Comprehensive biomarker profiling reveals distinct molecular signatures across stone types: a large-scale cross-sectional study in Southern China.

IF 3.2 3区 医学 Q2 PHYSIOLOGY
Frontiers in Physiology Pub Date : 2025-06-09 eCollection Date: 2025-01-01 DOI:10.3389/fphys.2025.1612585
Qingjiang Chen, Linliang Huang, Suilin Wang, Daqiang Wei, Jiancai Lu, Xiujing Han, Zhenglin Chang
{"title":"Comprehensive biomarker profiling reveals distinct molecular signatures across stone types: a large-scale cross-sectional study in Southern China.","authors":"Qingjiang Chen, Linliang Huang, Suilin Wang, Daqiang Wei, Jiancai Lu, Xiujing Han, Zhenglin Chang","doi":"10.3389/fphys.2025.1612585","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Stone diseases represent a significant global health burden affecting 10%-15% of the population worldwide. Despite advances in diagnostic imaging, current approaches often lack the ability to predict stone formation or differentiate between stone types at early stages.</p><p><strong>Methods: </strong>This retrospective study analyzed data from 61,310 stone patients and 55,010 matched controls using 1:1 propensity score matching. Stone cases were categorized into five major groups and further subdivided by organ system. Comprehensive serum biomarker profiling was conducted using automated biochemistry analyzers.</p><p><strong>Results: </strong>Urinary system stones constituted the largest proportion (80.97%), followed by biliary system stones (21.12%). The study revealed distinct biomarker signatures: elevated serum creatinine and cystatin C in uric acid stones; increased PSA and monocyte counts in prostatic calculi; elevated β2-microglobulin and total bilirubin in common bile duct stones; and increased basophils, ceruloplasmin, ferritin, immunoglobulin-A, and rheumatoid factor in gallstones.</p><p><strong>Conclusion: </strong>This study represents the first comprehensive evaluation of stone-specific clinical biomarker patterns derived from routine laboratory parameters, providing potential diagnostic markers for different stone types and suggesting stone-specific pathophysiological mechanisms.</p>","PeriodicalId":12477,"journal":{"name":"Frontiers in Physiology","volume":"16 ","pages":"1612585"},"PeriodicalIF":3.2000,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12183068/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Physiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3389/fphys.2025.1612585","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"PHYSIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Stone diseases represent a significant global health burden affecting 10%-15% of the population worldwide. Despite advances in diagnostic imaging, current approaches often lack the ability to predict stone formation or differentiate between stone types at early stages.

Methods: This retrospective study analyzed data from 61,310 stone patients and 55,010 matched controls using 1:1 propensity score matching. Stone cases were categorized into five major groups and further subdivided by organ system. Comprehensive serum biomarker profiling was conducted using automated biochemistry analyzers.

Results: Urinary system stones constituted the largest proportion (80.97%), followed by biliary system stones (21.12%). The study revealed distinct biomarker signatures: elevated serum creatinine and cystatin C in uric acid stones; increased PSA and monocyte counts in prostatic calculi; elevated β2-microglobulin and total bilirubin in common bile duct stones; and increased basophils, ceruloplasmin, ferritin, immunoglobulin-A, and rheumatoid factor in gallstones.

Conclusion: This study represents the first comprehensive evaluation of stone-specific clinical biomarker patterns derived from routine laboratory parameters, providing potential diagnostic markers for different stone types and suggesting stone-specific pathophysiological mechanisms.

综合生物标志物分析揭示了不同岩石类型的不同分子特征:中国南方的一项大规模横断面研究。
背景:结石疾病是影响全球10%-15%人口的重大全球健康负担。尽管在诊断成像方面取得了进展,但目前的方法往往缺乏预测结石形成或在早期阶段区分结石类型的能力。方法:本回顾性研究分析了61310例结石患者和55010例匹配对照组的数据,采用1:1倾向评分匹配。结石病例可分为五大类,并按器官系统进一步细分。使用自动生化分析仪进行全面的血清生物标志物分析。结果:泌尿系统结石占比最大(80.97%),其次是胆道系统结石(21.12%)。该研究揭示了明显的生物标志物特征:尿酸结石患者血清肌酐和胱抑素C升高;前列腺结石中PSA和单核细胞计数增高;胆总管结石中β2微球蛋白和总胆红素升高;胆结石中嗜碱性粒细胞、铜蓝蛋白、铁蛋白、免疫球蛋白a和类风湿因子增加。结论:本研究首次对来自常规实验室参数的结石特异性临床生物标志物模式进行了全面评估,为不同类型的结石提供了潜在的诊断标记,并提示了结石特异性的病理生理机制。
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 求助全文
来源期刊
CiteScore
6.50
自引率
5.00%
发文量
2608
审稿时长
14 weeks
期刊介绍: Frontiers in Physiology is a leading journal in its field, publishing rigorously peer-reviewed research on the physiology of living systems, from the subcellular and molecular domains to the intact organism, and its interaction with the environment. Field Chief Editor George E. Billman at the Ohio State University Columbus is supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信