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Review

The Role of Type I Interferons in Tuberculosis and in Tuberculosis-Risk-Associated Comorbidities

1
Department of Medical Microbiology and Infectious Diseases, Max Rady College of Medicine, University of Manitoba, Room 543-745 Bannatyne Avenue, Winnipeg, MB R3E 0J9, Canada
2
Department of Medical Microbiology and Immunology, Kenyatta National Hospital Campus, University of Nairobi, Nairobi P.O. Box 30197-00100, Kenya
3
National Sexually Transmitted and Bloodborne Infections Laboratory Division, JC Wilt Infectious Diseases Research Centre, Public Health Agency of Canada, 1015 Arlington St, Winnipeg, MB R3E 3P6, Canada
*
Authors to whom correspondence should be addressed.
Infect. Dis. Rep. 2025, 17(4), 81; https://doi.org/10.3390/idr17040081
Submission received: 31 March 2025 / Revised: 20 June 2025 / Accepted: 1 July 2025 / Published: 8 July 2025

Abstract

The identification of a type I interferon-induced transcriptomic signature in active tuberculosis suggests a potential role for these interferons in the pathogenesis of tuberculosis. Comorbidities such as human immunodeficiency virus, diabetes, systemic lupus erythematosus, end-stage renal disease, and coronavirus disease are epidemiologically linked to an increased risk for reactivation of latent tuberculosis infection. Notably, type I interferons are also implicated in the pathogenesis of these conditions, with a recognizable type I interferon transcriptomic signature. The mechanisms by which type I interferons in tuberculosis-risk-associated comorbidities may drive the progression of tuberculosis or maintenance of latent infection however remain largely unknown. This review summarizes the existing literature on the increased association between type I interferons, focusing on interferon-α and -β, and the heightened risk of tuberculosis reactivation. It also underscores the similarities in the immunopathogenesis of these comorbidities. A better understanding of these mechanisms is essential to guide the development of host-directed interferon therapies and improving diagnostic biomarkers in M. tuberculosis infection.

1. Introduction

Tuberculosis (TB), caused by Mycobacterium tuberculosis, remains an infectious disease of significant health concern worldwide. Despite its identification as the causative agent of TB over 150 years ago, M. tuberculosis still causes more than 10 million active TB cases and over one million deaths annually [1]. TB is one of the top ten causes of death globally and one of the leading infectious causes of mortality [2].
The primary mode of transmission of infection is through inhalation of M. tuberculosis droplet nuclei, which has been shown to have several potential outcomes. These include clearance of the bacteria via an effective innate immune response, establishment of an asymptomatic latent TB infection (LTBI), or progression to symptomatic active TB [3,4,5,6]. The potential outcomes of LTBI include life-long infection without progression to active disease, referred to as LTBI or TB infection; incipient TB, a more recent addition in which viable bacilli alternate between periods of dormancy and periods of replication; subclinical disease, in which bacilli are viable in the absence of clinical symptoms; and reactivation to active disease, which often occurs in the event of immunosuppression, also referred to as TB disease [3,4,7,8].
M. tuberculosis is among the most successful human pathogens in terms of its ability to survive and even persist in the presence of a robust immune response [9]. However, despite significant advances in identifying some of the critical immune factors in infection, the understanding of the immunologic events that lead to maintaining LTBI in its dormant state or progressing to reactivation and active TB disease remains unclear. This understanding is of utmost importance for both predicting and preventing reactivation.
Approximately one-quarter of the world’s population has latent M. tuberculosis infection [10]. In this regard, individuals with LTBI represent a large reservoir with the potential for progression to active disease and an important target in the journey to meet the goals of the WHO End Tuberculosis strategy [11,12]. Immunocompetent individuals with LTBI have a 5% to 10% lifetime risk of reactivation to active disease, which increases in the presence of comorbidities that compromise the protective immunity to TB [13,14]. The highest increase in risk is observed in those with human immunodeficiency virus (HIV) infection, with a 10-fold or higher increase in risk; risk is also significantly increased among individuals with diabetes mellitus, rheumatic diseases, chronic kidney disease (CKD), and among patients taking immunosuppressive drugs (Table 1) [15,16,17,18,19].
The possible mechanisms by which these comorbidities, particularly HIV, drive progression to active TB have been widely investigated [20,21,22,23]. However, the host’s immune response to M. tuberculosis is complex and incompletely understood [24]. Recent interrogation of the transcriptomic profiles of M. tuberculosis-infected individuals has revealed a type I interferon (IFN)-driven gene signature in active TB, pointing to a role for type I IFN in M. tuberculosis disease progression [25,26,27,28,29]. Interestingly, these IFNs have also been linked to the pathogenesis of several autoimmune diseases and infections [30,31]. Further, research has revealed type I IFN-regulated molecular signatures in HIV [32,33], type I diabetes [34,35,36], rheumatic diseases [37,38], and coronavirus disease (COVID-19) [39]. Thus, a feature that is observed in active TB is also observed in diseases associated with an increased risk of progression to active TB. In this review, we present findings from the literature on the role of type I IFNs (IFN-α and IFN-β) in the risk of reactivation of TB, exploring the potential mechanisms by which type I IFNs in these diseases may drive TB reactivation.
Table 1. Incidence, risk, and type I IFN involvement of TB-associated comorbidities.
Table 1. Incidence, risk, and type I IFN involvement of TB-associated comorbidities.
Comorbidity Global Incidence TB RiskType I IFN-Driven Impacts
HIV/AIDS1.3 million new infections
(39.9 million people living with HIV) [40]
10–100-fold [17]Type I IFN signature, decline in systemic pDCs, immune activation, reduced T cell frequency and function
Diabetes (both T1D and T2D)588.7 million adults [41]2- to 4-fold [41]Early type I IFN signature, lymphocyte exhaustion, impaired T cell and macrophage function
SLE5.14 (1.4 to 15.13) per 100,000 person-years [42]6.11-fold [43,44]Type I IFN signature, reduced frequency and function of pDCs and macrophages, activation/IFN-driven inflammation
ESRD4.9–9.7 million [45]6.9- to 52.5-fold [46]Increased IFN-α expression
COVID-19/Long COVID777 million [47]1.34 [48]Type I IFN signature, activation/IFN-driven inflammation
Silicosis 138,971 [49]4.01 [50,51]IFN-driven inflammation
HIV/AIDS—human immunodeficiency virus/acquired immunodeficiency syndrome; T1D—type 1 diabetes; T2D—type 2 diabetes; SLE—systemic lupus erythematosus; ESRD—end-stage renal disease; COVID—coronavirus disease; pDC—plasmacytoid dendritic cell; IFN—interferon.

2. Type I IFNs and M. tuberculosis Infection

Type I IFNs are a family of cytokines that consist of IFN-α subtypes, -β, -ε, -k, and -ω. The primary cellular sources of type I IFNs are the innate immune cells, plasmacytoid dendritic cells (pDCs), and macrophages, through the type I IFN pathway. Plasmacytoid DCs (pDCs), the primary producers of type I IFNs, produce 1000-fold more of this IFN on recognition of viral pattern-associated molecular patterns (PAMPs) than that produced by other cells in similar infections [52].

2.1. M. tuberculosis-Specific Induction of Type I IFNs

The recognition of M. tuberculosis PAMPs by pattern recognition receptors (PRRs) on the cell surfaces (Toll-like receptor (TLR) 4; mannose receptors (MRs); scavenger receptors (SRs) such as the macrophage receptor with collagenous (MARCO) structure, macrophage scavenger receptor 1 (MSR1), and CD36; and complement receptors (CRs)) or intracellularly in the endosome (TLR7, TLR9, or internalized TLR4) initiates type I IFN production (Figure 1). Activation of cell surface receptors results in the internalization of the receptor into the endosome (TLR4) or in the phagocytosis and degradation of the bacilli (MR, SR, and CR). The latter process results in the release of ssRNA or dsDNA that are recognized by internally expressed TLR7/9. Subsequent secretion of IFN regulatory transcription factors, IRF3 and IRF7, leads to the production of IFN-α and IFN-β [53]. An alternative pathway to type I IFN production involves the DNA motifs, dsDNA, produced from bacterial degradation within phagosomes and released into the cytosol. The DNA is bound by cyclic guanosine monophosphate (GMP)–adenosine monophosphate (AMP) synthase (cGAS) and acts in converting ATP and GTP into cyclic GMP-AMP (cGAMP). cGAMP, a second messenger, binds to the stimulator of IFN genes (STING) located on the membrane of the endoplasmic reticulum, which moves STING to the Golgi apparatus, activating TANK-binding kinase 1 (TBK1) and IκB kinase (IKK). These enzymes activate IRF3 and IRF5, resulting in the production of type I IFNs [53].
The IFNs then bind to IFN-α receptor subunits (IFNAR1 and IFNAR2) and activate Janus kinase 1 (JAK1) and tyrosine kinase 1 (TYK1) to recruit the signal transducer and activator of transcription (STAT) molecules (Figure 1) [54]. The STAT molecules undergo phosphorylation by kinases, form dimers, and bind to IRF9, forming the IFN-stimulated gene factor 3 (ISGF3). This transcription factor complex translocates from the cytoplasm to the nucleus and binds to the IFN-stimulated response elements (ISREs). This binding results in the transcription of IFN-inducible gene expression, leading to the production of type I IFN-stimulated genes (ISGs), the effector molecules of the IFNs [54,55].

2.2. Role of Type I IFNs in M. tuberculosis Infection and Pathogenesis

Type I IFNs regulate the expression of a broad range of ISGs which can exert either protective or detrimental effects in the host [56]. A growing body of evidence supports this functional duality of type I IFNs. This is especially evident in viral infections, with antiviral effects observed during acute infections, but they may become immunosuppressive in the chronic phase [57]. In bacterial infections, type I IFNs also demonstrate context-dependent roles, with both beneficial and harmful outcomes reported [58,59]. Although most studies suggest a detrimental effect of type I IFNs in M. tuberculosis infection, evidence from mouse models indicates that this duality may also apply in TB, with both protective and pathogenic effects observed depending on the context [56,60,61].
In M. tuberculosis infection, the induction of type I IFNs by more virulent strains in comparison to less virulent strains and the dominance of type I IFNs and downstream genes in active TB suggest a pathogenic role [59]. Several mechanisms have been proposed for an immunomodulatory role of type I IFNs in M. tuberculosis infection [32,59]. The primary mechanism of pathogenesis of this is thought to be through the induction of an interleukin (IL)-10 anti-inflammatory response [59,62,63]. IL-10, a potent anti-inflammatory cytokine, suppresses and, therefore, impairs the protective Th1 immune responses in M. tuberculosis infection. In early infection, IL-10 has been shown to impair the capacity of differentiated T cells to migrate to the lung parenchyma. This leads to the accumulation of CD4+ T cells within the lung vasculature and a reduction in their numbers in the lung parenchyma, resulting in reduced bacterial antigen sensing. The result is increased bacterial proliferation and decreased clearance, leading to disease progression [64,65]. In addition, the IFNs inhibit the production of IL-12, tumour necrosis factor (TNF), and IL-1β in M. tuberculosis-infected human monocytes [59,66]. IL-1 is crucial for stimulating host resistance against M. tuberculosis by promoting prostaglandin E2 (PGE2) synthesis. Hence, the suppression of IL-1 by type I IFNs limits the production of this eicosanoid, eliminating the regulatory effects of PGE2 on type I IFNs [59,67]. TNF is known to drive the maturation of pDCs incapable of producing IFN-α; therefore, it is essential for controlling type I IFN production. The suppression of TNF production in diseases such as rheumatoid arthritis (RA), which requires anti-TNF treatment, disrupts this equilibrium, leading to the inhibition of DC maturation and the production of excessive amounts of IFN-α/β [68,69]. Type I IFNs also downregulate cell surface IFN-γ receptor (IFNGR) mRNA expression in macrophages, resulting in reduced responsiveness to IFN-γ, a protective cytokine that induces the killing function of macrophages to eliminate infectious pathogens [31,59,70,71,72,73]. Macrophages play a crucial role in controlling M. tuberculosis infection, via phagocytosis, intracellular killing, and antigen presentation. Type I IFNs show a paradoxical effect on macrophages in TB. The IFNs cause the death of M. tuberculosis-infected macrophages, resulting in the release of the bacilli and allowing for their replication, as well as driving immunopathology [74,75,76]. The IFNs also impair the function of macrophages in phagocytosis and intracellular killing of M. tuberculosis, enabling bacillary replication. Studies have shown that type I IFNs influence the polarization of macrophages from an M1 phenotype, which is crucial in controlling M. tuberculosis infection, to an M2 phenotype, driving disease progression [77,78]. The macrophage phenotype polarization appears to be related to the presence of IFN-γ. Conversely, in the absence of IFN-γ, type I IFNs inhibit the activation of M2 macrophages, playing a protective role in infection [60].
The various mechanisms by which type I IFNs modulate the immune response in M. tuberculosis infection support the notion that they play a crucial role in the pathogenesis of TB. This evidence culminates in the revealing of the IFN signature. Recent research has revealed the presence of a type I IFN-driven gene signature in active TB [25,26,27,28,79]. The term “IFN signature” is used to denote the expression of genes regulated by IFNs. This term is not exclusive to type I IFNs; type II and III IFNs also drive gene expression, and multiple IFNs may regulate similar genes [80]. Aside from its identification in active TB patients, the IFN signature has been shown to correlate with disease severity and to resolve with treatment, making it potentially useful for monitoring treatment response [28,81]. Further, a type I IFN transcriptomic signature has also demonstrated potential for predicting LTBI reactivation [82,83].

3. Type I IFNs and TB-Risk-Associated Comorbidities

Type I IFNs are pivotal in driving the pathogenesis of diseases that are known risk factors for TB reactivation in patients with comorbidities. Conditions such as HIV, diabetes, SLE, and other rheumatic diseases clearly illustrate this connection. Recognizing the impact of type I IFNs on these diseases empowers us to better address and manage the complexities of TB reactivation in affected patients.

3.1. TB and HIV

TB is a leading cause of death in people living with HIV [84], and HIV is the number one risk factor for LTBI reactivation [16]. TB-HIV co-infection is associated with an increase in morbidity and mortality compared to that caused by each pathogen individually [85]. The risk for developing active TB is approximately 15–21 times greater in HIV-infected individuals than in those uninfected; the risk is reported to be as high as 100 times greater when compared to the general population [17,86]. This risk increases as CD4+ T cell counts decline [87]. While this risk is reduced with the use of combination antiretroviral therapy (cART) and resulting immune reconstitution, it remains higher in HIV-infected individuals with controlled infection compared to HIV-uninfected individuals [88,89].

