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Anh NK, Phat NK, Thu NQ, Tien NTN, Eunsu C, Kim HS, Nguyen DN, Kim DH, Long NP, Oh JY. Discovery of urinary biosignatures for tuberculosis and nontuberculous mycobacteria classification using metabolomics and machine learning. Sci Rep 2024; 14:15312. [PMID: 38961191 PMCID: PMC11222504 DOI: 10.1038/s41598-024-66113-x] [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: 04/16/2024] [Accepted: 06/27/2024] [Indexed: 07/05/2024] Open
Abstract
Nontuberculous mycobacteria (NTM) infection diagnosis remains a challenge due to its overlapping clinical symptoms with tuberculosis (TB), leading to inappropriate treatment. Herein, we employed noninvasive metabolic phenotyping coupled with comprehensive statistical modeling to discover potential biomarkers for the differential diagnosis of NTM infection versus TB. Urine samples from 19 NTM and 35 TB patients were collected, and untargeted metabolomics was performed using rapid liquid chromatography-mass spectrometry. The urine metabolome was analyzed using a combination of univariate and multivariate statistical approaches, incorporating machine learning. Univariate analysis revealed significant alterations in amino acids, especially tryptophan metabolism, in NTM infection compared to TB. Specifically, NTM infection was associated with upregulated levels of methionine but downregulated levels of glutarate, valine, 3-hydroxyanthranilate, and tryptophan. Five machine learning models were used to classify NTM and TB. Notably, the random forest model demonstrated excellent performance [area under the receiver operating characteristic (ROC) curve greater than 0.8] in distinguishing NTM from TB. Six potential biomarkers for NTM infection diagnosis, including methionine, valine, glutarate, 3-hydroxyanthranilate, corticosterone, and indole-3-carboxyaldehyde, were revealed from univariate ROC analysis and machine learning models. Altogether, our study suggested new noninvasive biomarkers and laid a foundation for applying machine learning to NTM differential diagnosis.
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Affiliation(s)
- Nguyen Ky Anh
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, 47392, Republic of Korea
- Faculty of Pharmacy, Ton Duc Thang University, Ho Chi Minh City, Vietnam
| | - Nguyen Ky Phat
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, 47392, Republic of Korea
| | - Nguyen Quang Thu
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, 47392, Republic of Korea
| | - Nguyen Tran Nam Tien
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, 47392, Republic of Korea
| | - Cho Eunsu
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, 47392, Republic of Korea
| | - Ho-Sook Kim
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, 47392, Republic of Korea
| | - Duc Ninh Nguyen
- Section for Comparative Pediatrics and Nutrition, Department of Veterinary and Animal Sciences, University of Copenhagen, 1870, Frederiksberg, Denmark
| | - Dong Hyun Kim
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, 47392, Republic of Korea
| | - Nguyen Phuoc Long
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, 47392, Republic of Korea.
| | - Jee Youn Oh
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Seoul, 08308, Republic of Korea.
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Zhang P, Zheng J, Han T, Ma J, Gnanashanmugam D, Li M, Tang YW, Deng G. A blood-based 3-gene signature score for therapeutic monitoring in patients with pulmonary tuberculosis. Tuberculosis (Edinb) 2024; 147:102521. [PMID: 38801793 DOI: 10.1016/j.tube.2024.102521] [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: 03/17/2024] [Revised: 05/12/2024] [Accepted: 05/20/2024] [Indexed: 05/29/2024]
Abstract
OBJECTIVE To assess the validity of Xpert Tuberculosis Fingerstick score for monitoring treatment response and analyze factors influencing its performance. METHODS 122 adults with pulmonary tuberculosis were recruited and stratified into three cohorts: Diabetic-drug-susceptible-TB (DM-TB), Non-diabetic-drug-susceptible-TB (NDM-TB) and Non-diabetic Multidrug-resistant TB (MDR-TB). Fingerstick blood specimens were tested at treatment initiation (M0) and the end of the first (M1), second (M2), and sixth month (M6) to generate a TB-score. RESULTS The TB-score in all participants yielded an AUC of 0.707 (95% CI: 0.579-0.834) at M2 when its performance was evaluated against sputum culture conversion. In all non-diabetes patients, the AUC reached 0.88 (95% CI: 0.756-1.000) with an optimal cut-off value of 1.95 at which sensitivity was 90.0% (95% CI: 59.6-98.2%) and specificity was 81.3% (95% CI: 70.0-88.9%). The mean TB score was higher in patients with low bacterial loads (n = 31) than those with high bacterial loads (n = 91) at M0, M1, M2, and M6, and was higher in non-cavitary patients (n = 71) than those with cavitary lesions (n = 51) at M0, M1, and M2. CONCLUSION Xpert TB-score shows promising predictive value for culture conversion in non-diabetic TB patients. Sputum bacterial load and lung cavitation status have an influence on the value of TB score.
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Affiliation(s)
- Peize Zhang
- Department of Pulmonary Medicine and Tuberculosis, The Third People's Hospital of Shenzhen, China.
| | - Junfeng Zheng
- Department of Pulmonary Medicine and Tuberculosis, The Third People's Hospital of Shenzhen, China.
| | - Tingting Han
- Guangdong Medical University, The First Clinical Medical College, Zhanjiang, Guangdong, China.
| | - Jian Ma
- Medical Affairs, Danaher Corporation/Cepheid (China), Shanghai, China.
| | | | - Mengran Li
- Department of Biostatistics & Data Management, Beckman Coulter, Shanghai, China.
| | - Yi-Wei Tang
- Medical Affairs, Danaher Corporation/Cepheid (China), Shanghai, China.
| | - Guofang Deng
- Department of Pulmonary Medicine and Tuberculosis, The Third People's Hospital of Shenzhen, China.
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Mahmoudi S, García MJ, Drain PK. Current approaches for diagnosis of subclinical pulmonary tuberculosis, clinical implications and future perspectives: a scoping review. Expert Rev Clin Immunol 2024; 20:715-726. [PMID: 38879875 DOI: 10.1080/1744666x.2024.2326032] [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: 11/12/2023] [Accepted: 02/28/2024] [Indexed: 06/18/2024]
Abstract
INTRODUCTION Subclinical tuberculosis (TB) is the presence of TB disease among people who are either asymptomatic or have minimal symptoms. AREAS COVERED Currently, there are no accurate diagnostic tools and clear treatment approaches for subclinical TB. In this study, a comprehensive literature search was conducted across major databases. This review aimed to uncover the latest advancements in diagnostic approaches, explore their clinical implications, and outline potential future perspectives. While innovative technologies are in development to enable sputum-free TB tests, there remains a critical need for precise diagnostic tools tailored to the unique characteristics of subclinical TB. Given the complexity of subclinical TB, a multidisciplinary approach involving clinicians, microbiologists, epidemiologists, and public health experts is essential. Further research is needed to establish standardized diagnostic criteria and treatment guidelines specifically tailored for subclinical TB, acknowledging the unique challenges posed by this elusive stage of the disease. EXPERT OPINION Efforts are needed for the detection, diagnosis, and treatment of subclinical TB. In this review, we describe the importance of subclinical TB, both from a clinical and public health perspective and highlight the diagnostic and treatment gaps of this stage.
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Affiliation(s)
- Shima Mahmoudi
- Biotechnology Centre, Silesian University of Technology, Gliwice, Poland
| | - Maria J García
- Department of Preventive Medicine and Public Health and Microbiology, Autonoma University of Madrid, Madrid, Spain
| | - Paul K Drain
- International Clinical Research Center, Department of Global Health, Schools of Medicine and Public Health, University of Washington, Seattle, WA, USA
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
- Division of Allergy and Infectious Diseases, Department of Medicine, School of Medicine, University of Washington, Seattle, WA, USA
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4
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Davies LRL, Wang C, Steigler P, Bowman KA, Fischinger S, Hatherill M, Fisher M, Mbandi SK, Rodo M, Ottenhoff THM, Dockrell HM, Sutherland JS, Mayanja-Kizza H, Boom WH, Walzl G, Kaufmann SHE, Nemes E, Scriba TJ, Lauffenburger D, Alter G, Fortune SM. Age and sex influence antibody profiles associated with tuberculosis progression. Nat Microbiol 2024; 9:1513-1525. [PMID: 38658786 PMCID: PMC11153143 DOI: 10.1038/s41564-024-01678-x] [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: 10/12/2023] [Accepted: 03/20/2024] [Indexed: 04/26/2024]
Abstract
Antibody features vary with tuberculosis (TB) disease state. Whether clinical variables, such as age or sex, influence associations between Mycobacterium tuberculosis-specific antibody responses and disease state is not well explored. Here we profiled Mycobacterium tuberculosis-specific antibody responses in 140 TB-exposed South African individuals from the Adolescent Cohort Study. We identified distinct response features in individuals progressing to active TB from non-progressing, matched controls. A multivariate antibody score differentially associated with progression (SeroScore) identified progressors up to 2 years before TB diagnosis, earlier than that achieved with the RISK6 transcriptional signature of progression. We validated these antibody response features in the Grand Challenges 6-74 cohort. Both the SeroScore and RISK6 correlated better with risk of TB progression in adolescents compared with adults, and in males compared with females. This suggests that age and sex are important, underappreciated modifiers of antibody responses associated with TB progression.
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Affiliation(s)
- Leela R L Davies
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA
- Brigham and Women's Hospital, Boston, MA, USA
| | - Chuangqi Wang
- Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Pia Steigler
- South African Tuberculosis Vaccine Initiative and Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
- Wellcome Centre for Infectious Diseases Research in Africa, Institute of Infectious Disease and Molecular Medicine and Division of Immunology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Kathryn A Bowman
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA
- Brigham and Women's Hospital, Boston, MA, USA
| | | | - Mark Hatherill
- South African Tuberculosis Vaccine Initiative and Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Michelle Fisher
- South African Tuberculosis Vaccine Initiative and Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Stanley Kimbung Mbandi
- South African Tuberculosis Vaccine Initiative and Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Miguel Rodo
- South African Tuberculosis Vaccine Initiative and Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Tom H M Ottenhoff
- Department of Infectious Diseases, Leiden University Medical Center, Leiden, the Netherlands
| | - Hazel M Dockrell
- Vaccines and Immunity Theme, Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - Jayne S Sutherland
- Vaccines and Immunity Theme, Medical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - Harriet Mayanja-Kizza
- Department of Medicine and Department of Microbiology, Makerere University, Kampala, Uganda
| | - W Henry Boom
- Tuberculosis Research Unit, Case Western Reserve University, Cleveland, OH, USA
| | - Gerhard Walzl
- Department of Science and Technology National Research Foundation 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
| | - Stefan H E Kaufmann
- Max Planck Institute for Infection Biology, Berlin, Germany
- Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
- Hagler Institute for Advanced Study, Texas A&M University, College Station, TX, USA
| | - Elisa Nemes
- South African Tuberculosis Vaccine Initiative and Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Thomas J Scriba
- South African Tuberculosis Vaccine Initiative and Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | | | - Galit Alter
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA.
- Moderna Therapeutics, Cambridge, MA, USA.
| | - Sarah M Fortune
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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Espinosa-Pereiro J, Alagna R, Saluzzo F, González-Moreno J, Heinrich N, Sánchez-Montalvá A, Cirillo DM. A Systematic Review of Potential Biomarkers for Bacterial Burden and Treatment Efficacy Assessment in Tuberculosis Platform-Based Clinical Trials. J Infect Dis 2024; 229:1584-1595. [PMID: 37956107 DOI: 10.1093/infdis/jiad482] [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: 06/05/2023] [Revised: 09/28/2023] [Accepted: 10/27/2023] [Indexed: 11/15/2023] Open
Abstract
Adaptive platform trials can be more efficient than classic trials for developing new treatments. Moving from culture-based to simpler- or faster-to-measure biomarkers as efficacy surrogates may enhance this advantage. We performed a systematic review of treatment efficacy biomarkers in adults with tuberculosis. Platform trials can span different development phases. We grouped biomarkers as: α, bacterial load estimates used in phase 2a trials; β, early and end-of treatment end points, phase 2b-c trials; γ, posttreatment or trial-level estimates, phase 2c-3 trials. We considered as analysis unit (biomarker entry) each combination of biomarker, predicted outcome, and their respective measurement times or intervals. Performance metrics included: sensitivity, specificity, area under the receiver-operator curve (AUC), and correlation measures, and classified as poor, promising, or good. Eighty-six studies included 22 864 participants. From 1356 biomarker entries, 318 were reported with the performance metrics of interest, with 103 promising and 41 good predictors. Group results were: α, mycobacterial RNA and lipoarabinomannan (LAM) in sputum, and host metabolites in urine; β, mycobacterial RNA and host transcriptomic or cytokine signatures for early treatment response; and γ, host transcriptomics for recurrence. A combination of biomarkers from different categories could help in designing more efficient platform trials. Efforts to develop efficacy surrogates should be better coordinated.
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Affiliation(s)
- Juan Espinosa-Pereiro
- Infectious Diseases Department, Vall d'Hebrón University Hospital, Universitat Autónoma de Barcelona, Barcelona, Spain
- International Health Program, Catalan Institute of Health, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infeccioass, Instituto de Salud Carlos III, Madrid, Spain
| | - Riccardo Alagna
- San Raffaele Scientific Institute, Milan, Italy
- Qiagen, Srl, Milan, Italy
| | | | | | - Norbert Heinrich
- Center for International Health, University Hospital, Ludwig Maximilian University Munich, Munich, Germany
- German Center for Infection Research, Munich, Germany
- Division of Infectious Diseases and Tropical Medicine, University Hospital, Ludwig Maximilian University Munich (DZIF), Partner Site Munich, Munich, Germany
| | - Adrián Sánchez-Montalvá
- Infectious Diseases Department, Vall d'Hebrón University Hospital, Universitat Autónoma de Barcelona, Barcelona, Spain
- International Health Program, Catalan Institute of Health, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infeccioass, Instituto de Salud Carlos III, Madrid, Spain
- Grupo de Estudio de Micobacterias, Sociedad Española de Enfermedades Infecciosas y Microbiología Clínica, Madrid, Spain
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Källenius G, Correia-Neves M, Sundling C. Diagnostic markers reflecting dysregulation of the host response in the transition to tuberculosis disease. Int J Infect Dis 2024; 141S:106984. [PMID: 38417614 DOI: 10.1016/j.ijid.2024.106984] [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: 01/20/2024] [Revised: 02/20/2024] [Accepted: 02/21/2024] [Indexed: 03/01/2024] Open
Abstract
Sustained control of Mycobacterium tuberculosis infection without evidence of disease is based on a finely tuned balance between pro- and anti-inflammatory responses. Loss of this balance leads to tuberculosis (TB) disease, in which exacerbated myeloid and neutrophil activation is common. Proteomic and transcriptomic assessment of the host response can detect increasing immune activation associated with TB disease progression several months before clinical disease. Future diagnostic methods based on measuring host response biomarkers that are able to detect this dysregulation could therefore be valuable in the early detection of TB disease progression.
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Affiliation(s)
- Gunilla Källenius
- Division of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden; Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden
| | - Margarida Correia-Neves
- Division of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden; Life and Health Sciences Research Institute, School of Medicine, University of Minho, Braga, Portugal; ICVS/3B's, PT Government Associate Laboratory, Braga, Portugal
| | - Christopher Sundling
- Division of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden; Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden; Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden.
