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Hall TJ, McHugo GP, Mullen MP, Ward JA, Killick KE, Browne JA, Gordon SV, MacHugh DE. Integrative and comparative genomic analyses of mammalian macrophage responses to intracellular mycobacterial pathogens. Tuberculosis (Edinb) 2024; 147:102453. [PMID: 38071177 DOI: 10.1016/j.tube.2023.102453] [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: 07/17/2023] [Revised: 11/20/2023] [Accepted: 11/23/2023] [Indexed: 06/14/2024]
Abstract
Mycobacterium tuberculosis, the causative agent of human tuberculosis (hTB), is a close evolutionary relative of Mycobacterium bovis, which causes bovine tuberculosis (bTB), one of the most damaging infectious diseases to livestock agriculture. Previous studies have shown that the pathogenesis of bTB disease is comparable to hTB disease, and that the bovine and human alveolar macrophage (bAM and hAM, respectively) transcriptomes are extensively reprogrammed in response to infection with these intracellular mycobacterial pathogens. In this study, a multi-omics integrative approach was applied with functional genomics and GWAS data sets across the two primary hosts (Bos taurus and Homo sapiens) and both pathogens (M. bovis and M. tuberculosis). Four different experimental infection groups were used: 1) bAM infected with M. bovis, 2) bAM infected with M. tuberculosis, 3) hAM infected with M. tuberculosis, and 4) human monocyte-derived macrophages (hMDM) infected with M. tuberculosis. RNA-seq data from these experiments 24 h post-infection (24 hpi) was analysed using three computational pipelines: 1) differentially expressed genes, 2) differential gene expression interaction networks, and 3) combined pathway analysis. The results were integrated with high-resolution bovine and human GWAS data sets to detect novel quantitative trait loci (QTLs) for resistance to mycobacterial infection and resilience to disease. This revealed common and unique response macrophage pathways for both pathogens and identified 32 genes (12 bovine and 20 human) significantly enriched for SNPs associated with disease resistance, the majority of which encode key components of the NF-κB signalling pathway and that also drive formation of the granuloma.
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Affiliation(s)
- Thomas J Hall
- Animal Genomics Laboratory, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland
| | - Gillian P McHugo
- Animal Genomics Laboratory, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland
| | - Michael P Mullen
- Bioscience Research Institute, Technological University of the Shannon, Athlone, Westmeath, N37 HD68, Ireland
| | - James A Ward
- Animal Genomics Laboratory, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland
| | - Kate E Killick
- Animal Genomics Laboratory, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland
| | - John A Browne
- Animal Genomics Laboratory, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland
| | - Stephen V Gordon
- UCD School of Veterinary Medicine, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland; UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland
| | - David E MacHugh
- Animal Genomics Laboratory, UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland; UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland.
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2
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Sun Z, He B, Yang Z, Huang Y, Duan Z, Yu C, Dan Z, Paek C, Chen P, Zhou J, Lei J, Wang F, Liu B, Yin L. Cost-Effective Whole Transcriptome Sequencing Landscape and Diagnostic Potential Biomarkers in Active Tuberculosis. ACS Infect Dis 2024; 10:2318-2332. [PMID: 38832694 DOI: 10.1021/acsinfecdis.4c00374] [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] [Indexed: 06/05/2024]
Abstract
Tuberculosis (TB) is a prevalent and severe infectious disease that poses a significant threat to human health. However, it is frequently disregarded as there are not enough quick and accurate ways to diagnose tuberculosis. Here, we develop a strategy for tuberculosis detection to address the challenges, including an experimental strategy, namely, Double Adapter Directional Capture sequencing (DADCSeq), an easily operated and low-cost whole transcriptome sequencing method, and a computational method to identify hub differentially expressed genes as well as the diagnosis of TB based on whole transcriptome data using DADCSeq on peripheral blood mononuclear cells (PBMCs) from active TB and latent TB or healthy control. Applying our approach to create a robust and stable TB multi-mRNA risk probability model (TBMMRP) that can accurately distinguish active and latent TB patients, including active TB and healthy controls in clinical cohorts, this diagnostic biomarker was successfully validated by several independent cross-platform cohorts with favorable performance in differentiating active TB from latent TB or active TB from healthy controls and further demonstrated superior or similar diagnostic accuracy compared to previous diagnostic markers. Overall, we develop a low-cost and effective strategy for tuberculosis diagnosis; as the clinical cohort increases, we can expand to different disease kinds and learn new features through our disease diagnosis strategy.
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Affiliation(s)
- Zaiqiao Sun
- State Key Laboratory of Virology, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Department of Clinical Oncology, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, Hubei Province 430072, China
| | - Boxiao He
- State Key Laboratory of Virology, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Department of Clinical Oncology, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, Hubei Province 430072, China
| | - Zhifeng Yang
- Department of Chest Surgery, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei Province 430040, China
| | - Yi Huang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei Province 430030, China
| | - Zhaoyu Duan
- State Key Laboratory of Virology, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Department of Clinical Oncology, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, Hubei Province 430072, China
| | - Chengyi Yu
- Department of Active and Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei Province 430071, China
| | - Zhaokui Dan
- Clinical Medicine School of Hubei University of Science and Technology, Xianning, Hubei Province 437100, China
| | - Chonil Paek
- State Key Laboratory of Virology, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Department of Clinical Oncology, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, Hubei Province 430072, China
| | - Peng Chen
- State Key Laboratory of Virology, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Department of Clinical Oncology, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, Hubei Province 430072, China
| | - Jin Zhou
- State Key Laboratory of Virology, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Department of Clinical Oncology, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, Hubei Province 430072, China
| | - Jun Lei
- State Key Laboratory of Virology, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Department of Clinical Oncology, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, Hubei Province 430072, China
| | - Feng Wang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei Province 430030, China
| | - Bing Liu
- Department of Active and Critical Care Medicine, Zhongnan Hospital of Wuhan University, Wuhan, Hubei Province 430071, China
- Wuhan Research Center for Infectious Diseases and Cancer, Chinese Academy of Medical Sciences, Wuhan, Hubei Province 100730, China
| | - Lei Yin
- State Key Laboratory of Virology, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Department of Clinical Oncology, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, Hubei Province 430072, China
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Karbalaei M, Mosavat A, Soleimanpour S, Farsiani H, Ghazvini K, Amini AA, Sankian M, Rezaee SA. Production and Evaluation of Ag85B:HspX:hFcγ1 Immunogenicity as an Fc Fusion Recombinant Multi-Stage Vaccine Candidate Against Mycobacterium tuberculosis. Curr Microbiol 2024; 81:127. [PMID: 38575759 DOI: 10.1007/s00284-024-03655-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Accepted: 02/29/2024] [Indexed: 04/06/2024]
Abstract
An urgent need is to introduce an effective vaccine against Mycobacterium tuberculosis (M.tb) infection. In the present study, a multi-stage M.tb immunodominant Fcγ1 fusion protein (Ag85B:HspX:hFcγ1) was designed and produced, and the immunogenicity of purified protein was evaluated. This recombinant fusion protein was produced in the Pichia pastoris expression system. The HiTrap-rPA column affinity chromatography purified and confirmed the fusion protein using ELISA and Western blotting methods. The co-localisation assay was used to confirm its proper folding and function. IFN-γ, IL-12, IL-4, and TGF-β expression in C57BL/6 mice then evaluated the immunogenicity of the construct in the presence and absence of BCG. After expression optimisation, medium-scale production and the Western blotting test confirmed suitable production of Ag85B:HspX:hFcγ1. The co-localisation results on antigen-presenting cells (APCs) showed that Ag85B:HspX:hFcγ1 properly folded and bound to hFcγRI. This strong co-localisation with its receptor can confirm inducing proper Th1 responses. The in vivo immunisation assay showed no difference in the expression of IL-4 but a substantial increase in the expression of IFN-γ and IL-12 (P ≤ 0.02) and a moderate increase in TGF-β (P = 0.05). In vivo immunisation assay revealed that Th1-inducing pathways have been stimulated, as IFN-γ and IL-12 strongly, and TGF-β expression moderately increased in Ag85B:HspX:hFcγ1 group and Ag85B:HspX:hFcγ1+BCG. Furthermore, the production of IFN-γ from splenocytes in the Ag85B:HspX:hFcγ1 group was enormously higher than in other treatments. Therefore, this Fc fusion protein can make a selective multi-stage delivery system for inducing appropriate Th1 responses and is used as a subunit vaccine alone or in combination with others.
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Affiliation(s)
- Mohsen Karbalaei
- Department of Microbiology and Virology, School of Medicine, Jiroft University of Medical Sciences, Jiroft, Iran
| | - Arman Mosavat
- Blood Borne Infections Research Center, Academic Center for Education, Culture, and Research (ACECR), Razavi Khorasan, Mashhad, Iran
| | - Saman Soleimanpour
- Antimicrobial Resistance Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Microbiology and Virology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Hadi Farsiani
- Antimicrobial Resistance Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Microbiology and Virology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Kiarash Ghazvini
- Antimicrobial Resistance Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Microbiology and Virology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Abbas Ali Amini
- Cancer and Immunology Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Mojtaba Sankian
- Immunology Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Seyed Abdolrahim Rezaee
- Inflammation and Inflammatory Diseases Division, Faculty of Medicine, Immunology Research Center, Mashhad University of Medical Sciences, Azadi-Square, Medical Campus, Mashhad, 9177948564, Iran.
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Calles-Cabanillas LE, Aguillón-Durán GP, Ayala D, Caso JA, Garza M, Joya-Ayala M, Cruz-Gonzalez AM, Loera-Salazar R, Prieto-Martinez E, Rodríguez-Herrera JE, Garcia-Oropesa EM, Thomas JM, Lee M, Torrelles JB, Restrepo BI. Interaction between type 2 diabetes and past COVID-19 on active tuberculosis. RESEARCH SQUARE 2024:rs.3.rs-3989104. [PMID: 38559235 PMCID: PMC10980154 DOI: 10.21203/rs.3.rs-3989104/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
BACKGROUND The global setback in tuberculosis (TB) prevalence and mortality in the post-COVID-19 era have been partially attributed to pandemic-related disruptions in healthcare systems. The additional biological contribution of COVID-19 to TB is less clear. The goal of this study was to determine if there is an association between COVID-19 in the past 18 months and a new TB episode, and the role played by type 2 diabetes mellitus (DM) comorbidity in this relationship. METHODS A cross-sectional study was conducted among 112 new active TB patients and 373 non-TB controls, identified between June 2020 and November 2021 in communities along the Mexican border with Texas. Past COVID-19 was based on self-report or positive serology. Bivariable/multivariable analysis were used to evaluate the odds of new TB in hosts with past COVID-19 and/or DM status. RESULTS The odds of new TB were higher among past COVID-19 cases vs. controls, but only significant among DM patients (aOR 2.3). The odds of TB given DM was 2.7-fold among participants without past COVID-19 and increased to 7.9-fold among those with past COVID-19. CONCLUSION DM interacts with past COVID-19 synergistically to magnify the risk of TB. Latent TB screening and prophylactic treatment, if positive, is recommended in this COVID-19/DM/latent TB high-risk group.
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Affiliation(s)
| | | | - Doris Ayala
- University of Texas Health Science Center at Houston
| | - José A Caso
- University of Texas Health Science Center at Houston
| | - Miguel Garza
- University of Texas Health Science Center at Houston
| | | | | | | | | | | | | | | | - Miryoung Lee
- University of Texas Health Science Center at Houston
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Phat NK, Tien NTN, Anh NK, Yen NTH, Lee YA, Trinh HKT, Le KM, Ahn S, Cho YS, Park S, Kim DH, Long NP, Shin JG. Alterations of lipid-related genes during anti-tuberculosis treatment: insights into host immune responses and potential transcriptional biomarkers. Front Immunol 2023; 14:1210372. [PMID: 38022579 PMCID: PMC10644770 DOI: 10.3389/fimmu.2023.1210372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Accepted: 10/18/2023] [Indexed: 12/01/2023] Open
Abstract
Background The optimal diagnosis and treatment of tuberculosis (TB) are challenging due to underdiagnosis and inadequate treatment monitoring. Lipid-related genes are crucial components of the host immune response in TB. However, their dynamic expression and potential usefulness for monitoring response to anti-TB treatment are unclear. Methodology In the present study, we used a targeted, knowledge-based approach to investigate the expression of lipid-related genes during anti-TB treatment and their potential use as biomarkers of treatment response. Results and discussion The expression levels of 10 genes (ARPC5, ACSL4, PLD4, LIPA, CHMP2B, RAB5A, GABARAPL2, PLA2G4A, MBOAT2, and MBOAT1) were significantly altered during standard anti-TB treatment. We evaluated the potential usefulness of this 10-lipid-gene signature for TB diagnosis and treatment monitoring in various clinical scenarios across multiple populations. We also compared this signature with other transcriptomic signatures. The 10-lipid-gene signature could distinguish patients with TB from those with latent tuberculosis infection and non-TB controls (area under the receiver operating characteristic curve > 0.7 for most cases); it could also be useful for monitoring response to anti-TB treatment. Although the performance of the new signature was not better than that of previous signatures (i.e., RISK6, Sambarey10, Long10), our results suggest the usefulness of metabolism-centric biomarkers. Conclusions Lipid-related genes play significant roles in TB pathophysiology and host immune responses. Furthermore, transcriptomic signatures related to the immune response and lipid-related gene may be useful for TB diagnosis and treatment monitoring.
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Affiliation(s)
- Nguyen Ky Phat
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Nguyen Tran Nam Tien
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Nguyen Ky Anh
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Nguyen Thi Hai Yen
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Yoon Ah Lee
- School of Mathematics, Statistics and Data Science, Sungshin Women's University, Seoul, Republic of Korea
| | - Hoang Kim Tu Trinh
- Center for Molecular Biomedicine, University of Medicine and Pharmacy at Ho Chi Minh, Ho Chi Minh, Vietnam
| | - Kieu-Minh Le
- Center for Molecular Biomedicine, University of Medicine and Pharmacy at Ho Chi Minh, Ho Chi Minh, Vietnam
| | - Sangzin Ahn
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Yong-Soon Cho
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Seongoh Park
- School of Mathematics, Statistics and Data Science, Sungshin Women's University, Seoul, Republic of Korea
- Data Science Center, Sungshin Women's University, Seoul, Republic of Korea
| | - Dong Hyun Kim
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea
| | - Nguyen Phuoc Long
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Jae-Gook Shin
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
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Bloom BR. A half-century of research on tuberculosis: Successes and challenges. J Exp Med 2023; 220:e20230859. [PMID: 37552470 PMCID: PMC10407785 DOI: 10.1084/jem.20230859] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 07/20/2023] [Accepted: 07/21/2023] [Indexed: 08/09/2023] Open
Abstract
Great progress has been made over the past half-century, but TB remains a formidable global health problem, particularly in low- and middle-income countries. Understanding the mechanisms of pathogenesis and necessary and sufficient conditions for protection are critical. The need for inexpensive and sensitive point-of-care diagnostic tests for earlier detection of infection and disease, shorter and less-toxic drug regimens for drug-sensitive and -resistant TB, and a more effective vaccine than BCG is immense. New and better tools, greater support for international research, collaborations, and training will be required to dramatically reduce the burden of this devastating disease which still kills 1.6 million people annually.
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Affiliation(s)
- Barry R. Bloom
- Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Wu S, Liang T, Jiang J, Zhu J, Chen T, Zhou C, Huang S, Yao Y, Guo H, Ye Z, Chen L, Chen W, Fan B, Qin J, Liu L, Wu S, Ma F, Zhan X, Liu C. Proteomic analysis to identification of hypoxia related markers in spinal tuberculosis: a study based on weighted gene co-expression network analysis and machine learning. BMC Med Genomics 2023; 16:142. [PMID: 37340462 DOI: 10.1186/s12920-023-01566-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 05/31/2023] [Indexed: 06/22/2023] Open
Abstract
OBJECTIVE This article aims at exploring the role of hypoxia-related genes and immune cells in spinal tuberculosis and tuberculosis involving other organs. METHODS In this study, label-free quantitative proteomics analysis was performed on the intervertebral discs (fibrous cartilaginous tissues) obtained from five spinal tuberculosis (TB) patients. Key proteins associated with hypoxia were identified using molecular complex detection (MCODE), weighted gene co-expression network analysis(WGCNA), least absolute shrinkage and selection operator (LASSO), and support vector machine recursive feature Elimination (SVM-REF) methods, and their diagnostic and predictive values were assessed. Immune cell correlation analysis was then performed using the Single Sample Gene Set Enrichment Analysis (ssGSEA) method. In addition, a pharmaco-transcriptomic analysis was also performed to identify targets for treatment. RESULTS The three genes, namely proteasome 20 S subunit beta 9 (PSMB9), signal transducer and activator of transcription 1 (STAT1), and transporter 1 (TAP1), were identified in the present study. The expression of these genes was found to be particularly high in patients with spinal TB and other extrapulmonary TB, as well as in TB and multidrug-resistant TB (p-value < 0.05). They revealed high diagnostic and predictive values and were closely related to the expression of multiple immune cells (p-value < 0.05). It was inferred that the expression of PSMB9, STAT 1, and TAP1 could be regulated by different medicinal chemicals. CONCLUSION PSMB9, STAT1, and TAP1, might play a key role in the pathogenesis of TB, including spinal TB, and the protein product of the genes can be served as diagnostic markers and potential therapeutic target for TB.
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Affiliation(s)
- Shaofeng Wu
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Tuo Liang
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Jie Jiang
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Jichong Zhu
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Tianyou Chen
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Chenxing Zhou
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Shengsheng Huang
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yuanlin Yao
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Hao Guo
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Zhen Ye
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Liyi Chen
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Wuhua Chen
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Binguang Fan
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Jiahui Qin
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Lu Liu
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Siling Wu
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Fengzhi Ma
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Xinli Zhan
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
| | - Chong Liu
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
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8
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Njekwa K, Muyoyeta M, Mulenga B, Chisenga CC, Simuyandi M, Chilengi R. Superimposed Pulmonary Tuberculosis (PTB) in a 26-Year-Old Female with No Underlying Co-Morbidities Recovering from COVID-19-Case Report. Trop Med Infect Dis 2023; 8:tropicalmed8050268. [PMID: 37235316 DOI: 10.3390/tropicalmed8050268] [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: 03/20/2023] [Revised: 04/16/2023] [Accepted: 04/26/2023] [Indexed: 05/28/2023] Open
Abstract
Tuberculosis before the COVID-19 pandemic is said to have killed more people globally than any other communicable disease and is ranked the 13th cause of death, according to the WHO. Tuberculosis also still remains highly endemic, especially in LIMCs with a high burden of people living with HIV/AIDS, in which it is the leading cause of mortality. Given the risk factors associated with COVID-19, the cross similarities between tuberculosis and COVID-19 symptoms, and the paucity of data on how both diseases impact each other, there is a need to generate more information on COVID-19-TB co-infection. In this case report, we present a young female patient of reproductive age with no underlying comorbidities recovering from COVID-19, who later presented with pulmonary tuberculosis. It describes the series of investigations performed and treatments given during the follow-up. There is a need for more surveillance for possible COVID-19-TB co-infection cases and further research to understand the impact of COVID-19 on tuberculosis and vice versa, especially in LMICs.
