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Randall P, Mutsvangwa J, Nliwasa M, Wilson L, Makamure B, Makambwa E, Meldau R, Dheda K, Munyati S, Siddiqi O, Corbett E, Esmail A. Utility of Cerebrospinal Fluid Unstimulated Interferon-Gamma (IRISA-TB) as a Same-Day Test for Tuberculous Meningitis in a Tuberculosis-Endemic, Resource-Poor Setting. Open Forum Infect Dis 2024; 11:ofae496. [PMID: 39286031 PMCID: PMC11403475 DOI: 10.1093/ofid/ofae496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Accepted: 08/27/2024] [Indexed: 09/19/2024] Open
Abstract
Background Tuberculous meningitis (TBM) mortality is high and current diagnostics perform suboptimally. We evaluated the diagnostic performance of a DNA-based assay (GeneXpert Ultra) against a new same-day immunodiagnostic assay that detects unstimulated interferon-gamma (IRISA-TB). Methods In a stage 1 evaluation, IRISA-TB was evaluated in biobanked samples from Zambia (n = 82; tuberculosis [TB] and non-TBM), and specificity in a South African biobank (n = 291; non-TBM only). Given encouraging results, a stage 2 evaluation was performed in suspected TBM patients from Zimbabwe and Malawi (n = 668). Patients were classified as having definite, probable or possible TBM, or non-TBM based on their microbiological results, cerebrospinal fluid (CSF) chemistry, and whether they received treatment. Results In the stage 1 evaluation, sensitivity and specificity of IRISA-TB were 75% and 87% in the Zambian samples, and specificity was 100% in the South African samples. In the stage 2 validation, IRISA-TB sensitivity (95% confidence interval [CI]) was significantly higher than Xpert Ultra (76.2% [55.0%-89.4%] vs 25% [8.9%-53.3%]; P = .0048) when trace readouts were considered negative. Specificity (95% CI) was similar for both assays (91.4% [88.8%-93.4%] vs 86.9% [83.4%-89.8%]). When the Xpert Ultra polymerase chain reaction product was verified by sequencing, the positive predictive value of trace readouts in CSF was 27.8%. Sensitivity of IRISA-TB was higher in human immunodeficiency virus (HIV)-infected versus uninfected participants (85.8% vs 66.7%). Conclusions As a same-day rule-in test, IRISA-TB had significantly better sensitivity than Xpert Ultra in a TB/HIV-endemic setting. An immunodiagnostic approach to TBM is promising, and further studies are warranted.
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Affiliation(s)
- Philippa Randall
- Centre for Lung Infection and Immunity, Department of Medicine, University of Cape Town and Division of Pulmonology, University of Cape Town Lung Institute, Observatory, Cape Town, South Africa
- Antrum Biotech (Pty) Ltd, Cape Town, South Africa
| | | | | | - Lindsay Wilson
- Centre for Lung Infection and Immunity, Department of Medicine, University of Cape Town and Division of Pulmonology, University of Cape Town Lung Institute, Observatory, Cape Town, South Africa
| | - Beauty Makamure
- Biomedical Research and Training Institute, Harare, Zimbabwe
| | - Edson Makambwa
- Centre for Lung Infection and Immunity, Department of Medicine, University of Cape Town and Division of Pulmonology, University of Cape Town Lung Institute, Observatory, Cape Town, South Africa
| | - Richard Meldau
- Centre for Lung Infection and Immunity, Department of Medicine, University of Cape Town and Division of Pulmonology, University of Cape Town Lung Institute, Observatory, Cape Town, South Africa
| | - Keertan Dheda
- Centre for Lung Infection and Immunity, Department of Medicine, University of Cape Town and Division of Pulmonology, University of Cape Town Lung Institute, Observatory, Cape Town, South Africa
- Department of Infection Biology, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Shungu Munyati
- Biomedical Research and Training Institute, Harare, Zimbabwe
| | - Omar Siddiqi
- Division of Neuro-Virology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
- Department of Internal Medicine, University of Zambia School of Medicine, Lusaka, Zambia
| | | | - Ali Esmail
- Centre for Lung Infection and Immunity, Department of Medicine, University of Cape Town and Division of Pulmonology, University of Cape Town Lung Institute, Observatory, Cape Town, South Africa
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Bohórquez JA, Jagannath C, Xu H, Wang X, Yi G. T Cell Responses during Human Immunodeficiency Virus/ Mycobacterium tuberculosis Coinfection. Vaccines (Basel) 2024; 12:901. [PMID: 39204027 PMCID: PMC11358969 DOI: 10.3390/vaccines12080901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2024] [Revised: 08/05/2024] [Accepted: 08/07/2024] [Indexed: 09/03/2024] Open
Abstract
Coinfection with Mycobacterium tuberculosis (Mtb) and the human immunodeficiency virus (HIV) is a significant public health concern. Individuals infected with Mtb who acquire HIV are approximately 16 times more likely to develop active tuberculosis. T cells play an important role as both targets for HIV infection and mediators of the immune response against both pathogens. This review aims to synthesize the current literature and provide insights into the effects of HIV/Mtb coinfection on T cell populations and their contributions to immunity. Evidence from multiple in vitro and in vivo studies demonstrates that T helper responses are severely compromised during coinfection, leading to impaired cytotoxic responses. Moreover, HIV's targeting of Mtb-specific cells, including those within granulomas, offers an explanation for the severe progression of the disease. Herein, we discuss the patterns of differentiation, exhaustion, and transcriptomic changes in T cells during coinfection, as well as the metabolic adaptations that are necessary for T cell maintenance and functionality. This review highlights the interconnectedness of the immune response and the pathogenesis of HIV/Mtb coinfection.
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Affiliation(s)
- José Alejandro Bohórquez
- Department of Cellular and Molecular Biology, The University of Texas Health Science Center at Tyler, Tyler, TX 75708, USA;
- Center for Biomedical Research, The University of Texas Health Science Center at Tyler, Tyler, TX 75708, USA
- Department of Medicine, The University of Texas at Tyler School of Medicine, Tyler, TX 75708, USA
| | - Chinnaswamy Jagannath
- Department of Pathology and Genomic Medicine, Center for Infectious Diseases and Translational Medicine, Houston Methodist Research Institute, Houston, TX 77030, USA;
| | - Huanbin Xu
- Tulane National Primate Research Center, Tulane University School of Medicine, Tulane University, Covington, LA 70112, USA; (H.X.); (X.W.)
| | - Xiaolei Wang
- Tulane National Primate Research Center, Tulane University School of Medicine, Tulane University, Covington, LA 70112, USA; (H.X.); (X.W.)
| | - Guohua Yi
- Department of Cellular and Molecular Biology, The University of Texas Health Science Center at Tyler, Tyler, TX 75708, USA;
- Center for Biomedical Research, The University of Texas Health Science Center at Tyler, Tyler, TX 75708, USA
- Department of Medicine, The University of Texas at Tyler School of Medicine, Tyler, TX 75708, USA
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3
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Muwanga VM, Mendelsohn SC, Leukes V, Stanley K, Mbandi SK, Erasmus M, Flinn M, Fisher TL, Raphela R, Bilek N, Malherbe ST, Tromp G, Van Der Spuy G, Walzl G, Chegou NN, Scriba TJ. Blood transcriptomic signatures for symptomatic tuberculosis in an African multicohort study. Eur Respir J 2024; 64:2400153. [PMID: 38964778 PMCID: PMC11325265 DOI: 10.1183/13993003.00153-2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 06/12/2024] [Indexed: 07/06/2024]
Abstract
BACKGROUND Multiple host blood transcriptional signatures have been developed as non-sputum triage tests for tuberculosis (TB). We aimed to compare the diagnostic performance of 20 blood transcriptomic TB signatures for differentiating between symptomatic patients who have TB versus other respiratory diseases (ORD). METHODS As part of a nested case-control study, individuals presenting with respiratory symptoms at primary healthcare clinics in Ethiopia, Malawi, Namibia, Uganda, South Africa and The Gambia were enrolled. TB was diagnosed based on clinical, microbiological and radiological findings. Transcriptomic signatures were measured in whole blood using microfluidic real-time quantitative PCR. Diagnostic performance was benchmarked against the World Health Organization Target Product Profile (TPP) for a non-sputum TB triage test. RESULTS Among 579 participants, 158 had definite, microbiologically confirmed TB, 32 had probable TB, while 389 participants had ORD. Nine signatures differentiated between ORD and TB with equivalent performance (Satproedprai7: area under the curve 0.83 (95% CI 0.79-0.87); Jacobsen3: 0.83 (95% CI 0.79-0.86); Suliman2: 0.82 (95% CI 0.78-0.86); Roe1: 0.82 (95% CI 0.78-0.86); Kaforou22: 0.82 (95% CI 0.78-0.86); Sambarey10: 0.81 (95% CI 0.77-0.85); Duffy9: 0.81 (95% CI 0.76-0.86); Gliddon3: 0.8 (95% CI 0.75-0.85); Suliman4 0.79 (95% CI 0.75-0.84)). Benchmarked against a 90% sensitivity, these signatures achieved specificities between 44% (95% CI 38-49%) and 54% (95% CI 49-59%), not meeting the TPP criteria. Signature scores significantly varied by HIV status and country. In country-specific analyses, several signatures, such as Satproedprai7 and Penn-Nicholson6, met the minimal TPP criteria for a triage test in Ethiopia, Malawi and South Africa. CONCLUSION No signatures met the TPP criteria in a pooled analysis of all countries, but several signatures met the minimum criteria for a non-sputum TB triage test in some countries.
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Affiliation(s)
- Vanessa Mwebaza Muwanga
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Simon C Mendelsohn
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Vinzeigh Leukes
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Immunology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Kim Stanley
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Immunology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Stanley Kimbung Mbandi
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Mzwandile Erasmus
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Marika Flinn
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Immunology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Tarryn-Lee Fisher
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Immunology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Rodney Raphela
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Nicole Bilek
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Stephanus T Malherbe
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Immunology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Gerard Tromp
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Immunology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Gian Van Der Spuy
- 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
| | - Gerhard Walzl
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Immunology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Novel N Chegou
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Immunology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Thomas J Scriba
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
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Wen Y, Yang H, Hong Y. Transcriptomic Approaches to Cardiomyocyte-Biomaterial Interactions: A Review. ACS Biomater Sci Eng 2024; 10:4175-4194. [PMID: 38934720 DOI: 10.1021/acsbiomaterials.4c00303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/28/2024]
Abstract
Biomaterials, essential for supporting, enhancing, and repairing damaged tissues, play a critical role in various medical applications. This Review focuses on the interaction of biomaterials and cardiomyocytes, emphasizing the unique significance of transcriptomic approaches in understanding their interactions, which are pivotal in cardiac bioengineering and regenerative medicine. Transcriptomic approaches serve as powerful tools to investigate how cardiomyocytes respond to biomaterials, shedding light on the gene expression patterns, regulatory pathways, and cellular processes involved in these interactions. Emerging technologies such as bulk RNA-seq, single-cell RNA-seq, single-nucleus RNA-seq, and spatial transcriptomics offer promising avenues for more precise and in-depth investigations. Longitudinal studies, pathway analyses, and machine learning techniques further improve the ability to explore the complex regulatory mechanisms involved. This review also discusses the challenges and opportunities of utilizing transcriptomic techniques in cardiomyocyte-biomaterial research. Although there are ongoing challenges such as costs, cell size limitation, sample differences, and complex analytical process, there exist exciting prospects in comprehensive gene expression analyses, biomaterial design, cardiac disease treatment, and drug testing. These multimodal methodologies have the capacity to deepen our understanding of the intricate interaction network between cardiomyocytes and biomaterials, potentially revolutionizing cardiac research with the aim of promoting heart health, and they are also promising for studying interactions between biomaterials and other cell types.
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Affiliation(s)
- Yufeng Wen
- Department of Bioengineering, University of Texas at Arlington, Arlington, Texas 76019, United States
| | - Huaxiao Yang
- Department of Biomedical Engineering, University of North Texas, Denton, Texas 76207, United States
| | - Yi Hong
- Department of Bioengineering, University of Texas at Arlington, Arlington, Texas 76019, United States
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Dolezalova K, Hadlova P, Ibrahimova M, Golias J, Baca L, Kopecka E, Sukholytka M, Koziar Vasakova M. Flow cytometry-based method using diversity of cytokine production differentiates between Mycobacterium tuberculosis infection and disease. Tuberculosis (Edinb) 2024; 147:102518. [PMID: 38739968 DOI: 10.1016/j.tube.2024.102518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 05/04/2024] [Accepted: 05/07/2024] [Indexed: 05/16/2024]
Abstract
Authors present a pilot study of the development of innovative flow cytometry-based assay with a potential for use in tuberculosis diagnostics. Currently available tests do not provide robust discrimination between latent tuberculosis infection (TBI) and tuberculosis disease (TB). The desired application is to distinguish between the two conditions by evaluating the production of a combination of three cytokines: IL-2 (interleukin-2), IFNɣ (interferon gamma) and TNFɑ (tumor necrosis factor alpha) in CD4+ and CD8+ T cells. The study was conducted on 68 participants, divided into two arms according to age (paediatric and adults). Each arm was further split into three categories (non-infection (NI), TBI, TB) based on the immune reaction to Mycobacterium tuberculosis (M.tb) after a close contact with pulmonary TB. Each blood sample was stimulated with specific M.tb antigens present in QuantiFERON tubes (TB1 and TB2). We inferred TBI or TB based on the predominant cytokine response of the CD4+ and/or CD8+ T cells. Significant differences were detected between the NI, TBI and the TB groups in TB1 in the CD4+TNFɑ+parameter in children. Along with IL-2, TNFɑ seems to be the most promising diagnostic marker in both CD4+and CD8+ T cells. However, more detailed analyses on larger cohorts are needed to confirm the observed tendencies.
