• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

预测和预后生物标志物对慢性肾脏病临床研究的贡献。

Contribution of Predictive and Prognostic Biomarkers to Clinical Research on Chronic Kidney Disease.

机构信息

Renal Unit, Department of Health Sciences, "Magna Graecia" University of Catanzaro, I-88100 Catanzaro, Italy.

Department of Health Sciences, "Magna Graecia" University of Catanzaro, I-88100 Catanzaro, Italy.

出版信息

Int J Mol Sci. 2020 Aug 14;21(16):5846. doi: 10.3390/ijms21165846.

DOI:10.3390/ijms21165846
PMID:32823966
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7461617/
Abstract

Chronic kidney disease (CKD), defined as the presence of albuminuria and/or reduction in estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m, is considered a growing public health problem, with its prevalence and incidence having almost doubled in the past three decades. The implementation of novel biomarkers in clinical practice is crucial, since it could allow earlier diagnosis and lead to an improvement in CKD outcomes. Nevertheless, a clear guidance on how to develop biomarkers in the setting of CKD is not yet available. The aim of this review is to report the framework for implementing biomarkers in observational and intervention studies. Biomarkers are classified as either prognostic or predictive; the first type is used to identify the likelihood of a patient to develop an endpoint regardless of treatment, whereas the second type is used to determine whether the patient is likely to benefit from a specific treatment. Many single assays and complex biomarkers were shown to improve the prediction of cardiovascular and kidney outcomes in CKD patients on top of the traditional risk factors. Biomarkers were also shown to improve clinical trial designs. Understanding the correct ways to validate and implement novel biomarkers in CKD will help to mitigate the global burden of CKD and to improve the individual prognosis of these high-risk patients.

摘要

慢性肾脏病(CKD)定义为白蛋白尿和/或估计肾小球滤过率(eGFR)<60mL/min/1.73m 的降低,被认为是一个日益严重的公共卫生问题,在过去三十年中,其患病率和发病率几乎翻了一番。在临床实践中实施新型生物标志物至关重要,因为它可以更早地诊断疾病,并改善 CKD 的预后。然而,目前尚无关于如何在 CKD 环境中开发生物标志物的明确指导。本综述旨在报告在观察性和干预性研究中实施生物标志物的框架。生物标志物分为预后标志物和预测标志物;前者用于确定患者发生终点的可能性,而不论治疗情况如何,而后者用于确定患者是否可能从特定治疗中获益。许多单一检测和复杂生物标志物除了传统危险因素外,还可改善 CKD 患者心血管和肾脏结局的预测。生物标志物还可改善临床试验设计。了解正确的方法来验证和实施 CKD 中的新型生物标志物将有助于减轻全球 CKD 负担,并改善这些高危患者的个体预后。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/251b/7461617/3a31c7c511ba/ijms-21-05846-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/251b/7461617/3cfd436b6783/ijms-21-05846-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/251b/7461617/3a31c7c511ba/ijms-21-05846-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/251b/7461617/3cfd436b6783/ijms-21-05846-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/251b/7461617/3a31c7c511ba/ijms-21-05846-g002.jpg

