ReviewInternational journal of pharmaceutics: X2026
Advancing preclinical research with reconstructed in vitro skin models mimicking non-healing wounds.
Review in International journal of pharmaceutics: X, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Probiotics and Extracellular Vesicles as Redox Modulators in Wound Healing: From Microbial Therapeutics to Engineered Nanotherapeutic Strategies.Antioxidants (Basel, Switzerland) · 2026Review
- Vegetable Butter-Based Nanocarriers: Do Nanoparticulation and Quercetin Loading Modulate In vitro Cellular Effects Involved in Wound Healing?AAPS PharmSciTech · 2026Article
- Combined Lingzhi Huang capsules and Zeng Jian health tonic accelerates skin wound healing via BMP5-mediated inhibition of ferroptosis.Frontiers in immunology · 2026Article
- Mitochondrial morphology and mtDNA content in fibroblasts from patients with different types of mucopolysaccharidosis.Acta biochimica Polonica · 2026Article
- Bioadhesive hydrogels as immunomodulatory interfaces for chronic wound healing: from microenvironmental regulation mechanism to engineering strategies.Burns & trauma · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chronic skin wounds remain a significant therapeutic challenge worldwide, primarily due to persistent inflammation, impaired function of fibroblasts and keratinocytes, defective angiogenesis, and the presence of complex polymicrobial biofilms. Conventional animal models only partially capture these human-specific pathophysiological mechanisms, limiting their predictive value for pharmacological development. Recent advances in human 3D in vitro skin models, including reconstructed human epidermis, full-thickness skin equivalents, vascularized and innervated constructs, and chronic wound-derived cell systems, provide opportunities to evaluate therapeutic strategies under controlled, human-relevant conditions. Here, we critically synthesize how engineered skin platforms recreate key pathological hallmarks of non-healing wounds, including IL-1/TNF-α-driven inflammation, RAGE-NOX4-mediated oxidative stress, MMP/TIMP imbalance, fibroblast and keratinocyte senescence, impaired HIF-1α/VEGF-dependent angiogenesis, immune polarization defects, and biofilm-associated antimicrobial tolerance. We examine scaffold-based, decellularized, and bioprinted approaches that enable the incorporation of adipocytes, endothelial cells, sensory neurons, and immune compartments, enhancing the mechanistic resolution with which chronic wound biology can be interrogated. By integrating cellular, biochemical, immune, vascular, and microbial components, next-generation models allow pharmacological interrogation of targets such as IL-1/IL-1R, IL-6/STAT3, TNF-α/TNFR, RAGE-NOX4, Nrf2/KEAP1, ERK/AKT, Ang/Tie2, ferroptosis regulators, senescence pathways, and neuroimmune modulators. Collectively, these platforms bridge the gap between reductionist assays and clinical complexity, offering a rational framework for mechanism-based drug discovery and preclinical screening. This review provides guidelines for selecting and designing advanced human skin models to accelerate the development of effective therapeutics for chronic non-healing wounds.
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Registered trials
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.