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ORIGINAL RESEARCH article

Front. Immunol., 18 September 2025

Sec. Microbial Immunology

Volume 16 - 2025 | https://doi.org/10.3389/fimmu.2025.1612709

This article is part of the Research TopicTuberculosis and Immune RegulationView all 4 articles

Impact of cytomegalovirus exposure on disease severity, bacterial burden, immune responses and treatment outcomes in tuberculosis

  • 1National Institutes of Health-NIAID-International Center for Excellence in Research, Chennai, India
  • 2ICMR-National Institute for Research in Tuberculosis, Chennai, India
  • 3Infectious Diseases, Dignity Health, Chandler, AZ, United States
  • 4Prof. M. Viswanathan Diabetes Research Center, Chennai, India
  • 5ICMR-Regional Medical Research Center, Port Blair, India
  • 6UMass Chan Medical School, Worcester, MA, United States
  • 7Laboratory of Parasitic Diseases, National Institutes of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States

Introduction: Tuberculosis (TB) continues to be one of the leading causes of global mortality. Recent evidence highlights human cytomegalovirus (CMV) as a risk factor for TB. However, the impact of CMV exposure on disease severity, bacterial burden, and TB treatment outcomes remain poorly understood.

Methods: Serostatus of CMV was determined by assaying IgG titers in plasma samples by ELISA. Chest X-rays were employed to assess bilateral lung lesions and cavitary diseases, and sputum smear grades to measure bacterial loads in TB subjects. Treatment outcomes were defined as favorable or unfavorable. Cytokine profiles were measured using multiplex ELISA.

Results: The study revealed that TB patients with CMV seopositivity had significantly higher bacterial loads (adjusted PR [aPR], 4·14; 95% CI, 2·21-7·16; p<0·001), bilateral lung lesions (aPR, 2·97; 95% CI, 1·71-5·17; P<0·001), cavitary lung lesions (aPR, 4·21; 95% CI, 1·98-6·24; p<0·001) and unfavorable treatment outcomes (aPR, 1·48; 95% CI, 1·08-2·69; p=0·05). Our data also show that TB is associated with significantly lower levels of IFNγ, IL-2, TNFα, IL-1α, and IL-1β but significantly higher levels of IL-10, IFNα, IFNβ, G-CSF, and VEGF in CMV exposed individuals compared to CMV non exposed individuals.

Conclusion: Our findings reveal that CMV exposure worsens the severity of TB, increases bacterial burden, and leads to poorer treatment outcomes. The modulation of cytokine responses in TB patients with CMV exposure suggests a potential mechanism by which CMV may exacerbate TB pathogenesis.

Introduction

Tuberculosis (TB) continues to pose a significant threat to global health, accounting for 10·6 million active cases and 1·7 million deaths annually (1). In addition, around one quarter of people worldwide carry Mycobacterium tuberculosis (Mtb) in a latent form that has the potential to transition into active TB, for instance, from coinfections (2). Chronic viral infections such as HIV, hepatitis C, and human T-lymphotropic virus type 1 increase the risk of TB disease (35). Similarly, recent studies suggest that human cytomegalovirus (CMV) infection increases the risk of progression to TB disease (6).

CMV, also known as human herpesvirus 5, is a member of the herpesviridae family (7). CMV infection is nearly ubiquitous, and it is prevalent in areas with high TB burdens. The epidemiology of the two illnesses is comparable in terms of age and sex distribution, heterogeneity in geographical prevalence, and overlapping risk factors (8). Primary CMV infection in immune-competent hosts is usually asymptomatic (9), but CMV can establish lifelong persistent infection in the host through the latent state, which revert to productive infection under circumstances of immunosuppression (10). Infection, reinfection, and reactivation of CMV might have extensive implications that modulate the immune response to TB (11).

Mtb control depends on the host’s innate and adaptive immune responses, particularly Th1 cell-mediated immunity, which is crucial for suppressing Mtb within macrophages in the lungs (12). Th1 cytokines like IFN-γ activate macrophages and cytolytic T cells to eliminate Mtb (13), while Th2 cytokines such as IL-4 and IL-13 hinder this process by promoting anti-inflammatory reactions (14). Although pro-inflammatory cytokines play a critical role in the immune response to TB (15), the impact of CMV exposure on cytokine responses in TB have not been explored.

To address this knowledge gap, our study aimed to compare disease severity, bacterial burden, and treatment outcomes in TB patients with or without CMV exposure. Moreover, to explore the immunological underpinnings of the interaction between CMV and TB, we examined the circulating plasma levels of a large panel of cytokines and pro-fibrotic factors in TB patients with or without CMV exposure.

Materials and methods

Ethics statement

The study was approved by the ethics committees of the National Institute for Research in Tuberculosis (NIRT) and the Prof. M. Viswanathan Diabetes Research Center (MVDRC) (ECR/51/INST/TN/2013/MVDRC/01).

Patient consent statement

Informed written consent was obtained from all participants, and study procedures adhered to institutional ethical guidelines.

