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. 2021 Jan 12:2021:1416236.
doi: 10.1155/2021/1416236. eCollection 2021.

Acupoint Massage Therapy Alters the Composition of Gut Microbiome in Functional Constipation Patients

Hui Chen  1 , Pei-Shan Tan  2 , Chun-Ping Li  1 , Bi-Zhen Chen  3 , Yu-Qin Xu  4 , Yan-Qin He  3 , Xiao Ke  1
Affiliations

Acupoint Massage Therapy Alters the Composition of Gut Microbiome in Functional Constipation Patients

Hui Chen et al. Evid Based Complement Alternat Med. .

Abstract

Results: Results showed the overall structure of gut microbiome has no significant difference between experimental and control groups. In the genus level, the abundance of Pseudobutyrivibrio and Ruminiclostridium is higher in the experiment group than in the control, whereas that of Fusicatenibacter is less. The 16S KEGG function prediction suggested that Parkinson disease, retinol metabolism, and arachidonic acid metabolism could explain the biological function of different gut microbiome. Furthermore, cytokines in the serum showed a correlation with the abundance of Pseudobutyrivibrio in CFC.

Conclusion: AMT could change the composition of gut microbiome which is associated with cytokines in CFC patients.

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Conflict of interest statement

All authors declare that they have no conflicts of interest.

Figures

Figure 1
Figure 1
Rank abundance curves displaying the species richness and evenness in all samples. (a) Rarefaction curves with Good's coverage. (b) Specaccum.
Figure 2
Figure 2
Heatmap showing the abundance of different top 30 microbial in all samples. The samples were clustered according to these relative abundances. The phylogenetic tress could not classify the samples from the experimental or control groups into the same clade.
Figure 3
Figure 3
The 16S rRNA gene amplicon sequencing showing differences in the genus level between the samples from the experimental and control groups.
Figure 4
Figure 4
The difference analysis of specific species and genus. (a) Comparison of relative abundance of Fusicatenibacter, Pseudobutyrivibrio, and Ruminiclostridium between experimental and control groups. Data were presented as box plots with the average and range. The statistical significance was tested by MannWhitney, P < 0.05. Bar color indicates the group: red, experimental; blue, control. (b) LEfSe analysis of discriminative features in gut microbiome from CPC patients with or without AMT. The LDA level was set as LDA >3, P < 0.05. Bar color indicates the group: red, experimental; blue, control. (c) Spearman correlation analysis of cytokines, CFC-related protein, and the relative abundance of Fusicatenibacter, Pseudobutyrivibrio, and Ruminiclostridium.
Figure 5
Figure 5
PICRUS analysis predicting the KEGG function of gut microbiome based on 16S sequence. The heat map displays the Kruskal–Wallis statistical results. The samples and microbiome were clustered in horizontal and vertical phylogenetic trees.
See this image and copyright information in PMC

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