Type I IFNs in HIV

The interaction of HIV with pDCs in both acute and chronic HIV infection drives robust type I IFN production, which triggers the type I IFN signalling pathway [90,91]. In acute infection, type I IFNs produced by stimulation of pDCs play a protective role and primarily act by (i) suppressing viral replication and (ii) interfering with viral spread and survival, thereby controlling the infection [92,93,94]. HIV-infected macrophages in acute HIV infection also produce type I IFNs, which are involved in establishing HIV latency [95,96].
In contrast, during chronic infection, persistent pDC activation and type I IFN production show detrimental effects associated with inflammation and immune activation [97]. The persistent production of type I IFNs exhibits a desensitization effect characterized by defects in IFNα/β receptor expression, IFN-α signalling, and type I ISG expression, which favours increased systemic immune activation [98,99,100]. The desensitization effect is associated with increased HIV viral load and promotes HIV progression [101]. The direct relationship between the amount of ISGs and HIV viremia, as well as the inverse relationship between ISGs and CD4+ T cell counts, further supports this relationship [33]. Although the use of cART reduces HIV replication and viral load and is associated with improved CD4+ T cell counts, the expression of ISGs is not entirely reduced to the level of the uninfected [102]. In addition, persistent high-level type I IFN signalling and ISG expression has been observed in some patients on cART, which may impact recovery from immune activation, enhance viral persistence, and be responsible for maintaining viral reservoirs [102].
These type I IFN-driven dysfunctions may contribute to the increased risk of LTBI reactivation among HIV-positive individuals. The resulting heightened immune activation has been shown to ablate M. tuberculosis-specific T cell responses significantly, considered a key element of the protective immune response in LTBI (Figure 2) [98,103,104,105]. In individuals with LTBI, therefore, this type I IFN-rich environment may lead to reactivation and progression to active TB [28,82].
Further studies are needed to elucidate the role of type I IFNs in LTBI reactivation in patients with HIV co-infection to determine the effect of early cART initiation on the residual type I IFN response and to identify new opportunities to intervene and prevent LTBI reactivation.

3.2. TB and Diabetes

Although neglected for many years, the association between TB and diabetes has recently re-emerged as a problem due to the increasing prevalence of type 2 diabetes (T2D), especially in developing countries [106,107,108,109]. In 2019, an estimated 15% of adult active TB patients had concurrent diabetes [110,111,112,113]. The convergence of diabetes, LTBI, and active TB creates a storm that may lead to a co-epidemic; this presents an additional challenge to TB control programs, particularly in TB-endemic low- and middle-income countries (LMICs), where both TB and diabetes are endemic, and are resident to an estimated 70% of diabetics [114,115,116,117,118].
Diabetes is associated with a two- to four-fold risk of developing active TB compared to non-diabetic patients. Few studies report on the prevalence of diabetes subtypes, but recent studies have shown that approximately 90% of all diabetic cases are T2D, and 6% are type I diabetes (T1D) [119,120]. This may imply that most LTBI reactivation is associated with T2D, although most studies do not specifically distinguish whether the association is with T1D or T2D. However, there appears to be increased vulnerability for active TB with T1D compared to T2D [121]. The relationship between diabetes and TB is bidirectional; hyperglycemia in diabetes causes immune dysfunction, which hinders the immune response against M. tuberculosis, whereas TB and some anti-TB drugs are known to worsen glycemic control [122,123].

3.2.1. Type I IFNs in Diabetes

Type I Diabetes
There is a paucity of information on the role of type I IFN signalling and ISG profiling in metabolic diseases, but this is an area of growing interest in the field. The identification of increased production of IFN-α in the islet cells of the endocrine pancreas of T1D patients compared to those of non-diabetics was the first hint of a potential role for IFNs in the pathogenesis of T1D [124,125]. Subsequent studies in the early stages of T1D show that IFN-α correlates with the three characteristic features observed in pancreatic islet β cells: increased expression of HLA class 1, increased endoplasmic reticulum (ER) stress markers, and induced apoptosis of β cells [126,127]. These features lead to impaired insulin production observed in T1D. The ER stress regulates the production and sensing of IFN-α induced in response to infections and autoimmunity [128,129]. Increased expression of HLA-1 induces the production of autoantigens and activation of autoreactive cytotoxic CD8 T lymphocytes by B lymphocytes, leading to autoimmunity [127]. Type I IFN signalling in macrophages has also been shown to play a role in the development of diabetes through trafficking of T lymphocytes into the islets [130].
In line with increased Type I IFN production in the development of T1DM, viral infections, characterized by the production of type I IFNs, have also been associated with a predisposition to T1D; this association appears to be particularly strong with enteroviruses [131,132,133,134,135]. These data support the idea that type I IFN levels and increases in type I IFN signatures are essential in the pathogenic processing leading to the development of T1D. There is evidence of elevated levels and increased activity of type I IFNs in the blood and sera of T1D patients, with similar levels observed in both newly diagnosed and previously diagnosed patients [136,137]. This is further supported by the significantly higher quantities of pDCs observed in new-onset T1D patients compared to non-diabetic controls [138]; however, a similar comparison showed lower pDCs in recent-onset T1D patients [139].
In contrast, in established T1D, there is less evidence of sustained type I IFN production. This aligns with the slightly lower pDCs observed in the blood of long-standing T1D patients compared to non-diabetic controls [138,139,140]. Although the ISG signature is absent [35], type I IFN remains linked to several events that are sustained in advanced T1D, which include hyperexpression of HLA molecules on islet cells [141]. This promotes MHC I antigen presentation in pancreatic beta cells, enhancing their visibility to autoreactive CD8+ T cells, which may accelerate T1D progression [142,143]. This hyperexpression could lead to increased immune-mediated damage, further compromising β cell function and insulin secretion. Furthermore, elevated levels of type I IFNs during T1D are associated with lymphocyte exhaustion and increased PD-1 expression, which impairs T cell function and promotes autoimmunity [144]. Additionally, type I IFNs, specifically IFN-α, enhance the expression of PD-L1 on pancreatic β cells [145,146], which limits T cell activity and may contribute to β cell dysfunction. Increased expression of PD-1 in TB inhibits M. tuberculosis-specific CD4+ T cell function, macrophage phagocytosis, and intracellular killing contributing to TB reactivation [147].
In contrast to the persistence of the type I IFN transcriptomic signature observed in other IFN-related diseases, HIV and SLE (discussed below), the type I IFN-driven transcriptomic signature in blood from children with a genetic predisposition to T1D is present before the development of autoantibodies. However, the signature appears to resolve after the development of the disease and is therefore absent in established T1D [25,36,148]. Prospective cohort studies and cross-sectional studies suggest that type I IFNs may be involved in the establishment T1D in pre-diabetics [35,36,124]. Evaluation using a reporter cell assay revealed increased serum type I IFN activity in patients with established T1D compared to healthy controls [136]. However, this increased serum activity in diabetes does not appear to translate to the persistence of the IFN signature, which appears to resolve once diabetes develops [35]. A blood-specific signature may not be observed because type 1 diabetes (T1D) is an organ-specific disease, not a systemic one. There are limited human data to indicate a prolonged IFN signature in the blood; however, this is likely due to the compartmentalization of the disease within the islet cells.
Type 2 Diabetes
Similar to T1D, the type I IFN signature is also not observed in T2D. However, there is evidence of a role for type I IFNs in the pathogenesis of T2D. It is well known that increased inflammation is observed in T2D [149] and is linked to the activation of STING, the DNA-sensing stimulator of IFN genes, an essential component of the innate immune signalling pathway that governs inflammation-mediated T2D and links the inflammatory and type I IFN pathways [149]. Signalling through the cGAS–cGAMP–STING pathway is known to mediate type I IFN inflammatory responses [130]. Evidence suggests that the STING pathway plays a crucial role in regulating insulin sensitivity in T2D [150].
Type I IFNs play a complex role in the pathogenesis of T2D, influencing immune responses. As in other infections and disease states, their effects can be both protective and detrimental, depending on the context and specific IFN subtype involved. Type I IFNs can inhibit autoimmune processes, as observed in nonobese diabetic (NOD) mice, where specific subtypes reduce diabetes development by modulating the functions of immune cell [151]. Conversely, they can exacerbate T2D by inhibiting IL-10 signalling, which is crucial for regulating T cell responses and maintaining β cell health. This loss of regulation is key to the development of T2D [152]. Therefore, while type I IFNs can offer protective effects against autoimmune diabetes, their chronic presence and specific interactions with other cytokines can lead to detrimental outcomes. Additionally, type I IFNs are postulated to play a role in the dyslipidemia seen in T2D [153,154]. This lipid dysregulation has been shown to increase the risk of infection, including TB [155,156].
It remains unclear what exact role type I IFNs play in the increased susceptibility to TB in diabetic patients. The current literature suggests that type I IFNs in T1D, specifically IFN-α, either upregulate the PD-1/PD-L pathway or cause lipid dysregulation, impairing the immune response against M. tuberculosis (Figure 2). The PD-1/PD-L pathway regulates the activation of T cells, driving the cells toward an exhaustion phenotype. The reduced T cell function and inhibition of macrophage phagocytic and intracellular killing processes, which are essential for controlling M. tuberculosis infection, are likely links between T1D and an increased risk of LTBI reactivation (Figure 2). Further studies are required to pinpoint the drivers of TB in pre-diabetics and T1D and T2D in both adults and children, taking into consideration geographic and racial differences and comorbidities such as TB.

3.3. TB and Rheumatic Diseases

Rheumatic diseases are inflammatory and commonly autoimmune conditions that affect the musculoskeletal system but also cause systemic disease. These include diseases such as systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), and Sjögren’s syndrome (SS).

3.3.1. Type I IFNs in Rheumatic Diseases

Rheumatic diseases exhibit dysregulation of the type I IFN system, characterized by the presence of excess type I IFNs, driven by two factors: genetic variation and receptor activation [37]. Type I IFNs play a significant role in the pathogenesis and clinical management of various rheumatic diseases. Their multifaceted involvement influences immune responses, disease activity, and treatment outcomes. Similar to the other infections and disease states discussed already, in both SLE and RA, type I IFNs modulate immune responses, exacerbating inflammation and autoimmunity [157,158].

3.3.2. TB and SLE

SLE is a chronic autoimmune disease that affects multiple body systems. The pathogenesis of the disease involves the production of self-reactive autoantibodies to autoantigens, such as intracellular proteins and protein–nucleic acid complexes, leading to the formation of circulating immune complexes. The deposition of these complexes in tissues is responsible for damage to various organs, including the skin, kidneys, joints, and lungs [159]. Several studies have identified an increased risk for TB among SLE patients ranging from 5-fold to 15-fold higher risk [160,161,162].
Corticosteroids, including glucocorticoids, are commonly used for SLE and other autoimmune diseases. These drugs directly suppress inflammation [163], and treatment with these drugs alone puts these individuals at an increased risk of TB reactivation [14,17,18,164]. However, studies have also shown that patients with SLE have an increased risk of TB, even when analysis controls for glucocorticoid use. In a study of almost 2000 patients with rheumatic diseases receiving glucocorticoid treatments, patients with SLE had the highest rates of TB reactivation [165]. Similarly, it is likely that in multiple other autoimmune disorders, including Sjögren’s syndrome, myositis, systemic sclerosis, and rheumatoid arthritis, the linkage to type I IFNs in their pathogenesis is directly related to their increased risk for TB.
Type I IFNs in SLE
SLE is the prototypic type I IFN-driven disease, primarily driven by IFN-α [166]. Patients present with persistent type I IFN production and a prominent type I IFN-driven signature [167]. Prospective studies have demonstrated an association between this signature and clinical manifestations of SLE [168,169,170]. In addition, treating patients with flares with high-dose glucocorticoids, which block type I IFN production, ablates this signature [51].
Characteristic features of SLE include increased cell death through apoptosis, necrosis, and autophagy of immune cells [171,172]. Host nucleic acids released as a result induce the production of autoantibodies and the formation of immune complexes. These complexes stimulate pDCs to produce excessive amounts of type I IFNs, resulting in elevated cytokine levels in the sera of SLE patients.
Sera from SLE patients induce monocyte differentiation into DCs with enhanced antigen-presenting properties, which in turn cause the proliferation of CD4+ T cells, with differentiation primarily driven by IFN-α [173]. Other changes include overactivation of pDCs and myeloid DCs and modification of the chemokine receptor function affecting the migratory capacity of DCs [174,175].
The mechanisms by which SLE increases the risk of TB have not been studied, particularly the role of type I IFNs in a disease driven by IFNs. According to the literature, type I IFNs in SLE appear to reduce the number of macrophages and DCs, thereby impairing phagocytosis, antigen presentation, and cytokine production. These factors suppress the immune response against M. tuberculosis, creating an environment that is conducive to reactivation and progression of LTBI (Figure 2) [176,177,178,179,180]. However, the progression to TB in patients on IFN-α blockers also suggests that IFN-α may play a protective role. This warrants further investigation into the role of these IFNs in TB.

3.4. TB and Other TB Risk-Associated Comorbidities with Type I IFN Link

3.4.1. End-Stage Renal Disease (ESRD) and Chronic Kidney Disease (CKD)

There are multiple etiologies of ESRD and CKD, including HIV-associated nephropathy (HIVAN), diabetic nephropathy, and lupus nephritis associated with SLE [181,182]. With the increasing prevalence of diabetes globally, it has become one of the leading causes of ESRD in developed and developing countries [183]. ESRD is the last stage of chronic kidney disease (CKD)—renal failure that requires dialysis. Uremia in ESRD causes immune dysregulation, which predisposes patients to infection [184]. Patients with ESRD have a 6.9- to 52.5-fold higher risk of developing TB than the general population, independent of etiology [46,166,185,186]. The prevalence of LTBI in ESRD patients on dialysis ranges from 20% to 70% [46,168,169,170]. There is also evidence of increased risk for TB in CKD patients, even in those without the need for dialysis [187]. The role of type I IFNs in ESRD has not been clearly defined in all etiologies. However, increased IFN-α levels and expression of IFN-α mRNA in renal biopsies from patients with HIVAN [188] and lupus nephritis [176,189], respectively, suggest a role for type I IFNs in ESRD resulting from these comorbidities. Genes such as APOL1 expressed in HIVAN and lupus nephritis have also been observed in the pathogenic TB signature [177]. It, however, remains unclear whether type I IFNs play any role in the development of TB in diabetic nephropathy. Taken together, the evidence suggests that type I IFNs may play a role in the development of ESRD in HIV, diabetes, and SLE through mechanisms not yet defined. Furthermore, the role that IFNs may play in the development of TB in ESRD has also not been established.

3.4.2. Silicosis

This is an occupational lung disease caused by the inhalation of silica dust. It is a chronic disease with progressive lung inflammation that significantly increases the risk of TB and complicates its treatment and patient outcomes [51,190]. Results from a recent meta-analysis showed a pooled relative risk of TB in silicosis of 4.01 (95% CI: 2.88, 5.58) [51]. The evidence of this risk of TB appears to be in patients with and without a radiological diagnosis of silicosis, although the proof in the latter group of patients is uncertain [51]. Patients with silicotuberculosis show poor treatment outcomes compared to TB patients without silicosis and a higher risk of TB relapse and mortality [191]. In silicosis, exposure to silica particles causes the death of lung cells, resulting in the release of self-dsDNA, which activates a STING-dependent proinflammatory type I IFN response and induces the production of other proinflammatory cytokines [192,193]. Type I IFNs contribute to the characteristic chronic inflammation and fibrosis in the lung [192,193,194]. However, whether these type I IFN-induced effects are related to the risk of TB remains unknown.

