A brain in flame; do inflammasomes and pyroptosis influence stroke pathology?

Brain Pathol

Faculty of Biology, Medicine and Health, University of Manchester, AV Hill Building, Oxford Road, Manchester, M13 9PT, United Kingdom.

Published: March 2017

Stroke is one of the leading causes of death and disability worldwide. Inflammation plays a key role across the time course of stroke, from onset to the post-injury reparative phase days to months later. Several regulatory molecules are implicated in inflammation, but the most established inflammatory mediator of acute brain injury is the cytokine interleukin-1. Interleukin-1 is regulated by large, macromolecular complexes called inflammasomes, which play a central role in cytokine release and cell death. In this review we highlight recent advances in inflammasome research and propose key roles for inflammasome components in the progression of stroke damage.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8028888PMC
http://dx.doi.org/10.1111/bpa.12476DOI Listing

Publication Analysis

Top Keywords

brain flame
4
flame inflammasomes
4
inflammasomes pyroptosis
4
pyroptosis influence
4
stroke
4
influence stroke
4
stroke pathology?
4
pathology? stroke
4
stroke leading
4
leading death
4

Similar Publications

Background: To date, there is no effective cure for the highly malignant brain tumor glioblastoma (GBM). GBM is the most common, aggressive central nervous system tumor (CNS). It commonly originates in glial cells such as microglia, oligodendroglia, astrocytes, or subpopulations of cancer stem cells (CSCs).

View Article and Find Full Text PDF

Hexabromocyclododecane (HBCD) is a brominated flame retardant, that is added, but not chemically bonded, to consumer products. HBCD is sold as a commercial-grade HBCD mixture containing three major stereoisomers: alpha (α), beta (β), and gamma (γ), with relative amounts of 12% for α-HBCD, 6% for β-HBCD, and 82% for γ-HBCD. HBCDs are widely measured in the environment and in biological matrices.

View Article and Find Full Text PDF

Sleep Disturbance and Postconcussive Symptoms in Pediatric Mild Traumatic Brain Injury and Orthopedic Injury.

J Head Trauma Rehabil

September 2024

Author Affiliations: Department of Psychology, University of Calgary, Calgary, Alberta (Ms Luszawski and Dr Yeates); Alberta Children's Hospital Research Institute, Calgary, Alberta (Ms Luszawski and Dr Yeates); Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta (Ms Luszawski and Dr Yeates); Department of Pediatrics, Case Western Reserve University, Cleveland, Ohio (Ms Minich, Dr Bacevice, and Dr Bangert); Rainbow Babies and Children's Hospital, University Hospitals Cleveland Medical Center, Cleveland, Ohio (Ms Minich and Dr Bacevice); Department of Psychology and Neuroscience, Brigham Young University, Provo, Utah and Departments of Neurology and Psychiatry, University of Utah, Salt Lake City, Utah (Dr Bigler); Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, Ohio (Dr Taylor); Department of Pediatrics, The Ohio State University, Columbus, Ohio (Drs Taylor, Cohen, and Zumberge); Emergency Medicine, Nationwide Children's Hospital, Columbus, Ohio (Dr Cohen); Department of Radiology, University Hospitals of Cleveland, Cleveland, Ohio (Dr Bangert); Radiology, Nationwide Children's Hospital, Columbus, Ohio (Dr Zumberge); Educational and Counselling Psychology, University of British Columbia, Vancouver, British Columbia (Dr Tomfohr-Madsen); Neurosciences Program, Alberta Children's Hospital, Calgary, Alberta (Dr Brooks); and Departments of Pediatrics, Clinical Neurosciences, and Psychology, University of Calgary, Calgary, Alberta (Dr Brooks).

Objective: Sleep disturbance (SD) is common after pediatric mild traumatic brain injury (mTBI) and may predict increased postconcussive symptoms (PCS) and prolonged recovery. Our objective was to investigate the relation of SD with PCS in children with mTBI and those with orthopedic injury (OI).

Setting: Emergency departments (EDs) at 2 children's hospitals in the Midwestern United States.

View Article and Find Full Text PDF

Objective: To identify clinicopathologic and genomic features associated with brain metastasis after resection of lung adenocarcinoma (LUAD) and to evaluate survival after brain metastasis.

Methods: Patients who underwent complete resection of stage I-IIIA LUAD between 2011 and 2020 were included. A subset of patients had broad-based panel next-generation sequencing performed on their tumors.

View Article and Find Full Text PDF

This study illustrates the use of chemical fingerprints with machine learning for blood-brain barrier (BBB) permeability prediction. Employing the Blood Brain Barrier Database (B3DB) dataset for BBB permeability prediction, we extracted nine different fingerprints. Support Vector Machine (SVM) and Extreme Gradient Boosting (XGBoost) algorithms were used to develop models for permeability prediction.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!