Chickpea-supplemented diet alters the gut microbiome and enhances gut barrier integrity in C57Bl/6 male mice

Monk, Jennifer M.; Lepp, Dion; Wu, Wenqing; Gräf, Daniela; McGillis, Laurel; Hussain, Adeel; Carey, Christine; Robinson, Lindsay E.; Liu, Ronghua; Tsao, Rong; Brummer, Yolanda; Tosh, Susan M.; Power, Krista A.

doi:10.1016/j.jff.2017.02.002

Cited by 53 publications

(44 citation statements)

References 75 publications

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“…In recent past, several studies were published about gut microbiota in human as well as in rodents focusing on its impact on diet induced obesity [7] [8] [9]. Here we discuss the aspect of gut microbiota population in the cecum fecal and fecal pellet samples from our experimental SD rats fed with cafeteria and normal chow diet.…”

Section: Resultsmentioning

confidence: 99%

“…Selection of sample type for the microbiome analysis is also critical to understand the host-microbial interaction and their metabolic response. Several review reports were published with regards to the host-microbial interaction and the dynamics of their metabolism [6], nevertheless, very few research reports were focused on metabolism and metabolite analysis [7].…”

Section: Gut Microbiota Comprises Of Abundant Species Of Bacteria Andmentioning

confidence: 99%

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Gut Microbiota Dysbiosis in Cafeteria Diet Fed Sprague Dawley Rats

Varadharajan¹,

Shanmugakonar²,

Das³

et al. 2018

AiM

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Diet plays a major role in the body physiology and metabolism. The quantity, nature and stability of the macronutrients present in the diet have a major impact on the composition of gut microbiota. Gut microbiota plays a major role in the body metabolism and leads to obese or lean phenotype. Bacteriodetes, Firmicutes, Proteobacteria and Actinobacteria are the major microbes that inhabit in the region of the gut. We made an attempt to study the effects of Cafeteria (CAF) diets and normal chow diets on diet consumption, weight gain, metabolism and composition of gut microbiota in fecal and cecum samples from three weeks old Sprague Dawley (SD) rats (n = 18/group) using 16S rDNA high throughput sequencing. Results revealed that distinctive diet based phenotypical changes were observed in some of the Cafeteria diet fed rats. Interestingly, some weight gain resistant (WGR) animals in Cafeteria diet fed groups show similar trend like that of control normal chow fed rats. Fecal microbiome analysis indicates that the ratio of Bacteriodetes is higher than the Firmicutes in cecum samples of Cafeteria diet fed rats whereas no significant difference is found in fecal samples of Cafeteria diet fed rats and as well as in control rats. Further analysis of other taxa at the level of family and genus of microbial abundance are also discussed. Our study suggests that contribution of gut microbiota towards obesity is not at the phylum level, and microbiome composition even at the level of species or strain may exert impact on the metabolism of the Cafeteria diet.

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Section: Resultsmentioning

confidence: 99%

Section: Gut Microbiota Comprises Of Abundant Species Of Bacteria Andmentioning

confidence: 99%

Gut Microbiota Dysbiosis in Cafeteria Diet Fed Sprague Dawley Rats

Varadharajan¹,

Shanmugakonar²,

Das³

et al. 2018

AiM

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“…Of the many functions that dietary fiber may affect in mammalian species, there is considerable interest in its influence on the meta-organism, i.e., the gut-associated microbiome [16][17][18][19][20]. The available literature on this topic is expanding rapidly, e.g., [21][22][23][24]; however, we found no studies in which the effects of the four most predominant pulses have been compared. This is important for several reasons.…”

Section: Introductionmentioning

confidence: 92%

“…This is important for several reasons. First, there is no consensus on what component(s) of dietary fiber are essential for gut health (reviewed in [6]), and consequently, various reports of dietary fiber composition [21,[25][26][27][28]] cannot be used to predict gut health effects. Second, a considerable body of literature indicates that gut health effects are attributable to microorganisms that are obligate anaerobes.…”

Section: Introductionmentioning

confidence: 99%

“…Second, a considerable body of literature indicates that gut health effects are attributable to microorganisms that are obligate anaerobes. Thus, except for one report in which microbial analyses were performed on cecal content and stool [21], analyses of the microbiome have been limited to fecal material which may not be directly representative of the profile of microorganisms that colonize the intestinal tract of pulse fed animals/humans and that are responsible for effects of the microbiome on health status. Third, it is widely recognized that results of microbiome analyses can vary widely among publications for a host of technical reasons unrelated to the underlying biology and biochemistry being investigated [29][30][31]; this makes direct comparisons among pulses within the same study of considerable value.…”

Section: Introductionmentioning

confidence: 99%

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Pulse Crop Effects on Gut Microbial Populations, Intestinal Function, and Adiposity in a Mouse Model of Diet-Induced Obesity

et al. 2020

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The dietary fiber gap that is present in many countries co-exists with a low intake of grain legumes (pulses) that have 2–3 times more dietary fiber than cereal grains that are commonly recommended to increase fiber intake. Given the relationships among dietary fiber, gut health and chronic disease risk, a study was undertaken in a preclinical mouse model for obesity to examine how commonly consumed pulses, i.e., chickpea, common bean, dry pea and lentil, would impact gut microbes, intestinal function, and adiposity. Pulses were fed to C57BL/6 mice at similar levels of protein and fiber. Bacterial count in the cecum was elevated 3-fold by pulse consumption. At the phylum level, a 2.2- to 5-fold increase in Bacteriodetes relative to Firmicutes was observed. For Akkermansia muciniphila, a health-beneficial bacterium, differential effects were detected among pulses ranging from no effect to a 49-fold increase. Significant differences among pulses in biomarkers of intestinal function were not observed. Pulses reduced accumulation of lipid in adipose tissue with a greater reduction in the subcutaneous versus visceral depots. Metabolomics analysis indicated that 108 metabolites were highly different among pulse types, and several compounds are hypothesized to influence the microbiome. These results support recent recommendations to increase consumption of pulse-based foods for improved health, although all pulses were not equal in their effects.

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