Next Article in Journal
Small Molecule Liver X Receptor Modulator GAC0001E5 Targets Mechanisms of Endocrine Resistance in Estrogen Receptor-Positive Breast Cancer Cells
Previous Article in Journal
Carfilzomib Induces Cardiotoxicity by Blocking Autophagic Flux Through the cGAS-STING Signaling Pathway
Previous Article in Special Issue
Brain Lymphatic Dysfunction in Subarachnoid Hemorrhage: Pathophysiology and Clinical Implications
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

The Immune-Chemokine Axis in Alzheimer’s Disease: Roles of Adaptive Immune System in Neuroinflammation and Disease Progression

by
José Joaquín Merino
1,2,3,
José Julio Rodríguez-Arellano
4,5,
Xavier Busquets
6,
Isabel Álvarez-Vicente
7,
María Eugenia Cabaña-Muñoz
8,
Ana Isabel Flores
3 and
Adolfo Toledano Gasca
7,*
1
Facultad de Farmacia, Departamento de Farmacología, Farmacognosia y Botánica, Universidad Complutense de Madrid (UCM), 28040 Madrid, Spain
2
Instituto Pluridisciplinar, Universidad Complutense de Madrid (UCM), 28040 Madrid, Spain
3
Grupo de Medicina Regenerativa, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), 28041 Madrid, Spain
4
Functional Neuroanatomy Group, IKERBASQUE, Basque Foundation for Science, 48009 Bilbao, Spain
5
Department of Neurosciences, Medical Faculty, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain
6
Laboratory of Molecular Cell Biomedicine, Department of Biology, Faculty of Medicine, University of the Balearic Islands, 07122 Palma de Mallorca, Spain
7
Instituto Cajal, Consejo Superior de Investigaciones Científicas (CSIC), 28002 Madrid, Spain
8
Centro de Rehabilitación Oral Multidisciplinaría (CIROM), 30001 Murcia, Spain
*
Author to whom correspondence should be addressed.
Biomolecules 2026, 16(6), 855; https://doi.org/10.3390/biom16060855
Submission received: 11 March 2026 / Revised: 6 June 2026 / Accepted: 9 June 2026 / Published: 11 June 2026

Abstract

Alzheimer’s disease (AD) is a multifactorial neurodegenerative disorder characterized by amyloid-β (Aβ) and the accumulation of tau in the brain, which triggers robust innate immune responses. Growing evidence indicates that neuroinflammation contributes to AD progression by overactivating microglia through the release of cytokines and chemokines. In general, chemokines can disrupt neuronal communication and promote blood–brain barrier permeability. Peripheral immune cells are mobilized into the brain by a gradient of chemokines. These processes link peripheral immune responses with substantial T-cell infiltration into the CNS parenchyma, leptomeninges and cerebrospinal fluid of both AD mice and AD patients. This finding underscores the relevance of the adaptive immune system, particularly T and B cells, in AD neuropathology. T-cell infiltration into the brain can influence amyloid clearance through chemokine signalling. However, chemokines play a critical role in AD by either promoting or suppressing disease progression. The infiltration of peripheral T and B cells into the brain parenchyma can exacerbate neuronal loss, yet it may also exert neuroprotective effects. Despite the presence of CD4+ and CD8+ T cells in postmortem brains of AD patients, debate continues about their role in AD brains, in terms of whether they are protective or detrimental. Understanding the complex role of chemokines in controlling innate and adaptive immune responses by modulating neuron–glia interactions (involving astrocytes and microglia) may provide novel therapeutic approaches for AD. Targeting chemokine signalling or treating with drugs that can prevent the recruitment of immune cells may be promising strategies for treating AD neuropathology. Therapies that prevent the overactivation of T cells in the brain could lead to protective strategies against AD. In fact, regulatory T cells (Tregs) could delay the onset of cognitive symptoms, because they suppress inflammation and slow the accumulation of Aβ plaques and p-Tau in the brain. Complementary strategies, such as photobiomodulation, nanoparticle, and T-cell-based approaches, could mitigate AD progression in patients.

1. Introduction

AD is a progressive neurodegenerative disorder characterized by the accumulation of β-amyloid (Aβ) plaques and hyperphosphorylated p-Tau in the brain, inflammation, microglia overactivation (the brain’s resident immune cells), astrogliosis, and cognitive decline. Chemokines are inflammatory mediators that induce the recruitment of immune cells into the brain parenchyma. These chemokines act as modulators of the adaptive and immune responses by resident astrocytes and microglia cells. These chemokines are expressed by several cell types in the brain, including neurons, astrocytes, microglia, and vascular cells. In general, the high mobilization of peripheral immune cells into the brain, metabolic alterations and mitochondria dysfunction, and the breakdown of blood–brain barrier (BBB) integrity contributes to AD neuropathology [1,2,3]. Meanwhile, ApoE4 triggers inflammation in the brain, ultimately leading to the overactivation of microglia and astrocytes, as well as T cell activation in the brains of AD patients [4].
In general, chemokines have neuroprotective effects, yet they also contribute to neurodegeneration in rodent models of AD [5,6,7,8,9,10,11,12,13,14,15]. Under controlled inflammatory conditions, microglia can promote neuroprotection. However, chemokine-triggered recruitment of peripheral immune cells (e.g., neutrophils, Treg regulatory cells, T and B cells, and Natural Killer (NK)) exacerbates Aβ and tau deposition, and ultimately induces cognitive dysfunction in AD models [6,16,17,18,19,20]. The infiltration of CD4+ and CD8+ T cells into the brain can overactivate microglia, though it can also induce neuroprotective effects [18,19,20,21].
From a therapeutic viewpoint, treatments with chemokine antagonists, immune-modulatory drugs that promote Treg-induced responses, or complementary approaches such as photobiomodulation (PBM) are promising strategies for treating AD in patients [22].
This review summarizes the roles of the innate immune system, mainly consisting of microglia and infiltrating monocytes, and the adaptive immune system, consisting of T and B cells, in AD pathology, with a particular focus on chemokines.
We also point out significant gaps in the field regarding drugs that can enhance the removal of amyloid-β plaques in AD patients. Another unsolved issue is the lack of standardized protocols involving chemokine antagonists in AD clinical trials. Furthermore, some clinical studies with AD patients have not evaluated the impact of confounding factors, such as age, infections, and comorbidities. In addition, the long-term adverse effects of antigen-specific CD4+ T-cell-based nanodelivery therapies in AD patients remain to be elucidated. Finally, the use of PBM treatment as a complementary therapy requires more clinical evidence in AD patients.

2. Role of Innate Immunity in Alzheimer’s Disease (AD)

The Aβ40 and Aβ42 isoforms trigger chemoattractant responses via chemokines [4]. As the brain’s resident immune cells, microglia release chemoattractants (e.g., CCL2, CXCL8, and CXCL10) that recruit peripheral immune cells to the plaque sites in the brain. These chemokines promote the phagocytosis of Aβ by microglia. However, when these microglia cells become exhausted or overstimulated in the brain of AD models, they trigger a cytokine storm that leads to chronic inflammation [23,24]. In transgenic AD models, there is a massive accumulation of highly ramified microglia cells surrounding amyloid plaques. Aβ plaques release chemokines, such as CCL2 (MCP-1) and CXCL8 (IL-8), thereby propagating local inflammation [25]. Thus, chronic inflammation over time impairs the phagocytic capacity of microglia surrounding Aβ plaques over time [13]. Contradictory findings suggest that soluble fractalkine, a chemokine released by neurons, plays a role in preventing the overactivation of microglia in a CX3CR1-dependent manner, since accurate soluble fractalkine maintains correct neuron–microglia interactions. However, low levels of neuronal fractalkine or altered CX3CR1 signalling in microglia cells impair neuron–microglia communication and lead to neurodegeneration in AD models [25]. These chemokines act as “homing” signals for microglia and function as either suppressors or inducers of pathogenic alterations through multiple signalling pathways in the AD brain. Thus, certain chemokine ligands (e.g., fractalkine) can regulate chemotaxis of microglia via CX3CR1 receptors, which sense gradients and drive migration toward amyloid-beta plaques in the brain [7].
A recent study examined the generation of APP/PS1 transgenic AD mice that express thymidine kinase under the control of the CD11b promoter for the selective targeting of microglia. Surprisingly, the ablation with loss of 95% of microglia in these APP/PS1 mice did not alter amyloid pathology. This suggests that microglia are not the primary drivers of Aβ clearance and that other factors may be sufficient to remove plaques [26].
Conversely, the recruitment of inflammatory mediators to the brain is directed by chemokines, cell adhesion molecules (e.g., selectins, VCAM-1, and ICAM-1), and integrins (e.g., LFA-1, VLA-4, and α4β1) [27]. Chemokines regulate BBB integrity, which is often compromised in AD patients. Augmented CCL2 and CCL5 levels can weaken BBB tight junctions, allowing peripheral immune cells such as T cells and monocytes to infiltrate into the brain parenchyma. This exacerbates local neuroinflammation and increases neuronal loss. The binding of chemokine ligands to endothelial cells triggers signalling pathways and leads to the reorganization of tight junction proteins. Thus, BBB integrity depends on tight junctions (TJs) that seal the spaces between endothelial cells through interactions among zonula occludens-1 (ZO-1), claudins, and occludins. Consequently, the “zipper-like” seal between cells loosens and allows small molecules to reach the brain parenchyma. Additionally, chemokines induce matrix metalloproteinases (MMPs 2 and 9) and facilitate BBB breakdown by activating astrocytes, microglia, and endothelial cells. Thus, MPPs degrade the basement membrane and the extracellular matrix, while chemokines stimulate the expression of adhesion molecules (i.e., ICAM-1 and VCAM-1) on the endothelial surface. These molecules act as anchors for leukocytes (see Figure 1) [28].

2.1. The Role of Innate Immune Cell Types (Monocyte, Neutrophils, and Dendritic Cells) in AD

The role of the adaptive immune system in AD models is not well understood. However, several pieces of evidence suggest that perivascular macrophages (PVMs) may contribute to the clearance of Aβ deposits in the brain. Supporting this hypothesis, PVMs can remove Aβ plaques from cerebral blood vessels in models of cerebral Aβ angiopathy [29]. However, another study argues against a significant contribution of peripheral immune cells to the phagocytosis of amyloid plaques [8]. Microglia and infiltrated macrophages share many surface markers, but PVMs maintain vascular integrity and reduce cerebral amyloid angiopathy. Thus, targeting PVM activation may be a potential therapeutic strategy for clearing vascular amyloid [30]. In another study with bone marrow chimeric mice, the blood-derived monocytes were preserved and microglia were ablated. However, replacing the microglia with peripherally derived cells did not alter the clearance of amyloid [31]. Additionally, the recruitment of bone marrow derived cells is almost absent in a parabiosis mouse model [32]. Therefore, potential therapeutic strategies that aim to regulate the recruitment of monocytes/perivascular macrophages could increase the removal of senile plaques in AD models.

2.1.1. Monocyte Infiltration and Chemokines in AD

The protective or detrimental role of monocyte infiltration in AD is still debated [33]. Postmortem studies confirm the accumulation of CD14+ CD16+ monocyte-derived macrophages near sites affected by cerebral Aβ angiopathy. During the early stages of AD, macrophages exert neuroprotective effects through TREM2/CD36-dependent phagocytosis of soluble Aβ species. However, Aβ is not effectively degraded [34]. For instance, the CXCR2/CXCL8 chemokine axis, which is released by macrophage/monocytes and other cell types, can activate microglia in an injured brain [35]. In this context, macrophages adopt a disease-associated metabolic profile (DAMP), which is characterized by impaired mitophagy in AD patients [36]. The negative association reported between the low phagocytic activity of peripheral monocytes and the accumulation of Aβ and p-Tau proteins suggests that monocytes and microglia play a role in clearing amyloid beta in AD models [37,38]. In fact, circulating monocyte counts may serve as a biomarker for diagnosing AD. For instance, CCL2 (also known as MCP-1, or monocyte chemoattractant protein-1), CXCL8 (IL-8), CXCL10 (IP-10), and CCL5 (also known as RANTES, or regulated on activation, normal T-cell expressed and secreted) are chemokines that enhance the recruitment of peripheral immune cells [39,40]. In a recent study, researchers compared tau levels between patients with AD (n = 127) and 100 age- and sex-matched controls (without neurodegeneration). Their findings confirmed that decreased blood monocyte counts correlated with CSF and plasma tau levels [34,41]. Thus, peripheral monocytes can enhance Aβ clearance, and infiltrating monocytes in the brain may have a greater capacity than resident microglia to remove amyloid plaques [30]. However, in other studies, macrophages have been shown to increase microglial activation and exacerbate neuroinflammation [42]. Finally, a recent study of human cortical organoids confirmed that interleukin-1β (IL-1β) regulates the interaction between neurons and astrocytes. In addition, the CCL3 chemokine was found to increase monocyte infiltration into the parenchyma [43].

2.1.2. Neutrophil-Induced Migration in AD

Aβ deposits in the brains of transgenic AD models induce neutrophil activation. The expression of pro-inflammatory genes, such as NLRP3 and IL1β, appears to be necessary for neutrophil mobilization and cognitive decline in 3xTg AD mice. Furthermore, neutrophils from young AD mice exhibit impaired Aβ phagocytosis and elevated cytokine production in vitro [44]. Conversely, neuroprotective effects were demonstrated in AD models when neutrophil migration into the brain was blocked. In this context, lipocalin-2 (also known as neutrophil gelatinase-associated lipocalin, or NGAL) is a 25 kDa secreted glycoprotein that regulates the innate immune system and induces neuroinflammation in AD by recruiting neutrophils [45]. LCN2 receptors are expressed in neurons, astrocytes, and microglia, and contribute to migration, differentiation, and cell death. Thus, lipocalin-2 represents a potential therapeutic target, and its levels increase in the plasma and postmortem brains of AD patients [45,46,47,48].

2.1.3. Dendritic Cells and AD

Oligomeric forms of human amyloid-β [49] inhibit antigen presentation [50] and promote the differentiation of pro-inflammatory human myeloid dendritic cells. They act as immunomodulators in human-derived dendritic cells (DCs) [51]. CCL3 (also known as MIP-1α) is a potent chemokine that activates both innate and adaptive immune responses. It promotes the recruitment of dendritic cells to lymph nodes and induces T-cell responses [52]. Several cell types, including lymphocytes, macrophages, and dendritic cells, produce CCL3. In addition, CCL19 and CCL21 ligands bind to the receptor CCR7, which controls dendritic cell mobilization and regulates the homing of naïve T cells and mature DCs to lymphoid tissues. Furthermore, monocytes and DCs release CCL18, which attracts T cells under inflammatory conditions [52].

