Evidence map›Paper›PMID 40873641›Full record

ArticleExploration (Beijing, China)2025

Deciphering the Potential Causal and Prognostic Relationships Between Gut Microbiota and Brain Tumors: Insights from Genetics Analysis and Machine Learning.

Changwu Wu, Fushu Luo, Yongye Zhu, Chunbo Liu, Zheng Chen, Xiangyu Wang, Jun Tan, Qing Liu

Abstract read
In one paragraph

Article in Exploration (Beijing, China), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

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

  1. Pooled it
  2. Gut microbes · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
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.

Changwu WuDepartment of Neurosurgery Xiangya Hospital Central South University Changsha Hunan China.ORCID https://orcid.org/0009-0003-3562-7786
Fushu LuoDepartment of Neurosurgery Xiangya Hospital Central South University Changsha Hunan China.
Yongye ZhuDepartment of Neurosurgery Xiangya Hospital Central South University Changsha Hunan China.
Chunbo LiuDepartment of Neurosurgery Xiangya Hospital Central South University Changsha Hunan China.
Zheng ChenDepartment of Neurosurgery Xiangya Hospital Central South University Changsha Hunan China.
Xiangyu WangDepartment of Neurosurgery Xiangya Hospital Central South University Changsha Hunan China.
Jun TanDepartment of Neurosurgery Xiangya Hospital Central South University Changsha Hunan China.
Qing LiuDepartment of Neurosurgery Xiangya Hospital Central South University Changsha Hunan China.ORCID https://orcid.org/0000-0003-1357-4866

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concept of the microbiota-gut-brain axis has witnessed significant advancements, and observational studies revealed dysbiosis in the gut microbiota of patients with brain tumors. The causal relationship between gut microbiota and brain tumors and the potential prognostic value of microbiota are still unclear. Based on multiple Mendelian randomization analyses, this study confirms the causal effects of four gut microbes on meningioma, seven gut microbes on pituitary tumor, and eight gut microbes on glioma. Based on the Sherlock framework, this study identifies 103 meningioma-related microbe-related genes (MRGs), 40 pituitary tumor-related MRGs, and 63 glioma-related MRGs expressed in brain tissues. Almost all glioma-related MRGs are associated with tumor grade and prognosis. Lastly, the prognostic model based on machine learning and microbiota established in this study, namely microbe-related signature (MRS), could robustly predict the prognosis of glioma and provide insights for immunotherapy benefits. This study presents evidence of the causal effects of gut microbes on brain tumors, which contributes to our understanding of the microbiota-gut-brain axis. The relationship between glioma-related MRGs and glioma prognosis, along with the prognostic prediction capacity of MRS and its association with immunotherapy, provides support for the use of gut microbiota as biomarkers to evaluate the prognosis and treatment response of glioma.

Indexed as

gliomagut microbiotamachine learningmendelian randomizationmeningiomaprognosis

Identifiers

PMID40873641
PMCPMC12380072

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.