Evidence map›Paper›PMID 32353041›Full record

ArticlePloS one2020

A qPCR assay for Bordetella pertussis cells that enumerates both live and dead bacteria.

Stacy Ramkissoon, Iain MacArthur, Muktar Ibrahim, Hans de Graaf, Robert C Read, Andrew Preston

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Detection ofFrontiers in veterinary science · 2022
    Article
  2. Article
  3. 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

6 authors.

Stacy RamkissoonMilner Centre for Evolution, University of Bath, Bath, United Kingdom.ORCID 0000-0002-9829-4531
Iain MacArthurMilner Centre for Evolution, University of Bath, Bath, United Kingdom.
Muktar IbrahimFaculty of Medicine and Institute for Life Sciences, University of Southampton, Southampton, United Kingdom.
Hans de GraafFaculty of Medicine and Institute for Life Sciences, University of Southampton, Southampton, United Kingdom.
Robert C ReadFaculty of Medicine and Institute for Life Sciences, University of Southampton, Southampton, United Kingdom.ORCID 0000-0002-4297-6728
Andrew PrestonMilner Centre for Evolution, University of Bath, Bath, United Kingdom.

Funding

Medical Research Council MR/N013204/1Medical Research Council MR/N026993/1
6 · The paper itself

Abstract

Bordetella pertussis is the causative agent of whooping cough, commonly referred to as pertussis. Although the incidence of pertussis was reduced through vaccination, during the last thirty years it has returned to high levels in a number of countries. This resurgence has been linked to the switch from the use of whole-cell to acellular vaccines. Protection afforded by acellular vaccines appears to be short-lived compared to that afforded by whole cell vaccines. In order to inform future vaccine improvement by identifying immune correlates of protection, a human challenge model of B. pertussis colonisation has been developed. Accurate measurement of colonisation status in this model has required development of a qPCR-based assay to enumerate B. pertussis in samples that distinguishes between viable and dead bacteria. Here we report the development of this assay and its performance in the quantification of B. pertussis from human challenge model samples. This assay has future utility in diagnostic labs and in research where a quantitative measure of both B. pertussis number and viability is required.

Indexed as

Bordetella pertussisHumansMolecular Diagnostic TechniquesPolymerase Chain ReactionSensitivity and SpecificityTHP-1 Cells

Identifiers

PMID32353041
PMCPMC7192480

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.