ArticleJournal of laboratory physicians2011
Models of latent tuberculosis: their salient features, limitations, and development.
Article in Journal of laboratory physicians, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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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.
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Who cites it
15 citing papers in PubMed, 43 citations in OpenAlex.
- Pulmonary Tuberculosis in Rhesus Macaque (Macaca mulatta): A Case Report.Journal of medical primatology · 2026Article
- TNF in Human Tuberculosis: A Double-Edged Sword.Immune network · 2024Review
- Characterization of spectinamide 1599 efficacy against different mycobacterial phenotypes.Tuberculosis (Edinburgh, Scotland) · 2023Article
- Human mesenchymal stem cell based intracellular dormancy model of Mycobacterium tuberculosis.Microbes and infection · 2020Article
- Zebrafish Embryo Model for Assessment of Drug Efficacy on Mycobacterial Persisters.Antimicrobial agents and chemotherapy · 2020Article
- Article
- Modelling a Silent Epidemic: A Review of the In Vitro Models of Latent Tuberculosis.Pathogens (Basel, Switzerland) · 2018Review
- Design, Synthesis, and Characterization of N-Oxide-Containing Heterocycles with in Vivo Sterilizing Antitubercular Activity.Journal of medicinal chemistry · 2017Article
- Effects of hMASP-2 on the formation of BCG infection-induced granuloma in the lungs of BALB/c mice.Scientific reports · 2017Article
- Article
- Host-directed therapy targeting the Mycobacterium tuberculosis granuloma: a review.Seminars in immunopathology · 2016Review
- Resistance related metabolic pathways for drug target identification in Mycobacterium tuberculosis.BMC bioinformatics · 2016Article
- Expression of antimicrobial drug tolerance by attached communities of Mycobacterium tuberculosis.Pathogens and disease · 2014Article
- Latent Tuberculosis: Models, Computational Efforts and the Pathogen's Regulatory Mechanisms during Dormancy.Frontiers in bioengineering and biotechnology · 2013Review
- A new in vivo model to test anti-tuberculosis drugs using fluorescence imaging.The Journal of antimicrobial chemotherapy · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Latent tuberculosis is a subclinical condition caused by Mycobacterium tuberculosis, which affects about one-third of the population across the world. To abridge the chemotherapy of tuberculosis, it is necessary to have active drugs against latent form of M. tuberculosis. Therefore, it is imperative to devise in vitro and models of latent tuberculosis to explore potential drugs. In vitro models such as hypoxia, nutrient starvation, and multiple stresses are based on adverse conditions encountered by bacilli in granuloma. Bacilli experience oxygen depletion condition in hypoxia model, whereas the nutrient starvation model is based on deprivation of total nutrients from a culture medium. In the multiple stress model dormancy is induced by more than one type of stress. In silico mathematical models have also been developed to predict the interactions of bacilli with the host immune system and to propose structures for potential anti tuberculosis compounds. Besides these in vitro and in silico models, there are a number of in vivo animal models like mouse, guinea pig, rabbit, etc. Although they simulate human latent tuberculosis up to a certain extent but do not truly replicate human infection. All these models have their inherent merits and demerits. However, there is no perfect model for latent tuberculosis. Therefore, it is imperative to upgrade and refine existing models or develop a new model. However, battery of models will always be a better alternative to any single model as they will complement each other by overcoming their limitations.
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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.