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微生物组和代谢组的联合分析以揭示不同饮食的唾液特征:纯素食者、以海鲜为主的杂食者和红肉(牛肉和羊肉)杂食者之间的比较。

Combined analysis of the microbiome and metabolome to reveal the characteristics of saliva from different diets: a comparison among vegans, seafood-based omnivores, and red meat (beef and lamb) omnivores.

作者信息

Sun Shiyu, Zhang Huiqiong, Ye Linying, Huang Litao, Du Jieyu, Liang Xiaomin, Zhang Xiaofeng, Chen Jiaxing, Jiang Yingping, Chen Ling

机构信息

Guangdong Second Provincial General Hospital, Guangzhou, Guangdong, China.

Department of Pediatrics, Guangdong Provincial People's Hospital, Guangzhou, China.

出版信息

Front Microbiol. 2024 Jul 15;15:1419686. doi: 10.3389/fmicb.2024.1419686. eCollection 2024.

Abstract

INTRODUCTION

Revealing individual characteristics is supportive for identifying individuals in forensic crime. As saliva is one of the most common biological samples used in crime scenes, it is important to make full use of the rich individual information contained in saliva. The aim of this study was to explore the application of the microbiome in forensic science by analysing differences in the salivary microbiome and metabolome of healthy individuals with different dietary habits.

METHODS

We performed 16S rDNA sequencing analysis based on oral saliva samples collected from 12 vegetarians, 12 seafood omnivores and 12 beef and lamb omnivores. Non-targeted metabolomics analyses were also performed based on saliva samples from healthy individuals.

RESULTS

The results showed that the dominant flora of vegetarians was dominated by (belonging to the phylum Proteobacteria), while seafood omnivores and beef and lamb omnivores were dominated by (belonging to the phylum Firmicutes). NDMS-based and cluster analyses showed that vegetarian dieters were significantly differentiated from meat dieters (seafood omnivores and beef and lamb omnivores), which may be related to the fact that high-fiber diets can create a different salivary flora structure. Variants were also detected in salivary metabolic pathways, including positive correlations with Lipid metabolism, Amino acid metabolism, Carbohydrate metabolism, and Nucleotide metabolism in vegetarians, and correlations in seafood omnivores. In order to select salivary microorganisms and metabolic markers that can distinguish different dietary profiles, a random forest classifier model was constructed in this study, and the results showed that individuals with different dietary profiles could be successfully distinguished based on the core genera and metabolites such as , Histidinyl-Valine.

CONCLUSION

Our study provides a supportive basis for the application of salivary polyomics in order to reveal the dietary characteristics of individuals for forensic investigation and crime solving.

摘要

引言

揭示个体特征有助于在法医犯罪中识别个体。由于唾液是犯罪现场最常用的生物样本之一,充分利用唾液中丰富的个体信息非常重要。本研究的目的是通过分析不同饮食习惯的健康个体唾液微生物组和代谢组的差异,探索微生物组在法医学中的应用。

方法

我们对从12名素食者、12名海鲜杂食者和12名牛羊肉杂食者收集的口腔唾液样本进行了16S rDNA测序分析。还基于健康个体的唾液样本进行了非靶向代谢组学分析。

结果

结果表明,素食者的优势菌群以(属于变形菌门)为主,而海鲜杂食者和牛羊肉杂食者以(属于厚壁菌门)为主。基于NDMS的聚类分析表明,素食者与肉食者(海鲜杂食者和牛羊肉杂食者)有显著差异,这可能与高纤维饮食可形成不同的唾液菌群结构这一事实有关。在唾液代谢途径中也检测到了差异,包括素食者中与脂质代谢、氨基酸代谢、碳水化合物代谢和核苷酸代谢呈正相关,以及海鲜杂食者中的相关性。为了选择能够区分不同饮食模式的唾液微生物和代谢标志物,本研究构建了随机森林分类器模型,结果表明基于核心属和代谢物如、组氨酰缬氨酸等可以成功区分不同饮食模式的个体。

结论

我们的研究为唾液多组学的应用提供了支持依据,以便揭示个体的饮食特征用于法医调查和破案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dab/11284149/3475410332e3/fmicb-15-1419686-g001.jpg

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