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Mendelian Randomization Analyses Accounting for Causal Effect of COVID-19 on Brain Imaging-Derived Phenotypes.
Lu, Jiajie; Huang, Rihong; Peng, Yuecheng; Zhang, Jinming; Liang, Kairong; Wang, Yezhong; Feng, Yi; Wang, Zhaotao.
Afiliação
  • Lu J; Institute of Neuroscience, Department of Neurosurgery, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
  • Huang R; Department of Clinical Medicine, The Second Clinical School of Guangzhou Medical University, Guangzhou, China.
  • Peng Y; Institute of Neuroscience, Department of Neurosurgery, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
  • Zhang J; Department of Clinical Medicine, The Second Clinical School of Guangzhou Medical University, Guangzhou, China.
  • Liang K; Institute of Neuroscience, Department of Neurosurgery, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
  • Wang Y; Department of Clinical Medicine, The Second Clinical School of Guangzhou Medical University, Guangzhou, China.
  • Feng Y; Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Wang Z; Institute of Neuroscience, Department of Neurosurgery, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
J Alzheimers Dis ; 96(3): 1059-1070, 2023.
Article em En | MEDLINE | ID: mdl-37955088
ABSTRACT

BACKGROUND:

The coronavirus disease 2019 (COVID-19) has been a major challenge to global health and a financial burden. Little is known regarding the possible causal effects of COVID-19 on the macro- and micro-structures of the human brain.

OBJECTIVE:

To determine the causal links between susceptibility, hospitalization, and the severity of COVID-19 and brain imaging-derived phenotypes (IDPs).

METHODS:

Mendelian randomization (MR) analyses were performed to investigate the causal effect of three COVID-19 exposures (SARS-CoV-2 infection, hospitalized COVID-19, and critical COVID-19) on brain structure employing summary datasets of genome-wide association studies.

RESULTS:

In terms of cortical phenotypes, hospitalization due to COVID-19 was associated with a global decrease in the surface area (SA) of the cortex structure (ß= -624.77, 95% CI -1227.88 to -21.66, p = 0.042). At the regional level, SARS-CoV-2 infection was found to have a nominally causal effect on the thickness (TH) of the postcentral region (ß= -0.004, 95% CI -0.007 to -0.001, p = 0.01), as well as eight other IDPs. Hospitalized COVID-19 has a nominally causal relationship with TH of postcentral (ß= -0.004, 95% CI -0.007 to -0.001, p = 0.01) and other 6 IDPs. The nominally causal effects of critical COVID-19 on TH of medial orbitofrontal (ß=0.004, 95% CI 0.001to 0.007, p = 0.004) and other 7 IDPs were revealed.

CONCLUSIONS:

Our study provides compelling genetic evidence supporting causal relationships between three COVID-19 traits and brain IDPs. This discovery holds promise for enhancing predictions and interventions in brain imaging.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Estudo de Associação Genômica Ampla / COVID-19 Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Estudo de Associação Genômica Ampla / COVID-19 Idioma: En Ano de publicação: 2023 Tipo de documento: Article