| Literature DB >> 35401199 |
Min Gao1, Xinhao Duan1, Xiang-Ru Liu1, Shiyue Luo1, Shixin Tang1, Hao Nie1, Jing Yan1, Zhen Zou2,3, Chengzhi Chen1,3, Qi Yin1,3, Jingfu Qiu1.
Abstract
Traditional herbal medicine (THM) is used worldwide for its safety and effectiveness against various diseases. Huoxiang Zhengqi (HXZQ) is an extensively used Chinese THM formula targeting gastrointestinal disordered gastroenteritis via regulating the intestinal microbiome/immuno-microenvironment. However, the specific mechanisms remain largely unexplored, besides as a lifestyle drug, its safety on the gut microbiome homeostasis has never been investigated. In this study, the effects of HXZQ on the gut microbiome of healthy adults were investigated for the first time, and the antibiotic-induced gut microbiota dysbiosis mice model was applied for verification. Based on healthy adults, our results revealed that HXZQ exhibited mild and positive impacts on the bacterial diversity and the composition of the gut microbiome in a healthy state. As for an unhealthy state of the gut microbiome (with low bacterial diversity and deficient compositions), HXZQ significantly restored the bacterial diversity and recovered the abundance of Bacteroidetes. In the antibiotic-induced mice model, HXZQ distinctly revived the deficient gut microbial compositions impaired by antibiotics. At the genus level, the abundances that responded most strongly and positively to HXZQ were Bifidobacterium in healthy adults and Muribaculaceae, Lactobacillus, and Akkermansia in mice. In contrast, the abundance of Blautia in healthy adults, Enterococcus, and Klebsiella in mice showed inversely associated with HXZQ administration. At last, HXZQ might exhibit an anti-inflammatory effect by regulating the concentration of interleukin-6 in plasma while causing no significant changes in the colon tissue structure in mice. In conclusion, our results elucidate that the safety of HXZQ in daily use further reveals the modulatory effects of HXZQ on gut microbial community structure. These results will provide new insights into the interaction of THM and gut microbiome homeostasis and clues about the safe use of THM as a lifestyle drug for its further development.Entities:
Keywords: Huoxiang Zhengqi; antibiotic-induced gut microbiota dysbiosis; gut microbiome homeostasis; gut microbiota modulation; traditional herbal medicine
Year: 2022 PMID: 35401199 PMCID: PMC8987308 DOI: 10.3389/fphar.2022.841990
Source DB: PubMed Journal: Front Pharmacol ISSN: 1663-9812 Impact factor: 5.810
Basic information and diet habits of participants. Data were reported as mean ± SEM.
| Indicator | Average | Male | Female |
|---|---|---|---|
| Age | 23.03 ± 2.59 | 21.62 ± 2.50 | 24.58 ± 1.64 |
| Body mass index | 21.11 ± 2.29 | 22.35 ± 2.17 | 19.74 ± 1.53 |
| Score | |||
| Smoking | 3.68 ± 0.66 | 3.37 ± 083 | 3.95 ± 0.21 |
| Drinking | 3.65 ± 0.77 | 3.37 ± 0.96 | 3.90 ± 0.44 |
| Breakfast | 3.33 ± 0.86 | 3.95 ± 0.22 | 2.63 ± 0.76 |
| Diet | 1.90 ± 0.30 | 1.90 ± 0.30 | 1.89 ± 0.31 |
| Tasting | 3.20 ± 1.42 | 4.14 ± 1.31 | 2.16 ± 0.76 |
| Staple food | 2.08 ± 0.42 | 2.10 ± 0.30 | 2.05 ± 0.52 |
| Food match | 1.75 ± 0.44 | 1.81 ± 0.40 | 1.68 ± 0.48 |
| Drinking water | 2.00 ± 0.75 | 2.19 ± 0.70 | 1.79 ± 0.63 |
| Fruit | 2.65 ± 0.70 | 2.90 ± 0.70 | 2.36 ± 0.60 |
| Defecation | 2.00 ± 0.00 | 2.00 ± 0.00 | 2.00 ± 0.00 |
| Sleeping | 1.55 ± 0.55 | 1.55 ± 0.55 | 1.47 ± 0.61 |
Scoring Criteria.
Smoking and Drinking: 1, Every day; 2, Occasionally; 3, Already quitting; 4, and Never.
Breakfast: 1, No breakfast; 2, Seldom; 3, Usually; 4, and Every day.
Diet: 1, Irregularly; 2, and Regularly.
Tasting: 1, greasy; 2, Spicy; 3, Sweet; 4, Salty; 5, and Light.
Staple food: 1, Only rice and flour; 2, Preference for rice flour or coarse-grain potatoes; 3, Rice flour and coarse grains and potatoes in equal amounts.
Food match: 1, Other situations; 2, Half meat and half vegetarian.
Drinking water: 1, 400–600 ml 1 day; 2, 600–800 ml 1 day; 3, 800–1000 ml 1 day; 4, Over 2000 ml 1 day.
Fruit: 1, Never; 2, Seldom; 3, Usually; 4, and Every day.
Defecation: 1, Once every 3 days or three times a day; 2, and Once every 2 days or twice a day.
Sleeping: 1, Frequent late nights; 2, Occasional late nights; 3, and No late nights.
FIGURE 1Gut microbial diversity analyses of healthy adults under HXZQ administration for 2 weeks. (A) Alpha-diversity based on observed OTU numbers and Shannon diversity of donors with healthy state of gut microbiome (n = 30). (B) Alpha-diversity based on observed species (richness) and Shannon diversity of donors with low diversity of gut microbiome (n = 8). (C) Bray–Curtis principal coordinate analysis of gut microbiota of donors with healthy state of gut microbiome (n = 30). (D) Partial least squares discriminant analysis of gut microbiota of donors with healthy state of gut microbiome (n = 30). * p-value < 0.05.
FIGURE 2Component comparison analyses of bacterial community structure after HXZQ administration on donors with healthy state of gut microbiome (n = 30). (A) Circos analysis was used to visualize bacterial community structure at each time point. (B) Visual representation of p-values obtained from comparison of an individual in group days 0 and 15. Wilcoxon rank-sum test was applied. * p-value < 0.05; **p < 0.01.
FIGURE 3Bacterial diversity analyses and comparison of bacterial community structure after HXZQ administration in antibiotic-induced gut microbiota dysbiosis mice model (n = 16 in each group). Alpha-diversity based on observed OTU numbers (A) and Shannon diversity on phylum level (B) and genus level (C) were compared in four group mice. Bray–Curtis principal coordinate analysis on phylum level (D) and genus level (E) of gut microbiota. (F,G) Visual representation of p-values obtained from comparison of bacterial abundance on phylum and genus level between four groups. Kruskal–Wallis H test was applied. * p-value <0.05; **p < 0.01; ***p < 0.001.
FIGURE 4Bugbase phenotypic prediction of gut microbiota in mice model. (A) Comparisons between four groups of all phenotypes. (B) Oxidative stress tolerance. (C) Pathogenic potentially. (D) Biofilm formation. Kruskal–Wallis H test was applied. * p-value <0.05; **p < 0.01; ***p < 0.001.
FIGURE 5Effects of HXZQ on immuno-microenvironment in colon tissue of mice. (A) Hematoxylin–eosin staining was used to detect morphological changes in structure of colon. (B) Concentrations of four inflammatory indicators in plasma were detected using ELISA kit analyses. Data were reported as mean ± SEM. Statistical analysis was performed using an independent Student t-test. *p-value < 0.05, represented significant difference.