Urinary Metabolites Reveal Hyperinsulinemia and Insulin Resistance in Polycystic Ovarian Syndrome (PCOS)
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-...
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doaj-0c312be4f1624364bd5890a36dca90cc2021-07-23T13:53:43ZengMDPI AGMetabolites2218-19892021-07-011143743710.3390/metabo11070437Urinary Metabolites Reveal Hyperinsulinemia and Insulin Resistance in Polycystic Ovarian Syndrome (PCOS)Anna Maria Fulghesu0Cristina Piras1Angelica Dessì2Claudia Succu3Luigi Atzori4Roberta Pintus5Cecilia Gentile6Stefano Angioni7Vassilios Fanos8Clinica Ostetrica Ginecologica, Department of Surgical Science, Duilio Casula Hospital, University of Cagliari, SS 554, km 4.5, 09042 Monserrato, ItalyDepartment of Biomedical Sciences, University of Cagliari, SS 554, km 4.5, 09042 Monserrato, ItalyNeonatal Intensive Care Unit, Neonatal Pathology and Neonatal Section, University of Cagliari, SS 554, km 4.5, 09042 Monserrato, ItalyClinica Ostetrica Ginecologica, Department of Surgical Science, Duilio Casula Hospital, University of Cagliari, SS 554, km 4.5, 09042 Monserrato, ItalyDepartment of Biomedical Sciences, University of Cagliari, SS 554, km 4.5, 09042 Monserrato, ItalyNeonatal Intensive Care Unit, Neonatal Pathology and Neonatal Section, University of Cagliari, SS 554, km 4.5, 09042 Monserrato, ItalyClinica Ostetrica Ginecologica, Department of Surgical Science, Duilio Casula Hospital, University of Cagliari, SS 554, km 4.5, 09042 Monserrato, ItalyClinica Ostetrica Ginecologica, Department of Surgical Science, Duilio Casula Hospital, University of Cagliari, SS 554, km 4.5, 09042 Monserrato, ItalyNeonatal Intensive Care Unit, Neonatal Pathology and Neonatal Section, University of Cagliari, SS 554, km 4.5, 09042 Monserrato, ItalyThe 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 <sup>1</sup>H-NMR analysis were assayed in the early follicular phase. A <sup>1</sup>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<sup>2</sup> = 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.https://www.mdpi.com/2218-1989/11/7/437PCOSinsulin resistancehyperinsulinemiaurine metabolomics |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Anna Maria Fulghesu Cristina Piras Angelica Dessì Claudia Succu Luigi Atzori Roberta Pintus Cecilia Gentile Stefano Angioni Vassilios Fanos |
spellingShingle |
Anna Maria Fulghesu Cristina Piras Angelica Dessì Claudia Succu Luigi Atzori Roberta Pintus Cecilia Gentile Stefano Angioni Vassilios Fanos Urinary Metabolites Reveal Hyperinsulinemia and Insulin Resistance in Polycystic Ovarian Syndrome (PCOS) Metabolites PCOS insulin resistance hyperinsulinemia urine metabolomics |
author_facet |
Anna Maria Fulghesu Cristina Piras Angelica Dessì Claudia Succu Luigi Atzori Roberta Pintus Cecilia Gentile Stefano Angioni Vassilios Fanos |
author_sort |
Anna Maria Fulghesu |
title |
Urinary Metabolites Reveal Hyperinsulinemia and Insulin Resistance in Polycystic Ovarian Syndrome (PCOS) |
title_short |
Urinary Metabolites Reveal Hyperinsulinemia and Insulin Resistance in Polycystic Ovarian Syndrome (PCOS) |
title_full |
Urinary Metabolites Reveal Hyperinsulinemia and Insulin Resistance in Polycystic Ovarian Syndrome (PCOS) |
title_fullStr |
Urinary Metabolites Reveal Hyperinsulinemia and Insulin Resistance in Polycystic Ovarian Syndrome (PCOS) |
title_full_unstemmed |
Urinary Metabolites Reveal Hyperinsulinemia and Insulin Resistance in Polycystic Ovarian Syndrome (PCOS) |
title_sort |
urinary metabolites reveal hyperinsulinemia and insulin resistance in polycystic ovarian syndrome (pcos) |
publisher |
MDPI AG |
series |
Metabolites |
issn |
2218-1989 |
publishDate |
2021-07-01 |
description |
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 <sup>1</sup>H-NMR analysis were assayed in the early follicular phase. A <sup>1</sup>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<sup>2</sup> = 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. |
topic |
PCOS insulin resistance hyperinsulinemia urine metabolomics |
url |
https://www.mdpi.com/2218-1989/11/7/437 |
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