3. Chemokine Signaling in AD

Studies in several transgenic mouse models of AD have demonstrated the critical role of chemokines and their receptors in neuroinflammatory processes and AD neuropathology [7]. During an inflammatory state, non-resident peripheral immune cells are recruited into the AD brain through chemokine gradients, thereby amplifying neuroinflammation [6,11]. Certain chemokines, such as CXCL8, and their receptors, such as CXCR2, are elevated in the serum and cerebrospinal fluid (CSF) of patients with AD. These chemokines are present in dystrophic neurites in AD brains [4,7]. Similarly, CCL2 deficiency and CCR2 deficiency leads to Aβ accumulation due to impaired clearance of amyloid [53]. APP-CCR2/ mice, for example, exhibit increased Aβ accumulation, indicating that CCR2 deficiency accelerates the early progression of AD pathology [54]. Consistently, CCR2 deficiency in APP/PS1 mice has been associated with impaired memory performance and enhanced Aβ deposition [55]. Additionally, CXCR2 deficiency in APP/PS1 mice has been shown to reduce Aβ accumulation while increasing the levels of γ-secretase substrates [56].
Taken together, these findings support the hypothesis that altered chemokine expression is associated with impaired Aβ clearance and the progression of inflammation and neurodegeneration. The CCR3/CCL24 axis plays a significant role in AD pathology, and high expression of CCR3 and its ligands is associated with Aβ deposition, gliosis, synaptic impairment, and cognitive decline [57]. Additionally, reduced CCL1 expression has been reported in APP/PS1 mice [58], and this downregulation may contribute to increased Aβ accumulation [59]. Additionally, decreased CCR5 expression has been linked to astrocyte activation and elevated Aβ deposition [60]. On the other hand, CX3CR1 deficiency in AD mouse models, including APP/PS1, and CRND8 mice, has been shown to reduce Aβ deposition by enhancing the phagocytic activity of microglia [61,62]. In addition, CCR5-positive microglia have been identified in association with Aβ deposits in patients with AD [63]. Consistent with this observation, CCR5/ mice exhibit Aβ accumulation and BACE1 expression compared with control animals, suggesting a potential role for CCR5 in removing amyloid plates [64]. Additionally, CXCR3 deficiency reduces plaque accumulation in APP/PS1 transgenic mice and promotes overactivation of microglia [65]. In addition, CXCL10 has been reported to co-localize with Aβ plaques in APP-transgenic mice and has been associated with increased neuroinflammatory responses in AD [66]. In fact, several chemokines, including CCL19, CCL20, CCL24, and CCL27, have been associated with amyloid pathology and neuroinflammatory processes in APP/PS1 transgenic mice [57]. Furthermore, CCR7 deficiency has been linked to impaired glymphatic clearance, enhanced neuroinflammatory responses, increased Aβ accumulation, and cognitive decline in AD mouse models [67]. Studies in AD models using germ-free mice have demonstrated that induced neuroinflammation by microglia and astrocytes depends on the gut microbiome composition. The CXCR4/SDF-1α axis regulates gut dysbiosis in AD because gut microbiota-derived metabolites are released into the bloodstream and can cross the blood–brain barrier, leading to the overactivation of microglia [68]. In AD rodent models, this evidence is supported by the enhanced migration of immune cells from the gut to the brain via SDF-1 α-CXCR4-chemotaxis [69]. Table 1 summarizes the functions of selected chemokines by role.

4. Contribution of T- and B-Cell-Mediated Adaptive Immune Responses in AD

In a healthy brain, T-cells, the primary “soldiers” of adaptive immunity, are largely kept out by the BBB, while the leptomeninges represent a site of substantial clonal expansion of CD8 T cells [16]. In AD, inflammation drives the infiltration of cytotoxic T cells into the brain, as BBB disruption increases the number of CD8+ (cytotoxic) and CD4+ (helper) T cells that enter the brain. These findings are consistent with the elevated number of T and B cells found in the cerebrospinal fluid of AD patients [70]. However, several lines of evidence suggest that cerebral Aβ deposition alone is insufficient to drive T-cell infiltration. Another study indicates that antigen presentation at perivascular sites facilitates the infiltration of CD8+ T cells into the brain parenchyma. Additionally, other proteins such as leucocyte function-associated antigen (LFA-1) contribute to T-cell infiltration in AD brain [27], as do ICAM-1 and VCAM-1 on endothelial cells in AD brains [28]. This suggests that Aβ-induced endothelial activation may contribute to T-cell infiltration in AD [34].
Three hypotheses may explain the link between T-cell dysfunction in AD.

4.1. Hypothesis of Altered T-Cell Function in the AD Brain

Three hypotheses link T-cell dysfunction to AD—viral reactivation, increased chemokine-driven brain T-cell recruitment, and infection-induced T-cell exhaustion—all of which promote neuroinflammation [70,71,72,73]. T cells are activated by antigen-presenting cells and support immune surveillance. However, autoreactive T cells in the brain can amplify neuroinflammation [74,75]. T cells, macrophages, and microglia increase the clearance of extracellular amyloid protein [20,30,37], while T-cell overactivation induces neuronal death [75]. In aging, T cells undergo immunosenescence. CD8+ TEMRA cells become exhausted, cytotoxic, and sometimes NK-like and contribute to AD pathology [20,75].
On the other hand, the dura mater drains soluble antigens released into the CSF through the brain’s glymphatic system [16]. In mice, meningeal macrophages internalize CSF-derived proteins and present antigens to T cells as antigen-presenting cells (APCs) [70,76]. Lymphatic function is reduced and neuroinflammation is exacerbated in the meninges of aged mice [77]. In mouse models, the meninges regulate inflammation [70] and microglia recruit and present antigens to T cells in tauopathies [78]. In the CNS, T cells and mature APCs contribute to the immune surveillance (https://www.sciencedirect.com/topics/immunology-and-microbiology/immunosurveillance, accessed on 26 February 2026) in perivascular and meningeal spaces [79,80]. T cells retained in the brain parenchyma are often autoreactive T cells and amplify neuroinflammation [73,81]. Conversely, in the absence (https://www.sciencedirect.com/topics/neuroscience/epileptic-absence, accessed on 26 February 2026) of antigen-specific activation, T cells are “naïve cells”. T cells interact with APCs that express the major histocompatibility complex (https://www.sciencedirect.com/topics/neuroscience/major-histocompatibility-complex, accessed on 26 February 2026) (MHC) after entering circulation. Through their T-cell receptors (TCRs) (https://www.sciencedirect.com/topics/biochemistry-genetics-and-molecular-biology/t-cell-receptor, accessed on 26 February 2026), these APCs can present T cells with virus antigens or self-antigens, causing naïve T cells to transform into effector and memory T cells (https://www.sciencedirect.com/topics/biochemistry-genetics-and-molecular-biology/memory-t-cell, accessed on 26 February 2026) that release pro-inflammatory cytokines [82].
In addition, the local immune environment within the leptomeninges modulates T-cell clonal expansion, as well as direct Natural Killer (NK) cell-mediated killing of activated CD8 T cells [83]. These NK cells may regulate the number of CD8+ T cells at the vessel lumen in the human leptomeninges by actively limiting their numbers through direct contact and targeted killing [83]. Interestingly, AD patients with high leptomeningeal CD8 T-cell resident memory (TRM) clonal expansion have less inflammation. This suggests that a deficiency of clonally expanded CD8 TRM cells in the leptomeninges enhances neuroinflammation in AD [70]. Meningeal NK cells also influence astrocyte-mediated killing of infiltrating lymphocytes through cytokine production [84]. These CD8 T cells are the primary source of clonally expanded T cells in the leptomeninges and are potentially regulated by microglia and local leptomeningeal; CD8 regulatory T cells to control neuroinflammation in AD [85,86]. Thus, peripheral innate immune cells are critical modulators of AD pathogenesis [75]. In addition, infiltrated macrophages in the brain of AD models have a greater ability than resident microglia to remove CNS plaques [87]. Infiltrating T cells can interact with damaged resident astrocytes and neurons, leading to overactivation of microglia in AD models [88]. Consistent with these findings, a recent report confirmed increased T-cell clonal expansion in the CSF of patients with mild cognitive impairment associated with aging and late-onset AD [77,89]. In conclusion, the infiltration of peripheral T and B cells into the brain parenchyma can exacerbate neuronal loss [89], yet it can also have neuroprotective effects [90]. Shortened telomeres in T cells can explain the detrimental role of adaptive T and B cells in AD neuropathology [91]. Additionally, TNF-α-induced apoptosis by T cells in AD patients and lower CD28 expression of CD8+ T cells correlated with AD severity [92]. Another study confirmed a decreased percentage of naïve CD4+ T cells and a high percentage of terminally differentiated memory CD4+ T cells, with no change in CD8+ T-cell phenotypes. In these AD patients, more senescent phenotypes were restricted to CD4+ T cells [93]. Additionally, leptomeningeal CD8 T-cell clonal expansion and T-cell activity are impaired by Aβ-reactive T cells in AD [94]. The reduced protective effects of T-cells are explained by the low number of mature APCs in the brains of APP-transgenic mice; most of the APCs in amyloid-burdened brains are immature. T cells are activated by mature APCs, as well as by activated macrophages and antibody-producing B cells in CD4+ T-helper cells [72]. However, amyloidosis could impair the presentation of antigens by directly blocking T-cell activation in AD rodent models [80]. A recent study has revealed that the ApoE ε4 genotype alterations are associated with peripheral T-cell dysregulation, as overt T-cell activation induces neuronal death [94,95].
Additionally, the release of IL-17 and IFN gamma by overactivated microglia (Th1 and Th17 responses) leads to detrimental effects in T cells and neurodegeneration in AD [95,96]. Furthermore, CD8+ T cells can attack neurons and exacerbate amyloid-related cognitive impairment [96], while IL-17-dependent responses associated with γδ T cells promote cognitive impairment at the early stages of AD neuropathology [97]. The high frequency of Th17 cells indicates that the activation of adaptive immune cells is associated with neurodegeneration in AD [98]. T cells are the primary source of interferon γ (IFN-γ)-producing cells, and neurons and microglia express IFN-γ receptors [99]. Thus, a lack of T-cell-derived IFN-γ responses could impair phagocytosis by microglia and macrophages [100]; in fact, IFN-γ enhances the phagocytosis of Aβ-immunized APP-transgenic mice [94]. In this context, certain chemokines (CCL2, CCL5, CXCL10, CXCL16) in IFN-γ-stimulated microglia and astrocytes can enhance the mobilization of immune cells from the periphery to the brain [97]. IFN modulates microglial activation and antigen presentation in the brain [98,99]. Microglia activation downstream of CD8+ T-cell signalling can promote acute or chronic inflammation in the AD brain [99,100,101,102]. Therefore, it is reasonable to assume that certain levels of IFN-γ are necessary for an adequate immune response in AD. Conversely, the anergic role of T-cells might inhibit the phagocytic activity of microglia by releasing anti-inflammatory mediators, such as IL-10, in AD models [103]. However, cytotoxic T-cell-mediated responses are absent in the APP-transgenic AD mice because the brain does not orchestrate T-cell-induced protective responses against amyloid-beta peptide toxicity [104]. Consistent with this evidence, T-cell-induced cytotoxic responses are absent in human AD brains [104]. Therefore, identifying risk factors that contribute to AD pathology in the blood and CSF of AD patients could help to develop better pharmacological interventions. Collectively, these protective T-cell-induced effects are mediated by the phagocytosis of extracellular amyloid plaques by macrophages or microglia [105].

4.2. The Role of CD8+ TEMRA Cells in AD

Experimental evidence from rodent models of AD suggests that depleting mature B cells reduces neuroinflammation and cognitive decline by decreasing the presence of DAM molecules [106]. DAMs promote chronic inflammatory signals and lead to dysfunctional microglia, which impairs neuronal function [106,107,108]. Growing evidence indicates a role of CD8+ tissue-resident memory T cells (Trm) in AD progression. In particular, high levels of CD4+ and CD8+ TEMRA cells are specifically detected early in the disease. CD4+ TEMRA cells, but not CD8+ TEMRA cells, positively correlate with AD biomarkers, such as the serum Aβ42/40 ratio, Nfl, and GFAP [108,109,110,111,112]. This suggests that TEMRA cells increase T-cell functionality at the early stages of AD neurodegeneration [113]. Therefore, strategies that can block or reshape T-cell responses are promising for mitigating neurodegeneration [114].
CD8+ T-cell subsets are a new area of research for AD. These cells drive microglial function [112,113,114] and the recruitment of brain T cells, which provokes changes in T-cell receptors (TCRs) and increases neuroinflammation [115]. Conversely, CD8+ T cells are induced by peripheral B cells in the human AD brain and act by targeting disease-associated microglia (DAM). Ablation of these CD8+ T cells and B cells block amyloidosis-linked neurodegeneration and decreases CD8+ T-cell accumulation in the brain, making them therapeutic targets for controlling AD [112,116]. A recent study found that enhanced amyloid clearance and lower Aβ burden were associated with increased phagocytic activity of microglia in APP-PS1-dE9 transgenic mice lacking mature B and T cells due to peripheral T-cell depletion in this model [117]. Changes in T-cell reactivity to the Aβ peptide in the early stages of AD have been reported in patients with AD. In fact, analysis of the single-cell transcriptional profiles of CD4+ and CD8+ T-cell populations in peripheral blood suggests impaired CD4+ regulatory T-cell function in subjects with early AD pathology [118]. Patients with minor cognitive impairment showed signs of neurodegeneration associated with less immunosuppressive Treg responses and enhanced pro-inflammatory CD8+ TEMRA/effector transcriptomic profiles in AD patients [74,118]. In these patients, autoreactive CD4+ memory T cells were reported against the Aβ1-42 peptide, independently of latent widespread Herpes viridae infection [118,119]. T cells could contribute to AD pathology in APP23-transgenic (APP23-tg) mice, as T-cell populations, particularly CD8+ T cells, are located around Aβ plaques, during the late stages of AD with amyloid. These CD8+ T cells indirectly exacerbate neurodegeneration by regulating IFN-γ-associated signaling in glial cells [99,102,120].
The presence of T-cell populations, particularly CD8+ T cells, has been demonstrated in late disease stages of APP23-transgenic AD mice, clustering around Aβ plaques. Accumulation of CD3+ and CD8+ T cells has been reported in the brains of APPNL-G-F transgenic AD mice and contributes to neurodegeneration [121]. Furthermore, activation of microglia downstream of CD8+ T-cell signalling can lead to a chronic inflammation in the brain [102,108]. However, T-cell-derived IFN-γ shapes the response of microglia rather than T-cell recruitment per se [102]. Furthermore, the Aβ plaque-associated subset of CD8+ T cells that express interferon-stimulated genes (ISGs) contribute to amyloid-related neuroinflammation [120]. Thus, type-I interferon IFN microglia cells near plaques contribute to the progression of amyloid pathology in AD patients and T-cell-mediated neuroinflammation. Specifically, this population of microglia enhances synapse loss in human AD brains [120]. Additionally, the selective accumulation of CD8+ T cells has been reported not only in the brains of both 5xFAD transgenic mice [121] and P301S-prion mice [78], but also these cells contribute to neurodegeneration. Interestingly, brain sections from P301S+/+ mice with CD8+ T cells have less phosphorylated tau than those without CD8+ T cells [121]. In another study, TCRα-deficient 5xFAD at 4 and 10 months of age (mice lacking both CD8+ and CD4+ T cells: 5xFAD; Tcra−/− mice) exhibited high Aβ deposition in the brain [122]. It is worth mentioning that an increased number of CD8+ T cells have been reported in brain areas with tau pathology. In a tauopathy mouse model with neurofibrillary tau tangle pathology, depleting T cells using anti-CD4 and anti-CD8 antibodies mitigated brain atrophy and decreased cognitive dysfunction from 6 to 9.5 months. Moreover, astrogliosis and microglia overactivation decreased by 5 months of age due to the depletion [123].
Conversely, a study found that a decreased number of CD8+ T cells leads to increased Aβ plaque deposition. Thus, these findings revealed a protective role of CD8+ T cells against AD progression [124], which is supported by decreased Aβ accumulation in the brains of AD mice through the genetic disruption of CD8+ T cells. Consequently, chemokine signalling in CD8 T cells could protect against neuroinflammation in AD [125,126].

Is There Any Relationship Between Viral Infections and AD?

