Sepsis is a complex and heterogeneous condition, arising from a disrupted immune response to infection that can progress to organ failure and carries a high risk of death. In recent years, growing attention has been paid to the role of epigenetic mechanisms—including DNA methylation, histone modifications, non-coding RNAs, and RNA methylation—in shaping immune activity during sepsis. These processes affect immune functions such as macrophage polarization, cytokine release, and the exhaustion of immune cells, and they help explain the shift from an initial phase of overwhelming inflammation to a later state of immune suppression. Epigenetic alterations also contribute to tissue-specific damage, notably in the lungs, kidneys, and heart, and have been linked to disease severity and clinical prognosis. Advances in transcriptomic and epigenetic profiling have made it possible to distinguish molecular subtypes of septic patients, each with distinct immune features and varied responses to treatments such as corticosteroids and metabolic therapies. Emerging biomarkers—like AQP5 methylation, histone lactylation (H3K18la), and m⁶A RNA methylation—are opening new options for patient classification and more tailored therapeutic strategies. This review examines the current understanding of how epigenetic regulation contributes to the pathophysiology of sepsis and considers its implications for developing more individualized approaches to care.

Mild traumatic brain injury (mTBI) remains a clinical challenge, particularly in cases with normal computed tomography (CT) findings but persistent or evolving symptoms. Conventional diagnostic approaches relying solely on clinical criteria and neuroimaging often lack adequate sensitivity and may lead to unnecessary radiation exposure. Recent advances in biomarker research have identified several blood-based proteins such as glial fibrillary acidic protein (GFAP), ubiquitin carboxy-terminal hydrolase L1 (UCH-L1), S100 calcium-binding protein B (S100B), Tau protein, neuron-specific enolase (NSE), and neurofilament light chain (NFL) as potential tools for improving diagnostic precision and guiding clinical decisions. In this study, we synthesize current evidence evaluating the diagnostic and prognostic utility of these biomarkers using sensitivity, specificity, negative predictive value (NPV), and area under the receiver operating characteristic curve (AUC). GFAP and UCH-L1 have shown high sensitivity in detecting intracranial lesions and are now FDA-cleared for emergency department triage within 12 h of injury. While S100B remains widely investigated, its low specificity limits its application beyond select clinical scenarios (i.e., in patients without polytrauma). Additionally, Tau, NSE, and NFL are emerging as prognostic markers, with studies suggesting associations with persistent symptoms and long-term neurocognitive outcomes. Overall, the integration of biomarker-based data into clinical workflows may enhance early mTBI diagnosis, reduce reliance on imaging, and enable individualized follow-up and prognostic stratification. Future research should refine optimal sampling windows and explore multimarker panels to maximize diagnostic and prognostic performance.

Background: Psychotropic medications are frequently prescribed to elderly patients in emergency settings, yet their potential to induce electrocardiographic (ECG) abnormalities, particularly QTc interval prolongation, raises safety concerns. Older adults may be especially vulnerable due to polypharmacy, age-related cardiac changes, and comorbidities. Methods: We conducted a retrospective observational study on patients aged ≥65 years who underwent psychiatric evaluation in the Emergency Department (ED) of a tertiary hospital between 2015 and 2023. Data was extracted on demographics, psychiatric symptoms, psychotropic drug use, and ECG findings. The primary outcome was the prevalence of major ECG abnormalities (QTc or QRS prolongation), and secondary analyses explored associations with drug class and hospitalization. Results: Seventy-seven patients were included (62.3% female, median age 74 years). Overall, 22.1% exhibited ECG abnormalities, with QTc prolongation in 16.9% and QRS widening in 5.2%. ECG alterations were more common among patients receiving psychotropic drugs (30.7% vs. 13.2%; p = 0.046). Multivariate analysis confirmed psychotropic therapy as an independent predictor of ECG abnormalities (OR 2.84; 95% CI: 1.01–7.98; p = 0.049). No significant sex-related differences were observed. Conclusions: ECG abnormalities are common in elderly patients undergoing psychiatric assessment in the ED and seem associated with psychotropic medication use. However, non-pharmacological factors also contribute significantly to risk. Integrated multidisciplinary evaluation is essential to ensure both psychiatric and cardiovascular safety in this fragile population.