Evidence map›Paper›PMID 37967313›Full record

ArticleDiabetes2024

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

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 and 2 more

Open access · greenAbstract read
In one paragraph

Article in Diabetes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.2field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Review
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  4. Endogenous DNA Damage and Its Role in Human Disease.Chemical research in toxicology · 2026
    Review
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  9. Biomolecules & therapeutics · 2025
    Article
  10. Glyoxalase 1 Inducer,Antioxidants (Basel, Switzerland) · 2025
    Article
  11. Article
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  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 2 countries.

Seigmund Wai Tsuen LaiDepartment of Diabetes and Cancer Metabolism, Arthur Riggs Diabetes and Metabolism Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA.
Carlos Hernandez-CastilloDepartment of Diabetes and Cancer Metabolism, Arthur Riggs Diabetes and Metabolism Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA.
Edwin De Jesus Lopez GonzalezDepartment of Diabetes and Cancer Metabolism, Arthur Riggs Diabetes and Metabolism Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA.
Tala ZoukariDepartment of Diabetes and Cancer Metabolism, Arthur Riggs Diabetes and Metabolism Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA.
Min TalleyBiostatistics and Mathematical Oncology Core, City of Hope Comprehensive Cancer Center, Duarte, CA.
Nadia PaquinDepartment of Diabetes and Cancer Metabolism, Arthur Riggs Diabetes and Metabolism Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA.
Zhuo ChenDepartment of Diabetes Complications and Metabolism, Arthur Riggs Diabetes and Metabolism Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA.
Bart O RoepDepartment of Internal Medicine, Leiden University Medical Center, Leiden, the Netherlands.
John S KaddisDepartment of Diabetes and Cancer Discovery Science, Arthur Riggs Diabetes and Metabolism Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA.
Rama NatarajanDepartment of Diabetes Complications and Metabolism, Arthur Riggs Diabetes and Metabolism Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA.
John TerminiDepartment of Cancer Biology and Molecular Medicine, Beckman Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA.
Sarah C ShuckDepartment of Diabetes and Cancer Metabolism, Arthur Riggs Diabetes and Metabolism Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA.ORCID 0000-0001-6291-1553
City of Hope · USLeiden University Medical Center · NL

Funding

Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI XIWEI WU · 1985 to 2026
$86.3M
Inflammatory Gene Transcription In Diabetic ConditionsR01DK065073 · NIDDK · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI NATARAJAN, RAMA · 2003 to 2021
$7.9M
Transcriptional Regulation by Angiotensin II in Vascular Smooth Muscle CellsR01HL106089 · NHLBI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI NATARAJAN, RAMA · 2011 to 2024
$6.6M
Transforming growth factor beta1, microRNAs, lncRNA and diabetic nephropathyR01DK081705 · NIDDK · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI NATARAJAN, RAMA · 2009 to 2023
$6.1M
Hyperglycemia-induced DNA damage as a driver of genomic instabilityR01CA176611 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI O'CONNOR, TIMOTHY R, TERMINI, JOHN S · 2013 to 2017
$2.1M
Epigenetic changes and methylglyoxal adducts induced by metabolic regulation in patients with type 1 diabetes that develop complicationsR21DK127285 · NIDDK · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI SHUCK, SARAH C. · 2020 to 2022
$660k
NCI NIH HHS P30 CA033572NCI NIH HHS R01 CA176611NHLBI NIH HHS R01 HL106089NIDDK NIH HHS R01 DK065073NIDDK NIH HHS R01 DK081705NIDDK NIH HHS R21 DK127285NIDDK NIH HHS X01DK118575NIH HHSNIH HHS 1R21DK127285
6 · The paper itself

Abstract

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. ARTICLE HIGHLIGHTS:

Indexed as

Diabetes Mellitus, Type 1Diabetic NephropathiesBiomarkersFollow-Up StudiesGlomerular Filtration RateGlycated HemoglobinHumansPrognosisPyruvaldehydeBiomarkersGlycated HemoglobinPyruvaldehyde

Identifiers

PMID37967313
PMCPMC10958582
OpenAlexW4388688839

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.