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Affiliation(s)
- Katanekwa Njekwa
- Center for Infectious Disease Research in Zambia (CIDRZ), P.O. Box 34681, Lusaka 10101, Zambia
| | - Monde Muyoyeta
- Center for Infectious Disease Research in Zambia (CIDRZ), P.O. Box 34681, Lusaka 10101, Zambia
- Tuberculosis Programs-Director, Centre for Infectious Disease Research, P.O. Box 34681, Lusaka 10101, Zambia
| | - Bavin Mulenga
- Center for Infectious Disease Research in Zambia (CIDRZ), P.O. Box 34681, Lusaka 10101, Zambia
| | | | - Michelo Simuyandi
- Center for Infectious Disease Research in Zambia (CIDRZ), P.O. Box 34681, Lusaka 10101, Zambia
- Enteric Diseases and Vaccine Research Unit (EDVRU)-Director, P.O. Box 34681, Lusaka 10101, Zambia
| | - Roma Chilengi
- Center for Infectious Disease Research in Zambia (CIDRZ), P.O. Box 34681, Lusaka 10101, Zambia
- Zambia National Public Health Institute (ZNPHI)-Director, H9M2+WGX, Lusaka 10101, Zambia
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9
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Zhou C, Liang T, Jiang J, Chen J, Chen T, Huang S, Chen L, Sun X, Chen W, Zhu J, Wu S, Fan B, Liu C, Zhan X. MMP9 and STAT1 are biomarkers of the change in immune infiltration after anti-tuberculosis therapy, and the immune status can identify patients with spinal tuberculosis. Int Immunopharmacol 2023; 116:109588. [PMID: 36773569 DOI: 10.1016/j.intimp.2022.109588] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 11/22/2022] [Accepted: 12/09/2022] [Indexed: 02/11/2023]
Abstract
BACKGROUND Due to a lack of studies on immune-related pathogenesis and a clinical diagnostic model, the diagnosis of Spinal Tuberculosis (STB) remains uncertain. Our study aimed to investigate the possible pathogenesis of STB and to develop a clinical diagnostic model for STB based on immune cell infiltration. METHODS Label-free quantification protein analysis of five pairs of specimens was used to determine the protein expression of the intervertebral disc in STB and non-STB. GO enrichment analysis, and KEGG pathway analysis were used to investigate the pathogenesis of STB. The Hub proteins were then eliminated. Four datasets were downloaded from the GEO database to analyze immune cell infiltration, and the results were validated using blood routine test data from 8535TB and 7337 non-TB patients. Following that, clinical data from 164 STB and 162 non-STB patients were collected. The Random-Forest algorithm was used to screen out clinical predictors of STB and build a diagnostic model. The differential expression of MMP9 and STAT1 in STB and controls was confirmed using immunohistochemistry. RESULTS MMP9 and STAT1 were STB Hub proteins that were linked to disc destruction in STB. MMP9 and STAT1 were found to be associated with Monocytes, Neutrophils, and Lymphocytes in immune cell infiltration studies. Data from 15,872 blood routine tests revealed that the Monocytes ratio and Neutrophils ratio was significantly higher in TB patients than in non-TB patients (p < 0.001), while the Lymphocytes ratio was significantly lower in TB patients than in non-TB patients (p < 0.001). MMP9 and STAT1 expression were downregulated following the anti-TB therapy. For STB, a clinical diagnostic model was built using six clinical predictors: MR, NR, LR, ESR, BMI, and PLT. The model was evaluated using a ROC curve, which yielded an AUC of 0.816. CONCLUSIONS MMP9 and STAT1, immune-related hub proteins, were correlated with immune cell infiltration in STB patients. MR, NR, LR ESR, BMI, and PLT were clinical predictors of STB. Thus, the immune cell Infiltration-related clinical diagnostic model can predict STB effectively.
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Affiliation(s)
- Chenxing Zhou
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, PR China.
| | - Tuo Liang
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, PR China.
| | - Jie Jiang
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, PR China.
| | - Jiarui Chen
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, PR China.
| | - Tianyou Chen
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, PR China.
| | - Shengsheng Huang
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, PR China.
| | - Liyi Chen
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, PR China.
| | - Xuhua Sun
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, PR China.
| | - Wenkang Chen
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, PR China.
| | - Jichong Zhu
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, PR China.
| | - Shaofeng Wu
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, PR China.
| | - Binguang Fan
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, PR China.
| | - Chong Liu
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, PR China.
| | - Xinli Zhan
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, PR China.
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10
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Kathamuthu GR, Moideen K, Sridhar R, Baskaran D, Babu S. Systemic Levels of Pro-Inflammatory Cytokines and Post-Treatment Modulation in Tuberculous Lymphadenitis. Trop Med Infect Dis 2023; 8:tropicalmed8030150. [PMID: 36977151 PMCID: PMC10053505 DOI: 10.3390/tropicalmed8030150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 02/13/2023] [Accepted: 02/21/2023] [Indexed: 03/08/2023] Open
Abstract
Pro-inflammatory cytokines are potent stimulators of inflammation and immunity and markers of infection severity and bacteriological burden in pulmonary tuberculosis (PTB). Interferons could have both host-protective and detrimental effects on tuberculosis disease. However, their role has not been studied in tuberculous lymphadenitis (TBL). Thus, we evaluated the systemic pro-inflammatory (interleukin (IL)-12, IL-23, interferon (IFN)α, and IFNβ) cytokine levels in TBL, latent tuberculosis (LTBI), and healthy control (HC) individuals. In addition, we also measured the baseline (BL) and post-treatment (PT) systemic levels in TBL individuals. We demonstrate that TBL individuals are characterized by increased pro-inflammatory (IL-12, IL-23, IFNα, IFNβ) cytokines when compared to LTBI and HC individuals. We also show that after anti-tuberculosis treatment (ATT) completion, the systemic levels of pro-inflammatory cytokines were significantly modulated in TBL individuals. A receiver operating characteristic (ROC) analysis revealed IL-23, IFNα, and IFNβ significantly discriminated TBL disease from LTBI and/or HC individuals. Hence, our study demonstrates the altered systemic levels of pro-inflammatory cytokines and their reversal after ATT, suggesting that they are markers of disease pathogenesis/severity and altered immune regulation in TBL disease.
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Affiliation(s)
- Gokul Raj Kathamuthu
- National Institutes of Health-NIRT-International Center for Excellence in Research, Chennai 600 031, India
- National Institute for Research in Tuberculosis (NIRT), Chennai 600 031, India
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, 171 77 Solna, Sweden
- Correspondence:
| | - Kadar Moideen
- National Institutes of Health-NIRT-International Center for Excellence in Research, Chennai 600 031, India
| | | | - Dhanaraj Baskaran
- National Institute for Research in Tuberculosis (NIRT), Chennai 600 031, India
| | - Subash Babu
- National Institutes of Health-NIRT-International Center for Excellence in Research, Chennai 600 031, India
- Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892-0425, USA
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11
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Borborema MEDA, de Lucena TMC, Silva JDA. Vitamin D and estrogen steroid hormones and their immunogenetic roles in Infectious respiratory (TB and COVID-19) diseases. Genet Mol Biol 2023; 46:e20220158. [PMID: 36745756 PMCID: PMC9901533 DOI: 10.1590/1415-4757-gmb-2022-0158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 12/07/2022] [Indexed: 02/08/2023] Open
Abstract
The role of steroid hormones against infectious diseases has been extensively studied. From immunomodulatory action to direct inhibition of microorganism growth, hormones D3 (VD3) and 17β-estradiol (E2), and the genetic pathways modulated by them, are key targets for a better understanding pathogenesis of infectious respiratory diseases (IRD) such as tuberculosis (TB) and the coronavirus disease-19 (COVID-19). Currently, the world faces two major public health problems, the outbreak of COVID-19, accounting for more than 6 million so far, and TB, more than 1 million deaths per year. Both, although resulting from different pathogens, the Mtb and the SARS-CoV-2, respectively, are considered serious and epidemic. TB and COVID-19 present similar infection rates between men and women, however the number of complications and deaths resulting from the two infections is higher in men when compared to women in childbearing age, which may indicate a role of the sex hormone E2 in the context of these diseases. E2 and VD3 act upon key gene pathways as important immunomodulatory players and supporting molecules in IRDs. This review summarizes the main roles of these hormones (VD3 and E2) in modulating immune and inflammatory responses and their relationship with TB and COVID-19.
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Affiliation(s)
- Maria Eduarda de Albuquerque Borborema
- Universidade Federal de Pernambuco, Departamento de Genética, Laboratório de Genética e Biologia Molecular Humana (LGBMH), Recife, PE, Brazil
- Universidade Federal de Pernambuco, Laboratório de Imunopatologia Keizo Asami (LIKA), Recife, PE, Brazil
| | - Thays Maria Costa de Lucena
- Universidade Federal de Pernambuco, Departamento de Genética, Laboratório de Genética e Biologia Molecular Humana (LGBMH), Recife, PE, Brazil
- Universidade Federal de Pernambuco, Laboratório de Imunopatologia Keizo Asami (LIKA), Recife, PE, Brazil
| | - Jaqueline de Azevêdo Silva
- Universidade Federal de Pernambuco, Departamento de Genética, Laboratório de Genética e Biologia Molecular Humana (LGBMH), Recife, PE, Brazil
- Universidade Federal de Pernambuco, Laboratório de Imunopatologia Keizo Asami (LIKA), Recife, PE, Brazil
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12
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Anh NK, Phat NK, Yen NTH, Jayanti RP, Thu VTA, Park YJ, Cho YS, Shin JG, Kim DH, Oh JY, Long NP. Comprehensive lipid profiles investigation reveals host metabolic and immune alterations during anti-tuberculosis treatment: Implications for therapeutic monitoring. Biomed Pharmacother 2023; 158:114187. [PMID: 36916440 DOI: 10.1016/j.biopha.2022.114187] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 12/19/2022] [Accepted: 12/28/2022] [Indexed: 01/05/2023] Open
Abstract
In this study, we investigated the lipidome of tuberculosis patients during standard chemotherapy to discover biosignatures that could aid therapeutic monitoring. UPLC-QToF MS was used to analyze 82 baseline and treatment plasma samples of patients with pulmonary tuberculosis. Subsequently, a data-driven and knowledge-based workflow, including robust annotation, statistical analysis, and functional analysis, was applied to assess lipid profiles during treatment. Overall, the lipids species from 17 lipid subclasses were significantly altered by anti-tuberculosis chemotherapy. Cholesterol ester (CE), monoacylglycerols, and phosphatidylcholine (PC) were upregulated, whereas triacylglycerols, sphingomyelin, and ether-linked phosphatidylethanolamines (PE O-) were downregulated. Notably, PCs demonstrated a clear upward expression pattern during tuberculosis treatment. Several lipid species were identified as potential biomarkers for therapeutic monitoring, such as PC(42:6), PE(O-40:5), CE(24:6), and dihexosylceramide Hex2Cer(34:2;2 O). Functional and lipid gene enrichment analysis revealed alterations in pathways related to lipid metabolism and host immune responses. In conclusion, this study provides a foundation for the use of lipids as biomarkers for clinical management of tuberculosis.
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Affiliation(s)
- Nguyen Ky Anh
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea; Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Nguyen Ky Phat
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea; Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Nguyen Thi Hai Yen
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea; Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Rannissa Puspita Jayanti
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea; Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Vo Thuy Anh Thu
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea; Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Young Jin Park
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea
| | - Yong-Soon Cho
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea; Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Jae-Gook Shin
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea; Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea; Department of Clinical Pharmacology, Inje University Busan Paik Hospital, Busan, Republic of Korea
| | - Dong Hyun Kim
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea
| | - Jee Youn Oh
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea.
| | - Nguyen Phuoc Long
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea; Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea.
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13
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Zsichla L, Müller V. Risk Factors of Severe COVID-19: A Review of Host, Viral and Environmental Factors. Viruses 2023; 15:175. [PMID: 36680215 PMCID: PMC9863423 DOI: 10.3390/v15010175] [Citation(s) in RCA: 35] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 01/04/2023] [Accepted: 01/04/2023] [Indexed: 01/11/2023] Open
Abstract
The clinical course and outcome of COVID-19 are highly variable, ranging from asymptomatic infections to severe disease and death. Understanding the risk factors of severe COVID-19 is relevant both in the clinical setting and at the epidemiological level. Here, we provide an overview of host, viral and environmental factors that have been shown or (in some cases) hypothesized to be associated with severe clinical outcomes. The factors considered in detail include the age and frailty, genetic polymorphisms, biological sex (and pregnancy), co- and superinfections, non-communicable comorbidities, immunological history, microbiota, and lifestyle of the patient; viral genetic variation and infecting dose; socioeconomic factors; and air pollution. For each category, we compile (sometimes conflicting) evidence for the association of the factor with COVID-19 outcomes (including the strength of the effect) and outline possible action mechanisms. We also discuss the complex interactions between the various risk factors.
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Affiliation(s)
- Levente Zsichla
- Institute of Biology, Eötvös Loránd University, 1117 Budapest, Hungary
- National Laboratory for Health Security, Eötvös Loránd University, 1117 Budapest, Hungary
| | - Viktor Müller
- Institute of Biology, Eötvös Loránd University, 1117 Budapest, Hungary
- National Laboratory for Health Security, Eötvös Loránd University, 1117 Budapest, Hungary
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14
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Llibre A, Smith N, Rouilly V, Musvosvi M, Nemes E, Posseme C, Mabwe S, Charbit B, Mbandi SK, Filander E, Africa H, Saint-André V, Bondet V, Bost P, Mulenga H, Bilek N, Albert ML, Scriba TJ, Duffy D. Tuberculosis alters immune-metabolic pathways resulting in perturbed IL-1 responses. Front Immunol 2022; 13:897193. [PMID: 36591308 PMCID: PMC9795069 DOI: 10.3389/fimmu.2022.897193] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 09/12/2022] [Indexed: 12/15/2022] Open
Abstract
Tuberculosis (TB) remains a major public health problem and we lack a comprehensive understanding of how Mycobacterium tuberculosis (M. tb) infection impacts host immune responses. We compared the induced immune response to TB antigen, BCG and IL-1β stimulation between latently M. tb infected individuals (LTBI) and active TB patients. This revealed distinct responses between TB/LTBI at transcriptomic, proteomic and metabolomic levels. At baseline, we identified a novel immune-metabolic association between pregnane steroids, the PPARγ pathway and elevated plasma IL-1ra in TB. We observed dysregulated IL-1 responses after BCG stimulation in TB patients, with elevated IL-1ra responses being explained by upstream TNF differences. Additionally, distinct secretion of IL-1α/IL-1β in LTBI/TB after BCG stimulation was associated with downstream differences in granzyme mediated cleavage. Finally, IL-1β driven signalling was dramatically perturbed in TB disease but was completely restored after successful treatment. This study improves our knowledge of how immune responses are altered during TB disease, and may support the design of improved preventive and therapeutic tools, including host-directed strategies.
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Affiliation(s)
- Alba Llibre
- Translational Immunology Unit, Institut Pasteur, Université Paris Cité, Paris, France
| | - Nikaïa Smith
- Translational Immunology Unit, Institut Pasteur, Université Paris Cité, Paris, France
| | | | - Munyaradzi Musvosvi
- South African Tuberculosis Vaccine Initiative (SATVI), Division of Immunology, Department of Pathology and Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Elisa Nemes
- South African Tuberculosis Vaccine Initiative (SATVI), Division of Immunology, Department of Pathology and Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Céline Posseme
- Translational Immunology Unit, Institut Pasteur, Université Paris Cité, Paris, France
| | - Simbarashe Mabwe
- South African Tuberculosis Vaccine Initiative (SATVI), Division of Immunology, Department of Pathology and Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Bruno Charbit
- Cytometry and Biomarkers UTechS, CRT, Institut Pasteur, Université Paris Cité, Paris, France
| | - Stanley Kimbung Mbandi
- South African Tuberculosis Vaccine Initiative (SATVI), Division of Immunology, Department of Pathology and Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Elizabeth Filander
- South African Tuberculosis Vaccine Initiative (SATVI), Division of Immunology, Department of Pathology and Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Hadn Africa
- South African Tuberculosis Vaccine Initiative (SATVI), Division of Immunology, Department of Pathology and Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Violaine Saint-André
- Translational Immunology Unit, Institut Pasteur, Université Paris Cité, Paris, France,Bioinformatics and Biostatistics HUB, Computational Biology Department, Institut Pasteur, Université Paris Cité, Paris, France
| | - Vincent Bondet
- Translational Immunology Unit, Institut Pasteur, Université Paris Cité, Paris, France
| | - Pierre Bost
- Sorbonne Université, Complexité du vivant, Paris, France,Systems Biology Group, Computational Biology Department, Institut Pasteur, Université Paris Cité, Paris, France
| | - Humphrey Mulenga
- South African Tuberculosis Vaccine Initiative (SATVI), Division of Immunology, Department of Pathology and Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Nicole Bilek
- South African Tuberculosis Vaccine Initiative (SATVI), Division of Immunology, Department of Pathology and Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | | | - Thomas J. Scriba
- South African Tuberculosis Vaccine Initiative (SATVI), Division of Immunology, Department of Pathology and Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Darragh Duffy
- Translational Immunology Unit, Institut Pasteur, Université Paris Cité, Paris, France,Cytometry and Biomarkers UTechS, CRT, Institut Pasteur, Université Paris Cité, Paris, France,*Correspondence: Darragh Duffy,
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15
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Rinchai D, Chaussabel D. A training curriculum for retrieving, structuring, and aggregating information derived from the biomedical literature and large-scale data repositories. F1000Res 2022. [DOI: 10.12688/f1000research.122811.1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
Background: Biomedical research over the past two decades has become data and information rich. This trend has been in large part driven by the development of systems-scale molecular profiling capabilities and by the increasingly large volume of publications contributed by the biomedical research community. It has therefore become important for early career researchers to learn to leverage this wealth of information in their own research. Methods: Here we describe in detail a training curriculum focusing on the development of foundational skills necessary to retrieve, structure, and aggregate information available from vast stores of publicly available information. It is provided along with supporting material and an illustrative use case. The stepwise workflow encompasses; 1) Selecting a candidate gene; 2) Retrieving background information about the gene; 3) Profiling its literature; 4) Identifying in the literature instances where its transcript abundance changes in blood of patients; 5) Retrieving transcriptional profiling data from public blood transcriptome and reference datasets; and 6) Drafting a manuscript, submitting it for peer-review, and publication. Results: This resource may be leveraged by instructors who wish to organize hands-on workshops. It can also be used by independent trainees as a self-study toolkit. The workflow presented as proof-of-concept was designed to establish a resource for assessing a candidate gene’s potential utility as a blood transcriptional biomarker. Trainees will learn to retrieve literature and public transcriptional profiling data associated with a specific gene of interest. They will also learn to extract, structure, and aggregate this information to support downstream interpretation efforts as well as the preparation of a manuscript. Conclusions: This resource should support early career researchers in their efforts to acquire skills that will permit them to leverage the vast amounts of publicly available large-scale profiling data.
