An omics-based framework for assessing the health risk of antimicrobial resistance genes.

An-Ni Zhang, Jeffry M Gaston, Chengzhen L Dai, Shijie Zhao, Mathilde Poyet, Mathieu Groussin, Xiaole Yin, Li-Guan Li, Mark C M van Loosdrecht, Edward Topp, Michael R Gillings, William P Hanage, James M Tiedje, Katya Moniz, Eric J Alm

August 2021 Nat Commun

Synopsis of Social media discussions

The discussions highlight recognition of the research's importance, with users like @OxonAndrew expressing interest in understanding its implementation, and colleagues praising the work, which reflects a positive but cautious engagement. The tone varies from curiosity to supportive acknowledgment, indicating moderate impact and interest in the development of this framework.

A
Agreement
 Moderate agreement

Most discussions show positive acknowledgment of the research, with some expressing eagerness to learn more about its applications.

I
Interest
 High level of interest

Participants demonstrate high interest, often mentioning anticipation of understanding and implementing similar frameworks.

E
Engagement
 Moderate level of engagement

While some posts express curiosity and supportive comments, others reference specific aspects or colleagues, indicating moderate engagement.

I
Impact
 Moderate level of impact

The overall tone suggests recognition of the potential significance of the framework, though no posts depict immediate wide-scale change.

Social Mentions

YouTube

4 Videos

Facebook

2 Posts

Twitter

37 Posts

Blogs

3 Articles

News

4 Articles

Metrics

Video Views

50

Total Likes

71

Extended Reach

549,510

Social Features

50

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

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Abstract Synopsis

  • Antibiotic resistance genes (ARGs) are common in bacteria, but distinguishing which ones are high-risk is crucial for public health.
  • The study developed a framework to assess ARG risk based on human association, gene mobility, and pathogenicity, identifying 3.6% of ARGs as the most concerning.
  • The framework classified 73 'current threat' ARG families, many of which align with high-risk genes identified by the WHO, and highlighted the potential risks of 'future threat' ARGs emerging from non-pathogens, particularly in hospital settings.