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Biomarkers Associated With Severe COVID-19 Among Populations With High Cardiometabolic Risk: A 2-Sample Mendelian Randomization Study
IMPORTANCE: Cardiometabolic 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. OBJECTIVE: To identify protein biomarkers that promote or reduce COVID-19 severity...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10375306/ https://www.ncbi.nlm.nih.gov/pubmed/37498601 http://dx.doi.org/10.1001/jamanetworkopen.2023.25914 |
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author | Sood, Tushar Perrot, Nicolas Chong, Michael Mohammadi-Shemirani, Pedrum Mushtaha, Maha Leong, Darryl Rangarajan, Sumathy Hess, Sibylle Yusuf, Salim Gerstein, Hertzel C. Paré, Guillaume Pigeyre, Marie |
author_facet | Sood, Tushar Perrot, Nicolas Chong, Michael Mohammadi-Shemirani, Pedrum Mushtaha, Maha Leong, Darryl Rangarajan, Sumathy Hess, Sibylle Yusuf, Salim Gerstein, Hertzel C. Paré, Guillaume Pigeyre, Marie |
author_sort | Sood, Tushar |
collection | PubMed |
description | IMPORTANCE: Cardiometabolic 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. OBJECTIVE: To 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 PARTICIPANTS: This 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. EXPOSURES: Genetically determined concentrations of 235 circulating proteins assayed with a multiplex biomarker panel from the ORIGIN trial for the initial analysis. MAIN OUTCOMES AND MEASURES: Hospitalization status of individuals from the COVID-19 Host Genetics Initiative with a positive COVID-19 test result. RESULTS: Among 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/m(2) [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/m(2), 1.23 [95% CI, 1.06-1.43]). CONCLUSIONS AND RELEVANCE: In 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. |
format | Online Article Text |
id | pubmed-10375306 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Medical Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-103753062023-07-29 Biomarkers Associated With Severe COVID-19 Among Populations With High Cardiometabolic Risk: A 2-Sample Mendelian Randomization Study Sood, Tushar Perrot, Nicolas Chong, Michael Mohammadi-Shemirani, Pedrum Mushtaha, Maha Leong, Darryl Rangarajan, Sumathy Hess, Sibylle Yusuf, Salim Gerstein, Hertzel C. Paré, Guillaume Pigeyre, Marie JAMA Netw Open Original Investigation IMPORTANCE: Cardiometabolic 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. OBJECTIVE: To 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 PARTICIPANTS: This 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. EXPOSURES: Genetically determined concentrations of 235 circulating proteins assayed with a multiplex biomarker panel from the ORIGIN trial for the initial analysis. MAIN OUTCOMES AND MEASURES: Hospitalization status of individuals from the COVID-19 Host Genetics Initiative with a positive COVID-19 test result. RESULTS: Among 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/m(2) [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/m(2), 1.23 [95% CI, 1.06-1.43]). CONCLUSIONS AND RELEVANCE: In 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. American Medical Association 2023-07-27 /pmc/articles/PMC10375306/ /pubmed/37498601 http://dx.doi.org/10.1001/jamanetworkopen.2023.25914 Text en Copyright 2023 Sood T et al. JAMA Network Open. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License. |
spellingShingle | Original Investigation Sood, Tushar Perrot, Nicolas Chong, Michael Mohammadi-Shemirani, Pedrum Mushtaha, Maha Leong, Darryl Rangarajan, Sumathy Hess, Sibylle Yusuf, Salim Gerstein, Hertzel C. Paré, Guillaume Pigeyre, Marie Biomarkers Associated With Severe COVID-19 Among Populations With High Cardiometabolic Risk: A 2-Sample Mendelian Randomization Study |
title | Biomarkers Associated With Severe COVID-19 Among Populations With High Cardiometabolic Risk: A 2-Sample Mendelian Randomization Study |
title_full | Biomarkers Associated With Severe COVID-19 Among Populations With High Cardiometabolic Risk: A 2-Sample Mendelian Randomization Study |
title_fullStr | Biomarkers Associated With Severe COVID-19 Among Populations With High Cardiometabolic Risk: A 2-Sample Mendelian Randomization Study |
title_full_unstemmed | Biomarkers Associated With Severe COVID-19 Among Populations With High Cardiometabolic Risk: A 2-Sample Mendelian Randomization Study |
title_short | Biomarkers Associated With Severe COVID-19 Among Populations With High Cardiometabolic Risk: A 2-Sample Mendelian Randomization Study |
title_sort | biomarkers associated with severe covid-19 among populations with high cardiometabolic risk: a 2-sample mendelian randomization study |
topic | Original Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10375306/ https://www.ncbi.nlm.nih.gov/pubmed/37498601 http://dx.doi.org/10.1001/jamanetworkopen.2023.25914 |
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