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16
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Arriaga MB, Karim F, Queiroz ATL, Araújo-Pereira M, Barreto-Duarte B, Sales C, Moosa MYS, Mazibuko M, Milne GL, Maruri F, Serezani CH, Koethe JR, Figueiredo MC, Kritski AL, Cordeiro-Santos M, Rolla VC, Sterling TR, Leslie A, Andrade BB. Effect of Dysglycemia on Urinary Lipid Mediator Profiles in Persons With Pulmonary Tuberculosis. Front Immunol 2022; 13:919802. [PMID: 35874781 PMCID: PMC9304990 DOI: 10.3389/fimmu.2022.919802] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 06/20/2022] [Indexed: 11/13/2022] Open
Abstract
Background Oxidized lipid mediators such as eicosanoids play a central role in the inflammatory response associated with tuberculosis (TB) pathogenesis. Diabetes mellitus (DM) leads to marked changes in lipid mediators in persons with TB. However, the associations between diabetes-related changes in lipid mediators and clearance of M. tuberculosis (Mtb) among persons on anti-TB treatment (ATT) are unknown. Quantification of urinary eicosanoid metabolites can provide insights into the circulating lipid mediators involved in Mtb immune responses. Methods We conducted a multi-site prospective observational study among adults with drug-sensitive pulmonary TB and controls without active TB; both groups had sub-groups with or without dysglycemia at baseline. Participants were enrolled from RePORT-Brazil (Salvador site) and RePORT-South Africa (Durban site) and stratified according to TB status and baseline glycated hemoglobin levels: a) TB-dysglycemia (n=69); b) TB-normoglycemia (n=64); c) non-TB/dysglycemia (n=31); d) non-TB/non-dysglycemia (n=29). We evaluated the following urinary eicosanoid metabolites: 11α-hydroxy-9,15-dioxo-2,3,4,5-tetranor-prostane-1,20-dioic acid (major urinary metabolite of prostaglandin E2, PGE-M), tetranor-PGE1 (metabolite of PGE2, TN-E), 9α-hydroxy-11,15-dioxo-2,3,4,5-tetranor-prostane-1,20-dioic acid (metabolite of PGD2, PGD-M), 11-dehydro-thromboxane B2 (11dTxB2), 2,3-dinor-6-keto-PGF1α (prostaglandin I metabolite, PGI-M), and leukotriene E4 (LTE4). Comparisons between the study groups were performed at three time points: before ATT and 2 and 6 months after initiating therapy. Results PGE-M and LTE4 values were consistently higher at all three time-points in the TB-dysglycemia group compared to the other groups (p<0.001). In addition, there was a significant decrease in PGI-M and LTE4 levels from baseline to month 6 in the TB-dysglycemia and TB-normoglycemia groups. Finally, TB-dysglycemia was independently associated with increased concentrations of PGD-M, PGI-M, and LTE4 at baseline in a multivariable model adjusting for age, sex, BMI, and study site. These associations were not affected by HIV status. Conclusion The urinary eicosanoid metabolite profile was associated with TB-dysglycemia before and during ATT. These observations can help identify the mechanisms involved in the pathogenesis of TB-dysglycemia, and potential biomarkers of TB treatment outcomes, including among persons with dysglycemia.
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Affiliation(s)
- María B Arriaga
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil.,Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil.,Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Brazil.,Instituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Farina Karim
- Department of Infectious Diseases, Nelson R. Mandela School of Clinical Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Artur T L Queiroz
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil.,Center of Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil
| | - Mariana Araújo-Pereira
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil.,Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil.,Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Brazil
| | - Beatriz Barreto-Duarte
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil.,Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil.,Curso de Medicina, Universidade Salvador (UNIFACS), Salvador, Brazil
| | - Caio Sales
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil.,Curso de Medicina, Universidade Salvador (UNIFACS), Salvador, Brazil
| | | | - Matilda Mazibuko
- Department of Infectious Diseases, Nelson R. Mandela School of Clinical Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Ginger L Milne
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, United States
| | - Fernanda Maruri
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, United States
| | - Carlos Henrique Serezani
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, United States
| | - John R Koethe
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, United States
| | - Marina C Figueiredo
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, United States
| | - Afrânio L Kritski
- Programa Acadêmico de Tuberculose da Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Marcelo Cordeiro-Santos
- Fundação Medicina Tropical Dr Heitor Vieira Dourado, Manaus, Brazil.,Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas, Manaus, Brazil.,Universidade Federal do Amazonas, Manaus, Brazil
| | - Valeria C Rolla
- Laboratório de Pesquisa Clínica em Micobacteriose, Instituto Nacional de Infectologia Evandro Chagas, Fiocruz, Rio de Janeiro, Brazil
| | - Timothy R Sterling
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, United States
| | - Alasdair Leslie
- Africa Health Research Institute, Durban, South Africa.,Division of Infection and Immunity, University College London, London, United Kingdom
| | - Bruno B Andrade
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil.,Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil.,Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Brazil.,Curso de Medicina, Universidade Salvador (UNIFACS), Salvador, Brazil.,Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, United States.,Curso de Medicina, Escola Bahiana de Medicina e Saúde Pública (EBMSP), Salvador, Brazil
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17
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Sheerin D, Abhimanyu, Peton N, Vo W, Allison CC, Wang X, Johnson WE, Coussens AK. Immunopathogenic overlap between COVID-19 and tuberculosis identified from transcriptomic meta-analysis and human macrophage infection. iScience 2022; 25:104464. [PMID: 35634577 PMCID: PMC9130411 DOI: 10.1016/j.isci.2022.104464] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Revised: 01/14/2022] [Accepted: 05/18/2022] [Indexed: 12/25/2022] Open
Abstract
Current and previous tuberculosis (TB) increase the risk of COVID-19 mortality and severe disease. To identify mechanisms of immunopathogenic interaction between COVID-19 and TB, we performed a systematic review and patient-level meta-analysis of COVID-19 transcriptomic signatures, spanning disease severity, from whole blood, PBMCs, and BALF. 35 eligible signatures were profiled on 1181 RNA-seq samples from 853 individuals across the spectrum of TB infection. Thirteen COVID-19 gene-signatures had significantly higher "COVID-19 risk scores" in active TB and latent TB progressors compared with non-progressors and uninfected controls (p<0·005), in three independent cohorts. Integrative single-cell-RNAseq analysis identified FCN1- and SPP1-expressing macrophages enriched in severe COVID-19 BALF and active TB blood. Gene ontology and protein-protein interaction networks identified 12-gene disease-exacerbation hot spots between COVID-19 and TB. Finally, we in vitro validated that SARS-CoV-2 infection is increased in human macrophages cultured in the inflammatory milieu of Mtb-infected macrophages, correlating with TMPRSS2, IFNA1, IFNB1, IFNG, TNF, and IL1B induction.
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Affiliation(s)
- Dylan Sheerin
- Infectious Diseases and Immune Defence Division, The Walter & Eliza Hall Institute of Medical Research, Parkville 3279, VIC, Australia
| | - Abhimanyu
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, Department of Pathology, University of Cape Town, Observatory, 7925 Western Cape, South Africa
| | - Nashied Peton
- Infectious Diseases and Immune Defence Division, The Walter & Eliza Hall Institute of Medical Research, Parkville 3279, VIC, Australia
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, Department of Pathology, University of Cape Town, Observatory, 7925 Western Cape, South Africa
| | - William Vo
- Infectious Diseases and Immune Defence Division, The Walter & Eliza Hall Institute of Medical Research, Parkville 3279, VIC, Australia
| | - Cody Charles Allison
- Infectious Diseases and Immune Defence Division, The Walter & Eliza Hall Institute of Medical Research, Parkville 3279, VIC, Australia
| | - Xutao Wang
- Division of Computational Biomedicine and Department of Biostatistics, Boston University, Boston, MA 02118, USA
| | - W. Evan Johnson
- Division of Computational Biomedicine and Department of Biostatistics, Boston University, Boston, MA 02118, USA
| | - Anna Kathleen Coussens
- Infectious Diseases and Immune Defence Division, The Walter & Eliza Hall Institute of Medical Research, Parkville 3279, VIC, Australia
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, Department of Pathology, University of Cape Town, Observatory, 7925 Western Cape, South Africa
- Department of Medical Biology, University of Melbourne, Parkville 3010, VIC, Australia
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18
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Li B, Wen F, Wang Z. Correlation between polymorphism of vitamin D receptor TaqI and susceptibility to tuberculosis: An update meta-analysis. Medicine (Baltimore) 2022; 101:e29127. [PMID: 35482984 PMCID: PMC9276446 DOI: 10.1097/md.0000000000029127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 03/03/2022] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND To investigate the association between TaqI polymorphism of the vitamin D receptor gene and tuberculosis (TB). METHODS A systematic search was performed in PubMed, Embase, Web of Science, Elsevier Science Direct, Cochrane Library, Chinese National Knowledge Infrastructure, Wanfang, and Chongqing VIP databases for case-control study on TaqI gene polymorphism and TB susceptivity. Quality assessment of studies was performed using the Newcastle-Ottawa Scale for the methodological assessment of case-control studies, and R 4.0.5 software was used for the meta-analysis. RESULTS Among the 243 selected articles, 27 in the meta-analysis. The meta-analysis showed that the TaqI gene polymorphism allene gene model (t vs T, odds ratio [OR]: 1.12, 95% confidence interval [CI]: 0.99-1.27); dominant model (tt + tT vs TT, OR: 1.12, 95% CI: 0.98-1.29); recessive model (tt vs tT + TT, OR: 1.25, 95% CI: 1.03-1.51); codominant A (tt vs TT, OR: 1.37, 95% CI: 1.00-1.87); codominant B (tT vs TT, OR: 1.09, 95% CI: 0.99-1.19). And subgroup dominant model (tt + tT vs TT, OR: 1.27, 95% CI: 1.03-1.55) in Indianas, recessive model (tt vs tT + TT, OR: 1.49, 95% CI: 1.05-2.11) in Iranians, co-dominant B (tT vs TT, OR: 1.28, 95% CI: 1.03-1.59; OR: 1.42, 95% CI: 1.05-1.93) in Indianas and Iranians. CONCLUSION This meta-analysis suggests a significant association between TB and the risk of TaqI in Iranians and Indians, but the vitamin D receptor polymorphism TaqI was not associated with Chinese. Thus, validation studies will be required to confirm these findings.
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Affiliation(s)
- Bin Li
- Department of Public Health, Medical School of Qinghai University, Xining, China
| | - Fei Wen
- Xining First People's Hospital Xining, China
| | - Zhaofen Wang
- Department of Public Health, Medical School of Qinghai University, Xining, China
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19
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Natarajan S, Ranganathan M, Hanna LE, Tripathy S. Transcriptional Profiling and Deriving a Seven-Gene Signature That Discriminates Active and Latent Tuberculosis: An Integrative Bioinformatics Approach. Genes (Basel) 2022; 13:genes13040616. [PMID: 35456421 PMCID: PMC9032611 DOI: 10.3390/genes13040616] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 03/09/2022] [Accepted: 03/17/2022] [Indexed: 12/10/2022] Open
Abstract
Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis (M.tb.). Our integrative analysis aims to identify the transcriptional profiling and gene expression signature that distinguish individuals with active TB (ATB) disease, and those with latent tuberculosis infection (LTBI). In the present study, we reanalyzed a microarray dataset (GSE37250) from GEO database and explored the data for differential gene expression analysis between those with ATB and LTBI derived from Malawi and South African cohorts. We used BRB array tool to distinguish DEGs (differentially expressed genes) between ATB and LTBI. Pathway enrichment analysis of DEGs was performed using DAVID bioinformatics tool. The protein–protein interaction (PPI) network of most upregulated genes was constructed using STRING analysis. We have identified 375 upregulated genes and 152 downregulated genes differentially expressed between ATB and LTBI samples commonly shared among Malawi and South African cohorts. The constructed PPI network was significantly enriched with 76 nodes connected to 151 edges. The enriched GO term/pathways were mainly related to expression of IFN stimulated genes, interleukin-1 production, and NOD-like receptor signaling pathway. Downregulated genes were significantly enriched in the Wnt signaling, B cell development, and B cell receptor signaling pathways. The short-listed DEGs were validated in a microarray data from an independent cohort (GSE19491). ROC curve analysis was done to assess the diagnostic accuracy of the gene signature in discrimination of active and latent tuberculosis. Thus, we have derived a seven-gene signature, which included five upregulated genes FCGR1B, ANKRD22, CARD17, IFITM3, TNFAIP6 and two downregulated genes FCGBP and KLF12, as a biomarker for discrimination of active and latent tuberculosis. The identified genes have a sensitivity of 80–100% and specificity of 80–95%. Area under the curve (AUC) value of the genes ranged from 0.84 to 1. This seven-gene signature has a high diagnostic accuracy in discrimination of active and latent tuberculosis.
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Affiliation(s)
- Sudhakar Natarajan
- Department of Virology and Biotechnology, ICMR–National Institute for Research in Tuberculosis (NIRT), Chetpet, Chennai 600031, India; (M.R.); (L.E.H.); (S.T.)
- Correspondence: ; Tel.: +91-44-2836-9586
| | - Mohan Ranganathan
- Department of Virology and Biotechnology, ICMR–National Institute for Research in Tuberculosis (NIRT), Chetpet, Chennai 600031, India; (M.R.); (L.E.H.); (S.T.)
| | - Luke Elizabeth Hanna
- Department of Virology and Biotechnology, ICMR–National Institute for Research in Tuberculosis (NIRT), Chetpet, Chennai 600031, India; (M.R.); (L.E.H.); (S.T.)
| | - Srikanth Tripathy
- Department of Virology and Biotechnology, ICMR–National Institute for Research in Tuberculosis (NIRT), Chetpet, Chennai 600031, India; (M.R.); (L.E.H.); (S.T.)
- Dr. DY Patil Medical College, Hospital and Research Centre, Pimpri, Pune 411018, India
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20
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Thakur C, Tripathi A, Ravichandran S, Shivananjaiah A, Chakraborty A, Varadappa S, Chikkavenkatappa N, Nagarajan D, Lakshminarasimhaiah S, Singh A, Chandra N. A new blood-based RNA signature (R 9), for monitoring effectiveness of tuberculosis treatment in a South Indian longitudinal cohort. iScience 2022; 25:103745. [PMID: 35118358 PMCID: PMC8800112 DOI: 10.1016/j.isci.2022.103745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2020] [Revised: 03/31/2021] [Accepted: 01/06/2022] [Indexed: 11/17/2022] Open
Abstract
Tuberculosis (TB) treatment involves a multidrug regimen for six months, and until two months, it is unclear if treatment is effective. This delay can lead to the evolution of drug resistance, lung damage, disease spread, and transmission. We identify a blood-based 9-gene signature using a computational pipeline that constructs and interrogates a genome-wide transcriptome-integrated protein-interaction network. The identified signature is able to determine treatment response at week 1-2 in three independent public datasets. Signature-based R9-score correctly detected treatment response at individual timepoints (204 samples) from a newly developed South Indian longitudinal cohort involving 32 patients with pulmonary TB. These results are consistent with conventional clinical metrics and can discriminate good from poor treatment responders at week 2 (AUC 0.93(0.81-1.00)). In this work, we provide proof of concept that the R9-score can determine treatment effectiveness, making a case for designing a larger clinical study.
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Affiliation(s)
- Chandrani Thakur
- Department of Biochemistry, Indian Institute of Science, Bangalore, India
| | - Ashutosh Tripathi
- Department of Microbiology and Cell Biology, Indian Institute of Science, Bangalore, India
- Centre for Infectious Disease Research, Indian Institute of Science, Bangalore, India
| | | | - Akshatha Shivananjaiah
- SDS Tuberculosis Research Centre and Rajiv Gandhi Institute of Chest Diseases, Bangalore, India
| | - Anushree Chakraborty
- SDS Tuberculosis Research Centre and Rajiv Gandhi Institute of Chest Diseases, Bangalore, India
| | - Sreekala Varadappa
- SDS Tuberculosis Research Centre and Rajiv Gandhi Institute of Chest Diseases, Bangalore, India
| | | | - Deepesh Nagarajan
- Department of Biochemistry, Indian Institute of Science, Bangalore, India
| | | | - Amit Singh
- Department of Microbiology and Cell Biology, Indian Institute of Science, Bangalore, India
- Centre for Infectious Disease Research, Indian Institute of Science, Bangalore, India
| | - Nagasuma Chandra
- Department of Biochemistry, Indian Institute of Science, Bangalore, India
- National Mathematics Initiative, Indian Institute of Science, Bangalore, India
- Centre for Biosystems Science and Engineering, Indian Institute of Science, Bangalore, India
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21
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Kestler B, Tyler SK. Latent Tuberculosis Testing Through the Ages: The Search for a Sleeping Killer. Am J Physiol Lung Cell Mol Physiol 2022; 322:L412-L419. [PMID: 35170334 PMCID: PMC8934672 DOI: 10.1152/ajplung.00217.2021] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Tuberculosis has been present in the world’s population for as long as there has been written language. It is a disease known to the ancient Egyptians, Greeks, Romans, and Hebrews, but its etiology eluded the world for thousands of years. Even after the germ theory was accepted and early scientists hypothesized a pathogen as the cause, the identity of the sleeping killer in society remained a mystery. That is until Robert Koch was able to grow and visualize Mycobacterium tuberculosis. Koch introduced his Old Tuberculin solution as a diagnostic therapy of tuberculosis (TB), with the intent to reduce the number of infected persons and stop its spread. Old Tuberculin’s ability to treat TB proved minimal, but its diagnostic potential paved the way for more effective tests from von Pirquet, Calmette, Wolff-Eisner, and Mantoux. Florence Seibert set out to identify and purify the active principle in Koch’s Old Tuberculin and ended up creating purified protein derivative (PPD) tuberculin which is still used as the standard for the tuberculin skin test (TST). Interferon-γ release assays (IGRAs) are a more modern diagnostic tool for detecting latent TB infection that offer some benefits (and some disadvantages) to TST. TSTs and IGRAs can determine if an individual has been infected with M. tuberculosis but are equally unable to predict progression to active tuberculosis, the diagnosis of which relies on assessment of clinical symptoms, radiographic imaging, and sample culture.