Study population and data variables

Participants were recruited from Chennai, South India, as part of the prospective Effect of Diabetes on Tuberculosis Severity (EDOTS) study conducted from February 2014 to August 2018. The study included adult individuals aged 25 to 73 who were newly diagnosed with positive sputum smears and culture. Exclusion criteria were previous TB episodes, prior TB treatment, drug-resistant TB, positive HIV status, use of immunosuppressive medications, pregnancy, and lactation. Anthropometric measurements (height, and weight), and biochemical parameters were procured using standardized techniques. A complete blood count was done on all samples in a DxH 520 hematology analyzer (Beckman Coulter). Low body mass index (LBMI) was described based on the American Heart Association/American College of Cardiology guidelines (LBMI ≤ 18.5 kg/m2), overweight by body mass index (BMI) 25-29.9 kg/m2, and obesity defined by BMI threshold of ≥30.0 kg/m2. Diabetes was defined as glycated hemoglobin (HbA1c) reading of 6.5% or greater and a fasting blood glucose of ≥126 mg/dl, according to the American Diabetes Association criteria. Chest X-rays were utilized to assess the presence of bilateral lung disease and cavitary lesions and chest x-rays were read by 2 independent radiologists. Sputum smear grades were used to measure bacterial loads in individuals with TB and classified as 0, 1+, 2+, and 3+ with 0 being no bacteria in microscopy and 3+ the highest number of bacteria. The laboratory investigators were blinded to the chest x-ray and bacteriology results. All recruited TB patients received anti-TB treatment through Directly Observed Treatment Short Course (DOTS) therapy as per WHO recommendations, monitored by the National Tuberculosis Elimination Program (NTEP). Follow-up extended through 6 months of treatment and 1-year post-treatment completion. Treatment outcomes were defined as favorable or unfavorable. Favorable treatment outcome (cure) was defined as negative results of sputum cultures at months 5 and 6 of treatment without recurrent disease during follow-up. Unfavorable treatment outcomes included treatment failure defined as positive sputum culture results at month 5 or 6, all-cause mortality, or recurrent TB within 12 months after initial cure. These participants did not receive any treatment for CMV. Serostatus of CMV was determined by assaying the titer values of IgG in plasma samples using ELISA kit (MyBiosource) by following manufacturer’s instructions. Index values of <0·90 were considered negative, 0·90 to 1·1 were considered intermediate, and >1·1 were considered positive.

Multiplex assays

Circulating plasma cytokines and pro-fibrotic levels were measured using multiplex Luminex assay (Magpix platform) (Bio-Rad Laboratories, Inc.). The analytes measured included cytokines (Interferon (IFN)-γ, Interleukin (IL)-2, Tumor Necrosis Factor (TNF-α), IL-4, IL-5, IL-6, IL-13, IL-3, IL-7, IFN-α, IFN-β, IL-1α, IL-1β, IL-1Ra, IL-17, Granulocyte colony-stimulating factor (G-CSF), Granulocyte-macrophage colony-stimulating factor (GM-CSF), IL-12, IL-15, IL-10, IL-25, IL-33) and pro-fibrotic factors(Vascular endothelial growth factor (VEGF), Epidermal growth factor (EGF), Platelet-derived growth factor (PDGF)-AB, PDGF-AB/BB, and Granzyme B). The experiment was conducted according to the manufacturer’s instructions (R&D Systems).

Statistical analysis

Before analysis, the data was thoroughly checked for completeness and consistency. Continuous variables were examined for normality using the Shapiro-Wilks test and were found not to be normal. The data was then presented using frequency, percentages, median and quartiles. Geometric means (GM) were used for measurements of central tendency. Statistically significant differences between the three groups were analyzed by means of Kruskal-Wallis test with Dunn’s post-hoc for multiple comparisons. Mann–Whitney U-test with Holm’s correction for multiple comparisons was used between two groups. Differences in continuous variables between the groups were examined using the Wilcoxon rank sum test, while the relationship between groups and factors such as sputum smear grade, bilateral lung lesion, cavitary lesion, and TB treatment failure and relapse were examined using the Pearson chi-square test. Generalized linear models with binomial regression and log-link functions were used to identify key factors. The selection of covariates for the regression model was determined based on data availability, a review of relevant literature, and the opinions of subject matter experts. Prevalence ratios (PR) and adjusted prevalence ratios (aPR) were calculated along with the corresponding 95% confidence intervals (CIs). Covariates with significant PR, were considered when adjusting for aPR. Data analysis was performed using STATA software, version 15.0 (StataCorp., Texas, USA), with all P values considered two-sided and statistical significance set at the 0.05 α level.

Results

Study population characteristics

The total study population was 422 individuals with PTB, including 172 CMV positives, 108 CMV intermediates, and 142 CMV negatives. The median age was 44·0 (interquartile range [IQR], 36·0–51·5) years for CMV positive, 45·0 (IQR, 36·0–52·0) years for CMV intermediate and 45·0 (IQR, 36·0–52·0) years for CMV negative (P=0·003). There were no significant differences in gender, BMI, or alcohol use between the groups. However, significant differences were noted in age, smoking, HbA1c and anemia (Table 1). Individuals with CMV positive and CMV intermediate exhibited significantly lower levels of lymphocytes compared to CMV negative subjects (Table 2).

Table 1
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Table 1. Demographics and clinical characteristics of CMV seropositivity with TB individuals.

Table 2
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Table 2. Hematological parameters of TB individuals with CMV seropositivity.

Association of clinical co-morbidities with CMV in TB individuals

No significant differences were observed in age, gender, BMI, alcoholism, or HbA1c between the two groups (Table 3). However, significant differences were noted in smoking and anemia. The PR for smoking individuals with CMV exposure was 1·57 (95% CI: 1·16–2·80; p = 0·02), and this association remained significant after adjusting for possible confounders (aPR, 1·40, 95% CI: 1·09–1·96; p = 0·04). The PR for anemia in individuals with CMV exposure was 2·69 (95% CI: 1·19–4·70; p = 0·01), and this association remained significant after adjusting for possible confounders (aPR 1·82, 95% CI: 1·09–3·86; p = 0·04).

Table 3
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Table 3. Association of clinical co-morbidities with CMV seropositivity with TB individuals.

