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Identification of Prognostic Metabolomic Biomarkers at the Interface of Mortality and Morbidity in Pre-Existing TB Cases Infected With SARS-CoV-2
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection currently remains one of the biggest global challenges that can lead to acute respiratory distress syndrome (CARDS) in severe cases. In line with this, prior pulmonary tuberculosis (TB) is a risk factor for long-term respiratory...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9354137/ https://www.ncbi.nlm.nih.gov/pubmed/35937683 http://dx.doi.org/10.3389/fcimb.2022.929689 |
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author | Diboun, Ilhame Cyprian, Farhan S. Anwardeen, Najeha Rizwana Yassine, Hadi M. Elrayess, Mohamed A. Rahmoon, Samreen Mumtaz Sayed, Sarah Khaled Schuchardt, Sven Khatib, Malkan Bansal, Devendra Farag, Elmoubashar Abu Baker Abd Emara, Mohamed M. Abdallah, Abdallah M. |
author_facet | Diboun, Ilhame Cyprian, Farhan S. Anwardeen, Najeha Rizwana Yassine, Hadi M. Elrayess, Mohamed A. Rahmoon, Samreen Mumtaz Sayed, Sarah Khaled Schuchardt, Sven Khatib, Malkan Bansal, Devendra Farag, Elmoubashar Abu Baker Abd Emara, Mohamed M. Abdallah, Abdallah M. |
author_sort | Diboun, Ilhame |
collection | PubMed |
description | Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection currently remains one of the biggest global challenges that can lead to acute respiratory distress syndrome (CARDS) in severe cases. In line with this, prior pulmonary tuberculosis (TB) is a risk factor for long-term respiratory impairment. Post-TB lung dysfunction often goes unrecognized, despite its relatively high prevalence and its association with reduced quality of life. In this study, we used a metabolomics analysis to identify potential biomarkers that aid in the prognosis of COVID-19 morbidity and mortality in post-TB infected patients. This analysis involved blood samples from 155 SARS-CoV-2 infected adults, of which 23 had a previous diagnosis of TB (post-TB), while 132 did not have a prior or current TB infection. Our analysis indicated that the vast majority (~92%) of post-TB individuals showed severe SARS-CoV-2 infection, required intensive oxygen support with a significantly high mortality rate (52.2%). Amongst individuals with severe COVID-19 symptoms, we report a significant decline in the levels of amino acids, notably the branched chains amino acids (BCAAs), more so in the post-TB cohort (FDR <= 0.05) in comparison to mild and asymptomatic cases. Indeed, we identified betaine and BCAAs as potential prognostic metabolic biomarkers of severity and mortality, respectively, in COVID-19 patients who have been exposed to TB. Moreover, we identified serum alanine as an important metabolite at the interface of severity and mortality. Hence, our data associated COVID-19 mortality and morbidity with a long-term metabolically driven consequence of TB infection. In summary, our study provides evidence for a higher mortality rate among COVID-19 infection patients who have history of prior TB infection diagnosis, which mandates validation in larger population cohorts. |
format | Online Article Text |
id | pubmed-9354137 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93541372022-08-06 Identification of Prognostic Metabolomic Biomarkers at the Interface of Mortality and Morbidity in Pre-Existing TB Cases Infected With SARS-CoV-2 Diboun, Ilhame Cyprian, Farhan S. Anwardeen, Najeha Rizwana Yassine, Hadi M. Elrayess, Mohamed A. Rahmoon, Samreen Mumtaz Sayed, Sarah Khaled Schuchardt, Sven Khatib, Malkan Bansal, Devendra Farag, Elmoubashar Abu Baker Abd Emara, Mohamed M. Abdallah, Abdallah M. Front Cell Infect Microbiol Cellular and Infection Microbiology Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection currently remains one of the biggest global challenges that can lead to acute respiratory distress syndrome (CARDS) in severe cases. In line with this, prior pulmonary tuberculosis (TB) is a risk factor for long-term respiratory impairment. Post-TB lung dysfunction often goes unrecognized, despite its relatively high prevalence and its association with reduced quality of life. In this study, we used a metabolomics analysis to identify potential biomarkers that aid in the prognosis of COVID-19 morbidity and mortality in post-TB infected patients. This analysis involved blood samples from 155 SARS-CoV-2 infected adults, of which 23 had a previous diagnosis of TB (post-TB), while 132 did not have a prior or current TB infection. Our analysis indicated that the vast majority (~92%) of post-TB individuals showed severe SARS-CoV-2 infection, required intensive oxygen support with a significantly high mortality rate (52.2%). Amongst individuals with severe COVID-19 symptoms, we report a significant decline in the levels of amino acids, notably the branched chains amino acids (BCAAs), more so in the post-TB cohort (FDR <= 0.05) in comparison to mild and asymptomatic cases. Indeed, we identified betaine and BCAAs as potential prognostic metabolic biomarkers of severity and mortality, respectively, in COVID-19 patients who have been exposed to TB. Moreover, we identified serum alanine as an important metabolite at the interface of severity and mortality. Hence, our data associated COVID-19 mortality and morbidity with a long-term metabolically driven consequence of TB infection. In summary, our study provides evidence for a higher mortality rate among COVID-19 infection patients who have history of prior TB infection diagnosis, which mandates validation in larger population cohorts. Frontiers Media S.A. 2022-07-22 /pmc/articles/PMC9354137/ /pubmed/35937683 http://dx.doi.org/10.3389/fcimb.2022.929689 Text en Copyright © 2022 Diboun, Cyprian, Anwardeen, Yassine, Elrayess, Rahmoon, Sayed, Schuchardt, Khatib, Bansal, Farag, Emara and Abdallah https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cellular and Infection Microbiology Diboun, Ilhame Cyprian, Farhan S. Anwardeen, Najeha Rizwana Yassine, Hadi M. Elrayess, Mohamed A. Rahmoon, Samreen Mumtaz Sayed, Sarah Khaled Schuchardt, Sven Khatib, Malkan Bansal, Devendra Farag, Elmoubashar Abu Baker Abd Emara, Mohamed M. Abdallah, Abdallah M. Identification of Prognostic Metabolomic Biomarkers at the Interface of Mortality and Morbidity in Pre-Existing TB Cases Infected With SARS-CoV-2 |
title | Identification of Prognostic Metabolomic Biomarkers at the Interface of Mortality and Morbidity in Pre-Existing TB Cases Infected With SARS-CoV-2 |
title_full | Identification of Prognostic Metabolomic Biomarkers at the Interface of Mortality and Morbidity in Pre-Existing TB Cases Infected With SARS-CoV-2 |
title_fullStr | Identification of Prognostic Metabolomic Biomarkers at the Interface of Mortality and Morbidity in Pre-Existing TB Cases Infected With SARS-CoV-2 |
title_full_unstemmed | Identification of Prognostic Metabolomic Biomarkers at the Interface of Mortality and Morbidity in Pre-Existing TB Cases Infected With SARS-CoV-2 |
title_short | Identification of Prognostic Metabolomic Biomarkers at the Interface of Mortality and Morbidity in Pre-Existing TB Cases Infected With SARS-CoV-2 |
title_sort | identification of prognostic metabolomic biomarkers at the interface of mortality and morbidity in pre-existing tb cases infected with sars-cov-2 |
topic | Cellular and Infection Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9354137/ https://www.ncbi.nlm.nih.gov/pubmed/35937683 http://dx.doi.org/10.3389/fcimb.2022.929689 |
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