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Affiliation(s)
- Bri Kestler
- Physiology and Cell Biology, University of South Alabama, Mobile, AL, United States
| | - Shannon K Tyler
- Department of Infectious Diseases, University of South Alabama Medical Center, Mobile, AL, United States
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22
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Elkington P, Polak ME, Reichmann MT, Leslie A. Understanding the tuberculosis granuloma: the matrix revolutions. Trends Mol Med 2022; 28:143-154. [PMID: 34922835 PMCID: PMC8673590 DOI: 10.1016/j.molmed.2021.11.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 11/18/2021] [Accepted: 11/22/2021] [Indexed: 02/06/2023]
Abstract
Mycobacterium tuberculosis (Mtb) causes the human disease tuberculosis (TB) and remains the top global infectious pandemic after coronavirus disease 2019 (COVID-19). Furthermore, TB has killed many more humans than any other pathogen, after prolonged coevolution to optimise its pathogenic strategies. Full understanding of fundamental disease processes in humans is necessary to successfully combat this highly successful pathogen. While the importance of immunodeficiency has been long recognised, biologic therapies and unbiased approaches are providing unprecedented insights into the intricacy of the host-pathogen interaction. The nature of a protective response is more complex than previously hypothesised. Here, we integrate recent evidence from human studies and unbiased approaches to consider how Mtb causes human TB and highlight the recurring theme of extracellular matrix (ECM) turnover.
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Affiliation(s)
- Paul Elkington
- NIHR Biomedical Research Centre, School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.
| | - Marta E Polak
- NIHR Biomedical Research Centre, School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Michaela T Reichmann
- NIHR Biomedical Research Centre, School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Alasdair Leslie
- Department of Infection and Immunity, University College London, London, UK; Africa Health Research Institute, KwaZulu-Natal, South Africa
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23
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Liang T, Chen J, Xu G, Zhang Z, Xue J, Zeng H, Jiang J, Chen T, Qin Z, Li H, Ye Z, Nie Y, Liu C, Zhan X. STAT1 and CXCL10 involve in M1 macrophage polarization that may affect osteolysis and bone remodeling in extrapulmonary tuberculosis. Gene 2022; 809:146040. [PMID: 34710525 DOI: 10.1016/j.gene.2021.146040] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 08/01/2021] [Accepted: 10/21/2021] [Indexed: 12/20/2022]
Abstract
OBJECTIVE This study was aimed to reveal the molecular mechanism of bone destruction due to macrophage polarization leading to during extrapulmonary tuberculosis (EPTB) infection. METHODS The dataset GSE83456 was downloaded from the GEO database, and the xCell tool was used to obtain the 64 types of immune cells. The flow cytometry was performed to identified the differences between M1 and M2 macrophages between EPTB and the healthy controls (HCs). The enrichment analyses were performed on the differentially expressed genes (DEGs) and their functionally related modules. The hub genes were screened out, and their relationships with EPTB and the immune cell subtypes were further analyzed. RESULTS The flow cytometric analysis validated this hypothesis of M1-macrophage polarization correlated with the pathogenesis of EPTB. Of the obtained 103 DEGs, 97 genes were upregulated, and 6 genes were downregulated. The GO and KEGG pathway analyses showed that the DEGs were particularly involved in the immune-related processes. The hub genes (STAT1 and CXCL10) might be involved in M1-macrophage polarization and correlated with the pathogenesis of EPTB. STAT1 and CXCL10 could also behave as biomarkers for EPTB. CONCLUSION STAT1 and CXCL10 were involved in the M1-macrophage polarization and correlated with the pathogenesis of EPTB. Besides, both of them could also behave as biomarkers for EPTB diagnosis and provide the required clues for targeted therapy in the future.
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Affiliation(s)
- Tuo Liang
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, Guangxi, PR China
| | - Jiarui Chen
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, Guangxi, PR China
| | - GuoYong Xu
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, Guangxi, PR China
| | - Zide Zhang
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, Guangxi, PR China
| | - Jiang Xue
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, Guangxi, PR China
| | - Haopeng Zeng
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, Guangxi, PR China
| | - Jie Jiang
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, Guangxi, PR China
| | - Tianyou Chen
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, Guangxi, PR China
| | - Zhaojie Qin
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, Guangxi, PR China
| | - Hao Li
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, Guangxi, PR China
| | - Zhen Ye
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, Guangxi, PR China
| | - Yunfeng Nie
- Guangxi Medical University, No. 22 Shuangyong Road, Nanning, Guangxi, PR China
| | - Chong Liu
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, Guangxi, PR China
| | - Xinli Zhan
- Department of Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, Guangxi, PR China.
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24
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Gil-Manso S, Miguens Blanco I, López-Esteban R, Carbonell D, López-Fernández LA, West L, Correa-Rocha R, Pion M. Comprehensive Flow Cytometry Profiling of the Immune System in COVID-19 Convalescent Individuals. Front Immunol 2022; 12:793142. [PMID: 35069575 PMCID: PMC8771913 DOI: 10.3389/fimmu.2021.793142] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 12/15/2021] [Indexed: 12/13/2022] Open
Abstract
SARS-CoV-2 has infected more than 200 million people worldwide, with more than 4 million associated deaths. Although more than 80% of infected people develop asymptomatic or mild COVID-19, SARS-CoV-2 can induce a profound dysregulation of the immune system. Therefore, it is important to investigate whether clinically recovered individuals present immune sequelae. The potential presence of a long-term dysregulation of the immune system could constitute a risk factor for re-infection and the development of other pathologies. Here, we performed a deep analysis of the immune system in 35 COVID-19 recovered individuals previously infected with SARS-CoV-2 compared to 16 healthy donors, by flow cytometry. Samples from COVID-19 individuals were analysed from 12 days to 305 days post-infection. We observed that, 10 months post-infection, recovered COVID-19 patients presented alterations in the values of some T-cell, B-cell, and innate cell subsets compared to healthy controls. Moreover, we found in recovered COVID-19 individuals increased levels of circulating follicular helper type 1 (cTfh1), plasmablast/plasma cells, and follicular dendritic cells (foDC), which could indicate that the Tfh-B-foDC axis might be functional to produce specific immunoglobulins 10 months post-infection. The presence of this axis and the immune system alterations could constitute prognosis markers and could play an important role in potential re-infection or the presence of long-term symptoms in some individuals.
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Affiliation(s)
- Sergio Gil-Manso
- Laboratory of Immune-Regulation, Gregorio Marañón Health Research Institute (IiSGM), Gregorio Marañón University General Hospital, Madrid, Spain
| | - Iria Miguens Blanco
- Department of Emergency, Gregorio Marañón University General Hospital, Madrid, Spain
| | - Rocío López-Esteban
- Laboratory of Immune-Regulation, Gregorio Marañón Health Research Institute (IiSGM), Gregorio Marañón University General Hospital, Madrid, Spain
| | - Diego Carbonell
- Laboratory of Immune-Regulation, Gregorio Marañón Health Research Institute (IiSGM), Gregorio Marañón University General Hospital, Madrid, Spain
- Department of Hematology, Gregorio Marañón Health Research Institute (IiSGM), Gregorio Marañón University General Hospital, Madrid, Spain
| | - Luis Andrés López-Fernández
- Service of Pharmacy, Gregorio Marañón Health Research Institute (IiSGM), Gregorio Marañón University General Hospital, Madrid, Spain
| | - Lori West
- Department of Pediatrics, Alberta Transplant Institute and Canadian Donation and Transplantation Research Program, University of Alberta, Edmonton, AB, Canada
- Department of Medical Microbiology & Immunology, Alberta Transplant Institute and Canadian Donation and Transplantation Research Program, University of Alberta, Edmonton, AB, Canada
- Department of Surgery, Alberta Transplant Institute and Canadian Donation and Transplantation Research Program, University of Alberta, Edmonton, AB, Canada
- Department of Laboratory Medicine & Pathology, Alberta Transplant Institute and Canadian Donation and Transplantation Research Program, University of Alberta, Edmonton, AB, Canada
| | - Rafael Correa-Rocha
- Laboratory of Immune-Regulation, Gregorio Marañón Health Research Institute (IiSGM), Gregorio Marañón University General Hospital, Madrid, Spain
| | - Marjorie Pion
- Laboratory of Immune-Regulation, Gregorio Marañón Health Research Institute (IiSGM), Gregorio Marañón University General Hospital, Madrid, Spain
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25
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Hillman H, Khan N, Singhania A, Dubelko P, Soldevila F, Tippalagama R, DeSilva AD, Gunasena B, Perera J, Scriba TJ, Ontong C, Fisher M, Luabeya A, Taplitz R, Seumois G, Vijayanand P, Hedrick CC, Peters B, Burel JG. Single-cell profiling reveals distinct subsets of CD14+ monocytes drive blood immune signatures of active tuberculosis. Front Immunol 2022; 13:1087010. [PMID: 36713384 PMCID: PMC9874319 DOI: 10.3389/fimmu.2022.1087010] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 12/12/2022] [Indexed: 01/13/2023] Open
Abstract
Introduction Previous studies suggest that monocytes are an important contributor to tuberculosis (TB)-specific immune signatures in blood. Methods Here, we carried out comprehensive single-cell profiling of monocytes in paired blood samples of active TB (ATB) patients at diagnosis and mid-treatment, and healthy controls. Results At diagnosis, ATB patients displayed increased monocyte-to-lymphocyte ratio, increased frequency of CD14+CD16- and intermediate CD14+CD16+ monocytes, and upregulation of interferon signaling genes that significantly overlapped with previously reported blood TB signatures in both CD14+ subsets. In this cohort, we identified additional transcriptomic and functional changes in intermediate CD14+CD16+ monocytes, such as the upregulation of inflammatory and MHC-II genes, and increased capacity to activate T cells, reflecting overall increased activation in this population. Single-cell transcriptomics revealed that distinct subsets of intermediate CD14+CD16+ monocytes were responsible for each gene signature, indicating significant functional heterogeneity within this population. Finally, we observed that changes in CD14+ monocytes were transient, as they were no longer observed in the same ATB patients mid-treatment, suggesting they are associated with disease resolution. Discussion Together, our study demonstrates for the first time that both intermediate and classical monocytes individually contribute to blood immune signatures of ATB and identifies novel subsets and associated gene signatures that may hold disease relevance.
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Affiliation(s)
- Hannah Hillman
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, United States
| | - Nabeela Khan
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, United States
| | - Akul Singhania
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, United States
| | - Paige Dubelko
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, United States
| | - Ferran Soldevila
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, United States
| | - Rashmi Tippalagama
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, United States
| | - Aruna D DeSilva
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, United States.,Department of Paraclinical Sciences, Faculty of Medicine, General Sir John Kotelawala Defence University, Colombo, Sri Lanka
| | - Bandu Gunasena
- Medical Unit, National Hospital for Respiratory Diseases, Welisara, Sri Lanka
| | - Judy Perera
- Department of Paraclinical Sciences, Faculty of Medicine, General Sir John Kotelawala Defence University, Colombo, Sri Lanka
| | - Thomas J Scriba
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Cynthia Ontong
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Michelle Fisher
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Angelique Luabeya
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Randy Taplitz
- Department of Medicine, City of Hope National Medical Center, Duarte, CA, United States
| | - Gregory Seumois
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, United States
| | - Pandurangan Vijayanand
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, United States.,Department of Medicine, University of California San Diego, La Jolla, CA, United States
| | - Catherine C Hedrick
- Center for Autoimmunity and Inflammation, La Jolla Institute for Immunology, La Jolla, CA, United States
| | - Bjoern Peters
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, United States.,Department of Medicine, University of California San Diego, La Jolla, CA, United States
| | - Julie G Burel
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, United States
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26
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Shivakoti R, Newman JW, Hanna LE, Queiroz ATL, Borkowski K, Gupte AN, Paradkar M, Satyamurthi P, Kulkarni V, Selva M, Pradhan N, Shivakumar SVBY, Natarajan S, Karunaianantham R, Gupte N, Thiruvengadam K, Fiehn O, Bharadwaj R, Kagal A, Gaikwad S, Sangle S, Golub JE, Andrade BB, Mave V, Gupta A, Padmapriyadarsini C. Host lipidome and tuberculosis treatment failure. Eur Respir J 2022; 59:2004532. [PMID: 34375300 PMCID: PMC9625841 DOI: 10.1183/13993003.04532-2020] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 05/24/2021] [Indexed: 01/09/2023]
Abstract
INTRODUCTION Host lipids play important roles in tuberculosis (TB) pathogenesis. Whether host lipids at TB treatment initiation (baseline) affect subsequent treatment outcomes has not been well characterised. We used unbiased lipidomics to study the prospective association of host lipids with TB treatment failure. METHODS A case-control study (n=192), nested within a prospective cohort study, was used to investigate the association of baseline plasma lipids with TB treatment failure among adults with pulmonary TB. Cases (n=46) were defined as TB treatment failure, while controls (n=146) were those without failure. Complex lipids and inflammatory lipid mediators were measured using liquid chromatography mass spectrometry techniques. Adjusted least-square regression was used to assess differences in groups. In addition, machine learning identified lipids with highest area under the curve (AUC) to classify cases and controls. RESULTS Baseline levels of 32 lipids differed between controls and those with treatment failure after false discovery rate adjustment. Treatment failure was associated with lower baseline levels of cholesteryl esters and oxylipin, and higher baseline levels of ceramides and triglycerides compared to controls. Two cholesteryl ester lipids combined in a unique classifier model provided an AUC of 0.79 (95% CI 0.65-0.93) in the test dataset for prediction of TB treatment failure. CONCLUSIONS We identified lipids, some with known roles in TB pathogenesis, associated with TB treatment failure. In addition, a lipid signature with prognostic accuracy for TB treatment failure was identified. These lipids could be potential targets for risk-stratification, adjunct therapy and treatment monitoring.
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Affiliation(s)
- Rupak Shivakoti
- Dept of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Dept of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - John W Newman
- Obesity and Metabolism Research Unit, Western Human Nutrition Research Center, Agricultural Research Service, United States Department of Agriculture, Davis, CA, USA
- Dept of Nutrition, University of California, Davis, CA, USA
- West Coast Metabolomics Center, University of California, Davis, CA, USA
| | | | - Artur T L Queiroz
- Instituto Goncalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil
- Multinational Organization Network Sponsoring Translational and Epidemiological Research, Salvador, Brazil
| | - Kamil Borkowski
- West Coast Metabolomics Center, University of California, Davis, CA, USA
| | - Akshay N Gupte
- Dept of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mandar Paradkar
- Byramjee-Jeejeebhoy Medical College-Johns Hopkins University Clinical Research Site, Pune, India
| | | | - Vandana Kulkarni
- Byramjee-Jeejeebhoy Medical College-Johns Hopkins University Clinical Research Site, Pune, India
| | - Murugesh Selva
- National Institute for Research in Tuberculosis, Chennai, India
| | - Neeta Pradhan
- Byramjee-Jeejeebhoy Medical College-Johns Hopkins University Clinical Research Site, Pune, India
| | | | | | | | - Nikhil Gupte
- Dept of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Byramjee-Jeejeebhoy Medical College-Johns Hopkins University Clinical Research Site, Pune, India
| | | | - Oliver Fiehn
- West Coast Metabolomics Center, University of California, Davis, CA, USA
| | - Renu Bharadwaj
- Byramjee-Jeejeebhoy Government Medical College, Pune, India
| | - Anju Kagal
- Byramjee-Jeejeebhoy Government Medical College, Pune, India
| | - Sanjay Gaikwad
- Byramjee-Jeejeebhoy Government Medical College, Pune, India
| | | | - Jonathan E Golub
- Dept of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Bruno B Andrade
- Instituto Goncalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil
- Multinational Organization Network Sponsoring Translational and Epidemiological Research, Salvador, Brazil
- Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Brazil
- Curso de Medicina, Faculdade de Tecnologia e Ciências, Salvador, Brazil
- Curso de Medicina, Universidade Salvador (UNIFACS), Laureate International Universities, Salvador, Brazil
- Escola Bahiana de Medicina e Saúde Pública (EBMSP), Salvador, Brazil
| | - Vidya Mave
- Dept of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Byramjee-Jeejeebhoy Medical College-Johns Hopkins University Clinical Research Site, Pune, India
| | - Amita Gupta
- Dept of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Byramjee-Jeejeebhoy Medical College-Johns Hopkins University Clinical Research Site, Pune, India
- Equal contribution
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A 10-gene biosignature of tuberculosis treatment monitoring and treatment outcome prediction. Tuberculosis (Edinb) 2021; 131:102138. [PMID: 34801869 DOI: 10.1016/j.tube.2021.102138] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 09/30/2021] [Accepted: 10/07/2021] [Indexed: 11/23/2022]
Abstract
The clinical utility of blood transcriptomic biosignatures for the treatment monitoring and outcome prediction of tuberculosis (TB) remains limited. In this study, we aimed to discover and validate biomarkers for pulmonary TB treatment monitoring and outcome prediction based on kinetic responses of gene expression during treatment. In particular, differentially expressed genes (DEGs) were identified by time-series comparison. Subsequently, DEGs with the monotonic expression alterations during the treatment were selected. Ten consistently down-regulated genes (CD274, KIF1B, IL15, TLR1, TLR5, FCGR1A, GBP1, NOD2, GBP2, EGF) exhibited significant potential in treatment monitoring, demonstrated via biological and technical validation. Additionally, the biosignature showed potential in predicting the cured versus relapsed patients. Furthermore, the biosignature could be utilized for TB diagnosis, latent tuberculosis infection/active TB differential diagnosis, and risk of progression to active TB. Benchmarking analysis of the 10-gene biosignature with other biosignatures showed equivalent performance in tested data sets. In conclusion, we established a 10-gene transcriptomic biosignature that represents the kinetic responses of TB treatment. Subsequent studies are warranted to validate, refine and translate the biosignature into a precise assay to assist clinical decisions in a broad spectrum of TB management.
