| Title: | Identification of epidemiological, genetic and clinical risk factors for the development of neuroimmune diseases and epilepsy. |
| Lead Institution: | The First Affiliated Hospital of Chongqing Medical University |
| Principal investigator: |
Application 103677
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About
Disorders of the nervous system are important causes of death and disability around the world. 1 in every 9 individuals dies of a disorder of the nervous system. Neuroimmune diseases and epilepsy are essential components of neurological disorders. The neuroimmune disease is an umbrella term for a group of certain diseases involving dysfunction of both the immune system and the nervous system (central or peripheral), which brings a heavy burden to society and is often debilitating and disabling for affected individuals, majorly including multiple sclerosis (MS), neuromyelitis optica (NMO), myasthenia gravis (MG) and Guillain-Barré syndrome (GBS). As is known to all, both genetic and environmental factors contribute to the development, progression and severity of neuroimmunological disorders. However, few risk factors have been robustly validated in epidemiological studies. Rather than being a condition with single expression and cause, epilepsy is a symptom-complex disease with multiple risk factors and has a strong genetic predisposition in many cases, which affects approximately 65 million people worldwide. Mortality rates are two to three times higher in people with epilepsy than in the general population. According to an authoritative international report, about a quarter of epilepsy episodes are preventable. Therefore, the prevention of epilepsy is a major public health concern. We will investigate risk factors for development, progression, and severity of epilepsy using UK-Biobank and other cohort studies to shed light on the prevention. The purpose of our study is to reveal risk factors of neuroimmune diseases and epilepsy, including their general demographic features, medical history, lifestyle, environment, blood biochemistry index among other things. Besides, based on traditional and newly discovered risk factors, prediction models will be constructed by multiple machine learning algorithms to predict disease occurrence in 5 and 10 years. Then we will perform an analysis to verify the cause-and-effect relationship between risk factors and diseases. We intend to carry out our research within a three-year duration. Our project will improve the understanding of the relationship between multiple exposures and neuroimmune diseases and epilepsy. Newly discovered risk factors may provide scientific evidence for developing new prevention and treatment strategies. A prediction model constructed accurately may provide risk prediction and intervention strategies on the high-risk population before onset, which may reduce the overall incidence of neuroimmune disease and epilepsy.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 13621 | Association of blood count-derived immunoinflammatory makers and risk of epilepsy: A prospective cohort of 497,291 participants | Qinlian Huang (+5) | 2024 | Seizure |
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