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Urine levels of estrogen and its metabolites in premenopausal middle-aged women with different degrees of obesity and their correlation with glucose and lipid metabolism

OBJECTIVES: To determine the levels of estrogen and estrogen metabolites in the urine of premenopausal women with obesity and their correlation with glucose and lipid metabolism. METHORDS: 135 premenopausal women were selected from the same area. According to the body mass index (BMI), they were div...

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Autores principales: Zhao, Huanhuan, Yang, Hongfang, Li, Zhiwei, Ge, Zhonghuan, Zhou, Mei, Li, Li, He, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10696012/
http://dx.doi.org/10.1016/j.heliyon.2023.e22362
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author Zhao, Huanhuan
Yang, Hongfang
Li, Zhiwei
Ge, Zhonghuan
Zhou, Mei
Li, Li
He, Jing
author_facet Zhao, Huanhuan
Yang, Hongfang
Li, Zhiwei
Ge, Zhonghuan
Zhou, Mei
Li, Li
He, Jing
author_sort Zhao, Huanhuan
collection PubMed
description OBJECTIVES: To determine the levels of estrogen and estrogen metabolites in the urine of premenopausal women with obesity and their correlation with glucose and lipid metabolism. METHORDS: 135 premenopausal women were selected from the same area. According to the body mass index (BMI), they were divided into four different groups. High performance liquid chromatography-mass spectrometry (HPLC/MS) was adopted to detect the concentrations of estrogen and estrogen metabolites in the urine. The influencing factors of BMI were analyzed, the correlation between the urinary degrees of estrogen and estrogen metabolites and glucose and lipid metabolism levels was assessed. RESULTS: (1) The concentrations of 17β-estradiol (E2), estrone (E1), 16α-hydroxyestrone (16α-OHE1) and 2-hydroxyestrone (2-OHE1) gradually increased with increasing BMI (p < 0.05). (2) Stepwise regression analysis displayed that the concentrations of E2, 16α-OHE1 and 2-OHE1 in urine were significantly positively correlated with BMI (p < 0.05). (3) The concentrations of E2, E1, 16α-OHE1, 2-OHE1 and 16α-OHE1/2-OHE1 in urine were greatly positively related to fasting insulin (FIN), Triglyceride (TG), Total Cholesterol (TC) and Low-density lipoprotein (LDL) (p < 0.05). And they were greatly negatively related to High-density lipoprotein (HDL) (p < 0.05). CONCLUSIONS: Early screening can reflect the degree of obesity and glucose and lipid metabolism disorders in premenopausal middle-aged women, thereby providing guidance for improving the prognosis of obese women.
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spelling pubmed-106960122023-12-06 Urine levels of estrogen and its metabolites in premenopausal middle-aged women with different degrees of obesity and their correlation with glucose and lipid metabolism Zhao, Huanhuan Yang, Hongfang Li, Zhiwei Ge, Zhonghuan Zhou, Mei Li, Li He, Jing Heliyon Research Article OBJECTIVES: To determine the levels of estrogen and estrogen metabolites in the urine of premenopausal women with obesity and their correlation with glucose and lipid metabolism. METHORDS: 135 premenopausal women were selected from the same area. According to the body mass index (BMI), they were divided into four different groups. High performance liquid chromatography-mass spectrometry (HPLC/MS) was adopted to detect the concentrations of estrogen and estrogen metabolites in the urine. The influencing factors of BMI were analyzed, the correlation between the urinary degrees of estrogen and estrogen metabolites and glucose and lipid metabolism levels was assessed. RESULTS: (1) The concentrations of 17β-estradiol (E2), estrone (E1), 16α-hydroxyestrone (16α-OHE1) and 2-hydroxyestrone (2-OHE1) gradually increased with increasing BMI (p < 0.05). (2) Stepwise regression analysis displayed that the concentrations of E2, 16α-OHE1 and 2-OHE1 in urine were significantly positively correlated with BMI (p < 0.05). (3) The concentrations of E2, E1, 16α-OHE1, 2-OHE1 and 16α-OHE1/2-OHE1 in urine were greatly positively related to fasting insulin (FIN), Triglyceride (TG), Total Cholesterol (TC) and Low-density lipoprotein (LDL) (p < 0.05). And they were greatly negatively related to High-density lipoprotein (HDL) (p < 0.05). CONCLUSIONS: Early screening can reflect the degree of obesity and glucose and lipid metabolism disorders in premenopausal middle-aged women, thereby providing guidance for improving the prognosis of obese women. Elsevier 2023-11-15 /pmc/articles/PMC10696012/ http://dx.doi.org/10.1016/j.heliyon.2023.e22362 Text en © 2023 Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Zhao, Huanhuan
Yang, Hongfang
Li, Zhiwei
Ge, Zhonghuan
Zhou, Mei
Li, Li
He, Jing
Urine levels of estrogen and its metabolites in premenopausal middle-aged women with different degrees of obesity and their correlation with glucose and lipid metabolism
title Urine levels of estrogen and its metabolites in premenopausal middle-aged women with different degrees of obesity and their correlation with glucose and lipid metabolism
title_full Urine levels of estrogen and its metabolites in premenopausal middle-aged women with different degrees of obesity and their correlation with glucose and lipid metabolism
title_fullStr Urine levels of estrogen and its metabolites in premenopausal middle-aged women with different degrees of obesity and their correlation with glucose and lipid metabolism
title_full_unstemmed Urine levels of estrogen and its metabolites in premenopausal middle-aged women with different degrees of obesity and their correlation with glucose and lipid metabolism
title_short Urine levels of estrogen and its metabolites in premenopausal middle-aged women with different degrees of obesity and their correlation with glucose and lipid metabolism
title_sort urine levels of estrogen and its metabolites in premenopausal middle-aged women with different degrees of obesity and their correlation with glucose and lipid metabolism
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10696012/
http://dx.doi.org/10.1016/j.heliyon.2023.e22362
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