增加遗传性肾脏疾病患者肾衰竭的风险。

IF 13.3 1区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
Mark D Elliott, Natalie Vena, Maddalena Marasa, Enrico Cocchi, Shiraz Bheda, Kelsie Bogyo, Ning Shang, Francesca Zanoni, Miguel Verbitsky, Chen Wang, Victoria Kolupaeva, Gina Jin, Maayan Sofer, Rafael Gras Pena, Pietro A Canetta, Andrew S Bomback, Lisa M Guay-Woodford, Jean Hou, Brenda W Gillespie, Bruce M Robinson, Jon B Klein, Michelle N Rheault, William E Smoyer, Larry A Greenbaum, Larry B Holzman, Ronald J Falk, Afshin Parsa, Simone Sanna-Cherchi, Laura H Mariani, Matthias Kretzler, Krzysztof Kiryluk, Ali G Gharavi
{"title":"增加遗传性肾脏疾病患者肾衰竭的风险。","authors":"Mark D Elliott, Natalie Vena, Maddalena Marasa, Enrico Cocchi, Shiraz Bheda, Kelsie Bogyo, Ning Shang, Francesca Zanoni, Miguel Verbitsky, Chen Wang, Victoria Kolupaeva, Gina Jin, Maayan Sofer, Rafael Gras Pena, Pietro A Canetta, Andrew S Bomback, Lisa M Guay-Woodford, Jean Hou, Brenda W Gillespie, Bruce M Robinson, Jon B Klein, Michelle N Rheault, William E Smoyer, Larry A Greenbaum, Larry B Holzman, Ronald J Falk, Afshin Parsa, Simone Sanna-Cherchi, Laura H Mariani, Matthias Kretzler, Krzysztof Kiryluk, Ali G Gharavi","doi":"10.1172/JCI178573","DOIUrl":null,"url":null,"abstract":"<p><p>BACKGROUNDIt is unknown whether the risk of kidney disease progression and failure differs between patients with and without genetic kidney disorders.METHODSThree cohorts were evaluated: the prospective Cure Glomerulonephropathy Network (CureGN) and 2 retrospective cohorts from Columbia University, including 5,727 adults and children with kidney disease from any etiology who underwent whole-genome or exome sequencing. The effects of monogenic kidney disorders and APOL1 kidney-risk genotypes on the risk of kidney failure, estimated glomerular filtration rate (eGFR) decline, and disease remission rates were evaluated along with diagnostic yields and the impact of American College of Medical Genetics secondary findings (ACMG SFs).RESULTSMonogenic kidney disorders were identified in 371 patients (6.5%), high-risk APOL1 genotypes in 318 (5.5%), and ACMG SFs in 100 (5.2%). Family history of kidney disease was the strongest predictor of monogenic disorders. After adjustment for traditional risk factors, monogenic kidney disorders were associated with an increased risk of kidney failure (hazard ratio [HR] = 1.72), higher rate of eGFR decline (-3.06 vs. 0.25 mL/min/1.73 m2/year), and lower risk of complete remission (odds ratioNot achieving CR = 5.25). High-risk APOL1 genotypes were associated with an increased risk of kidney failure (HR = 1.67) and faster eGFR decline (-2.28 vs. 0.25 mL/min/1.73 m2), replicating prior findings. ACMG SFs were not associated with personal or family history of associated diseases, but were predicted to impact care in 70% of cases.CONCLUSIONSMonogenic kidney disorders were associated with an increased risk of kidney failure, faster eGFR decline, and lower rates of complete remission, suggesting opportunities for early identification and intervention based on molecular diagnosis.TRIAL REGISTRATIONNA.FUNDINGNational Institute of Diabetes and Digestive and Kidney Diseases grants U24DK100845 (formerly UM1DK100845), U01DK100846 (formerly UM1DK100846), U01DK100876 (formerly UM1DK100876), U01DK100866 (formerly UM1DK100866), U01DK100867 (formerly UM1DK100867), U24DK100845, DK081943, RC2DK116690, 2U01DK100876, 1R01DK136765, 5R01DK082753, and RC2-DK122397; NephCure Kidney International; Department of Defense Research Awards PR201425, W81XWH-16-1-0451, and W81XWH-22-1-0966; National Center for Advancing Translational Sciences grant UL1TR001873; National Library of Medicine grant R01LM013061; National Human Genome Research Institute grant 2U01HG008680.</p>","PeriodicalId":15469,"journal":{"name":"Journal of Clinical Investigation","volume":null,"pages":null},"PeriodicalIF":13.3000,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11364380/pdf/","citationCount":"0","resultStr":"{\"title\":\"Increased risk of kidney failure in patients with genetic kidney disorders.