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Selectivity of PDE5 inhibitors

Selectivity of PDE5 inhibitors

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Differences in clinical pharmacology of the currently marketed phosphodiesterase (PDE)5 inhibitors sildenafil, vardenafil and tadalafil are largely determined by their pharmacokinetic (PK) properties and their PDE5 inhibitory activity profile. This review outlines the basic concepts of pharmacokinetics and pharmacokinetic pharmacodynamic (PK/PD) re...

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Context 1
... of PDE5 inhibition is expressed as ratio between the IC 50 for a given PDE and the IC 50 for inhibition of PDE5. From the selectivity ratios listed in Table 2, it becomes obvious that potential side effects may arise from inhibition of PDE1, PDE6, or PDE11 during the pharmacotherapy with PDE5 inhibitors. [38][39][40] For PDE1, selectivity ratios for sildenafil and vardenafil are clearly below those of tadalafil, but have a relative wide margin of 41-136-fold selectiv- ity. ...
Context 2
... FDA recently reported a potential link between a small number of cases of vision loss owing to non-arteritic anterior ischemic optic neuropathy and the use of sildenafil, varde- nafil, and tadalafil. Tadalafil is clearly more selec- tive than either vardenafil or sildenafil towards PDE5 relative to PDE6 inhibition (Table 2). This difference in the selectivity ratio of tadalafil com- pared to sildenafil or vardenafil may account for the Pharmacokinetics and pharmacodynamics in PD-5 inhibitor therapy B Meibohm et al lower frequency of visual side effects with tadalafil (o0.1%) compared to sildenafil (e.g., color tinge to vision (chromatopsia), increased sensitivity to light or blurred vision in p3% of patients), or vardenafil (e.g. ...

