COVID-19 and Diabetes; possible role of polymorphism and rise of telemedicine

Background: Diabetes has been found to be one of the leading comorbidities associated with fatality in COVID-19 patients. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) entry is facilitated by interaction with Angiotensin Converting Enzyme-2 (ACE2) and possible polymorphisms in ACE2 ca...

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Autores:
Tipo de recurso:
Article of investigation
Fecha de publicación:
2020
Institución:
Universidad de Bogotá Jorge Tadeo Lozano
Repositorio:
Expeditio: repositorio UTadeo
Idioma:
eng
OAI Identifier:
oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/12820
Acceso en línea:
https://doi.org/10.1016/j.pcd.2020.08.018
http://hdl.handle.net/20.500.12010/12820
Palabra clave:
COVID-19
Diabetes
ACE2
SNP
Polymorphism
Telemedicine
Síndrome respiratorio agudo grave
COVID-19
SARS-CoV-2
Coronavirus
Rights
License
Acceso restringido
Description
Summary:Background: Diabetes has been found to be one of the leading comorbidities associated with fatality in COVID-19 patients. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) entry is facilitated by interaction with Angiotensin Converting Enzyme-2 (ACE2) and possible polymorphisms in ACE2 can be a determining factor in host-viral protein interaction. A significant shift of healthcare towards ‘Telemedicine’ is also on the rise. In this review, the possible effects of ACE2 polymorphisms on SARSCoV-2 entry along with the escalation of ‘telemedicine’ is discussed. Method: An expansive literature search using keywords: “COVID-19”, “SARS-CoV-2”, “diabetes”, “type 2 diabetes’’, “type 1 diabetes”, “ACE2”, “polymorphism”, “DPP4” and “telemedicine” was conducted on Pubmed and EMBASE till 7th August, 2020. Result: Possible polymorphisms in ACE2 gene can play a role in influencing the virus entry in host body. Telemedicine can be bring a new revolution for medical sector. Conclusion: COVID-19 severity is more heinous among diabetic population. So far, the in-silico studies involving human ACE2-viral Spike (S) interaction showed inconsistent predictions regarding some SNPs. But without actual in-vivo studies, a holistic understanding can’t be established.