Biomarkers Associated With Severe COVID-19 Among Populations With High Cardiometabolic Risk

Author:

Sood Tushar12,Perrot Nicolas134,Chong Michael134,Mohammadi-Shemirani Pedrum1345,Mushtaha Maha1,Leong Darryl16,Rangarajan Sumathy1,Hess Sibylle7,Yusuf Salim16,Gerstein Hertzel C.16,Paré Guillaume134,Pigeyre Marie16

Affiliation:

1. Population Health Research Institute, Hamilton, Ontario, Canada

2. Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada

3. Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada

4. Thrombosis and Atherosclerosis Research Institute, Hamilton, Ontario, Canada

5. Deep Genomics Inc, Toronto, Ontario, Canada

6. Department of Medicine, McMaster University, Hamilton, Ontario, Canada

7. Global Medical Diabetes, Sanofi, Frankfurt, Germany

Abstract

ImportanceCardiometabolic parameters are established risk factors for COVID-19 severity. The identification of causal or protective biomarkers for COVID-19 severity may facilitate the development of novel therapies.ObjectiveTo identify protein biomarkers that promote or reduce COVID-19 severity and that mediate the association of cardiometabolic risk factors with COVID-19 severity.Design, Setting, and ParticipantsThis genetic association study using 2-sample mendelian randomization (MR) was conducted in 2022 to investigate associations among cardiometabolic risk factors, circulating biomarkers, and COVID-19 hospitalization. Inputs for MR included genetic and proteomic data from 4147 participants with dysglycemia and cardiovascular risk factors collected through the Outcome Reduction With Initial Glargine Intervention (ORIGIN) trial. Genome-wide association study summary statistics were obtained from (1) 3 additional independent plasma proteome studies, (2) genetic consortia for selected cardiometabolic risk factors (including body mass index [BMI], type 2 diabetes, type 1 diabetes, and systolic blood pressure; all n >10 000), and (3) the COVID-19 Host Genetics Initiative (n = 5773 hospitalized and 15 497 nonhospitalized case participants with COVID-19). Data analysis was performed in July 2022.ExposuresGenetically determined concentrations of 235 circulating proteins assayed with a multiplex biomarker panel from the ORIGIN trial for the initial analysis.Main Outcomes and MeasuresHospitalization status of individuals from the COVID-19 Host Genetics Initiative with a positive COVID-19 test result.ResultsAmong 235 biomarkers tested in samples totaling 22 101 individuals, MR analysis showed that higher kidney injury molecule-1 (KIM-1) levels reduced the likelihood of COVID-19 hospitalization (odds ratio [OR] per SD increase in KIM-1 levels, 0.86 [95% CI, 0.79-0.93]). A meta-analysis validated the protective association with no observed directional pleiotropy (OR per SD increase in KIM-1 levels, 0.91 [95% CI, 0.88-0.95]). Of the cardiometabolic risk factors studied, only BMI was associated with KIM-1 levels (0.17 SD increase in biomarker level per 1 kg/m2 [95% CI, 0.08-0.26]) and COVID-19 hospitalization (OR per 1-SD biomarker level, 1.33 [95% CI, 1.18-1.50]). Multivariable MR analysis also revealed that KIM-1 partially mitigated the association of BMI with COVID-19 hospitalization, reducing it by 10 percentage points (OR adjusted for KIM-1 level per 1 kg/m2, 1.23 [95% CI, 1.06-1.43]).Conclusions and RelevanceIn this genetic association study, KIM-1 was identified as a potential mitigator of COVID-19 severity, possibly attenuating the increased risk of COVID-19 hospitalization among individuals with high BMI. Further studies are required to better understand the underlying biological mechanisms.

Publisher

American Medical Association (AMA)

Subject

General Medicine

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