3.4.3. COVID-19

During the COVID-19 pandemic, caused by the SARS-CoV-2 virus, which began in 2019, the disease surpassed TB as the leading cause of death from a single infectious agent, a trend that is now reversing [47]. While a reduction in TB transmission was reported during the pandemic, LTBI reactivation associated with COVID-19 cases was observed, particularly among patients with severe and long COVID-19 [195,196,197,198,199]. Type I IFNs are crucial for controlling SARS-CoV-2 replication during the early stages of infection. Increased IFN-α levels have been demonstrated in COVID-19 patients, particularly in those with severe and long COVID-19 [39,200,201], which may drive LTBI reactivation. However, some studies have reported low levels of type I IFNs but upregulation of ISGs in severe disease associated with delayed or weak IFN responses [196,202,203,204,205,206]. The administration of corticosteroids in severe COVID-19 was associated with good outcomes but was shown to suppress the levels of type I IFNs [207,208]. This type I IFN deficiency is thought to cause T cell exhaustion, particularly in patients with severe COVID-19, presenting another potential mechanism linking COVID-19 and TB reactivation [209,210]. Furthermore, the use of corticosteroids induces immunosuppressive effects that can lead to the reactivation of LTBI [211]. The effects of type I IFN administration in COVID-19 concerning LTBI have not been clearly defined. As a result, it remains uncertain whether the disease itself, the levels of type I IFN, the administration of type I IFNs, or the use of corticosteroids contributed to the reactivation of LTBI. Understanding the role of type I IFNs in the interactions between COVID-19 and TB reactivation is essential.

4. Perspectives and Research Opportunities

Infection with M. tuberculosis is associated with an annual incidence of more than 10 million cases of active TB and latently infects one in four people globally. The increasing global prevalence of HIV, diabetes, systemic lupus erythematosus (SLE), and end-stage renal disease (ESRD), as well as other comorbidities linked to a higher risk of LTBI reactivation and TB disease, present a significant challenge to TB control efforts. The various comorbidities that increase the risk of TB share a commonality of dysregulated type I IFN responses [212]. This link may reveal important clues to the pathogenesis of TB and lead to the discovery of new avenues to prevent TB reactivation.
Type I interferons (IFNs) play a complex and context-dependent role in TB progression. Numerous studies have identified type I IFN-driven gene expression signatures in active TB, often correlating with disease severity and treatment outcomes [25,26,27,28,29]. These findings suggest a potentially detrimental role for type I IFNs in TB infection and disease progression. Similar to active TB, transcriptional studies show a type I IFN signature persists in chronic HIV and SLE but is downregulated or resolves in established diabetes [35,92,213]. Other functional consequences of type I IFN dysregulation among these comorbidities that may contribute to enhanced TB disease progression include type I IFN-induced immune activation and sustained inflammation; decreased CD4+ T cell counts and impaired function; and reduced number and functionality of macrophages, pDCs, and conventional dendritic cells. These impairments affect key immune processes such as phagocytosis, antigen presentation, and cytokine production. Additionally, type I IFNs may suppress T cell responses, further weakening host defence mechanisms (Figure 2).
Furthermore, the effects of type I IFNs likely vary depending on the stage of the infection and the host’s immune status. While early type I IFNs may initially control M. tuberculosis—especially in the absence of IFN-γ—prolonged exposure may worsen disease outcomes [56,61]. Comorbidities that drive a type I IFN responses may further complicate this dynamic, potentially amplifying harmful immune effects. Additionally, the interplay between comorbidities adds another layer of complexity. For example, antiretroviral therapy use for HIV infection has been linked to metabolic abnormalities including as insulin resistance and T2D [214,215].

4.1. Research Priorities to Inform New Intervention Strategies

While disease-driving roles of type I IFNs have been characterized to varying degrees in numerous comorbidities associated with increased risk of TB disease, their specific effects in the context of M. tuberculosis infection remain underexplored. In particular, the influence of type I IFNs on LTBI reactivation, progression to active TB, or disease outcomes in the presence of IFN-driven comorbidities is not well defined. Addressing these knowledge gaps is critical to inform the development of host-directed therapies, improve strategies for preventing LTBI reactivation, and support the use of IFN-related biomarkers to identify individuals at highest risk for LTBI reactivation and inform targeted intervention strategies.
Although dysregulated type I IFN responses may promote TB reactivation, they also hold potential as therapeutic tools. Type I IFNs are currently being evaluated as immunomodulatory agents for host-directed therapy for M. tuberculosis infection. Clinical studies have shown that administration of INF-α, both aerosolized and subcutaneously, has demonstrated beneficial effects in patients with active TB [216,217]. Intramuscular IFN-α has also been shown to enhance the efficacy of BCG vaccination by promoting M. tuberculosis-specific Th1 responses in an in vivo infection model [218]. In a case report, a TB patient with diabetes who was unresponsive to first-line anti-TB treatment showed improvement following the addition of IFN-α-2a [219]. However, type I IFNs should be used cautiously, as treatment with IFN-α and IFN-β has been associated with kidney damage and conditions that may progress to ESRD [220,221,222].
This underscores the importance of monitoring of IFN levels during therapy. Interestingly, although type I IFN-inducible genes are significantly upregulated in active TB compared to healthy controls and LTBI, no significant difference is observed in the concentration of IFN-α and IFN-β between these groups [223]. This discrepancy highlights the limitations of conventional detection methods and underscores the need for more precise tools. Because direct measurement of type I IFNs is challenging, proxies such as ISG quantification and functional assays using functional reporter cell lines (e.g., WISH cells) have been employed [224]. Emerging technologies such as single molecule arrays (SIMOAs) that can give sub-femtomolar sensitivity [225] may soon provide more accurate measurements of type I IFNs in TB and comorbid conditions. These advances could pave the way for improved diagnostics, risk stratification, and therapeutic monitoring.

4.2. Concluding Remarks

In summary, we have discussed several comorbidities associated with increased TB risk that also involve dysregulated type I IFN responses in their pathogenesis. The impact of these type I IFNs on the increased risk of LTBI reactivation remains largely unknown and requires further investigation. Targeted treatment of LTBI in high-risk individuals—such as those with HIV, diabetes, chronic kidney disease, or undergoing immunosuppressive therapy—remains a cornerstone of TB control [18]. Improved biomarkers and a deeper understanding of IFN biology could significantly enhance the precision and effectiveness of these interventions.
Ultimately, integrating insights from immunology, clinical research, and emerging technologies will be key to unlocking the full potential of type I IFNs as both biomarkers and therapeutic targets in the global fight against TB.

Author Contributions

Conceptualization, S.K. and F.M.; writing—original draft preparation, F.M. and S.K.; writing—review and editing, F.M., S.K., R.-C.S. and T.B.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
APOL1Apolipoprotein 1
cARTCombination antiretroviral therapy
CDCluster of differentiation
cGAMPCyclic guanosine monophosphate–adenosine monophosphate
cGASCyclic guanosine monophosphate–adenosine monophosphate synthase
CKDChronic kidney disease
CRComplement receptors
DCDendritic cells
dsDNADouble-stranded deoxyribonucleic acid
EREndoplasmic reticulum
ESRDEnd-stage renal disease
HIVHuman immunodeficiency virus
HIVANHuman-immunodeficiency-virus-associated nephropathy
HLAHuman leukocyte antigen
IFNInterferon
IFNARInterferon alpha receptor
IFNGRInterferon gamma receptor
IGRAInterferon gamma release assays
IKKIκB kinase
ILInterleukin
IRFInterferon regulatory factor
ISGInterferon-stimulated genes
ISGFInterferon-stimulated gene factor
ISREInterferon-stimulated response element
JAKJanus kinase
LMICsLow- and middle-income countries
LTBILatent tuberculosis infection
MRMannose receptors
NODNonobese diabetic
PAMPPattern-associated molecular patterns
PD-1Programmed cell death protein 1
pDCPlasmacytoid dendritic cells
PD-L1Programmed death-ligand 1
PGE2Prostaglandin E2
PRRPattern recognition receptor
RARheumatoid arthritis
RLRRetinoic-acid-inducible gene I (RIG-I)-like receptors
SIMOASingle molecule array
SLESystemic lupus erythematosus
SRScavenger receptor
SSSjögren’s syndrome
ssRNASingle-stranded ribonucleic acid
STATSignal transducer and activator of transcription
STINGStimulator of interferon genes
T1DType 1 diabetes
T2DType 2 diabetes
TBTuberculosis
TBK1TANK-binding kinase 1
TLRToll-like receptor
TNFTumour necrosis factor
TSTTuberculin skin test
TYKTyrosine kinase
WHOWorld Health Organization
WISHWistar Institute Susan Hayflick (a cell line)

