Evidence map›Paper›PMID 36737740›Full record

ArticleBMC medicine2023

Associations of the circulating levels of cytokines with risk of amyotrophic lateral sclerosis: a Mendelian randomization study.

Bin Liu, Linshuoshuo Lyu, Wenkai Zhou, Jie Song, Ding Ye, Yingying Mao, Guo-Bo Chen, Xiaohui Sun

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 3 pooled it
12.6field-weighted citation impact, top 1% 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

33 citing papers in PubMed, 3 syntheses or guidelines pooled it, 59 citations in OpenAlex.

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  18. Sex hormones and neuromyelitis optica spectrum disorder: a bidirectional Mendelian randomization study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
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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

8 authors at 2 institutions in 1 country.

Bin LiuDepartment of Epidemiology, Zhejiang Chinese Medical University School of Public Health, Hangzhou, 310053, China.
Linshuoshuo LyuDepartment of Epidemiology, Zhejiang Chinese Medical University School of Public Health, Hangzhou, 310053, China.
Wenkai ZhouDepartment of Epidemiology, Zhejiang Chinese Medical University School of Public Health, Hangzhou, 310053, China.
Jie SongDepartment of Epidemiology, Zhejiang Chinese Medical University School of Public Health, Hangzhou, 310053, China.
Ding YeDepartment of Epidemiology, Zhejiang Chinese Medical University School of Public Health, Hangzhou, 310053, China.
Yingying MaoDepartment of Epidemiology, Zhejiang Chinese Medical University School of Public Health, Hangzhou, 310053, China.
Guo-Bo ChenCenter for General Practice Medicine, Department of General Practice Medicine, Clinical Research Institute, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang, China. chenguobo@gmail.com.ORCID 0000-0001-5475-8237
Xiaohui SunDepartment of Epidemiology, Zhejiang Chinese Medical University School of Public Health, Hangzhou, 310053, China. 20191030@zcmu.edu.cn.
Zhejiang Chinese Medical University · CNZhejiang Provincial People's Hospital · CN

Funding

National Natural Science Foundation of China 82174208Natural Science Foundation of Zhejiang Province LY22H260005
6 · The paper itself

Abstract

backgroundAmyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder that is accompanied by muscle weakness and muscle atrophy, typically resulting in death within 3-5 years from the disease occurrence. Though the cause of ALS remains unclear, increasing evidence has suggested that inflammation is involved in the pathogenesis of ALS. Thus, we performed two-sample Mendelian randomization (MR) analyses to estimate the associations of circulating levels of cytokines and growth factors with the risk of ALS.

methodsGenetic instrumental variables for circulating cytokines and growth factors were identified from a genome-wide association study (GWAS) of 8293 European participants. Summary statistics of ALS were obtained from a GWAS including 20,806 ALS cases and 59,804 controls of European ancestry. We used the inverse-variance weighted (IVW) method as the primary analysis. To test the robustness of our results, we further performed the simple-median method, weighted-median method, MR-Egger regression, and MR pleiotropy residual sum and outlier test. Finally, a reverse MR analysis was performed to assess the possibility of reverse causation between ALS and the cytokines that we identified.

resultsAfter Bonferroni correction, genetically predicted circulating level of basic fibroblast growth factor (FGF-basic) was suggestively associated with a lower risk of ALS [odds ratio (OR): 0.74, 95% confidence interval (95% CI): 0.60-0.92, P = 0.007]. We also observed suggestive evidence that interferon gamma-induced protein 10 (IP-10) was associated with a 10% higher risk of ALS (OR: 1.10, 95% CI: 1.03-1.17, P = 0.005) in the primary study. The results of sensitivity analyses were consistent.

conclusionsOur systematic MR analyses provided suggestive evidence to support causal associations of circulating FGF-basic and IP-10 with the risk of ALS. More studies are warranted to explore how these cytokines may affect the development of ALS.

Indexed as

Amyotrophic Lateral SclerosisCytokinesChemokine CXCL10Genome-Wide Association StudyHumansMendelian Randomization AnalysisPolymorphism, Single NucleotideChemokine CXCL10CytokinesAmyotrophic lateral sclerosisCytokineGenome-wide association studyMendelian randomizationSingle nucleotide polymorphisms

Identifiers

PMID36737740
PMCPMC9898905
OpenAlexW4319078008

What OpenQuestion holds

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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.