Evidence map›Paper›PMID 39251963›Full record

ArticleBMC cancer2024

The causal relationship between CSF metabolites and GBM: a two-sample mendelian randomization analysis.

Haijun Bao, Yiyang Chen, Zijun Meng, Zheng Chu

Abstract read
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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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

4 authors.

Haijun BaoDepartment of Forensic Medicine, First College for Clinical Medicine, Xuzhou Medical University, 84 West Huaihai Rd, Xuzhou, Jiangsu, 221000, China.
Yiyang ChenDepartment of Forensic Medicine, First College for Clinical Medicine, Xuzhou Medical University, 84 West Huaihai Rd, Xuzhou, Jiangsu, 221000, China.
Zijun MengDepartment of Forensic Medicine, First College for Clinical Medicine, Xuzhou Medical University, 84 West Huaihai Rd, Xuzhou, Jiangsu, 221000, China.
Zheng ChuDepartment of Forensic Medicine, First College for Clinical Medicine, Xuzhou Medical University, 84 West Huaihai Rd, Xuzhou, Jiangsu, 221000, China. chuzheng@xzhmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlioblastoma multiforme (GBM) is a highly aggressive primary malignant brain tumor characterized by rapid progression, poor prognosis, and high mortality rates. Understanding the relationship between cerebrospinal fluid (CSF) metabolites and GBM is crucial for identifying potential biomarkers and pathways involved in the pathogenesis of this devastating disease.

methodsIn this study, Mendelian randomization (MR) analysis was employed to investigate the causal relationship between 338 CSF metabolites and GBM. The data for metabolites were obtained from a genome-wide association study summary dataset based on 291 individuals, and the GBM data was derived from FinnGen included 91 cases and 174,006 controls of European descent. The Inverse Variance Weighted method was utilized to estimate the causal effects. Supplementary comprehensive assessments of causal effects between CSF metabolites and GBM were conducted using MR-Egger regression, Weighted Median, Simple Mode, and Weighted Mode methods. Additionally, tests for heterogeneity and pleiotropy were performed.

resultsThrough MR analysis, a total of 12 identified metabolites and 2 with unknown chemical properties were found to have a causal relationship with GBM. 1-palmitoyl-2-stearoyl-gpc (16:0/18:0), 7-alpha-hydroxy-3-oxo-4-cholestenoate, Alpha-tocopherol, Behenoyl sphingomyelin (d18:1/22:0), Cysteinylglycine, Maleate, Uracil, Valine, X-12,101, X-12,104 and Butyrate (4:0) are associated with an increased risk of GBM. N1-methylinosine, Stachydrine and Succinylcarnitine (c4-dc) are associated with decreased GBM risk.

conclusionIn conclusion, this study sheds light on the intricate interplay between CSF metabolites and GBM, offering novel perspectives on disease mechanisms and potential treatment avenues. By elucidating the role of CSF metabolites in GBM pathogenesis, this research contributes to the advancement of diagnostic capabilities and targeted therapeutic interventions for this aggressive brain tumor. Further exploration of these findings may lead to improved management strategies and better outcomes for patients with GBM.

Indexed as

Brain NeoplasmsGenome-Wide Association StudyGlioblastomaMendelian Randomization AnalysisBiomarkers, TumorHumansPolymorphism, Single NucleotideBiomarkers, TumorCerebrospinal fluidGBMMendelian randomizationMetabolite

Identifiers

PMID39251963
PMCPMC11382389

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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.