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7
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Gupta-Wright A, Ha H, Abdulgadar S, Crowder R, Emmanuel J, Mukwatamundu J, Marcelo D, Phillips PPJ, Christopher DJ, Nhung NV, Theron G, Yu C, Nahid P, Cattamanchi A, Worodria W, Denkinger CM. Evaluation of the Xpert MTB Host Response assay for the triage of patients with presumed pulmonary tuberculosis: a prospective diagnostic accuracy study in Viet Nam, India, the Philippines, Uganda, and South Africa. Lancet Glob Health 2024; 12:e226-e234. [PMID: 38245113 PMCID: PMC11046618 DOI: 10.1016/s2214-109x(23)00541-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Revised: 11/06/2023] [Accepted: 11/09/2023] [Indexed: 01/22/2024]
Abstract
BACKGROUND Non-sputum-based triage tests for tuberculosis are a priority for ending tuberculosis. We aimed to evaluate the diagnostic accuracy of the late-prototype Xpert MTB Host Response (Xpert HR) blood-based assay. METHODS We conducted a prospective diagnostic accuracy study among outpatients with presumed tuberculosis in outpatient clinics in Viet Nam, India, the Philippines, Uganda, and South Africa. Eligible participants were aged 18 years or older and reported cough lasting at least 2 weeks. We excluded those receiving tuberculosis treatment in the preceding 12 months and those who were unwilling to consent. Xpert HR was performed on capillary or venous blood. Reference standard testing included sputum Xpert MTB/RIF Ultra and mycobacterial culture. We performed receiver operating characteristic (ROC) analysis to identify the optimal cutoff value for the Xpert HR to achieve the target sensitivity of 90% or more while maximising specificity, then calculated diagnostic accuracy using this cutoff value. This study was prospectively registered with ClinicalTrials.gov, NCT04923958. FINDINGS Between July 13, 2021, and Aug 15, 2022, 2046 adults with at least 2 weeks of cough were identified, of whom 1499 adults (686 [45·8%] females and 813 [54·2%] males) had valid Xpert HR and reference standard results. 329 (21·9%) had microbiologically confirmed tuberculosis. Xpert HR had an area under the ROC curve of 0·89 (95% CI 0·86-0·91). The optimal cutoff value was less than or equal to -1·25, giving a sensitivity of 90·3% (95% CI 86·5-93·3; 297 of 329) and a specificity of 62·6% (95% CI 59·7-65·3; 732 of 1170). Sensitivity was similar across countries, by sex, and by subgroups, although specificity was lower in people living with HIV (45·1%, 95% CI 37·8-52·6) than in those not living with HIV (65·9%, 62·8-68·8; difference of 20·8%, 95% CI 13·0-28·6; p<0·0001). Xpert HR had high negative predictive value (95·8%, 95% CI 94·1-97·1), but positive predictive value was only 40·1% (95% CI 36·8-44·1). Using the Xpert HR as a triage test would have reduced confirmatory sputum testing by 57·3% (95% CI 54·2-60·4). INTERPRETATION Xpert HR did not meet WHO minimum specificity targets for a non-sputum-based triage test for pulmonary tuberculosis. Despite promise as a rule-out test that could reduce confirmatory sputum testing, further cost-effectiveness modelling and data on acceptability and usability are needed to inform policy recommendations. FUNDING National Institute of Allergy and Infectious Diseases of the US National Institutes of Health. TRANSLATIONS For the Vietnamese and Tagalog translations of the abstract see Supplementary Materials section.
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Affiliation(s)
- Ankur Gupta-Wright
- Division of Infectious Disease and Tropical Medicine and German Centre for Infection Research, Heidelberg University Hospital, Heidelberg, Germany; Institute for Global Health, University College London, London, UK.
| | - Huy Ha
- Hanoi Lung Hospital, Hanoi, Viet Nam
| | - Shima Abdulgadar
- 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
| | - Rebecca Crowder
- UCSF Center for Tuberculosis, San Francisco General Hospital, University of California San Francisco, San Francisco, CA, USA
| | - Jerusha Emmanuel
- Department of Pulmonary Medicine, Christian Medical College, Vellore, India
| | - Job Mukwatamundu
- World Alliance for Lung and Intensive Care Medicine in Uganda, Kampala, Uganda
| | - Danaida Marcelo
- De La Salle Medical Health Sciences Institute, Dasmariñas City, Cavite, Philippines
| | - Patrick P J Phillips
- UCSF Center for Tuberculosis, San Francisco General Hospital, University of California San Francisco, San Francisco, CA, USA; Division of Pulmonary and Critical Care Medicine, University of California San Francisco, San Francisco, CA, USA
| | | | | | - Grant Theron
- 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
| | - Charles Yu
- De La Salle Medical Health Sciences Institute, Dasmariñas City, Cavite, Philippines
| | - Payam Nahid
- UCSF Center for Tuberculosis, San Francisco General Hospital, University of California San Francisco, San Francisco, CA, USA; Division of Pulmonary and Critical Care Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Adithya Cattamanchi
- UCSF Center for Tuberculosis, San Francisco General Hospital, University of California San Francisco, San Francisco, CA, USA; Division of Pulmonary Diseases and Critical Care Medicine, University of California Irvine, Irvine, CA, USA
| | - William Worodria
- World Alliance for Lung and Intensive Care Medicine in Uganda, Kampala, Uganda; Division of Pulmonology, Mulago National Referral Hospital, Kampala, Uganda
| | - Claudia M Denkinger
- Division of Infectious Disease and Tropical Medicine and German Centre for Infection Research, Heidelberg University Hospital, Heidelberg, Germany
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Herrera M, Taguiam E, Laupland KB, Rueda ZV, Keynan Y. Public health implications of the evolving understanding of tuberculosis natural history. JOURNAL OF THE ASSOCIATION OF MEDICAL MICROBIOLOGY AND INFECTIOUS DISEASE CANADA = JOURNAL OFFICIEL DE L'ASSOCIATION POUR LA MICROBIOLOGIE MEDICALE ET L'INFECTIOLOGIE CANADA 2024; 8:241-244. [PMID: 38250622 PMCID: PMC10797768 DOI: 10.3138/jammi-2023-02-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Affiliation(s)
- Mariana Herrera
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, Canada
| | - Erwin Taguiam
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, Canada
| | - Kevin B Laupland
- Department of Intensive Care Services, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia
| | - Zulma Vanessa Rueda
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, Canada
- Facultad de Medicina, Universidad Pontificia Bolivariana, Medellin, Colombia
| | - Yoav Keynan
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, Canada
- Department of Internal Medicine, University of Manitoba, Winnipeg, Manitoba, Canada
- National Collaborating Centre for Infectious Diseases, Winnipeg, Manitoba, Canada
- Department of Community Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada
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9
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Ko ER, Reller ME, Tillekeratne LG, Bodinayake CK, Miller C, Burke TW, Henao R, McClain MT, Suchindran S, Nicholson B, Blatt A, Petzold E, Tsalik EL, Nagahawatte A, Devasiri V, Rubach MP, Maro VP, Lwezaula BF, Kodikara-Arachichi W, Kurukulasooriya R, De Silva AD, Clark DV, Schully KL, Madut D, Dumler JS, Kato C, Galloway R, Crump JA, Ginsburg GS, Minogue TD, Woods CW. Host-response transcriptional biomarkers accurately discriminate bacterial and viral infections of global relevance. Sci Rep 2023; 13:22554. [PMID: 38110534 PMCID: PMC10728077 DOI: 10.1038/s41598-023-49734-6] [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: 12/27/2022] [Accepted: 12/11/2023] [Indexed: 12/20/2023] Open
Abstract
Diagnostic limitations challenge management of clinically indistinguishable acute infectious illness globally. Gene expression classification models show great promise distinguishing causes of fever. We generated transcriptional data for a 294-participant (USA, Sri Lanka) discovery cohort with adjudicated viral or bacterial infections of diverse etiology or non-infectious disease mimics. We then derived and cross-validated gene expression classifiers including: 1) a single model to distinguish bacterial vs. viral (Global Fever-Bacterial/Viral [GF-B/V]) and 2) a two-model system to discriminate bacterial and viral in the context of noninfection (Global Fever-Bacterial/Viral/Non-infectious [GF-B/V/N]). We then translated to a multiplex RT-PCR assay and independent validation involved 101 participants (USA, Sri Lanka, Australia, Cambodia, Tanzania). The GF-B/V model discriminated bacterial from viral infection in the discovery cohort an area under the receiver operator curve (AUROC) of 0.93. Validation in an independent cohort demonstrated the GF-B/V model had an AUROC of 0.84 (95% CI 0.76-0.90) with overall accuracy of 81.6% (95% CI 72.7-88.5). Performance did not vary with age, demographics, or site. Host transcriptional response diagnostics distinguish bacterial and viral illness across global sites with diverse endemic pathogens.
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Affiliation(s)
- Emily R Ko
- Division of General Internal Medicine, Department of Medicine, Duke Regional Hospital, Duke University Health System, Duke University School of Medicine, 3643 N. Roxboro St., Durham, NC, 27704, USA.
| | - Megan E Reller
- Division of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
- Durham Veterans Affairs Health Care System, Durham, NC, USA
- Duke Global Health Institute, Duke University, Durham, NC, USA
| | - L Gayani Tillekeratne
- Division of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
- Durham Veterans Affairs Health Care System, Durham, NC, USA
- Duke Global Health Institute, Duke University, Durham, NC, USA
- Department of Medicine, Faculty of Medicine, University of Ruhuna, Galle, Sri Lanka
| | - Champica K Bodinayake
- Duke Global Health Institute, Duke University, Durham, NC, USA
- Department of Medicine, Faculty of Medicine, University of Ruhuna, Galle, Sri Lanka
| | - Cameron Miller
- Clinical Research Unit, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Thomas W Burke
- Division of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Ricardo Henao
- Department of Biostatistics and Informatics, Duke University, Durham, NC, USA
| | - Micah T McClain
- Division of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
- Durham Veterans Affairs Health Care System, Durham, NC, USA
| | - Sunil Suchindran
- Division of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | | | - Adam Blatt
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA
| | - Elizabeth Petzold
- Division of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Ephraim L Tsalik
- Division of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
- Danaher Diagnostics, Washington, DC, USA
| | - Ajith Nagahawatte
- Department of Microbiology, Faculty of Medicine, University of Ruhuna, Galle, Sri Lanka
| | - Vasantha Devasiri
- Department of Medicine, Faculty of Medicine, University of Ruhuna, Galle, Sri Lanka
| | - Matthew P Rubach
- Durham Veterans Affairs Health Care System, Durham, NC, USA
- Duke Global Health Institute, Duke University, Durham, NC, USA
- Programme in Emerging Infectious Diseases, Duke-National University of Singapore, Singapore, Singapore
- Kilimanjaro Christian Medical Center, Moshi, Tanzania
| | - Venance P Maro
- Kilimanjaro Christian Medical Center, Moshi, Tanzania
- Kilimanjaro Christian Medical University College, Moshi, Tanzania
| | - Bingileki F Lwezaula
- Kilimanjaro Christian Medical University College, Moshi, Tanzania
- Maswenzi Regional Referral Hospital, Moshi, Tanzania
| | | | | | - Aruna D De Silva
- General Sir John Kotelawala Defence University, Colombo, Sri Lanka
| | - Danielle V Clark
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
- Austere Environments Consortium for Enhanced Sepsis Outcomes (ACESO), Biological Defense Research Directorate, Naval Medical Research Center-Frederick, Ft. Detrick, MD, USA
| | - Kevin L Schully
- Austere Environments Consortium for Enhanced Sepsis Outcomes (ACESO), Biological Defense Research Directorate, Naval Medical Research Center-Frederick, Ft. Detrick, MD, USA
| | - Deng Madut
- Durham Veterans Affairs Health Care System, Durham, NC, USA
- Duke Global Health Institute, Duke University, Durham, NC, USA
| | - J Stephen Dumler
- Joint Departments of Pathology, School of Medicine, Uniformed Services University, Bethesda, MD, USA
| | - Cecilia Kato
- Centers for Disease Control and Prevention, National Center for Emerging Zoonotic Infectious Diseases, Atlanta, USA
| | - Renee Galloway
- Centers for Disease Control and Prevention, National Center for Emerging Zoonotic Infectious Diseases, Atlanta, USA
| | - John A Crump
- Duke Global Health Institute, Duke University, Durham, NC, USA
- Department of Medicine, Faculty of Medicine, University of Ruhuna, Galle, Sri Lanka
- Kilimanjaro Christian Medical Center, Moshi, Tanzania
- Kilimanjaro Christian Medical University College, Moshi, Tanzania
- Centre for International Health, University of Otago, Dunedin, New Zealand
| | - Geoffrey S Ginsburg
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
- National Institute of Health, Bethesda, MD, USA
| | - Timothy D Minogue
- Diagnostic Systems Division, USAMRIID, Fort Detrick, Frederick, MD, USA
| | - Christopher W Woods
- Division of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
- Durham Veterans Affairs Health Care System, Durham, NC, USA
- Duke Global Health Institute, Duke University, Durham, NC, USA
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10
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Wu X, Tan G, Ma J, Yang J, Guo Y, Lu H, Ke H, Li M, Tang YW, Sha W, Yu F. Assessment of the Cepheid 3-gene Host Response Fingerstick Blood Test (MTB-HR) on rapid diagnosis of tuberculosis. Emerg Microbes Infect 2023; 12:2261561. [PMID: 37848021 PMCID: PMC10583623 DOI: 10.1080/22221751.2023.2261561] [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: 03/22/2023] [Accepted: 09/17/2023] [Indexed: 10/19/2023]
Abstract
ABSTRACTThe World Health Organization has identified high-priority target product profiles for new TB diagnostics which include rapid biomarker-based, non-sputum-based diagnostic testing, using an easily accessible sample. The Cepheid 3-gene Host Response Fingerstick Blood Prototype Test (MTB-HR) quantifies relative mRNA levels of a 3-gene signature (GBP5, DUSP3, and KLF2) from a whole-blood sample on the GeneXpert platform. The objective of the present study was to evaluate the performance of the MTB-HR to distinguish between active tuberculosis (ATB), latent Mycobacterium tuberculosis infection (LTBI), other pulmonary diseases, and healthy volunteers at a tertiary care centre. Among 653 participants enrolled in this study, 192 were diagnosed as having ATB, and the remaining 461 were classified as non-ATB, including 137 cases of LTBI, 224 cases of other pulmonary diseases, and 100 healthy volunteers. The corresponding AUCs of the MTB-HR in distinguishing untreated ATB from non-ATB, LTBI, other pulmonary diseases, and healthy volunteers were 0.814 (95% CI, 0.760-0.868, sensitivity 76.1%, specificity 71.6%), 0.739 (95% CI, 0.667-0.812, sensitivity 59.7%, specificity 78.1%), 0.825 (95% CI, 0.770-0.880, sensitivity 82.1%, specificity 65.6%), 0.892 (95% CI, 0.839-0.945, sensitivity 76.1%, specificity 88.0%), respectively. When only samples with TAT of less than 1 h were included, the AUC of the MTB-HR in distinguishing untreated ATB from non-ATB was largest, 0.920 (95% CI, 0.822-1.000, sensitivity 81.3%, specificity 87.7%). In conclusion, the MTB-HR assay shows potential as a rapid, blood-based screening and triage test for ATB, especially for untreated ATB, with the advantage of increased diagnostic yield since blood is more readily available.
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Affiliation(s)
- Xiaocui Wu
- Department of Clinical Laboratory, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic of China
- Shanghai Key Laboratory of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, People’s Republic of China
| | - Guangkun Tan
- Department of Clinical Laboratory, Shanghai University of Traditional Chinese Medical Attached Shuguang Hospital, Shanghai, People’s Republic of China
| | - Jian Ma
- Medical Affairs, Danaher Diagnostic Platform People’s Republic of China/Cepheid, Shanghai, People’s Republic of China
| | - Juan Yang
- Department of Tuberculosis, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic of China
| | - Yinjuan Guo
- Department of Clinical Laboratory, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic of China
| | - Haiwen Lu
- Department of Respiratory and Critical Care Medicine, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic of China
| | - Hui Ke
- Department of Tuberculosis, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic of China
| | - Mengran Li
- Department of Biostatistics & Data Management, Beckman Coulter People’s Republic of China, Danaher, Shanghai, People’s Republic of China
| | - Yi-Wei Tang
- Medical Affairs, Danaher Diagnostic Platform People’s Republic of China/Cepheid, Shanghai, People’s Republic of China
| | - Wei Sha
- Department of Tuberculosis, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic of China
| | - Fangyou Yu
- Department of Clinical Laboratory, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic of China
- Department of Laboratory Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, People’s Republic of China
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11
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Li M, Qiu Y, Guo M, Qu R, Tian F, Wang G, Wang Y, Ma J, Liu S, Takiff H, Tang YW, Gao Q. Evaluation of the Cepheid 3-gene host response blood test for tuberculosis diagnosis and treatment response monitoring in a primary-level clinic in rural China. J Clin Microbiol 2023; 61:e0091123. [PMID: 37902328 PMCID: PMC10662368 DOI: 10.1128/jcm.00911-23] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Accepted: 09/20/2023] [Indexed: 10/31/2023] Open
Abstract
A rapid, accurate, non-sputum-based triage test for diagnosing tuberculosis (TB) is a high-priority need. Cepheid developed a novel prototype blood test, Xpert Mycobacterium tuberculosis Host Response (Xpert-MTB-HR), which generates a TB score based on the mRNA expression of three genes. We conducted a case-control study with prospective recruitment to evaluate its accuracy in the clinic of the Wusheng County Centers for Disease Prevention and Control in China. We enrolled 149 TB patients, 248 other respiratory diseases (ORD) patients, and 193 healthy controls. In addition, whole-blood samples taken from TB patients after 2, 5, and 6 months of treatment were tested with Xpert-MTB-HR to evaluate its ability to monitor treatment response. Xpert-MTB-HR discriminated between TB and healthy controls with an area under the curve (AUC) of 0.912 (95% CI, 0.878-0.945). With the specificity of 70% envisioned for a triage test, its sensitivity was 90.1% (84.9%-94.6%). Xpert-MTB-HR discriminated between TB and ORD with an AUC of 0.798 (0.750-0.847), and at specificity of 70%, the sensitivity was only 75.8% (68.5%-82.8%). In patients determined by Ultra to have medium or high sputum bacillary loads, with specificity of 70%, the sensitivity for discriminating patients with TB from healthy controls was 100.0% (100.0-100.0) and from patients with ORD, 95.1% (89.8-100.0). The TB scores generally increased by 2 months of treatment and then remained stable. Xpert-MTB-HR met the criteria for a triage test to discriminate between TB and healthy controls, but not between TB and ORD, except when limited to patients with high sputum bacillary loads. Xpert-MTB-HR showed promise for monitoring response to treatment but needs to be further evaluated in larger prospective studies.
