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Urinary Metabolites Reveal Hyperinsulinemia and Insulin Resistance in Polycystic Ovarian Syndrome (PCOS).

Authors :
Fulghesu, Anna Maria
Piras, Cristina
Dessì, Angelica
Succu, Claudia
Atzori, Luigi
Pintus, Roberta
Gentile, Cecilia
Angioni, Stefano
Fanos, Vassilios
Source :
Metabolites (2218-1989); Jul2021, Vol. 11 Issue 7, p437-437, 1p
Publication Year :
2021

Abstract

The identification of insulin resistance and hyperinsulinemia in polycystic ovary syndrome (PCOS) is not a minor issue. The homeostasis model assessment of insulin resistance index (HOMA) is the most used index of IR (Insulin Resistance), validated in overweight and obese patients but not in normal-weight PCOS subjects, who can still present with increased insulin secretion by an oral glucose tolerance test (OGTT). The evaluation of insulin secretion and resistance represents a still unresolved problem. The aim of this study is to identify a possible yet noninvasive method to properly evaluate the insulin metabolism in young non-diabetic subjects. Girls aged 14–22 years, afferent to the center of Gynecological Diseases in Childhood and Adolescence of Cagliari (Italy), were screened for PCOS. A total of 42 subjects comprised the study group. Hormonal assays, OGTT, transabdominal (TA) or transvaginal (TV) US, and urine collection for <superscript>1</superscript>H-NMR analysis were assayed in the early follicular phase. A <superscript>1</superscript>H-NMR coupled multivariate statistical analysis was performed. The OPLS model indicated that the NMR profile of urine had a good fit and prediction ability for the AUC OGTT with R<superscript>2</superscript> = 0.813. Metabolomics can be a promising tool to the potential identification of biomarkers of an exaggerated insulin response to OGTT and can encourage substantial progress for a more accurate and early diagnosis in PCOS. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
22181989
Volume :
11
Issue :
7
Database :
Complementary Index
Journal :
Metabolites (2218-1989)
Publication Type :
Academic Journal
Accession number :
151588982
Full Text :
https://doi.org/10.3390/metabo11070437