A method has been developed to isolate brain macrophages (M phi) from normal neonatal and adult rats brain cell suspensions, as well as from brain cell suspensions of rat with experimental allergic encephalomyelitis (EAE), by making use of the ability of M phi to adhere to plastic surfaces. The isolated adherent cells were immuno- and enzyme-cytochemically identified. Phagocytic activity and the presence of Fc-IgG receptors were also examined. Approximately 30%-40% of the isolated adherent cells from neonatal rat brain are phagocytic and can be stained with macrophage-specific monoclonal antibodies, suggesting that these cells belong to the monocyte/macrophage lineage. From normal adult rat brain, only a small number of brain M phi could be isolated. A highly purified population of brain M phi was obtained from EAE rat brain. The isolated brain M phi are phagocytic, possess Fc-IgG receptors and rat M phi-associated antigens. Besides these features, the isolated brain M phi also express MHC class II antigens (Ia-antigens), which suggests that M phi may be involved in the regulation of immunological disorders of the CNS. The method reported here for rapidly isolating a large number of blood-monocyte-derived brain M phi from neonatal and adult brain allows an investigation of the precise role of M phi in inflammatory diseases of the central nervous system.
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http://dx.doi.org/10.1016/S0171-2985(89)80038-5 | DOI Listing |
Front Psychiatry
January 2025
Sociedad Española de Medicina Psicodélica (SEMPsi), Barcelona, Spain.
Background: Psychotherapy for Prolonged Grief Disorder (PGD), a condition characterized by an intense and persistent grief response, has received increased attention over the past decades. Evidence-based approaches to prevent PGD are currently scarce, and not always effective. This paper introduces a protocol for a clinical trial exploring the effectiveness of a Meaning Reconstruction psychotherapy approach (MR) assisted with ayahuasca, a traditional indigenous medicine.
View Article and Find Full Text PDFAm J Transl Res
December 2024
Department of Neurosurgery, The First Medical Center of Chinese PLA General Hospital Beijing, China.
Objective: To identify risk factors associated with progressive hemorrhagic injury (PHI) in patients with isolated traumatic brain injury (TBI) and to develop prognostic models for predicting patient outcomes.
Methods: A total of 137 patients with isolated TBI who underwent additional CT scans were included in the retrospective study. Single-factor analysis and multivariate logistic regression analysis were performed to identify significant risk factors associated with PHI development.
Clin Neurol Neurosurg
December 2024
Student Research Committee, Gonabad University of Medical Sciences, Gonabad, Iran. Electronic address:
Progressive hemorrhagic injury (PHI) is a frequent complication of traumatic brain injury (TBI). This study aims to investigate the impact of coagulation factors (platelet [PLT], prothrombin time [PT], activated partial thromboplastin time [aPTT], international normalized ratio , fibrinogen [Fg], D-dimer [Dd], and fibrin [Fib]) at admission and PHI development through a comprehensive systematic review and meta-analysis based on PRISMA 2020 guideline. Databases including PubMed, Scopus, Web of Science, and Embase were searched up to March 2024.
View Article and Find Full Text PDFBMC Neurol
December 2024
Neurosurgery Department, The Second Affiliated Hospital of Guangzhou Medical University, 250 Changgang Road, Haizhu District, Guangzhou, 510260, China.
Objective: To investigate the correlation between neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) in neurosurgery and their impact on the occurrence and prognosis of acute traumatic progressive hemorrhagic brain injury (PHI) among traumatic brain injury patients.
Method: A retrospective analysis encompassed 220 traumatic brain injury patients treated between 2019 and 2022. Patients were categorized into two groups: those experiencing progressive hemorrhagic brain injury (PHI) and those without PHI.
Heliyon
November 2024
Advanced Photonics Research Institute (APRI), Gwangju Institute of Science and Technology (GIST), Gwangju, 61005, Republic of Korea.
We used deep learning methods to develop an AI model capable of autonomously delineating cancerous regions in digital pathology images (H&E-stained images). By using a transgenic brain tumor model derived from the TS13-64 brain tumor cell line, we digitized a total of 187 H&E-stained images and annotated the cancerous regions in these images to compile a dataset. A deep learning approach was executed through DEEP:PHI, which abstracts Python coding complexities, thereby simplifying the execution of AI training protocols for users.
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