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Animal models on HTLV-1 and related viruses: what did we learn?

Overview of attention for article published in Frontiers in Microbiology, January 2012
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Title
Animal models on HTLV-1 and related viruses: what did we learn?
Published in
Frontiers in Microbiology, January 2012
DOI 10.3389/fmicb.2012.00333
Pubmed ID
Authors

Hiba El Hajj, Rihab Nasr, Youmna Kfoury, Zeina Dassouki, Roudaina Nasser, Ghada Kchour, Olivier Hermine, Hugues de Thé, Ali Bazarbachi

Abstract

Retroviruses are associated with a wide variety of diseases, including immunological, neurological disorders, and different forms of cancer. Among retroviruses, Oncovirinae regroup according to their genetic structure and sequence, several related viruses such as human T-cell lymphotropic viruses types 1 and 2 (HTLV-1 and HTLV-2), simian T cell lymphotropic viruses types 1 and 2 (STLV-1 and STLV-2), and bovine leukemia virus (BLV). As in many diseases, animal models provide a useful tool for the studies of pathogenesis, treatment, and prevention. In the current review, an overview on different animal models used in the study of these viruses will be provided. A specific attention will be given to the HTLV-1 virus which is the causative agent of adult T-cell leukemia/lymphoma (ATL) but also of a number of inflammatory diseases regrouping the HTLV-associated myelopathy/tropical spastic paraparesis (HAM/TSP), infective dermatitis and some lung inflammatory diseases. Among these models, rabbits, monkeys but also rats provide an excellent in vivo tool for early HTLV-1 viral infection and transmission as well as the induced host immune response against the virus. But ideally, mice remain the most efficient method of studying human afflictions. Genetically altered mice including both transgenic and knockout mice, offer important models to test the role of specific viral and host genes in the development of HTLV-1-associated leukemia. The development of different strains of immunodeficient mice strains (SCID, NOD, and NOG SCID mice) provide a useful and rapid tool of humanized and xenografted mice models, to test new drugs and targeted therapy against HTLV-1-associated leukemia, to identify leukemia stem cells candidates but also to study the innate immunity mediated by the virus. All together, these animal models have revolutionized the biology of retroviruses, their manipulation of host genes and more importantly the potential ways to either prevent their infection or to treat their associated diseases.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 2 3%
United States 1 1%
Brazil 1 1%
Unknown 70 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 19%
Researcher 13 18%
Student > Master 12 16%
Student > Bachelor 9 12%
Student > Postgraduate 6 8%
Other 11 15%
Unknown 9 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 35%
Medicine and Dentistry 14 19%
Immunology and Microbiology 9 12%
Biochemistry, Genetics and Molecular Biology 6 8%
Veterinary Science and Veterinary Medicine 6 8%
Other 3 4%
Unknown 10 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 October 2012.
All research outputs
#17,665,425
of 22,678,224 outputs
Outputs from Frontiers in Microbiology
#16,907
of 24,476 outputs
Outputs of similar age
#191,325
of 244,101 outputs
Outputs of similar age from Frontiers in Microbiology
#176
of 317 outputs
Altmetric has tracked 22,678,224 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,476 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 244,101 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 317 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.