Nitazoxanide and azithromycin for the early treatment of COVID-19: A multi-spectroscopic, biochemical and computational drug–drug interaction study

Herein, we present an experimental and theoretical drug–drug interaction study between nitazoxanide (NTZ) and azithromycin (AZT) in an aqueous solution. Interaction was studied by using UV/Vis, fluorescence, attenuated total reflectance-fourier transform infrared (ATR-FTIR), and circular dichroism (CD) spectroscopy, while molecular docking studies were performed to establish the interaction computationally. A bright yellow color was observed when the two drugs interacted, giving a hyperchromic band at 420 nm. The rate of absorbance was linearly increased by increasing drug concentrations and in a time-dependent manner. Stability of the interaction complex (i.e., NTZ: AZT) was measured at variable temperatures (25–80°C), pH (5.0–10.0) and ionic strength (0.05–2.0 M NaCl), and not only proved stable but also retained antimicrobial potential with reduced cellular toxicity. Mole ratio and Job's method of continuous variations were used to establish the binding stoichiometry and found to be 2:1. The calculated binding constant (kb = 8,400 M−1) and Gibb's free energy (ΔG° = −22.4 KJ/mol) also suggested an energetically favorable interaction. FTIR spectra of NTZ: AZT complex in comparison with two drugs alone revealed significant interaction which was nicely complemented by molecular docking studies. Interaction was also successfully demonstrated in presence of carrier protein HSA and by spiking the two drugs in real samples of human plasma and urine. © 2023 The Chemical Society Located in Taipei & Wiley-VCH GmbH.

A case report of a prolonged decrease in tacrolimus clearance due to co-administration of nirmatrelvir/ritonavir in a lung transplant recipient receiving itraconazole prophylaxis.

BACKGROUND: Drug-drug interaction management is complex. Nirmatrelvir/ritonavir is a potent cytochrome P450 (CYP) 3A inhibitor and influences pharmacokinetics of co-administered drugs. Although there are several reports about drug-drug interactions of nirmatrelvir/ritonavir, an influence of a concomitant use of nirmatrelvir/ritonavir and another potent CYP3A inhibitor on tacrolimus remains unclear. Here, we experienced a lung transplant patient with the novel coronavirus disease 2019 (COVID-19). In this patient, nirmatrelvir/ritonavir was administered, and the inhibitory effect of itraconazole on CYP3A was prolonged. CASE PRESENTATION: We present a case in forties who had undergone lung transplantation. He was administered itraconazole and tacrolimus 1.0 mg/d, with a trough value of 8-12 ng/mL. The patient contracted the COVID-19, and a nirmatrelvir/ritonavir treatment was initiated. During the antiviral treatment, tacrolimus administration was discontinued for 5 d. Tacrolimus was resumed at 1.0 mg/d after completion of the nirmatrelvir/ritonavir treatment, but the trough value after 7 d was high at 31.6 ng/mL. Subsequently, the patient was placed on another 36-h tacrolimus discontinuation, but the trough value decreased to only 16.0 ng/mL. CONCLUSIONS: Co-administration of ritonavir caused a prolonged decrease in tacrolimus clearance through its inhibitory effects on CYP3A in a patient taking itraconazole. Management of drug-drug interaction by pharmacists can be important for patients with multiple medications.

Nirmatrelvir/ritonavir (Paxlovid®): French pharmacovigilance survey 2022.

