Neuroimmune Dysregulation and the Role of IL-10 in Depression: A Systematic Review
Abstract
1. Introduction
2. Materials and Methods
3. Results
3.1. Study Selection and Characteristics of Included Studies
3.2. Neuroimmune Dysregulation in Depression and TRD
3.3. Role of IL-10 in Neuroinflammatory Modulation
4. Discussion
Limitations
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Conflicts of Interest
Abbreviations
| BDNF | Brain-Derived Neurotrophic Factor |
| CRP | C-Reactive Protein |
| HDRS | Hamilton Depression Rating Scale |
| HPA | Hypothalamic–Pituitary–Adrenal Axis |
| IFN-α | Interferon Alpha |
| IL | Interleukin |
| IL-1β | Interleukin-1 Beta |
| IL-2 | Interleukin-2 |
| IL-6 | Interleukin-6 |
| IL-10 | Interleukin-10 |
| JAK | Janus Kinase |
| KYN | Kynurenine |
| KP | Kynurenine Pathway |
| LPS | Lipopolysaccharide |
| MADRS | Montgomery–Åsberg Depression Rating Scale |
| MDD | Major Depressive Disorder |
| RCT | Randomized Controlled Trial |
| SSRI | Selective Serotonin Reuptake Inhibitor |
| tDCS | Transcranial Direct Current Stimulation |
| TNF-α | Tumor Necrosis Factor Alpha |
| TRD | Treatment-Resistant Depression |
References
- Gaynes, B.N.; Lux, L.; Gartlehner, G.; Asher, G.; Forman-Hoffman, V.; Green, J.; Boland, E.; Weber, R.P.; Randolph, C.; Bann, C.; et al. Defining treatment-resistant depression. Depress. Anxiety 2020, 37, 134–145. [Google Scholar] [CrossRef] [PubMed]
- Fiorillo, A.; Demyttenaere, K.; Martiadis, V.; Martinotti, G. Editorial: Treatment resistant depression (TRD): Epidemiology, clinic, burden and treatment. Front. Psychiatry 2025, 16, 1588902. [Google Scholar] [CrossRef]
- Fournier, J.C.; Voytenko, V.L.; Docherty, A.R.; Wright, J.H.; Virk, S.; Posse, P.R.; Flood, M.J.; Quevedo, J.; Burnett, D.K.; Bobo, W.V.; et al. Developing a Treatment-Resistant Depression Consultation Program, Part II: Assessment. J. Clin. Psychiatry 2025, 86, 24cs15336. [Google Scholar] [CrossRef] [PubMed]
- Miller, A.H.; Raison, C.L. The role of inflammation in depression: From evolutionary imperative to modern treatment target. Nat. Rev. Immunol. 2016, 16, 22–34. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Zhang, W.; Xiao, D.; Mao, Q.; Xia, H. Role of neuroinflammation in neurodegeneration development. Signal Transduct. Target. Ther. 2023, 8, 267. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Drevets, W.C.; Wittenberg, G.M.; Bullmore, E.T.; Manji, H.K. Immune targets for therapeutic development in depression: Towards precision medicine. Nat. Rev. Drug Discov. 2022, 21, 224–244. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Verma, R.; Balakrishnan, L.; Sharma, K.; Khan, A.A.; Advani, J.; Gowda, H.; Tripathy, S.P.; Suar, M.; Pandey, A.; Gandotra, S.; et al. A network map of Interleukin-10 signaling pathway. J. Cell Commun. Signal. 2016, 10, 61–67. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Chandra, D.; Naik, S. Leishmania donovani infection down-regulates TLR2-stimulated IL-12p40 and activates IL-10 in cells of macrophage/monocytic lineage by modulating MAPK pathways through a contact-dependent mechanism. Clin. Exp. Immunol. 2008, 154, 224–234. [Google Scholar] [CrossRef] [PubMed]
- Venable, K.E.; Kelley, D.P.; Jeansonne, A.; Beyl, R.; O’bryan, S.; Vatsavayi, V.; Jones, S.; Lee, C.C.; Francis, J. Effects of blueberry supplementation on depression and anxiety symptoms in a rural Louisiana population. Nutrients 2025, 17, 3720. [Google Scholar] [CrossRef]
- Savitz, J.; Figueroa-Hall, L.K.; Teague, T.K.; Yeh, H.-W.; Zheng, H.; Kuplicki, R.; Burrows, K.; El-Sabbagh, N.; Thomas, M.; Ewers, I.; et al. Systemic inflammation and anhedonic responses to an inflammatory challenge in adults with major depressive disorder: A randomized controlled trial. Am. J. Psychiatry 2025, 182, 560–568. [Google Scholar] [CrossRef]
- Merza Mohammad, T.A.; Merza Mohammad, T.A.; Salman, D.M.; Jaafar, H.M. Pentoxifylline as a novel add-on therapy for major depressive disorder in adult patients: A randomized, double-blind, placebo-controlled trial. Pharmacopsychiatry 2024, 57, 205–214. [Google Scholar] [CrossRef] [PubMed]