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Affiliation(s)
- Meng Li
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Science, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China
| | - Yong Qiu
- Wusheng County Center for Disease Control and Prevention, Guang’an, China
| | - Mingcheng Guo
- Wusheng County Center for Disease Control and Prevention, Guang’an, China
| | - Rong Qu
- Wusheng County Center for Disease Control and Prevention, Guang’an, China
| | - Fajun Tian
- Wusheng County Center for Disease Control and Prevention, Guang’an, China
| | - Gengsheng Wang
- Wusheng County Center for Disease Control and Prevention, Guang’an, China
| | - Ya Wang
- Wusheng County Center for Disease Control and Prevention, Guang’an, China
| | - Jian Ma
- Medical Affairs, Danaher Diagnostic Platform/Cepheid, Shanghai, China
| | - Siyuan Liu
- Medical Affairs, Danaher Diagnostic Platform/Cepheid, Shanghai, China
| | - Howard Takiff
- Laboratorio de Genética Molecular, CMBC, Instituto Venezolano de Investigaciones Científicas, IVIC, Caracas, Venezuela
| | - Yi-Wei Tang
- Medical Affairs, Danaher Diagnostic Platform/Cepheid, Shanghai, China
| | - Qian Gao
- Key Laboratory of Medical Molecular Virology (MOE/NHC/CAMS), School of Basic Medical Science, Shanghai Medical College, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, Shanghai, China
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12
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Phat NK, Tien NTN, Anh NK, Yen NTH, Lee YA, Trinh HKT, Le KM, Ahn S, Cho YS, Park S, Kim DH, Long NP, Shin JG. Alterations of lipid-related genes during anti-tuberculosis treatment: insights into host immune responses and potential transcriptional biomarkers. Front Immunol 2023; 14:1210372. [PMID: 38022579 PMCID: PMC10644770 DOI: 10.3389/fimmu.2023.1210372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Accepted: 10/18/2023] [Indexed: 12/01/2023] Open
Abstract
Background The optimal diagnosis and treatment of tuberculosis (TB) are challenging due to underdiagnosis and inadequate treatment monitoring. Lipid-related genes are crucial components of the host immune response in TB. However, their dynamic expression and potential usefulness for monitoring response to anti-TB treatment are unclear. Methodology In the present study, we used a targeted, knowledge-based approach to investigate the expression of lipid-related genes during anti-TB treatment and their potential use as biomarkers of treatment response. Results and discussion The expression levels of 10 genes (ARPC5, ACSL4, PLD4, LIPA, CHMP2B, RAB5A, GABARAPL2, PLA2G4A, MBOAT2, and MBOAT1) were significantly altered during standard anti-TB treatment. We evaluated the potential usefulness of this 10-lipid-gene signature for TB diagnosis and treatment monitoring in various clinical scenarios across multiple populations. We also compared this signature with other transcriptomic signatures. The 10-lipid-gene signature could distinguish patients with TB from those with latent tuberculosis infection and non-TB controls (area under the receiver operating characteristic curve > 0.7 for most cases); it could also be useful for monitoring response to anti-TB treatment. Although the performance of the new signature was not better than that of previous signatures (i.e., RISK6, Sambarey10, Long10), our results suggest the usefulness of metabolism-centric biomarkers. Conclusions Lipid-related genes play significant roles in TB pathophysiology and host immune responses. Furthermore, transcriptomic signatures related to the immune response and lipid-related gene may be useful for TB diagnosis and treatment monitoring.
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Affiliation(s)
- Nguyen Ky Phat
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Nguyen Tran Nam Tien
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Nguyen Ky Anh
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Nguyen Thi Hai Yen
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Yoon Ah Lee
- School of Mathematics, Statistics and Data Science, Sungshin Women's University, Seoul, Republic of Korea
| | - Hoang Kim Tu Trinh
- Center for Molecular Biomedicine, University of Medicine and Pharmacy at Ho Chi Minh, Ho Chi Minh, Vietnam
| | - Kieu-Minh Le
- Center for Molecular Biomedicine, University of Medicine and Pharmacy at Ho Chi Minh, Ho Chi Minh, Vietnam
| | - Sangzin Ahn
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Yong-Soon Cho
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Seongoh Park
- School of Mathematics, Statistics and Data Science, Sungshin Women's University, Seoul, Republic of Korea
- Data Science Center, Sungshin Women's University, Seoul, Republic of Korea
| | - Dong Hyun Kim
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea
| | - Nguyen Phuoc Long
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Jae-Gook Shin
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
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13
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Niyongabo B, Hira S. Evaluation of the diagnostic efficacy of EC-test for latent tuberculosis infection in ambulatory people with HIV. AIDS 2023; 37:1899-1900. [PMID: 37646588 DOI: 10.1097/qad.0000000000003631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Affiliation(s)
- Bienvenu Niyongabo
- Health System Strengthening, USAID-Rwanda Integrated Health Systems Activity, Kigali, Rwanda
| | - Subhash Hira
- University of Washington, Department of Global Health & SPH, Seattle, USA
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14
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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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15
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Vargas R, Abbott L, Bower D, Frahm N, Shaffer M, Yu WH. Gene signature discovery and systematic validation across diverse clinical cohorts for TB prognosis and response to treatment. PLoS Comput Biol 2023; 19:e1010770. [PMID: 37471455 PMCID: PMC10393163 DOI: 10.1371/journal.pcbi.1010770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 06/15/2023] [Indexed: 07/22/2023] Open
Abstract
While blood gene signatures have shown promise in tuberculosis (TB) diagnosis and treatment monitoring, most signatures derived from a single cohort may be insufficient to capture TB heterogeneity in populations and individuals. Here we report a new generalized approach combining a network-based meta-analysis with machine-learning modeling to leverage the power of heterogeneity among studies. The transcriptome datasets from 57 studies (37 TB and 20 viral infections) across demographics and TB disease states were used for gene signature discovery and model training and validation. The network-based meta-analysis identified a common 45-gene signature specific to active TB disease across studies. Two optimized random forest regression models, using the full or partial 45-gene signature, were then established to model the continuum from Mycobacterium tuberculosis infection to disease and treatment response. In model validation, using pooled multi-cohort datasets to mimic the real-world setting, the model provides robust predictive performance for incipient to active TB risk over a 2.5-year period with an AUROC of 0.85, 74.2% sensitivity, and 78.3% specificity, which approximates the minimum criteria (>75% sensitivity and >75% specificity) within the WHO target product profile for prediction of progression to TB. Moreover, the model strongly discriminates active TB from viral infection (AUROC 0.93, 95% CI 0.91-0.94). For treatment monitoring, the TB scores generated by the model statistically correlate with treatment responses over time and were predictive, even before treatment initiation, of standard treatment clinical outcomes. We demonstrate an end-to-end gene signature model development scheme that considers heterogeneity for TB risk estimation and treatment monitoring.
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Affiliation(s)
- Roger Vargas
- Bill & Melinda Gates Medical Research Institute, Cambridge, Massachusetts, United States of America
- Harvard University, Cambridge, Massachusetts, United States of America
| | - Liam Abbott
- Bill & Melinda Gates Medical Research Institute, Cambridge, Massachusetts, United States of America
| | - Daniel Bower
- Bill & Melinda Gates Medical Research Institute, Cambridge, Massachusetts, United States of America
| | - Nicole Frahm
- Bill & Melinda Gates Medical Research Institute, Cambridge, Massachusetts, United States of America
| | - Mike Shaffer
- Bill & Melinda Gates Medical Research Institute, Cambridge, Massachusetts, United States of America
| | - Wen-Han Yu
- Bill & Melinda Gates Medical Research Institute, Cambridge, Massachusetts, United States of America
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16
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Narsana N, Alejandra Pérez M, Subramanian A. Mycobacteria in Organ Transplant Recipients. Infect Dis Clin North Am 2023:S0891-5520(23)00040-5. [PMID: 37268476 DOI: 10.1016/j.idc.2023.04.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
This review describes the epidemiology and risk factors of tuberculosis (TB) in solid organ transplant recipients. We discuss the pre-transplant screening for risk of TB and management of latent TB in this population. We also discuss the challenges of management of TB and other difficult to treat mycobacteria such as Mycobacterium abscessus and Mycobacterium avium complex. The drugs for the management of these infections include rifamycins which have significant drug interactions with immunosuppressants and must be monitored closely.
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Affiliation(s)
- Niyati Narsana
- UC Davis School of Medicine, 4150 V Street, G500, Sacramento, CA 95817, USA.
| | | | - Aruna Subramanian
- Stanford University School of Medicine, 300 Pasteur Drive, Lane Building Suite 134, Stanford, CA 94305, USA
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17
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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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18
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Mendelsohn SC, Verhage S, Mulenga H, Scriba TJ, Hatherill M. Systematic review of diagnostic and prognostic host blood transcriptomic signatures of tuberculosis disease in people living with HIV. Gates Open Res 2023; 7:27. [PMID: 37123047 PMCID: PMC10133453 DOI: 10.12688/gatesopenres.14327.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/24/2023] [Indexed: 02/05/2023] Open
Abstract
Background HIV-associated tuberculosis (TB) has high mortality; however, current triage and prognostic tools offer poor sensitivity and specificity, respectively. We conducted a systematic review of diagnostic and prognostic host-blood transcriptomic signatures of TB in people living with HIV (PLHIV). Methods We systematically searched online databases for studies published in English between 1990-2020. Eligible studies included PLHIV of any age in test or validation cohorts, and used microbiological or composite reference standards for TB diagnosis. Inclusion was not restricted by setting or participant age. Study selection, quality appraisal using the QUADAS-2 tool, and data extraction were conducted independently by two reviewers. Thereafter, narrative synthesis of included studies, and comparison of signatures performance, was performed. Results We screened 1,580 records and included 12 studies evaluating 31 host-blood transcriptomic signatures in 10 test or validation cohorts of PLHIV that differentiated individuals with TB from those with HIV alone, latent Mycobacterium tuberculosis infection, or other diseases (OD). Two (2/10; 20%) cohorts were prospective (29 TB cases; 51 OD) and 8 (80%) case-control (353 TB cases; 606 controls) design. All cohorts (10/10) were recruited in Sub-Saharan Africa and 9/10 (90%) had a high risk of bias. Ten signatures (10/31; 32%) met minimum WHO Target Product Profile (TPP) criteria for TB triage tests. Only one study (1/12; 8%) evaluated prognostic performance of a transcriptomic signature for progression to TB in PLHIV, which did not meet the minimum WHO prognostic TPP. Conclusions Generalisability of reported findings is limited by few studies enrolling PLHIV, limited geographical diversity, and predominantly case-control design, which also introduces spectrum bias. New prospective cohort studies are needed that include PLHIV and are conducted in diverse settings. Further research exploring the effect of HIV clinical, virological, and immunological factors on diagnostic performance is necessary for development and implementation of TB transcriptomic signatures in PLHIV.
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Affiliation(s)
- Simon C Mendelsohn
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, Western Cape, 7935, South Africa
| | - Savannah Verhage
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, Western Cape, 7935, South Africa
| | - Humphrey Mulenga
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, Western Cape, 7935, South Africa
| | - Thomas J Scriba
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, Western Cape, 7935, South Africa
| | - Mark Hatherill
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, Western Cape, 7935, South Africa
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19
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Anh NK, Phat NK, Yen NTH, Jayanti RP, Thu VTA, Park YJ, Cho YS, Shin JG, Kim DH, Oh JY, Long NP. Comprehensive lipid profiles investigation reveals host metabolic and immune alterations during anti-tuberculosis treatment: Implications for therapeutic monitoring. Biomed Pharmacother 2023; 158:114187. [PMID: 36916440 DOI: 10.1016/j.biopha.2022.114187] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 12/19/2022] [Accepted: 12/28/2022] [Indexed: 01/05/2023] Open
Abstract
In this study, we investigated the lipidome of tuberculosis patients during standard chemotherapy to discover biosignatures that could aid therapeutic monitoring. UPLC-QToF MS was used to analyze 82 baseline and treatment plasma samples of patients with pulmonary tuberculosis. Subsequently, a data-driven and knowledge-based workflow, including robust annotation, statistical analysis, and functional analysis, was applied to assess lipid profiles during treatment. Overall, the lipids species from 17 lipid subclasses were significantly altered by anti-tuberculosis chemotherapy. Cholesterol ester (CE), monoacylglycerols, and phosphatidylcholine (PC) were upregulated, whereas triacylglycerols, sphingomyelin, and ether-linked phosphatidylethanolamines (PE O-) were downregulated. Notably, PCs demonstrated a clear upward expression pattern during tuberculosis treatment. Several lipid species were identified as potential biomarkers for therapeutic monitoring, such as PC(42:6), PE(O-40:5), CE(24:6), and dihexosylceramide Hex2Cer(34:2;2 O). Functional and lipid gene enrichment analysis revealed alterations in pathways related to lipid metabolism and host immune responses. In conclusion, this study provides a foundation for the use of lipids as biomarkers for clinical management of tuberculosis.
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Affiliation(s)
- Nguyen Ky Anh
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea; Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Nguyen Ky Phat
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea; Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Nguyen Thi Hai Yen
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea; Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Rannissa Puspita Jayanti
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea; Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Vo Thuy Anh Thu
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea; Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Young Jin Park
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea
| | - Yong-Soon Cho
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea; Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
| | - Jae-Gook Shin
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea; Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea; Department of Clinical Pharmacology, Inje University Busan Paik Hospital, Busan, Republic of Korea
| | - Dong Hyun Kim
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea
| | - Jee Youn Oh
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea.
| | - Nguyen Phuoc Long
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan, Republic of Korea; Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea.
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20
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Nick JA, Malcolm KC, Hisert KB, Wheeler EA, Rysavy NM, Poch K, Caceres S, Lovell VK, Armantrout E, Saavedra MT, Calhoun K, Chatterjee D, Aboellail I, De P, Martiniano SL, Jia F, Davidson RM. Culture independent markers of nontuberculous mycobacterial (NTM) lung infection and disease in the cystic fibrosis airway. Tuberculosis (Edinb) 2023; 138:102276. [PMID: 36417800 PMCID: PMC10965158 DOI: 10.1016/j.tube.2022.102276] [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: 10/15/2022] [Revised: 11/12/2022] [Accepted: 11/15/2022] [Indexed: 11/18/2022]
Abstract
Nontuberculous mycobacteria (NTM) are opportunistic pathogens that affect a relatively small but significant portion of the people with cystic fibrosis (CF), and may cause increased morbidity and mortality in this population. Cultures from the airway are the only test currently in clinical use for detecting NTM. Culture techniques used in clinical laboratories are insensitive and poorly suited for population screening or to follow progression of disease or treatment response. The lack of sensitive and quantitative markers of NTM in the airway impedes patient care and clinical trial design, and has limited our understanding of patterns of acquisition, latency and pathogenesis of disease. Culture-independent markers of NTM infection have the potential to overcome many of the limitations of standard NTM cultures, especially the very slow growth, inability to quantitate bacterial burden, and low sensitivity due to required decontamination procedures. A range of markers have been identified in sputum, saliva, breath, blood, urine, as well as radiographic studies. Proposed markers to detect presence of NTM or transition to NTM disease include bacterial cell wall products and DNA, as well as markers of host immune response such as immunoglobulins and the gene expression of circulating leukocytes. In all cases the sensitivity of culture-independent markers is greater than standard cultures; however, most do not discriminate between various NTM species. Thus, each marker may be best suited for a specific clinical application, or combined with other markers and traditional cultures to improve diagnosis and monitoring of treatment response.
