Improving Clinical Laboratory Efficiency: Introduction of Systems for the Diagnosis and Monitoring of HIV Infection.

Since the first tests for identifying individuals with suspected human immunodeficiency virus (HIV) infection were introduced in the mid-1980s, diagnostic virology testing has greatly evolved. The technological advances, automating in the laboratories and the advances in molecular biology techniques have helped introduce invaluable laboratory methods for managing HIV patients. Tests for diagnosis, specially for screening HIV antibodies, are now fully automated; in the same way, tests for monitoring HIV viral load (HIV RNA copies/ml of plasma), which is used for monitoring infection and response to antiretroviral treatment, are also fully automated; however, resistance testing, tropism determination and minor variant detection, which are used to make decisions for changing antiretroviral treatment regimens in patients failing therapy, still remain highly laborious and time consuming. This chapter will review the main aspects relating to the automating of the methods available for laboratory diagnosis as well as for monitoring of the HIV infection and determination of resistance to antiretrovirals and viral tropism.

Quasispecies as predictive response factors for antiviral treatment in patients with chronic hepatitis C.

The object of this study was to evaluate the viral factor, especially the quasispecies, as predictive of sustained virologic response. We studied the quasispecies, genotype, viral load, and hepatitis C (HCV) cAg in 41 patients with chronic hepatitis C treated with interferon and in 84 with interferon and ribavirin. In the interferon group, responders presented a lower viral load. From logistic regression analysis of patients treated with interferon plus ribavirin, independent predictors for sustained virologic response were genotype 3a, a low baseline viral load and