BACKGROUND
Schizophrenia has traditionally been conceptualized through dopaminergic and glutamatergic frameworks. In recent years, attention has increasingly focused on the role of immune dysregulation in its pathophysiology, although conclusive evidence remains limited. In this context, the present study aimed to investigate alterations in cytokine profiles and their association with clinical symptomatology following treatment with atypical antipsychotics for 8 weeks.
MATERIALS AND METHODS
Thirty patients aged 18-65 years, diagnosed with schizophrenia as per Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition criteria, were enrolled. Participants received atypical antipsychotic therapy as clinically indicated. Symptom severity was assessed using the Scale for the Assessment of Positive Symptoms (SAPS) and the Scale for the Assessment of Negative Symptoms (SANS). Serum levels of tumor necrosis factor-alpha (TNF-α), interleukin-8 (IL-8), and regulated upon activation, normal T-cell expressed and secreted (RANTES) were measured at baseline and after 8 weeks of therapy.
RESULTS
Median SAPS and SANS scores significantly decreased from 39 to 30.5 (P < 0.001) and from 30 to 28 (P < 0.001), respectively. Correspondingly, median serum TNF-α levels declined from 28.55 (6.51-227) to 19.98 (4.56-145) pg/mL (P = 0.033). Reductions were also observed for IL-8 (62.2-50.25 pg/mL; P = 0.171) and RANTES (520-500 pg/mL; P = 0.758).
CONCLUSION
Treatment with atypical antipsychotics significantly attenuated both positive and negative symptoms and reduced TNF-α levels in patients with schizophrenia. The concomitant decline in cytokine concentrations suggests a potential immunomodulatory effect of treatment, highlighting TNF-α, IL-8, and RANTES as possible prognostic biomarkers.
Aashima Handa, A. Mishra, S. Sarangi et al.· Indian Journal of Pharmacolo...· 0 citations
Depression has been associated with cardiovascular disorders, including stroke. Although, the graded association and the role of antidepressant medication use continue to be uncertain. To examine the link between depression severity (PHQ-9) and stroke, comprising nonlinear effects and interaction with the use of antidepressant. In this study, data was analysed from NHANES 2007–2018 (n = 35,162), of whom 32,040 participants with complete data were incorporated in the final analysis. Severity of depression was evaluated by using PHQ-9. Self-reported prevalent stroke was the outcome. Odds ratios (ORs) were estimated by survey weighted logistic regression models. Nonlinear associations were evaluated by using natural cubic splines. Greater PHQ-9 scores were significantly linked with augmented odds of self-reported stroke (OR 1.07, 95% CI 1.05–1.09, p < 0.001). Use of antidepressant was independently linked with self-reported stroke (OR 1.74, 95% CI 1.27–2.39). No statistically significant interaction was observed between PHQ-9 score and antidepressant use (p = 0.061). Natural cubic spline analysis demonstrated a significant overall association between PHQ-9 score and self-reported stroke, with no statistically significant evidence of nonlinearity. Both hypertension and diabetes were strong independent predictors of self-reported stroke, while higher income (PIR) was protective. Severity of depression was independently associated with higher odds of self-reported stroke. These findings highlight an association between depression severity and self-reported stroke history.
Himanshu Sharma, K. Reeta· Discover Public Health· 0 citations
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