Evidence map›Paper›PMID 42045413›Full record

ArticleScientific reports2026

Integrating bulk and single-cell RNA sequencing identifies and validates lactylation-related signatures in diabetic foot ulcers.

Xiao Peng, Wenqiang Wang, Xinyu Nie, Qikai Hua

Abstract read
In one paragraph

Article in Scientific reports, 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

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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. Transcriptomic Profiling of Diabetic Porcine Wound Healing Model Identifies Key Metabolic, Inflammatory, and Oxidative Stress Pathways.Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society
    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

4 authors.

Xiao PengThe First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous, China.
Wenqiang WangThe First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous, China.
Xinyu NieDepartment of Orthopedics, The First Affiliated Hospital of the University of Science and Technology of China, No. 17, Lujiang Road, Hefei City, Anhui Province, China. niexy21@mails.jlu.edu.cn.
Qikai HuaThe First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous, China. hqk100@yeah.net.

Funding

Clinical research climbing plan of the First Affiliated Hospital of Guangxi Medical University YYZS2020010
6 · The paper itself

Abstract

Diabetic foot ulcers (DFU) is severe complications of diabetes mellitus, affecting 15–25% of diabetic patients and imposing substantial healthcare burdens. Lactylation has emerged as a critical regulator in inflammation and wound healing processes. However, the role of lactylation-related mechanisms in DFU pathogenesis remains poorly understood. We integrated the lactylation-related genes (LRGs) and systematically analysed the expression levels of these genes to characterize a gene signature related to DFUs through bulk RNA-seq and single-cell RNA-seq (scRNA-seq) datasets. Single-cell RNA sequencing identified ten major cell populations in DFU tissues. Augur prioritization and AUCell analysis revealed significantly elevated lactylation-related gene (LRG) activity in fibroblasts and multiple immune-related cell types in DFU, with fibroblasts exhibiting the strongest transcriptional perturbation. Subclustering analysis defined a DFU-enriched fibroblast subset (DFU_Fibroblasts), in which hdWGCNA identified red and brown gene modules tightly associated with this population. Bulk RNA-seq integration identified six differentially expressed LRGs enriched in mitochondrial respiratory chain organization and pyruvate metabolism, suggesting metabolic remodeling. Machine learning approaches further identified four hub LRGs (USB1, COX5A, LDHA, and NFU1) with robust diagnostic performance (AUC = 0.904 in the training cohort). Immune infiltration analysis revealed altered macrophage polarization and NK cell imbalance in DFU. At the single-cell level, hub LRG–high fibroblasts displayed glycolysis-oriented metabolic features, early pseudotime positioning, and enhanced outgoing signaling toward monocytes via the PPIA–BSG and ANGPTL2–ITGA5 + ITGB1 axes. Molecular docking indicated favorable binding between capsaicin and COX5A and LDHA, and qPCR validation confirmed significant upregulation of all four hub genes in DFU samples. Our study identifies a lactate-associated transcriptional program in DFU that is linked to fibroblast heterogeneity, metabolic reprogramming, and alterations in the immune microenvironment. The identified hub LRGs (COX5A, LDHA, USB1 and NFU1) exhibit diagnostic potential and may represent candidate molecular targets within this metabolic–inflammatory network. These findings provide a mechanistic framework for understanding the involvement of lactylation-related pathways in DFU progression and support further investigation into targeted therapeutic strategies.

Indexed as

Diabetic FootFibroblastsGene Expression ProfilingHumansSequence Analysis, RNASingle-Cell AnalysisSingle-Cell Gene Expression AnalysisDiabetic foot ulcerfibroblast heterogeneityimmune microenvironmentlactylationmachine learningmetabolic reprogrammingsingle-cell RNA sequencing

Identifiers

PMID42045413
PMCPMC13287707

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Registered trials

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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.