Evidence map›Paper›PMID 38686094›Full record

ArticleFrontiers in cellular and infection microbiology2024

Comprehensive assessment of HF-rTMS treatment mechanism for post-stroke dysphagia in rats by integration of fecal metabolomics and 16S rRNA sequencing.

Fei Zhao, Jiemei Chen, Yilong Shan, Jiena Hong, Qiuping Ye, Yong Dai, Jiahui Hu, Jiantao Zhang, Chao Li, Hongmei Wen

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 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

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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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

10 authors.

Fei Zhao *The Third Affiliated Hospital of Sun Yat-sen University, Department of Rehabilitation Medicine, Guangzhou, Guangdong, China.
Jiemei Chen *The Third Affiliated Hospital of Sun Yat-sen University, Department of Rehabilitation Medicine, Guangzhou, Guangdong, China.
Yilong Shan *The Third Affiliated Hospital of Sun Yat-sen University, Department of Rehabilitation Medicine, Guangzhou, Guangdong, China.
Jiena HongThe Third Affiliated Hospital of Sun Yat-sen University, Department of Rehabilitation Medicine, Guangzhou, Guangdong, China.
Qiuping YeThe Third Affiliated Hospital of Sun Yat-sen University, Department of Rehabilitation Medicine, Guangzhou, Guangdong, China.
Yong DaiGuangzhou University of Chinese Medicine, Clinical Medical College of Acupuncture Moxibustion and Rehabilitation, Guangzhou, Guangdong, China.
Jiahui HuGuangzhou University of Chinese Medicine, Clinical Medical College of Acupuncture Moxibustion and Rehabilitation, Guangzhou, Guangdong, China.
Jiantao ZhangThe Third Affiliated Hospital of Sun Yat-sen University, Department of Rehabilitation Medicine, Guangzhou, Guangdong, China.
Chao Li *The Third Affiliated Hospital of Sun Yat-sen University, Department of Rehabilitation Medicine, Guangzhou, Guangdong, China.
Hongmei Wen *The Third Affiliated Hospital of Sun Yat-sen University, Department of Rehabilitation Medicine, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The mechanism by which high-frequency repetitive transcranial magnetic stimulation (HF-rTMS) improves swallowing function by regulating intestinal flora remains unexplored. We aimed to evaluate this using fecal metabolomics and 16S rRNA sequencing. Methods: A Post-stroke dysphagia (PSD) rat model was established by middle cerebral artery occlusion. The magnetic stimulation group received HF-rTMS from the 7th day post-operation up to 14th day post-surgery. Swallowing function was assessed using a videofluoroscopic swallowing study (VFSS). Hematoxylin-eosin (H&E) staining was used to assess histopathological changes in the intestinal tissue. Intestinal flora levels were evaluated by sequencing the 16S rRNA V3-V4 region. Metabolite changes within the intestinal flora were evaluated by fecal metabolomics using liquid chromatography-tandem mass spectrometry. Results: VFSS showed that the bolus area and pharyngeal bolus speed were significantly decreased in PSD rats, while the bolus area increased and pharyngeal transit time decreased after HF-rTMS administration (p < 0.05). In the PSD groups, H&E staining revealed damaged surface epithelial cells and disrupted cryptal glands, whereas HF-rTMS reinforced the integrity of the intestinal epithelial cells. 16S rRNA sequencing indicated that PSD can disturb the intestinal flora and its associated metabolites, whereas HF-rTMS can significantly regulate the composition of the intestinal microflora. Firmicutes and Lactobacillus abundances were lower in the PSD group than in the baseline group at the phylum and genus levels, respectively; however, both increased after HF-rTMS administration. Levels of ceramides (Cer), free fatty acids (FA), phosphatidylethanolamine (PE), triacylglycerol (TAG), and sulfoquinovosyl diacylglycerol were increased in the PSD group. The Cer, FA, and DG levels decreased after HF-rTMS treatment, whereas the TAG levels increased. Peptococcaceae was negatively correlated with Cer, Streptococcus was negatively correlated with DG, and Acutalibacter was positively correlated with FA and Cer. However, these changes were effectively restored by HF-rTMS, resulting in recovery from dysphagia. Conclusion: These findings suggest a synergistic role for the gut microbiota and fecal metabolites in the development of PSD and the therapeutic mechanisms underlying HF-rTMS.

Indexed as

Deglutition DisordersDisease Models, AnimalFecesGastrointestinal MicrobiomeMetabolomicsRNA, Ribosomal, 16SStrokeAnimalsBacteriaMaleRatsRats, Sprague-DawleyTranscranial Magnetic StimulationRNA, Ribosomal, 16Sdysphagiagut microbiotaHF-rTMSmetabolite profilesmiddle cerebral arteryratsstroke

Identifiers

PMID38686094
PMCPMC11057012

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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.