1
|
Yin P, Yi S, Du T, Zhang C, Yu L, Tian F, Zhao J, Chen W, Zhai Q. Dynamic response of different types of gut microbiota to fructooligosaccharides and inulin. Food Funct 2024; 15:1402-1416. [PMID: 38214586 DOI: 10.1039/d3fo04855a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2024]
Abstract
Fructooligosaccharides (FOS) and inulin are beneficial for human health. However, their benefits differ in individuals who consume prebiotics. Several factors contribute to this variation, including host genetics and differences in the gut microbiota. Bifidobacterium and Bacteroides are strong carbohydrate-utilizing bacteria in the gut, and the level of the Bacteroides/Bifidobacterium (Ba/Bi) ratio in the gut is closely related to the body's ability to utilize prebiotics. However, how to select the type of prebiotics more beneficial for populations with specific Ba/Bi backgrounds and the underlying regulatory mechanisms remain unclear. Here, we explored the dynamics of the gut microbiota and metabolic functions during the in vitro fermentation of FOS and inulin in two different groups: Bacteroides/Bifidobacterium high (H) and Bacteroides/Bifidobacterium low (L). This study revealed that the baseline Ba/Bi ratio had a greater impact on the gut microbiota compared to prebiotic species. Noticeable differences were observed between the two groups after prebiotic intervention, with the H group being more likely to benefit from the prebiotic intervention. Compared to the L group, the H group exhibited significantly higher microbial α-diversity; the co-abundance response group 1 (CARG1) members Ruminococcus gnavus and Blautia involved in the synthesis of propionic and butyric acids increased significantly, the abundance of pathogenic bacteria such as Escherichia Shigella decreased significantly, and the ability to degrade carbohydrates and synthesize fatty acids was greater. Regression modeling showed that the key microbiota could predict the short-chain fatty acid (SCFA) levels, with FOS associated with the ecological roles of CARG2 and CARG7 and inulin associated with CARG4, which provides the basis for the use of prebiotics in nutritional applications and the stratification of populations based on pertinent microbiota profiles to explain the incongruent health effects in human intervention studies.
Collapse
Affiliation(s)
- Pingping Yin
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, 214122, China.
- School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, 214122, China
| | - Shanrong Yi
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, 214122, China.
- School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, 214122, China
| | - Ting Du
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, 214122, China.
- School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, 214122, China
| | - Chengcheng Zhang
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, 214122, China.
- School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, 214122, China
| | - Leilei Yu
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, 214122, China.
- School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, 214122, China
| | - Fengwei Tian
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, 214122, China.
- School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, 214122, China
| | - Jianxin Zhao
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, 214122, China.
- School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, 214122, China
| | - Wei Chen
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, 214122, China.
- School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, 214122, China
- National Engineering Research Center for Functional Food, Jiangnan University, Wuxi, Jiangsu, 214122, China
| | - Qixiao Zhai
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi, 214122, China.
- School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu, 214122, China
| |
Collapse
|
2
|
Yin P, Du T, Yi S, Zhang C, Yu L, Tian F, Chen W, Zhai Q. Response differences of gut microbiota in oligofructose and inulin are determined by the initial gut Bacteroides/Bifidobacterium ratios. Food Res Int 2023; 174:113598. [PMID: 37986462 DOI: 10.1016/j.foodres.2023.113598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Revised: 10/07/2023] [Accepted: 10/13/2023] [Indexed: 11/22/2023]
Abstract
Prebiotics are known to modulate the gut microbiota, but there is host variability, mainly due to differences in carbohydrate-utilisation by gut microbiota. Bifidobacterium and Bacteroides are powerful carbohydrate-utilising bacteria, and the ratio of both is closely related to the utilisation of prebiotics. However, the differential impact of prebiotics on the composition and function of the gut microbiota and its metabolites in participants with different Bacteroides/Bifidobacterium (Ba/Bi) ratios have not been studied. Here, we conducted a 4-week randomised double-blind, parallel four-arm trial using two prebiotics (oligofructose and inulin) in two populations with high Ba/Bi (H) and low Ba/Bi (L). The response to prebiotics in both populations was influenced by the baseline microbiota background specificity. Notably, at an overall level, FOS was slightly better than inulin in modulating the gut microbiota. Difference in gut microbiota regulation by FOS across microbiota contexts were significant between the two groups. Butyric acid-producing bacteria were significantly more abundant in H and further elevated butyric acid and related metabolite levels, with H more likely to benefit from the FOS intervention. The two groups showed only metabolic differences in their response to inulin, with L showing a significant increase in propionic acid and being enriched in glycolysis functions, whereas H was enriched in amino acids and aminoglycolysis functions. Overall, these results provide a basis for selecting appropriate prebiotics for participants with different gut backgrounds.
