The strategy of the concentration-dose (C/D) approach and the different profiles of tacrolimus (Tac) according to the cytochrome P450 polymorphisms (CYPs) focus on the metabolism of Tac and are proposed as tools for the follow-up of transplant patients. The objective of this study is to analyse both strategies to confirm whether the stratification of patients according to the pharmacokinetic behaviour of C/D corresponds to the classification according to their CYP3A4/5 cluster metabolizer profile.
425 kidney transplant patients who received Tac as immunosuppressive treatment have been included. The concentration/dose ratio (C/D) was used to divide patients in terciles and classify them according to their Tac metabolism rate (fast, intermediate, and slow). Based on CYP3A4 and A5 polymorphisms, patients were classified into 3 metabolizer groups: fast (CYP3A5*1 carriers and CYP34A*1/*1), intermediate (CYP3A5*3/3 and CYP3A4*1/*1) and slow (CYP3A5*3/*3 and CYP3A4*22 carriers).
When comparing patients included in each metabolizer group according to C/D ratio, 47% (65/139) of the fast metabolizers, 85% (125/146) of the intermediate and only 12% (17/140) of the slow also fitted in the homonym genotype group. Statistically lower Tac concentrations were observed in the fast metabolizers group and higher Tac concentrations in the slow metabolizers when compared with the intermediate group both in C/D ratio and polymorphisms criteria. High metabolizers required approximately 60% more Tac doses than intermediates throughout follow-up, while poor metabolizers required approximately 20% fewer doses than intermediates. Fast metabolizers classified by both criteria presented a higher percentage of times with sub-therapeutic blood Tac concentration values.
Determination of the metabolizer phenotype according to CYP polymorphisms or the C/D ratio allows patients to be distinguished according to their exposure to Tac. Probably the combination of both classification criteria would be a good tool for managing Tac dosage for transplant patients.

Clozapine-induced myocarditis or any clozapine-induced inflammation may be a hypersensitivity reaction due to titration that was too rapid for the patient\'s clozapine metabolism. Clozapine metabolism is influenced by ancestry, sex, smoking and the presence of confounders including obesity, infections, and inhibitors (e.g., valproate) causing the patient to behave as a clozapine poor metabolizer (PM). A published study in a Turkish hospital identified 1 case of clozapine-induced pancreatitis and hepatitis and 9 cases of clozapine-induced myocarditis. To explore the hypothesis that the 10 patients were clozapine PMs, their serum clozapine concentrations were investigated using concentration-to-dose (C/D) ratios and their titrations carefully reviewed.
Dividing the trough serum concentration by the dose produces the clozapine C/D ratio. The dose required to reach 350ng/ml was considered the minimum therapeutic dosage and was used to classify patients according to clozapine PM status. Titration speed was assessed.
All 10 patients were possibly clozapine PMs (3 of them had as minimum therapeutic doses: 72, 82 or 83mg/day). Nine of the 10 patients may have behaved as clozapine PMs due to obesity and/or valproate co-prescription during titration. One also had an undiagnosed infection. Of the 10 patients, 9 had at least 1 of 3 factors: too-rapid titration in the first or second weeks, or a final dosage that was too high.
Future studies using clozapine levels and considering the role of clozapine PM status should explore whether or not all cases of clozapine-induced inflammation could be explained by lack of individualized titration.

In recent years, we have seen a great interest in the search for new biomarkers in heart failure (HF), fundamentally in the field of diagnosis, prognosis, monitoring and as a therapeutic guide. However, most of them do not meet the required criteria for daily clinical practice. The carbohydrate antigen 125 (CA 125) is the mucin 16 glycoprotein (MUC16) antibody, and its use has been restricted to the therapeutic monitoring of ovarian cancer; however, its elevation is confirmed in other non-tumour processes such as HF. In this last scenario, CA 125 is synthesised by serous epithelial cells in response to congestion and/or inflammatory stimuli. In recent years, increasing evidence has emerged suggesting that plasma levels of this glycoprotein could be useful as a biomarker in HF. CA 125 levels correlate with clinical, haemodynamic and echocardiographic parameters related to the severity of the disease, as well as being independently associated with mortality or readmission due to HF. From the clinical perspective, CA 125 provides information on the degree of extravascular congestion present in HF. Recent evidence consistently shows that its kinetics after admission due to decompensation offer an excellent predictive capacity for adverse events and to guide treatment, mainly diuretic. These qualities make it an ideal candidate for use in evolutionary monitoring and to guide depletive treatment in HF.