CMV seropositivity is associated with increased radiographic TB disease severity and greater bacterial burden

CMV seropositivity was significantly associated with an increased risk of cavitary disease (PR, 6·31; 95% CI, 3·12-10·42; p < 0·001) and bilateral lung lesions (PR, 5·24; 95% CI, 2·91-6·91; p< 0·001). After adjusting for confounding variables, CMV seropositivity remained significantly associated with a higher risk of cavitation (aPR, 4·21; 95% CI, 1·98-6·24; p < 0·001) and bilateral lung lesions, (aPR, 2·97; 95% CI, 1·71-5·17; p< 0·001) indicating increased TB disease severity in individuals with CMV exposure. Additionally, CMV seropositivity was significantly associated with an elevated risk of higher smear grades (PR, 6·31; 95% CI, 3·12-10·42; p< 0·001). This association persisted after adjusting for confounders, with CMV seropositivity remaining significantly associated with increased smear grades (aPR, 4·14; 95% CI, 2·21-7·16; p< 0·001), indicating higher bacterial burdens in TB patients with CMV exposure (Table 4).

Table 4
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Table 4. Association of CMV seropositivity with bacterial burden, disease severity and treatment failure/relapse in TB.

CMV seropositivity is associated with increased risk of unfavorable TB treatment outcomes

CMV seropositivity was significantly associated with an increased risk of unfavorable treatment outcomes (PR, 1·67; 95% CI, 1·26–2·95; p = 0·01). This association persisted even after adjusting for confounding variables, with CMV remaining significantly associated with unfavorable treatment outcomes (aPR, 1·48; 95% CI, 1·08-2·69; p = 0·05). These findings indicate a heightened risk of treatment failure or TB recurrence in TB patients with CMV (Table 4).

CMV seropositivity is associated with altered levels of cytokines and pro-fibrotic factors in TB

To explore a plausible mechanism by which CMV impacts TB individuals, we measured the plasma levels of various cytokines and pro-fibrotic factors in TB individuals with CMV positive, intermediate and negative groups. The circulating levels of IL-3, IL-7, IL-4, IL-5, IL-6, IL-1Ra, IL-17, GM-CSF, IL-12, IL-15, IL-25, IL-33, IL-13, EGF, PDGF-AA, PDGF-AB BB, and Granzyme B did not significantly differ between the groups. However, pro-inflammatory cytokines (IFN-α, IFN-β, G-CSF), regulatory cytokines (IL-10), and pro-fibrotic factors (VEGF) were significantly elevated in TB with CMV positive and CMV intermediate individuals compared to those without CMV. Conversely, the circulating plasma levels of type 1 cytokines (IFN-γ, TNF-α, IL-2), and proinflammatory cytokines (IL-1α, and IL-1β) were significantly diminished in TB with CMV positive and CMV intermediate individuals compared to those without CMV (Table 5, Figure 1).

Table 5
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Table 5. Association of CMV seropositivity with altered levels of cytokines in TB individuals.

Figure 1
Boxplots showing cytokine levels for IFNγ, IL-2, TNFα, IFN-α, IFN-β, IL-1α, IL-1β, G-CSF, IL-10, and VEGF across conditions: CMV+, intermediate, and CMV-. Data indicates significant differences with asterisks denoting p-values. Each subplot provides a comparison of cytokine concentrations in picograms per milliliter.

Figure 1. CMV seropositivity is associated with altered levels of cytokines in TB individuals. The figure illustrates the cytokine profile in CMV positive, intermediate and negative individuals with TB. Each data point represents an individual subject, with the bar indicating the geometric mean (GM) cytokine level. Statistical analysis was performed using the Kruskal-wallis test. *p<0.05, **p<0.005, ***p<0.0005, ****p<0.00005.

Discussion

TB management depends on understanding the predisposing factors associated with disease progression and poor anti-TB treatment outcomes (16). There is increasing evidence on the role of coinfections in TB pathogenesis, as chronic viral infections have been demonstrated to promote Mtb, delay Mtb-specific T-cell priming, and contribute to TB morbidity in experimental conditions (17). Among these, CMV infection has recently been implicated as a potential risk factor for TB disease (18). A large cross-sectional study from the U.S. National Health and Nutrition Examination Survey (NHANES) found that CMV seropositivity was independently associated with latent TB infection (LTBI), with higher CMV antibody levels correlating with increased LTBI prevalence, suggesting an immunological link between CMV-induced immune activation and TB susceptibility (19). However, despite growing evidence, only a few published studies have investigated the associations between the two infections (8, 20) and the mechanisms causing TB susceptibility are unknown. Our study is the first to explore the impact of CMV exposure on TB disease severity, bacterial burden, and treatment response.

We examined the impact of CMV exposure on clinical characteristics, disease severity, and treatment outcomes in a cohort of 422 PTB patients, stratified into CMV-positive, CMV-intermediate, and CMV-negative groups based on CMV serostatus. Our findings revealed that CMV-positive and CMV-intermediate individuals had significantly lower lymphocyte counts compared to CMV-negative individuals. Although no significant differences were observed in demographic characteristics such as age, gender, and BMI, the analysis identified smoking and anemia as clinical comorbidities significantly associated with CMV exposure. Adjusted prevalence ratios indicated that smoking and anemia were independently associated with CMV positivity in TB patients, highlighting the need to consider these factors when evaluating TB disease severity and outcomes in individuals exposed with CMV. This is consistent with recent findings suggesting the association of CMV serostatus in those with a heavy smoking history and anemia (21, 22).

