2021
DOI: 10.1016/j.nut.2021.111293
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Gut microbiota of adults with different metabolic phenotypes

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Cited by 20 publications
(15 citation statements)
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“…As such, hyperuricemia has been considered a component of metabolic syndrome (2). Previous studies have shown that a high relative abundance of genus Coprococcus is associated with a low prevalence of metabolic diseases, such as type 2 diabetes, hyperlipemia, and obesity (36–38). Findings from our 2 independent study samples are consistent with previous reports, suggesting that a low relative abundance of genus Coprococcus may play a role in hyperuricemia.…”
Section: Discussionmentioning
confidence: 99%
“…As such, hyperuricemia has been considered a component of metabolic syndrome (2). Previous studies have shown that a high relative abundance of genus Coprococcus is associated with a low prevalence of metabolic diseases, such as type 2 diabetes, hyperlipemia, and obesity (36–38). Findings from our 2 independent study samples are consistent with previous reports, suggesting that a low relative abundance of genus Coprococcus may play a role in hyperuricemia.…”
Section: Discussionmentioning
confidence: 99%
“…Thus, Olivares et al observed differences in gut microbiome of adults depending on weight status, finding a rise in the genus Bifidobacterium and a decrease in Prevotellaceae, Faecalibacterium, and Eubacteriumrectale in participants with normal weight compared to those who had overweight or obesity. 29 In addition, the phylum Bacteroidetes 24,25,28,30 and the genus Bifidobacterium 27 are underrepresented in gut microbiota of children with overweight or obesity compared to the microbiota of children with normal-weight (Table 1), where lifestyle changes (diet/physical activity) may affect fecal microbiota. 30 In this context, a multicenter prospective cohort trial called TEDDY study was designed, with the objective of identifying those environmental factors that triggered or protected against type 1 diabetes.…”
mentioning
confidence: 99%
“…A total of ten cohorts from nine BioProjects were included, four for childhood obesity (PRJNA647465 12 , PRJNA317290, PRJNA433269 13 , PRJNA637782 14 ) and five for adulthood obesity (PRJNA483803, PRJNA339677 15 , PRJNA631293 16 , PRJNA273824, PRJNA417691 17 ). Among these projects, 601 samples of raw data met our categories and were further analyzed, and the detail of each BioProject is shown in supplementary tables.…”
Section: Resultsmentioning
confidence: 99%