Title

Authors

Affiliation

¹Laboratories of Biophysics and Nanobiotechnology, Department of Medical Science, University of Genova, Italy; ²Department of Surgery, University of Pisa, Italy; ³Free researcher, Milan, Italy; ⁴UCLA School of Dentistry, CHS63-090; Los Angeles CA, 90095-1668

Email

fchiappelli@dentistry.ucla.edu; *Corresponding author

Article Type

Review

Date

Received April 24, 2013; Accepted April 30, 2013; Published July 12, 2013

Cognitive impairment represents the most significant and devastating neurological complication associated with HIV infection. Despite recent advances in our knowledge of the clinical features, pathogenesis, and molecular aspects of HIV-related dementia, current diagnostic strategies are associated with significant limitations. It has been suggested that the use of some biomarkers may assist researchers and clinicians in predicting the onset of the disease process and in evaluating the effects of new therapies. However, the large number of chemicals and metabolic pathways involved in the pathogenesis of neurodegeneration, warrants the development of novel approaches to integrate this huge amount of data. The contribution of theoretical disciplines, such as bioinformatics and data-mining, may be useful for testing new hypotheses in diagnosis and patient-centered treatment interventions.

Keywords

Data Mining, Computational Biology, HIV, Dementia, Translational effectiveness.

Citation

Orlando et al. Bioinformation 9(12): 656-658 (2013)

Edited by

P Kangueane

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.