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Affiliation(s)
- Karolina Dolezalova
- Department of Paediatrics of the First Faculty of Medicine, Charles University, Thomayer University Hospital, Prague, Czech Republic.
| | - Petra Hadlova
- Childhood Leukaemia Investigation Prague (CLIP), 2nd Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Marketa Ibrahimova
- Laboratory of Immunology, Thomayer University Hospital, Prague, Czech Republic
| | - Jaroslav Golias
- Laboratory of Immunology, Thomayer University Hospital, Prague, Czech Republic
| | - Lubos Baca
- Department of Paediatrics of the First Faculty of Medicine, Charles University, Thomayer University Hospital, Prague, Czech Republic
| | - Emilia Kopecka
- Department of Respiratory Medicine of the First Faculty of Medicine Charles University, Thomayer University Hospital, Prague, Czech Republic
| | - Mariia Sukholytka
- Department of Respiratory Medicine of the First Faculty of Medicine Charles University, Thomayer University Hospital, Prague, Czech Republic
| | - Martina Koziar Vasakova
- Department of Respiratory Medicine of the First Faculty of Medicine Charles University, Thomayer University Hospital, Prague, Czech Republic
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6
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Arya R, Shakya H, Chaurasia R, Kumar S, Vinetz JM, Kim JJ. Computational reassessment of RNA-seq data reveals key genes in active tuberculosis. PLoS One 2024; 19:e0305582. [PMID: 38935691 PMCID: PMC11210783 DOI: 10.1371/journal.pone.0305582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 05/31/2024] [Indexed: 06/29/2024] Open
Abstract
BACKGROUND Tuberculosis is a serious life-threatening disease among the top global health challenges and rapid and effective diagnostic biomarkers are vital for early diagnosis especially given the increasing prevalence of multidrug resistance. METHODS Two human whole blood microarray datasets, GSE42826 and GSE42830 were retrieved from publicly available gene expression omnibus (GEO) database. Deregulated genes (DEGs) were identified using GEO2R online tool and Gene Ontology (GO), protein-protein interaction (PPI) network analysis was performed using Metascape and STRING databases. Significant genes (n = 8) were identified using T-test/ANOVA and Molecular Complex Detection (MCODE) score ≥10, which was validated in GSE34608 dataset. The diagnostic potential of three biomarkers was assessed using Area Under Curve (AUC) of Receiver Operating Characteristic (ROC) plot. The transcriptional levels of these genes were also examined in a separate dataset GSE31348, to monitor the patterns of variation during tuberculosis treatment. RESULTS A total of 62 common DEGs (57 upregulated, 7 downregulated genes) were identified in two discovery datasets. GO functions and pathway enrichment analysis shed light on the functional roles of these DEGs in immune response and type-II interferon signaling. The genes in Module-1 (n = 18) were linked to innate immune response, interferon-gamma signaling. The common genes (n = 8) were validated in GSE34608 dataset, that corroborates the results obtained from discovery sets. The gene expression levels demonstrated responsiveness to Mtb infection during anti-TB therapy in GSE31348 dataset. In GSE34608 dataset, the expression levels of three specific genes, GBP5, IFITM3, and EPSTI1, emerged as potential diagnostic makers. In combination, these genes scored remarkable diagnostic performance with 100% sensitivity and 89% specificity, resulting in an impressive Area Under Curve (AUC) of 0.958. However, GBP5 alone showed the highest AUC of 0.986 with 100% sensitivity and 89% specificity. CONCLUSIONS The study presents valuable insights into the critical gene network perturbed during tuberculosis. These genes are determinants for assessing the effectiveness of an anti-TB response and distinguishing between active TB and healthy individuals. GBP5, IFITM3 and EPSTI1 emerged as candidate core genes in TB and holds potential as novel molecular targets for the development of interventions in the treatment of TB.
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Affiliation(s)
- Rakesh Arya
- Department of Biotechnology, Yeungnam University, Gyeongsan, Gyeongbuk, South Korea
| | - Hemlata Shakya
- Department of Biomedical Engineering, Shri G. S. Institute of Technology and Science, Indore, Madhya Pradesh, India
| | - Reetika Chaurasia
- Department of Internal Medicine, Section of Infectious Diseases, Yale University School of Medicine, New Haven, CT, United States of America
| | - Surendra Kumar
- Department of Orthopaedic Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
| | - Joseph M. Vinetz
- Department of Internal Medicine, Section of Infectious Diseases, Yale University School of Medicine, New Haven, CT, United States of America
| | - Jong Joo Kim
- Department of Biotechnology, Yeungnam University, Gyeongsan, Gyeongbuk, South Korea
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7
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Chang A, Loy CJ, Eweis-LaBolle D, Lenz JS, Steadman A, Andgrama A, Nhung NV, Yu C, Worodria W, Denkinger CM, Nahid P, Cattamanchi A, De Vlaminck I. Circulating cell-free RNA in blood as a host response biomarker for detection of tuberculosis. Nat Commun 2024; 15:4949. [PMID: 38858368 PMCID: PMC11164910 DOI: 10.1038/s41467-024-49245-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 05/29/2024] [Indexed: 06/12/2024] Open
Abstract
Tuberculosis (TB) remains a leading cause of death from an infectious disease worldwide, partly due to a lack of effective strategies to screen and triage individuals with potential TB. Whole blood RNA signatures have been tested as biomarkers for TB, but have failed to meet the World Health Organization's (WHO) optimal target product profiles (TPP). Here, we use RNA sequencing and machine-learning to investigate the utility of plasma cell-free RNA (cfRNA) as a host-response biomarker for TB in cohorts from Uganda, Vietnam and Philippines. We report a 6-gene cfRNA signature, which differentiates TB-positive and TB-negative individuals with AUC = 0.95, 0.92, and 0.95 in test, training and validation, respectively. This signature meets WHO TPPs (sensitivity: 97.1% [95% CI: 80.9-100%], specificity: 85.2% [95% CI: 72.4-100%]) regardless of geographic location, sample collection method and HIV status. Overall, our results identify plasma cfRNA as a promising host response biomarker to diagnose TB.
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Affiliation(s)
- Adrienne Chang
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | - Conor J Loy
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | | | - Joan S Lenz
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | | | - Alfred Andgrama
- World Alliance for Lung and Intensive Care Medicine in Uganda, Kampala, Uganda
| | | | - Charles Yu
- De La Salle Medical and Health Sciences Institute, Dasmarinas, Philippines
| | - William Worodria
- World Alliance for Lung and Intensive Care Medicine in Uganda, Kampala, Uganda
| | - Claudia M Denkinger
- University Hospital Heidelberg & German Center of Infection Research, Heidelberg, Germany
| | - Payam Nahid
- UCSF Center for Tuberculosis, University of California San Francisco, San Francisco, CA, USA
| | - Adithya Cattamanchi
- UCSF Center for Tuberculosis, University of California San Francisco, San Francisco, CA, USA
- Division of Pulmonary and Critical Care Medicine, University of California Irvine, Orange, CA, USA
| | - Iwijn De Vlaminck
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
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8
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Vinhaes CL, Fukutani ER, Santana GC, Arriaga MB, Barreto-Duarte B, Araújo-Pereira M, Maggitti-Bezerril M, Andrade AM, Figueiredo MC, Milne GL, Rolla VC, Kristki AL, Cordeiro-Santos M, Sterling TR, Andrade BB, Queiroz AT. An integrative multi-omics approach to characterize interactions between tuberculosis and diabetes mellitus. iScience 2024; 27:109135. [PMID: 38380250 PMCID: PMC10877940 DOI: 10.1016/j.isci.2024.109135] [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: 09/29/2023] [Revised: 01/02/2024] [Accepted: 02/01/2024] [Indexed: 02/22/2024] Open
Abstract
Tuberculosis-diabetes mellitus (TB-DM) is linked to a distinct inflammatory profile, which can be assessed using multi-omics analyses. Here, a machine learning algorithm was applied to multi-platform data, including cytokines and gene expression in peripheral blood and eicosanoids in urine, in a Brazilian multi-center TB cohort. There were four clinical groups: TB-DM(n = 24), TB only(n = 28), DM(HbA1c ≥ 6.5%) only(n = 11), and a control group of close TB contacts who did not have TB or DM(n = 13). After cross-validation, baseline expression or abundance of MMP-28, LTE-4, 11-dTxB2, PGDM, FBXO6, SECTM1, and LINCO2009 differentiated the four patient groups. A distinct multi-omic-derived, dimensionally reduced, signature was associated with TB, regardless of glycemic status. SECTM1 and FBXO6 mRNA levels were positively correlated with sputum acid-fast bacilli grade in TB-DM. Values of the biomarkers decreased during the course of anti-TB therapy. Our study identified several markers associated with the pathophysiology of TB-DM that could be evaluated in future mechanistic investigations.
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Affiliation(s)
- Caian L. Vinhaes
- Laboratório de Pesquisa Clínica e Translacional, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador 40296-710, Brazil
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador 41810-710, Brazil
- Programa de Pós-Graduação em Medicina e Saúde Humana, Escola Bahiana de Medicina e Saúde Pública (EBMSP), Salvador 40290-150, Brazil
- Departamento de Infectologia, Hospital Português da Bahia, Salvador 40140-901, Brazil
- Instituto de Pesquisa Clínica e Translacional, Faculdade de Tecnologia e Ciências, Salvador 41741-590, Brazil
| | - Eduardo R. Fukutani
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador 41810-710, Brazil
- Instituto de Pesquisa Clínica e Translacional, Faculdade de Tecnologia e Ciências, Salvador 41741-590, Brazil
- Centro de Integração de Dados e Conhecimentos para Saúde, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil
| | - Gabriel C. Santana
- Laboratório de Pesquisa Clínica e Translacional, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador 40296-710, Brazil
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador 41810-710, Brazil
- Curso de Medicina, Universidade Salvador, Salvador, Brazil
| | - María B. Arriaga
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Beatriz Barreto-Duarte
- Laboratório de Pesquisa Clínica e Translacional, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador 40296-710, Brazil
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador 41810-710, Brazil
- Instituto de Pesquisa Clínica e Translacional, Faculdade de Tecnologia e Ciências, Salvador 41741-590, Brazil
- Curso de Medicina, Universidade Salvador, Salvador, Brazil
- Programa Acadêmico de Tuberculose. Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Mariana Araújo-Pereira
- Laboratório de Pesquisa Clínica e Translacional, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador 40296-710, Brazil
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador 41810-710, Brazil
- Instituto de Pesquisa Clínica e Translacional, Faculdade de Tecnologia e Ciências, Salvador 41741-590, Brazil
- Faculdade de Medicina, Univerdidade Federal da Bahia, Salvador, Brazil
| | - Mateus Maggitti-Bezerril
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador 41810-710, Brazil
- Instituto de Pesquisa Clínica e Translacional, Faculdade de Tecnologia e Ciências, Salvador 41741-590, Brazil
| | - Alice M.S. Andrade
- Laboratório de Pesquisa Clínica e Translacional, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador 40296-710, Brazil
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador 41810-710, Brazil
- Instituto de Pesquisa Clínica e Translacional, Faculdade de Tecnologia e Ciências, Salvador 41741-590, Brazil
| | - Marina C. Figueiredo
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Ginger L. Milne
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Valeria C. Rolla
- Instituto Nacional de Infectologia Evandro Chagas, Fiocruz, Rio de Janeiro, Brazil
| | - Afrânio L. Kristki
- Programa Acadêmico de Tuberculose. Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Marcelo Cordeiro-Santos
- Fundação Medicina Tropical Doutor Heitor Vieira Dourado, Manaus, Brazil
- Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas, Manaus, Brazil
- Universidade Nilton Lins, Manaus, Brazil
| | - Timothy R. Sterling
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Bruno B. Andrade
- Laboratório de Pesquisa Clínica e Translacional, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador 40296-710, Brazil
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador 41810-710, Brazil
- Programa de Pós-Graduação em Medicina e Saúde Humana, Escola Bahiana de Medicina e Saúde Pública (EBMSP), Salvador 40290-150, Brazil
- Instituto de Pesquisa Clínica e Translacional, Faculdade de Tecnologia e Ciências, Salvador 41741-590, Brazil
- Curso de Medicina, Universidade Salvador, Salvador, Brazil
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Faculdade de Medicina, Univerdidade Federal da Bahia, Salvador, Brazil
| | - Artur T.L. Queiroz
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador 41810-710, Brazil
- Instituto de Pesquisa Clínica e Translacional, Faculdade de Tecnologia e Ciências, Salvador 41741-590, Brazil
- Centro de Integração de Dados e Conhecimentos para Saúde, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil
| | - for the RePORT Brazil Consortium
- Laboratório de Pesquisa Clínica e Translacional, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador 40296-710, Brazil
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador 41810-710, Brazil
- Programa de Pós-Graduação em Medicina e Saúde Humana, Escola Bahiana de Medicina e Saúde Pública (EBMSP), Salvador 40290-150, Brazil
- Departamento de Infectologia, Hospital Português da Bahia, Salvador 40140-901, Brazil
- Instituto de Pesquisa Clínica e Translacional, Faculdade de Tecnologia e Ciências, Salvador 41741-590, Brazil
- Centro de Integração de Dados e Conhecimentos para Saúde, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil
- Curso de Medicina, Universidade Salvador, Salvador, Brazil
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Programa Acadêmico de Tuberculose. Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
- Faculdade de Medicina, Univerdidade Federal da Bahia, Salvador, Brazil
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
- Instituto Nacional de Infectologia Evandro Chagas, Fiocruz, Rio de Janeiro, Brazil
- Fundação Medicina Tropical Doutor Heitor Vieira Dourado, Manaus, Brazil
- Programa de Pós-Graduação em Medicina Tropical, Universidade do Estado do Amazonas, Manaus, Brazil
- Universidade Nilton Lins, Manaus, Brazil
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9
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Borborema MEA, da Silva Santos AF, de Lucena TMC, Crovella S, da Silva Rabello MC, de Azevêdo Silva J. Pathogen recognition pathway gene variants and inflammasome sensors gene expression in tuberculosis patients under treatment. Mol Biol Rep 2024; 51:161. [PMID: 38252221 DOI: 10.1007/s11033-023-09155-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 12/12/2023] [Indexed: 01/23/2024]
Abstract
BACKGROUND Several epidemiological studies have suggested that genetic variations in encoding pattern recognition receptors (PRRs) genes such as Toll Like Receptors (TLRs) and their signaling products, may influence the susceptibility, severity and outcome of tuberculosis (TB). After sensing a pathogen, the cell responds producing an inflammatory response, to restrain the pathogen's successful course of infection. Herein we assessed single nucleotide polymorphisms (SNP) and gene expression from pathogen recognition and inflammasome pathways in Brazilian TB patients. METHODS AND RESULTS For genetic association analysis we included MYD88 and TLR4, PRRs sensing proteins. Allele distribution for MYD88 rs6853 (A > G) and TLR4 rs7873784 (C > G) presented conserved among the tested samples with statistically differential distribution in TB patients versus controls. However, when testing according to sample ethnicity (African or Caucasian-derived individuals) we identified that the rs6853 G/G genotype was associated with a lower susceptibility to TB in Caucasian population. Meanwhile, the rs7873784 G/G genotype was associated with a higher TB susceptibility in Afro-descendant ethnicity individuals. We also aimed to verify MYD88 and the inflammasome genes NLRP1 and NLRC4 expression in order to connect to active TB and/or clinical aspects. CONCLUSIONS We identified that inflammasome gene expression in TB patients under treatment display a similar pattern as in healthy controls, indicating that TB treatment impairs NLRP1 inflammasome activation.
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Affiliation(s)
- Maria Eduarda Albuquerque Borborema
- Laboratory of Human Genetics and Molecular Biology, Department of Genetics, Center for Biosciences, Federal University of Pernambuco, Av. Prof. Moraes Rego, 1235, Recife, PE, 50670-901 - CEP, Brazil
- Keizo Asami Institute, Federal University of Pernambuco, Recife, PE, 50740-465 - CEP, Brazil
| | - Ariane Fernandes da Silva Santos
- Laboratory of Human Genetics and Molecular Biology, Department of Genetics, Center for Biosciences, Federal University of Pernambuco, Av. Prof. Moraes Rego, 1235, Recife, PE, 50670-901 - CEP, Brazil
- Keizo Asami Institute, Federal University of Pernambuco, Recife, PE, 50740-465 - CEP, Brazil
| | - Thays Maria Costa de Lucena
- Laboratory of Human Genetics and Molecular Biology, Department of Genetics, Center for Biosciences, Federal University of Pernambuco, Av. Prof. Moraes Rego, 1235, Recife, PE, 50670-901 - CEP, Brazil
- Keizo Asami Institute, Federal University of Pernambuco, Recife, PE, 50740-465 - CEP, Brazil
| | - Sergio Crovella
- Keizo Asami Institute, Federal University of Pernambuco, Recife, PE, 50740-465 - CEP, Brazil
| | | | - Jaqueline de Azevêdo Silva
- Laboratory of Human Genetics and Molecular Biology, Department of Genetics, Center for Biosciences, Federal University of Pernambuco, Av. Prof. Moraes Rego, 1235, Recife, PE, 50670-901 - CEP, Brazil.
- Keizo Asami Institute, Federal University of Pernambuco, Recife, PE, 50740-465 - CEP, Brazil.
