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碳水化合物摄入对肠道微生物群的作用:证据权重系统评价

The Role of Carbohydrate Intake on the Gut Microbiome: A Weight of Evidence Systematic Review.

作者信息

Mora-Flores Lorena P, Moreno-Terrazas Casildo Rubén, Fuentes-Cabrera José, Pérez-Vicente Hugo Alexer, de Anda-Jáuregui Guillermo, Neri-Torres Elier Ekberg

机构信息

Laboratorio de Biopolímeros, Departamento de Ingeniería Química, Industrial y de Alimentos-Universidad Iberoamericana Ciudad de México, Ciudad de México 01219, Mexico.

Laboratorio de Microbiología, Departamento de Ingeniería Química, Industrial y de Alimentos-Universidad Iberoamericana Ciudad de México, Ciudad de México 01219, Mexico.

出版信息

Microorganisms. 2023 Jun 30;11(7):1728. doi: 10.3390/microorganisms11071728.

Abstract

(1) Background: Carbohydrates are the most important source of nutritional energy for the human body. Carbohydrate digestion, metabolism, and their role in the gut microbiota modulation are the focus of multiple studies. The objective of this weight of evidence systematic review is to investigate the potential relationship between ingested carbohydrates and the gut microbiota composition at different taxonomic levels. (2) Methods: Weight of evidence and information value techniques were used to evaluate the relationship between dietary carbohydrates and the relative abundance of different bacterial taxa in the gut microbiota. (3) Results: The obtained results show that the types of carbohydrates that have a high information value are: soluble fiber with increase, insoluble fiber with and increase, and decrease. Oligosaccharides with increase and decrease. Gelatinized starches with increase. Starches and resistant starches with decrease and increase. (4) Conclusions: This work provides, for the first time, an integrative review of the subject by using statistical techniques that have not been previously employed in microbiota reviews.

摘要

(1) 背景:碳水化合物是人体最重要的营养能量来源。碳水化合物的消化、代谢及其在调节肠道微生物群中的作用是多项研究的重点。本证据权重系统评价的目的是研究摄入的碳水化合物与不同分类水平下肠道微生物群组成之间的潜在关系。(2) 方法:采用证据权重和信息价值技术评估膳食碳水化合物与肠道微生物群中不同细菌类群相对丰度之间的关系。(3) 结果:所得结果表明,具有高信息价值的碳水化合物类型为:可溶性纤维增加,不溶性纤维增加且增加,减少。低聚糖增加且减少。糊化淀粉增加。淀粉和抗性淀粉减少且增加。(4) 结论:本研究首次通过使用微生物群综述中未曾采用的统计技术,对该主题进行了综合综述。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/454b/10385781/2de640636931/microorganisms-11-01728-g001.jpg

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