4.7 Article

Prediction of BMI traits in the Chinese population based on the gut metagenome

期刊

MICROBIAL CELL FACTORIES
卷 22, 期 1, 页码 -

出版社

BMC
DOI: 10.1186/s12934-023-02255-3

关键词

SNP; Gut microbiota; Metagenome; Forensic science; Individual characterization

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This study investigated the role of gut bacterial community characteristics and genetic traits in predicting an individual's body mass index (BMI) using metagenomic data from a healthy Chinese population. The findings demonstrated the potential of genetic traits of gut bacteria in predicting BMI and suggest a novel method for determining the body type of suspects in forensic applications.
Background Identifying individual characteristics based on trace evidence left at a crime scene is crucial in forensic identification. Microbial communities found in fecal traces have high individual specificity and could serve as potential markers for forensic characterization. Previous research has established that predicting body type based on the relative abundance of the gut microbiome is relatively accurate. However, the long-term stability and high individual specificity of the gut microbiome are closely linked to changes at the genome level of the microbiome. No studies have been conducted to deduce body shape from genetic traits. Therefore, in this study, the vital role of gut bacterial community characteristics and genetic traits in predicting body mass index (BMI) was investigated using gut metagenomic data from a healthy Chinese population. Results Regarding the gut microbial community, the underweight group displayed increased alpha-diversity in comparison to the other BMI groups. There were significant differences in the relative abundances of 19 species among these three BMI groups. The BMI prediction model, based on the 31 most significant species, showed a goodness of fit (R-2) of 0.56 and a mean absolute error (MAE) of 2.09 kg/m(2). The overweight group exhibited significantly higher alpha-diversity than the other BMI groups at the level of gut microbial genes. Furthermore, there were significant variations observed in the single-nucleotide polymorphism (SNP) density of 732 contigs between these three BMI groups. The BMI prediction model, reliant on the 62 most contributing contigs, exhibited a model R-2 of 0.72 and an MAE of 1.56 kg/m(2). The model predicting body type from 44 contigs correctly identified the body type of 93.55% of the study participants. Conclusion Based on metagenomic data from a healthy Chinese population, we demonstrated the potential of genetic traits of gut bacteria to predict an individual's BMI. The findings of this study suggest the effectiveness of a novel method for determining the body type of suspects in forensic applications using the genetic traits of the gut microbiome and holds great promise for forensic individual identification.

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