| RRC ID |
60614
|
| 著者 |
Shan K, Qu H, Zhou K, Wang L, Zhu C, Chen H, Gu Z, Cui J, Fu G, Li J, Chen H, Wang R, Qi Y, Chen W, Chen YQ.
|
| タイトル |
Distinct Gut Microbiota Induced by Different Fat-to-Sugar-Ratio High-Energy Diets Share Similar Pro-obesity Genetic and Metabolite Profiles in Prediabetic Mice.
|
| ジャーナル |
mSystems
|
| Abstract |
Gut microbiota play important roles in host metabolism, especially in diabetes. However, why different diets lead to similar diabetic states despite being associated with different microbiota is not clear. Mice were fed two high-energy diets (HED) with the same energy density but different fat-to-sugar ratios to determine the associations between the microbiota and early-stage metabolic syndrome. The two diets resulted in different microbiota but similar diabetic states. Interestingly, the microbial gene profiles were not significantly different, and many common metabolites were identified, including l-aspartic acid, cholestan-3-ol (5β, 3α), and campesterol, which have been associated with lipogenesis and inflammation. Our study suggests that different metabolic-syndrome-inducing diets may result in different microbiota but similar microbiomes and metabolomes. This suggests that the metagenome and metabolome are crucial for the prognosis and pathogenesis of obesity and metabolic syndrome.IMPORTANCE Various types of diet can lead to type 2 diabetes. The gut microbiota in type 2 diabetic patients are also different. So, two questions arise: whether there are any commonalities between gut microbiota induced by different pro-obese diets and whether these commonalities lead to disease. Here we found that high-energy diets with two different fat-to-sugar ratios can both cause obesity and prediabetes but enrich different gut microbiota. Still, these different gut microbiota have similar genetic and metabolite compositions. The microbial metabolites in common between the diets modulate lipid accumulation and macrophage inflammation in vivo and in vitro This work suggests that studies that only use 16S rRNA amplicon sequencing to determine how the microbes respond to diet and associate with diabetic state are missing vital information.
|
| 巻・号 |
4(5)
|
| 公開日 |
2019-10-8
|
| DOI |
10.1128/mSystems.00219-19
|
| PII |
4/5/e00219-19
|
| PMID |
31594827
|
| PMC |
PMC6787563
|
| IF |
6.633
|
| 引用数 |
1
|
| リソース情報 |
| 一般微生物 |
JCM7053 |
