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Can We Reduce Mortality of COVID-19 if We do Better in Glucose Control?
Deng, Mingyan; Jiang, Ling; Ren, Yan; Liao, Jiayu.
  • Deng M; West China-California Center for Predictive Intervention Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
  • Jiang L; Biochemistry and Molecular biology Department, School Basic Medical Science, Heilongjiang University of Chinese Medicine, 24 Heping Road, Harbin, 150040, P.R.China.
  • Ren Y; Division of Endocrinology and Metabolism, West China Hospital of Sichuan University, Chengdu 610041, People's Republic of China.
  • Liao J; Department of Bioengineering, College of Engineering, University of California at Riverside, 900 University Avenue, Riverside, CA 92521, United States of America.
Med Drug Discov ; 7: 100048, 2020 Sep.
Article in English | MEDLINE | ID: covidwho-459361
ABSTRACT
The SARS-CoV-2 has infected more than 3 million people and caused more than 240,000 death globally. Among the COVID-19 patients, the prevalence of people with other chronic diseases, such as diabetes, high blood pressure, and coronary heart disease is much higher than others. More strikingly, the survival rate of diabetic patients is also much lower than in non-diabetic patients. In addition to the general damage of high glucose to cells and tissues, a recent discovery that high glucose activates interferon regulatory factor 15 promotes influenza virus -induced cytokine storm. This discovery may shed light on the high incidence of diabetes in COVID-19. Several diabetes prevention strategies together with recent significant data-driven diabetes prediction approaches, which may help COVID-19 treatments, have been proposed.

Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Journal: Med Drug Discov Year: 2020 Document Type: Article Affiliation country: J.medidd.2020.100048

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study Language: English Journal: Med Drug Discov Year: 2020 Document Type: Article Affiliation country: J.medidd.2020.100048