Recent studies suggest that certain bacterial infections play a role in the brains of AD models. For example, Borrelia burgdorferi sensu lato (Bbsl) invades the brain and provokes a persistent neuroinflammatory state that enhances Aβ and tau accumulation by neuroborreliosis (Lyme disease) [127].
Certain viral infections, such as hepatitis B and influenza, are known to trigger chronic inflammation and provoke BBB disruption [127], which leads to Aβ neurotoxicity [128] and memory impairment in AD [129]. In this sense, influenza and herpes viruses can cause neurodegeneration [130]. However, the presence of highly clonally expanded T cells specific to these viruses in the leptomeninges does not confirm that they cause viral AD. The CD8+ subtype of T cells has a higher frequency of TEMRA/effector cells, which increases the pro-inflammatory gene expression profile and decreases antigen responsiveness. Nevertheless, the presence of autoreactive CD4+ memory T cells against the Aβ1-42 peptide is independent of latent, widespread Herpes viridae infections in AD patients [74]. Downregulation of genes involved in antigen processing and immunoglobulin binding suggests impaired adaptive immune responses by T cells in AD [123]. Recent studies have shown that T cells expressing TCRs against viral antigens can regulate brain T-cell-mediated autoimmunity via meningeal lymphatics to cervical lymph nodes [77]. Additionally, Toxoplasma gondii infection in the brains of 3-month-old 5xFAD transgenic mice was associated with increased monocyte infiltration and a high number of CD4+ and CD8+ T cells, as well as overactivation of microglia [131]. Another study confirmed that the number of CD8+ T cells increased in the brain parenchyma at 10–12 months of age. Improvements in cognitive function associated with reduced Aβ plaque accumulation were observed following CD8+ T cell depletion [132,133,134,135,136].
In conclusion, the adaptive immune system in AD, the upregulation of effector T-cell activities [132], and impaired Treg cell-related immunomodulatory mechanisms accelerate the progression of AD in transgenic AD models [133]. Additionally, exposure to certain pollutants (e.g., mercury and aluminum) may accelerate neuroinflammation, and early-life exposure to herpes simplex virus (HSV-1) can provoke cerebral amyloid angiopathy [134].

4.3. The Protective Effects of T Cells and Regulatory T Cells (Tregs) Against AD

Treg cells act as the “peacekeepers” by suppressing excessive inflammation and “rejuvenating” and maintaining immune homeostasis. One study suggests that T cells have a neuroprotective role against AD because they may prevent neurodegeneration. Intracranial infusion of the anti-Aβ antibody (3D6) restored inflammation to normal levels by activating microglia in a CCL2-dependent manner [40]. Treg cells mimic T-cell signalling to coordinate the brain’s response to Aβ plaques and maintain complement-activating pathways. Consistent with the protective effects of Tregs, Tregs enhance the phagocytosis (engulfment) of amyloid and tau in 5xFAD and 3xTg-AD models. Additionally, T cell exosomes play a protective role in cells [137,138]. Another study found that transient depletion of Foxp3+ Tregs or pharmacological inhibition of their activity was followed by reduced neuroinflammation, enhanced Aβ plaque clearance, and improved cognition. These results suggest that targeting Treg-mediated systemic immunosuppression could be an effective treatment for AD pathology [116].

5. Chemokine Signalling and T Cells in AD

5.1. The CXCR4/SDF-1α Axis Influences Microglia–T-Cell Crosstalk in AD Models

SDF1 alpha is associated with an increase in brain-associated B-lineage cells that express the CXCR4 receptor. CXCR4+ antibody-secreting cells are significantly reduced in the gut of 5xFAD AD mice. Conversely, CXCR4+ antibody-secreting cells (ASCs) are present in the colon, while CXCR4+ B cells and gut-specific IgA+ cells accumulate in the brain and dura mater. These findings suggest that there is enhanced SDF-1α-dependent recruitment of immune cells into the brains of 5xFAD mice. In this model, SDF-1α is released by astrocytes, and its levels correlate with the infiltration of CXCR4+ B cells and gut-specific IgA+ cells into the brain and dura mater. These effects appear to be SDF-1α specific because CXCR4 blockade by AMD3100 (a CXCR4 antagonist) abolished the migration of immune cells into the brain [69].

5.2. The CXCR3 and CXCR6 and Microglia–T-Cell Recruitment in AD Models

Chemokines increase T-cell recruitment in a CXCL10-CXCR3-dependent manner. The CXCR3 chemokine receptor enables the recruitment of specific memory CD8+ T cells to areas of the cortex of 5xFAD AD transgenic mice [18] containing activated APCs that express CXCL9/10/11 [139,140].
CD8+ T cells contribute to neurodegeneration through direct cytotoxicity and indirect glial-enhanced inflammatory responses. In fact, infiltrated CD8+ T in the hippocampus and cortex of 6- to 7-month-old 5xFAD mice express CXCR3 [18,140]. This subset of CD8+ T cells associated with Aβ plaques promotes type-I interferon signalling and recruits non-ISG T cells through the CXCR3-CXCL10 axis. Therefore, type-I interferon responses in microglia cells near plaques could be a target for drugs that prevent the accumulation of amyloid plaques in the human AD brain [141]. Additionally, certain chemokines, such as the CCR2/CCL2 axis, recruit leukocytes to the brain and promote the differentiation of naïve T cells [7]. Other chemokines, such as CXCL8, activate neutrophils and T cells in newborn humans and are anti-inflammatory, with implications for immune monitoring and immune interventions [96].
Conversely, Cxcr6 deficiency or CD8+ T-cell depletion decreased the clonal expansion of brain PD-1+ CD8+ T cells in the brain and increased the release of pro-inflammatory cytokines in microglia. In this study, the high number of CD3+TCRβ+ T cells is due to the accumulation of CD8+ T cells [113]. Additionally, CXCR6 plays a role in memory formation. Its deficiency disrupts the spatial localization of CD8+ T cells near Aβ plaque-associated microglia, resulting in memory deficits in AD transgenic mice. Once recruited, T cells engage in reciprocal interactions with microglia to reinforce their activation and neurodegeneration [113]. These findings suggest a key role for the CXCR6 chemokine in AD. Indeed, the analysis of single-cell RNA sequencing datasets of brain-derived CD8+ T cells confirmed a CXCR6-related immunosuppressive cluster with stem-like features in Cxcr6-deficient AD mice. Since CXCR6-related CD8+ T cells decrease Aβ pathology, they may have a neuroprotective role in the brain [80] (see Table 2). Analyzing single-cell RNA sequencing samples from CSF in AD patients, compared with 45 cognitively normal subjects (aged 54–82 years), revealed CXCR6’s role in CD8 T-cell recruitment. In this study, defective CD8 T cytokine signalling was associated with decreased expression of lipid transport genes in monocytes. Taken together, these findings suggest that the CXCL16-CXCR6 signaling axis promotes the recruitment of antigen-specific T-cells into the brain via CD8+ T effector memory T cells [142]. Another study of the CSF from cognitively impaired AD patients reported increased CXCR6 expression in CD8+ memory T cells, along with increased levels of CXCL16 in microglia and monocytes. These results suggest that this chemokine axis regulates the recruitment of brain-resident T cells into damaged areas of the CNS [76,143].
As shown in Figure 2A, the progressive aggregation of amyloid-β in extracellular amyloid plaques and of tau protein in neurofibrillary tangles is a pathological hallmark of AD. Neuroinflammation, neuronal death, synaptic loss, and monocyte infiltration can compromise the blood–brain barrier. These immune cells infiltrate the brain parenchyma and interact with glial cells and neurons. In a rodent model of tauopathy, the neuroinflammatory response by activated microglia and effector-type T cells contributes to neurodegeneration in a CX3CR1-fractalkine-dependent manner. In fact, the release of low levels of soluble fractalkine by vulnerable neurons impairs the function of microglia. This leads to the accumulation of p-Tau and the deposition of amyloid beta in the brains of patients with AD and taupathies [114]. The presence of activated T cells has been demonstrated in the brains of transgenic mice with frontotemporal dementia (FTD), which correlates with overactivated microglia and tau deposition. An increased number of activated T cells (CD4+ and especially CD8+ cells) are found in the parenchyma, leading to neurodegeneration. Interestingly, tau transgenic mice with an apolipoprotein E (ApoE) knockout background were protected against T-cell infiltration. This suggests that T-cell infiltration is associated with tau pathology progression (Braak staging). Neuronal tau aggregation triggers microglia activation and results in the recruitment, clonal expansion, and activation of T CD8+ cells in the brain. This inflammatory cascade is enhanced by microglia MHC-II and CD11c microglia cells, as IFN gamma, released by clonal CD8+ cells, activates T cells in the brain. Taken together, these findings link T-cell accumulation with p-Tau and amyloid-beta deposition, resulting in neurotoxicity and neurodegeneration.
As shown in Figure 2B, activated T cells have been found in the postmortem brains of individuals with different neurological disorders, including AD, particularly in regions experiencing neuronal loss and tau pathology, such as the hippocampus and limbic structures. These infiltrating T cells activate astrocytes in the brain parenchyma, prompting the release of chemokines, such as CXCL10, CXCL9, and CCR4 chemokines. Certain chemokines, such as CCR3, which are released by infiltrating T cells, can overactivate microglia, leading to neurotoxicity. This exacerbates local inflammation and enhances neuronal loss.
As shown in Figure 2C, the infiltration of CD4 and CD8+ T cells into the brain parenchyma promotes detrimental effects, leading to Aβ plaque accumulation and microglia overactivation through the release of the chemokine interleukin-17 (IL-17) by microglia. In fact, CD8+ clonal infiltrates are found in the brain parenchyma, where they activate microglia through the release of IFN gamma from activated CD8+ T cells. Overactivated microglia release the chemokine CXCL10, which binds to the CXCR3 chemokine receptor in astrocytes. Thus, CXCR3 contributes to neurodegeneration in conjunction with altered CXCR6-CXCL16 signalling by CD8+ T-cell infiltrates in the brain (see Figure 2A–C, as well as Table 2).
Table 2 illustrates the results of studies with T cells in AD, including AD models and AD patients, with an emphasis on the experimental models, immune cell subtypes, key signalling pathways, and protective versus detrimental effects in AD models and patients.

6. Gaps and Future Interventions in Chemokine Signaling in AD

There are significant knowledge gaps in the field of chemokines and neuroinflammation in AD. Current knowledge about blood-derived mononuclear cell infiltration in the AD brain parenchyma is limited to animal models. It is unclear whether T-cell recruitment to the brain is a compensatory mechanism against amyloid-β and tau accumulation contributing to cell death, given the dual protective/detrimental role of T cells. Another gap is understanding the role of chemokines in initiating neurodegeneration and the exact molecular mechanism by which chemokines promote a silent chronic, inflammatory state in AD brains by chemokines (e.g., CCL2, CXCL10, and CX3CL1 are augmented in AD patients). Therefore, it is impossible to confirm whether chemokine changes reflect the causality of AD neuropathology. Chemokine systems are pleiotropic ligands, meaning they bind to the different receptors, and vice versa. Thus, blocking a single chemokine receptor could be compensated by different chemokine ligands. This feature could decrease the efficacy of certain chemokine antagonists in clinical trials. Different chemokine signalling pathways depend on the disease state and cell type, as well as neuron–glia interactions in the injured brain. Additionally, chemokines exhibit distinct receptor expression patterns in astrocytes, neurons, and vascular cells, and can regulate microglial activation. For instance, the neuroprotective or neurotoxic role of soluble fractalkine depends on metalloprotease activation and the stage of AD progression [144]. On the other hand, inflammation is a dynamic process that can result in protective responses in early AD, but not in late stages. Additionally, tracking chemokine changes in living patients is limited in longitudinal studies. Furthermore, because chemokine signalling pathways differ between species, clinical trials often fail or are inefficient. Furthermore, the role of chemokine pathways in linking Aβ and p-Tau deposition in the brains of patients with AD is not fully understood. In fact, AD rodent models often overexpress amyloid, yet they do not fully replicate AD progression in patients or translate well to human subjects. Although chemokines are promising biomarkers of AD in CSF and blood samples, their levels vary across clinical trials. Regarding biomarker development, the absence of a standardized panel of chemokines introduces variability in clinical studies. In addition, some studies did not consider confounding factors (age, infections, comorbidities) when interpreting AD diagnoses. Timing, specificity, and patient stratification are major unresolved issues that can affect the inflammatory responses; given the different “inflammatory phenotypes” in AD pathology (e.g., ApoE genotype), the study of single-cell specific chemokine signaling pathways would identify new targets for neuroprotective and anti-inflammatory drugs in AD. Unfortunately, as AD progresses, Tregs often become “exhausted” or dysfunctional, reducing their efficacy. Thus, strategies that increase the number of Treg and their functionality are other protective strategies against AD progression. More research is needed on the use of T cells as a target for drugs in the brains of AD patients before it can be translated into clinical practice.

7. Therapeutic Intervention in AD: Effects on Immune and Adaptive Immune Responses

7.1. Control of Adaptive Immune Response

Removing microglia or T cells, or suppressing their activation by IFNγ, reverses the neuroinflammatory responses in the brain. This leads to neuroprotective effects against tau pathology [145]. New insights are emerging about how engineered T cells provide protection against AD pathology. A recent study used antigen-specific CD4+ T-cell-based nanodelivery cell therapy for AD with no potential side effects. This study found that CD4+ Treg cells and microglia contribute to effective immunotherapy against AD, suggesting a protective role of Treg cells. In this cell-based nanodelivery strategy, Aβ1-42-specific, brain-infiltrating CD4+ T cells were detected in the brains of APP/PS1 transgenic mice, resulting in neuroprotection, decreased Aβ deposition, and diminished synaptic damage. These protective effects are associated with a greater percentage of Treg cells in the brain, favoring protective plaque-associated microglial responses in AD [145]. Tregs maintain immunological homeostasis and antigen tolerance [146], in both physiological and pathological conditions [147,148]. Interestingly, Tregs play an important role in generating several subtypes of reactive astrocytes in AD, which are linked to amyloid deposits [149]. While Tregs do not directly affect the number or morphology of these astrocytes, early Treg depletion reduces neuroprotective A2 astrocyte-dependent responses [137].

7.2. Pharmacological Interventions: Agonists and Chemokine Blockers (Antagonists)

In AD settings, T cells can contribute to disease progression and serve as a potential target for intervention. Immunoassays have also linked CXCL8 to the recruitment of T cells (γδ T, CD8+ T), suggesting that it plays a role in sustaining neuroinflammation. Among potential therapeutics, nonsteroidal anti-inflammatory drugs have emerged as modulators of CXCL8-driven pathology [149]. For instance, ibuprofen has been shown to significantly suppress neurodegeneration by regulating CXCL8 expression. Altered CXCL8 signalling impairs neuron–glia communication in the brain, leading to p-Tau deposition in AD models via the p38 MAPK signaling pathway [16]. Since chemokines drive the immune response, they are major targets for CXCR4 antagonists, such as AMD-3100, and CCR2 or CCR5 (maraviroc). Additionally, drugs that activate the CX3CL1/CX3CR1 signaling pathway can prevent neurodegeneration and reduce microglia overactivation [144]. In an AD transgenic model, brain-infiltrating CD8+ T cells impair the transition of microglia into AD-associated states and suppress amyloid clearance via CCL5-CCR5 signaling. Interestingly, pharmacological blockade of CCL5 attenuates amyloid deposition, but CCL5 administration exacerbates AD pathology [85].
A recent study suggests that chemokine antagonists or genetic intervention may have a therapeutic value in modulating chemokine signalling. For instance, in a 3D in vitro human neuroimmune model, treatment with MAB160 (an anti-CXCR3-neutralizing antibody) resulted in a dose-dependent pattern of T-cell attraction by CXCL10 [143]. Thus, blocking T-cell trafficking and infiltration with a chemokine blocker may reduce brain infiltration mediated by the CXCL10-CXCR3 and the CXCL16-CXCR6 axes, which stabilize the BBB. At later stages of AD, inhibiting IFN-γ signalling may mitigate CD8+ T-cell-mediated neuronal damage. Blocking of the IFN pathway can exert protective or immunoregulatory roles in T cells [143].

7.3. Cobrotoxin (CTX) for AD Treatment

Recent studies indicate that CTX is a potent modulator that regulates neuroimmune signalling and mitigates neuroinflammation and synaptic dysfunction in a 5xFAD transgenic AD rodent model. This study observed reduced brain-infiltrated CD8+ T cells and downregulation of Cxcl9, Cxcl10, and Cxcl16 chemokine expression after nine weeks of CTX administration. These results suggest that CTX modulates T-cell–microglia communication. In conclusion, CTX, a short-chain neurotoxin derived from Naja atra venom, attenuates microglial activation and decreases pro-inflammatory cytokine release while preserving plaque-associated disease-associated microglia (DAM) markers [150].

