ABSTRACT
BACKGROUND: There are lots of researches about using adipose-derived stem cells to promote damage repair, but the studies from the perspective of exosome from adipose-derived stem cells based on proteomics and bioinformatics technologies are rarely reported. OBJECTIVE: To analyze the differentially expressed proteins of exosome from adipose-derived stem cells between diabetic patients with leg ulcers and healthy adults through proteomics and bioinformatics technologies, so as to screen out the diagnostic and prognostic landmarks. METHODS: Adipose-derived stem cells were obtained from 25 diabetic patients (trial group) with leg ulcers who accepted debridement skin grafting at the Department of Plastic and Burn, Second Affiliated Hospital of Air Force Military Medical University from October 2018 to May 2019 and 10 healthy adults who concurrently accepted liposuction (control group). Exosomes from adipose-derived stem cells were extracted for identification. Three cases were randomly selected from each group for proteomics analysis. LFQ technology was used to conduct quantitative analysis. GO and Pathway analysis for the differentially expressed proteins were performed using clueGO (version 2.5.4) was used to do. The transactional analysis between proteins was conducted (String database, version 11.0, R software clusterProfi ler package, FDR < 0.25). RESULTS AND CONCLUSION: (1) Totally 231 quantitative differentially expressed proteins were screened out, 31 kinds of which had significant difference. There were 29 down-regulated proteins and 2 up-regulated proteins in the trial group. (2) Differential proteins had a high correlation with nutrition and metabolic diseases. Differentially expressed proteins were mostly expressed in extracellular vesicles and platelet alpha granules and were mainly involved in two biological processes-coagulation process and lipid transport. The main molecular functions of differential proteins were related to enzyme inhibitor activity and heparin binding capacity. (3) The pathway analysis of PPI and KEGG showed that the significantly down-regulated ITGA2B and ITGB3 proteins were closely related to the course of the disease in the trial group, both of which are expected to be the new targets in stem cell treatment for diabetes with leg ulcers.
ABSTRACT
Smart dressings, which show obvious advantage and potential in wound treatment and real-time monitoring, attract widespread attention in recent years. Real-time and dynamic acquiring wound information is vital to the treatment and prognosis of wound. Further research on smart dressings is helpful for wound management, personalized treatment, and realization of medical application translation of health monitoring technology. In the article, we categorize smart dressings and conclude their functions according to the type of micro-environment information of wound gathered by smart dressings.