- Nettis, M.A.; Lombardo, G.; Hastings, C.; Zajkowska, Z.; Mariani, N.; Nikkheslat, N.; Sforzini, L.; Worrell, C.; Begum, A.; Brown, M.; et al. The interaction between kynurenine pathway, suicidal ideation and augmentation therapy with minocycline in patients with treatment-resistant depression. J. Psychopharmacol. 2023, 37, 531–538. [Google Scholar] [CrossRef]
- Vaghef-Mehrabani, E.; Harouni, R.; Behrooz, M.; Ranjbar, F.; Asghari-Jafarabadi, M.; Ebrahimi-Mameghani, M. Effects of inulin supplementation on inflammatory biomarkers and clinical symptoms in women with obesity and depression on a calorie-restricted diet: A randomized controlled trial. Br. J. Nutr. 2023, 129, 1897–1907. [Google Scholar] [CrossRef]
- Langhein, M.; Seitz-Holland, J.; Lyall, A.E.; Pasternak, O.; Chunga, N.; Karayumak, S.C.; Kubicki, A.; Mulert, C.; Espinoza, R.T.; Narr, K.L.; et al. Association between peripheral inflammation and free-water imaging in major depressive disorder before and after ketamine treatment: A pilot study. J. Affect. Disord. 2022, 314, 78–85. [Google Scholar] [CrossRef] [PubMed]
- Zhou, Y.; Wang, C.; Lan, X.; Li, H.; Chao, Z.; Ning, Y. Plasma inflammatory cytokines and treatment-resistant depression with comorbid pain: Improvement by ketamine. J. Neuroinflamm. 2021, 18, 200. [Google Scholar] [CrossRef]
- Pérez-Sánchez, G.; Becerril-Villanueva, E.; Arreola, R.; Martínez-Levy, G.; Hernández-Gutiérrez, M.E.; Velasco-Velásquez, M.A.; Alvarez-Herrera, S.; Cruz-Fuentes, C.; Palacios, L.; de la Peña, F.; et al. Inflammatory profiles in depressed adolescents treated with fluoxetine: An 8-week follow-up study. Mediat. Inflamm. 2018, 2018, 4074051. [Google Scholar] [CrossRef]
- El-Haggar, S.M.; Eissa, M.A.; Mostafa, T.M.; El-Attar, K.S.; Abdallah, M.S. The phosphodiesterase inhibitor pentoxifylline as a novel adjunct to antidepressants in major depressive disorder patients: A randomized controlled trial. Psychother. Psychosom. 2018, 87, 331–339. [Google Scholar] [CrossRef]
- Brunoni, A.R.; Padberg, F.; Vieira, E.L.M.; Teixeira, A.L.; Carvalho, A.F.; Lotufo, P.A.; Gattaz, W.F.; Benseñor, I.M. Plasma biomarkers in a placebo-controlled trial comparing tDCS and escitalopram efficacy in major depression. Prog. Neuro-Psychopharmacol. Biol. Psychiatry 2018, 86, 211–217. [Google Scholar] [CrossRef]
- Zou, W.; Feng, R.; Yang, Y. Changes in the serum levels of inflammatory cytokines in antidepressant drug-naïve patients with major depression. PLoS ONE 2018, 13, e0197267. [Google Scholar] [CrossRef]
- Song, C.; Halbreich, U.; Han, C.; Leonard, B.E.; Luo, H. Imbalance between pro- and anti-inflammatory cytokines in depressed patients: Effect of electroacupuncture or fluoxetine treatment. Pharmacopsychiatry 2009, 42, 182–188. [Google Scholar] [CrossRef] [PubMed]
- Hernández, M.E.; Mendieta, D.; Martínez-Fong, D.; Loría, F.; Moreno, J.; Estrada, I.; Bojalil, R.; Pavón, L. Variations in circulating cytokine levels during 52-week SSRI treatment in major depressive disorder. Eur. Neuropsychopharmacol. 2008, 18, 917–924. [Google Scholar] [CrossRef]
- Wichers, M.C.; Kenis, G.; Leue, C.; Koek, G.; Robaeys, G.; Maes, M. Baseline immune activation as a risk factor for the onset of depression during interferon-alpha treatment. Biol. Psychiatry 2006, 60, 77–83. [Google Scholar] [CrossRef]
- Dantzer, R.; O’Connor, J.C.; Freund, G.G.; Johnson, R.W.; Kelley, K.W. From inflammation to sickness and depression: When the immune system subjugates the brain. Nat. Rev. Neurosci. 2008, 9, 46–56. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Wohleb, E.S.; McKim, D.B.; Sheridan, J.F.; Godbout, J.P. Monocyte trafficking to the brain with stress and inflammation: A novel axis of immune-to-brain communication that influences mood and behavior. Front. Neurosci. 2015, 8, 447. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Nusslock, R.; Alloy, L.B.; Brody, G.H.; Miller, G.E. Annual Research Review: Neuroimmune network model of depression: A developmental perspective. J. Child Psychol. Psychiatry 2024, 65, 538–567. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Paganin, W.; Signorini, S. Inflammatory biomarkers in depression: Scoping review. BJPsych Open 2024, 10, e165. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Breit, S. The Role of Neuroinflammation and Inflammatory Biomarkers in Major Depressive Disorder. Med. Res. Arch. 2025, 13, 7. [Google Scholar] [CrossRef]