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Affiliation(s)
- Jerry A Nick
- Department of Medicine, National Jewish Health, Denver, CO, 80206, USA; Department of Medicine, University of Colorado School of Medicine, Aurora, CO, 80045, USA.
| | - Kenneth C Malcolm
- Department of Medicine, National Jewish Health, Denver, CO, 80206, USA
| | - Katherine B Hisert
- Department of Medicine, National Jewish Health, Denver, CO, 80206, USA; Department of Medicine, University of Colorado School of Medicine, Aurora, CO, 80045, USA
| | - Emily A Wheeler
- Department of Medicine, National Jewish Health, Denver, CO, 80206, USA
| | - Noel M Rysavy
- Department of Medicine, National Jewish Health, Denver, CO, 80206, USA
| | - Katie Poch
- Department of Medicine, National Jewish Health, Denver, CO, 80206, USA
| | - Silvia Caceres
- Department of Medicine, National Jewish Health, Denver, CO, 80206, USA
| | - Valerie K Lovell
- Department of Medicine, National Jewish Health, Denver, CO, 80206, USA
| | - Emily Armantrout
- Department of Medicine, National Jewish Health, Denver, CO, 80206, USA
| | - Milene T Saavedra
- Department of Medicine, National Jewish Health, Denver, CO, 80206, USA; Department of Medicine, University of Colorado School of Medicine, Aurora, CO, 80045, USA
| | - Kara Calhoun
- Department of Medicine, University of Colorado School of Medicine, Aurora, CO, 80045, USA
| | - Delphi Chatterjee
- Mycobacteria Research Laboratories, Department of Microbiology, Immunology and Pathology, Colorado State University, 1682 Campus Delivery, Fort Collins, CO, 80523, USA
| | - Ibrahim Aboellail
- Mycobacteria Research Laboratories, Department of Microbiology, Immunology and Pathology, Colorado State University, 1682 Campus Delivery, Fort Collins, CO, 80523, USA
| | - Prithwiraj De
- Mycobacteria Research Laboratories, Department of Microbiology, Immunology and Pathology, Colorado State University, 1682 Campus Delivery, Fort Collins, CO, 80523, USA
| | - Stacey L Martiniano
- Department of Pediatrics, Children's Hospital Colorado, University of Colorado School of Medicine, Aurora, CO, 80045, USA
| | - Fan Jia
- Center for Genes, Environment, and Health, National Jewish Health, Denver, CO, 80206, USA
| | - Rebecca M Davidson
- Center for Genes, Environment, and Health, National Jewish Health, Denver, CO, 80206, USA
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21
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Ludi Z, Sule AA, Samy RP, Putera I, Schrijver B, Hutchinson PE, Gunaratne J, Verma I, Singhal A, Nora RLD, van Hagen PM, Dik WA, Gupta V, Agrawal R. Diagnosis and biomarkers for ocular tuberculosis: From the present into the future. Theranostics 2023; 13:2088-2113. [PMID: 37153734 PMCID: PMC10157737 DOI: 10.7150/thno.81488] [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: 12/02/2022] [Accepted: 03/19/2023] [Indexed: 05/10/2023] Open
Abstract
Tuberculosis is an airborne disease caused by Mycobacterium tuberculosis (Mtb) and can manifest both pulmonary and extrapulmonary disease, including ocular tuberculosis (OTB). Accurate diagnosis and swift optimal treatment initiation for OTB is faced by many challenges combined with the lack of standardized treatment regimens this results in uncertain OTB outcomes. The purpose of this study is to summarize existing diagnostic approaches and recently discovered biomarkers that may contribute to establishing OTB diagnosis, choice of anti-tubercular therapy (ATT) regimen, and treatment monitoring. The keywords ocular tuberculosis, tuberculosis, Mycobacterium, biomarkers, molecular diagnosis, multi-omics, proteomics, genomics, transcriptomics, metabolomics, T-lymphocytes profiling were searched on PubMed and MEDLINE databases. Articles and books published with at least one of the keywords were included and screened for relevance. There was no time limit for study inclusion. More emphasis was placed on recent publications that contributed new information about the pathogenesis, diagnosis, or treatment of OTB. We excluded abstracts and articles that were not written in the English language. References cited within the identified articles were used to further supplement the search. We found 10 studies evaluating the sensitivity and specificity of interferon-gamma release assay (IGRA), and 6 studies evaluating that of tuberculin skin test (TST) in OTB patients. IGRA (Sp = 71-100%, Se = 36-100%) achieves overall better sensitivity and specificity than TST (Sp = 51.1-85.7%; Se = 70.9-98.5%). For nuclear acid amplification tests (NAAT), we found 7 studies on uniplex polymerase chain reaction (PCR) with different Mtb targets, 7 studies on DNA-based multiplex PCR, 1 study on mRNA-based multiplex PCR, 4 studies on loop-mediated isothermal amplification (LAMP) assay with different Mtb targets, 3 studies on GeneXpert assay, 1 study on GeneXpert Ultra assay and 1 study for MTBDRplus assay for OTB. Specificity is overall improved but sensitivity is highly variable for NAATs (excluding uniplex PCR, Sp = 50-100%; Se = 10.5-98%) as compared to IGRA. We also found 3 transcriptomic studies, 6 proteomic studies, 2 studies on stimulation assays, 1 study on intraocular protein analysis and 1 study on T-lymphocyte profiling in OTB patients. All except 1 study evaluated novel, previously undiscovered biomarkers. Only 1 study has been externally validated by a large independent cohort. Future theranostic marker discovery by a multi-omics approach is essential to deepen pathophysiological understanding of OTB. Combined these might result in swift, optimal and personalized treatment regimens to modulate the heterogeneous mechanisms of OTB. Eventually, these studies could improve the current cumbersome diagnosis and management of OTB.
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Affiliation(s)
- Zhang Ludi
- Lee Kong Chian School of Medicine, Nanyang Technological University of Singapore, Singapore
| | - Ashita Ashish Sule
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Ramar Perumal Samy
- National Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore, Singapore
| | - Ikhwanuliman Putera
- Department of Ophthalmology, Faculty of Medicine Universitas Indonesia - CiptoMangunkusmoKirana Eye Hospital, Jakarta, Indonesia
- Laboratory Medical Immunology, Department of Immunology, ErasmusMC, UniversityMedical Centre, Rotterdam, the Netherlands
- Department of Internal Medicine, Division of Clinical Immunology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
- Department of Ophthalmology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Benjamin Schrijver
- Laboratory Medical Immunology, Department of Immunology, ErasmusMC, UniversityMedical Centre, Rotterdam, the Netherlands
| | - Paul Edward Hutchinson
- Immunology Programme, Life Sciences Institute, National University of Singapore, Singapore, Singapore
| | - Jayantha Gunaratne
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Indu Verma
- Department of Biochemistry, Post Graduate Institute of Medical Education and Research, Chandigarh, India
| | - Amit Singhal
- Lee Kong Chian School of Medicine, Nanyang Technological University of Singapore, Singapore
- A*SATR Infectious Diseases Labs (A*STAR ID Labs), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Rina La Distia Nora
- Department of Ophthalmology, Faculty of Medicine Universitas Indonesia - CiptoMangunkusmoKirana Eye Hospital, Jakarta, Indonesia
- Laboratory Medical Immunology, Department of Immunology, ErasmusMC, UniversityMedical Centre, Rotterdam, the Netherlands
- University of Indonesia Hospital (RSUI), Depok, West Java, Indonesia
| | - P. Martin van Hagen
- Laboratory Medical Immunology, Department of Immunology, ErasmusMC, UniversityMedical Centre, Rotterdam, the Netherlands
- Department of Internal Medicine, Division of Clinical Immunology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Willem A Dik
- Laboratory Medical Immunology, Department of Immunology, ErasmusMC, UniversityMedical Centre, Rotterdam, the Netherlands
| | - Vishali Gupta
- Advanced Eye Centre, Post-Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
| | - Rupesh Agrawal
- Lee Kong Chian School of Medicine, Nanyang Technological University of Singapore, Singapore
- National Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore, Singapore
- Duke NUS Medical School, Singapore, Singapore
- Singapore Eye Research Institute, Singapore, Singapore
- National Institute for Health Research Biomedical Research Centre, Moorfields Eye Hospital, London, UK
- School of Pharmacy, Nantong University, Nantong, P. R. China
- Department of Mechanical Engineering, University College London, London, United Kingdom
- ✉ Corresponding author: A/Prof (Dr) Rupesh Agrawal, Senior Consultant, National Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore 308433,
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22
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Mendelsohn SC, Verhage S, Mulenga H, Scriba TJ, Hatherill M. Systematic review of diagnostic and prognostic host blood transcriptomic signatures of tuberculosis disease in people living with HIV. Gates Open Res 2023; 7:27. [PMID: 37123047 PMCID: PMC10133453.2 DOI: 10.12688/gatesopenres.14327.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/02/2023] [Indexed: 05/09/2023] Open
Abstract
Background HIV-associated tuberculosis (TB) has high mortality; however, current triage and prognostic tools offer poor sensitivity and specificity, respectively. We conducted a systematic review of diagnostic and prognostic host-blood transcriptomic signatures of TB in people living with HIV (PLHIV). Methods We systematically searched online databases for studies published in English between 1990-2020. Eligible studies included PLHIV of any age in test or validation cohorts, and used microbiological or composite reference standards for TB diagnosis. Inclusion was not restricted by setting or participant age. Study selection, quality appraisal using the QUADAS-2 tool, and data extraction were conducted independently by two reviewers. Thereafter, narrative synthesis of included studies, and comparison of signatures performance, was performed. Results We screened 1,580 records and included 12 studies evaluating 31 host-blood transcriptomic signatures in 10 test or validation cohorts of PLHIV that differentiated individuals with TB from those with HIV alone, latent Mycobacterium tuberculosis infection, or other diseases (OD). Two (2/10; 20%) cohorts were prospective (29 TB cases; 51 OD) and 8 (80%) case-control (353 TB cases; 606 controls) design. All cohorts (10/10) were recruited in Sub-Saharan Africa and 9/10 (90%) had a high risk of bias. Ten signatures (10/31; 32%) met minimum WHO Target Product Profile (TPP) criteria for TB triage tests. Only one study (1/12; 8%) evaluated prognostic performance of a transcriptomic signature for progression to TB in PLHIV, which did not meet the minimum WHO prognostic TPP. Conclusions Generalisability of reported findings is limited by few studies enrolling PLHIV, limited geographical diversity, and predominantly case-control design, which also introduces spectrum bias. New prospective cohort studies are needed that include PLHIV and are conducted in diverse settings. Further research exploring the effect of HIV clinical, virological, and immunological factors on diagnostic performance is necessary for development and implementation of TB transcriptomic signatures in PLHIV.
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Affiliation(s)
- Simon C Mendelsohn
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, Western Cape, 7935, South Africa
| | - Savannah Verhage
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, Western Cape, 7935, South Africa
| | - Humphrey Mulenga
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, Western Cape, 7935, South Africa
| | - Thomas J Scriba
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, Western Cape, 7935, South Africa
| | - Mark Hatherill
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, Western Cape, 7935, South Africa
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23
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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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24
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Ying C, He C, Xu K, Li Y, Zhang Y, Wu W. Progress on diagnosis and treatment of latent tuberculosis infection. Zhejiang Da Xue Xue Bao Yi Xue Ban 2022; 51:691-696. [PMID: 36915977 PMCID: PMC10262000 DOI: 10.3724/zdxbyxb-2022-0445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Accepted: 09/20/2022] [Indexed: 12/24/2022]
Abstract
One fourth of the global population has been infected with Mycobacterium tuberculosis, and about 5%-10% of the infected individuals with latent tuberculosis infection (LTBI) will convert to active tuberculosis (ATB). Correct diagnosis and treatment of LTBI are important in ending the tuberculosis epidemic. Current methods for diagnosing LTBI, such as tuberculin skin test (TST) and interferon-γ release assay (IGRA), have limitations. Some novel biomarkers, such as transcriptome derived host genes in peripheral blood cells, will help to distinguish LTBI from ATB. More emphasis should be placed on surveillance in high-risk groups, including patients with HIV infection, those using biological agents, organ transplant recipients and those in close contact with ATB patients. For those with LTBI, treatment should be based on the risk of progression to ATB and the potential benefit. Prophylactic LTBI regimens include isoniazid monotherapy for 6 or 9 months, rifampicin monotherapy for 4 months, weekly rifapentine plus isoniazid for 3 months (3HP regimen) and daily rifampicin plus isoniazid for 3 months (3HR regimen). The success of the one month rifapentine plus isoniazid daily regimen (1HP regimen) suggests the feasibility of an ultra-short treatment strategy although its efficacy needs further assessment. Prophylactic treatment of LTBI in close contact with MDR-TB patients is another challenge, and the regimens include new anti-tuberculosis drugs such as bedaquiline, delamanid, fluoroquinolone and their combinations, which should be carefully evaluated. This article summarizes the current status of diagnosis and treatment of LTBI and its future development direction.
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Affiliation(s)
- Chiqing Ying
- 1. The First Affiliated Hospital, Zhejiang University School of Medicine, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China
| | - Chang He
- 1. The First Affiliated Hospital, Zhejiang University School of Medicine, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China
| | - Kaijin Xu
- 1. The First Affiliated Hospital, Zhejiang University School of Medicine, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China
| | - Yongtao Li
- 1. The First Affiliated Hospital, Zhejiang University School of Medicine, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China
| | - Ying Zhang
- 1. The First Affiliated Hospital, Zhejiang University School of Medicine, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China
- 2. Jinan Microecological Biomedicine Shandong Laboratory, Jinan 250117, China
| | - Wei Wu
- 1. The First Affiliated Hospital, Zhejiang University School of Medicine, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China
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25
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Rao AM, Popper SJ, Gupta S, Davong V, Vaidya K, Chanthongthip A, Dittrich S, Robinson MT, Vongsouvath M, Mayxay M, Nawtaisong P, Karmacharya B, Thair SA, Bogoch I, Sweeney TE, Newton PN, Andrews JR, Relman DA, Khatri P. A robust host-response-based signature distinguishes bacterial and viral infections across diverse global populations. Cell Rep Med 2022; 3:100842. [PMID: 36543117 PMCID: PMC9797950 DOI: 10.1016/j.xcrm.2022.100842] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 07/12/2022] [Accepted: 11/09/2022] [Indexed: 12/24/2022]
Abstract
Limited sensitivity and specificity of current diagnostics lead to the erroneous prescription of antibiotics. Host-response-based diagnostics could address these challenges. However, using 4,200 samples across 69 blood transcriptome datasets from 20 countries from patients with bacterial or viral infections representing a broad spectrum of biological, clinical, and technical heterogeneity, we show current host-response-based gene signatures have lower accuracy to distinguish intracellular bacterial infections from viral infections than extracellular bacterial infections. Using these 69 datasets, we identify an 8-gene signature to distinguish intracellular or extracellular bacterial infections from viral infections with an area under the receiver operating characteristic curve (AUROC) > 0.91 (85.9% specificity and 90.2% sensitivity). In prospective cohorts from Nepal and Laos, the 8-gene classifier distinguished bacterial infections from viral infections with an AUROC of 0.94 (87.9% specificity and 91% sensitivity). The 8-gene signature meets the target product profile proposed by the World Health Organization and others for distinguishing bacterial and viral infections.
