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Assessment of global health risk of antibiotic resistance genes
Antibiotic resistance genes (ARGs) have accelerated microbial threats to human health in the last decade. Many genes can confer resistance, but evaluating the relative health risks of ARGs is complex. Factors such as the abundance, propensity for lateral transmission and ability of ARGs to be expres...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8943045/ https://www.ncbi.nlm.nih.gov/pubmed/35322038 http://dx.doi.org/10.1038/s41467-022-29283-8 |
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author | Zhang, Zhenyan Zhang, Qi Wang, Tingzhang Xu, Nuohan Lu, Tao Hong, Wenjie Penuelas, Josep Gillings, Michael Wang, Meixia Gao, Wenwen Qian, Haifeng |
author_facet | Zhang, Zhenyan Zhang, Qi Wang, Tingzhang Xu, Nuohan Lu, Tao Hong, Wenjie Penuelas, Josep Gillings, Michael Wang, Meixia Gao, Wenwen Qian, Haifeng |
author_sort | Zhang, Zhenyan |
collection | PubMed |
description | Antibiotic resistance genes (ARGs) have accelerated microbial threats to human health in the last decade. Many genes can confer resistance, but evaluating the relative health risks of ARGs is complex. Factors such as the abundance, propensity for lateral transmission and ability of ARGs to be expressed in pathogens are all important. Here, an analysis at the metagenomic level from various habitats (6 types of habitats, 4572 samples) detects 2561 ARGs that collectively conferred resistance to 24 classes of antibiotics. We quantitatively evaluate the health risk to humans, defined as the risk that ARGs will confound the clinical treatment for pathogens, of these 2561 ARGs by integrating human accessibility, mobility, pathogenicity and clinical availability. Our results demonstrate that 23.78% of the ARGs pose a health risk, especially those which confer multidrug resistance. We also calculate the antibiotic resistance risks of all samples in four main habitats, and with machine learning, successfully map the antibiotic resistance threats in global marine habitats with over 75% accuracy. Our novel method for quantitatively surveilling the health risk of ARGs will help to manage one of the most important threats to human and animal health. |
format | Online Article Text |
id | pubmed-8943045 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89430452022-04-08 Assessment of global health risk of antibiotic resistance genes Zhang, Zhenyan Zhang, Qi Wang, Tingzhang Xu, Nuohan Lu, Tao Hong, Wenjie Penuelas, Josep Gillings, Michael Wang, Meixia Gao, Wenwen Qian, Haifeng Nat Commun Article Antibiotic resistance genes (ARGs) have accelerated microbial threats to human health in the last decade. Many genes can confer resistance, but evaluating the relative health risks of ARGs is complex. Factors such as the abundance, propensity for lateral transmission and ability of ARGs to be expressed in pathogens are all important. Here, an analysis at the metagenomic level from various habitats (6 types of habitats, 4572 samples) detects 2561 ARGs that collectively conferred resistance to 24 classes of antibiotics. We quantitatively evaluate the health risk to humans, defined as the risk that ARGs will confound the clinical treatment for pathogens, of these 2561 ARGs by integrating human accessibility, mobility, pathogenicity and clinical availability. Our results demonstrate that 23.78% of the ARGs pose a health risk, especially those which confer multidrug resistance. We also calculate the antibiotic resistance risks of all samples in four main habitats, and with machine learning, successfully map the antibiotic resistance threats in global marine habitats with over 75% accuracy. Our novel method for quantitatively surveilling the health risk of ARGs will help to manage one of the most important threats to human and animal health. Nature Publishing Group UK 2022-03-23 /pmc/articles/PMC8943045/ /pubmed/35322038 http://dx.doi.org/10.1038/s41467-022-29283-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Zhang, Zhenyan Zhang, Qi Wang, Tingzhang Xu, Nuohan Lu, Tao Hong, Wenjie Penuelas, Josep Gillings, Michael Wang, Meixia Gao, Wenwen Qian, Haifeng Assessment of global health risk of antibiotic resistance genes |
title | Assessment of global health risk of antibiotic resistance genes |
title_full | Assessment of global health risk of antibiotic resistance genes |
title_fullStr | Assessment of global health risk of antibiotic resistance genes |
title_full_unstemmed | Assessment of global health risk of antibiotic resistance genes |
title_short | Assessment of global health risk of antibiotic resistance genes |
title_sort | assessment of global health risk of antibiotic resistance genes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8943045/ https://www.ncbi.nlm.nih.gov/pubmed/35322038 http://dx.doi.org/10.1038/s41467-022-29283-8 |
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