7.4. Treg Cell Activation

In AD, the immunomodulatory mechanisms of regulatory T cells (Tregs) are compromised, shifting the immune system toward an anti-inflammatory response. Recent studies have examined Tregs as potential neuroprotective agents against neuroinflammation in AD. One such study confirmed the safety and efficacy of a low dose of interleukin-2 (IL-2) in expanding Tregs to prevent AD progression without adverse effects (NCT06096090). In this randomized, double-blind, phase 2a study, 38 AD patients received a subcutaneous IL-2 (106 IU/day) for five days. Results were compared with those of a placebo group. IL-2 was administered either every 4 weeks or every 2 weeks, for 21 weeks, followed by 9 weeks of observation. The results confirmed that IL-2 doses increased the percentage of Treg and decreased CCL2, CCL11, and IL-15 chemokine levels while increasing IL-4 and CCL13 levels. Furthermore, there was a significant reduction in CSF Aβ42 levels compared to the placebo group [135]. Treatment with low IL-2 concentration can restore Treg function and reduce Aβ accumulation, both of which are often impaired in AD patients [151]. Finally, Treg-derived extracellular vesicles can exert neuroprotective effects and reduce inflammation (IL-6, IL-2, and IFN-γ) in effector T cells through multiple mechanisms in target cells [88]. Additionally, advanced CAR-Treg therapies are being explored to prevent the formation of protein aggregates in the AD model brains [133].

7.5. The C3 Complement Strategy for Preventing AD Progression

Complement proteins play a role in neuroinflammatory responses in AD models. For instance, the C3 factor increases the Abeta Aβ clearance by microglia in the neurons of C3-deficient APP-transgenic AD mice [152]. In fact, infusion of the C3a receptor antagonist induces apathy-like behavior and increases immune-related gene expression in 16-month-old 5xFAD mice [153]. Therefore, targeting complement pathways may be a novel therapeutic strategy for alleviating apathy in AD pathology [154].

7.6. Valacyclovir

This anti-inflammatory and neuroprotective drug can increase clearance of Aβ and p-Tau in the brain [155].

7.7. Photobiomodulation (PBM)-Based Strategies for Preventing Excessive T-Cell Migration in the AD Brain

PBM transforms photons absorbed by cellular chromophores into photochemical energy, which can mediate biological effects. This leads to changes in intracellular calcium concentrations that contribute to neuronal function [155,156,157]. Several studies using LEDs and lasers in the red to near-infrared (NIR) spectrum have demonstrated the therapeutic potential of PBM against chronic neuroinflammatory processes, mitochondrial dysfunction, and cerebral hypometabolism. PBM can also prevent the overproduction of reactive oxygen species (ROS). In APP/PS1 AD transgenic mice, 6 weeks of non-invasive PBM treatment activates mitochondria energy metabolism and promotes the anti-inflammatory effects of microglia, enhancing Aβ clearance and ameliorating cognitive dysfunction [158]. PBM activates cellular processes by stimulating complex IV of the electron transport chain, which is mediated by cytochrome c oxidase. Under stressful and neuroinflammatory conditions, nitric oxide (NO) levels increase. This can inhibit cellular respiration and reduce ATP production [156,159,160,161]. In fact, PBM using wavelengths in the NIR range, as an adjunct to other treatments, has demonstrated modulatory effects on brain metabolic function, promoting neurogenesis and synaptogenesis. Furthermore, PBM provides neuroprotection by activating anti-inflammatory and antioxidant signalling pathways during brain-directed PBM and LED-based therapies [141,145,146,147,156,161,162,163]. Conversely, the systemic peptide GHK-Cu binds and transports copper to sites of inflammation for tissue repair [164]. GHK-Cu enhances copper bioavailability, enabling cells to synthesize antioxidant enzymes, such as superoxide dismutase (SOD), which helps combat oxidative stress [160,162,164,165]. Additionally, PBM can also modulate transcription factors, such as NF-κB and other signalling mediators. The beneficial effects depend on exposure time, the tissue’s basal redox state, mitochondrial density (particularly high in brain tissue), tissue depth, and wavelength. These factors collectively influence the therapeutic window [113,155,157,160,166]. Furthermore, the photonic influence as a systemic messenger and biological accelerator is a new perspective being investigated as remote photobiomodulation (PBM) that could exert various biological effects. These effects include improving mitochondrial energy metabolism, inhibiting glycolysis, improving mitophagy, mitigating dysbiosis, reducing neuroinflammation by activated glial cells, promoting oxidative phosphorylation, increasing cerebral perfusion, modulating the immune system, and regulating the gut microbiome through myokines [158,162].
Prospects in neurolymphophotonics offer promising opportunities for developing novel therapeutic technologies [142]. Evaluating the role of PBM in the immune system may prevent the progression of AD through various delivery approaches, including transcranial, intracranial, intranasal, oral, and auditory routes [155,166,167]. Therefore, investigating the effects of laser-based therapies on the immune system is a preventive strategy that promotes Aβ clearance via the glymphatic and lymphatic systems through neurolymphophotonics. This process may be enhanced during sleep [155,157,162,163,166,167,168]. Furthermore, sleep disorders are increasingly recognized as potential risk factors for cognitive decline, accelerating neuroinflammatory processes [169]. It has been hypothesized that laser technology may improve snoring by modulating the tone and tensile properties of collagen within the oropharynx and adjacent tissues through photon-mediated activity by PBM [162,170]. PBM also modulates systemic inflammation, reducing pro-inflammatory cytokines and affecting the BBB, immune microenvironment, and T-cell migration [157,160,162,165].
Six weeks of non-invasive PBM in APP/PS1 mice increased mitochondrial energy metabolism and enhanced Aβ clearance by microglia. This prevents cognitive decline by polarizing M1 toward an anti-inflammatory M2 phenotype [171]. PBM devices are readily available and represent a safe technology capable of inducing neuroprotective and anti-inflammatory effects in AD. Pioneering studies have highlighted the use of PBM to enhance brain drainage and facilitate Aβ clearance via meningeal lymphatic vessels, thereby improving cognitive impairment in AD [168]. In a recent nonpharmacological clinical trial (KCT0011155) involving 80 patients with AD, the transcranial PBM (tPBM) technique improved mitochondrial metabolism, cerebral perfusion, and synaptic efficiency. Patients self-administered a tPBM device emitting 808 nm near-infrared light over the bilateral dorsolateral prefrontal cortex (six times per week) for 12 weeks and reported beneficial effects in AD. The results demonstrated that 12 weeks of tPBM treatment was safe and significantly improved cognitive function in AD patients [170,171].

8. Conclusions and Future Perspectives

This review studies the role of innate and adaptive immune systems in AD neuropathology. These systems contribute to neurodegeneration in AD models and patients. Chemokines mediate the recruitment of peripheral infiltrates (e.g., monocytes, T and B lymphocytes) into the brain parenchyma and regulate crosstalk between T cells, neurons, and microglia in AD models. Thus, understanding how chemokines drive neuroinflammation could help to develop drugs that target T-cell infiltration into the brain parenchyma of AD models. In fact, CD4+ and CD8+ T-cell infiltration increases the deposition of Aβ plaques and tau tangles in a chemokine-dependent manner. CXCR6 and CXCR3 signaling orchestrates the recruitment of CD8+ T cells into the brain and limits mouse AD pathology. Several chemokines, such as CXCR6-CXCL16 and CXCR3/CXCL10, are potential targets for drugs against AD. Conversely, depleting CD8+ T cells and activating Treg cells could induce neuroprotective effects in AD models.
Together, T cells play dual protective and detrimental roles in the brains of rodent AD models. Finally, a pharmacological approach, such as chemokine antagonist treatment, requires more clinical evidence in AD patients. Complementary and emergent strategies, such as PBM, are other future strategies for treating AD in patients.

Author Contributions

Conceptualization, J.J.M., X.B., A.T.G., A.I.F. and J.J.R.-A.; validation I.Á.-V., A.I.F. and M.E.C.-M.; writing: J.J.M., X.B., J.J.R.-A., A.I.F., A.T.G. and M.E.C.-M. supervision, J.J.M. and A.T.G. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the “Ramon and Cajal Research Program”, Spanish Ministry of Science, Innovation and Universities to J.J. Merino (principal researcher: IP) of the project “RYC-2006-002658”: “Papel de las Quimioquinas, de la Eritropoyetina (EPO) y de las Células Madre como Moléculas Reparadoras del Daño Neural Inducido por la Glicoproteína gp120 del HIV-1 en el Hipocampo de Rata In Vitro e In Vivo: Alteraciones Conductuales Inducidas por la gp”.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable.

Conflicts of Interest

All authors, specially including Cabaña-Muñoz declare that this employment did not influence the design, analysis, or reporting of this study, and there are no other potential conflicts of interest relevant to this article.

Abbreviations

Abeta 42Amyloid-beta 42 protein
ADAlzheimer’s disease
APCAntigen-presenting cell
APP/PS1 transgenic miceAlzheimer animal model that coexpress two mutated human genes as Amyloid Precursor Protein (APP) and Presenilin 1 (PS1)
ATPAdenosine Triphosphate
BBBBlood–brain barrier
CCL2 = MCP-1Monocyte chemoattractant protein-1
CCL3Chemokine Ligand 3, also known as Macrophage Inflammatory Pro
CCL5 = RANTESRegulated on activation, normal T-cell expressed and secreted cells
GHK-CuCopper tripeptide
CSFCerebrospinal fluid
DAMActivated, dysfunctional “disease-associated microglia”
DAMPDisease-associated metabolic profile
GFAPGlial fibrillary acidic protein
ICAM-1Intercellular adhesion molecule-1
IGSsInterferon-stimulated genes
IL-1βInterleukin-1β
LEDLight-Emitting Diode
LFA-1Leucocyte function-associated antigen
LTPLong-term potentiation
MCIMild cognitive impairment
MHCMajor histocompatibility antigen
MMPsMetalloproteases
NflNeurophilament M
NF-κBNuclear factor kappa-light-chain-enhancer of activated B cells
NGAL/LNC-2/Lipocalin-2Neutrophil gelatinase-associated lipocalin
NIRInfrared near range
NKNatural Killer
NLRP3Inflammasome
PBMPhotobiomodulation
PVMsPerivascular macrophages
ROSReactive oxygen species
SODSuperoxide dismutase
TregsRegulatory T cells
TCRT-cell-receptor cross-recognition
TEMRA CD45RA cellsEffector Memory T cells re-expressing CD45RA
TEMRA CD8 cellsTerminally Differentiated Effector Memory CD8 cells
TNF alphaTumor necrosis factor alpha
tPBMTranscranial photobiomodulation
VCAM-1Vascular cell adhesion molecule 1
ZO-1Zonula occludens-1

