تجاوز إلى المحتوى الرئيسي

Use of Mesenchymal Stem Cells in Experimental Ovarian Da

Author name : EMAN HASSAN ABDELRAHMAN MOHAMED NADWA
Publication Date : 2024-07-01
Journal Name : Current Stem Cell Research & Therapy

Abstract

Background: Bisphenol-A (BPA) has a well-proven deleterious effect on the hypothalamicpituitary- gonadal axis.

Objectives: The current study investigated the therapeutic potentials of mesenchymal stem cells (MSCs) in a murine model of BPA-induced ovarian damage.

Methods: Fifty adult female rats were divided into: Group 1; control group, Group IIa, IIb: rats were given oral gavage of BPA (25 and 50 mg/Kg body weight respectively) on a daily basis for 15 days, and Group IIIa, IIIb; rats were intravenously treated with of MSCs (106 cells) after receiving the last dose of BPA as in group II. Plasma and ovarian tissue levels of Malondialdehyde (MDA) and gonadal axis hormones were assessed. Apoptosis was evaluated by TUNNEL assay and by apoptosis markers (FAS, FASL, Caspase 3, SLTM). A histological examination of ovarian tissue was also conducted.

Results: BPA resulted in a significant elevation in plasma levels of LH, FSH, and ovarian tissue levels of MDA and a significant decrease in estradiol and progesterone. All genetic and protein markers of apoptosis were elevated in BPA treated group with decreased oestrogen receptor expression in the ovarian tissue. Increased apoptotic cells were confirmed by TUNEL assay. A high dose of BPA was able to increase the number of atretic follicles in the ovarian tissue whereas the numbers of primordial, primary, secondary and Graafian follicles were decreased. All the laboratory and histological abnormalities were ameliorated by treatment with MSCs.

Conclusion: The antioxidant and anti-apoptotic effects of MSCs could possibly explain the ability of this therapeutic modality to ameliorate BPA-induced-ovarian damage.

Keywords

Apoptosis; bisphenol A; gonadal hormone; malondialdehyde; mesenchymal stem cells; ovarian damage

Publication Link

https://doi.org/10.2174/1574888X18666230713121530

Block_researches_list_suggestions

Suggestions to read

HIDS-IoMT: A Deep Learning-Based Intelligent Intrusion Detection System for the Internet of Medical Things
Ahlem . Harchy Ep Berguiga
Generalized first approximation Matsumoto metric
AMR SOLIMAN MAHMOUD HASSAN
Structure–Performance Relationship of Novel Azo-Salicylaldehyde Disperse Dyes: Dyeing Optimization and Theoretical Insights
EBTSAM KHALEFAH H ALENEZY
“Synthesis and Characterization of SnO₂/α-Fe₂O₃, In₂O₃/α-Fe₂O₃, and ZnO/α-Fe₂O₃ Thin Films: Photocatalytic and Antibacterial Applications”
Asma Arfaoui
تواصل معنا