Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
An omics-based framework for assessing the health risk of antimicrobial resistance genes
by
Gillings, Michael R.
, Zhao, Shijie
, Dai, Chengzhen L.
, Hanage, William P.
, Alm, Eric J.
, van Loosdrecht, Mark C. M.
, Gaston, Jeffry M.
, Poyet, Mathilde
, Yin, Xiaole
, Topp, Edward
, Li, Li-Guan
, Moniz, Katya
, Tiedje, James M.
, Zhang, Tong
, Zhang, An-Ni
, Groussin, Mathieu
in
45/41
/ 45/47
/ 631/326/1762
/ 631/326/22/1434
/ 631/326/2565/2134
/ Antibiotic resistance
/ Antibiotics
/ Antimicrobial agents
/ Antimicrobial resistance
/ Drug resistance
/ Enrichment
/ Evaluation
/ Fecal microflora
/ Genes
/ Genomes
/ Health risks
/ Humanities and Social Sciences
/ Intestinal microflora
/ Microbiomes
/ Microbiota
/ Mobility
/ multidisciplinary
/ Pathogenicity
/ Pathogens
/ Plasmids
/ Public health
/ Risk management
/ Risk reduction
/ Science
/ Science (multidisciplinary)
/ Transplantation
2021
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
An omics-based framework for assessing the health risk of antimicrobial resistance genes
by
Gillings, Michael R.
, Zhao, Shijie
, Dai, Chengzhen L.
, Hanage, William P.
, Alm, Eric J.
, van Loosdrecht, Mark C. M.
, Gaston, Jeffry M.
, Poyet, Mathilde
, Yin, Xiaole
, Topp, Edward
, Li, Li-Guan
, Moniz, Katya
, Tiedje, James M.
, Zhang, Tong
, Zhang, An-Ni
, Groussin, Mathieu
in
45/41
/ 45/47
/ 631/326/1762
/ 631/326/22/1434
/ 631/326/2565/2134
/ Antibiotic resistance
/ Antibiotics
/ Antimicrobial agents
/ Antimicrobial resistance
/ Drug resistance
/ Enrichment
/ Evaluation
/ Fecal microflora
/ Genes
/ Genomes
/ Health risks
/ Humanities and Social Sciences
/ Intestinal microflora
/ Microbiomes
/ Microbiota
/ Mobility
/ multidisciplinary
/ Pathogenicity
/ Pathogens
/ Plasmids
/ Public health
/ Risk management
/ Risk reduction
/ Science
/ Science (multidisciplinary)
/ Transplantation
2021
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
An omics-based framework for assessing the health risk of antimicrobial resistance genes
by
Gillings, Michael R.
, Zhao, Shijie
, Dai, Chengzhen L.
, Hanage, William P.
, Alm, Eric J.
, van Loosdrecht, Mark C. M.
, Gaston, Jeffry M.
, Poyet, Mathilde
, Yin, Xiaole
, Topp, Edward
, Li, Li-Guan
, Moniz, Katya
, Tiedje, James M.
, Zhang, Tong
, Zhang, An-Ni
, Groussin, Mathieu
in
45/41
/ 45/47
/ 631/326/1762
/ 631/326/22/1434
/ 631/326/2565/2134
/ Antibiotic resistance
/ Antibiotics
/ Antimicrobial agents
/ Antimicrobial resistance
/ Drug resistance
/ Enrichment
/ Evaluation
/ Fecal microflora
/ Genes
/ Genomes
/ Health risks
/ Humanities and Social Sciences
/ Intestinal microflora
/ Microbiomes
/ Microbiota
/ Mobility
/ multidisciplinary
/ Pathogenicity
/ Pathogens
/ Plasmids
/ Public health
/ Risk management
/ Risk reduction
/ Science
/ Science (multidisciplinary)
/ Transplantation
2021
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
An omics-based framework for assessing the health risk of antimicrobial resistance genes
Journal Article
An omics-based framework for assessing the health risk of antimicrobial resistance genes
2021
Request Book From Autostore
and Choose the Collection Method
Overview
Antibiotic resistance genes (ARGs) are widespread among bacteria. However, not all ARGs pose serious threats to public health, highlighting the importance of identifying those that are high-risk. Here, we developed an ‘omics-based’ framework to evaluate ARG risk considering human-associated-enrichment, gene mobility, and host pathogenicity. Our framework classifies human-associated, mobile ARGs (3.6% of all ARGs) as the highest risk, which we further differentiate as ‘current threats’ (Rank I; 3%) - already present among pathogens - and ‘future threats’ (Rank II; 0.6%) - novel resistance emerging from non-pathogens. Our framework identified 73 ‘current threat’ ARG families. Of these, 35 were among the 37 high-risk ARGs proposed by the World Health Organization and other literature; the remaining 38 were significantly enriched in hospital plasmids. By evaluating all pathogen genomes released since framework construction, we confirmed that ARGs that recently transferred into pathogens were significantly enriched in Rank II (‘future threats’). Lastly, we applied the framework to gut microbiome genomes from fecal microbiota transplantation donors. We found that although ARGs were widespread (73% of genomes), only 8.9% of genomes contained high-risk ARGs. Our framework provides an easy-to-implement approach to identify current and future antimicrobial resistance threats, with potential clinical applications including reducing risk of microbiome-based interventions.
Antibiotic resistance genes are common but not all are of high risk to human health. Here, the authors develop an omics-based framework for ranking genes by risk that incorporates level of enrichment in human associated environments, gene mobility, and host pathogenicity.
This website uses cookies to ensure you get the best experience on our website.