\",\"authors\":\"Mark D Elliott, Natalie Vena, Maddalena Marasa, Enrico Cocchi, Shiraz Bheda, Kelsie Bogyo, Ning Shang, Francesca Zanoni, Miguel Verbitsky, Chen Wang, Victoria Kolupaeva, Gina Jin, Maayan Sofer, Rafael Gras Pena, Pietro A Canetta, Andrew S Bomback, Lisa M Guay-Woodford, Jean Hou, Brenda W Gillespie, Bruce M Robinson, Jon B Klein, Michelle N Rheault, William E Smoyer, Larry A Greenbaum, Larry B Holzman, Ronald J Falk, Afshin Parsa, Simone Sanna-Cherchi, Laura H Mariani, Matthias Kretzler, Krzysztof Kiryluk, Ali G Gharavi\",\"doi\":\"10.1172/JCI178573\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>BACKGROUNDIt is unknown whether the risk of kidney disease progression and failure differs between patients with and without genetic kidney disorders.METHODSThree cohorts were evaluated: the prospective Cure Glomerulonephropathy Network (CureGN) and 2 retrospective cohorts from Columbia University, including 5,727 adults and children with kidney disease from any etiology who underwent whole-genome or exome sequencing. The effects of monogenic kidney disorders and APOL1 kidney-risk genotypes on the risk of kidney failure, estimated glomerular filtration rate (eGFR) decline, and disease remission rates were evaluated along with diagnostic yields and the impact of American College of Medical Genetics secondary findings (ACMG SFs).RESULTSMonogenic kidney disorders were identified in 371 patients (6.5%), high-risk APOL1 genotypes in 318 (5.5%), and ACMG SFs in 100 (5.2%). Family history of kidney disease was the strongest predictor of monogenic disorders. After adjustment for traditional risk factors, monogenic kidney disorders were associated with an increased risk of kidney failure (hazard ratio [HR] = 1.72), higher rate of eGFR decline (-3.06 vs. 0.25 mL/min/1.73 m2/year), and lower risk of complete remission (odds ratioNot achieving CR = 5.25). High-risk APOL1 genotypes were associated with an increased risk of kidney failure (HR = 1.67) and faster eGFR decline (-2.28 vs. 0.25 mL/min/1.73 m2), replicating prior findings. ACMG SFs were not associated with personal or family history of associated diseases, but were predicted to impact care in 70% of cases.CONCLUSIONSMonogenic kidney disorders were associated with an increased risk of kidney failure, faster eGFR decline, and lower rates of complete remission, suggesting opportunities for early identification and intervention based on molecular diagnosis.TRIAL REGISTRATIONNA.FUNDINGNational Institute of Diabetes and Digestive and Kidney Diseases grants U24DK100845 (formerly UM1DK100845), U01DK100846 (formerly UM1DK100846), U01DK100876 (formerly UM1DK100876), U01DK100866 (formerly UM1DK100866), U01DK100867 (formerly UM1DK100867), U24DK100845, DK081943, RC2DK116690, 2U01DK100876, 1R01DK136765, 5R01DK082753, and RC2-DK122397; NephCure Kidney International; Department of Defense Research Awards PR201425, W81XWH-16-1-0451, and W81XWH-22-1-0966; National Center for Advancing Translational Sciences grant UL1TR001873; National Library of Medicine grant R01LM013061; National Human Genome Research Institute grant 2U01HG008680.</p>\",\"PeriodicalId\":15469,\"journal\":{\"name\":\"Journal of Clinical Investigation\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":13.3000,\"publicationDate\":\"2024-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11364380/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Clinical Investigation\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1172/JCI178573\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Clinical Investigation","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1172/JCI178573","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0

摘要

方法评估了三个队列:前瞻性肾小球肾病治疗网络(CureGN)和哥伦比亚大学的两个回顾性队列,包括5727名接受全基因组或外显子组测序的任何病因的成人和儿童肾病患者。结果371名患者(6.5%)发现了单基因肾病,318名患者(5.5%)发现了高风险APOL1基因型,100名患者(5.2%)发现了ACMG SFs。肾病家族史是预测单基因遗传病的最有力因素。对传统风险因素进行调整后,单基因肾病与肾衰竭风险增加(危险比 [HR] = 1.72)、eGFR 下降率升高(-3.06 vs. 0.25 mL/min/1.73 m2/年)和完全缓解风险降低(未达到完全缓解的几率 = 5.25)相关。高风险 APOL1 基因型与肾衰竭风险增加(HR = 1.67)和 eGFR 下降速度加快(-2.28 对 0.25 mL/min/1.73 m2)有关,这与之前的研究结果相同。结论单基因肾脏疾病与肾衰竭风险增加、eGFR下降速度加快和完全缓解率降低有关,表明有机会根据分子诊断进行早期识别和干预。资金来源美国国立糖尿病和消化道及肾脏疾病研究所基金 U24DK100845(前身为 UM1DK100845)、U01DK100846(前身为 UM1DK100846)、U01DK100876(前身为 UM1DK100876)、U01DK100866(原 UM1DK100866)、U01DK100867(原 UM1DK100867)、U24DK100845、DK081943、RC2DK116690、2U01DK100876、1R01DK136765、5R01DK082753 和 RC2-DK122397;NephCure Kidney International;国防部研究奖 PR201425、W81XWH-16-1-0451 和 W81XWH-22-1-0966;美国国家转化科学促进中心基金 UL1TR001873;美国国家医学图书馆基金 R01LM013061;美国国家人类基因组研究所基金 2U01HG008680。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Increased risk of kidney failure in patients with genetic kidney disorders.