相似文献

1
Contribution of Predictive and Prognostic Biomarkers to Clinical Research on Chronic Kidney Disease.预测和预后生物标志物对慢性肾脏病临床研究的贡献。
Int J Mol Sci. 2020 Aug 14;21(16):5846. doi: 10.3390/ijms21165846.
2
The Role of Prognostic and Predictive Biomarkers for Assessing Cardiovascular Risk in Chronic Kidney Disease Patients.慢性肾脏病患者心血管风险评估的预后和预测生物标志物的作用。
Biomed Res Int. 2020 Oct 8;2020:2314128. doi: 10.1155/2020/2314128. eCollection 2020.
3
Early referral strategies for management of people with markers of renal disease: a systematic review of the evidence of clinical effectiveness, cost-effectiveness and economic analysis.早期转介策略在管理有肾脏疾病标志物的人群中的应用:对临床有效性、成本效益和经济分析证据的系统评价。
Health Technol Assess. 2010 Apr;14(21):1-184. doi: 10.3310/hta14210.
4
A prospective study of multiple protein biomarkers to predict progression in diabetic chronic kidney disease.一项关于多种蛋白质生物标志物预测糖尿病慢性肾脏病进展的前瞻性研究。
Nephrol Dial Transplant. 2014 Dec;29(12):2293-302. doi: 10.1093/ndt/gfu255. Epub 2014 Aug 1.
5
Estimated glomerular filtration rate in observational and interventional studies in chronic kidney disease.在慢性肾脏病的观察性和干预性研究中估算肾小球滤过率。
J Nephrol. 2024 Apr;37(3):573-586. doi: 10.1007/s40620-024-01887-x. Epub 2024 Feb 12.
6
Kidney Disease in Diabetes糖尿病肾病
7
Risk of Progression of Nonalbuminuric CKD to End-Stage Kidney Disease in People With Diabetes: The CRIC (Chronic Renal Insufficiency Cohort) Study.非白蛋白尿性慢性肾脏病向终末期肾病进展的风险:CRIC(慢性肾功能不全队列)研究。
Am J Kidney Dis. 2018 Nov;72(5):653-661. doi: 10.1053/j.ajkd.2018.02.364. Epub 2018 May 18.
8
The public health dimension of chronic kidney disease: what we have learnt over the past decade.慢性肾脏病的公共卫生层面:我们在过去十年中学到了什么。
Nephrol Dial Transplant. 2017 Apr 1;32(suppl_2):ii113-ii120. doi: 10.1093/ndt/gfw416.
9
Chronic kidney disease in children: Using novel biomarkers as predictors of disease.儿童慢性肾脏病:使用新型生物标志物作为疾病预测指标
Saudi J Kidney Dis Transpl. 2018 Jul-Aug;29(4):775-784. doi: 10.4103/1319-2442.239657.
10
Prevalence of chronic kidney disease defined by using CKD-EPI equation and albumin-to-creatinine ratio in the Korean adult population.使用CKD-EPI方程和白蛋白与肌酐比值定义的慢性肾脏病在韩国成年人群中的患病率。
Korean J Intern Med. 2016 Nov;31(6):1120-1130. doi: 10.3904/kjim.2015.193. Epub 2016 Mar 25.

引用本文的文献

1
Regression equation for kidney function based on the ultrasonographic volumetry of the renal cortex.基于肾皮质超声容积测量法的肾功能回归方程。
J Nephrol. 2025 Sep 8. doi: 10.1007/s40620-025-02417-z.
2
Design aspects for prognostic factor studies.预后因素研究的设计方面。
BMJ Open. 2025 Aug 31;15(8):e095065. doi: 10.1136/bmjopen-2024-095065.
3
Nucleated red blood cell count as a novel predictive biomarker for acute kidney injury and prognosis in patients with acute pancreatitis: A retrospective cohort study.有核红细胞计数作为急性胰腺炎患者急性肾损伤及预后的新型预测生物标志物:一项回顾性队列研究

