Evidence map›Paper›PMID 38694896›Full record

ArticleFrontiers in neuroscience2024

Multiple reports on the causal relationship between various chronic pain and gut microbiota: a two-sample Mendelian randomization study.

Yuxin Cai, Shuyang Wen, Jinjing Hu, Ziyi Wang, Guozhi Huang, Qing Zeng, Jihua Zou

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

7 authors.

Yuxin CaiDepartment of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Shuyang WenDepartment of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Jinjing HuDepartment of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Ziyi WangThe First School of Clinical Medicine, Southern Medical University, Guangzhou, China.
Guozhi HuangDepartment of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Qing ZengDepartment of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Jihua ZouDepartment of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous evidence suggests a link between gut microbiota and chronic pain, but the causal relationship is not yet fully understood. Methods: We categorized gut microbiota based on phylum, class, order, family, and genus levels and gathered pain-related information from the UKB and FinnGen GWAS project. Then, we conducted MR analysis to explore the potential causal relationship between gut microbiota and chronic pain at 12 specific locations. Results: We have discovered a direct connection between genetic susceptibility in the gut microbiota (gut metabolites) and pain experienced at 12 specific locations. Notably, Serotonin (5-HT) and Glycine were found to be associated with a higher risk of pain in the extremities. On the other hand, certain microbial families and orders were found to have a protective effect against migraines. Specifically, the family Bifidobacteriaceae (IVW, FDR Conclusion: Our MR analysis demonstrated a causal relationship between the gut microbiota and pain, highlighting its potential significance in advancing our understanding of the underlying mechanisms and clinical implications of microbiota-mediated pain.

Indexed as

chronic paingeneticsgut microbiotaMendelian randomizationsingle-nucleotide polymorphisms (SNPs)

Identifiers

PMID38694896
PMCPMC11061420

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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.