Predictive metabolite signatures for risk of progression to active TB from QuantiFERON supernatants of household contacts of TB patients
The identification of individuals with the greatest risk of progression to active tuberculosis (TB) disease from the huge reservoir of Mycobacterium tuberculosis (Mtb) infected individuals continues to remain an arduous ascent in the global effort to control TB. In a two-year prospective study, we a...
Saved in:
Main Authors: | , , , , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2025-12-01
|
Series: | Emerging Microbes and Infections |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/22221751.2024.2437242 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1846111719180468224 |
---|---|
author | Evangeline Ann Daniel Shubham Upadhyay Murugesan Selvachithiram Sathyamurthi Pattabiraman Brindha Bhanu Amsaveni Sivaprakasam Vandana Kulkarni Rajesh Karyakarte Sanjay Gaikwad Mandar Paradkar Shri Vijay Bala Yogendra Shivakumar Vidya Mave Amita Gupta Keshava Prasad Luke Elizabeth Hanna |
author_facet | Evangeline Ann Daniel Shubham Upadhyay Murugesan Selvachithiram Sathyamurthi Pattabiraman Brindha Bhanu Amsaveni Sivaprakasam Vandana Kulkarni Rajesh Karyakarte Sanjay Gaikwad Mandar Paradkar Shri Vijay Bala Yogendra Shivakumar Vidya Mave Amita Gupta Keshava Prasad Luke Elizabeth Hanna |
author_sort | Evangeline Ann Daniel |
collection | DOAJ |
description | The identification of individuals with the greatest risk of progression to active tuberculosis (TB) disease from the huge reservoir of Mycobacterium tuberculosis (Mtb) infected individuals continues to remain an arduous ascent in the global effort to control TB. In a two-year prospective study, we analysed metabolic profiles in the unstimulated and TB antigen stimulated QuantiFERON supernatants of 14 healthy household contacts (HHCs) who progressed to TB disease (Progressors) and 14 HHCs who remained healthy (Non-Progressors). We identified 21 significantly dysregulated metabolites in the TB antigen-stimulated QuantiFERON supernatants of Progressors, of which the combination of Malic acid and N-Arachidonoylglycine had maximum AUC of 0.99. Eighteen significantly dysregulated metabolites were identified in the unstimulated QuantiFERON supernatants of Progressors, among which the combination of Orotic acid and the phosphatidylcholines PC (O-34:1), PC (O-18:1(9Z)/16:0), PC (O-18:1(11Z)/16:0) had the maximum AUC of 0.98. Most of the dysregulated metabolites belonged to the pathways of fatty acid metabolism, lipid metabolism and nitric oxide metabolism. Validation of these metabolic signatures in large, diverse cohorts would pave way for the development of a robust test that can identify individuals at high risk of TB for targetted intervention of TB disease. |
format | Article |
id | doaj-art-ccd573d0a8984703b210dbfe4055f65d |
institution | Kabale University |
issn | 2222-1751 |
language | English |
publishDate | 2025-12-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | Emerging Microbes and Infections |
spelling | doaj-art-ccd573d0a8984703b210dbfe4055f65d2024-12-23T06:57:57ZengTaylor & Francis GroupEmerging Microbes and Infections2222-17512025-12-0114110.1080/22221751.2024.2437242Predictive metabolite signatures for risk of progression to active TB from QuantiFERON supernatants of household contacts of TB patientsEvangeline Ann Daniel0Shubham Upadhyay1Murugesan Selvachithiram2Sathyamurthi Pattabiraman3Brindha Bhanu4Amsaveni Sivaprakasam5Vandana Kulkarni6Rajesh Karyakarte7Sanjay Gaikwad8Mandar Paradkar9Shri Vijay Bala Yogendra Shivakumar10Vidya Mave11Amita Gupta12Keshava Prasad13Luke Elizabeth Hanna14Department of Virology and Biotechnology, National Institute for Research in Tuberculosis, Indian Council of Medical Research (ICMR), Chennai, IndiaCenter for Systems Biology and Molecular Medicine, Yenepoya University, Mangalore, IndiaDepartment of Virology and Biotechnology, National Institute for Research in Tuberculosis, Indian Council of Medical Research (ICMR), Chennai, IndiaDepartment of Virology and Biotechnology, National Institute for Research in Tuberculosis, Indian Council of Medical Research (ICMR), Chennai, IndiaDepartment of Virology and Biotechnology, National Institute for Research in Tuberculosis, Indian Council of Medical Research (ICMR), Chennai, IndiaDepartment of Virology and Biotechnology, National Institute for Research in Tuberculosis, Indian Council of Medical Research (ICMR), Chennai, IndiaBJ Government Medical College-Johns Hopkins Clinical Research Site, Pune, IndiaByramjee Jeejeebhoy Government Medical College and Sassoon General Hospitals, Pune, IndiaByramjee Jeejeebhoy Government Medical College and Sassoon General Hospitals, Pune, IndiaJohns Hopkins Center for Infectious Diseases in India, Pune, IndiaJohns Hopkins Center for Infectious Diseases in India, Pune, IndiaJohns Hopkins Center for Infectious Diseases in India, Pune, IndiaJohns Hopkins University School of Medicine, Baltimore, MD, USACenter for Systems Biology and Molecular Medicine, Yenepoya University, Mangalore, IndiaDepartment of Virology and Biotechnology, National Institute for Research in Tuberculosis, Indian Council of Medical Research (ICMR), Chennai, IndiaThe identification of individuals