References

  1. The World Health Organization (WHO). World Health Organization Global Tuberculosis Report 2023; The World Health Organization (WHO): Geneva, Switzerland, 2023. [Google Scholar]
  2. The World Health Organization (WHO). World Health Organization Global Tuberculosis Report 2024; The World Health Organization (WHO): Geneva, Switzerland, 2024. [Google Scholar]
  3. World Health Organization. WHO: Operational Handbook on Tuberculosis; World Health Organization: Geneva, Switzerland, 2020; ISBN 9789240001503. [Google Scholar]
  4. Migliori, G.B.; Ong, C.W.M.; Petrone, L.; D’ambrosio, L.; Centis, R.; Goletti, D. The Definition of Tuberculosis Infection Based on the Spectrum of Tuberculosis Disease. Breathe 2021, 17, 210079. [Google Scholar] [CrossRef] [PubMed]
  5. O’Garra, A.; Redford, P.S.; McNab, F.W.; Bloom, C.I.; Wilkinson, R.J.; Berry, M.P.R. The Immune Response in Tuberculosis. Annu. Rev. Immunol. 2013, 31, 475–527. [Google Scholar] [CrossRef] [PubMed]
  6. Barry, C.E.; Boshoff, H.; Dartois, V.; Dick, T.; Ehrt, S.; Flynn, J.; Schnappinger, D.; Wilkinson, R.J.; Young, D. The Spectrum of Latent Tuberculosis: Rethinking the Goals of Prophylaxis. Nat. Rev. Microbiol. 2009, 7, 845–855. [Google Scholar] [CrossRef]
  7. Verrall, A.J.; Netea, M.G.; Alisjahbana, B.; Hill, P.C.; van Crevel, R. Early Clearance of Mycobacterium tuberculosis: A New Frontier in Prevention. Immunology 2014, 141, 506–513. [Google Scholar] [CrossRef] [PubMed]
  8. Campbell, J.R.; Pease, C.; Daley, P.; Pai, M.; Menzies, D. Chapter 4: Diagnosis of Tuberculosis Infection. Can. J. Respir. Crit. Care Sleep. Med. 2022, 6, 49–65. [Google Scholar] [CrossRef]
  9. Hingley-Wilson, S.M.; Sambandamurthy, V.K.; Jacobs, W.R. Survival Perspectives from the World’s Most Successful Pathogen, Mycobacterium tuberculosis. Nat. Immunol. 2003, 4, 949–955. [Google Scholar] [CrossRef]
  10. Houben, R.M.G.J.; Dodd, P.J. The Global Burden of Latent Tuberculosis Infection: A Re-Estimation Using Mathematical Modelling. PLoS Med. 2016, 13, e1002152. [Google Scholar] [CrossRef]
  11. World Health Organization. The End TB Strategy. Available online: https://www.who.int/publications/m/item/the-end-tb-strategy-brochure (accessed on 7 September 2024).
  12. Cobelens, F.; Kik, S.; Esmail, H.; Cirillo, D.M.; Lienhardt, C.; Matteelli, A. From Latent to Patent: Rethinking Prediction of Tuberculosis. Lancet Respir. Med. 2017, 5, 243–244. [Google Scholar] [CrossRef]
  13. World Health Organization. Global Tuberculosis Report. 2017. Available online: https://reliefweb.int/sites/reliefweb.int/files/resources/9789241565516-eng.pdf (accessed on 10 September 2024).
  14. Shah, M.; Dorman, S.E. Latent Tuberculosis Infection. N. Engl. J. Med. 2021, 385, 2271–2280. [Google Scholar] [CrossRef]
  15. World Health Organization. Global Tuberculosis Report 2018; World Health Organization: Geneva, Switzerland, 2018. [Google Scholar]
  16. Corbett, E.L.; Watt, C.J.; Walker, N.; Maher, D.; Williams, B.G.; Raviglione, M.C.; Dye, C. The Growing Burden of Tuberculosis: Global Trends and Interactions with the HIV Epidemic. Arch. Intern. Med. 2003, 163, 1009–1021. [Google Scholar] [CrossRef]
  17. Ai, J.; Ruan, Q.; Liu, Q.; Zhang, W. Updates on the Risk Factors for Latent Tuberculosis Reactivation and Their Managements. Emerg. Microbes Infect. 2016, 5, e10. [Google Scholar] [CrossRef] [PubMed]
  18. Public Health Agency of Canada. Canadian Tuberculosis Standards Chapter 6: Treatment of Latent Tuberculosis Infection; Public Health Agency of Canada: Ottawa, ON, Canada, 2014; ISBN 9781100231716. [Google Scholar]
  19. Narasimhan, P.; Wood, J.; MacIntyre, C.R.; Mathai, D. Risk Factors for Tuberculosis. Pulm. Med. 2013, 2013, 828939. [Google Scholar] [CrossRef] [PubMed]
  20. Chai, Q.; Zhang, Y.; Liu, C.H. Mycobacterium tuberculosis: An Adaptable Pathogen Associated with Multiple Human Diseases. Front. Cell. Infect. Microbiol. 2018, 8, 158. [Google Scholar] [CrossRef] [PubMed]
  21. Scriba, T.J.; Coussens, A.K.; Fletcher, H.A. Human Immunology of Tuberculosis. Microbiol. Spectr. 2017, 5. [Google Scholar] [CrossRef]
  22. Sia, J.K.; Rengarajan, J. Immunology of Mycobacterium tuberculosis Infections. Microbiol. Spectr. 2019, 7. [Google Scholar] [CrossRef]
  23. Ronacher, K.; Joosten, S.A.; van Crevel, R.; Dockrell, H.M.; Walzl, G.; Ottenhoff, T.H.M. Acquired Immunodeficiencies and Tuberculosis: Focus on HIV/AIDS and Diabetes Mellitus. Immunol. Rev. 2015, 264, 121–137. [Google Scholar] [CrossRef]
  24. de Martino, M.; Lodi, L.; Galli, L.; Chiappini, E. Immune Response to Mycobacterium tuberculosis: A Narrative Review. Front. Pediatr. 2019, 7, 350. [Google Scholar] [CrossRef]
  25. Blankley, S.; Graham, C.M.; Turner, J.; Berry, M.P.; Bloom, C.I.; Xu, Z.; Pascual, V.; Banchereau, J.; Chaussabel, D.; Breen, R.; et al. The Transcriptional Signature of Active Tuberculosis Reflects Symptom Status in Extra-Pulmonary and Pulmonary Tuberculosis. PLoS ONE 2016, 11, e0162220. [Google Scholar] [CrossRef]
  26. Joosten, S.A.; Fletcher, H.A.; Ottenhoff, T.H.M. A Helicopter Perspective on TB Biomarkers: Pathway and Process Based Analysis of Gene Expression Data Provides New Insight into TB Pathogenesis. PLoS ONE 2013, 8, e73230. [Google Scholar] [CrossRef]
  27. Ottenhoff, T.H.M.; Dass, R.H.; Yang, N.; Zhang, M.M.; Wong, H.E.E.; Sahiratmadja, E.; Khor, C.C.; Alisjahbana, B.; van Crevel, R.; Marzuki, S.; et al. Genome-Wide Expression Profiling Identifies Type 1 Interferon Response Pathways in Active Tuberculosis. PLoS ONE 2012, 7, e45839. [Google Scholar] [CrossRef]
  28. Berry, M.P.R.; Graham, C.M.; McNab, F.W.; Xu, Z.; Bloch, S.A.A.; Oni, T.; Wilkinson, K.A.; Banchereau, R.; Skinner, J.; Wilkinson, R.J.; et al. An Interferon-Inducible Neutrophil-Driven Blood Transcriptional Signature in Human Tuberculosis. Nature 2010, 466, 973–977. [Google Scholar] [CrossRef] [PubMed]
  29. Blankley, S.; Graham, C.M.; Levin, J.; Turner, J.; Berry, M.P.R.; Bloom, C.I.; Xu, Z.; Pascual, V.; Banchereau, J.; Chaussabel, D.; et al. A 380-Gene Meta-Signature of Active Tuberculosis Compared with Healthy Controls. Eur. Respir. J. 2016, 47, 1873–1876. [Google Scholar] [CrossRef] [PubMed]
  30. Di Domizio, J.; Cao, W. Fueling Autoimmunity: Type I Interferon in Autoimmune Diseases. Expert. Rev. Clin. Immunol. 2013, 9, 201–210. [Google Scholar] [CrossRef] [PubMed]
  31. Trinchieri, G. Type I Interferon: Friend or Foe? J. Exp. Med. 2010, 207, 2053–2063. [Google Scholar] [CrossRef]
  32. Darboe, F.; Mbandi, S.K.; Naidoo, K.; Yende-Zuma, N.; Lewis, L.; Thompson, E.G.; Duffy, F.J.; Fisher, M.; Filander, E.; van Rooyen, M.; et al. Detection of Tuberculosis Recurrence, Diagnosis and Treatment Response by a Blood Transcriptomic Risk Signature in HIV-Infected Persons on Antiretroviral Therapy. Front. Microbiol. 2019, 10, 1441. [Google Scholar] [CrossRef]
  33. Chang, J.J.; Woods, M.; Lindsay, R.J.; Doyle, E.H.; Griesbeck, M.; Chan, E.S.; Robbins, G.K.; Bosch, R.J.; Altfeld, M. Higher Expression of Several Interferon-Stimulated Genes in HIV-1-Infected Females after Adjusting for the Level of Viral Replication. J. Infect. Dis. 2013, 208, 830–838. [Google Scholar] [CrossRef]
  34. Prada-Medina, C.A.; Fukutani, K.F.; Kumar, N.P.; Gil-Santana, L.; Babu, S.; Lichtenstein, F.; West, K.; Sivakumar, S.; Menon, P.A.; Viswanathan, V.; et al. Systems Immunology of Diabetes-Tuberculosis Comorbidity Reveals Signatures of Disease Complications. Sci. Rep. 2017, 7, 1999. [Google Scholar] [CrossRef]
  35. Ferreira, R.C.; Guo, H.; Coulson, R.M.R.; Smyth, D.J.; Pekalski, M.L.; Burren, O.S.; Cutler, A.J.; Doecke, J.D.; Flint, S.; McKinney, E.F.; et al. A Type I Interferon Transcriptional Signature Precedes Autoimmunity in Children Genetically at Risk for Type 1 Diabetes. Diabetes 2014, 63, 2538–2550. [Google Scholar] [CrossRef]
  36. Kallionpää, H.; Elo, L.L.; Laajala, E.; Mykkänen, J.; Ricaño-Ponce, I.; Vaarma, M.; Laajala, T.D.; Hyöty, H.; Ilonen, J.; Veijola, R.; et al. Innate Immune Activity Is Detected Prior to Seroconversion in Children with HLA-Conferred Type 1 Diabetes Susceptibility. Diabetes 2014, 63, 2402–2414. [Google Scholar] [CrossRef]
  37. Muskardin, T.L.W.; Niewold, T.B. Type i Interferon in Rheumatic Diseases. Nat. Rev. Rheumatol. 2018, 14, 214–228. [Google Scholar] [CrossRef]
  38. Higgs, B.W.; Liu, Z.; White, B.; Zhu, W.; White, W.I.; Morehouse, C.; Brohawn, P.; Kiener, P.A.; Richman, L.; Fiorentino, D.; et al. Patients with Systemic Lupus Erythematosus, Myositis, Rheumatoid Arthritis and Scleroderma Share Activation of a Common Type I Interferon Pathway. Ann. Rheum. Dis. 2011, 70, 2029–2036. [Google Scholar] [CrossRef]
  39. Kim, M.H.; Salloum, S.; Wang, J.Y.; Wong, L.P.; Regan, J.; Lefteri, K.; Manickas-Hill, Z.; Gao, C.; Li, J.Z.; Sadreyev, R.I.; et al. Type I, II, and III Interferon Signatures Correspond to Coronavirus Disease 2019 Severity. J. Infect. Dis. 2021, 224, 777–782. [Google Scholar] [CrossRef] [PubMed]
  40. UNAIDS The Urgency of Now: AIDS at a Crossroads. Geneva Jt. United Nations Program. HIV/AIDS. 2024. Available online: https://www.unaids.org/en/resources/documents/2024/global-aids-update-2024 (accessed on 16 June 2025).
  41. Sun, H.; Saeedi, P.; Karuranga, S.; Pinkepank, M.; Ogurtsova, K.; Duncan, B.B.; Stein, C.; Basit, A.; Chan, J.C.N.; Mbanya, J.C.; et al. IDF Diabetes Atlas: Global, Regional and Country-Level Diabetes Prevalence Estimates for 2021 and Projections for 2045. Diabetes Res. Clin. Pract. 2022, 183, 109119. [Google Scholar] [CrossRef] [PubMed]
  42. Fatoye, F.; Gebrye, T.; Mbada, C. Global and Regional Prevalence and Incidence of Systemic Lupus Erythematosus in Low-and-Middle Income Countries: A Systematic Review and Meta-Analysis. Rheumatol. Int. 2022, 42, 2097–2107. [Google Scholar] [CrossRef]
  43. Tian, J.; Zhang, D.; Yao, X.; Huang, Y.; Lu, Q. Global Epidemiology of Systemic Lupus Erythematosus: A Comprehensive Systematic Analysis and Modelling Study. Ann. Rheum. Dis. 2023, 82, 351–356. [Google Scholar] [CrossRef]
  44. María Pego-Reigosa, J.; Nicholson, L.; Pooley, N.; Langham, S.; Embleton, N.; Marjenberg, Z.; Barut, V.; Desta, B.; Wang, X.; Langham, J.; et al. The Risk of Infections in Adult Patients with Systemic Lupus Erythematosus: Systematic Review and Meta-Analysis. Rheumatology 2021, 60, 60–72. [Google Scholar] [CrossRef]
  45. Lv, J.C.; Zhang, L.X. Renal Fibrosis: Mechanisms and Therapies. Adv. Exp. Med. Biol. 2019, 1165, 3–15. [Google Scholar] [CrossRef]
  46. Hussein, M.M.; Mooij, J.M.; Roujouleh, H. Tuberculosis and Chronic Renal Disease. Semin. Dial. 2003, 16, 38–44. [Google Scholar] [CrossRef]
  47. World Health Organization. WHO Coronavirus (COVID-19) Dashboard|WHO Coronavirus (COVID-19) Dashboard with Vaccination Data. Available online: https://covid19.who.int/ (accessed on 15 September 2022).
  48. Al-Aly, Z.; Davis, H.; McCorkell, L.; Soares, L.; Wulf-Hanson, S.; Iwasaki, A.; Topol, E.J. Long COVID Science, Research and Policy. Nat. Med. 2024, 30, 2148–2164. [Google Scholar] [CrossRef]
  49. Huang, X.; Liang, R.; Liu, Y.; Yu, L.; Yang, M.; Shang, B.; Zhang, H.; Ma, J.; Chen, W.; Wang, D. Incidence, Mortality, and Disability-Adjusted Life Years Due to Silicosis Worldwide, 1990–2019: Evidence from the Global Burden of Disease Study 2019. Environ. Sci. Pollut. Res. 2024, 31, 36910–36924. [Google Scholar] [CrossRef]
  50. Jamshidi, P.; Danaei, B.; Arbabi, M.; Mohammadzadeh, B.; Khelghati, F.; Akbari Aghababa, A.; Nayebzade, A.; Shahidi Bonjar, A.H.; Centis, R.; Sotgiu, G.; et al. Silicosis and Tuberculosis: A Systematic Review and Meta-Analysis. Pulmonology 2023, 31, 2416791. [Google Scholar] [CrossRef] [PubMed]
  51. Ehrlich, R.; Akugizibwe, P.; Siegfried, N.; Rees, D. The Association between Silica Exposure, Silicosis and Tuberculosis: A Systematic Review and Meta-Analysis. BMC Public Health 2021, 21, 953. [Google Scholar] [CrossRef] [PubMed]
  52. Siegal, F.P.; Kadowaki, N.; Shodell, M.; Fitzgerald-Bocarsly, P.A.; Shah, K.; Ho, S.; Antonenko, S.; Liu, Y.J. The Nature of the Principal Type 1 Interferon-Producing Cells in Human Blood. Science 1999, 284, 1835–1837. [Google Scholar] [CrossRef]
  53. Mundra, A.; Yegiazaryan, A.; Karsian, H.; Alsaigh, D.; Bonavida, V.; Frame, M.; May, N.; Gargaloyan, A.; Abnousian, A.; Venketaraman, V. Pathogenicity of Type I Interferons in Mycobacterium tuberculosis. Int. J. Mol. Sci. 2023, 24, 3919. [Google Scholar] [CrossRef]
