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Li Z, Hu Y, Zou F, Gao W, Feng S, Chen G, Yang J, Wang W, Shi C, Cai Y, Deng G, Chen X. Assessing the risk of TB progression: Advances in blood-based biomarker research. Microbiol Res 2025; 292:128038. [PMID: 39752806 DOI: 10.1016/j.micres.2024.128038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2024] [Revised: 12/18/2024] [Accepted: 12/19/2024] [Indexed: 01/19/2025]
Abstract
This review addresses the significant advancements in the identification of blood-based prognostic biomarkers for tuberculosis (TB), highlighting the importance of early detection to prevent disease progression. The manuscript discusses various biomarker categories, including transcriptomic, proteomic, metabolomic, immune cell-based, cytokine-based, and antibody response-based markers, emphasizing their potential in predicting TB incidence. Despite promising results, practical application is hindered by high costs, technical complexities, and the need for extensive validation across diverse populations. Transcriptomic biomarkers, such as the Risk16 signature, show high sensitivity and specificity, while proteomic and metabolic markers provide insights into protein-level changes and biochemical alterations linked to TB. Immune cell and cytokine markers offer real-time data on the body's response to infection. The manuscript also explores the role of single-nucleotide polymorphisms in TB susceptibility and the challenges of implementing novel RNA signatures as point-of-care tests in low-resource settings. The review concludes that, while significant progress has been made, further research and development are necessary to refine these biomarkers, improve their practical application, and achieve the World Health Organization's TB elimination goals.
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Affiliation(s)
- Zhaodong Li
- Guangdong Key Laboratory of Regional Immunity and Diseases, Department of Pathogen Biology, Shenzhen University School of Medicine, Shenzhen 518000, China; Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen 518060, China
| | - Yunlong Hu
- Guangdong Key Laboratory of Regional Immunity and Diseases, Department of Pathogen Biology, Shenzhen University School of Medicine, Shenzhen 518000, China
| | - Fa Zou
- Guangdong Key Laboratory of Regional Immunity and Diseases, Department of Pathogen Biology, Shenzhen University School of Medicine, Shenzhen 518000, China
| | - Wei Gao
- Guangdong Key Laboratory of Regional Immunity and Diseases, Department of Pathogen Biology, Shenzhen University School of Medicine, Shenzhen 518000, China
| | - SiWan Feng
- Guangdong Key Laboratory of Regional Immunity and Diseases, Department of Pathogen Biology, Shenzhen University School of Medicine, Shenzhen 518000, China
| | - Guanghuan Chen
- Guangdong Key Laboratory of Regional Immunity and Diseases, Department of Pathogen Biology, Shenzhen University School of Medicine, Shenzhen 518000, China
| | - Jing Yang
- Guangdong Key Laboratory of Regional Immunity and Diseases, Department of Pathogen Biology, Shenzhen University School of Medicine, Shenzhen 518000, China
| | - Wenfei Wang
- National Clinical Research Center for Infectious Disease, The Third People's Hospital of Shenzhen, Southern University of Science and Technology, Shenzhen 518112, China
| | - Chenyan Shi
- Department of Preventive Medicine, School of Public Health, Shenzhen University, Shenzhen 518000, China
| | - Yi Cai
- Guangdong Key Laboratory of Regional Immunity and Diseases, Department of Pathogen Biology, Shenzhen University School of Medicine, Shenzhen 518000, China
| | - Guofang Deng
- Guangdong Key Lab for Diagnosis & Treatment of Emerging Infectious Diseases, Shenzhen Third People's Hospital, Shenzhen, China.
| | - Xinchun Chen
- Guangdong Key Laboratory of Regional Immunity and Diseases, Department of Pathogen Biology, Shenzhen University School of Medicine, Shenzhen 518000, China.
