Evidence map›Paper›PMID 37925898›Full record

SynthesisJournal of the neurological sciences2023

Causal association of COVID-19 with brain structure changes: Findings from a non-overlapping 2-sample Mendelian randomization study.

Pingjian Ding, Rong Xu

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal of the neurological sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Pingjian DingCenter For Artificial Intelligence in Drug Discovery, Robbins Building Room 302A, School of Medicine, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, United States of America. Electronic address: pxd210@case.edu.
Rong XuCenter For Artificial Intelligence in Drug Discovery, Sears Tower T304, School of Medicine, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, United States of America. Electronic address: rxx@case.edu.
Case Western Reserve University · US

Funding

Combine computational prediction, network analysis and genetic screening in C elegans to uncover neurodegenerative causes in Alzheimer's DiseaseR01AG061388 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI CHEN, SHU G., XU, RONG · 2018 to 2022
$3.4M
An Integrated Reverse Engineering Approach Toward Rapid drug Re positioning for Alzheimer's DiseaseR01AG057557 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI XU, RONG · 2017 to 2021
$2.8M
Rapid reverse translational drug repositioningDP2HD084068 · NICHD · CASE WESTERN RESERVE UNIVERSITY · PI XU, RONG · 2014 to 2014
$2.4M
Collision of Alzheimers disease and COVID-19 pandemic in the United States: risks, outcomes, disparities and treatmentsRF1AG076649 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI DAVIS, PAMELA B, XU, RONG · 2022 to 2022
$2.3M
Construct large-scale phenomes of disease and drugs and develop data-driven systems approaches to understand genetic links between Alzheimer's disease and Neuropsychiatric symptomsR56AG062272 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI XU, RONG · 2018 to 2019
$1.6M
Collision of Alzheimers disease and COVID-19 pandemic in the United States: risks, outcomes, disparities and treatmentsR01AG076649 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI Rong Xu · 2025 to 2026
$1.6M
Characterize multifaceted interactions between COVID-19 and alcohol use disorder based on real-time analysis of electronic health records of 62 million adult patientsR01AA029831 · NIAAA · CASE WESTERN RESERVE UNIVERSITY · PI DAVIS, PAMELA B, XU, RONG · 2021 to 2023
$1.1M
NIAAA NIH HHS R01 AA029831NIA NIH HHS R01 AG057557NIA NIH HHS R01 AG061388NIA NIH HHS R01 AG076649NIA NIH HHS R56 AG062272NIA NIH HHS RF1 AG076649NICHD NIH HHS DP2 HD084068
6 · The paper itself

Abstract

Recent cohort studies suggested that SARS-CoV-2 infection is associated with changes in brain structure. However, the potential causal relationship remains unclear. We performed a two-sample Mendelian randomization analysis to determine whether genetic susceptibility of COVID-19 is causally associated with changes in cortical and subcortical areas of the brain. This 2-sample MR (Mendelian Randomization) study is an instrumental variable analysis of data from the COVID-19 Host Genetics Initiative (HGI) meta-analyses round 5 excluding UK Biobank participants (COVID-19 infection, N = 1,348,701; COVID-19 severity, N = 1,557,411), the Enhancing NeuroImaging Genetics through Meta Analysis (ENIGMA) Global and regional cortical measures, N = 33,709; combined hemispheric subcortical volumes, N = 38,851), and UK Biobank (left/right subcortical volumes, N = 19,629). A replication analysis was performed on summary statistics from different COVID-19 GWAS study (COVID-19 infection, N = 80,932; COVID-19 severity, N = 72,733). We found that the genetic susceptibility of COVID-19 was not significantly associated with changes in brain structures, including cortical and subcortical brain structure. Similar results were observed for different (1) MR estimates, (2) COVID-19 GWAS summary statistics, and (3) definitions of COVID-19 infection and severity. This study suggests that the genetic susceptibility of COVID-19 is not causally associated with changes in cortical and subcortical brain structure.

Indexed as

COVID-19BrainGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisSARS-CoV-2Brain structureCortical areaCOVID-19Mendelian randomizationSubcortical area

Identifiers

PMID37925898
PMCPMC10872398
OpenAlexW4388049769

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.