Abstract
Objective: Exploring the relationship between diabetes mellitus targets and DPP4 of the receptor of novel coronavirus (2019-nCoV) through a protein interaction network to provide new perspective for clinical medication. Methods: Diabetes mellitus targets were obtained from GeneCards database. Targets with a relevance score exceeding 20 were included, and DPP4 protein was added manually. The initial protein interaction network was obtained through String. The targets directly related to DPP4 were selected as the final analysis targets. Importing them into String again to obtain the protein interaction network. Module identification, GO analysis and KEGG pathway analysis were carried out respectively. The impact of DPP4 on the whole network was analyzed by scoring the module where it located. Results: 43 DPP4-related proteins were finally selected from the diabetes mellitus targets and three functional modules were found by the cluster analysis. Module 1 was involved in insulin secretion and glucagon signaling pathway, module 2 and module 3 were involved in signaling receptor binding. The scoring results showed that LEP and apoB in module 1 were the highest, and the scores of INS, IL6 and ALB of cross module associated proteins of module 1 were the highest.Conclusions: DPP4 is widely associated with key proteins in diabetes mellitus. COVID-19 may affect DPP4 in patients with diabetes mellitus, leading to high mortality of diabetes mellitus combined with COVID-19. DPP4 inhibitors and IL-6 antagonists can be considered to reduce the effect of COVID-19 infection on diabetic patients.
SP421SODIUM ZIRCONIUM CYCLOSILICATE FOR HYPERKALAEMIA IN PATIENTS WITH DIABETES MELLITUS: RETROSPECTIVE ANALYSIS OF A 12 MONTH OPEN LABEL, PHASE 3 STUDY