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Causal effects of COVID-19 on structural changes in specific brain regions: a Mendelian randomization study

BACKGROUND: Previous studies have found a correlation between coronavirus disease 2019 (COVID-19) and changes in brain structure and cognitive function, but it remains unclear whether COVID-19 causes brain structural changes and which specific brain regions are affected. Herein, we conducted a Mende...

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Autores principales: Zhou, Shaojiong, Wei, Tao, Liu, Xiaoduo, Liu, Yufei, Song, Weiyi, Que, Xinwei, Xing, Yi, Wang, Zhibin, Tang, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10354891/
https://www.ncbi.nlm.nih.gov/pubmed/37468885
http://dx.doi.org/10.1186/s12916-023-02952-1
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author Zhou, Shaojiong
Wei, Tao
Liu, Xiaoduo
Liu, Yufei
Song, Weiyi
Que, Xinwei
Xing, Yi
Wang, Zhibin
Tang, Yi
author_facet Zhou, Shaojiong
Wei, Tao
Liu, Xiaoduo
Liu, Yufei
Song, Weiyi
Que, Xinwei
Xing, Yi
Wang, Zhibin
Tang, Yi
author_sort Zhou, Shaojiong
collection PubMed
description BACKGROUND: Previous studies have found a correlation between coronavirus disease 2019 (COVID-19) and changes in brain structure and cognitive function, but it remains unclear whether COVID-19 causes brain structural changes and which specific brain regions are affected. Herein, we conducted a Mendelian randomization (MR) study to investigate this causal relationship and to identify specific brain regions vulnerable to COVID-19. METHODS: Genome-wide association study (GWAS) data for COVID-19 phenotypes (28,900 COVID-19 cases and 3,251,161 controls) were selected as exposures, and GWAS data for brain structural traits (cortical thickness and surface area from 51,665 participants and volume of subcortical structures from 30,717 participants) were selected as outcomes. Inverse-variance weighted method was used as the main estimate method. The weighted median, MR-Egger, MR-PRESSO global test, and Cochran’s Q statistic were used to detect heterogeneity and pleiotropy. RESULTS: The genetically predicted COVID-19 infection phenotype was nominally associated with reduced cortical thickness in the caudal middle frontal gyrus (β = − 0.0044, p = 0.0412). The hospitalized COVID-19 phenotype was nominally associated with reduced cortical thickness in the lateral orbitofrontal gyrus (β = − 0.0049, p = 0.0328) and rostral middle frontal gyrus (β = − 0.0022, p = 0.0032) as well as with reduced cortical surface area of the middle temporal gyrus (β = − 10.8855, p = 0.0266). These causal relationships were also identified in the severe COVID-19 phenotype. Additionally, the severe COVID-19 phenotype was nominally associated with reduced cortical thickness in the cuneus (β = − 0.0024, p = 0.0168); reduced cortical surface area of the pericalcarine (β = − 2.6628, p = 0.0492), superior parietal gyrus (β = − 5.6310, p = 0.0408), and parahippocampal gyrus (β = − 0.1473, p = 0.0297); and reduced volume in the hippocampus (β = − 15.9130, p = 0.0024). CONCLUSIONS: Our study indicates a suggestively significant association between genetic predisposition to COVID-19 and atrophy in specific functional regions of the human brain. Patients with COVID-19 and cognitive impairment should be actively managed to alleviate neurocognitive symptoms and minimize long-term effects. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-023-02952-1.
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spelling pubmed-103548912023-07-20 Causal effects of COVID-19 on structural changes in specific brain regions: a Mendelian randomization study Zhou, Shaojiong Wei, Tao Liu, Xiaoduo Liu, Yufei Song, Weiyi Que, Xinwei Xing, Yi Wang, Zhibin Tang, Yi BMC Med Research Article BACKGROUND: Previous studies have found a correlation between coronavirus disease 2019 (COVID-19) and changes in brain structure and cognitive function, but it remains unclear whether COVID-19 causes brain structural changes and which specific brain regions are affected. Herein, we conducted a Mendelian randomization (MR) study to investigate this causal relationship and to identify specific brain regions vulnerable to COVID-19. METHODS: Genome-wide association study (GWAS) data for COVID-19 phenotypes (28,900 COVID-19 cases and 3,251,161 controls) were selected as exposures, and GWAS data for brain structural traits (cortical thickness and surface area from 51,665 participants and volume of subcortical structures from 30,717 participants) were selected as outcomes. Inverse-variance weighted method was used as the main estimate method. The weighted median, MR-Egger, MR-PRESSO global test, and Cochran’s Q statistic were used to detect heterogeneity and pleiotropy. RESULTS: The genetically predicted COVID-19 infection phenotype was nominally associated with reduced cortical thickness in the caudal middle frontal gyrus (β = − 0.0044, p = 0.0412). The hospitalized COVID-19 phenotype was nominally associated with reduced cortical thickness in the lateral orbitofrontal gyrus (β = − 0.0049, p = 0.0328) and rostral middle frontal gyrus (β = − 0.0022, p = 0.0032) as well as with reduced cortical surface area of the middle temporal gyrus (β = − 10.8855, p = 0.0266). These causal relationships were also identified in the severe COVID-19 phenotype. Additionally, the severe COVID-19 phenotype was nominally associated with reduced cortical thickness in the cuneus (β = − 0.0024, p = 0.0168); reduced cortical surface area of the pericalcarine (β = − 2.6628, p = 0.0492), superior parietal gyrus (β = − 5.6310, p = 0.0408), and parahippocampal gyrus (β = − 0.1473, p = 0.0297); and reduced volume in the hippocampus (β = − 15.9130, p = 0.0024). CONCLUSIONS: Our study indicates a suggestively significant association between genetic predisposition to COVID-19 and atrophy in specific functional regions of the human brain. Patients with COVID-19 and cognitive impairment should be actively managed to alleviate neurocognitive symptoms and minimize long-term effects. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-023-02952-1. BioMed Central 2023-07-19 /pmc/articles/PMC10354891/ /pubmed/37468885 http://dx.doi.org/10.1186/s12916-023-02952-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Zhou, Shaojiong
Wei, Tao
Liu, Xiaoduo
Liu, Yufei
Song, Weiyi
Que, Xinwei
Xing, Yi
Wang, Zhibin
Tang, Yi
Causal effects of COVID-19 on structural changes in specific brain regions: a Mendelian randomization study
title Causal effects of COVID-19 on structural changes in specific brain regions: a Mendelian randomization study
title_full Causal effects of COVID-19 on structural changes in specific brain regions: a Mendelian randomization study
title_fullStr Causal effects of COVID-19 on structural changes in specific brain regions: a Mendelian randomization study
title_full_unstemmed Causal effects of COVID-19 on structural changes in specific brain regions: a Mendelian randomization study
title_short Causal effects of COVID-19 on structural changes in specific brain regions: a Mendelian randomization study
title_sort causal effects of covid-19 on structural changes in specific brain regions: a mendelian randomization study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10354891/
https://www.ncbi.nlm.nih.gov/pubmed/37468885
http://dx.doi.org/10.1186/s12916-023-02952-1
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