Evidence map›Paper›PMID 42127081›Full record

ArticlePloS one2026

Integrative bioinformatic analysis prioritizes TIMP1 and FN1 as angiogenesis-related candidate genes in diabetic foot ulcers.

Xiangjun Hu, Degang Dong, Yunfei Wang, Hong Cai, Hongwei Yin, Zhangren Yan

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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

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6 authors.

Xiangjun HuGraduate School, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China.
Degang DongSchool of Traditional Chinese Medicine, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China.
Yunfei WangJiangxi Hospital Affiliated Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Hong CaiGraduate School, Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China.
Hongwei YinDepartment of Traditional Chinese Medicine Surgery, The Affiliated Hospital of Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China.
Zhangren YanDepartment of Traditional Chinese Medicine Surgery, The Affiliated Hospital of Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China.ORCID https://orcid.org/0000-0003-4826-2686

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6 · The paper itself

Abstract

backgroundDiabetic foot ulcers (DFUs) represent a severe chronic complication of diabetes and are characterized by persistent impairment of wound healing, accompanied by defective angiogenesis, chronic inflammation, and dysregulated extracellular matrix remodeling. Although impaired angiogenesis is widely recognized as a key pathological feature of DFUs, its associated molecular alterations have not been systematically characterized at the transcriptomic and cellular levels.

methodsIn this study, bulk transcriptomic data were analyzed in combination with machine learning-based gene prioritization and single-cell RNA sequencing to investigate molecular features associated with angiogenesis impairment in DFUs. Differential expression analysis was performed using the GSE199939 and GSE134431 datasets, followed by GO and KEGG enrichment analyses. Angiogenesis-related genes were retrieved from the MSigDB HALLMARK_ANGIOGENESIS and GO:0001525, and intersected with the DEGs to generate a candidate gene set. A LASSO logistic regression model was then constructed in the discovery cohort and evaluated in a replication cohort, yielding a five-gene signature consisting of APLN, ENG, FN1, SERPINA5, and TIMP1. Single-cell transcriptomic data were subsequently used to examine the cellular expression patterns of these feature genes.

resultsAmong the five feature genes, FN1 and TIMP1 showed relatively clear expression localization at the single-cell level. Single-cell RNA sequencing analysis revealed that FN1 was mainly enriched in fibroblasts and stromal-related cell populations, including pericytes/smooth muscle cells, whereas TIMP1 exhibited a multicellular expression pattern, with relatively high expression in fibroblasts, inflammatory myeloid cells, macrophages, and proliferating cells. In vivo experiments further showed that TIMP1 and EGFR mRNA expression levels were significantly decreased, whereas MMP9 mRNA expression was significantly increased in wound tissues from the model group. FN1 mRNA showed a downward trend, although the difference did not reach statistical significance.

conclusionThis integrative bioinformatic analysis provides an exploratory characterization of molecular features potentially related to restricted angiogenesis and impaired repair in DFUs and suggests that TIMP1 may represent a more robust candidate linked to proteolysis-related dysregulation, whereas FN1 may more likely reflect stromal extracellular matrix remodeling.

Indexed as

AngiogenesisComputational BiologyDiabetic FootFibronectinsNeovascularization, PathologicTissue Inhibitor of Metalloproteinase-1AnimalsGene Expression ProfilingHumansMiceTranscriptomeWound HealingFibronectinsTIMP1 protein, humanTissue Inhibitor of Metalloproteinase-1

Identifiers

PMID42127081
PMCPMC13170874

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