ArticleScientific reports2022
Interrelationship between 2019-nCov receptor DPP4 and diabetes mellitus targets based on protein interaction network.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 23 citations in OpenAlex.
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- The interplay of aging, adipose tissue, and COVID-19: a potent alliance with implications for health.GeroScience · 2024Review
- From network pharmacology to molecular docking analysis of sterubin targets for Alzheimer.Bioinformation · 2024Article
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- Enzymatic approaches against SARS-CoV-2 infection with an emphasis on the telomere-associated enzymes.Biotechnology letters · 2023Review
- DPP-4 Inhibitors as a savior for COVID-19 patients with diabetes.Future virology · 2023Review
- The Effects of Viruses on Insulin Sensitivity and Blood-Brain Barrier Function.International journal of molecular sciences · 2023Review
- Shared genetics and causal associations between COVID-19 and multiple sclerosis.Journal of medical virology · 2023Article
- Gene Networks of Hyperglycemia, Diabetic Complications, and Human Proteins Targeted by SARS-CoV-2: What Is the Molecular Basis for Comorbidity?International journal of molecular sciences · 2022Article
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- Newly Diagnosed Diabetes Mellitus During COVID-19: The New Pandemic - A Literature Review.Current tropical medicine reports · 2022Review
- Diabetes and SARS-CoV-2-Is There a Mutual Connection?Frontiers in cell and developmental biology · 2022Review
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Patients with diabetes are more likely to be infected with Coronavirus disease 2019 (COVID-19), and the risk of death is significantly higher than ordinary patients. Dipeptidyl peptidase-4 (DPP4) is one of the functional receptor of human coronavirus. Exploring the relationship between diabetes mellitus targets and DPP4 is particularly important for the management of patients with diabetes and COVID-19. We intend to study the protein interaction through the protein interaction network in order to find a new clue for the management of patients with diabetes with COVID-19. 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, gene ontology (GO) analysis and Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis were carried out respectively. The impact of DPP4 on the whole network was analyzed by scoring the module where it located. 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. 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 patients with diabetes.
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