Evidence map›Paper›PMID 37425011›Full record

ArticleFrontiers in neuroscience2023

Inflammatory factors and risk of meningiomas: a bidirectional mendelian-randomization study.

Zhiyun Zhang, Shengnan Wang, Fei Ren, Laiyu Yang, Haoqun Xie, Lin Pan, Yifan Li, Bingcheng Yu, Yifan Yang, Haoyi Su and 6 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 27 citations in OpenAlex.

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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

16 authors at 4 institutions in 1 country.

Zhiyun ZhangDepartment of Neurosurgery, The First Hospital of Jilin University, Changchun, China.
Shengnan WangDepartment of Neurology, The First Hospital of Jilin University, Changchun, China.
Fei RenThe Second Hospital of Jilin University, Changchun, Jilin, China.
Laiyu YangDepartment of Plastic and Reconstructive Surgery, The First Hospital of Jilin University, Changchun, China.
Haoqun XieThe Second Hospital of Jilin University, Changchun, Jilin, China.
Lin PanDepartment of Neurology, The First Hospital of Jilin University, Changchun, China.
Yifan LiZhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
Bingcheng YuZhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
Yifan YangThe Second Hospital of Jilin University, Changchun, Jilin, China.
Haoyi SuDepartment of Neurosurgery, The First Hospital of Jilin University, Changchun, China.
Youqi ChenDepartment of Neurosurgery, The First Hospital of Jilin University, Changchun, China.
Chuyi ZhangDepartment of Neurosurgery, The First Hospital of Jilin University, Changchun, China.
Hongyu ChenDepartment of Neurosurgery, Sun Yat-sen University Cancer Center, Guangzhou, China.
Wenzhuo YangDepartment of Neurosurgery, Sun Yat-sen University Cancer Center, Guangzhou, China.
Nan AnZhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
Yang BaiDepartment of Neurosurgery, The First Hospital of Jilin University, Changchun, China.
Jilin University · CNSun Yat-sen University · CNFirst Hospital of Jilin University · CNSecond Affiliated Hospital of Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Meningiomas are one of the most common intracranial tumors, and the current understanding of meningioma pathology is still incomplete. Inflammatory factors play an important role in the pathophysiology of meningioma, but the causal relationship between inflammatory factors and meningioma is still unclear. Method: Mendelian randomization (MR) is an effective statistical method for reducing bias based on whole genome sequencing data. It's a simple but powerful framework, that uses genetics to study aspects of human biology. Modern methods of MR make the process more robust by exploiting the many genetic variants that may exist for a given hypothesis. In this paper, MR is applied to understand the causal relationship between exposure and disease outcome. Results: This research presents a comprehensive MR study to study the association of genetic inflammatory cytokines with meningioma. Based on the results of our MR analysis, which examines 41 cytokines in the largest GWAS datasets available, we were able to draw the relatively more reliable conclusion that elevated levels of circulating TNF-β, CXCL1, and lower levels of IL-9 were suggestive associated with a higher risk of meningioma. Moreover, Meningiomas could cause lower levels of interleukin-16 and higher levels of CXCL10 in the blood. Conclusion: These findings suggest that TNF-β, CXCL1, and IL-9 play an important role in the development of meningiomas. Meningiomas also affect the expression of cytokines such as IL-16 and CXCL10. Further studies are needed to determine whether these biomarkers can be used to prevent or treat meningiomas.

Indexed as

cytokinesinflammationMendelian randomization (MR)meningiomarisk

Identifiers

PMID37425011
PMCPMC10325787
OpenAlexW4381855725

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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.