Urinary biomarkers associated with pathogenic pathways reflecting histological findings in lupus nephritis

狼疮性肾炎 发病机制 病理 泌尿系统 免疫组织化学 医学 内科学 疾病
作者
K. Hiramoto,Shuntaro Saito,Hironari Hanaoka,Jun Kikuchi,Hirokazu Fukui,Akinori Hashiguchi,Kenji Suzuki,Tsutomu Takeuchi,Yuko Kaneko
出处
期刊:Arthritis & rheumatology [Wiley]
标识
DOI:10.1002/art.43017
摘要

Objective There is a pressing need to understand the pathogenesis of histological findings and identify the biomarkers for predicting the histological severity in lupus nephritis (LN). This study aimed to identify the pathogenic signal pathway and elucidate urinary biomarkers for predicting the presence or severity of histological findings in LN. Methods Urine samples from patients with biopsy‐proven active LN were screened for 1305 proteins using an aptamer‐based proteomic assay. The diversity and expansion of individual renal histological features in LN were quantified to identify the urinary proteins associated with the histological findings found in each score. Candidate urinary proteins were validated in a validation cohort. Immunohistochemical staining of the renal tissues was performed to clarify the localisation of the candidate proteins. Results Cluster analysis extracted five histological subgroups according to their correlations with each histological finding in LN. Protein groups which correlated with each histological subgroup revealed a distinct pathogenesis in LN using pathway analyses. Enzyme‐linked immunosorbent assay validation revealed that urinary calgranulin B (S100A9), MCP‐1, and IGFBP‐5 levels could specifically predict the presence and severity of active glomerular lesions, interstitial inflammation, and interstitial fibrosis, respectively. Immunohistochemical staining revealed the localisation of these proteins in each lesion. Conclusions Renal histological findings may reflect the different pathogeneses involved in each lesion, and estimating the urinary calgranulin B, MCP‐1, and IGFBP‐5 levels may be useful in predicting the presence and severity of histological findings in LN.

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
ZNX完成签到,获得积分10
刚刚
刚刚
科研通AI6.4应助无情芷珊采纳,获得10
1秒前
氘代乙腈是不贵的呀完成签到,获得积分10
1秒前
1秒前
1秒前
正直的誉发布了新的文献求助10
2秒前
天天看文献完成签到,获得积分10
2秒前
lhm完成签到 ,获得积分10
3秒前
迷你的灵阳应助Jerry采纳,获得10
3秒前
小Z发布了新的文献求助10
3秒前
小王同学完成签到,获得积分10
4秒前
小马甲应助畅快的雅青采纳,获得10
4秒前
haoguo完成签到,获得积分20
4秒前
艺玲完成签到,获得积分10
4秒前
子小孙完成签到,获得积分10
4秒前
YukiMatsui完成签到 ,获得积分10
5秒前
心如止水完成签到,获得积分10
5秒前
6秒前
张好好完成签到,获得积分10
6秒前
ww发布了新的文献求助10
7秒前
背后颖发布了新的文献求助10
7秒前
7秒前
彩笔小新完成签到,获得积分10
7秒前
8秒前
大方的羊青完成签到,获得积分10
8秒前
艺玲发布了新的文献求助10
8秒前
godblessyou发布了新的文献求助10
9秒前
9秒前
充电宝应助小Z采纳,获得10
10秒前
赘婿应助G1234采纳,获得10
10秒前
11秒前
11秒前
11秒前
整齐诗双完成签到,获得积分10
12秒前
zhangyumi发布了新的文献求助10
13秒前
chenxiang发布了新的文献求助10
13秒前
13秒前
江水边发布了新的文献求助10
13秒前
小江完成签到,获得积分10
13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
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
核安全综合知识2024版 500
Photothermal Science and Techniques 500
Digital Displacement Hydrostatic Transmission for Rotorcraft and Distributed Propulsion 500
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 7707755
求助须知:如何正确求助?哪些是违规求助? 9265209
关于积分的说明 20053372
捐赠科研通 7284216
什么是DOI,文献DOI怎么找? 3296106
关于科研通互助平台的介绍 2451002
邀请新用户注册赠送积分活动 2303106