<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Liu F</submitter><funding>Ministry of Science and Technology of the People's Republic of China</funding><funding>Ministry of Science and Technology of the People’s Republic of China</funding><funding>Capital’s Funds for Health Improvement and Research</funding><funding>Capital's Funds for Health Improvement and Research</funding><pagination>626</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11229496</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>22(1)</volume><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 </pubmed_abstract><journal>Journal of translational medicine</journal><pubmed_title>Dysregulated proteasome activity and steroid hormone biosynthesis are associated with mortality among patients with acute COVID-19.</pubmed_title><pmcid>PMC11229496</pmcid><funding_grant_id>2023YFC0872500</funding_grant_id><funding_grant_id>Grant No. 2022-1-1061</funding_grant_id><funding_grant_id>2021YFC0863600</funding_grant_id><pubmed_authors>Yang H</pubmed_authors><pubmed_authors>Guan L</pubmed_authors><pubmed_authors>Song N</pubmed_authors><pubmed_authors>Li J</pubmed_authors><pubmed_authors>Zhang Z</pubmed_authors><pubmed_authors>Gao L</pubmed_authors><pubmed_authors>Zhang H</pubmed_authors><pubmed_authors>Ma H</pubmed_authors><pubmed_authors>Tong Z</pubmed_authors><pubmed_authors>Yang T</pubmed_authors><pubmed_authors>Liu F</pubmed_authors></additional><is_claimable>false</is_claimable><name>Dysregulated proteasome activity and steroid hormone biosynthesis are associated with mortality among patients with acute COVID-19.</name><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 </description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Jul</publication><modification>2025-04-04T11:24:38.569Z</modification><creation>2025-04-04T11:24:38.569Z</creation></dates><accession>S-EPMC11229496</accession><cross_references><pubmed>38965561</pubmed><doi>10.1186/s12967-024-05342-0</doi></cross_references></HashMap>