SARS-CoV-2 infection in patients with neuroimmunological disorders in a tertiary referral centre from the north of Portugal

Moura, João; Nascimento, Henrique; Ferreira, Inês; Samões, Raquel; Teixeira, Catarina; Lopes, Diana; Boleixa, Daniela; Sousa, Ana Paula; Santos, Ernestina; Silva, Ana Martins

doi:10.1016/j.msard.2022.103893

Cited by 1 publication

(1 citation statement)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some evidence does not elucidate whether the higher hospitalization and mortality rates are due to multi‐organ failure, COVID‐19, exacerbation of autoimmune dysfunction, or exacerbated MG treatments (Galassi, 2022 ). It cannot be completely ruled out that MG may lead to severe COVID‐19 and subsequently increase the risk of hospitalization and mortality (Moura et al., 2022 ). It is important to note that certain studies have included MG populations comprising both AchR and MuSK antibody‐positive patients (Doron et al., 2022 ; Peric et al., 2023 ; Thomas et al., 2023 ).…”

Section: Discussionmentioning

confidence: 99%

Association between COVID‐19 and myasthenia gravis (MG): A genetic correlation and Mendelian randomization study

Sun,

Tu,

Wang

et al. 2023

Brain and Behavior

View full text Add to dashboard Cite

Background:Observational studies have suggested an association between coronavirus disease 2019 (COVID‐19) and myasthenia gravis (MG). Here, we aimed to estimate the genetic correlation and causal relationship between COVID‐19 susceptibility, hospitalization, severity, and MG phenotypes using linkage disequilibrium score regression (LDSC) and Mendelian randomization (MR) approach.MethodsSummary statistics of COVID‐19 susceptibility, hospitalization, and severity were used as instrumental variables for exposure traits. Large‐scale genome‐wide association study (GWAS) data for MG were used as outcome traits. The inverse variance weighted approach was used for the main MR analysis, complemented by MR‐Egger, weighted median, simple mode, and weighted mode methods. Sensitivity analysis was implemented using Cochran's Q test, MR‐PRESSO method, and MR‐Egger intercept test.ResultsLDSC analysis did not reveal any genetic correlation among COVID‐19 susceptibility, hospitalization, severity, and MG phenotypes, including MG, early‐onset MG, and late‐onset MG (p > .05). Our MR analysis did not provide evidence supporting a causal effect of COVID‐19 susceptibility, hospitalization, or severity on MG phenotypes (p > .05). Extensive sensitivity analysis strengthened the robustness and consistency of the MR estimates.ConclusionOur study did not find evidence of a genetic correlation or causal relationship among COVID‐19 susceptibility, hospitalization, severity, and MG. Future studies with more GWAS data are needed to evaluate the association between COVID‐19 phenotypes and MG and its subgroups.

show abstract