» Articles » PMID: 39037979

Key Extracellular Proteins and TF-miRNA Co-regulatory Network in Diabetic Foot Ulcer: Bioinformatics and Experimental Insights

Overview
Journal PLoS One
Date 2024 Jul 22
PMID 39037979
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Diabetic foot ulcers (DFUs), a serious complication of diabetes, are associated with abnormal extracellular protein (EP) metabolism. The identification of key EPs and their regulatory networks is crucial for the understanding of DFU formation and development of effective treatments. In this study, a large-scale bioinformatics analysis was conducted to identify potential therapeutic targets and experimental validation was performed to ensure the reliability and biological relevance of the findings.

Methods: Due to the comprehensive profiling of DFU samples provided by the GSE80178 dataset, we initially selected it to derive differentially expressed genes (DEGs) associated with DFU. Subsequently, utilizing the UniProt database and annotated EP list from the Human Protein Atlas annotation database, we screened for extracellular protein-related differentially expressed genes (EP-DEGs) due to their crucial role in the pathogenesis and healing of DFU. We examined EP-DEG pathway enrichment and protein-protein interaction networks, analyzed paired full-thickness skin tissue samples from 24 patients with DFUs and healthy controls, and performed polymerase chain reaction (PCR) experiments to validate candidate genes. Ultimately, we constructed a transcription factor (TF)-microRNA (miRNA)-hub gene co-regulatory network to explore upstream and downstream regulatory connections based on validated DEGs.

Results: Four crucial candidate genes (FMOD, LUM, VCAN, and S100A12) were identified and verified via PCR analysis. The TF-miRNA-hub EP-DEG regulatory network contained the pivotal TFs TRIM28 and STAT3 and the miRNAs hsa-mir-20a-5p, hsa-miR-21, and hsa-miR-203.

Conclusion: The findings of this study advance our understanding of the pathology of DFU by defining key roles of specific EPs and elucidating a comprehensive regulatory network. These insights pave the way for novel approaches to improve DFU treatment outcomes.

References
1.
Rousselle P, Montmasson M, Garnier C . Extracellular matrix contribution to skin wound re-epithelialization. Matrix Biol. 2018; 75-76:12-26. DOI: 10.1016/j.matbio.2018.01.002. View

2.
Lachmann A, Xu H, Krishnan J, Berger S, Mazloom A, Maayan A . ChEA: transcription factor regulation inferred from integrating genome-wide ChIP-X experiments. Bioinformatics. 2010; 26(19):2438-44. PMC: 2944209. DOI: 10.1093/bioinformatics/btq466. View

3.
Liu Z, Wu C, Miao H, Wu H . RegNetwork: an integrated database of transcriptional and post-transcriptional regulatory networks in human and mouse. Database (Oxford). 2015; 2015. PMC: 4589691. DOI: 10.1093/database/bav095. View

4.
. Gene Ontology Consortium: going forward. Nucleic Acids Res. 2014; 43(Database issue):D1049-56. PMC: 4383973. DOI: 10.1093/nar/gku1179. View

5.
. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet. 2016; 388(10053):1659-1724. PMC: 5388856. DOI: 10.1016/S0140-6736(16)31679-8. View