Artificial Intelligence-Assisted Bioinformatics, Microneedle, and Diabetic Wound Healing : A "New Deal" of an Old Drug

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

17 Scopus Citations
View graph of relations

Author(s)

  • Yanan Xue
  • Cheng Chen
  • Jingyu Zhang
  • Qin Fang
  • Rui Jin
  • Xiangyu Mi
  • Danying Sun
  • Yinan Xue
  • Yue Wang
  • Rong Xiong
  • Weiqiang Tan

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)37396–37409
Journal / PublicationACS Applied Materials and Interfaces
Volume14
Issue number33
Online published1 Aug 2022
Publication statusPublished - 24 Aug 2022

Abstract

Diabetic wounds severely influence life, facing grand challenges in clinical treatments. The demand for better treatment is growing dramatically. Diabetic wound healing is challenging because of inflammation, angiogenesis disruptions, and tissue remodeling. Based on sequencing results of diabetic patients' skins and artificial intelligence (AI)-assisted bioinformatics, we excavate a potential therapeutic agent Trichostatin A (TSA) and a potential target histone deacetylase 4 (HDAC4) for diabetic wound healing. The molecular docking simulation reveals the favorable interaction between TSA and HDAC4. Taking advantage of the microneedle (MN) minimally invasive way to pierce the skin barrier for drug administration, we develop a swelling modified MN-mediated patch loaded with TSA to reduce the probability of injection-caused iatrogenic secondary damage. The MN-mediated TSA patch has been demonstrated to reduce inflammation, promote tissue regeneration, and inhibit HDAC4, which provides superior results in diabetic wound healing. We envisage that our explored specific drug TSA and the related MN-mediated drug delivery system can provide an innovative approach for diabetic wound treatment with simple, effective, and safe features and find a broad spectrum of applications in related biomedical fields.

Research Area(s)

  • artificial intelligence, bioinformatics, diabetic wounds, microneedle, Trichostatin A

Citation Format(s)

Artificial Intelligence-Assisted Bioinformatics, Microneedle, and Diabetic Wound Healing: A "New Deal" of an Old Drug. / Xue, Yanan; Chen, Cheng; Tan, Rong et al.
In: ACS Applied Materials and Interfaces, Vol. 14, No. 33, 24.08.2022, p. 37396–37409.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review