The impact of COVID-19 illness on metabolic phenotypes underlying type 2 diabetes mellitus: a systematic review

We aimed to systematically review literature investigating the impact of COVID-19 on insulin resistance and beta-cell dysfunction in humans. Ovid MEDLINE and Embase were searched for studies published between December 2019 and May 2024. Observational studies examining adults with no history of type 2 diabetes comparing the development of insulin resistance and beta-cell dysfunction between COVID-19 exposed groups vs. controls were included. Risk of bias was assessed using adapted Newcastle-Ottawa and Joanna Briggs Institute scales. Among 6901 studies screened, 10 met the inclusion criteria. Across these studies, 37 individual measures of insulin resistance and beta-cell dysfunction were reported. Insulin resistance worsened significantly in 16 of 25 (64.0%) comparisons, whereas beta-cell dysfunction worsened significantly in 7 of 12 (58.3%) measures among COVID-19 patients when compared to controls. Five studies were considered low risk of bias. COVID-19 was associated with worsened insulin resistance and beta-cell dysfunction, suggesting infection may be a metabolic stressor that overwhelms gluco-regulatory mechanisms. Results, especially those for beta-cell function, should be interpreted cautiously given methodological limitations in the utilized measures. These findings highlight the pathophysiological aspects of type-2 diabetes impacted by COVID-19 infection and support the development of targeted monitoring and therapeutic strategies.

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Publication Details

Journal
Diabetes Research and Clinical Practice
Published
2026-02-26
DOI
https://doi.org/10.1016/j.diabres.2026.113163
Primary Topic
COVID-19 Clinical Research Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

The impact of COVID-19 illness on metabolic phenotypes underlying type 2 diabetes mellitus: a systematic review

S. B Harris, Ji-Eun Chon, M. Li, Nagam Anna Yehia et al.
Diabetes Research and Clinical Practice
COVID-19 Clinical Research Studies
article

The impact of COVID-19 illness on metabolic phenotypes underlying type 2 diabetes mellitus: a systematic review

S. B Harris, Ji-Eun Chon, M. Li, Nagam Anna Yehia, A. Bryan Hanley, Ravi Retnakaran, Kaylem Sharma
article en

Abstract

We aimed to systematically review literature investigating the impact of COVID-19 on insulin resistance and beta-cell dysfunction in humans. Ovid MEDLINE and Embase were searched for studies published between December 2019 and May 2024. Observational studies examining adults with no history of type 2 diabetes comparing the development of insulin resistance and beta-cell dysfunction between COVID-19 exposed groups vs. controls were included. Risk of bias was assessed using adapted Newcastle-Ottawa and Joanna Briggs Institute scales. Among 6901 studies screened, 10 met the inclusion criteria. Across these studies, 37 individual measures of insulin resistance and beta-cell dysfunction were reported. Insulin resistance worsened significantly in 16 of 25 (64.0%) comparisons, whereas beta-cell dysfunction worsened significantly in 7 of 12 (58.3%) measures among COVID-19 patients when compared to controls. Five studies were considered low risk of bias. COVID-19 was associated with worsened insulin resistance and beta-cell dysfunction, suggesting infection may be a metabolic stressor that overwhelms gluco-regulatory mechanisms. Results, especially those for beta-cell function, should be interpreted cautiously given methodological limitations in the utilized measures. These findings highlight the pathophysiological aspects of type-2 diabetes impacted by COVID-19 infection and support the development of targeted monitoring and therapeutic strategies.

Diabetes Research and Clinical PracticeVol. 235
Western University (CA), Mount Sinai Hospital (CA), Lunenfeld-Tanenbaum Research Institute (CA), Canada Research Chairs (CA)
Diabetes Canada, University of Toronto, Canadian Institutes of Health Research
Openalex Percentile: Top 42%
COVID-19 Clinical Research Studies
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