  54. Schreiber, G. The Molecular Basis for Differential Type i Interferon Signaling. J. Biol. Chem. 2017, 292, 7285–7294. [Google Scholar] [CrossRef]
  55. Ivashkiv, L.B.; Donlin, L.T. Regulation of Type I Interferon Responses. Nat. Rev. Immunol. 2014, 14, 36–49. [Google Scholar] [CrossRef]
  56. Moreira-Teixeira, L.; Mayer-Barber, K.; Sher, A.; O’Garra, A. Type I Interferons in Tuberculosis: Foe and Occasionally Friend. J. Exp. Med. 2018, 215, 1273–1285. [Google Scholar] [CrossRef]
  57. Lee, A.J.; Ashkar, A.A. The Dual Nature of Type I and Type II Interferons. Front. Immunol. 2018, 9, 2061. [Google Scholar] [CrossRef]
  58. Yang, E.; Li, M.M.H. All About the RNA: Interferon-Stimulated Genes That Interfere with Viral RNA Processes. Front. Immunol. 2020, 11, 3195. [Google Scholar] [CrossRef]
  59. Boxx, G.M.; Cheng, G. The Roles of Type I Interferon in Bacterial Infection. Cell Host Microbe 2016, 19, 760–769. [Google Scholar] [CrossRef]
  60. Moreira-Teixeira, L.; Sousa, J.; McNab, F.W.; Torrado, E.; Cardoso, F.; Machado, H.; Castro, F.; Cardoso, V.; Gaifem, J.; Wu, X.; et al. Type I IFN Inhibits Alternative Macrophage Activation during Mycobacterium tuberculosis Infection and Leads to Enhanced Protection in the Absence of IFN-γ Signaling. J. Immunol. 2016, 197, 4714–4726. [Google Scholar] [CrossRef] [PubMed]
  61. Desvignes, L.; Wolf, A.J.; Ernst, J.D. Dynamic Roles of Type I and Type II Interferons in Early Infection with Mycobacterium tuberculosis. J. Immunol. 2013, 188, 6205–6215. [Google Scholar] [CrossRef] [PubMed]
  62. Redford, P.S.; Mayer-Barber, K.D.; McNab, F.W.; Stavropoulos, E.; Wack, A.; Sher, A.; O’Garra, A. Influenza A Virus Impairs Control of Mycobacterium tuberculosis Coinfection through a Type I Interferon Receptor-Dependent Pathway. J. Infect. Dis. 2014, 209, 270–274. [Google Scholar] [CrossRef]
  63. Manca, C.; Tsenova, L.; Bergtold, A.; Freeman, S.; Tovey, M.; Musser, J.M.; Barry Iii, C.E.; Freedman, V.H.; Kaplan, G. Virulence of a Mycobacterium tuberculosis Clinical Isolate in Mice Is Determined by Failure to Induce Th1 Type Immunity and Is Associated with Induction of IFN-α/β. Proc. Natl. Acad. Sci. USA 2001, 98, 5752–5757. [Google Scholar] [CrossRef]
  64. Ferreira, C.M.; Barbosa, A.M.; Barreira-Silva, P.; Silvestre, R.; Cunha, C.; Carvalho, A.; Rodrigues, F.; Correia-Neves, M.; Castro, A.G.; Torrado, E. Early IL-10 Promotes Vasculature-Associated CD4+ T Cells Unable to Control Mycobacterium tuberculosis Infection. JCI Insight 2021, 6, e150060. [Google Scholar] [CrossRef]
  65. Wong, E.A.; Evans, S.; Kraus, C.R.; Engelman, K.D.; Maiello, P.; Flores, W.J.; Cadena, A.M.; Klein, E.; Thomas, K.; White, A.G.; et al. IL-10 Impairs Local Immune Response in Lung Granulomas and Lymph Nodes during Early Mycobacterium tuberculosis Infection. J. Immunol. 2020, 204, 644–659. [Google Scholar] [CrossRef]
  66. Makris, S.; Paulsen, M.; Johansson, C. Type I Interferons as Regulators of Lung Inflammation. Front. Immunol. 2017, 8, 259. [Google Scholar] [CrossRef]
  67. Mayer-Barber, K.D.; Andrade, B.B.; Oland, S.D.; Amaral, E.P.; Barber, D.L.; Gonzales, J.; Derrick, S.C.; Shi, R.; Kumar, N.P.; Wei, W.; et al. Host-Directed Therapy of Tuberculosis Based on Interleukin-1 and Type I Interferon Crosstalk. Nature 2014, 511, 99–103. [Google Scholar] [CrossRef]
  68. Conrad, C.; Di Domizio, J.; Mylonas, A.; Belkhodja, C.; Demaria, O.; Navarini, A.A.; Lapointe, A.-K.; French, L.E.; Vernez, M.; Gilliet, M. TNF Blockade Induces a Dysregulated Type I Interferon Response without Autoimmunity in Paradoxical Psoriasis. Nat. Commun. 2018, 9, 25. [Google Scholar] [CrossRef]
  69. Kadowaki, N.; Antonenko, S.; Lau, J.Y.; Liu, Y.J. Natural Interferon Alpha/Beta-Producing Cells Link Innate and Adaptive Immunity. J. Exp. Med. 2000, 192, 219–226. [Google Scholar] [CrossRef]
  70. de Paus, R.A.; van Wengen, A.; Schmidt, I.; Visser, M.; Verdegaal, E.M.; van Dissel, J.T.; van de Vosse, E. Inhibition of the Type I Immune Responses of Human Monocytes by IFN-α and IFN-β. Cytokine 2013, 61, 645–655. [Google Scholar] [CrossRef] [PubMed]
  71. Eshleman, E.M.; Lenz, L.L. Type I Interferons in Bacterial Infections: Taming of Myeloid Cells and Possible Implications for Autoimmunity. Front. Immunol. 2014, 5, 431. [Google Scholar] [CrossRef] [PubMed]
  72. Eshleman, E.M.; Delgado, C.; Kearney, S.J.; Friedman, R.S.; Lenz, L.L. Down Regulation of Macrophage IFNGR1 Exacerbates Systemic L. Monocytogenes Infection. PLoS Pathog. 2017, 13, e1006388. [Google Scholar] [CrossRef]
  73. Rayamajhi, M.; Humann, J.; Kearney, S.; Hill, K.K.; Lenz, L.L. Antagonistic Crosstalk between Type I and II Interferons and Increased Host Susceptibility to Bacterial Infections. Virulence 2010, 1, 418–422. [Google Scholar] [CrossRef]
  74. Zhang, L.; Jiang, X.; Pfau, D.; Ling, Y.; Nathan, C.F. Type I Interferon Signaling Mediates Mycobacterium tuberculosis–Induced Macrophage Death. J. Exp. Med. 2021, 218, e20200887. [Google Scholar] [CrossRef]
  75. Kotov, D.I.; Lee, O.V.; Fattinger, S.A.; Langner, C.A.; Guillen, J.V.; Peters, J.M.; Moon, A.; Burd, E.M.; Witt, K.C.; Stetson, D.B.; et al. Early Cellular Mechanisms of Type I Interferon-Driven Susceptibility to Tuberculosis. Cell 2023, 186, 5536–5553.e22. [Google Scholar] [CrossRef]
  76. Lee, A.M.; Nathan, C.F. Type I Interferon Exacerbates Mycobacterium tuberculosis Induced Human Macrophage Death. EMBO Rep. 2024, 25, 3064. [Google Scholar] [CrossRef]
  77. Benard, A.; Sakwa, I.; Schierloh, P.; Andr’, A.; Colom, A.; Mercier, I.; Tailleux, L.; Jouneau, L.; Boudinot, P.; Al-Saati, T.; et al. B Cells Producing Type I IFN Modulate Macrophage Polarization in Tuberculosis. Am. J. Respir. Crit. Care Med. 2018, 197, 801–813. [Google Scholar] [CrossRef]
  78. Wang, J.; Hussain, T.; Zhang, K.; Liao, Y.; Yao, J.; Song, Y.; Sabir, N.; Cheng, G.; Dong, H.; Li, M.; et al. Inhibition of Type i Interferon Signaling Abrogates Early Mycobacterium Bovis Infection. BMC Infect. Dis. 2019, 19, 1031. [Google Scholar] [CrossRef]
  79. Maertzdorf, J.; Repsilber, D.; Parida, S.K.; Stanley, K.; Roberts, T.; Black, G.; Walzl, G.; Kaufmann, S.H.E. Human Gene Expression Profiles of Susceptibility and Resistance in Tuberculosis. Genes Immun. 2011, 12, 15–22. [Google Scholar] [CrossRef]
  80. Jean-Baptiste, V.S.E.; Xia, C.Q.; Clare-Salzler, M.J.; Horwitz, M.S. Type 1 Diabetes and Type 1 Interferonopathies: Localization of a Type 1 Common Thread of Virus Infection in the Pancreas. EBioMedicine 2017, 22, 10–17. [Google Scholar] [CrossRef] [PubMed]
  81. Bloom, C.I.; Graham, C.M.; Berry, M.P.R.; Wilkinson, K.A.; Oni, T.; Rozakeas, F.; Xu, Z.; Rossello-Urgell, J.; Chaussabel, D.; Banchereau, J.; et al. Detectable Changes in The Blood Transcriptome Are Present after Two Weeks of Antituberculosis Therapy. PLoS ONE 2012, 7, e46191. [Google Scholar] [CrossRef] [PubMed]
  82. Zak, D.E.; Penn-Nicholson, A.; Scriba, T.J.; Thompson, E.; Suliman, S.; Amon, L.M.; Mahomed, H.; Erasmus, M.; Whatney, W.; Hussey, G.D.; et al. A Blood RNA Signature for Tuberculosis Disease Risk: A Prospective Cohort Study. Lancet 2016, 387, 2312–2322. [Google Scholar] [CrossRef] [PubMed]
  83. Scriba, T.J.; Penn-Nicholson, A.; Shankar, S.; Hraha, T.; Thompson, E.G.; Sterling, D.; Nemes, E.; Darboe, F.; Suliman, S.; Amon, L.M.; et al. Sequential Inflammatory Processes Define Human Progression from M. Tuberculosis Infection to Tuberculosis Disease. PLoS Pathog. 2017, 13, e1006687. [Google Scholar] [CrossRef]
  84. World Health Organization. Tuberculosis. Available online: https://www.who.int/en/news-room/fact-sheets/detail/tuberculosis (accessed on 15 March 2025).
  85. Diedrich, C.R.; Flynn, J.L. HIV-1/ Mycobacterium tuberculosis Coinfection Immunology: How Does HIV-1 Exacerbate Tuberculosis? Infect. Immun. 2011, 79, 1407–1417. [Google Scholar] [CrossRef]
  86. World Health Organization. Global Tuberculosis Report 2021; Licence: CC BY-NC-SA 3.0 IGO; World Health Organization: Geneva, Switzerland, 2021. [Google Scholar]
  87. Ellis, P.K.; Martin, W.J.; Dodd, P.J. CD4 Count and Tuberculosis Risk in HIV-Positive Adults Not on ART: A Systematic Review and Meta-Analysis. PeerJ 2017, 2017, e4165. [Google Scholar] [CrossRef]
  88. Suthar, A.B.; Lawn, S.D.; Del Amo, J.; Getahun, H.; Dye, C.; Sculier, D.; Sterling, T.R.; Chaisson, R.E.; Williams, B.G.; Harries, A.D.; et al. Antiretroviral Therapy for Prevention of Tuberculosis in Adults with HIV: A Systematic Review and Meta-Analysis. PLoS Med. 2012, 9, e1001270. [Google Scholar] [CrossRef]
  89. Lawn, S.D.; Myer, L.; Bekker, L.G.; Wood, R. Burden of Tuberculosis in an Antiretroviral Treatment Programme in Sub-Saharan Africa: Impact on Treatment Outcomes and Implications for Tuberculosis Control. Aids 2006, 20, 1605–1612. [Google Scholar] [CrossRef]
  90. Schoggins, J.W.; Rice, C.M. Interferon-Stimulated Genes and Their Antiviral Effector Functions. Curr. Opin. Virol. 2011, 1, 519–525. [Google Scholar] [CrossRef]
  91. Schoggins, J.W.; Wilson, S.J.; Panis, M.; Murphy, M.Y.; Jones, C.T.; Bieniasz, P.; Rice, C.M. A Diverse Array of Gene Products Are Effectors of the Type I Interferon Antiviral Response. Nature 2011, 472, 481–485. [Google Scholar] [CrossRef]
  92. Soper, A.; Kimura, I.; Nagaoka, S.; Konno, Y.; Yamamoto, K.; Koyanagi, Y.; Sato, K. Type I Interferon Responses by HIV-1 Infection: Association with Disease Progression and Control. Front. Immunol. 2018, 8, 1823. [Google Scholar] [CrossRef] [PubMed]
  93. Bosinger, S.E.; Hosiawa, K.A.; Cameron, M.J.; Persad, D.; Ran, L.; Xu, L.; Boulassel, M.-R.R.; Parenteau, M.; Fournier, J.; Rud, E.W.; et al. Gene Expression Profiling of Host Response in Models of Acute HIV Infection. J. Immunol. 2004, 173, 6858–6863. [Google Scholar] [CrossRef] [PubMed]
  94. Cheng, L.; Yu, H.; Li, G.; Li, F.; Ma, J.; Li, J.; Chi, L.; Zhang, L.; Su, L. Type I Interferons Suppress Viral Replication but Contribute to T Cell Depletion and Dysfunction during Chronic HIV-1 Infection. JCI Insight 2017, 2, e94366. [Google Scholar] [CrossRef] [PubMed]
  95. Dickey, L.L.; Martins, L.J.; Planelles, V.; Hanley, T.M. HIV-1-Induced Type I IFNs Promote Viral Latency in Macrophages. J. Leukoc. Biol. 2022, 112, 1343–1356. [Google Scholar] [CrossRef]
  96. Woottum, M.; Yan, S.; Sayettat, S.; Grinberg, S.; Cathelin, D.; Bekaddour, N.; Herbeuval, J.-P.; Benichou, S. Macrophages: Key Cellular Players in HIV Infection and Pathogenesis. Viruses 2024, 16, 288. [Google Scholar] [CrossRef]
  97. O’Brien, M.; Manches, O.; Bhardwaj, N. Plasmacytoid Dendritic Cells in HIV Infection. Adv. Exp. Med. Biol. 2013, 762, 71–107. [Google Scholar] [CrossRef]
  98. Hardy, G.A.D.; Sieg, S.; Rodriguez, B.; Anthony, D.; Asaad, R.; Jiang, W.; Mudd, J.; Schacker, T.; Funderburg, N.T.; Pilch-Cooper, H.A.; et al. Interferon-α Is the Primary Plasma Type-I IFN in HIV-1 Infection and Correlates with Immune Activation and Disease Markers. PLoS ONE 2013, 8, 56527. [Google Scholar] [CrossRef]
  99. Su, R.; Sivro, A.; Kimani, J.; Jaoko, W.; Plummer, F.A.; Ball, T.B. Epigenetic Control of IRF1 Responses in HIV-Exposed Seronegative versus HIV-Susceptible Individuals. Blood 2016, 117, 2649–2658. [Google Scholar] [CrossRef]
  100. Chamekh, M.; Huber, S.A.; Pulliam, L.; Altfeld, M.; Ziegler, S.M. Human Immunodeficiency Virus 1 and Type I Interferons—Where Sex Makes a Difference. Differ. Front. Immunol. 2017, 8, 1224. [Google Scholar] [CrossRef]
  101. Hardy, G.A.; Sieg, S.F.; Rodriguez, B.; Jiang, W.; Asaad, R.; Lederman, M.M.; Harding, C. V Desensitization to Type I Interferon in HIV-1 Infection Correlates with Markers of Immune Activation and Disease Progression. Blood 2009, 113, 5497–5505. [Google Scholar] [CrossRef]
  102. Cheng, L.; Ma, J.; Li, J.; Li, D.; Li, G.; Liu, F.; Zhang, Q.; Yu, H.; Yasul, F.; Ye, C.; et al. Blocking IFN1 Signaling Enhances T Cell Recovery and Reduces HIV1 Reservoirs. J. Clin. Investig. 2017, 127, 269–279. [Google Scholar] [CrossRef]
  103. Fernandez, S.; Tanaskovic, S.; Helbig, K.; Rajasuriar, R.; Kramski, M.; Murray, J.M.; Beard, M.; Purcell, D.; Lewin, S.R.; Price, P.; et al. CD4 + T-Cell Deficiency in HIV Patients Responding to Antiretroviral Therapy Is Associated with Increased Expression of Interferon-Stimulated Genes in CD4 + T Cells. J. Infect. Dis. 2011, 204, 1927–1935. [Google Scholar] [CrossRef] [PubMed]
