Abstract:We aimed to evaluate the effect of red meat diet on gut microbiota in mice. Balb/c mice at weaning were randomized into control group and red meat groups with different proportions (25%, 50%, and 75%). Mice were fed with a standard pellet diet as control group, while those were fed with different proportions of red meat diet as red meat groups. After 8 weeks, they were sacrificed and their intestinal contents were obtained for 16S rRNA sequencing and bioinformatics analysis. Our results showed that there were … Show more
“…This genus has previously been reported to be involved in starch degradation and glucose metabolism, providing energy for growth, reducing inflammation and increasing short-chain fatty acid (SCFA) production, contributing thereby to a balanced gastrointestinal tract [139], [140]. As for the undefined genus linked to the Muribaculaceae family, it has been inversely linked to the consumption of foods related to poorer dietary habits, like red meat [141]. Furthermore, several studies in mice have associated this family with body weight loss and a healthier diet after noting an increase in its abundance following a higher consumption of fibre and pulses [142], [143].…”
Section: Discussionmentioning
confidence: 99%
“…Conversely, Sutterella , which was more abundant in the group with poorer HEIs, has been reported to be positively correlated with the likeness of developing T2D [163]. Lachnospiraceae FCS020 group , despite being more abundant in the same HEI group, has been associated with protective properties and a healthier diet in mice [141]. Roseburia , which was more abundant in the group with healthier HEIs, has been widely reported to decrease its abundance in T2D patients [164].…”
The consumption of highly processed foods, along with other dietary and lifestyle poor habits, has an impact on health by increasing the risk of several non-communicable pathologies, such as diabetes. Gut microbiome composition, in specific, can be modulated by nutrients, deriving in different metabolic outcomes that have an influence on this high disease susceptibility and making it a possible therapeutic target for these comorbidities. In this work, gut microbiome of 60 and 46 individuals from 2 different studies focused, among other aspects, on diet-microbiome interactions, was characterised. By means of differential abundance analyses and supervised machine learning techniques based on random forest, gradient boosting and support vector machines, a set of microbial genera that could be potential biomarkers for the differentiation of individuals with poorer dietary patterns was discovered, after comparing coincidences in these taxa among classifiers and testing them for significant differences. Among these, Dialister, Phocea and Pseudoflavonifractor were suggested to have a role in the way highly processed foods affect health negatively, along with Prevotellaceae NK3B31 group and an undetermined genus from Muribaculaceae in the opposite sense. Furthermore, all the identified genera in this study had already been linked to type 2 diabetes, among which Bacteroides and Pseudoflavonifractor proved to be differentially abundant in groups of individuals with different levels of biomarkers for this disease. Nevertheless, further research via longitudinal studies and experimental validation of these genera should be carried out to confirm the association of these taxa with diet and diabetes.
“…This genus has previously been reported to be involved in starch degradation and glucose metabolism, providing energy for growth, reducing inflammation and increasing short-chain fatty acid (SCFA) production, contributing thereby to a balanced gastrointestinal tract [139], [140]. As for the undefined genus linked to the Muribaculaceae family, it has been inversely linked to the consumption of foods related to poorer dietary habits, like red meat [141]. Furthermore, several studies in mice have associated this family with body weight loss and a healthier diet after noting an increase in its abundance following a higher consumption of fibre and pulses [142], [143].…”
Section: Discussionmentioning
confidence: 99%
“…Conversely, Sutterella , which was more abundant in the group with poorer HEIs, has been reported to be positively correlated with the likeness of developing T2D [163]. Lachnospiraceae FCS020 group , despite being more abundant in the same HEI group, has been associated with protective properties and a healthier diet in mice [141]. Roseburia , which was more abundant in the group with healthier HEIs, has been widely reported to decrease its abundance in T2D patients [164].…”
The consumption of highly processed foods, along with other dietary and lifestyle poor habits, has an impact on health by increasing the risk of several non-communicable pathologies, such as diabetes. Gut microbiome composition, in specific, can be modulated by nutrients, deriving in different metabolic outcomes that have an influence on this high disease susceptibility and making it a possible therapeutic target for these comorbidities. In this work, gut microbiome of 60 and 46 individuals from 2 different studies focused, among other aspects, on diet-microbiome interactions, was characterised. By means of differential abundance analyses and supervised machine learning techniques based on random forest, gradient boosting and support vector machines, a set of microbial genera that could be potential biomarkers for the differentiation of individuals with poorer dietary patterns was discovered, after comparing coincidences in these taxa among classifiers and testing them for significant differences. Among these, Dialister, Phocea and Pseudoflavonifractor were suggested to have a role in the way highly processed foods affect health negatively, along with Prevotellaceae NK3B31 group and an undetermined genus from Muribaculaceae in the opposite sense. Furthermore, all the identified genera in this study had already been linked to type 2 diabetes, among which Bacteroides and Pseudoflavonifractor proved to be differentially abundant in groups of individuals with different levels of biomarkers for this disease. Nevertheless, further research via longitudinal studies and experimental validation of these genera should be carried out to confirm the association of these taxa with diet and diabetes.
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