Genetic Factors Influence Neuroinflammatory Responses to Systemic Inflammation

Systemic inflammation is a known driver of neurodegeneration, yet the nuances of its effects across different neural tissues and genetic backgrounds remain largely unexplored. Understanding these differences is crucial for developing targeted interventions in metabolic health, particularly as inflammation is linked to various metabolic disorders such as insulin resistance and obesity. This study utilized RNA sequencing to analyze the responses of brain, optic nerve head (ONH), and retina tissues from four genetically diverse mouse strains (B6, CAST, NZO, WSB) after inducing systemic inflammation with lipopolysaccharide (LPS). The results revealed that the ONH exhibited the most significant response to LPS, with 9,510 differentially expressed genes (DEGs), followed by the retina with 5,152 DEGs and the brain with 4,586 DEGs. A core set of 1,444 DEGs was conserved across all tissues, enriched for pathways related to innate immunity and acute-phase responses. Interestingly, tissue-specific responses were observed: the retina downregulated genes associated with phototransduction and visual perception, while the ONH showed bidirectional remodeling, indicating both upregulation of proteasome and ribosome biogenesis and suppression of lipid metabolism and lysosomal function. In contrast, the brain did not display significant pathway-level enrichment, suggesting a more muted response to systemic inflammation. Genetic background played a critical role in modulating the LPS response across the three tissues, with the retina showing the most significant strain-dependent divergence. Notably, despite the ONH's larger overall response to LPS, its reaction was the least affected by genetic context. This indicates that both genetic and physical contexts are essential in dictating the neuroinflammatory response to systemic inflammation, which could have implications for understanding metabolic health and disease susceptibility. For individuals concerned about their metabolic health, particularly those with conditions linked to inflammation, this research underscores the importance of considering genetic factors when evaluating neuroinflammatory responses. Personalized approaches may be necessary to address the unique inflammatory profiles of individuals, potentially leading to more effective interventions. In terms of biomarkers, this study connects to inflammation markers such as hsCRP, which is often elevated in individuals with metabolic syndrome and insulin resistance. Monitoring these markers can provide insights into one's inflammatory status and overall metabolic health. Additionally, understanding the genetic predispositions to inflammation may guide lifestyle and dietary choices, such as adopting a low-carb or ketogenic diet, which have been shown to reduce inflammation and improve metabolic outcomes. In conclusion, the findings of this study highlight the complex interplay between genetic factors and neuroinflammatory responses to systemic inflammation. As we continue to unravel these connections, it becomes increasingly clear that personalized strategies are essential for optimizing metabolic health and preventing chronic diseases.