In a recent issue of Nature, Kanton et al. explore human brain evolution and development by profiling the single-cell transcriptomes and epigenomes of cerebral organoids derived from human, chimpanzee, and macaque stem cells. Their results reveal key molecular characteristics that differentiate humans and non-human primates at the earliest stages of brain development.
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http://dx.doi.org/10.1016/j.cell.2019.10.041 | DOI Listing |
Alzheimers Res Ther
January 2025
Department of Radiology, Weill Medical College of Cornell University, New York, NY, USA, Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Background: Quantitative susceptibility mapping (QSM) can study the susceptibility values of brain tissue which allows for noninvasive examination of local brain iron levels in both normal and pathological conditions.
Purpose: Our study compares brain iron deposition in gray matter (GM) nuclei between cerebral small vessel disease (CSVD) patients and healthy controls (HCs), exploring factors that affect iron deposition and cognitive function.
Materials And Methods: A total of 321 subjects were enrolled in this study.
Fluids Barriers CNS
January 2025
Sanders-Brown Center on Aging, College of Medicine, University of Kentucky, 760 Press Ave, 124 HKRB, Lexington, KY, 40536-0679, USA.
Background: Blood-brain barrier dysfunction is one characteristic of Alzheimer's disease (AD) and is recognized as both a cause and consequence of the pathological cascade leading to cognitive decline. The goal of this study was to assess markers for barrier dysfunction in postmortem tissue samples from research participants who were either cognitively normal individuals (CNI) or diagnosed with AD at the time of autopsy and determine to what extent these markers are associated with AD neuropathologic changes (ADNC) and cognitive impairment.
Methods: We used postmortem brain tissue and plasma samples from 19 participants: 9 CNI and 10 AD dementia patients who had come to autopsy from the University of Kentucky AD Research Center (UK-ADRC) community-based cohort; all cases with dementia had confirmed severe ADNC.
Orphanet J Rare Dis
January 2025
Department of Cardiac Physiology, National Cerebral and Cardiovascular Center Research Institute, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan.
Background: Transient receptor potential cation channel subfamily V member 2 (TRPV2) functions as a stretch-sensitive calcium channel, with overexpression in the sarcolemma of skeletal and cardiac myocytes leading to detrimental calcium influx and triggering muscle degeneration. In our previous pilot study, we showed that tranilast, a TRPV2 inhibitor, reduced brain natriuretic peptide levels in two patients with muscular dystrophy and advanced heart failure. Building on this, we performed a single-arm, open-label, multicenter study herein to evaluate the safety and efficacy of tranilast in the treatment of advanced heart failure in patients with muscular dystrophy.
View Article and Find Full Text PDFBMC Ophthalmol
January 2025
Department of Surgery, St. Jude Children's Research Hospital, Memphis, TN, USA.
Background: Cutaneous melanoma is the leading cause of death from cutaneous malignancy and tends to metastasize lymphatically and hematogenously to the lung, liver, brain, and bone; it is a rare source of metastatic disease to the eye. Herein we provide a case report of cutaneous melanoma metastatic to the ciliary body and choroid involving clinical examination, slit lamp photography, and B-scan ultrasonography.
Result: A 55-year-old female with known metastatic cutaneous melanoma presented with pain, a large ciliochoroidal mass, visual decline, and diffuse intraocular inflammation.
J Headache Pain
January 2025
Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea.
Inter-individual variability in symptoms and the dynamic nature of brain pathophysiology present significant challenges in constructing a robust diagnostic model for migraine. In this study, we aimed to integrate different types of magnetic resonance imaging (MRI), providing structural and functional information, and develop a robust machine learning model that classifies migraine patients from healthy controls by testing multiple combinations of hyperparameters to ensure stability across different migraine phases and longitudinally repeated data. Specifically, we constructed a diagnostic model to classify patients with episodic migraine from healthy controls, and validated its performance across ictal and interictal phases, as well as in a longitudinal setting.
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