Orlando Bruno, Giacomelli Luca, Chiappelli Francesco, Barkhordarian André
Laboratories of Biophysics and Nanobiotechnology, Department of Medical Science, University of Genova, Italy ; Department of Surgery, University of Pisa, Italy.
Bioinformation. 2013 Jul 12;9(12):656-8. doi: 10.6026/97320630009656. Print 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.
认知障碍是与HIV感染相关的最严重、最具破坏性的神经并发症。尽管我们对HIV相关痴呆的临床特征、发病机制和分子层面的认识最近有所进展，但目前的诊断策略仍存在重大局限性。有人提出，使用某些生物标志物可能有助于研究人员和临床医生预测疾病进程的发作，并评估新疗法的效果。然而，神经退行性变发病机制中涉及的大量化学物质和代谢途径，需要开发新的方法来整合这些海量数据。生物信息学和数据挖掘等理论学科的贡献，可能有助于检验诊断和以患者为中心的治疗干预中的新假设。
