biostudies-literatureUnknown24(8)Peach JTMontana State University Office of Research Economic Development and Graduate EducationMontana State University BozemanNational Institutes of HealthChronic low-grade inflammation is a subclinical condition directly and indirectly linked to the development of a wide range of diseases responsible for the vast majority of morbidity. To examine mechanisms coupled to chronic disease, a group of overweight and obese human subjects without known inflammatory diseases participated in a high-fat meal challenge as an acute inflammation stimulus. Analysis of serum metabolites grouped by baseline cytokine levels revealed that single samples had little power in differentiating groups. However, an analysis that incorporated temporal response separated inflammatory response phenotypes and allowed us to create a metabolic signature of inflammation which revealed metabolic components that are crucial to a cytokine-mediated inflammation response. The use of temporal response, rather than a single time point, improved metabolomic prediction of high postprandial inflammation responses and led to the development of a dynamic biosignature as a potential tool for stratifying risk to a wide range of diseases.iScience102817https://www.ebi.ac.uk/biostudies/studies/S-EPMC8319798biostudies-literatureTemporal metabolic response yields a dynamic biosignature of inflammation.PMC8319798Bothner BTran TPeach JTFrothingham LWilson SMGunderson LDMiles MPYeoman CJWalk STfalseTemporal metabolic response yields a dynamic biosignature of inflammation.Chronic low-grade inflammation is a subclinical condition directly and indirectly linked to the development of a wide range of diseases responsible for the vast majority of morbidity. To examine mechanisms coupled to chronic disease, a group of overweight and obese human subjects without known inflammatory diseases participated in a high-fat meal challenge as an acute inflammation stimulus. Analysis of serum metabolites grouped by baseline cytokine levels revealed that single samples had little power in differentiating groups. However, an analysis that incorporated temporal response separated inflammatory response phenotypes and allowed us to create a metabolic signature of inflammation which revealed metabolic components that are crucial to a cytokine-mediated inflammation response. The use of temporal response, rather than a single time point, improved metabolomic prediction of high postprandial inflammation responses and led to the development of a dynamic biosignature as a potential tool for stratifying risk to a wide range of diseases.2021-01-01T00:00:00Z2021 Aug2024-10-18T03:07:35.519Z2022-02-11T05:38:02.142ZS-EPMC83197983435515010.1016/j.isci.2021.102817