In addition, our results showed that CMV exposure was significantly associated with increased radiographic TB disease severity, evidenced by a higher prevalence of cavitary disease and bilateral lung lesions in CMV-positive individuals compared to CMV-negative individuals. After adjusting for potential confounders, the prevalence of having cavitary disease and bilateral lung lesions remained markedly elevated in CMV-positive individuals. Furthermore, CMV positivity was associated with higher bacterial burden, as indicated by smear grades in these patients. The persistence of these associations after adjustment for confounders underscores the potential role of CMV exposure in exacerbating TB pathology, possibly through modulation of host immune responses, which may facilitate Mtb replication and dissemination. A recent meta-analysis of 15 studies involving 38,618 patients supports this, demonstrating that CMV infection is significantly associated with increased risk of active TB (OR: 3.20; 95% CI: 2.18–4.70), with a clear dose-response relationship between CMV antibody levels and TB risk (23). Further evidence from a recent longitudinal cohort study demonstrated that in both infant and adolescent cohorts, CMV-specific IFN-γ responses were associated with CD8+ T-cell activation and an increased risk of TB disease, as well as a shorter time to TB diagnosis, supporting the connection between CMV-induced immune activation and TB susceptibility (11). Moreover, a Phase 2b clinical trial of a developmental TB vaccine found that immune activation characterized by increased HLA-DR expression on CD4+ T cells was linked to a higher risk of TB disease in South African infants, underscoring how immune activation—potentially driven by CMV—may influence TB disease progression (24).

The association of CMV seropositivity with unfavorable TB treatment outcomes is particularly concerning as it was significantly linked to a higher risk of treatment failure or TB recurrence, even after adjusting for confounders. CMV presumably contributes to poor treatment responses in TB patients through persistent effects on protective immune functions. Given the high seroprevalence of CMV in the Indian population (25) and our findings presented here, consideration should be given to screening for CMV antibodies in TB patients as a marker for disease severity and a predictor of treatment outcomes.

Biomarkers for disease severity and unfavorable TB treatment outcomes can play a major role in identifying novel TB intervention strategies (2632). Since cytokines are critical in the host defense against mycobacterial infections and serve as markers of disease severity and bacterial burden in active TB (33, 34), we explored cytokine responses that reflect cell-mediated immunity in TB infection. CMV is known to imbalance systemic cytokine, T-cell, and macrophage responses and inflammation (35). Our findings reveal that TB with CMV seropositivity is associated with reduced levels of protective cytokines, altered pro-inflammatory cytokines and elevated pro-fibrotic factors, potentially aggravating TB pathogenesis.

Studies in human observational cohorts and animal models have established that Th1 cytokines, such as IFN-γ, TNF-α, and IL-12, are crucial for preventing TB infection and disease progression (36, 37). TNF-α, in particular, is essential for bacterial control during Mtb infection through its activation of phagocytes and granuloma formation (38). Our findings indicate that CMV-seropositive TB patients exhibit lower circulating Th1 cytokine levels, suggesting an immunological mechanism driving worse TB severity (39). Additionally, decreased IL-1 levels in CMV-positive individuals align with previous reports of immune suppression in TB-HIV coinfection (40). Type I interferons (IFN-α and IFN-β), which are protective against viral infections (41), may have detrimental effects in TB (42). We observed elevated Type I IFNs in CMV-positive individuals, consistent with reports linking heightened Type I IFNs to adverse TB outcomes in both mouse models and humans (43, 44). Chronic viral infections, including CMV, can also enhance the production of immunosuppressive factors like IL-10, which lowers immune protection against Mtb and promotes Mtb persistence (45). Emerging evidence suggests that CMV may impair local immune responses in the lung through immunosuppressive mechanisms, including viral IL-10–mediated polarization of monocytes toward an anti-inflammatory macrophage phenotype, potentially compromising Mtb control at the site of infection (46). Blocking IL-10 has been shown to stabilize bacterial load and improve survival in Mtb-infected mice (47). Our data support these findings, showing elevated IL-10 levels in CMV-positive individuals, which could exacerbate TB infection, as observed in transgenic mouse models (48). Furthermore, we noted increased vascular endothelial growth factor (VEGF) levels in CMV-positive individuals, a biomarker associated with TB disease severity and bacterial burdens (49), corroborating earlier studies on systemic VEGF elevation in TB patients with extensive disease involvement (50).

In this study, rigorous control was applied to several variables, including age, gender, BMI, diabetes, smoking status, and alcohol use, which are known to influence bacterial burdens and disease severity. Because smoking status and anemia differed between the CMV-positive and CMV-negative groups, we adjusted for their effects and demonstrated that the significant association of CMV exposure with TB remains despite this difference. Therefore, our study demonstrates an important association between CMV seropositivity and the increased risk of cavitation and bilateral lung lesions, even under rigorous screening criteria. These results corroborate other studies that have suggested that these lesions have a detrimental effect on patients and may result in poor treatment outcomes, relapses, and drug resistance (51). As estimated by sputum smear grades in PTB, our data confirm an important association of CMV seropositive status with mycobacterial burdens, a key indicator of transmission risk and disease severity (52). Our data further confirms that TB individuals with CMV exposure were at a significantly higher risk of experiencing unfavorable treatment outcomes, including treatment failure or TB recurrence. This finding aligns with previous research indicating that patients with TB-HIV coinfection exhibit poor treatment outcomes and a heightened degree of inflammatory perturbation (53).

