Impact of dietary resistant starch type 4 on human gut microbiota and immunometabolic functions

Upadhyaya, Bijaya; McCormack, Lacey; Fardin‐Kia, Ali Reza; Juenemann, Robert M.; Nichenametla, Sailendra N.; Clapper, J. A.; Specker, Bonny; Dey, Moul

doi:10.1038/srep28797

Cited by 182 publications

(160 citation statements)

References 47 publications

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“…A previous clinical trial reported that T2D and hyperlipidaemia patients were ameliorated by metformin and a herbal formula with increased abundance of Bautia , which was correlated significantly with the improvement in circulating glucose and lipids 52. Also, in line with a clinical trial in which Blautia was found to be negatively associated with TC and non-HDL-C, we observed similar negative associations between Blautia and blood lipid profiles 53. The enrichment of Blautia in the lower-fat group suggested that the diet-induced change in gut microbiota might be related to the host lipid homoeostasis in healthy young adults and possibly, be a future target for the management of subjects with cardiometabolic diseases.…”

Section: Discussionsupporting

confidence: 88%

Effects of dietary fat on gut microbiota and faecal metabolites, and their relationship with cardiometabolic risk factors: a 6-month randomised controlled-feeding trial

Wan

Wang²,

Yuan

et al. 2019

Gut

478

300

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ObjectiveTo investigate whether diets differing in fat content alter the gut microbiota and faecal metabolomic profiles, and to determine their relationship with cardiometabolic risk factors in healthy adults whose diet is in a transition from a traditional low-fat diet to a diet high in fat and reduced in carbohydrate.MethodsIn a 6-month randomised controlled-feeding trial, 217 healthy young adults (aged 18–35 years; body mass index <28 kg/m2; 52% women) who completed the whole trial were included. All the foods were provided during the intervention period. The three isocaloric diets were: a lower-fat diet (fat 20% energy), a moderate-fat diet (fat 30% energy) and a higher-fat diet (fat 40% energy). The effects of the dietary interventions on the gut microbiota, faecal metabolomics and plasma inflammatory factors were investigated.ResultsThe lower-fat diet was associated with increased α-diversity assessed by the Shannon index (p=0.03), increased abundance of Blautia (p=0.007) and Faecalibacterium (p=0.04), whereas the higher-fat diet was associated with increased Alistipes (p=0.04), Bacteroides (p<0.001) and decreased Faecalibacterium (p=0.04). The concentration of total short-chain fatty acids was significantly decreased in the higher-fat diet group in comparison with the other groups (p<0.001). The cometabolites p-cresol and indole, known to be associated with host metabolic disorders, were decreased in the lower-fat diet group. In addition, the higher-fat diet was associated with faecal enrichment in arachidonic acid and the lipopolysaccharide biosynthesis pathway as well as elevated plasma proinflammatory factors after the intervention.ConclusionHigher-fat consumption by healthy young adults whose diet is in a state of nutrition transition appeared to be associated with unfavourable changes in gut microbiota, faecal metabolomic profiles and plasma proinﬂammatory factors, which might confer adverse consequences for long-term health outcomes.Trial registration number NCT02355795; Results.

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Section: Discussionsupporting

confidence: 88%

Effects of dietary fat on gut microbiota and faecal metabolites, and their relationship with cardiometabolic risk factors: a 6-month randomised controlled-feeding trial

Wan

Wang²,

Yuan

et al. 2019

Gut

478

300

View full text Add to dashboard Cite

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“…Isovalerate is a degradation product of the branched-chain amino acid valine and is modulated by both mammalian and bacteria metabolism (11). Alterations in the gut microbiota owing to changes in salt intake might alter carbohydrate fermentation and contribute to increased production of short-chain fatty acids such as isovalerate (34). Urate (a purine derivative) increased with sodium restriction, as observed previously (35).…”

Section: Discussionmentioning

confidence: 55%

Effects of dietary sodium on metabolites: the Dietary Approaches to Stop Hypertension (DASH)–Sodium Feeding Study