INTRODUCTION: Nirmatrelvir/ritonavir (Paxlovid®) is currently one of the few therapeutic options for coronavirus disease 2019 (COVID-19) curative treatment in non-oxygen-requiring adult patients at-high risk of progressing to severe disease. This recently approved boosted antiviral therapy presents a significant risk of drug-drug interactions (DDI). As part of the enhanced surveillance program in France for COVID-19 drugs and vaccines, the French national pharmacovigilance database (BNPV [base nationale de pharmacovigilance]) was queried in order to better characterize the drug safety profile, with a special focus on DDI. The aim of the study was to describe the adverse drug reactions reported through the BNPV. METHOD: All nirmatrelvir/ritonavir reports validated in the BNPV from the first authorization in France (January, 20th 2022) to December, 3rd 2022 (date of the query) were considered. An analysis of the scientific literature (PubMed®) and from the WHO pharmacovigilance database (Vigibase) was also performed. RESULTS: Over this period (11 months), 228 reports (40% of serious reports) were registered with a sex ratio of 1.9 female/1 male and a mean age of 66 years old. DDI reports account for more than 13% of reports (n=30) and were mainly related to immunosuppressive drugs overexposure (n=16). A total of 10/228 reports with fatal outcomes were reported in complex clinical settings. The main reported unexpected adverse drug reaction (ADRs) were high blood pressure (n=7), confusion (n=5), acute kidney injuries (AKI, n=7) and various skin reactions (n=22). Apart from situations of disease recurrence (not found in this analysis), data from Pubmed® and Vigibase also reported the above-mentioned events of interest. CONCLUSION: Overall, this analysis shows that nirmatrelvir/ritonavir safety profile was conform to current summary of product characteristics (SmPC). The main concern was the risk of DDI. Therefore, SmPC and expert recommendations should be systematically consulted before initiation of this antiviral, which is particularly indicated in polypharmacy patients. A case-by-case multidisciplinary approach including a clinical pharmacologist is required in these complex situations. Blood pressure elevation, confusion, cutaneous reactions and AKIs were the main unexpected ADRs of interest to follow, but need to be confirmed with a qualitative approach over time and new reports.

Overview of Drug-Drug Interactions Between Ritonavir-Boosted Nirmatrelvir (Paxlovid) and Targeted Therapy and Supportive Care for Lung Cancer.

Introduction: Oral administration of ritonavir-boosted nirmatrelvir (Paxlovid) was found to be promising in the treatment of coronavirus disease 2019. The active antiviral component nirmatrelvir in Paxlovid is co-formulated with ritonavir, a strong cytochrome P450 (CYP) 3A4 inhibitor. Many oral targeted therapies indicated for lung cancer are known substrates of CYP 3A4, and concurrent use with Paxlovid may lead to potential drug-drug interaction (DDI). The purpose of this review is to evaluate the potential DDI between targeted therapies and supportive care for lung cancer and ritonavir-boosted nirmatrelvir. Methods: Drug database search in PubMed and the Food and Drug Administration was conducted to identify pharmacokinetic data on oral tyrosine kinase inhibitors (TKIs) used in NSCLC, both Food and Drug Administration approved and those in development. Metabolism pathways for various TKIs are extracted, and the impact of TKI area under the curves and maximum concentration by strong CYP 3A4 inducers and inhibitors is summarized. The most common toxicities and supportive care medications for the TKI were identified. Results: Among EGFR and exon 20 insertion inhibitors, afatinib is least likely to be affected by CYP 3A4, followed by dacomitinib and osimertinib. Among ALK inhibitors, alectinib is the least susceptible to CYP 3A4. ROS1 inhibitors are affected by CYP 3A4 inhibition with the exception of crizotinib. Among MET inhibitors, capmatinib is substantially affected by CYP 3A4 inhibition. Drug exposure of RET inhibitors is expected to increase with CYP 3A4 inhibition, with selpercatinib being the least affected. Certain supportive care medications for lung cancer TKI may have relevant DDIs. Conclusions: The clinical impact of the DDI between lung cancer TKI and ritonavir-boosted nirmatrelvir varies largely on the basis of the susceptibility of CYP 3A4 inhibition caused by the antiviral. Close monitoring and medication adjustments (i.e., dose changes or alternative coronavirus disease 2019 therapy) can be used to overcome DDI to ensure patient safety.

COVID-19 drugs: potential interaction with ATP-binding cassette transporters P-glycoprotein and breast cancer resistance protein.

Background: The coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2, has resulted in acute respiratory distress, fatal systemic manifestations (extrapulmonary as well as pulmonary), and premature mortality among many patients. Therapy for COVID-19 has focused on the treatment of symptoms and of acute inflammation (cytokine storm) and the prevention of viral infection. Although the mechanism of COVID-19 is not fully understood, potential clinical targets have been identified for pharmacological, immunological, and vaccinal approaches. Area covered: Pharmacological approaches including drug repositioning have been a priority for initial COVID-19 therapy due to the time-consuming nature of the vaccine development process. COVID-19 drugs have been shown to manage the antiviral infection cycle (cell entry and replication of proteins and genomic RNA) and anti-inflammation. In this review, we evaluated the interaction of current COVID-19 drugs with two ATP-binding cassette transporters [P-glycoprotein (P-gp) and breast cancer resistance protein (BCRP)] and potential drug-drug interactions (DDIs) among COVID-19 drugs, especially those associated with P-gp and BCRP efflux transporters. Expert opinion: Overall, understanding the pharmacodynamic/pharmacokinetic DDIs of COVID-19 drugs can be useful for pharmacological therapy in COVID-19 patients.

