A current study by Kitai et al. found that ovariectomy before estrogen/female sex hormone sensitization at puberty provided protection against kidney ischemia reperfusion injury, challenging the general consensus within the field that estrogen provides renoprotective function. These results are intriguing and could have important clinical implications, while requiring some clarification and substantiation of the conclusions reported.
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http://dx.doi.org/10.1016/j.kint.2024.10.017 | DOI Listing |
J Clin Neurosci
January 2025
Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing 100053, China; China International Neuroscience Institute (China-INI), Beijing 100053, China; Department of Interventional Neuroradiology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China. Electronic address:
Unlabelled: Carotid Blowout Syndrome (CBS) is a rare and life-threatening condition that necessitates prompt intervention to prevent fatal hemorrhage. This study compares the outcomes of two primary endovascular approaches: reconstructive interventions, which aim to preserve carotid artery function using stents or balloon angioplasty, and deconstructive interventions, which involve vessel occlusion to halt bleeding. A systematic review and meta-analysis were performed by searching multiple databases for relevant studies published from January 2000 to August 2023.
View Article and Find Full Text PDFNeural Netw
January 2025
School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China.
Spiking Neural Networks (SNNs) are at the forefront of computational neuroscience, emulating the nuanced dynamics of biological systems. In the realm of SNN training methods, the conversion from ANNs to SNNs has generated significant interest due to its potential for creating energy-efficient and biologically plausible models. However, existing conversion methods often require long time-steps to ensure that the converted SNNs achieve performance comparable to the original ANNs.
View Article and Find Full Text PDFGeroscience
January 2025
Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Aging remains the foremost risk factor for cardiovascular and cerebrovascular diseases, surpassing traditional factors in epidemiological significance. This review elucidates the cellular and molecular mechanisms underlying vascular aging, with an emphasis on sex differences that influence disease progression and clinical outcomes in older adults. We discuss the convergence of aging processes at the macro- and microvascular levels and their contributions to the pathogenesis of vascular diseases.
View Article and Find Full Text PDFCurr Nutr Rep
January 2025
Discipline of Dietetics, Department of Nursing and Allied Health, School of Health Sciences, Swinburne University of Technology, SPW203, Swinburne Place West Building, 1 John St, Hawthorn, VIC, 3122, Australia.
Purpose Of Review: This systematic review examines the effectiveness of breastfeeding interventions involving fathers, focusing on their impact on exclusive breastfeeding rates and paternal attitudes towards breastfeeding. The study aims to highlight the crucial role of fathers in antenatal breastfeeding promotion programs and their potential to enhance breastfeeding outcomes.
Recent Findings: A systematic review was conducted following the 2020 PRISMA guidelines, searching PubMed, CINAHL, and Medline databases for randomized controlled trials and quasi-experimental studies published after December 2017.
Cogn Affect Behav Neurosci
January 2025
Departamento de Psicología ClínicaPsicobiología y MetodologíaFacultad de Psicología, Universidad de La Laguna, La Laguna, 38200, Tenerife, Spain.
Small animal phobia (SAP) is a subtype of specific phobia characterized by an intense and irrational fear of small animals, which has been underexplored in the neuroscientific literature. Previous studies often faced limitations, such as small sample sizes, focusing on only one neuroimaging modality, and reliance on univariate analyses, which produced inconsistent findings. This study was designed to overcome these issues by using for the first time advanced multivariate machine-learning techniques to identify the neural mechanisms underlying SAP.
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