899 resultados para Synthetic drugs.


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BACKGROUND Left ventricular hypertrophy (LVH) is common in kidney transplant (KT) recipients. LVH is associated with a worse outcome, though m-TOR therapy may help to revert this complication. We therefore conducted a longitudinal study to assess morphological and functional echocardiographic changes after conversion from CNI to m-TOR inhibitor drugs in nondiabetic KT patients who had previously received RAS blockers during the follow-up. METHODS We undertook a 1-year nonrandomized controlled study in 30 non-diabetic KT patients who were converted from calcineurin inhibitor (CNI) to m-TOR therapy. A control group received immunosuppressive therapy based on CNIs. Two echocardiograms were done during the follow-up. RESULTS Nineteen patients were switched to SRL and 11 to EVL. The m-TOR group showed a significant reduction in LVMi after 1 year (from 62 ± 22 to 55 ± 20 g/m2.7; P=0.003, paired t-test). A higher proportion of patients showing LVMi reduction was observed in the m-TOR group (53.3 versus 29.3%, P=0.048) at the study end. In addition, only 56% of the m-TOR patients had LVH at the study end compared to 77% of the control group (P=0.047). A significant change from baseline in deceleration time in early diastole was observed in the m-TOR group compared with the control group (P=0.019). CONCLUSIONS Switching from CNI to m-TOR therapy in non-diabetic KT patients may regress LVH, independently of blood pressure changes and follow-up time. This suggests a direct non-hemodynamic effect of m-TOR drugs on cardiac mass.

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An 88 years old woman was admitted for muscular pain and weakness. She was under a treatment of simvastatin and was recently prescribed clarithromycin for a lung infection. The diagnosis of statin induced rhabdomyolysis by drug interaction was made. The evolution is good with eviction of the statin and aggressive hydratation. This case shows how important it is to know the risks factors and drug interactions predisposing to statin-induced myopathy.

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AIM: To assess compliance with a drug regimen of two doses a day compared with one a day. PATIENTS AND METHODS: A prospective crossover study was set up in a general practice environment to compare compliance on a drug regimen of once a day versus twice a day. Data were collected by electronic monitoring in 113 patients with hypertension or angina pectoris. All patients were prescribed slow-release nifedipine twice a day during the first month and then crossed to a single daily dose of amlodipine for another month. RESULTS: Compliance, defined as the proportion of days on which the correct dose was taken, improved in 30% of patients (95% confidence interval 19-41%; P < 0.001) when the patients were switched from twice a day to once a day, but at the same time there was a 15% increase (95% confidence interval 5-25%; P < 0.02) in the number of patients with one or more no-dose days. Approximately 8% of patients displayed low compliance, irrespective of the dose regimen. Actual dose intervals were used to estimate the extent and timing of periods with unsatisfactory drug activity for various hypothetical drug durations of action. CONCLUSIONS: The apparent advantage of a single daily dose in terms of compliance appears to be clinically meaningful only when the duration of activity extends beyond the dose interval in all patients.

