Evidence map›Paper›PMID 35208914›Full record

ArticleMicroorganisms2022

Culture-Free Enumeration of

Dimitrios Evangelopoulos, Carolyn M Shoen, Isobella Honeyborne, Simon Clark, Ann Williams, Galina V Mukamolova, Michael H Cynamon, Timothy D McHugh

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Microorganisms, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07018076 (Candidate Clinical Correlate of Prognostic Outcome for TB Study), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 22% of its field
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.

NCT07018076 recruitingnot on this mapstarted 2025, after this paper: background citation

Candidate Clinical Correlate of Prognostic Outcome for TB Study

TypeobservationalSponsorUniversity of California, San FranciscoRan2025 to 2027Enrolled750ConditionsTuberculosisArmsRS ratio, Blood-based host immune response assays
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Clinically encountered growth phenotypes of tuberculosis-causing bacilli and theirFrontiers in cellular and infection microbiology · 2022
    Review
  6. 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

8 authors at 5 institutions in 2 countries.

Dimitrios EvangelopoulosDepartment of Microbial Diseases, UCL Eastman Dental Institute, University College London, London NW3 2PF, UK.ORCID 0000-0003-0472-7576
Carolyn M ShoenVeterans Administration Medical Center, Syracuse, NY 13210, USA.
Isobella HoneyborneUCL Centre for Clinical Microbiology, University College London, London NW3 2PF, UK.
Simon ClarkUK Health Security Agency, Porton Down, Salisbury SP4 OJG, UK.
Ann WilliamsUK Health Security Agency, Porton Down, Salisbury SP4 OJG, UK.
Galina V MukamolovaLeicester Tuberculosis Research Group, Department of Respiratory Sciences, University of Leicester, Leicester LE1 7RH, UK.
Michael H CynamonVeterans Administration Medical Center, Syracuse, NY 13210, USA.
Timothy D McHughUCL Centre for Clinical Microbiology, University College London, London NW3 2PF, UK.ORCID 0000-0003-4658-8594
UK Health Security Agency · GBUnited States Department of Veterans Affairs · USUniversity College London · GBEastman Dental Hospital · GBUniversity of Leicester · GB

Funding

Biotechnology and Biological Sciences Research Council BB/K000330/1
6 · The paper itself

Abstract

backgroundThe turnaround times for phenotypic tests used to monitor the bacterial load of

objectivesWe report the adaptation of our robust, culture-free assay utilising 16S ribosomal RNA, developed for sputum, to enumerate the number of bacteria present in animal tissues as a tool to improve the read-outs in preclinical drug efficacy studies.

methodsInitial assay adaptation was performed using naïve mouse lungs spiked with known quantities of

resultsWhen tested on lung tissues derived from infected mice, the MBL assay produced comparable results to the bacterial counts in solid culture (colony forming units: CFU). Notably, under specific drug treatments, the MBL assay was able to detect a significantly higher number of

conclusionsThe MBL assay can enumerate the bacterial load in animal tissues in real time without the need to wait for extended periods for cultures to grow. The readout correlates well with CFUs. Importantly, we have shown that the MBL is able to measure specific populations of bacteria not cultured on solid agar. The adaptation of this assay for preclinical studies has the potential to decrease the readout time of data acquisition from animal experiments and could represent a valuable tool for tuberculosis drug discovery and development.

Indexed as

16S ribosomal RNAbacterial loadculture-free quantificationdifferentially culturable bacteriadrug combinationspreclinical drug testingrelapsetherapy monitoringtuberculosis

Identifiers

PMID35208914
PMCPMC8876813
OpenAlexW4213145225

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.