Evidence map›Paper›PMID 38300446›Full record

ArticleMolecular neurobiology2024

Association Between COVID-19 and Neurological Diseases: Evidence from Large-Scale Mendelian Randomization Analysis and Single-Cell RNA Sequencing Analysis.

Lin Huang, Yongheng Wang, Yijie He, Dongyu Huang, Tong Wen, Zhijie Han

Open access · hybridAbstract read
In one paragraph

Article in Molecular neurobiology, 2024. 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
1.8field-weighted citation impact, top 16% 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, 5 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Lin HuangDepartment of Bioinformatics, School of Basic Medicine, Chongqing Medical University, Chongqing, China.
Yongheng WangDepartment of Bioinformatics, School of Basic Medicine, Chongqing Medical University, Chongqing, China.
Yijie HeDepartment of Bioinformatics, School of Basic Medicine, Chongqing Medical University, Chongqing, China.
Dongyu HuangDepartment of Bioinformatics, School of Basic Medicine, Chongqing Medical University, Chongqing, China.
Tong WenDepartment of Bioinformatics, School of Basic Medicine, Chongqing Medical University, Chongqing, China.
Zhijie HanDepartment of Bioinformatics, School of Basic Medicine, Chongqing Medical University, Chongqing, China. zhijiehan@cqmu.edu.cn.ORCID http://orcid.org/0000-0001-7693-7375
Chongqing Medical University · CN

Funding

CQMU Program for Youth Innovation in Future Medicine, Chongqing Medical University Grant No. W0147National Natural Science Foundation of China Grant No. 32200446the Science and Technology Research Program of Chongqing Municipal Education Commission Grant No. KJQN202100402
6 · The paper itself

Abstract

Observational studies have suggested that SARS-CoV-2 infection increases the risk of neurological diseases, but it remains unclear whether the association is causal. The present study aims to evaluate the causal relationships between SARS-CoV-2 infections and neurological diseases and analyzes the potential routes of SARS-CoV-2 entry at the cellular level. We performed Mendelian randomization (MR) analysis with CAUSE method to investigate causal relationship of SARS-CoV-2 infections with neurological diseases. Then, we conducted single-cell RNA sequencing (scRNA-seq) analysis to obtain evidence of potential neuroinvasion routes by measuring SARS-CoV-2 receptor expression in specific cell subtypes. Fast gene set enrichment analysis (fGSEA) was further performed to assess the pathogenesis of related diseases. The results showed that the COVID-19 is causally associated with manic (delta_elpd, - 0.1300, Z-score: - 2.4; P = 0.0082) and epilepsy (delta_elpd: - 2.20, Z-score: - 1.80; P = 0.038). However, no significant effects were observed for COVID-19 on other traits. Moreover, there are 23 cell subtypes identified through the scRNA-seq transcriptomics data of epilepsy, and SARS-CoV-2 receptor TTYH2 was found to be specifically expressed in oligodendrocyte and astrocyte cell subtypes. Furthermore, fGSEA analysis showed that the cell subtypes with receptor-specific expression was related to methylation of lysine 27 on histone H3 (H3K27ME3), neuronal system, aging brain, neurogenesis, and neuron projection. In summary, this study shows causal links between SARS-CoV-2 infections and neurological disorders such as epilepsy and manic, supported by MR and scRNA-seq analysis. These results should be considered in further studies and public health measures on COVID-19 and neurological diseases.

Indexed as

COVID-19Mendelian Randomization AnalysisNervous System DiseasesSequence Analysis, RNASingle-Cell AnalysisBipolar DisorderEpilepsyHumansSARS-CoV-2COVID-19Mendelian randomizationNeurological diseasesSingle-cell RNA sequencing analysis

Identifiers

PMID38300446
PMCPMC11339101
OpenAlexW4391446559

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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 OpenQuestion graph.