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Su H, Weng S, Luo L, Sun Q, Lin T, Ma H, He Y, Wu J, Wang H, Zhang W, Xu Y. Mycobacterium tuberculosis hijacks host macrophages-derived interleukin 16 to block phagolysosome maturation for enhancing intracellular growth. Emerg Microbes Infect 2024; 13:2322663. [PMID: 38380651 PMCID: PMC10911244 DOI: 10.1080/22221751.2024.2322663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 02/20/2024] [Indexed: 02/22/2024]
Abstract
The discovery of promising cytokines and clarification of their immunological mechanisms in controlling the intracellular fate of Mycobacterium tuberculosis (Mtb) are necessary to identify effective diagnostic biomarkers and therapeutic targets. To escape immune clearance, Mtb can manipulate and inhibit the normal host process of phagosome maturation. Phagosome maturation arrest by Mtb involves multiple effectors and much remains unknown about this important aspect of Mtb pathogenesis. In this study, we found that interleukin 16 (IL-16) is elevated in the serum samples of Tuberculosis (TB) patients and can serve as a specific target for treatment TB. There was a significant difference in IL-16 levels among active TB, latent TB infection (LTBI), and non-TB patients. This study first revealed that macrophages are the major source of IL-16 production in response to Mtb infection, and elucidated that IL-16 can promote Mtb intracellular survival by inhibiting phagosome maturation and suppressing the expression of Rev-erbα which can inhibit IL-10 secretion. The experiments using zebrafish larvae infected with M. marinum and mice challenged with H37Rv demonstrated that reducing IL-16 levels resulted in less severe pathology and improved survival, respectively. In conclusion, this study provided direct evidence that Mtb hijacks the host macrophages-derived interleukin 16 to enhance intracellular growth. It is suggesting the immunosuppressive role of IL-16 during Mtb infection, supporting IL-16 as a promising therapeutic target.
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Affiliation(s)
- Haibo Su
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, People’s Republic of China
- Department of Intensive Care Unit, the Second Affiliated Hospital, GMU-GIBH Joint School of Life Science, Guangzhou Medical University, Guangzhou, People’s Republic of China
| | - Shufeng Weng
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, People’s Republic of China
- Shanghai Sci-Tech Inno Center for Infection & Immunity, Shanghai, People’s Republic of China
| | - Liulin Luo
- Department of Clinical Laboratory, Yangpu Hospital, Tongji University School of Medicine, Shanghai, People’s Republic of China
| | - Qin Sun
- Shanghai Clinical Research Center for Infectious Disease (Tuberculosis), Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic of China
| | - Taiyue Lin
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, People’s Republic of China
| | - Huixia Ma
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, People’s Republic of China
| | - Yumo He
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, People’s Republic of China
| | - Jing Wu
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, People’s Republic of China
- Shanghai Sci-Tech Inno Center for Infection & Immunity, Shanghai, People’s Republic of China
| | - Honghai Wang
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, People’s Republic of China
| | - Wenhong Zhang
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, People’s Republic of China
- Shanghai Sci-Tech Inno Center for Infection & Immunity, Shanghai, People’s Republic of China
| | - Ying Xu
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Department of Infectious Diseases, Shanghai Key Laboratory of Infectious Diseases and Biosafety Emergency Response, National Medical Center for Infectious Diseases, Huashan Hospital, Fudan University, Shanghai, People’s Republic of China
- Shanghai Sci-Tech Inno Center for Infection & Immunity, Shanghai, People’s Republic of China
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Gautam A, Dasgupta A, Rout S, Bhattacharjee S, Pandit B. Genetic association of missense (rs2919643), intergenic (rs2057178) and a 3'UTR (rs1009170) variant with tuberculosis: A replication study from India. INFECTION, GENETICS AND EVOLUTION : JOURNAL OF MOLECULAR EPIDEMIOLOGY AND EVOLUTIONARY GENETICS IN INFECTIOUS DISEASES 2024; 126:105690. [PMID: 39547490 DOI: 10.1016/j.meegid.2024.105690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Revised: 11/05/2024] [Accepted: 11/08/2024] [Indexed: 11/17/2024]
Abstract
To investigate host genetic susceptibility to tuberculosis (TB), we conducted a replication study focussed on candidate SNPs, previously reported to be associated with TB. We examined nine candidate SNPs and genotyped them in an independent cohort of TB cases and household contacts from West Bengal, India. The association with TB was replicated for rs2919643 (Chr 18), rs2057178 (Chr 11) and rs1009170 (Chr 14). rs2919643-C (p=8.81E-5) was a risk allele and rs2057178-A (p=0.04188) was protective against TB in our population. Association of rs1009170; previously reported by us with TB was also replicated in the new set of samples (p=0.0359). rs2919643 is a missense variant present in linkage disequilibrium with a TB associated synonymous SNP rs61104666. The risk genotype rs2919643-CC was associated with higher levels of plasma RANTES and IL5 in household contacts. rs2919643 is an eQTL for an immunosuppressive gene SIGLEC15 and autophagy related gene EPG5. rs2057178 is an eQTL for a pseudogene and present within weak enhancer marks in the lungs. The genomic locus around this SNP rs1009170 encompasses an active transcription factor peak in CD14+ monocytes and also serves as an eQTL for NDUFB1, ATXN3 and SLC24A4. TB cases with rs1009170-TT genotype showed lower expression of plasma RANTES compared to the heterozygote. All three associated SNPs have putative regulatory role in lungs and immune associated cells and organs which may be relevant to TB pathogenesis.
