Evidence map›Paper›PMID 40677326›Full record

ArticleKidney international reports2025

Complement Proteins Identify Rapidly Progressive Diabetic Kidney Disease.

Donghwan Yun, Sohyun Bae, Yuqian Gao, Lauren Lopez, Dohyun Han, Carrie D Nicora, Tae Youn Kim, Kyung Chul Moon, Dong Ki Kim, Thomas L Fillmore and 7 more

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PubMed Full text at PMC Publisher
In one paragraph

Article in Kidney international reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Donghwan YunDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Sohyun BaeDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Yuqian GaoBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.
Lauren LopezDivision of Nephrology, Department of Medicine, University of California, Davis, California, USA.
Dohyun HanTransdisciplinary Department of Medicine and Advanced Technology, Seoul National University Hospital, Seoul, Korea.
Carrie D NicoraBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.
Tae Youn KimSchool of Nursing, University of California, Davis, Sacramento, California, USA.
Kyung Chul MoonDepartment of Pathology, Seoul National University College of Medicine, Seoul, Korea.
Dong Ki KimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Thomas L FillmoreBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.
Yon Su KimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Avi Z RosenbergDepartment of Pathology, Johns Hopkins University, Maryland, USA.
Weijie WangDepartment of Internal Medicine, University of California, Berkeley, Berkeley, California, USA.
Pinaki SarderDepartment of Medicine-Quantitative Health, University of Florida College of Medicine, Gainesville, Forida, USA.
Wei-Jun QianBiological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA.
Maryam AfkarianDepartment of Internal Medicine, University of California, Davis, California, USA.
Seung Seok HanDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Mechanisms underlying diabetic kidney disease (DKD) progression remain incompletely understood. This study used untargeted and targeted mass spectrometry-based proteomics in 2 independent cohorts to capture rapidly progressive DKD. Methods: We conducted untargeted and targeted mass spectrometry on urine samples from Korean patients with type 2 diabetes and biopsy-confirmed diabetic nephropathy (SNUH-DN cohort; Results: In the SNUH-DN patients, urine proteins clustered into 2 groups, with cluster 1 exhibiting a 4.6-fold higher hazard of disease progression (95% confidence interval [CI]: 1.9-11.5) than cluster 0. Proteins in cluster 1 mapped to 10 pathways, 4 of the top 5 being complement-related. A high complement score, derived from urine complement protein abundance, correlated with histopathologic features of DKD and conferred a 2.4-fold greater hazard of disease progression (95% CI: 1.0-5.4) than a low complement score. In CRIC-T2D, targeted mass spectrometry similarly confirmed that complement score stratified patients into rapid and slow DKD progression groups. In both cohorts, complement score exhibited a linear association with disease progression. Conclusion: The strong association between complement activation and rapid DKD progression highlights the need to explore complement inhibition as a potential therapeutic strategy for DKD.

Indexed as

biomarkerscomplement system proteinsdiabetic nephropathiespathologyproteomics

Identifiers

PMID40677326
PMCPMC12266264

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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.