References

  1. Rivest, S. Regulation of innate immune responses in the brain. Nat. Rev. Immunol. 2009, 9, 429–439. [Google Scholar] [CrossRef]
  2. Rogers, J.; Strohmeyer, R.; Kovelowski, C.J.; Li, R. Microglia and inflammatory mechanisms in the clearance of amyloid beta peptide. Glia 2002, 40, 260–269. [Google Scholar] [CrossRef]
  3. Rogers, J.; Lue, L.F. Microglial chemotaxis, activation, and phagocytosis of amyloid beta-peptide as linked phenomena in Alzheimer’s disease. Neurochem. Int. 2001, 39, 333–340. [Google Scholar] [CrossRef]
  4. Li, X.; Li, Z.; Chen, H.; Guo, H.; Ge, Y.; Dong, F.; Zhang, F.; Zhang, F. Unraveling APOE4: The dual role in CNS and peripheral inflammation in Alzheimer’s disease. Int. Immunopharmacol. 2025, 163, 115199. [Google Scholar] [CrossRef]
  5. Heneka, M.T.; van der Flier, W.M.; Jessen, F.; Hoozemanns, J.; Thal, D.R.; Boche, D.; Brosseron, F.; Teunissen, C.; Zetterberg, H.; Jacobs, A.H.; et al. Neuroinflammation in Alzheimer disease. Nat. Rev. Immunol. 2025, 25, 321–352. [Google Scholar] [CrossRef]
  6. Vida, H.; Sahar, M.; Nikdouz, A.; Arezoo, H. Chemokines in neurodegenerative diseases. Immunol. Cell Biol. 2025, 103, 275–292. [Google Scholar] [CrossRef] [PubMed]
  7. Domingues, C.; da Cruz, E.; Silva, O.A.B.; Henriques, A.G. Impact of Cytokines and Chemokines on Alzheimer’s Disease Neuropathological Hallmarks. Curr. Alzheimer Res. 2017, 14, 870–882. [Google Scholar] [CrossRef]
  8. Valerio, R.R.; Santos, Á.R.; Nóbrega, A.H.L.; Martins, R.; De Felice, F.G.; Ferreira, S.T.; Savino, W.; Bonomo, A.; Bernardi, A.; Frozza, R.L. Innate Immune Tolerance Regulates Microglia Response to Aβ Oligomers. J. Neurochem. 2026, 170, e70341. [Google Scholar] [CrossRef] [PubMed]
  9. Ana, B. Aged-Related Changes in Microglia and Neurodegenerative Diseases: Exploring the Connection. Biomedicines 2024, 12, 1737. [Google Scholar] [CrossRef]
  10. McGroarty, J.; Salinas, S.; Evans, H.; Jimenez, B.; Tran, V.; Kadavakollu, S.; Vashist, A.; Atluri, V. Inflammasome-Mediated Neuroinflammation: A Key Driver in Alzheimer’s Disease Pathogenesis. Biomolecules 2025, 15, 676. [Google Scholar] [CrossRef] [PubMed]
  11. Bettcher, B.M.; Tansey, M.G.; Dorothee, G.; Heneka, M.T. Peripheral and central immune system crosstalk in Alzheimer disease—A research prospectus. Nat. Rev. Neurol. 2021, 17, 689–701. [Google Scholar] [CrossRef]
  12. Zhang, Q.; Yang, G.; Luo, Y.; Jiang, L.; Chi, H.; Tian, G. Neuroinflammation in Alzheimer’s disease: Insights from peripheral immune cells. Immun. Ageing 2024, 21, 38. [Google Scholar] [CrossRef]
  13. Azmal, M.; Paul, J.K.; Prima, F.S.; Haque, A.N.M.S.N.B.; Meem, M.; Ghosh, A. Microglial dysfunction in Alzheimer’s disease: Mechanisms, emerging therapies, and future directions. Exp. Neurol. 2025, 392, 115374. [Google Scholar] [CrossRef]
  14. Bai, H.; Zhang, Q. Activation of NLRP3 Inflammasome and Onset of Alzheimer’s Disease. Front. Immunol. 2021, 12, 701282. [Google Scholar] [CrossRef] [PubMed]
  15. Xu, B.; Tang, C.; Han, R.; Zhu, C.; Yang, Y.; Li, H.; Wu, N.; He, D. Targeting the chemokine-microglia nexus: A novel strategy for modulating neuroinflammation in Alzheimer’s disease. J. Alzheimer’s Dis. Rep. 2025, 9, 25424823251326044. [Google Scholar] [CrossRef] [PubMed]
  16. Marsh, S.E.; Abud, E.M.; Lakatos, A.; Karimzadeh, A.; Yeung, S.T.; Davtyan, H.; Fote, G.M.; Lau, L.; Weinger, J.G.; Lane, T.E.; et al. The adaptive immune system restrains Alzheimer’s disease pathogenesis by modulating microglial function. Proc. Natl. Acad. Sci. USA 2016, 113, E1316–E1325. [Google Scholar] [CrossRef] [PubMed]
  17. Leng, F.; Edison, P. Neuroinflammation and microglial activation in Alzheimer disease: Where do we go from here? Nat. Rev. Neurol. 2021, 17, 157–172. [Google Scholar] [CrossRef]
  18. Jorfi, M.; Park, J.; Hall, C.K.; Lin, C.J.; Chen, M.; von Maydell, D.; Kruskop, J.M.; Kang, B.; Choi, Y.; Prokopenko, D.; et al. Infiltrating CD8+ T cells exacerbate Alzheimer’s disease pathology in a 3D human neuroimmune axis model. Nat. Neurosci. 2023, 26, 1489–1504. [Google Scholar] [CrossRef]
  19. Dulken, B.W.; Buckley, M.T.; Navarro Negredo, P.; Saligrama, N.; Cayrol, R.; Leeman, D.S.; George, B.M.; Boutet, S.C.; Hebestreit, K.; Pluvinage, J.V.; et al. Single-cell analysis reveals T cell infiltration in old neurogenic niches. Nature 2019, 571, 205–210. [Google Scholar] [CrossRef]
  20. Dai, L.; Shen, Y. Insights into T-cell dysfunction in Alzheimer’s disease. Aging Cell 2021, 20, e13511. [Google Scholar] [CrossRef]
  21. Gate, D.; Saligrama, N.; Leventhal, O.; Yang, A.C.; Unger, M.S.; Middeldorp, J.; Chen, K.; Lehallier, B.; Channappa, D.; De Los Santos, M.B.; et al. Clonally Expanded CD8 T Cells Patrol the Cerebrospinal Fluid in Alzheimer’s Disease. Nature 2020, 577, 399–404. [Google Scholar] [CrossRef]
  22. Chen, H.; Li, N.; Liu, N.; Zhu, H.; Ma, C.; Ye, Y.; Shi, X.; Luo, G.; Dong, X.; Tan, T.; et al. Photobiomodulation modulates mitochondrial energy metabolism and ameliorates neurological damage in an APP/PS1 mouse model of Alzheimer’s disease. Alzheimer’s Res. Ther. 2025, 5, 17–72. [Google Scholar] [CrossRef]
  23. Millet, A.; Ledo, J.H.; Tavazoie, S.F. An exhausted-like microglial population accumulates in aged and APOE4 genotype Alzheimer’s brains. Immunity 2024, 57, 153–170.e6. [Google Scholar] [CrossRef]
  24. Yu, J.; Li, F.; Chen, X.J.; Mou, C.; Yao, D.; Bi, Z.; Chen, X.; Du, L.; Feng, Z.; Zhang, X.; et al. Characterizing the metabolomes of microglia, astrocytes and neurons in ageing and Alzheimer’s brains. Nat. Cell Biol. 2026, 28, 1031–1048. [Google Scholar] [CrossRef] [PubMed]
  25. Merino, J.J.; Muñetón-Gómez, V.; Alvárez, M.I.; Toledano-Díaz, A. Effects of CX3CR1 and Fractalkine Chemokines in Amyloid Beta Clearance and p-Tau Accumulation in Alzheimer’s Disease (AD) Rodent Models: Is Fractalkine a Systemic Biomarker for AD? Curr. Alzheimer Res. 2016, 13, 403–412. [Google Scholar] [CrossRef]
  26. Simard, A.R.; Soulet, D.; Gowing, G.; Julien, J.P.; Rivest, S. Bone marrow-derived microglia play a critical role in restricting senile plaque formation in Alzheimer’s disease. Neuron 2006, 49, 489–502. [Google Scholar] [CrossRef] [PubMed]
  27. Chen, T.; Dai, Y.; Hu, C.; Lin, Z.; Wang, S.; Yang, J.; Zeng, L.; Li, S.; Li, W. Cellular and molecular mechanisms of the blood-brain barrier dysfunction in neurodegenerative diseases. Fluids Barriers CNS 2024, 21, 60. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
  28. Constantin, G. Chemokine signaling and integrin activation in lymphocyte migration into the inflamed brain. J. Neuroimmunol. 2008, 198, 20–26. [Google Scholar] [CrossRef] [PubMed]
  29. van den Brink, H.; Voigt, S.; Kozberg, M.; van Etten, E.S. The role of neuroinflammation in cerebral amyloid an-giopathy. eBioMedicine 2024, 110, 105466. [Google Scholar] [CrossRef]
  30. Hawkes, C.A.; McLaurin, J. Selective targeting of perivascular macrophages for clearance of beta-amyloid in cerebral amyloid angiopathy. Proc. Natl. Acad. Sci. USA 2009, 27, 1261–1266. [Google Scholar] [CrossRef]
  31. Jay, T.; Lamb, B.; Landreth, G. Peripheral macrophages not ADept at amyloid clearance. J. Exp. Med. 2015, 212, 1758. [Google Scholar] [CrossRef]
  32. Kierdorf, K.; Katzmarski, N.; Haas, C.A.; Prinz, M. Bone marrow cell recruitment to the brain in the absence of irradiation or parabiosis bias. PLoS ONE 2013, 8, e58544. [Google Scholar] [CrossRef]
  33. Stankey, C.T.; Bourges, C.; Haag, L.M.; Turner-Stokes, T.; Piedade, A.P.; Palmer-Jones, C.; Papa, I.; Silva Dos Santos, M.; Zhang, Q.; Cameron, A.J.; et al. A disease-associated gene desert directs macrophage inflammation through ETS2. Nature 2024, 630, 447–456. [Google Scholar] [CrossRef]
  34. Nie, W.; Yue, Y.; Hu, J. The role of monocytes and macrophages in the progression of Alzheimer’s disease. Front. Immunol. 2025, 16, 1590909. [Google Scholar] [CrossRef]
  35. Liu, C.; Cui, G.; Zhu, M.; Kang, X.; Guo, H. Neuroinflammation in Alzheimer’s disease: Chemokines produced by astrocytes and chemokine receptors. Int. J. Clin. Exp. Pathol. 2014, 7, 8342–8355. [Google Scholar]
  36. Xie, C.; Aman, Y.; Adriaanse, B.A.; Cader, M.Z.; Plun-Favreau, H.; Xiao, J.; Fang, E.F. Culprit or Bystander: Defective Mitophagy in Alzheimer’s Disease. Front. Cell Dev. Biol. 2020, 7, 391. [Google Scholar] [CrossRef] [PubMed]
  37. Gu, B.J.; Huang, X.; Ou, A.; Rembach, A.; Fowler, C.; Avula, P.K.; Horton, A.; Doecke, J.D.; Villemagne, V.L.; Macaulay, S.L.; et al. Innate phagocytosis by peripheral blood monocytes is altered in Alzheimer’s disease. Acta Neuropathol. 2016, 132, 377–389. [Google Scholar] [CrossRef] [PubMed]
  38. Song, Y.; Shu, S.; Zeng, X.; Xia, M.; Liu, J.; Li, L. Microglial Innate Immune Memory: Implications and Research Advances in Central Nervous System Disorders. Curr. Issues Mol. Biol. 2026, 48, 426. [Google Scholar] [CrossRef] [PubMed]
  39. Fiala, M.; Zhang, L.; Gan, X.; Sherry, B.; Taub, D.; Graves, M.C.; Hama, S.; Way, D.; Weinand, M.; Witte, M.; et al. Amyloid-beta induces chemokine secretion and monocyte migration across a human blood-brain barrier model. Mol. Med. 1998, 4, 480–489. [Google Scholar] [CrossRef]
  40. Foley, K.E.; Weekman, E.M.; Wilcock, D.M. Acute anti-Aβ antibody exposure induces microglial changes and significantly alters chemokine signaling. Alzheimer’s Dement. 2026, 12, 70201. [Google Scholar] [CrossRef]
  41. Sun, H.L.; Zhou, F.Y.; Chen, D.W.; Tan, C.R.; Zeng, G.H.; Liu, Y.H.; Wang, J.; Bu, X.L.; Wang, Y.J.; Li, H.Y.; et al. The Correlation of Tau Levels with Blood Monocyte Count in Patients with Alzheimer’s Disease. J. Alzheimer’s Dis. JAD 2022, 85, 1321–1328. [Google Scholar] [CrossRef]
  42. Barrett, J.P.; Costello, D.A.; O’Sullivan, J.; Cowley, T.R.; Lynch, M.A. Bone marrow-derived macrophages from aged rats are more responsive to inflammatory stimuli. J. Neuroinflamm. 2015, 9, 12–67. [Google Scholar] [CrossRef]
  43. Tian, C.; Ao, Z.; Cerneckis, J.; Cai, H.; Chen, L.; Niu, H.; Takayama, K.; Kim, J.; Shi, Y.; Gu, M.; et al. Understanding monocyte-driven neuroinflammation in Alzheimer’s disease using human cortical organoid microphysiological systems. Sci. Adv. 2025, 22, 2708. [Google Scholar] [CrossRef]
  44. Kays, M.; Kelly, A.; McGinnis, F.; Woods, C.; Herron, E.; Brown, C.; Coulibaly, A.P. Neutrophils from Alzheimer’s disease mice fail to phagocytose debris and show altered release of immune modulators with age. Front. Immunol. 2025, 20, 1672768. [Google Scholar] [CrossRef]
  45. Doroszkiewicz, J.; Kulczynska-Przybik, A.; Borawska, R.; Mroczko, J.; Slowik, A.; Mroczko, B. The cerebrospinal fluid Neutrophil gelatinase-associated lipocalin (NGAL) concentration in Alzheimer’s Disease (AD). Alzheimer’s Dement. 2025, 20, e088677. [Google Scholar] [CrossRef]
  46. Zhang, Q.N.; Yu, L.K.; Zhang, X.Y.; Wu, Y.; Zhang, H.; Wu, J.L.; Yao, Z.H. Alzheimer’s Disease Neuroimaging Initiative. LCN2 of cerebrospinal fluid: A potential biomarker for diagnosis and disease progression in Alzheimer’s disease. J. Alzheimer’s Dis. 2025, 106, 1573–1581. [Google Scholar] [CrossRef] [PubMed]
  47. Hermann, P.; Villar-Piqué, A.; Schmitz, M.; Schmidt, C.; Varges, D.; Goebel, S.; Bunck, T.; Lindemann, H.; Bogner, C.; Santana, I.; et al. Plasma Lipocalin 2 in Alzheimer’s disease: Potential utility in the differential diagnosis and relationship with other biomarkers. Alzheimer’s Res. Ther. 2022, 13, 9. [Google Scholar] [CrossRef]
  48. Zuo, X.; Kuang, X.; Zhao, Y.; Tuo, J.; Bai, H.; Zhao, Q.; Zhao, X.; Feng, X. 17β-Trenbolone Increases the Release of Lipocalin 2 via the Brain-Liver Axis and Causes Alzheimer’s Disease-Like Symptoms in CSDS-Induced Mice. Mol. Neurobiol. 2025, 62, 13958–13974. [Google Scholar] [CrossRef] [PubMed]
  49. Custodia, A.; Aramburu-Núñez, M.; Rodríguez-Arrizabalaga, M.; Pías-Peleteiro, J.M.; Vázquez-Vázquez, L.; Camino-Castiñeiras, J.; Aldrey, J.M.; Castillo, J.; Ouro, A.; Sobrino, T.; et al. Biomarkers Assessing Endothelial Dysfunction in Alzheimer’s Disease. Cells 2023, 12, 962. [Google Scholar] [CrossRef]
  50. Gericke, C.; Mallone, A.; Engelhardt, B.; Nitsch, R.M.; Ferretti, M.T. Oligomeric Forms of Human Amyloid-Beta (1-42) Inhibit Antigen Presentation. Front. Immunol. 2020, 5, 1029. [Google Scholar] [CrossRef]
  51. Ciaramella, A.; Sanarico, N.; Bizzoni, F.; Moro, M.L.; Salani, F.; Scapigliati, G.; Spalletta, G.; Caltagirone, C.; Bossù, P. Amyloid beta peptide promotes differentiation of pro-inflammatory human myeloid dendritic cells. Neurobiol. Aging 2009, 30, 210–221. [Google Scholar] [CrossRef]
  52. Azzaoui, I.; Yahia, S.A.; Chang, Y.; Vorng, H.; Morales, O.; Fan, Y.; Delhem, N.; Ple, C.; Tonnel, A.B.; Wallaert, B.; et al. CCL18 differentiates dendritic cells in tolerogenic cells able to prime regulatory T cells in healthy subjects. Blood 2011, 29, 3549–3558. [Google Scholar] [CrossRef]
  53. Hickman, S.E.; El Khoury, J. Mechanisms of mononuclear phagocyte recruitment in Alzheimer’s disease. CNS Neurol. Disord. Drug Targets 2010, 9, 168–173. [Google Scholar] [CrossRef]
  54. El Khoury, J.; Toft, M.; Hickman, S.E.; Means, T.K.; Terada, K.; Geula, C.; Luster, A.D. Ccr2 deficiency impairs microglial accumulation and accelerates progression of Alzheimer-like disease. Nat. Med. 2007, 13, 432–438. [Google Scholar] [CrossRef]
  55. Naert, G.; Rivest, S. CC chemokine receptor 2 deficiency aggravates cognitive impairments and amyloid pathology in a transgenic mouse model of Alzheimer’s disease. J. Neurosci. 2011, 31, 6208–6220. [Google Scholar] [CrossRef] [PubMed]
  56. Bakshi, P.; Margenthaler, E.; Reed, J.; Crawford, F.; Mullan, M. Depletion of CXCR2 inhibits gamma-secretase activity and amyloid-beta production in a murine model of Alzheimer’s disease. Cytokine 2011, 53, 163–169. [Google Scholar] [CrossRef]
  57. Jorda, A.; Alvarez-Gamez, K.; Campo-Palacio, I.; Campos-Campos, J.; Colmena, C.; Singh, S.K.; Miralles, M.J.C.; Aldasoro, C.; Aldasoro, M.; Valles, S.L. Inflammatory Mediators of Alzheimer’s Disease Characterized in a Mouse Model (APP/PS1). NeuroSci 2026, 7, 23. [Google Scholar] [CrossRef]
  58. Jorda, A.; Cauli, O.; Santonja, J.M.; Aldasoro, M.; Aldasoro, C.; Obrador, E.; Vila, J.M.; Mauricio, M.D.; Iradi, A.; Guerra-Ojeda, S.; et al. Changes in Chemokines and Chemokine Receptors Expression in a Mouse Model of Alzheimer’s Disease. Int. J. Biol. Sci. 2019, 15, 453–463. [Google Scholar] [CrossRef]
  59. Takata, K.; Amamiya, T.; Mizoguchi, H.; Kawanishi, S.; Kuroda, E.; Kitamura, R.; Ito, A.; Saito, Y.; Tawa, M.; Nagasawa, T. Alpha7 nicotinic acetylcholine receptor-specific agonist DMXBA (GTS-21) attenuates Aβ accumulation through suppression of neuronal γ-secretase activity and promotion of microglial amyloid-β phagocytosis and ameliorates cognitive impairment in a mouse model of Alzheimer’s disease. Neurobiol. Aging 2018, 62, 197–209. [Google Scholar]
  60. Hwang, C.J.; Park, M.H.; Hwang, J.Y.; Kim, J.H.; Yun, N.Y.; Oh, S.Y.; Song, J.K.; Seo, H.O.; Kim, Y.B.; Hwang, D.Y.; et al. CCR5 deficiency accelerates lipopolysaccharide-induced astrogliosis, amyloid-beta deposit and impaired memory function. Oncotarget 2016, 7, 11984–11999. [Google Scholar] [CrossRef]
  61. Lee, S.; Varvel, N.H.; Konerth, M.E.; Xu, G.; Cardona, A.E.; Ransohoff, R.M.; Lamb, B.T. CX3CR1 deficiency alters microglial activation and reduces beta-amyloid deposition in two Alzheimer’s disease mouse models. Am. J. Pathol. 2010, 177, 2549–2562. [Google Scholar] [CrossRef] [PubMed]
  62. Liu, Z.; Condello, C.; Schain, A.; Harb, R.; Grutzendler, J. CX3CR1 in microglia regulates brain amyloid deposition through selective protofibrillar amyloid-β phagocytosis. J. Neurosci. Off. J. Soc. Neurosci. 2010, 30, 17091–17101. [Google Scholar] [CrossRef]
  63. Xia, M.Q.; Qin, S.; Wu, L.; Mackay, C.R.; Hyman, B.T. Immunohistochemical study of the β-chemokine receptors CCR3 and CCR5 and their ligands in normal and Alzheimer’s disease brains. Am. J. Pathol. 1998, 153, 31–37. [Google Scholar] [CrossRef] [PubMed]
  64. Lee, Y.K.; Kwak, D.H.; Oh, K.W.; Nam, S.Y.; Lee, B.J.; Yun, Y.W.; Kim, Y.B.; Han, S.B.; Hong, J.T. CCR5 deficiency induces astrocyte activation, Abeta deposit and impaired memory function. Neurobiol. Learn. Mem. 2009, 92, 356–363. [Google Scholar] [CrossRef]
  65. Krauthausen, M.; Kummer, M.P.; Zimmermann, J.; Reyes-Irisarri, E.; Terwel, D.; Bulic, B.; Heneka, M.T.; Müller, M. CXCR3 promotes plaque formation and behavioral deficits in an Alzheimer’s disease model. J. Clin. Investig. 2015, 125, 365–378. [Google Scholar] [CrossRef]
  66. Guedes, J.R.; Lao, T.; Cardoso, A.L.; El Khoury, J. Roles of Microglial and Monocyte Chemokines and Their Receptors in Regulating Alzheimer’s Disease-Associated Amyloid-β and Tau Pathologies. Front. Neurol. 2018, 9, 549. [Google Scholar] [CrossRef]
  67. Da Mesquita, S.; Herz, J.; Wall, M.; Dykstra, T.; de Lima, K.A.; Norris, G.T.; Dabhi, N.; Kennedy, T.; Baker, W.; Kipnis, J. Aging-associated deficit in CCR7 is linked to worsened glymphatic function, cognition, neuroinflammation, and β-amyloid pathology. Sci. Adv. 2021, 7, eabe4601. [Google Scholar] [CrossRef] [PubMed]
  68. Shabbir, U.; Arshad, M.S.; Sameen, A.; Oh, D.H. Crosstalk between Gut and Brain in Alzheimer’s Disease: The Role of Gut Microbiota Modulation Strategies. Nutrients 2021, 13, 690. [Google Scholar] [CrossRef]
