Unraveling the lethal synergism between Trypanosoma cruzi infection and LPS: a role for increased macrophage reactivity

Various infections sensitize to lethal shock by promoting hyperactivation of macrophages to LPS stimulation. Although macrophages are thought to be deactivated upon contact with apoptotic cells during Trypanosoma cruzi infection, T. cruzi infection also sensitizes mice to endotoxemia. Herein, we studied the mechanisms of sensitization to endotoxemia in T. cruzi-infected mice in order to solve the paradox. Live (but not fixed) trypomastigotes from various stocks sensitized mice to endotoxemia. Mice deficient in glycolipid recognition (TLR2(-/-) and CD1d(-/-)) were sensitized by infection to challenge with LPS. Infected mice hyperproduced TNF and IL-10 upon LPS challenge. Infected TNF-R1(-/-), macrophage migration inhibitory factor (MIF)(-/-) and IFN-gamma(-/-) mice were lethally sensitized, but infected TNF-R1(-/-) mice administered anti-MIF survived shock with LPS. Macrophages from infected mice hyperproduced TNF in response to LPS stimulation and displayed increased expression of TLR4 compared to non-infected controls. Treatment with the PGE(2) synthesis inhibitor acetylsalicylic acid (AAS) in vivo reduced parasitemia and enhanced LPS-stimulated production of TNF by macrophages, but the effect was less in infected mice than in normal mice. Nevertheless, AAS treatment did not increase the susceptibility of infected mice to sublethal shock with LPS. Our results point to independent MIF and TNF/TNF-R1 lethal pathways and suggest a role for hyperactivated macrophages in T. cruzi-sensitized LPS-induced shock.     

Pharmacokinetics of diazepam following multiple-dose oral administration to healthy human subjects

Six healthy subjects between the ages of 21 and 31 years received diazepam tablets orally at a dose of 5 mg t.i.d. atO, 5, and 10hr on days 1–13. On day 14, the dose was 5 mg at 0 and 5 hr and 15 mg at 10 hr. Subsequently, the dose was 15 mg once daily on days 15–24. Numerous plasma samples were obtained during the multiple-dose regimen, and appropriate equations were fitted to all the multiple-dose data. Diazepam absorption was satisfactorily described by a first-order process, with disposition characterized by a linear two-compartment open model. The harmonic mean absorption half-life was 32 min, and the harmonic mean terminal exponential half-life was 57hr. The mean apparent oral total drug plasma clearance was 22.7ml/hr/kg. Steady-state plasma levels of the primary metabolite, desmethyldiazepam, were reached after 5–8 days of dosing. Steady-state diazepam plasma concentration-time profiles suggested that once daily administration of the total daily dose at bedtime might be a satisfactory dosing regimen.     

Hypothesis for the individualisation of drug dosage

Computer simulations based on the pharmacokinetics of chloramphenicol and theophylline in patients, indicate a very strong correlation (r = 0.988 for chloramphenicol and r = 0.971 for theophylline) between log maintenance dose required to achieve a desired average drug concentration in serum at steady-state, and the drug concentration in serum 6 hours after an initial test dose administered by constant rate intravenous infusion over 0.5h. Accordingly, we have developed a nomogram to predict individual daily dosing requirements for these drugs in uncomplicated patients from a single serum assay following an initial dose. Within defined limits, predictions made with the nomogram are essentially equivalent to those made by iraditional pharmacokinetic methods which require substantially more drug concentration-time data following a test dose. Predictions based on the nomogram are relatively unaffected by small but typical errors in magnitude of the test dose, infusion time, sampling time and assay. Protocols for the administration of the test dose other than described, e.g. administration of an oral theophylline solution, may be equally useful for dosage predictions. In principle, this approach should apply to other drugs.     

Mechanisms of the stereoselective interaction between miconazole and racemic warfarin in human subjects.

Miconazole decreased the total body clearance of both (R)- and (S)-warfarin in normal subjects but did not change volumes of distribution. Miconazole inhibited the oxidation of both (R)- and (S)-warfarin to phenolic metabolites, although (S)-warfarin was inhibited to the greater extent. In particular, (S)-7-hydroxylation, the pathway primarily responsible for termination of the anticoagulant effect, was most strongly inhibited. Inhibition of warfarin hydroxylation by miconazole in human liver microsomes and the in vivo results showed a good rank order correlation. The enhanced anticoagulant effect observed when miconazole and warfarin are coadministered may result from inhibition of P4502C9, the isozyme of P450 primarily responsible for the conversion of (S)-warfarin to (S)-7-hydroxy-warfarin. Because miconazole inhibits a number of P450 isozymes, in addition to P4502C9, it can be expected to lead to interactions with other drugs whose primary metabolism is controlled by these enzymes.     

Screening methods using sulfamethazine for determining acetylator phenotype.

Analysis of sulfamethazine (SMZ) kinetics in man has revealed complexities including wide intersubject variability. In our study, an attempt was made to assess the potential influence of changes in nonmetabolic parameters (absorption and urinary elimination rate constants) on the markers of acetylation capacity normally used in clinical screening procedures to determine phenotype. Seven normal subjects were classified as slow (SA) or fast acetylators (FA) according to their metabolic rate constant for SMZ (Km), plasma SMZ half-life, and percentage of N-acetyl SMZ in a 6-hr blood sample (PI6), a 5- to 6-hr urine collection (UI5--6), or a 6-hr total urine collection (UI6). Computer simulations were applied to baseline SMZ kinetic data from these subjects, varying nonmetabolic kinetic parameters over experimentally defined ranges singly, or in parallel with 1 or more of the other parameters. The simulations indicate that all the usual phenotyping procedures were sensitive to changes in absorption and urinary elimination rate constants. While these predictions require experimental confirmation, results show that the PI6 method is least sensitive to such changes, suggesting this method may minimize errors in phenotyping screening.