{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T19:26:12Z","timestamp":1774380372140,"version":"3.50.1"},"reference-count":50,"publisher":"Oxford University Press (OUP)","issue":"9","license":[{"start":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T00:00:00Z","timestamp":1685318400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"name":"Tianjin"},{"name":"Science and Technology Plan;"},{"name":"Science and Technology Commission","award":["LYB KZ1901"],"award-info":[{"award-number":["LYB KZ1901"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,11,2]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Background<\/jats:title>\n                  <jats:p>Pulmonary tuberculosis (PTB) and lung cancer (LC) have similar clinical symptoms and atypical imaging findings, which are easily misdiagnosed. There is an urgent need for a noninvasive and accurate biomarker to distinguish LC from PTB.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>A total of 694 subjects were enrolled and divided into discovery set (n = 122), identification set (n = 214), and validation set (n = 358). Metabolites were identified by multivariate and univariate analyses. Receiver operating characteristic curve were used to evaluate the diagnostic efficacy of biomarkers.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Seven metabolites were identified and validated. Phenylalanylphenylalanine for distinguishing LC from PTB yielded an area under the curve of 0.89, sensitivity of 71%, and specificity of 92%. It also showed good diagnostic abilities in discovery set and identification set. Compared with that in healthy volunteers (median [interquartile range], 1.57 [1.01, 2.34] \u03bcg\/mL), it was elevated in LC (4.76 [2.74, 7.08] \u03bcg\/mL; ratio of median, [ROM] = 3.03, P &amp;lt; .01) and reduced in PTB (1.06 [0.51, 2.09] \u03bcg\/mL; ROM = 0.68, P &amp;lt; .05).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>The metabolomic profile of LC and PTB was described and a key biomarker identified. We produced a rapid and noninvasive method to supplement existing clinical diagnostic examinations for distinguishing LC from PTB.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/infdis\/jiad175","type":"journal-article","created":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T09:26:03Z","timestamp":1685352363000},"page":"1154-1165","source":"Crossref","is-referenced-by-count":11,"title":["Serum Metabolomic Profiles for Distinguishing Lung Cancer From Pulmonary Tuberculosis: Identification of Rapid and Noninvasive Biomarker"],"prefix":"10.1093","volume":"228","author":[{"given":"Siyu","family":"Chen","sequence":"first","affiliation":[{"name":"School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine , Tianjin , China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunyan","family":"Li","sequence":"additional","affiliation":[{"name":"School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine , Tianjin , 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