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28
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Namuganga AR, Chegou NN, Mayanja-Kizza H. Past and Present Approaches to Diagnosis of Active Pulmonary Tuberculosis. Front Med (Lausanne) 2021; 8:709793. [PMID: 34631731 PMCID: PMC8495065 DOI: 10.3389/fmed.2021.709793] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 08/17/2021] [Indexed: 12/15/2022] Open
Abstract
Tuberculosis disease continues to contribute to the mortality burden globally. Due to the several shortcomings of the available diagnostic methods, tuberculosis disease continues to spread. The difficulty to obtain sputum among the very ill patients and the children also affects the quick diagnosis of tuberculosis disease. These challenges warrant investigating different sample types that can provide results in a short time. Highlighted in this review are the approved pulmonary tuberculosis diagnostic methods and ongoing research to improve its diagnosis. We used the PRISMA guidelines for systematic reviews to search for studies that met the selection criteria for this review. In this review we found out that enormous biosignature research is ongoing to identify host biomarkers that can be used as predictors of active PTB disease. On top of this, more research was also being done to improve already existing diagnostic tests. Host markers required more optimization for use in different settings given their varying sensitivity and specificity in PTB endemic and non-endemic settings.
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Affiliation(s)
- Anna Ritah Namuganga
- Uganda–Case Western Research Collaboration-Mulago, Kampala, Uganda
- Joint Clinical Research Centre, Kampala, Uganda
- College of Health Sciences, Makerere University, Kampala, Uganda
| | - Novel N. Chegou
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Harriet Mayanja-Kizza
- Uganda–Case Western Research Collaboration-Mulago, Kampala, Uganda
- College of Health Sciences, Makerere University, Kampala, Uganda
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29
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Stein CM, Benchek P, Bartlett J, Igo RP, Sobota RS, Chervenak K, Mayanja-Kizza H, von Reyn CF, Lahey T, Bush WS, Boom WH, Scott WK, Marsit C, Sirugo G, Williams SM. Methylome-wide Analysis Reveals Epigenetic Marks Associated With Resistance to Tuberculosis in Human Immunodeficiency Virus-Infected Individuals From East Africa. J Infect Dis 2021; 224:695-704. [PMID: 33400784 DOI: 10.1093/infdis/jiaa785] [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: 08/18/2020] [Accepted: 01/04/2021] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Tuberculosis (TB) is the most deadly infectious disease globally and is highly prevalent in the developing world. For individuals infected with both Mycobacterium tuberculosis (Mtb) and human immunodeficiency virus (HIV), the risk of active TB is 10% or more annually. Previously, we identified in a genome-wide association study (GWAS) a region on chromosome 5 associated with resistance to TB, which included epigenetic marks that could influence gene regulation. We hypothesized that HIV-infected individuals exposed to Mtb who remain disease free carry epigenetic changes that strongly protect them from active TB. METHODS We conducted a methylome-wide study in HIV-infected, TB-exposed cohorts from Uganda and Tanzania and integrated data from our GWAS. RESULTS We identified 3 regions of interest that included markers that were differentially methylated between TB cases and controls with latent TB infection: chromosome 1 (RNF220, P = 4 × 10-5), chromosome 2 (between COPS8 and COL6A3, P = 2.7 × 10-5), and chromosome 5 (CEP72, P = 1.3 × 10-5). These methylation results co-localized with associated single-nucleotide polymorphisms (SNPs), methylation QTLs, and methylation × SNP interaction effects. These markers were in regions with regulatory markers for cells involved in TB immunity and/or lung. CONCLUSIONS Epigenetic regulation is a potential biologic factor underlying resistance to TB in immunocompromised individuals that can act in conjunction with genetic variants.
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Affiliation(s)
- Catherine M Stein
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA.,Division of Infectious Disease and HIV Medicine, Department of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Penelope Benchek
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA
| | - Jacquelaine Bartlett
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA
| | - Robert P Igo
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA
| | - Rafal S Sobota
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Keith Chervenak
- Division of Infectious Disease and HIV Medicine, Department of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Harriet Mayanja-Kizza
- Department of Medicine and Mulago Hospital, School of Medicine, Makerere University, Kampala, Uganda
| | - C Fordham von Reyn
- Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire, USA
| | - Timothy Lahey
- Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire, USA
| | - William S Bush
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA
| | - W Henry Boom
- Division of Infectious Disease and HIV Medicine, Department of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - William K Scott
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, Florida, USA
| | - Carmen Marsit
- Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Giorgio Sirugo
- Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Scott M Williams
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA.,Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, Ohio, USA
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30
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Domaszewska T, Zyla J, Otto R, Kaufmann SHE, Weiner J. Gene Set Enrichment Analysis Reveals Individual Variability in Host Responses in Tuberculosis Patients. Front Immunol 2021; 12:694680. [PMID: 34421903 PMCID: PMC8375662 DOI: 10.3389/fimmu.2021.694680] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Accepted: 07/19/2021] [Indexed: 11/22/2022] Open
Abstract
Group-aggregated responses to tuberculosis (TB) have been well characterized on a molecular level. However, human beings differ and individual responses to infection vary. We have combined a novel approach to individual gene set analysis (GSA) with the clustering of transcriptomic profiles of TB patients from seven datasets in order to identify individual molecular endotypes of transcriptomic responses to TB. We found that TB patients differ with respect to the intensity of their hallmark interferon (IFN) responses, but they also show variability in their complement system, metabolic responses and multiple other pathways. This variability cannot be sufficiently explained with covariates such as gender or age, and the molecular endotypes are found across studies and populations. Using datasets from a Cynomolgus macaque model of TB, we revealed that transcriptional signatures of different molecular TB endotypes did not depend on TB progression post-infection. Moreover, we provide evidence that patients with molecular endotypes characterized by high levels of IFN responses (IFN-rich), suffered from more severe lung pathology than those with lower levels of IFN responses (IFN-low). Harnessing machine learning (ML) models, we derived gene signatures classifying IFN-rich and IFN-low TB endotypes and revealed that the IFN-low signature allowed slightly more reliable overall classification of TB patients from non-TB patients than the IFN-rich one. Using the paradigm of molecular endotypes and the ML-based predictions allows more precisely tailored treatment regimens, predicting treatment-outcome with higher accuracy and therefore bridging the gap between conventional treatment and precision medicine.
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Affiliation(s)
- Teresa Domaszewska
- Department of Immunology, Max Planck Institute for Infection Biology, Berlin, Germany
- Department for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany
| | - Joanna Zyla
- Department of Data Science and Engineering, Silesian University of Technology, Gliwice, Poland
| | - Raik Otto
- Knowledge Management in Bioinformatics, Institute for Computer Science, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Stefan H. E. Kaufmann
- Department of Immunology, Max Planck Institute for Infection Biology, Berlin, Germany
- Max Planck Institute for Biophysical Chemistry, Emeritus Group Systems Immunology, Göttingen, Germany
- Hagler Institute for Advanced Study, Texas A&M University, College Station, TX, United States
| | - January Weiner
- Department of Immunology, Max Planck Institute for Infection Biology, Berlin, Germany
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31
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Miow QH, Vallejo AF, Wang Y, Hong JM, Bai C, Teo FS, Wang AD, Loh HR, Tan TZ, Ding Y, She HW, Gan SH, Paton NI, Lum J, Tay A, Chee CB, Tambyah PA, Polak ME, Wang YT, Singhal A, Elkington PT, Friedland JS, Ong CW. Doxycycline host-directed therapy in human pulmonary tuberculosis. J Clin Invest 2021; 131:e141895. [PMID: 34128838 DOI: 10.1172/jci141895] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 06/11/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUNDMatrix metalloproteinases (MMPs) are key regulators of tissue destruction in tuberculosis (TB) and may be targets for host-directed therapy. We conducted a phase II double-blind, randomized, controlled trial investigating doxycycline, a licensed broad-spectrum MMP inhibitor, in patients with pulmonary TB.METHODSThirty patients with pulmonary TB were enrolled within 7 days of initiating anti-TB treatment and randomly assigned to receive either 100 mg doxycycline or placebo twice a day for 14 days, in addition to standard care.RESULTSWhole blood RNA-sequencing demonstrated that doxycycline accelerated restoration of dysregulated gene expression in TB towards normality, rapidly down-regulating type I and II interferon and innate immune response genes, and up-regulating B-cell modules relative to placebo. The effects persisted for 6 weeks after doxycycline discontinuation, concurrent with suppressed plasma MMP-1. Doxycycline significantly reduced sputum MMP-1, -8, -9, -12 and -13, suppressed type I collagen and elastin destruction, reduced pulmonary cavity volume without altering sputum mycobacterial loads, and was safe.CONCLUSIONAdjunctive doxycycline with standard anti-TB treatment suppressed pathological MMPs in PTB patients. Larger studies on adjunctive doxycycline to limit TB immunopathology are merited.TRIAL REGISTRATIONClinicalTrials.gov NCT02774993.FUNDINGSingapore National Medical Research Council (NMRC/CNIG/1120/2014, NMRC/Seedfunding/0010/2014, NMRC/CISSP/2015/009a); the Singapore Infectious Diseases Initiative (SIDI/2013/013); National University Health System (PFFR-28 January 14, NUHSRO/2014/039/BSL3-SeedFunding/Jul/01); the Singapore Immunology Network Immunomonitoring platform (BMRC/IAF/311006, H16/99/b0/011, NRF2017_SISFP09); an ExxonMobil Research Fellowship, NUHS Clinician Scientist Program (NMRC/TA/0042/2015, CSAINV17nov014); the UK Medical Research Council (MR/P023754/1, MR/N006631/1); a NUS Postdoctoral Fellowship (NUHSRO/2017/073/PDF/03); The Royal Society Challenge Grant (CHG\R1\170084); the Sir Henry Dale Fellowship, Wellcome Trust (109377/Z/15/Z); and A*STAR.
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Affiliation(s)
- Qing Hao Miow
- Infectious Diseases Translational Research Programme, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Andres F Vallejo
- Clinical and Experimental Sciences, Sir Henry Wellcome Laboratories, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Yu Wang
- Infectious Diseases Translational Research Programme, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jia Mei Hong
- Infectious Diseases Translational Research Programme, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Chen Bai
- Infectious Diseases Translational Research Programme, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Felicia Sw Teo
- Division of Respiratory and Critical Care Medicine, University Medicine Cluster, National University Hospital, National University Health System, Singapore
| | - Alvin Dy Wang
- Department of Medicine, Ng Teng Fong General Hospital, Singapore
| | - Hong Rong Loh
- Infectious Diseases Translational Research Programme, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Tuan Zea Tan
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Ying Ding
- National Centre for Infectious Diseases, Singapore
| | - Hoi Wah She
- Tuberculosis Control Unit, Tan Tock Seng Hospital, Singapore
| | - Suay Hong Gan
- Tuberculosis Control Unit, Tan Tock Seng Hospital, Singapore
| | - Nicholas I Paton
- Infectious Diseases Translational Research Programme, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | | | - Alicia Tay
- Singapore Immunology Network, A*STAR, Singapore
| | - Cynthia Be Chee
- Tuberculosis Control Unit, Tan Tock Seng Hospital, Singapore
| | - Paul A Tambyah
- Infectious Diseases Translational Research Programme, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Marta E Polak
- Clinical and Experimental Sciences, Sir Henry Wellcome Laboratories, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.,Institute for Life Sciences, University of Southampton, Southampton, United Kingdom
| | - Yee Tang Wang
- Tuberculosis Control Unit, Tan Tock Seng Hospital, Singapore
| | | | - Paul T Elkington
- NIHR Respiratory Biomedical Research Centre, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | | | - Catherine Wm Ong
- Infectious Diseases Translational Research Programme, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Institute for Health Innovation and Technology, National University of Singapore, Singapore
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Grace PS, Dolatshahi S, Lu LL, Cain A, Palmieri F, Petrone L, Fortune SM, Ottenhoff THM, Lauffenburger DA, Goletti D, Joosten SA, Alter G. Antibody Subclass and Glycosylation Shift Following Effective TB Treatment. Front Immunol 2021; 12:679973. [PMID: 34290702 PMCID: PMC8287567 DOI: 10.3389/fimmu.2021.679973] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 06/07/2021] [Indexed: 11/13/2022] Open
Abstract
With an estimated 25% of the global population infected with Mycobacterium tuberculosis (Mtb), tuberculosis (TB) remains a leading cause of death by infectious diseases. Humoral immunity following TB treatment is largely uncharacterized, and antibody profiling could provide insights into disease resolution. Here we focused on the distinctive TB-specific serum antibody features in active TB disease (ATB) and compared them with latent TB infection (LTBI) or treated ATB (txATB). As expected, di-galactosylated glycan structures (lacking sialic acid) found on IgG-Fc differentiated LTBI from ATB, but also discriminated txATB from ATB. Moreover, TB-specific IgG4 emerged as a novel antibody feature that correlated with active disease, elevated in ATB, but significantly diminished after therapy. These findings highlight 2 novel TB-specific antibody changes that track with the resolution of TB and may provide key insights to guide TB therapy.
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Affiliation(s)
- Patricia S. Grace
- Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University, Cambridge, MA, United States
- Department of Immunology and Infectious Disease, Harvard School of Public Health, Boston, MA, United States
| | - Sepideh Dolatshahi
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, United States
| | - Lenette L. Lu
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Adam Cain
- Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University, Cambridge, MA, United States
| | - Fabrizio Palmieri
- Clinical Department, National Institute for Infectious Diseases (INMI), IRCCS L. Spallanzani, Rome, Italy
| | - Linda Petrone
- Department of Epidemiology and Preclinical Research, National Institute for Infectious Diseases IRCCS (INMI) L. Spallanzani, Rome, Italy
| | - Sarah M. Fortune
- Department of Immunology and Infectious Disease, Harvard School of Public Health, Boston, MA, United States
| | - Tom H. M. Ottenhoff
- Department of Infectious Disease, Leiden University Medical Center, Leiden, Netherlands
| | - Douglas A. Lauffenburger
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Delia Goletti
- Department of Epidemiology and Preclinical Research, National Institute for Infectious Diseases IRCCS (INMI) L. Spallanzani, Rome, Italy
| | - Simone A. Joosten
- Department of Infectious Disease, Leiden University Medical Center, Leiden, Netherlands
| | - Galit Alter
- Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University, Cambridge, MA, United States
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33
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Costa DL, Amaral EP, Namasivayam S, Mittereder LR, Andrade BB, Sher A. Enhancement of CD4 + T Cell Function as a Strategy for Improving Antibiotic Therapy Efficacy in Tuberculosis: Does It Work? Front Cell Infect Microbiol 2021; 11:672527. [PMID: 34235093 PMCID: PMC8256258 DOI: 10.3389/fcimb.2021.672527] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Accepted: 06/08/2021] [Indexed: 12/25/2022] Open
Abstract
Tuberculosis (TB), caused by Mycobacterium tuberculosis (Mtb) remains a major public health problem worldwide due in part to the lack of an effective vaccine and to the lengthy course of antibiotic treatment required for successful cure. Combined immuno/chemotherapeutic intervention represents a major strategy for developing more effective therapies against this important pathogen. Because of the major role of CD4+ T cells in containing Mtb infection, augmentation of bacterial specific CD4+ T cell responses has been considered as an approach in achieving this aim. Here we present new data from our own research aimed at determining whether boosting CD4+ T cell responses can promote antibiotic clearance. In these studies, we first characterized the impact of antibiotic treatment of infected mice on Th1 responses to major Mtb antigens and then performed experiments aimed at sustaining CD4+ T cell responsiveness during antibiotic treatment. These included IL-12 infusion, immunization with ESAT-6 and Ag85B immunodominant peptides and adoptive transfer of Th1-polarized CD4+ T cells specific for ESAT-6 or Ag85B during the initial month of chemotherapy. These approaches failed to enhance antibiotic clearance of Mtb, indicating that boosting Th1 responses to immunogenic Mtb antigens highly expressed by actively dividing bacteria is not an effective strategy to be used in the initial phase of antibiotic treatment, perhaps because replicating organisms are the first to be eliminated by the drugs. These results are discussed in the context of previously published findings addressing this concept along with possible alternate approaches for harnessing Th1 immunity as an adjunct to chemotherapy.