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Abstract: Light is a very important environmental cue for plants. In addition to the energy for photosynthesis, it also provides information that is essential for many processes including seed germination, seedlings development, neighbours detection or transition from the vegetative to the reproductive state. Plants evolved different photoreceptors, among which the phytochromes (PHY), which are red/far-red photoreceptors. This family is composed of 5 members in Arabidopsis thaliana, among which phyB plays the major role for detection of red light. Phytochromes are also able to reset the phase of the circadian clock, which is composed of a complicated network of genes able to produce rhythms of about 24 hours, even in constant conditions. SRR1 (Sensitivity to Red light Reduced) is a gene that was shown to act in the phyB pathway as well as in the circadian clock. It was proposed to play a role in the maintenance of rhythms of the core oscillator because of the circadian phenotype of the srr1 mutant in constant light and in constant darkness. In the present study, we present data confirming the role of SRR1 in the core oscillator. Moreover, we show that SRR1 levels are not limiting for circadian rhythms nor for light perception. We show that the protein levels, the sub-cellular localisation or the complex in which SRR1 is found are not regulated in a circadian manner. Orthologues of SRR1 exist in numerous eukaryotes, forming a new gene family. None of the members of this family have been described. Here, we present data suggesting that the mouse orthologue of SRR1 may not be required for oscillation of the circadian clock of mouse cells in culture. The yeast gene (called BER1 for Benomyl REsistant) was studied to understand the biochemical function of this gene family. Based on synthetic genetic screens, a role of Ber1 was inferred in microtubules dynamics, N-terminal acetylation of protein and proteasome biogenesis. The effect of Ber1 on microtubules was confirmed by the observation that the ber1Δ mutant is more resistant to microtubule-depolymerising drugs and microscopic examination of microtubules in ber 1 Δ mutants. Complementation assays of ber1 Δ mutants and srrl mutants failed to reveal any obvious functional conservation of the mouse, yeast and Arabidopsis orthologues. In conclusion, the SRR1 family might encode genes that either plays different roles in different organisms, or have similar biochemical function but are involved in diverse pathway. Résumé: La lumière est un des facteurs abiotiques les plus important pour les plantes. En plus de l'énergie fournie pour la photosynthèse, elle fourni également de l'information nécessaire pour différents processus comme la germination, le développement des jeunes plantules, la détection de plantes avoisinantes ou encore la transition entre le développement végétatif et reproductif. Plusieurs types de photorécepteurs sont apparus chez les plantes au cours de l'évolution, notamment les phytochromes (PHI, qui perçoivent la lumière rouge et rouge lointaine. Cette famille est composé de 5 membres chez Arabidopsis thaliana, parmi lesquels phyB est le principal récepteur pour la lumière rouge. Les phytochromes sont aussi utiles pour la synchronisation entre les cycles jour-nuit dus à la rotation de la terre et l'horloge circadienne. Cette dernière est composée d'un réseau compliqué qui permet la production de rythmes capables de perdurer même en conditions constantes. SRRI (Sensitivity to Red light Reduced) est un gène qui agit dans la voie de signalisation de phyB ainsi que dans l'horloge circadienne. Il a été proposé que SRRI joue un rôle dans la maintenance des rythmes de l'oscillateur principal à cause des phénotypes circadiens du mutant srrl observés en lumière et en obscurité continue. Dans ce travail, nous présentons des données confirmant le rôle de SRR1 dans l'oscillateur principal. Nous montrons que les niveaux d'expression de SRRI ne sont pas limitants pour les rythmes circadiens ou la perception de la lumière. Enfin, nous montrons que le niveau d'accumulation de la protéine, sa localisation subcellulaire ou encore la taille du complexe dans lequel SRRl est trouvé ne sont pas régulés de façon circadiennes. Des orthologues de SRRI existent chez de nombreux eucaryotes, formant une nouvelle famille de gènes. Aucun des membres de cette famille n'a été étudié avant ce travail. Nous présentons des données suggérant que l'orthologue de la souris n'est peut-être pas requis pour les oscillations de l'horloge circadienne de cellules de souris en culture. Le gène de la levure (appelé SERI pour Benomyl REsistant) a été étudié afin de mieux comprendre la fonction biochimique de cette famille de gène. Une analyse par crible synthétique léthal a révélé un rôle de Ber1 dans la dynamique des microtubules, l'acétylation des protéines en N-terminal et la biogenèse du protéasome. L'effet de Ber1 sur les microtubules a été confirmé par l'observation du mutant ber1 en présence de drogue capable de dépolymériser les microtubules. Celui-ci est plus résistant à ces drogues que le type sauvage. Des expériences de complémentation n'ont pas montré de conservation de la fonction entre SRRI et ses homologues de souris ou de levure. En conclusion, la famille SRRI code pour des gènes qui pourraient avoir soit des rôles différents selon les organismes, soit la même fonction biochimique mais qui serait utile pour des voies de signalisation différentes.

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Most of oral targeted therapies are tyrosine kinase inhibitors (TKIs). Oral administration generates a complex step in the pharmacokinetics (PK) of these drugs. Inter-individual PK variability is often large and variability observed in response is influenced not only by the genetic heterogeneity of drug targets, but also by the pharmacogenetic background of the patient (e.g. cytochome P450 and ABC transporter polymorphisms), patient characteristics such as adherence to treatment and environmental factors (drug-drug interactions). Retrospective studies have shown that targeted drug exposure, reflected in the area under the plasma concentration-time curve (AUC) correlates with treatment response (efficacy/toxicity) in various cancers. Nevertheless levels of evidence for therapeutic drug monitoring (TDM) are however heterogeneous among these agents and TDM is still uncommon for the majority of them. Evidence for imatinib currently exists, others are emerging for compounds including nilotinib, dasatinib, erlotinib, sunitinib, sorafenib and mammalian target of rapamycin (mTOR) inhibitors. Applications for TDM during oral targeted therapies may best be reserved for particular situations including lack of therapeutic response, severe or unexpected toxicities, anticipated drug-drug interactions and/or concerns over adherence treatment. Interpatient PK variability observed with monoclonal antibodies (mAbs) is comparable or slightly lower to that observed with TKIs. There are still few data with these agents in favour of TDM approaches, even if data showed encouraging results with rituximab, cetuximab and bevacizumab. At this time, TDM of mAbs is not yet supported by scientific evidence. Considerable effort should be made for targeted therapies to better define concentration-effect relationships and to perform comparative randomised trials of classic dosing versus pharmacokinetically-guided adaptive dosing.

