Methylglyoxal Adducts Are Prognostic Biomarkers for Diabetic Kidney Disease in Patients With Type 1 Diabetes

甲基乙二醛 医学 糖尿病 2型糖尿病 内科学 疾病 肾脏疾病 内分泌学 胃肠病学 生物化学 化学
作者
Seigmund Wai Tsuen Lai,Carlos Hernandez-Castillo,Edwin De Jesus Lopez Gonzalez,Tala Zoukari,Min Talley,Nadia Paquin,Zhuo Chen,Bart O. Roep,John S. Kaddis,Rama Natarajan,John Termini,Sarah C. Shuck
出处
期刊:Diabetes [American Diabetes Association]
卷期号:73 (4): 611-617 被引量:5
标识
DOI:10.2337/db23-0277
摘要

More than 30% of patients with type 1 diabetes develop diabetic kidney disease (DKD), which significantly increases mortality risk. The Diabetes Control and Complications Trial (DCCT) and follow-up study, Epidemiology of Diabetes Interventions and Complications (EDIC), established that glycemic control measured by HbA1c predicts DKD risk. However, the continued high incidence of DKD reinforces the urgent need for additional biomarkers to supplement HbA1c. Here, we assessed biomarkers induced by methylglyoxal (MG), a metabolic by-product that forms covalent adducts on DNA, RNA, and proteins, called MG adducts. Urinary MG adducts were measured in samples from patients with type 1 diabetes enrolled in DCCT/EDIC who did (case patients; n = 90) or did not (control patients; n = 117) develop DKD. Univariate and multivariable analyses revealed that measurements of MG adducts independently predict DKD before established DKD biomarkers such as glomerular filtration rate and albumin excretion rate. Elevated levels of MG adducts bestowed the greatest risk of developing DKD in a multivariable model that included HbA1c and other clinical covariates. Our work establishes a novel class of biomarkers to predict DKD risk and suggests that inclusion of MG adducts may be a valuable tool to improve existing predictors of complications like DKD prior to overt disease, and to aid in identifying at-risk individuals and personalized risk management.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
男子无才便是德完成签到,获得积分10
1秒前
1秒前
yuhangcao完成签到,获得积分10
1秒前
乐乐应助皮老师采纳,获得10
1秒前
SciGPT应助雪山飞龙采纳,获得10
2秒前
2秒前
隐形曼青应助anna采纳,获得10
3秒前
谦让成协完成签到,获得积分10
4秒前
SuperD发布了新的文献求助10
4秒前
sumugeng完成签到,获得积分10
5秒前
耍酷问兰发布了新的文献求助10
5秒前
5秒前
小宋爱科研完成签到 ,获得积分10
7秒前
YJ888发布了新的文献求助10
7秒前
赘婿应助孙亦沈采纳,获得10
8秒前
9秒前
11秒前
李爱国应助张于小丸子采纳,获得10
11秒前
laz完成签到,获得积分10
12秒前
13秒前
13秒前
ding应助老吴采纳,获得10
13秒前
14秒前
15秒前
MTRQ发布了新的文献求助10
15秒前
17秒前
Liufgui应助麦克阿宇采纳,获得10
17秒前
科研通AI2S应助Lily采纳,获得10
18秒前
皮老师发布了新的文献求助10
19秒前
19秒前
CNAxiaozhu7完成签到,获得积分10
20秒前
20秒前
Joey完成签到,获得积分10
21秒前
木乙发布了新的文献求助10
22秒前
Ch_7发布了新的文献求助10
22秒前
善学以致用应助leslie采纳,获得10
23秒前
24秒前
24秒前
anna发布了新的文献求助10
24秒前
烟花应助钮卿采纳,获得10
24秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
‘Unruly’ Children: Historical Fieldnotes and Learning Morality in a Taiwan Village (New Departures in Anthropology) 400
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3989069
求助须知:如何正确求助?哪些是违规求助? 3531351
关于积分的说明 11253589
捐赠科研通 3269939
什么是DOI,文献DOI怎么找? 1804851
邀请新用户注册赠送积分活动 882074
科研通“疑难数据库(出版商)”最低求助积分说明 809073