Atherosclerotic cardiovascular disease (ASCVD) is the leading cause of death in patients living with type 1 diabetes (T1D). Dyslipidemia is a frequent risk factor in this population. Although statin t Show more
Atherosclerotic cardiovascular disease (ASCVD) is the leading cause of death in patients living with type 1 diabetes (T1D). Dyslipidemia is a frequent risk factor in this population. Although statin therapy has demonstrated cardiovascular (CV) benefits in diabetes overall, specific evidence in T1D remains limited. This systematic review aims to evaluate the impact of statins on clinical and surrogate atherosclerosis-related outcomes in patients with T1D without established ASCVD. Statin use was associated with a significant reduction in the risk of major adverse cardiovascular events (MACE), with a pooled hazard ratio (HR) of 0.77 (95% CI: 0.70-0.84; low certainty), and a mean low-density lipoprotein cholesterol (LDL-C) reduction of 30.3 mg/dL (95% CI: -47.02 to -13.58; moderate certainty). Reductions in ApoB and non-HDL cholesterol were also reported. We conducted a systematic review following PRISMA guidelines. Searches were performed in PubMed, EMBASE, and Epistemonikos from inception to June 2025 using terms related to T1D, statins, and primary prevention. Eleven studies were included-nine randomized controlled trials (RCTs) and two cohort studies. Six (four RCTs and two cohorts) were eligible for meta-analysis of two primary outcomes; the remaining were summarized narratively. Statin use in T1D patients without ASCVD was associated with improved lipid profiles and reduced MACE. These findings support considering statins as a preventive strategy in this population, although prospective studies with hard outcomes are needed to better identify patients most likely to benefit. Show less
Alzheimer's disease (AD) is a progressive neurodegenerative disorder associated with impairments in memory and executive functions. Despite significant advancements in identifying genetic risk factors Show more
Alzheimer's disease (AD) is a progressive neurodegenerative disorder associated with impairments in memory and executive functions. Despite significant advancements in identifying genetic risk factors, the high cost and limited accessibility of genetic testing remain major barriers. In this work, we propose a cost-effective screening approach that leverages EEG recordings and psychometric test scores to predict an individual's genetic risk for AD. Our Convolutional Neural Network (CNN) model shows promising performance: it achieved an F1 score of 72.21% in distinguishing APOE-ϵ4/PICALM GG non-carriers (N) from APOE-ϵ4 carriers with the risky PICALM GG alleles (A+P+). It reached an F1 score of 60.78% for differentiating non-carriers (N) from APOE-ϵ4 carriers without the risky alleles (A+P-), and 65.12% when separating A+P- from A+P+. To enhance interpretability, we employ Grad-CAM, which reveals that EEG features contribute more significantly to gene prediction than psychometric measures. Notably, our model also identifies three key psychometric tests, MINI COPE (which assesses emotional coping skills), the California Verbal Learning Test (CVLT), and NEO Neuroticism, as associated with higher AD risk, consistent with prior research. Moreover, our results align with earlier findings reporting increased theta-band power among high-risk individuals. Finally, Higuchi Fractal Dimension (HFD) features drove most of the EEG-based prediction capability, as shown through our ablation study. This study highlights the potential of integrating neurophysiological and cognitive assessments to develop accessible and reliable screening tools for AD genetic risk, enabling earlier diagnoses. The code has been released at https://github.com/ Shyamal-Dharia/EEG-Psycho-Genes-AD. Show less
IL-17D is a cytokine that belongs to the IL-17 family and is conserved in vertebrates and invertebrates. In contrast to IL-17A and IL-17F, which are expressed in Th17 cells, IL-17D is expressed broadl Show more
IL-17D is a cytokine that belongs to the IL-17 family and is conserved in vertebrates and invertebrates. In contrast to IL-17A and IL-17F, which are expressed in Th17 cells, IL-17D is expressed broadly in nonimmune cells. IL-17D can promote immune responses to cancer and viruses in part by inducing chemokines and recruiting innate immune cells such as NK cells. Although bacterial infection can induce IL-17D in fish and invertebrates, the role of mammalian IL-17D in antibacterial immunity has not been established. To determine whether IL-17D has a role in mediating host defense against bacterial infections, we studied i.p. infection by group A Show less