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Virus against virus (VIVI): a potential solution against HIV/AIDS

Overview of attention for article published in International Archives of Medicine, May 2014
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Title
Virus against virus (VIVI): a potential solution against HIV/AIDS
Published in
International Archives of Medicine, May 2014
DOI 10.1186/1755-7682-7-19
Pubmed ID
Authors

Asfandyar Sheikh, Muhammad Farhan Khaliq, Muhammad Muslim Noorani

Abstract

Most therapeutic regimens are aimed at the use of pharmacologic agents or the induction of immunological response against the pathological agent. However, these methods tend to be insufficient for the management of some of the most debilitating infectious diseases. Here we present a novel therapeutic approach. It involves voluntary super-infection of a subject having HIV/AIDS with a virus (GBV-C), which to date has not been shown to be responsible for any pathology. It has been shown to counter, suppress or eradicate the agent responsible for the severe disease. Several studies demonstrate the role of different micro-organisms in influencing the growth of other pathogens in the human body. This hypothesis requires meticulous testing before its implementation on humans. If the trials are successful, the implications for this hypothesis are promising considering the compliance issues and adverse effects associated with current standard of HIV care.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 6%
Unknown 15 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 44%
Other 2 13%
Student > Doctoral Student 2 13%
Lecturer 1 6%
Professor > Associate Professor 1 6%
Other 1 6%
Unknown 2 13%
Readers by discipline Count As %
Medicine and Dentistry 5 31%
Agricultural and Biological Sciences 3 19%
Nursing and Health Professions 2 13%
Biochemistry, Genetics and Molecular Biology 1 6%
Social Sciences 1 6%
Other 1 6%
Unknown 3 19%