Dietary fat, the gut microbiota, and metabolic health – A systematic review conducted within the MyNewGut project

肠道菌群 观察研究 医学 多不饱和脂肪酸 随机对照试验 系统回顾 生理学 食品科学 环境卫生 梅德林 内科学 脂肪酸 生物 生物化学 免疫学
作者
Maike Wolters,Jenny Ahrens,Marina Romaní‐Pérez,Claire Watkins,Yolanda Sanz,Alfonso Benı́tez-Páez,Catherine Stanton,Kathrin Günther
出处
期刊:Clinical Nutrition [Elsevier]
卷期号:38 (6): 2504-2520 被引量:186
标识
DOI:10.1016/j.clnu.2018.12.024
摘要

Background and aims Studies indicate that dietary fat quantity and quality influence the gut microbiota composition which may as a consequence impact metabolic health. This systematic review aims to summarize the results of available studies in humans on dietary fat intake (quantity and quality), the intestinal microbiota composition and related cardiometabolic health outcomes. Methods We performed a systematic review (CRD42018088685) following PRISMA guidelines and searched for literature in Medline, EMBASE, and Cochrane databases. Results From 796 records, 765 records were excluded based on title or abstract. After screening of 31 full-text articles six randomized controlled trials (RCT) and nine cross-sectional observational studies were included. Our results of interventional trials do not suggest strong effects of different amounts and types of dietary fat on the intestinal microbiota composition or on metabolic health outcomes while observational studies indicate associations with the microbiota and health outcomes. High intake of fat and saturated fatty acids (SFA) may negatively affect microbiota richness and diversity and diets high in monounsaturated fatty acids (MUFA) may decrease total bacterial numbers whereas dietary polyunsaturated fatty acids (PUFA) had no effect on richness and diversity. Conclusions High fat and high SFA diets can exert unfavorable effects on the gut microbiota and are associated with an unhealthy metabolic state. Also high MUFA diets may negatively affect gut microbiota whereas PUFA do not seem to negatively affect the gut microbiota or metabolic health outcomes. However, data are not consistent and most RCT and observational studies showed risks of bias.
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