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http://dx.doi.org/10.1016/S2215-0366(15)00517-9 | DOI Listing |
Alzheimers Dement
December 2024
Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
With the advent of anti-amyloid monoclonal antibody (AAMA) therapy, precision diagnosis is necessary for identifying appropriate patients with cognitive disorders due to Alzheimer's disease. Therapy with AAMAs requires that candidates be diagnosed with mild cognitive impairment or mild dementia, have elevated brain amyloid-β, have good physical, psychiatric, and medical health, and lack clinical or biomarker evidence of potentially impactful non-Alzheimer brain disorders. The first three diagnostic activities are the core of the Clinical Practice Guidelines, but the last element of the precision diagnosis requires new decision-making tools for recognizing multi-etiology cognitive impairment.
View Article and Find Full Text PDFTransl Psychiatry
December 2024
Center for Substance Abuse Research, Temple University, Philadelphia, PA, USA.
Recent progress in psychiatric research has highlighted neuroinflammation in the pathophysiology of opioid use disorder (OUD), suggesting that heightened immune responses in the brain may exacerbate opioid-related mechanisms. However, the molecular mechanisms resulting from neuroinflammation that impact opioid-induced behaviors and transcriptional pathways remain poorly understood. In this study, we have begun to address this critical knowledge gap by exploring the intersection between neuroinflammation and exposure to the opioid heroin, utilizing lipopolysaccharide (LPS)-induced neuroinflammation, to investigate transcriptional changes in the nucleus accumbens (NAc), an essential region in the mesolimbic dopamine system that mediates opioid reward.
View Article and Find Full Text PDFBMC Med Res Methodol
December 2024
Department of Neurosurgery, Odense University Hospital, Odense, Denmark.
Background: Systematic reviews within the field of animal research are becoming more common. However, in animal translational research, issues related to methodological quality and quality of reporting continue to arise, potentially leading to underestimation or overestimation of the effects of interventions or prevent studies from being replicated. The various tools and checklists available to ensure good-quality studies and proper reporting include both unique and/or overlapping items and/or simply lack necessary elements or are too situational to certain conditions or diseases.
View Article and Find Full Text PDFMol Oncol
December 2024
Department of Neurosurgery, University Hospital Bonn, Germany.
Glioblastoma cells rely on connexin 43 (Cx43)-based gap junctions (GJs) for intercellular communication, enabling them to integrate into a widely branched malignant network. Although there are promising prospects for new targeted therapies, the lack of clinically feasible GJ inhibitors has impeded their adoption in clinical practice. In the present study, we investigated tonabersat (TO), a blood-brain-barrier-penetrating drug with GJ-inhibitory properties, in regard to its potential to disassemble intercellular connectivity in glioblastoma networks.
View Article and Find Full Text PDFBrain
December 2024
Neuroimage Analytics Laboratory and Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, Texas 78229, USA.
Concurrent neurodegenerative and vascular pathologies pose a diagnostic challenge in the clinical setting, with histopathology remaining the definitive modality for dementia-type diagnosis. To address this clinical challenge, we introduce a neuropathology-based, data-driven, multi-label deep learning framework to identify and quantify in-vivo biomarkers for Alzheimer's disease (AD), vascular dementia (VD), and Lewy body dementia (LBD) using antemortem T1-weighted MRI scans of 423 demented and 361 control participants from NACC and ADNI datasets. Based on the best-performing deep learning model, explainable heatmaps are extracted to visualize disease patterns, and the novel Deep Signature of Pathology Atrophy REcognition (DeepSPARE) indices are developed, where a higher DeepSPARE score indicates more brain alterations associated with that specific pathology.
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