Cardiac arrest (CA) triggers neuroinflammation that could play a role in a delayed neuronal death. In our previously established rat model of ventricular fibrillation (VF) CA characterized by extensive neuronal death, we tested the hypothesis that individual brain regions have specific neuroinflammatory responses, as reflected by regional brain tissue levels of tumor necrosis factor (TNF)α and other cytokines. In a prospective study, rats were randomized to 6min (CA6), 8min (CA8) or 10min (CA10) of VF CA, or sham group. Cortex, striatum, hippocampus and cerebellum were evaluated for TNFα and interleukin (IL)-1α, IL-1β, IL-2, IL-4, IL-6, IL-10, IL-12 and interferon gamma at 3h, 6h or 14 d after CA by ELISA and Luminex. Immunohistochemistry was used to determine the cell source of TNFα. CA resulted in a selective TNFα response with significant regional and temporal differences. At 3h after CA, TNFα-levels increased in all regions depending on the duration of the insult. The most pronounced increase was observed in striatum that showed 20-fold increase in CA10 vs. sham, and 3-fold increase vs. CA6 or CA8 group, respectively (p<0.01). TNFα levels in striatum decreased between 3h and 6h, but increased in other regions between 3h and 14 d. TNFα levels remained twofold higher in CA6 vs. shams across brain regions at 14 d (p<0.01). In contrast to pronounced TNFα response, other cytokines showed only a minimal increase in CA6 and CA8 groups vs. sham in all brain regions with the exception that IL-1β increased twofold in cerebellum and striatum (p<0.01). TNFα colocalized with neurons. In conclusion, CA produced a duration-dependent acute TNFα response, with dramatic increase in the striatum where TNFα colocalized with neurons. Increased TNFα levels persist for at least two weeks. This TNFα surge contrasts the lack of an acute increase in other cytokines in brain after CA. Given that striatum is a selectively vulnerable brain region, our data suggest possible role of neuronal TNFα in striatum after CA and identify therapeutic targets for future experiments. This study was approved by the University of Pittsburgh IACUC 1002340A-3.
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http://dx.doi.org/10.1016/j.resuscitation.2014.01.033 | DOI Listing |
Eur Radiol
January 2025
Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, 3525422, Israel.
Objectives: A strong association exists between left atrial (LA) structural remodeling and the development of atrial fibrillation (AF). The role of LA function in AF prediction remains unclear. We studied the relationship between LA function and incident AF using cardiac CT.
View Article and Find Full Text PDFHeart
January 2025
Department of Cardiology, University Hospital Zurich, Zurich, Switzerland
Background: Cardiac sarcoidosis (CS) is a chronic inflammatory disease characterised by non-caseating granulomas, while arrhythmogenic cardiomyopathy (ACM) is a genetic condition mainly affecting desmosomal proteins. The coexistence of CS and genetic variants associated with ACM is not well understood, creating challenges in diagnosis and management. This study aimed to describe the clinical, imaging and genetic features of patients with both conditions.
View Article and Find Full Text PDFAm J Emerg Med
January 2025
Laboratory of Emergency Medical Services, Seoul National University Hospital Biomedical Research Institute, Seoul, South Korea.
Objectives: The recommended epinephrine administration interval during CPR is between 3 and 5 min. However, the optimal interval for improving cerebral perfusion remains controversial. This study aimed to evaluate the effects of epinephrine administration interval of 3 min or 5 min on cerebral perfusion pressure (CEPP) and cortical cerebral blood flow (CCBF) in a porcine cardiac arrest model.
View Article and Find Full Text PDFCureus
December 2024
Internal Medicine, University of Health Sciences, Lahore, PAK.
Acute coronary syndrome (ACS) remains a major global health burden, encompassing a spectrum of conditions from unstable angina to acute myocardial infarction. Despite advancements in early detection and management, ACS is often complicated by the development of heart failure. This systematic review and meta-analysis aimed to identify factors associated with the development of heart failure following acute coronary syndrome.
View Article and Find Full Text PDFFront Cardiovasc Med
January 2025
Department of Cardiology, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China.
Introduction: The risk of mortality associated with cardiac arrhythmias is considerable, and their diagnosis presents significant challenges, often resulting in misdiagnosis. This situation highlights the necessity for an automated, efficient, and real-time detection method aimed at enhancing diagnostic accuracy and improving patient outcomes.
Methods: The present study is centered on the development of a portable deep learning model for the detection of arrhythmias via electrocardiogram (ECG) signals, referred to as CardioAttentionNet (CANet).
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