Jose Miguel

Chromatin-based functional genomic analyses and genomewide association studies (GWASs) together implicate enhancers as critical elements influencin...

by Rocio Janeth Jove-Roman and Grupo de Investigación en Biotecnología y Ciencia de los Alimentos (GIBYCA), Universidad Tecnológica del Perú (UTP), Av.

Purpose Traditional markers such as HbA1c and BMI are commonly used to assess metabolic risk in adolescents with type 1 diabetes mellitus (T1DM), but novel biomarkers like the triglyceride-glucose (TyG) index and phase angle (PA) may provide a more comprehensive evaluation of metabolic risk. However, their potential role in this population remains unclear. We aimed (1) to evaluate the association of the TyG index and PA with glycemic control, cardiovascular risk and body composition in adolescents with T1DM, and (2) to determine optimal cut-off points for these biomarkers to predict metabolic risk. Methods Seventy-three adolescents (46.6% female, 10–19 years) with T1DM from two hospitals were included in this cross-sectional study. Sociodemographic, bioelectrical impedance (BIA) and clinical data were collected during routine visits. The TyG index was calculated from fasting triglyceride and glucose levels, and PA was measured via BIA. Correlations were analyzed using Pearson or Spearman coefficients, and ROC curve analyses were used to determine optimal cut-off points. Results PA correlated positively with skeletal muscle and fat-free mass and inversely with cardiovascular risk indicators. TyG was strongly associated with adiposity, glycemic variability and cardiovascular risk markers. A preliminary TyG threshold of 8.09 was identified, while no PA cut-off could be established. Conclusions PA and the TyG index are promising, non-invasive biomarkers that complement traditional measures in assessing metabolic risk in adolescents with T1DM. Integrating these biomarkers into routine evaluation may enhance early risk detection and support holistic management in this population. Trial registration number NCT07021326.

Covadonga Pérez-García Joaquin Llorente Ruth Gil-Prieto Gabriel Laghlali Farah El-Ayache Vivian Yan

by Sergio Armando Serrano-Palafox Maria Fernanda Ballesteros-Rivas and

by Víctor Dante Ayaviri-Nina Karla Carranza Mariño and Facultad de Ciencias Políticas y Administrativas, Universidad Nacional de Chimborazo (UNACH), Riobamba 060103, Ecuador

Abstract Background Placenta accreta spectrum (PAS) has emerged as a pressing global health concern as cesarean delivery rates continue to rise.

by and Internal Medicine Department, San Juan de Alicante University Clinical Hospital, 03550 San Juan de Alicante, Spain

Abstract Background CURB-65 score usefulness has been assessed in COVID-19 pneumonia, but not in cohorts including immunocompromised patients.

Abstract: Diversity is a fundamental criterion for evaluating generative artificial intelligence (AI) systems, yet its measurement remains inherently ambiguous.