Derkach

Sampson

Joseph

et al. 2017

The American Journal of Clinical Nutrition

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Background: High sodium intake is known to increase blood pressure and is difficult to measure in epidemiologic studies. Objective: We examined the effect of sodium intake on metabolites within the DASH (Dietary Approaches to Stop Hypertension Trial)-Sodium Trial to further our understanding of the biological effects of sodium intake beyond blood pressure. Design: The DASH-Sodium Trial randomly assigned individuals to either the DASH diet (low in fat and high in protein, low-fat dairy, and fruits and vegetables) or a control diet for 12 wk. Participants within each diet arm received, in random order, diets containing high (150 nmol or 3450 mg), medium (100 nmol or 2300 mg), and low (50 nmol or 1150 mg) amounts of sodium for 30 d (crossover design). Fasting blood samples were collected at the end of each sodium intervention. We measured 531 identified plasma metabolites in 73 participants at the end of their high-and low-sodium interventions and in 46 participants at the end of their high-and medium-sodium interventions (N = 119). We used linear mixed-effects regression to model the relation between each log-transformed metabolite and sodium intake. We also combined the resulting P values with Fisher's method to estimate the association between sodium intake and 38 metabolic pathways or groups. Results: Six pathways were associated with sodium intake at a Bonferroni-corrected threshold of 0.0013 (e.g., fatty acid, food component or plant, benzoate, g-glutamyl amino acid, methionine, and tryptophan). Although 82 metabolites were associated with sodium intake at a false discovery rate #0.10, only 4-ethylphenylsufate, a xenobiotic related to benzoate metabolism, was significant at a Bonferroni-corrected threshold (P , 10 25 ). Adjustment for coinciding change in blood pressure did not substantively alter the association for the top-ranked metabolites. Conclusion: Sodium intake is associated with changes in circulating metabolites, including gut microbial, tryptophan, plant component, and g-glutamyl amino acid-related metabolites. This trial was registered at clinicaltrials.gov as NCT00000608.

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“…in the gut, while type 2 resistant starch increases Ruminococcus bromii and Eubacterium rectale spp. in humans and Bifidobacterium , Akkermansia and Allobaculum genera in mice [4,52,53]. Type 3 resistant starch is considered the most resistant form of resistant starch [54].…”

Section: Important Dietary Components For the Gut Microbiotamentioning

confidence: 99%

Modulation of the gut microbiota by prebiotic fibres and bacteriocins

Umu

Rudi

Diep

2017

Microbial Ecology in Health and Disease

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The gut microbiota is considered an organ that co-develops with the host throughout its life. The composition and metabolic activities of the gut microbiota are subject to a complex interplay between the host genetics and environmental factors, such as lifestyle, diet, stress and antimicrobials. It is evident that certain prebiotics, and antimicrobials produced by lactic acid bacteria (LAB), can shape the composition of the gut microbiota and its metabolic activities to promote host health and/or prevent diseases. In this review, we aim to give an overview of the impact of prebiotic fibres, and bacteriocins from LAB, on the gut microbiota and its activities, which affect the physiology and health of the host. These represent two different mechanisms in modulating the gut microbiota, the first involving exploitative competition by which the growth of beneficial bacteria is promoted and the latter involving interference competition by which the growth of pathogens and other unwanted bacteria is prevented. For interference competition in the gut, bacteriocins offer special advantages over traditional antibiotics, in that they can be designed to act towards specific unwanted bacteria and other pathogens, without any remarkable collateral effects on beneficial microbes sharing the same niche.

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Impact of dietary resistant starch type 4 on human gut microbiota and immunometabolic functions

Cited by 182 publications

References 47 publications

Effects of dietary fat on gut microbiota and faecal metabolites, and their relationship with cardiometabolic risk factors: a 6-month randomised controlled-feeding trial

Effects of dietary fat on gut microbiota and faecal metabolites, and their relationship with cardiometabolic risk factors: a 6-month randomised controlled-feeding trial

Effects of dietary sodium on metabolites: the Dietary Approaches to Stop Hypertension (DASH)–Sodium Feeding Study

Modulation of the gut microbiota by prebiotic fibres and bacteriocins

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