Pyrroloquinoline-quinone supplementation restores ovarian function and oocyte quality in a mouse model of advanced maternal age

吡咯喹啉醌 生物 卵母细胞 男科 细胞生物学 生物化学 胚胎 医学 辅因子
作者
Kemei Zhang,Rui Xu,Jinzhao Ma,Lu Zheng,Hong Zhang,Li Zhou,Hong Weng,Xiaoyue Yang,Ying Hu,Xueqing Chen,Shu Jing
出处
期刊:Biology of Reproduction [Oxford University Press]
标识
DOI:10.1093/biolre/ioae174
摘要

Abstract Natural ovarian aging is one of the major causes for declining fertility in female animals, which has become an insurmountable issue in human reproduction clinics and assisted reproductive technology procedures. Nevertheless, the molecular basis of oocyte aging remains poorly understood, and feasible improvement strategies are unavailable. In the present study, in vivo supplementation of pyrroloquinoline-quinone effectively elevated the fecundity of reproductively aged mice by balancing hormonal secretion, harmonizing the estrus cycle, and eliminating ovarian fibrosis. Moreover, oocyte quality also increased in aged mice after pyrroloquinoline-quinone administration from various aspects, including nuclear and cytoplasmic maturation competency, fertilization capacity, and pre-implantation embryonic development potential. Transcriptomic analysis identified target pathways that might mediate pyrroloquinoline-quinone’s effects in aged oocytes. Specifically, it was demonstrated that pyrroloquinoline-quinone supplementation restored the mitochondrial dynamics and lysosomal function to remove excessive reactive oxygen species and suppress apoptosis in aged oocytes. Jointly, these findings demonstrate pyrroloquinoline-quinone administration is an efficacious method to restore the compromised ovary function and damaged oocyte quality in reproductively aged mice, which might be a potential clinical therapy for women of advanced maternal age with infertility.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
2秒前
4秒前
粉色发布了新的文献求助10
4秒前
搜集达人应助大力的元柏采纳,获得10
4秒前
5秒前
6秒前
bingice7关注了科研通微信公众号
6秒前
7秒前
7秒前
丘比特应助科研通管家采纳,获得10
7秒前
搜集达人应助科研通管家采纳,获得10
7秒前
ming应助科研通管家采纳,获得20
7秒前
在水一方应助科研通管家采纳,获得10
7秒前
蒋楚涵完成签到,获得积分10
7秒前
7秒前
7秒前
科研通AI5应助科研通管家采纳,获得10
8秒前
8秒前
大模型应助科研通管家采纳,获得10
8秒前
爆米花应助科研通管家采纳,获得10
8秒前
李健应助科研通管家采纳,获得10
8秒前
科研通AI5应助科研通管家采纳,获得10
8秒前
sutharsons应助科研通管家采纳,获得100
8秒前
8秒前
英姑应助科研通管家采纳,获得10
8秒前
SciGPT应助科研通管家采纳,获得10
9秒前
Rebeccaiscute完成签到 ,获得积分10
9秒前
科研通AI2S应助科研通管家采纳,获得10
9秒前
Akim应助科研通管家采纳,获得10
9秒前
科研通AI5应助科研通管家采纳,获得10
9秒前
大模型应助科研通管家采纳,获得10
9秒前
Jasper应助科研通管家采纳,获得10
9秒前
9秒前
9秒前
9秒前
guangshuang发布了新的文献求助10
10秒前
J卡卡K完成签到 ,获得积分10
11秒前
GC发布了新的文献求助10
11秒前
Dado完成签到,获得积分10
12秒前
研友_LaOrMZ发布了新的文献求助10
14秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Animal Physiology 2000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3740036
求助须知:如何正确求助?哪些是违规求助? 3283017
关于积分的说明 10033401
捐赠科研通 2999877
什么是DOI,文献DOI怎么找? 1646203
邀请新用户注册赠送积分活动 783409
科研通“疑难数据库(出版商)”最低求助积分说明 750356