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Serum Retinal and Retinoic Acid Predict the Development of Type 2 Diabetes Mellitus in Korean Subjects with Impaired Fasting Glucose from the KCPS-II Cohort

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dc.contributor.author지선하-
dc.date.accessioned2021-09-29T01:59:23Z-
dc.date.available2021-09-29T01:59:23Z-
dc.date.issued2021-08-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/184652-
dc.description.abstractWe aimed to investigate whether retinal and retinoic acid (RA), which are newly discovered biomarkers from our previous research, reliably predict type 2 diabetes mellitus (T2DM) development in subjects with impaired fasting glucose (IFG). Among the Korean Cancer Prevention Study (KCPS)-II cohort, subjects were selected and matched by age and sex (IFG-IFG group, n = 100 vs. IFG-DM group, n = 100) for study 1. For real-world validation of two biomarkers (study 2), other participants in the KCPS-II cohort who had IFG at baseline (n = 500) were selected. Targeted LC/MS was used to analyze the baseline serum samples; retinal and RA levels were quantified. In study 1, we revealed that both biomarkers were significantly decreased in the IFG-DM group (retinal, p = 0.017; RA, p < 0.001). The obese subjects in the IFG-DM group showed markedly lower retinal (p = 0.030) and RA (p = 0.003) levels than those in the IFG-IFG group. In study 2, the results for the two metabolites tended to be similar to those of study 1, but no significant difference was observed. Notably, the predictive ability for T2DM was enhanced when the metabolites were added to conventional risk factors for T2DM in both studies (study 1, AUC 0.682 → 0.775; study 2, AUC 0.734 → 0.786). The results suggest that retinal- and RA-related metabolic pathways are altered before the onset of T2DM.-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherMDPI-
dc.relation.isPartOfMETABOLITES-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleSerum Retinal and Retinoic Acid Predict the Development of Type 2 Diabetes Mellitus in Korean Subjects with Impaired Fasting Glucose from the KCPS-II Cohort-
dc.typeArticle-
dc.contributor.collegeGraduate School of Public Health (보건대학원)-
dc.contributor.departmentGraduate School of Public Health (보건대학원)-
dc.contributor.googleauthorYoungmin Han-
dc.contributor.googleauthorYeunsoo Yang-
dc.contributor.googleauthorMinjoo Kim-
dc.contributor.googleauthorSun Ha Jee-
dc.contributor.googleauthorHye Jin Yoo-
dc.contributor.googleauthorJong Ho Lee-
dc.identifier.doi10.3390/metabo11080510-
dc.contributor.localIdA03965-
dc.relation.journalcodeJ03962-
dc.identifier.eissn2218-1989-
dc.subject.keywordtype 2 diabetes mellitus-
dc.subject.keywordretinal-
dc.subject.keywordretinoic acid-
dc.subject.keywordbiomarker-
dc.subject.keyworddisease prediction-
dc.subject.keywordliquid chromatography–mass spectrometry-
dc.contributor.alternativeNameJee, Sun Ha-
dc.contributor.affiliatedAuthor지선하-
dc.citation.volume11-
dc.citation.number8-
dc.citation.startPage510-
dc.identifier.bibliographicCitationMETABOLITES, Vol.11(8) : 510, 2021-08-
Appears in Collections:
4. Graduate School of Public Health (보건대학원) > Graduate School of Public Health (보건대학원) > 1. Journal Papers

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