Evidence map›Paper›PMID 39526130›Full record

ArticleImmunoTargets and therapy2024

Causality Between 91 Circulating Inflammatory Proteins and Various Asthma Phenotypes: A Mendelian Randomization Study.

Shiyao Zhang, Xiuying Zhang, Chenghao Wei, Lai Zhang, Zhaoyang Li

Abstract read
In one paragraph

Article in ImmunoTargets and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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

5 authors.

Shiyao ZhangLiaoning University of Traditional Chinese Medicine, Shenyang, 110847, People's Republic of China.ORCID 0009-0008-5416-1973
Xiuying ZhangThe First Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Shenyang, 110032, People's Republic of China.
Chenghao WeiLiaoning University of Traditional Chinese Medicine, Shenyang, 110847, People's Republic of China.
Lai ZhangLiaoning University of Traditional Chinese Medicine, Shenyang, 110847, People's Republic of China.ORCID 0009-0000-8906-4366
Zhaoyang LiLiaoning University of Traditional Chinese Medicine, Shenyang, 110847, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the causal relationship between 91 circulating inflammatory proteins and Various asthma phenotypes by means of Mendelian randomization. Methods: Genome-wide association Studies (GWAS) of 91 inflammatory proteins were pooled from the Olink Target platform with 14,824 participants. Various asthma phenotypes were derived from the FinnGen Biobank. Inverse variance weighting (IVW) was used as the main method for MR Analysis, supplemented by Mr-Egger, Weighted median, Simple mode, and Weighted mode. The MR-Egger intercept term test and Cochran's Q test were used to test the polymorphism and heterogeneity of IVs, and visual analysis was carried out to draw scatter plots, funnel plots, and leave-out-one plots. The FDR correction was performed due to the possibility of a type 1 error. Results: Genetically predicted IVW results revealed a total of 30 data sets suggesting a potential causal relationship between circulating inflammatory proteins and asthma phenotypes. Among them, 2 results were still strongly positive after FDR correction. The level of CST5 (OR=1.184; 95% CI: 1.075-1.305; P=0.0001; P-FDR=0.028) is associated with an increased risk of non-allergic asthma. LIF-R (OR=0.723; 95% CI: 0.620-0.842; P=0.000; P-FDR=0.003) is associated with a reduced risk of asthma in children. There was no pleiotropy or heterogeneity in the remaining 16 results that suggested a potential causal relationship. Conclusion: Increased CST5 levels are associated with an increased risk of non-allergic asthma. LIF-R is associated with a reduced risk of asthma in children.

Indexed as

allergic asthmaasthmachildhood asthmainflammatory proteinmendelian randomizationnon-allergic asthmaobesity related asthmasuggestive for eosinophilic asthma

Identifiers

PMID39526130
PMCPMC11546284

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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.