Our study suffers from the limitation of relying only on IgG positivity as a diagnostic for CMV exposure. The results provide a strong rationale to measure viral load, but that it not possible with the available samples and will require a new prospective study. Another limitation of our study is that cytokine levels exhibit a great degree of overlap between groups and that there is variability in the responses of different individuals in the same group. It is possible that other factors not examined in this study could have contributed to the differential responses. This variability could limit to use of cytokine levels as predictive biomarkers, but does not diminish their value, with statistical adjustment, as informative markers of underlying biological processes.

In conclusion, this study highlights the complex interplay between CMV and TB disease, suggesting that CMV exposure contributes to increased TB disease severity, greater bacterial burdens, and a higher risk of unfavorable treatment outcomes. Future studies should focus on elucidating the mechanisms underlying CMV-mediated alterations in TB immunopathogenesis and exploring potential therapeutic interventions.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s.

Ethics statement

The studies involving humans were approved by the ethics committees of the National Institute for Research in Tuberculosis (NIRT) and the Prof. M. Viswanathan Diabetes Research Center (MVDRC) (ECR/51/INST/TN/2013/MVDRC/01). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

BD: Formal Analysis, Data curation, Writing – review & editing, Writing – original draft. SM: Formal Analysis, Validation, Data curation, Writing – review & editing. NK: Supervision, Investigation, Formal Analysis, Project administration, Data curation, Validation, Writing – review & editing. KM: Investigation, Writing – review & editing, Methodology, Data curation. AP: Writing – review & editing, Investigation, Methodology, Data curation. SN: Resources, Writing – review & editing, Validation. VV: Resources, Project administration, Writing – review & editing, Supervision, Investigation, Conceptualization. SS: Writing – review & editing, Conceptualization, Investigation, Resources, Project administration, Supervision. SH: Project administration, Writing – review & editing, Supervision, Investigation, Resources, Conceptualization. KT: Formal Analysis, Data curation, Writing – review & editing. HK: Supervision, Writing – review & editing, Project administration, Conceptualization, Resources, Investigation. SB: Validation, Supervision, Conceptualization, Project administration, Software, Funding acquisition, Writing – review & editing, Resources, Investigation, Visualization.

Funding

The author(s) declare financial support was received for the research and/or publication of this article. This work was supported by federal funds (in whole or in part) from the Government of India’s (GOI) Department of Biotechnology (DBT), the Indian Council of Medical Research (ICMR), the United States National Institutes of Health (NIH), National Institute of Allergy and Infectious Diseases (NIAID), Office of AIDS Research (OAR), and distributed in part by CRDF Global (grant USB1-31149-XX-13). This work is also funded by CRDF Global RePORT India Consortium Supplemental Funding (grant OISE-17-62911-1). This work was supported in part by DIR, NIAID, NIH.

Acknowledgments

We thank and acknowledge the help rendered by Dr Shruthi BS, Mr. Mothi Shankar, Mr. Srinivasan, and other members of EDOTS Team. We also thank the Greater Chennai Corporation, Dr. Senthil Kumar (City Health Officer), and Dr. Lavanya J (Revised National Tuberculosis Elimination Program Officer) for providing permission to conduct the study in the Tuberculosis Units of North Chennai. We thank the Department of Clinical Research, NIRT for assistance with radiology and the Department of Bacteriology, NIRT for bacterial smears and cultures. We thank the staff of MVDRC for recruiting participants and samples collection.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

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References

1. Global tuberculosis report(2024). Available online at: https://www.who.int/teams/global-tuberculosis-programme/tb-reports/global-tuberculosis-report-2024 (Accessed December 12 2024).

Google Scholar

2. Diedrich CR and Flynn JL. HIV-1/Mycobacterium tuberculosis coinfection immunology: how does HIV-1 exacerbate tuberculosis? Infect Immun. (2011) 79:1407–17. doi: 10.1128/IAI.01126-10

PubMed Abstract | Crossref Full Text | Google Scholar

3. Esmail H, Riou C, Bruyn ED, Lai RP, Harley YXR, Meintjes G, et al. The immune response to Mycobacterium tuberculosis in HIV-1-coinfected persons. Annu Rev Immunol. (2018) 36:603–38. doi: 10.1146/annurev-immunol-042617-053420

PubMed Abstract | Crossref Full Text | Google Scholar

4. Grassi MF, Dos Santos NP, Lírio M, Kritski AL, Chagas Almeida Mda C, Santana LP, et al. Tuberculosis incidence in a cohort of individuals infected with human T-lymphotropic virus type 1 (HTLV-1) in Salvador, Brazil. BMC Infect Dis. (2016) 16:491. doi: 10.1186/s12879-016-1428-z

PubMed Abstract | Crossref Full Text | Google Scholar

5. Wu PH, Lin YT, Hsieh KP, Chuang HY, and Sheu CC. Hepatitis C virus infection is associated with an increased risk of active tuberculosis disease: a nationwide population-based study. Med (Baltimore). (2015) 94:e1328. doi: 10.1097/MD.0000000000001328

PubMed Abstract | Crossref Full Text | Google Scholar

6. Stockdale L, Nash S, Farmer R, Raynes J, Mallikaarjun S, Newton R, et al. Cytomegalovirus antibody responses associated with increased risk of tuberculosis disease in Ugandan adults. J Infect Dis. (2020) 221:1127–34. doi: 10.1093/infdis/jiz581

PubMed Abstract | Crossref Full Text | Google Scholar

7. Drew WL. Herpes viruses. In: Sherris Medical Microbiology, vol. 4. McGraw-Hill Medical (2004). p. 555–76.

Google Scholar

8. Cobelens F, Nagelkerke N, and Fletcher H. The convergent epidemiology of tuberculosis and human cytomegalovirus infection. F1000Res. (2018) 7:280. doi: 10.12688/f1000research.14184.2

