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COVID-19-Induced New-Onset Diabetes: Trends and Technologies.
Metwally, Ahmed A; Mehta, Pranav; Johnson, Brian S; Nagarjuna, Anvith; Snyder, Michael P.
  • Metwally AA; Department of Genetics, Stanford University, Stanford, CA ametwall@stanford.edu mpsnyder@stanford.edu.
  • Mehta P; Illumina Artificial Intelligence Laboratory, Illumina Inc., San Diego, CA.
  • Johnson BS; Systems and Biomedical Engineering Department, Faculty of Engineering, Cairo University, Giza, Egypt.
  • Nagarjuna A; Rice University, Houston, TX.
  • Snyder MP; Department of Genetics, Stanford University, Stanford, CA.
Diabetes ; 70(12): 2733-2744, 2021 12.
Article in English | MEDLINE | ID: covidwho-1484985
ABSTRACT
The coronavirus disease 2019 (COVID-19) global pandemic continues to spread worldwide with approximately 216 million confirmed cases and 4.49 million deaths to date. Intensive efforts are ongoing to combat this disease by suppressing viral transmission, understanding its pathogenesis, developing vaccination strategies, and identifying effective therapeutic targets. Individuals with preexisting diabetes also show higher incidence of COVID-19 illness and poorer prognosis upon infection. Likewise, an increased frequency of diabetes onset and diabetes complications has been reported in patients following COVID-19 diagnosis. COVID-19 may elevate the risk of hyperglycemia and other complications in patients with and without prior diabetes history. It is unclear whether the virus induces type 1 or type 2 diabetes or instead causes a novel atypical form of diabetes. Moreover, it remains unknown if recovering COVID-19 patients exhibit a higher risk of developing new-onset diabetes or its complications going forward. The aim of this review is to summarize what is currently known about the epidemiology and mechanisms of this bidirectional relationship between COVID-19 and diabetes. We highlight major challenges that hinder the study of COVID-19-induced new-onset of diabetes and propose a potential framework for overcoming these obstacles. We also review state-of-the-art wearables and microsampling technologies that can further study diabetes management and progression in new-onset diabetes cases. We conclude by outlining current research initiatives investigating the bidirectional relationship between COVID-19 and diabetes, some with emphasis on wearable technology.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Diabetes Mellitus / SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study Topics: Long Covid / Vaccines Limits: Humans Language: English Journal: Diabetes Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Diabetes Mellitus / SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study Topics: Long Covid / Vaccines Limits: Humans Language: English Journal: Diabetes Year: 2021 Document Type: Article