{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Chen J"],"funding":["Key Research Projects of Traditional Chinese Medicine in Zhejiang Province","National Natural Science Foundation of China","Key R & D plan of Zhejiang Province","Zhejiang provincial fund for outstanding young talents of traditional Chinese Medicine"],"pagination":["1240-1250"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12307956"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["28(7)"],"pubmed_abstract":["<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 co"],"journal":["Combinatorial chemistry & high throughput screening"],"pubmed_title":["Analysis of Gut Microbiota as a Diagnostic Biomarker for Lung Adenocarcinoma with Qi-Deficiency and Phlegm-Turbid Stagnation."],"pmcid":["PMC12307956"],"funding_grant_id":["81673781","2022ZZ006","2022C3152","2019ZQ006"],"pubmed_authors":["Chai K","Chen J","Wang S","Hu Q"],"additional_accession":[]},"is_claimable":false,"name":"Analysis of Gut Microbiota as a Diagnostic Biomarker for Lung Adenocarcinoma with Qi-Deficiency and Phlegm-Turbid Stagnation.","description":"<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 co","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025","modification":"2026-03-17T15:50:01.981Z","creation":"2025-08-17T03:06:20.905Z"},"accession":"S-EPMC12307956","cross_references":{"pubmed":["38847243"],"doi":["10.2174/0113862073303081240521083505"]}}