PubMed Abstract | Crossref Full Text | Google Scholar

9. Dupont L and Reeves MB. Cytomegalovirus latency and reactivation: recent insights into an age old problem. Rev Med Virol. (2016) 26:75–89. doi: 10.1002/rmv.1862

PubMed Abstract | Crossref Full Text | Google Scholar

10. Puchhammer-Stöckl E and Görzer I. Cytomegalovirus and Epstein-Barr virus subtypes-the search for clinical significance. J Clin Virol. (2006) 36:239–48. doi: 10.1016/j.jcv.2006.03.004

PubMed Abstract | Crossref Full Text | Google Scholar

11. Olbrich L, Stockdale L, Basu Roy R, Song R, Cicin-Sain L, Whittaker E, et al. Understanding the interaction between cytomegalovirus and tuberculosis in children: the way forward. PLoS Pathog. (2021) 17:e1010061. doi: 10.1371/journal.ppat.1010061

PubMed Abstract | Crossref Full Text | Google Scholar

12. O’Garra A, Redford PS, McNab FW, Bloom CI, Wilkinson RJ, and Berry MP. The immune response in tuberculosis. Annu Rev Immunol. (2013) 31:475–527. doi: 10.1146/annurev-immunol-032712-095939

PubMed Abstract | Crossref Full Text | Google Scholar

13. Mogues T, Goodrich ME, Ryan L, LaCourse R, and North RJ. The relative importance of T cell subsets in immunity and immunopathology of airborne Mycobacterium tuberculosis infection in mice. J Exp Med. (2001) 193:271–80. doi: 10.1084/jem.193.3.271

PubMed Abstract | Crossref Full Text | Google Scholar

14. Brighenti S and Joosten SA. Friends and foes of tuberculosis: modulation of protective immunity. J Intern Med. (2018) 10:125–44. doi: 10.1111/joim.12778

PubMed Abstract | Crossref Full Text | Google Scholar

15. Cooper AM. Cell-mediated immune responses in tuberculosis. Annu Rev Immunol. (2009) 27:393–422. doi: 10.1146/annurev.immunol.021908.132703

PubMed Abstract | Crossref Full Text | Google Scholar

16. MacNeil A, Glaziou P, Sismanidis C, Date A, Maloney S, and Floyd K. Global epidemiology of tuberculosis and progress toward meeting global targets—worldwide, 2018. MMWR Morb Mortal Wkly Rep. (2020) 69:281–5. doi: 10.15585/mmwr.mm6911a2

PubMed Abstract | Crossref Full Text | Google Scholar

17. Xu W, Snell LM, Guo M, Boukhaled G, Macleod BL, Li M, et al. Early innate and adaptive immune perturbations determine long-term severity of chronic virus and Mycobacterium tuberculosis coinfection. Immunity. (2021) 54:526–41.e7. doi: 10.1016/j.immuni.2021.01.003

PubMed Abstract | Crossref Full Text | Google Scholar

18. Stockdale L, Nash S, Nalwoga A, Painter H, Asiki G, Fletcher H, et al. Human cytomegalovirus epidemiology and relationship to tuberculosis and cardiovascular disease risk factors in a rural Ugandan cohort. PLoS One. (2018) 13:e0192086. doi: 10.1371/journal.pone.0192086

PubMed Abstract | Crossref Full Text | Google Scholar

19. van der Heijden YF, Zhang B, Chougnet CA, and Huaman MA. Cytomegalovirus infection is associated with increased prevalence of latent tuberculosis infection. Open Forum Infect Dis. (2021) 8:ofab539. doi: 10.1093/ofid/ofab539

PubMed Abstract | Crossref Full Text | Google Scholar

20. Olaleye OD, Omilabu SA, and Baba SS. Cytomegalovirus infection among tuberculosis patients in a chest hospital in Nigeria. Comp Immunol Microbiol Infect Dis. (1990) 13:101–6. doi: 10.1016/0147-9571(90)90522-U

PubMed Abstract | Crossref Full Text | Google Scholar

21. Burkes RM, Bailey E, Hwalek T, Osterburg A, Lach L, Panos R, et al. Associations of smoking, cytomegalovirus serostatus, and natural killer cell phenotypes in smokers with and at risk for COPD. Chronic Obstr Pulm Dis. (2023) 10:286–96. doi: 10.15326/jcopdf.2022.0382

PubMed Abstract | Crossref Full Text | Google Scholar

22. de Melo Silva J, Pinheiro-Silva R, Costa de Oliveira R, de Castro Alves CE, Barbosa AN, and Pontes GS. Prevalence and recurrence rates of cytomegalovirus infection among patients with hematological diseases in the western Brazilian amazon: A cross-sectional study. Front Public Health. (2021) 9:692226. doi: 10.3389/fpubh.2021.692226

PubMed Abstract | Crossref Full Text | Google Scholar

23. Kua KP, Chongmelaxme B, and Lee SWH. Association between cytomegalovirus infection and tuberculosis disease: A systematic review and meta-analysis of epidemiological studies. J Infect Dis. (2023) 227:471–82. doi: 10.1093/infdis/jiac179

PubMed Abstract | Crossref Full Text | Google Scholar

24. Fletcher HA, Snowden MA, Landry B, Rida W, Satti I, Harris SA, et al. T-cell activation is an immune correlate of risk in BCG vaccinated infants. Nat Commun. (2016) 7:11290. doi: 10.1038/ncomms11290