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... Nevertheless, both systems exhibited a proper potential for the ASX-controlled release applications, and this behaviour may be extended to other phytotherapeutics and other applications in which high initial concentrations must be avoided [21,49,50]. Additionally, a delayed release may be useful in applications that require a time gap before the full release of the entrapped compound, such as imagining diagnostics applications, among others [32]. ...
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... to the American College of Cardiology, furthermore, a close hemodynamic monitoring should be performed (Abrams, 2004). According to the pharmacokinetic theory of sildenafil, it is primarily metabolized via CYP3A4, a potential drug interaction is with strong CYP3A4 inhibitors, which could cause elevated and prolonged serum concentrations of PDE5is and may resulted in hemodynamic disturbance (Mehrotra et al., 2007). Due to the hypotensive effect of sildenafil, the concomitant utilization of alpha-blockers may lead to orthostatic hypotension. ...
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... According to Mehrotra et al., 36 pharmacokinetics (PK-'what the body does to the drug') describes the time course of the concentration of a drug in a body fluid (plasma or blood) that results from the administration of a certain dosage regimen. Pharmacodynamics (PD-'what the drug does to the body'), on the other hand, describes the intensity of a drug effect in relation to its concentration in a body fluid, usually at the site of drug action. ...
... Pharmacodynamics (PD-'what the drug does to the body'), on the other hand, describes the intensity of a drug effect in relation to its concentration in a body fluid, usually at the site of drug action. 36 The HFIM system has the advantage that it is a highly controlled system. Multiple variables such as dosing and drug administration time can be accurately adjusted. ...
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... This PDE6 affinity of the sildenafil accounts for its visual abnormalities at higher dose. It has been reported that dose higher than 200 mg daily or AUC higher than 2600 ng.hr/ml or Cmax greater than 500 ng/ml intensify the risk of visual, gastrointestinal or vascular side effects [41,42]. ...
... Not only that, but older patients are also frequently advised to take lower dose. And if the patient is taking any kind of medication that inhibits or alters the metabolism of sildenafil by P450 enzymes, the dose of the drug must be matched that way [41,42]. ...
... The average ED50 value calculated from an Emax model experimentation was around 40 mg. However, for the diabetic patients the ED50 value was found to be more than 180 mg [41,42]. ...
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... The bioavailability of a drug represents the fraction of the administered dose which reaches the circulatory system unchanged (Mehrotra et al., 2006). Drug absorption mainly occurs in the small intestine (Murakami, 2017) and is subject to many influencing factors. ...
Thesis
Children require palatable medicines. Excipients can improve the acceptability of a formulation, enabling children to take their dose as prescribed to achieve therapeutic exposure to the active pharmaceutical ingredient (API). Sweeteners have traditionally been used but there are safety concerns associated and limited success with highly aversive API. Thus there is a need to identify new approaches, such as those which steer towards a taste-neutral formulation. In order to assess the efficacy of novel taste-masking excipients, appropriate preclinical models are needed. The Brief Access Taste Aversion (BATA) model is one such method which has been used successfully for predicting the aversiveness of API but more work needs to be done to understand the translatability when excipients are present. Some taste-masking excipients can have a negative impact on drug bioavailability and can decrease drug absorption in the gut as shown in adults. Children have a unique gut environment and therefore, there is a need to assess taste-masking excipients for such an effect in age-appropriate models. To further understanding of excipients’ impact on API bioavailability in children, this work achieved the following: 1) identified promising bitter-blockers (sodium acetate, sodium gluconate and Adenosine monophosphate sodium salt) using a novel ranking methodology. The three bitter-blockers were then assessed within liquid formulations but were unable to sufficiently taste-mask therapeutic doses of API. 2) Compared BATA and human data for taste-masking efficacy of a cyclodextrin and a maltodextrin. Differences in species tolerance to the dextrins were seen due to rat neophobia which, if not accounted for, would prevent an accurate pre-clinical prediction of the human response. 3) Compared the effect of sorbitol, a widely used sweetener, on API blood levels in juvenile and adult rats. Sorbitol negatively impacted the bioavailability of model drug in the same way independent of age. The knowledge generated helps inform how taste-masking excipients can be used safely and efficiently in children’s medicines.
... These reactions participate in different metabolic pathways according to their functions. Therefore, knowing which metabolic pathways that the molecular compounds in a drug are involved can help researchers understand how the drug is absorbed, distributed, metabolized, and excreted [2,3]. Specifically, a metabolic pathway is a series of biochemical reactions catalyzed by enzymes in cells, which form metabolites to use, store and trigger another metabolic pathway [4]. ...
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Background Making clear what kinds of metabolic pathways a drug compound involves in can help researchers understand how the drug is absorbed, distributed, metabolized, and excreted. The characteristics of a compound such as structure, composition and so on directly determine the metabolic pathways it participates in. Methods We developed a novel hybrid framework based on the graph attention network (GAT) to predict the metabolic pathway classes that a compound involves in, named HFGAT, by making use of its global and local characteristics. The framework mainly consists of a two-branch feature extracting layer and a fully connected (FC) layer. In the two-branch feature extracting layer, one branch is responsible to extract global features of the compound; and the other branch introduces a GAT consisting of two graph attention layers to extract local structural features of the compound. Both the global and the local features of the compound are then integrated into the FC layer which outputs the predicted result of metabolic pathway categories that the compound belongs to. Results We compared the multi-class classification performance of HFGAT with six other representative methods, including five classic machine learning methods and one graph convolutional network (GCN) based deep learning method, on the benchmark dataset containing 6999 compounds belonging to 11 pathway categories. The results showed that the deep learning-based methods (HFGAT, GCN-based method) outperformed the traditional machine learning methods in the prediction of metabolic pathways and our proposed HFGAT method performed better than the GCN-based method. Moreover, HFGAT achieved higher F1\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$F_1$$\end{document} scores on 8 of 11 classes than the GCN-based method. Conclusions Our proposed HFGAT makes use of both the global and local information of the compounds to predict their metabolic pathway categories and has achieved a significant performance. Compared with the GCN model, the introduction of the GAT can help our model pay more attention to substructures of the compound that are useful for the prediction task. The study provided a potential method for drug discovery with all types of metabolic reactions that may be involved in the decomposition and synthesis of pharmaceutical compounds in the organism.