<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Chen M</submitter><funding>the National Institute of Health</funding><funding>NIDDK NIH HHS</funding><funding>NIA NIH HHS</funding><funding>NHLBI NIH HHS</funding><pagination>e181172</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11601894</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>9(22)</volume><pubmed_abstract>BACKGROUNDLeft ventricular hypertrophy (LVH) and dyslipidemia are strong, independent predictors for cardiovascular disease, but their relationship is less well studied. A longitudinal lipidomic profiling of left ventricular mass (LVM) and LVH is still lacking.METHODSUsing liquid chromatography-mass spectrometry (LC-MS), we repeatedly measured 1,542 lipids from 1,755 unique American Indians attending 2 exams (mean, 5 years apart). Cross-sectional associations of individual lipid species with LVM index (LVMI) were examined by generalized estimating equation (GEE), followed by replication in an independent biracial cohort (65% White, 35% Black). Baseline plasma lipids associated with LVH risk beyond traditional risk factors were identified by logistic GEE model in American Indians. Longitudi</pubmed_abstract><journal>JCI insight</journal><pubmed_title>Longitudinal lipidomic profiles of left ventricular mass and left ventricular hypertrophy in American Indians.</pubmed_title><pmcid>PMC11601894</pmcid><funding_grant_id>75N92019D00028</funding_grant_id><funding_grant_id>R01 HL109315</funding_grant_id><funding_grant_id>75N92019D00027</funding_grant_id><funding_grant_id>K01 HL161538</funding_grant_id><funding_grant_id>75N92019D00029</funding_grant_id><funding_grant_id>R01 HL109301</funding_grant_id><funding_grant_id>R01DK107532</funding_grant_id><funding_grant_id>R01 HL109284</funding_grant_id><funding_grant_id>R01 HL109282</funding_grant_id><funding_grant_id>U01 HL041652</funding_grant_id><funding_grant_id>U01 HL065520</funding_grant_id><funding_grant_id>U01 HL065521</funding_grant_id><funding_grant_id>U01 HL041642</funding_grant_id><funding_grant_id>U01 HL041654</funding_grant_id><funding_grant_id>R01 DK107532</funding_grant_id><funding_grant_id>75N92019D00030</funding_grant_id><funding_grant_id>R21 AG051914</funding_grant_id><funding_grant_id>R01 HL109319</funding_grant_id><pubmed_authors>Liu J</pubmed_authors><pubmed_authors>Cole SA</pubmed_authors><pubmed_authors>Chen M</pubmed_authors><pubmed_authors>Devereux RB</pubmed_authors><pubmed_authors>Miao G</pubmed_authors><pubmed_authors>Huang Z</pubmed_authors><pubmed_authors>Ren J</pubmed_authors><pubmed_authors>Zhang Y</pubmed_authors><pubmed_authors>Fiehn O</pubmed_authors><pubmed_authors>Fabsitz RR</pubmed_authors><pubmed_authors>Kelly TN</pubmed_authors><pubmed_authors>Umans JG</pubmed_authors><pubmed_authors>Roman MJ</pubmed_authors><pubmed_authors>Zhao J</pubmed_authors></additional><is_claimable>false</is_claimable><name>Longitudinal lipidomic profiles of left ventricular mass and left ventricular hypertrophy in American Indians.</name><description>BACKGROUNDLeft ventricular hypertrophy (LVH) and dyslipidemia are strong, independent predictors for cardiovascular disease, but their relationship is less well studied. A longitudinal lipidomic profiling of left ventricular mass (LVM) and LVH is still lacking.METHODSUsing liquid chromatography-mass spectrometry (LC-MS), we repeatedly measured 1,542 lipids from 1,755 unique American Indians attending 2 exams (mean, 5 years apart). Cross-sectional associations of individual lipid species with LVM index (LVMI) were examined by generalized estimating equation (GEE), followed by replication in an independent biracial cohort (65% White, 35% Black). Baseline plasma lipids associated with LVH risk beyond traditional risk factors were identified by logistic GEE model in American Indians. Longitudi</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Oct</publication><modification>2025-04-19T17:34:42.546Z</modification><creation>2025-04-19T17:34:42.546Z</creation></dates><accession>S-EPMC11601894</accession><cross_references><pubmed>39405119</pubmed><doi>10.1172/jci.insight.181172</doi></cross_references></HashMap>