PubMed Abstract | Crossref Full Text | Google Scholar

25. Cherukat J, Jacob SE, Kulkarni R, and Basavarajegowda A. Seroprevalence of cytomegalovirus among blood donors at a tertiary care hospital in Puducherry, India. Is testing donated blood for cytomegalovirus a viable option? Asian J Transfus Sci. (2021) 15:113–4. doi: 10.4103/ajts.AJTS_1_19

PubMed Abstract | Crossref Full Text | Google Scholar

26. Moideen K, Nathella PK, Madabushi S, Renji RM, Srinivasan P, Ahamed SF, et al. Plasma Vitamin D levels in correlation with circulatory proteins could be a potential biomarker tool for pulmonary tuberculosis and treatment monitoring. Cytokine. (2023) 168:156238. doi: 10.1016/j.cyto.2023.156238

PubMed Abstract | Crossref Full Text | Google Scholar

27. Kumar NP, Nancy A, Viswanathan V, Sivakumar S, Thiruvengadam K, Ahamed SF, et al. Chitinase and indoleamine 2, 3-dioxygenase are prognostic biomarkers for unfavorable treatment outcomes in pulmonary tuberculosis. Front Immunol. (2023) 14:1093640. doi: 10.3389/fimmu.2023.1093640

PubMed Abstract | Crossref Full Text | Google Scholar

28. Kumar NP, Moideen K, Viswanathan V, Sivakumar S, Ahamed SF, Ponnuraja C, et al. Heightened microbial translocation is a prognostic biomarker of recurrent tuberculosis. Clin Infect Dis. (2022) 75:1820–6. doi: 10.1093/cid/ciac236

PubMed Abstract | Crossref Full Text | Google Scholar

29. Kumar NP, Moideen K, Nancy A, Viswanathan V, Thiruvengadam K, Sivakumar S, et al. Acute phase proteins are baseline predictors of tuberculosis treatment failure. Front Immunol. (2021) 12:731878. doi: 10.3389/fimmu.2021.731878

PubMed Abstract | Crossref Full Text | Google Scholar

30. Gupte AN, Kumar P, Araújo-Pereira M, Kulkarni V, Paradkar M, Pradhan N, et al. Baseline IL-6 is a biomarker for unfavorable tuberculosis treatment outcomes: a multisite discovery and validation study. Eur Respir J. (2022) 59:2100905. doi: 10.1183/13993003.00905-2021

PubMed Abstract | Crossref Full Text | Google Scholar

31. Kumar NP, Moideen K, Nancy A, Viswanathan V, Thiruvengadam K, Sivakumar S, et al. Association of plasma matrix metalloproteinase and tissue inhibitors of matrix metalloproteinase levels with adverse treatment outcomes among patients with pulmonary tuberculosis. JAMA Netw Open. (2020) 3:e2027754. doi: 10.1001/jamanetworkopen.2020.27754

PubMed Abstract | Crossref Full Text | Google Scholar

32. Kumar NP, Moideen K, Nancy A, Viswanathan V, Thiruvengadam K, Nair D, et al. Plasma chemokines are baseline predictors of unfavorable treatment outcomes in pulmonary tuberculosis. Clin Infect Dis. (2021) 73:e3419–27. doi: 10.1093/cid/ciaa1104

PubMed Abstract | Crossref Full Text | Google Scholar

33. Kumar NP, Moideen K, Banurekha VV, Nair D, and Babu S. Plasma proinflammatory cytokines are markers of disease severity and bacterial burden in pulmonary tuberculosis. Open Forum Infect Dis. (2019) 6:ofz257. doi: 10.1093/ofid/ofz257

PubMed Abstract | Crossref Full Text | Google Scholar

34. Kumar NP, Moideen K, Nancy A, Viswanathan V, Shruthi BS, Sivakumar S, et al. Plasma chemokines are biomarkers of disease severity, higher bacterial burden and delayed sputum culture conversion in pulmonary tuberculosis. Sci Rep. (2019) 9:18217. doi: 10.1038/s41598-019-54803

Crossref Full Text | Google Scholar

35. Imlay H and Limaye AP. Current understanding of cytomegalovirus reactivation in critical illness. J Infect Dis. (2020) 221:S94–S102. doi: 10.1093/infdis/jiz638

PubMed Abstract | Crossref Full Text | Google Scholar

36. Demissie A, Abebe M, Aseffa A, Rook G, Fletcher H, Zumla A, et al. Healthy individuals that control a latent infection with Mycobacterium tuberculosis express high levels of Th1 cytokines and the IL-4 antagonist IL-4δ2. J Immunol. (2004) 172:6938–43. doi: 10.4049/jimmunol.172.11.6938

PubMed Abstract | Crossref Full Text | Google Scholar

37. Keane J, Gershon S, Wise RP, Mirabile-Levens E, Kasznica J, Schwieterman WD, et al. Tuberculosis associated with infliximab, a tumor necrosis factor α–neutralizing agent. N Engl J Med. (2001) 345:1098–104. doi: 10.1056/NEJMoa011110

PubMed Abstract | Crossref Full Text | Google Scholar

38. Domingo-Gonzalez R, Prince O, Cooper A, and Khader SA. Cytokines and chemokines in mycobacterium tuberculosis infection. Microbiol Spectr. (2016) 4:18. doi: 10.1128/microbiolspec.TBTB2-0018-2016

PubMed Abstract | Crossref Full Text | Google Scholar

39. Nemeth J, Winkler HM, Boeck L, Adegnika AA, Clement E, Mve TM, et al. Specific cytokine patterns of pulmonary tuberculosis in Central Africa. Clin Immunol. (2011) 138:50–9. doi: 10.1016/j.clim.2010.09.005