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10
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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] [Grants] [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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11
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Mayer-Barber KD. Granulocytes subsets and their divergent functions in host resistance to Mycobacterium tuberculosis - a 'tipping-point' model of disease exacerbation. Curr Opin Immunol 2023; 84:102365. [PMID: 37437471 PMCID: PMC10543468 DOI: 10.1016/j.coi.2023.102365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 05/29/2023] [Accepted: 06/14/2023] [Indexed: 07/14/2023]
Abstract
Granulocytes are innate immune effector cells with essential functions in host resistance to bacterial infections. I will discuss emerging evidence that during Mycobacterium tuberculosis infection, counter-intuitively, eosinophils are host-protective while neutrophils are host detrimental. Additionally, I will propose a 'tipping-point' model in which neutrophils are an integral part of a feedforward loop driving tuberculosis disease exacerbation.
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Affiliation(s)
- Katrin D Mayer-Barber
- Inflammation and Innate Immunity Unit, Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, 20892, USA.
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12
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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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13
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Suliman S, Jaganath D, DiNardo A. Predicting Pediatric Tuberculosis: The Need for Age-Specific Host Biosignatures. Clin Infect Dis 2023; 77:450-452. [PMID: 37144361 PMCID: PMC10425193 DOI: 10.1093/cid/ciad270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 05/03/2023] [Indexed: 05/06/2023] Open
Affiliation(s)
- Sara Suliman
- Department of Medicine, Division of Experimental Medicine, Zuckerberg San Francisco General Hospital, University of California San Francisco, San Francisco, California, USA
- Chan Zuckerberg Biohub, San Francisco, California, USA
| | - Devan Jaganath
- Division of Pediatric Infectious Diseases, University of California San Francisco, San Francisco, California, USA
| | - Andrew DiNardo
- Global TB Program, Center for Human Immunbiology, Baylor College of Medicine, Houston, Texas, USA
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
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14
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Sinha P, Ranjan RK, Shankar M, Bharti A, Shekhar R. Serum Protein Electrophoresis Bands As Biomarkers for Drug-Sensitive Pulmonary Tuberculosis. Cureus 2023; 15:e44424. [PMID: 37791165 PMCID: PMC10543924 DOI: 10.7759/cureus.44424] [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] [Accepted: 08/31/2023] [Indexed: 10/05/2023] Open
Abstract
INTRODUCTION India has the highest cases of tuberculosis worldwide. According to WHO (2022), the incidence of tuberculosis in India is 210 per 100,000 population. Their incidence of new positive smear cases is 75 per 100,000 population per year. In tuberculosis, the level of albumin decreases while globulin increases leading to a low albumin to globulin (A/G) ratio, and electrophoresis of serum proteins are good diagnostic approach and provides essential information for monitoring treatment outcomes. MATERIALS AND METHODS The present study includes 50 cases of pulmonary tuberculosis and 50 age-sex-matched healthy controls. Initially, serum protein estimation and electrophoresis were performed in newly diagnosed patients and controls. All drugs were given as National Tuberculosis Elimination Programme (NTEP) guidelines and blood samples were collected at two-month, four-month, and six-month intervals, and different serum protein fractions were compared and analyzed. RESULTS The total serum protein was significantly lower in the cases than in the controls; 6.12±0.61 vs. 7.02±0.56 g/dL (p˂0.0020, t-value=3.12). The mean serum albumin was also significantly lower in the cases compared to the controls; 1.65±0.69 vs. 3.87±0.47g/dL (p˂0.0001, t-value=10.98). The α1 globulin started to rise after four months of treatment and at six months level was 0.262±0.32 g/dL. The level of γ globulin continuously decreases after antituberculous treatment to 1.56±0.67 gm/dL at six months. CONCLUSION The cause of the decrease in total protein and albumin may be due to malnutrition leading to low cellular immunity. Serum protein level and protein electrophoresis should be analyzed as routine tests in patients before, during, and after treatment. It helps us in identifying patients at risk of pulmonary tuberculosis as well prognosis of the disease. This study is a valuable guide in deciding the effective management of tuberculosis patients with drug treatment plans and appropriate dietary intake. Hence, it highlights the complex relationship that exists between poverty and disease.
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Affiliation(s)
- Poonam Sinha
- Biochemistry, Indira Gandhi Institute of Medical Sciences, Patna, IND
| | - Ranjay K Ranjan
- Forensic Medicine and Toxicology, Nalanda Medical College and Hospital, Patna, IND
| | - Manish Shankar
- Pulmonary Medicine, Indira Gandhi Institute of Medical Sciences, Patna, IND
| | - Archana Bharti
- Biochemistry, Indira Gandhi Institute of Medical Sciences, Patna, IND
| | - Ravi Shekhar
- Biochemistry, Indira Gandhi Institute of Medical Sciences, Patna, IND
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15
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Ochoa AE, Congel JH, Corley JM, Janssen WJ, Nick JA, Malcolm KC, Hisert KB. Dectin-1-Independent Macrophage Phagocytosis of Mycobacterium abscessus. Int J Mol Sci 2023; 24:11062. [PMID: 37446240 PMCID: PMC10341562 DOI: 10.3390/ijms241311062] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 06/25/2023] [Accepted: 06/29/2023] [Indexed: 07/15/2023] Open
Abstract
Mycobacterium abscessus, a species of nontuberculous mycobacteria (NTM), is an opportunistic pathogen that is readily cleared by healthy lungs but can cause pulmonary infections in people with chronic airway diseases. Although knowledge pertaining to molecular mechanisms of host defense against NTM is increasing, macrophage receptors that recognize M. abscessus remain poorly defined. Dectin-1, a C-type lectin receptor identified as a fungal receptor, has been shown to be a pathogen recognition receptor (PRR) for both M. tuberculosis and NTM. To better understand the role of Dectin-1 in host defense against M. abscessus, we tested whether blocking Dectin-1 impaired the uptake of M. abscessus by human macrophages, and we compared M. abscessus pulmonary infection in Dectin-1-deficient and wild-type mice. Blocking antibody for Dectin-1 did not reduce macrophage phagocytosis of M. abscessus, but did reduce the ingestion of the fungal antigen zymosan. Laminarin, a glucan that blocks Dectin-1 and other PRRs, caused decreased phagocytosis of both M. abscessus and zymosan. Dectin-1-/- mice exhibited no defects in the control of M. abscessus infection, and no differences were detected in immune cell populations between wild type and Dectin-1-/- mice. These data demonstrate that murine defense against M. abscessus pulmonary infection, as well as ingestion of M. abscessus by human macrophages, can occur independent of Dectin-1. Thus, additional PRR(s) recognized by laminarin participate in macrophage phagocytosis of M. abscessus.
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Affiliation(s)
| | | | | | | | | | | | - Katherine B. Hisert
- Department of Medicine, National Jewish Health, 1400 Jackson Street, Room A550, Denver, CO 80206, USA
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16
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Hang NTL, Hijikata M, Maeda S, Thuong PH, Huan HV, Hoang NP, Tam DB, Anh PT, Huyen NT, Cuong VC, Kobayashi N, Wakabayashi K, Miyabayashi A, Seto S, Keicho N. Host-pathogen relationship in retreated tuberculosis with major rifampicin resistance-conferring mutations. Front Microbiol 2023; 14:1187390. [PMID: 37469437 PMCID: PMC10352910 DOI: 10.3389/fmicb.2023.1187390] [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: 03/16/2023] [Accepted: 06/09/2023] [Indexed: 07/21/2023] Open
Abstract
Introduction It is assumed that host defense systems eliminating the pathogen and regulating tissue damage make a strong impact on the outcome of tuberculosis (TB) disease and that these processes are affected by rifampicin (RIF) resistance-conferring mutations of Mycobacterium tuberculosis (Mtb). However, the host responses to the pathogen harboring different mutations have not been studied comprehensively in clinical settings. We analyzed clinico-epidemiological factors and blood transcriptomic signatures associated with major rpoB mutations conferring RIF resistance in a cohort study. Methods Demographic data were collected from 295 active pulmonary TB patients with treatment history in Hanoi, Vietnam. When recruited, drug resistance-conferring mutations and lineage-specific variations were identified using whole-genome sequencing of clinical Mtb isolates. Before starting retreatment, total RNA was extracted from the whole blood of HIV-negative patients infected with Mtb that carried either the rpoB H445Y or rpoB S450L mutation, and the total RNA was subjected to RNA sequencing after age-gender matching. The individual RNA expression levels in the blood sample set were also measured using real-time RT-PCR. Logistic and linear regression models were used to assess possible associations. Results In our cohort, rpoB S450L and rpoB H445Y were major RIF resistance-conferring mutations [32/87 (36.8%) and 15/87 (17.2%), respectively]. H445Y was enriched in the ancient Beijing genotype and was associated with nonsynonymous mutations of Rv1830 that has been reported to regulate antibiotic resilience. H445Y was also more frequently observed in genetically clustered strains and in samples from patients who had received more than one TB treatment episode. According to the RNA sequencing, gene sets involved in the interferon-γ and-α pathways were downregulated in H445Y compared with S450L. The qRT-PCR analysis also confirmed the low expression levels of interferon-inducible genes, including BATF2 and SERPING1, in the H445Y group, particularly in patients with extensive lesions on chest X-ray. Discussion Our study results showed that rpoB mutations as well as Mtb sublineage with additional genetic variants may have significant effects on host response. These findings strengthen the rationale for investigation of host-pathogen interactions to develop countermeasures against epidemics of drug-resistant TB.
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Affiliation(s)
| | - Minako Hijikata
- Department of Pathophysiology and Host Defense, The Research Institute of Tuberculosis, JATA, Tokyo, Japan
| | - Shinji Maeda
- Faculty of Pharmaceutical Sciences, Hokkaido University of Science, Sapporo, Hokkaido, Japan
| | | | | | | | - Do Bang Tam
- Department of Biochemistry, Hematology and Blood Transfusion, Hanoi Lung Hospital, Hanoi, Vietnam
| | - Pham Thu Anh
- Tuberculosis Network Management Office, Hanoi Lung Hospital, Hanoi, Vietnam
| | - Nguyen Thu Huyen
- NCGM-BMH Medical Collaboration Center, Hanoi, Vietnam
- Department of Health Policy and Economics, Hanoi University of Public Health, Hanoi, Vietnam
| | | | | | - Keiko Wakabayashi
- Department of Pathophysiology and Host Defense, The Research Institute of Tuberculosis, JATA, Tokyo, Japan
| | - Akiko Miyabayashi
- Department of Pathophysiology and Host Defense, The Research Institute of Tuberculosis, JATA, Tokyo, Japan
| | - Shintaro Seto
- Department of Pathophysiology and Host Defense, The Research Institute of Tuberculosis, JATA, Tokyo, Japan
| | - Naoto Keicho
- The Research Institute of Tuberculosis, JATA, Tokyo, Japan
- National Center for Global Health and Medicine, Tokyo, Japan
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17
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Ramasubramani P, Kar SS, Sarkar S, Negi VS, Satheeh S, Mohanty Mohapatra M, Chengappa K. Association of Selected Cardiovascular Markers With Tuberculosis: Community-Based Exploratory Cross-Sectional Analytical Study in Puducherry. Cureus 2023; 15:e42343. [PMID: 37621832 PMCID: PMC10444981 DOI: 10.7759/cureus.42343] [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] [Accepted: 07/23/2023] [Indexed: 08/26/2023] Open
Abstract
Introduction India accounts for one-fourth of the global tuberculosis (TB) burden and also faces a rising burden of non-communicable diseases. Only a few have studied the association between the infective pathogenesis of TB and cardiovascular diseases (CVD). Methods A cross-sectional exploratory analytical design was used to compare CVD risk factors and immunological and radiological parameters. This was a pilot study conducted in two primary health centers in urban Puducherry between February 2020 and March 2021. Household contacts (HHC) were either spouses or siblings of the newly diagnosed pulmonary tuberculosis (PTB) patients selected for comparison as their exposure to infection would be similar to those who were diseased yet did not develop illness. Assuming a difference of 5% in CVD risk between the general population and TB patients, with a 95% confidence interval, the sample size calculated was 153 in each group by nMaster v2.0. Considering the feasibility and resource constrain, we recruited 50 newly diagnosed PTB patients, their age- and gender-matched 50 HHC and 50 PTB patients who completed treatment a year before. CVD risk factors were compared using chi-square or Fisher exact test. Interleukins-6 (IL-6), interferon-gamma (INF-γ), highly specific - C reactive protein (hs-CRP), and carotid intima-media thickness (CIMT) were compared using ANOVA or Kruskal-Wallis test. Results Most participants from each group belonged to lower socio-economic strata and were males (40/50). Alcohol intake was higher among newly diagnosed and treatment-completed PTB patients (82.5% vs 72.5%). Excess salt intake (58%) was present more in newly diagnosed PTB patients. General and abdominal obesity were seen more among HHC (64% and 84%) and treatment-completed PTB patients (50% and 74%). IL-6 was higher in newly diagnosed PTB patients, whereas INF-γ and hs-CRP were higher in treatment-completed PTB patients. The largest proportion of those having high CIMT values was also in the treatment-completed PTB patients. Conclusion Levels of immune markers hint at the role of inflammation due to TB disease being related to the high CIMT values among the newly diagnosed and treatment-completed PTB patients. CVD risk was higher among TB patients even if they had completed treatment and were declared cured.
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Affiliation(s)
- Premkumar Ramasubramani
- Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education & Research, Puducherry, IND
| | - Sitanshu Sekhar Kar
- Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education & Research, Puducherry, IND
| | - Sonali Sarkar
- Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education & Research, Puducherry, IND
| | - Vir Singh Negi
- Department of Clinical Immunology, Jawaharlal Institute of Postgraduate Medical Education & Research, Puducherry, IND
| | - Santhosh Satheeh
- Department of Cardiology, Jawaharlal Institute of Postgraduate Medical Education & Research, Pondicherry, IND
| | - Madhusmita Mohanty Mohapatra
- Department of Pulmonary Medicine, Jawaharlal Institute of Postgraduate Medical Education & Research, Puducherry, IND
| | - Kavadichanda Chengappa
- Department of Clinical Immunology, Jawaharlal Institute of Postgraduate Medical Education & Research, Pondicherry, IND
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18
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Queiroz ATL, Vinhaes CL, Fukutani ER, Gupte AN, Kumar NP, Fukutani KF, Arriaga MB, Sterling TR, Babu S, Gaikwad S, Karyakarte R, Mave V, Paradhkar M, Viswanathan V, Gupta A, Andrade BB, Kornfeld H. A multi-center, prospective cohort study of whole blood gene expression in the tuberculosis-diabetes interaction. Sci Rep 2023; 13:7769. [PMID: 37173394 PMCID: PMC10180618 DOI: 10.1038/s41598-023-34847-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 05/09/2023] [Indexed: 05/15/2023] Open
Abstract
Diabetes mellitus (DM) increases tuberculosis (TB) severity. We compared blood gene expression in adults with pulmonary TB, with or without diabetes mellitus (DM) from sites in Brazil and India. RNA sequencing (RNAseq) performed at baseline and during TB treatment. Publicly available baseline RNAseq data from South Africa and Romania reported by the TANDEM Consortium were also analyzed. Across the sites, differentially expressed genes varied for each condition (DM, TB, and TBDM) and no pattern classified any one group across all sites. A concise signature of TB disease was identified but this was expressed equally in TB and TBDM. Pathway enrichment analysis failed to distinguish TB from TBDM, although there was a trend for greater neutrophil and innate immune pathway activation in TBDM participants. Pathways associated with insulin resistance, metabolic dysfunction, diabetic complications, and chromosomal instability were positively correlated with glycohemoglobin. The immune response to pulmonary TB as reflected by whole blood gene expression is substantially similar with or without comorbid DM. Gene expression pathways associated with the microvascular and macrovascular complications of DM are upregulated during TB, supporting a syndemic interaction between these coprevalent diseases.
