B. Mary E. von Blomberg

Although approaches to the prediction of drug-drug interactions (DDIs) arising via time-dependent inactivation have recently been developed, such approaches do not account for simple competitive inhibition or induction. Accordingly, these approaches do not provide accurate predictions of DDIs arising from simple competitive inhibition (e.g., ketoconazole) or induction of cytochromes P450 (e.g., phenytoin). In addition, methods that focus upon a single interaction mechanism are likely to yield misleading predictions in the face of mixed mechanisms (e.g., ritonavir). As such, we have developed a more comprehensive mathematical model that accounts for the simultaneous influences of competitive inhibition, time-dependent inactivation, and induction of CYP3A in both the liver and intestine to provide a net drug-drug interaction prediction in terms of area under the concentration-time curve ratio. This model provides a framework by which readily obtained in vitro values for competitive inhibition, time-dependent inactivation and induction for the precipitant compound as well as literature values for f_m and F_G for the object drug can be used to provide quantitative predictions of DDIs. Using this model, DDIs arising via inactivation (e.g., erythromycin) continue to be well predicted, whereas those arising via competitive inhibition (e.g., ketoconazole), induction (e.g., phenytoin), and mixed mechanisms (e.g., ritonavir) are also predicted within the ranges reported in the clinic. This comprehensive model quantitatively predicts clinical observations with reasonable accuracy and can be a valuable tool to evaluate candidate drugs and rationalize clinical DDIs.

PURPOSE: alpha-galactosylceramide (KRN7000) is a glycosphingolipid that has been shown to inhibit tumor growth and to prolong survival in inoculated mice through activation of natural killer (NK) T cells. We performed a dose escalation study of KRN7000 in advanced cancer patients. EXPERIMENTAL DESIGN: Patients with solid tumors received i.v. KRN7000 (50-4,800 micro g/m(2)) on days 1, 8, and 15 of a 4-weekly cycle. Patients were given 1 cycle and, in the absence of dose-limiting toxicity or progression, treatment was continued. Pharmacokinetics (PK) and immunomonitoring were performed in all patients. RESULTS: Twenty-four patients were entered into this study. No dose-limiting toxicity was observed over a wide range of doses (50-4,800 micro g/m(2)). PK was linear in the dose range tested. Immunomonitoring demonstrated that NKT cells (CD3+Valpha24+Vbeta11+) typically disappeared from the blood within 24 h of KRN7000 injection. Additional biological effects included increased serum cytokine levels (tumor necrosis factor alpha and granulocyte macrophage colony-stimulating factor) in 5 of 24 patients and a transient decrease in peripheral blood NK cell numbers and cytotoxicity in 7 of 24 patients. Importantly, the observed biological effects depended on pretreatment NKT-cell numbers rather than on the dose of KRN7000. Pretreatment NKT-cell numbers were significantly lower in patients compared with healthy controls (P = 0.0001). No clinical responses were recorded and seven patients experienced stable disease for a median duration of 123 days. CONCLUSION: i.v. KRN7000 is well tolerated in cancer patients over a wide range of doses. Biological effects were observed in several patients with relatively high pretreatment NKT-cell numbers. Other therapeutic strategies aiming at reconstitution of the deficient NKT-cell population in cancer patients may be warranted.

The genes for tumour necrosis factor alpha (TNF alpha) and lymphotoxin alpha (LT alpha; TNF beta) are tandemly arranged in the central region of the MHC. They may, therefore, be of importance for the aetiology of MHC-associated diseases. The authors have prospectively studied the secretion of TNF alpha and LT alpha in relation to polymorphisms at positions -308 and -238 in the TNF alpha gene (TNFA), and two polymorphisms in the first intron of the LT alpha gene (LTA), as well as HLA-DR in 30 patients with chronic inflammatory bowel diseases (IBD) and 12 healthy controls. In the Dutch population, the alleles of these four polymorphisms are present in only five combinations, called TNF-haplotypes: TNF-C, -E, -H, -I, and -P. Significant associations between TNF haplotypes and TNF alpha and LT alpha secretion were found when PBMC were cultured with T-cell activators, irrespective of disease. Mean TNF alpha secretion of individuals carrying the HLA-DR3 associated TNF-E haplotype was significantly higher, as compared to individuals without this haplotype (26 441 pg/ml versus 19 629 pg/ml; P = 0.014). Individuals carrying the TNF-C haplotype produced the lowest amount of TNF alpha (17 408 pg/ml; P=0.022). The TNF-C and TNF-E haplotypes differ only at position -308 in the promoter of TNFA. Individuals carrying the HLA-DR1 associated TNF-I haplotype produced significantly less LT alpha when compared to those who lack this haplotype (1979 pg/ml versus 3462 pg/ml; P = 0.006). As the TNF-I haplotype is also associated with low TNF alpha secretion, this haplotype thus defines a 'low secretor phenotype'. In conclusion, this is the first study to show associations between TNF haplotypes and TNF alpha and LT alpha secretion when T-cell stimulators are used. These findings will contribute to define disease heterogeneity in IBD and may be of relevance for understanding the pathogenesis of autoimmune diseases.