Evidence map›Paper›PMID 22474362›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2012

RNA signatures allow rapid identification of pathogens and antibiotic susceptibilities.

Amy K Barczak, James E Gomez, Benjamin B Kaufmann, Ella R Hinson, Lisa Cosimi, Mark L Borowsky, Andrew B Onderdonk, Sarah A Stanley, Devinder Kaur, Kevin F Bryant and 3 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing 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

67 citing papers in PubMed.

  1. Article
  2. Metabolism-Based Biomarkers for Rapid Phenotypic Antibiotic Susceptibility Testing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Rapid, antibiotic incubation-free determination of tuberculosis drug resistance using machine learning and Raman spectroscopy.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  7. Transcriptomic responses to antibiotic exposure inAntimicrobial agents and chemotherapy · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  20. Review

7 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

13 authors.

Amy K BarczakThe Broad Institute, Cambridge, MA 02142, USA.
James E Gomez
Benjamin B Kaufmann
Ella R Hinson
Lisa Cosimi
Mark L Borowsky
Andrew B Onderdonk
Sarah A Stanley
Devinder Kaur
Kevin F Bryant
David M Knipe
Alexander Sloutsky
Deborah T Hung

Funding

Treatments for Nipah Virus InfectionU54AI057159 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WHELAN, SEAN PJ · 2003 to 2013
$113.7M
INFECTIOUS DISEASE AND BASIC MICROBIOLOGICAL MECHANISMST32AI007061 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Marcia B Goldberg · 1985 to 2026
$12.1M
Genetics of Herpesvirus TransformationR01AI063106 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI KNIPE, DAVID M. · 2004 to 2013
$3.8M
Chemical genetic approach to cellular mechanisms of M. tuberculosis virulence.K08AI080944 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI BARCZAK, AMY K · 2010 to 2014
$685k
Regulation of DNA Metabolism During Herpes Simplex Virus-1 InfectionF32AI081477 · NIAID · HARVARD MEDICAL SCHOOL · PI BRYANT, KEVIN FRANCIS · 2009 to 2010
$102k
NIAID NIH HHS AI 063106NIAID NIH HHS AI 081477NIAID NIH HHS F32 AI081477NIAID NIH HHS K08 AI080944NIAID NIH HHS R01 AI063106NIAID NIH HHS T32 AI007061NIAID NIH HHS U54 AI057159
6 · The paper itself

Abstract

With rising rates of drug-resistant infections, there is a need for diagnostic methods that rapidly can detect the presence of pathogens and reveal their susceptibility to antibiotics. Here we propose an approach to diagnosing the presence and drug-susceptibility of infectious diseases based on direct detection of RNA from clinical samples. We demonstrate that species-specific RNA signatures can be used to identify a broad spectrum of infectious agents, including bacteria, viruses, yeast, and parasites. Moreover, we show that the behavior of a small set of bacterial transcripts after a brief antibiotic pulse can rapidly differentiate drug-susceptible and -resistant organisms and that these measurements can be made directly from clinical materials. Thus, transcriptional signatures could form the basis of a uniform diagnostic platform applicable across a broad range of infectious agents.

Indexed as

Anti-Bacterial AgentsBacteriaCells, CulturedErythrocytesFungiHEK293 CellsHeLa CellsHerpesvirus 1, HumanHerpesvirus 2, HumanHumansMicrobial Sensitivity TestsPlasmodium falciparumReproducibility of ResultsRNASpecies SpecificityUrineAnti-Bacterial AgentsRNA

Identifiers

PMID22474362
PMCPMC3341018

What OpenQuestion holds

Textmetadata
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.