IDO can improve ovarian function in premature ovarian insufficiency via AhR and regulatory T cells

FOXP3型 生物 免疫系统 内分泌学 卵巢早衰 内科学 卵巢早衰 犬尿氨酸 白细胞介素2受体 免疫耐受 免疫 卵巢 吲哚胺2,3-双加氧酶 信使核糖核酸 调节性T细胞 免疫学 T细胞 医学 基因 色氨酸 遗传学 氨基酸
作者
Anbin Hu,Yabing Mu,Guanyou Huang,Zhongan Wang,Shuyun Zhao,Weizhen Xu,Panpan Chen,Xin Guo
出处
期刊:Biology of Reproduction [Oxford University Press]
标识
DOI:10.1093/biolre/ioaf102
摘要

Abstract Background: Premature ovarian insufficiency (POI) is the loss of ovarian function among women <40 years of age, and immune disorders play a critical role in POI development. Indoleamine 2,3-dioxygenase (IDO) catalyses tryptophan metabolism via the kynurenine pathway and plays a key role in preventing and treating immune-related diseases. Methods: Human ovarian granulosa cells (hGCs) were collected via the density gradient method, pZP3 was used to establish an immune POI mouse model, and an AAV vector carrying IDO1 (IDO-AAV) was injected into mouse ovaries to induce IDO overexpression. Ovarian function was measured by the oestrous cycle, serum AMH concentration, degree of ovarian fibrosis and number of follicles. Findings: IDO protein levels and mRNA expression in hGCs were lower in the POI group than in the control group (P < 0.05). Both the ovarian function and IDO levels in the POI + Water group and the POI + Glu group were significantly lower than those in the control group. In POI model mice injected with IDO-AAV, ovarian function and the CD4 + CD25 + Foxp3+ regulatory T (Treg) cell proportion were increased compared with those in mice injected with the natural control AAV. The FoxP3 mRNA expression level in Treg cells was positively correlated with the IDO mRNA expression level, whereas the RORγt mRNA expression level in Th17 cells was negatively correlated with the IDO mRNA expression level, further suggesting that IDO may be related to Treg and Th17 cells through AhR and subsequently regulate immunity and ovarian function. Conclusion: Increasing ovarian IDO levels in POI mice improved ovarian function.

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
搜集达人应助柯续缘采纳,获得10
刚刚
愉快幻悲完成签到,获得积分10
2秒前
jam完成签到 ,获得积分10
3秒前
猪头发布了新的文献求助10
3秒前
千里发布了新的文献求助10
4秒前
楚歌完成签到,获得积分10
4秒前
一区作者完成签到,获得积分10
4秒前
汉堡包应助陶1122采纳,获得10
7秒前
8秒前
Chen272完成签到,获得积分10
8秒前
芝士芝士完成签到,获得积分10
8秒前
Gino完成签到,获得积分0
9秒前
淡然雁易完成签到,获得积分10
9秒前
mount完成签到,获得积分10
9秒前
9秒前
ichi发布了新的文献求助10
13秒前
云岫完成签到,获得积分10
13秒前
妮妮发布了新的文献求助10
13秒前
羅马完成签到 ,获得积分10
14秒前
Zyk完成签到,获得积分10
14秒前
15秒前
火星上的兔子完成签到,获得积分10
16秒前
16秒前
阿Q完成签到,获得积分10
16秒前
许甜甜鸭给和谐幻柏的求助进行了留言
17秒前
沈海完成签到,获得积分10
17秒前
ichi完成签到,获得积分20
20秒前
20秒前
JLiu612发布了新的文献求助10
21秒前
小羊发布了新的文献求助10
22秒前
CodeCraft应助妮妮采纳,获得10
24秒前
许甜甜鸭应助cc采纳,获得10
24秒前
言非离完成签到 ,获得积分10
24秒前
victorchen发布了新的文献求助10
25秒前
26秒前
ho完成签到 ,获得积分10
27秒前
淡然思山发布了新的文献求助30
30秒前
墨墨完成签到,获得积分10
32秒前
妮妮完成签到,获得积分10
34秒前
祝虔纹发布了新的文献求助10
35秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Preparative Methods of Polymer Chemistry, 3rd Edition 200
The Oxford Handbook of Chinese Philosophy 200
New Syntheses with Carbon Monoxide 200
Quanterion Automated Databook NPRD-2023 200
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 3834961
求助须知:如何正确求助?哪些是违规求助? 3377482
关于积分的说明 10498625
捐赠科研通 3096967
什么是DOI,文献DOI怎么找? 1705347
邀请新用户注册赠送积分活动 820529
科研通“疑难数据库(出版商)”最低求助积分说明 772123