4.8 Article

Monitoring Wound Healing with Topically Applied Optical NanoFlare mRNA Nanosensors

期刊

ADVANCED SCIENCE
卷 9, 期 18, 页码 -

出版社

WILEY
DOI: 10.1002/advs.202104835

关键词

diabetic wound; mRNA nanosensors; NanoFlare; spherical nucleic acids; wound healing

资金

  1. Singapore Agency for Science, Technology and Research (A*STAR) Science and Engineering Research Council Additive Manufacturing for Biological Materials (AMBM) program [A18A8b0059]
  2. City University of Hong Kong [9610472]
  3. General Research Fund (GRF) from University Grant Committee of Hong Kong (UGC) Research Grant Council (RGC) [9042951, 9043133]
  4. NSFC/RGC Joint Research Scheme [N_CityU118/20]
  5. RGC of Hong Kong
  6. Germany Academic Exchange Service of Germany [CityU101/21]
  7. Korea Medical Device Development Fund from the Korea government (the Ministry of Science and ICT)
  8. Ministry of Trade, Industry and Energy
  9. Ministry of Health Welfare
  10. Ministry of Food and Drug Safety [KMDF_PR_20200901_0039]

向作者/读者索取更多资源

This article discusses the development and application of mRNA nanosensors for wound management, which can accurately assess wound status and track the healing process in real time.
An effective wound management strategy needs accurate assessment of wound status throughout the whole healing process. This can be achieved by examining molecular biomarkers including proteins, DNAs, and RNAs. However, existing methods for quantifying these biomarkers such as immunohistochemistry and quantitative polymerase chain reaction are usually laborious, resource-intensive, and disruptive. This article reports the development and utilization of mRNA nanosensors (i.e., NanoFlare) that are topically applied on cutaneous wounds to reveal the healing status through targeted and semi-quantitative examination of the mRNA biomarkers in skin cells. In 2D and 3D in vitro models, the efficacy and efficiency of these nanosensors are demonstrated in revealing the dynamic changes of mRNA biomarkers for different stages of wound development. In mouse models, this platform permits the tracking and identification of wound healing stages and a normal and diabetic wound healing process by wound healing index in real time.

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