Introduction: This study aimed to analyze the existing evidence on the association between dental diseases and stroke. Various pathogenic mechanisms, including bacteraemia and systemic inflammation, were investigated to explore their impact on stroke occurrence and severity.
Methods: A comprehensive literature search was conducted through the online databases PubMed, Google Scholar, Web of Science, and Scopus.
Front Mol Neurosci
June 2024
Stroke is a devastating disease with high morbidity, disability, and mortality, among which ischemic stroke is more common. However, there is still a lack of effective methods to improve the prognosis and reduce the incidence of its complications. At present, there is evidence that peripheral organs are involved in the inflammatory response after stroke.
View Article and Find Full Text PDFCentral nervous system (CNS) diseases are a leading cause of death and disability. Due to CNS neurons have no self-renewal and regenerative ability as they mature, their loss after injury or disease is irreversible and often leads to functional impairments. Unfortunately, therapeutic options for CNS diseases are still limited, and effective treatments for these notorious diseases are warranted to be explored.
View Article and Find Full Text PDFAims: To investigate the causal role of serum magnesium and calcium in epilepsy or any of its subtypes through Mendelian randomization (MR) approach.
Methods: Single nucleotide polymorphisms (SNPs) associated with serum magnesium and calcium were used as the instrumental variables. MR analyses were performed using the summary-level data for epilepsy extracted from International League Against Epilepsy Consortium (15,212 cases and 29,677 controls) to obtain the causal estimates.
Background: Accumulating evidence of clinical and neuroimaging studies indicated that migraine is related to brain structural alterations. However, it is still not clear whether the associations of brain structural alterations with migraine are likely to be causal, or could be explained by reverse causality confounding.
Methods: We carried on a bidirectional Mendelian randomization analysis in order to identify the causal relationship between brain structures and migraine risk.