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This review continues a general presentation of the metabolism of drugs and other xenobiotics begun in five recent issues of Chemistry & Biodiversity. The present Part is dedicated to the pharmacological and toxicological consequences of drug and xenobiotic metabolism. In other words, the key concepts here are activation vs. deactivation, toxification vs. detoxification, and their interplay. These concepts are illustrated with a number of medicinally, toxicologically, and environmentally relevant examples. But, far from being concerned only with individual cases, the review is based on broad classifications, global rationalizations, and synthetic hypotheses.

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The development of forensic intelligence relies on the expression of suitable models that better represent the contribution of forensic intelligence in relation to the criminal justice system, policing and security. Such models assist in comparing and evaluating methods and new technologies, provide transparency and foster the development of new applications. Interestingly, strong similarities between two separate projects focusing on specific forensic science areas were recently observed. These observations have led to the induction of a general model (Part I) that could guide the use of any forensic science case data in an intelligence perspective. The present article builds upon this general approach by focusing on decisional and organisational issues. The article investigates the comparison process and evaluation system that lay at the heart of the forensic intelligence framework, advocating scientific decision criteria and a structured but flexible and dynamic architecture. These building blocks are crucial and clearly lay within the expertise of forensic scientists. However, it is only part of the problem. Forensic intelligence includes other blocks with their respective interactions, decision points and tensions (e.g. regarding how to guide detection and how to integrate forensic information with other information). Formalising these blocks identifies many questions and potential answers. Addressing these questions is essential for the progress of the discipline. Such a process requires clarifying the role and place of the forensic scientist within the whole process and their relationship to other stakeholders.

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Psychosis is a debilitating disease, causing harm to the individual and society. Since early detection of the disease is associated with a more benign course, factors are warranted that enable the early detection of psychosis. In the present thesis we will be focusing on two potential risk factors, namely schizotypy and drug use. The schizotypy concept, originally developed by Meehl (1962), states that schizophrenia symptoms exist on a spectrum, with symptoms ranging from the most severe in patients with schizophrenia to the least affected individual in the general population. Along the schizophrenia spectrum cognitive impairments are commonly found, for instance reduced hemispheric asymmetry or frontal lobe functions. The second risk factor (drug use), affects similar cognitive functions as those attenuated along the schizophrenia spectrum, and drug use is elevated in schizophrenia and people scoring high on schizotypy. Therefore, we set out to investigate whether cognitive attenuations formerly allocated to schizotypal symptoms could have been influenced by elevated substance use in this population. To test this idea, we assessed various drugs (nicotine, cannabis, mephedrone, general substance dependence) and schizotypy symptoms (O-LIFE), and measured either hemispheric asymmetry of function (left hemisphere dominance for language, and right hemisphere dominance for facial processing) or functions largely relying on the frontal lobes (such as cognitive flexibility, working memory, verbal short-term memory, verbal learning and verbal fluency). Results of all studies suggest that it is mostly drugs, and not schizotypy in general that predict cognitive functioning. Therefore, cognitive attenuations subscribed to schizotypy dimensions are likely to have been affected by enhanced drug use. Future studies should extend the list of potential risk factors (e.g. depression and IQ) to acquire a comprehensive overview of the most reliable predictors of disadvantageous cognitive profiles.

