scholarly journals CYP450 drug inducibility in NAFLD via an in vitro hepatic model: Understanding drug-drug interactions in the fatty liver

2022 ◽  
Vol 146 ◽  
pp. 112377
Author(s):  
Camilo Rey-Bedon ◽  
Peony Banik ◽  
Aslihan Gokaltun ◽  
O. Hofheinz ◽  
Martin.L. Yarmush ◽  
...  
Keyword(s):  
Drug Interactions ◽  
Fatty Liver ◽  
Model Understanding

Pharmacokinetic Drug-drug Interaction of Antibiotics Used in Sepsis Care in China

2020 ◽  
Vol 21 ◽  
Author(s):  
Xuan Yu ◽  
Zixuan Chu ◽  
Jian Li ◽  
Rongrong He ◽  
Yaya Wang ◽  
...  
Keyword(s):  
Drug Interaction ◽  
Drug Interactions ◽  
Penicillin G ◽  
Literature Mining ◽  
Human Pharmacokinetics ◽  
P450 Enzyme ◽  
Drug Drug Interaction ◽  
Pharmacokinetic Drug ◽  
Sepsis Care

Background: Many antibiotics have a high potential for having an interaction with drugs, as perpetrator and/or victim, in critically ill patients, and particularly in sepsis patients. Methods: The aim of this review is to summarize the pharmacokinetic drug-drug interaction (DDI) of 45 antibiotics commonly used in sepsis care in China. Literature mining was conducted to obtain human pharmacokinetics/dispositions of the antibiotics, their interactions with drug metabolizing enzymes or transporters, and their associated clinical drug interactions. Potential DDI is indicated by a DDI index > 0.1 for inhibition or a treated-cell/untreated-cell ratio of enzyme activity being > 2 for induction. Results: The literature-mined information on human pharmacokinetics of the identified antibiotics and their potential drug interactions is summarized. Conclusion: Antibiotic-perpetrated drug interactions, involving P450 enzyme inhibition, have been reported for four lipophilic antibacterials (ciprofloxacin, erythromycin, trimethoprim, and trimethoprim-sulfamethoxazole) and three lipophilic antifungals (fluconazole, itraconazole, and voriconazole). In addition, seven hydrophilic antibacterials (ceftriaxone, cefamandole, piperacillin, penicillin G, amikacin, metronidazole, and linezolid) inhibit drug transporters in vitro. Despite no reported clinical PK drug interactions with the transporters, caution is advised in the use of these antibacterials. Eight hydrophilic antibacterials (all β-lactams; meropenem, cefotaxime, cefazolin, piperacillin, ticarcillin, penicillin G, ampicillin, and flucloxacillin), are potential victims of drug interactions due to transporter inhibition. Rifampin is reported to perpetrate drug interactions by inducing CYP3A or inhibiting OATP1B; it is also reported to be a victim of drug interactions, due to the dual inhibition of CYP3A4 and OATP1B by indinavir. In addition, three antifungals (caspofungin, itraconazole, and voriconazole) are reported to be victims of drug interactions because of P450 enzyme induction. Reports for other antibiotics acting as victims in drug interactions are scarce.

Review on the Clinical Pharmacology of Hydroxychloroquine Sulfate for the Treatment of COVID-19

2020 ◽  
Vol 21 (6) ◽  
pp. 427-435 ◽  
Author(s):  
Cheng Cui ◽  
Siqi Tu ◽  
Valerie Sia Jie En ◽  
Xiaobei Li ◽  
Xueting Yao ◽  
...  
Keyword(s):  
Drug Interactions ◽  
Clinical Efficacy ◽  
Relevant Literature ◽  
The United States ◽  
Efficacy And Safety ◽  
Open Label ◽  
Infected People ◽  
Treatment Regimens ◽  
Therapeutic Drugs

Background: 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. Methods: We used the keyword "hydroxychloroquine" to conduct a literature search in PubMed to collect relevant literature on the mechanism of action of HCQ, its clinical efficacy and safety, pharmacokinetic characteristics, precautions for clinical use and drug interactions to extract and organize information. Results: This paper reviews the mechanism, clinical efficacy and safety, pharmacokinetic characteristics, exposureresponse relationship and precautions and drug interactions of HCQ, and summarizes dosage recommendations for HCQ sulfate. Conclusion: 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.

