Elucidating environmental factors and their combined effects on CKDu in Sri Lanka using zebrafish

斑马鱼 生物 肾脏疾病 生理学 毒理 微生物学 内分泌学 生物化学 基因
作者
Pan‐Pan Jia,Rohana Chandrajith,Muhammad Junaid,Tianyun Li,Yongzhi Li,Xingyi Wei,Li Liu,De‐Sheng Pei
出处
期刊:Environmental Pollution [Elsevier BV]
卷期号:332: 121967-121967 被引量:12
标识
DOI:10.1016/j.envpol.2023.121967
摘要

Chronic kidney disease with uncertain etiology (CKDu) in Sri Lanka has attracted much attention as a global health issue. However, how environmental factors in local drinking water induce kidney damage in organisms is still elusive. We investigated multiple environmental factors including water hardness and fluoride (HF), heavy metals (HM), microcystin-LR (MC-LR), and their combined exposure (HFMM) to elucidate their toxic effects on CKDu risk in zebrafish. Acute exposure affected renal development and inhibited the fluorescence of Na, K-ATPase alpha1A4:GFP zebrafish kidney. Chronic exposure influenced the body weight of both genders of adult fish and induced kidney damage by histopathological analyses. Furthermore, the exposure significantly disturbed differential expression genes (DEGs), diversity and richness of gut microbiota, and critical metabolites related to renal functions. The transcriptomic analysis revealed that kidney-related DEGs were linked with renal cell carcinoma, proximal tubule bicarbonate reclamation, calcium signaling pathway, and HIF-1 signaling pathway. The significantly disrupted intestinal microbiota was closely related to the environmental factors and H&E score, which demonstrated the mechanisms of kidney risks. Notably, the Spearman correlation analysis indicated that the changed bacteria such as Pseudomonas, Paracoccus, and ZOR0006, etc were significantly connected to the DEGs and metabolites. Therefore, the assessment of multiple environmental factors provided new insights on "bio-markers" as potential therapies of the target signaling pathways, metabolites, and gut bacteria to monitor or protect residents from CKDu.
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
蕊蕊发布了新的文献求助10
刚刚
1秒前
MchemG完成签到,获得积分0
1秒前
昵称发布了新的文献求助10
2秒前
天天快乐应助shidewu采纳,获得10
2秒前
科研通AI6.4应助Liangc333采纳,获得10
4秒前
你好发布了新的文献求助10
4秒前
4秒前
美好斓发布了新的文献求助100
6秒前
6秒前
orixero应助积极亦凝采纳,获得10
6秒前
Doran_luffy发布了新的文献求助10
7秒前
cly完成签到 ,获得积分10
7秒前
永刚完成签到,获得积分10
7秒前
7秒前
7秒前
7秒前
昵称完成签到,获得积分10
8秒前
9秒前
蔡琪发布了新的文献求助10
10秒前
优雅老六应助昵称采纳,获得10
11秒前
Sean发布了新的文献求助10
11秒前
Hello应助001采纳,获得10
13秒前
JamesPei应助淡定平蓝采纳,获得10
13秒前
15秒前
浅笑安然发布了新的文献求助10
15秒前
XLL小绿绿应助guo采纳,获得10
16秒前
小斌驳回了田様应助
17秒前
汉堡包应助专注白昼采纳,获得10
18秒前
20秒前
lixxu发布了新的文献求助10
21秒前
汉堡包应助ohana采纳,获得10
22秒前
一杯芝士应助科研小鱼采纳,获得10
22秒前
充电宝应助长安采纳,获得10
23秒前
我要向阳而生完成签到 ,获得积分10
24秒前
24秒前
24秒前
修仙中应助浅笑安然采纳,获得10
25秒前
26秒前
26秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
日本現代怪異事典 副読本 700
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 650
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
Models for the coupled atmosphere and ocean 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7389535
求助须知:如何正确求助?哪些是违规求助? 8995938
关于积分的说明 19144498
捐赠科研通 7026438
什么是DOI,文献DOI怎么找? 3228689
关于科研通互助平台的介绍 2390989
邀请新用户注册赠送积分活动 2210058