Evidence map›Paper›PMID 38263182›Full record

SynthesisJournal of translational medicine2024

A systematic two-sample and bidirectional MR process highlights a unidirectional genetic causal effect of allergic diseases on COVID-19 infection/severity.

Xiao-Tong Chen, Shuai Zhi, Xin-Yu Han, Jian-Wei Jiang, Guang-Ming Liu, Shi-Tao Rao

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Observational
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 2 institutions in 2 countries.

Xiao-Tong Chen *Department of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, Institute of Precision Medicine, School of Medical Technology and Engineering, Fujian Medical University, No. 1 Xue-Yuan Rd., University Town, Fuzhou, 350122, Fujian, China.
Shuai Zhi *Department of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, Institute of Precision Medicine, School of Medical Technology and Engineering, Fujian Medical University, No. 1 Xue-Yuan Rd., University Town, Fuzhou, 350122, Fujian, China.
Xin-Yu HanXiamen Key Laboratory of Marine Functional Food, College of Ocean Food and Biological Engineering, Fujian Provincial Engineering Technology Research Center of Marine Functional Food, Jimei University, Xiamen, 361021, Fujian, China.
Jian-Wei JiangDepartment of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, Institute of Precision Medicine, School of Medical Technology and Engineering, Fujian Medical University, No. 1 Xue-Yuan Rd., University Town, Fuzhou, 350122, Fujian, China.
Guang-Ming LiuXiamen Key Laboratory of Marine Functional Food, College of Ocean Food and Biological Engineering, Fujian Provincial Engineering Technology Research Center of Marine Functional Food, Jimei University, Xiamen, 361021, Fujian, China. gmliu@jmu.edu.cn.
Shi-Tao RaoDepartment of Bioinformatics, Fujian Key Laboratory of Medical Bioinformatics, Institute of Precision Medicine, School of Medical Technology and Engineering, Fujian Medical University, No. 1 Xue-Yuan Rd., University Town, Fuzhou, 350122, Fujian, China. strao@fjmu.edu.cn.ORCID 0000-0002-3604-4684
Fujian Medical University · CNJimei University · CN

Funding

Fujian Province Joint Innovation Project 2021Y9030Fujian Provincial Natural Science Foundation Youth Innovation Project 2021J05050National Natural Scientific Foundation of China 31871720National Natural Scientific Foundation of China 32072336Research start-up funds for high-level talents from Fujian Medical University XRCZX2021009
6 · The paper itself

Abstract

backgroundAllergic diseases (ADs) such as asthma are presumed risk factors for COVID-19 infection. However, recent observational studies suggest that the assumed correlation contradicts each other. We therefore systematically investigated the genetic causal correlations between various ADs and COVID-19 infection/severity.

methodsWe performed a two-sample, bidirectional Mendelian randomization (MR) study for five types of ADs and the latest round of COVID-19 GWAS meta-analysis datasets (critically ill, hospitalized, and infection cases). We also further validated the significant causal correlations and elucidated the potential underlying molecular mechanisms.

resultsWith the most suitable MR method, asthma consistently demonstrated causal protective effects on critically ill and hospitalized COVID-19 cases (OR < 0.93, p < 2.01 × 10

conclusionsOur systematic and bidirectional MR analyses suggest a unidirectional causal effect of various ADs, particularly of asthma on COVID-19 infection/severity, but the reverse is not true. The potential underlying molecular mechanisms of the causal effects call for more attention to clinical monitoring of hematological cells/traits and may be beneficial in developing effective therapeutic strategies for allergic patients following infection with COVID-19.

Indexed as

AsthmaCOVID-19HypersensitivityCD8-Positive T-LymphocytesCritical IllnessHumansAllergic diseasesAsthmaCOVID-19 infection/severityGWAS summary statisticsHematological traitsImmune-related cellsMendelian randomizationMolecular mechanism

Identifiers

PMID38263182
PMCPMC10804553
OpenAlexW4391145291

What Socratic holds

Textmetadata
LicenceCC BY
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.