- Brites, D.; Fernandes, A. Neuroinflammation and Depression: Microglia Activation, Extracellular Microvesicles and microRNA Dysregulation. Front. Cell. Neurosci. 2015, 9, 476. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Cakmak, J.D.; Liu, L.; Poirier, S.E.; Schaefer, B.; Poolacherla, R.; Burhan, A.M.; Sabesan, P.; Lawrence, K.S.; Théberge, J.; Hicks, J.W.; et al. The functional and structural associations of aberrant microglial activity in major depressive disorder. J. Psychiatry Neurosci. 2022, 47, E197–E208. [Google Scholar] [CrossRef]
- Xu, W.; Huang, Y.; Zhou, R. NLRP3 inflammasome in neuroinflammation and central nervous system diseases. Cell. Mol. Immunol. 2025, 22, 341–355. [Google Scholar] [CrossRef] [PubMed]
- Laumet, G.; Edralin, J.D.; Chiang, A.C.-A.; Dantzer, R.; Heijnen, C.J.; Kavelaars, A. Resolution of inflammation-induced depression requires T lymphocytes and endogenous brain interleukin-10 signaling. Neuropsychopharmacology 2018, 43, 2597–2605. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Han, Q.; Li, W.; Chen, P.; Wang, L.; Bao, X.; Huang, R.; Liu, G.; Chen, X. Microglial NLRP3 inflammasome-mediated neuroinflammation and therapeutic strategies in depression. Neural Regen. Res. 2024, 19, 1890–1898. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Laffer, B.; Bauer, D.; Wasmuth, S.; Busch, M.; Jalilvand, T.V.; Thanos, S.; zu Hörste, G.M.; Loser, K.; Langmann, T.; Heiligenhaus, A.; et al. Loss of IL-10 Promotes Differentiation of Microglia to a M1 Phenotype. Front. Cell. Neurosci. 2019, 13, 430. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Miller, A.H.; Haroon, E.; Raison, C.L.; Felger, J.C. Cytokine targets in the brain: Impact on neurotransmitters and neurocircuits. Depress. Anxiety 2013, 30, 297–306. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Yang, G.; Xu, X.; Gao, W.; Wang, X.; Zhao, Y.; Xu, Y. Microglia-orchestrated neuroinflammation and synaptic remodeling: Roles of pro-inflammatory cytokines and receptors in neurodegeneration. Front. Cell. Neurosci. 2025, 19, 1700692. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Worthen, R.J.; Zighelboim, S.S.G.; Jaramillo, C.S.T.; Beurel, E. Anti-inflammatory IL-10 administration rescues depression-associated learning and memory deficits in mice. J. Neuroinflamm. 2020, 17, 246. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Di Vincenzo, M.; Martiadis, V.; Della Rocca, B.; Arsenio, E.; D’aRpa, A.; Volpicelli, A.; Luciano, M.; Sampogna, G.; Fiorillo, A. Facts and myths about use of esketamine for treatment-resistant depression: A narrative clinical review. Front. Psychiatry 2024, 15, 1394787. [Google Scholar] [CrossRef]
- Aragón-González, A.; Shaw, P.J.; Ferraiuolo, L. Blood-Brain Barrier Disruption and Its Involvement in Neurodevelopmental and Neurodegenerative Disorders. Int. J. Mol. Sci. 2022, 23, 15271. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]
- Porro, C.; Cianciulli, A.; Panaro, M.A. The Regulatory Role of IL-10 in Neurodegenerative Diseases. Biomolecules 2020, 10, 1017. [Google Scholar] [CrossRef] [PubMed] [PubMed Central]


| Author | Study Design | Assessment Tool | Quality | Main Limitations of the Study |
|---|---|---|---|---|
| Venable et al., 2025. [9] | Placebo-controlled Clinical trial | RoB 2 | Moderate - high | Blinding is missing |
| Savitz J et al., 2025. [10] | Double blinded randomized clinical trial | RoB 2 | High | Sample size and subjective outcomes |
