Evidence map›Paper›PMID 41519764›Full record

ReviewLipids in health and disease2026

Adipokine networks in diabetic kidney disease: mechanistic insights and therapeutic implications.

Ke Yang, Yuyang Fang, Junbo He, Jing Li

Abstract readReview
In one paragraph

Review in Lipids in health and disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Ke YangDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.ORCID http://orcid.org/0009-0006-2708-615X
Yuyang FangDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.ORCID http://orcid.org/0009-0000-5857-7046
Junbo HeDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.ORCID http://orcid.org/0009-0008-6927-4284
Jing LiDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China. jlsdxhxc@163.com.ORCID http://orcid.org/0009-0008-1722-0196

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic kidney disease (DKD), the predominant microvascular complication of diabetes mellitus, perpetuates a significant global health and socioeconomic challenge, complicating the pursuit of sustainable renal care. Adipokines, bioactive proteins secreted by adipose tissue that modulate lipid metabolism, function as key modulators potentially integrating systemic metabolic and inflammatory signals with renal pathophysiology Mechanistic investigations reveal that adipokines orchestrate a range of interconnected pathways, which include metabolic dysregulation (characterized by insulin resistance and lipid overload), immune-inflammatory responses (mediated by nuclear factor kappa B [NF-κB], NLR family pyrin domain containing 3 [NLRP3], and chemokine axes), oxidative stress coupled with mitochondrial dysfunction (involving adenosine monophosphate-activated protein kinase [AMPK] and peroxisome proliferator-activated receptor gamma coactivator 1-alpha [PGC-1α], reactive oxygen species [ROS]), endothelial dysfunction, fibrogenesis (driven by transforming growth factor beta [TGF-β]/Smad and epithelial-mesenchymal transition [EMT]), and the imbalance between apoptosis and autophagy. Protective adipokines such as adiponectin, irisin, and vaspin may mitigate harmful signaling, whereas leptin, resistin, visfatin, and chemerin could amplify injury through pro-inflammatory, pro-fibrotic, and lipotoxic pathways. Both circulating and urinary levels of adipokines may correlate with proteinuria, which suggests their potential utility in early detection, risk stratification, or therapeutic monitoring, although further validation is required.Emerging pharmacological, genetic, and lifestyle interventions may modulate adipokine networks to confer renal protection. The integration of multi-omics approaches, single-cell analysis, and spatial profiling with models that closely mimic human physiology is essential for identifying key signaling nodes, validating biomarkers, and developing precision-targeted therapies. Collectively, a detailed, network-oriented understanding of lipid-regulating adipokines could support efforts toward the development of personalized prevention and treatment strategies in DKD.

Indexed as

AdipokinesDiabetic NephropathiesAdipose TissueAnimalsHumansInsulin ResistanceLipid MetabolismOxidative StressSignal TransductionAdipokinesAdipokinesDiabetic nephropathiesFibrosisInflammationLipid metabolismOxidative stressPrecision medicineSystems biology

Identifiers

PMID41519764
PMCPMC12879388

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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 OpenQuestion graph.