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Affiliation(s)
- Anuradha Gautam
- BRIC-National Institute of Biomedical Genomics (NIBMG), Kalyani, West Bengal 741251, India
| | - Ahana Dasgupta
- BRIC-National Institute of Biomedical Genomics (NIBMG), Kalyani, West Bengal 741251, India
| | - Suvamita Rout
- BRIC-National Institute of Biomedical Genomics (NIBMG), Kalyani, West Bengal 741251, India
| | | | - Bhaswati Pandit
- BRIC-National Institute of Biomedical Genomics (NIBMG), Kalyani, West Bengal 741251, India.
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Dolezalova K, Hadlova P, Ibrahimova M, Golias J, Baca L, Kopecka E, Sukholytka M, Koziar Vasakova M. Flow cytometry-based method using diversity of cytokine production differentiates between Mycobacterium tuberculosis infection and disease. Tuberculosis (Edinb) 2024; 147:102518. [PMID: 38739968 DOI: 10.1016/j.tube.2024.102518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 05/04/2024] [Accepted: 05/07/2024] [Indexed: 05/16/2024]
Abstract
Authors present a pilot study of the development of innovative flow cytometry-based assay with a potential for use in tuberculosis diagnostics. Currently available tests do not provide robust discrimination between latent tuberculosis infection (TBI) and tuberculosis disease (TB). The desired application is to distinguish between the two conditions by evaluating the production of a combination of three cytokines: IL-2 (interleukin-2), IFNɣ (interferon gamma) and TNFɑ (tumor necrosis factor alpha) in CD4+ and CD8+ T cells. The study was conducted on 68 participants, divided into two arms according to age (paediatric and adults). Each arm was further split into three categories (non-infection (NI), TBI, TB) based on the immune reaction to Mycobacterium tuberculosis (M.tb) after a close contact with pulmonary TB. Each blood sample was stimulated with specific M.tb antigens present in QuantiFERON tubes (TB1 and TB2). We inferred TBI or TB based on the predominant cytokine response of the CD4+ and/or CD8+ T cells. Significant differences were detected between the NI, TBI and the TB groups in TB1 in the CD4+TNFɑ+parameter in children. Along with IL-2, TNFɑ seems to be the most promising diagnostic marker in both CD4+and CD8+ T cells. However, more detailed analyses on larger cohorts are needed to confirm the observed tendencies.
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Affiliation(s)
- Karolina Dolezalova
- Department of Paediatrics of the First Faculty of Medicine, Charles University, Thomayer University Hospital, Prague, Czech Republic.
