{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T06:04:03Z","timestamp":1780293843715,"version":"3.54.0"},"reference-count":44,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2026,5,31]],"date-time":"2026-05-31T00:00:00Z","timestamp":1780185600000},"content-version":"vor","delay-in-days":150,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001407","name":"Department of Biotechnology, Ministry of Science and Technology, India","doi-asserted-by":"publisher","award":["BT\/PR\/23016\/NER\/95\/2017"],"award-info":[{"award-number":["BT\/PR\/23016\/NER\/95\/2017"]}],"id":[{"id":"10.13039\/501100001407","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001411","name":"Indian Council of Medical Research","doi-asserted-by":"publisher","award":["5\/8\/5\/13\/ITRC\/Diag\/2022\/ECD-1"],"award-info":[{"award-number":["5\/8\/5\/13\/ITRC\/Diag\/2022\/ECD-1"]}],"id":[{"id":"10.13039\/501100001411","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Pulmonary Medicine"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:p>\n                    The rising incidence of nontuberculous mycobacteria (NTM) infections, particularly\n                    <jats:italic>Mycobacterium kansasii<\/jats:italic>\n                    (\n                    <jats:italic>M. kansasii<\/jats:italic>\n                    ), and their overlapping clinical features with\n                    <jats:italic>Mycobacterium tuberculosis<\/jats:italic>\n                    (MTB) are leading to diagnostic ambiguity in tuberculosis\u2010endemic regions. Accurate differentiation remains limited by conventional diagnostic methods, emphasizing the need for molecular\u2010 and lipid\u2010based biomarkers. In the present era of \u201cOMICS\u201d sciences, herein we attempted a comprehensive analysis of MTB and\n                    <jats:italic>M. kansasii<\/jats:italic>\n                    lipid profiles to elucidate species\u2010specific lipidomic features as potential biomarkers. Three clinical isolates each of MTB and\n                    <jats:italic>M. kansasii<\/jats:italic>\n                    were obtained from treatment\u2010na\u00efve patients with microbiologically confirmed pulmonary infections. Lipid profiling was performed by integrating untargeted and targeted profiling through ultraperformance liquid chromatography coupled with tandem mass spectrometry from bacilli total lipid and mycobacterial cell wall lipid extracts. Untargeted profiling exhibited a higher abundance of fatty acyls, GLs, selected GPLs (PE, PG, PI, and PA), and saccharolipids (SLs) specifically Ac2SGL in MTB, whereas\n                    <jats:italic>M. kansasii<\/jats:italic>\n                    isolates were characterized by elevated levels of GPLs like PC and LPC, polyketides, and specific SLs such as diacylated trehalose species. Targeted quantification confirmed differential expression of GL (TG and DG) and GPL (PC, PE, LPC, PI, and PS) species, supporting their diagnostic relevance. Additionally, biomarker analysis further identified five lipid species with strong discriminative potential. Collectively, these findings support the development of a robust lipidomic biomarker panel for the accurate differentiation of MTB and\n                    <jats:italic>M. kansasii<\/jats:italic>\n                    , with potential implications for improved diagnostics and targeted therapeutic strategies after further confirmation.\n                  <\/jats:p>","DOI":"10.1155\/pm\/5535650","type":"journal-article","created":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T05:50:45Z","timestamp":1780293045000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Untargeted and Targeted Liquid Chromatography\u2010Mass Spectrometry\u2013Based Lipidomic Profiling Revealed a Potential Biomarker Panel to Distinguish Clinical Isolates of\n                    <i>M. tuberculosis<\/i>\n                    From Nontuberculous\n                    <i>M. kansasii<\/i>"],"prefix":"10.1155","volume":"2026","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4703-9183","authenticated-orcid":false,"given":"Meenakshi","family":"Chugh","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6477-1870","authenticated-orcid":false,"given":"Saif","family":"Hameed","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5626-6076","authenticated-orcid":false,"given":"Jitendra","family":"Singh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5084-4450","authenticated-orcid":false,"given":"Zeeshan","family":"Fatima","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,5,31]]},"reference":[{"key":"e_1_2_12_1_2","article-title":"October 29","volume":"2024","author":"Global Programme on Tuberculosis and Lung Health (GTB)","year":"2024","journal-title":"Global Tuberculosis Report"},{"key":"e_1_2_12_2_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-66113-x"},{"key":"e_1_2_12_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmyco.2014.11.065"},{"key":"e_1_2_12_4_2","doi-asserted-by":"publisher","DOI":"10.1128\/spectrum.01475-21"},{"key":"e_1_2_12_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.tube.2019.02.008"},{"key":"e_1_2_12_6_2","doi-asserted-by":"publisher","DOI":"10.1093\/gbe\/evv035"},{"key":"e_1_2_12_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmi.2020.08.027"},{"key":"e_1_2_12_8_2","doi-asserted-by":"publisher","DOI":"10.1194\/jlr.m010363"},{"key":"e_1_2_12_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.chembiol.2011.10.013"},{"key":"e_1_2_12_10_2","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1315883111"},{"key":"e_1_2_12_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmi.2022.10.017"},{"key":"e_1_2_12_12_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00011-024-01943-z"},{"key":"e_1_2_12_13_2","doi-asserted-by":"publisher","DOI":"10.1007\/s13205-017-0972-6"},{"key":"e_1_2_12_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jchromb.2024.124297"},{"key":"e_1_2_12_15_2","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/1454316"},{"key":"e_1_2_12_16_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12879-016-1450-1"},{"key":"e_1_2_12_17_2","doi-asserted-by":"publisher","DOI":"10.4103\/jrms.jrms_904_17"},{"key":"e_1_2_12_18_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11306-016-1157-8"},{"key":"e_1_2_12_19_2","doi-asserted-by":"publisher","DOI":"10.1128\/microbiolspec.tnmi7-0011-2016"},{"key":"e_1_2_12_20_2","doi-asserted-by":"publisher","DOI":"10.1128\/mbio.00573-23"},{"key":"e_1_2_12_21_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-01501-0"},{"key":"e_1_2_12_22_2","doi-asserted-by":"publisher","DOI":"10.1128\/JCM.24.6.1060-1070.1986"},{"key":"e_1_2_12_23_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-025-96867-x"},{"key":"e_1_2_12_24_2","doi-asserted-by":"publisher","DOI":"10.1021\/acs.chemrev.1c00043"},{"key":"e_1_2_12_25_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-22760-6"},{"key":"e_1_2_12_26_2","doi-asserted-by":"publisher","DOI":"10.3390\/microorganisms8091380"},{"key":"e_1_2_12_27_2","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1016\/B978-0-323-91948-7.00006-3","volume-title":"Biology of Mycobacterial Lipids","author":"Sarkar B.","year":"2022"},{"key":"e_1_2_12_28_2","first-page":"1","volume-title":"Handbook of Bioanalytics","author":"Hewelt-Belka W.","year":"2022"},{"key":"e_1_2_12_29_2","volume-title":"Scout Triggered MRM Algorithm: The Evolution of the MRM Workflow","author":"Cox D.","year":"2022"},{"key":"e_1_2_12_30_2","first-page":"231","volume-title":"Methods in Molecular Biology","author":"Gutierrez Reyes C. 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