Evidence map›Paper›PMID 26243131›Full record

ReviewHuman genomics2015

Whole-genome sequencing targets drug-resistant bacterial infections.

N V Punina, N M Makridakis, M A Remnev, A F Topunov

Abstract readReview
In one paragraph

Review in Human genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Genomic characterization of drug-resistantFrontiers in tuberculosis · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Microbial Genomics: Innovative Targets and Mechanisms.Antibiotics (Basel, Switzerland) · 2023
    Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
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.

N V PuninaBach Institute of Biochemistry, Russian Academy of Science, Moscow, 119071, Russia. hin-enkelte@yandex.ru.
N M MakridakisTulane University School of Public Health and Tropical Medicine, New Orleans, LA, 70112, USA.
M A RemnevThe Federal State Unitary Enterprise All-Russia Research Institute of Automatics, Moscow, 127055, Russia.
A F TopunovBach Institute of Biochemistry, Russian Academy of Science, Moscow, 119071, Russia.

Funding

Mentoring a Cancer Genetics ProgramP20GM103518 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI DEININGER, PRESCOTT L. · 2012 to 2013
$4.3M
NIGMS NIH HHS 8 P20 GM103518NIGMS NIH HHS P20 GM103518
6 · The paper itself

Abstract

During the past two decades, the technological progress of whole-genome sequencing (WGS) had changed the fields of Environmental Microbiology and Biotechnology, and, currently, is changing the underlying principles, approaches, and fundamentals of Public Health, Epidemiology, Health Economics, and national productivity. Today's WGS technologies are able to compete with conventional techniques in cost, speed, accuracy, and resolution for day-to-day control of infectious diseases and outbreaks in clinical laboratories and in long-term epidemiological investigations. WGS gives rise to an exciting future direction for personalized Genomic Epidemiology. One of the most vital and growing public health problems is the emerging and re-emerging of multidrug-resistant (MDR) bacterial infections in the communities and healthcare settings, reinforced by a decline in antimicrobial drug discovery. In recent years, retrospective analysis provided by WGS has had a great impact on the identification and tracking of MDR microorganisms in hospitals and communities. The obtained genomic data are also important for developing novel easy-to-use diagnostic assays for clinics, as well as for antibiotic and therapeutic development at both the personal and population levels. At present, this technology has been successfully applied as an addendum to the real-time diagnostic methods currently used in clinical laboratories. However, the significance of WGS for public health may increase if: (a) unified and user-friendly bioinformatics toolsets for easy data interpretation and management are established, and (b) standards for data validation and verification are developed. Herein, we review the current and future impact of this technology on diagnosis, prevention, treatment, and control of MDR infectious bacteria in clinics and on the global scale.

Indexed as

High-Throughput Nucleotide SequencingBacteriaBacterial InfectionsDrug Resistance, BacterialDrug Resistance, MultipleGenome, BacterialHumansSequence Analysis, DNA

Identifiers

PMID26243131
PMCPMC4525730

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.