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Broccoli consumption affects the human gastrointestinal microbiota.
Kaczmarek, JL, Liu, X, Charron, CS, Novotny, JA, Jeffery, EH, Seifried, HE, Ross, SA, Miller, MJ, Swanson, KS, Holscher, HD
The Journal of nutritional biochemistry. 2019;63:27-34
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Plain language summary
Diet affects metabolic and gastrointestinal diseases, with the microbiome considered to be a mediating factor. Broccoli is a good source of fibre and phytochemicals including glucosinolates. The aim of this investigator-blinded, controlled feeding, randomised, crossover study was to evaluate the effects of broccoli on the composition and function of the microbiome. 18 healthy adults received 200 g cooked broccoli and 20 g raw daikon radish per day for 18 days in addition to a controlled, brassica-free diet or the same diet without the broccoli and daikon radish, with a 24-day washout period. A statistically significant increase in the ratio of Bacteroidetes to Firmicutes was observed following the broccoli intervention. When stratified by BMI above or below 25, this increase was only seen in those with a lower BMI whilst those with a higher BMI displayed a decrease in the ratio, although the latter was not statistically significant. In those with the lower BMI, there was also a correlation between the changes in the microbiota composition and glucosinolate metabolites. It was predicted that the involved changes would affect the functions of the endocrine system, transport and catabolism and energy metabolism. The authors concluded that eating broccoli may affect both the composition and the function of the microbiome.
Expert Review
Conflicts of interest:
None
Take Home Message:
- Broccoli consumption at dosages of 200g per day were shown to change the composition of gastrointestinal microbiota, increasing Bacteroidetes and decreasing Firmicutes, and impact their function
- The observed results were strongest in those with a BMI of less than 26
- While interesting, the study only included 18 participants and therefore the results should be further confirmed.
Evidence Category:
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X
A: Meta-analyses, position-stands, randomized-controlled trials (RCTs)
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B: Systematic reviews including RCTs of limited number
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C: Non-randomized trials, observational studies, narrative reviews
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D: Case-reports, evidence-based clinical findings
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E: Opinion piece, other
Summary Review:
Introduction
There is growing evidence linking dysbiosis of the gastrointestinal microbiota and diet-induced gastrointestinal and metabolic diseases. Both long-term and acute dietary changes, fasting, eating frequency, and consumption of specific fibres and food phytochemicals play a role in shaping the composition and function of the microbiota, although evidence is lacking for specific foods. This study aimed to determine the impact of broccoli intake on the number of bacterial strains and their functional capacity.
Methods
This was a single-blind, randomised, crossover, complete feeding intervention. Study participants were healthy adults (n=18, females =10). Participants were requested to not eat Brassica vegetables for 3 weeks before the start of the study.
Subjects participated in two 18-day diet periods separated by a 24-hour washout, during which breakfast and dinner were consumed on site to observe compliance. The control diet was prepared using traditional American foods, excluding all Brassica vegetables. During the broccoli intervention period, participants consumed the same base diet with the addition of 200g of broccoli.
Faecal samples were collected on day 1, and day 16. Quantitative polymerase chain reaction was performed on bacterial strains. On day 17, time series plasma sampling and 24-hour urine collection was done.
Results
There was no difference in alpha diversity (a measure of microbiome diversity within a sample) between the two treatment periods. This indicates that no bacterial species were extinguished by broccoli treatment. Beta diversity analysis (a measure of the (dis)similarity between samples) indicated that bacterial communities were impacted by treatment (P=0.03).
After broccoli consumption, Bacteroidetes increased by 10% (P =0.03), while Firmicutes decreased by 8% (P=0.05). Overall the ratio of Bacteroidetes to Firmicutes increased by 37% (P=0.01) versus a 5% decrease in the control period. The Bacteroides genus increased by 6% (P=0.02) versus a 2% decrease in the control period.
Interestingly, the effects were most strong in those with a lower BMI (< 26 kg/m2) who had an increase in metabolites after broccoli consumption. Algorithms to predict the function of the microbiota showed that broccoli increased endocrine (P=0.05), energy metabolism (P=0.01), transport and catabolism (P=0.04) pathways.
