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• W4306292511 abstract "Abstract Background New biomarkers to identify cardiovascular disease (CVD) risk earlier in its course are needed to enable targeted approaches for primordial prevention. We evaluated whether intraindividual changes in blood metabolites in response to an oral glucose tolerance test (OGTT) may provide incremental information regarding the risk of future CVD and mortality in the community. Methods An OGTT (75 g glucose) was administered to a subsample of Framingham Heart Study participants free from diabetes (n = 361). Profiling of 211 plasma metabolites was performed from blood samples drawn before and 2 h after OGTT. The log2(post/pre) metabolite levels (Δmetabolites) were related to incident CVD and mortality in Cox regression models adjusted for age, sex, baseline metabolite level, systolic blood pressure, hypertension treatment, body mass index, smoking, and total/high-density lipoprotein cholesterol. Select metabolites were related to subclinical cardiometabolic phenotypes using Spearman correlations adjusted for age, sex, and fasting metabolite level. Results Our sample included 42% women, with a mean age of 56 ± 9 years and a body mass index of 30.2 ± 5.3 kg/m 2 . The pre- to post-OGTT changes (Δmetabolite) were non-zero for 168 metabolites (at FDR ≤ 5%). A total of 132 CVD events and 144 deaths occurred during median follow-up of 24.9 years. In Cox models adjusted for clinical risk factors, four Δmetabolites were associated with incident CVD (higher glutamate and deoxycholate, lower inosine and lysophosphatidylcholine 18:2) and six Δmetabolites (higher hydroxyphenylacetate, triacylglycerol 56:5, alpha-ketogluturate, and lower phosphatidylcholine 32:0, glucuronate, N-monomethyl-arginine) were associated with death (P < 0.05). Notably, baseline metabolite levels were not associated with either outcome in models excluding Δmetabolites. The Δmetabolites exhibited varying cross-sectional correlation with subclinical risk factors such as visceral adiposity, insulin resistance, and vascular stiffness, but overall relations were modest. Significant Δmetabolites included those with established roles in cardiometabolic disease (e.g., glutamate, alpha-ketoglutarate) and metabolites with less defined roles (e.g., glucuronate, lipid species). Conclusions Dynamic changes in metabolite levels with an OGTT are associated with incident CVD and mortality and have potential relevance for identifying CVD risk earlier in its development and for discovering new potential therapeutic targets." @default.
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• W4306292511 date "2022-10-15" @default.
• W4306292511 modified "2023-10-18" @default.
• W4306292511 title "Response of circulating metabolites to an oral glucose challenge and risk of cardiovascular disease and mortality in the community" @default.
• W4306292511 cites W1946328238 @default.
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• W4306292511 cites W1974090295 @default.
• W4306292511 cites W1997317668 @default.
• W4306292511 cites W2000621683 @default.
• W4306292511 cites W2017771330 @default.
• W4306292511 cites W2041911313 @default.
• W4306292511 cites W2042293234 @default.
• W4306292511 cites W2042568900 @default.
• W4306292511 cites W2048776985 @default.
• W4306292511 cites W2051009503 @default.
• W4306292511 cites W2054031791 @default.
• W4306292511 cites W2068256216 @default.
• W4306292511 cites W2072729323 @default.
• W4306292511 cites W2074399756 @default.
• W4306292511 cites W2080130381 @default.
• W4306292511 cites W2080541975 @default.
• W4306292511 cites W2091760531 @default.
• W4306292511 cites W2096486669 @default.
• W4306292511 cites W2099783126 @default.
• W4306292511 cites W2113253151 @default.
• W4306292511 cites W2113945466 @default.
• W4306292511 cites W2115944543 @default.
• W4306292511 cites W2121413294 @default.
• W4306292511 cites W2122367003 @default.
• W4306292511 cites W2142142781 @default.
• W4306292511 cites W2143860368 @default.
• W4306292511 cites W2144636739 @default.
• W4306292511 cites W2145063435 @default.
• W4306292511 cites W2155965977 @default.
• W4306292511 cites W2168536722 @default.
• W4306292511 cites W2168695215 @default.
• W4306292511 cites W2169156123 @default.
• W4306292511 cites W2169890089 @default.
• W4306292511 cites W2174364087 @default.
• W4306292511 cites W2211287272 @default.
• W4306292511 cites W2228687373 @default.
• W4306292511 cites W2332951586 @default.
• W4306292511 cites W2413140984 @default.
• W4306292511 cites W2468117238 @default.
• W4306292511 cites W2519513222 @default.
• W4306292511 cites W2607031541 @default.
• W4306292511 cites W2701174192 @default.
• W4306292511 cites W2740032199 @default.
• W4306292511 cites W2795101527 @default.
• W4306292511 cites W2806298067 @default.
• W4306292511 cites W2914783967 @default.
• W4306292511 cites W2921012991 @default.
• W4306292511 cites W2948207261 @default.
• W4306292511 cites W2952506610 @default.
• W4306292511 cites W2955729869 @default.
• W4306292511 cites W2968307460 @default.
• W4306292511 cites W2976398633 @default.
• W4306292511 cites W2981396362 @default.
• W4306292511 cites W2982552115 @default.
• W4306292511 cites W2989943484 @default.
• W4306292511 cites W2990586128 @default.
• W4306292511 cites W3001764054 @default.
• W4306292511 cites W3004601926 @default.
• W4306292511 cites W3082803056 @default.
• W4306292511 cites W3085021865 @default.
• W4306292511 cites W3094773959 @default.
• W4306292511 cites W3113178943 @default.
• W4306292511 cites W3140878199 @default.
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• W4306292511 cites W3202295688 @default.
• W4306292511 cites W3207650202 @default.
• W4306292511 cites W4214533935 @default.
• W4306292511 cites W4220930978 @default.
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• W4306292511 doi "https://doi.org/10.1186/s12933-022-01647-w" @default.
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• W4306292511 hasPublicationYear "2022" @default.
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