with the greatest risk of progression to active tuberculosis (TB) disease from the huge reservoir of Mycobacterium tuberculosis (Mtb) infected individuals continues to remain an arduous ascent in the global effort to control TB. In a two-year prospective study, we analysed metabolic profiles in the unstimulated and TB antigen stimulated QuantiFERON supernatants of 14 healthy household contacts (HHCs) who progressed to TB disease (Progressors) and 14 HHCs who remained healthy (Non-Progressors). We identified 21 significantly dysregulated metabolites in the TB antigen-stimulated QuantiFERON supernatants of Progressors, of which the combination of Malic acid and N-Arachidonoylglycine had maximum AUC of 0.99. Eighteen significantly dysregulated metabolites were identified in the unstimulated QuantiFERON supernatants of Progressors, among which the combination of Orotic acid and the phosphatidylcholines PC (O-34:1), PC (O-18:1(9Z)/16:0), PC (O-18:1(11Z)/16:0) had the maximum AUC of 0.98. Most of the dysregulated metabolites belonged to the pathways of fatty acid metabolism, lipid metabolism and nitric oxide metabolism. Validation of these metabolic signatures in large, diverse cohorts would pave way for the development of a robust test that can identify individuals at high risk of TB for targetted intervention of TB disease.https://www.tandfonline.com/doi/10.1080/22221751.2024.2437242MetabolitestuberculosisprogressionQuantiFERON supernatantbiomarkersmetabolite signatures |
spellingShingle | Evangeline Ann Daniel Shubham Upadhyay Murugesan Selvachithiram Sathyamurthi Pattabiraman Brindha Bhanu Amsaveni Sivaprakasam Vandana Kulkarni Rajesh Karyakarte Sanjay Gaikwad Mandar Paradkar Shri Vijay Bala Yogendra Shivakumar Vidya Mave Amita Gupta Keshava Prasad Luke Elizabeth Hanna Predictive metabolite signatures for risk of progression to active TB from QuantiFERON supernatants of household contacts of TB patients Emerging Microbes and Infections Metabolites tuberculosis progression QuantiFERON supernatant biomarkers metabolite signatures |
title | Predictive metabolite signatures for risk of progression to active TB from QuantiFERON supernatants of household contacts of TB patients |
title_full | Predictive metabolite signatures for risk of progression to active TB from QuantiFERON supernatants of household contacts of TB patients |
title_fullStr | Predictive metabolite signatures for risk of progression to active TB from QuantiFERON supernatants of household contacts of TB patients |
title_full_unstemmed | Predictive metabolite signatures for risk of progression to active TB from QuantiFERON supernatants of household contacts of TB patients |
title_short | Predictive metabolite signatures for risk of progression to active TB from QuantiFERON supernatants of household contacts of TB patients |
title_sort | predictive metabolite signatures for risk of progression to active tb from quantiferon supernatants of household contacts of tb patients |
topic | Metabolites tuberculosis progression QuantiFERON supernatant biomarkers metabolite signatures |
url | https://www.tandfonline.com/doi/10.1080/22221751.2024.2437242 |
work_keys_str_mv | AT evangelineanndaniel predictivemetabolitesignaturesforriskofprogressiontoactivetbfromquantiferonsupernatantsofhouseholdcontactsoftbpatients AT shubhamupadhyay predictivemetabolitesignaturesforriskofprogressiontoactivetbfromquantiferonsupernatantsofhouseholdcontactsoftbpatients AT murugesanselvachithiram predictivemetabolitesignaturesforriskofprogressiontoactivetbfromquantiferonsupernatantsofhouseholdcontactsoftbpatients AT sathyamurthipattabiraman predictivemetabolitesignaturesforriskofprogressiontoactivetbfromquantiferonsupernatantsofhouseholdcontactsoftbpatients AT brindhabhanu predictivemetabolitesignaturesforriskofprogressiontoactivetbfromquantiferonsupernatantsofhouseholdcontactsoftbpatients AT amsavenisivaprakasam predictivemetabolitesignaturesforriskofprogressiontoactivetbfromquantiferonsupernatantsofhouseholdcontactsoftbpatients AT vandanakulkarni predictivemetabolitesignaturesforriskofprogressiontoactivetbfromquantiferonsupernatantsofhouseholdcontactsoftbpatients AT rajeshkaryakarte predictivemetabolitesignaturesforriskofprogressiontoactivetbfromquantiferonsupernatantsofhouseholdcontactsoftbpatients AT sanjaygaikwad predictivemetabolitesignaturesforriskofprogressiontoactivetbfromquantiferonsupernatantsofhouseholdcontactsoftbpatients AT mandarparadkar predictivemetabolitesignaturesforriskofprogressiontoactivetbfromquantiferonsupernatantsofhouseholdcontactsoftbpatients AT shrivijaybalayogendrashivakumar predictivemetabolitesignaturesforriskofprogressiontoactivetbfromquantiferonsupernatantsofhouseholdcontactsoftbpatients AT vidyamave predictivemetabolitesignaturesforriskofprogressiontoactivetbfromquantiferonsupernatantsofhouseholdcontactsoftbpatients AT amitagupta predictivemetabolitesignaturesforriskofprogressiontoactivetbfromquantiferonsupernatantsofhouseholdcontactsoftbpatients AT keshavaprasad predictivemetabolitesignaturesforriskofprogressiontoactivetbfromquantiferonsupernatantsofhouseholdcontactsoftbpatients AT lukeelizabethhanna predictivemetabolitesignaturesforriskofprogressiontoactivetbfromquantiferonsupernatantsofhouseholdcontactsoftbpatients |