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HIV–Mycobacterium tuberculosis co‐infection: a ‘danger‐couple model’ of disease pathogenesis

Overview of attention for article published in Pathogens and Disease, November 2013
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Title
HIV–Mycobacterium tuberculosis co‐infection: a ‘danger‐couple model’ of disease pathogenesis
Published in
Pathogens and Disease, November 2013
DOI 10.1111/2049-632x.12108
Pubmed ID
Authors

Esaki M. Shankar, Ramachandran Vignesh, Rada Ellegård, Muttiah Barathan, Yee K. Chong, M. Kahar Bador, Devi V. Rukumani, Negar S. Sabet, Adeeba Kamarulzaman, Vijayakumar Velu, Marie Larsson

Abstract

Tuberculosis (TB) and human immunodeficiency virus (HIV) infection interfere and impact the pathogenesis phenomena of each other. Owing to atypical clinical presentations and diagnostic complications, HIV/TB co-infection continues to be a menace for healthcare providers. Although the increased access to highly active antiretroviral therapy (HAART) has led to a reduction in HIV-associated opportunistic infections and mortality, the concurrent management of HIV/TB co-infection remains a challenge owing to adverse effects, complex drug interactions, overlapping toxicities and tuberculosis -associated immune reconstitution inflammatory syndrome. Several hypotheses have been put forward for the exacerbation of tuberculosis by HIV and vice versa supported by immunological studies. Discussion on the mechanisms produced by infectious cofactors with impact on disease pathology could shed light on how to design potential interventions that could decelerate disease progression. With no vaccine for HIV and lack of an effective vaccine for tuberculosis, it is essential to design strategies against HIV-TB co-infection.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 232 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Netherlands 1 <1%
South Africa 1 <1%
Unknown 229 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 43 19%
Student > Bachelor 38 16%
Student > Ph. D. Student 28 12%
Researcher 20 9%
Student > Doctoral Student 17 7%
Other 37 16%
Unknown 49 21%
Readers by discipline Count As %
Medicine and Dentistry 65 28%
Agricultural and Biological Sciences 36 16%
Immunology and Microbiology 22 9%
Biochemistry, Genetics and Molecular Biology 14 6%
Nursing and Health Professions 10 4%
Other 32 14%
Unknown 53 23%