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Affiliation(s)
- Artur T L Queiroz
- Centro de Integração de Dados e Conhecimentos para Saúde, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, 41810‑710, Brazil
| | - Caian L Vinhaes
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil
- Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, 41810‑710, Brazil
- Escola Bahiana de Medicina e Saúde Pública (EBMSP), Salvador, 40290-150, Brazil
| | - Eduardo R Fukutani
- Centro de Integração de Dados e Conhecimentos para Saúde, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil
| | - Akshay N Gupte
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Nathella Pavan Kumar
- National Institutes of Health- NIRT - International Center for Excellence in Research, Chennai, India
| | - Kiyoshi F Fukutani
- Laboratório de Inflamação e Biomarcadores, Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil
| | - 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, 41810‑710, Brazil
| | - Timothy R Sterling
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Subash Babu
- National Institutes of Health- NIRT - International Center for Excellence in Research, Chennai, India
| | - Sanjay Gaikwad
- Department of Pulmonary Medicine, Byramjee-Jeejeebhoy Government Medical College and Sassoon General Hospitals, Pune, India
| | - Rajesh Karyakarte
- Department of Microbiology, Byramjee-Jeejeebhoy Government Medical College and Sassoon General Hospitals, Pune, India
| | - Vidya Mave
- Byramjee-Jeejeebhoy Government Medical College-Johns Hopkins University Clinical Research Site, Pune, India
- Johns Hopkins Center for Infectious Diseases in India, Pune, India
| | - Mandar Paradhkar
- Byramjee-Jeejeebhoy Government Medical College-Johns Hopkins University Clinical Research Site, Pune, India
- Johns Hopkins Center for Infectious Diseases in India, Pune, India
| | | | - Amita Gupta
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - 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, 41810‑710, Brazil.
- Escola Bahiana de Medicina e Saúde Pública (EBMSP), Salvador, 40290-150, Brazil.
- Faculdade de Tecnologia e Ciências, Instituto de Pesquisa Clínica e Translacional, Salvador, 41741-590, Brazil.
| | - Hardy Kornfeld
- Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA.
- UMass Chan Medical School, Worcester, MA, USA.
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19
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Luo Y, Xue Y, Liu W, Song H, Huang Y, Tang G, Wang X, Cai Y, Wang F, Guo X, Wang Q, Sun Z. Convolutional neural network based on T-SPOT.TB assay promoting the discrimination between active tuberculosis and latent tuberculosis infection. Diagn Microbiol Infect Dis 2023; 105:115892. [PMID: 36702072 DOI: 10.1016/j.diagmicrobio.2023.115892] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2022] [Revised: 12/27/2022] [Accepted: 01/03/2023] [Indexed: 01/09/2023]
Abstract
OBJECTIVES The study aims to investigate the potential of convolutional neural network (CNN) based on spot image of T-SPOT assay for distinguishing active tuberculosis (ATB) from latent tuberculosis infection (LTBI). METHODS CNN was applied to recognize and classify T-SPOT spot image. Logistic regression was used to establish prediction model based on CNN. RESULTS Areas under the receiver operating characteristic curve (AUCs) of early secreted antigenic target 6 (ESAT-6) CNN, culture filtrate protein 10 (CFP-10) CNN, and phytohemagglutinin (PHA) CNN were more than 0.7 in differentiating ATB from LTBI, while the performance of these indicators was significantly better than that of spot number. Furthermore, prediction model based on the combination of CNNs yielded an AUC of 0.898. The model presented a sensitivity of 85.76% and a specificity of 90.23%. CONCLUSIONS The current study identified CNN based on T-SPOT spot image with the potential to serve as a tool for TB diagnostics.
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Affiliation(s)
- Ying Luo
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Ying Xue
- Department of Immunology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Liu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huijuan Song
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yi Huang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guoxing Tang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaochen Wang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yimin Cai
- Department of Epidemiology and Biostatistics, Key Laboratory of Environmental Health of Ministry of Education, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Feng Wang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xueyun Guo
- Department of Dermatology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Eurofins Consumer Product Testing (Guangzhou) Co. Ltd., Guangzhou, China
| | - Qi Wang
- Télécom Physique Strasbourg, Illkirch-Graffenstaden, France.
| | - Ziyong Sun
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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20
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Kircher M, Säurich J, Selle M, Jung K. Assessing Outlier Probabilities in Transcriptomics Data When Evaluating a Classifier. Genes (Basel) 2023; 14:genes14020387. [PMID: 36833313 PMCID: PMC9956321 DOI: 10.3390/genes14020387] [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: 12/09/2022] [Revised: 01/27/2023] [Accepted: 01/30/2023] [Indexed: 02/04/2023] Open
Abstract
Outliers in the training or test set used to fit and evaluate a classifier on transcriptomics data can considerably change the estimated performance of the model. Hence, an either too weak or a too optimistic accuracy is then reported and the estimated model performance cannot be reproduced on independent data. It is then also doubtful whether a classifier qualifies for clinical usage. We estimate classifier performances in simulated gene expression data with artificial outliers and in two real-world datasets. As a new approach, we use two outlier detection methods within a bootstrap procedure to estimate the outlier probability for each sample and evaluate classifiers before and after outlier removal by means of cross-validation. We found that the removal of outliers changed the classification performance notably. For the most part, removing outliers improved the classification results. Taking into account the fact that there are various, sometimes unclear reasons for a sample to be an outlier, we strongly advocate to always report the performance of a transcriptomics classifier with and without outliers in training and test data. This provides a more diverse picture of a classifier's performance and prevents reporting models that later turn out to be not applicable for clinical diagnoses.
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21
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Chang A, Loy CJ, Lenz JS, Steadman A, Andama A, Nhung NV, Yu C, Worodria W, Denkinger CM, Nahid P, Cattamanchi A, De Vlaminck I. Circulating Cell-Free RNA in Blood as a Host Response Biomarker for the Detection of Tuberculosis. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.01.11.23284433. [PMID: 36711999 PMCID: PMC9882491 DOI: 10.1101/2023.01.11.23284433] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Tuberculosis (TB) remains a leading cause of death from an infectious disease worldwide. This is partly due to a lack of tools to effectively screen and triage individuals with potential TB. Whole blood RNA signatures have been extensively studied as potential biomarkers for TB, but they have failed to meet the World Health Organization's (WHOs) target product profiles (TPPs) for a non-sputum triage or diagnostic test. In this study, we investigated the utility of plasma cell-free RNA (cfRNA) as a host response biomarker for TB. We used RNA profiling by sequencing to analyze plasma samples from 182 individuals with a cough lasting at least two weeks, who were seen at outpatient clinics in Uganda, Vietnam, and the Philippines. Of these individuals, 100 were diagnosed with microbiologically-confirmed TB. Our analysis of the plasma cfRNA transcriptome revealed 541 differentially abundant genes, the top 150 of which were used to train 15 machine learning models. The highest performing model led to a 9-gene signature that had a diagnostic accuracy of 89.1% (95% CI: 83.6-93.4%) and an area under the curve of 0.934 (95% CI: 0.8674-1) for microbiologically-confirmed TB. This 9-gene signature exceeds the optimal WHO TPPs for a TB triage test (sensitivity: 96.2% [95% CI: 80.9-100%], specificity: 89.7% [95% CI: 72.4-100%]) and was robust to differences in sample collection, geographic location, and HIV status. Overall, our results demonstrate the utility of plasma cfRNA for the detection of TB and suggest the potential for a point-of-care, gene expression-based assay to aid in early detection of TB.
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Affiliation(s)
- Adrienne Chang
- Meinig School of Biomedical Engineering, Cornell University; Ithaca, NY, USA
| | - Conor J. Loy
- Meinig School of Biomedical Engineering, Cornell University; Ithaca, NY, USA
| | - Joan S. Lenz
- Meinig School of Biomedical Engineering, Cornell University; Ithaca, NY, USA
| | | | | | | | - Charles Yu
- De La Salle Medical and Health Sciences Institute; Dasmarinas, Philippines
| | | | - Claudia M. Denkinger
- University Hospital Heidelberg & German Center of Infection Research; Heidelberg, Germany
| | - Payam Nahid
- UCSF Center for Tuberculosis, University of California San Francisco; San Francisco, CA, USA
| | - Adithya Cattamanchi
- UCSF Center for Tuberculosis, University of California San Francisco; San Francisco, CA, USA
- Division of Pulmonary and Critical Care Medicine, University of California Irvine; Orange, CA, USA
| | - Iwijn De Vlaminck
- Meinig School of Biomedical Engineering, Cornell University; Ithaca, NY, USA
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22
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Chendi BH, Jooste T, Scriba TJ, Kidd M, Mendelsohn S, Tonby K, Walzl G, Dyrhol-Riise AM, Chegou NN. Utility of a three-gene transcriptomic signature in the diagnosis of tuberculosis in a low-endemic hospital setting. Infect Dis (Lond) 2023; 55:44-54. [PMID: 36214761 DOI: 10.1080/23744235.2022.2129779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Host transcriptomic blood signatures have demonstrated diagnostic potential for tuberculosis (TB), requiring further validation across different geographical settings. Discriminating TB from other diseases with similar clinical manifestations is crucial for the development of an accurate immunodiagnostic tool. In this exploratory cohort study, we evaluated the performance of potential blood-based transcriptomic signatures in distinguishing TB disease from non-TB lower respiratory tract infections in hospitalised patients in a TB low-endemic country. METHOD Quantitative real-time polymerase chain reaction qPCR) was used to evaluate 26 previously published genes in blood from 31 patients (14 TB and 17 lower respiratory tract infection cases) admitted to Oslo University Hospital in Norway. The diagnostic accuracies of differentially expressed genes were determined by receiver operating characteristic curves. RESULTS A significant difference (p < .01) in the age distribution was observed between patients with TB (mean age, 40 ± 15 years) and lower respiratory tract infection (mean age 59 ± 12 years). Following adjustment for age, ETV7, GBP1, GBP5, P2RY14 and BLK were significantly differentially expressed between patients with TB and those with LRI. A general discriminant analysis generated a three-gene signature (BAFT2, ETV7 and CD1C), which diagnosed TB with an area under the receiver operating characteristic curve (AUC) of 0.86 (95% CI, 0.69 - 1.00), sensitivity of 69.23% (95% CI, 38.57%-90.91%) and specificity of 94.12% (95% CI, 71.31%-99.85%). CONCLUSION The three-genes signature may have potential to improve diagnosis of TB in a hospitalised low-burden setting. However, the influence of confounding variables or covariates such as age requires further evaluation in larger studies.
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Affiliation(s)
- Bih Hycenta Chendi
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.,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, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Tracey Jooste
- 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, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Thomas Jens Scriba
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Martin Kidd
- Department of Statistics and Actuarial Sciences, Centre for Statistical Consultation, Stellenbosch University, Cape Town, South Africa
| | - Simon Mendelsohn
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Kristian Tonby
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.,Department of Infectious Diseases, Oslo University Hospital, Oslo, Norway
| | - Gerhard Walzl
- 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, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Anne M Dyrhol-Riise
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.,Department of Infectious Diseases, Oslo University Hospital, Oslo, Norway
| | - Novel Njweipi 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, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
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23
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Luo Y, Xue Y, Liu W, Song H, Huang Y, Tang G, Wang F, Wang Q, Cai Y, Sun Z. Development of diagnostic algorithm using machine learning for distinguishing between active tuberculosis and latent tuberculosis infection. BMC Infect Dis 2022; 22:965. [PMID: 36581808 PMCID: PMC9798640 DOI: 10.1186/s12879-022-07954-7] [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: 09/19/2022] [Accepted: 12/19/2022] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND The discrimination between active tuberculosis (ATB) and latent tuberculosis infection (LTBI) remains challenging. The present study aims to investigate the value of diagnostic models established by machine learning based on multiple laboratory data for distinguishing Mycobacterium tuberculosis (Mtb) infection status. METHODS T-SPOT, lymphocyte characteristic detection, and routine laboratory tests were performed on participants. Diagnostic models were built according to various algorithms. RESULTS A total of 892 participants (468 ATB and 424 LTBI) and another 263 participants (125 ATB and 138 LTBI), were respectively enrolled at Tongji Hospital (discovery cohort) and Sino-French New City Hospital (validation cohort). Receiver operating characteristic (ROC) curve analysis showed that the value of individual indicator for differentiating ATB from LTBI was limited (area under the ROC curve (AUC) < 0.8). A total of 28 models were successfully established using machine learning. Among them, the AUCs of 25 models were more than 0.9 in test set. It was found that conditional random forests (cforest) model, based on the implementation of the random forest and bagging ensemble algorithms utilizing conditional inference trees as base learners, presented best discriminative power in segregating ATB from LTBI. Specially, cforest model presented an AUC of 0.978, with the sensitivity of 93.39% and the specificity of 91.18%. Mtb-specific response represented by early secreted antigenic target 6 (ESAT-6) and culture filtrate protein 10 (CFP-10) spot-forming cell (SFC) in T-SPOT assay, as well as global adaptive immunity assessed by CD4 cell IFN-γ secretion, CD8 cell IFN-γ secretion, and CD4 cell number, were found to contribute greatly to the cforest model. Superior performance obtained in the discovery cohort was further confirmed in the validation cohort. The sensitivity and specificity of cforest model in validation set were 92.80% and 89.86%, respectively. CONCLUSIONS Cforest model developed upon machine learning could serve as a valuable and prospective tool for identifying Mtb infection status. The present study provided a novel and viable idea for realizing the clinical diagnostic application of the combination of machine learning and laboratory findings.
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Affiliation(s)
- Ying Luo
- grid.412793.a0000 0004 1799 5032Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road 1095, Wuhan, 430030 China
| | - Ying Xue
- grid.33199.310000 0004 0368 7223Department of Immunology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, Wuhan, China
| | - Wei Liu
- grid.412793.a0000 0004 1799 5032Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road 1095, Wuhan, 430030 China
| | - Huijuan Song
- grid.412793.a0000 0004 1799 5032Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road 1095, Wuhan, 430030 China
| | - Yi Huang
- grid.412793.a0000 0004 1799 5032Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road 1095, Wuhan, 430030 China
| | - Guoxing Tang
- grid.412793.a0000 0004 1799 5032Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road 1095, Wuhan, 430030 China
| | - Feng Wang
- grid.412793.a0000 0004 1799 5032Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road 1095, Wuhan, 430030 China
| | - Qi Wang
- Télécom Physique Strasbourg, Illkirch-Graffenstaden, France
| | - Yimin Cai
- grid.33199.310000 0004 0368 7223Department of Epidemiology and Biostatistics, Key Laboratory of Environmental Health of Ministry of Education, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, Wuhan, China
| | - Ziyong Sun
- grid.412793.a0000 0004 1799 5032Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road 1095, Wuhan, 430030 China
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24
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Qu M, Zhu H, Zhang X. Extracellular vesicle-mediated regulation of macrophage polarization in bacterial infections. Front Microbiol 2022; 13:1039040. [PMID: 36619996 PMCID: PMC9815515 DOI: 10.3389/fmicb.2022.1039040] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 11/25/2022] [Indexed: 12/24/2022] Open
Abstract
Extracellular vesicles (EVs) are nanoscale membrane-enveloped vesicles secreted by prokaryotic and eukaryotic cells, which are commonly defined as membrane vesicles (MVs) and exosomes, respectively. They play critical roles in the bacteria-bacteria and bacteria-host interactions. In infectious diseases caused by bacteria, as the first line of defense against pathogens, the macrophage polarization mode commonly determines the success or failure of the host's response to pathogen aggression. M1-type macrophages secrete pro-inflammatory factors that support microbicidal activity, while alternative M2-type macrophages secrete anti-inflammatory factors that perform an antimicrobial immune response but partially allow pathogens to replicate and survive intracellularly. Membrane vesicles (MVs) released from bacteria as a distinctive secretion system can carry various components, including bacterial effectors, nucleic acids, or lipids to modulate macrophage polarization in host-pathogen interaction. Similar to MVs, bacteria-infected macrophages can secrete exosomes containing a variety of components to manipulate the phenotypic polarization of "bystander" macrophages nearby or long distance to differentiate into type M1 or M2 to regulate the course of inflammation. Exosomes can also repair tissue damage associated with the infection by upregulating the levels of anti-inflammatory factors, downregulating the pro-inflammatory factors, and regulating cellular biological behaviors. The study of the mechanisms by which EVs modulate macrophage polarization has opened new frontiers in delineating the molecular machinery involved in bacterial pathogenesis and challenges in providing new strategies for diagnosis and therapy.
