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Iron plays a detrimental role in the intracerebral hemorrhage (ICH)-induced brain damage, while hepcidin is the most important iron-regulated hormone. Here, we investigate the association between serum hepcidin and serum iron, outcome in patients with ICH. Serum samples of 81 cases with ICH were obtained on consecutive days to detect the levels of hepcidin, iron, interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α). The National Institutes of Health Stroke Scale score (NIHSS) was measured at admission and on days 7 and 30, and the modified Rankin Scale (mRS) score was evaluated at 3 months after ICH. Additionally, the correlations of serum hepcidin with serum iron and the mRS score were analyzed by a generalized linear model. Higher serum hepcidin levels were detected in patients with poor outcomes (P < 0.001), and the mRS score increased by a mean of 1.135 points (95% CI 1.021-1.247, P < 0.001) for every serum hepcidin quartile after adjusting for other prognostic variables. Pearson correlation analysis showed that serum hepcidin was negatively correlated with serum iron (r = -0.5301, P < 0.001), and a significantly lower concentration of serum iron was found in patients with poor outcomes (P = 0.007). Additionally, serum hepcidin was independently correlated with mRS scores of ICH patients (OR 1.115, 95% CI 0.995-1.249, P = 0.021). Our results suggest that serum hepcidin is closely related to the outcome of patients with ICH and may be a biological marker for outcome prediction. [ABSTRACT FROM AUTHOR]

Background: Epigenetics contributes to the pathogenesis of amyotrophic lateral sclerosis (ALS). We aimed to characterize the DNA methylation profiles associated with clinical heterogeneity in disease progression and survival among patients. Methods: We included a cohort of 41 patients with sporadic ALS, with a median follow-up of 86.9 months, and 27 rigorously matched healthy controls. Blood-based genome-wide DNA methylation analysis was conducted. Results: A total of 948 progression rate-associated differentially methylated positions, 298 progression rate-associated differentially methylated regions (R-DMRs), 590 survival time-associated DMPs, and 197 survival time-associated DMRs (S-DMRs) were identified, using complementary grouping strategies. Enrichment analysis of differentially methylated genes highlighted the involvement of synapses and axons in ALS progression and survival. Clinical analysis revealed a positive correlation between the average methylation levels of the R-DMR in PRDM8 and disease progression rate (r = 0.479, p = 0.002). Conversely, there was an inverse correlation between the average methylation levels of the R-DMR in ANKRD33 and disease progression rate (r = − 0.476, p = 0.002). In addition, patients with higher methylation levels within the S-DMR of ZNF696 experienced longer survival (p = 0.016), while those with elevated methylation levels in the S-DMR of RAI1 had shorter survival (p = 0.006). Conclusion: DNA methylation holds promise as a potential biomarker for tracking disease progression and predicting survival outcome and also offers targets for precision medicine. [ABSTRACT FROM AUTHOR]