<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Pan L</submitter><funding>Shanghai Municipal Science and Technology Major Project</funding><funding>Shanghai Municipal Natural Science Foundation</funding><funding>the Three-Year Public Health Action Plan of Shanghai</funding><funding>National Natural Science Foundation of China</funding><pagination>20</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12822008</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>25(1)</volume><pubmed_abstract>Metabolic dysfunction-associated steatotic liver disease (MASLD) is associated with increased atherosclerotic cardiovascular disease (ASCVD) risk. However, evidence on proteomic mechanisms linking MASLD to ASCVD is limited. This study aims to identify proteomic signatures of MASLD and ASCVD subtypes (ischemic heart disease [IHD], peripheral artery disease [PAD], and stroke), evaluate mediating effects of proteins, and develop a proteomic-based ASCVD risk prediction model in MASLD patients. Among 40,913 UK Biobank participants (median follow-up 13.42 years [interquartile range, 12.52-14.22]), 14,425 (35.26%) had MASLD at baseline, and 6,014 (14.70%) developed ASCVD during follow-up (4,420 IHD, 866 PAD, and 1,767 stroke events; subtypes not mutually exclusive). We constructed a binary variab</pubmed_abstract><journal>Cardiovascular diabetology</journal><pubmed_title>Proteomic signature of metabolic dysfunction-associated steatotic liver disease and risk of atherosclerotic cardiovascular disease.</pubmed_title><pmcid>PMC12822008</pmcid><funding_grant_id>22ZR1414900</funding_grant_id><funding_grant_id>GWVI-11.2-XD10</funding_grant_id><funding_grant_id>82473724</funding_grant_id><funding_grant_id>ZD2021CY001</funding_grant_id><funding_grant_id>82273730</funding_grant_id><pubmed_authors>Shen M</pubmed_authors><pubmed_authors>Liu Y</pubmed_authors><pubmed_authors>Huang C</pubmed_authors><pubmed_authors>Lin R</pubmed_authors><pubmed_authors>Qin G</pubmed_authors><pubmed_authors>Pan L</pubmed_authors><pubmed_authors>Yu Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>Proteomic signature of metabolic dysfunction-associated steatotic liver disease and risk of atherosclerotic cardiovascular disease.</name><description>Metabolic dysfunction-associated steatotic liver disease (MASLD) is associated with increased atherosclerotic cardiovascular disease (ASCVD) risk. However, evidence on proteomic mechanisms linking MASLD to ASCVD is limited. This study aims to identify proteomic signatures of MASLD and ASCVD subtypes (ischemic heart disease [IHD], peripheral artery disease [PAD], and stroke), evaluate mediating effects of proteins, and develop a proteomic-based ASCVD risk prediction model in MASLD patients. Among 40,913 UK Biobank participants (median follow-up 13.42 years [interquartile range, 12.52-14.22]), 14,425 (35.26%) had MASLD at baseline, and 6,014 (14.70%) developed ASCVD during follow-up (4,420 IHD, 866 PAD, and 1,767 stroke events; subtypes not mutually exclusive). We constructed a binary variab</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Dec</publication><modification>2026-06-06T18:09:19.784Z</modification><creation>2026-06-04T03:10:46.326Z</creation></dates><accession>S-EPMC12822008</accession><cross_references><pubmed>41392280</pubmed><doi>10.1186/s12933-025-03034-7</doi></cross_references></HashMap>