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Affiliation(s)
- Mingjuan Qu
- School of Life Sciences, Ludong University, Yantai, China,Yantai Key Laboratory of Animal Pathogenetic Microbiology and Immunology, Yantai, China
| | - Hongwei Zhu
- School of Life Sciences, Ludong University, Yantai, China,Yantai Key Laboratory of Animal Pathogenetic Microbiology and Immunology, Yantai, China,Shandong Provincial Key Laboratory of Quality Safety Monitoring and Risk Assessment for Animal Products, Jinan, China
| | - Xingxiao Zhang
- School of Life Sciences, Ludong University, Yantai, China,Yantai Key Laboratory of Animal Pathogenetic Microbiology and Immunology, Yantai, China,Shandong Breeding Environmental Control Engineering Laboratory, Yantai, China,*Correspondence: Xingxiao Zhang, ✉
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25
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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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26
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Yang BF, Zhai F, Yu S, An HJ, Cao ZH, Liu YH, Wang R, Cheng XX. Evaluation of IFIT3 and ORM1 as Biomarkers for Discriminating Active Tuberculosis from Latent Infection. Curr Med Sci 2022; 42:1201-1212. [PMID: 36462134 DOI: 10.1007/s11596-022-2649-6] [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: 08/09/2021] [Accepted: 11/16/2021] [Indexed: 12/04/2022]
Abstract
OBJECTIVE Current commercially available immunological tests cannot be used for discriminating active tuberculosis (TB) from latent TB infection. To evaluate the value of biomarker candidates in the diagnosis of active TB, this study aimed to identify differentially expressed genes in peripheral blood mononuclear cells (PBMCs) between patients with active TB and individuals with latent TB infection by transcriptome sequencing. METHODS The differentially expressed genes in unstimulated PBMCs and in Mycobacterium tuberculosis (Mtb) antigen-stimulated PBMCs from patients with active TB and individuals with latent TB infection were identified by transcriptome sequencing. Selected candidate genes were evaluated in cohorts consisting of 110 patients with TB, 30 individuals with latent TB infections, and 50 healthy controls by quantitative real-time RT-PCR. Receiver operating characteristic (ROC) curve analysis was performed to calculate the diagnostic value of the biomarker candidates. RESULTS Among the differentially expressed genes in PBMCs without Mtb antigen stimulation, interferon-induced protein with tetratricopeptide repeats 3 (IFIT3) had the highest area under curve (AUC) value (0.918, 95% CI: 0.852-0.984, P<0.0001) in discriminating patients with active TB from individuals with latent TB infection, with a sensitivity of 91.86% and a specificity of 84.00%. In Mtb antigen-stimulated PBMCs, orosomucoid 1 (ORM1) had a high AUC value (0.833, 95% CI: 0.752-0.915, P<0.0001), with a sensitivity of 81.94% and a specificity of 70.00%. CONCLUSION IFIT3 and ORM1 might be potential biomarkers for discriminating active TB from latent TB infection.
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Affiliation(s)
- Bing-Fen Yang
- Tuberculosis Prevention and Control Key Laboratory, Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Institute of Senior Department of Tuberculosis, the Eighth Medical Center of Chinese PLA General Hospital, Beijing, 100091, China
| | - Fei Zhai
- Tuberculosis Prevention and Control Key Laboratory, Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Institute of Senior Department of Tuberculosis, the Eighth Medical Center of Chinese PLA General Hospital, Beijing, 100091, China
| | - Shan Yu
- Fourth Division, Senior Department of Tuberculosis, the Eighth Medical Center of PLA General Hospital, Beijing, 100091, China
| | - Hong-Juan An
- Department of Tuberculosis Prevention and Control, Senior Department of Tuberculosis, the Eighth Medical Center of PLA General Hospital, Beijing, 100091, China
| | - Zhi-Hong Cao
- Tuberculosis Prevention and Control Key Laboratory, Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Institute of Senior Department of Tuberculosis, the Eighth Medical Center of Chinese PLA General Hospital, Beijing, 100091, China
| | - Yan-Hua Liu
- Tuberculosis Prevention and Control Key Laboratory, Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Institute of Senior Department of Tuberculosis, the Eighth Medical Center of Chinese PLA General Hospital, Beijing, 100091, China
| | - Ruo Wang
- Tuberculosis Prevention and Control Key Laboratory, Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Institute of Senior Department of Tuberculosis, the Eighth Medical Center of Chinese PLA General Hospital, Beijing, 100091, China
| | - Xiao-Xing Cheng
- Tuberculosis Prevention and Control Key Laboratory, Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Institute of Senior Department of Tuberculosis, the Eighth Medical Center of Chinese PLA General Hospital, Beijing, 100091, China.
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27
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Tripathi D, Devalraju KP, Neela VSK, Mukherjee T, Paidipally P, Radhakrishnan RK, Dozmorov I, Vankayalapati A, Ansari MS, Mallidi V, Bogam AK, Singh KP, Samten B, Valluri VL, Vankayalapati R. Metabolites enhance innate resistance to human Mycobacterium tuberculosis infection. JCI Insight 2022; 7:152357. [PMID: 36509283 DOI: 10.1172/jci.insight.152357] [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: 06/21/2021] [Accepted: 09/29/2022] [Indexed: 11/22/2022] Open
Abstract
To determine the mechanisms that mediate resistance to Mycobacterium tuberculosis (M. tuberculosis) infection in household contacts (HHCs) of patients with tuberculosis (TB), we followed 452 latent TB infection-negative (LTBI-) HHCs for 2 years. Those who remained LTBI- throughout the study were identified as nonconverters. At baseline, nonconverters had a higher percentage of CD14+ and CD3-CD56+CD27+CCR7+ memory-like natural killer (NK) cells. Using a whole-transcriptome and metabolomic approach, we identified deoxycorticosterone acetate as a metabolite with elevated concentrations in the plasma of nonconverters, and further studies showed that this metabolite enhanced glycolytic ATP flux in macrophages and restricted M. tuberculosis growth by enhancing antimicrobial peptide production through the expression of the surface receptor sialic acid binding Ig-like lectin-14. Another metabolite, 4-hydroxypyridine, from the plasma of nonconverters significantly enhanced the expansion of memory-like NK cells. Our findings demonstrate that increased levels of specific metabolites can regulate innate resistance against M. tuberculosis infection in HHCs of patients with TB who never develop LTBI or active TB.
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Affiliation(s)
- Deepak Tripathi
- Department of Pulmonary Immunology and Center for Biomedical Research, School of Community and Rural Health, University of Texas Health Science Center, Tyler, Texas, USA
| | | | | | - Tanmoy Mukherjee
- Department of Pulmonary Immunology and Center for Biomedical Research, School of Community and Rural Health, University of Texas Health Science Center, Tyler, Texas, USA
| | - Padmaja Paidipally
- Department of Pulmonary Immunology and Center for Biomedical Research, School of Community and Rural Health, University of Texas Health Science Center, Tyler, Texas, USA
| | - Rajesh Kumar Radhakrishnan
- Department of Pulmonary Immunology and Center for Biomedical Research, School of Community and Rural Health, University of Texas Health Science Center, Tyler, Texas, USA
| | - Igor Dozmorov
- Department of Immunology, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Abhinav Vankayalapati
- Department of Pulmonary Immunology and Center for Biomedical Research, School of Community and Rural Health, University of Texas Health Science Center, Tyler, Texas, USA
| | - Mohammad Soheb Ansari
- Immunology and Molecular Biology Department, Bhagwan Mahavir Medical Research Centre, Hyderabad, India
| | - Varalakshmi Mallidi
- Immunology and Molecular Biology Department, Bhagwan Mahavir Medical Research Centre, Hyderabad, India
| | - Anvesh Kumar Bogam
- Immunology and Molecular Biology Department, Bhagwan Mahavir Medical Research Centre, Hyderabad, India
| | - Karan P Singh
- Department of Epidemiology and Biostatistics, School of Community and Rural Health, University of Texas Health Science Center, Tyler, Texas, USA
| | - Buka Samten
- Department of Pulmonary Immunology and Center for Biomedical Research, School of Community and Rural Health, University of Texas Health Science Center, Tyler, Texas, USA
| | - Vijaya Lakshmi Valluri
- Immunology and Molecular Biology Department, Bhagwan Mahavir Medical Research Centre, Hyderabad, India
| | - Ramakrishna Vankayalapati
- Department of Pulmonary Immunology and Center for Biomedical Research, School of Community and Rural Health, University of Texas Health Science Center, Tyler, Texas, USA
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28
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Dartois VA, Rubin EJ. Anti-tuberculosis treatment strategies and drug development: challenges and priorities. Nat Rev Microbiol 2022; 20:685-701. [PMID: 35478222 PMCID: PMC9045034 DOI: 10.1038/s41579-022-00731-y] [Citation(s) in RCA: 142] [Impact Index Per Article: 71.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/23/2022] [Indexed: 12/12/2022]
Abstract
Despite two decades of intensified research to understand and cure tuberculosis disease, biological uncertainties remain and hamper progress. However, owing to collaborative initiatives including academia, the pharmaceutical industry and non-for-profit organizations, the drug candidate pipeline is promising. This exceptional success comes with the inherent challenge of prioritizing multidrug regimens for clinical trials and revamping trial designs to accelerate regimen development and capitalize on drug discovery breakthroughs. Most wanted are markers of progression from latent infection to active pulmonary disease, markers of drug response and predictors of relapse, in vitro tools to uncover synergies that translate clinically and animal models to reliably assess the treatment shortening potential of new regimens. In this Review, we highlight the benefits and challenges of 'one-size-fits-all' regimens and treatment duration versus individualized therapy based on disease severity and host and pathogen characteristics, considering scientific and operational perspectives.
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Affiliation(s)
- Véronique A Dartois
- Center for Discovery and Innovation, and Hackensack Meridian School of Medicine, Department of Medical Sciences, Hackensack Meridian Health, Nutley, NJ, USA.
| | - Eric J Rubin
- Harvard T.H. Chan School of Public Health, Department of Immunology and Infectious Diseases, Boston, MA, USA
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29
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Piludiya RI, Dholaria PV, Jivani AJ, Kapadiya KM. Bis-triazole Heterocycles as Antitubercular and Antimicrobial Agents: Synthesis Using Copper-Catalyzed Click Chemistry Approach. RUSSIAN JOURNAL OF ORGANIC CHEMISTRY 2022. [DOI: 10.1134/s1070428022090135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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30
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Geng X, Wu X, Yang Q, Xin H, Zhang B, Wang D, Liu L, Liu S, Chen Q, Liu Z, Zhang M, Pan S, Zhang X, Gao L, Jin Q. Whole transcriptome sequencing reveals neutrophils’ transcriptional landscape associated with active tuberculosis. Front Immunol 2022; 13:954221. [PMID: 36059536 PMCID: PMC9436479 DOI: 10.3389/fimmu.2022.954221] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 07/29/2022] [Indexed: 11/13/2022] Open
Abstract
Neutrophils have been recognized to play an important role in the pathogenesis of tuberculosis in recent years. Interferon-induced blood transcriptional signatures in ATB are predominantly driven by neutrophils. In this study, we performed global RNA-seq on peripheral blood neutrophils from active tuberculosis patients (ATB, n=15); latent tuberculosis infections (LTBI, n=22); and healthy controls (HC, n=21). The results showed that greater perturbations of gene expression patterns happened in neutrophils from ATB individuals than HC or those with LTBI, and a total of 344 differentially expressed genes (DEGs) were observed. Functional enrichment analysis showed that besides the interferon signaling pathway, multiple pattern recognition receptor pathways were significantly activated in ATB, such as NOD-like receptors and Toll-like receptors. Meanwhile, we also observed that the expression of genes related to endocytosis, secretory granules, and neutrophils degranulation were downregulated. Our data also showed that the NF-κB signaling pathway might be inhibited in patients with ATB, which could increase Mycobacterium tuberculosis survival and lead to active tuberculosis status. Furthermore, we validated the accuracy of some differentially expressed genes in an independent cohort using quantitative PCR, and obtained three novel genes (RBM3, CSRNP1, SRSF5) with the ability to discriminate active tuberculosis from LTBI and HC.
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Affiliation(s)
- Xingzhu Geng
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaolin Wu
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qianting Yang
- Guangdong Key Laboratory for Emerging Infectious Diseases, Shenzhen Key Laboratory of Infection & Immunity, Shenzhen Third People’s Hospital, Shenzhen, China
| | - Henan Xin
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bin Zhang
- Center for Diseases Control and Prevention of Zhongmu, Zhengzhou, China
| | - Dakuan Wang
- Center for Diseases Control and Prevention of Zhongmu, Zhengzhou, China
| | - Liguo Liu
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Song Liu
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qi Chen
- Guangdong Key Laboratory for Emerging Infectious Diseases, Shenzhen Key Laboratory of Infection & Immunity, Shenzhen Third People’s Hospital, Shenzhen, China
| | - Zisen Liu
- Center for Diseases Control and Prevention of Zhongmu, Zhengzhou, China
| | - Mingxia Zhang
- Guangdong Key Laboratory for Emerging Infectious Diseases, Shenzhen Key Laboratory of Infection & Immunity, Shenzhen Third People’s Hospital, Shenzhen, China
| | - Shouguo Pan
- Center for Diseases Control and Prevention of Zhongmu, Zhengzhou, China
| | - Xiaobing Zhang
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- *Correspondence: Qi Jin, ; Xiaobing Zhang, ; Lei Gao,
| | - Lei Gao
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- *Correspondence: Qi Jin, ; Xiaobing Zhang, ; Lei Gao,
| | - Qi Jin
- NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Center for Tuberculosis Research, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- *Correspondence: Qi Jin, ; Xiaobing Zhang, ; Lei Gao,
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31
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Correia CN, McHugo GP, Browne JA, McLoughlin KE, Nalpas NC, Magee DA, Whelan AO, Villarreal-Ramos B, Vordermeier HM, Gormley E, Gordon SV, MacHugh DE. High-resolution transcriptomics of bovine purified protein derivative-stimulated peripheral blood from cattle infected with Mycobacterium bovis across an experimental time course. Tuberculosis (Edinb) 2022; 136:102235. [DOI: 10.1016/j.tube.2022.102235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 07/08/2022] [Accepted: 07/14/2022] [Indexed: 11/16/2022]
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32
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Khan A, Zhang K, Singh VK, Mishra A, Kachroo P, Bing T, Won JH, Mani A, Papanna R, Mann LK, Ledezma-Campos E, Aguillon-Duran G, Canaday DH, David SA, Restrepo BI, Viet NN, Phan H, Graviss EA, Musser JM, Kaushal D, Gauduin MC, Jagannath C. Human M1 macrophages express unique innate immune response genes after mycobacterial infection to defend against tuberculosis. Commun Biol 2022; 5:480. [PMID: 35590096 PMCID: PMC9119986 DOI: 10.1038/s42003-022-03387-9] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 04/21/2022] [Indexed: 12/23/2022] Open
Abstract
Mycobacterium tuberculosis (Mtb) is responsible for approximately 1.5 million deaths each year. Though 10% of patients develop tuberculosis (TB) after infection, 90% of these infections are latent. Further, mice are nearly uniformly susceptible to Mtb but their M1-polarized macrophages (M1-MΦs) can inhibit Mtb in vitro, suggesting that M1-MΦs may be able to regulate anti-TB immunity. We sought to determine whether human MΦ heterogeneity contributes to TB immunity. Here we show that IFN-γ-programmed M1-MΦs degrade Mtb through increased expression of innate immunity regulatory genes (Inregs). In contrast, IL-4-programmed M2-polarized MΦs (M2-MΦs) are permissive for Mtb proliferation and exhibit reduced Inregs expression. M1-MΦs and M2-MΦs express pro- and anti-inflammatory cytokine-chemokines, respectively, and M1-MΦs show nitric oxide and autophagy-dependent degradation of Mtb, leading to increased antigen presentation to T cells through an ATG-RAB7-cathepsin pathway. Despite Mtb infection, M1-MΦs show increased histone acetylation at the ATG5 promoter and pro-autophagy phenotypes, while increased histone deacetylases lead to decreased autophagy in M2-MΦs. Finally, Mtb-infected neonatal macaques express human Inregs in their lymph nodes and macrophages, suggesting that M1 and M2 phenotypes can mediate immunity to TB in both humans and macaques. We conclude that human MФ subsets show unique patterns of gene expression that enable differential control of TB after infection. These genes could serve as targets for diagnosis and immunotherapy of TB.
