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
歪比巴卜完成签到,获得积分10
刚刚
卿卿完成签到,获得积分20
1秒前
云墨完成签到 ,获得积分10
1秒前
SilentStorm完成签到,获得积分10
1秒前
2秒前
3秒前
sunnyfriend完成签到,获得积分10
3秒前
xiaozang完成签到,获得积分10
4秒前
怕黑寻雪完成签到 ,获得积分10
4秒前
5秒前
李白完成签到,获得积分10
6秒前
正直涵菱发布了新的文献求助10
6秒前
感性的酬海完成签到,获得积分10
7秒前
王王的狗子完成签到 ,获得积分10
7秒前
innyjiang完成签到,获得积分10
9秒前
陆王牛马完成签到 ,获得积分10
10秒前
10秒前
Ava应助念念采纳,获得10
11秒前
LIAO完成签到,获得积分10
11秒前
迅速凝竹完成签到 ,获得积分10
13秒前
妮妮完成签到,获得积分10
14秒前
14秒前
哈哈哈完成签到,获得积分20
15秒前
快乐随心完成签到 ,获得积分10
16秒前
了一李完成签到 ,获得积分10
16秒前
fqk完成签到,获得积分10
16秒前
活泼新儿完成签到,获得积分10
16秒前
17秒前
老迟到的羊完成签到 ,获得积分10
17秒前
可爱的函函应助sl采纳,获得30
21秒前
CatC完成签到,获得积分10
21秒前
LIKO完成签到,获得积分10
21秒前
21秒前
21秒前
David发布了新的文献求助10
22秒前
22秒前
clock完成签到 ,获得积分10
22秒前
风中小懒虫完成签到,获得积分10
23秒前
cindy完成签到 ,获得积分10
24秒前
Tysonqu完成签到,获得积分10
24秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 3000
徐淮辽南地区新元古代叠层石及生物地层 3000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Global Eyelash Assessment scale (GEA) 1000
Picture Books with Same-sex Parented Families: Unintentional Censorship 550
Research on Disturbance Rejection Control Algorithm for Aerial Operation Robots 500
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 4038388
求助须知:如何正确求助?哪些是违规求助? 3576106
关于积分的说明 11374447
捐赠科研通 3305798
什么是DOI,文献DOI怎么找? 1819322
邀请新用户注册赠送积分活动 892672
科研通“疑难数据库(出版商)”最低求助积分说明 815029