Graft-to-recipient weight ratio and risk of systemic inflammatory response syndrome early after liver transplantation in children.

BACKGROUND: Systemic inflammatory responses soon after liver transplantation in children can lead to complications and poor outcomes, so here we examined potential risk factors of such responses. METHODS: Data were retrospectively analyzed for 69 children who underwent liver transplantation at a single center between July 2017 and November 2019 through follow-up lasting up to one years. Numerous clinicodemographic factors were compared between those who suffered early systemic inflammatory response syndrome (SIRS) or not. RESULTS: Of the 69 patients in our analysis, early SIRS occurred in 35 [50.7%, 95% confidence interval (CI), 38.6-62.8%]. Those patients showed significantly higher graft-to-recipient weight ratio (3.69 ± 1.26 vs. 3.12 ± 0.99%, P = 0.042) and lower survival rate at one year (85.7% vs. 100%, P = 0.023). Multivariate analysis found graft-to-recipient weight ratio > 4% to be an independent risk factor for early SIRS [odds ratio (OR) 3.8, 95% CI 1.08-13.371, P = 0.037], and a cut-off value of 4.04% predicted the syndrome in our patients, and area under the receiver operating characteristic curve of 0.656 (95% CI 0.525-0.788, P = 0.026). CONCLUSIONS: Graft-to-recipient weight ratio > 4% may predict higher risk of SIRS soon after liver transplantation in children.

Computer-aided drug design for virtual-screening and active-predicting of main protease (Mpro) inhibitors against SARS-CoV-2.

Introduction: SARS-CoV-2 is a novel coronavirus with highly contagious and has posed a significant threat to global public health. The main protease (Mpro) is a promising target for antiviral drugs against SARS-CoV-2. Methods: In this study, we have used pharmacophore-based drug design technology to identify potential compounds from drug databases as Mpro inhibitors. Results: The procedure involves pharmacophore modeling, validation, and pharmacophore-based virtual screening, which identifies 257 compounds with promising inhibitory activity. Discussion: Molecular docking and non-bonding interactions between the targeted protein Mpro and compounds showed that ENA482732 was the best compound. These results provided a theoretical foundation for future studies of Mpro inhibitors against SARS-CoV-2.

Computer-aided drug design for the pain-like protease (PLpro) inhibitors against SARS-CoV-2.

A new coronavirus, known as Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), is a highly contagious virus and has caused a massive worldwide health crisis. While large-scale vaccination efforts are underway, the management of population health, economic impact and asof-yet unknown long-term effects on physical and mental health will be a key challenge for the next decade. The papain-like protease (PLpro) of SARS-CoV-2 is a promising target for antiviral drugs. This report used pharmacophore-based drug design technology to identify potential compounds as PLpro inhibitors against SARS-CoV-2. The optimal pharmacophore model was fully validated using different strategies and then was employed to virtually screen out 10 compounds with inhibitory. Molecular docking and non-bonding interactions between the targeted protein PLpro and compounds showed that UKR1129266 was the best compound. These results provided a theoretical foundation for future studies of PLpro inhibitors against SARS-CoV-2.

Anti-Alzheimer's disease potential of traditional chinese medicinal herbs as inhibitors of BACE1 and AChE enzymes.

Alzheimer's disease (AD) is a common neurodegenerative disease that often occurs in the elderly population. At present, most drugs for AD on the market are single-target drugs, which have achieved certain success in the treatment of AD. However, the efficacy and safety of single-target drugs have not achieved the expected results because AD is a multifactorial disease. Multi-targeted drugs act on multiple factors of the disease network to improve efficacy and reduce adverse reactions. Therefore, the search for effective dual-target or even multi-target drugs has become a new research trend. Many of results found that the dual-target inhibitors of the beta-site amyloid precursor protein cleaving enzyme 1 (BACE1) and acetylcholinesterase (AChE) found from traditional Chinese medicine have a good inhibitory effect on AD with fewer side effects. This article reviews sixty-six compounds extracted from Chinese medicinal herbs, which have inhibitory activity on BACE1 and AChE. This provides a theoretical basis for the further development of these compounds as dual-target inhibitors for the treatment of AD.