Evidence mapPaperPMID 41756312Full record

ReviewDrug design, development and therapy2026

Neutrophil Extracellular Traps in Diabetic Kidney Disease: Mechanisms of Pathogenesis and Emerging Therapeutic Strategies.

Binqi Wang, Ruikai Zhang, Xinbo Liu, Yiwei Shang, Taian Jin, Chan Gao, Nan Yang, Juan Jin, Qiang He

Abstract readReview
In one paragraph

Review in Drug design, development and therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

9 authors.

Binqi Wang *Department of Nephrology, the First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, 310006, People's Republic of China.
Ruikai Zhang *Department of Nephrology, the First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, 310006, People's Republic of China.ORCID 0009-0006-2904-6696
Xinbo LiuDepartment of Nephrology, the First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, 310006, People's Republic of China.
Yiwei ShangDepartment of Nephrology, the First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, 310006, People's Republic of China.
Taian JinDepartment of Nephrology, the First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, 310006, People's Republic of China.ORCID 0000-0001-8867-5552
Chan GaoDepartment of Nephrology, the First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, 310006, People's Republic of China.
Nan YangDepartment of Nephrology, the First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, 310006, People's Republic of China.
Juan JinDepartment of Nephrology, the First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, 310006, People's Republic of China.
Qiang HeDepartment of Nephrology, the First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, 310006, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic kidney disease (DKD) is a major microvascular complication of diabetes mellitus and the leading global cause of end-stage renal disease. While chronic hyperglycemia and classic metabolic pathways such as protein kinase C activation, advanced glycation end product (AGE) accumulation, and renin-angiotensin system overactivity elucidate many features of DKD, they do not fully account for its complex inflammatory pathology. Recent studies have highlighted neutrophil extracellular trap (NET) formation, or NETosis, as a critical mechanism linking metabolic stress to immune dysregulation in DKD. NETosis is a specialized form of programmed cell death in neutrophils that releases web-like chromatin structures decorated with histones, elastase, and myeloperoxidase. Although these structures function as protective barriers against pathogens, they become pathogenic when dysregulated. In the diabetic milieu, hyperglycemia, advanced glycation end products (AGEs), protein kinase C signaling, lipid abnormalities, and pro-inflammatory cytokines all promote excessive NETosis. Once formed, NETs drive renal injury by inducing endothelial dysfunction, podocyte and tubular epithelial cell damage, macrophage activation, and profibrotic signaling, thereby accelerating inflammation, fibrosis, and renal decline. Therapeutic strategies targeting NETosis are emerging, including inhibitors of PAD4, NADPH oxidase, and neutrophil elastase, as well as NET-degrading agents such as DNase I and histone-neutralizing compounds. Classical antidiabetic drugs, notably metformin and GLP-1 receptor agonists, also show potential in modulating NET formation. Collectively, these insights position NETosis as both a biomarker and a therapeutic target in DKD, offering novel opportunities to mitigate diabetes-associated renal complications.

Indexed as

Diabetic NephropathiesExtracellular TrapsHypoglycemic AgentsNeutrophilsAnimalsHumansHypoglycemic Agentsdiabetic kidney diseaseinflammationkidney injuryNETosisneutrophil extracellular trapstherapeutic targets

Identifiers

PMID41756312
PMCPMC12935511

What Socratic holds

Textmetadata
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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 Socratic graph.