Evidence map›Paper›PMID 37946480›Full record

ArticleJournal of traditional Chinese medicine = Chung i tsa chih ying wen pan2023

Integrated 'omics analysis for the gut microbiota response to moxibustion in a rat model of chronic fatigue syndrome.

L I Chaoran, Yang Yan, Feng Chuwen, L I Heng, Q U Yuanyuan, Wang Yulin, Wang Delong, Wang Qingyong, Guo Jing, Shi Tianyu and 5 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 4 citations in OpenAlex.

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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

15 authors at 1 institution in 1 country.

L I ChaoranDepartment of Acupuncture, Zhejiang Chinese Medical University, Hangzhou 310000, China.
Yang YanDepartment of Chinese Medical Literature, College of Basic Medicine, Heilongjiang University of Chinese medicine, Harbin 150040, China.
Feng ChuwenDepartment of Rehabilitation, the First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin 150040, China.
L I HengShanghai Applied Protein Technology Co., Ltd., Shanghai 200233, China.
Q U YuanyuanGraduate School, the Second Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin 150040, China.
Wang YulinDepartment of Acupuncture, the Second Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin 150040, China.
Wang DelongDepartment of Acupuncture, the Second Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin 150040, China.
Wang QingyongGraduate School, the Second Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin 150040, China.
Guo JingGraduate School, the Second Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin 150040, China.
Shi TianyuGraduate School, the Second Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin 150040, China.
Sun XiaoweiDepartment of Acupuncture, the First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin 150040, China.
Wang XueDepartment of Acupuncture, Chongqing Changshou District People's Hospital, Chongqing 401220, China.
Hou YunlongCollege of integrated Chinese and Western Medicine, Hebei University of Chinese Medicine, and National Key Laboratory of Collateral Disease Research and Innovative Chinese Medicine, Hebei 050000, China.
Sun ZhongrenDepartment of Acupuncture, the Second Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin 150040, China.
Yang Tiansong10 Department of Rehabilitation, the First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, and Traditional Chinese Medicine Informatics Key Laboratory of Heilongjiang Province, Harbin 150040, China.
First Affiliated Hospital of Heilongjiang University of Chinese Medicine · CN

Funding

Based on Gut Microbiota and Metabolism to Study the Mechanism in the Treatment of Chronic Fatigue Syndrome by Moxibustion 2019BS03Based on TGF-β/Smad Signaling Pathway to Studying the Role and Mechanism of NF-κB in the Treatment of Chronic Fatigue Syndrome with Electroacupuncture 81704170Experimental Study on Electroacupuncture Improving Protein Expression Differences and Target Effects in Hippocampus and Hypothalamus of Rats with Chronic Fatigue Syndrome LBH-Q18117HSRD VA IIR 16-003Mechanism Study on Electroacupuncture Regulating MDM2 Ubiquitination PSD-95 Level and Remodeling Synaptic Structure of Hippocampal Neurons to Improve Cognitive Dysfunction in CFS 81873378Study on the Effect and Mechanism of Moxibustion on Gut Microbiota in Rats with Chronic Fatigue Syndrome ZHY2020-79Study on the Mechanism of Electroacupuncture Adjusting Gut Microbiota to Improve Oxidative Inflammatory Response in the Treatment of Chronic Fatigue Syndrome LH2020H092Study on the Mechanism of Moxibustion Regulating the Gut Microbiota of Chronic Fatigue Syndrome Targeting the 5-HT Signal System 2021RCZXZK02Study on the Mechanism of Moxibustion Repairing the Barrier Function-Inflammatory Response of Chronic Fatigue Syndrome by the Gut-Brain Axis ZS21ZA08The Mechanism of Electroacupuncture Improving Hippocampal Synaptic Plasticity in CFS Cognitive Dysfunction Rats ZHY2022-136The Mechanism of TGF-β/ Smad Mediated NF- κB Inflammatory Pathway in the Treatment of Chronic Fatigue Syndrome by Electroacupuncture ZHY16-003
6 · The paper itself

Abstract

objectiveTo observe the efficacy of moxibustion in the treatment of chronic fatigue syndrome (CFS) and explore the effects on gut microbiota and metabolic profiles.

methodsForty-eight male Sprague-Dawley rats were randomly assigned to control group (Con), CFS model group (Mod, established by multiple chronic stress for 35 d), MoxA group (CFS model with moxibustion Shenque (CV8) and Guanyuan (CV4), 10 min/d, 28 d) and MoxB group (CFS model with moxibustion Zusanli (ST36), 10 min/d, 28 d). Open-field test (OFT) and Morris-water-maze test (MWMT) were determined for assessment the CFS model and the therapeutic effects of moxibustion.16S rRNA gene sequencing analysis based gut microbiota integrated untargeted liquid chromatograph-mass spectrometer (LC-MS) based fecal metabolomics were executed, as well as Spearman correlation analysis, was utilized to uncover the functional relevance between the potential metabolites and gut microbiota.

resultsThe results of our behavioral tests showed that moxibustion improved the performance of CFS rats in the OFT and the MWMT. Microbiome profiling analysis revealed that the gut microbiomes of CFS rats were less diverse with altered composition, including increases in pro-inflammatory species (such as Proteobacteria) and decreases in anti-inflammatory species (such as Bacteroides, Lactobacillus, Ruminococcus, and Prevotella). Moxibustion partially normalized these changes in the gut microbiota. Furthermore, CFS was associated with metabolic disorders, which were effectively ameliorated by moxibustion. This was demonstrated by the normalization of 33 microbiota-related metabolites, including mannose (

conclusionsIn this study, we demonstrated that moxibustion has an antifatigue-like effect. The results from the 16S rRNA gene sequencing and metabolomics analysis suggest that the therapeutic effects of moxibustion on CFS are related to the regulation of gut microorganisms and their metabolites. The increase in Bacteroides and decrease in LCA may be key targets for the moxibustion treatment of CFS.

Indexed as

Fatigue Syndrome, ChronicGastrointestinal MicrobiomeMoxibustionAnimalsMaleMetabolomicsRatsRats, Sprague-DawleyRNA, Ribosomal, 16SRNA, Ribosomal, 16S16S rRNA gene sequencingfatigue syndrome, chronicgastrointestinal microbiomemetabolomicsmoxibustion

Identifiers

PMID37946480
PMCPMC10623263
OpenAlexW4388578252

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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.