👤 Fatma Coşkun

Attention deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder with a complex and not fully understood etiology. Increasing evidence suggests that neurotrophic factors involved in neurodevelopment and synaptic plasticity, as well as hormones of the hypothalamic-pituitary-adrenal (HPA) axis that regulate the stress response, may contribute to the pathophysiology of ADHD. This cross-sectional study aimed to compare children diagnosed with ADHD and healthy controls with respect to serum levels of brain-derived neurotrophic factor (BDNF), glial cell line-derived neurotrophic factor (GDNF), vascular endothelial growth factor (VEGF), neurotrophin-3 (NT-3), adrenocorticotropic hormone (ACTH), and cortisol. A total of 80 children aged 6-18 years with a diagnosis of ADHD and 81 healthy controls were included in the study. The severity of ADHD symptoms was assessed using the Conners' Parent Rating Scale-Short Version (CPRS-SV). Serum levels of biochemical parameters were measured using commercially available electrochemiluminescence immunoassay and enzyme-linked immunosorbent assay kits. Compared with the healthy control group, the ADHD group exhibited significantly higher serum levels of BDNF, GDNF, VEGF, ACTH, and cortisol, whereas NT-3 levels did not differ between the groups. These group differences remained statistically significant after controlling for potential confounding variables. Correlation analyses revealed no significant associations between neurotrophic factors, hypothalamic-pituitary-adrenal (HPA) axis hormones, and CPRS-SV subscale scores. The present findings indicate that neurotrophic factors and hormones related to the hypothalamic-pituitary-adrenal (HPA) axis are altered in medication-naïve children and adolescents with ADHD. The absence of a direct correlation between neurotrophic factors and HPA axis hormones suggests that these systems may contribute to the pathophysiology of ADHD through parallel yet partially independent and complex mechanisms. Future longitudinal and multimodal studies are warranted to elucidate the dynamic interactions between stress-related neuroendocrine processes and neurodevelopmental pathways in ADHD. Show less

Hypertrophic cardiomyopathy (HCM) is a complex myocardial disorder with heterogeneous clinical presentations and structural manifestations. This study aimed to assess the distribution, clinical characteristics, and diagnostic approaches in a regional cohort of patients with HCM. Patients diagnosed with HCM at a tertiary cardiomyopathy clinic between October 2021 and November 2024 were retrospectively analyzed. Patients were classified into obstructive, latent obstructive, non-obstructive, or apical phenotypes based on clinical and imaging findings. Comprehensive demographic, clinical, and imaging data were collected for detailed analysis, providing valuable insights into the phenotypic diversity of HCM. The cohort included 701 patients with a median age of 53 years of whom 68% were male. The phenotypic distribution comprised 9.3% apical, 38.1% non-obstructive, 32.5% resting obstructive, and 20.1% latent obstructive HCM. Implantable cardioverter-defibrillator implantation was more common in obstructive phenotypes, particularly in the latent obstructive group. Although late gadolinium enhancement (LGE) was more frequently observed in apical HCM, post-hoc analysis showed no significant difference in prevalence across subgroups. In contrast, LGE extent was significantly greater in the apical group. Genetic testing, performed in 32% of patients, revealed a 44% positivity rate, with MYBPC3 and MYH7 being the most commonly detected mutations. The overall mortality rate was 2.8%, with heart failure identified as the leading cause of death. In this large regional cohort of HCM patients, obstructive and non-obstructive phenotypes were predominant, with a notable burden of genetic mutations and a low overall mortality rate primarily driven by heart failure. These findings emphasize the clinical heterogeneity of HCM and highlight the importance of comprehensive diagnostic evaluation. Show less

Migration is a global phenomenon that significantly impacts individuals' psychological wellbeing. Migrants often face a range of psychological stressors due to displacement, adjustment challenges, and trauma. Understanding how mental health indicators cluster in this population is essential for developing effective interventions. This study aimed to identify latent psychological profiles among migrants in Türkiye based on positive (life satisfaction, psychological wellbeing, resilience) and negative (depression, anxiety, stress) mental health indicators and to examine the demographic predictors of these profiles. The study included 436 adult migrants aged 18 to 64 residing in various provinces of Türkiye. A purposive sampling method was used to ensure diversity in characteristics such as gender, age, socioeconomic status, education level, and geographic location. Participants completed validated self-report measures of life satisfaction, psychological wellbeing, resilience, depression, anxiety, and stress. Confirmatory factor analyses and reliability tests were conducted. Latent Profile Analysis (LPA) was used to identify distinct psychological profiles, and multinomial logistic regression was employed to examine demographic predictors of profile membership. Four distinct psychological profiles were identified: (1) Moderate wellbeing and moderate risk, (2) high wellbeing and low risk, (3) high risk, and (4) low risk but moderate wellbeing. Age, gender, socioeconomic status, and education level were significant predictors of profile membership, while marital status was not. Higher age and lower income increased the likelihood of being in the high-risk group, whereas higher education was associated with better psychological outcomes. The findings highlight heterogeneity in migrants' psychological adjustment and underscore the importance of considering demographic diversity in mental health interventions. Tailored, culturally sensitive approaches may enhance the wellbeing and resilience of migrant populations. Show less