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Affiliation(s)
- Aditya M. Rao
- Institute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, 240 Pasteur Dr., Biomedical Innovation Building, Room 1553, Stanford, CA, USA,Immunology Graduate Program, Department of Medicine, Stanford University, Stanford, CA, USA
| | - Stephen J. Popper
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, Stanford, CA, USA
| | - Sanjana Gupta
- Institute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, 240 Pasteur Dr., Biomedical Innovation Building, Room 1553, Stanford, CA, USA,Center for Biomedical Informatics Research, Department of Medicine, Stanford University, Stanford, CA, USA
| | - Viengmon Davong
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit, Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao PDR
| | - Krista Vaidya
- Dhulikhel Hospital, Kathmandu University Hospital, Kavrepalanchok, Nepal
| | - Anisone Chanthongthip
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit, Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao PDR
| | - Sabine Dittrich
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit, Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao PDR,Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Matthew T. Robinson
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit, Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao PDR,Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Manivanh Vongsouvath
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit, Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao PDR
| | - Mayfong Mayxay
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit, Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao PDR,Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK,Institute of Research and Education Development (IRED), University of Health Sciences, Ministry of Health, Vientiane, Lao PDR
| | - Pruksa Nawtaisong
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit, Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao PDR
| | - Biraj Karmacharya
- Dhulikhel Hospital, Kathmandu University Hospital, Kavrepalanchok, Nepal
| | - Simone A. Thair
- Institute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, 240 Pasteur Dr., Biomedical Innovation Building, Room 1553, Stanford, CA, USA,Center for Biomedical Informatics Research, Department of Medicine, Stanford University, Stanford, CA, USA
| | - Isaac Bogoch
- Department of Medicine, University of Toronto, Toronto, ON, Canada
| | | | - Paul N. Newton
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit, Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao PDR,Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Jason R. Andrews
- Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, Stanford, CA, USA
| | - David A. Relman
- Institute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, 240 Pasteur Dr., Biomedical Innovation Building, Room 1553, Stanford, CA, USA,Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, Stanford, CA, USA,Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA,Infectious Diseases Section, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
| | - Purvesh Khatri
- Institute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, 240 Pasteur Dr., Biomedical Innovation Building, Room 1553, Stanford, CA, USA,Center for Biomedical Informatics Research, Department of Medicine, Stanford University, Stanford, CA, USA,Corresponding author
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26
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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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27
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Transcriptional Biomarkers for Treatment Monitoring of Pulmonary Drug-Resistant Tuberculosis: Protocol for a Prospective Observational Study in Indonesia. Trop Med Infect Dis 2022; 7:tropicalmed7110326. [DOI: 10.3390/tropicalmed7110326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 10/18/2022] [Accepted: 10/20/2022] [Indexed: 11/05/2022] Open
Abstract
Many blood-based gene expression biomarkers for monitoring tuberculosis (TB) treatment have been suggested so far, but promising biomarker results for drug-resistant TB treatment response have not been studied. This protocol presents a prospective observational study in Indonesia to profile the human blood transcriptome for predicting the response to drug-resistant TB treatment, focusing on pulmonary TB, and to adapt the specific RNA signature to the qRT-PCR platform. Longitudinal blood samples will be collected from 44 subjects with rifampicin resistant TB, confirmed by Xpert MTB/RIF, and 52 healthy controls. RNA-Seq will be performed to identify changes in the transcriptome following TB treatment. A discriminative RNA signature will be chosen and translated into a score for use in a quantitative PCR-based assay. This study will provide crucial information to guide the discovery and design of a clinically implementable tool to monitor the response of TB treatment.
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28
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Kaipilyawar V, Zhao Y, Wang X, Joseph NM, Knudsen S, Prakash Babu S, Muthaiah M, Hochberg NS, Sarkar S, Horsburgh CR, Ellner JJ, Johnson WE, Salgame P. Development and Validation of a Parsimonious Tuberculosis Gene Signature Using the digital NanoString nCounter Platform. Clin Infect Dis 2022; 75:1022-1030. [PMID: 35015839 PMCID: PMC9522394 DOI: 10.1093/cid/ciac010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Blood-based biomarkers for diagnosing active tuberculosis (TB), monitoring treatment response, and predicting risk of progression to TB disease have been reported. However, validation of the biomarkers across multiple independent cohorts is scarce. A robust platform to validate TB biomarkers in different populations with clinical end points is essential to the development of a point-of-care clinical test. NanoString nCounter technology is an amplification-free digital detection platform that directly measures mRNA transcripts with high specificity. Here, we determined whether NanoString could serve as a platform for extensive validation of candidate TB biomarkers. METHODS The NanoString platform was used for performance evaluation of existing TB gene signatures in a cohort in which signatures were previously evaluated on an RNA-seq dataset. A NanoString codeset that probes 107 genes comprising 12 TB signatures and 6 housekeeping genes (NS-TB107) was developed and applied to total RNA derived from whole blood samples of TB patients and individuals with latent TB infection (LTBI) from South India. The TBSignatureProfiler tool was used to score samples for each signature. An ensemble of machine learning algorithms was used to derive a parsimonious biomarker. RESULTS Gene signatures present in NS-TB107 had statistically significant discriminative power for segregating TB from LTBI. Further analysis of the data yielded a NanoString 6-gene set (NANO6) that when tested on 10 published datasets was highly diagnostic for active TB. CONCLUSIONS The NanoString nCounter system provides a robust platform for validating existing TB biomarkers and deriving a parsimonious gene signature with enhanced diagnostic performance.
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Affiliation(s)
- Vaishnavi Kaipilyawar
- Department of Medicine, Center for Emerging Pathogens, Rutgers-New Jersey Medical School, Newark, New Jersey, USA
| | - Yue Zhao
- Department of Medicine, Division of Computational Biomedicine, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Xutao Wang
- Department of Medicine, Division of Computational Biomedicine, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Noyal M Joseph
- Department of Microbiology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India
| | | | - Senbagavalli Prakash Babu
- Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India
| | - Muthuraj Muthaiah
- Department of Microbiology, State TB Training and Demonstration Center, Government Hospital for Chest Disease, Gorimedu, Puducherry, India
| | - Natasha S Hochberg
- Boston Medical Center, Boston, Massachusetts, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA
- Department of Medicine, Section of Infectious Diseases, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Sonali Sarkar
- Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India
| | - Charles R Horsburgh
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Jerrold J Ellner
- Department of Medicine, Center for Emerging Pathogens, Rutgers-New Jersey Medical School, Newark, New Jersey, USA
| | - W Evan Johnson
- Department of Medicine, Division of Computational Biomedicine, Boston University School of Medicine, Boston, Massachusetts, USA
- Bioinformatics Program, Boston University, Boston, Massachusetts, USA
| | - Padmini Salgame
- Department of Medicine, Center for Emerging Pathogens, Rutgers-New Jersey Medical School, Newark, New Jersey, USA
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29
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Are mRNA based transcriptomic signatures ready for diagnosing tuberculosis in the clinic? - A review of evidence and the technological landscape. EBioMedicine 2022; 82:104174. [PMID: 35850011 PMCID: PMC9294474 DOI: 10.1016/j.ebiom.2022.104174] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 05/11/2022] [Accepted: 07/01/2022] [Indexed: 11/20/2022] Open
Abstract
Funding
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30
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Marambire ET, Banze D, Mfinanga A, Mutsvangwa J, Mbunda TD, Ntinginya NE, Celso K, Kallenius G, Calderwood CJ, Geldmacher C, Held K, Appalarowthu T, Rieß F, Panzner U, Heinrich N, Kranzer K. Early risk assessment in paediatric and adult household contacts of confirmed tuberculosis cases by novel diagnostic tests (ERASE-TB): protocol for a prospective, non-interventional, longitudinal, multicountry cohort study. BMJ Open 2022; 12:e060985. [PMID: 36427173 PMCID: PMC9301805 DOI: 10.1136/bmjopen-2022-060985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
INTRODUCTION The WHO End-TB Strategy calls for the development of novel diagnostics to detect tuberculosis (TB) earlier and more accurately. Better diagnostics, together with tools to predict disease progression, are critical for achieving WHO End-TB targets. The Early Risk Assessment in TB Contacts by new diagnoStic tEsts (ERASE-TB) study aims to evaluate novel diagnostics and testing algorithms for early TB diagnosis and accurate prediction of disease progression among household contacts (HHCs) exposed to confirmed index cases in Mozambique, Tanzania and Zimbabwe. METHODS AND ANALYSIS A total of 2100 HHCs (aged ≥10 years) of adults with microbiologically-confirmed pulmonary TB will be recruited and followed up at 6-month intervals for 18-24 months. At each time point, a WHO symptom screen and digital chest radiograph (dCXR) will be performed, and blood and urine samples will be collected. Individuals screening positive (WHO symptom screen or dCXR) will be requested to provide sputum for Xpert MTB/Rif Ultra. At baseline, HHCs will also be screened for HIV, diabetes (HbA1c), chronic lung disease (spirometry), hypertension and anaemia. Study outcomes will be coprevalent TB (diagnosed at enrolment), incident TB (diagnosed during follow-up) or no TB at completion of follow-up. Novel diagnostics will be validated using fresh and biobanked samples with a nested case-control design. Cases are defined as HHCs diagnosed with TB (for early diagnosis) or with incident TB (for prediction of progression) and will be matched by age, sex and country to HHCs who remain healthy (controls). Statistical analyses will include assessment of diagnostic accuracy by constructing receiver operating curves and calculation of sensitivity and specificity. ETHICS AND DISSEMINATION ERASE-TB has been approved by regulatory and ethical committees in each African country and by each partner organisation. Consent, with additional assent for participants <18 years, is voluntary. Attestation by impartial witnesses is sought in case of illiteracy. Confidentiality of participants is being maintained throughout. Study findings will be presented at scientific conferences and published in peer-reviewed international journals. TRIAL REGISTRATION NUMBER NCT04781257.Cite Now.
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Affiliation(s)
| | - Denise Banze
- Instituto Nacional de Saúde, Marracuene, Mozambique
| | - Alfred Mfinanga
- National Institute for Medical Research- Mbeya Medical Research Centre, Mbeya, Tanzania
| | | | - Theodora D Mbunda
- National Institute for Medical Research- Mbeya Medical Research Centre, Mbeya, Tanzania
| | | | - Khosa Celso
- Instituto Nacional de Saúde, Marracuene, Mozambique
| | | | - Claire J Calderwood
- Department of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK
| | - Christof Geldmacher
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, Munich, Germany
- German Center for Infection Research (DZIF), Partner site Munich, Munich, Germany
| | - Kathrin Held
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, Munich, Germany
- German Center for Infection Research (DZIF), Partner site Munich, Munich, Germany
| | - Tejaswi Appalarowthu
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, Munich, Germany
- German Center for Infection Research (DZIF), Partner site Munich, Munich, Germany
| | - Friedrich Rieß
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, Munich, Germany
- German Center for Infection Research (DZIF), Partner site Munich, Munich, Germany
| | - Ursula Panzner
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, Munich, Germany
- German Center for Infection Research (DZIF), Partner site Munich, Munich, Germany
| | - Norbert Heinrich
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, Munich, Germany
- German Center for Infection Research (DZIF), Partner site Munich, Munich, Germany
| | - Katharina Kranzer
- Biomedical Research and Training Institute, Harare, Zimbabwe
- Department of Clinical Research, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, Munich, Germany
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31
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Sutherland JS, van der Spuy G, Gindeh A, Thuong NTT, Namuganga A, Owolabi O, Mayanja-Kizza H, Nsereko M, Thwaites G, Winter J, Dockrell HM, Scriba TJ, Geluk A, Corstjens P, Stanley K, Richardson T, Shaw JA, Smith B, Malherbe ST, Walzl G. Diagnostic Accuracy of the Cepheid 3-gene Host Response Fingerstick Blood Test in a Prospective, Multi-site Study: Interim Results. Clin Infect Dis 2022; 74:2136-2141. [PMID: 34550342 PMCID: PMC9258935 DOI: 10.1093/cid/ciab839] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND The development of a fast and accurate, non-sputum-based point-of-care triage test for tuberculosis (TB) would have a major impact on combating the TB burden worldwide. A new fingerstick blood test has been developed by Cepheid (the Xpert MTB Host Response [MTB-HR] prototype), which generates a "TB score" based on messenger RNA (mRNA) expression of 3 genes. Here we describe the first prospective findings of the MTB-HR prototype. METHODS Fingerstick blood from adults presenting with symptoms compatible with TB in South Africa, The Gambia, Uganda, and Vietnam was analyzed using the Cepheid GeneXpert MTB-HR prototype. Accuracy of the Xpert MTB-HR cartridge was determined in relation to GeneXpert Ultra results and a composite microbiological score (GeneXpert Ultra and liquid culture) with patients classified as having TB or other respiratory diseases (ORD). RESULTS When data from all sites (n = 75 TB, 120 ORD) were analyzed, the TB score discriminated between TB and ORD with an area under the curve (AUC) of 0.94 (95% confidence interval [CI], .91-.97), sensitivity of 87% (95% CI, 77-93%) and specificity of 94% (88-97%). When sensitivity was set at 90% for a triage test, specificity was 86% (95% CI, 75-97%). These results were not influenced by human immunodeficiency virus (HIV) status or geographical location. When evaluated against a composite microbiological score (n = 80 TB, 111 ORD), the TB score was able to discriminate between TB and ORD with an AUC of 0.88 (95% CI, .83-.94), 80% sensitivity (95% CI, 76-85%) and 94% specificity (95% CI, 91-96%). CONCLUSIONS Our interim data indicate the Cepheid MTB-HR cartridge reaches the minimal target product profile for a point of care triage test for TB using fingerstick blood, regardless of geographic area or HIV infection status.
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Affiliation(s)
- Jayne S Sutherland
- Vaccines and Immunity Theme, Medical Research Council (MRC) Unit, The Gambia at the London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - Gian van der Spuy
- Department of Science and Technology National Research Foundation (DST-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
| | - Awa Gindeh
- Vaccines and Immunity Theme, Medical Research Council (MRC) Unit, The Gambia at the London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | - Nguyen Thuy Thuong Thuong
- Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | | | - Olumuyiwa Owolabi
- Vaccines and Immunity Theme, Medical Research Council (MRC) Unit, The Gambia at the London School of Hygiene and Tropical Medicine, Banjul, The Gambia
| | | | | | - Guy Thwaites
- Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Jill Winter
- Catalysis Foundation, Berkeley, California, USA
| | - Hazel M Dockrell
- London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - 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, South Africa
| | - Annemieke Geluk
- Department of Infectious Diseases, Leiden University Medical Center, The Netherlands
| | - Paul Corstjens
- Department of Cell and Chemical Biology, Leiden University Medical Center, The Netherlands
| | - Kim Stanley
- Department of Science and Technology National Research Foundation (DST-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
| | - Tracy Richardson
- Department of Science and Technology National Research Foundation (DST-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
| | - Jane A Shaw
- Department of Science and Technology National Research Foundation (DST-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
| | - Bronwyn Smith
- Department of Science and Technology National Research Foundation (DST-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
| | - Stephanus T Malherbe
- Department of Science and Technology National Research Foundation (DST-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
- Department of Science and Technology National Research Foundation (DST-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
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Mbandi SK, Painter H, Penn‐Nicholson A, Toefy A, Erasmus M, Hanekom WA, Scriba TJ, Lai RP, Marais S, Fletcher HA, Meintjes G, Wilkinson RJ, Cotton MF, Pahwa S, Cameron MJ, Nemes E. Host transcriptomic signatures of tuberculosis can predict immune reconstitution inflammatory syndrome in HIV patients. Eur J Immunol 2022; 52:1112-1119. [PMID: 35398886 PMCID: PMC9276552 DOI: 10.1002/eji.202249815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 04/06/2022] [Accepted: 04/07/2022] [Indexed: 12/13/2022]
Abstract
Immune reconstitution inflammatory syndrome (IRIS) can be a complication of antiretroviral therapy (ART) in patients with advanced HIV, but its pathogenesis is uncertain. In tuberculosis (TB) endemic countries, IRIS is often associated with mycobacterial infections or Bacille-Calmette-Guerin (BCG) vaccination in children. With no predictive or confirmatory tests at present, IRIS remains a diagnosis of exclusion. We tested whether RISK6 and Sweeney3, validated immune-based blood transcriptomic signatures for TB, could predict or diagnose IRIS in HIV+ children and adults. Transcripts were measured by RT-qPCR in BCG-vaccinated children and by microarray in HIV+ adults with TB including TB meningitis (TBM). Signature scores before ART initiation and up to IRIS diagnosis were compared between participants who did or did not develop IRIS. In children, RISK6 and Sweeney3 discriminated IRIS cases from non-IRIS controls before ART, and at diagnosis. In adults with TB, RISK6 discriminated IRIS cases from controls after half-week on ART and at TB-IRIS onset. In adults with TBM, only Sweeney3 discriminated IRIS cases from controls before ART, while both signatures distinguished cases from controls at TB-IRIS onset. Parsimonious whole blood transcriptomic signatures for TB showed potential to predict and diagnose IRIS in HIV+ children and adults.
