Autophagy is a lysosomal degradation pathway that regulates cellular homeostasis. It is constitutively active in neurons and controls the essential steps of neuronal development, leading to its dysfunction in neurodevelopmental disorders. Although mTOR-associated impaired autophagy has previously been reported in neurodevelopmental disorders, there is lack of information about the dysregulation of mTOR-independent autophagy in neurodevelopmental disorders. In this study, we investigated whether the loss of Epac2, involved in the mTOR-independent pathway, affects autophagy activity and whether the activity of autophagy is associated with social-behavioral phenotypes in mice with Epac2 deficiencies. We observed an accumulation of autophagosomes and a significant increase in autophagic flux in Epac2-deficient neurons, which had no effect on mTOR activity. Next, we examined whether an increase in autophagic activity contributed to the social behavior exhibited in Epac2 mice. The social recognition deficit observed in Epac2 mice recovered in double transgenic Epac2: Atg5 mice. Our study suggests that excessive autophagy due to Epac2 deficiencies may contribute to social recognition defects through an mTOR-independent pathway.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8240198 | PMC |
http://dx.doi.org/10.1186/s13041-021-00814-6 | DOI Listing |
Pilot Feasibility Stud
January 2025
Department of Health Service & Population Research, David Goldberg Centre, King's College London, Denmark Hill, London, UK.
Background: Mental health disorders are one of the leading causes of illness globally. The importance of psychosocial skills acquired in early childhood, such as executive functions, inhibitory control, emotional regulation, and social problem-solving, in preventing mental disorders has been reported. Furthermore, mental health care delivery is evolving, and mobile technology is becoming the medium for assessment and intervention.
View Article and Find Full Text PDFAm J Hum Genet
January 2025
Institute of Human Genetics, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany; Institute of Human Genetics, University of Regensburg, 93053 Regensburg, Germany; Institute of Clinical Human Genetics, University Hospital Regensburg, 93053 Regensburg, Germany. Electronic address:
BCL11B is a Cys2-His2 zinc-finger (C2H2-ZnF) domain-containing, DNA-binding, transcription factor with established roles in the development of various organs and tissues, primarily the immune and nervous systems. BCL11B germline variants have been associated with a variety of developmental syndromes. However, genotype-phenotype correlations along with pathophysiologic mechanisms of selected variants mostly remain elusive.
View Article and Find Full Text PDFMil Med
January 2025
Veterans Affairs Quality Scholars Fellowship, Ralph H. Johnson VA Medical Center, Charleston, SC 29412, USA.
Introduction: Cardiovascular disease (CVD) is the leading cause of death for women in the United States, and U.S. female Veterans have higher rates of CVD compared to civilian women.
View Article and Find Full Text PDFHealth Promot Pract
January 2025
Kansas State University, Manhattan, USA.
This pilot, exploratory project examined the relationship among the health, work, and social support of university housekeepers. The first objective was to examine the influence of social support on work-related outcomes among university housekeepers. The secondary objective was to examine the influence of social support on physical and psychological health among housekeepers.
View Article and Find Full Text PDFSensors (Basel)
January 2025
School of Mathematics, Physics and Computing, University of Southern Queensland, Springfield, QLD 4300, Australia.
Objective: In this paper, we explore the correlation between performance reporting and the development of inclusive AI solutions for biomedical problems. Our study examines the critical aspects of bias and noise in the context of medical decision support, aiming to provide actionable solutions. Contributions: A key contribution of our work is the recognition that measurement processes introduce noise and bias arising from human data interpretation and selection.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!