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Affiliation(s)
- Diego L Costa
- Departmento de Bioquímica e Imunologia, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil.,Programa de Pós-Graduação em Imunologia Básica e Aplicada, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, Brazil.,Immunobiology Section, Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Eduardo P Amaral
- Immunobiology Section, Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Sivaranjani Namasivayam
- Immunobiology Section, Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
| | - Lara R Mittereder
- Immunobiology Section, Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States.,Division of Bacterial, Parasitic and Allergenic Products, Laboratory of Mucosal Pathogens and Cellular Immunology, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, United States
| | - Bruno B Andrade
- Wellcome Centre for Infectious Disease Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa.,Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil.,Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil.,Curso de Medicina, Faculdade de Tecnologia e Ciências (FTC), Salvador, Brazil.,Curso de Medicina, Universidade Salvador (UNIFACS), Laureate Universities, Salvador, Brazil.,Escola Bahiana de Medicina e Saúde Pública (EBMSP), Salvador, Brazil.,Division of Infectious Diseases, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, United States
| | - Alan Sher
- Immunobiology Section, Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States
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Liang T, Chen J, Xu G, Zhang Z, Xue J, Zeng H, Jiang J, Chen T, Qin Z, Li H, Ye Z, Nie Y, Liu C, Zhan X. Immune status changing helps diagnose osteoarticular tuberculosis. PLoS One 2021; 16:e0252875. [PMID: 34129634 PMCID: PMC8205131 DOI: 10.1371/journal.pone.0252875] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Accepted: 05/24/2021] [Indexed: 01/06/2023] Open
Abstract
Objective This study is aimed to develop a new nomogram for the clinical diagnosis of osteoarticular tuberculosis (TB). Methods xCell score estimation to obtained the immune cell type abundance scores. We downloaded the expression profile of GSE83456 from GEO and proceed xCell score estimation. The routine blood examinations of 326 patients were collected for further validation. We analyzed univariate and multivariate logistic regression to identified independent predicted factor for developing the nomogram. The performance of the nomogram was assessed using the receiver operating characteristic (ROC) curves. The correlation of ESR with lymphocytes, monocytes, and ML ratio was performed and visualized in osteoarticular TB patients. Results Compared with the healthy control group in the dataset GSE83456, the xCell score of basophils, monocytes, neutrophils, and platelets was higher, while lymphoid was lower in the EPTB group. The clinical data showed that the cell count of monocytes were much higher, while the cell counts of lymphocytes were lower in the osteoarticular TB group. AUCs of the nomogram was 0.798 for the dataset GSE83456, and 0.737 for the clinical data. We identified the ML ratio, BMI, and ESR as the independent predictive factors for osteoarticular TB diagnosis and constructed a nomogram for the clinical diagnosis of osteoarticular TB. AUCs of this nomogram was 0.843. Conclusions We demonstrated a significant change between the ML ratio of the EPTB and non-TB patients. Moreover, we constructed a nomogram for the clinical diagnosis of the osteoarticular TB diagnosis, which works satisfactorily.
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Affiliation(s)
- Tuo Liang
- Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Jiarui Chen
- Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - GuoYong Xu
- Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Zide Zhang
- Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Jiang Xue
- Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Haopeng Zeng
- Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Jie Jiang
- Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Tianyou Chen
- Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Zhaojie Qin
- Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Hao Li
- Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Zhen Ye
- Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Yunfeng Nie
- Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Chong Liu
- Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
| | - Xinli Zhan
- Spine and Osteopathy Ward, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China
- * E-mail:
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McLoughlin KE, Correia CN, Browne JA, Magee DA, Nalpas NC, Rue-Albrecht K, Whelan AO, Villarreal-Ramos B, Vordermeier HM, Gormley E, Gordon SV, MacHugh DE. RNA-Seq Transcriptome Analysis of Peripheral Blood From Cattle Infected With Mycobacterium bovis Across an Experimental Time Course. Front Vet Sci 2021; 8:662002. [PMID: 34124223 PMCID: PMC8193354 DOI: 10.3389/fvets.2021.662002] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 04/06/2021] [Indexed: 12/14/2022] Open
Abstract
Bovine tuberculosis, caused by infection with members of the Mycobacterium tuberculosis complex, particularly Mycobacterium bovis, is a major endemic disease affecting cattle populations worldwide, despite the implementation of stringent surveillance and control programs in many countries. The development of high-throughput functional genomics technologies, including RNA sequencing, has enabled detailed analysis of the host transcriptome to M. bovis infection, particularly at the macrophage and peripheral blood level. In the present study, we have analysed the transcriptome of bovine whole peripheral blood samples collected at −1 week pre-infection and +1, +2, +6, +10, and +12 weeks post-infection time points. Differentially expressed genes were catalogued and evaluated at each post-infection time point relative to the −1 week pre-infection time point and used for the identification of putative candidate host transcriptional biomarkers for M. bovis infection. Differentially expressed gene sets were also used for examination of cellular pathways associated with the host response to M. bovis infection, construction of de novo gene interaction networks enriched for host differentially expressed genes, and time-series analyses to identify functionally important groups of genes displaying similar patterns of expression across the infection time course. A notable outcome of these analyses was identification of a 19-gene transcriptional biosignature of infection consisting of genes increased in expression across the time course from +1 week to +12 weeks post-infection.
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Affiliation(s)
- Kirsten E McLoughlin
- Animal Genomics Laboratory, UCD School of Agriculture and Food Science, UCD College of Health and Agricultural Sciences, University College Dublin, Dublin, Ireland
| | - Carolina N Correia
- Animal Genomics Laboratory, UCD School of Agriculture and Food Science, UCD College of Health and Agricultural Sciences, University College Dublin, Dublin, Ireland
| | - John A Browne
- Animal Genomics Laboratory, UCD School of Agriculture and Food Science, UCD College of Health and Agricultural Sciences, University College Dublin, Dublin, Ireland
| | - David A Magee
- Animal Genomics Laboratory, UCD School of Agriculture and Food Science, UCD College of Health and Agricultural Sciences, University College Dublin, Dublin, Ireland
| | - Nicolas C Nalpas
- Animal Genomics Laboratory, UCD School of Agriculture and Food Science, UCD College of Health and Agricultural Sciences, University College Dublin, Dublin, Ireland
| | - Kevin Rue-Albrecht
- Animal Genomics Laboratory, UCD School of Agriculture and Food Science, UCD College of Health and Agricultural Sciences, University College Dublin, Dublin, Ireland
| | - Adam O Whelan
- TB Immunology and Vaccinology Team, Department of Bacteriology, Animal and Plant Health Agency, Weybridge, United Kingdom
| | - Bernardo Villarreal-Ramos
- TB Immunology and Vaccinology Team, Department of Bacteriology, Animal and Plant Health Agency, Weybridge, United Kingdom
| | - H Martin Vordermeier
- TB Immunology and Vaccinology Team, Department of Bacteriology, Animal and Plant Health Agency, Weybridge, United Kingdom
| | - Eamonn Gormley
- UCD School of Veterinary Medicine, UCD College of Health and Agricultural Sciences, University College Dublin, Dublin, Ireland
| | - Stephen V Gordon
- UCD School of Veterinary Medicine, UCD College of Health and Agricultural Sciences, University College Dublin, Dublin, Ireland.,UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin, Ireland
| | - David E MacHugh
- Animal Genomics Laboratory, UCD School of Agriculture and Food Science, UCD College of Health and Agricultural Sciences, University College Dublin, Dublin, Ireland.,UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin, Ireland
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Mandala JP, Thada S, Sivangala R, Ponnana M, Myakala R, Gaddam S. Influence of NOD-like receptor 2 gene polymorphisms on muramyl dipeptide induced pro-inflammatory response in patients with active pulmonary tuberculosis and household contacts. Immunobiology 2021; 226:152096. [PMID: 34058448 DOI: 10.1016/j.imbio.2021.152096] [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: 11/02/2020] [Revised: 03/20/2021] [Accepted: 04/16/2021] [Indexed: 10/21/2022]
Abstract
PURPOSE The immune response induced by nucleotide-binding oligomerization domain-2(NOD2) is associated with the production of cytokines affected by the host's genetic background. The present study aimed to examine the effects of NOD2; 802C > T, 2105G > A polymorphisms associated with altered cytokine levels in patients with active pulmonary tuberculosis disease, Latent TB subjects (household contacts(HHC) and healthy controls(HC). METHODS Genetic polymorphisms were analyzed by Restriction Fragment Length Polymorphism(RFLP) in 102-PTB patients, 102-HHC, and 132-HC. QuantiFERON-TB Gold In-Tube test was performed to identify latent TB infection in 60-HHC. Estimated their cytokine levels by ELISA in MDP (muramyl dipeptide) stimulated culture supernatants of all the groups. Further, we studied pre-mRNA structures by insilico analysis and relative gene expression by RT-PCR. RESULTS Recessive genetic models of NOD2 802C > T SNP with TT genotype and AA genotype of NOD2 2105G > A SNP were significantly associated with increased TB risk in PTB patients and HHC compared with HC. In vitro stimulations were performed with NOD2 ligand MDP in PTB patients and latent TB subjects: QuantiFERON positive household contacts (QFT + ve HHC)and QuantiFERON negative household contacts(QFT-ve HHC). The results showed that reduced TNF-α and enhanced IL-12, IL-1β indicate that these cytokines may play an essential role in the initial maintenance of cell-mediated immunity. Our study demonstrated the correlation between NOD2 polymorphism with IL-1β, TNF-α, IL-12 levels. Insilico analysis represents the pre-mRNA secondary structures affected by NOD2 SNPs. We also observed the difference in m RNA levels in variant and wild genotypes. CONCLUSION This finding may lead to the forthcoming development of immunotherapy and may be used as predictive markers to identify high-risk individuals for TB disease.
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Affiliation(s)
- Jyothi Priya Mandala
- Bhagwan Mahavir Medical Research Centre, Hyderabad, India; Department of Genetics, Osmania University, Hyderabad, India
| | - Shruthi Thada
- Bhagwan Mahavir Medical Research Centre, Hyderabad, India; Institute of Microbiology and Hygiene, Charité-Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | | | - Meenakshi Ponnana
- Bhagwan Mahavir Medical Research Centre, Hyderabad, India; Department of Genetics, Osmania University, Hyderabad, India
| | | | - SumanLatha Gaddam
- Bhagwan Mahavir Medical Research Centre, Hyderabad, India; Department of Genetics, Osmania University, Hyderabad, India.
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Naidoo CC, Nyawo GR, Sulaiman I, Wu BG, Turner CT, Bu K, Palmer Z, Li Y, Reeve BWP, Moodley S, Jackson JG, Limberis J, Diacon AH, van Helden PD, Clemente JC, Warren RM, Noursadeghi M, Segal LN, Theron G. Anaerobe-enriched gut microbiota predicts pro-inflammatory responses in pulmonary tuberculosis. EBioMedicine 2021; 67:103374. [PMID: 33975252 PMCID: PMC8122180 DOI: 10.1016/j.ebiom.2021.103374] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 04/07/2021] [Accepted: 04/16/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The relationship between tuberculosis (TB), one of the leading infectious causes of death worldwide, and the microbiome, which is critical for health, is poorly understood. METHODS To identify potential microbiome-host interactions, profiling of the oral, sputum and stool microbiota [n = 58 cases, n = 47 culture-negative symptomatic controls (SCs)] and whole blood transcriptome were done in pre-treatment presumptive pulmonary TB patients. This was a cross-sectional study. Microbiota were also characterised in close contacts of cases (CCCs, n = 73) and close contacts of SCs (CCSCs, n = 82) without active TB. FINDINGS Cases and SCs each had similar α- and β-diversities in oral washes and sputum, however, β-diversity differed in stool (PERMANOVA p = 0•035). Cases were enriched with anaerobes in oral washes, sputum (Paludibacter, Lautropia in both) and stool (Erysipelotrichaceae, Blautia, Anaerostipes) and their stools enriched in microbial genes annotated as amino acid and carbohydrate metabolic pathways. In pairwise comparisons with their CCCs, cases had Megasphaera-enriched oral and sputum microbiota and Bifidobacterium-, Roseburia-, and Dorea-depleted stools. Compared to their CCSCs, SCs had reduced α-diversities and many differential taxa per specimen type. Cases differed transcriptionally from SCs in peripheral blood (PERMANOVA p = 0•001). A co-occurrence network analysis showed stool taxa, Erysipelotrichaceae and Blautia, to negatively co-correlate with enriched "death receptor" and "EIF2 signalling" pathways whereas Anaerostipes positively correlated with enriched "interferon signalling", "Nur77 signalling" and "inflammasome" pathways; all of which are host pathways associated with disease severity. In contrast, none of the taxa enriched in SCs correlated with host pathways. INTERPRETATION TB-specific microbial relationships were identified in oral washes, induced sputum, and stool from cases before the confounding effects of antibiotics. Specific anaerobes in cases' stool predict upregulation of pro-inflammatory immunological pathways, supporting the gut microbiota's role in TB. FUNDING European & Developing Countries Clinical Trials Partnership, South African-Medical Research Council, National Institute of Allergy and Infectious Diseases.
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Affiliation(s)
- Charissa C Naidoo
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, and SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town, South Africa
| | - Georgina R Nyawo
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, and SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town, South Africa
| | - Imran Sulaiman
- Division of Pulmonary, Critical Care, and Sleep Medicine, New York University School of Medicine, New York, NY, United States
| | - Benjamin G Wu
- Division of Pulmonary, Critical Care, and Sleep Medicine, New York University School of Medicine, New York, NY, United States
| | - Carolin T Turner
- Division of Infection and Immunity, University College London, London, United Kingdom
| | - Kevin Bu
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Zaida Palmer
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, and SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town, South Africa
| | - Yonghua Li
- Division of Pulmonary, Critical Care, and Sleep Medicine, New York University School of Medicine, New York, NY, United States
| | - Byron W P Reeve
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, and SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town, South Africa
| | - Suventha Moodley
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, and SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town, South Africa
| | - Jennifer G Jackson
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, and SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town, South Africa
| | - Jason Limberis
- Division of Experimental Medicine, University of California, San Francisco, United States
| | - Andreas H Diacon
- Department of Medicine, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town, South Africa
| | - Paul D van Helden
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, and SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town, South Africa
| | - Jose C Clemente
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Robin M Warren
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, and SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town, South Africa
| | - Mahdad Noursadeghi
- Division of Infection and Immunity, University College London, London, United Kingdom
| | - Leopoldo N Segal
- Division of Pulmonary, Critical Care, and Sleep Medicine, New York University School of Medicine, New York, NY, United States
| | - Grant Theron
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, and SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town, South Africa.
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Buijs SB, van Roeden SE, van Werkhoven CH, Hoepelman AIM, Wever PC, Bleeker-Rovers CP, Oosterheert JJ. The prognostic value of serological titres for clinical outcomes during treatment and follow-up of patients with chronic Q fever. Clin Microbiol Infect 2021; 27:1273-1278. [PMID: 33813120 DOI: 10.1016/j.cmi.2021.03.016] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 03/06/2021] [Accepted: 03/14/2021] [Indexed: 12/19/2022]
Abstract
OBJECTIVES We assessed the prognostic value of phase I IgG titres during treatment and follow-up of chronic Q fever. METHODS We performed a retrospective cohort study to analyse the course of phase I IgG titres in chronic Q fever. We used a multivariable time-varying Cox regression to assess our primary (first disease-related event) and secondary (therapy failure) outcomes. In a second analysis, we evaluated serological characteristics after 1 year of therapy (fourfold decrease in phase I IgG titre, absence of phase II IgM and reaching phase I IgG titre of ≤1:1024) with multivariable Cox regression. RESULTS In total, 337 patients that were treated for proven (n = 284, 84.3%) or probable (n = 53, 15.7%) chronic Q fever were included. Complications occurred in 190 (56.4%), disease-related mortality in 71 (21.1%) and therapy failure in 142 (42.1%) patients. The course of phase I IgG titres was not associated with first disease-related event (HR 1.00, 95% CI 0.86-1.15) or therapy failure (HR 1.02, 95% CI 0.91-1.15). Similar results were found for the serological characteristics for the primary (HR 0.97, 95% CI 0.62-1.51; HR 1.12, 95% CI 0.66-1.90; HR 0.99, 95% CI 0.57-1.69, respectively) and secondary outcomes (HR 0.86, 95% CI 0.57-1.29; HR 1.37, 95% CI 0.86-2.18; HR 0.80, 95% CI 0.48-1.34, respectively). DISCUSSION Coxiella burnetii serology does not reliably predict disease-related events or therapy failure during treatment and follow-up of chronic Q fever. Alternative markers for disease management are needed, but, for now, management should be based on clinical factors, PCR results, and imaging results.
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Affiliation(s)
- Sheila B Buijs
- Department of Internal Medicine and Infectious Diseases, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands.
| | - Sonja E van Roeden
- Department of Internal Medicine and Infectious Diseases, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Cornelis H van Werkhoven
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Andy I M Hoepelman
- Department of Internal Medicine and Infectious Diseases, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Peter C Wever
- Department of Medical Microbiology and Infection Control, Jeroen Bosch Hospital, 's-Hertogenbosch, the Netherlands
| | - Chantal P Bleeker-Rovers
- Department of Internal Medicine and Infectious Diseases, Radboud Expert Centre for Q Fever, Radboud University Medical Centre, Nijmegen, the Netherlands
| | - Jan Jelrik Oosterheert
- Department of Internal Medicine and Infectious Diseases, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands
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Perumal P, Abdullatif MB, Garlant HN, Honeyborne I, Lipman M, McHugh TD, Southern J, Breen R, Santis G, Ellappan K, Kumar SV, Belgode H, Abubakar I, Sinha S, Vasan SS, Joseph N, Kempsell KE. Validation of Differentially Expressed Immune Biomarkers in Latent and Active Tuberculosis by Real-Time PCR. Front Immunol 2021; 11:612564. [PMID: 33841389 PMCID: PMC8029985 DOI: 10.3389/fimmu.2020.612564] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 12/23/2020] [Indexed: 12/18/2022] Open
Abstract
Tuberculosis (TB) remains a major global threat and diagnosis of active TB ((ATB) both extra-pulmonary (EPTB), pulmonary (PTB)) and latent TB (LTBI) infection remains challenging, particularly in high-burden countries which still rely heavily on conventional methods. Although molecular diagnostic methods are available, e.g., Cepheid GeneXpert, they are not universally available in all high TB burden countries. There is intense focus on immune biomarkers for use in TB diagnosis, which could provide alternative low-cost, rapid diagnostic solutions. In our previous gene expression studies, we identified peripheral blood leukocyte (PBL) mRNA biomarkers in a non-human primate TB aerosol-challenge model. Here, we describe a study to further validate select mRNA biomarkers from this prior study in new cohorts of patients and controls, as a prerequisite for further development. Whole blood mRNA was purified from ATB patients recruited in the UK and India, LTBI and two groups of controls from the UK (i) a low TB incidence region (CNTRLA) and (ii) individuals variably-domiciled in the UK and Asia ((CNTRLB), the latter TB high incidence regions). Seventy-two mRNA biomarker gene targets were analyzed by qPCR using the Roche Lightcycler 480 qPCR platform and data analyzed using GeneSpring™ 14.9 bioinformatics software. Differential expression of fifty-three biomarkers was confirmed between MTB infected, LTBI groups and controls, seventeen of which were significant using analysis of variance (ANOVA): CALCOCO2, CD52, GBP1, GBP2, GBP5, HLA-B, IFIT3, IFITM3, IRF1, LOC400759 (GBP1P1), NCF1C, PF4V1, SAMD9L, S100A11, TAF10, TAPBP, and TRIM25. These were analyzed using receiver operating characteristic (ROC) curve analysis. Single biomarkers and biomarker combinations were further assessed using simple arithmetic algorithms. Minimal combination biomarker panels were delineated for primary diagnosis of ATB (both PTB and EPTB), LTBI and identifying LTBI individuals at high risk of progression which showed good performance characteristics. These were assessed for suitability for progression against the standards for new TB diagnostic tests delineated in the published World Health Organization (WHO) technology product profiles (TPPs).
