Comprehensive analysis and validation of TP73 as a biomarker for calcium oxalate nephrolithiasis using machine learning and in vivo and in vitro experiments.

IF 2 2区 医学 Q2 UROLOGY & NEPHROLOGY Urolithiasis Pub Date : 2024-11-16 DOI:10.1007/s00240-024-01655-3
Zijian Zhou, Lujia Wang, Lingkai Cai, Peng Gao, Hongcheng Lu, Zhong Wu
{"title":"Comprehensive analysis and validation of TP73 as a biomarker for calcium oxalate nephrolithiasis using machine learning and in vivo and in vitro experiments.","authors":"Zijian Zhou, Lujia Wang, Lingkai Cai, Peng Gao, Hongcheng Lu, Zhong Wu","doi":"10.1007/s00240-024-01655-3","DOIUrl":null,"url":null,"abstract":"<p><p>Calcium oxalate (CaOx) nephrolithiasis constitutes approximately 75% of nephrolithiasis cases, resulting from the supersaturation and deposition of CaOx crystals in renal tissues. Despite their prevalence, precise biomarkers for CaOx nephrolithiasis are lacking. With advances in high-throughput sequencing, we aimed to identify biomarkers of CaOx nephrolithiasis by combining two CaOx nephrolithiasis datasets (GSE73680 and GSE117518). Utilizing weighted gene co-expression network analysis (WGCNA) and four machine learning, we identified six hub genes (DLK2, BHLHA15, C12orf5, ICMT, LOXHD1, and TP73) as potential biomarkers. Additionally, CIBERSORT immune infiltration analysis suggested that these core genes may influence immune cell recruitment and infiltration in CaOx nephrolithiasis. Then, TP73 emerged as a significant hub gene in CaOx nephrolithiasis via receiver operating characteristic (ROC) analysis (AUC = 0.885). Furthermore, the role of TP73 was validated in CaOx nephrolithiasis rat models induced by 1% ethylene glycol, as well as clinical samples and renal tubular epithelial cell models treated with 1 mM oxalate. Immunohistochemistry, RNA-Sequencing, and RT-qPCR experiments demonstrated an increased expression of TP73 in CaOx nephrolithiasis rat models and clinical samples. After transfection with TP73 lentivirus, CCK-8 assays suggested that TP73 could inhibit the proliferation of HK-2 and NRK-52E cells. In oxalate-induced cell models, dihydroethidium staining and flow cytometry apoptosis assays indicated that TP73 could enhance ROS levels and cell apoptosis. In summary, our study preliminarily identified TP73 as a diagnostic biomarker and elucidated the promoting role of TP73 in CaOx nephrolithiasis, providing a deeper understanding of the clinical diagnosis and pathogenesis.</p>","PeriodicalId":23411,"journal":{"name":"Urolithiasis","volume":"52 1","pages":"164"},"PeriodicalIF":2.0000,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Urolithiasis","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s00240-024-01655-3","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"UROLOGY & NEPHROLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Calcium oxalate (CaOx) nephrolithiasis constitutes approximately 75% of nephrolithiasis cases, resulting from the supersaturation and deposition of CaOx crystals in renal tissues. Despite their prevalence, precise biomarkers for CaOx nephrolithiasis are lacking. With advances in high-throughput sequencing, we aimed to identify biomarkers of CaOx nephrolithiasis by combining two CaOx nephrolithiasis datasets (GSE73680 and GSE117518). Utilizing weighted gene co-expression network analysis (WGCNA) and four machine learning, we identified six hub genes (DLK2, BHLHA15, C12orf5, ICMT, LOXHD1, and TP73) as potential biomarkers. Additionally, CIBERSORT immune infiltration analysis suggested that these core genes may influence immune cell recruitment and infiltration in CaOx nephrolithiasis. Then, TP73 emerged as a significant hub gene in CaOx nephrolithiasis via receiver operating characteristic (ROC) analysis (AUC = 0.885). Furthermore, the role of TP73 was validated in CaOx nephrolithiasis rat models induced by 1% ethylene