  104. Hazenberg, M.D.; Otto, S.A.; Van Benthem, B.H.B.; Roos, M.T.L.; Coutinho, R.A.; Lange, J.M.A.; Hamann, D.; Prins, M.; Miedema, F. Persistent Immune Activation in HIV-1 Infection Is Associated with Progression to AIDS. AIDS 2003, 17, 1881–1888. [Google Scholar] [CrossRef] [PubMed]
  105. Flynn, J.L.; Chan, J. Immunology of Tuberculosis. Annu. Rev. Immunol. 2001, 19, 93–129. [Google Scholar] [CrossRef] [PubMed]
  106. Girardi, E.; Sañé Schepisi, M.; Goletti, D.; Bates, M.; Mwaba, P.; Yeboah-Manu, D.; Ntoumi, F.; Palmieri, F.; Maeurer, M.; Zumla, A.; et al. The Global Dynamics of Diabetes and Tuberculosis: The Impact of Migration and Policy Implications. Int. J. Infect. Dis. 2017, 56, 45–53. [Google Scholar] [CrossRef]
  107. Restrepo, B.I. Diabetes and Tuberculosis. Microbiol. Spectr. 2016, 4. [Google Scholar] [CrossRef]
  108. Wu, Y.; Ding, Y.; Tanaka, Y.; Zhang, W. Risk Factors Contributing to Type 2 Diabetes and Recent Advances in the Treatment and Prevention. Int. J. Med. Sci. 2014, 11, 1185–1200. [Google Scholar] [CrossRef]
  109. Hayashi, S.; Chandramohan, D. Risk of Active Tuberculosis among People with Diabetes Mellitus: Systematic Review and Meta-Analysis. Trop. Med. Int. Health 2018, 23, 1058–1070. [Google Scholar] [CrossRef]
  110. Lin, Y.; Harries, A.; Kumar, A.M.; Critchley, J.A.; van Crevel, R.; Owiti, P.; Dlodlo, R.A.; Dejgaard, A. Management of Diabetes Mellitus-Tuberculosis: A Guide to the Essential Practice; International Union Against Tuberculosis and Lung Disease: Paris, France, 2018; Volume 2018, ISBN 979-10-91287-23-4. [Google Scholar]
  111. Lönnroth, K.; Roglic, G.; Harries, A.D. Improving Tuberculosis Prevention and Care through Addressing the Global Diabetes Epidemic: From Evidence to Policy and Practice. Lancet Diabetes Endocrinol. 2014, 2, 730–739. [Google Scholar] [CrossRef]
  112. Krishna, S.; Jacob, J. Diabetes Mellitus and Tuberculosis. In Endotext; Feingold, K., Anawalt, B., Blackman, M., Eds.; MDText.com, Inc.: South Dartmouth, MA, USA, 2021; p. 2000. Available online: https://www.ncbi.nlm.nih.gov/books/NBK570126/ (accessed on 20 November 2024).
  113. Noubiap, J.; Nansseu, J.; Nyaga, U.; Nkeck, J.; Endomba, F.; Kaze, A.; Agbor, V.; Bigna, J. Global Prevalence of Diabetes in Active Tuberculosis: A Systematic Review and Meta-Analysis of Data from 2·3 Million Patients with Tuberculosis. Lancet Glob. Health 2019, 7, e448–e460. [Google Scholar] [CrossRef]
  114. Dhamotharaswamy, K.; Selvaraj, H.; Lakshmanaperumal, P.; Sasankan, A.S.; Thangavelu, P.; Menaka, K.; Thangavel, S. Diabetes and TB: Confluence of Two Epidemic and Its Effect on Clinical Presentation. Curr. Diabetes Rev. 2023, 20, e310323215348. [Google Scholar] [CrossRef] [PubMed]
  115. Alebel, A.; Wondemagegn, A.T.; Tesema, C.; Kibret, G.D.; Wagnew, F.; Petrucka, P.; Arora, A.; Ayele, A.D.; Alemayehu, M.; Eshetie, S. Prevalence of Diabetes Mellitus among Tuberculosis Patients in Sub-Saharan Africa: A Systematic Review and Meta-Analysis of Observational Studies. BMC Infect. Dis. 2019, 19, 254. [Google Scholar] [CrossRef] [PubMed]
  116. Baghaei, P.; Marjani, M.; Javanmard, P.; Tabarsi, P.; Masjedi, M.R. Diabetes Mellitus and Tuberculosis Facts and Controversies. J. Diabetes Metab. Disord. 2013, 12, 58. [Google Scholar] [CrossRef]
  117. Bailey, S.L.; Grant, P. “The Tubercular Diabetic”: The Impact of Diabetes Mellitus on Tuberculosis and Its Threat to Global Tuberculosis Control. Clin. Med. 2011, 11, 344–347. [Google Scholar] [CrossRef]
  118. Jeon, C.Y.; Harries, A.D.; Baker, M.A.; Hart, J.E.; Kapur, A.; Lönnroth, K.; Ottmani, S.-E.; Goonesekera, S.; Murray, M.B. Bi-Directional Screening for Tuberculosis and Diabetes: A Systematic Review. Trop. Med. Int. Health 2010, 15, 1300–1314. [Google Scholar] [CrossRef]
  119. Xu, G.; Liu, B.; Sun, Y.; Du, Y.; Snetselaar, L.G.; Hu, F.B.; Bao, W. Prevalence of Diagnosed Type 1 and Type 2 Diabetes among US Adults in 2016 and 2017: Population Based Study. BMJ 2018, 361, 1497. [Google Scholar] [CrossRef]
  120. Ong, K.L.; Stafford, L.K.; McLaughlin, S.A.; Boyko, E.J.; Vollset, S.E.; Smith, A.E.; Dalton, B.E.; Duprey, J.; Cruz, J.A.; Hagins, H.; et al. Global, Regional, and National Burden of Diabetes from 1990 to 2021, with Projections of Prevalence to 2050: A Systematic Analysis for the Global Burden of Disease Study 2021. Lancet 2023, 402, 203–234. [Google Scholar] [CrossRef]
  121. Ruslami, R.; Aarnoutse, R.E.; Alisjahbana, B.; Van Der Ven, A.J.A.M.; Van Crevel, R. Implications of the Global Increase of Diabetes for Tuberculosis Control and Patient Care. Trop. Med. Int. Health 2010, 15, 1289–1299. [Google Scholar] [CrossRef]
  122. Selvan, P.; Nagesh, N.J.; Vajravelu, L.K.; Akram, C.S.; Karniha, B. A Bidirectional Immunological Relationship between Diabetes Mellitus and Tuberculosis: A Narrative Review. J. Clin. Diagn. Res. 2024, 18, DE01–DE05. [Google Scholar] [CrossRef]
  123. Yorke, E.; Atiase, Y.; Akpalu, J.; Sarfo-Kantanka, O.; Boima, V.; Dey, I.D. The Bidirectional Relationship between Tuberculosis and Diabetes. Tuberc. Res. Treat. 2017, 2017, 1702578. [Google Scholar] [CrossRef]
  124. Huang, X.; Yuan, J.; Goddard, A.; Foulis, A.; James, R.F.L.; Lernmark, A.; Pujol-Borrell, R.; Rabinovitch, A.; Somoza, N.; Stewart, T.A. Interferon Expression in the Pancreases of Patients with Type I Diabetes. Diabetes 1995, 44, 658–664. [Google Scholar] [CrossRef] [PubMed]
  125. Foulis, A.K.; Farquharson, M.A.; Meager, A. Immunoreactive A-Interferon in Insulin-Secreting Β Cells in Type 1 Diabetes Mellitus. Lancet 1987, 330, 1423–1427. [Google Scholar] [CrossRef] [PubMed]
  126. Marroqui, L.; Dos Santos, R.S.; de Beeck, O.A.; Coomans de Brachène, A.; Marselli, L.; Marchetti, P.; Eizirik, D.L. Interferon-α Mediates Human Beta Cell HLA Class I Overexpression, Endoplasmic Reticulum Stress and Apoptosis, Three Hallmarks of Early Human Type 1 Diabetes. Diabetologia 2017, 60, 656–667. [Google Scholar] [CrossRef]
  127. Lombardi, A.; Tsomos, E.; Hammerstad, S.S.; Tomer, Y. Interferon Alpha: The Key Trigger of Type 1 Diabetes. J. Autoimmun. 2018, 94, 7–15. [Google Scholar] [CrossRef]
  128. Lombardi, A.; Tomer, Y. Interferon Alpha Impairs Insulin Production in Human Beta Cells via Endoplasmic Reticulum Stress. J. Autoimmun. 2017, 80, 48–55. [Google Scholar] [CrossRef]
  129. Sprooten, J.; Garg, A.D. Type I Interferons and Endoplasmic Reticulum Stress in Health and Disease. In International Review of Cell and Molecular Biology; Elsevier Inc.: Amsterdam, The Netherlands, 2020; Volume 350, pp. 63–118. ISBN 9780128197448. [Google Scholar]
  130. Marro, B.S.; Legrain, S.; Ware, B.C.; Oldstone, M.B.A. Macrophage IFN-I Signaling Promotes Autoreactive T Cell Infiltration into Islets in Type 1 Diabetes Model. JCI Insight 2019, 4, e125067. [Google Scholar] [CrossRef]
  131. Lönnrot, M.; Lynch, K.F.; Elding Larsson, H.; Lernmark, Å.; Rewers, M.J.; Törn, C.; Burkhardt, B.R.; Briese, T.; Hagopian, W.A.; She, J.-X.; et al. Respiratory Infections Are Temporally Associated with Initiation of Type 1 Diabetes Autoimmunity: The TEDDY Study. Diabetologia 2017, 60, 1931–1940. [Google Scholar] [CrossRef]
  132. Morgan, N.G.; Richardson, S.J. Enteroviruses as Causative Agents in Type 1 Diabetes: Loose Ends or Lost Cause? Trends Endocrinol. Metab. 2014, 25, 611–619. [Google Scholar] [CrossRef]
  133. Richardson, S.J.; Morgan, N.G. Enteroviral Infections in the Pathogenesis of Type 1 Diabetes: New Insights for Therapeutic Intervention. Curr. Opin. Pharmacol. 2018, 43, 11–19. [Google Scholar] [CrossRef]
  134. Rodriguez-Calvo, T. Enteroviral Infections as a Trigger for Type 1 Diabetes. Curr. Diab. Rep. 2018, 18, 106. [Google Scholar] [CrossRef]
  135. Rodriguez-Calvo, T. Enterovirus Infection and Type 1 Diabetes: Unraveling the Crime Scene. Clin. Exp. Immunol. 2019, 195, 15–24. [Google Scholar] [CrossRef] [PubMed]
  136. Mavragani, C.P.; Niewold, T.B.; Chatzigeorgiou, A.; Danielides, S.; Thomas, D.; Kirou, K.A.; Kamper, E.; Kaltsas, G.; Crow, M.K. Increased Serum Type I Interferon Activity in Organ-Specific Autoimmune Disorders: Clinical, Imaging, and Serological Associations. Front. Immunol. 2013, 4, 238. [Google Scholar] [CrossRef]
  137. Chehadeh, W.; Weill, J.; Vantyghem, M.-C.; Alm, G.; Lefè, J.; Wattré, P.; Hober, D. Increased Level of Interferon-a in Blood of Patients with Insulin-Dependent Diabetes Mellitus: Relationship with Coxsackievirus B Infection. J. Infect. Dis. 2000, 181, 1929–1968. [Google Scholar] [CrossRef]
  138. Allen, J.S.; Pang, K.; Skowera, A.; Ellis, R.; Rackham, C.; Lozanoska-Ochser, B.; Tree, T.; David, R.; Leslie, G.; Tremble, J.M.; et al. Plasmacytoid Dendritic Cells Are Proportionally Expanded at Diagnosis of Type 1 Diabetes and Enhance Islet Autoantigen Presentation to T-Cells Through Immune Complex Capture. Diabetes 2009, 58, 138–145. [Google Scholar] [CrossRef]
  139. Hinkmann, C.; Knerr, I.; Hahn, E.G.; Lohmann, T.; Seifarth, C.C. Reduced Frequency of Peripheral Plasmacytoid Dendritic Cells in Type 1 Diabetes. Horm. Metab. Res. 2008, 40, 767–771. [Google Scholar] [CrossRef]
  140. Chen, X.; Makala, L.H.C.; Jin, Y.; Hopkins, D.; Muir, A.; Garge, N.; Podolsky, R.H.; She, J.-X. Type 1 Diabetes Patients Have Significantly Lower Frequency of Plasmacytoid Dendritic Cells in the Peripheral Blood. Clin. Immunol. 2008, 129, 413–418. [Google Scholar] [CrossRef]
  141. Richardson, S.J.; Rodriguez-Calvo, T.; Gerling, I.C.; Mathews, C.E.; Kaddis, J.S.; Russell, M.A.; Zeissler, M.; Leete, P.; Krogvold, L.; Dahl-Jørgensen, K.; et al. Islet Cell Hyperexpression of HLA Class I Antigens: A Defining Feature in Type 1 Diabetes. Diabetologia 2016, 59, 2448–2458. [Google Scholar] [CrossRef]
  142. Russell, M.A.; Richardson, S.J.; Morgan, N.G. The Role of the Interferon/JAK-STAT Axis in Driving Islet HLA-I Hyperexpression in Type 1 Diabetes. Front. Endocrinol. 2023, 14, 1270325. [Google Scholar] [CrossRef]
  143. Jiang, H.; Li, Y.; Shen, M.; Liang, Y.; Qian, Y.; Dai, H.; Xu, K.; Xu, X.; Lv, H.; Zhang, J.; et al. Interferon-α Promotes MHC I Antigen Presentation of Islet β Cells through STAT1-IRF7 Pathway in Type 1 Diabetes. Immunology 2022, 166, 210–221. [Google Scholar] [CrossRef]
  144. Ibrahim, H.M.; El-Elaimy, I.A.; Saad Eldien, H.M.; Badr, B.M.; Rabah, D.M.; Badr, G. Blocking Type I Interferon Signaling Rescues Lymphocytes from Oxidative Stress, Exhaustion, and Apoptosis in a Streptozotocin-Induced Mouse Model of Type 1 Diabetes. Oxid. Med. Cell. Longev. 2013, 2013, 148725. [Google Scholar] [CrossRef]
  145. Osum, K.C.; Burrack, A.L.; Martinov, T.; Sahli, N.L.; Mitchell, J.S.; Tucker, C.G.; Pauken, K.E.; Papas, K.; Appakalai, B.; Spanier, J.A.; et al. Interferon-Gamma Drives Programmed Death-Ligand 1 Expression on Islet β Cells to Limit T Cell Function during Autoimmune Diabetes. Sci. Rep. 2018, 8, 8295. [Google Scholar] [CrossRef]
  146. Colli, M.L.; Hill, J.L.E.; Marroquí, L.; Chaffey, J.; Dos Santos, R.S.; Leete, P.; Coomans De Brachène, A.; Paula, F.M.M.; Op De Beeck, A.; Castela, A.; et al. PDL1 Is Expressed in the Islets of People with Type 1 Diabetes and Is Up-Regulated by Interferons-α and-γ via IRF1 Induction. EBioMedicine 2018, 36, 367–375. [Google Scholar] [CrossRef]
  147. Shen, L.; Gao, Y.; Liu, Y.; Zhang, B.; Liu, Q.; Wu, J.; Fan, L.; Ou, Q.; Zhang, W.; Shao, L. PD-1/PD-L Pathway Inhibits M.Tb-Specific CD4+ T-Cell Functions and Phagocytosis of Macrophages in Active Tuberculosis. Sci. Rep. 2016, 6, 38362. [Google Scholar] [CrossRef]
  148. Reynier, F.; Pachot, A.; Paye, M.; Xu, Q.; Turrel-Davin, F.; Petit, F.; Hot, A.; Auffray, C.; Bendelac, N.; Nicolino, M.; et al. Specific Gene Expression Signature Associated with Development of Autoimmune Type-I Diabetes Using Whole-Blood Microarray Analysis. Genes Immun. 2010, 11, 269–278. [Google Scholar] [CrossRef]
  149. Bai, J.; Liu, F. The CGAS-CGAMP-STING Pathway: A Molecular Link between Immunity and Metabolism. Diabetes 2019, 68, 1099–1108. [Google Scholar] [CrossRef]
  150. Qiao, J.; Zhang, Z.; Ji, S.; Liu, T.; Zhang, X.; Huang, Y.; Feng, W.; Wang, K.; Wang, J.; Wang, S.; et al. A Distinct Role of STING in Regulating Glucose Homeostasis through Insulin Sensitivity and Insulin Secretion. Proc. Natl. Acad. Sci. USA 2022, 119, e2101848119. [Google Scholar] [CrossRef]