Collapse
Affiliation(s)
- Pingping Yin
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Ting Du
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Shanrong Yi
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Chengcheng Zhang
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Leilei Yu
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Fengwei Tian
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Wei Chen
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122, China; National Engineering Research Center for Functional Food, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Qixiao Zhai
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China; School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122, China.
| |
Collapse
|
3
|
Xu F, Chen R, Zhang C, Wang H, Ding Z, Yu L, Tian F, Chen W, Zhou Y, Zhai Q. Cholecystectomy Significantly Alters Gut Microbiota Homeostasis and Metabolic Profiles: A Cross-Sectional Study. Nutrients 2023; 15:4399. [PMID: 37892474 PMCID: PMC10609985 DOI: 10.3390/nu15204399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Revised: 10/05/2023] [Accepted: 10/15/2023] [Indexed: 10/29/2023] Open
Abstract
Cholecystectomy (CCE) is a standard clinical treatment for conditions like gallstones and cholecystitis. However, its link to post-CCE syndrome, colorectal cancer, and nonalcoholic fatty liver disease has raised concerns. Additionally, studies have demonstrated the disruptive effects of CCE on gut microbiota homeostasis and bile acid (BA) metabolism. Considering the role of gut microbiota in regulating host metabolic and immune pathways, the use of dietary and probiotic intervention strategies to maintain a stable gut ecosystem after CCE could potentially reduce associated disease risks. Inter-study variations have made it challenging to identify consistent gut microbiota patterns after CCE, a prerequisite for targeted interventions. In this study, we first meta-analyzed 218 raw 16S rRNA gene sequencing datasets to determine consistent patterns of structural and functional changes in the gut microbiota after CCE. Our results revealed significant alterations in the gut microbiota's structure and function due to CCE. Furthermore, we identified characteristic gut microbiota changes associated with CCE by constructing a random model classifier. In the validation cohort, this classifier achieved an area under the receiver operating characteristic curve (AUC) of 0.713 and 0.683 when distinguishing between the microbiota of the CCE and healthy groups at the family and genus levels, respectively. Further, fecal metabolomics analysis demonstrated that CCE also substantially modified the metabolic profile, including decreased fecal short-chain fatty acid levels and disrupted BA metabolism. Importantly, dietary patterns, particularly excessive fat and total energy intake, influenced gut microbiota and metabolic profile changes post-CCE. These dietary habits were associated with further enrichment of the microbiota related to BA metabolism and increased levels of intestinal inflammation after CCE. In conclusion, our study identified specific alterations in gut microbiota homeostasis and metabolic profiles associated with CCE. It also revealed a potential link between dietary patterns and gut microbiota changes following CCE. Our study provides a theoretical basis for modulating gut microbiota homeostasis after CCE using long-term dietary strategies and probiotic interventions.
Collapse
Affiliation(s)
- Fusheng Xu
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China; (F.X.); (R.C.); (C.Z.); (L.Y.); (F.T.); (W.C.)
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Ruimin Chen
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China; (F.X.); (R.C.); (C.Z.); (L.Y.); (F.T.); (W.C.)
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Chengcheng Zhang
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China; (F.X.); (R.C.); (C.Z.); (L.Y.); (F.T.); (W.C.)
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Hao Wang
- Department of Hepatobiliary, Wuxi No. 2 People’s Hospital, Jiangnan University Medical Center, Wuxi 214002, China; (H.W.); (Z.D.)
| | - Zhijie Ding
- Department of Hepatobiliary, Wuxi No. 2 People’s Hospital, Jiangnan University Medical Center, Wuxi 214002, China; (H.W.); (Z.D.)
| | - Leilei Yu
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China; (F.X.); (R.C.); (C.Z.); (L.Y.); (F.T.); (W.C.)
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Fengwei Tian
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China; (F.X.); (R.C.); (C.Z.); (L.Y.); (F.T.); (W.C.)
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Wei Chen
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China; (F.X.); (R.C.); (C.Z.); (L.Y.); (F.T.); (W.C.)
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
- National Engineering Research Center for Functional Food, Jiangnan University, Wuxi 214122, China
| | - Yongping Zhou
- Department of Hepatobiliary, Wuxi No. 2 People’s Hospital, Jiangnan University Medical Center, Wuxi 214002, China; (H.W.); (Z.D.)
| | - Qixiao Zhai
- State Key Laboratory of Food Science and Resources, Jiangnan University, Wuxi 214122, China; (F.X.); (R.C.); (C.Z.); (L.Y.); (F.T.); (W.C.)
- School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| |
Collapse
|