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Biomarkers of SUDEP risk based on brain-heart-lungs network dynamics

基于脑-心-肺网络动力学的SUDEP风险生物标志物

基本信息

批准号：
10561946
负责人：
Albert E Glasscock
金额：
$ 65.05万
依托单位：
SOUTHERN METHODIST UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2023
资助国家：
美国
起止时间：
2023-01-15 至 2027-12-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10561946
关键词：
Affect Afferent Pathways Animal Model Autonomic nervous system Benchmarking Biological Biological Markers Biomedical Engineering Brain Cardiac Cessation of life Classification Development Disease Progression Efferent Pathways Electrocardiogram Electroencephalography Epilepsy Evaluation Exhibits Foundations Frequencies Functional disorder Future General Population Genetic Goals Heart Impairment Intervention Knock-out Knockout Mice Light Lung Measurement Measures Mediating Methods Modeling Monitor Mus Myocardial dysfunction National Institute of Neurological Disorders and Stroke Nature Neurons Organ Pathologic Pathway interactions Patient risk Patients Pattern Persons Pharmacology Phenobarbital Play Plethysmography Potassium Predisposition Prevention Prevention strategy Publishing Research Risk Risk Assessment Role SCN8A gene Seizures Sodium System Techniques Testing Time Ventilatory Depression Work brain abnormalities brain dysfunction candidate identification candidate marker clinical application conditional knockout gain of function mutation insight knockout animal knockout gene mortality mouse model multidisciplinary novel marker pharmacologic predictive marker respiratory risk prediction risk stratification sudden unexpected death in epilepsy translational potential

项目摘要

The long-term goal of this research is to identify SUDEP risk biomarkers and the brain-heart-lungs pathways mediating SUDEP pathophysiology. People with epilepsy are 16 times more likely than the general population to die suddenly for unknown pathological reasons; these deaths are classified as SUDEP and represent the leading cause of epilepsy-related mortality. Predictive SUDEP risk biomarkers still do not exist and the exact mechanisms and pathways involved are poorly understood. Overcoming these barriers would enable accurate patient risk stratification and monitoring, and the development of effective preventive strategies. In this work, we propose to employ a new multidisciplinary bioengineering systems approach (termed “inter-organ directed connectivity analysis”) to identify the type and nature of directional interactions between the brain (electroencephalography), heart (electrocardiography), and lungs (plethysmography) that underlie susceptibility to SUDEP and that could be utilized as reliable biomarkers of SUDEP risk, beginning with examination of Kcna1 global knockout (KO) mice in Aim 1. We will measure how these dynamics change over time when seizures occur and as the time to SUDEP approaches. Kcna1 global KO mice, which lack Kv1.1 channels, are one of the best characterized genetic channelopathy models of SUDEP, exhibiting essential features of SUDEP observed in patients. In Aim 2, we will employ brain- and heart-specific Kcna1 conditional KO (cKO) models and pharmacology to begin to identify the underlying biological basis of the observed impairment of dynamics in the directional connectivities between brain, heart and lungs. In Aim 3, we will then examine a different model of SUDEP due to sodium channelopathy, the Scn8aN1768D mouse, which carries a gain-of-function mutation in Nav1.6 channels, to determine whether the same patterns of abnormal brain-heart- lung connectivity can be generalized across models. We hypothesize that our analyses will reveal pathological functional interactions between the brain, heart, and lungs that are associated with SUDEP susceptibility in mice. Such patterns of faulty brain-heart-lung connectivity have translational potential as new and more reliable biomarkers for monitoring SUDEP risk and disease progression in epilepsy patients, while also shedding light on potential pathophysiological mechanisms. Evaluation of brain-heart-lungs connectivity across two accepted mouse models of SUDEP in this proposal will lay the foundation for future clinical application of this bioengineering technique in epilepsy patients with the hope of providing individualized SUDEP risk assessment that can be used to aid preventative strategies.

这项研究的长期目标是确定SUDEP风险生物标志物和脑-心-肺