The investigation of the complex population-drug-drug interaction between ritonavir-boosted lopinavir and chloroquine or ivermectin using physiologically-based pharmacokinetic modeling.

OBJECTIVES: Therapy failure caused by complex population-drug-drug (PDDI) interactions including CYP3A4 can be predicted using mechanistic physiologically-based pharmacokinetic (PBPK) modeling. A synergy between ritonavir-boosted lopinavir (LPVr), ivermectin, and chloroquine was suggested to improve COVID-19 treatment. This work aimed to study the PDDI of the two CYP3A4 substrates (ivermectin and chloroquine) with LPVr in mild-to-moderate COVID-19 adults, geriatrics, and pregnancy populations. METHODS: The PDDI of LPVr with ivermectin or chloroquine was investigated. Pearson's correlations between plasma, saliva, and lung interstitial fluid (ISF) levels were evaluated. Target site (lung epithelial lining fluid (ELF)) levels of ivermectin and chloroquine were estimated. RESULTS: Upon LPVr coadministration, while the chloroquine plasma levels were reduced by 30, 40, and 20%, the ivermectin plasma levels were increased by a minimum of 425, 234, and 453% in adults, geriatrics, and pregnancy populations, respectively. The established correlation equations can be useful in therapeutic drug monitoring (TDM) and dosing regimen optimization. CONCLUSIONS: Neither chloroquine nor ivermectin reached therapeutic ELF levels in the presence of LPVr despite reaching toxic ivermectin plasma levels. PBPK modeling, guided with TDM in saliva, can be advantageous to evaluate the probability of reaching therapeutic ELF levels in the presence of PDDI, especially in home-treated patients.

Tacrolimus Drug-Drug Interaction with Nirmatrelvir/Ritonavir (Paxlovid™) Managed with Phenytoin.

INTRODUCTION: The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 or COVID-19) pandemic has had a significant impact on communities and health systems. The Federal Drug Administration (FDA) authorized Pfizer's nirmatrelvir/ritonavir (Paxlovid™) through an EUA for the treatment of mild to moderate cases of COVID-19 at high risk for progression to severe disease. Patients with a history of transplant who test positive for COVID-19 are considered high risk because of their immunosuppression and are therefore candidates for nirmatrelvir/ritonavir. CASE REPORT: This is a case of a 67-year-old female with a past medical history of orthotopic heart transplant who received tacrolimus as part of her immunosuppressive regimen. She originally presented with complaints of dyspnea and cough for several days in the setting of COVID-19. The patient was started on nirmatrelvir/ritonavir due to her high risk for progression to severe disease. Four days after starting nirmatrelvir/ritonavir, she presented to the ED for slowed speech, fatigue, weakness, and loss of appetite. Upon admission she was found to have a supratherapeutic tacrolimus level of 176.4 ng/mL and an acute kidney injury. In this case, phenytoin was used as a CYP3A4 inducer to quickly decrease the tacrolimus level to within therapeutic range. CONCLUSION: This case highlights the strong and important drug-drug interaction between tacrolimus and nirmatrelvir/ritonavir leading to toxic levels of tacrolimus. It also demonstrates the utility and effectiveness of phenytoin as a "rescue" medication for tacrolimus toxicity.

Possible agent for COVID-19 treatment: Rifampicin.

Rifampicin is a promising drug for the treatment of coronavirus disease 2019 based on its antiviral properties and recent in silico studies. In silico studies can serve as a foundation for further studies.

Safety, Tolerability, and Pharmacokinetics of the Novel Antiviral Agent Ensitrelvir Fumaric Acid, a SARS-CoV-2 3CL Protease Inhibitor, in Healthy Adults.

