Literature DB >> 23454585

Metabolomic changes in follicular fluid induced by soy isoflavones administered to rats from weaning until sexual maturity.

Wenxiang Wang1, Wenchang Zhang, Jin Liu, Yan Sun, Yuchen Li, Hong Li, Shihua Xiao, Xiaohua Shen.   

Abstract

Female Wistar rats at 21 days of age were treated with one of three concentrations of soy isoflavones (SIF) (50, 100 or 200mg/kg body weight, orally, once per day) from weaning until sexual maturity (3 months) in order to evaluate the influence of SIF on ovarian follicle development. After treatment, the serum sex hormone levels and enumeration of ovarian follicles of the ovary were measured. The metabolic profile of follicular fluid was determined using HPLC-MS. Principal component analysis (PCA) and partial least-squares-discriminant analysis (PLS-DA) was used to identify differences in metabolites and reveal useful toxic biomarkers. The results indicated that modest doses of SIF affect ovarian follicle development, as demonstrated by decreased serum estradiol levels and increases in both ovarian follicle atresia and corpora lutea number in the ovary. SIF treatment-related metabolic alterations in follicular fluid were also found in the PCA and PLS-DA models. The 24 most significantly altered metabolites were identified, including primary sex hormones, amino acids, fatty acids and metabolites involved in energy metabolism. These findings may indicate that soy isoflavones affect ovarian follicle development by inducing metabolomic variations in the follicular fluid.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23454585     DOI: 10.1016/j.taap.2013.02.005

Source DB:  PubMed          Journal:  Toxicol Appl Pharmacol        ISSN: 0041-008X            Impact factor:   4.219


  5 in total

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Review 4.  REPRODUCTIVE TOXICOLOGY: Effects of chemical mixtures on the ovary.

Authors:  Vasiliki E Mourikes; Jodi A Flaws
Journal:  Reproduction       Date:  2021-10-05       Impact factor: 3.923

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Authors:  Fang-Nong Lai; Xue-Lian Liu; Na Li; Rui-Qian Zhang; Yong Zhao; Yan-Zhong Feng; Charles Martin Nyachoti; Wei Shen; Lan Li
Journal:  Aging (Albany NY)       Date:  2018-11-25       Impact factor: 5.682

  5 in total

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