本文引用的文献

1
Blood pressure variability and microvascular dysfunction: the Maastricht Study.血压变异性与微血管功能障碍:马斯特里赫特研究。
J Hypertens. 2020 Aug;38(8):1541-1550. doi: 10.1097/HJH.0000000000002444.
2
The role of testosterone in chronic kidney disease and kidney function in men and women: a bi-directional Mendelian randomization study in the UK Biobank.睾酮在男性和女性慢性肾脏病及肾功能中的作用:英国生物库中一项双向孟德尔随机研究。
BMC Med. 2020 Jun 4;18(1):122. doi: 10.1186/s12916-020-01594-x.
3
Sex-specific associations of insulin resistance with chronic kidney disease and kidney function: a bi-directional Mendelian randomisation study.
PLoS One. 2025 Aug 22;20(8):e0330611. doi: 10.1371/journal.pone.0330611. eCollection 2025.
4
Revolutionizing Alzheimer's Detection: Immune-Related Gene Biomarkers as Non-Invasive Predictors.革新阿尔茨海默病检测:免疫相关基因生物标志物作为非侵入性预测指标
Mol Neurobiol. 2025 Apr 28. doi: 10.1007/s12035-025-04970-x.
5
The Impact of Living Kidney Donor Glomerular Filtration Rate on Graft Survival.活体肾供体肾小球滤过率对移植肾存活的影响。
Medicina (Kaunas). 2025 Mar 25;61(4):580. doi: 10.3390/medicina61040580.
6
Trends in renal function testing in patients with dementia: a repeated cross-sectional analysis in Australian general practice.痴呆患者肾功能检测趋势:澳大利亚全科医疗中的重复横断面分析
J Nephrol. 2025 Mar 19. doi: 10.1007/s40620-025-02256-y.
7
Potential MRI Biomarkers for Predicting Kidney Function and Histological Damage in Transplanted Deceased Donor Kidney Recipients.预测已故供体肾移植受者肾功能和组织学损伤的潜在MRI生物标志物
J Clin Med. 2025 Feb 18;14(4):1349. doi: 10.3390/jcm14041349.
8
Contribution of ECT2 to Tubulointerstitial Fibrosis in the Progression of Chronic Kidney Disease.ECT2在慢性肾脏病进展中对肾小管间质纤维化的作用
Curr Med Sci. 2024 Dec;44(6):1249-1258. doi: 10.1007/s11596-024-2948-1. Epub 2024 Oct 26.
9
Exploring Adiposity and Chronic Kidney Disease: Clinical Implications, Management Strategies, Prognostic Considerations.探讨肥胖与慢性肾脏病:临床意义、管理策略、预后考虑。
Medicina (Kaunas). 2024 Oct 11;60(10):1668. doi: 10.3390/medicina60101668.
10
Role of Estimated Glomerular Filtration Rate in Clinical Research: The Never-Ending Matter.估算肾小球滤过率在临床研究中的作用:永无止境的问题。
Rev Cardiovasc Med. 2024 Jan 4;25(1):1. doi: 10.31083/j.rcm2501001. eCollection 2024 Jan.
胰岛素抵抗与慢性肾脏病及肾功能的性别特异性关联:一项双向孟德尔随机研究。
Diabetologia. 2020 Aug;63(8):1554-1563. doi: 10.1007/s00125-020-05163-y. Epub 2020 May 15.
4
Metabolomic Markers of Kidney Function Decline in Patients With Diabetes: Evidence From the Chronic Renal Insufficiency Cohort (CRIC) Study.糖尿病患者肾功能下降的代谢组学标志物:来自慢性肾功能不全队列(CRIC)研究的证据。
Am J Kidney Dis. 2020 Oct;76(4):511-520. doi: 10.1053/j.ajkd.2020.01.019. Epub 2020 May 5.
5
Day-to-day variation of the kidney proximal tubular injury markers urinary cystatin C, KIM1, and NGAL in patients with chronic kidney disease.慢性肾脏病患者尿胱抑素 C、KIM1 和 NGAL 近端肾小管损伤标志物的日变化。
Ren Fail. 2020 Nov;42(1):400-404. doi: 10.1080/0886022X.2020.1757463.
6
Renal resistive index in chronic kidney disease patients: Possible determinants and risk profile.慢性肾脏病患者的肾脏阻力指数:可能的决定因素和风险特征。
PLoS One. 2020 Apr 1;15(4):e0230020. doi: 10.1371/journal.pone.0230020. eCollection 2020.
7
Time for clinical decision support systems tailoring individual patient therapy to improve renal and cardiovascular outcomes in diabetes and nephropathy.临床决策支持系统的时机:根据个体患者的情况调整治疗方案,以改善糖尿病和肾病患者的肾脏和心血管结局。
Nephrol Dial Transplant. 2020 Mar 1;35(Suppl 2):ii38-ii42. doi: 10.1093/ndt/gfaa013.
8
Urine Markers of Kidney Tubule Cell Injury and Kidney Function Decline in SPRINT Trial Participants with CKD.SPRINT 试验中伴有 CKD 患者的肾小管细胞损伤和肾功能下降的尿标志物。
Clin J Am Soc Nephrol. 2020 Mar 6;15(3):349-358. doi: 10.2215/CJN.02780319. Epub 2020 Feb 28.
9
[Role of proteinuria in clinical research: for each old-answer, a new key-question.].蛋白尿在临床研究中的作用:针对每一个旧答案,提出一个新的关键问题。
Recenti Prog Med. 2020 Feb;111(2):74-81. doi: 10.1701/3309.32797.
10
Global, regional, and national burden of chronic kidney disease, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017.全球、区域和国家慢性肾脏病负担,1990-2017 年:2017 年全球疾病负担研究的系统分析。
Lancet. 2020 Feb 29;395(10225):709-733. doi: 10.1016/S0140-6736(20)30045-3. Epub 2020 Feb 13.