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肠道微生物特征和膳食纤维摄入量可预测肠道微生物群对抗性淀粉补充的反应。

Gut microbial features and dietary fiber intake predict gut microbiota response to resistant starch supplementation.

机构信息

Division of Nutritional Sciences, Cornell University, Ithaca, NY, USA.

Cornell Statistical Consulting Unit, Cornell University, Ithaca, NY, USA.

出版信息

Gut Microbes. 2024 Jan-Dec;16(1):2367301. doi: 10.1080/19490976.2024.2367301. Epub 2024 Jun 24.

Abstract

Resistant starch (RS) consumption can have beneficial effects on metabolic health, but the response, in terms of effects on the gut microbiota and host physiology, varies between individuals. Factors predicting the response to RS are not yet established and would be useful for developing precision nutrition approaches that maximize the benefits of dietary fiber intake. We sought to identify predictors of gut microbiota response to RS supplementation. We enrolled 76 healthy adults into a 7-week crossover study with 59 individuals completing the study. Participants consumed RS type 2 (RS2), RS type 4 (RS4), and digestible starch, for 10 d each with 5-d washout periods in between. We collected fecal and saliva samples and food records during each treatment period. We performed 16S rRNA gene sequencing and measured fecal short-chain fatty acids (SCFAs), salivary amylase () gene copy number, and salivary amylase activity (SAA). Dietary fiber intake was predictive of the relative abundance of several amplicon sequence variants (ASVs) at the end of both RS treatments. -related metrics were not predictive of response to RS. SAA was only predictive of the relative abundance of one ASV after digestible starch supplementation. Interestingly, SCFA concentrations increased the most during digestible starch supplementation. Treatment order (the order of consumption of RS2 and RS4), alpha diversity, and a subset of ASVs were predictive of SCFA changes after RS supplementation. Based on our findings, dietary fiber intake and gut microbiome composition would be informative if assessed prior to recommending RS supplementation because these data can be used to predict changes in specific ASVs and fecal SCFA concentrations. These findings lay a foundation to support the premise that using a precision nutrition approach to optimize the benefits of dietary fibers such as RS could be an effective strategy to compensate for the low consumption of dietary fiber nationwide.

摘要

抗性淀粉(RS)的摄入对代谢健康有益,但个体之间对肠道微生物群和宿主生理学的影响存在差异。预测 RS 反应的因素尚未确定,这对于开发最大程度地提高膳食纤维摄入量益处的精准营养方法将非常有用。我们旨在确定预测 RS 补充后肠道微生物群反应的因素。我们招募了 76 名健康成年人参加一项为期 7 周的交叉研究,其中 59 人完成了该研究。参与者分别摄入 RS 类型 2(RS2)、RS 类型 4(RS4)和可消化淀粉,每种处理持续 10 天,中间有 5 天的洗脱期。我们在每个治疗期间收集粪便和唾液样本以及食物记录。我们进行了 16S rRNA 基因测序,并测量了粪便短链脂肪酸(SCFA)、唾液淀粉酶()基因拷贝数和唾液淀粉酶活性(SAA)。膳食纤维摄入量可预测两种 RS 处理结束时几个扩增子序列变异(ASV)的相对丰度。SAA 与 RS 反应无关。SAA 仅在可消化淀粉补充后可预测一个 ASV 的相对丰度。有趣的是,SCFA 浓度在可消化淀粉补充期间增加最多。处理顺序(RS2 和 RS4 消耗的顺序)、alpha 多样性和一组 ASV 可预测 RS 补充后 SCFA 的变化。基于我们的发现,如果在推荐 RS 补充之前评估膳食纤维摄入量和肠道微生物群组成,这些数据可用于预测特定 ASV 和粪便 SCFA 浓度的变化。这些发现为使用精准营养方法来优化 RS 等膳食纤维的益处提供了基础,这可能是补偿全国范围内膳食纤维低摄入量的有效策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06ea/11197919/7050ddfcbb10/KGMI_A_2367301_F0001_B.jpg

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