ReviewMicrobiologyOpen2018
Quantifying intracellular Mycobacterium tuberculosis: An essential issue for in vitro assays.
Review in MicrobiologyOpen, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed.
- Evaluation of the innate immune response of caprine neutrophils against Mycobacterium avium subspecies paratuberculosis in vitro.Veterinary research · 2023Article
- Cell-Penetrating Antimicrobial Peptides with Anti-Infective Activity against Intracellular Pathogens.Antibiotics (Basel, Switzerland) · 2022Review
- Intracellular Accumulation of Novel and Clinically Used TB Drugs Potentiates Intracellular Synergy.Microbiology spectrum · 2021Article
- Pathogenic Effects of M. tuberculosis-Specific Proteins ESAT-6 and CFP-10 in Macrophage Culture and in 3D-Granulemogenesis Model In Vitro.Bulletin of experimental biology and medicine · 2021Article
- Mycobacteriophages as Potential Therapeutic Agents against Drug-Resistant Tuberculosis.International journal of molecular sciences · 2021Review
- Three-dimensional in situ morphometrics of Mycobacterium tuberculosis infection within lesions by optical mesoscopy and novel acid-fast staining.Scientific reports · 2020Article
- License to Kill: When iNKT Cells Are Granted the Use of Lethal Cytotoxicity.International journal of molecular sciences · 2020Review
- Studying Effects of Cigarette Smoke on Pseudomonas Infection in Lung Epithelial Cells.Journal of visualized experiments : JoVE · 2020Article
- Article
- Quantifying intracellular Mycobacterium tuberculosis: An essential issue for in vitro assays.MicrobiologyOpen · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many studies about intracellular microorganisms which are important regarding diseases affecting public health have been focused on the recognition of host-pathogen interactions, thereby ascertaining the mechanisms by which the pathogen invades a cell and makes it become its host. Such knowledge enables understanding the immunological response triggered by these interactions for obtaining useful information for developing vaccines and drugs. Quantitative cell infection assay protocols are indispensable regarding studies involving Mycobacterium tuberculosis, which takes the lives of more than 2 million people worldwide every year; however, sometimes these are limited by the pathogen's slow growth. Concerning such limitation, a detailed review is presented here regarding the different methods for quantifying and differentiating an intracellular pathogen, the importance of mycobacteria aggregate dissociation and multiplicity of infection (MOI) in infection assays. The methods' differences, advantages, and disadvantages are discussed regarding intra and extracellular bacteria (on cell surface) differentiation, current problems are outlined, as are the solutions provided using fluorophores and projections made concerning quantitative infection assays.
Indexed as
Identifiers
What OpenQuestion holds
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.