Evidence map›Paper›PMID 28492988›Full record

ReviewMicrobial ecology2017

The Threat of Antimicrobial Resistance on the Human Microbiome.

Lauren Brinkac, Alexander Voorhies, Andres Gomez, Karen E Nelson

Abstract readReview
In one paragraph

Review in Microbial ecology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

81 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Prevalence and Antimicrobial Resistance ofAntibiotics (Basel, Switzerland) · 2025
    Article
  10. Review
  11. Article
  12. Article
  13. The Contribution of Human Antimicrobial Peptides to Fungi.International journal of molecular sciences · 2025
    Review
  14. Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review

21 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Lauren BrinkacJ. Craig Venter Institute|, Rockville, MD, 20850, USA. lbrinkac@jcvi.org.ORCID 0000-0002-7549-7280
Alexander VoorhiesJ. Craig Venter Institute|, Rockville, MD, 20850, USA.
Andres GomezJ. Craig Venter Institute|, Rockville, MD, 20850, USA.
Karen E NelsonJ. Craig Venter Institute|, Rockville, MD, 20850, USA.

Funding

The J. Craig Venter Institute Genome Center for Infectious DiseasesU19AI110819 · NIAID · J. CRAIG VENTER INSTITUTE, INC. · PI NELSON, KAREN E., NIERMAN, WILLIAM CHARLES · 2014 to 2018
$29.7M
NIAID NIH HHS U19 AI110819
6 · The paper itself

Abstract

Ubiquitous in nature, antimicrobial resistance (AMR) has existed long before the golden age of antimicrobials. While antimicrobial agents are beneficial to combat infection, their widespread use contributes to the increase in and emergence of novel resistant microbes in virtually all environmental niches. The human microbiome is an important reservoir of AMR with initial exposure occurring in early life. Once seeded with AMR, commensal organisms may be key contributors to the dissemination of resistance due to the interconnectedness of microbial communities. When acquired by pathogens however, AMR becomes a serious public health threat worldwide. Our ability to combat the threat of emerging resistance relies on accurate AMR detection methods and the development of therapeutics that function despite the presence of antimicrobial resistance.

Indexed as

Drug Resistance, MicrobialAnti-Infective AgentsHumansMicrobiotaAnti-Infective AgentsAntimicrobial resistanceHuman microbiome

Identifiers

PMID28492988
PMCPMC5654679

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.