Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Identification of compounds to promote diabetic wound healing based on transcriptome signature

2 Jun 2025

Abstract excerpt

Purpose Diabetic wounds are characterized by delayed healing, and the resulting diabetic foot ulcer may lead to severe complications, including amputations and mortality. This study aimed to identify potential small molecule drug candidates that can enhance diabetic wound healing through integrating transcriptome signature and experimental validation strategies. Method Gene expression dataset (GSE147890) from a...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Diabetic Foot Ulcer Assessment and Management
Share to NF-κB Signaling Pathways
Share to Wound Healing and Treatments

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 40529493
DOI: 10.3389/fphar.2025.1576056

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of compounds to promote diabetic wound healing based on transcriptome signaturePMID 40529493Read ↗

Revealing the Multi-Target Mechanisms of Fespixon Cream in Diabetic Foot Ulcer Healing: Integrated Network Pharmacology, Molecular Docking, and Clinical RT-qPCR ValidationSemantic proximity Read ↗

Deciphering and verifying cuproptosis-associated hub genes in diabetic foot ulcer by combining single-cell and bulk RNA-sequencingSemantic proximity Read ↗

Bioinformatic Analysis Reveals Hub Immune-Related Genes of Diabetic Foot UlcersSemantic proximity Read ↗

Integrating bioinformatics and multiple machine learning to identify mitophagy-related targets for the diagnosis and treatment of diabetic foot ulcers: evidence from transcriptome analysis and drug dockingSemantic proximity Read ↗

Identifying and Validating Extracellular Matrix-Related Gene CTSH in Diabetic Foot Ulcer Using Bioinformatics and Machine LearningSemantic proximity Read ↗

Identification of Key Candidate Genes and Chemical Perturbagens in Diabetic Kidney Disease Using Integrated Bioinformatics AnalysisSemantic proximity Read ↗

Transcriptomic Analysis of a Diabetic Skin-Humanized Mouse Model Dissects Molecular Pathways Underlying the Delayed Wound Healing ResponseSemantic proximity Read ↗

Exploring necroptosis-associated genes: implications for immune responses and therapeutic strategies in diabetic foot ulcersSemantic proximity Read ↗

A novel diabetic foot ulcer diagnostic model: identification and analysis of genes related to glutamine metabolism and immune infiltrationSemantic proximity Read ↗

Connectivity Mapping Identifies BI-2536 as a Potential Drug to Treat Diabetic Kidney DiseaseSemantic proximity Read ↗

Identification of SASP-associated biomarkers and regulatory mechanisms in diabetic foot ulcers based on transcriptomics and experimental validationSemantic proximity Read ↗

CXCL8 and JAK2, modulated by apigenin, are two regulators in the pathogenesis of diabetic foot ulcerSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.