Survey of the temporal changes in HIV-1 replicative fitness in the Amsterdam Cohort

Changes in virulence and fitness during an epidemic are common among pathogens. Several studies have shown that HIV fitness increases within a patient during disease progression, while bottlenecks, such as sexual transmission, immune pressure and drug treatment can reduce fitness. In this study, we analyzed how these opposing forces have shaped HIV-1 fitness over time. Therefore, we compared the replicative fitness of HIV-1 isolates from newly infected untreated individuals, diagnosed for HIV-1 infection early in the AIDS epidemic in Amsterdam, the Netherlands, with more recent isolates. Twenty-five early and late HIV-1 isolates, carefully matched for seroconversion time, were competed head-to-head in a dual infection/competition assay, employing peripheral blood mononuclear cells. In contrast with previous studies, we observed a trend of increasing fitness over time in the HIV epidemic of Amsterdam. Apparently, the bottleneck, occurring with each transmission event, does not completely reset the fitness increase acquired during disease progression.     

Prediction of drug‐drug interactions using physiologically‐based pharmacokinetic models of CYP450 modulators included in Simcyp software

In recent years, physiologically based PharmacoKinetic (PBPK) modeling has received growing interest as a useful tool for the assessment of drug pharmacokinetics. It has been demonstrated to be informative and helpful to quantify the modification in drug exposure due to specific physio‐pathological conditions, age, genetic polymorphisms, ethnicity and particularly drug–drug interactions (DDIs). In this paper, the prediction success of DDIs involving various cytochrome P450 isoenzyme (CYP) modulators namely ketoconazole (a competitive inhibitor of CYP3A), itraconazole (a competitive inhibitor of CYP3A), clarithromycin (a mechanism‐based inhibitor of CYP3A), quinidine (a competitive inhibitor of CYP2D6), paroxetine (a mechanism‐based inhibitor of CYP2D6), ciprofloxacin (a competitive inhibitor of CYP1A2), fluconazole (a competitive inhibitor of CYP2C9/2C19) and rifampicin (an inducer of CYP3A) were assessed using Simcyp^® software. The aim of this report was to establish confidence in each CYP‐specific modulator file so they can be used in the future for the prediction of DDIs involving new victim compounds. Our evaluation of these PBPK models suggested that they can be successfully used to evaluate DDIs in untested scenarios. The only noticeable exception concerned a quinidine inhibitor model that requires further improvement. Additionally, other important aspects such as model validation criteria were discussed.     

Laser utility in the treatment of hemorrhoidal pathology: a review of literature

Lasers in Medical Science - Hemorrhoidal disease is a common reason for consultation in proctology. It can be treated in several ways (medical, endoscopic, and surgical). Laser treatment has been...