Evidence map›Paper›PMID 36468070›Full record

ArticleFrontiers in neurology2022

Alteration of gut microbiota in migraine patients with irritable bowel syndrome in a Chinese Han population.

Jieqiong Liu, Wenjing Tang, Lei Hou, Jing Wang, Rongfei Wang, Yaofen Zhang, Zhao Dong, Ruozhuo Liu, Shengyuan Yu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 pooled it
1.2field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 3 syntheses or guidelines pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Trial
  5. The Gut Microbiome and Migraine: Updates in Understanding.Current neurology and neuroscience reports · 2025
    Review
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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

9 authors at 1 institution in 1 country.

Jieqiong LiuDepartment of Neurology, The First Medical Center, Chinese PLA General Hospital, Chinese PLA Medical School, Beijing, China.
Wenjing TangDepartment of Neurology, The First Medical Center, Chinese PLA General Hospital, Chinese PLA Medical School, Beijing, China.
Lei HouDepartment of Neurology, The First Medical Center, Chinese PLA General Hospital, Chinese PLA Medical School, Beijing, China.
Jing WangDepartment of Neurology, The First Medical Center, Chinese PLA General Hospital, Chinese PLA Medical School, Beijing, China.
Rongfei WangDepartment of Neurology, The First Medical Center, Chinese PLA General Hospital, Chinese PLA Medical School, Beijing, China.
Yaofen ZhangDepartment of Neurology, The First Medical Center, Chinese PLA General Hospital, Chinese PLA Medical School, Beijing, China.
Zhao DongDepartment of Neurology, The First Medical Center, Chinese PLA General Hospital, Chinese PLA Medical School, Beijing, China.
Ruozhuo LiuDepartment of Neurology, The First Medical Center, Chinese PLA General Hospital, Chinese PLA Medical School, Beijing, China.
Shengyuan YuDepartment of Neurology, The First Medical Center, Chinese PLA General Hospital, Chinese PLA Medical School, Beijing, China.
Chinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Migraine is frequently reported in patients with irritable bowel syndrome (IBS), and emerging evidence suggests that gut microbiota plays a role in migraine and IBS. However, alterations in the gut microbiome in migraine patients with IBS remain unknown. This study aimed to explore the compositions of gut microbiota in migraine patients with IBS in a Chinese Han population. Methods: Sixteen migraine patients with IBS and thirteen age- and gender-matched IBS patients with similar dietary and lifestyle habits were enrolled in this pilot study. Demographic data, clinical data, eating habits, lifestyle habits, comorbidities, and medications were recorded using a unified case registration form. Questionnaires for the Migraine Disability Assessment (MIDAS), Pittsburgh Sleep Quality Index (PSQI), Hamilton Anxiety Scale (HAMA), and Hamilton Depression Scale (HAMD) were completed. Fecal samples were collected, and microbial DNA was extracted. Gut microbiota 16S ribosomal RNA (16S rRNA) gene sequencing targeting the V4 region was performed using the Illumina HiSeq 2500 high-throughput sequencing platform. The relationships between gut microbiota and clinical characteristics of migraine were analyzed. Results: The structure of gut microbiota differed between migraine patients with IBS and patients with IBS, while the richness and diversity of gut microbiota in migraine patients with IBS showed no significant difference from that of patients with IBS. We found a higher relative abundance of the genus Parabacteroides and a lower relative abundance of the genera Paraprevotella, Lachnospiraceae_UCG-010, Lactococcus, Collinsella, and Comamonas in migraine patients with IBS than in patients with IBS. According to random forest predictive models, the phylum Bacteroidota shows the most important role in migraine patients with IBS. Furthermore, no statistical correlation was found between significantly different taxa at the genus level and migraine clinical data. Conclusion: This study identified that altered gut microbiota occurred in Chinese Han migraine patients with IBS, but no correlation was found between gut microbiota and the clinical characteristics of migraine. Further study is needed to better understand the role of gut microbiota in the pathogenesis of migraine in IBS.

Indexed as

16S rRNAgut-brain axisgut microbiotairritable bowel syndromemigraine

Identifiers

PMID36468070
PMCPMC9709108
OpenAlexW4309307987

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.