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Affiliation(s)
- Prem Perumal
- Public Health England, Porton Down, Salisbury, Wiltshire, United Kingdom
| | | | - Harriet N. Garlant
- Public Health England, Porton Down, Salisbury, Wiltshire, United Kingdom
| | - Isobella Honeyborne
- Centre for Clinical Microbiology, University College London, Royal Free Campus, London, United Kingdom
| | - Marc Lipman
- UCL Respiratory, University College London, Royal Free Campus, London, United Kingdom
| | - Timothy D. McHugh
- Centre for Clinical Microbiology, University College London, Royal Free Campus, London, United Kingdom
| | - Jo Southern
- Institute for Global Health, University College London, London, United Kingdom
| | - Ronan Breen
- Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - George Santis
- Guy’s and St Thomas’ NHS Foundation Trust, London, United Kingdom
| | - Kalaiarasan Ellappan
- Jawaharlal Institute of Postgraduate Medical Education and Research, Dhanvantri Nagar, Gorimedu, Puducherry, India
| | - Saka Vinod Kumar
- Jawaharlal Institute of Postgraduate Medical Education and Research, Dhanvantri Nagar, Gorimedu, Puducherry, India
| | - Harish Belgode
- Jawaharlal Institute of Postgraduate Medical Education and Research, Dhanvantri Nagar, Gorimedu, Puducherry, India
| | - Ibrahim Abubakar
- Institute for Global Health, University College London, London, United Kingdom
| | - Sanjeev Sinha
- Department of Medicine, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, India
| | - Seshadri S. Vasan
- Public Health England, Porton Down, Salisbury, Wiltshire, United Kingdom
- Department of Health Sciences, University of York, York, United Kingdom
| | - Noyal Joseph
- Jawaharlal Institute of Postgraduate Medical Education and Research, Dhanvantri Nagar, Gorimedu, Puducherry, India
| | - Karen E. Kempsell
- Public Health England, Porton Down, Salisbury, Wiltshire, United Kingdom
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Liu S, Liu N, Wang H, Zhang X, Yao Y, Zhang S, Shi L. CCR5 Promoter Polymorphisms Associated With Pulmonary Tuberculosis in a Chinese Han Population. Front Immunol 2021; 11:544548. [PMID: 33679683 PMCID: PMC7935552 DOI: 10.3389/fimmu.2020.544548] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2020] [Accepted: 12/21/2020] [Indexed: 11/13/2022] Open
Abstract
Background Tuberculosis (TB), an infectious disease caused by Mycobacterium tuberculosis, is a major public health concern. Chemokines and their receptors, such as RANTES, CXCR3, and CCR5, have been reported to play important roles in cell activation and migration in immune responses against TB infection. Methods To understand the correlations involving CCR5 gene variations, M. tuberculosis infection, and TB disease progression, a case-control study comprising 450 patients with TB and 306 healthy controls from a Chinese Han population was conducted, along with the detection of polymorphisms in the CCR5 promoter using a sequencing method. Results After adjustment for age and gender, the results of logistic analysis indicated that the frequency of rs2734648-G was significantly higher in the TB patient group (P = 0.002, OR = 1.38, 95% CI: 1.123-1.696); meanwhile, rs2734648-GG showed notable susceptibility to TB (P = 6.32E-06, OR = 2.173, 95% CI: 1.546-3.056 in a recessive model). The genotypic frequency of rs1799987 also varied between the TB and control groups (P = 0.008). In stratified analysis, rs2734648-GG significantly increased susceptibility to pulmonary TB in a recessive model (P < 0.0001, OR = 2.382, 95% CI: 1.663-3.413), and the rs2734648-G allele significantly increased susceptibility to TB recurrence in a dominant model (P = 0.0032, OR = 1.936, 95% CI: 1.221-3.068), whereas rs1799987-AA was associated with susceptibility to pulmonary TB (P = 0.0078, OR = 1.678, 95% CI: 1.141-2.495 in a recessive model) but not with extra-pulmonary TB and TB recurrence. A haplotype constructed with the major alleles of the eight SNPs in the CCR5 promoter (rs2227010-rs2856758-rs2734648-rs1799987-rs1799988-rs41469351-rs1800023-rs1800024: A-A-G-G-T-C-G-C) exhibited extraordinarily increased risk of susceptibility to TB and pulmonary TB (P = 6.33E-11, OR = 24.887, 95% CI: 6.081-101.841). Conclusion In conclusion, CCR5 promoter polymorphisms were found to be associated with pulmonary TB and TB progression in Chinese Han people.
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Affiliation(s)
- Shuyuan Liu
- Institute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming, China
| | - Nannan Liu
- Institute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming, China
| | - Hui Wang
- The Third People's Hospital of Kunming, Kunming, China
| | - Xinwen Zhang
- Institute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming, China
| | - Yufeng Yao
- Institute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming, China.,Yunnan Key Laboratory of Vaccine Research and Development on Severe Infectious Diseases, Kunming, China
| | | | - Li Shi
- Institute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming, China
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Recent advances in non-specific immune memory against bovine tuberculosis. Comp Immunol Microbiol Infect Dis 2021; 75:101615. [PMID: 33529917 DOI: 10.1016/j.cimid.2021.101615] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 01/14/2021] [Accepted: 01/15/2021] [Indexed: 12/18/2022]
Abstract
Bovine tuberculosis is an important worldwide disease mainly related to cattle, although it also affects other mammals, including humans. In recent years, there have been considerable advances in the knowledge of the immune response mechanisms underlying the interaction of Mycobacterium bovis, the main agent of bovine tuberculosis, with its hosts. In this review we describe the most recent findings on the cattle immune response to M. bovis, particularly regarding trained innate immune responses and γδ T cells, that could support the development of vaccines and diagnostic tools to control this disease.
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42
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Naik S, Alexander M, Kumar P, Kulkarni V, Deshpande P, Yadana S, Leu CS, Araújo-Pereira M, Andrade BB, Bhosale R, Babu S, Gupta A, Mathad JS, Shivakoti R. Systemic Inflammation in Pregnant Women With Latent Tuberculosis Infection. Front Immunol 2021; 11:587617. [PMID: 33584652 PMCID: PMC7873478 DOI: 10.3389/fimmu.2020.587617] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2020] [Accepted: 12/09/2020] [Indexed: 11/17/2022] Open
Abstract
Background Recent studies in adults have characterized differences in systemic inflammation between adults with and without latent tuberculosis infection (LTBI+ vs. LTBI−). Potential differences in systemic inflammation by LTBI status has not been assess in pregnant women. Methods We conducted a cohort study of 155 LTBI+ and 65 LTBI− pregnant women, stratified by HIV status, attending an antenatal clinic in Pune, India. LTBI status was assessed by interferon gamma release assay. Plasma was used to measure systemic inflammation markers using immunoassays: IFNβ, CRP, AGP, I-FABP, IFNγ, IL-1β, soluble CD14 (sCD14), sCD163, TNF, IL-6, IL-17a and IL-13. Linear regression models were fit to test the association of LTBI status with each inflammation marker. We also conducted an exploratory analysis using logistic regression to test the association of inflammatory markers with TB progression. Results Study population was a median age of 23 (Interquartile range: 21–27), 28% undernourished (mid-upper arm circumference (MUAC) <23 cm), 12% were vegetarian, 10% with gestational diabetes and 32% with HIV. In multivariable models, LTBI+ women had significantly lower levels of third trimester AGP, IL1β, sCD163, IL-6 and IL-17a. Interestingly, in exploratory analysis, LTBI+ TB progressors had significantly higher levels of IL1β, IL-6 and IL-13 in multivariable models compared to LTBI+ non-progressors. Conclusions Our data shows a distinct systemic immune profile in LTBI+ pregnant women compared to LTBI− women. Data from our exploratory analysis suggest that LTBI+ TB progressors do not have this immune profile, suggesting negative association of this profile with TB progression. If other studies confirm these differences by LTBI status and show a causal relationship with TB progression, this immune profile could identify subsets of LTBI+ pregnant women at high risk for TB progression and who can be targeted for preventative therapy.
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Affiliation(s)
- Shilpa Naik
- Byramjee-Jeejeebhoy Government Medical College-Johns Hopkins University Clinical Research Site, Pune, India.,Department of Obstetrics and Gynecology, Byramjee Jeejeebhoy Government Medical College, Pune, India
| | - Mallika Alexander
- Byramjee-Jeejeebhoy Government Medical College-Johns Hopkins University Clinical Research Site, Pune, India
| | - Pavan Kumar
- International Center for Excellence in Research, National Institutes of Health, National Institute for Research in Tuberculosis, Chennai, India
| | - Vandana Kulkarni
- Byramjee-Jeejeebhoy Government Medical College-Johns Hopkins University Clinical Research Site, Pune, India
| | - Prasad Deshpande
- Byramjee-Jeejeebhoy Government Medical College-Johns Hopkins University Clinical Research Site, Pune, India
| | - Su Yadana
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, United States
| | - Cheng-Shiun Leu
- Department of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, United States
| | - Mariana Araújo-Pereira
- Instituto Goncalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil.,Multinational Organization Network Sponsoring Translational and Epidemiological Research, Fundação José Silveira, New York, NY, Brazil.,Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Brazil
| | - Bruno B Andrade
- Instituto Goncalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil.,Multinational Organization Network Sponsoring Translational and Epidemiological Research, Fundação José Silveira, New York, NY, Brazil.,Faculdade de Medicina, Universidade Federal da Bahia, Salvador, Brazil.,Curso de Medicina, Faculdade de Tecnologia e Ciências, Salvador, Brazil.,Escola de Medicina, Universidade Salvador (UNIFACS), Laureate International Universities, Salvador, Brazil.,Curso de Medicina, Escola Bahiana de Medicina e Saúde Pública (EBMSP), Salvador, Brazil
| | - Ramesh Bhosale
- Byramjee-Jeejeebhoy Government Medical College-Johns Hopkins University Clinical Research Site, Pune, India.,Department of Obstetrics and Gynecology, Byramjee Jeejeebhoy Government Medical College, Pune, India
| | - Subash Babu
- International Center for Excellence in Research, National Institutes of Health, National Institute for Research in Tuberculosis, Chennai, India
| | - Amita Gupta
- Byramjee-Jeejeebhoy Government Medical College-Johns Hopkins University Clinical Research Site, Pune, India.,Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Jyoti S Mathad
- Department of Medicine, Weill Cornell Medical College, New York, NY, United States
| | - Rupak Shivakoti
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, United States
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Visca D, Ong CWM, Tiberi S, Centis R, D'Ambrosio L, Chen B, Mueller J, Mueller P, Duarte R, Dalcolmo M, Sotgiu G, Migliori GB, Goletti D. Tuberculosis and COVID-19 interaction: A review of biological, clinical and public health effects. Pulmonology 2021; 27:151-165. [PMID: 33547029 PMCID: PMC7825946 DOI: 10.1016/j.pulmoe.2020.12.012] [Citation(s) in RCA: 140] [Impact Index Per Article: 46.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 12/15/2020] [Indexed: 01/10/2023] Open
Abstract
Evidence is accumulating on the interaction between tuberculosis (TB) and COVID-19. The aim of the present review is to report the available evidence on the interaction between these two infections. Differences and similarities of TB and COVID-19, their immunological features, diagnostics, epidemiological and clinical characteristics and public health implications are discussed. The key published documents and guidelines on the topic have been reviewed. Based on the immunological mechanism involved, a shared dysregulation of immune responses in COVID-19 and TB has been found, suggesting a dual risk posed by co-infection worsening COVID-19 severity and favouring TB disease progression. The available evidence on clinical aspects suggests that COVID-19 happens regardless of TB occurrence either before, during or after an active TB diagnosis. More evidence is required to determine if COVID-19 may reactivate or worsen active TB disease. The role of sequeale and the need for further rehabilitation must be further studied Similarly, the potential role of drugs prescribed during the initial phase to treat COVID-19 and their interaction with anti-TB drugs require caution. Regarding risk of morbidity and mortality, several risk scores for COVID-19 and independent risk factors for TB have been identified: including, among others, age, poverty, malnutrition and co-morbidities (HIV co-infection, diabetes, etc.). Additional evidence is expected to be provided by the ongoing global TB/COVID-19 study.
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Affiliation(s)
- D Visca
- Division of Pulmonary Rehabilitation, Istituti Clinici Scientifici Maugeri, IRCCS, Tradate, Italy; Department of Medicine and Surgery, Respiratory Diseases, University of Insubria, Tradate, Varese-Como, Italy
| | - C W M Ong
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Institute for Health Innovation & Technology (iHealthtech), National University of Singapore, Singapore
| | - S Tiberi
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom; Division of Infection, Royal London Hospital, Barts Health NHS Trust, London, United Kingdom
| | - R Centis
- Servizio di Epidemiologia Clinica delle Malattie Respiratorie, Istituti Clinici Scientifici Maugeri IRCCS, Tradate, Italy
| | - L D'Ambrosio
- Public Health Consulting Group, Lugano, Switzerland
| | - B Chen
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - J Mueller
- The Mueller Health Foundation, Boston, MA, USA
| | - P Mueller
- The Mueller Health Foundation, Boston, MA, USA
| | - R Duarte
- Pulmonology Department, Centro Hospitalar de Vila Nova de Gaia/Espinho, Vila Nova de Gaia, Portugal; Public Health Science and Medical Education Dept, Faculty of Medicine, University of Porto, Porto, Portugal.
| | - M Dalcolmo
- Centro de Referência Professor Hélio Fraga, Escola Nacional de Saúde Pública Sérgio Arouca, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | - G Sotgiu
- Clinical Epidemiology and Medical Statistics Unit, Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy
| | - G B Migliori
- Servizio di Epidemiologia Clinica delle Malattie Respiratorie, Istituti Clinici Scientifici Maugeri IRCCS, Tradate, Italy.
| | - D Goletti
- Translational Research Unit, Epidemiology and Preclinical Research Department, "L. Spallanzani" National Institute for Infectious Diseases (INMI), IRCCS, Rome, Italy
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44
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Ahmed F. A Network-Based Analysis Reveals the Mechanism Underlying Vitamin D in Suppressing Cytokine Storm and Virus in SARS-CoV-2 Infection. Front Immunol 2020; 11:590459. [PMID: 33362771 PMCID: PMC7756074 DOI: 10.3389/fimmu.2020.590459] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Accepted: 10/30/2020] [Indexed: 01/08/2023] Open
Abstract
Background SARS-CoV-2 causes ongoing pandemic coronavirus disease of 2019 (COVID-19), infects the cells of the lower respiratory tract that leads to a cytokine storm in a significant number of patients resulting in severe pneumonia, shortness of breathing, respiratory and organ failure. Extensive studies suggested the role of Vitamin D in suppressing cytokine storm in COVID-19 and reducing viral infection; however, the precise molecular mechanism is not clearly known. In this work, bioinformatics and systems biology approaches were used to understand SARS-CoV-2 induced cytokine pathways and the potential mechanism of Vitamin D in suppressing cytokine storm and enhancing antiviral response. Results This study used transcriptome data and identified 108 differentially expressed host genes (DEHGs) in SARS-CoV-2 infected normal human bronchial epithelial (NHBE) cells compared to control. Then, the DEHGs was integrated with the human protein-protein interaction data to generate a SARS-CoV-2 induced host gene regulatory network (SiHgrn). Analysis of SiHgrn identified a sub-network "Cluster 1" with the highest MCODE score, 31 up-regulated genes, and predominantly associated immune and inflammatory response. Interestingly, the iRegulone tool identified that "Cluster 1" is under the regulation of transcription factors STAT1, STAT2, STAT3, POU2F2, and NFkB1, collectively referred to as "host response signature network". Functional enrichment analysis with NDEx revealed that the "host response signature network" is predominantly associated with critical pathways, including "cytokines and inflammatory response", "non-genomic action of Vitamin D", "the human immune response to tuberculosis", and "lung fibrosis". Finally, in-depth analysis and literature mining revealed that Vitamin D binds with its receptor and could work through two different pathways: (i) it inhibits the expression of pro-inflammatory cytokines through blocking the TNF induced NFkB1 signaling pathway; and (ii) it initiates the expression of interferon-stimulating genes (ISGs) for antiviral defense program through activating the IFN-α induced Jak-STAT signaling pathway. Conclusion This comprehensive study identified the pathways associated with cytokine storm in SARS-CoV-2 infection. The proposed underlying mechanism of Vitamin D could be promising in suppressing the cytokine storm and inducing a robust antiviral response in severe COVID-19 patients. The finding in this study urgently needs further experimental validations for the suitability of Vitamin D in combination with IFN-α to control severe COVID-19.
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Affiliation(s)
- Firoz Ahmed
- Department of Biochemistry, College of Science, University of Jeddah, Jeddah, Saudi Arabia.,University of Jeddah Center for Scientific and Medical Research, University of Jeddah, Jeddah, Saudi Arabia
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45
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Sheerin D, Abhimanyu, Wang X, Johnson WE, Coussens A. Systematic evaluation of transcriptomic disease risk and diagnostic biomarker overlap between COVID-19 and tuberculosis: a patient-level meta-analysis. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2020:2020.11.25.20236646. [PMID: 33269371 PMCID: PMC7709192 DOI: 10.1101/2020.11.25.20236646] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND The novel coronavirus, SARS-CoV-2, has increased the burden on healthcare systems already strained by a high incidence of tuberculosis (TB) as co-infection and dual presentation are occurring in syndemic settings. We aimed to understand the interaction between these diseases by profiling COVID-19 gene expression signatures on RNA-sequencing data from TB-infected individuals. METHODS We performed a systematic review and patient-level meta-analysis by querying PubMed and pre-print servers to derive eligible COVID-19 gene expression signatures from human whole blood (WB), PBMCs or BALF studies. A WB influenza dataset served as a control respiratory disease signature. Three large TB RNA-seq datasets, comprising multiple cohorts from the UK and Africa and consisting of TB patients across the disease spectrum, were chosen to profile these signatures. Putative "COVID-19 risk scores" were generated for each sample in the TB datasets using the TBSignatureProfiler package. Risk was stratified by time to TB diagnosis in progressors and contacts of pulmonary and extra-pulmonary TB. An integrative analysis between TB and COVID-19 single-cell RNA-seq data was performed and a population-level meta-analysis was conducted to identify shared gene ontologies between the diseases and their relative enrichment in COVID-19 disease severity states. RESULTS 35 COVID-19 gene signatures from nine eligible studies comprising 98 samples were profiled on TB RNA-seq data from 1181 samples from 853 individuals. 25 signatures had significantly higher COVID-19 risk in active TB (ATB) compared with latent TB infection (p <0·005), 13 of which were validated in two independent datasets. FCN1 - and SPP1 -expressing macrophages enriched in BALF during severe COVID-19 were identified in circulation during ATB. Shared perturbed ontologies included antigen presentation, epigenetic regulation, platelet activation, and ROS/RNS production were enriched with increasing COVID-19 severity. Finally, we demonstrate that the overlapping transcriptional responses may complicate development of blood-based diagnostic signatures of co-infection. INTERPRETATION Our results identify shared dysregulation of immune responses in COVID-19 and TB as a dual risk posed by co-infection to COVID-19 severity and TB disease progression. These individuals should be followed up for TB in the months subsequent to SARS-CoV-2 diagnosis.