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Affiliation(s)
- Arshad Khan
- Department of Pathology and Genomic Medicine, Houston Methodist Research Institute, Weill-Cornell Medicine, Houston, TX, USA
| | - Kangling Zhang
- Department of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX, USA
| | - Vipul K Singh
- Department of Pathology and Genomic Medicine, Houston Methodist Research Institute, Weill-Cornell Medicine, Houston, TX, USA
| | - Abhishek Mishra
- Department of Pathology and Genomic Medicine, Houston Methodist Research Institute, Weill-Cornell Medicine, Houston, TX, USA
| | - Priyanka Kachroo
- Department of Pathology and Genomic Medicine, Houston Methodist Research Institute, Weill-Cornell Medicine, Houston, TX, USA
| | - Tian Bing
- Department of Pharmacology and Toxicology, University of Texas Medical Branch, Galveston, TX, USA
| | - Jong Hak Won
- Department of Obstetrics, Gynecology and Reproductive Sciences, UTHSC, Houston, TX, USA
| | - Arunmani Mani
- Department of Obstetrics, Gynecology and Reproductive Sciences, UTHSC, Houston, TX, USA
| | - Ramesha Papanna
- Department of Obstetrics, Gynecology and Reproductive Sciences, UTHSC, Houston, TX, USA
| | - Lovepreet K Mann
- Department of Obstetrics, Gynecology and Reproductive Sciences, UTHSC, Houston, TX, USA
| | | | | | - David H Canaday
- Division of Infectious Disease, Case Western Reserve University Cleveland VA, Cleveland, OH, USA
| | - Sunil A David
- Virovax, LLC, Adjuvant Division, Lawrence, Kansas, USA
| | - Blanca I Restrepo
- UT School of Public Health, Brownsville, and STDOI, UT Rio Grande Valley, Brownsville, TX, USA
| | | | - Ha Phan
- Center for Promotion of Advancement of Society, Ha Noi, Vietnam
| | - Edward A Graviss
- Department of Pathology and Genomic Medicine, Houston Methodist Research Institute, Weill-Cornell Medicine, Houston, TX, USA
| | - James M Musser
- Department of Pathology and Genomic Medicine, Houston Methodist Research Institute, Weill-Cornell Medicine, Houston, TX, USA
| | - Deepak Kaushal
- Southwest National Primate Research Center, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Marie Claire Gauduin
- Southwest National Primate Research Center, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Chinnaswamy Jagannath
- Department of Pathology and Genomic Medicine, Houston Methodist Research Institute, Weill-Cornell Medicine, Houston, TX, USA.
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33
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Rouanne M, Adam J, Radulescu C, Letourneur D, Bredel D, Mouraud S, Goubet AG, Leduc M, Chen N, Tan TZ, Signolle N, Bigorgne AE, Dussiot M, Tselikas L, Susini S, Danlos FX, Schneider AK, Chabanon RM, Vacher S, Bièche I, Lebret T, Allory Y, Soria JC, Arpaia N, Kroemer G, Kepp O, Thiery JP, Zitvogel L, Marabelle A. BCG therapy downregulates HLA-I on malignant cells to subvert antitumor immune responses in bladder cancer. J Clin Invest 2022; 132:145666. [PMID: 35503263 PMCID: PMC9197524 DOI: 10.1172/jci145666] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Accepted: 04/26/2022] [Indexed: 11/17/2022] Open
Abstract
Patients with high-risk non muscle-invasive bladder cancer (NMIBC) frequently relapse after standard intravesical BCG therapy and may have a dismal outcome. Resistance mechanisms to such immunotherapy remain misunderstood. Here, using cancer cell lines, freshly resected human bladder tumors and cohorts of bladder cancer patients pre- and post-BCG therapy, we demonstrate two distinct patterns of immune subversion upon BCG relapse. In the first pattern, intracellular BCG infection of cancer cells induced a post-transcriptional downregulation of HLA-I membrane expression via an inhibition of the autophagy flux. Patients with HLA-I deficient cancer cells post-BCG therapy displayed a myeloid immunosuppressive tumor microenvironment with epithelial-to-mesenchymal transition (EMT) characteristics and dismal outcomes. Conversely, patients with HLA-I proficient cancer cells post-BCG therapy presented with CD8+ T cell tumor infiltrates, upregulation of inflammatory cytokines and inhibitory immune checkpoint molecules. Those patients had a very favorable outcome. We surmise that HLA-I expression in bladder cancers at relapse post-BCG does not result from immunoediting but rather from an immune subversion process directly induced by BCG on cancer cells, which predicts dismal prognosis. Cancer cells HLA-I scoring by immunohistochemistry (IHC) staining can be easily implemented by pathologists in routine practice in order to stratify future urothelial cancer patient treatment strategies.
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Affiliation(s)
| | - Julien Adam
- Inserm U1186, Gustave Roussy, Villejuif, France
| | | | | | | | | | | | - Marion Leduc
- Metabolomics and Cell Biology Platforms, Gustave Roussy, Villejuif, France
| | - Noah Chen
- Department of Microbiology and Immunology, Columbia University, New York City, United States Minor Outlying Islands
| | - Tuan Zea Tan
- Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | | | | | | | | | | | | | | | | | - Sophie Vacher
- Department of Genetics, Pharmacogenomics Unit, Institut Curie, Paris, France
| | - Ivan Bièche
- Department of Genetics, Pharmacogenomics Unit, Institut Curie, Paris, France
| | | | - Yves Allory
- Department of Pathology, Hospital Foch, Suresnes, France
| | | | - Nicholas Arpaia
- Department of Microbiology and Immunology, Columbia University, New York City, United States Minor Outlying Islands
| | - Guido Kroemer
- Metabolomics and Cell Biology Platforms, Gustave Roussy, Villejuif, France
| | - Oliver Kepp
- Metabolomics and Cell Biology Platforms, Gustave Roussy, Villejuif, France
| | | | | | - Aurélien Marabelle
- Department of Therapeutic Innovation and Early Trials, Gustave Roussy, Villejuif, France
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34
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Glenn SM, Turapov O, Makarov V, Kell DB, Mukamolova GV. Dimethyl fumarate eliminates differentially culturable Mycobacterium tuberculosis in an intranasal murine model of tuberculosis. Front Cell Infect Microbiol 2022; 12:957287. [PMID: 36093181 PMCID: PMC9449328 DOI: 10.3389/fcimb.2022.957287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 07/29/2022] [Indexed: 11/13/2022] Open
Abstract
Tuberculosis (TB) claims nearly 1.5 million lives annually. Current TB treatment requires a combination of several drugs administered for at least 6 months. Mycobacterium tuberculosis (Mtb), the causative agent of TB, can persist in infected humans and animals for decades. Moreover, during infection, Mtb produces differentially culturable bacteria (DCB) that do not grow in standard media but can be resuscitated in liquid media supplemented with sterile Mtb culture filtrates or recombinant resuscitation-promoting factors (Rpfs). Here, we demonstrate that, in an intranasal murine model of TB, Mtb DCB are detectable in the lungs after 4 weeks of infection, and their loads remain largely unchanged during a further 8 weeks. Treatment of the infected mice with dimethyl fumarate (DMF), a known drug with immunomodulatory properties, for 8 weeks eliminates Mtb DCB from the lungs and spleens. Standard TB treatment consisting of rifampicin, isoniazid, and pyrazinamide for 8 weeks reduces Mtb loads by nearly four orders of magnitude but does not eradicate DCB. Nevertheless, no DCB can be detected in the lungs and spleens after 8 weeks of treatment with DMF, rifampicin, isoniazid, and pyrazinamide. Our data suggest that addition of approved anti-inflammatory drugs to standard treatment regimens may improve TB treatment and reduce treatment duration.
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Affiliation(s)
- Sarah M Glenn
- Division of Biomedical Services, University of Leicester, Leicester, United Kingdom
| | - Obolbek Turapov
- Leicester Tuberculosis Research Group, Department of Respiratory Sciences, University of Leicester, Leicester, United Kingdom
| | - Vadim Makarov
- Research Center of Biotechnology, Russian Academy of Sciences, Moscow, Russia
| | - Douglas B Kell
- Department of Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, United Kingdom.,The Novo Nordisk Foundation Centre for Biosustainability, Technical University of Denmark, Lyngby, Denmark
| | - Galina V Mukamolova
- Leicester Tuberculosis Research Group, Department of Respiratory Sciences, University of Leicester, Leicester, United Kingdom
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35
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Abstract
The majority of humans infected with Mycobacterium tuberculosis never experience clinical symptoms or signs, but predicting those who will remains out of reach. Here, we discuss recent studies that reveal patterns and pathways that determine who is at highest risk for progression.
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Affiliation(s)
- Clifton E. Barry
- Tuberculosis Research Section, Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD
| | - Katrin D. Mayer-Barber
- Inflammation and Innate Immunity Unit, Laboratory of Clinical Immunology and Microbiology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD
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36
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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: 8] [Impact Index Per Article: 2.7] [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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37
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Zhang M, Lei YS, Meng XW, Liu HY, Li LG, Zhang J, Zhang JX, Tao WH, Peng K, Lin J, Ji FH. Iguratimod Alleviates Myocardial Ischemia/Reperfusion Injury Through Inhibiting Inflammatory Response Induced by Cardiac Fibroblast Pyroptosis via COX2/NLRP3 Signaling Pathway. Front Cell Dev Biol 2021; 9:746317. [PMID: 34760889 PMCID: PMC8573346 DOI: 10.3389/fcell.2021.746317] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 09/27/2021] [Indexed: 12/31/2022] Open
Abstract
Background: NLRP3 inflammasome contributes a lot to sterile inflammatory response and pyroptosis in ischemia/reperfusion (I/R) injury. Cardiac fibroblasts (CFs) are regarded as semi-professional inflammatory cells and they exert an immunomodulatory role in heart. Iguratimod provides a protective role in several human diseases through exerting a powerful anti-inflammatory effect. However, it is still unclear whether iguratimod could alleviate myocardial I/R injury and whether inflammation triggered by NLRP3-related pyroptosis of CFs is involved in this process. Methods: Transcriptomics analysis for GSE160516 dataset was conducted to explore the biological function of differentially expressed genes during myocardial I/R. In vivo, mice underwent ligation of left anterior descending coronary artery for 30 min followed by 24 h reperfusion. In vitro, primary CFs were subjected to hypoxia for 1 h followed by reoxygenation for 3 h (H/R). Iguratimod was used prior to I/R or H/R. Myocardial infarct area, serum level of cardiac troponin I (cTnI), pathology of myocardial tissue, cell viability, lactate dehydrogenase (LDH) release, and the expression levels of mRNA and protein for pyroptosis-related molecules were measured. Immunofluorescence was applied to determine the cellular localization of NLRP3 protein in cardiac tissue. Results: During myocardial I/R, inflammatory response was found to be the most significantly enriched biological process, and nucleotide-binding oligomerization domain (NOD)-like receptor signaling was a crucial pathway in mediating cardiac inflammation. In our experiments, pretreatment with iguratimod significantly ameliorated I/R-induced myocardial injury and H/R-induced pyroptosis of CFs, as evidenced by reduced myocardial infarct area, serum cTnI level, and LDH release in supernatants, as well as improved pathology of cardiac tissue and cell viability. Immunofluorescence analysis showed that NLRP3 was mainly localized in CFs. Moreover, iguratimod inhibited the expression of pro-inflammatory cytokines and pyroptosis-related molecules, including NLRP3, cleaved caspase-1, and GSDMD-N. Conclusion: Our results suggested that inflammatory response mediated by NOD-like receptor signaling is of vital importance in myocardial I/R injury. Iguratimod protected cardiomyocytes through reducing the cascade of inflammation in heart by inhibiting cardiac fibroblast pyroptosis via the COX2/NLRP3 signaling pathway.
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Affiliation(s)
- Mian Zhang
- Department of Anesthesiology, First Affiliated Hospital of Soochow University, Suzhou, China.,Institute of Anesthesiology, Soochow University, Suzhou, China
| | - Yi-Shan Lei
- Department of Anesthesiology, First Affiliated Hospital of Soochow University, Suzhou, China.,Institute of Anesthesiology, Soochow University, Suzhou, China
| | - Xiao-Wen Meng
- Department of Anesthesiology, First Affiliated Hospital of Soochow University, Suzhou, China.,Institute of Anesthesiology, Soochow University, Suzhou, China
| | - Hua-Yue Liu
- Department of Anesthesiology, First Affiliated Hospital of Soochow University, Suzhou, China.,Institute of Anesthesiology, Soochow University, Suzhou, China
| | - Lin-Gui Li
- Department of Anesthesiology, First Affiliated Hospital of Soochow University, Suzhou, China.,Institute of Anesthesiology, Soochow University, Suzhou, China
| | - Jun Zhang
- Department of Anesthesiology, First Affiliated Hospital of Soochow University, Suzhou, China.,Institute of Anesthesiology, Soochow University, Suzhou, China
| | - Jia-Xin Zhang
- Department of Anesthesiology, First Affiliated Hospital of Soochow University, Suzhou, China.,Institute of Anesthesiology, Soochow University, Suzhou, China
| | - Wen-Hui Tao
- Department of Anesthesiology, First Affiliated Hospital of Soochow University, Suzhou, China.,Institute of Anesthesiology, Soochow University, Suzhou, China
| | - Ke Peng
- Department of Anesthesiology, First Affiliated Hospital of Soochow University, Suzhou, China.,Institute of Anesthesiology, Soochow University, Suzhou, China
| | - Jun Lin
- Department of Orthopedics, First Affiliated Hospital of Soochow University, Suzhou, China
| | - Fu-Hai Ji
- Department of Anesthesiology, First Affiliated Hospital of Soochow University, Suzhou, China.,Institute of Anesthesiology, Soochow University, Suzhou, China
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Tabone O, Verma R, Singhania A, Chakravarty P, Branchett WJ, Graham CM, Lee J, Trang T, Reynier F, Leissner P, Kaiser K, Rodrigue M, Woltmann G, Haldar P, O'Garra A. Blood transcriptomics reveal the evolution and resolution of the immune response in tuberculosis. J Exp Med 2021; 218:212624. [PMID: 34491266 PMCID: PMC8493863 DOI: 10.1084/jem.20210915] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 07/08/2021] [Accepted: 08/05/2021] [Indexed: 12/02/2022] Open
Abstract
Blood transcriptomics have revealed major characteristics of the immune response in active TB, but the signature early after infection is unknown. In a unique clinically and temporally well-defined cohort of household contacts of active TB patients that progressed to TB, we define minimal changes in gene expression in incipient TB increasing in subclinical and clinical TB. While increasing with time, changes in gene expression were highest at 30 d before diagnosis, with heterogeneity in the response in household TB contacts and in a published cohort of TB progressors as they progressed to TB, at a bulk cohort level and in individual progressors. Blood signatures from patients before and during anti-TB treatment robustly monitored the treatment response distinguishing early and late responders. Blood transcriptomics thus reveal the evolution and resolution of the immune response in TB, which may help in clinical management of the disease.
