Neuroimmune diseases, including multiple sclerosis (MS), neuromyelitis optica spectrum disorders (NMOSD), anti-myelin oligodendrocyte glycoprotein-IgG (MOGAD), Guillain-Barre syndrome (GBS) etc., predominantly occur in young and middle-aged individuals with a high rate of disability. The pathogenesis of these diseases remains unclear, and the treatment outcomes are often unsatisfactory. Therefore, exploring the prevention and treatment of neuroimmune diseases is of vital importance. In this study, we will identify risk factors and protective factors influencing disease onset and prognosis from multiple perspectives based on large-sample population data.
In our research, first we will collect baseline data from the population (including general demographic characteristics, medical history, and laboratory data) as well as outcome events (the onset and prognosis of autoimmune diseases of the nervous system). The population will be grouped, and various statistical methods (such as logistic regression, Cox regression and so on) will be employed to compare the differences in various factors between groups, with the aim of identifying potential protective and risk factors that influence the onset and prognosis of neuroimmune diseases. We also intend to compare factors related to neuroimmune disorders with neurodegenerative diseases, as well as anxiety, depression, and other psychosomatic disorders, which will be more conducive to identifying the signature indicators of neuroimmune that we are concerned about and to finding common factors that affect neurological diseases. Furthermore, we will explore the relationship between various factors and autoimmune diseases of the nervous system at the genetic level.