Conclusion
Broccoli intake, at 200g daily, changes the composition and potentially impacts the function of the gut microbiota.
Clinical practice applications:
- Studies like this allow practitioners to focus on specific foods in specific quantities to positively alter the microbiota and their function
- Cruciferous vegetables, like broccoli, kale, cauliflower, cabbage, Brussel sprouts, are an important group as they contain fibre and phytonutrients such as glucosinolates. These compounds can be metabolised by the microbiota into active compounds with health benefits. This study has shown the bidirectional benefit of broccoli consumption in that it can positively impact the function and composition of the microbiota
- Interestingly, the results in this small study were driven by participants with a BMI of less than 26. Sub-group analysis found no statistically significant relationships in participants with BMI >26
- It is worth noting that it is possible that the addition of 5g of fibre from the broccoli is also contributing to the changes observed.
Considerations for future research:
- Larger, controlled feeding studies that isolate specific foods to identify their effects on the microbiota are needed
- Genetic sequencing for only a few bacterial myrosinases has been completed and therefore future studies should aim to assess the metabolic capabilities in faecal samples such as myrosinase activity
- While this study and others have shown changes in the types of bacteria after cruciferous vegetable consumption the consistency of results has been mixed potentially due to differing study designs and treatment dosages. Further studies to clarify and confirm these results would be beneficial
- To assess the function of the microbiota a predictive algorithm was used. This requires experimental confirmation by such methods as metabolite profiling and whole genome shotgun sequencing.
Abstract
The human gastrointestinal microbiota is increasingly linked to health outcomes; however, our understanding of how specific foods alter the microbiota is limited. Cruciferous vegetables such as broccoli are a good source of dietary fiber and phytonutrients, including glucosinolates, which can be metabolized by gastrointestinal microbes. This study aimed to determine the impact of broccoli consumption on the gastrointestinal microbiota of healthy adults. A controlled feeding, randomized, crossover study consisting of two 18-day treatment periods separated by a 24-day washout was conducted in healthy adults (n=18). Participants were fed at weight maintenance with the intervention period diet including 200 g of cooked broccoli and 20 g of raw daikon radish per day. Fecal samples were collected at baseline and at the end of each treatment period for microbial analysis. Beta diversity analysis indicated that bacterial communities were impacted by treatment (P=.03). Broccoli consumption decreased the relative abundance of Firmicutes by 9% compared to control (P=.05), increased the relative abundance of Bacteroidetes by 10% compared to control (P=.03) and increased Bacteroides by 8% relative to control (P=.02). Furthermore, the effects were strongest among participants with body mass index <26 kg/m2, and within this group, there were associations between bacterial relative abundance and glucosinolate metabolites. Functional prediction revealed that broccoli consumption increased the pathways involved in the functions of the endocrine system (P=.05), transport and catabolism (P=.04), and energy metabolism (P=.01). These results reveal that broccoli consumption affects the composition and function of the human gastrointestinal microbiota.
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Probiotic Bifidobacterium strains and galactooligosaccharides improve intestinal barrier function in obese adults but show no synergism when used together as synbiotics.
Krumbeck, JA, Rasmussen, HE, Hutkins, RW, Clarke, J, Shawron, K, Keshavarzian, A, Walter, J
Microbiome. 2018;6(1):121
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Plain language summary
Numerous studies have established that the gut microbiota contributes to gastrointestinal health and this can also be achieved through dietary consumption of probiotics and prebiotics. Gut microbiota have also been associated in impacting the markers of metabolic diseases but not many studies are available. Henceforth on this basis this study, looked into the synergistic effects of administering prebiotic together with a select probiotic Bifidobacterium strain. The main objective of this study was to establish the synergistic effect of probiotics and prebiotics and compare their effects on microbiota composition. This study was a randomised, double-blinded, placebo-controlled, clinical trial conducted on a total of 151 volunteers assigned to six treatments groups. The authors concluded that the synergistic combinations tested in this study did not demonstrate functional synergism, and neither any significant effects on metabolic disease outcomes were observed within the six treatment groups. Although, the findings from this study clearly demonstrated that the pro and prebiotic components improved markers of colonic permeability, henceforth providing a rational for their use in gut microbiota health.
