RESUMO
Over the past few years, COVID-19 has caused widespread suffering worldwide. There is great research potential in this domain and it is also necessary. The main objective of this study was to identify potential inhibitors against acid sphingomyelinase (ASM) in order to prevent coronavirus infection. Experimental studies revealed that SARS-CoV-2 causes activation of the acid sphingomyelinase/ceramide pathway, which in turn facilitates the viral entry into the cells. The objective was to inhibit acid sphingomyelinase activity in order to prevent the cells from SARS-CoV-2 infection. Previous studies have reported functional inhibitors against ASM (FIASMAs). These inhibitors can be exploited to block the entry of SARS-CoV-2 into the cells. To achieve our objective, a drug library containing 257 functional inhibitors of ASM was constructed. Computational molecular docking was applied to dock the library against the target protein (PDB: 5I81). The potential binding site of the target protein was identified through structural alignment with the known binding pocket of a protein with a similar function. AutoDock Vina was used to carry out the docking steps. The docking results were analyzed and the inhibitors were screened based on their binding affinity scores and ADME properties. Among the 257 functional inhibitors, Dutasteride, Cepharanthine, and Zafirlukast presented the lowest binding affinity scores of -9.7, -9.6, and -9.5 kcal/mol, respectively. Furthermore, computational ADME analysis of these results revealed Cepharanthine and Zafirlukast to have non-toxic properties. To further validate these findings, the top two inhibitors in complex with the target protein were subjected to molecular dynamic simulations at 100 ns. The molecular interactions and stability of these compounds revealed that these inhibitors could be a promising tool for inhibiting SARS-CoV-2 infection.
Assuntos
COVID-19 , Humanos , SARS-CoV-2 , Simulação de Acoplamento Molecular , Reposicionamento de Medicamentos , Esfingomielina Fosfodiesterase , Inibidores de Proteases/química , Simulação de Dinâmica Molecular , Antivirais/farmacologiaRESUMO
OBJECTIVE: Integrase inhibitors, including dolutegravir (DTG), are associated with weight gain and obesity, especially when combined with tenofovir alafenamide (TAF). Obesity increases the risk of adverse pregnancy outcomes (APOs). This study aimed to predict the risk of APOs caused by treatment-associated obesity, using a hypothetical sample based on the ADVANCE trial. DESIGN: Risk prediction. METHODS: Firstly, a meta-analysis was performed to determine the relative risk (RR) for APOs in women with obese (≥30) versus normal prepregnancy BMIs (18.5-24.9). For the hypothetical sample, 3000 nonpregnant women with normal BMIs at Week 0 of treatment were evenly allocated across the following treatment arms: TAF/FTC+DTG, TDF/FTC+DTG, TDF/FTC/EFV. The treatment-associated obesity rates from ADVANCE were used to calculate the number of women with obese and normal BMIs expected at Week 96 in our sample. This was combined with the APO RRs to predict the number of women at risk of APOs, in each treatment arm, assuming they conceived at Week 96. RESULTS: At Week 96, the percentage of women predicted to be obese was 14.1% with TAF/FTC+DTG, 7.9% with TDF/FTC+DTG and 1.5% with TDF/FTC/EFV. The RR in women with obese versus normal BMIs was significantly higher for most APOs. Therefore, the number of women at risk of APOs was higher with TAF/FTC+DTG than TDF/FTC+DTG and TDF/FTC/EFV. For example, 11/1000 additional gestational hypertension cases were predicted with TAF/FTC+DTG, 6/1000 with TDF/FTC+DTG and 1/1000 with TDF/FTC/EFV. CONCLUSION: Treatment-associated obesity increased the APO risk in women. This risk is likely to increase, as preliminary data from ADVANCE demonstrates ongoing weight gain beyond Week 96.