  151. Sobel, D.; Ahvazi, B.; Pontzer, C. The Role of Type I Interferon Subtypes and Interferon-Gamma in Type I Interferon Diabetes Inhibitory Activity in the NOD Mouse. J. Interferon Cytokine Res. 2016, 36, 238–246. [Google Scholar] [CrossRef]
  152. Iglesias, M.; Arun, A.; Chicco, M.; Lam, B.; Talbot, C.C.; Ivanova, V.; Lee, W.P.A.; Brandacher, G.; Raimondi, G. Type-I Interferons Inhibit Interleukin-10 Signaling and Favor Type 1 Diabetes Development in Nonobese Diabetic Mice. Front. Immunol. 2018, 9, 1565. [Google Scholar] [CrossRef]
  153. Badr, B.M.; Moustafa, N.A.; Eldien, H.M.S.; Mohamed, A.O.; Ibrahim, H.M.; El-Elaimy, I.A.; Mahmoud, M.H.; Badr, G. Increased Levels of Type 1 Interferon in a Type 1 Diabetic Mouse Model Induce the Elimination of B Cells from the Periphery by Apoptosis and Increase Their Retention in the Spleen. Cell. Physiol. Biochem. 2015, 35, 137–147. [Google Scholar] [CrossRef]
  154. Ginsberg, H.; MacCallum, P. The Obesity Metabolic Syndrome and Type 2 Diabetes Mellitus Pandemic: Part I. Increased Cardiovascular Disease Risk and the Importance of Atherogenic Dyslipidemia in Persons with the Metabolic Syndrome and Type 2 Diabetes Mellitus. J. Cardiometabolic Syndr. 2010, 4, 113–119. [Google Scholar] [CrossRef]
  155. Kim, D.; Chung, H.; Lee, J.E.; Kim, J.; Hwang, J.; Chung, Y. Immunologic Aspects of Dyslipidemia: A Critical Regulator of Adaptive Immunity and Immune Disorders. J. Lipid Atheroscler. 2021, 10, 184–201. [Google Scholar] [CrossRef]
  156. Martens, G.W.; Arikan, M.C.; Lee, J.; Ren, F.; Vallerskog, T.; Kornfeld, H. Hypercholesterolemia Impairs Immunity to Tuberculosis. Infect. Immun. 2008, 76, 3464–3472. [Google Scholar] [CrossRef]
  157. Ji, L.; Li, T.; Chen, H.; Yang, Y.; Lu, E.; Liu, J.; Qiao, W.; Chen, H. The Crucial Regulatory Role of Type I Interferon in Inflammatory Diseases. Cell Biosci. 2023, 13, 230. [Google Scholar] [CrossRef]
  158. Londe, A.C.; Fernandez-Ruiz, R.; Julio, P.R.; Appenzeller, S.; Niewold, T.B. Type I Interferons in Autoimmunity: Implications in Clinical Phenotypes and Treatment Response. J. Rheumatol. 2023, 50, 1103–1113. [Google Scholar] [CrossRef]
  159. Tsokos, G.C. Systemic Lupus Erythematosus. N. Engl. J. Med. 2011, 365, 2110–2121. [Google Scholar] [CrossRef]
  160. Yang, Y.; Thumboo, J.; Tan, B.H.; Tan, T.T.; Fong, C.H.J.; Ng, H.S.; Fong, K.Y. The Risk of Tuberculosis in SLE Patients from an Asian Tertiary Hospital. Rheumatol. Int. 2017, 37, 1027–1033. [Google Scholar] [CrossRef]
  161. Erdozain, J.-G.; Ruiz-Irastorza, G.; Egurbide, M.-V.; Martinez-Berriotxoa, A.; Aguirre, C. High Risk of Tuberculosis in Systemic Lupus Erythematosus? Lupus 2006, 15, 232–235. [Google Scholar] [CrossRef]
  162. Yin Mok, M.; Lo, Y.; Mao Chan, T.; Sing Wong, W.; Sing Lau, C. Tuberculosis in Systemic Lupus Erythematosus in an Endemic Area and the Role of Isoniazid Prophylaxis During Corticosteroid Therapy. J. Rheumatol. 2005, 32, 609–615. [Google Scholar]
  163. Hardy, R.S.; Raza, K.; Cooper, M.S. Therapeutic Glucocorticoids: Mechanisms of Actions in Rheumatic Diseases. Nat. Rev. Rheumatol. 2020, 16, 133–144. [Google Scholar] [CrossRef]
  164. Jick, S.S.; Lieberman, E.S.; Rahman, M.U.; Choi, H.K. Glucocorticoid Use, Other Associated Factors, and the Risk of Tuberculosis. Arthritis Care Res. 2006, 55, 19–26. [Google Scholar] [CrossRef]
  165. Long, W.; Cai, F.; Wang, X.; Zheng, N.; Wu, R. High Risk of Activation of Latent Tuberculosis Infection in Rheumatic Disease Patients. Infect. Dis. 2020, 52, 80–86. [Google Scholar] [CrossRef]
  166. Christopoulos, A.I.; Diamantopoulos, A.A.; Dimopoulos, P.A.; Goumenos, D.S.; Barbalias, G.A. Risk Factors for Tuberculosis in Dialysis Patients: A Prospective Multi-Center Clinical Trial. BMC Nephrol. 2009, 10, 36. [Google Scholar] [CrossRef]
  167. Rönnblom, L.; Leonard, D. Interferon Pathway in SLE: One Key to Unlocking the Mystery of the Disease. Lupus Sci. Med. 2019, 6, 270. [Google Scholar] [CrossRef]
  168. Lee, S.S.J.; Chou, K.J.; Su, I.J.; Chen, Y.S.; Fang, H.C.; Huang, T.S.; Tsai, H.C.; Wann, S.R.; Lin, H.H.; Liu, Y.C. High Prevalence of Latent Tuberculosis Infection in Patients in End-Stage Renal Disease on Hemodialysis: Comparison of QuantiFERON-TB GOLD, ELISPOT, and Tuberculin Skin Test. Infection 2009, 37, 96–102. [Google Scholar] [CrossRef]
  169. Shin-Jung Lee, S.; Chou, K.-J.; Dou, H.-Y.; Huang, T.-S.; Ni, Y.-Y.; Fang, H.-C.; Tsai, H.-C.; Sy, C.-L.; Chen, J.-K.; Wu, K.-S.; et al. High Prevalence of Latent Tuberculosis Infection in Dialysis Patients Using the Interferon-Release Assay and Tuberculin Skin Test. Clin. J. Am. Soc. Nephrol. 2010, 5, 1451–1457. [Google Scholar] [CrossRef]
  170. Rogerson, T.E.; Chen, S.; Mbbs, J.K.; Hayen, A.; Craig, J.C.; Sud, K.; Basci, K.K.; Webster, A.C. Tests for Latent Tuberculosis in People with End Stage Kidney Disease: A Systematic Review. Am. J. Kidney Dis. 2012, 61, 33–43. [Google Scholar] [CrossRef]
  171. Wu, H.; Fu, S.; Zhao, M.; Lu, L.; Lu, Q. Dysregulation of Cell Death and Its Epigenetic Mechanisms in Systemic Lupus Erythematosus. Molecules 2017, 22, 30. [Google Scholar] [CrossRef]
  172. Colonna, L.; Lood, C.; Elkon, K.B. Beyond Apoptosis in Lupus. Curr. Opin. Rheumatol. 2014, 26, 459–466. [Google Scholar] [CrossRef]
  173. Blanco, P.; Palucka, A.K.; Gill, M.; Pascual, V.; Banchereau, J. Induction of Dendritic Cell Differentiation by IFN-α in Systemic Lupus Erythematosus. Science 2001, 294, 1540–1543. [Google Scholar] [CrossRef]
  174. Klarquist, J.; Zhou, Z.; Shen, N.; Janssen, E.M. Dendritic Cells in Systemic Lupus Erythematosus: From Pathogenic Players to Therapeutic Tools. Mediators Inflamm. 2016, 2016, 5045248. [Google Scholar] [CrossRef]
  175. Gerl, V.; Lischka, A.; Panne, D.; Grobmann, P.; Berthold, R.; Hoyer, B.; Biesen, R.; Bruns, A.; Alexander, T.; Jacobi, A.; et al. Blood Dendritic Cells in Systemic Lupus Erythematosus Exhibit Altered Activation State and Chemokine Receptor Function. Ann. Rheum. Dis. 2010, 69, 1370–1377. [Google Scholar] [CrossRef]
  176. Tektonidou, M.G.; Dasgupta, A.; Ward, M.M. Risk of End-Stage Renal Disease in Patients with Lupus Nephritis, 1971–2015: A Systematic Review and Bayesian Meta-Analysis. Arthritis Rheumatol. 2017, 68, 1432–1441. [Google Scholar] [CrossRef]
  177. Satproedprai, N.; Wichukchinda, N.; Suphankong, S.; Inunchot, W.; Kuntima, T.; Kumpeerasart, S.; Wattanapokayakit, S.; Nedsuwan, S.; Yanai, H.; Higuchi, K.; et al. Diagnostic Value of Blood Gene Expression Signatures in Active Tuberculosis in Thais: A Pilot Study. Genes Immun. 2015, 16, 253–260. [Google Scholar] [CrossRef]
  178. Luan, P.; Zhuang, J.; Zou, J.; Li, H.; Shuai, P.; Xu, X.; Zhao, Y.; Kou, W.; Ji, S.; Peng, A.; et al. NLRC5 Deficiency Ameliorates Diabetic Nephropathy through Alleviating Inflammation. FASEB J. 2018, 32, 1070–1084. [Google Scholar] [CrossRef]
  179. Cui, J.; Zhu, L.; Xia, X.; Wang, H.Y.; Legras, X.; Hong, J.; Ji, J.; Shen, P.; Zheng, S.; Chen, Z.J.; et al. NLRC5 Negatively Regulates the NF-KappaB and Type I Interferon Signaling Pathways. Cell 2010, 141, 483–496. [Google Scholar] [CrossRef]
  180. Benko, S.; Kovács, E.G.; Hezel, F.; Kufer, T.A. NLRC5 Functions beyond MHC I Regulation-What Do We Know so Far? Front. Immunol. 2017, 8, 150. [Google Scholar] [CrossRef]
  181. Palau, L.; Menez, S.; Rodriguez-sanchez, J.; Novick, T.; Delsante, M.; Mcmahon, B.A.; Atta, M.G. HIV-Associated Nephropathy: Links, Risks and Management. HIV/AIDS-Res. Palliat. Care 2018, 10, 73–81. [Google Scholar] [CrossRef]
  182. Wyatt, C.M. Kidney Disease and HIV Infection. Top. Antivir. Med. 2017, 25, 13–16. [Google Scholar]
  183. Reutens, A.T. Epidemiology of Diabetic Kidney Disease. Med. Clin. NA 2013, 97, 1–18. [Google Scholar] [CrossRef]
  184. Betjes, M.G.H. Immune Cell Dysfunction and Inflammation in End-Stage Renal Disease. Nat. Rev. Nephrol. 2013, 9, 255–265. [Google Scholar] [CrossRef]
  185. Dobler, C.C.; McDonald, S.P.; Marks, G.B. Risk of Tuberculosis in Dialysis Patients: A Nationwide Cohort Study. PLoS ONE 2011, 6, e29563. [Google Scholar] [CrossRef]
  186. Chia, S.; Karim, M.; Elwood, R.K.; FitzGerald, J.M. Risk of Tuberculosis in Dialysis Patients: A Population-Based Study. Int. J. Tuberc. Lung Dis. 1998, 2, 989–991. [Google Scholar]
  187. Ruzangi, J.; Iwagami, M.; Smeeth, L.; Mangtani, P.; Nitsch, D. The Association between Chronic Kidney Disease and Tuberculosis; A Comparative Cohort Study in England. BMC Nephrol. 2020, 21, 420. [Google Scholar] [CrossRef]
  188. Kimmel, P.L.; Cohen, D.J.; Abraham, A.A.; Bodi, I.; Schwartz, A.M.; Phillips, T.M. Upregulation of MHC Class II, Interferon-α and Interferon-γ Receptor Protein Expression in HIV -Associated Nephropathy. Nephrol. Dial. Transplant. 2003, 18, 285–292. [Google Scholar] [CrossRef]
  189. Castellano, G.; Cafiero, C.; Divella, C.; Sallustio, F.; Gigante, M.; Pontrelli, P.; De Palma, G.; Rossini, M.; Grandaliano, G.; Gesualdo, L. Local Synthesis of Interferon-Alpha in Lupus Nephritis Is Associated with Type I Interferons Signature and LMP7 Induction in Renal Tubular Epithelial Cells. Arthritis Res. Ther. 2015, 17, 72. [Google Scholar] [CrossRef]
  190. Leung, C.C.; Lam, T.H.; Chan, W.M.; Yew, W.W.; Ho, K.S.; Leung, G.M.; Law, W.S.; Tam, C.M.; Chan, C.K.; Chang, K.C. Diabetic Control and Risk of Tuberculosis: A Cohort Study. Am. J. Epidemiol. 2008, 167, 1486–1494. [Google Scholar] [CrossRef]
  191. Rupani, M.P. A Mixed-Methods Study on Impact of Silicosis on Tuberculosis Treatment Outcomes and Need for TB-Silicosis Collaborative Activities in India. Sci. Rep. 2023, 13, 2785. [Google Scholar] [CrossRef]
  192. Zhou, J.; Zhuang, Z.; Li, J.; Feng, Z. Significance of the CGAS-STING Pathway in Health and Disease. Int. J. Mol. Sci. 2023, 24, 13316. [Google Scholar] [CrossRef]
  193. Benmerzoug, S.; Rose, S.; Bounab, B.; Gosset, D.; Duneau, L.; Chenuet, P.; Mollet, L.; Le Bert, M.; Lambers, C.; Geleff, S.; et al. STING-Dependent Sensing of Self-DNA Drives Silica-Induced Lung Inflammation. Nat. Commun. 2018, 9, 5226. [Google Scholar] [CrossRef]
  194. Giordano, G.; van den Brûle, S.; Lo Re, S.; Triqueneaux, P.; Uwambayinema, F.; Yakoub, Y.; Couillin, I.; Ryffel, B.; Michiels, T.; Renauld, J.C.; et al. Type I Interferon Signaling Contributes to Chronic Inflammation in a Murine Model of Silicosis. Toxicol. Sci. 2010, 116, 682–692. [Google Scholar] [CrossRef]
  195. Khayat, M.; Fan, H.; Vali, Y. COVID-19 Promoting the Development of Active Tuberculosis in a Patient with Latent Tuberculosis Infection: A Case Report. Respir. Med. Case Rep. 2021, 32, 101344. [Google Scholar] [CrossRef]
  196. Leonso, A.A.; Brown, K.; Prol, R.; Rawat, S.; Khunger, A.; Bromberg, R. A Rare Case of Latent Tuberculosis Reactivation Secondary to a COVID-19 Infection. Infect. Dis. Rep. 2022, 14, 446–452. [Google Scholar] [CrossRef]
  197. Semnani, K.; Sohrabi, M.; Ebrahimi Alavijeh, P.; SeyedAlinaghi, S.; Esmaeili, S.; Halabchi, F.; Alizadeh, Z.; Salami, A.; Salami Khaneshan, A. Prior COVID-19 Infection among Newly Diagnosed Tuberculosis Patients in a Tertiary Care Center in Tehran: A Case-Control Study. Immun. Inflamm. Dis. 2024, 12, e1275. [Google Scholar] [CrossRef]
  198. Alemu, A.; Bitew, Z.W.; Seid, G.; Diriba, G.; Gashu, E.; Berhe, N.; Mariam, S.H.; Gumi, B. Tuberculosis in Individuals Who Recovered from COVID-19: A Systematic Review of Case Reports. PLoS ONE 2022, 17, e0277807. [Google Scholar] [CrossRef]
  199. Dormans, T.; Zandijk, E.; Stals, F. Late Tuberculosis Reactivation After Severe COVID-19. Eur. J. Case Rep. Intern. Med. 2024, 11, 004406. [Google Scholar] [CrossRef]
  200. Queiroz, M.A.; Brito, W.R.; Pereira, K.A.; Pereira, L.M.; Amoras, E.D.; Lima, S.S.; Santos, E.F.; Costa, F.P.; Sarges, K.M.; Cantanhede, M.H.; et al. Severe COVID-19 and Long COVID Are Associated with High Expression of STING, CGAS and IFN-α. Sci. Rep. 2024, 14, 4974. [Google Scholar] [CrossRef]
  201. Galbraith, M.D.; Kinning, K.T.; Sullivan, K.D.; Araya, P.; Smith, K.P.; Granrath, R.E.; Shaw, J.R.; Baxter, R.; Jordan, K.R.; Russell, S.; et al. Specialized Interferon Action in COVID-19. Proc. Natl. Acad. Sci. USA 2022, 119, e2116730119. [Google Scholar] [CrossRef]
  202. Ribero, M.S.; Jouvenet, N.; Dreux, M.; Nisole, S. Interplay between SARS-CoV-2 and the Type I Interferon Response. PLoS Pathog. 2020, 16, e1008737. [Google Scholar] [CrossRef]
