Journal of Traditional Chinese Medicine ›› 2024, Vol. 44 ›› Issue (6): 1168-1176.DOI: 10.19852/j.cnki.jtcm.20240927.003
• Research Articles • Previous Articles Next Articles
Analysis of composition of gut microbial community in a rat model of functional dyspepsia treated with Simo Tang (四磨汤)
WANG Yiying1, LIU Jianjun2, XIONG Yongjian1, ZHANG Yongli3, WEN Yuqi1, XUE Mengli1, GUO Huishu1(
), QIU Juanjuan1()
- 1 Centralab, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
2 Clinical Laboratory of Integrative Medicine, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
3 Department of Critical Care Medicine, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
-
Received:2023-08-22Accepted:2023-12-05Online:2024-12-15Published:2024-09-27 -
Contact:QIU Juanjuan, Centralab, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, China. qiujuanjuan123wo@126.com Telephone: +86-18098877623
GUO Huishu, Centralab, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, China. guohuishu1@126.com -
Supported by:National Natural Science Foundation of China: Changes of Ras Homolog Gene Family Member A/Rho-associated Coiled-coil Kinase Signaling Pathway in Liver-Stomach Disharmony Functional Dyspepsia Rats and Intervention Mechanism of Simo Tang(81803896);Role of Gut Microbiota-diaminopimelic Acid Nucleotide-binding and Oligomerization Domain1-receptor-interacting Protein 2 Signal Pathway in Severe Process of Acute Pancreatitis and the Intervention Mechanism of Qingxia Therapy(81873156);Research Project of Liaoning Provincial Department of Education: the Role of Mitochondria-Derived Reactive Oxygen Species Mediated Autophagy Activation in Myocardial Injury in Sepsis(LZ2020036)
Cite this article
WANG Yiying, LIU Jianjun, XIONG Yongjian, ZHANG Yongli, WEN Yuqi, XUE Mengli, GUO Huishu, QIU Juanjuan. Analysis of composition of gut microbial community in a rat model of functional dyspepsia treated with Simo Tang (四磨汤)[J]. Journal of Traditional Chinese Medicine, 2024, 44(6): 1168-1176.
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Figure 1 Establishment of a rat model of FD and the intervention effect of SMT A: trends of body weight in rats; B: sucrose preference rate; C: intestinal propulsion rate. N group: SD rats without treatment (n = 3); FD group: SD rats using a tail clamping stimulation method (n = 3); SMT.G group: model SD rats were fed with SMT (6 g/kg) per day (n = 3); SMT group: model SD rats were fed with SMT (3 g/kg) per day (n = 3). FD: functional dyspepsia, SMT: Simo Tang; SD: Sprague-Dawley. Data are presented as the mean ± standard deviation using one-way analysis of variance (n = 3). aP < 0.01, compared with the N group; bP < 0.01, cP < 0.05, compared with the FD group.
Figure 1 Establishment of a rat model of FD and the intervention effect of SMT A: trends of body weight in rats; B: sucrose preference rate; C: intestinal propulsion rate. N group: SD rats without treatment (n = 3); FD group: SD rats using a tail clamping stimulation method (n = 3); SMT.G group: model SD rats were fed with SMT (6 g/kg) per day (n = 3); SMT group: model SD rats were fed with SMT (3 g/kg) per day (n = 3). FD: functional dyspepsia, SMT: Simo Tang; SD: Sprague-Dawley. Data are presented as the mean ± standard deviation using one-way analysis of variance (n = 3). aP < 0.01, compared with the N group; bP < 0.01, cP < 0.05, compared with the FD group.
Figure 2 Clustering of OTUs A: relative abundance of OTUs in the four groups; B: dilution curve of all samples; C: Venn diagram. OTU: operational taxonomic units; SD: Sprague-Dawley. N group: SD rats without treatment (n = 5); FD group: SD rats using a tail clamping stimulation method (n = 4); SMT.G group: model SD rats were fed with SMT (6 g/kg) per day; SMT group (n = 5): model SD rats were fed with SMT (3 g/kg) per day (n = 4).
Figure 2 Clustering of OTUs A: relative abundance of OTUs in the four groups; B: dilution curve of all samples; C: Venn diagram. OTU: operational taxonomic units; SD: Sprague-Dawley. N group: SD rats without treatment (n = 5); FD group: SD rats using a tail clamping stimulation method (n = 4); SMT.G group: model SD rats were fed with SMT (6 g/kg) per day; SMT group (n = 5): model SD rats were fed with SMT (3 g/kg) per day (n = 4).
Figure 3 SMT modulated intestinal bacterial composition in the rat model of FD A: analysis of bacterial composition in different groups at phylum level; B: comparison of the Ace index; C: comparison of the Chao1 index; D: comparison of the Shannon index; E: comparison of the Simpson index; F: principal coordinates analysis based on weighted Unifrac distances. FD: functional dyspepsia, SMT: Simo Tang; SD: Sprague-Dawley. N group: SD rats without treatment (n = 5); FD group: SD rats using a tail clamping stimulation method (n = 4); SMT.G group: model SD rats were fed with SMT (6 g/kg) per day (n = 5); SMT group: model SD rats were fed with SMT (3 g/kg) per day (n = 5). Data are presented as the mean ± standard deviation using one-way analysis of variance (n = 4-5). aP < 0.01: compared with the N group; bP < 0.05: compared with the N group; cP < 0.05: compared with the FD group.
Figure 3 SMT modulated intestinal bacterial composition in the rat model of FD A: analysis of bacterial composition in different groups at phylum level; B: comparison of the Ace index; C: comparison of the Chao1 index; D: comparison of the Shannon index; E: comparison of the Simpson index; F: principal coordinates analysis based on weighted Unifrac distances. FD: functional dyspepsia, SMT: Simo Tang; SD: Sprague-Dawley. N group: SD rats without treatment (n = 5); FD group: SD rats using a tail clamping stimulation method (n = 4); SMT.G group: model SD rats were fed with SMT (6 g/kg) per day (n = 5); SMT group: model SD rats were fed with SMT (3 g/kg) per day (n = 5). Data are presented as the mean ± standard deviation using one-way analysis of variance (n = 4-5). aP < 0.01: compared with the N group; bP < 0.05: compared with the N group; cP < 0.05: compared with the FD group.
Figure 4 LEfSe analysis of microbiota in different groups A: LEfSe identified the most differentially abundant bacterial taxa in different groups. LDA threshold > 4 is shown; B: taxonomic cladogram obtained from LEfSe analysis of 16S rDNA sequences. LefSe: Linear discriminant analysis effect size; SD: Sprague-Dawley. N group: SD rats without treatment (n = 5); FD group: SD rats using a tail clamping stimulation method (n = 5); SMT.G group: model SD rats were fed with SMT (6 g/kg) per day (n = 4); SMT group: model SD rats were fed with SMT (3 g/kg) per day (n = 4).
Figure 4 LEfSe analysis of microbiota in different groups A: LEfSe identified the most differentially abundant bacterial taxa in different groups. LDA threshold > 4 is shown; B: taxonomic cladogram obtained from LEfSe analysis of 16S rDNA sequences. LefSe: Linear discriminant analysis effect size; SD: Sprague-Dawley. N group: SD rats without treatment (n = 5); FD group: SD rats using a tail clamping stimulation method (n = 5); SMT.G group: model SD rats were fed with SMT (6 g/kg) per day (n = 4); SMT group: model SD rats were fed with SMT (3 g/kg) per day (n = 4).
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