biostudies-literatureChen JKey Research Projects of Traditional Chinese Medicine in Zhejiang ProvinceNational Natural Science Foundation of ChinaKey R & D plan of Zhejiang ProvinceZhejiang provincial fund for outstanding young talents of traditional Chinese Medicine1240-1250https://www.ebi.ac.uk/biostudies/studies/S-EPMC12307956biostudies-literatureUnknown28(7)<h4>Background</h4>In Lung Adenocarcinoma (LUAD), Qi-deficiency and Phlegm-turbid stagnation (QP) are the most prevalent Traditional Chinese Medicine (TCM) syndrome.<h4>Methods</h4>Herein, we collected 90 fecal samples (Healthy individual (H): 30; other syndrome (O): 30; QP: 30) and explored the composition and diversity of gut microbiota in LUAD patients with QP syndrome using 16s-rRNA sequencing. Then, we identified biomarkers for QP syndrome in LUAD patients with Linear Discriminant Analysis (LDA) effect size (LEfSe) and applied logistic regression analysis to construct a diagnostic model evaluated with the area under the receiver operating characteristic curve (AUC) and validated with data from metagenomics.<h4>Results</h4>The α diversity and β diversity revealed that the microbiota coCombinatorial chemistry & high throughput screeningAnalysis of Gut Microbiota as a Diagnostic Biomarker for Lung Adenocarcinoma with Qi-Deficiency and Phlegm-Turbid Stagnation.PMC12307956816737812022ZZ0062022C31522019ZQ006Chai KChen JWang SHu QfalseAnalysis of Gut Microbiota as a Diagnostic Biomarker for Lung Adenocarcinoma with Qi-Deficiency and Phlegm-Turbid Stagnation.<h4>Background</h4>In Lung Adenocarcinoma (LUAD), Qi-deficiency and Phlegm-turbid stagnation (QP) are the most prevalent Traditional Chinese Medicine (TCM) syndrome.<h4>Methods</h4>Herein, we collected 90 fecal samples (Healthy individual (H): 30; other syndrome (O): 30; QP: 30) and explored the composition and diversity of gut microbiota in LUAD patients with QP syndrome using 16s-rRNA sequencing. Then, we identified biomarkers for QP syndrome in LUAD patients with Linear Discriminant Analysis (LDA) effect size (LEfSe) and applied logistic regression analysis to construct a diagnostic model evaluated with the area under the receiver operating characteristic curve (AUC) and validated with data from metagenomics.<h4>Results</h4>The α diversity and β diversity revealed that the microbiota co2025-01-01T00:00:00Z20252026-03-17T15:50:01.981Z2025-08-17T03:06:20.905ZS-EPMC123079563884724310.2174/0113862073303081240521083505