scholarly journals Drug interactions: a review of the unseen danger of experimental COVID-19 therapies

2020 ◽  
Vol 75 (12) ◽  
pp. 3417-3424 ◽  
Author(s):  
Catherine Hodge ◽  
Fiona Marra ◽  
Catia Marzolini ◽  
Alison Boyle ◽  
Sara Gibbons ◽  
...  
Keyword(s):  
Drug Interactions ◽  
Herbal Medicines ◽  
Qt Prolongation ◽  
Critically Ill Patient ◽  
Experimental Drugs ◽  
Mesh Terms ◽  
Experimental Therapies ◽  
Clinically Significant ◽  
Novel Coronavirus

Abstract As global health services respond to the coronavirus pandemic, many prescribers are turning to experimental drugs. This review aims to assess the risk of drug–drug interactions in the severely ill COVID-19 patient. Experimental therapies were identified by searching ClinicalTrials.gov for ‘COVID-19’, ‘2019-nCoV’, ‘2019 novel coronavirus’ and ‘SARS-CoV-2’. The last search was performed on 30 June 2020. Herbal medicines, blood-derived products and in vitro studies were excluded. We identified comorbidities by searching PubMed for the MeSH terms ‘COVID-19’, ‘Comorbidity’ and ‘Epidemiological Factors’. Potential drug–drug interactions were evaluated according to known pharmacokinetics, overlapping toxicities and QT risk. Drug–drug interactions were graded GREEN and YELLOW: no clinically significant interaction; AMBER: caution; RED: serious risk. A total of 2378 records were retrieved from ClinicalTrials.gov, which yielded 249 drugs that met inclusion criteria. Thirteen primary compounds were screened against 512 comedications. A full database of these interactions is available at www.covid19-druginteractions.org. Experimental therapies for COVID-19 present a risk of drug–drug interactions, with lopinavir/ritonavir (10% RED, 41% AMBER; mainly a perpetrator of pharmacokinetic interactions but also risk of QT prolongation particularly when given with concomitant drugs that can prolong QT), chloroquine and hydroxychloroquine (both 7% RED and 27% AMBER, victims of some interactions due to metabolic profile but also perpetrators of QT prolongation) posing the greatest risk. With management, these risks can be mitigated. We have published a drug–drug interaction resource to facilitate medication review for the critically ill patient.

scholarly journals Adipocyte PHLPP2 inhibition prevents obesity-induced fatty liver

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
KyeongJin Kim ◽  
Jin Ku Kang ◽  
Young Hoon Jung ◽  
Sang Bae Lee ◽  
Raffaela Rametta ◽  
...  
Keyword(s):  
Fatty Liver ◽  
Whole Body ◽  
Acid Oxidation ◽  
Chow Diet ◽  
Peroxisome Proliferator ◽  
Obese Mice ◽  
Ph Domain ◽  
Peroxisome Proliferator Activated Receptor

AbstractIncreased adiposity confers risk for systemic insulin resistance and type 2 diabetes (T2D), but mechanisms underlying this pathogenic inter-organ crosstalk are incompletely understood. We find PHLPP2 (PH domain and leucine rich repeat protein phosphatase 2), recently identified as the Akt Ser473 phosphatase, to be increased in adipocytes from obese mice. To identify the functional consequence of increased adipocyte PHLPP2 in obese mice, we generated adipocyte-specific PHLPP2 knockout (A-PHLPP2) mice. A-PHLPP2 mice show normal adiposity and glucose metabolism when fed a normal chow diet, but reduced adiposity and improved whole-body glucose tolerance as compared to Cre- controls with high-fat diet (HFD) feeding. Notably, HFD-fed A-PHLPP2 mice show increased HSL phosphorylation, leading to increased lipolysis in vitro and in vivo. Mobilized adipocyte fatty acids are oxidized, leading to increased peroxisome proliferator-activated receptor alpha (PPARα)-dependent adiponectin secretion, which in turn increases hepatic fatty acid oxidation to ameliorate obesity-induced fatty liver. Consistently, adipose PHLPP2 expression is negatively correlated with serum adiponectin levels in obese humans. Overall, these data implicate an adipocyte PHLPP2-HSL-PPARα signaling axis to regulate systemic glucose and lipid homeostasis, and suggest that excess adipocyte PHLPP2 explains decreased adiponectin secretion and downstream metabolic consequence in obesity.

