{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Liu F"],"funding":["Ministry of Science and Technology of the People's Republic of China","Ministry of Science and Technology of the People’s Republic of China","Capital’s Funds for Health Improvement and Research","Capital's Funds for Health Improvement and Research"],"pagination":["626"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11229496"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["22(1)"],"pubmed_abstract":["The persistence of coronavirus disease 2019 (COVID-19)-related hospitalization severely threatens medical systems worldwide and has increased the need for reliable detection of acute status and prediction of mortality. We applied a systems biology approach to discover acute-stage biomarkers that could predict mortality. A total 247 plasma samples were collected from 103 COVID-19 (52 surviving COVID-19 patients and 51 COVID-19 patients with mortality), 51 patients with other infectious diseases (IDCs) and 41 healthy controls (HCs). Paired plasma samples were obtained from survival COVID-19 patients within 1 day after hospital admission and 1-3 days before discharge. There were clear differences between COVID-19 patients and controls, as well as substantial differences between the acute and "],"journal":["Journal of translational medicine"],"pubmed_title":["Dysregulated proteasome activity and steroid hormone biosynthesis are associated with mortality among patients with acute COVID-19."],"pmcid":["PMC11229496"],"funding_grant_id":["2023YFC0872500","Grant No. 2022-1-1061","2021YFC0863600"],"pubmed_authors":["Yang H","Guan L","Song N","Li J","Zhang Z","Gao L","Zhang H","Ma H","Tong Z","Yang T","Liu F"],"additional_accession":[]},"is_claimable":false,"name":"Dysregulated proteasome activity and steroid hormone biosynthesis are associated with mortality among patients with acute COVID-19.","description":"The persistence of coronavirus disease 2019 (COVID-19)-related hospitalization severely threatens medical systems worldwide and has increased the need for reliable detection of acute status and prediction of mortality. We applied a systems biology approach to discover acute-stage biomarkers that could predict mortality. A total 247 plasma samples were collected from 103 COVID-19 (52 surviving COVID-19 patients and 51 COVID-19 patients with mortality), 51 patients with other infectious diseases (IDCs) and 41 healthy controls (HCs). Paired plasma samples were obtained from survival COVID-19 patients within 1 day after hospital admission and 1-3 days before discharge. There were clear differences between COVID-19 patients and controls, as well as substantial differences between the acute and ","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Jul","modification":"2025-04-04T11:24:38.569Z","creation":"2025-04-04T11:24:38.569Z"},"accession":"S-EPMC11229496","cross_references":{"pubmed":["38965561"],"doi":["10.1186/s12967-024-05342-0"]}}