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Correlation study on serum miR-222-3p and glucose and lipid metabolism in patients with polycystic ovary syndrome

OBJECTIVE: microRNAs (miRNAs) play pivotal roles in polycystic ovary syndrome (PCOS), an endocrine and metabolic disorder that commonly occurs in women of childbearing age. This paper aimed to measure miR-222-3p expression in sera of PCOS patients and to explore its clinical value on PCOS diagnosis...

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Autores principales: Wang, Qin, Fang, Chuanxiang, Zhao, Ying, Liu, Zhaoxia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9526283/
https://www.ncbi.nlm.nih.gov/pubmed/36182923
http://dx.doi.org/10.1186/s12905-022-01912-w
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author Wang, Qin
Fang, Chuanxiang
Zhao, Ying
Liu, Zhaoxia
author_facet Wang, Qin
Fang, Chuanxiang
Zhao, Ying
Liu, Zhaoxia
author_sort Wang, Qin
collection PubMed
description OBJECTIVE: microRNAs (miRNAs) play pivotal roles in polycystic ovary syndrome (PCOS), an endocrine and metabolic disorder that commonly occurs in women of childbearing age. This paper aimed to measure miR-222-3p expression in sera of PCOS patients and to explore its clinical value on PCOS diagnosis and prediction of diabetic and cardiovascular complications. METHODS: Totally 111 PCOS patients and 94 healthy people were recruited and assigned to the overweight (ow) group and non-overweight (non-ow) group, followed by determination of serum miR-222-3p expression. The diagnostic efficiency of miR-222-3p on PCOS ow and non-ow patients was analyzed. Correlations between miR-222-3p and glycolipid metabolic indicators and diabetic and cardiovascular complications in PCOS were analyzed. The downstream target of miR-222-3p was predicted and their binding relationship was verified. The correlation between PGC-1α and miR-222-3p was analyzed. RESULTS: miR-222-3p was highly-expressed in PCOS patients (p < 0.001), in especially PCOS ow patients. The area under the curve (AUC) of miR-222-3p diagnosing PCOS non-ow patients was 0.9474 and cut-off value was 1.290 (89.06% sensitivity, 98.11% specificity), indicating that non-ow people with serum miR-222-3p > 1.290 could basically be diagnosed with PCOS. AUC of miR-222-3p diagnosing PCOS ow patients was 0.9647 and cut-off value was 2.425 (85.11% sensitivity, 100% specificity), suggesting that ow people with serum miR-222-3p > 2.425 could basically be diagnosed with PCOS. miR-222-3p was positively-correlated with fasting plasma glucose (FPG), fasting insulin (FINS), homeostatic model assessment–insulin resistance (HOMA-IR), and low-density lipoprotein cholesterol (LDL-C) and negatively-correlated with high-density lipoprotein cholesterol (HDL-C). miR-222-3p was independently-correlated with diabetic and cardiovascular complications in PCOS (p < 0.05). High expression of miR-222-3p predicted high risks of diabetic and cardiovascular complications in PCOS. miR-222-3p targeted PGC-1α and was negatively-correlated with PGC-1α (r = − 0.2851, p = 0.0224; r = − 0.3151, p = 0.0310). CONCLUSION: High expression of miR-222-3p assisted PCOS diagnosis and predicted increased risks of diabetic and cardiovascular complications. miR-222-3p targeted PGC-1α and was negatively-correlated with PGC-1α. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12905-022-01912-w.
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spelling pubmed-95262832022-10-02 Correlation study on serum miR-222-3p and glucose and lipid metabolism in patients with polycystic ovary syndrome Wang, Qin Fang, Chuanxiang Zhao, Ying Liu, Zhaoxia BMC Womens Health Research OBJECTIVE: microRNAs (miRNAs) play pivotal roles in polycystic ovary syndrome (PCOS), an endocrine and metabolic disorder that commonly occurs in women of childbearing age. This paper aimed to measure miR-222-3p expression in sera of PCOS patients and to explore its clinical value on PCOS diagnosis and prediction of diabetic and cardiovascular complications. METHODS: Totally 111 PCOS patients and 94 healthy people were recruited and assigned to the overweight (ow) group and non-overweight (non-ow) group, followed by determination of serum miR-222-3p expression. The diagnostic efficiency of miR-222-3p on PCOS ow and non-ow patients was analyzed. Correlations between miR-222-3p and glycolipid metabolic indicators and diabetic and cardiovascular complications in PCOS were analyzed. The downstream target of miR-222-3p was predicted and their binding relationship was verified. The correlation between PGC-1α and miR-222-3p was analyzed. RESULTS: miR-222-3p was highly-expressed in PCOS patients (p < 0.001), in especially PCOS ow patients. The area under the curve (AUC) of miR-222-3p diagnosing PCOS non-ow patients was 0.9474 and cut-off value was 1.290 (89.06% sensitivity, 98.11% specificity), indicating that non-ow people with serum miR-222-3p > 1.290 could basically be diagnosed with PCOS. AUC of miR-222-3p diagnosing PCOS ow patients was 0.9647 and cut-off value was 2.425 (85.11% sensitivity, 100% specificity), suggesting that ow people with serum miR-222-3p > 2.425 could basically be diagnosed with PCOS. miR-222-3p was positively-correlated with fasting plasma glucose (FPG), fasting insulin (FINS), homeostatic model assessment–insulin resistance (HOMA-IR), and low-density lipoprotein cholesterol (LDL-C) and negatively-correlated with high-density lipoprotein cholesterol (HDL-C). miR-222-3p was independently-correlated with diabetic and cardiovascular complications in PCOS (p < 0.05). High expression of miR-222-3p predicted high risks of diabetic and cardiovascular complications in PCOS. miR-222-3p targeted PGC-1α and was negatively-correlated with PGC-1α (r = − 0.2851, p = 0.0224; r = − 0.3151, p = 0.0310). CONCLUSION: High expression of miR-222-3p assisted PCOS diagnosis and predicted increased risks of diabetic and cardiovascular complications. miR-222-3p targeted PGC-1α and was negatively-correlated with PGC-1α. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12905-022-01912-w. BioMed Central 2022-10-01 /pmc/articles/PMC9526283/ /pubmed/36182923 http://dx.doi.org/10.1186/s12905-022-01912-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wang, Qin
Fang, Chuanxiang
Zhao, Ying
Liu, Zhaoxia
Correlation study on serum miR-222-3p and glucose and lipid metabolism in patients with polycystic ovary syndrome
title Correlation study on serum miR-222-3p and glucose and lipid metabolism in patients with polycystic ovary syndrome
title_full Correlation study on serum miR-222-3p and glucose and lipid metabolism in patients with polycystic ovary syndrome
title_fullStr Correlation study on serum miR-222-3p and glucose and lipid metabolism in patients with polycystic ovary syndrome
title_full_unstemmed Correlation study on serum miR-222-3p and glucose and lipid metabolism in patients with polycystic ovary syndrome
title_short Correlation study on serum miR-222-3p and glucose and lipid metabolism in patients with polycystic ovary syndrome
title_sort correlation study on serum mir-222-3p and glucose and lipid metabolism in patients with polycystic ovary syndrome
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9526283/
https://www.ncbi.nlm.nih.gov/pubmed/36182923
http://dx.doi.org/10.1186/s12905-022-01912-w
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