glycol, as well as clinical samples and renal tubular epithelial cell models treated with 1 mM oxalate. Immunohistochemistry, RNA-Sequencing, and RT-qPCR experiments demonstrated an increased expression of TP73 in CaOx nephrolithiasis rat models and clinical samples. After transfection with TP73 lentivirus, CCK-8 assays suggested that TP73 could inhibit the proliferation of HK-2 and NRK-52E cells. In oxalate-induced cell models, dihydroethidium staining and flow cytometry apoptosis assays indicated that TP73 could enhance ROS levels and cell apoptosis. In summary, our study preliminarily identified TP73 as a diagnostic biomarker and elucidated the promoting role of TP73 in CaOx nephrolithiasis, providing a deeper understanding of the clinical diagnosis and pathogenesis.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用机器学习和体内、体外实验对作为草酸钙肾炎生物标志物的 TP73 进行全面分析和验证。
草酸钙(CaOx)肾炎约占肾炎病例的 75%,是由于 CaOx 晶体在肾组织中过饱和和沉积造成的。尽管钙氧化物肾炎很常见,但目前还缺乏精确的生物标志物。随着高通量测序技术的发展,我们将两个钙氧化物肾炎数据集(GSE73680 和 GSE117518)结合起来,旨在确定钙氧化物肾炎的生物标志物。利用加权基因共表达网络分析(WGCNA)和四种机器学习方法,我们确定了六个枢纽基因(DLK2、BHLHA15、C12orf5、ICMT、LOXHD1 和 TP73)作为潜在的生物标记物。此外,CIBERSORT 免疫浸润分析表明,这些核心基因可能会影响 CaOx 肾炎中免疫细胞的招募和浸润。然后,通过接收器操作特征(ROC)分析(AUC = 0.885),TP73 成为 CaOx 肾炎的重要枢纽基因。此外,1% 乙二醇诱导的 CaOx 肾石症大鼠模型、临床样本以及用 1 mM 草酸盐处理的肾小管上皮细胞模型都验证了 TP73 的作用。免疫组化、RNA 序列测定和 RT-qPCR 实验表明,TP73 在 CaOx 肾石症大鼠模型和临床样本中的表达量增加。转染 TP73 慢病毒后,CCK-8 检测表明 TP73 可抑制 HK-2 和 NRK-52E 细胞的增殖。在草酸盐诱导的细胞模型中,二氢乙锭染色和流式细胞仪细胞凋亡检测表明,TP73 可提高 ROS 水平和细胞凋亡。总之,我们的研究初步确定了 TP73 作为诊断生物标志物,并阐明了 TP73 在 CaOx 肾炎中的促进作用,为临床诊断和发病机制提供了更深入的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Urolithiasis
Urolithiasis UROLOGY & NEPHROLOGY-
CiteScore
4.50
自引率
6.50%
发文量
74
期刊介绍: Official Journal of the International Urolithiasis Society The journal aims to publish original articles in the fields of clinical and experimental investigation only within the sphere of urolithiasis and its related areas of research. The journal covers all aspects of urolithiasis research including the diagnosis, epidemiology, pathogenesis, genetics, clinical biochemistry, open and non-invasive surgical intervention, nephrological investigation, chemistry and prophylaxis of the disorder. The Editor welcomes contributions on topics of interest to urologists, nephrologists, radiologists, clinical biochemists, epidemiologists, nutritionists, basic scientists and nurses working in that field. Contributions may be submitted as full-length articles or as rapid communications in the form of Letters to the Editor. Articles should be original and should contain important new findings from carefully conducted studies designed to produce statistically significant data. Please note that we no longer publish articles classified as Case Reports. Editorials and review articles may be published by invitation from the Editorial Board. All submissions are peer-reviewed. Through an electronic system for the submission and review of manuscripts, the Editor and Associate Editors aim to make publication accessible as quickly as possible to a large number of readers throughout the world.
期刊最新文献
Association between the systemic inflammation response index and kidney stones in US adults: a cross-sectional study based on NHANES 2007-2018. Comprehensive analysis and validation of TP73 as a biomarker for calcium oxalate nephrolithiasis using machine learning and in vivo and in vitro experiments. Quadruple-D score in the success rate of extracorporeal shock wave lithotripsy of renal stones in pediatric population. Multicenter outcome analysis of different sheath sizes for Flexible and Navigable Suction ureteral access sheath (FANS) ureteroscopy: an EAU Endourology collaboration with the global FANS study group. Revealing the molecular landscape of calcium oxalate renal calculi utilizing a tree shrew model: a transcriptomic analysis of the kidney.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1