Dietary Protein Source Shapes Gut Microbial Structure and Predicted Functional Potential: a Systematic Integrative Re-Analysis Using Machine Learning

IF 12.7 1区 医学 Q1 NUTRITION & DIETETICS
Advances in Nutrition Pub Date : 2026-02-01 Epub Date: 2026-01-02 DOI:10.1016/j.advnut.2025.100582
Samson Adedeji Adejumo , Garry Lewis , Pritha Das , Casey Kin Yun Lim , Judy Malas , Angus Nnamdi Oli , Jacob M Allen , Jarrad Hampton-Marcell
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引用次数: 0

Abstract

Dietary proteins shape gut microbial ecology, yet the taxonomic and functional consequences of plant- compared with animal-based proteins remain poorly defined. Although digestibility and fermentation profiles differ by protein type, a systematic evaluation of how these differences influence microbial diversity, community structure, and metabolic capacity is lacking. This study represents a systematic integrative re-analysis of raw 16S rRNA sequencing datasets derived from independent controlled animal feeding studies. Following PRISMA guidelines, we analyzed 16S rRNA sequencing data from 10 murine studies (n = 187) comparing plant- and animal-protein diets. Alpha diversity was assessed using Shannon, Inverse Simpson, and Chao1 indices, and beta diversity with Aitchison distances. Differentially abundant taxa were identified using linear discriminant analysis, effect size, and class-weighted Random Forest (RF) models. Functional potential was inferred with phylogenetic investigation of communities by reconstruction of unobserved states, and taxon-pathway relationships were explored using correlation and network analyses. Plant-protein diets increased gut microbial diversity across all alpha diversity metrics and were associated with higher representation of saccharolytic and nitrogen-recycling genera such as Bacteroides, Muribaculaceae, and Allobaculum. Animal-protein diets favored proteolytic taxa, including Clostridium sensu stricto 1 and Colidextribacter. Microbial community structure differed significantly between diets (analysis of similarities R = 0.663, P < 0.001). RF models achieved >88% accuracy (area under the curve = 0.995) in predicting dietary groups, and linear discriminant analysis effect size identified consistent discriminating taxa. Functional profiling showed that plant-based diets enriched pathways linked to short-chain fatty acid and aromatic amino acid metabolism, whereas animal-based diets favored sulfur- and branched-chain amino acid-associated pathways. Network analysis identified Muribaculaceae as a plant-associated hub and Lactobacillus as an animal-associated hub. Dietary protein source significantly influences gut microbiota composition and functional potential in mice. Plant- and animal-based proteins generate distinct metabolic signatures with implications for nitrogen cycling, sulfur metabolism, and microbial ecology. Future controlled dietary studies that harmonize protein source with other macronutrient variables are needed to isolate protein-specific effects.
膳食蛋白质来源塑造肠道微生物结构和预测功能潜力:使用机器学习的系统综合再分析。
背景:膳食蛋白质塑造肠道微生物生态,然而植物蛋白与动物蛋白的分类和功能后果仍然不明确。尽管消化率和发酵特征因蛋白质类型而异,但缺乏对这些差异如何影响微生物多样性、群落结构和代谢能力的系统评估。本研究对来自独立对照动物饲养研究的原始16S rRNA测序数据集进行了系统的综合再分析。方法:遵循PRISMA指南,我们分析了来自10个小鼠研究(n = 187)的16S rRNA测序数据,比较了植物蛋白和动物蛋白饮食。采用Shannon、Inverse Simpson和Chao1指数评价α多样性,采用艾奇逊距离评价β多样性。利用LEfSe和类加权随机森林模型对差异丰富的分类群进行了识别。通过PICRUSt2推测功能电位,并通过相关分析和网络分析探索分类-通路关系。结果:植物蛋白饮食增加了所有α多样性指标的肠道微生物多样性,并且与糖分解和氮循环属(如拟杆菌科、Muribaculaceae和Allobaculum)的更高代表性相关。动物蛋白饲料有利于蛋白水解类群,包括严格感梭菌1和大肠杆菌。不同饲粮间微生物群落结构差异显著(ANOSIM R = 0.663, p < 0.001)。随机森林模型预测饲粮组的准确率为0.88% (AUC = 0.995), LEfSe模型识别出一致的判别分类群。功能分析显示,植物性饮食丰富了与短链脂肪酸和芳香氨基酸代谢相关的途径,而动物性饮食则有利于硫和支链氨基酸相关的途径。网络分析确定了Muribaculaceae为植物相关中心,Lactobacillus为动物相关中心。结论:饲粮蛋白质来源显著影响小鼠肠道菌群组成和功能潜能。基于植物和动物的蛋白质产生不同的代谢特征,与氮循环、硫代谢和微生物生态有关。未来的控制饮食研究需要协调蛋白质来源和其他常量营养素变量,以分离蛋白质特异性影响。意义声明:本研究首次提出了对小鼠蛋白质干预微生物组数据集的标准化系统综合再分析,整合了分类学、机器学习和预测功能分析,以识别区分植物和动物蛋白质饮食的强大微生物和代谢特征。通过协调不同实验背景下的原始测序数据,本工作澄清了蛋白质来源的基础生态反应,并提供了指导未来控制营养和微生物组研究的机制假设。
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来源期刊
Advances in Nutrition
Advances in Nutrition 医学-营养学
CiteScore
17.40
自引率
2.20%
发文量
117
审稿时长
56 days
期刊介绍: Advances in Nutrition (AN/Adv Nutr) publishes focused reviews on pivotal findings and recent research across all domains relevant to nutritional scientists and biomedical researchers. This encompasses nutrition-related research spanning biochemical, molecular, and genetic studies using experimental animal models, domestic animals, and human subjects. The journal also emphasizes clinical nutrition, epidemiology and public health, and nutrition education. Review articles concentrate on recent progress rather than broad historical developments. In addition to review articles, AN includes Perspectives, Letters to the Editor, and supplements. Supplement proposals require pre-approval by the editor before submission. The journal features reports and position papers from the American Society for Nutrition, summaries of major government and foundation reports, and Nutrient Information briefs providing crucial details about dietary requirements, food sources, deficiencies, and other essential nutrient information. All submissions with scientific content undergo peer review by the Editors or their designees prior to acceptance for publication.
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