Evidence map›Paper›PMID 40085281›Full record

ArticleDiscover oncology2025

Causal effect between circulating metabolic markers and glioma: a bidirectional, two-sample, Bayesian weighted Mendelian randomization.

Jiachen Wang, Chengzhuo Wang, Shenglan Li, Mengqian Huang, Rong Zhang, Yuxiao Chen, Zhuang Kang, Wenbin Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Environmental Hazards and Glial Brain Tumors: Association or Causation?International journal of molecular sciences · 2025
    Review
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.

Jiachen WangDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, No.119, West Nan Si Huan Road, Fengtai District, Beijing, 100071, China.
Chengzhuo WangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100071, China.
Shenglan LiDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, No.119, West Nan Si Huan Road, Fengtai District, Beijing, 100071, China.
Mengqian HuangDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, No.119, West Nan Si Huan Road, Fengtai District, Beijing, 100071, China.
Rong ZhangDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, No.119, West Nan Si Huan Road, Fengtai District, Beijing, 100071, China.
Yuxiao ChenDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, No.119, West Nan Si Huan Road, Fengtai District, Beijing, 100071, China.
Zhuang KangDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, No.119, West Nan Si Huan Road, Fengtai District, Beijing, 100071, China.
Wenbin LiDepartment of Neuro-Oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, No.119, West Nan Si Huan Road, Fengtai District, Beijing, 100071, China. liwenbin@ccmu.edu.cn.

Funding

the Beijing Clinical Key Specialty Project 2-1-2-038Training Fund for Open Projects at Talent Introduction Fund of Beijing Tiantan Hospital RCYJ-2020-2025-LWB
6 · The paper itself

Abstract

Glioma is the most common malignant tumor in the central nervous system with significant challenges for its treatment and prognosis. Based on publicly available genome-wide association study data, this study employed a bidirectional, two-sample Mendelian randomization (MR) analysis, combined with Bayesian weighted MR, to investigate the causal effect of 233 circulating metabolic traits on glioma and its subtypes, with the expectation of discovering new diagnostic and therapeutic targets. The MR study revealed that the Total cholesterol to total lipids ratio in large VLDL and the Ratio of polyunsaturated fatty acids to total fatty acids (PUFAbyFA) are risk factors for glioma, while free cholesterol or phospholipids in small HDL are protective against glioma. The free cholesterol to total lipids ratio in IDL, the ratios of total cholesterol or cholesteryl esters to total lipids in small or medium VLDL, as well as linoleic acid (LA 18:2), phosphatidylcholine, and sphingomyelins levels are risk factors for non-GBM glioma. Free cholesterol in small HDL is identified as a protective factor for non-GBM glioma. The results were robust to sensitivity analyses and Bayesian weighted mendelian randomization. The causal effects of glioma on circulating metabolites were explored through reverse mendelian randomization. The results provide potential biomarkers for the early diagnosis and treatment of glioma.

Identifiers

PMID40085281
PMCPMC11909308

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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.