Rosuvastatin and ezetimibe – the optimal drug combination

2020 ◽  
Vol 13 (2) ◽  
pp. 171-172
Author(s):  
Krzysztof J. Filipiak
SciVee ◽  
2010 ◽  
Author(s):  
Yan Hu ◽  
Edward Platzer ◽  
Audrey Bellier ◽  
Raffi Aroian

2017 ◽  
Vol 22 (3) ◽  
pp. 289-305 ◽  
Author(s):  
Ieong Wong ◽  
Wenjia Liu ◽  
Chih-Ming Ho ◽  
Xianting Ding

Differential evolution (DE) has been applied extensively in drug combination optimization studies in the past decade. It allows for identification of desired drug combinations with minimal experimental effort. This article proposes an adaptive population-sizing method for the DE algorithm. Our new method presents improvements in terms of efficiency and convergence over the original DE algorithm and constant stepwise population reduction–based DE algorithm, which would lead to a reduced number of cells and animals required to identify an optimal drug combination. The method continuously adjusts the reduction of the population size in accordance with the stage of the optimization process. Our adaptive scheme limits the population reduction to occur only at the exploitation stage. We believe that continuously adjusting for a more effective population size during the evolutionary process is the major reason for the significant improvement in the convergence speed of the DE algorithm. The performance of the method is evaluated through a set of unimodal and multimodal benchmark functions. In combining with self-adaptive schemes for mutation and crossover constants, this adaptive population reduction method can help shed light on the future direction of a completely parameter tune-free self-adaptive DE algorithm.


2010 ◽  
Author(s):  
Fabiana C. Morales ◽  
Sergio Iadevaia ◽  
Yiling Lu ◽  
Prahlad Ram ◽  
Gordon B. Mills

2018 ◽  
Vol 20 (4) ◽  
pp. 1434-1448 ◽  
Author(s):  
Igor F Tsigelny

AbstractCurrently, the development of medicines for complex diseases requires the development of combination drug therapies. It is necessary because in many cases, one drug cannot target all necessary points of intervention. For example, in cancer therapy, a physician often meets a patient having a genomic profile including more than five molecular aberrations. Drug combination therapy has been an area of interest for a while, for example the classical work of Loewe devoted to the synergism of drugs was published in 1928—and it is still used in calculations for optimal drug combinations. More recently, over the past several years, there has been an explosion in the available information related to the properties of drugs and the biomedical parameters of patients. For the drugs, hundreds of 2D and 3D molecular descriptors for medicines are now available, while for patients, large data sets related to genetic/proteomic and metabolomics profiles of the patients are now available, as well as the more traditional data relating to the histology, history of treatments, pretreatment state of the organism, etc. Moreover, during disease progression, the genetic profile can change. Thus, the ability to optimize drug combinations for each patient is rapidly moving beyond the comprehension and capabilities of an individual physician. This is the reason, that biomedical informatics methods have been developed and one of the more promising directions in this field is the application of artificial intelligence (AI). In this review, we discuss several AI methods that have been successfully implemented in several instances of combination drug therapy from HIV, hypertension, infectious diseases to cancer. The data clearly show that the combination of rule-based expert systems with machine learning algorithms may be promising direction in this field.


2020 ◽  
Vol 75 (5) ◽  
pp. 514-522
Author(s):  
Alexey S. Ryazanov ◽  
Konstantin I. Kapitonov ◽  
Mariya V. Makarovskaya ◽  
Alexey A. Kudryavtsev

Background. Morbidity and mortality in patients with functional mitral regurgitation (FMR) remains high, however, no pharmacological therapy has been proven to be effective.Aimsto study the effect of sacubitrile/valsartan and valsartan on functional mitral regurgitation in chronic heart failure.Methods.This double-blind study randomly assigned sacubitrile/valsartan or valsartan in addition to standard drug therapy for heart failure among 100 patients with heart failure with chronic FMR (secondary to left ventricular (LV) dysfunction). The primary endpoint was a change in the effective area of the regurgitation hole during the 12-month follow-up. Secondary endpoints included changes in the volume of regurgitation, the final systolic volume of the left ventricle, the final diastolic volume of the left ventricle, and the area of incomplete closure of the mitral valves.Results.The decrease in the effective area of the regurgitation hole was significantly more pronounced in the sacubitrile/valsartan group than in the valsartan group (0.070.066against0.030.058sm2; p=0.018)in the treatment efficacy analysis, which included 100patients (100%). The regurgitation volume also significantly decreased in the sacubitrile/valsartan group compared to the valsartan group (mean difference:8.4ml; 95%CI, from 13.2 until 1.9;р=0.21). There were no significant differences between the groups regarding changes in the area ofincomplete closure of the mitral valves and LV volumes, with the exception of the index of the final LV diastolic volume (p=0.07).Conclusion.Among patients with secondary FMR, sacubitril/valsartan reduced MR more than valsartan. Thus, angiotensin receptor inhibitors and neprilysin can be considered for optimal drug treatment of patients with heart failure and FMR.


Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 1295-P
Author(s):  
SHUYAN GU ◽  
YI SHEN ◽  
LIZHENG SHI ◽  
HENGJIN DONG

Author(s):  
М.Н. Карпова ◽  
Л.В. Кузнецова ◽  
Н.Ю. Клишина ◽  
Л.А. Ветрилэ

Цель исследования. На 2 моделях острых генерализованных судорог (ОГС), вызванных конвульсантом пентилентетразолом (ПТЗ), изучить эффективность сочетанного применения ноотропа цитиколина - препарата с противосудорожным действием, нейрорегенеративной, нейропротекторной активностью и антител (АТ) к глутамату, обладающих противосудорожной активностью. Методика. Эксперименты выполнены на мышах-самцах линии C57Bl/6 (n = 87) массой 22-28 г. Эффективность сочетанного применения цитиколина и АТ к глутамату изучали на двух моделях ОГС. Выполнено 2 серии экспериментов. В 1-й серии ОГС вызывали внутривенным введением 1% раствора ПТЗ со скоростью 0,01 мл/с. Для изучения эффективности сочетанного применения препаратов определяли минимальное противосудорожное действие цитиколина (Цераксон, «Nicomed Ferrer Internaсional, S.A.») и АТ к глутамату при их внутрибрюшинном введении. С этой целью цитиколин вводили в дозах 500 и 300 мг/кг за 1 ч до введения ПТЗ, АТ к глутамату - в дозах 5 и 2,5 мг/кг за 1 ч 30 мин до введения ПТЗ. АТ к глутамату получали путем гипериммунизации кроликов соответствующим конъюгированным антигеном. Во 2-й серии ОГС вызывали подкожным введением ПТЗ в дозе 85 мг/кг. Для изучения эффективности сочетанного действия изучаемых препаратов последние вводили в минимально действующих дозах, установленных в 1-й серии экспериментов. Контролем во всех сериях опытов служили животные, которым вводили в аналогичных условиях и в том же объеме физиологический раствор. Результаты. Показано, что сочетанное применение цитиколина и АТ к глутамату в минимально действующих дозах (300 и 2,5 мг/кг соответственно) при моделировании ОГС не вызывало повышения судорожной активности мозга и усиления противосудорожных свойств препаратов. Заключение. Cочетанное применение цитиколина и АТ к глутамату в минимально действующих дозах не вызывало повышения судорожной активности мозга, что свидетельствует о безопасности совместного применения препаратов. Проведенное исследование может служить также экспериментальным обоснованием возможности использования сочетанного применения данных препаратов при судорогах с целью замедления прогрессирования нейродегенеративных процессов и благоприятного влияния на когнитивные функции. Aim. To study the effectivity of a combination of citicoline, a nootropic substance with neuroregenerative, neuroprotective, and anticonvulsant actions, and glutamate antibodies (АB) with an anticonvulsant action in two models of acute generalized convulsions (AGC) caused by the convulsant pentylenetetrazole (PTZ). Methods. Experiments were conducted on C57Bl/6 mice (n = 87) weighing 22-28 g. Effects of combined citicoline and glutamate АB were studied on two models of AGС. In the first series of experiments, AGС was induced by intravenous infusion of a 1% PTZ solution at 0.01 ml/sec. In the second series, AGС was induced by a subcutaneous injection of PTZ 85 mg/kg. To evaluate efficacy of the drug combination minimum intraperitoneal anticonvulsant doses of citicoline (Tserakson, Nicomed Ferrer Internacional, S.A.) and glutamate АB were determined. To this purpose, citicoline was administered at 500 and 300 mg/kg 1 h prior to PTZ, and glutamate АB was administered at 5 and 2.5 mg/kg 90 min prior to PTZ. Glutamate АB was obtained by hyperimmunization of rabbits with a respective conjugated antigen. In the second series of experiments, AGС was induced by a subcutaneous injection of PTZ 85 mg/kg. To evaluate the effect of the drug combination, the drugs were administered at the minimum effective doses determined in the first series of experiment. Control animals were injected with the same volume of saline in the same experimental conditions. Results. The combination of citicoline and glutamate AB used at minimum effective doses of 300 and 2.5 mg/kg, respectively, did not increase the seizure activity in the brain and enhanced anticonvulsant properties of the drugs in two models of AGС. Conclusion. The combination of citicoline and glutamate AT at minimum effective doses did not increase the convulsive activity in the brain, which supported safety of the drug combination. Besides, this study can serve as an experimental justification for using the drug combination in convulsions to favorably influence cognitive functions and slow progression of neurodegenerative processes.


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