Evidence map›Paper›PMID 25693161›Full record

ArticlePloS one2015

A high-throughput cidality screen for Mycobacterium tuberculosis.

Parvinder Kaur, Anirban Ghosh, Ramya Vadageri Krishnamurthy, Deepa Gagwani Bhattacharjee, Vijayashree Achar, Santanu Datta, Shridhar Narayanan, Anand Anbarasu, Sudha Ramaiah

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Parvinder KaurAstraZeneca India Private Limited, Bangalore, Karnataka, India.
Anirban GhoshDepartment of Microbial and Molecular Systems, KU Leuven, Kasteelpark, Arenberg 20, 3001 Leuven, Belgium.
Ramya Vadageri KrishnamurthyGangagen Biotech Private Limited, Bangalore, Karnataka, India.
Deepa Gagwani BhattacharjeeAstraZeneca India Private Limited, Bangalore, Karnataka, India.
Vijayashree AcharAstraZeneca India Private Limited, Bangalore, Karnataka, India.
Santanu DattaCellworks India, Bangalore, Karnataka, India.
Shridhar NarayananAstraZeneca India Private Limited, Bangalore, Karnataka, India.
Anand AnbarasuMedical & Biological Computing Laboratory, School of Biosciences & Technology, VIT University, Vellore, Tamil Nadu, India.
Sudha RamaiahMedical & Biological Computing Laboratory, School of Biosciences & Technology, VIT University, Vellore, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exposure to Mycobacterium tuberculosis (Mtb) aerosols is a major threat to tuberculosis (TB) researchers, even in bio-safety level-3 (BSL-3) facilities. Automation and high-throughput screens (HTS) in BSL3 facilities are essential for minimizing manual aerosol-generating interventions and facilitating TB research. In the present study, we report the development and validation of a high-throughput, 24-well 'spot-assay' for selecting bactericidal compounds against Mtb. The bactericidal screen concept was first validated in the fast-growing surrogate Mycobacterium smegmatis (Msm) and subsequently confirmed in Mtb using the following reference anti-tubercular drugs: rifampicin, isoniazid, ofloxacin and ethambutol (RIOE, acting on different targets). The potential use of the spot-assay to select bactericidal compounds from a large library was confirmed by screening on Mtb, with parallel plating by the conventional gold standard method (correlation, r2 = 0.808). An automated spot-assay further enabled an MBC90 determination on resistant and sensitive Mtb clinical isolates. The implementation of the spot-assay in kinetic screens to enumerate residual Mtb after either genetic silencing (anti-sense RNA, AS-RNA) or chemical inhibition corroborated its ability to detect cidality. This relatively simple, economical and quantitative HTS considerably minimized the bio-hazard risk and enabled the selection of novel vulnerable Mtb targets and mycobactericidal compounds. Thus, spot-assays have great potential to impact the TB drug discovery process.

Indexed as

Antitubercular AgentsDrug Evaluation, PreclinicalHigh-Throughput Screening AssaysMicrobial Sensitivity TestsMycobacterium tuberculosisReference StandardsSafetyAntitubercular Agents

Identifiers

PMID25693161
PMCPMC4333287

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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.