Ensitrelvir is a novel selective inhibitor of the 3C-like protease of SARS-CoV-2, which is essential for viral replication. This phase 1 study of ensitrelvir assessed its safety, tolerability, and pharmacokinetics of single (part 1, n = 50) and multiple (part 2, n = 33) ascending oral doses. Effect of food on the pharmacokinetics of ensitrelvir, differences in pharmacokinetics of ensitrelvir between Japanese and white participants, and effect of ensitrelvir on the pharmacokinetics of midazolam (a cytochrome P450 3A [CYP3A] substrate) were also assessed. In part 1, Japanese participants were randomized to placebo or ensitrelvir at doses of 20, 70, 250, 500, 1,000, or 2,000 mg. In part 2, Japanese and white participants were randomized to placebo or once-daily ensitrelvir at loading/maintenance dose 375/125 mg or 750/250 mg for 5 days. Most treatment-related adverse events observed were mild in severity and were resolved without treatment. Plasma exposures showed almost dose proportionality, and geometric mean half-life of ensitrelvir following the single dose was 42.2 to 48.1 h. Food intake reduced Cmax and delayed Tmax of ensitrelvir but did not impact the area under the curve (AUC), suggesting suitability for administration without food restriction. Compared with Japanese participants, plasma exposures were slightly lower for white participants. Ensitrelvir affected the pharmacokinetics of CYP3A substrates because of increase in AUC of midazolam coadministered with ensitrelvir 750/250 mg on day 6. In conclusion, ensitrelvir was well-tolerated and demonstrated favorable pharmacokinetics, including a long half-life, supporting once-daily oral dosing. These results validate further assessments of ensitrelvir in participants with SARS-CoV-2 infection.

[Treatments for SARS-CoV-2 infection: A retrospective study of drug-drug interactions and safety]. / Médicaments utilisés dans la prise en charge de l'infection à SARS-CoV-2 : étude rétrospective des principales associations à risque d'interactions médicamenteuses et des effets indésirables médicamenteux.

OBJECTIVES: The aim of the study is to provide an overview of Drug-drug Interactions (DDIs) and adverse effects caused by drugs used in SARS-CoV-2 infection during the first epidemic wave. METHODS: We retrospectively analyzed patients treated by drugs used in SARS-CoV-2 infection (Azithromycin, Hydroxychloroquine and/or Lopinavir/ritonavir) between 15th March 2020 to 17th April 2020. A review of adverse events and DDI-risky drug association on medical record was conducted for each patient. Each adverse events was analyzed by the Centre régional de pharmacovigilance (CRPV) to assess causality of drugs used in SARS-CoV-2 infection. RESULTS: A total of 312 precriptions were analyzed during the period, of which 110 prescriptions had 157 drug association at risk of DDIs; 26 adverse events were reported. Causality assessment by CRPV concluded that 10 (35,7 %) adverse effects were possibly related to SARS-CoV-2 drugs with only 2 (7,1 %) related to DDIs. CONCLUSIONS: Despite risk of adverse drug reactions and DDIs related to drugs used in SARS-CoV-2 infection, few iatrogenics diseases were found.

Development and Validation of an HPLC-UV Method for the Quantification of 4'-Hydroxydiclofenac Using Salicylic Acid: Future Applications for Measurement of In Vitro Drug-Drug Interaction in Rat Liver Microsomes.

Salicylic acid is a key compound in nonsteroidal anti-inflammatory drugs that has been recently used for preventing the risk of hospitalization and death among COVID-19 patients and in preventing colorectal cancer (CRC) by suppressing two key proteins. Understanding drug-drug interaction pathways prevent the occurrence of adverse drug reactions in clinical trials. Drug-drug interactions can result in the variation of the pharmacodynamics and pharmacokinetic of the drug. Inhibition of the Cytochrome P450 enzyme activity leads to the withdrawal of the drug from the market. The aim of this paper was to develop and validate an HPLC-UV method for the quantification of 4'-hydroxydiclofenac as a CYP2C9 metabolite using salicylic acid as an inhibitor in rat liver microsomes. A CYP2C9 assay was developed and validated on the reversed phase C18 column (SUPELCO 25 cm × 4.6 mm × 5 µm) using a low-pressure gradient elution programming at T = 30 °C, a wavelength of 282 nm, and a flow rate of 1 mL/min. 4'-hydroxydiclofenac demonstrated a good linearity (R2 > 0.99), good reproducibility, low detection, and quantitation limit, and the inter and intra-day precision met the ICH guidelines (<15%). 4'-hydroxydiclofenac was stable for three days and showed an acceptable accuracy and recovery (80-120%) within the ICH guidelines in a rat liver microsome sample. This method will be beneficial for future applications of the in vitro inhibitory effect of salicylic acid on the CYP2C9 enzyme activity in rat microsomes and the in vivo administration of salicylic acid in clinical trials.