Prediction of CYP2D6 Drug Interactions from In Vitro Data: Evidence for Substrate-Dependent Inhibition

2011 ◽  
Vol 40 (1) ◽  
pp. 47-53 ◽  
Author(s):  
Brooke M. VandenBrink ◽  
Robert S. Foti ◽  
Dan A. Rock ◽  
Larry C. Wienkers ◽  
Jan L. Wahlstrom
Keyword(s):  
Drug Interactions ◽  
Dependent Inhibition ◽  
Vitro Data ◽  
In Vitro Data

scholarly journals Combined Ensemble Docking and Machine Learning in Identification of Therapeutic Agents with Potential Inhibitory Effect on Human CES1

Molecules ◽  
2019 ◽  
Vol 24 (15) ◽  
pp. 2747 ◽  
Author(s):  
Eliane Briand ◽  
Ragnar Thomsen ◽  
Kristian Linnet ◽  
Henrik Berg Rasmussen ◽  
Søren Brunak ◽  
...  
Keyword(s):  
Machine Learning ◽  
Drug Interactions ◽  
Scoring Function ◽  
Docking Study ◽  
Inhibitory Effect ◽  
Therapeutic Agents ◽  
Learning Approaches ◽  
Ensemble Docking ◽  
Ic50 Values

The human carboxylesterase 1 (CES1), responsible for the biotransformation of many diverse therapeutic agents, may contribute to the occurrence of adverse drug reactions and therapeutic failure through drug interactions. The present study is designed to address the issue of potential drug interactions resulting from the inhibition of CES1. Based on an ensemble of 10 crystal structures complexed with different ligands and a set of 294 known CES1 ligands, we used docking (Autodock Vina) and machine learning methodologies (LDA, QDA and multilayer perceptron), considering the different energy terms from the scoring function to assess the best combination to enable the identification of CES1 inhibitors. The protocol was then applied on a library of 1114 FDA-approved drugs and eight drugs were selected for in vitro CES1 inhibition. An inhibition effect was observed for diltiazem (IC50 = 13.9 µM). Three others drugs (benztropine, iloprost and treprostinil), exhibited a weak CES1 inhibitory effects with IC50 values of 298.2 µM, 366.8 µM and 391.6 µM respectively. In conclusion, the binding site of CES1 is relatively flexible and can adapt its conformation to different types of ligands. Combining ensemble docking and machine learning approaches improves the prediction of CES1 inhibitors compared to a docking study using only one crystal structure.

scholarly journals Hierarchy of evidence in interpretation of clinical significance of drug interactions

2012 ◽  
Vol 65 (1-2) ◽  
pp. 45-49
Author(s):  
Bozana Nikolic ◽  
Miroslav Savic
Keyword(s):  
Drug Metabolism ◽  
Drug Interactions ◽  
Clinical Significance ◽  
Health Professionals ◽  
Molecular Entity ◽  
Population Pharmacokinetic ◽  
Pharmacokinetic Studies ◽  
Potential Interactions

Introduction. Since drug interactions may result in serious adverse effects or failure of therapy, it is of huge importance that health professionals base their decisions about drug prescription, dispensing and administration on reliable research evidence, taking into account the hierarchy of data sources for evaluation. Clinical Significance of Potential Interactions - Information Sources. The sources of data regarding drug interactions are numerous, beginning with various drug reference books. However, they are far from uniformity in the way of choosing and presenting putative clinically relevant interactions. Clinical Significance of Potential Interactions - Interpretation of Information. The difficulties in interpretation of drug interactions are illustrated through the analysis of a published example involving assessment made by two different groups of health professionals. Systematic Evaluation of Drug-Drug Interaction. The potential for interactions is mainly investigated before marketing a drug. Generally, the in vitro, followed by in vivo studies are to be performed. The major metabolic pathways involved in the metabolism of a new molecular entity, as well as the potential of induction of human enzymes involved in drug metabolism are to be examined. In the field of interaction research it is possible to make use of the population pharmacokinetic studies as well as of the pharmacodynamic assessment, and also the postregistration monitoring of the reported adverse reactions and other literature data. Conclusion. In vitro and in vivo drug metabolism and transport studies should be conducted to elucidate the mechanisms and potential for drug-drug interactions. The assessment of their clinical significance should be based on well-defined and validated exposure-response data.

Sign in / Sign up

Export Citation Format

Share Document