ReviewAmerican journal of respiratory cell and molecular biology2011
Arc of a vicious circle: pathways activated by Mycobacterium tuberculosis that target the HIV-1 long terminal repeat.
Review in American journal of respiratory cell and molecular biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed, 26 citations in OpenAlex.
- Host-pathogen interactions in tuberculosis: from immunological mechanisms to translational applications.Cell insight · 2026Review
- Article
- Predictors of mortality rate among adult HIV-positive patients on antiretroviral therapy in Metema Hospital, Northwest Ethiopia: a retrospective follow-up study.AIDS research and therapy · 2021Article
- Impact of HIV status and predictors of successful treatment outcomes among tuberculosis patients: A six-year retrospective cohort study.Annals of medicine and surgery (2012) · 2020Article
- TheFuture virology · 2020Review
- Cytoplasmic RNA Sensor Pathways and Nitazoxanide Broadly Inhibit Intracellular Mycobacterium tuberculosis Growth.iScience · 2019Article
- Gp120 binding with DC-SIGN induces reactivation of HIV-1 provirus via the NF-κB signaling pathway.Acta biochimica et biophysica Sinica · 2016Article
- Article
- Article
- A Role for IFITM Proteins in Restriction of Mycobacterium tuberculosis Infection.Cell reports · 2015Article
- Multifaceted Impact of Host C-C Chemokine CCL2 in the Immuno-Pathogenesis of HIV-1/M. tuberculosis Co-Infection.Frontiers in immunology · 2013Review
- TB treatment outcomes among TB-HIV co-infections in Karnataka, India: how do these compare with non-HIV tuberculosis outcomes in the province?BMC public health · 2013Article
- Immunohistological characterization of spinal TB granulomas from HIV-negative and -positive patients.Tuberculosis (Edinburgh, Scotland) · 2013Article
- HIV infection disrupts the sympatric host-pathogen relationship in human tuberculosis.PLoS genetics · 2013Article
- Regulation of Mycobacterium tuberculosis-dependent HIV-1 transcription reveals a new role for NFAT5 in the toll-like receptor pathway.PLoS pathogens · 2012Article
- Article
- Human immunodeficiency virus and leprosy coinfection: challenges in resource-limited setups.Case reports in medicine · 2012Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
In this review, we examine how a subset of signal transduction cascades initiated by Mycobacterium tuberculosis (Mtb) infection modulates transcription mediated by the human immunodeficiency virus type 1 long terminal repeat (HIV-1 LTR). We describe two distinct phases of signaling that target transcription factors known to bind the HIV-1 LTR, and thus drive viral transcription and replication, in cells of the Mtb-infected host. First, Mtb-derived molecules, including cell wall components and DNA, interact with a number of host pattern recognition receptors. Second, cytokines and chemokines secreted in response to Mtb infection initiate signal transduction cascades through their cognate receptors. Given the variation in cell wall components among distinct clinical Mtb strains, the initial pattern recognition receptor interaction leading to direct LTR activation and differential cytokine and chemokine production is likely to be an important aspect of Mtb strain-specific regulation of HIV-1 transcription and replication. Improved understanding of these molecular mechanisms in the context of bacterial and host genetics should provide key insights into the accelerated viral replication and disease progression characteristic of HIV/TB coinfection.
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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.