Drug interaction risk between cardioprotective drugs and drugs used in treatment of COVID-19: A evidence-based review from six databases.

BACKGROUND AND AIMS: This Review discusses the potential drug interactions risk between Drugs used in treating COVID-19 infection and Drugs used in treating comorbid conditions (Diabetes, hypertension, cardiovascular illness). METHOD: Six Databases were consulted a) Micromedex drug interaction b) Medicine complete.com c) Liverpool Drug Interaction Group for COVID-19 therapies d) Epocrates e) Medscape f) drugs.com. To acquire information on possible interaction effects between drugs used for COVID-19 treatment such as atazanavir, lopinavir/ritonavir, remdesivir, molnupiravir, paxlovid(nirmatrelvir/ritonavir), dexamethasone, azithromycin, chloroquine, and FDA approved monoclonal antibodies with primarily used antidiabetic drugs, antihypertensive drugs, and drugs acting on the cardiovascular system. RESULTS: Potential interaction effects such as worsening glycemic control were prominent with lopinavir/ritonavir and the primarily used antidiabetic drugs, which needs dosage adjustment and close monitoring. The risk of hypotension and irregular heart rhythm is the potential interaction effects with concomitant use of drugs for COVID-19 treatment and antihypertensive drugs. Caution is advised with drugs such as atazanavir and lopinavir/ritonavir when concomitantly used in treating comorbid conditions. Drugs such as remdesivir, molnupiravir, and some monoclonal antibodies are safer in use with drugs used in treating the comorbid condition. CONCLUSIONS: Drug-drug interaction remains one of the significant factors in altering the therapeutic efficacy. Drugs used to manage comorbid conditions may influence the COVID-19 treatment with potential interaction effects. These enhance the view on safety concerns about the drug interaction risk in managing COVID-19 infection in patients with comorbid conditions. This primary evidence may concern preventing potential or unintentional effects resulting from Drug-drug interaction, Improving patient quality of life.

Examination of the Impact of CYP3A4/5 on Drug–Drug Interaction between Schizandrol A/Schizandrol B and Tacrolimus (FK-506): A Physiologically Based Pharmacokinetic Modeling Approach

Schizandrol A (SZA) and schizandrol B (SZB) are two active ingredients of Wuzhi capsule (WZC), a Chinese proprietary medicine commonly prescribed to alleviate tacrolimus (FK-506)-induced hepatoxicity in China. Due to their inhibitory effects on cytochrome P450 (CYP) 3A enzymes, SZA/SZB may display drug–drug interaction (DDI) with tacrolimus. To identify the extent of this DDI, the enzymes’ inhibitory profiles, including a 50% inhibitory concentration (IC50) shift, reversible inhibition (RI) and time-dependent inhibition (TDI) were examined with pooled human-liver microsomes (HLMs) and CYP3A5-genotyped HLMs. Subsequently, the acquired parameters were integrated into a physiologically based pharmacokinetic (PBPK) model to quantify the interactions between the SZA/SZB and the tacrolimus. The metabolic studies indicated that the SZB displayed both RI and TDI on CYP3A4 and CYP3A5, while the SZA only exhibited TDI on CYP3A4 to a limited extent. Moreover, our PBPK model predicted that multiple doses of SZB would increase tacrolimus exposure by 26% and 57% in CYP3A5 expressers and non-expressers, respectively. Clearly, PBPK modeling has emerged as a powerful approach to examine herb-involved DDI, and special attention should be paid to the combined use of WZC and tacrolimus in clinical practice.

How far are we from predicting multi-drug interactions during treatment for COVID-19 infection?

Seriously ill patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and hospitalized in intensive care units (ICUs) are commonly given a combination of drugs, a process known as multi-drug treatment. After extracting data on drug-drug interactions with clinical relevance from available online platforms, we hypothesize that an overall interaction map can be generated for all drugs administered. Furthermore, by combining this approach with simulations of cellular biochemical pathways, we may be able to explain the general clinical outcome. Finally, we postulate that by applying this strategy retrospectively to a cohort of patients hospitalized in ICU, a prediction of the timing of developing acute kidney injury (AKI) could be made. Whether or not this approach can be extended to other diseases is uncertain. Still, we believe it represents a valuable pharmacological insight to help improve clinical outcomes for severely ill patients.