  69. Makhijani, P.; Valentino, T.R.; Manwaring-Mueller, M.; Emani, R.; Mu, W.C.; Aguirre, C.G.; Tan, C.R.; Rane, A.; Wilson, K.A.; Kifle, A.; et al. Amyloid-β-driven Alzheimer’s disease reshapes the colonic immune system in mice. Cell Rep. 2025, 44, 116109. [Google Scholar] [CrossRef] [PubMed]
  70. Abbaoui, A.; Fatoba, O.; Yamashita, T. Meningeal T cells function in the central nervous system homeostasis and neurodegenerative diseases. Front. Cell. Neurosci. 2023, 17, 1181071. [Google Scholar] [CrossRef]
  71. Winford, E.; Lutshumba, J.; Martin, B.J.; Wilcock, D.M.; Jicha, G.A.; Nikolajczyk, B.S.; Stowe, A.M.; Bachstetter, A.D. Terminally differentiated effector memory T cells associate with cognitive and AD-related biomarkers in an aging-based community cohort. Immun. Ageing 2024, 21, 36. [Google Scholar] [CrossRef]
  72. von Andrian, U.H.; Mackay, C.R. T-cell function and migration. Two sides of the same coin. N. Engl. J. Med. 2000, 343, 1020–1034. [Google Scholar] [CrossRef] [PubMed]
  73. Meibers, H.E.; Warrick, K.A.; VonHandorf, A.; Vallez, C.N.; Kawarizadeh, K.; Saha, I.; Donmez, O.; Jain, V.G.; Kottyan, L.C.; Weirauch, M.T.; et al. Effector memory T cells induce innate inflammation by triggering DNA damage and a non-canonical STING pathway in dendritic cells. Cell Rep. 2023, 42, 113180. [Google Scholar] [CrossRef] [PubMed]
  74. Peng, Y.; Yao, S.Y.; Wu, S.L.; Yang, H.; Zhang, X.; Kazuo, S.; Liu, J.; Du, M.Q.; Lin, L.X.; Kang, X.H.; et al. New Perspective: Bench to Bedside Evidence of the Role of CD8+ T Cells in Alzheimer’s Disease. Immun. Inflamm. Dis. 2026, 14, e70380. [Google Scholar] [CrossRef]
  75. Cao, Y.; Tang, K.; Ma, P.; Zhang, R.; Yang, Y.; Li, T.; Zhang, Y.; Peng, X. The role of peripheral innate immune cells in Alzheimer’s disease progression. Front. Immunol. 2025, 16, 1616939. [Google Scholar] [CrossRef]
  76. Piehl, N.; van Olst, L.; Ramakrishnan, A.; Teregulova, V.; Simonton, B.; Zhang, Z.; Tapp, E.; Channappa, D.; Oh, H.; Losada, P.M.; et al. Cerebrospinal fluid immune dysregulation during healthy brain aging and cognitive impairment. Cell 2022, 185, 5028–5039. [Google Scholar] [CrossRef]
  77. Elyaman, W.; Stern, L.J.; Jiang, N.; Dressman, D.; Bradley, P.; Klatzmann, D.; Bradshaw, E.M.; Farber, D.L.; Kent, S.C.; Chizari, S.; et al. Exploring the role of T cells in Alzheimer’s and other neurodegenerative diseases: Emerging therapeutic insights from the T Cells in the Brain symposium. Alzheimer’s Dement. 2025, 21, e14548. [Google Scholar] [CrossRef] [PubMed]
  78. Bosch, M.E.; Ulrich, J.D. Spilling the T: T cells in tauopathy mechanisms, disease progression, and therapeutic horizons. Mol. Neurodegener. Adv. 2026, 2, 14. [Google Scholar] [CrossRef]
  79. Kivisäkk, P.; Imitola, J.; Rasmussen, S.; Elyaman, W.; Zhu, B.; Ransohoff, R.M.; Khoury, S.J. Localizing central nervous system immune surveillance: Meningeal antigen-presenting cells activate T cells during experimental autoimmune encephalomyelitis. Ann. Neurol. 2009, 65, 457–469. [Google Scholar] [CrossRef]
  80. Zhihuan, W.; Furusawa-Nishii, E.; Miyake, S. Unique phenotypic and T cell receptor characteristics of CD8+ T cells accumulated in the brains of Alzheimer’s disease mice. Sci. Rep. 2026, 16, 12518. [Google Scholar] [CrossRef]
  81. Nakajima, H.; Fukuda, K.; Doi, Y.; Sugino, M.; Kimura, F.; Hanafusa, T.; Ikemoto, T.; Shimizu, A. Expression of TH1/TH2-related chemokine receptors on peripheral T cells and correlation with clinical disease activity in patients with multiple sclerosis. Eur. Neurol. 2004, 52, 162–168. [Google Scholar] [CrossRef]
  82. Hilligan, K.L.; Ronchese, F. Antigen presentation by dendritic cells and their instruction of CD4+ T helper cell responses. Cell Mol. Immunol. 2020, 17, 587–599. [Google Scholar] [CrossRef] [PubMed]
  83. Hobson, R.; Levy, S.H.S.; Singal, C.M.S.; Flaherty, D.; Xiao, H.; Ciener, B.; Reddy, H.; Zabinyakov, N.; Kim, C.Y.; Teich, A.F.; et al. Clonal CD8+ T cells populate the leptomeninges and coordinate with immune cells in human degenerative brain diseases. Nat. Immunol. 2026, 27, 323–335. [Google Scholar] [CrossRef]
  84. Sanmarco, L.M.; Wheeler, M.A.; Gutiérrez-Vázquez, C.; Polonio, C.M.; Linnerbauer, M.; Pinho-Ribeiro, F.A.; Li, Z.; Giovannoni, F.; Batterman, K.V.; Scalisi, G.; et al. Gut-licensed IFNγ+ NK cells drive LAMP1+TRAIL+ anti-inflammatory astrocytes. Nature 2021, 590, 473–479. [Google Scholar] [CrossRef]
  85. Ohyagi, M.; Ito, M.; Iizuka-Koga, M.; Mise-Omata, S.; Yoshimura, A. Stage-specific roles of clonally expanded CD8+ T cells in regulating amyloid pathology in Alzheimer’s disease models. Nat. Commun. 2025, 27, 9458. [Google Scholar] [CrossRef]
  86. Xu, R.; Song, W.; Zhang, X. Interleukin-6, CD8+ T cells, and Alzheimer’s disease: Unraveling neuroimmune crosstalk via genetic and mechanistic insights. Front. Aging Neurosci. 2026, 18, 1767927. [Google Scholar] [CrossRef] [PubMed]
  87. Fani Maleki, A.; Rivest, S. Innate Immune Cells: Monocytes, Monocyte-Derived Macrophages and Microglia as Therapeutic Targets for Alzheimer’s Disease and Multiple Sclerosis. Front. Cell. Neurosci. 2019, 13, 355. [Google Scholar] [CrossRef] [PubMed]
  88. Si, Y.; Zhang, Y.; Yang, Q. Aging induces T cells with distinct transcriptomic profiles and functions in brain- associated tissues. Front. Immunol. 2025, 16, 1619196. [Google Scholar] [CrossRef]
  89. Zeng, J.; Liao, Z.; Yang, H.; Wang, Q.; Wu, Z.; Hua, F.; Zhou, Z. T cell infiltration mediates neurodegeneration and cognitive decline in Alzheimer’s disease. Neurobiol. Dis. 2024, 193, 106461. [Google Scholar] [CrossRef]
  90. Ahn, Y.M.; Shin, M.K. Adaptive Immunity and Alzheimer’s Disease: Dual Roles in Neurodegeneration and Neuroprotection with Therapeutic Implications. Biomol. Ther. 2026, 34, 124–135. [Google Scholar] [CrossRef]
  91. Jenkins, E.C.; Velinov, M.T.; Ye, L.; Gu, H.; Li, S.; Jenkins, E.C., Jr.; Brooks, S.S.; Pang, D.; Devenny, D.A.; Zigman, W.B.; et al. Telomere Shortening in T Lymphocytes of Older Individuals With Down Syndrome and Dementia. Neurobiol. Aging 2006, 27, 941–945. [Google Scholar] [CrossRef]
  92. Panossian, L.A.; Porter, V.R.; Valenzuela, H.F.; Zhu, X.; Reback, E.; Masterman, D.; Cummings, J.L.; Effros, R.B. Telomere Shortening in T Cells Correlates with Alzheimer’s Disease Status. Neurobiol. Aging 2003, 24, 77–84. [Google Scholar] [CrossRef]
  93. Pellicanò, M.; Larbi, A.; Goldeck, D.; Colonna-Romano, G.; Buffa, S.; Bulati, M.; Rubino, G.; Iemolo, F.; Candore, G.; Caruso, C.; et al. Immune profiling of Alzheimer patients. J. Neuroimmunol. 2012, 242, 52–59. [Google Scholar] [CrossRef]
  94. Monsonego, A.; Zota, V.; Karni, A.; Krieger, J.I.; Bar-Or, A.; Bitan, G.; Budson, A.E.; Sperling, R.; Selkoe, D.J.; Weiner, H.L. Increased T cell reactivity to amyloid beta protein in older humans and patients with Alzheimer disease. J. Clin. Investig. 2003, 112, 415–422. [Google Scholar] [CrossRef]
  95. Yang, Q.; Qiu, Y.; Ni, J.; Li, H.; Qing, H. Deciphering T Cell Dynamics in Alzheimer’s Disease Pathogenesis: Insights and Implications. Curr. Neuropharmacol. 2025, 23, 1533–1550. [Google Scholar] [CrossRef] [PubMed]
  96. Gibbons, D.; Fleming, P.; Virasami, A.; Michel, M.L.; Sebire, N.J.; Costeloe, K.; Carr, R.; Klein, N.; Hayday, A. Interleukin-8 (CXCL8) production is a signatory T cell effector function of human newborn infants. Nat. Med. 2014, 20, 1206–1210. [Google Scholar] [CrossRef]
  97. Brigas, H.C.; Ribeiro, M.; Coelho, J.E.; Gomes, R.; Gomez-Murcia, V.; Carvalho, K.; Faivre, E.; Costa-Pereira, S.; Darrigues, J.; de Almeida, A.A.; et al. IL-17 triggers the onset of cognitive and synaptic deficits in early stages of Alzheimer’s disease. Cell Rep. 2021, 36, 109574. [Google Scholar] [CrossRef] [PubMed]
  98. Shi, Y.; Wei, B.; Li, L.; Wang, B.; Sun, M. Th17 cells and inflammation in neurological disorders: Possible mechanisms of action. Front. Immunol. 2022, 13, 932152. [Google Scholar] [CrossRef]
  99. Mount, M.P.; Lira, A.; Grimes, D.; Smith, P.D.; Faucher, S.; Slack, R.; Anisman, H.; Hayley, S.; Park, D.S. Involvement of interferon-gamma in microglial-mediated loss of dopaminergic neurons. J. Neurosci. Off. J. Soc. Neurosci. 2007, 27, 3328–3337. [Google Scholar] [CrossRef] [PubMed]
  100. Yeapuri, P.; Machhi, J.; Lu, Y.; Abdelmoaty, M.M.; Kadry, R.; Patel, M.; Bhattarai, S.; Lu, E.; Namminga, K.L.; Olson, K.E.; et al. Amyloid-β specific regulatory T cells attenuate Alzheimer’s disease pathobiology in APP/PS1 mice. Mol. Neurodegener. 2023, 18, 97. [Google Scholar] [CrossRef]
  101. Groh, J.; Feng, R.; Yuan, X.; Liu, L.; Klein, D.; Hutahaean, G.; Butz, E.; Wang, Z.; Steinbrecher, L.; Neher, J.; et al. Microglia activation orchestrates CXCL10-mediated CD8+ T cell recruitment to promote aging-related white matter degeneration. Nat. Neurosci. 2025, 28, 1160–1173. [Google Scholar] [CrossRef] [PubMed]
  102. Kedia, S.; Ji, H.; Feng, R.; Androvic, P.; Spieth, L.; Liu, L.; Franz, J.; Zdiarstek, H.; Anderson, K.P.; Kaboglu, C.; et al. T cell-mediated microglial activation triggers myelin pathology in a mouse model of amyloidosis. Nat. Neurosci. 2024, 27, 1468–1474. [Google Scholar] [CrossRef]
  103. Guillot-Sestier, M.V.; Doty, K.R.; Gate, D.; Rodriguez, J., Jr.; Leung, B.P.; Rezai-Zadeh, K.; Town, T. Il10 deficiency rebalances innate immunity to mitigate Alzheimer-like pathology. Neuron 2015, 85, 534–548. [Google Scholar] [CrossRef]
  104. Ferretti, M.T.; Merlini, M.; Späni, C.; Gericke, C.; Schweizer, N.; Enzmann, G.; Engelhardt, B.; Kulic, L.; Suter, T.; Nitsch, R.M. T-cell brain infiltration and immature antigen-presenting cells in transgenic models of Alzheimer’s disease-like cerebral amyloidosis. Brain Behav. Immun. 2016, 54, 211–225. [Google Scholar] [CrossRef]
  105. Sallusto, F.; Impellizzieri, D.; Basso, C.; Laroni, A.; Uccelli, A.; Lanzavecchia, A.; Engelhardt, B. T-cell trafficking in the central nervous system. Immunol. Rev. 2012, 248, 216–227. [Google Scholar] [CrossRef]
  106. Kim, K.; Wang, X.; Ragonnaud, E.; Bodogai, M.; Illouz, T.; DeLuca, M.; McDevitt, R.A.; Gusev, F.; Okun, E.; Rogaev, E.; et al. Therapeutic B-cell depletion reverses progression of Alzheimer’s disease. Nat. Commun. 2021, 12, 2185. [Google Scholar] [CrossRef]
  107. Grassivaro, F.; Menon, R.; Acquaviva, M.; Ottoboni, L.; Ruffini, F.; Bergamaschi, A.; Muzio, L.; Farina, C.; Martino, G. Convergence between Microglia and Peripheral Macrophages Phenotype during Development and Neuroinflammation. J. Neurosci. Off. J. Soc. Neurosci. 2020, 40, 784–795. [Google Scholar] [CrossRef]
  108. Winford, E.D.; Bachstetter, A.D. Alzheimer’s disease and the immune system: The emerging role of TEMRA cells. Neural Regen. Res. 2025, 1, 3529–3530. [Google Scholar] [CrossRef] [PubMed]
  109. Grayson, J.M.; Short, S.M.; Lee, C.J.; Park, N.; Marsac, C.; Sette, A.; Lindestam Arlehamn, C.S.; Leng, X.I.; Lockhart, S.N.; Craft, S. T cell exhaustion is associated with cognitive status and amyloid accumulation in Alzheimer’s disease. Sci. Rep. 2023, 13, 15779. [Google Scholar] [CrossRef]
  110. Gericke, C.; Kirabali, M.T.; Flury, R.; Mallone, A.; Rickenbach, C.; Kulic, L.; Tosevski, V.; Hock, C.; Nitsch, R.M.; Treyer, V.; et al. Early β-amyloid accumulation in the brain is associated with peripheral T cell alterations. Alzheimer’s Dement. 2023, 19, 5642–5662. [Google Scholar] [CrossRef] [PubMed]
  111. van Olst, L.; Kamermans, A.; Halters, S.; van der Pol, S.M.A.; Rodriguez, E.; Verberk, I.M.W.; Verberk, S.G.S.; Wessels, D.W.R.; Rodriguez-Mogeda, C. Adaptive immune changes associate with clinical progression of Alzheimer’s disease. Mol. Neurodegener. 2024, 19, 38. [Google Scholar] [CrossRef]
  112. Urban, S.L.; Jensen, I.J.; Shan, Q.; Pewe, L.L.; Xue, H.H.; Badovinac, V.P.; Harty, J.T. Peripherally induced brain tissue-resident memory CD8(+) T cells mediate protection against CNS infection. Nat. Immunol. 2020, 21, 938–949. [Google Scholar] [CrossRef]
  113. Su, W.; Saravia, J.; Risch, I.; Rankin, S.; Guy, C.; Chapman, N.M.; Shi, H.; Sun, Y.; Kc, A.; Li, W.; et al. CXCR6 orchestrates brain CD8+ T cell residency and limits mouse Alzheimer’s disease pathology. Nat. Immunol. 2023, 24, 1735–1747. [Google Scholar] [CrossRef]
  114. Mason, H.D.; Latour, Y.L.; Boughter, C.T.; Johnson, K.R.; Maric, D.; Dorrier, C.E.; Guedes, V.A.; Lai, C.; Duncker, P.C.; Johnson, A.M.; et al. Granzyme K+ CD8 T cells slow tauopathy progression by targeting microglia. Nat. Immunol. 2025, 26, 1152–1167. [Google Scholar] [CrossRef]
  115. Rickenbach, C.; Mallone, A.; Häusle, L.; Frei, L.; Seiter, S.; Sparano, C.; Kirabali, T.; Blennow, K.; Zetterberg, H.; Ferretti, M.T.; et al. Altered T-cell reactivity in the early stages of Alzheimer’s disease. Brain 2025, 148, 3364–3378. [Google Scholar] [CrossRef]
  116. Baruch, K.; Rosenzweig, N.; Kertser, A.; Deczkowska, A.; Sharif, A.M.; Spinrad, A.; Tsitsou-Kampeli, A.; Sarel, A.; Cahalon, L.; Schwartz, M. Breaking immune tolerance by targeting Foxp3(+) regulatory T cells mitigates Alzheimer’s disease pathology. Nat. Commun. 2015, 18, 6–7967. [Google Scholar] [CrossRef]
  117. Späni, C.; Suter, T.; Derungs, R.; Ferretti, M.T.; Welt, T.; Wirth, F.; Gericke, C.; Nitsch, R.M.; Kulic, L. Reduced β-amyloid pathology in an APP transgenic mouse model of Alzheimer’s disease lacking functional B and T cells. Acta Neuropathol. Commun. 2015, 3, 71. [Google Scholar] [CrossRef]
  118. Merlini, M.; Kirabali, T.; Kulic, L.; Nitsch, R.M.; Ferretti, M.T. Extravascular CD3+ T cells in brains of Alzheimer disease patients correlate with tau but not with amyloid pathology: An immunohistochemical study. Neurodegener. Dis. 2018, 18, 49–56. [Google Scholar] [CrossRef]
  119. Monsonego, A.; Nemirovsky, A.; Harpaz, I. CD4 T cells in immunity and immunotherapy of Alzheimer’s disease. Immunology 2013, 139, 438–446. [Google Scholar] [CrossRef]
  120. Roy, E.R.; Chiu, G.; Li, S.; Propson, N.E.; Kanchi, R.; Wang, B.; Coarfa, C.; Zheng, H.; Cao, W. Concerted type I interferon signaling in microglia and neural cells promotes memory impairment associated with amyloid β plaques. Immunity 2022, 55, 879–894. [Google Scholar] [CrossRef]
  121. Unger, M.S.; Li, E.; Scharnagl, L.; Poupardin, R.; Altendorfer, B.; Mrowetz, H.; Hutter-Paier, B.; Weiger, T.M.; Heneka, M.T.; Attems, J.; et al. CD8+ T-cells infiltrate Alzheimer’s disease brains and regulate neuronal- and synapse-related gene expression in APP-PS1 transgenic mice. Brain Behav. Immun. 2020, 89, 67–86. [Google Scholar] [CrossRef] [PubMed]
  122. Xie, Y.; Liu, J.; Hou, Z.; Wang, H.; Liu, K.; Chen, X.; Fan, Z.; Li, D.; Li, C.; Pan, Y. CD4-Derived Double-Negative T Cells Ameliorate Alzheimer’s Disease-Like Phenotypes in the 5×FAD Mouse Model. CNS Neurosci. Ther. 2025, 31, e70187. [Google Scholar] [CrossRef]
  123. Chen, X.; Holtzman, D.M.; Colonna, M. Immunity in Alzheimer’s disease: From mechanisms to therapies. Immunity 2026, 59, 524–541. [Google Scholar] [CrossRef]
  124. Xu, L.; Ye, X.; Wang, Q.; Xu, B.; Zhong, J.; Chen, Y.Y.; Wang, L.L. T-cell infiltration, contribution and regulation in the central nervous system post-traumatic injury. Cell Prolif. 2021, 54, e13092. [Google Scholar] [CrossRef]
  125. Foley, J.F. Restraining neuroinflammation in Alzheimer’s disease. Sci. Signal. 2023, 16, eadl4458. [Google Scholar] [CrossRef] [PubMed]
  126. Browne, T.C.; McQuillan, K.; McManus, R.M.; O’Reilly, J.A.; Mills, K.H.; Lynch, M.A. IFN-γ Production by amyloid β-specific Th1 cells promotes microglial activation and increases plaque burden in a mouse model of Alzheimer’s disease. J. Immunol. 2013, 190, 2241–2251. [Google Scholar] [CrossRef]
  127. Bruno, F.; Abondio, P.; Bruno, R.; Ceraudo, L.; Paparazzo, E.; Citrigno, L.; Luiselli, D.; Bruni, A.C.; Passarino, G.; Colao, R.; et al. Alzheimer’s disease as a viral disease: Revisiting the infectious hypothesis. Ageing Res. Rev. 2023, 91, 102068. [Google Scholar] [CrossRef] [PubMed]
  128. Kam, T.I.; Song, S.; Gwon, Y.; Park, H.; Yan, J.J.; Im, I.; Choi, J.W.; Choi, T.Y.; Kim, J.; Song, D.K.; et al. FcγRIIb mediates amyloid-β neurotoxicity and memory impairment in Alzheimer’s disease. J. Clin. Investig. 2013, 123, 2791–2802. [Google Scholar] [CrossRef]
  129. Lophatananon, A.; Carr, M.; Mcmillan, B.; Dobson, C.; Itshki, R.; Parisi, R.; Ashcroft, D.M.; Muir, K.R. The association of herpes zoster and influenza vaccinations with the risk of developing dementia: A population-based cohort study within the UK Clinical Practice Research Datalink. BMC Public Health 2023, 23, 1903. [Google Scholar] [CrossRef]
  130. Liu, R.Y.; Yin, K.F.; He, S.Y.; Su, W.M.; Duan, Q.Q.; Wen, X.J.; Chen, T.; Shen, C.; Li, J.R.; Cao, B.; et al. Viral infections and the risk of neurodegenerative diseases: A comprehensive meta-analysis and systematic review. Transl. Psychiatry 2025, 15, 388. [Google Scholar] [CrossRef]
  131. Yanes, K.J.O.; Bui, C.T.; Tomasello, J.; Morsy, H.; Kim, E.; Lam, T.; Tsourmas, K.; Ayala, L.A.; Green, K.N.; Inlay, M.A.; et al. Toxoplasma gondii drives myeloid immune cell recruitment to amyloid plaques in Alzheimer’s model mice. J. Neuroinflamm. 2026, 23, 64. [Google Scholar] [CrossRef]
  132. Asamu, M.O.; Oladipo, O.O.; Abayomi, O.A.; Adebayo, A.A. Alzheimer’s disease: The role of T lymphocytes in neuroinflammation and neurodegeneration. Brain Res. 2023, 1821, 148589. [Google Scholar] [CrossRef]