| | - Petra Hadlova
- Childhood Leukaemia Investigation Prague (CLIP), 2nd Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Marketa Ibrahimova
- Laboratory of Immunology, Thomayer University Hospital, Prague, Czech Republic
| | - Jaroslav Golias
- Laboratory of Immunology, Thomayer University Hospital, Prague, Czech Republic
| | - Lubos Baca
- Department of Paediatrics of the First Faculty of Medicine, Charles University, Thomayer University Hospital, Prague, Czech Republic
| | - Emilia Kopecka
- Department of Respiratory Medicine of the First Faculty of Medicine Charles University, Thomayer University Hospital, Prague, Czech Republic
| | - Mariia Sukholytka
- Department of Respiratory Medicine of the First Faculty of Medicine Charles University, Thomayer University Hospital, Prague, Czech Republic
| | - Martina Koziar Vasakova
- Department of Respiratory Medicine of the First Faculty of Medicine Charles University, Thomayer University Hospital, Prague, Czech Republic
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Nosik M, Ryzhov K, Kudryavtseva AV, Kuimova U, Kravtchenko A, Sobkin A, Zverev V, Svitich O. Decreased IL-1 β Secretion as a Potential Predictor of Tuberculosis Recurrence in Individuals Diagnosed with HIV. Biomedicines 2024; 12:954. [PMID: 38790916 PMCID: PMC11117744 DOI: 10.3390/biomedicines12050954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Revised: 04/14/2024] [Accepted: 04/22/2024] [Indexed: 05/26/2024] Open
Abstract
Background: The mechanisms of the formation of immunological competence against tuberculosis (TB), and especially those associated with HIV co-infection, remain poorly understood. However, there is an urgent need for risk recurrence predictive biomarkers, as well as for predictors of successful treatment outcomes. The goal of the study was to identify possible immunological markers of TB recurrence in individuals with HIV/TB co-infection. Methods: The plasma levels of IFN-γ, TNF-α, IL-10, and IL-1β (cytokines which play important roles in the immune activation and protection against Mycobacterium tuberculosis) were measured using ELISA EIA-BEST kits. The cytokine concentrations were determined using a standard curve obtained with the standards provided by the manufacturer of each kit. Results: A total of 211 individuals were enrolled in the study as follows: 62 patients with HIV/TB co-infection, 52 with HIV monoinfection, 52 with TB monoinfection, and 45 healthy donors. Out of the 62 patients with HIV/TB, 75.8% (47) of patients were newly diagnosed with HIV and TB, and 24.2% (15) displayed recurrent TB and were newly diagnosed with HIV. Decreased levels of IFN-γ, TNF-α, and IL-10 were observed in patients with HIV/TB when compared with HIV and TB patients. However, there was no difference in IFN-γ, TNF-α, or IL-10 secretion between both HIV/TB groups. At the same time, an almost 4-fold decrease in Il-1β levels was detected in the HIV/TB group with TB recurrence when compared with the HIV/TB group (p = 0.0001); a 2.8-fold decrease when compared with HIV patients (p = 0.001); and a 2.2-fold decrease with newly diagnosed TB patients (p = 0.001). Conclusions: Significantly decreased Il-1β levels in HIV/TB patients' cohort with secondary TB indicate that this cytokine can be a potential biomarker of TB recurrence.
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Affiliation(s)
- Marina Nosik
- I.I. Mechnikov Institute of Vaccines and Sera, 105064 Moscow, Russia; (K.R.); (V.Z.); (O.S.)
| | - Konstantin Ryzhov
- I.I. Mechnikov Institute of Vaccines and Sera, 105064 Moscow, Russia; (K.R.); (V.Z.); (O.S.)
| | - Asya V. Kudryavtseva
- La Facultad de Ciencias Médicas, Universidad Bernardo O’Higgings-Escuela de Medicina, Santiago 8370993, Chile;
| | - Ulyana Kuimova
- Central Research Institute of Epidemiology, Rospotrebnadzor, 111123 Moscow, Russia; (U.K.); (A.K.)
| | - Alexey Kravtchenko
- Central Research Institute of Epidemiology, Rospotrebnadzor, 111123 Moscow, Russia; (U.K.); (A.K.)
| | - Alexandr Sobkin
- G.A. Zaharyan Moscow Tuberculosis Clinic, Department for Treatment of TB Patients with HIV, 125466 Moscow, Russia;
| | - Vitaly Zverev
- I.I. Mechnikov Institute of Vaccines and Sera, 105064 Moscow, Russia; (K.R.); (V.Z.); (O.S.)
| | - Oxana Svitich
- I.I. Mechnikov Institute of Vaccines and Sera, 105064 Moscow, Russia; (K.R.); (V.Z.); (O.S.)
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