"Estrogens and human brain networks: A systematic review of structural and functional neuroimaging studies".

Estrogen fluctuations during the menstrual cycle, puberty, postpartum, or in the menopausal transition are associated with cognitive, affective, and behavioral effects. Additionally, estrogens are essential in hormonal contraception, menopausal hormone therapy, or gender-affirming hormone therapy. This systematic review summarizes findings on the role of estrogens for structure, function, and connectivity of human brain networks.

Nanographene-Based Polymeric Nanoparticles as Near-Infrared Emissive Neuronal Tracers.

Precise tracking of axonal transport is key to deciphering neuronal functions. To achieve long-term imaging at both ultrastructural and macroscopic resolutions, it is critical to develop fluorescent transport tracers with high photostability and biocompatibility. Herein, we report the investigation of nanographene (NG)-based polymeric nanoparticles (NPs) as near-infrared (NIR)-emissive neuronal tracers.

Forecasting Staphylococcus aureus Infections Using Genome-Wide Association Studies, Machine Learning, and Transcriptomic Approaches.

Staphylococcus aureus is a major human and animal pathogen, colonizing diverse ecological niches within its hosts. Predicting whether an isolate will infect a specific host and its subsequent clinical fate remains unknown. In this study, we investigated the S.

Use of Microfluidics Chambers to Image Axonal transport in Adult Sensory Neurons.

Transport of cargoes along axons is crucial for ensuring effective neuronal function and survival. Lysosomes, which are membrane-bound organelles responsible for the degradation of macromolecules, are among the many cargoes being transported. Compartmentalized systems that allow for the separation of the somatic compartment from the axonal network, are widely used in the field of neurobiology and in the study of axonal transport in particular.

Omnibus testing approach for gene-based gene-gene interaction.

Genetic interaction is considered as one of the main heritable component of complex traits. With the emergence of genome-wide association studies (GWAS), a collection of statistical methods dedicated to the identification of interaction at the SNP level have been proposed. More recently, gene-based gene-gene interaction testing has emerged as an attractive alternative as they confer advantage in both statistical power and biological interpretation.