Evidence map›Paper›PMID 31172511›Full record

ReviewClinical pharmacology and therapeutics2019

Genomic and Metagenomic Approaches for Predictive Surveillance of Emerging Pathogens and Antibiotic Resistance.

Kimberley V Sukhum, Luke Diorio-Toth, Gautam Dantas

Abstract readReview
In one paragraph

Review in Clinical pharmacology and therapeutics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Novel Antibacterial Approaches and Therapeutic Strategies.Antibiotics (Basel, Switzerland) · 2025
    Review
  5. Review
  6. Analysis of metagenomic data.Nature reviews. Methods primers · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Phage therapeutics: from promises to practices and prospectives.Applied microbiology and biotechnology · 2021
    Review
  18. Review
  19. Article
  20. Review
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

3 authors.

Kimberley V SukhumThe Edison Family Center for Genome Sciences and Systems Biology, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.
Luke Diorio-TothThe Edison Family Center for Genome Sciences and Systems Biology, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.
Gautam DantasThe Edison Family Center for Genome Sciences and Systems Biology, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.

Funding

NATIONAL RESEARCH SERVICE AWARD-MEDICAL SCIENTISTT32GM007200 · NIGMS · WASHINGTON UNIVERSITY · PI YOKOYAMA, WAYNE M. · 1985 to 2024
$59.8M
STRUCTURAL, MECHANISTIC, & EVOLUTIONARY CHARACTERIZATION OF TETRACYCLINE DESTRUCTASESU01AI123394 · NIAID · WASHINGTON UNIVERSITY · PI DANTAS, GAUTAM, WENCEWICZ, TIMOTHY ADAM · 2020 to 2025
$4.1M
Tunable therapeutic modulation of the gut microbiome by engineered probioticsR01AT009741 · NCCIH · WASHINGTON UNIVERSITY · PI DANTAS, GAUTAM, MOON, TAE SEOK · 2018 to 2022
$3.5M
PHYLOGENOMIC, TRANSCRIPTOMIC, VIROMIC, AND IMMUNOPROTEOMIC DETERMINANTS OF NECROTIZING ENTEROCOLITISR01HD092414 · NICHD · WASHINGTON UNIVERSITY · PI DANTAS, GAUTAM, TARR, PHILLIP I · 2017 to 2021
$3.0M
STRUCTURAL, MECHANISTIC, & EVOLUTIONARY CHARACTERIZATION OF TETRACYCLINE DESTRUCTASESR01AI123394 · NIAID · WASHINGTON UNIVERSITY · PI DANTAS, GAUTAM, WENCEWICZ, TIMOTHY ADAM · 2016 to 2019
$2.7M
NCCIH NIH HHS R01 AT009741NIAID NIH HHS R01 AI123394NIAID NIH HHS U01 AI123394NICHD NIH HHS R01 HD092414NIGMS NIH HHS T32 GM007200
6 · The paper itself

Abstract

Antibiotic-resistant organisms (AROs) are a major concern to public health worldwide. While antibiotics have been naturally produced by environmental bacteria for millions of years, modern widespread use of antibiotics has enriched resistance mechanisms in human-impacted bacterial environments. Antibiotic resistance genes (ARGs) continue to emerge and spread rapidly. To combat the global threat of antibiotic resistance, researchers must develop methods to rapidly characterize AROs and ARGs, monitor their spread across space and time, and identify novel ARGs and resistance pathways. We review how high-throughput sequencing-based methods can be combined with classic culture-based assays to characterize, monitor, and track AROs and ARGs. Then, we evaluate genomic and metagenomic methods for identifying ARGs and biosynthetic pathways for novel antibiotics from genomic data sets. Together, these genomic analyses can improve surveillance and prediction of emerging resistance threats and accelerate the development of new antibiotic therapies to combat resistance.

Indexed as

AnimalsAnti-Bacterial AgentsBacteriaBacteriological TechniquesDrug DiscoveryDrug Resistance, MicrobialEnvironmental MonitoringGenomicsHigh-Throughput Nucleotide SequencingHumansMetagenomeMetagenomicsPetsRNA, Ribosomal, 16SWastewaterWater SupplyAnti-Bacterial AgentsRNA, Ribosomal, 16SWastewater

Identifiers

PMID31172511
PMCPMC6692204

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.