首次对对称二甲基精氨酸(SDMA)进行自动免疫测定,建立参考区间。

IF 2.9 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY
Jillian Kodger, Marilyn Strong-Townsend, Giosi Farace, Sarah Peterson, Murthy Yerramilli, Joe M El-Khoury
{"title":"首次对对称二甲基精氨酸(SDMA)进行自动免疫测定,建立参考区间。","authors":"Jillian Kodger, Marilyn Strong-Townsend, Giosi Farace, Sarah Peterson, Murthy Yerramilli, Joe M El-Khoury","doi":"10.1016/j.cca.2025.120638","DOIUrl":null,"url":null,"abstract":"<p><p>The measurement of kidney function is critical for early detection and management of acute kidney injury and chronic kidney disease. Traditional biomarkers such as creatinine and cystatin C are commonly used but have significant limitations due to factors such as muscle mass, diet, hydration, and extrarenal conditions. Creatinine-based equations have raised concerns over health equity regarding racial differences in estimates of kidney function. In response, symmetric dimethylarginine (SDMA) has emerged as a promising biomarker due to its reduced sensitivity to muscle mass and other extrarenal variables. However, the clinical adoption of SDMA has been limited by the need for more efficient, automated testing methods. This study aimed to evaluate the first fully automated immunoassay for SDMA and compare its performance to the gold-standard liquid chromatography-tandem mass spectrometry (LC-MS/MS) method. We also established reference intervals using over five hundred samples from the Association for Diagnostics and Laboratory Medicine (formerly AACC) sample bank. Our results demonstrate that the automated IDEXX SDMA® immunoassay provides rapid, accurate, and reliable measurements, offering significant potential to introduce this biomarker to the clinical space to aid in diagnosing and treating kidney dysfunction.</p>","PeriodicalId":10205,"journal":{"name":"Clinica Chimica Acta","volume":" ","pages":"120638"},"PeriodicalIF":2.9000,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"First automated immunoassay for symmetric dimethylarginine (SDMA) with reference interval establishment.\",\"authors\":\"Jillian Kodger, Marilyn Strong-Townsend, Giosi Farace, Sarah Peterson, Murthy Yerramilli, Joe M El-Khoury\",\"doi\":\"10.1016/j.cca.2025.120638\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The measurement of kidney function is critical for early detection and management of acute kidney injury and chronic kidney disease. Traditional biomarkers such as creatinine and cystatin C are commonly used but have significant limitations due to factors such as muscle mass, diet, hydration, and extrarenal conditions. Creatinine-based equations have raised concerns over health equity regarding racial differences in estimates of kidney function. In response, symmetric dimethylarginine (SDMA) has emerged as a promising biomarker due to its reduced sensitivity to muscle mass and other extrarenal variables. However, the clinical adoption of SDMA has been limited by the need for more efficient, automated testing methods. This study aimed to evaluate the first fully automated immunoassay for SDMA and compare its performance to the gold-standard liquid chromatography-tandem mass spectrometry (LC-MS/MS) method. We also established reference intervals using over five hundred samples from the Association for Diagnostics and Laboratory Medicine (formerly AACC) sample bank. Our results demonstrate that the automated IDEXX SDMA® immunoassay provides rapid, accurate, and reliable measurements, offering significant potential to introduce this biomarker to the clinical space to aid in diagnosing and treating kidney dysfunction.</p>\",\"PeriodicalId\":10205,\"journal\":{\"name\":\"Clinica Chimica Acta\",\"volume\":\" \",\"pages\":\"120638\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinica Chimica Acta\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.cca.2025.120638\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICAL LABORATORY TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinica Chimica Acta","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.cca.2025.120638","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICAL LABORATORY TECHNOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

肾功能的测定对于急性肾损伤和慢性肾脏疾病的早期发现和治疗至关重要。传统的生物标志物,如肌酐和胱抑素C是常用的,但由于肌肉质量、饮食、水合作用和外源性条件等因素,有很大的局限性。以肌酐为基础的方程式引起了人们对肾脏功能估计中种族差异的健康公平的关注。因此,对称二甲基精氨酸(SDMA)因其对肌肉质量和其他外部变量的敏感性降低而成为一种有前景的生物标志物。然而,SDMA的临床应用受到对更高效、自动化测试方法的需求的限制。本研究旨在评估首个全自动SDMA免疫分析方法,并将其与金标准液相色谱-串联质谱(LC-MS/MS)方法的性能进行比较。我们还使用来自诊断和实验室医学协会(以前的AACC)样本库的500多个样本建立了参考区间。我们的研究结果表明,自动化IDEXX SDMA®免疫测定提供了快速、准确和可靠的测量,为将这种生物标志物引入临床领域以帮助诊断和治疗肾功能障碍提供了巨大的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
First automated immunoassay for symmetric dimethylarginine (SDMA) with reference interval establishment.

The measurement of kidney function is critical for early detection and management of acute kidney injury and chronic kidney disease. Traditional biomarkers such as creatinine and cystatin C are commonly used but have significant limitations due to factors such as muscle mass, diet, hydration, and extrarenal conditions. Creatinine-based equations have raised concerns over health equity regarding racial differences in estimates of kidney function. In response, symmetric dimethylarginine (SDMA) has emerged as a promising biomarker due to its reduced sensitivity to muscle mass and other extrarenal variables. However, the clinical adoption of SDMA has been limited by the need for more efficient, automated testing methods. This study aimed to evaluate the first fully automated immunoassay for SDMA and compare its performance to the gold-standard liquid chromatography-tandem mass spectrometry (LC-MS/MS) method. We also established reference intervals using over five hundred samples from the Association for Diagnostics and Laboratory Medicine (formerly AACC) sample bank. Our results demonstrate that the automated IDEXX SDMA® immunoassay provides rapid, accurate, and reliable measurements, offering significant potential to introduce this biomarker to the clinical space to aid in diagnosing and treating kidney dysfunction.

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
Clinica Chimica Acta
Clinica Chimica Acta 医学-医学实验技术
CiteScore
10.10
自引率
2.00%
发文量
1268
审稿时长
23 days
期刊介绍: The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells. The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.
×
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