  203. Booysen, P.; Wilkinson, K.A.; Sheerin, D.; Waters, R.; Coussens, A.K.; Wilkinson, R.J. Immune Interaction between SARS-CoV-2 and Mycobacterium tuberculosis. Front. Immunol. 2023, 14, 1254206. [Google Scholar] [CrossRef]
  204. Hadjadj, J.; Yatim, N.; Barnabei, L.; Corneau, A.; Boussier, J.; Smith, N.; Péré, H.; Charbit, B.; Bondet, V.; Chenevier-Gobeaux, C.; et al. Impaired Type I Interferon Activity and Inflammatory Responses in Severe COVID-19 Patients. Science 2020, 369, 718–724. [Google Scholar] [CrossRef]
  205. Laing, A.G.; Lorenc, A.; del Molino del Barrio, I.; Das, A.; Fish, M.; Monin, L.; Muñoz-Ruiz, M.; McKenzie, D.R.; Hayday, T.S.; Francos-Quijorna, I.; et al. A Dynamic COVID-19 Immune Signature Includes Associations with Poor Prognosis. Nat. Med. 2020, 26, 1623–1635. [Google Scholar] [CrossRef]
  206. Zhou, R.; To, K.K.W.; Wong, Y.C.; Liu, L.; Zhou, B.; Li, X.; Huang, H.; Mo, Y.; Luk, T.Y.; Lau, T.T.K.; et al. Acute SARS-CoV-2 Infection Impairs Dendritic Cell and T Cell Responses. Immunity 2020, 53, 864–877.e5. [Google Scholar] [CrossRef]
  207. Sodeifian, F.; Nikfarjam, M.; Kian, N.; Mohamed, K.; Rezaei, N. The Role of Type I Interferon in the Treatment of COVID-19. J. Med. Virol. 2021, 94, 63. [Google Scholar] [CrossRef]
  208. Jeong, H.W.; Lee, J.S.; Ko, J.H.; Hong, S.; Oh, S.T.; Choi, S.; Peck, K.R.; Yang, J.H.; Chung, S.; Kim, S.H.; et al. Corticosteroids Reduce Pathologic Interferon Responses by Downregulating STAT1 in Patients with High-Risk COVID-19. Exp. Mol. Med. 2023, 55, 653–664. [Google Scholar] [CrossRef]
  209. Lin, L.; Lu, L.; Cao, W.; Li, T. Hypothesis for Potential Pathogenesis of SARS-CoV-2 Infection–a Review of Immune Changes in Patients with Viral Pneumonia. Emerg. Microbes Infect. 2020, 9, 727–732. [Google Scholar] [CrossRef]
  210. Diao, B.; Wang, C.; Tan, Y.; Chen, X.; Liu, Y.; Ning, L.; Chen, L.; Li, M.; Liu, Y.; Wang, G.; et al. Reduction and Functional Exhaustion of T Cells in Patients with Coronavirus Disease 2019 (COVID-19). Front. Immunol. 2020, 11, 827. [Google Scholar] [CrossRef]
  211. Gopalaswamy, R.; Subbian, S. Corticosteroids for COVID-19 Therapy: Potential Implications on Tuberculosis. Int. J. Mol. Sci. 2021, 22, 3773. [Google Scholar] [CrossRef]
  212. Mazewski, C.; Perez, R.E.; Fish, E.N.; Platanias, L.C. Type I Interferon (IFN)-Regulated Activation of Canonical and Non-Canonical Signaling Pathways. Front. Immunol. 2020, 11, 606456. [Google Scholar] [CrossRef]
  213. Rönnblom, L. The Type i Interferon System in the Etiopathogenesis of Autoimmune Diseases. Ups. J. Med. Sci. 2011, 116, 227–237. [Google Scholar] [CrossRef]
  214. Benhalima, K.; Mathieu, C.; Van Wijngaerden, E. Disorders of Glucose Metabolism in Human Immunodeficiency Virus-Infected Patients. Acta Clin. Belg. 2008, 63, 227–234. [Google Scholar] [CrossRef]
  215. Larson, R.; Capili, B.; Eckert-Norton, M.; Colagreco, J.P.; Anastasi, J.K. Disorders of Glucose Metabolism in the Context of Human Immunodeficiency Virus Infection. J. Am. Acad. Nurse Pract. 2006, 18, 92–103. [Google Scholar] [CrossRef]
  216. Giosuè, S.; Casarini, M.; Alemanno, L.; Galluccio, G.; Mattia, P.; Pedicelli, G.; Rebek, L.; Bisetti, A.; Ameglio, F. Effects of Aerosolized Interferon-α in Patients with Pulmonary Tuberculosis. Am. J. Respir. Crit. Care Med. 1998, 158, 1156–1162. [Google Scholar] [CrossRef]
  217. Palmero, D.; Eiguchi, K.; Rendo, P.; Zorrilla, L.C.; Abbate, E.; Montaner, L.J.G. Phase II Trial of Recombinant Interferon- α 2b in Patients with Advanced Intractable Multidrug-Resistant Pulmonary Tuberculosis: Long-Term Follow-Up. Int. J. Tuberc. Lung Dis. 1999, 3, 214–218. [Google Scholar]
  218. Rivas-Santiago, C.E.; Guerrero, G.G. IFN- α Boosting of Mycobacterium Bovis Bacillus Calmette Güerin-Vaccine Promoted Th1 Type Cellular Response and Protection against M. Tuberculosis Infection. Biomed. Res. Int. 2017, 2017, 8796760. [Google Scholar] [CrossRef]
  219. Zarogoulidis, P.; Kioumis, I.; Papanas, N.; Manika, K.; Kontakiotis, T.; Papagianis, A.; Zarogoulidis, K. The Effect of Combination IFN-Alpha-2a with Usual Antituberculosis Chemotherapy in Non-Responding Tuberculosis and Diabetes Mellitus: A Case Report and Review of the Literature. J. Chemother. 2012, 24, 173–177. [Google Scholar] [CrossRef] [PubMed]
  220. Markowitz, G.S.; Nasr, S.H.; Stokes, M.B.; D’Agati, V.D. Treatment with IFN-α,-β,or-γ Is Associated with Collapsing Focal Segmental Glomerulosclerosis. Clin. J. Am. Soc. Nephrol. 2010, 5, 607–615. [Google Scholar] [CrossRef]
  221. Iacopo, G.; Allinovi, M.; Caroti, L.; Cirami, L.C. Broad Spectrum of Interferon-Related Nephropathies-Glomerulonephritis, Systemic Lupus Erythematosus-like Syndrome and Thrombotic Microangiopathy: A Case Report and Review of Literature. World J. Nephrol. 2019, 8, 109–117. [Google Scholar] [CrossRef]
  222. Laurin, L.P.; Gasim, A.M.; Derebail, V.K.; McGregor, J.A.G.; Kidd, J.M.; Hogan, S.L.; Poulton, C.J.; Detwiler, R.K.; Jennette, J.C.; Falk, R.J.; et al. Renal Survival in Patients with Collapsing Compared with Not Otherwise Specified FSGS. Clin. J. Am. Soc. Nephrol. 2016, 11, 1752–1759. [Google Scholar] [CrossRef]
  223. Llibre, A.; Bilek, N.; Bondet, V.; Darboe, F.; Mbandi, S.K.; Penn-Nicholson, A.; Hatherill, M.; Rozenberg, F.; Scriba, T.J.; Duffy, D. Plasma Type I IFN Protein Concentrations in Human Tuberculosis. Front. Cell. Infect. Microbiol. 2019, 9, 296. [Google Scholar] [CrossRef]
  224. de los Milagros Bürgi, M.; Prieto, C.; Etcheverrigaray, M.; Kratje, R.; Oggero, M.; Bollati-Fogolín, M. WISH Cell Line: From the Antiviral System to a Novel Reporter Gene Assay to Test the Potency of Human IFN-α and IFN-β. J. Immunol. Methods 2012, 381, 70–74. [Google Scholar] [CrossRef]
  225. Huijser, E.; Göpfert, J.; Brkic, Z.; Van Helden-Meeuwsen, C.G.; Jansen, S.; Mandl, T.; Olsson, P.; Schrijver, B.; Schreurs, M.W.J.; Van Daele, P.L.A.; et al. Serum Interferon-A2 Measured by Single-Molecule Array Associates with Systemic Disease Manifestations in Sjögren’s Syndrome. Rheumatology 2022, 61, 2156–2166. [Google Scholar] [CrossRef]
Figure 1. Type I IFN induction and signalling pathway in M. tuberculosis infection. The figure illustrates the cascade of type I IFN production following M. tuberculosis infection and the subsequent induction of the IFN signalling pathway, resulting in the downstream production of ISGs. TLR—Toll-like receptor; MR—mannose receptor; SR—scavenger receptor; CR—complement receptor; ssRNA—single-stranded ribonucleic acid; dsDNA—double-stranded deoxyribonucleic acid; ER—endoplasmic reticulum; IFN—interferon, IFNAR—interferon-alpha receptor; IRF—interferon regulatory factor; ISRE—interferon-sensitive response element; TYK—tyrosine kinase; JAK—Janus kinase; STAT—signal transducer and activator of transcription; ISG—interferon-stimulated genes; cGAS—cyclic GMP-AMP synthase; STING—stimulator of IFN genes; TBK1—tyrosine kinase 1; IKK—IκB kinase, ISGs—interferon stimulated genes. Created with BioRender.com (Available from https://www.biorender.com/) (Accessed on 30 January 2025).
Figure 1. Type I IFN induction and signalling pathway in M. tuberculosis infection. The figure illustrates the cascade of type I IFN production following M. tuberculosis infection and the subsequent induction of the IFN signalling pathway, resulting in the downstream production of ISGs. TLR—Toll-like receptor; MR—mannose receptor; SR—scavenger receptor; CR—complement receptor; ssRNA—single-stranded ribonucleic acid; dsDNA—double-stranded deoxyribonucleic acid; ER—endoplasmic reticulum; IFN—interferon, IFNAR—interferon-alpha receptor; IRF—interferon regulatory factor; ISRE—interferon-sensitive response element; TYK—tyrosine kinase; JAK—Janus kinase; STAT—signal transducer and activator of transcription; ISG—interferon-stimulated genes; cGAS—cyclic GMP-AMP synthase; STING—stimulator of IFN genes; TBK1—tyrosine kinase 1; IKK—IκB kinase, ISGs—interferon stimulated genes. Created with BioRender.com (Available from https://www.biorender.com/) (Accessed on 30 January 2025).
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Figure 2. Summary of type I IFN responses in HIV, diabetes, and SLE with potential for reactivation of LTBI. The diagram illustrates the potential mechanisms by which type I IFN-associated diseases can lead to the reactivation of latent tuberculosis infection (LTBI) into active tuberculosis (TB). HIV interacts with pDCs and induces the production of increased levels of type I IFNs. These IFNs act by suppressing CD4 T cell counts and function or by causing immune activation, which suppresses M. tuberculosis-specific T cell responses. Diabetes: The production of type I IFNs is induced by either enterovirus infections associated with type 1 diabetes (T1D) or inflammation-mediated T2D. The IFNs act by increasing the PD-1/PD-L1 expression that impairs M. tuberculosis-specific function and macrophage phagocytosis and intracellular killing. IFNs also cause T cell exhaustion, impairing their ability to kill pathogens. SLE: Immune complexes and autoantibodies produced in SLE induce increased levels of type I IFNs. The IFNs reduce the capability of macrophages to carry out phagocytosis, antigen presentation, and cytokine production, and that of DCs and pDCs to migrate. The described mechanisms resulting from the type I IFNs in these diseases have the potential, in the presence of LTBI, to drive progression to active TB. Created with BioRender.com (Available from https://www.biorender.com/) (Accessed on 10 June 2025). IFN—interferon; ISGs—interferon stimulated genes; PD—programmed cell death protein; PD-L1—programmed death-ligand 1; DC—dendritic cell; pDC—plasmacytoid dendritic cell; Mtb—M. tuberculosis.
Figure 2. Summary of type I IFN responses in HIV, diabetes, and SLE with potential for reactivation of LTBI. The diagram illustrates the potential mechanisms by which type I IFN-associated diseases can lead to the reactivation of latent tuberculosis infection (LTBI) into active tuberculosis (TB). HIV interacts with pDCs and induces the production of increased levels of type I IFNs. These IFNs act by suppressing CD4 T cell counts and function or by causing immune activation, which suppresses M. tuberculosis-specific T cell responses. Diabetes: The production of type I IFNs is induced by either enterovirus infections associated with type 1 diabetes (T1D) or inflammation-mediated T2D. The IFNs act by increasing the PD-1/PD-L1 expression that impairs M. tuberculosis-specific function and macrophage phagocytosis and intracellular killing. IFNs also cause T cell exhaustion, impairing their ability to kill pathogens. SLE: Immune complexes and autoantibodies produced in SLE induce increased levels of type I IFNs. The IFNs reduce the capability of macrophages to carry out phagocytosis, antigen presentation, and cytokine production, and that of DCs and pDCs to migrate. The described mechanisms resulting from the type I IFNs in these diseases have the potential, in the presence of LTBI, to drive progression to active TB. Created with BioRender.com (Available from https://www.biorender.com/) (Accessed on 10 June 2025). IFN—interferon; ISGs—interferon stimulated genes; PD—programmed cell death protein; PD-L1—programmed death-ligand 1; DC—dendritic cell; pDC—plasmacytoid dendritic cell; Mtb—M. tuberculosis.
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Mutua, F.; Su, R.-C.; Ball, T.B.; Kiazyk, S. The Role of Type I Interferons in Tuberculosis and in Tuberculosis-Risk-Associated Comorbidities. Infect. Dis. Rep. 2025, 17, 81. https://doi.org/10.3390/idr17040081

AMA Style

Mutua F, Su R-C, Ball TB, Kiazyk S. The Role of Type I Interferons in Tuberculosis and in Tuberculosis-Risk-Associated Comorbidities. Infectious Disease Reports. 2025; 17(4):81. https://doi.org/10.3390/idr17040081

Chicago/Turabian Style

Mutua, Florence, Ruey-Chyi Su, Terry Blake Ball, and Sandra Kiazyk. 2025. "The Role of Type I Interferons in Tuberculosis and in Tuberculosis-Risk-Associated Comorbidities" Infectious Disease Reports 17, no. 4: 81. https://doi.org/10.3390/idr17040081

APA Style

Mutua, F., Su, R.-C., Ball, T. B., & Kiazyk, S. (2025). The Role of Type I Interferons in Tuberculosis and in Tuberculosis-Risk-Associated Comorbidities. Infectious Disease Reports, 17(4), 81. https://doi.org/10.3390/idr17040081

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