Evidence map›Paper›PMID 19923485›Full record

ArticleJournal of clinical microbiology2010

Rapid universal identification of bacterial pathogens from clinical cultures by using a novel sloppy molecular beacon melting temperature signature technique.

Soumitesh Chakravorty, Bola Aladegbami, Michele Burday, Michael Levi, Salvatore A E Marras, Darshini Shah, Hiyam H El-Hajj, Fred Russell Kramer, David Alland

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
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  6. Review
  7. Article
  8. Automatic Identification of IndividualJournal of clinical microbiology · 2019
    Article
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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

9 authors.

Soumitesh ChakravortyDivision of Infectious Disease, New Jersey Medical School, University of Medicine and Dentistry of New Jersey, 185 South Orange Avenue, Newark, NJ 07103, USA.
Bola Aladegbami
Michele Burday
Michael Levi
Salvatore A E Marras
Darshini Shah
Hiyam H El-Hajj
Fred Russell Kramer
David Alland

Funding

Detection of Select Agents in Single-Well AssaysU01AI056689 · NIAID · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI ALLAND, DAVID · 2003 to 2007
$3.9M
Molecular and functional characterization of olfactory pathways in the arbovirus vector mosquito Aedes aegyptiR01AI175490 · NIAID · PRINCETON UNIVERSITY · PI Carolyn Sarah McBride · 2023 to 2026
$1.7M
NIAID NIH HHS R01 AI175490NIAID NIH HHS U01 AI056689NIAID NIH HHS U0I-AI-056689NIAID NIH HHS U0I-AI-175490
6 · The paper itself

Abstract

A real-time PCR assay with the ability to rapidly identify all pathogenic bacteria would have widespread medical utility. Current real-time PCR technologies cannot accomplish this task due to severe limitations in multiplexing ability. To this end, we developed a new assay system which supports very high degrees of multiplexing. We developed a new class of mismatch-tolerant "sloppy" molecular beacons, modified them to provide an extended hybridization range, and developed a multiprobe, multimelting temperature (T(m)) signature approach to bacterial species identification. Sloppy molecular beacons were exceptionally versatile, and they were able to generate specific T(m) values for DNA sequences that differed by as little as one nucleotide to as many as 23 polymorphisms. Combining the T(m) values generated by several probe-target hybrids resulted in T(m) signatures that served as highly accurate sequence identifiers. Using this method, PCR assays with as few as six sloppy molecular beacons targeting bacterial 16S rRNA gene segments could reproducibly classify 119 different sequence types of pathogenic and commensal bacteria, representing 64 genera, into 111 T(m) signature types. Blinded studies using the assay to identify the bacteria present in 270 patient-derived clinical cultures including 106 patient blood cultures showed a 95 to 97% concordance with conventional methods. Importantly, no bacteria were misidentified; rather, the few species that could not be identified were classified as "indeterminate," resulting in an assay specificity of 100%. This approach enables highly multiplexed target detection using a simple PCR format that can transform infectious disease diagnostics and improve patient outcomes.

Indexed as

BacteriaBacterial InfectionsBacteriological TechniquesClinical Laboratory TechniquesDNA, BacterialDNA, RibosomalHumansMolecular Diagnostic TechniquesOligonucleotide ProbesPolymerase Chain ReactionReproducibility of ResultsRNA, Ribosomal, 16SSensitivity and SpecificityTransition TemperatureDNA, BacterialDNA, RibosomalOligonucleotide ProbesRNA, Ribosomal, 16S

Identifiers

PMID19923485
PMCPMC2812257

What OpenQuestion holds

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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.