[Laboratory diagnosis of HIV infection, viral tropism and resistance to antiretrovirals]

Modeling the Interplay Between Viral and Immune Dynamics in HIV: A Review and Mrgsolve Implementation and Exploration

Since its initial discovery, HIV has infected more than 70 million individuals globally, leading to the deaths of 35 million. At present, the annual number of deaths has significantly decreased due to 75% of HIV-positive individuals being on antiretroviral therapy. Although there is no cure yet, available treatments extend life expectancy, enhance quality of life, and reduce transmission by maintaining viral load below the detection limit of 50 copies/mL, making the individual's levels undetectable and untransmittable. HIV has attracted considerable attention in the computational modeling area, with various models having been developed with different degrees of complexity in an attempt to explain the viral dynamics of the disease. It is important to note that no single model can fully incorporate and predict all the critical factors influencing the dynamics of the disease and its response to treatments. Since the number of published models is large, the purpose of this article is to review several relevant models found in the literature that describe biologically plausible scenarios of HIV infection, including key features of disease progression with or without treatment. A total of 15 models are described, with some implemented in the mrgsolve package in R Studio and shared for the benefit of the scientific community. The modeling framework concerning HIV infection aids in identifying the most impactful parameters within the system and their implications in the model outcomes. Insights provided by these models may help in confirming targets for current and novel therapies, thereby contributing to the exploration of new strategies.

Usefulness of Integrase resistance testing in proviral HIV-1 DNA in patients with Raltegravir prior failure

Background

In our study, we have hypothesized that proviral DNA may show the history of mutations that emerged at previous failures to a Raltegravir containing regimen, in patients who are currently undetectable and candidates to simplification to a Dolutegravir containing regimen, in order to decide on once a day or twice a day dosing.

Methods

We have performed a pilot, observational, retrospective, non interventional study, including 7 patients infected by HIV-1, all with a history of previous failure to a RAL containing regimen, that were successfully salvaged and had reached viral suppression. A genotypic viral Integrase region study was available for each patient at the moment of RAL failure. After an average (IQR) time of 48 months (29–53) Integrase resistance mutations in proviral DNA were studied.

Results

All the patients were infected by HIV-1 B subtypes, with a mean age of 55 (range 43 to 56), originating from Spain, and 4 were women. Median viral load (log) and CD4 count at the moment of the study on proviral DNA was of 1.3 log cp/ml (range 0–1.47) and 765.5 cells/μL (range; 436.75–1023.75). The median time (IQR) between previous failure to RAL and the study on proviral DNA was 48 (29–53) months. At Raltegravir failure, N155H was detected in four patients, and other secondary mutations were detected in five patients (71.4 %). In proviral DNA, N155H was detected by population sequencing in three patients (42.8 %), and UDS demonstrated a 9.77 % relative abundance of N155H in the remaining patient. Sanger sequencing correctly identified all the secondary mutations.

Conclusion

This is a pilot study that demonstrates the possibility of properly identifying N155H and some secondary mutations 29–53 months after failure.

[Microbiological diagnosis of human immunodeficiency virus infection]

This document attempts to update the main tasks and roles of the Clinical Microbiology laboratory in HIV diagnosis and monitoring. The document is divided into three parts. The first deals with HIV diagnosis and how serological testing has changed in the last few years, aiming to improve diagnosis and to minimize missed opportunities for diagnosis. Technological improvements for HIV Viral Load are shown in the second part of the document, which also includes a detailed description of the clinical significance of low-level and very low-level viremia. Finally, the third part of the document deals with resistance to antiretroviral drugs, incorporating clinical indications for integrase and tropism testing, as well as the latest knowledge on minority variants.

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.