Evidence map›Paper›PMID 42743268›Full record

ArticlePloS one2026

Associations between serum lactate and renal dysfunction in diabetic kidney disease: An exploratory analysis integrating animal experiments, clinical cohorts, and bioinformatic approaches.

Zongtao Li, Wenyu Zhang, Die Fang, Bingwu Zhao, Tianwei Zhang, Xueqin Zhang, Zhiqiang Chen

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Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Zongtao LiHebei University of Chinese Medicine, Shijiazhuang, Hebei, China.
Wenyu ZhangHebei University of Chinese Medicine, Shijiazhuang, Hebei, China.
Die FangHebei University of Chinese Medicine, Shijiazhuang, Hebei, China.
Bingwu ZhaoHebei University of Chinese Medicine, Shijiazhuang, Hebei, China.
Tianwei ZhangHebei University of Chinese Medicine, Shijiazhuang, Hebei, China.
Xueqin ZhangHebei University of Chinese Medicine, Shijiazhuang, Hebei, China.
Zhiqiang ChenHebei University of Chinese Medicine, Shijiazhuang, Hebei, China.ORCID https://orcid.org/0000-0001-6590-739X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDiabetic kidney disease (DKD) is a major cause of end-stage renal disease, but the metabolic changes associated with its progression are still not well understood. Lactate, traditionally regarded as a byproduct of glycolysis, has been increasingly recognized in recent studies in association with broader metabolic and regulatory processes. This study aimed to evaluate the association between serum lactate and renal dysfunction in DKD and to explore candidate molecular pathways linking lactate-associated metabolic alterations to DKD-related renal injury using animal experiments, clinical cohort analyses, and exploratory bioinformatic approaches.

methodsWe established DKD in rats by combining right nephrectomy with streptozotocin-induced diabetes to examine metabolic and kidney changes. Clinical associations were evaluated using data from 593 DKD patients in the MIMIC-IV database and were further examined in an independent eICU validation cohort. Associations between serum lactate and renal function were analyzed using correlation and multivariable regression. Candidate molecular pathways were explored using integrated network-based bioinformatics, including target prediction, protein-protein interaction analysis, enrichment analysis, and molecular docking.

resultsDKD rats showed significantly elevated serum lactate and evidence of kidney injury, with lactate strongly correlating with the kidney function marker cystatin C (ρ = 0.748, P = 0.0081). In clinical data, elevated lactate was independently associated with higher serum creatinine (β = 0.13, 95% CI: 0.004-0.256, P = 0.044), and this positive association was further supported in the external eICU cohort. Network analysis identified 43 overlapping targets linking lactate to DKD, highlighting hub proteins such as PTGS2, EGFR, TP53, ESR1, MAPK3, and MMP9, mainly enriched in inflammation, fibrosis, and metabolism-related pathways.

conclusionsElevated serum lactate was associated with renal dysfunction in DKD across animal and clinical datasets. In ICU-based clinical cohorts, this association suggests that lactate may reflect concurrent metabolic and hemodynamic stress related to renal dysfunction, rather than serving as a DKD-specific biomarker or causal mediator. Exploratory bioinformatic analyses identified candidate inflammatory, fibrotic, vascular, and metabolic pathways that may provide molecular context for this association. These computational findings should be interpreted as hypothesis-generating and require further experimental validation.

Indexed as

Diabetic NephropathiesKidneyLactic AcidAnimalsBiomarkersCohort StudiesComputational BiologyDiabetes Mellitus, ExperimentalHumansMaleRatsRats, Sprague-DawleyBiomarkersLactic Acid

Identifiers

PMID42743268
PMCPMC13577499

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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 Socratic graph.