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BMC Nutrition

, 3:20

Clinical Nutrition


BackgroundThe gut microbiota has emerged as an important environmental factor associated with obesity, type 2 diabetes, and cardiovascular disease, through its interactions with dietary factors. Therefore, we analyzed the composition of the fecal microbiota and levels of biochemical markers related to metabolic disease according to dietary pattern in Korean adolescents.

MethodsWe collected fecal samples from 112 student subjects aged 13–16 years with sufficient information available regarding clinical biomarkers and diet, and performed 16S rRNA targeted gene sequencing.

ResultsRegarding bacterial composition according to taxonomic rank, we found that traditional dietary patterns enriched in plant-based and fermented foods were associated with higher proportions of Bacteroides Bacteroidaceae and Bifidobacterium Bifidobacteriaceae-Actinobacteria and a lower proportion of Prevotella Prevotellaceae relative to modified Western dietary patterns a greater proportion of animal-based foods. Specifically, the proportion of Bacteroides Bacteroidaceae was associated with intake of plant-based nutrients such as fiber; however, that of Prevotella Prevotellaceae was negatively associated with these factors. Additionally, we observed that the increase of prevotella Prevotellaceae and decrease of Bacteroides Bacteroidaceae and Ruminococcaceae had a higher risk of obesity. We also found that the traditional dietary pattern was negatively associated with general and central adiposity and levels of clinical biomarkers, including AST, ALT, total cholesterol, triglyceride, hs-CRP, insulin, and HOMA-IR, whereas the positive associations were found for a modified Western dietary pattern.

ConclusionsThese findings suggest that the gut microbiota composition differs markedly according to dietary intake and suggest a role for diet in promoting a gut microbiome associated with the pathogenesis of metabolic disease.

KeywordsDietary patterns Gut microbiota Metabolic syndrome AbbreviationsALTAlalnine aminotransferase

ASTAspartate aminotransferase

BMIBody mass index

CVDCardiovascular disease

HDL-CHigh-density lipoprotein-cholesterol

HOMA-IRHomeostasis model assessment of insulin resistance

hs-crpHigh-sensitivity C-reactive protein

IRInsulin resistance

MSMetabolic syndrome

OTUsOperational taxonomic units

T2DType 2 diabetes

TCTotal cholesterol



Electronic supplementary materialThe online version of this article doi:10.1186-s40795-016-0125-z contains supplementary material, which is available to authorized users.

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Autor: Han Byul Jang - Min-Kyu Choi - Jae Heon Kang - Sang Ick Park - Hye-Ja Lee


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