Influence of traditional Chinese medicines on the in vivo metabolism of lopinavir/ritonavir based on UHPLC-MS/MS analysis.

A fast, reliable, and cost-effective liquid chromatography-tandem mass spectrometry method was established to determine the effects of the traditional Chinese medicine employed to treat coronavirus disease 2019, namely, Lianhua Qingwen granules, Huoxiang Zhengqi capsules, Jinhua Qinggan granules, Shufeng Jiedu capsules, and Angong Niuhuang pills, on the pharmacokinetics of lopinavir/ritonavir in rats. Blood samples were prepared using the protein precipitation method and atazanavir was selected as the internal standard (IS). Separation was performed on an Agilent ZORBAX eclipse plus C18 (2.1 mm × 50 mm, 1.8 µm) column using acetonitrile and water containing 0.1% formic acid as the mobile phase for gradient elution. The flow rate was 0.4 mL/min and the injection volume was 2 µL. Agilent Jet Stream electrospray ionization was used for mass spectrometry detection under positive ion multiple reaction monitoring mode at a transition of m/z 629.3→447.3 for lopinavir, m/z 721.3→296.1 for ritonavir, and m/z 705.4→168.1 for the IS. The method showed good linearity in the concentration range of 25-2500 ng/mL (r=0.9981) for lopinavir and 5-500 ng/mL (r=0.9984) for ritonavir. The intra-day and inter-day precision and accuracy were both within ±15%. Items, such as dilution reliability and residual effect, were also within the acceptable limits. The method was used to determine the effects of five types of traditional Chinese medicines on the pharmacokinetics of lopinavir/ritonavir in rats. The pharmacokinetic results showed that the half-life of ritonavir in the groups administered Lianhua Qingwen granules and Huoxiang Zhengqi capsules combined with lopinavir/ritonavir was prolonged by approximately 1.5- to 2-fold relative to that in the control group. Similarly, the pharmacokinetic parameters of lopinavir were altered. Overall, the results of this study offer important theoretical parameters for the effective clinical use of five types of traditional Chinese medicines combined with lopinavir/ritonavir to reduce the occurrence of clinical adverse reactions.

A Comprehensive Review of Pharmacokinetics and Pharmacodynamics in Animals: Exploration of Interaction with Antibiotics of Shuang-Huang- Lian Preparations.

As a traditional Chinese medicine (TCM), Shuang-Huang-Lian (SHL) has been widely used for treating infectious diseases of the respiratory tract such as encephalitis, pneumonia, and asthma. During the past few decades, considerable research has focused on pharmacological action, pharmacokinetic interaction with antibiotics, and clinical applications of SHL. A huge and more recent body of pharmacokinetic studies support the combination of SHL and antibiotics have different effects such as antagonism and synergism. SHL has been one of the best-selling TCM products. However, there is no systematic review of SHL preparations, ranging from protection against respiratory tract infections to interaction with antibiotics. Since their important significance in clinical therapy, the pharmacodynamics, pharmacokinetics, and interactions with antibiotics of SHL were reviewed and discussed. In addition, this review attempts to explore the possible potential mechanism of SHL preparations in the prevention and treatment of COVID-19. We are concerned about the effects of SHL against viruses and bacteria, as well as its interactions with antibiotics in an attempt to provide a new strategy for expanding the clinical research and medication of SHL preparations.

Discovering DTI and DDI by Knowledge Graph with MHRW and Improved Neural Network

Drug discovery is of great significance in medical and biological research, while the study of Drug-Target Interaction (DTI) and Drug-Drug Interaction (DDI) can help accelerate drug discovery progress. This paper proposes a new hybrid method for DTI prediction and DDI prediction, which is called MHRW2Vec-TBAN that combines graph representation learning and neural network. MHRW2VecTBAN first constructs knowledge graph KG-DTI and KG-DDI that integrate data related to drugs and targets. Then, an improved graph representation learning model, MHRW2Vec model, is used to obtain feature vectors of reflecting the network structure information for improving the performance of representation learning. Finally, the feature vectors obtained are input to the improved neural network model TextCNN-BiLSTM-Attention Network (TBAN). The experimental results show that, compared with other existing methods, our method could discover more deeper the relationship between drugs and their potential neighborhoods, and has great improvements in DTI prediction and DDI prediction. In addition, the case study of prediction COVID-19 DTI also shows that the proposed model has the potential for actual drug discovery. © 2021 IEEE.

