Synthetic Naphthoquinone Derivatives as Anticancer Agents in Ovarian Cancer: Cytotoxicity Assay and Investigation of Possible Biological Mechanisms Action.

In this study, eight naphthoquinone derivatives were synthesized in yields ranging from 52 to 96% using easy, fast, and low-cost methodologies. All naphthoquinone derivatives were screened for their in vitro anti-proliferative activities against OVCA A2780 cancer cell lines. Amongst all analysed compounds, derivatives 3-5 presented the most prominent cytotoxic potential.

Behavior and oxidative stress parameters in rats subjected to the animal's models induced by chronic mild stress and 6-hydroxydopamine.

Major depressive disorder (MDD) is one of the most prevalent forms of mental illness also affecting older adults. Recent evidence suggests a relationship between MDD and neurodegenerative diseases, including Parkinson's disease (PD). Individuals with PD have a predisposition to developing MDD, and both neurobiological conditions are associated with oxidative stress.

Genetic Characterization of Mangalarga Marchador Breed Horses Based on Microsatellite Molecular Markers.

The Mangalarga Marchador (MM) horse breed has expressive importance in the Brazilian economy. Thus, the aim of this study was to investigate diversity in the MM breed. A database with a total of 3,193 genotyped horses was used (MM, n = 2,829; Andalusian - AND, n = 67; Pure Blood Lusitano - LUS, n = 43; English Thoroughbred - THO, n = 54; Arabian - ARA, n = 99; Campolina - CAM, n = 61; and Mangalarga - MAN, n = 40) for 13 microsatellite.

Correction: Tournaments between markers as a strategy to enhance genomic predictions.

[This corrects the article DOI: 10.1371/journal.pone.

Tournaments between markers as a strategy to enhance genomic predictions.

Analysis of a large number of markers is crucial in both genome-wide association studies (GWAS) and genome-wide selection (GWS). However there are two methodological issues that restrict statistical analysis: high dimensionality (p≫n) and multicollinearity. Although there are methodologies that can be used to fit models for data with high dimensionality (eg, the Bayesian Lasso), a big problem that can occurs in this cases is that the predictive ability of the model should perform well for the individuals used to fit the model, but should not perform well for other individuals, restricting the applicability of the model.