Can we predict the influence of inflammation on voriconazole exposure? An overview.

Voriconazole is a triazole antifungal indicated for invasive fungal infections that exhibits a high degree of inter-individual and intra-individual pharmacokinetic variability. Voriconazole pharmacokinetics is non-linear, making dosage adjustments more difficult. Therapeutic drug monitoring is recommended by measurement of minimum plasma concentrations. Several factors are responsible for the high pharmacokinetic variability of voriconazole: age, feeding (which decreases absorption), liver function, genetic polymorphism of the CYP2C19 gene, drug interactions and inflammation. Invasive fungal infections are indeed very frequently associated with inflammation, which engenders a risk of voriconazole overexposure. Many studies have reviewed this topic in both the adult and paediatric populations, but few studies have focused on the specific point of the prediction, to evaluate the influence of inflammation on voriconazole pharmacokinetics. Predicting the impact of inflammation on voriconazole pharmacokinetics could help optimize antifungal therapy and improve patient management. This review summarizes the existing data on the influence of inflammation on voriconazole pharmacokinetics in adult populations. We also evaluate the role of C-reactive protein, the impact of inflammation on patient metabolic phenotypes, and the tools that can be used to predict the effect of inflammation on voriconazole pharmacokinetics.

Portable hemoglobinometer is a reliable technology for the follow-up of venesections tolerance in hemochromatosis.

BACKGROUND: The treatment of HFE-related hemochromatosis, one of the most common genetic diseases, is based on phlebotomies whose tolerance is evaluated by regular monitoring of hemoglobin. Using a portable hemoglobinometer (PH) could provide an easy and fast determination of hemoglobin. Therefore, the aim of the present study was to compare, in hemochromatosis patients treated by bloodletting, the hemoglobin concentrations as assayed, on capillary blood, by a PH device and, on venous blood, by a cell counter (CC) device. METHODS: For a total period of 12 weeks duration, all patients undergoing phlebotomies in the same hospital outpatient unit had hemoglobin determinations both by the HemoCue and by the laboratory's DxH 800 Coulter. To evaluate the sensitivity and specificity of the HemoCue, patients were classified as presenting or not anemia as defined by hemoglobin level below 11 g/dl. RESULTS: Measurements of hemoglobin were performed in 122 patients. The sensitivity and specificity of PH compared to CC were 100 and 98.1%, respectively. Capillary hemoglobin by PH slightly underestimated venous hemoglobin by CC. The Pearson's correlation coefficient between PH and CC was 0.80 (P<0.0001). CONCLUSION: PH is a reliable, quick and easy technology, which can be proposed to follow-up the tolerance of venesections in hemochromatosis patients.

Description of 2 angiogenic phenotypes in clear cell renal cell carcinoma.

Angiogenesis in clear cell renal cell carcinoma has received recent focus with the development of antiangiogenic therapies. Although tumor progression is known to be correlated with intratumoral and plasma levels of vascular endothelial growth factor-A, the role of tumor induced-angiogenesis remains unclear in these tumors. We analyzed the vascular network in a cohort of 73 clear cell renal cell carcinoma cases using endothelial immunostaining. We studied protein expression of vascular endothelial growth factor, Von Hippel Lindau, and carbonic anhydrase IX by immunohistochemistry, Von Hippel Lindau gene alteration by sequencing, deletion- and methylation-specific Multiplex Ligation-dependent Probe Amplification, and gene expression by pangenomic microarray and quantitative polymerase chain reaction in a subcohort of 39 clear cell renal cell carcinoma cases. We described 2 distinct angiogenic phenotypes in comparison with the normal kidney vasculature: low and high angiogenic phenotypes. The low angiogenic phenotype was associated with more aggressive prognostic factors such as T3 to T4 (62% versus 31%, P=.002), N+ (29% versus 3% P=.004), M+ (53% versus 21%, P=.004) stages, Fuhrman grade (grade 3-4: 91% versus 36%, P<.001), and intratumoral vascular endothelial growth factor expression (74% versus 28%, P<.001); was less associated with Von Hippel Lindau inactivation (56% versus 80%, P=.03); and was a predictor of poor prognosis in terms of progression-free, cancer-specific, and overall survival (log-rank test, P=.002, P=.011, and P=.035, respectively). The low angiogenic phenotype was also associated with a relative down-regulation of gene expression (platelet-derived growth factor D, N-acetyl transferase 8, and N-acetyl transferase 8 B). In conclusion, the histologic and molecular distinction between these 2 angiogenic phenotypes could help to better understand the biologic behavior of clear cell renal cell carcinoma angiogenesis and could be analyzed in a prospective study of the effects of antiangiogenic drugs.

Combination of Temsirolimus and tyrosine kinase inhibitors in renal carcinoma and endothelial cell lines.

PURPOSE: Multitargeted tyrosine kinase inhibitors (TKIs) (such as Sunitinib and Sorafenib) and mTOR inhibitors (such as Temsirolimus) are effective in treating metastatic clear-cell renal cell carcinoma (CCRCC), by acting on different pathways in both tumour and endothelial cells. A study of their combined effect could be of major interest. METHODS: We studied endothelial and CCRCC cell lines treated with Sunitinib, Sorafenib, Temsirolimus and 2 drug combinations: Sunitinib-Temsirolimus and Sorafenib-Temsirolimus. We studied inhibition of proliferation with an MTT assay under normoxia and hypoxia, VEGF expression by quantitative RT-PCR and ELISA, and angiogenesis with a Matrigel assay. RESULTS: TKIs and Temsirolimus inhibited proliferation of endothelial and tumour cell lines and inhibited angiogenesis. Anti-proliferative effects were more significant on cell lines with VHL gene inactivation and under hypoxic conditions. VEGF expression was induced by TKIs, but inhibited by Temsirolimus. The Sunitinib/Temsirolimus combination had synergistic or additive effects on the proliferation of tumour and endothelial cell lines. The Sorafenib-Temsirolimus combination had additive effects on the proliferation of most tumour cell lines, but not endothelial cell lines. Both combinations had additive effects on the inhibition of angiogenesis. CONCLUSION: In our model, Sunitinib, Sorafenib and Temsirolimus had anti-tumour and anti-angiogenic effects. The combinations of Sunitinib or Sorafenib with Temsirolimus had additive or synergistic effects on the inhibition of tumour and endothelial cell proliferation, and on the inhibition of angiogenesis. This work could lead to new trials with lower-dose combinations to prevent side effects and enhance efficacy.