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1.
Int J Obes (Lond) ; 43(7): 1363-1369, 2019 07.
Article in English | MEDLINE | ID: mdl-30568272

ABSTRACT

OBJECTIVE: To assess whether combining glucose shape and 2-h glucose concentration during an oral glucose tolerance test (OGTT) may help identifying normal glucose tolerant obese children/adolescents with an impaired glucose tolerant (IGT)-like metabolic profile in term of insulin sensitivity (Matsuda index) and ß-cell function (disposition index: DI). SUBJECTS, METHODS, AND MAIN OUTCOME MEASURE: In total, 654 non-diabetic obese children/adolescents underwent a 2 h OGTT. The whole population was classified according to 2-hour plasma glucose ( < 100, 100-119, 120-139, 140-200 mg/dL) and glucose shape (monophasic or biphasic). Monophasic morphology was characterized by an increase in OGTT glucose concentration followed by a decline of at least 4.5 mg/dL, a biphasic response was defined as a decrease in glucose after an initial increase, followed by a second increase of ≥ 4.5 mg/dL. A subset of 69 participants had also a prolonged OGTT to estimate ß-cell function in "biphasic" versus "monophasic" patients. RESULTS: Matsuda index and DI decreased across 2-h glucose categories (both p < 0.001) and were lower in monophasic compared with biphasic children, independently of 2-h glucose category (both p < 0.001, both p for glucose category×shape interaction > 0.05). Normal glucose tolerant children with 2-h glucose of 120-139 mg/dl and monophasic glucose shape did not differ from IGT children, as regards Matsuda index and DI (both p > 0.05). Among children undergoing a prolonged OGTT, those with a monophasic glucose shape had worse ß-cell function, modeled as proportional control, than those with a biphasic shape (p = 0.031). CONCLUSIONS: A monophasic OGTT glucose shape is associated with unfavorable glucose metabolism independently of 2-h glucose concentration. Children combining monophasic shape and normal-high 2-h glucose have an IGT-like glucose metabolism.


Subject(s)
Glucose/metabolism , Insulin Resistance/physiology , Pediatric Obesity/metabolism , Adolescent , Child , Cross-Sectional Studies , Female , Glucose Tolerance Test , Humans , Longitudinal Studies , Male , Pediatric Obesity/physiopathology , Physical Examination
2.
Diabetes Res Clin Pract ; 144: 137-143, 2018 Oct.
Article in English | MEDLINE | ID: mdl-30153470

ABSTRACT

This study aims to investigate whether renal and cardiovascular phenotypes in Italian patients with type 2 diabetes (T2D) could be influenced by a number of disease risk SNPs recently found in genome-wide association studies (GWAS). In 1591 Italian subjects with T2D: (1) 47 SNPs associated to kidney function and/or chronic kidney disease (CKD) and 49 SNPs associated to cardiovascular disease (CVD) risk were genotyped; (2) urinary albumin/creatinine (A/C) ratio, glomerular filtration rate (eGFR) and lipid profile were assessed; (3) a standard electrocardiogram was performed; (4) two genotype risk scores (GRS) were computed (a renal GRS calculated selecting 39 SNPs associated with intermediate traits of kidney damage and a cardiovascular GRS determined selecting 42 SNPs associated to CVD risk phenotypes). After correction for multiple comparisons, the renal GRS was not associated to A/C ratio (p = 0.33), but it was significantly related to decreased eGFR (p = 0.005). No association between the cardiovascular GRS and electrocardiogram was detected. Thus, in Italian patients with T2D a renal GRS might predict the decline in glomerular function, suggesting that the clock of diabetes associated CKD starts ticking long before hyperglycemia. Our data support the feasibility of gene-based prediction of complications in people with T2D.


Subject(s)
Diabetes Mellitus, Type 2/genetics , Genetic Markers , Genetic Predisposition to Disease , Genome-Wide Association Study , Polymorphism, Single Nucleotide , Renal Insufficiency, Chronic/pathology , Aged , Diabetes Mellitus, Type 2/complications , Female , Genotype , Glomerular Filtration Rate , Humans , Male , Middle Aged , Renal Insufficiency, Chronic/etiology , Risk Assessment , Risk Factors
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