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How to transform a metabolic syndrome score into an insulin sensitivity value?

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Hermans, Michel [UCL] Bouenizabila, Evariste Ahn, Sylvie [UCL] Rousseau, Michel [UCL]

(eng) BACKGROUND: The metabolic syndrome (MetS) predicts cardiovascular risk and incident type 2 diabetes mellitus. The presence of a MetS is defined by the clustering of ≥3 out of 5 cardiometabolic criteria (hyperglycemia; hypertension; enlarged waist; low high-density lipoprotein-cholesterol; and hypertriglyceridemia), each of which is connected with insulin resistance. It is not known whether the severity of MetS, ranked from the sextet of scores range [0/5 to 5/5], is linearly related to reduced insulin sensitivity (IS) and/or lesser hyperbolic product across the glycemic spectrum. PATIENTS AND METHODS: A total of 839 adults (54 normoglycemic; 785 with abnormal glucose homeostasis, among whom 711 type 2 diabetes mellitus) had insulin sensitivity assessed together with their cardiometabolic phenotype. RESULTS: There was a significant gradient according to interval-scale MetS score in insulinemia; body mass index; (visceral) fat; hepatic steatosis; and macroangiopathy. There was an inverse linear relationship between increasing MetS scores and decreased insulin sensitivity, allowing to define an insulin resistance-predicting linear equation: IS (%) = [-15.1 × MetS score] + 109.4 (R(2)  = 0.221). For each MetS category, mean IS values did not significantly differ between groups of patients across the glycemic spectrum. The hyperbolic product (β-cell function × IS) and/or its loss rate were inversely related to MetS severity. CONCLUSION: Insulin sensitivity is linearly and inversely related to MetS severity across the 6 scores. This novel way to exploit information intrinsic to the MetS criteria provides an easy and low cost means to quantify insulin sensitivity across the glycemic spectrum. Moreover, a higher MetS score is associated with lesser residual insulin secretion, and faster B-cell function loss.

Document type Article de périodique (Journal article) – Article de recherche
Access type Accès restreint
Publication date 2016
Language Anglais
Journal information "Diabetes - Metabolism: Research and Reviews" - Vol. 32, no. 1, p. 87-94 (2016)
Peer reviewed yes
Publisher Wiley-Blackwell ((United Kingdom) Oxford)
issn 1520-7552
e-issn 1520-7560
Publication status Publié
Affiliations UCL - (SLuc) Service d'endocrinologie et de nutrition
UCL - (SLuc) Service de cardiologie
UCL - SSS/IREC/CARD - Pôle de recherche cardiovasculaire
UCL - SSS/IREC/EDIN - Pôle d'endocrinologie, diabète et nutrition
MESH Subject Aged ; Female ; Humans ; Insulin ; Insulin Resistance ; Insulin-Secreting Cells ; Linear Models ; Male ; Metabolic Syndrome X ; Middle Aged ; Prediabetic State ; Algorithms ; Prevalence ; Risk Factors ; Severity of Illness Index ; Belgium ; Cardiovascular Diseases ; Cohort Studies ; Cross-Sectional Studies ; Diabetes Mellitus, Type 2 ; Diabetic Angiopathies ; Diabetic Cardiomyopathies
Keywords Hyperbolic product ; Impaired fasting glucose ; Insulin secretion ; Insulin sensitivity ; Metabolic syndrome ; Type 2 diabetes
Links
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Bibliographic reference Hermans, Michel ; Bouenizabila, Evariste ; Ahn, Sylvie ; Rousseau, Michel. How to transform a metabolic syndrome score into an insulin sensitivity value?. In: Diabetes - Metabolism: Research and Reviews, Vol. 32, no. 1, p. 87-94 (2016)
Permanent URL http://hdl.handle.net/2078.1/184433