Current drug metabolism
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Current drug metabolism · Jan 2020
ReviewReview on the clinical pharmacology of hydroxychloroquine sulfate for the treatment of COVID-19.
As the number of severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) infected people is greatly increasing worldwide, the international medical situation becomes very serious. Potential therapeutic drugs, vaccine and stem cell replacement methods are emerging, so it is urgent to find specific therapeutic drugs and the best treatment regimens. After the publications on hydroxychloroquine (HCQ) with anti- SARS-COV-2 activity in vitro, a small, non-randomized, open-label clinical trial showed that HCQ treatment was significantly associated with reduced viral load in patients with coronavirus disease-19 (COVID-19). Meanwhile, a large prophylaxis study of HCQ sulfate for COVID-19 has been initiated in the United States. HCQ offered a promising efficacy in the treatment of COVID-19, but the optimal administration is still being explored. ⋯ It has been proved that HCQ, which has an established safety profile, is effective against SARS-CoV-2 with sufficient pre-clinical rationale and evidence. Data from high-quality clinical trials are urgently needed worldwide.
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The liver represents the major site of drug metabolism, i.e. the key organ in the processes of detoxification and elimination of drugs from the organism. It is therefore often affected by toxic metabolites and suffers sometimes fatal consequences. ⋯ They can range from transient cholestasis to vanishing bile duct syndrome and sclerosing cholangitis, both leading eventually to the development of biliary fibrosis and cirrhosis. In this review article, we focus on the etiology, predisposing factors, clinical manifestations, and histopathological characteristics of bile duct injury as a consequence of drug treatment and discuss separately the different bile duct pathologies.
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Drug discovery, which is the process of discovering new candidate medications, is very important for pharmaceutical industries. At its current stage, discovering new drugs is still a very expensive and time-consuming process, requiring Phases I, II and III for clinical trials. Recently, machine learning techniques in Artificial Intelligence (AI), especially the deep learning techniques which allow a computational model to generate multiple layers, have been widely applied and achieved state-of-the-art performance in different fields, such as speech recognition, image classification, bioinformatics, etc. One very important application of these AI techniques is in the field of drug discovery. ⋯ The main focus of this survey is to understand the current status of machine learning techniques in the drug discovery field within both academic and industrial settings, and discuss its potential future applications. Several interesting patterns for machine learning techniques in drug discovery fields are discussed in this survey.
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Current drug metabolism · Jan 2019
ReviewCancer Nanotechnology: A New Revolution for Cancer Diagnosis and Therapy.
Nanotechnology is gaining significant attention worldwide for cancer treatment. Nanobiotechnology encourages the combination of diagnostics with therapeutics, which is a vital component of a customized way to deal with the malignancy. Nanoparticles are being used as Nanomedicine which participates in diagnosis and treatment of various diseases including cancer. The unique characteristic of Nanomedicine i.e. their high surface to volume ratio enables them to tie, absorb, and convey small biomolecule like DNA, RNA, drugs, proteins, and other molecules to targeted site and thus enhances the efficacy of therapeutic agents. ⋯ This review highlights various approaches of cancer nanotechnology in the advancement of cancer therapy.
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Current drug metabolism · Jan 2019
CommentLetter to the Editor on "A System Pharmacology Study for Deciphering Anti Depression Activity of Nardostachys jatamansi".
This letter is with reference to a recent article published in Current Drug Metabolism; A System Pharmacology Study for Deciphering Anti Depression Activity of Nardostachys jatamansi. Unfortunately, there is a major error in the "material and method" section of the study, which jeopardizes the study's goal.