{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Wang R"],"funding":["Shanghai Municipal Health Commission","Respiratory Diseases Clinical Medical Research Center of Yunnan Province","Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases","National Natural Science Foundation of China","Cultivation Project of Shanghai Major Infectious Disease Research Base","Shanghai Municipal Key Clinical Specialty","Nanshan Zhong Academician Workstation"],"pagination":["131"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10176953"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["24(1)"],"pubmed_abstract":["<h4>Backgrounds</h4>The respiratory microbiota and radiomics correlate with the disease severity and prognosis of chronic obstructive pulmonary disease (COPD). We aim to characterize the respiratory microbiota and radiomics features of COPD patients and explore the relationship between them.<h4>Methods</h4>Sputa from stable COPD patients were collected for bacterial 16 S rRNA gene sequencing and fungal Internal Transcribed Spacer (ITS) sequencing. Chest computed tomography (CT) and 3D-CT analysis were conducted for radiomics information, including the percentages of low attenuation area below - 950 Hounsfield Units (LAA%), wall thickness (WT), and intraluminal area (Ai). WT and Ai were adjusted by body surface area (BSA) to WT/[Formula: see text] and Ai/BSA, respectively. Some key pulmonar"],"journal":["Respiratory research"],"pubmed_title":["Respiratory microbiota and radiomics features in the stable COPD patients."],"pmcid":["PMC10176953"],"funding_grant_id":["81970020","81660012","20dz2261100","2019IC032-1","202102AA100057","shslczdzk02202","2019SY006","82200024","20dz2210500"],"pubmed_authors":["Yang W","Huang C","Guo L","Wang P","Wang R","Wang C","Cao J","Zhang Y","Shi G","Huang L","Song H","Zhang C"],"additional_accession":[]},"is_claimable":false,"name":"Respiratory microbiota and radiomics features in the stable COPD patients.","description":"<h4>Backgrounds</h4>The respiratory microbiota and radiomics correlate with the disease severity and prognosis of chronic obstructive pulmonary disease (COPD). We aim to characterize the respiratory microbiota and radiomics features of COPD patients and explore the relationship between them.<h4>Methods</h4>Sputa from stable COPD patients were collected for bacterial 16 S rRNA gene sequencing and fungal Internal Transcribed Spacer (ITS) sequencing. Chest computed tomography (CT) and 3D-CT analysis were conducted for radiomics information, including the percentages of low attenuation area below - 950 Hounsfield Units (LAA%), wall thickness (WT), and intraluminal area (Ai). WT and Ai were adjusted by body surface area (BSA) to WT/[Formula: see text] and Ai/BSA, respectively. Some key pulmonar","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 May","modification":"2025-04-22T13:08:55.505Z","creation":"2025-04-06T00:30:22.042Z"},"accession":"S-EPMC10176953","cross_references":{"pubmed":["37173744"],"doi":["10.1186/s12931-023-02434-1"]}}