| Merza Mohamm et al., 2024. [11] | Double blinded randomized clinical trial | RoB 2 | High | Allocation concealment and intention-to-treat analysis |
| Nettis MA et al., 2023. [12] | Mixed-methods clinical intervention study | NIH | Moderate | Mixed methods and possible confusion in biomarkers |
| Vaghef-ehrabani et al., 2023. [13] | Randomized clinical trial | RoB 2 | Moderate | Dietary adherence, cointerventions and missing blinding |
| Langhein M et al., 2022. [14] | Longitudinal pilot study | NIH | Moderate - low | Small sample size and absence of a robust control group |
| Zhou Y et al., 2021. [15] | Longitudinal clinical study | NIH | Moderate | Clinical heterogeneity and absence of a robust control group |
| Pérez-Sánchez G et al., 2018. [16] | Open follow-up study | NIH | Moderate - low | Open design and no blinding |
| El-Haggar et al., 2018. [17] | Double blinded randomized clinical trial | RoB 2 | High | Small sample for being proof-of-concept |
| Brunoni AR et al., 2018. [18] | Clinical trial | RoB 2 | Moderate - high | Biomarkers as secondary outcome |
| Zou W et al., 2018. [19] | Longitudinal clinical study | NIH | Moderate | Causal inference limited Missing randomization |
| Song C et al., 2009 [20] | Comparative intervention study | RoB 2 | Moderate - low | Unclear method of assignment |
| Hernández ME et al., 2008. [21] | Follow-up longitudinal study | NIH | Moderate | No control randomized group |
| Wichers MC et al., 2006. [22] | Prospective cohort study | NIH | Moderate - high | Comparability between groups |
| Author and Year | Population Characteristics | Intervention or Exposition | Biomarkers Evaluated | Main Findings | Role of IL-10 (Direct or Inferred) | Relevance in TRD |
|---|---|---|---|---|---|---|
| Venable et al., 2025. [9] | n = 43; rural adults, mild to moderate symptoms of depression and anxiety | Blueberry supplementation vs. placebo | IL-1β, IL-6, TNF-α, IFN-γ, IL-10, CRP, metabolomics | It improved depressive and anxiety symptoms, but without significant changes in inflammatory cytokines, suggesting a clinical effect not clearly mediated by peripheral inflammation. | Measured directly; its stability suggests that IL-10 was not the primary mediator in this context, although it does not rule out a basal regulatory role. | Indirect relevance; it suggests that not all patients with TRD exhibit detectable inflammatory changes. |
| Savitz J et al., 2025. [10] | n = 70; adults, with subgroups based on baseline inflammation (low/high) | Inflammatory challenge with LPS vs. placebo | IL-6, IL-10, TNF, CRP, SHAPS, MADRS | Subjects with high baseline inflammation showed a greater increase in anhedonia and IL-6 following LPS administration, supporting a phenotype that is biologically sensitized to inflammation. | Measured directly; no significant differences were observed, suggesting that an inadequate anti-inflammatory response to the immune challenge may contribute to the persistence of the pro-inflammatory state. | High; identifies an inflammatory subgroup that is more susceptible to persistent symptoms, particularly anhedonia. |
| Merza Mohamm et al., 2024. [11] | n = 100; adults being treated with SSRIs | Citalopram + pentoxifylline vs. citalopram + placebo | IL-1β, TNF-α, PCR, IL-6, IL-10, serotonin, BDNF | Pentoxifylline increased response and remission rates and reduced pro-inflammatory markers, supporting its role as an immunomodulatory target in depression. | Measured directly; is integrated as restoration of the pro- and anti-inflammatory balance induced by the treatment. | High; supports the notion that inflammatory profiles can identify candidates for adjuvant strategies in cases of treatment resistance. |
| Nettis MA et al., 2023. [12] | n = 39; patients con TRD | Adjuvant Minocycline vs. placebo | CRP, TNF, IL-10, metabolites of the kynurenine pathway | The KYN/TRP coefficient was associated with CRP and IL-10 y con suicidal ideation; minocycline did not clearly alter metabolites over 4 weeks, although it showed a tendency to reduce suicidal ideation. | Measured directly; IL-10 was associated with activation of the kynurenine pathway, suggesting a dual compensatory/homeostatic role in persistent inflammation. | Very high; direct evidence in TRD with low-grade inflammation and supports an immune-related subtype. |