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Affiliation(s)
- Stanley Kimbung Mbandi
- South African Tuberculosis Vaccine Initiative (SATVI)Institute of Infectious Disease and Molecular Medicine and Division of ImmunologyDepartment of PathologyUniversity of Cape TownCape TownSouth Africa
| | - Hannah Painter
- Department of Infection BiologyLondon School of Hygiene & Tropical MedicineLondonUK
| | - Adam Penn‐Nicholson
- South African Tuberculosis Vaccine Initiative (SATVI)Institute of Infectious Disease and Molecular Medicine and Division of ImmunologyDepartment of PathologyUniversity of Cape TownCape TownSouth Africa
| | - Asma Toefy
- South African Tuberculosis Vaccine Initiative (SATVI)Institute of Infectious Disease and Molecular Medicine and Division of ImmunologyDepartment of PathologyUniversity of Cape TownCape TownSouth Africa
| | - Mzwandile Erasmus
- South African Tuberculosis Vaccine Initiative (SATVI)Institute of Infectious Disease and Molecular Medicine and Division of ImmunologyDepartment of PathologyUniversity of Cape TownCape TownSouth Africa
| | - Willem A. Hanekom
- South African Tuberculosis Vaccine Initiative (SATVI)Institute of Infectious Disease and Molecular Medicine and Division of ImmunologyDepartment of PathologyUniversity of Cape TownCape TownSouth Africa
| | - Thomas J. Scriba
- South African Tuberculosis Vaccine Initiative (SATVI)Institute of Infectious Disease and Molecular Medicine and Division of ImmunologyDepartment of PathologyUniversity of Cape TownCape TownSouth Africa
| | - Rachel P.J. Lai
- Department of Infectious DiseasesImperial College LondonLondonUK
| | - Suzaan Marais
- Wellcome Centre for Infectious Diseases Research in AfricaUniversity of Cape TownObservatorySouth Africa
- Institute of Infectious Disease and Molecular Medicine and Department of MedicineUniversity of Cape TownObservatorySouth Africa
| | - Helen A. Fletcher
- Department of Infection BiologyLondon School of Hygiene & Tropical MedicineLondonUK
| | - Graeme Meintjes
- Wellcome Centre for Infectious Diseases Research in AfricaUniversity of Cape TownObservatorySouth Africa
- Institute of Infectious Disease and Molecular Medicine and Department of MedicineUniversity of Cape TownObservatorySouth Africa
| | - Robert J. Wilkinson
- Department of Infectious DiseasesImperial College LondonLondonUK
- Wellcome Centre for Infectious Diseases Research in AfricaUniversity of Cape TownObservatorySouth Africa
- Institute of Infectious Disease and Molecular Medicine and Department of MedicineUniversity of Cape TownObservatorySouth Africa
- Francis Crick InstituteLondonUK
| | - Mark F. Cotton
- Family Center for Research with UbuntuDepartment of Pediatrics & Child HealthFaculty of Medicine and Health SciencesStellenbosch UniversityTygerbergSouth Africa
| | - Savita Pahwa
- Department of Microbiology and ImmunologyMiami Center for AIDS ResearchUniversity of Miami Miller School of MedicineMiamiFloridaUSA
| | - Mark J. Cameron
- Department of Population & Quantitative Health SciencesCase Western Reserve University School of MedicineClevelandOhioUSA
| | - Elisa Nemes
- South African Tuberculosis Vaccine Initiative (SATVI)Institute of Infectious Disease and Molecular Medicine and Division of ImmunologyDepartment of PathologyUniversity of Cape TownCape TownSouth Africa
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Kelly E, Whelan SO, Harriss E, Murphy S, Pollard AJ, O' Connor D. Systematic review of host genomic biomarkers of invasive bacterial disease: Distinguishing bacterial from non-bacterial causes of acute febrile illness. EBioMedicine 2022; 81:104110. [PMID: 35792524 PMCID: PMC9256842 DOI: 10.1016/j.ebiom.2022.104110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 05/27/2022] [Accepted: 05/28/2022] [Indexed: 12/03/2022] Open
Abstract
Background Infectious diseases play a significant role in the global burden of disease. The gold standard for the diagnosis of bacterial infection, bacterial culture, can lead to diagnostic delays and inappropriate antibiotic use. The advent of high- throughput technologies has led to the discovery of host-based genomic biomarkers of infection, capable of differentiating bacterial from other causes of infection, but few have achieved validation for use in a clinical setting. Methods A systematic review was performed. PubMed/Ovid Medline, Ovid Embase and Scopus databases were searched for relevant studies from inception up to 30/03/2022 with forward and backward citation searching of key references. Studies assessing the diagnostic performance of human host genomic biomarkers of bacterial infection were included. Study selection and assessment of quality were conducted by two independent reviewers. A meta-analysis was undertaken using a diagnostic random-effects model. The review was registered with PROSPERO (ID: CRD42021208462). Findings Seventy-two studies evaluating the performance of 116 biomarkers in 16,216 patients were included. Forty-six studies examined TB-specific biomarker performance and twenty-four studies assessed biomarker performance in a paediatric population. The results of pooled sensitivity, specificity, negative and positive likelihood ratio, and diagnostic odds ratio of genomic biomarkers of bacterial infection were 0.80 (95% CI 0.78 to 0.82), 0.86 (95% CI 0.84 to 0.88), 0.18 (95% CI 0.16 to 0.21), 5.5 (95% CI 4.9 to 6.3), 30.1 (95% CI 24 to 37), respectively. Significant between-study heterogeneity (I2 77%) was present. Interpretation Host derived genomic biomarkers show significant potential for clinical use as diagnostic tests of bacterial infection however, further validation and attention to test platform is warranted before clinical implementation can be achieved. Funding No funding received.
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Affiliation(s)
- Eimear Kelly
- Oxford Vaccine Group, Department of Paediatrics, University of Oxford, Oxford. UK; NIHR Oxford Biomedical Research Centre, Oxford, UK.
| | - Seán Olann Whelan
- Department of Clinical Microbiology, Galway University Hospital, Galway, Ireland
| | - Eli Harriss
- Bodleian Health Care Libraries, University of Oxford
| | - Sarah Murphy
- Department of Paediatrics, Cork University Maternity Hospital, Wilton, Cork, Ireland
| | - Andrew J Pollard
- Oxford Vaccine Group, Department of Paediatrics, University of Oxford, Oxford. UK; NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - Daniel O' Connor
- Oxford Vaccine Group, Department of Paediatrics, University of Oxford, Oxford. UK; NIHR Oxford Biomedical Research Centre, Oxford, UK
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Pitaloka DAE, Syamsunarno MRAAA, Abdulah R, Chaidir L. Omics Biomarkers for Monitoring Tuberculosis Treatment: A Mini-Review of Recent Insights and Future Approaches. Infect Drug Resist 2022; 15:2703-2711. [PMID: 35664683 PMCID: PMC9160605 DOI: 10.2147/idr.s366580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 05/20/2022] [Indexed: 11/23/2022] Open
Abstract
Poor sensitivity of sputum conversion for monitoring tuberculosis (TB) treatment that makes identification of a non-sputum-based biomarker is urgently needed. Monitoring biomarkers in TB treatment is used to decide whether critical thresholds have been reached and helps clinicians to conclude the therapeutic success. In this mini review, we highlight recent studies on omics-related contributes to identifying of a novel biomarker as surrogate markers for the cure and predicting future reactivation risk following TB treatment. We catalogue the studies published to seek the progress made in transcriptomics, proteomics, and metabolomics in pulmonary TB. We also discuss how integrative multi-omics data will provide further understanding and effective TB treatment, such as revealing the interrelationships at multiple molecular levels, facilitating the identification of biologically interconnected processes, and accelerating precision medicine in TB treatment. However, proper validation in prospective longitudinal studies with long-term follow-up and outcome assessment must be conducted before the biomarkers are utilized in clinical practice.
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Affiliation(s)
- Dian Ayu Eka Pitaloka
- Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Sumedang, West Java, 45363, Indonesia
- Center for Translational Biomarker Research, Universitas Padjadjaran, Bandung, West Java, 40132, Indonesia
| | - Mas Rizky Anggun A A Syamsunarno
- Center for Translational Biomarker Research, Universitas Padjadjaran, Bandung, West Java, 40132, Indonesia
- Department of Biomedical Sciences, Faculty of Medicine, Universitas Padjadjaran, Sumedang, West Java, 45363, Indonesia
| | - Rizky Abdulah
- Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Sumedang, West Java, 45363, Indonesia
- Center of Excellence in Higher Education for Pharmaceutical Care Innovation, Universitas Padjadjaran, Sumedang, West Java, 45363, Indonesia
| | - Lidya Chaidir
- Center for Translational Biomarker Research, Universitas Padjadjaran, Bandung, West Java, 40132, Indonesia
- Department of Biomedical Sciences, Faculty of Medicine, Universitas Padjadjaran, Sumedang, West Java, 45363, Indonesia
- Correspondence: Lidya Chaidir, Department of Biomedical Sciences, Faculty of Medicine, Universitas Padjadjaran, Sumedang, West Java, 45363, Indonesia, Tel +62-22-84288812, Email
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Siddhi P, Raveendranath R, Pulgari P, Chinnaswamy A, Song R, Welch S. A systematic review on Correlates of Risk of TB disease in children and adults. Indian J Tuberc 2022; 70:197-213. [PMID: 37100577 DOI: 10.1016/j.ijtb.2022.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 05/16/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Tuberculosis (TB) remains one of the leading causes of death in the world. Targeted treatment to prevent progression from TB exposure and infection to disease is a key element of WHO End-TB strategy. A systematic review to identify and develop correlates of risk (COR) of TB disease is timely. METHOD EMBASE, MEDLINE, PUBMED were searched using relevant keywords and MeSH terms published between 2000 and 2020 on COR of TB disease in children and adults. Preferred Reporting Items for Systematic reviews and Meta-analysis (PRISMA) framework was used for structuring and reporting of outcomes. Risk of bias was assessed using Quality Assessment of Diagnostic Accuracy Studies tool-2 (QUADAS-2). RESULTS 4105 studies were identified. Following eligibility screening, 27 studies were quality assessed. Risk of bias was high in all studies. Broad variations in COR type, study population, methodology and result reporting were observed. Tuberculin skin test (TST) and interferon gamma release essays (IGRA) are poor COR. Transcriptomic signatures although promising require validation studies to assess wider applicability. Performance consistency of other CORs-cell marker, cytokines and metabolites are much needed. CONCLUSION This review identifies the need for a standardized approach to identify a universally applicable COR signature to achieve the WHO END-TB targets.
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Hong JM, Lee H, Menon NV, Lim CT, Lee LP, Ong CWM. Point-of-care diagnostic tests for tuberculosis disease. Sci Transl Med 2022; 14:eabj4124. [PMID: 35385338 DOI: 10.1126/scitranslmed.abj4124] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Rapid diagnosis is one key pillar to end tuberculosis (TB). Point-of-care tests (POCTs) facilitate early detection, immediate treatment, and reduced transmission of TB disease. This Review evaluates current diagnostic assays endorsed by the World Health Organization and identifies the gaps between existing conventional tests and the ideal POCT. We discuss the commercial development of new rapid tests and research studies on nonsputum-based diagnostic biomarkers from both pathogen and host. Last, we highlight advances in integrated microfluidics technology that may aid the development of new POCTs.
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Affiliation(s)
- Jia Mei Hong
- Infectious Diseases Translational Research Programme, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117599, Singapore
| | - Hyeyoung Lee
- Infectious Diseases Translational Research Programme, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117599, Singapore
| | - Nishanth V Menon
- Department of Biomedical Engineering, National University of Singapore, Singapore 117583, Singapore
| | - Chwee Teck Lim
- Department of Biomedical Engineering, National University of Singapore, Singapore 117583, Singapore.,Institute for Health Innovation & Technology (iHealthtech), National University of Singapore, Singapore 117599, Singapore.,Mechanobiology Institute, National University of Singapore, Singapore 117411, Singapore
| | - Luke P Lee
- Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA.,Berkeley Sensor and Actuator Center, University of California, Berkeley, Berkeley, CA 94720-1764, USA.,Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA 94720, USA.,Biophysics Graduate Program, University of California, Berkeley, Berkeley, CA 94720, USA.,Harvard Medical School, Brigham and Women's Hospital, Harvard Institute of Medicine, Harvard University, Boston, MA 02115, USA.,Institute of Quantum Biophysics, Department of Biophysics, Sungkyunkwan University, Suwon, Korea
| | - Catherine W M Ong
- Infectious Diseases Translational Research Programme, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117599, Singapore.,Institute for Health Innovation & Technology (iHealthtech), National University of Singapore, Singapore 117599, Singapore
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Integrating central nervous system metagenomics and host response for diagnosis of tuberculosis meningitis and its mimics. Nat Commun 2022; 13:1675. [PMID: 35354815 PMCID: PMC8967864 DOI: 10.1038/s41467-022-29353-x] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 03/11/2022] [Indexed: 12/13/2022] Open
Abstract
The epidemiology of infectious causes of meningitis in sub-Saharan Africa is not well understood, and a common cause of meningitis in this region, Mycobacterium tuberculosis (TB), is notoriously hard to diagnose. Here we show that integrating cerebrospinal fluid (CSF) metagenomic next-generation sequencing (mNGS) with a host gene expression-based machine learning classifier (MLC) enhances diagnostic accuracy for TB meningitis (TBM) and its mimics. 368 HIV-infected Ugandan adults with subacute meningitis were prospectively enrolled. Total RNA and DNA CSF mNGS libraries were sequenced to identify meningitis pathogens. In parallel, a CSF host transcriptomic MLC to distinguish between TBM and other infections was trained and then evaluated in a blinded fashion on an independent dataset. mNGS identifies an array of infectious TBM mimics (and co-infections), including emerging, treatable, and vaccine-preventable pathogens including Wesselsbron virus, Toxoplasma gondii, Streptococcus pneumoniae, Nocardia brasiliensis, measles virus and cytomegalovirus. By leveraging the specificity of mNGS and the sensitivity of an MLC created from CSF host transcriptomes, the combined assay has high sensitivity (88.9%) and specificity (86.7%) for the detection of TBM and its many mimics. Furthermore, we achieve comparable combined assay performance at sequencing depths more amenable to performing diagnostic mNGS in low resource settings. Tuberculous meningitis is difficult to differentiate from meningitis caused by other pathogens. Here, the authors combine metagenomics-based pathogen detection in cerebrospinal fluid with a host gene expression-based machine learning classifier for diagnosis.
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Natarajan S, Ranganathan M, Hanna LE, Tripathy S. Transcriptional Profiling and Deriving a Seven-Gene Signature That Discriminates Active and Latent Tuberculosis: An Integrative Bioinformatics Approach. Genes (Basel) 2022; 13:genes13040616. [PMID: 35456421 PMCID: PMC9032611 DOI: 10.3390/genes13040616] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 03/09/2022] [Accepted: 03/17/2022] [Indexed: 12/10/2022] Open
Abstract
Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis (M.tb.). Our integrative analysis aims to identify the transcriptional profiling and gene expression signature that distinguish individuals with active TB (ATB) disease, and those with latent tuberculosis infection (LTBI). In the present study, we reanalyzed a microarray dataset (GSE37250) from GEO database and explored the data for differential gene expression analysis between those with ATB and LTBI derived from Malawi and South African cohorts. We used BRB array tool to distinguish DEGs (differentially expressed genes) between ATB and LTBI. Pathway enrichment analysis of DEGs was performed using DAVID bioinformatics tool. The protein–protein interaction (PPI) network of most upregulated genes was constructed using STRING analysis. We have identified 375 upregulated genes and 152 downregulated genes differentially expressed between ATB and LTBI samples commonly shared among Malawi and South African cohorts. The constructed PPI network was significantly enriched with 76 nodes connected to 151 edges. The enriched GO term/pathways were mainly related to expression of IFN stimulated genes, interleukin-1 production, and NOD-like receptor signaling pathway. Downregulated genes were significantly enriched in the Wnt signaling, B cell development, and B cell receptor signaling pathways. The short-listed DEGs were validated in a microarray data from an independent cohort (GSE19491). ROC curve analysis was done to assess the diagnostic accuracy of the gene signature in discrimination of active and latent tuberculosis. Thus, we have derived a seven-gene signature, which included five upregulated genes FCGR1B, ANKRD22, CARD17, IFITM3, TNFAIP6 and two downregulated genes FCGBP and KLF12, as a biomarker for discrimination of active and latent tuberculosis. The identified genes have a sensitivity of 80–100% and specificity of 80–95%. Area under the curve (AUC) value of the genes ranged from 0.84 to 1. This seven-gene signature has a high diagnostic accuracy in discrimination of active and latent tuberculosis.
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Affiliation(s)
- Sudhakar Natarajan
- Department of Virology and Biotechnology, ICMR–National Institute for Research in Tuberculosis (NIRT), Chetpet, Chennai 600031, India; (M.R.); (L.E.H.); (S.T.)
- Correspondence: ; Tel.: +91-44-2836-9586
| | - Mohan Ranganathan
- Department of Virology and Biotechnology, ICMR–National Institute for Research in Tuberculosis (NIRT), Chetpet, Chennai 600031, India; (M.R.); (L.E.H.); (S.T.)
| | - Luke Elizabeth Hanna
- Department of Virology and Biotechnology, ICMR–National Institute for Research in Tuberculosis (NIRT), Chetpet, Chennai 600031, India; (M.R.); (L.E.H.); (S.T.)
| | - Srikanth Tripathy
- Department of Virology and Biotechnology, ICMR–National Institute for Research in Tuberculosis (NIRT), Chetpet, Chennai 600031, India; (M.R.); (L.E.H.); (S.T.)