BACKGROUNDIt is unknown whether the risk of kidney disease progression and failure differs between patients with and without genetic kidney disorders.METHODSThree cohorts were evaluated: the prospective Cure Glomerulonephropathy Network (CureGN) and 2 retrospective cohorts from Columbia University, including 5,727 adults and children with kidney disease from any etiology who underwent whole-genome or exome sequencing. The effects of monogenic kidney disorders and APOL1 kidney-risk genotypes on the risk of kidney failure, estimated glomerular filtration rate (eGFR) decline, and disease remission rates were evaluated along with diagnostic yields and the impact of American College of Medical Genetics secondary findings (ACMG SFs).RESULTSMonogenic kidney disorders were identified in 371 patients (6.5%), high-risk APOL1 genotypes in 318 (5.5%), and ACMG SFs in 100 (5.2%). Family history of kidney disease was the strongest predictor of monogenic disorders. After adjustment for traditional risk factors, monogenic kidney disorders were associated with an increased risk of kidney failure (hazard ratio [HR] = 1.72), higher rate of eGFR decline (-3.06 vs. 0.25 mL/min/1.73 m2/year), and lower risk of complete remission (odds ratioNot achieving CR = 5.25). High-risk APOL1 genotypes were associated with an increased risk of kidney failure (HR = 1.67) and faster eGFR decline (-2.28 vs. 0.25 mL/min/1.73 m2), replicating prior findings. ACMG SFs were not associated with personal or family history of associated diseases, but were predicted to impact care in 70% of cases.CONCLUSIONSMonogenic kidney disorders were associated with an increased risk of kidney failure, faster eGFR decline, and lower rates of complete remission, suggesting opportunities for early identification and intervention based on molecular diagnosis.TRIAL REGISTRATIONNA.FUNDINGNational Institute of Diabetes and Digestive and Kidney Diseases grants U24DK100845 (formerly UM1DK100845), U01DK100846 (formerly UM1DK100846), U01DK100876 (formerly UM1DK100876), U01DK100866 (formerly UM1DK100866), U01DK100867 (formerly UM1DK100867), U24DK100845, DK081943, RC2DK116690, 2U01DK100876, 1R01DK136765, 5R01DK082753, and RC2-DK122397; NephCure Kidney International; Department of Defense Research Awards PR201425, W81XWH-16-1-0451, and W81XWH-22-1-0966; National Center for Advancing Translational Sciences grant UL1TR001873; National Library of Medicine grant R01LM013061; National Human Genome Research Institute grant 2U01HG008680.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Clinical Investigation
Journal of Clinical Investigation 医学-医学:研究与实验
CiteScore
24.50
自引率
1.30%
发文量
1034
审稿时长
2 months
期刊介绍: The Journal of Clinical Investigation, established in 1924 by the ASCI, is a prestigious publication that focuses on breakthroughs in basic and clinical biomedical science, with the goal of advancing the field of medicine. With an impressive Impact Factor of 15.9 in 2022, it is recognized as one of the leading journals in the "Medicine, Research & Experimental" category of the Web of Science. The journal attracts a diverse readership from various medical disciplines and sectors. It publishes a wide range of research articles encompassing all biomedical specialties, including Autoimmunity, Gastroenterology, Immunology, Metabolism, Nephrology, Neuroscience, Oncology, Pulmonology, Vascular Biology, and many others. The Editorial Board consists of esteemed academic editors who possess extensive expertise in their respective fields. They are actively involved in research, ensuring the journal's high standards of publication and scientific rigor.
×
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:481959085
Book学术官方微信