Abstract
BACKGROUND One way to improve both the ecological performance and functionality of probiotic bacteria is by combining them with a prebiotic in the form of a synbiotic. However, the degree to which such synbiotic formulations improve probiotic strain functionality in humans has not been tested systematically. Our goal was to use a randomized, double-blind, placebo-controlled, parallel-arm clinical trial in obese humans to compare the ecological and physiological impact of the prebiotic galactooligosaccharides (GOS) and the probiotic strains Bifidobacterium adolescentis IVS-1 (autochthonous and selected via in vivo selection) and Bifidobacterium lactis BB-12 (commercial probiotic allochthonous to the human gut) when used on their own or as synbiotic combinations. After 3 weeks of consumption, strain-specific quantitative real-time PCR and 16S rRNA gene sequencing were performed on fecal samples to assess changes in the microbiota. Intestinal permeability was determined by measuring sugar recovery in urine by GC after consumption of a sugar mixture. Serum-based endotoxin exposure was also assessed. RESULTS IVS-1 reached significantly higher cell numbers in fecal samples than BB-12 (P < 0.01) and, remarkably, its administration induced an increase in total bifidobacteria that was comparable to that of GOS. Although GOS showed a clear bifidogenic effect on the resident gut microbiota, both probiotic strains showed only a non-significant trend of higher fecal cell numbers when administered with GOS. Post-aspirin sucralose:lactulose ratios were reduced in groups IVS-1 (P = 0.050), IVS-1 + GOS (P = 0.022), and GOS (P = 0.010), while sucralose excretion was reduced with BB-12 (P = 0.002) and GOS (P = 0.020), indicating improvements in colonic permeability but no synergistic effects. No changes in markers of endotoxemia were observed. CONCLUSION This study demonstrated that "autochthony" of the probiotic strain has a larger effect on ecological performance than the provision of a prebiotic substrate, likely due to competitive interactions with members of the resident microbiota. Although the synbiotic combinations tested in this study did not demonstrate functional synergism, our findings clearly showed that the pro- and prebiotic components by themselves improved markers of colonic permeability, providing a rational for their use in pathologies with an underlying leakiness of the gut.
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Long-term effects of provided low and high glycemic load low energy diets on mood and cognition.
Cheatham, RA, Roberts, SB, Das, SK, Gilhooly, CH, Golden, JK, Hyatt, R, Lerner, D, Saltzman, E, Lieberman, HR
Physiology & behavior. 2009;98(3):374-9
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Previous studies have shown a difference between low glycaemic index (GI) and high GI energy restricted diets on mood and cognition. This randomised trial of 46 healthy overweight individuals aimed to assess the long-term effects of LG or HG energy restricted diet on mood and cognition function. Individuals were randomly assigned to a low GI or a high GI diet with caloric restriction for 12 months. The study did not observe any difference in cognitive function of individuals assigned to either the low GI or the high GI diet but it did show a beneficial effect of low GI diet on subclinical depression. The results of this small study were consistent with previous studies where low GI diets may be protective against negative mood change during weight loss whereas negative changes occur if a conventional high GI diet is consumed.
Abstract
Energy-restricted low glycemic load diets are being used increasingly for weight loss. However, the long-term effects of such regimens on mood and cognitive performance are not known. We assessed the effects of low glycemic load (LG) and high glycemic load (HG) energy-restricted diets on mood and cognitive performance during 6 months of a randomized controlled trial when all food was provided. Subjects were 42 healthy overweight adults (age 35+/-5 years; BMI 27.8+/-1.6 kg/m(2)) with a mean weight loss of 8.7+/-5.0% that did not differ significantly by diet randomization. Mood was assessed by using the Profile of Mood States (POMS) questionnaire. Cognitive performance was assessed by using computerized tests of simple reaction time, vigilance, learning, short-term memory and attention, and language-based logical reasoning. Worsening mood outcome over time was observed in the HG diet group compared to the LG for the depression subscale of POMS (p=0.009 after including hunger as a covariate). There was no significant change over time in any cognitive performance values. These findings suggest a negative effect of an HG weight loss diet on sub-clinical depression but, in contrast to a previous suggestion, provide no support for differential effects of LG versus HD diets on cognitive performance.