FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2941154832> ?p ?o ?g. }

• W2941154832 abstract "Background Identifying associations between serum metabolites and visceral adipose tissue ( VAT ) could provide novel biomarkers of VAT and insights into the pathogenesis of obesity-related diseases. We aimed to discover and replicate metabolites reflecting pathways related to VAT . Methods and Results Associations between fasting serum metabolites and VAT area (by computed tomography or magnetic resonance imaging) were assessed with cross-sectional linear regression of individual-level data from participants in MESA (Multi-Ethnic Study of Atherosclerosis; discovery, N=1103) and the NEO (Netherlands Epidemiology of Obesity) study (replication, N=2537). Untargeted 1H nuclear magnetic resonance metabolomics profiling of serum was performed in MESA, and metabolites were replicated in the NEO study using targeted 1H nuclear magnetic resonance spectroscopy. A total of 30 590 metabolomic spectral variables were evaluated. After adjustment for age, sex, race/ethnicity, socioeconomic status, smoking, physical activity, glucose/lipid-lowering medication, and body mass index, 2104 variables representing 24 nonlipid and 49 lipid/lipoprotein subclass metabolites remained significantly associated with VAT ( P=4.88×10-20-1.16×10-3). These included conventional metabolites, amino acids, acetylglycoproteins, intermediates of glucose and hepatic metabolism, organic acids, and subclasses of apolipoproteins, cholesterol, phospholipids, and triglycerides. Metabolites mapped to 31 biochemical pathways, including amino acid substrate use/metabolism and glycolysis/gluconeogenesis. In the replication cohort, acetylglycoproteins, branched-chain amino acids, lactate, glutamine (inversely), and atherogenic lipids remained associated with VAT ( P=1.90×10-35-8.46×10-7), with most associations remaining after additional adjustment for surrogates of VAT (glucose level, waist circumference, and serum triglycerides), reflecting novel independent associations. Conclusions We identified and replicated a metabolite panel associated with VAT in 2 community-based cohorts. These findings persisted after adjustment for body mass index and appear to define a metabolic signature of visceral adiposity." @default.
• W2941154832 created "2019-05-03" @default.
• W2941154832 creator A5003561805 @default.
• W2941154832 creator A5005451442 @default.
• W2941154832 creator A5005650203 @default.
• W2941154832 creator A5005968693 @default.
• W2941154832 creator A5012700139 @default.
• W2941154832 creator A5015751984 @default.
• W2941154832 creator A5020053314 @default.
• W2941154832 creator A5021361864 @default.
• W2941154832 creator A5031487360 @default.
• W2941154832 creator A5032537180 @default.
• W2941154832 creator A5033833360 @default.
• W2941154832 creator A5056682245 @default.
• W2941154832 creator A5061356869 @default.
• W2941154832 creator A5069986121 @default.
• W2941154832 creator A5071844909 @default.
• W2941154832 creator A5074322282 @default.
• W2941154832 creator A5076513928 @default.
• W2941154832 creator A5080811781 @default.
• W2941154832 date "2019-05-07" @default.
• W2941154832 modified "2023-10-12" @default.
• W2941154832 title "Metabolomics Profiling of Visceral Adipose Tissue: Results From MESA and the NEO Study" @default.
• W2941154832 cites W1152644542 @default.
• W2941154832 cites W1489144662 @default.
• W2941154832 cites W1848295836 @default.
• W2941154832 cites W1927591950 @default.
• W2941154832 cites W1936500693 @default.
• W2941154832 cites W1974438296 @default.
• W2941154832 cites W197779105 @default.
• W2941154832 cites W1981213438 @default.
• W2941154832 cites W1981560165 @default.
• W2941154832 cites W1991251155 @default.
• W2941154832 cites W2017771330 @default.
• W2941154832 cites W2023271906 @default.
• W2941154832 cites W2030795765 @default.
• W2941154832 cites W2041172186 @default.
• W2941154832 cites W2045432341 @default.
• W2941154832 cites W2062475597 @default.
• W2941154832 cites W2068509302 @default.
• W2941154832 cites W2069637401 @default.
• W2941154832 cites W2076514400 @default.
• W2941154832 cites W2077836617 @default.
• W2941154832 cites W2084093841 @default.
• W2941154832 cites W2086839409 @default.
• W2941154832 cites W2091081971 @default.
• W2941154832 cites W2092095552 @default.
• W2941154832 cites W2098059712 @default.
• W2941154832 cites W2102761049 @default.
• W2941154832 cites W2109616786 @default.
• W2941154832 cites W2122367003 @default.
• W2941154832 cites W2123055140 @default.
• W2941154832 cites W2144636739 @default.
• W2941154832 cites W2144852094 @default.
• W2941154832 cites W2148713009 @default.
• W2941154832 cites W2156097706 @default.
• W2941154832 cites W2170103181 @default.
• W2941154832 cites W2170397513 @default.
• W2941154832 cites W2171543582 @default.
• W2941154832 cites W2190865335 @default.
• W2941154832 cites W2192722195 @default.
• W2941154832 cites W2224539324 @default.
• W2941154832 cites W2252854900 @default.
• W2941154832 cites W2283413659 @default.
• W2941154832 cites W2310542696 @default.
• W2941154832 cites W2343829819 @default.
• W2941154832 cites W2463643184 @default.
• W2941154832 cites W2465888413 @default.
• W2941154832 cites W2520222164 @default.
• W2941154832 cites W2605549446 @default.
• W2941154832 cites W2620406790 @default.
• W2941154832 cites W2623068422 @default.
• W2941154832 cites W2740149173 @default.
• W2941154832 cites W2765303057 @default.
• W2941154832 cites W2770447301 @default.
• W2941154832 cites W2787647639 @default.
• W2941154832 cites W2794111631 @default.
• W2941154832 cites W2801335865 @default.
• W2941154832 cites W2941154832 @default.
• W2941154832 cites W2950172732 @default.
• W2941154832 cites W63956684 @default.
• W2941154832 doi "https://doi.org/10.1161/jaha.118.010810" @default.
• W2941154832 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6512086" @default.
• W2941154832 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31017036" @default.
• W2941154832 hasPublicationYear "2019" @default.
• W2941154832 type Work @default.
• W2941154832 sameAs 2941154832 @default.
• W2941154832 citedByCount "22" @default.
• W2941154832 countsByYear W29411548322019 @default.
• W2941154832 countsByYear W29411548322020 @default.
• W2941154832 countsByYear W29411548322021 @default.
• W2941154832 countsByYear W29411548322022 @default.
• W2941154832 countsByYear W29411548322023 @default.
• W2941154832 crossrefType "journal-article" @default.
• W2941154832 hasAuthorship W2941154832A5003561805 @default.
• W2941154832 hasAuthorship W2941154832A5005451442 @default.
• W2941154832 hasAuthorship W2941154832A5005650203 @default.
• W2941154832 hasAuthorship W2941154832A5005968693 @default.
• W2941154832 hasAuthorship W2941154832A5012700139 @default.
• W2941154832 hasAuthorship W2941154832A5015751984 @default.

• next