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New tools for the investigations of Neuro-AIDS at a molecular level: The potential role of data-mining



Bruno Orlando1, 2, Luca Giacomelli3, Francesco Chiappelli4* & André Barkhordarian4



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; *Corresponding author


Article Type




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.



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



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


Edited by

P Kangueane






Biomedical Informatics



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.