ReviewCurrent opinion in biotechnology2010
Tuberculosis: global approaches to a global disease.
Review in Current opinion in biotechnology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- Increased susceptibility to pneumonia due to tumour necrosis factor inhibition and prospective immune system rescueFrontiers in cellular and infection microbiology · 2022Review
- Characterization of Two New Multidrug-Resistant Strains ofAntibiotics (Basel, Switzerland) · 2019Article
- A review of computational and mathematical modeling contributions to our understanding of Mycobacterium tuberculosis within-host infection and treatment.Current opinion in systems biology · 2017Article
- Local Inflammation, Dissemination and Coalescence of Lesions Are Key for the Progression toward Active Tuberculosis: The Bubble Model.Frontiers in microbiology · 2016Article
- Modeling the potential impact of host population survival on the evolution of M. tuberculosis latency.PloS one · 2014Article
- The discovery and identification of a candidate proteomic biomarker of active tuberculosis.BMC infectious diseases · 2013Article
- 21st century natural product research and drug development and traditional medicines.Natural product reports · 2013Review
- SOCS proteins in infectious diseases of mammals.Veterinary immunology and immunopathology · 2013Review
- Single nucleotide polymorphisms in Mycobacterium tuberculosis and the need for a curated database.Tuberculosis (Edinburgh, Scotland) · 2013Review
- Mycobacterium tuberculosis Strains Are Differentially Recognized by TLRs with an Impact on the Immune Response.PloS one · 2013Article
- Latent Tuberculosis: Models, Computational Efforts and the Pathogen's Regulatory Mechanisms during Dormancy.Frontiers in bioengineering and biotechnology · 2013Review
- Differential arabinan capping of lipoarabinomannan modulates innate immune responses and impacts T helper cell differentiation.The Journal of biological chemistry · 2012Article
- The tuberculous granuloma: an unsuccessful host defence mechanism providing a safety shelter for the bacteria?Clinical & developmental immunology · 2012Review
- Modeling innate immune response to early Mycobacterium infection.Computational and mathematical methods in medicine · 2012Article
- NF-κB Signaling Dynamics Play a Key Role in Infection Control in Tuberculosis.Frontiers in physiology · 2012Article
- Role of P27 -P55 operon from Mycobacterium tuberculosis in the resistance to toxic compounds.BMC infectious diseases · 2011Article
- Multiscale computational modeling reveals a critical role for TNF-α receptor 1 dynamics in tuberculosis granuloma formation.Journal of immunology (Baltimore, Md. : 1950) · 2011Article
- Systems biology approaches to understanding mycobacterial survival mechanisms.Drug discovery today. Disease mechanisms · 2010Article
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.
Funding
Abstract
Mycobacterium tuberculosis is a remarkably successful human pathogen. The interaction with the human host is complex and much remains unknown. Recent advances in systems biology have allowed the integration of data from humans and animal models into computational approaches. For example, mathematical models provide a platform for in silico manipulation of host-pathogen interactions to gain insight into this infection across temporal and biologic scales. Here, we review recent studies on global approaches toward identifying comprehensive responses of both host and bacillus during infection, and the potential for incorporation of these data into many types of useful computational systems. Systems biology approaches provide a unique opportunity to study interventions that may improve therapy and vaccines against this major killer.
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.