Strategy for the control of drug-induced liver injury due to investigational treatments/drugs for COVID-19.

Investigational treatments/drugs for coronavirus disease 2019 (COVID-19) have been applied, with repurposed or newly developed drugs, and their effectiveness has been evaluated. Some of these drugs may be hepatotoxic, and each monotherapy or combination therapy may increase the risk of drug-induced liver injury (DILI). We should aim to control dysregulation of liver function, as well as the progression of COVID-19, as much as possible. We discussed the potential risks of investigational treatments/drugs and promising drugs for both COVID-19 and DILI due to investigational treatments/drugs.

Retrospective evaluation of an observational cohort by the Central and Eastern Europe Network Group shows a high frequency of potential drug-drug interactions among HIV-positive patients receiving treatment for coronavirus disease 2019 (COVID-19).

OBJECTIVES: The aim of this international multicentre study was to review potential drug-drug interactions (DDIs) for real-life coadministration of combination antiretroviral therapy (cART) and coronavirus disease 2019 (COVID-19)-specific medications. METHODS: The Euroguidelines in Central and Eastern Europe Network Group initiated a retrospective, observational cohort study of HIV-positive patients diagnosed with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Data were collected through a standardized questionnaire and DDIs were identified using the University of Liverpool's interaction checker. RESULTS: In total, 524 (94.1% of 557) patients received cART at COVID-19 onset: 117 (22.3%) were female, and the median age was 42 (interquartile range 36-50) years. Only 115 (21.9%) patients were hospitalized, of whom 34 required oxygen therapy. The most frequent nucleoside reverse transcriptase inhibitor (NRTI) backbone was tenofovir disoproxil fumarate (TDF)/tenofovir alafenamide (TAF) with lamivudine or emtricitabine (XTC) (79.3%) along with an integrase strand transfer inhibitor (INSTI) (68.5%), nonnucleoside reverse transcriptase inhibitor (NNRTI) (17.7%), protease inhibitor (PI) (13.7%) or other (2.5%). In total, 148 (28.2%) patients received COVID-19-specific treatments: corticosteroids (15.7%), favipiravir (7.1%), remdesivir (3.1%), hydroxychloroquine (2.7%), tocilizumab (0.6%) and anakinra (0.2%). In total, 62 DDI episodes were identified in 58 patients (11.8% of the total cohort and 41.9% of the COVID-19-specific treatment group). The use of boosted PIs and elvitegravir accounted for 43 DDIs (29%), whereas NNRTIs were responsible for 14 DDIs (9.5%). CONCLUSIONS: In this analysis from the Central and Eastern European region on HIV-positive persons receiving COVID-19-specific treatment, it was found that potential DDIs were common. Although low-dose steroids are mainly used for COVID-19 treatment, comedication with boosted antiretrovirals seems to have the most frequent potential for DDIs. In addition, attention should be paid to NNRTI coadministration.

Clozapine and COVID-19: A Case Report and Clinical Considerations.

BACKGROUND: The emergence of coronavirus SARS-CoV-2, and the subsequent global epidemic of COVID-19, brought with it innumerable new clinical experiences across all medical specialties, and psychiatry is no exception. Individuals with serious mental illness, in particular schizophrenia and related disorders, may be especially susceptible to coronavirus infection given the overlapping risk factors of vulnerable sociodemographic status, increased challenges with quarantining requirements, and limited compliance with "respiratory etiquette." The case presented here describes a patient with schizophrenia who was being managed on clozapine and who developed symptomatic COVID-19 infection. Special care was taken to ensure that potential interactions between clozapine and the associated COVID-19 treatments were safe for the patient's mental and physical wellbeing. CASE PRESENTATION: A 71-year-old schizophrenic Caucasian male is being managed with clozapine. While hospitalized, the patient was screened positive for COVID-19 and was admitted to the ICU due to his declining respiratory status. He was treated with both remdesivir and prednisone. He was able to fully recover from his COVID-19 infection. CONCLUSION: The authors review the clinical characteristics of the case, highlighting both the overlapping synergistic effects and antagonistic influences of clozapine therapy in combination with COVID-19 and its associated treatments. A review of the literature offers an opportunity to examine various frameworks for individualized clinical decision-making while making the case for greater epidemiologic research into the optimal management of individuals with a psychotic disorder who are diagnosed with COVID-19 infection.