- Dr. DY Patil Medical College, Hospital and Research Centre, Pimpri, Pune 411018, India
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Carpenter SM, Lu LL. Leveraging Antibody, B Cell and Fc Receptor Interactions to Understand Heterogeneous Immune Responses in Tuberculosis. Front Immunol 2022; 13:830482. [PMID: 35371092 PMCID: PMC8968866 DOI: 10.3389/fimmu.2022.830482] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 02/07/2022] [Indexed: 12/25/2022] Open
Abstract
Despite over a century of research, Mycobacterium tuberculosis (Mtb), the causative agent of tuberculosis (TB), continues to kill 1.5 million people annually. Though less than 10% of infected individuals develop active disease, the specific host immune responses that lead to Mtb transmission and death, as well as those that are protective, are not yet fully defined. Recent immune correlative studies demonstrate that the spectrum of infection and disease is more heterogenous than has been classically defined. Moreover, emerging translational and animal model data attribute a diverse immune repertoire to TB outcomes. Thus, protective and detrimental immune responses to Mtb likely encompass a framework that is broader than T helper type 1 (Th1) immunity. Antibodies, Fc receptor interactions and B cells are underexplored host responses to Mtb. Poised at the interface of initial bacterial host interactions and in granulomatous lesions, antibodies and Fc receptors expressed on macrophages, neutrophils, dendritic cells, natural killer cells, T and B cells have the potential to influence local and systemic adaptive immune responses. Broadening the paradigm of protective immunity will offer new paths to improve diagnostics and vaccines to reduce the morbidity and mortality of TB.
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Affiliation(s)
- Stephen M. Carpenter
- Division of Infectious Disease and HIV Medicine, Department of Medicine, Case Western Reserve University, Cleveland, OH, United States
- Cleveland Medical Center, University Hospitals Cleveland Medical Center, Cleveland, OH, United States
| | - Lenette L. Lu
- Division of Geographic Medicine and Infectious Diseases, Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, United States
- Department of Immunology, UT Southwestern Medical Center, Dallas, TX, United States
- Parkland Health and Hospital System, Dallas, TX, United States
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Atallah J, Mansour MK. Implications of Using Host Response-Based Molecular Diagnostics on the Management of Bacterial and Viral Infections: A Review. Front Med (Lausanne) 2022; 9:805107. [PMID: 35186993 PMCID: PMC8850635 DOI: 10.3389/fmed.2022.805107] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 01/03/2022] [Indexed: 12/15/2022] Open
Abstract
Host-based diagnostics are a rapidly evolving field that may serve as an alternative to traditional pathogen-based diagnostics for infectious diseases. Understanding the exact mechanisms underlying a host-immune response and deriving specific host-response signatures, biomarkers and gene transcripts will potentially achieve improved diagnostics that will ultimately translate to better patient outcomes. Several studies have focused on novel techniques and assays focused on immunodiagnostics. In this review, we will highlight recent publications on the current use of host-based diagnostics alone or in combination with traditional microbiological assays and their potential future implications on the diagnosis and prognostic accuracy for the patient with infectious complications. Finally, we will address the cost-effectiveness implications from a healthcare and public health perspective.
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Affiliation(s)
- Johnny Atallah
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, United States.,Department of Medicine, Harvard Medical School, Boston, MA, United States
| | - Michael K Mansour
- Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, United States.,Department of Medicine, Harvard Medical School, Boston, MA, United States
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Thakur C, Tripathi A, Ravichandran S, Shivananjaiah A, Chakraborty A, Varadappa S, Chikkavenkatappa N, Nagarajan D, Lakshminarasimhaiah S, Singh A, Chandra N. A new blood-based RNA signature (R 9), for monitoring effectiveness of tuberculosis treatment in a South Indian longitudinal cohort. iScience 2022; 25:103745. [PMID: 35118358 PMCID: PMC8800112 DOI: 10.1016/j.isci.2022.103745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2020] [Revised: 03/31/2021] [Accepted: 01/06/2022] [Indexed: 11/17/2022] Open
Abstract
Tuberculosis (TB) treatment involves a multidrug regimen for six months, and until two months, it is unclear if treatment is effective. This delay can lead to the evolution of drug resistance, lung damage, disease spread, and transmission. We identify a blood-based 9-gene signature using a computational pipeline that constructs and interrogates a genome-wide transcriptome-integrated protein-interaction network. The identified signature is able to determine treatment response at week 1-2 in three independent public datasets. Signature-based R9-score correctly detected treatment response at individual timepoints (204 samples) from a newly developed South Indian longitudinal cohort involving 32 patients with pulmonary TB. These results are consistent with conventional clinical metrics and can discriminate good from poor treatment responders at week 2 (AUC 0.93(0.81-1.00)). In this work, we provide proof of concept that the R9-score can determine treatment effectiveness, making a case for designing a larger clinical study.
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Affiliation(s)
- Chandrani Thakur
- Department of Biochemistry, Indian Institute of Science, Bangalore, India
| | - Ashutosh Tripathi
- Department of Microbiology and Cell Biology, Indian Institute of Science, Bangalore, India
- Centre for Infectious Disease Research, Indian Institute of Science, Bangalore, India
| | | | - Akshatha Shivananjaiah
- SDS Tuberculosis Research Centre and Rajiv Gandhi Institute of Chest Diseases, Bangalore, India
| | - Anushree Chakraborty
- SDS Tuberculosis Research Centre and Rajiv Gandhi Institute of Chest Diseases, Bangalore, India
| | - Sreekala Varadappa
- SDS Tuberculosis Research Centre and Rajiv Gandhi Institute of Chest Diseases, Bangalore, India
| | | | - Deepesh Nagarajan
- Department of Biochemistry, Indian Institute of Science, Bangalore, India
| | | | - Amit Singh
- Department of Microbiology and Cell Biology, Indian Institute of Science, Bangalore, India
- Centre for Infectious Disease Research, Indian Institute of Science, Bangalore, India
| | - Nagasuma Chandra
- Department of Biochemistry, Indian Institute of Science, Bangalore, India
- National Mathematics Initiative, Indian Institute of Science, Bangalore, India
- Centre for Biosystems Science and Engineering, Indian Institute of Science, Bangalore, India
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Hasin-Brumshtein Y, Sakaram S, Khatri P, He YD, Sweeney TE. A robust gene expression signature for NASH in liver expression data. Sci Rep 2022; 12:2571. [PMID: 35173224 PMCID: PMC8850484 DOI: 10.1038/s41598-022-06512-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 01/31/2022] [Indexed: 02/06/2023] Open
Abstract
Non-Alcoholic Fatty Liver Disease (NAFLD) is a progressive liver disease that affects up to 30% of worldwide population, of which up to 25% progress to Non-Alcoholic SteatoHepatitis (NASH), a severe form of the disease that involves inflammation and predisposes the patient to liver cirrhosis. Despite its epidemic proportions, there is no reliable diagnostics that generalizes to global patient population for distinguishing NASH from NAFLD. We performed a comprehensive multicohort analysis of publicly available transcriptome data of liver biopsies from Healthy Controls (HC), NAFLD and NASH patients. Altogether we analyzed 812 samples from 12 different datasets across 7 countries, encompassing real world patient heterogeneity. We used 7 datasets for discovery and 5 datasets were held-out for independent validation. Altogether we identified 130 genes significantly differentially expressed in NASH versus a mixed group of NAFLD and HC. We show that our signature is not driven by one particular group (NAFLD or HC) and reflects true biological signal. Using a forward search we were able to downselect to a parsimonious set of 19 mRNA signature with mean AUROC of 0.98 in discovery and 0.79 in independent validation. Methods for consistent diagnosis of NASH relative to NAFLD are urgently needed. We showed that gene expression data combined with advanced statistical methodology holds the potential to serve basis for development of such diagnostic tests for the unmet clinical need.
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Affiliation(s)
| | - Suraj Sakaram
- Inflammatix, Inc., 863 Mitten Rd, Suite 104, Burlingame, CA, 94010, USA
| | - Purvesh Khatri
- Institute for Immunity, Transplantation and Infection, School of Medicine, Stanford University, Palo Alto, CA, 94305, USA.,Department of Medicine, Center for Biomedical Informatics Research, Stanford University, Stanford, CA, 94305, USA
| | - Yudong D He
- Inflammatix, Inc., 863 Mitten Rd, Suite 104, Burlingame, CA, 94010, USA.
| | - Timothy E Sweeney
- Inflammatix, Inc., 863 Mitten Rd, Suite 104, Burlingame, CA, 94010, USA.
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Singer SN, Ndumnego OC, Kim RS, Ndung'u T, Anastos K, French A, Churchyard G, Paramithiothis E, Kasprowicz VO, Achkar JM. Plasma host protein biomarkers correlating with increasing Mycobacterium tuberculosis infection activity prior to tuberculosis diagnosis in people living with HIV. EBioMedicine 2022; 75:103787. [PMID: 34968761 PMCID: PMC8718743 DOI: 10.1016/j.ebiom.2021.103787] [Citation(s) in RCA: 12] [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: 05/31/2021] [Revised: 11/30/2021] [Accepted: 12/14/2021] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND Biomarkers correlating with Mycobacterium tuberculosis infection activity/burden in asymptomatic individuals are urgently needed to identify and treat those at highest risk for developing active tuberculosis (TB). Our main objective was to identify plasma host protein biomarkers that change over time prior to developing TB in people living with HIV (PLHIV). METHODS Using multiplex MRM-MS, we investigated host protein expressions from 2 years before until time of TB diagnosis in longitudinally collected (every 3-6 months) and stored plasma from PLHIV with incident TB, identified within a South African (SA) and US cohort. We performed temporal trend and discriminant analyses for proteins, and, to assure clinical relevance, we further compared protein levels at TB diagnosis to interferon-gamma release assay (IGRA; SA) or tuberculin-skin test (TST; US) positive and negative cohort subjects without TB. SA and US exploratory data were analyzed separately. FINDINGS We identified 15 proteins in the SA (n=30) and 10 in the US (n=24) incident TB subjects which both changed from 2 years prior until time of TB diagnosis after controlling for 10% false discovery rate, and were significantly different at time of TB diagnosis compared to non-TB subjects (p<0.01). Five proteins, CD14, A2GL, NID1, SCTM1, and A1AG1, overlapped between both cohorts. Furthermore, after cross-validation, panels of 5 - 12 proteins were able to predict TB up to two years before diagnosis. INTERPRETATION Host proteins can be biomarkers for increasing Mycobacterium tuberculosis infection activity/burden, incipient TB, and predict TB development in PLHIV. FUNDING NIH/NIAID AI117927, AI146329, and AI127173 to JMA.
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Affiliation(s)
- Sarah N Singer
- Departments of Medicine, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | | | - Ryung S Kim
- Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Thumbi Ndung'u
- Africa Health Research Institute, Durban 4013, South Africa; HIV Pathogenesis Programme, Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa; Ragon Institute of MGH, MIT and Harvard University, Cambridge, MA, USA; Max Planck Institute of Infection Biology, Berlin, Germany; Division of Infection and Immunity, University College London, London, UK
| | - Kathryn Anastos
- Departments of Medicine, Albert Einstein College of Medicine, Bronx, NY 10461, USA; Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | - Audrey French
- Department of Medicine, Stroger Hospital of Cook County, Chicago, IL, USA
| | - Gavin Churchyard
- Aurum Institute, Johannesburg, South Africa; School of Public Health, University of Witwatersrand, Johannesburg, South Africa; Department of Medicine, Vanderbilt University, Nashville, TN, USA
| | - Eustache Paramithiothis
- CellCarta Biosciences Inc, 201 President-Kennedy Ave., Suite 3900 Montreal, H2×3Y7, Quebec, Canada
| | - Victoria O Kasprowicz
- Africa Health Research Institute, Durban 4013, South Africa; HIV Pathogenesis Programme, Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa; Ragon Institute of MGH, MIT and Harvard University, Cambridge, MA, USA
| | - Jacqueline M Achkar
- Departments of Medicine, Albert Einstein College of Medicine, Bronx, NY 10461, USA; Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
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Biomarkers that correlate with active pulmonary tuberculosis treatment response: a systematic review and meta-analysis. J Clin Microbiol 2021; 60:e0185921. [PMID: 34911364 PMCID: PMC8849205 DOI: 10.1128/jcm.01859-21] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Current WHO recommendations for monitoring treatment response in adult pulmonary tuberculosis (TB) are sputum smear microscopy and/or culture conversion at the end of the intensive phase of treatment. These methods either have suboptimal accuracy or a long turnaround time. There is a need to identify alternative biomarkers to monitor TB treatment response. We conducted a systematic review of active pulmonary TB treatment monitoring biomarkers. We screened 9,739 articles published between 1 January 2008 and 31 December 2020, of which 77 met the inclusion criteria. When studies quantitatively reported biomarker levels, we meta-analyzed the average fold change in biomarkers from pretreatment to week 8 of treatment. We also performed a meta-analysis pooling the fold change since the previous time point collected. A total of 81 biomarkers were identified from 77 studies. Overall, these studies exhibited extensive heterogeneity with regard to TB treatment monitoring study design and data reporting. Among the biomarkers identified, C-reactive protein (CRP), interleukin-6 (IL-6), interferon gamma-induced protein 10 (IP-10), and tumor necrosis factor alpha (TNF-α) had sufficient data to analyze fold changes. All four biomarker levels decreased during the first 8 weeks of treatment relative to baseline and relative to previous time points collected. Based on limited data available, CRP, IL-6, IP-10, and TNF-α have been identified as biomarkers that should be further explored in the context of TB treatment monitoring. The extensive heterogeneity in TB treatment monitoring study design and reporting is a major barrier to evaluating the performance of novel biomarkers and tools for this use case. Guidance for designing and reporting treatment monitoring studies is urgently needed.
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Wykowski JH, Phillips C, Ngo T, Drain PK. A systematic review of potential screening biomarkers for active TB disease. J Clin Tuberc Other Mycobact Dis 2021; 25:100284. [PMID: 34805557 PMCID: PMC8590066 DOI: 10.1016/j.jctube.2021.100284] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
INTRODUCTION The standard TB Four Symptom Screen does not meet the World Health Organization (WHO) ideal screening criteria for having greater than 90% sensitivity to identify active TB disease, regardless of HIV status. To identify novel screening biomarkers for active TB, we performed a systematic review of any cohort or case-control study reporting associations between screening biomarkers and active TB disease. METHODS We searched PubMed and Embase for articles published before October 10, 2021. We included studies from high or medium tuberculosis burden countries. We excluded articles focusing on C-reactive protein and lipoarabinomannan. For all included biomarkers, we calculated sensitivity, specificity and 95% confidence intervals, and assessed study quality using a tool adapted from the QUADAS-2 risk of bias. RESULTS From 8,062 abstracts screened, we included 79 articles. The articles described 302 unique biomarkers, including host antibodies, host proteins, TB antigens, microRNAs, whole blood gene PCRs, and combinations of biomarkers. Of these, 23 biomarkers had sensitivity greater than 90% and specificity greater than 70%, meeting WHO criteria for an ideal screening test. Among the eleven biomarkers described in people living with HIV, only one had a sensitivity greater than 90% and specificity greater than 70% for active TB. CONCLUSION Further evaluation of biomarkers of active TB should be pursued to accelerate identification of TB disease.
