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Updated: Oct 15, 2025

A High-Throughput Multiplexed Screening for Type 1 Diabetes, Celiac Diseases, and COVID-19
Published on: July 5, 2022
COVID-19-Induced New-Onset Diabetes: Trends and Technologies
Ahmed A Metwally1,2,3, Pranav Mehta4, Brian S Johnson5
1Department of Genetics, Stanford University, Stanford, CA ametwall@stanford.edu mpsnyder@stanford.edu.
The COVID-19 pandemic is linked to new-onset diabetes and complications in patients. Research is exploring this bidirectional relationship and using technology for better understanding and management.
Area of Science:
- Endocrinology
- Infectious Diseases
- Public Health
Background:
- The COVID-19 pandemic has impacted global health, with significant morbidity and mortality.
- Pre-existing diabetes is a risk factor for severe COVID-19 outcomes.
- Emerging evidence suggests a link between COVID-19 infection and new-onset diabetes or worsening of existing diabetes.
Purpose of the Study:
- To review the current understanding of the epidemiology and mechanisms underlying the bidirectional relationship between COVID-19 and diabetes.
- To identify challenges in studying COVID-19-induced diabetes and propose solutions.
- To highlight the role of emerging technologies in diabetes research.
Main Methods:
- Literature review of epidemiological data and mechanistic studies.
- Analysis of challenges in clinical research and patient monitoring.
- Exploration of advancements in wearable technology and microsampling for diabetes management.
Main Results:
- COVID-19 may increase the risk of hyperglycemia and diabetes complications in both diabetic and non-diabetic individuals.
- The exact type of diabetes induced by COVID-19 (Type 1, Type 2, or atypical) remains unclear.
- The long-term risk of new-onset diabetes and complications in COVID-19 survivors requires further investigation.
Conclusions:
- A complex bidirectional relationship exists between COVID-19 and diabetes, necessitating further research.
- Overcoming research challenges requires innovative approaches and technological integration.
- Wearable technologies and microsampling offer promising avenues for studying and managing diabetes in the context of COVID-19.
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