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INTRODUCTION: Squamous-cell carcinoma of the head and neck (SCCHN) remains a challenging clinical problem, due to the persistent high rate of local and distant failures and the occurrence of secondary primaries. For locally advanced SCCHN, a combination of chemotherapy (CT), radiation or surgery is often used, but there are limitations, which may reduce compliance. Molecular targeted therapies, namely anti-EGFR treatments, are in development with the aim of improving clinical outcomes and mitigating treatment-related toxicities. AREAS COVERED: This review provides an overview of early investigational drugs that target EGFR for the treatment of SCCHN and discusses the ongoing trials in this domain. EXPERT OPINION: Targeted therapies are increasingly used in oncology, especially in SCCHN. Cetuximab has demonstrated a significant improvement in the treatment outcome, both as a curative treatment in combination with radiation therapy and as a palliative treatment in combination with CT; however, it failed to show any benefit in combination with concomitant chemoradiotherapy. Presently, there are many new agents, including monoclonal antibodies and small-molecule tyrosine kinase inhibitors, which are either currently under investigation for or which warrant further investigation for treating SCCHN. The discovery of predictive factors that help to identify patients most likely to respond to EGFR inhibitors as well as patient-customized therapies would help to improve patient outcomes in the future.

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A simple wipe sampling procedure was developed for the surface contamination determination of ten cytotoxic drugs: cytarabine, gemcitabine, methotrexate, etoposide phosphate, cyclophosphamide, ifosfamide, irinotecan, doxorubicin, epirubicin and vincristine. Wiping was performed using Whatman filter paper on different surfaces such as stainless steel, polypropylene, polystyrol, glass, latex gloves, computer mouse and coated paperboard. Wiping and desorption procedures were investigated: The same solution containing 20% acetonitrile and 0.1% formic acid in water gave the best results. After ultrasonic desorption and then centrifugation, samples were analysed by a validated liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) in selected reaction monitoring mode. The whole analytical strategy from wipe sampling to LC-MS/MS analysis was evaluated to determine quantitative performance. The lowest limit of quantification of 10 ng per wiping sample (i.e. 0.1 ng cm(-2)) was determined for the ten investigated cytotoxic drugs. Relative standard deviation for intermediate precision was always inferior to 20%. As recovery was dependent on the tested surface for each drug, a correction factor was determined and applied for real samples. The method was then successfully applied at the cytotoxic production unit of the Geneva University Hospitals pharmacy.

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Analytical results harmonisation is investigated in this study to provide an alternative to the restrictive approach of analytical methods harmonisation which is recommended nowadays for making possible the exchange of information and then for supporting the fight against illicit drugs trafficking. Indeed, the main goal of this study is to demonstrate that a common database can be fed by a range of different analytical methods, whatever the differences in levels of analytical parameters between these latter ones. For this purpose, a methodology making possible the estimation and even the optimisation of results similarity coming from different analytical methods was then developed. In particular, the possibility to introduce chemical profiles obtained with Fast GC-FID in a GC-MS database is studied in this paper. By the use of the methodology, the similarity of results coming from different analytical methods can be objectively assessed and the utility in practice of database sharing by these methods can be evaluated, depending on profiling purposes (evidential vs. operational perspective tool). This methodology can be regarded as a relevant approach for database feeding by different analytical methods and puts in doubt the necessity to analyse all illicit drugs seizures in one single laboratory or to implement analytical methods harmonisation in each participating laboratory.

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Risks of significant infant drug exposure through human milk arepoorly defined due to lack of large-scale PK data. We propose to useBayesian approach based on population PK (popPK)-guided modelingand simulation for risk prediction. As a proof-of-principle study, weexploited fluoxetine milk concentration data from 25 women. popPKparameters including milk-to-plasma ratio (MP ratio) were estimatedfrom the best model. The dose of fluoxetine the breastfed infant wouldreceive through mother's milk, and infant plasma concentrations wereestimated from 1000 simulated mother-infant pairs, using randomassignment of feeding times and milk volume. A conservative estimateof CYP2D6 activity of 20% of the allometrically-adjusted adult valuewas assumed. Derived model parameters, including MP ratio were consistentwith those reported in the literature. Visual predictive check andother model diagnostics showed no signs of model misspecifications.The model simulation predicted that infant exposure levels to fluoxetinevia mother's milk were below 10% of weight-adjusted maternal therapeuticdoses in >99% of simulated infants. Predicted median ratio ofinfant-mother serum levels at steady state was 0.093 (range 0.033-0.31),consistent with literature reported values (mean=0.07; range 0-0.59).Predicted incidence of relatively high infant-mother ratio (>0.2) ofsteady-state serum fluoxetine concentrations was <1.3%. Overall, ourpredictions are consistent with clinical observations. Our approach maybe valid for other drugs, allowing in silico prediction of infant drugexposure risks through human milk. We will discuss application of thisapproach to another drug used in lactating women.