| Vaghef-ehrabani et al., 2023. [13] | n = 45; women with obesity and depression | Insulin + Calorie restriction vs. maltodextrin + calorie restriction | LPS, zonulin, TNF-α, IL-10, MCP-1, TLR-4, hs-CRP, BDNF | There were no significant differences in HDRS or inflammatory biomarkers, suggesting that short-term prebiotic intervention was not sufficient to reverse the inflammatory phenotype. | Measure directly; the lack of changes suggests that IL-10 may be resistant to short-term dietary interventions when obesity and depression coexist. | Moderate; relevant for metabolic-inflammatory subgroups with a higher potential risk of non-response. |
| Langhein M et al., 2022. [14] | n = 20; adults with depression | Ketamine; peripheral inflammation y free-water imaging before/after | Peripheral inflammatory markers + white matter neuroimaging | Suggested an association between peripheral inflammation and microstructural changes, as well as the potential predictive value of inflammation for the response to ketamine. | Inferred; IL-10 is thought to be part of the counter-regulatory axis, the effectiveness of which may modulate the relationship between peripheral inflammation and the immediate response. | High; supports the use of biomarkers for patient stratification in rapid-acting therapies for treatment-resistant depression. |
| Zhou Y et al., 2021. [15] | n = 66 TRD + 60 controls; subgroup con dolor | Six ketamine infusions | 19 cytokine panel, including IL-6, TNF-α, IL-10, GM-CSF | Patients with pain exhibited greater baseline inflammation and a better response/remission with ketamine; this improvement was accompanied by a broad reduction in cytokines, including IL-10. | Measured directly; its post-treatment decrease suggests that IL-10 may reflect a baseline compensatory activation that normalizes as inflammation resolves. | Very high; direct evidence in TRD and highlights the value of identifying inflammatory subgroups associated with pain. |
| Pérez-Sánchez G et al., 2018. [16] | n = 22 patients + 18 controls; adolescents | Fluoxetine during 8 weeks | IL-2, IFN-γ, IL-1β, TNF-α, IL-6, IL-12, IL-15, IL-4, IL-5, IL-13, IL-1Ra, IL-10 | Depressed adolescents showed elevated levels of multiple cytokines; during treatment, several pro-inflammatory mediators decreased, while IL-4 and IL-5 increased, although IL-10 was not among the most notable changes. | Measured directly; its less pronounced response suggests that anti-inflammatory regulation may be partial or dependent on the stage of treatment. | Moderate; useful for understanding early inflammation, although not a direct cause of TRD. |
| El-Haggar et al., 2018. [17] | n = 80; adults with moderate depression | Escitalopram + pentoxifylline vs. escitalopram + placebo | TNF-α, IL-6, IL-10, BDNF, 8-OHdG, serotonin | Pentoxifylline resulted in greater clinical improvement and a reduction in TNF-α, IL-6, and IL-10, along with an increase in BDNF and serotonin. | Measured directly; The decrease in IL-10, along with pro-inflammatory cytokines, suggests the normalization of a previously activated compensatory response. | High; supports the hypothesis of immunomodulation as an adjuvant strategy in patients with a poor response. |
| Brunoni AR et al., 2018. [18] | n = 236; adults in multiple treatment arms | tDCS vs. escitalopram vs. placebo | NGF, BDNF, GDNF, IL-1β, IL-6, IL-8, IL-10, IL-12p70, IL-18, IL-33, TNF-α, sTNFr1/2 | In general, biomarkers did not predict response; IL-10 levels decreased over time regardless of group or clinical response. | Measured directly; IL-10 functioned more as a nonspecific dynamic marker than as a differential predictor of response. | Moderate; suggests that isolated IL-10 may not distinguish TRD subgroups without being combined with other markers. |
