PAV-05 Naphthoquinone Potently Inhibit Zika Virus Replication in Infected Cells.

Background: Zika (ZIKV) is a virus transmitted by mosquitoes that can cause Guillain- Barré syndrome and congenital malformations like microcephaly. Given its explosive resurgence and the resulting epidemics in 2016, the search for effective antiviral drugs has become absolutely necessary.

Methods: In this study, we examined the potential of naphthoquinone derivatives that have a sulfonamide or sulfonate group to inhibit ZIKV replication in primary cultured neurons and in Vero cells.

Clinical and analytical monitoring of patients with multiple sclerosis on anti-CD20 therapeutics: a real-world safety profile study.

Background: Anti-CD20 monoclonal antibodies are a class of immunosuppressive drugs widely used in the treatment of central nervous system (CNS) inflammatory diseases, with well-established efficacy and safety. Although rare, these therapies can be associated with serious adverse events including hematological and infectious complications. This study aims to evaluate their safety and tolerability profile in real-world clinical practice.

Social network for guardians of transgender children and adolescents.

Objective: To analyze the social network of mothers, fathers or guardians of transgender children or adolescents.

Methods: This was a qualitative study, based on the theoretical framework of social network, with a focus on the primary network. The study was conducted in Brazil through online interviews between August and October 2021.

Enhancing mammography: a comprehensive review of computer methods for improving image quality.

Mammography imaging remains the gold standard for breast cancer detection and diagnosis, but challenges in image quality can lead to misdiagnosis, increased radiation exposure, and higher healthcare costs. This comprehensive review evaluates traditional and machine learning-based techniques for improving mammography image quality, aiming to benefit clinicians and enhance diagnostic accuracy. Our literature search, spanning 2015 - 2024, identified 115 articles focusing on contrast enhancement and noise reduction methods, including histogram equalization, filtering, unsharp masking, fuzzy logic, transform-based techniques, and advanced machine learning approaches.

A pioneering longterm experiment on mesophotic macrofouling communities in the North Atlantic.

The mesophotic zone represents one of our planet's largest and least explored biomes. An increasing number of studies evidence the importance of macrofouling species in marine ecosystems, but information on these communities and the factors influencing their structures at mesophotic depths remain poor. This lack of understanding limits our ability to predict anthropogenic impacts or conduct restoration operations in the mesophotic and the lower boundary of the euphotic zones.