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Affiliation(s)
- James H. Wykowski
- Department of Medicine, 925 9 Ave Seattle, WA 98104, University of Washington, Seattle, USA
| | - Chris Phillips
- Department of Global Health, 925 9 Ave Seattle, WA 98104, University of Washington, Seattle, USA
| | - Thao Ngo
- Department of Global Health, 925 9 Ave Seattle, WA 98104, University of Washington, Seattle, USA
| | - Paul K. Drain
- Department of Medicine, 925 9 Ave Seattle, WA 98104, University of Washington, Seattle, USA
- Department of Global Health, 925 9 Ave Seattle, WA 98104, University of Washington, Seattle, USA
- Department of Epidemiology, 925 9 Ave Seattle, WA 98104, University of Washington, Seattle, USA
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46
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Burel JG, Singhania A, Dubelko P, Muller J, Tanner R, Parizotto E, Dedicoat M, Fletcher TE, Dunbar J, Cunningham AF, Lindestam Arlehamn CS, Catanzaro DG, Catanzaro A, Rodwell T, McShane H, O'Shea MK, Peters B. Distinct blood transcriptomic signature of treatment in latent tuberculosis infected individuals at risk of developing active disease. Tuberculosis (Edinb) 2021; 131:102127. [PMID: 34555657 DOI: 10.1016/j.tube.2021.102127] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 07/28/2021] [Accepted: 09/09/2021] [Indexed: 01/12/2023]
Abstract
Although only a small fraction will ever develop the active form of tuberculosis (ATB) disease, chemoprophylaxis treatment in latent TB infected (LTBI) individuals is an effective strategy to control pathogen transmission. Characterizing immune responses in LTBI upon chemoprophylactic treatment is important to facilitate treatment monitoring, and thus improve TB control strategies. Here, we studied changes in the blood transcriptome in a cohort of 42 LTBI and 8 ATB participants who received anti-TB therapy. Based on the expression of previously published gene signatures of progression to ATB, we stratified the LTBI cohort in two groups and examined if individuals deemed to be at elevated risk of developing ATB before treatment (LTBI-Risk) differed from others (LTBI-Other). We found that LTBI-Risk and LTBI-Other groups were associated with two distinct transcriptomic treatment signatures, with the LTBI-Risk signature resembling that of treated ATB patients. Notably, overlapping genes between LTBI-Risk and ATB treatment signatures were associated with risk of progression to ATB and interferon (IFN) signaling, and were selectively downregulated upon treatment in the LTBI-Risk but not the LTBI-Other group. Our results suggest that transcriptomic reprogramming following treatment of LTBI is heterogeneous and can be used to distinguish LTBI-Risk individuals from the LTBI cohort at large.
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Affiliation(s)
- Julie G Burel
- Vaccine Discovery Division, La Jolla Institute for Immunology, La Jolla, CA, USA
| | - Akul Singhania
- Vaccine Discovery Division, La Jolla Institute for Immunology, La Jolla, CA, USA
| | - Paige Dubelko
- Vaccine Discovery Division, La Jolla Institute for Immunology, La Jolla, CA, USA
| | - Julius Muller
- The Jenner Institute, University of Oxford, Oxford, UK
| | - Rachel Tanner
- The Jenner Institute, University of Oxford, Oxford, UK
| | | | - Martin Dedicoat
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Thomas E Fletcher
- Royal Centre for Defence Medicine, Joint Medical Command, Birmingham, UK; Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
| | - James Dunbar
- Department of Infectious Diseases, The Friarage Hospital, Northallerton, UK
| | - Adam F Cunningham
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | | | | | | | - Timothy Rodwell
- Department of Medicine, University of California San Diego, CA, USA
| | - Helen McShane
- The Jenner Institute, University of Oxford, Oxford, UK
| | - Matthew K O'Shea
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK; Royal Centre for Defence Medicine, Joint Medical Command, Birmingham, UK; Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK.
| | - Bjoern Peters
- Vaccine Discovery Division, La Jolla Institute for Immunology, La Jolla, CA, USA; Department of Medicine, University of California San Diego, CA, USA.
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47
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Sun L, Qi X, Guo Y, Qi H, Li J, Wu X, Yin Q, Guo Y, Xu B, Wang Y, Jin Q, Gao L, Shen A. Tuberculosis infection screening in children with close contact: a hospital-based study. BMC Infect Dis 2021; 21:815. [PMID: 34388985 PMCID: PMC8364055 DOI: 10.1186/s12879-021-06480-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 07/21/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Identifying and prioritizing at-risk populations is critical for pediatric tuberculosis control. We aimed to identify a latent tuberculosis infection (LTBI) screening strategy that is appropriate for the Chinese context among children with different TB exposure levels and to explore its clinical importance. METHODS During 2013-2015, we enrolled hospitalized children with suspected respiratory infectious disease (RID) for LTBI screening using the tuberculin skin test (TST) and interferon-γ release assay (IGRA) T-SPOT.TB as part of a work up for their RID. Participants with confirmed diagnosis were classified into three subgroups according to level of exposure to TB: no reported contact risk, with household contact risk, and with non-household contact risk. RESULTS A total 6202 children (median age: 4.76 years; interquartile range: 1.0-8.0 years) were enrolled. Children with no reported contact risk had the lowest proportions of positive results for the IGRA (0.7%) and TST (3.3%). The proportion of positive results for each test was higher for household contacts than non-household contacts. The TST positive proportion was much higher than that for the IGRA in all three groups. Children with IGRA+/TST+ results had larger indurations than those with IGRA- /TST+ results (15 mm vs. 13 mm, P = 0.02). For IGRA, older age (> 5 years) and non-household or household contact risk were associated with a positive result. CONCLUSIONS Positive IGRA results in children with a contact risk can serve as a critical reference for LTBI management. IGRA can be used, in preference to TST, for Chinese children with a TB exposure risk.
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Affiliation(s)
- Lin Sun
- National Clinical Research Center for Respiratory Diseases, National Key Discipline of Pediatrics, Capital Medical University, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Xue Qi
- National Clinical Research Center for Respiratory Diseases, National Key Discipline of Pediatrics, Capital Medical University, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.,Department of Respiratory, Qilu Children's Hospital of Shandong University, Jinan, China
| | - Yajie Guo
- National Clinical Research Center for Respiratory Diseases, National Key Discipline of Pediatrics, Capital Medical University, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Hui Qi
- National Clinical Research Center for Respiratory Diseases, National Key Discipline of Pediatrics, Capital Medical University, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Jieqiong Li
- National Clinical Research Center for Respiratory Diseases, National Key Discipline of Pediatrics, Capital Medical University, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Xirong Wu
- National Clinical Research Center for Respiratory Diseases, National Key Discipline of Pediatrics, Capital Medical University, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Qingqin Yin
- National Clinical Research Center for Respiratory Diseases, National Key Discipline of Pediatrics, Capital Medical University, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Yan Guo
- National Clinical Research Center for Respiratory Diseases, National Key Discipline of Pediatrics, Capital Medical University, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Baoping Xu
- National Clinical Research Center for Respiratory Diseases, National Key Discipline of Pediatrics, Capital Medical University, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Yacui Wang
- National Clinical Research Center for Respiratory Diseases, National Key Discipline of Pediatrics, Capital Medical University, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Qi Jin
- MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Centre for Tuberculosis, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lei Gao
- MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, and Centre for Tuberculosis, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Adong Shen
- National Clinical Research Center for Respiratory Diseases, National Key Discipline of Pediatrics, Capital Medical University, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
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48
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Mendelsohn SC, Mulenga H, Mbandi SK, Darboe F, Shelton M, Scriba TJ, Hatherill M. Host blood transcriptomic biomarkers of tuberculosis disease in people living with HIV: a systematic review protocol. BMJ Open 2021; 11:e048623. [PMID: 34353800 PMCID: PMC8344288 DOI: 10.1136/bmjopen-2021-048623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
INTRODUCTION Current tuberculosis triage and predictive tools offer poor accuracy and are ineffective for detecting asymptomatic disease in people living with HIV (PLHIV). Host tuberculosis transcriptomic biomarkers hold promise for diagnosing prevalent and predicting progression to incident tuberculosis and guiding further investigation, preventive therapy and follow-up. We aim to conduct a systematic review of performance of transcriptomic signatures of tuberculosis in PLHIV. METHODS AND ANALYSIS We will search MEDLINE (PubMed), WOS Core Collection, Biological Abstracts, and SciELO Citation Index (Web of Science), Africa-Wide Information and General Science Abstracts (EBSCOhost), Scopus, and Cochrane Central Register of Controlled Trials databases for articles published in English between 1990 and 2020. Case-control, cross-sectional, cohort and randomised controlled studies evaluating performance of diagnostic and prognostic host-response transcriptomic signatures in PLHIV of all ages and settings will be included. Eligible studies will include PLHIV in signature test or validation cohorts, and use microbiological, clinical, or composite reference standards for pulmonary or extrapulmonary tuberculosis diagnosis. Study quality will be evaluated using the 'Quality Assessment of Diagnostic Accuracy Studies-2' tool and cumulative review evidence assessed using the 'Grading of Recommendations Assessment, Development and Evaluation' approach. Study selection, quality appraisal and data extraction will be performed independently by two reviewers. Study, cohort and signature characteristics of included studies will be tabulated, and a narrative synthesis of findings presented. Primary outcomes of interest, biomarker sensitivity and specificity with estimate precision, will be summarised in forest plots. Expected heterogeneity in signature characteristics, study settings, and study designs precludes meta-analysis and pooling of results. Review reporting will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses of Diagnostic Test Accuracy Studies guidelines. ETHICS AND DISSEMINATION Formal ethics approval is not required as primary human participant data will not be collected. Results will be disseminated through peer-reviewed publication and conference presentation. PROSPERO REGISTRATION NUMBER CRD42021224155.
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Affiliation(s)
- 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 Faculty of Health Sciences, Cape Town, Western Cape, South Africa
| | - Humphrey Mulenga
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town Faculty of Health Sciences, Cape Town, Western Cape, 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 Faculty of Health Sciences, Cape Town, Western Cape, South Africa
| | - Fatoumatta Darboe
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town Faculty of Health Sciences, Cape Town, Western Cape, South Africa
| | - Mary Shelton
- Bongani Mayosi Health Sciences Library, University of Cape Town, Cape Town, Western Cape, 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 Faculty of Health Sciences, Cape Town, Western Cape, South Africa
| | - Mark Hatherill
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town Faculty of Health Sciences, Cape Town, Western Cape, South Africa
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49
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Bayaa R, Ndiaye MDB, Chedid C, Kokhreidze E, Tukvadze N, Banu S, Uddin MKM, Biswas S, Nasrin R, Ranaivomanana P, Raherinandrasana AH, Rakotonirina J, Rasolofo V, Delogu G, De Maio F, Goletti D, Endtz H, Ader F, Hamze M, Ismail MB, Pouzol S, Rakotosamimanana N, Hoffmann J. Multi-country evaluation of RISK6, a 6-gene blood transcriptomic signature, for tuberculosis diagnosis and treatment monitoring. Sci Rep 2021; 11:13646. [PMID: 34211042 PMCID: PMC8249600 DOI: 10.1038/s41598-021-93059-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 06/21/2021] [Indexed: 12/31/2022] Open
Abstract
There is a crucial need for non-sputum-based TB tests. Here, we evaluate the performance of RISK6, a human-blood transcriptomic signature, for TB screening, triage and treatment monitoring. RISK6 performance was also compared to that of two IGRAs: one based on RD1 antigens (QuantiFERON-TB Gold Plus, QFT-P, Qiagen) and one on recombinant M. tuberculosis HBHA expressed in Mycobacterium smegmatis (IGRA-rmsHBHA). In this multicenter prospective nested case-control study conducted in Bangladesh, Georgia, Lebanon and Madagascar, adult non-immunocompromised patients with bacteriologically confirmed active pulmonary TB (ATB), latent TB infection (LTBI) and healthy donors (HD) were enrolled. ATB patients were followed-up during and after treatment. Blood RISK6 scores were assessed using quantitative real-time PCR and evaluated by area under the receiver-operating characteristic curve (ROC AUC). RISK6 performance to discriminate ATB from HD reached an AUC of 0.94 (95% CI 0.89-0.99), with 90.9% sensitivity and 87.8% specificity, thus achieving the minimal WHO target product profile for a non-sputum-based TB screening test. Besides, RISK6 yielded an AUC of 0.93 (95% CI 0.85-1) with 90.9% sensitivity and 88.5% specificity for discriminating ATB from LTBI. Moreover, RISK6 showed higher performance (AUC 0.90, 95% CI 0.85-0.94) than IGRA-rmsHBHA (AUC 0.75, 95% CI 0.69-0.82) to differentiate TB infection stages. Finally, RISK6 signature scores significantly decreased after 2 months of TB treatment and continued to decrease gradually until the end of treatment reaching scores obtained in HD. We confirmed the performance of RISK6 signature as a triage TB test and its utility for treatment monitoring.
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Affiliation(s)
- Rim Bayaa
- Medical and Scientific Department, Fondation Mérieux, Lyon, France. .,Laboratoire Microbiologie, Santé et Environnement (LMSE), Doctoral School of Sciences and Technology, Faculty of Public Health, Lebanese University, Tripoli, Lebanon.
| | - Mame Diarra Bousso Ndiaye
- Medical and Scientific Department, Fondation Mérieux, Lyon, France.,Institut Pasteur de Madagascar, Antananarivo, Madagascar
| | - Carole Chedid
- Medical and Scientific Department, Fondation Mérieux, Lyon, France.,Department of Biology, Ecole Normale Supérieure de Lyon, Lyon, France.,Equipe Pathogénèse des Légionelles, International Center for Research in Infectiology, INSERM U1111, University Lyon 1, CNRS UMR5308, École Normale Supérieure de Lyon, Lyon, France
| | - Eka Kokhreidze
- National Center for Tuberculosis and Lung Diseases (NCTLD), Tbilisi, Georgia
| | - Nestani Tukvadze
- National Center for Tuberculosis and Lung Diseases (NCTLD), Tbilisi, Georgia
| | - Sayera Banu
- International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | | | - Samanta Biswas
- International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | - Rumana Nasrin
- International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | | | | | - Julio Rakotonirina
- Centre Hospitalier Universitaire de Soins et Santé Publique Analakely (CHUSSPA), Antananarivo, Madagascar
| | | | - Giovanni Delogu
- Dipartimento di Scienze di Laboratorio e Infettivologiche, Fondazione Policlinico Universitario "A. Gemelli", IRCCS, Rome, Italy
| | - Flavio De Maio
- Dipartimento di Scienze di Laboratorio e Infettivologiche, Fondazione Policlinico Universitario "A. Gemelli", IRCCS, Rome, Italy
| | - Delia Goletti
- Translational Research Unit, Department of Epidemiology and Preclinical Research, "L. Spallanzani" National Institute for Infectious Diseases (INMI), IRCCS, Rome, Italy
| | - Hubert Endtz
- Erasmus MC, Medical Microbiology and Infectious Diseases, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Florence Ader
- Service des Maladies Infectieuses et Tropicales, Hospices Civils de Lyon, Lyon, France
| | - Monzer Hamze
- Laboratoire Microbiologie, Santé et Environnement (LMSE), Doctoral School of Sciences and Technology, Faculty of Public Health, Lebanese University, Tripoli, Lebanon
| | - Mohamad Bachar Ismail
- Laboratoire Microbiologie, Santé et Environnement (LMSE), Doctoral School of Sciences and Technology, Faculty of Public Health, Lebanese University, Tripoli, Lebanon
| | - Stéphane Pouzol
- Medical and Scientific Department, Fondation Mérieux, Lyon, France
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50
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Zimmer AJ, Schumacher SG, Södersten E, Mantsoki A, Wyss R, Persing DH, Banderby S, Strömqvist Meuzelaar L, Prieto J, Gnanashanmugam D, Khatri P, Ongarello S, Ruhwald M, Denkinger CM. A novel blood-based assay for treatment monitoring of tuberculosis. BMC Res Notes 2021; 14:247. [PMID: 34193258 PMCID: PMC8243580 DOI: 10.1186/s13104-021-05663-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 06/17/2021] [Indexed: 11/10/2022] Open
Abstract
Objectives A novel 3-gene host transcriptional signature (GBP5, DUSP3 and KLF2) has been validated for tuberculosis (TB) treatment monitoring using laboratory-based RNA sequencing platforms. The signature was recently translated by Cepheid into a prototype cartridge-based test that can be run on the GeneXpert instrument. In this study, we prospectively evaluated the change in the expression of the cartridge-based 3-gene signature following treatment initiation among pulmonary TB patients who were microbiologically cured at the end of treatment. Results The 3-gene signature expression level (TB score) changed significantly over time with respect to baseline among 31 pulmonary TB patients. The greatest increase in TB score occurred within the first month of treatment (median fold-increase in TB score: 1.08 [IQR 0.54–1.52]) and plateaued after 4 months of treatment (median TB score: 1.97 [IQR: 1.03–2.33]). The rapid and substantial increase of the TB score in the first month of treatment holds promise for the early identification of patients that respond to TB treatment. The plateau in TB score at 4 months may indicate early clearance of disease and could direct treatment to be shortened. These hypotheses need to be further explored with larger prospective treatment monitoring studies.
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Affiliation(s)
- Alexandra J Zimmer
- Departments of Medicine and of Epidemiology, Biostatistics & Occupational Health, McGill University, Montreal, Canada
| | | | | | | | - Romain Wyss
- FIND, Chemin des Mines 9, Geneva, 1202, Switzerland
| | | | | | | | | | | | - Purvesh Khatri
- Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, 94305, USA.,Department of Medicine, Center for Biomedical Informatics Research, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | | | | | - Claudia M Denkinger
- FIND, Chemin des Mines 9, Geneva, 1202, Switzerland.,Division of Tropical Medicine, Center for Infectious Diseases, Heidelberg University Hospital, Heidelberg, Germany
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