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Updated: Jan 27, 2026

A Double Humanized BLT-mice Model Featuring a Stable Human-Like Gut Microbiome and Human Immune System
Published on: August 30, 2019
Human gut resistome can be country-specific
Yao Xia1,2, Yanshan Zhu3, Qier Li4
1Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
Antibiotic resistance genes in the human gut vary significantly by nationality. A machine learning model accurately identified nationality based on gut resistome data, highlighting country-specific influences.
Area of Science:
- Microbiology
- Genetics
- Public Health
Background:
- Antibiotic resistance is a major global health threat.
- The human gut microbiome harbors a vast collection of antibiotic resistance genes (the gut resistome).
- Factors like antibiotic consumption influence the gut resistome, potentially leading to national variations.
Purpose of the Study:
- To quantitatively characterize national differences in the human gut resistome.
- To assess if the gut resistome can reliably identify an individual's nationality.
- To investigate the impact of country-specific factors on gut resistome composition.
Main Methods:
- Analysis of a large dataset comprising 1,267 human gut samples from America, China, Denmark, and Spain.
- Development and application of a stacking machine-learning model.
- Utilizing the gut resistome as the sole feature for nationality identification.
Main Results:
- The machine learning model achieved high accuracy in identifying nationalities: F1 scores ranged from 0.964 (American) to 0.987 (Chinese).
- Significant differences in gut resistome composition were observed among the studied nationalities.
- The gut resistome proved to be a reliable indicator of an individual's country of origin.
Conclusions:
- Nationalities exhibit distinct gut resistome profiles.
- The gut resistome can serve as a reliable biomarker for nationality.
- Findings underscore the importance of country-specific factors in shaping the human gut resistome and have implications for public health policy.
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