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Mol. Biosci."],"abstract":"<jats:p>\n                    Tuberculosis (TB) is the leading cause of death among infectious diseases, and the ratio of cases in which its pathogen\n                    <jats:italic>Mycobacterium tuberculosis<\/jats:italic>\n                    (Mtb) is drug resistant has been increasing worldwide, whereas latent tuberculosis infection (LTBI) may develop into active TB. Thus it is important to understand the mechanism of drug resistance, find new drugs, and find biomarkers for TB diagnosis. The rapid progress of metabolomics has enabled quantitative metabolite profiling of both the host and the pathogen. In this context, we provide recent progress in the application of metabolomics toward biomarker discovery for tuberculosis. In particular, we first focus on biomarkers based on blood or other body fluids for diagnosing active TB, identifying LTBI and predicting the risk of developing active TB, as well as monitoring the effectiveness of anti-TB drugs. Then we discuss the pathogen-based biomarker research for identifying drug resistant TB. While there have been many reports of potential candidate biomarkers, validations and clinical testing as well as improved bioinformatics analysis are needed to further substantiate and select key biomarkers before they can be made clinically applicable.\n                  <\/jats:p>","DOI":"10.3389\/fmolb.2023.1099654","type":"journal-article","created":{"date-parts":[[2023,2,20]],"date-time":"2023-02-20T00:59:22Z","timestamp":1676854762000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":50,"title":["Biomarker discovery for tuberculosis using metabolomics"],"prefix":"10.3389","volume":"10","author":[{"given":"Yi","family":"Yu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin-Xin","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ji-Cheng","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2023,2,20]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"1131","DOI":"10.1080\/22221751.2020.1760734","article-title":"Active and prospective latent tuberculosis are associated with different metabolomic profiles: Clinical potential for the identification of rapid and non-invasive biomarkers","volume":"9","author":"Albors-Vaquer","year":"2020","journal-title":"Emerg. 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