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AuthorDiboun, Ilhame
AuthorAl-Mansoori, Layla
AuthorAl-Jaber, Hend
AuthorAlbagha, Omar
AuthorElrayess, Mohamed A
Available date2020-10-29T05:17:49Z
Publication Date2020-10-01
Publication NameThe Journal of Clinical Endocrinology & Metabolism
Identifierhttp://dx.doi.org/10.1210/clinem/dgaa732
CitationIlhame Diboun, Layla Al-Mansoori, Hend Al-Jaber, Omar Albagha, Mohamed A Elrayess, Metabolomics of lean/overweight insulin resistant females reveals alterations in steroids and fatty acids, The Journal of Clinical Endocrinology & Metabolism, , dgaa732, https://doi.org/10.1210/clinem/dgaa732
ISSN0021-972X
URIhttp://hdl.handle.net/10576/16827
AbstractThe global diabetes epidemic is largely attributed to obesity-triggered metabolic syndrome. However, the impact of insulin resistance (IR) prior to obesity on the high prevalence of diabetes and the molecular mediators remain largely unknown. This study aims to compare the metabolic profiling of apparently healthy lean/overweight participants with IR and insulin sensitivity (IS), and identify the metabolic pathways underlying IR. In this cross-sectional study, clinical and metabolic data for 200 seemingly healthy young females (100 IR and 100 IS) was collected from Qatar Biobank. Orthogonal partial least square analysis was performed to assess the extent of separation between individuals from the two groups based on measured metabolites. Classical linear models were used to identify the metabolic signature of IR, followed by elastic-net-regularized generalized linear model (GLMNET) and Receiver Operating Characteristic (ROC) analysis to determine top metabolites associated with IR. Compared to lean/overweight participants with IS, those with IR showed increased androgenic steroids, including androsterone glucuronide, in addition to various microbiota byproducts, such as the phenylalanine-derivative carboxyethylphenylalanine. On the other hand, participant with IS had elevated levels of long chain fatty acids. A ROC analysis suggested a better discriminatory performance using 20 metabolites selected by GLMNET in comparison to the classical clinical traits (area under curve: 0.93 vs 0.73, respectively). Our data confirm the multifactorial mechanism of IR with diverse spectrum of emerging potential biomarkers, including steroids, long chain fatty acids and microbiota metabolites. Further studies are warranted to validate these markers for diagnostic and therapeutic applications.
Languageen
PublisherEndocrine Society
SubjectBiomarkers
Insulin resistance
Insulin sensitivity
Lean/overweight
Metabolomics
TitleMetabolomics of lean/overweight insulin resistant females reveals alterations in steroids and fatty acids.
TypeArticle
ESSN1945-7197
dc.accessType Full Text


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