Evidence map›Paper›PMID 40067825›Full record

ArticleSTAR protocols2025

Protocol to quantify bacterial burden in time-kill assays using colony-forming units and most probable number readouts for Mycobacterium tuberculosis.

Marie Sylvianne Rabodoarivelo, Eik Hoffmann, Cyril Gaudin, Diana Angélica Aguilar-Ayala, Jordana Galizia, Lindsay Sonnenkalb, Michael Dal Molin, Laura Cioetto-Mazzabò, Giulia Degiacomi, Deborah Recchia and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in STAR protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Antimicrobial agents and chemotherapy · 2026
    Article
  2. Review
  3. Article
  4. Frontiers in microbiology · 2026
    Article
  5. Article
  6. Phenotypic Characterization ofAntibiotics (Basel, Switzerland) · 2025
    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

16 authors.

Marie Sylvianne RabodoariveloDepartment of Microbiology, Pediatrics, Radiology and Public Health, University of Zaragoza, Zaragoza, Spain. Electronic address: mrabodoarivelo@unizar.es.
Eik HoffmannCenter for Infection and Immunity of Lille, Institut Pasteur de Lille, Lille, France.
Cyril GaudinCenter for Infection and Immunity of Lille, Institut Pasteur de Lille, Lille, France.
Diana Angélica Aguilar-AyalaDepartment of Microbiology, Pediatrics, Radiology and Public Health, University of Zaragoza, Zaragoza, Spain.
Jordana GaliziaDepartment of Microbiology, Pediatrics, Radiology and Public Health, University of Zaragoza, Zaragoza, Spain.
Lindsay SonnenkalbMolecular and Experimental Mycobacteriology, Research Center Borstel Leibniz Lung Center, Borstel, Germany.
Michael Dal MolinDepartment I of Internal Medicine, Division of Infectious Diseases, University of Cologne, Cologne, Germany; Faculty of Medicine, Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany.
Laura Cioetto-MazzabòDepartment of Molecular Medicine, University of Padova, Padova, Italy.
Giulia DegiacomiDepartment of Biology and Biotechnology Lazzaro Spallanzani, University of Pavia, Pavia, Italy.
Deborah RecchiaDepartment of Biology and Biotechnology Lazzaro Spallanzani, University of Pavia, Pavia, Italy.
Jan RybnikerDepartment I of Internal Medicine, Division of Infectious Diseases, University of Cologne, Cologne, Germany; Faculty of Medicine, Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany; German Center for Infection Research (DZIF), Partner Site Bonn-Cologne, Cologne, Germany.
Riccardo ManganelliDepartment of Molecular Medicine, University of Padova, Padova, Italy.
Maria Rosalia PascaDepartment of Biology and Biotechnology Lazzaro Spallanzani, University of Pavia, Pavia, Italy.
Santiago Ramón-GarcíaDepartment of Microbiology, Pediatrics, Radiology and Public Health, University of Zaragoza, Zaragoza, Spain; CIBER Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain; Research & Development Agency of Aragon Foundation (Fundación ARAID), Zaragoza, Spain.
Ainhoa LucíaDepartment of Microbiology, Pediatrics, Radiology and Public Health, University of Zaragoza, Zaragoza, Spain; CIBER Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain. Electronic address: ainhoalq@unizar.es.
ERA4TB consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we present a protocol to perform a time-kill assay (TKA) to quantify bacterial burden at multiple time points using colony-forming units and most probable number readouts simultaneously. We describe steps for preparing inoculum, experimental conditions, and sampling bacterial counts. We then detail procedures for quantification and analysis. TKAs provide longitudinal data reflecting the dynamics of the antibiotic effect over time against a planktonic culture and quantify the concentration-effect relationship. For complete details on the use and execution of this protocol, please refer to Van Wijk et al.

Indexed as

Bacterial LoadColony-Forming Units AssayMycobacterium tuberculosisColony Count, MicrobialHumansMicrobial Sensitivity TestsCell BiologyClinical ProtocolHigh Throughput ScreeningMicrobiologyMolecular Biology

Identifiers

PMID40067825
PMCPMC11931380

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.