Environmental enrichment is known to improve brain plasticity and protect synaptic function from negative insults. In the present study we used the exposure to social enrichment to ameliorate the negative effect observed in post weaning isolated male rats in which neurotrophic factors, neurogenesis, neuronal dendritic trees and spines were altered markedly in the hippocampus. After the 4 weeks of post-weaning social isolation followed by 4 weeks of reunion, different neuronal growth markers as well as neuronal morphology were evaluated using different experimental approaches. Social enrichment restored the reduction of BDNF, NGF and Arc gene expression in the whole hippocampus of social isolated rats. This effect was paralleled by an increase in density and morphology of dendritic spines, as well as in neuronal tree arborisation in granule cells of the dentate gyrus. These changes were associated with a marked increase in neuronal proliferation and neurogenesis in the same hippocampal subregion that were reduced by social isolation stress. These results further suggest that the exposure to social enrichment, by abolishing the negative effect of social isolation stress on hippocampal plasticity, may improve neuronal resilience with a beneficial effect on cognitive function.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.neuropharm.2019.03.030 | DOI Listing |
PLoS One
January 2025
The School of Finance, Hunan University of Technology and Business, Changsha, PR China.
As enterprise leaders, CEOs play a critical role in driving enterprise investment in pollution control. However, few studies have explored the motivations behind enterprise investment in pollution control, primarily how CEOs' early experiences influence their decisions. Based on the perspective of imprinting theory, this study examines the impact of CEOs with government work experience on enterprise investment in pollution control and the boundary conditions of this impact.
View Article and Find Full Text PDFPNAS Nexus
January 2025
Max Planck Institute for Intelligent Systems, Tübingen 72076, Germany.
Networked datasets can be enriched by different types of information about individual nodes or edges. However, most existing methods for analyzing such datasets struggle to handle the complexity of heterogeneous data, often requiring substantial model-specific analysis. In this article, we develop a probabilistic generative model to perform inference in multilayer networks with arbitrary types of information.
View Article and Find Full Text PDFPharmgenomics Pers Med
January 2025
Department of Clinical Medicine, North Sichuan Medical College, Nanchong, Sichuan, 637000, People's Republic of China.
Background: Autism spectrum disorder (ASD) is a complex neurodevelopmental condition marked by diverse symptoms affecting social interaction, communication, and behavior. This research aims to explore bacterial lipopolysaccharide (LPS)- and immune-related (BLI) molecular subgroups in ASD to enhance understanding of the disorder.
Methods: We analyzed 89 control samples and 157 ASD samples from the GEO database, identifying BLI signatures using least absolute shrinkage and selection operator regression (LASSO) and logistic regression machine learning algorithms.
J Med Humanit
January 2025
Department of Health & Society, University of Toronto Scarborough (UTSC), Toronto, ON, M1C1A4, Canada.
This article explores the rise of comics-based research (CBR) as an innovative method for disseminating and translating academic findings to broader audiences. Rooted in the established use of comics in technical communication, CBR takes the unique strengths of graphic media-accessibility, multimodal engagement, and visual storytelling-to communicate complex concepts to diverse audiences, particularly in health-related disciplines. A recent development in this field is the comic research abstract, a concise, visually enriched alternative to traditional textual abstracts.
View Article and Find Full Text PDFJ Anim Sci
January 2025
Department of Animal Science, Federal University of Viçosa, Viçosa, MG, 36570-900, Brazil.
Pig production is an agricultural sector of great economic and social relevance to Brazil and global markets. Feed efficiency traits directly influence the sustainability of pig production due to the economic impact of feed costs on the production system and the environmental footprint of the industry. Therefore, breeding for improved feed efficiency has been a target of worldwide pig breeding programs.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!