Urinary CD4+ T Cells Predict Renal Relapse in ANCA-Associated Vasculitis

医学 泌尿系统 生物标志物 泌尿科 蛋白尿 内科学 前瞻性队列研究 接收机工作特性 血管炎 胃肠病学 疾病 生物化学 化学
作者
Luka Prskalo,Christopher Mark Skopnik,Nina Goerlich,Paul A. Freund,Leonie Wagner,Emil Grothgar,Pouneh Mirkheshti,Jan Klocke,Janis Sonnemann,Diana Metzke,Udo Schneider,Falk Hiepe,Kai‐Uwe Eckardt,Alan D. Salama,Markus Bieringer,Adrian Schreiber,Philipp Enghard
出处
期刊:Journal of The American Society of Nephrology 卷期号:35 (4): 483-494 被引量:8
标识
DOI:10.1681/asn.0000000000000311
摘要

Significance Statement Early identification of patients at risk of renal flares in ANCA vasculitis is crucial. However, current clinical parameters have limitations in predicting renal relapse accurately. This study investigated the use of urinary CD4 + T lymphocytes as a predictive biomarker for renal flares in ANCA vasculitis. This study, including urine samples from 102 patients, found that the presence of urinary CD4 + T cells was a robust predictor of renal relapse within a 6-month time frame, with a sensitivity of 60% and a specificity of 97.8%. The diagnostic accuracy of urinary CD4 + T cells exceeded that of ANCA titers, proteinuria, and hematuria. Monitoring urinary CD4 + T lymphocytes could help assess the risk of future renal relapse, enabling early preventive measures and tailored treatment strategies. Background In ANCA-associated vasculitis, there is a lack of biomarkers for predicting renal relapse. Urinary T cells have been shown to differentiate active GN from remission in ANCA-associated vasculitis, but their predictive value for renal flares remains unknown. Methods The PRE-FLARED study was a prospective multicenter biomarker study including 102 individuals with ANCA-associated vasculitis in remission aimed to predict renal relapse by quantifying urinary CD4 + T-cell subsets using flow cytometry at baseline and monitoring clinical outcomes over a 6-month follow-up. Results Among the participants, ten experienced renal relapses, two had non–renal flares, and 90 remained in stable remission. The median baseline urinary CD4 + T-cell count was significantly higher in patients who relapsed compared with those in remission. Receiver operating characteristic curve analysis of urinary CD4 + T-cell counts showed an area under the curve value of 0.88 for predicting renal flares, outperforming ANCA titers, hematuria, and proteinuria. Using a cutoff of 490 CD4 + T cells per 100 ml urine, the sensitivity and specificity in identifying patients with future renal flares were 60% and 97.8%, respectively. In a post hoc analysis, combining urinary CD4 + T-cell counts with proteinase-3 ANCA levels suggested improved predictive performance in the PR3 + subgroup. In addition, the number of urinary CD4 + T cells showed a limited correlation with a decline in GFR and an increase in proteinuria over the follow-up period. Conclusions This study concluded that urinary CD4 + T-cell counts could identify patients with ANCA-associated vasculitis at a substantial risk of renal relapse within 6 months. Combining these counts with ANCA levels further improved the prediction of relapse. Clinical Trial registry name and registration number: Urinary T Lymphocytes Predict Renal Flares in Patients With Inactive ANCA-associated Glomerulonephritis (PRE-FLARED), NCT04428398.
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
www完成签到,获得积分10
刚刚
zhenzhen发布了新的文献求助10
刚刚
飞羽发布了新的文献求助10
刚刚
江沅完成签到 ,获得积分10
刚刚
1秒前
1秒前
Sean完成签到,获得积分10
1秒前
兜兜完成签到 ,获得积分10
1秒前
羊羊羊发布了新的文献求助10
2秒前
Rui完成签到,获得积分10
2秒前
bigger.b完成签到,获得积分10
2秒前
Nerissa完成签到,获得积分10
2秒前
Dr.Tang发布了新的文献求助10
2秒前
2秒前
田様应助笑点低蜜蜂采纳,获得10
2秒前
英俊的铭应助么系么系采纳,获得10
3秒前
ding应助寒冷的奇异果采纳,获得10
3秒前
lx发布了新的文献求助10
4秒前
舒适念真发布了新的文献求助10
4秒前
沉默哈密瓜完成签到 ,获得积分10
5秒前
身处人海完成签到,获得积分10
5秒前
Singularity应助暴躁的安柏采纳,获得10
5秒前
Singularity应助暴躁的安柏采纳,获得10
5秒前
大模型应助皓月千里采纳,获得10
5秒前
5秒前
Jim完成签到,获得积分10
6秒前
尼亚吉拉发布了新的文献求助10
6秒前
sternen发布了新的文献求助30
6秒前
6秒前
6秒前
迪迦驳回了所所应助
7秒前
猪猪hero发布了新的文献求助10
7秒前
热心芷烟完成签到,获得积分10
7秒前
7秒前
敏捷的猪猪侠完成签到,获得积分10
8秒前
8秒前
8秒前
咕噜仔发布了新的文献求助50
8秒前
诚c发布了新的文献求助10
9秒前
9秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527469
求助须知:如何正确求助?哪些是违规求助? 3107497
关于积分的说明 9285892
捐赠科研通 2805298
什么是DOI,文献DOI怎么找? 1539865
邀请新用户注册赠送积分活动 716714
科研通“疑难数据库(出版商)”最低求助积分说明 709678