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1.
J Endocrinol Invest ; 43(4): 451-459, 2020 Apr.
Article in English | MEDLINE | ID: mdl-31721085

ABSTRACT

PURPOSE: Type 2 diabetes frequently remains undiagnosed for years, whereas early detection of affected individuals would facilitate the implementation of timely and cost-effective therapies, hence decreasing morbidity. With the intention of identifying novel diagnostic biomarkers, we characterized the miRNA profile of microvesicles isolated from retroactive serum samples of normoglycemic individuals and two groups of subjects with prediabetes that in the following 4 years either progressed to overt diabetes or remained stable. METHODS: We profiled miRNAs in serum microvesicles of a selected group of control and prediabetic individuals participating in the PREDAPS cohort study. Half of the subjects with prediabetes were diagnosed with diabetes during the 4 years of follow-up, while the glycemic status of the other half remained unchanged. RESULTS: We identified two miRNAs, miR-10b and miR-223-3p, which target components of the insulin signaling pathway and whose ratio discriminates between these two subgroups of prediabetic individuals at a stage at which other features, including glycemia, are less proficient at separating them. In global, the profile of miRNAs in microvesicles of prediabetic subjects primed to progress to overt diabetes was more similar to that of diabetic patients than the profile of prediabetic subjects who did not progress. CONCLUSION: We have identified a miRNA signature in serum microvesicles that can be used as a new screening biomarker to identify subjects with prediabetes at high risk of developing diabetes, hence allowing the implementation of earlier, and probably more effective, therapeutic interventions.


Subject(s)
Cell-Derived Microparticles/metabolism , Diabetes Mellitus, Type 2/blood , MicroRNAs/metabolism , Prediabetic State/blood , Aged , Biomarkers/blood , Blood Glucose/metabolism , Disease Progression , Female , Humans , Middle Aged
2.
J Endocrinol Invest ; 41(7): 799-808, 2018 Jul.
Article in English | MEDLINE | ID: mdl-29235050

ABSTRACT

PURPOSE: Arginine vasopressin (AVP) may be involved in metabolic syndrome (MetS) by altering liver glycogenolysis, insulin and glucagon secretion, and pituitary ACTH release. Moreover, AVP stimulates the expression of 11ß-hydroxysteroid-dehydrogenase-type 2 (11ß-HSD2) in mineralocorticosteroid cells. We explored whether apparent 11ß-HSD2 activity, estimated using urinary cortisol-to-cortisone ratio, modulates the association between plasma copeptin, as AVP surrogate, and insulin resistance/MetS in the general adult population. METHODS: This was a multicentric, family-based, cross-sectional sample of 1089 subjects, aged 18-90 years, 47% men, 13.4% MetS, in Switzerland. Mixed multivariable linear and logistic regression models were built to investigate the association of insulin resistance (HOMA-IR)/fasting glucose and MetS/Type 2 Diabetes with copeptin, while considering potential confounders or effect modifiers into account. Stratified results by age and 11ß-HSD2 activity were presented as appropriate. RESULTS: Plasma copeptin was higher in men [median 5.2, IQR (3.7-7.8) pmol/L] than in women [median 3.0, IQR (2.2-4.3) pmol/L], P < 0.0001. HOMA-IR was positively associated with copeptin after full adjustment if 11ß-HSD2 activity was high [ß (95% CI) = 0.32 (0.17-0.46), P < 0.001] or if age was high [ß (95% CI) = 0.34 (0.20-0.48), P < 0.001], but not if either 11ß-HSD2 activity or age was low. There was a positive association of type 2 diabetes with copeptin [OR (95% CI) = 2.07 (1.10-3.89), P = 0.024), but not for MetS (OR (95% CI) = 1.12 (0.74-1.69), P = 0.605), after full adjustment. CONCLUSIONS: Our data suggest that age and apparent 11ß-HSD2 activity modulate the association of copeptin with insulin resistance at the population level but not MeTS or diabetes. Further research is needed to corroborate these results and to understand the mechanisms underlying these findings.


Subject(s)
11-beta-Hydroxysteroid Dehydrogenase Type 2/metabolism , Aging/metabolism , Glycopeptides/blood , Insulin Resistance/physiology , Adult , Age Factors , Aged , Aged, 80 and over , Aging/blood , Cross-Sectional Studies , Diabetes Mellitus, Type 2/complications , Diabetes Mellitus, Type 2/metabolism , Female , Humans , Male , Metabolic Syndrome/metabolism , Middle Aged , Young Adult
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