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Affiliation(s)
- Olivier Tabone
- Laboratory of Immunoregulation and Infection, The Francis Crick Institute, London, UK
| | - Raman Verma
- Department of Respiratory Sciences, National Institute for Health Research Respiratory Biomedical Research Centre, University of Leicester, UK
| | - Akul Singhania
- Laboratory of Immunoregulation and Infection, The Francis Crick Institute, London, UK
| | | | - William J Branchett
- Laboratory of Immunoregulation and Infection, The Francis Crick Institute, London, UK
| | - Christine M Graham
- Laboratory of Immunoregulation and Infection, The Francis Crick Institute, London, UK
| | - Jo Lee
- Department of Respiratory Sciences, National Institute for Health Research Respiratory Biomedical Research Centre, University of Leicester, UK
| | - Tran Trang
- Bioaster Microbiology Technology Institute, Lyon, France
| | | | | | - Karine Kaiser
- Medical Diagnostic Discovery Department, bioMérieux SA, Marcy l'Etoile, France
| | - Marc Rodrigue
- Global Medical Affairs, bioMérieux SA, Marcy l'Etoile, France
| | - Gerrit Woltmann
- Department of Respiratory Sciences, National Institute for Health Research Respiratory Biomedical Research Centre, University of Leicester, UK
| | - Pranabashis Haldar
- Department of Respiratory Sciences, National Institute for Health Research Respiratory Biomedical Research Centre, University of Leicester, UK
| | - Anne O'Garra
- Laboratory of Immunoregulation and Infection, The Francis Crick Institute, London, UK.,National Heart and Lung Institute, Imperial College London, London, UK
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39
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Alvarez AH. Revisiting tuberculosis screening: An insight to complementary diagnosis and prospective molecular approaches for the recognition of the dormant TB infection in human and cattle hosts. Microbiol Res 2021; 252:126853. [PMID: 34536677 DOI: 10.1016/j.micres.2021.126853] [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: 06/22/2021] [Revised: 08/21/2021] [Accepted: 08/22/2021] [Indexed: 12/17/2022]
Abstract
Tuberculosis (TB) is defined as a chronic infection in both human and cattle hosts and many subclinical cases remain undetected. After the pathogen is inhaled by a host, phagocyted bacilli can persist inside macrophages surviving intracellularly. Hosts develop granulomatous lesions in the lungs or lymph nodes, limiting infection. However, bacilli become persister cells. Immunological diagnosis of TB is performed basically by routine tuberculin skin test (TST), and in some cases, by ancillary interferon-gamma release assay (IGRA). The concept of human latent TB infection (LTBI) by M. tuberculosis is recognized in cohorts without symptoms by routine clinical diagnostic tests, and nowadays IGRA tests are used to confirm LTBI with either active or latent specific antigens of M. tuberculosis. On the other hand, dormant infection in cattle by M. bovis has not been described by TST or IGRA testing as complications occur by cross-reactive immune responses to homolog antigens of environmental mycobacteria or a false-negative test by anergic states of a wained bovine immunity, evidencing the need for deciphering more specific biomarkers by new-generation platforms of analysis for detection of M. bovis dormant infection. The study and description of bovine latent TB infection (boLTBI) would permit the recognition of hidden animal infection with an increase in the sensitivity of routine tests for an accurate estimation of infected dairy cattle. Evidence of immunological and experimental analysis of LTBI should be taken into account to improve the study and the description of the still neglected boLTBI.
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Affiliation(s)
- Angel H Alvarez
- Centro de Investigación y Asistencia en Tecnología y diseño del Estado de Jalisco A.C. (CIATEJ), Consejo Nacional de Ciencia y Tecnología (CONACYT), Av. Normalistas 800 C.P. 44270, Guadalajara, Jalisco, Mexico.
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40
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Luo Y, Xue Y, Mao L, Lin Q, Tang G, Song H, Liu W, Tong S, Hou H, Huang M, Ouyang R, Wang F, Sun Z. Activation Phenotype of Mycobacterium tuberculosis-Specific CD4 + T Cells Promoting the Discrimination Between Active Tuberculosis and Latent Tuberculosis Infection. Front Immunol 2021; 12:721013. [PMID: 34512645 PMCID: PMC8426432 DOI: 10.3389/fimmu.2021.721013] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Accepted: 07/29/2021] [Indexed: 12/13/2022] Open
Abstract
Background Rapid and effective discrimination between active tuberculosis (ATB) and latent tuberculosis infection (LTBI) remains a challenge. There is an urgent need for developing practical and affordable approaches targeting this issue. Methods Participants with ATB and LTBI were recruited at Tongji Hospital (Qiaokou cohort) and Sino-French New City Hospital (Caidian cohort) based on positive T-SPOT results from June 2020 to January 2021. The expression of activation markers including HLA-DR, CD38, CD69, and CD25 was examined on Mycobacterium tuberculosis (MTB)-specific CD4+ T cells defined by IFN-γ, TNF-α, and IL-2 expression upon MTB antigen stimulation. Results A total of 90 (40 ATB and 50 LTBI) and another 64 (29 ATB and 35 LTBI) subjects were recruited from the Qiaokou cohort and Caidian cohort, respectively. The expression patterns of Th1 cytokines including IFN-γ, TNF-α, and IL-2 upon MTB antigen stimulation could not differentiate ATB patients from LTBI individuals well. However, both HLA-DR and CD38 on MTB-specific cells showed discriminatory value in distinguishing between ATB patients and LTBI individuals. As for developing a single candidate biomarker, HLA-DR had the advantage over CD38. Moreover, HLA-DR on TNF-α+ or IL-2+ cells had superiority over that on IFN-γ+ cells in differentiating ATB patients from LTBI individuals. Besides, HLA-DR on MTB-specific cells defined by multiple cytokine co-expression had a higher ability to discriminate patients with ATB from LTBI individuals than that of MTB-specific cells defined by one kind of cytokine expression. Specially, HLA-DR on TNF-α+IL-2+ cells produced an AUC of 0.901 (95% CI, 0.833–0.969), with a sensitivity of 93.75% (95% CI, 79.85–98.27%) and specificity of 72.97% (95% CI, 57.02–84.60%) as a threshold of 44% was used. Furthermore, the performance of HLA-DR on TNF-α+IL-2+ cells for differential diagnosis was obtained with validation cohort data: 90.91% (95% CI, 72.19–97.47%) sensitivity and 68.97% (95% CI, 50.77–82.73%) specificity. Conclusions We demonstrated that HLA-DR on MTB-specific cells was a potentially useful biomarker for accurate discrimination between ATB and LTBI.
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Affiliation(s)
- Ying Luo
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ying Xue
- Department of Immunology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liyan Mao
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qun Lin
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guoxing Tang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huijuan Song
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Liu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shutao Tong
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongyan Hou
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Min Huang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Renren Ouyang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Feng Wang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ziyong Sun
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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41
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Ruan QL, Yang QL, Gao YX, Wu J, Lin SR, Zhou JY, Shao LY, Wang S, Liu QQ, Gao Y, Jiang N, Zhang WH. Transcriptional signatures of human peripheral blood mononuclear cells can identify the risk of tuberculosis progression from latent infection among individuals with silicosis. Emerg Microbes Infect 2021; 10:1536-1544. [PMID: 34042560 PMCID: PMC8354161 DOI: 10.1080/22221751.2021.1915184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Host immune factor plays an important role in the progression of latent tuberculosis infection (LTBI) to active tuberculosis (TB) disease. However, whether global gene expression measured in blood biomarkers allows the identification of prospective signatures for TB risk remains unknown. Hence, we aimed to assess the ability of the transcriptome signatures in the human peripheral blood mononuclear cells (PBMCs) of LTBI subjects to differentiate future TB progressors from non-progressors. In a randomized clinical trial of TB preventive treatment of 513 participants with silicosis, we randomly collected PBMC samples from 50 LTBI subjects in the observational group, which was monitored for TB disease progression for 37 months. The prospective signatures of TB risk between the two participants who developed active TB (progressors) and four matched individuals who remained healthy (non-progressors) were compared using differential expression analysis, Gene Ontology analysis, Kyoto Encyclopedia of Genes and Genomes pathway analysis, and Weighted Gene Co-expression Network Analysis. The 20 TB-specific differentially expressed genes, which were significantly downregulated in TB progressors, were revealed to be associated with interferon-gamma response-related genes. Therefore, the PBMC transcriptome profiles analyzed in this study may help identify LTBI individuals who are at risk of progressing to active TB among silicosis patients and may provide new insights for targeted intervention to prevent disease progression.
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Affiliation(s)
- Qiao-Ling Ruan
- Department of Infectious Diseases, Huashan Hospital, School of Life Science, Fudan University, Shanghai, People's Republic of China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, People's Republic of China
| | - Qing-Luan Yang
- Department of Infectious Diseases, Huashan Hospital, School of Life Science, Fudan University, Shanghai, People's Republic of China
| | - Yi-Xin Gao
- Department of Infectious Diseases, Huashan Hospital, School of Life Science, Fudan University, Shanghai, People's Republic of China
| | - Jing Wu
- Department of Infectious Diseases, Huashan Hospital, School of Life Science, Fudan University, Shanghai, People's Republic of China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, People's Republic of China
| | - Si-Ran Lin
- Department of Infectious Diseases, Huashan Hospital, School of Life Science, Fudan University, Shanghai, People's Republic of China
| | - Jing-Yu Zhou
- Department of Infectious Diseases, Huashan Hospital, School of Life Science, Fudan University, Shanghai, People's Republic of China
| | - Ling-Yun Shao
- Department of Infectious Diseases, Huashan Hospital, School of Life Science, Fudan University, Shanghai, People's Republic of China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, People's Republic of China
| | - Sen Wang
- Department of Infectious Diseases, Huashan Hospital, School of Life Science, Fudan University, Shanghai, People's Republic of China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, People's Republic of China
| | - Qian-Qian Liu
- Department of Infectious Diseases, Huashan Hospital, School of Life Science, Fudan University, Shanghai, People's Republic of China
| | - Yan Gao
- Department of Infectious Diseases, Huashan Hospital, School of Life Science, Fudan University, Shanghai, People's Republic of China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, People's Republic of China
| | - Ning Jiang
- Department of Infectious Diseases, Huashan Hospital, School of Life Science, Fudan University, Shanghai, People's Republic of China
| | - Wen-Hong Zhang
- Department of Infectious Diseases, Huashan Hospital, School of Life Science, Fudan University, Shanghai, People's Republic of China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.,Key Laboratory of Medical Molecular Virology (MOE/MOH) and Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
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42
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Phelan JJ, O'Leary S, Keane J. Tuberculosis lymph node granulomas: using transcriptomics to discover immunopathology paradigms and guide host-directed therapy. J Clin Invest 2021; 131:e151810. [PMID: 34338227 DOI: 10.1172/jci151810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Immunometabolism is a burgeoning field of investigation in tuberculosis host defense, susceptibility, and pathophysiology. Unbiased approaches to studying tuberculosis have, as expected, confirmed that pathways of immunometabolism are crucial in these disease processes. In this issue of the JCI, Reichmann et al. studied carefully controlled human lymph node tuberculosis and uncovered Sphingosine kinase 1 as a druggable target of interest that could support the infected host. Future host-directed therapy research might seek to establish the different cellular consequences of sphingolipid pathway manipulation. Animal models will be especially useful to establish the role of this pathway, which might target diseased organs to improve mycobactericidal effect and limit pathology.
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43
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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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44
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Luo Y, Xue Y, Tang G, Cai Y, Yuan X, Lin Q, Song H, Liu W, Mao L, Zhou Y, Chen Z, Zhu Y, Liu W, Wu S, Wang F, Sun Z. Lymphocyte-Related Immunological Indicators for Stratifying Mycobacterium tuberculosis Infection. Front Immunol 2021; 12:658843. [PMID: 34276653 PMCID: PMC8278865 DOI: 10.3389/fimmu.2021.658843] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 06/10/2021] [Indexed: 12/16/2022] Open
Abstract
Background Easily accessible tools that reliably stratify Mycobacterium tuberculosis (MTB) infection are needed to facilitate the improvement of clinical management. The current study attempts to reveal lymphocyte-related immune characteristics of active tuberculosis (ATB) patients and establish immunodiagnostic model for discriminating ATB from latent tuberculosis infection (LTBI) and healthy controls (HC). Methods A total of 171 subjects consisted of 54 ATB, 57 LTBI, and 60 HC were consecutively recruited at Tongji hospital from January 2019 to January 2021. All participants were tested for lymphocyte subsets, phenotype, and function. Other examination including T-SPOT and microbiological detection for MTB were performed simultaneously. Results Compared with LTBI and HC, ATB patients exhibited significantly lower number and function of lymphocytes including CD4+ T cells, CD8+ T cells and NK cells, and significantly higher T cell activation represented by HLA-DR and proportion of immunosuppressive cells represented by Treg. An immunodiagnostic model based on the combination of NK cell number, HLA-DR+CD3+ T cells, Treg, CD4+ T cell function, and NK cell function was built using logistic regression. Based on receiver operating characteristic curve analysis, the area under the curve (AUC) of the diagnostic model was 0.920 (95% CI, 0.867-0.973) in distinguishing ATB from LTBI, while the cut-off value of 0.676 produced a sensitivity of 81.48% (95% CI, 69.16%-89.62%) and specificity of 91.23% (95% CI, 81.06%-96.20%). Meanwhile, AUC analysis between ATB and HC according to the diagnostic model was 0.911 (95% CI, 0.855-0.967), with a sensitivity of 81.48% (95% CI, 69.16%-89.62%) and a specificity of 90.00% (95% CI, 79.85%-95.34%). Conclusions Our study demonstrated that the immunodiagnostic model established by the combination of lymphocyte-related indicators could facilitate the status differentiation of MTB infection.
