AIDS patients often suffer from cognitive impairment, including distractibility, delirium, and dementia. In fact, global brain atrophy was recognized from MRI images in HIV-associated neurocognitive disorders. A number of studies have shown that a complex network of inflammatory molecules including cytokines, chemokines, growth factors, and excitatory compounds is associated with brain inflammation and damage in HIV-infected patients. We believe that that the role of those molecules should not be studied per se but only within its network of interactions. To this end, genomics and proteomics could be applied to reach a deeper understanding of the molecular mechanisms underlying complex multifactorial disorders. Of note, bioinformatics and data mining can become an added value in this context, since they help clarify the pathophysiology of complex diseases by analyzing complex networks of molecular interactions. In this chapter, we discuss the potential role of bioinformatics and data mining in this setting.

Molecular Mechanisms of Cognitive Impairment in Patients with HIV Infection: Application of Bioinformatics and Data Mining

Roberto Eggenhöffner
2017-01-01

Abstract

AIDS patients often suffer from cognitive impairment, including distractibility, delirium, and dementia. In fact, global brain atrophy was recognized from MRI images in HIV-associated neurocognitive disorders. A number of studies have shown that a complex network of inflammatory molecules including cytokines, chemokines, growth factors, and excitatory compounds is associated with brain inflammation and damage in HIV-infected patients. We believe that that the role of those molecules should not be studied per se but only within its network of interactions. To this end, genomics and proteomics could be applied to reach a deeper understanding of the molecular mechanisms underlying complex multifactorial disorders. Of note, bioinformatics and data mining can become an added value in this context, since they help clarify the pathophysiology of complex diseases by analyzing complex networks of molecular interactions. In this chapter, we discuss the potential role of bioinformatics and data mining in this setting.
2017
9781493972883
9781493972906
File in questo prodotto:
File Dimensione Formato  
Capitolo libro Shapshak_Luca_2.pdf

accesso chiuso

Tipologia: Documento in Post-print
Dimensione 527.77 kB
Formato Adobe PDF
527.77 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/884778
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact