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Updated: Dec 20, 2025

A High-Throughput Multiplexed Screening for Type 1 Diabetes, Celiac Diseases, and COVID-19
Published on: July 5, 2022
Diabetes and metabolic syndrome as risk factors for COVID-19
Marko Marhl1, Vladimir Grubelnik2, Marša Magdič3
1Faculty of Medicine, University of Maribor, SI-2000, Maribor, Slovenia; Faculty of Natural Sciences and Mathematics, University of Maribor, SI-2000, Maribor, Slovenia; Faculty of Education, University of Maribor, SI-2000, Maribor, Slovenia.
Insights
Patients with diabetes face higher Coronavirus disease 2019 (COVID-19) risks due to physiological factors. Key biomarkers like hypertension and inflammation predict severe COVID-19 outcomes in diabetic individuals.
Area of Science:
- Endocrinology
- Virology
- Immunology
Background:
- Clinical observations indicate increased Coronavirus disease 2019 (COVID-19) severity in patients with diabetes.
- Investigating the physiological underpinnings of this observed link is crucial for understanding disease progression.
Purpose of the Study:
- To explore the physiological pathways connecting diabetes and COVID-19 severity.
- To identify biomarkers predicting adverse outcomes in diabetic patients with COVID-19.
Main Methods:
- Publication mining of PubMed data from 2000-2020 to identify common research themes.
- Knowledge graph extraction to map interconnections between diabetes and COVID-19.
Main Results:
- Three pathophysiological pathways identified: Angiotensin-converting enzyme 2 dysregulation, liver dysfunction, and chronic systemic inflammation.
- Biomarkers predicting higher risk include hypertension, elevated alanine aminotransferase, high interleukin-6, and low lymphocyte count.
Conclusions:
- Identified biomarkers can aid clinical risk assessment for COVID-19 in diabetic and prediabetic patients.
- Checking medical history for chronic biomarker dysregulation is recommended for newly infected individuals.
Background And Aims:
Clinical evidence exists that patients with diabetes are at higher risk for Coronavirus disease 2019 (COVID-19). We investigated the physiological origins of this clinical observation linking diabetes with severity and adverse outcome of COVID-19.
Methods:
Publication mining was applied to reveal common physiological contexts in which diabetes and COVID-19 have been investigated simultaneously. Overall, we have acquired 1,121,078 publications from PubMed in the time span between 01-01-2000 and 17-04-2020, and extracted knowledge graphs interconnecting the topics related to diabetes and COVID-19.
Results:
The Data Mining revealed three pathophysiological pathways linking diabetes and COVID-19. The first pathway indicates a higher risk for COVID-19 because of a dysregulation of Angiotensin-converting enzyme 2. The other two important physiological links between diabetes and COVID-19 are liver dysfunction and chronic systemic inflammation. A deep network analysis has suggested clinical biomarkers predicting the higher risk: Hypertension, elevated serum Alanine aminotransferase, high Interleukin-6, and low Lymphocytes count.
Conclusions:
The revealed biomarkers can be applied directly in clinical practice. For newly infected patients, the medical history needs to be checked for evidence of a long-term, chronic dysregulation of these biomarkers. In particular, patients with diabetes, but also those with prediabetic state, deserve special attention.
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