Evidence map›Paper›PMID 38949705›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Monitoring Live Mycobacteria in Real-Time Using a Microfluidic Acoustic-Raman Platform.

Mingzhou Chen, Vincent Baron, Björn Hammarström, Robert J H Hammond, Peter Glynne-Jones, Stephen H Gillespie, Kishan Dholakia

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Mingzhou ChenSchool of Physics, University of St Andrews, St Andrews, UK.
Vincent BaronDivision of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, UK.
Björn HammarströmBiophysics, KTH Royal Institute of Technology, Stockholm, Sweden.
Robert J H HammondDivision of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, UK.
Peter Glynne-JonesFaculty of Engineering and Physical Sciences, University of Southampton, Southampton, UK.
Stephen H GillespieDivision of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, UK.
Kishan DholakiaSchool of Physics, University of St Andrews, St Andrews, UK. kishan.dholakia@adelaide.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) is the most common cause of death from an infectious disease. Although treatment has been available for more than 70 years, it still takes too long and many patients default risking relapse and the emergence of resistance. It is known that lipid-rich, phenotypically antibiotic-tolerant, bacteria are more resistant to antibiotics and may be responsible for relapse necessitating extended therapy. Using a microfluidic system that acoustically traps live mycobacteria, M. smegmatis, a model organism for M. tuberculosis we can perform optical analysis in the form of wavelength-modulated Raman spectroscopy (WMRS) on the trapped organisms. This system can allow observations of the mycobacteria for up to 8 h. By adding antibiotics, it is possible to study the effect of antibiotics in real-time by comparing the Raman fingerprints in comparison to the unstressed condition. This microfluidic platform may be used to study any microorganism and to dynamically monitor its response to many conditions including antibiotic stress, and changes in the growth media. This opens the possibility of understanding better the stimuli that trigger the lipid-rich downregulated and phenotypically antibiotic-resistant cell state.

Indexed as

Mycobacterium smegmatisSpectrum Analysis, RamanAcousticsAnti-Bacterial AgentsHumansLab-On-A-Chip DevicesMicrofluidic Analytical TechniquesMicrofluidicsAnti-Bacterial AgentsAntibiotic resistanceDormancyRaman spectroscopyRapid diagnosisReal-time monitoringSingle cellTuberculosis

Identifiers

PMID38949705

What OpenQuestion holds

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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.