  133. Jafarzadeh, A.; Sheikhi, A.; Jafarzadeh, Z.; Nemati, M. Differential roles of regulatory T cells in Alzheimer’s disease. Cell. Immunol. 2023, 393–394, 104778. [Google Scholar] [CrossRef]
  134. Jamieson, G.A.; Maitland, N.J.; Wilcock, G.K.; Craske, J.; Itzhaki, R.F. Latent herpes simplex virus type 1 in normal and Alzheimer’s disease brains. J. Med. Virol. 1991, 33, 224–227. [Google Scholar] [CrossRef] [PubMed]
  135. Zhao, Y.; Li, X.; Dong, W.; Zhu, H.; Wang, S.; Xu, M.; Xu, Y.; Liu, M.; Duan, J.; Liu, Y.; et al. Integrated Single-Cell Multi-Omics Analysis Reveals That a CD8+ TPex-Monocyte Interaction Axis Coordinates Immune Infiltration in Alzheimer’s Disease. Int. J. Mol. Sci. 2026, 27, 1783. [Google Scholar] [CrossRef]
  136. Guo, L.; Li, X.; Gould, T.; Wang, Z.-Y.; Cao, W. T cell aging and Alzheimer’s disease. Front. Immunol. 2023, 14, 1154699. [Google Scholar] [CrossRef] [PubMed]
  137. De Sousa, R.A.L.; Mendes, B.F. T-regulatory cells and extracellular vesicles in Alzheimer’s disease: New therapeutic concepts and hypotheses. Brain Res. 2025, 1, 1850–149393. [Google Scholar] [CrossRef] [PubMed]
  138. Ciccocioppo, F.; Lanuti, P.; Pierdomenico, L.; Simeone, P.; Bologna, G.; Ercolino, E.; Buttari, F.; Fantozzi, R.; Thomas, A.; Onofrj, M. The Characterization of Regulatory T-Cell Profiles in Alzheimer’s Disease and Multiple Sclerosis. Sci. Rep. 2019, 19, 8788. [Google Scholar] [CrossRef]
  139. Maurice, N.J.; McElrath, M.J.; Andersen-Nissen, E.; Frahm, N.; Prlic, M. CXCR3 enables recruitment and site-specific bystander activation of memory CD8+ T cells. Nat. Commun. 2019, 10, 4987. [Google Scholar] [CrossRef]
  140. Kurachi, M.; Kurachi, J.; Suenaga, F. Chemokine receptor CXCR3 facilitates CD8 (+) T cell differentiation into short-lived effector cells leading to memory degeneration. J. Exp. Med. 2011, 208, 1605–1620. [Google Scholar] [CrossRef]
  141. Michel, J.J.; Sanghvi, K.; Rosenbauer, J.; Humbs, L.; Dierssen, C.T.; Grudzenski-Theis, S.; Sachs, V.; Jähne, K.; Degenhardt, K.; Frölich, L.; et al. Type I interferon drives T cell responses to amyloid beta in the central nervous system. Nat. Commun. 2026, 17, 3737. [Google Scholar] [CrossRef]
  142. Zattoni, M.; Bernegger, S.; Weinbender, S.; Altendorfer, B.; Mrowetz, H.; Benedetti, A.; Poupardin, R.; Unger, M.S.; Aigner, L. The involvement of microglia and the CXCL16-CXCR6 axis in the recruitment of CD8+ T cells to an amyloidogenic mouse brain. Sci. Rep. 2025, 31, 38221. [Google Scholar] [CrossRef]
  143. Skelly, D.; Attfield, K.E.; Fugger, L. T cells turn in Alzheimer’s disease. Brain 2025, 148, 3034–3036. [Google Scholar] [CrossRef]
  144. Peters van Ton, A.M.; Verbeek, M.M.; Alkema, W.; Pickkers, P.; Abdo, W.F. Downregulation of synapse-associated protein expression and loss of homeostatic microglial control in cerebrospinal fluid of infectious patients with delirium and patients with Alzheimer’s disease. Brain Behav. Immun. 2020, 89, 656–667. [Google Scholar] [CrossRef]
  145. Mastrangelo, M.A.; Sudol, K.L.; Narrow, W.C.; Bowers, W.J. Interferon-{gamma} differentially affects Alzheimer’s disease pathologies and induces neurogenesis in triple transgenic-AD mice. Am. J. Pathol. 2009, 175, 2076–2088. [Google Scholar] [CrossRef]
  146. McCallion, O.; Bilici, M.; Hester, J.; Issa, F. Regulatory T-cell therapy approaches. Clin. Exp. Immunol. 2023, 211, 96–107. [Google Scholar] [CrossRef] [PubMed]
  147. Ge, J.; Yin, X.; Chen, L. Regulatory T cells: Masterminds of immune equilibrium and future therapeutic innovations. Front. Immunol. 2024, 15, 1664–3224. [Google Scholar] [CrossRef] [PubMed]
  148. Stym-Popper, G.; Matta, K.; Chaigneau, T.; Rupra, R.; Demetriou, A.; Fouquet, S.; Dansokho, C.; Toly-Ndour, C.; Dorothée, G. Regulatory T cells decrease C3-positive reactive astrocytes in Alzheimer-like pathology. J. Neuroinflamm. 2023, 20, 64. [Google Scholar] [CrossRef] [PubMed]
  149. Liao, D.; Zhang, M.; Yang, Q.; Li, T.; Cao, Z.; Liu, D.; Zhang, Z.; Li, X.; Tian, Z.; Li, X.; et al. Targeting CXCL8 in post-traumatic stress disorder and Alzheimer’s disease: Insights from cross-disorder molecular analysis. Ann. Med. 2026, 58, 2610559. [Google Scholar] [CrossRef]
  150. Li, Z.; Tan, B.; Dong, K.; Yu, X.; Zhang, S.W.; Luo, L.; Yao, W.; Qin, Z.; Wu, F. Cobrotoxin mitigates neuroinflammation and cognitive impairment by suppressing CD8+ T cell-microglia interactions in male 5 × FAD mice. Biochem. Pharmacol. 2026, 247, 117779. [Google Scholar] [CrossRef]
  151. Faridar, A.; Gamez, N.; Li, D.; Wang, Y.; Boradia, R.; Thome, A.D.; Zhao, W.; Beers, D.R.; Thonhoff, J.R.; Nakawah, M.O.; et al. Low-dose interleukin-2 in patients with mild to moderate Alzheimer’s disease: A randomized clinical trial. Alzheimer’s Res. Ther. 2025, 17, 146. [Google Scholar] [CrossRef]
  152. Maier, M.; Peng, Y.; Jiang, L.; Seabrook, T.J.; Carroll, M.C.; Lemere, C.A. Complement C3 deficiency leads to accelerated amyloid beta plaque deposition and neurodegeneration and modulation of the microglia/macrophage phenotype in amyloid precursor protein transgenic mice. J. Neurosci. Off. J. Soc. Neurosci. 2008, 28, 6333–6341. [Google Scholar] [CrossRef]
  153. Monteiro, R.; Dunn, J.T.; Rodriguez, G.; Fisher, D.W.; Dong, H. Targeting central immune signaling enhances the effects of methylphenidate in alleviating apathy-like behavior in 5xFAD mice. Sci. Rep. 2026. [Google Scholar] [CrossRef]
  154. Tripathi, P.; Shah, J. Valacyclovir Mitigates Amyloid Plaque Deposition, P-Tau Aggregation, and Neuroinflammation in Streptozotocin induced Alzheimer’s Disease Rat Model. Mol. Neurobiol. 2026, 63, 356. [Google Scholar] [CrossRef] [PubMed]
  155. Lim, L. Modifying Alzheimer’s disease pathophysiology with photobiomodulation: Model, evidence, and future with EEG-guided intervention. Front. Neurol. 2024, 15, 1407785. [Google Scholar] [CrossRef]
  156. Salehpour, F.; Mahmoudi, J.; Kamari, F.; Sadigh-Eteghad, S.; Rasta, S.H.; Hamblin, M.R. Brain Photobiomodulation Therapy: A Narrative Review. Mol. Neurobiol. 2018, 55, 6601–6636. [Google Scholar] [CrossRef] [PubMed]
  157. Liu, S.; Semyachkina-Glushkovskaya, O.; Yu, T.; Ilukov, E.; Rafailov, E.; Sokolovski, S.; Kurths, J.; Zhu, D. Neuro-lymphaphotonics opens new horizons of the future technologies for the therapy of brain diseases. Theranostics 2026, 16, 776–793. [Google Scholar] [CrossRef]
  158. Blivet, G.; Touchon, B.; Cavadore, H.; Guillemin, S.; Pain, F.; Weiner, M.; Sabbagh, M.; Moro, C.; Touchon, J. Brain photobiomodulation: A potential treatment in Alzheimer’s and Parkinson’s diseases. J. Prev. Alzheimer’s Dis. 2025, 12, 100185. [Google Scholar] [CrossRef]
  159. Xu, X.; Pang, Y.; Fan, X. Mitochondria in oxidative stress, inflammation and aging: From mechanisms to therapeutic advances. Signal Transduct. Target. Ther. 2025, 10, 190. [Google Scholar] [CrossRef]
  160. Tian, Z.; Wang, P.; Huang, K.; Yu, J.; Zhang, M.; Liu, Y.; Zhao, H.; Zhu, B.; Huang, X.; Tong, Z. Photobiomodulation for Alzheimer‘s disease: Photoelectric coupling effect on attenuating Aβ neurotoxicity. Lasers Med. Sci. 2023, 38, 39. [Google Scholar] [CrossRef] [PubMed]
  161. Li, B.; Golovynska, I.; Stepanov, Y.V.; Golovynskyi, S.; Golovynskyi, A.; Kolesnik, D.; Stepanova, L.I.; Lai, P.; Lin, F.; Qu, J. Transcranial photobiomodulation therapy with 808 nm light changes expression of genes and proteins associated with neuroprotection, neuroinflammation, oxidative stress, and Alzheimer disease: Whole RNA sequencing of mouse cortex and hippocampus. PLoS ONE 2025, 20, e0326881. [Google Scholar] [CrossRef]
  162. Huang, Z.; Hamblin, M.R.; Zhang, Q. Photobiomodulation in experimental models of Alzheimer disease: State-of-the-art and translational perspectives. Alzheimer’s Res. Ther. 2024, 16, 114. [Google Scholar] [CrossRef]
  163. Kim, M.J.; Kim, M.H.; Kim, S.; Lee, J.J.; Kim, H.J. Near-infrared laser diode mitigates Aβ1–42-induced neurodegeneration in cortical neurons. J. Photochem. Photobiol. B 2024, 259, 113021. [Google Scholar] [CrossRef] [PubMed]
  164. Pickart, L.; Margolina, A. Regenerative and Protective Actions of the GHK-Cu Peptide in the Light of the New Gene Data. Int. J. Mol. Sci. 2018, 19, 1987. [Google Scholar] [CrossRef] [PubMed]
  165. Cao, S.; Shi, X.; Chen, Y.; Liu, T.; Hu, J.; Dong, X.; Chen, H.; Dai, J.; Yin, H. Gut Microbiota-Targeted Photobiomodulation Ameliorates Alzheimer’s Pathology via the Gut-Brain Axis: Comparable Efficacy to Transcranial Irradiation. Microorganisms 2025, 13, 2659. [Google Scholar] [CrossRef] [PubMed]
  166. Salehpour, F.; Khademi, M.; Bragin, D.E.; DiDuro, J.O. Photobiomodulation Therapy and the Glymphatic System: Promising Applications for Augmenting the Brain Lymphatic Drainage System. Int. J. Mol. Sci. 2022, 23, 2975. [Google Scholar] [CrossRef]
  167. Nairuz, T.; Heo, J.C.; Park, H.J.; Lee, J.H. Photobiomodulation at 660 nm Alleviates Alzheimer Disease Pathology Through Amyloid-β Reduction and SIRT1 Upregulation in the Hippocampus of 5xFAD Mice. Int. J. Mol. Sci. 2025, 26, 9569. [Google Scholar] [CrossRef]
  168. Semyachkina-Glushkovskaya, O.; Klimova, M.; Iskra, T.; Bragin, D.; Abdurashitov, A.; Dubrovsky, A.; Khorovodov, A.; Terskov, A.; Blokhina, I.; Lezhnev, N.; et al. Transcranial Photobiomodulation of Clearance of Beta-Amyloid from the Mouse Brain: Effects on the Meningeal Lymphatic Drainage and Blood Oxygen Saturation of the Brain. In Oxygen Transport to Tissue XLII; Advances in Experimental Medicine and Biology; Springer International Publishing: Cham, Switzerland, 2021; Volume 1269. [Google Scholar]
  169. Gaggi, N.L.; Parincu, Z.; Peterson, A.; O’Brien, C.; Kam, K.; Tural, U.; Ayappa, I.; Varga, A.W.; Iosifescu, D.V.; Osorio, R.S. Enhancing sleep, wakefulness, and cognition with transcranial photobiomodulation: A systematic review. Front. Behav. Neurosci. 2025, 19, 1542462. [Google Scholar] [CrossRef]
  170. Gordon, L.C.; Johnstone, D.M. Remote photobiomodulation: An emerging strategy for neuroprotection. Neural Regen. Res. 2019, 14, 2086–2087. [Google Scholar] [CrossRef]
  171. Chun, H.; Lee, H.W.; Hong, S.B.; Ha, S.S.; Yoon, K. J Home-based transcranial photobiomodulation improves cognitive function in mild cognitive impairment due to Alzheimer’s disease: A randomized, double-blind, placebo-controlled confirmatory trial. J. Alzheimer’s Dis. 2026, 23, 13872877261443973. [Google Scholar] [CrossRef]
Figure 1. Rolling and migration is directed by chemokines. Interaction between chemokines and cell adhesion molecules involved in BBB disruption in the brains of AD models and AD patients (figure of own elaboration).
Figure 1. Rolling and migration is directed by chemokines. Interaction between chemokines and cell adhesion molecules involved in BBB disruption in the brains of AD models and AD patients (figure of own elaboration).
Biomolecules 16 00855 g001
Figure 2. Interactive effects between the innate and adaptive immune responses in the brain of Alzheimer’s patients.
Figure 2. Interactive effects between the innate and adaptive immune responses in the brain of Alzheimer’s patients.
Biomolecules 16 00855 g002
Table 1. Function of chemokine axis.
Table 1. Function of chemokine axis.
Cite/Major Cell TypeFunctional Role in ADChemokine Axis
[61] Endothelial cellsNeuroprotective or neurodegenerative role Fractalkine = CX3CL1/CX3CR1
[16] Neurons and microglia
Fractalkine regulates microglia activation
Removal of deposition of beta amyloid deposits in AD models and AD patients
[4] Neurons CCR2 is linked to increased amyloid deposits (humans) CXCR2/CXCL8
[7] Recruitment of peripheral monocytes to plaques into the parenchyma in AD brainBBB breakdownCCL2 = MCP-1/CCR2
Neurodegeneration
(AD patients and AD models)
Produced by astrocytes or microglia cells
[4] Produced by neurons, astrocytes, and microgliaPromotes monocyte infiltration in the AD brainCCL3
Potent chemoattractant, drawing reactive microglia and astrocytes to areas with amyloid-beta plaques
CCR5—CCL3 axis facilitates the aggregation of amyloid plaques
[4,7]CXCL10 co-localizes with Aβ plaques in APP-transgenic mice CXCL10/CXCR3
CXCL10/CXCR3 axis is a major driver of neuroinflammation
Activates astrocytes Responses in AD
(AD patients)
Neurodegeneration
Impairs memory formation in LTP
(AD models)
[66] Astrocytes and microglia overexpress CXCL10 and bind to CXCR3 on infiltrating CD8+ T cells in the brain CXCR3 activation recruits T cells in the brain of AD models and AD patients
[69] The CXCR4/SDF1 alpha is expressed by endothelial cells, neurons, astrocytes, and microglia Regulate gut dysbiosis and recruit T cells into the brainSDF 1 Alpha = CXCL12/CXCR4
Cognitive dysfunction and memory loss in AD
Promotes synaptic plasticity and neurogenesis
(AD rodent models)
Modulates GABAergic inhibition, affecting the balance between excitation and inhibition
(AD models)
[67] CCL5 is mainly secreted by T cells, and it is expressed by platelets, macrophages, and neuronsNeuroinflammationCCR5 = RANTES/CCR5 axis
Neuroprotection
CCR2 receptor is found in astrocytes and microglia Recruitment of T cells and monocytes,
amyloid-beta neuropathology
Endothelial cells, neurons, glia cellsMarkers of ADCCL19, CCL20
Neurodegeneration
Induces T-cell migration into the brain in AD models
CCL24: fluid biomarker for AD progression
Neurons and glia, lymphoid organs Critical players of immune cell trafficking in AD
The CCL19/CCL21-CCR7 axis mediates both peripheral immune cell homing and brain surveillance
Cognitive decline and amyloid-beta pathology
Homeostatic chemokines mobilize dendritic cells
T cells and mature DCs to lymphoid organs
Table 2. Mean studies with T cells in AD (rodent models and AD patients).
Table 2. Mean studies with T cells in AD (rodent models and AD patients).
Experimental ModelImmune Cell SubtypeKey Signaling Pathways and Protective vs.
Detrimental Effects in AD
Single-cell RNA and T cell receptor (TCR) sequencing of 99,625 high-
quality immune cells from 57 leptomeninges and brain samples from donors with AD in patients
Clonal CD8+ T cell brain and leptomeningeal immune cells coordinate
their activities in AD
The degree of CD8 TRM clonal expansion is positively correlated with microgliaTGFB2
Protective: new opportunities for developing
Biomarkers [83]
5xFAD mouse model of
amyloidosis
T-cell infiltration in the brain of ADT-cell infiltration induces cognitive decline in AD
Pathogenic: pro-inflammatory cytokine release and exhaustion markers expressing CXCR6+ CD39+CD73+/− CD8+ TRM-like cells. The CD8+ T cells overactive microglia around Aβ plaques in the brain of mic [43]
Mouse AD brains CXCR6 orchestrates brain CD8+ T-cell recruitmentCXCR6 orchestrates brain CD8+ T-cell residency and limits mouse Alzheimer’s disease pathology.
Ligand–receptor interaction by CXCL16–CXCR6 signaling modulates intercellular communication between microglia and CD8+ T cells
Brain-resident CD8+ T cells that coexpress CXCR6 and PD-1 and are in proximity to plaque-associated microglia human and mouse AD brains
Protective roles for brain CD8+ T cells and CXCR6 in mouse AD pathogenesis [113]
PBMC (Peripheral Blood Mononuclear Cells) T cells from AD patients versus controls (without
neurodegeneration), but not of B cells controls.
Telomere length shortening Telomere length shortening of T cells, but not of B cells or monocytes, correlated with AD status, in the mini mental scores as index of cognitive disfunction
Neurodegeneration: T-cell telomere length inversely correlated with serum TNF alpha levels, with apoptosis as well as with the proportion of CD8+ T cells lacking expression of the CD28—a costimulatory molecule [92]
Cross-sectional analyses of blood AD and CSF from early AD stages by high-dimensional mass cytometry,
single-cell RNA sequencing, ex vivo
T-cell secretome analysis, and antigen presentation assays
Altered T-cell reactivity in the early stages of diseaseMinor cognitive impairment is associated with increased frequencies of CD8+ TEMRA/effector cells in the periphery by inflammatory mediators, and decreased antigen responsiveness
It may be beneficial to promote specific CD4+ T-cell responses in the preclinical stage of AD [115]
PSAPP AD transgenic mice, were crossbred with the recombination activating gene-2 knockout (Rag2 ko) mice lacking functional B and T cells The lack of functional B and T cells decreased β
-amyloid pathology in AD
Protective: Reduced β-amyloid pathology in an APP AD model lacking functional B and T cells [104]
Comparison of peripheral immune changes in patients with AD mild impairment (MCI) or dementia as compared to controls (without cognitive impairment) by cytometry by time-of-flight CyTOF) PD1+ CD57+ CD8+ T effect cells for memory cells re-expressing CD45RA in the MCI stage of ADNeurodegeneration: several innate and adaptive immune cell subsets correlated to CSF biomarkers and cognitive decline in AD
Intriguingly, subsets of memory T and B cells were negatively associated with CSF biomarkers for pathology [98]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Merino, J.J.; Rodríguez-Arellano, J.J.; Busquets, X.; Álvarez-Vicente, I.; Cabaña-Muñoz, M.E.; Flores, A.I.; Gasca, A.T. The Immune-Chemokine Axis in Alzheimer’s Disease: Roles of Adaptive Immune System in Neuroinflammation and Disease Progression. Biomolecules 2026, 16, 855. https://doi.org/10.3390/biom16060855