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Affiliation(s)
- Dylan Sheerin
- Infectious Diseases and Immune Defence Division, The Walter & Eliza Hall Institute of Medical Research, Parkville 3279, VIC, Australia
| | - Abhimanyu
- Wellcome Centre for Infectious Diseases in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Anzio Rd, Observatory, 7925, Western Cape, South Africa
| | - Xutao Wang
- Division of Computational Biomedicine and Bioinformatics Program, Boston University, Boston, MA, USA; Department of Biostatistics, Boston University, Boston, MA, USA
| | - W Evan Johnson
- Division of Computational Biomedicine and Bioinformatics Program, Boston University, Boston, MA, USA; Department of Biostatistics, Boston University, Boston, MA, USA
| | - Anna Coussens
- Infectious Diseases and Immune Defence Division, The Walter & Eliza Hall Institute of Medical Research, Parkville 3279, VIC, Australia
- Wellcome Centre for Infectious Diseases in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Anzio Rd, Observatory, 7925, Western Cape, South Africa
- Department of Medical Biology, University of Melbourne, Parkville 3010, VIC, Australia
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46
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Yan WJ, Zhou HY, Yan H. Characterization of and advanced diagnostic methods for ocular tuberculosis and tuberculosis. Int J Ophthalmol 2020; 13:1820-1826. [PMID: 33215016 DOI: 10.18240/ijo.2020.11.21] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Accepted: 09/30/2020] [Indexed: 11/23/2022] Open
Abstract
Tuberculosis (TB) is an airborne infection caused by Mycobacterium tuberculosis that usually affects the lungs. Timely treatment of active TB, diagnosis and prevention of latent TB are very important. However, extrapulmonary TB affects almost any tissues around the eye and orbit, and it then requires a high degree of suspicion to accurately diagnose. Diagnostic delays are common and may lead to morbidity. For ophthalmologists and infectious disease specialists, it is important to work together to accurately diagnose and treat ocular tuberculosis (OTB) to prevent vision loss. This review reports the latest advanced diagnostic methods for active TB and latent TB as well as various known manifestations of OTB. Important elements of diagnosis and treatment are also reviewed.
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Affiliation(s)
- Wei-Jia Yan
- Xi'an People's Hospital (Xi'an Fourth Hospital), Affiliated Northwestern Polytechnical University, Shaanxi Eye Hospital, Xi'an 710004, Shaanxi Province, China.,Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Medical School, Sheffield S10 2RX, UK
| | - Hai-Yan Zhou
- Department of Ophthalmology, Shaanxi Provincial People's Hospital, Xi'an 710068, Shaanxi Province, China
| | - Hong Yan
- Xi'an People's Hospital (Xi'an Fourth Hospital), Affiliated Northwestern Polytechnical University, Shaanxi Eye Hospital, Xi'an 710004, Shaanxi Province, China
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47
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Haiqing Cai, Chen L, Yin C, Liao Y, Meng X, Lu C, Tang S, Li X, Wang X. The effect of micro-nutrients on malnutrition, immunity and therapeutic effect in patients with pulmonary tuberculosis: A systematic review and meta-analysis of randomised controlled trials. Tuberculosis (Edinb) 2020; 125:101994. [PMID: 33049436 DOI: 10.1016/j.tube.2020.101994] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 07/20/2020] [Accepted: 09/16/2020] [Indexed: 11/29/2022]
Abstract
OBJECTIVE Micro-nutrients are closely related to pulmonary tuberculosis (PTB). Most patients with PTB suffer from micro-nutrients deficiency. We aimed to evaluate the efficacy of micro-nutrients support on clinical therapy and chronic inflammation in patients with PTB. METHODS We searched Pubmed, Springer link, Web of Science, Cochrane, Wan Fang and CNKI databases for randomised controlled trials (RCTs). The patients with anti-TB treatments were divided into two groups, the control group with nutritional advice or placebo, and the experimental group with micro-nutrients support for more than 2 weeks. Two reviewers conducted data extraction and quality assessment of the studies independently, and ReviewManager 5.2 software was used to input and analyse the data. The dichotomous variable was expressed in the risk ratios (RRS) and 95% CI, the continuous data were expressed in the mean difference (MD) and 95% CI, and the heterogeneity of subgroup was evaluated by I (Kerantzas and Jacobs, Jr., 2017) [2] test. RESULTS A total of 13 trials (2847 participants) were included. First, micro-nutrients improved sputum smears or culture negative conversion rates (OR 0.16 0.03-0.77, 2.29; MD -2.36, -4.72~-0.01, z = 1.97). Meanwhile, micro-nutrients support increased lymphocytes and decreased leukocytes, neutrophils, CRP and ESR (MD 0.20, 0.06-0.35, z = 2.78; MD -0.42, -0.65~-0.18, z = 3.48; MD -0.66, -1.12~-0.20, z = 2.82). However it had not impact on body weight, MUAC, haemoglobin, albumin or monocytes (p > 0.05). CONCLUSION Micro-nutrients support can reduce chronic inflammation and improve sputum smears or culture conversions to contribute to anti-TB treatment.
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Affiliation(s)
- Haiqing Cai
- School of Public Health, Guangxi Medical University, Nanning, Guangxi, 530021, China; The Fourth People's Hospital of Nanning, HIV/AIDS Clinical Treatment Center of Guangxi, 530023, China
| | - Lulin Chen
- The Second Nanning People's Hospital, 530031, China
| | - Chunlian Yin
- The Fourth People's Hospital of Nanning, HIV/AIDS Clinical Treatment Center of Guangxi, 530023, China
| | - Yanying Liao
- The Fourth People's Hospital of Nanning, HIV/AIDS Clinical Treatment Center of Guangxi, 530023, China
| | - Xingxing Meng
- The Fourth People's Hospital of Nanning, HIV/AIDS Clinical Treatment Center of Guangxi, 530023, China
| | - Cailing Lu
- School of Public Health, Guangxi Medical University, Nanning, Guangxi, 530021, China
| | - Shen Tang
- School of Preclinic Medical, Guangxi Medical University, Nanning, Guangxi, 530021, China
| | - Xiyi Li
- School of Public Health, Guangxi Medical University, Nanning, Guangxi, 530021, China.
| | - Xinhang Wang
- School of Preclinic Medical, Guangxi Medical University, Nanning, Guangxi, 530021, China.
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48
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Garay-Baquero DJ, White CH, Walker NF, Tebruegge M, Schiff HF, Ugarte-Gil C, Morris-Jones S, Marshall BG, Manousopoulou A, Adamson J, Vallejo AF, Bielecka MK, Wilkinson RJ, Tezera LB, Woelk CH, Garbis SD, Elkington P. Comprehensive plasma proteomic profiling reveals biomarkers for active tuberculosis. JCI Insight 2020; 5:137427. [PMID: 32780727 PMCID: PMC7526553 DOI: 10.1172/jci.insight.137427] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Accepted: 07/31/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUNDTuberculosis (TB) kills more people than any other infection, and new diagnostic tests to identify active cases are required. We aimed to discover and verify novel markers for TB in nondepleted plasma.METHODSWe applied an optimized quantitative proteomics discovery methodology based on multidimensional and orthogonal liquid chromatographic separation combined with high-resolution mass spectrometry to study nondepleted plasma of 11 patients with active TB compared with 10 healthy controls. Prioritized candidates were verified in independent UK (n = 118) and South African cohorts (n = 203).RESULTSWe generated the most comprehensive TB plasma proteome to date, profiling 5022 proteins spanning 11 orders-of-magnitude concentration range with diverse biochemical and molecular properties. We analyzed the predominantly low-molecular weight subproteome, identifying 46 proteins with significantly increased and 90 with decreased abundance (peptide FDR ≤ 1%, q ≤ 0.05). Verification was performed for novel candidate biomarkers (CFHR5, ILF2) in 2 independent cohorts. Receiver operating characteristics analyses using a 5-protein panel (CFHR5, LRG1, CRP, LBP, and SAA1) exhibited discriminatory power in distinguishing TB from other respiratory diseases (AUC = 0.81).CONCLUSIONWe report the most comprehensive TB plasma proteome to date, identifying novel markers with verification in 2 independent cohorts, leading to a 5-protein biosignature with potential to improve TB diagnosis. With further development, these biomarkers have potential as a diagnostic triage test.FUNDINGColciencias, Medical Research Council, Innovate UK, NIHR, Academy of Medical Sciences, Program for Advanced Research Capacities for AIDS, Wellcome Centre for Infectious Diseases Research.
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Affiliation(s)
- Diana J Garay-Baquero
- School of Clinical and Experimental Sciences, Faculty of Medicine, and.,Institute for Life Sciences, University of Southampton, Southampton, United Kingdom.,Proteome Exploration Laboratory, Beckman Institute, California Institute of Technology, Pasadena, California, USA
| | - Cory H White
- School of Clinical and Experimental Sciences, Faculty of Medicine, and
| | - Naomi F Walker
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory 7925, South Africa.,Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.,Department of Medicine, University of Cape Town, Observatory 7925, South Africa.,TB Centre and Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Marc Tebruegge
- Department of Paediatric Infectious Diseases & Immunology, Evelina London Children's Hospital, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom.,Department of Infection, Immunity and Inflammation, UCL Great Ormond Street Institute of Child Health, University College London, London, United Kingdom.,Department of Paediatrics, University of Melbourne, Parkville, Australia
| | - Hannah F Schiff
- School of Clinical and Experimental Sciences, Faculty of Medicine, and
| | - Cesar Ugarte-Gil
- TB Centre and Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, United Kingdom.,Instituto de Medicina Tropical Alexander von Humboldt, School of Medicine, Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Stephen Morris-Jones
- Department of Microbiology, University College London Hospitals NHS Trust, London, United Kingdom.,Division of Infection and Immunity, University College London, London, United Kingdom
| | - Ben G Marshall
- School of Clinical and Experimental Sciences, Faculty of Medicine, and.,National Institute for Health Research (NIHR) Biomedical Research Centre, University Hospital NHS Foundation Trust, Southampton, Southampton, United Kingdom
| | | | - John Adamson
- Pharmacology Core, Africa Health Research Institute (AHRI), Durban, South Africa
| | - Andres F Vallejo
- School of Clinical and Experimental Sciences, Faculty of Medicine, and
| | | | - Robert J Wilkinson
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Observatory 7925, South Africa.,Department of Medicine, University of Cape Town, Observatory 7925, South Africa.,The Francis Crick Institute, London, United Kingdom.,Department of Infectious Diseases, Faculty of Medicine, Imperial College, London, United Kingdom
| | - Liku B Tezera
- School of Clinical and Experimental Sciences, Faculty of Medicine, and.,Institute for Life Sciences, University of Southampton, Southampton, United Kingdom
| | | | - Spiros D Garbis
- Institute for Life Sciences, University of Southampton, Southampton, United Kingdom.,Proteome Exploration Laboratory, Beckman Institute, California Institute of Technology, Pasadena, California, USA.,Cancer Sciences Division, Faculty of Medicine, University of Southampton, United Kingdom
| | - Paul Elkington
- School of Clinical and Experimental Sciences, Faculty of Medicine, and.,Institute for Life Sciences, University of Southampton, Southampton, United Kingdom.,National Institute for Health Research (NIHR) Biomedical Research Centre, University Hospital NHS Foundation Trust, Southampton, Southampton, United Kingdom
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49
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A structured Markov chain model to investigate the effects of pre-exposure vaccines in tuberculosis control. J Theor Biol 2020; 509:110490. [PMID: 32949590 DOI: 10.1016/j.jtbi.2020.110490] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Revised: 09/06/2020] [Accepted: 09/08/2020] [Indexed: 11/23/2022]
Abstract
In this paper, the interest is in a structured Markov chain model to describe the transmission dynamics of tuberculosis (TB) in the setting of small communities of hosts sharing confined spaces, and to explore the potential impact of new pre-exposure vaccines on reducing the number of new TB cases during an outbreak of the disease. The model under consideration incorporates endogenous reactivation of latent tubercle bacilli, exogenous reinfection of latently infected TB hosts, loss of effectiveness of the vaccine protection, and death of hosts due to tubercle bacilli and from causes beyond TB. Various probabilistic measures are defined and analytically studied to describe extreme values and the number of vaccinations during an outbreak, and a random version of the basic reproduction number is used to measure the transmission potential during the initial phase of the epidemic. Our numerical experiments allow us to compare different pre-exposure vaccines versus the level of coverage in terms of these probabilistic measures.
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50
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Vickers MA, Darboe F, Muefong CN, Mbayo G, Barry A, Gindeh A, Njie S, Riley AJ, Sarr B, Sambou B, Dockrell HM, Charalambous S, Rachow A, Owolabi O, Jayasooriya S, Sutherland JS. Monitoring Anti-tuberculosis Treatment Response Using Analysis of Whole Blood Mycobacterium tuberculosis Specific T Cell Activation and Functional Markers. Front Immunol 2020; 11:572620. [PMID: 33679684 PMCID: PMC7931252 DOI: 10.3389/fimmu.2020.572620] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Accepted: 08/17/2020] [Indexed: 12/20/2022] Open
Abstract
Background Blood-based biomarkers have been proposed as an alternative to current sputum-based treatment monitoring methods in active tuberculosis (ATB). The aim of this study was to validate previously described phenotypic, activation, and cytokine markers of treatment response in a West African cohort. Methods Whole blood immune responses to Mycobacterium tuberculosis ESAT-6/CFP-10 (EC) and purified protein derivative (PPD) were measured in twenty adults at baseline and after 2 months of standard TB treatment. Patients were classified as fast or slow responders based on a negative or positive sputum culture result at 2 months, respectively. Cellular expression of activation markers (CD38, HLA-DR), memory markers (CD27), and functional intracellular cytokine and proliferation (IFN-γ, Ki-67, TNF-α) markers were measured using multi-color flow cytometry. Results There was a significant increase in the proportion of CD4+CD27+ cells expressing CD38 and HLA-DR following EC stimulation at 2 months compared to baseline (p = 0.0328 and p = 0.0400, respectively). Following PPD stimulation, slow treatment responders had a significantly higher proportion of CD8+CD27–IFN-γ+ (p = 0.0105) and CD4+CD27+HLA-DR+CD38+ (p = 0.0077) T cells than fast responders at baseline. Receiver operating curve analysis of these subsets resulted in 80% sensitivity and 70 and 100% specificity, respectively (AUC of 0.82, p = 0.0156 and 0.84, p = 0.0102). Conclusion Our pilot data show reductions in expression of T cell activation markers were seen with treatment, but this was not associated with fast or slow sputum conversion at 2 months. However, baseline proportions of activated T cell subsets are potentially predictive of the subsequent speed of response to treatment.
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Affiliation(s)
- Molly A Vickers
- Department of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom.,Vaccines and Immunity Theme, MRC Unit The Gambia at the London School of Hygiene and Tropical Medicine, Fajara, Gambia
| | - Fatoumatta Darboe
- Vaccines and Immunity Theme, MRC Unit The Gambia at the London School of Hygiene and Tropical Medicine, Fajara, Gambia
| | - Caleb N Muefong
- Vaccines and Immunity Theme, MRC Unit The Gambia at the London School of Hygiene and Tropical Medicine, Fajara, Gambia
| | - Georgetta Mbayo
- Vaccines and Immunity Theme, MRC Unit The Gambia at the London School of Hygiene and Tropical Medicine, Fajara, Gambia
| | - Amadou Barry
- Vaccines and Immunity Theme, MRC Unit The Gambia at the London School of Hygiene and Tropical Medicine, Fajara, Gambia
| | - Awa Gindeh
- Vaccines and Immunity Theme, MRC Unit The Gambia at the London School of Hygiene and Tropical Medicine, Fajara, Gambia
| | - Sainabou Njie
- Vaccines and Immunity Theme, MRC Unit The Gambia at the London School of Hygiene and Tropical Medicine, Fajara, Gambia
| | - Abi-Janet Riley
- Vaccines and Immunity Theme, MRC Unit The Gambia at the London School of Hygiene and Tropical Medicine, Fajara, Gambia
| | - Binta Sarr
- Vaccines and Immunity Theme, MRC Unit The Gambia at the London School of Hygiene and Tropical Medicine, Fajara, Gambia
| | - Basil Sambou
- Vaccines and Immunity Theme, MRC Unit The Gambia at the London School of Hygiene and Tropical Medicine, Fajara, Gambia
| | - Hazel M Dockrell
- Department of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | | | - Andrea Rachow
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, Munich, Germany.,German Centre for Infection Research (DZIF), Partner Site Munich, Munich, Germany
| | - Olumuyiwa Owolabi
- Vaccines and Immunity Theme, MRC Unit The Gambia at the London School of Hygiene and Tropical Medicine, Fajara, Gambia
| | - Shamanthi Jayasooriya
- Vaccines and Immunity Theme, MRC Unit The Gambia at the London School of Hygiene and Tropical Medicine, Fajara, Gambia.,Academic Unit of Primary Care, University of Sheffield, Sheffield, United Kingdom
| | - Jayne S Sutherland
- Vaccines and Immunity Theme, MRC Unit The Gambia at the London School of Hygiene and Tropical Medicine, Fajara, Gambia
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