Huerta Uribe, Nidia
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Huerta Uribe
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Nidia
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Ciencias de la Salud
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Publication Open Access Is physical fitness associated with leucocyte telomere length in youth with type 1 diabetes?(Springer, 2024-11-14) Muñoz Pardeza, Jacinto; López Gil, José Francisco; Huerta Uribe, Nidia; Hormazábal Aguayo, Ignacio; Ojeda-Rodríguez, Ana; Martí del Moral, Amelia; Izquierdo Redín, Mikel; García Hermoso, Antonio; Ciencias de la Salud; Osasun ZientziakBackground: in type 1 diabetes, telomere length (TL) may predict complications and could be influenced by glycaemic control and physical activity, but its relationship with physical fitness in youths remains unexplored. The aim of the study was to assess the association between physical fitness and TL in youth with type 1 diabetes, both at baseline and one year later. Methods: eighty-three children and adolescents (aged 6-18 years; 44.6% girls) with type 1 diabetes from the Diactive-1 Cohort Study were involved in this study. Physical fitness was assessed using spirometry on a cycloergometer (i.e., peak oxygen consumption), dynamometry, and maximal isometric strength (one-repetition maximum [1RM]), and muscle power. Leucocyte TL was assessed using multiplex monochrome real-time quantitative polymerase chain reaction. Results: positive cross-sectional associations were identified between 1RM (unstandardized beta coefficient [B] = 0.042, 95% bias corrected and accelerated [BCa] confidence interval [CI] 0.012-0.069), muscle power (B = 0.056, 95% BCa CI 0.02-0.250), and overall physical fitness (B = 0.043, 95% BCa CI 0.015¿0.071) with TL independent of maturation, glycated haemoglobin, and diabetes duration. However, no associations were observed one year later. Conclusion: higher levels of fitness, particularly muscle strength, may play a role in telomere dynamics in youth with type 1 diabetes, suggesting that strength training exercise could be beneficial. Impact: this is the first study to examine cross-sectional and longitudinal perspectives on the correlation among muscle strength, peak oxygen consumption [VO2peak] and telomere length in youths with type 1 diabetes. Higher physical fitness levels, as assessed by measures such as one-repetition maximum, muscle power, and overall physical fitness, are positively associated with telomere length in youths with type 1 diabetes. Understanding this link could improve management strategies, prioritizing muscle strength training for better long-term health in type 1 diabetes.Publication Open Access Handgrip strength, cardiometabolic risk and body composition in youth with type 1 diabetes: the Diactive-1 Cohort Study(BMJ Publishing, 2024-12-04) Huerta Uribe, Nidia; Hormazábal Aguayo, Ignacio; Muñoz Pardeza, Jacinto; Chueca-Guindulain, María J.; Berrade-Zubiri, Sara; Andrés Sesma, Carlos; Burillo Sánchez, Elisabeth; Ezzatvar, Yasmin; Yáñez-Sepúlveda, Rodrigo; Izquierdo Redín, Mikel; García Hermoso, Antonio; Ciencias de la Salud; Osasun ZientziakObjective: this study aimed to explore the association between handgrip strength, cardiometabolic risk (CMR) and body composition in youth with type 1 diabetes. Methods: for this prospective cohort study, muscular fitness was assessed via handgrip test and relativised by weight, and body composition, evaluated through dual-energy X-ray absorptiometry in type 1 diabetes patients aged 6-18 years. CMR score included z-scores for total body fat, blood pressure, glycated haemoglobin (HbA1c), low-density lipoprotein cholesterol, high-density lipoprotein cholesterol and triglyceride-glucose index. Results: eighty-three patients were analysed at baseline and 1-year follow-up (44.6% females, mean age 12.77 years). Individuals with high handgrip strength tended to have lower CMR and body fat compared with those with low handgrip strength. Over a year, individuals with high handgrip strength showed reduced HbA1c, CMR and subcutaneous fat. Consistently meeting high handgrip strength criteria resulted in reductions in HbA1c levels, CMR score and subcutaneous adipose tissue compared with those who never complied or lost compliance during follow-up. Additionally, subjects classified with high handgrip strength both at baseline and follow-up had a lower likelihood of being classified with high CMR (OR=0.241, 95% CI 0.121 to 0.947, p=0.044). Conclusions: high handgrip strength was associated with significant cardiometabolic and body composition benefits in youth with type 1 diabetes. This tool could be considered of potential clinical value for incorporating assessments like handgrip tests to monitor and address cardiometabolic health.Publication Embargo Comparative lipidomic profiling in adolescents with obesity and adolescents with type 1 diabetes(Elsevier, 2025-01-18) García Hermoso, Antonio; Huerta Uribe, Nidia; Izquierdo Redín, Mikel; González-Ruíz, Katherine; Correa Bautista, Jorge Enrique; Ramírez Vélez, Robinson; Ciencias de la Salud; Osasun ZientziakObjective: Both adolescents with obesity and those with type 1 diabetes (T1D) exhibit alterations in lipid profiles, but direct comparisons are limited. Comparing lipidomic profiles between obese individuals and those with T1D is crucial for identifying specific metabolic markers, informing tailored interventions, and advancing precision medicine strategies for these distinct populations. The aim of the study was to compare lipidomic profiles between adolescents with obesity and those with T1D, and to analyze associations between metabolites and clinical parameters. Methods: We included 156 adolescents aged 11–18 years (59.6% girls) from the HEPAFIT (n=114, obesity) and Diactive-1 Cohort (n=42, T1D) studies. Clinical measures included anthropometrics, body composition, lipids, liver enzymes, glucose, and HbA1c. Lipidomic analysis of 277 serum/ plasma metabolites used UHPLC-MS. Results: Distinct lipid profiles were seen, with higher diglycerides, triglycerides, and certain phosphatidylinositols in the obesity group, while phosphatidylcholines, phosphatidylethanolamines, cholesterol esters, sphingomyelins, and ceramides were elevated in T1D. Triglycerides acyl chain lengths and saturation levels also varied. Multivariate analysis identified seven metabolites –PC(O-18:1/18:1), PC(O-18:1/22:4), PE(O-16:0/18:1), PE(18:2e/22:6), PC(40:1), PC(O22:1/20:4), and PE(P-18:0/18:1)– significantly associated with clinical parameters. Conclusions: Distinct lipid profiles were observed among adolescents with obesity and T1D in the study, emphasizing the importance of understanding specific metabolite associations with clinical parameters for more precise health management.