| Zou W et al., 2018. [19] | n≈80; naïve patients | Baseline status without treatment | IL-1β, IL-6, IL-8, TNF-α, IL-10, TGF-β1 | Patients had elevated levels of IL-1β, TNF-α, and IL-10 compared with controls, supporting the notion of complex immune activation from the early stages of the disease. | Measured directly; elevated IL-10 suggests a compensatory response to pro-inflammatory activation rather than effective protection. | High—indirect; indicates an inflammatory subtype that is likely to progress to non-response. |
| Song C et al., 2009 [20] | n = 95 + 30 controls; adults | Electroacupuncture vs. fluoxetine vs. placebo | IL-1β, IL-10, cytokines Th1/Th2 | Elevated levels of IL-1β and decreased levels of IL-10 were observed in depression; the treatments tended to correct the pro-inflammatory/anti-inflammatory and Th1/Th2 imbalances. | Measured directly; low IL-10 levels served as an indicator of a loss of anti-inflammatory tone, consistent with sustained neuroinflammation. | High—indirect; a useful model for conceptualizing resistance associated with counter-regulatory failure. |
| Hernández ME et al., 2008. [21] | n = 31; adults undergoing long-term treatment | Treatment with SSRIs for 52 weeks | IL-1β, IL-10, IL-2, IFN-γ, IL-4, IL-13, cortisol | Before treatment, IL-10 and IL-4/IL-13 levels were elevated; with long-term follow-up, Th2 cytokines and IL-10 decreased, and only a partial restoration of the HPA-immune axis persisted. | Measured directly; elevated baseline IL-10 levels and their delayed decline suggest prolonged compensatory activation and incomplete resolution. | Moderate—high; illustrates that immune normalization can be slow and incomplete, a finding consistent with partial resistance. |
| Wichers MC et al., 2006. [22] | n = 16; patients receiving IFN-α without initial depression | Basal immune activation as an exposure | sIL-2R, IL-6, IL-10 | High baseline levels of immune activation, including IL-10, predicted the subsequent onset of depression during IFN-α treatment, supporting a causal role for the immune system. | Measured directly; elevated IL-10 is interpreted as a marker of prior immune activation and biological vulnerability, not necessarily of effective protection. | High; emphasizes that a baseline inflammatory phenotype may precede depression and potentially contribute to TRD. |
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Cortes-Altamirano, J.L.; Alfaro-Rodríguez, A.; González-Maciel, A.; Pérez-Guille, B.; Soriano-Rosales, R.E.; Bonilla-Jaime, H.; Ávila-Luna, A.; Bueno-Nava, A.; Sánchez-Aparicio, P.; Dotor-Llerena, A.L. Neuroimmune Dysregulation and the Role of IL-10 in Depression: A Systematic Review. Brain Sci. 2026, 16, 548. https://doi.org/10.3390/brainsci16060548
Cortes-Altamirano JL, Alfaro-Rodríguez A, González-Maciel A, Pérez-Guille B, Soriano-Rosales RE, Bonilla-Jaime H, Ávila-Luna A, Bueno-Nava A, Sánchez-Aparicio P, Dotor-Llerena AL. Neuroimmune Dysregulation and the Role of IL-10 in Depression: A Systematic Review. Brain Sciences. 2026; 16(6):548. https://doi.org/10.3390/brainsci16060548
Chicago/Turabian StyleCortes-Altamirano, José Luis, Alfonso Alfaro-Rodríguez, Angélica González-Maciel, Beatriz Pérez-Guille, Rosa Eugenia Soriano-Rosales, Herlinda Bonilla-Jaime, Alberto Ávila-Luna, Antonio Bueno-Nava, Pedro Sánchez-Aparicio, and Ana Lilia Dotor-Llerena. 2026. "Neuroimmune Dysregulation and the Role of IL-10 in Depression: A Systematic Review" Brain Sciences 16, no. 6: 548. https://doi.org/10.3390/brainsci16060548
APA StyleCortes-Altamirano, J. L., Alfaro-Rodríguez, A., González-Maciel, A., Pérez-Guille, B., Soriano-Rosales, R. E., Bonilla-Jaime, H., Ávila-Luna, A., Bueno-Nava, A., Sánchez-Aparicio, P., & Dotor-Llerena, A. L. (2026). Neuroimmune Dysregulation and the Role of IL-10 in Depression: A Systematic Review. Brain Sciences, 16(6), 548. https://doi.org/10.3390/brainsci16060548