AMA Style

Merino JJ, Rodríguez-Arellano JJ, Busquets X, Álvarez-Vicente I, Cabaña-Muñoz ME, Flores AI, Gasca AT. The Immune-Chemokine Axis in Alzheimer’s Disease: Roles of Adaptive Immune System in Neuroinflammation and Disease Progression. Biomolecules. 2026; 16(6):855. https://doi.org/10.3390/biom16060855

Chicago/Turabian Style

Merino, José Joaquín, José Julio Rodríguez-Arellano, Xavier Busquets, Isabel Álvarez-Vicente, María Eugenia Cabaña-Muñoz, Ana Isabel Flores, and Adolfo Toledano Gasca. 2026. "The Immune-Chemokine Axis in Alzheimer’s Disease: Roles of Adaptive Immune System in Neuroinflammation and Disease Progression" Biomolecules 16, no. 6: 855. https://doi.org/10.3390/biom16060855

APA Style

Merino, J. J., Rodríguez-Arellano, J. J., Busquets, X., Álvarez-Vicente, I., Cabaña-Muñoz, M. E., Flores, A. I., & Gasca, A. T. (2026). The Immune-Chemokine Axis in Alzheimer’s Disease: Roles of Adaptive Immune System in Neuroinflammation and Disease Progression. Biomolecules, 16(6), 855. https://doi.org/10.3390/biom16060855

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop