Obesogenic diets lead to overeating and obesity by inducing the expression of genes involved in hedonic and homeostatic responses in specific brain regions. However, how the effects on gene expression are coordinated in the brain so far remains largely unknown. In our study, we provided mice with access to energy-dense diet, which induced overeating and overweight, and we explored the transcriptome changes across the main regions involved in feeding and energy balance: hypothalamus, frontal cortex, and striatum. Interestingly, we detected two regulatory processes: a switch-like regulation with differentially expressed (DE) genes changing over 1.5-fold and "fine-tuned" subtler changes of genes whose levels correlated with body weight and behavioral changes. We found that genes in both categories were positioned within specific topologically associated domains (TADs), which were often differently regulated across different brain regions. These TADs were enriched in genes relevant for the physiological and behavioral observed changes. Our results suggest that chromatin structure coordinates diet-dependent transcriptional regulation.
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http://dx.doi.org/10.1523/ENEURO.0287-18.2018 | DOI Listing |
J Neurosurg
January 2025
Departments of1Neurological Surgery and.
The infiltrative and diffuse nature of gliomas makes complete resection unfeasible. Unfortunately, regions of brain parenchyma with residual, infiltrative tumor are protected by the blood-brain barrier (BBB), making systemic chemotherapies, small-molecule inhibitors, and immunotherapies of limited efficacy. Low-frequency focused ultrasound (FUS) in combination with intravascular microbubbles can be used to disrupt the BBB transiently and selectively within the tumor and peritumoral region.
View Article and Find Full Text PDFPLoS Biol
January 2025
Department of Cell and Systems Biology, University of Toronto, Toronto, Canada.
Successful resolution of approach-avoidance conflict (AAC) is fundamentally important for survival, and its dysregulation is a hallmark of many neuropsychiatric disorders, and yet the underlying neural circuit mechanisms are not well elucidated. Converging human and animal research has implicated the anterior/ventral hippocampus (vHPC) as a key node in arbitrating AAC in a region-specific manner. In this study, we sought to target the vHPC CA1 projection pathway to the nucleus accumbens (NAc) to delineate its contribution to AAC decision-making, particularly in the arbitration of learned reward and punishment signals, as well as innate signals.
View Article and Find Full Text PDFPLoS One
January 2025
Faculty of Medical Sciences, Department of Community Medicine, Cancer Research Center, University of Sri Jayewardenepura, Sri Jayewardenepura, Sri Lanka.
Objectives: In Sri Lanka, cancer is a significant contributor to both morbidity and mortality rates. In 2022, 33,243 new cancer cases were reported, resulting in an age- standardized incidence rate of 106.9 per 100,000 individuals.
View Article and Find Full Text PDFPLoS One
January 2025
Division of Neurosurgery, Department of Clinical Neuroscience, University of Cambridge, Addenbrooke's Hospital, Cambridge, United Kingdom.
Introduction: Given its proximity to the central nervous system, surgical site infections (SSIs) after craniotomy (SSI-CRAN) represent a serious adverse event. SSI-CRAN are associated with substantial patient morbidity and mortality. Despite the recognition of SSI in other surgical fields, there is a paucity of evidence in the neurosurgical literature devoted to skin closure, specifically in patients with brain tumors.
View Article and Find Full Text PDFPLoS Comput Biol
January 2025
Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
The "similarity of dissimilarities" is an emerging paradigm in biomedical science with significant implications for protein function prediction, machine learning (ML), and personalized medicine. In protein function prediction, recognizing dissimilarities alongside similarities provides a more detailed understanding of evolutionary processes, allowing for a deeper exploration of regions that influence biological functionality. For ML models, incorporating dissimilarity measures helps avoid misleading results caused by highly correlated or similar data, addressing confounding issues like the Doppelgänger Effect.
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