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Affiliation(s)
- Ying Luo
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ying Xue
- Department of Immunology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guoxing Tang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yimin Cai
- Department of Epidemiology and Biostatistics, Key Laboratory of Environmental Health of Ministry of Education, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xu Yuan
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qun Lin
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huijuan Song
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Liu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liyan Mao
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yu Zhou
- Department of Laboratory Medicine, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, China
| | - Zhongju Chen
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yaowu Zhu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Weiyong Liu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shiji Wu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Feng Wang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ziyong Sun
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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45
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Luo Y, Tang G, Yuan X, Lin Q, Mao L, Song H, Xue Y, Wu S, Ouyang R, Hou H, Wang F, Sun Z. Combination of Blood Routine Examination and T-SPOT.TB Assay for Distinguishing Between Active Tuberculosis and Latent Tuberculosis Infection. Front Cell Infect Microbiol 2021; 11:575650. [PMID: 34277462 PMCID: PMC8279757 DOI: 10.3389/fcimb.2021.575650] [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: 07/29/2020] [Accepted: 06/07/2021] [Indexed: 12/22/2022] Open
Abstract
Background Distinguishing between active tuberculosis (ATB) and latent tuberculosis infection (LTBI) remains challenging. Methods Between 2013 and 2019, 2,059 (1,097 ATB and 962 LTBI) and another 883 (372 ATB and 511 LTBI) participants were recruited based on positive T-SPOT.TB (T-SPOT) results from Qiaokou (training) and Caidian (validation) cohorts, respectively. Blood routine examination (BRE) was performed simultaneously. Diagnostic model was established according to multivariate logistic regression. Results Significant differences were observed in all indicators of BRE and T-SPOT assay between ATB and LTBI. Diagnostic model built on BRE showed area under the curve (AUC) of 0.846 and 0.850 for discriminating ATB from LTBI in the training and validation cohorts, respectively. Meanwhile, TB-specific antigens spot-forming cells (SFC) (the larger of early secreted antigenic target 6 and culture filtrate protein 10 SFC in T-SPOT assay) produced lower AUC of 0.775 and 0.800 in the training and validation cohorts, respectively. The diagnostic model based on combination of BRE and T-SPOT showed an AUC of 0.909 for differentiating ATB from LTBI, with 78.03% sensitivity and 90.23% specificity when a cutoff value of 0.587 was used in the training cohort. Application of the model to the validation cohort showed similar performance. The AUC, sensitivity, and specificity were 0.910, 78.23%, and 90.02%, respectively. Furthermore, we also assessed the performance of our model in differentiating ATB from LTBI with lung lesions. Receiver operating characteristic analysis showed that the AUC of established model was 0.885, while a threshold of 0.587 yield a sensitivity of 78.03% and a specificity of 85.69%, respectively. Conclusions The diagnostic model based on combination of BRE and T-SPOT could provide a reliable differentiation between ATB and LTBI.
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Affiliation(s)
- Ying Luo
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Guoxing Tang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xu Yuan
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qun Lin
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liyan Mao
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huijuan Song
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ying Xue
- Department of Immunology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Department of Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, China
| | - Shiji Wu
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Renren Ouyang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongyan Hou
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Feng Wang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ziyong Sun
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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46
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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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47
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Kulkarni V, Queiroz ATL, Sangle S, Kagal A, Salvi S, Gupta A, Ellner J, Kadam D, Rolla VC, Andrade BB, Salgame P, Mave V. A Two-Gene Signature for Tuberculosis Diagnosis in Persons With Advanced HIV. Front Immunol 2021; 12:631165. [PMID: 33692804 PMCID: PMC7937880 DOI: 10.3389/fimmu.2021.631165] [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: 11/19/2020] [Accepted: 02/03/2021] [Indexed: 11/23/2022] Open
Abstract
Background: Transcriptomic signatures for tuberculosis (TB) have been proposed and represent a promising diagnostic tool. Data remain limited in persons with advanced HIV. Methods: We enrolled 30 patients with advanced HIV (CD4 <100 cells/mm3) in India; 16 with active TB and 14 without. Whole-blood RNA sequencing was performed; these data were merged with a publicly available dataset from Uganda (n = 33; 18 with TB and 15 without). Transcriptomic profiling and machine learning algorithms identified an optimal gene signature for TB classification. Receiver operating characteristic analysis was used to assess performance. Results: Among 565 differentially expressed genes identified for TB, 40 were shared across India and Uganda cohorts. Common upregulated pathways reflect Toll-like receptor cascades and neutrophil degranulation. The machine-learning decision-tree algorithm selected gene expression values from RAB20 and INSL3 as most informative for TB classification. The signature accurately classified TB in discovery cohorts (India AUC 0.95 and Uganda AUC 1.0; p < 0.001); accuracy was fair in external validation cohorts. Conclusions: Expression values of RAB20 and INSL3 genes in peripheral blood compose a biosignature that accurately classified TB status among patients with advanced HIV in two geographically distinct cohorts. The functional analysis suggests pathways previously reported in TB pathogenesis.
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Affiliation(s)
- Vandana Kulkarni
- Byramjee-Jeejeebhoy Government Medical College-Johns Hopkins University Clinical Research Site (BJGMC-JHU CRS), Pune, India
| | - Artur T L Queiroz
- Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil.,Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil
| | - Shashi Sangle
- Byramjee-Jeejeebhoy Government Medical College-Johns Hopkins University Clinical Research Site (BJGMC-JHU CRS), Pune, India
| | - Anju Kagal
- Byramjee-Jeejeebhoy Government Medical College-Johns Hopkins University Clinical Research Site (BJGMC-JHU CRS), Pune, India
| | - Sonali Salvi
- Byramjee-Jeejeebhoy Government Medical College-Johns Hopkins University Clinical Research Site (BJGMC-JHU CRS), Pune, India
| | - Amita Gupta
- Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Jerrold Ellner
- Rutgers- New Jersey Medical School, Center for Emerging Pathogens, Newark, NJ, United States
| | - Dileep Kadam
- Byramjee-Jeejeebhoy Government Medical College-Johns Hopkins University Clinical Research Site (BJGMC-JHU CRS), Pune, India
| | - Valeria C Rolla
- Instituto Nacional de Infectologia Evandro Chagas, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
| | - Bruno B Andrade
- Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil.,Multinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Salvador, Brazil
| | - Padmini Salgame
- Rutgers- New Jersey Medical School, Center for Emerging Pathogens, Newark, NJ, United States
| | - Vidya Mave
- Byramjee-Jeejeebhoy Government Medical College-Johns Hopkins University Clinical Research Site (BJGMC-JHU CRS), Pune, India.,Johns Hopkins University School of Medicine, Baltimore, MD, United States
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48
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Sivakumaran D, Ritz C, Gjøen JE, Vaz M, Selvam S, Ottenhoff THM, Doherty TM, Jenum S, Grewal HMS. Host Blood RNA Transcript and Protein Signatures for Sputum-Independent Diagnostics of Tuberculosis in Adults. Front Immunol 2021; 11:626049. [PMID: 33613569 PMCID: PMC7891042 DOI: 10.3389/fimmu.2020.626049] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Accepted: 12/21/2020] [Indexed: 12/21/2022] Open
Abstract
To achieve the ambitious targets for tuberculosis (TB) prevention, care, and control stated by the End TB Strategy, new health care strategies, diagnostic tools are warranted. Host-derived biosignatures are explored for their TB diagnostic potential in accordance with the WHO target product profiles (TPPs) for point-of-care (POC) testing. We aimed to identify sputum-independent TB diagnostic signatures in newly diagnosed adult pulmonary-TB (PTB) patients recruited in the context of a prospective household contact cohort study conducted in Andhra Pradesh, India. Whole-blood mRNA samples from 158 subjects (PTB, n = 109; age-matched household controls, n = 49) were examined by dual-color Reverse-Transcriptase Multiplex Ligation-dependent Probe-Amplification (dcRT-MLPA) for the expression of 198 pre-defined genes and a Mesoscale discovery assay for the concentration of 18 cytokines/chemokines in TB-antigen stimulated QuantiFERON supernatants. To identify signatures, we applied a two-step approach; in the first step, univariate filtering was used to identify and shortlist potentially predictive biomarkers; this step may be seen as removing redundant biomarkers. In the second step, a logistic regression approach was used such that group membership (PTB vs. household controls) became the binary response in a Lasso regression model. We identified an 11-gene signature that distinguished PTB from household controls with AUCs of ≥0.98 (95% CIs: 0.94–1.00), and a 4-protein signature (IFNγ, GMCSF, IL7 and IL15) that differentiated PTB from household controls with AUCs of ≥0.87 (95% CIs: 0.75–1.00), in our discovery cohort. Subsequently, we evaluated the performance of the 11-gene signature in two external validation data sets viz, an independent cohort at the Glenfield Hospital, University Hospitals of Leicester NHS Trust, Leicester, UK (GSE107994 data set), and the Catalysis treatment response cohort (GSE89403 data set) from South Africa. The 11-gene signature validated and distinguished PTB from healthy and asymptomatic M. tuberculosis infected household controls in the GSE107994 data set, with an AUC of 0.95 (95% CI: 0.91–0.98) and 0.94 (95% CI: 0.89–0.98). More interestingly in the GSE89403 data set, the 11-gene signature distinguished PTB from household controls and patients with other lung diseases with an AUC of 0.93 (95% CI: 0.87–0.99) and 0.73 (95% CI: 0.56–0.89). These criteria meet the WHO TTP benchmarks for a non–sputum-based triage test for TB diagnosis. We suggest that further validation is required before clinical implementation of the 11-gene signature we have identified markers will be possible.
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Affiliation(s)
- Dhanasekaran Sivakumaran
- Department of Clinical Science, Faculty of Medicine, University of Bergen, Bergen, Norway.,Department of Microbiology, Haukeland University Hospital, University of Bergen, Bergen, Norway
| | - Christian Ritz
- Department of Clinical Science, Faculty of Medicine, University of Bergen, Bergen, Norway.,Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - John Espen Gjøen
- Department of Paediatrics, Haukeland University Hospital, Bergen, Norway
| | - Mario Vaz
- Department of Physiology, St. John's Medical College and Division of Health and Humanities, St. John's Research Institute, Bangalore, India
| | - Sumithra Selvam
- Division of Infectious Diseases, St. John's Research Institute, Bangalore, India
| | - Tom H M Ottenhoff
- Department of Infectious Diseases, Leiden University Medical Center, Leiden, Netherlands
| | | | - Synne Jenum
- Department of Infectious Diseases, Oslo University Hospital, Oslo, Norway
| | - Harleen M S Grewal
- Department of Clinical Science, Faculty of Medicine, University of Bergen, Bergen, Norway.,Department of Microbiology, Haukeland University Hospital, University of Bergen, Bergen, Norway
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Allué-Guardia A, García JI, Torrelles JB. Evolution of Drug-Resistant Mycobacterium tuberculosis Strains and Their Adaptation to the Human Lung Environment. Front Microbiol 2021; 12:612675. [PMID: 33613483 PMCID: PMC7889510 DOI: 10.3389/fmicb.2021.612675] [Citation(s) in RCA: 88] [Impact Index Per Article: 29.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 01/15/2021] [Indexed: 12/12/2022] Open
Abstract
In the last two decades, multi (MDR), extensively (XDR), extremely (XXDR) and total (TDR) drug-resistant Mycobacterium tuberculosis (M.tb) strains have emerged as a threat to public health worldwide, stressing the need to develop new tuberculosis (TB) prevention and treatment strategies. It is estimated that in the next 35 years, drug-resistant TB will kill around 75 million people and cost the global economy $16.7 trillion. Indeed, the COVID-19 pandemic alone may contribute with the development of 6.3 million new TB cases due to lack of resources and enforced confinement in TB endemic areas. Evolution of drug-resistant M.tb depends on numerous factors, such as bacterial fitness, strain's genetic background and its capacity to adapt to the surrounding environment, as well as host-specific and environmental factors. Whole-genome transcriptomics and genome-wide association studies in recent years have shed some insights into the complexity of M.tb drug resistance and have provided a better understanding of its underlying molecular mechanisms. In this review, we will discuss M.tb phenotypic and genotypic changes driving resistance, including changes in cell envelope components, as well as recently described intrinsic and extrinsic factors promoting resistance emergence and transmission. We will further explore how drug-resistant M.tb adapts differently than drug-susceptible strains to the lung environment at the cellular level, modulating M.tb-host interactions and disease outcome, and novel next generation sequencing (NGS) strategies to study drug-resistant TB.
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Affiliation(s)
- Anna Allué-Guardia
- Population Health Program, Tuberculosis Group, Texas Biomedical Research Institute, San Antonio, TX, United States
| | | | - Jordi B. Torrelles
- Population Health Program, Tuberculosis Group, Texas Biomedical Research Institute, San Antonio, TX, United States
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50
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Rao J, Su R, Peng Y, Guo Y, Huang Z, Ye Y, Gao Y, Liu J, Zhang L, Luo Q, Li J. Low-Density Granulocytes Affect T-SPOT.TB Assay by Inhibiting the Production of Interferon-γ in T Cells via PD-L1/PD-1 Pathway. Front Microbiol 2021; 11:622389. [PMID: 33584591 PMCID: PMC7876290 DOI: 10.3389/fmicb.2020.622389] [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: 10/28/2020] [Accepted: 12/21/2020] [Indexed: 01/10/2023] Open
Abstract
Background T-SPOT TB (T-SPOT) assay is widely used for detection of Mycobacterium tuberculosis infection that is based on the detection of M. tuberculosis-specific interferon-γ-secreting T cells (ISCs) in peripheral blood mononuclear cells (PBMCs). Recently, high frequencies of low-density granulocytes (LDGs) were found in the PBMCs of tuberculosis patients. Whether these LDGs affect the detection of T-SPOT has not been investigated. The impact of LDGs on T-SPOT assay and related mechanism were investigated in this study. Methods The correlations between the frequencies of LDGs and the results of T-SPOT were analyzed. T-SPOT with LDG-removed PBMCs and PBMCs with exogenous addition of LDGs were performed. The possible mechanism was explored by detecting the levels of negative immune regulatory molecules on LDGs. The impact of programmed death ligand 1 (PD-L1) on T-SPOT was evaluated and confirmed by function blocking with neutralizing antibody. Results The positive rates of T-SPOT and ISCs in tuberculosis patients with low LDGs frequency (n = 22) were significantly higher than those with high LDGs frequency (n = 39). Removal or exogenous addition of LDGs significantly increased or decreased the ISCs and the positive rate of T-SPOT. The frequencies of interferon-γ-producing T cells were negatively correlated with the frequencies of LDGs. The expression of PD-L1 was significantly elevated on LDGs. Pretreatment of LDGs with anti-PD-L1 antibody significantly counteracted the impact of LDGs on T-SPOT. Treatment of PBMCs with anti-PD-L1 antibody resulted in comparable ISCs with that of LDG removal. Conclusion LDGs can inhibit the production of interferon-γ in T cells and decrease the positive rated of T-SPOT assay via highly expressed PD-L1.
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Affiliation(s)
- Jiayue Rao
- Department of Clinical Laboratory, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Rigu Su
- Department of Clinical Laboratory, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yiping Peng
- Department of Tuberculosis, Jiangxi Chest Hospital, Nanchang, China
| | - Yang Guo
- Department of Clinical Laboratory, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Zikun Huang
- Department of Clinical Laboratory, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yutao Ye
- Department of Clinical Laboratory, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yujie Gao
- Department of Clinical Laboratory, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jun Liu
- Department of Clinical Laboratory, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Lu Zhang
- Department of Clinical Laboratory, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Qing Luo
- Department of Clinical Laboratory, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Junming Li
- Department of Clinical Laboratory, The First Affiliated Hospital of Nanchang University, Nanchang, China
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