PubMed Abstract | Crossref Full Text | Google Scholar

40. Flynn JL and Chan J. Immunology of tuberculosis. Annu Rev Immunol. (2001) 19:93–129. doi: 10.1146/annurev.immunol.19.1.93

PubMed Abstract | Crossref Full Text | Google Scholar

41. McNab F, Mayer-Barber K, Sher A, Wack A, and O’Garra A. Type I interferons in infectious disease. Nat Rev Immunol. (2015) 15:87–103. doi: 10.1038/nri3787

PubMed Abstract | Crossref Full Text | Google Scholar

42. Boxx GM and Cheng G. The roles of type I interferon in bacterial infection. Cell Host Microbe. (2016) 19:760–9. doi: 10.1016/j.chom.2016.05.016

PubMed Abstract | Crossref Full Text | Google Scholar

43. Moreira-Teixeira L, Mayer-Barber K, Sher A, and O’Garra A. Type I interferons in tuberculosis: Foe and occasionally friend. J Exp Med. (2018) 215:1273–85. doi: 10.1084/jem.20180325

PubMed Abstract | Crossref Full Text | Google Scholar

44. Scriba TJ, Penn-Nicholson A, Shankar S, Hraha T, Thompson EG, Sterling D, et al. Sequential inflammatory processes define human progression from M. tuberculosis infection to tuberculosis disease. PloS Pathog. (2017) 13:e1006687. doi: 10.1371/journal.ppat.1006687

PubMed Abstract | Crossref Full Text | Google Scholar

45. Zak DE, Penn-Nicholson A, Scriba TJ, Thompson E, Suliman S, Amon LM, et al. A blood RNA signature for tuberculosis disease risk: a prospective cohort study. Lancet. (2016) 387:2312–22. doi: 10.1016/S0140-6736(15)01316-1

PubMed Abstract | Crossref Full Text | Google Scholar

46. Darboe F, Reijneveld JF, Maison DP, Martinez L, and Suliman S. Unmasking the hidden impact of viruses on tuberculosis risk. Trends Immunol. (2024) 45:649–61. doi: 10.1016/j.it.2024.07.008

PubMed Abstract | Crossref Full Text | Google Scholar

47. Mayer-Barber KD and Barber DL. Innate and adaptive cellular immune responses to mycobacterium tuberculosis infection. Cold Spring Harb Perspect Med. (2015) 5:a018424. doi: 10.1101/cshperspect.a018424

PubMed Abstract | Crossref Full Text | Google Scholar

48. Beamer GL, Flaherty DK, Assogba BD, Stromberg P, Gonzalez-Juarrero M, de Waal Malefyt R, et al. Interleukin-10 promotes Mycobacterium tuberculosis disease progression in CBA/J mice. J Immunol. (2008) 181:5545–50. doi: 10.4049/jimmunol.181.8.5545

PubMed Abstract | Crossref Full Text | Google Scholar

49. Saghazadeh A and Rezaei N. Vascular endothelial growth factor levels in tuberculosis: A systematic review and meta-analysis. PLoS One. (2022) 17:e0268543. doi: 10.1371/journal.pone.0268543

PubMed Abstract | Crossref Full Text | Google Scholar

50. Kumar NP, Banurekha VV, Nair D, and Babu S. Circulating angiogenic factors as biomarkers of disease severity and bacterial burden in pulmonary tuberculosis. PLoS One. (2016) 11:e0146318. doi: 10.1371/journal.pone.0146318

PubMed Abstract | Crossref Full Text | Google Scholar

51. Urbanowski ME, Ordonez AA, Ruiz-Bedoya CA, Jain SK, and Bishai WR. Cavitary tuberculosis: the gateway of disease transmission. Lancet Infect Dis. (2020) 20:e117–28. doi: 10.1016/S1473-3099(20)30148-1

PubMed Abstract | Crossref Full Text | Google Scholar

52. Perrin FM, Woodward N, Phillips PP, McHugh TD, Nunn AJ, Lipman MC, et al. Radiological cavitation, sputum mycobacterial load and treatment response in pulmonary tuberculosis. Int J Tuberc Lung Dis. (2010) 14:1596–602.

PubMed Abstract | Google Scholar

53. Demitto FO, Araújo-Pereira M, Schmaltz CA, Sant’Anna FM, Arriaga MB, Andrade BB, et al. Impact of persistent anemia on systemic inflammation and tuberculosis outcomes in persons living with HIV. Front Immunol. (2020) 11:588405. doi: 10.3389/fimmu.2020.588405

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: cytomegalovirus, tuberculosis, cytokines, disease severity, treatment outcomes

Citation: Dasan B, Munisankar S, Kumar NP, Moideen K, Pandiarajan AN, Nott S, Viswanathan V, Shanmugam S, Hissar S, Thiruvengadam K, Kornfeld H and Babu S (2025) Impact of cytomegalovirus exposure on disease severity, bacterial burden, immune responses and treatment outcomes in tuberculosis. Front. Immunol. 16:1612709. doi: 10.3389/fimmu.2025.1612709

Received: 16 April 2025; Accepted: 28 August 2025;
Published: 18 September 2025.

Edited by:

Sudeep Kumar Maurya, University of Pittsburgh Medical Center, United States

Reviewed by:

Julio Flores González, National Institute of Respiratory Diseases-Mexico (INER), Mexico
Fatoumatta Darboe, University of California, San Francisco, United States

Copyright © 2025 Dasan, Munisankar, Kumar, Moideen, Pandiarajan, Nott, Viswanathan, Shanmugam, Hissar, Thiruvengadam, Kornfeld and Babu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Bindu Dasan, YmluZHVkYXNhbjg2QGdtYWls

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