Ingesta dietética e índices antropométricos en estudiantes de medicina mexicanos, estratificados por historia familiar de Diabetes Tipo 2

Introduction: Our aim was to evaluate the dietary intake and anthropometric indices in medical students with positive family history of type 2 diabetes (FH-T2D)(+) and without FH-T2D(-).Material and methods: 144 students were analyzed in this cross-sectional, observational study, conducted during the 2017-2018 school year using interviews and 7-day food diary. The participants were characterized anthropometrically. Waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR), corrected mid-arm muscle area (MAMA), fat arm index (FAI), and tricipital skinfold (TSF) were calculated. Results: we found that 79.2% (95%CI: 72.5- 85.8) had FH-T2D. BMI was significantly higher in the participants with FH-T2D than without (23.7±3.8 v 25.0±3.7, respectively, p<0.05). No significant differences were determined in the indices based on central fat distribution (WHtR and WHR), peripheral distribution (FAI and TSF), or muscle mass (MAMA), when stratified by FH-T2D. Regarding dietary intake, when comparing participants with and without FH-T2D, respectively, we observed low/none legume consumption [30% (95%CI: 21.4-38.2) vs 23% (95%CI: 8.2-38.5)], diets high in proteins [38.6% (95%CI: 29.7-47.5) vs 46.7% (95%CI: 28.8-64.5)], low in carbohydrates [84.2% (95%CI: 77.5-90.9) vs 83.3% (95%CI: 70.0-96.7)], and insufficient energy intake [64% (95%CI: 55.2-72.8) vs 56.7% (95%CI: 38.9-74.4)], where the alterations in the dietary pattern were more detrimental for the FH-T2D(+) group. Lastly, the participants with FH-T2D consumed mainly late in the day [60% (95%CI: 50.6-68.6) vs 54% (95%CI: 35.5-71.2)].Conclusions: Even though there were minimal significant differences with the consumption by food categories, those students with FH-T2D presented with a poor, little varied and unbalanced dietary pattern with energy consumption mainly at night. These factors, if prolonged, could increase the risk of developing type 2 diabetes.Introducción: Nuestro objetivo fue evaluar la ingesta dietética y los índices antropométricos en estudiantes de medicina con historia familiar positiva de diabetes tipo 2 (FH-T2D)(+) y sin antecedentes familiares FH-T2D(-).Material y métodos: 144 estudiantes fueron analizados en este estudio transversal y observacional realizado durante el año escolar 2017-2018 mediante entrevistas y un diario de alimentos de 7 días. Los participantes se caracterizaron antropométricamente. Se calculó el ínidce cintura-cadera (WHR) y el índice cintura-altura (WHtR), el área muscular corregida de la mitad del brazo (MAMA), el índice de grasa del brazo (FAI) así como el pliegue cutáneo tricipital (TSF).Resultados:El 79,2% (95%CI: 72,5- 85,8) tenían FH-T2D. El IMC fue significativamente mayor en los participantes con FH-T2D que en aquellos sin FH-T2D (23,7 ± 3,8 v 25,0 ± 3,7, respectivamente, p <0,05). No se determinaron diferencias significativas en los índices basados en la distribución de grasa central (WHtR y WHR), la distribución periférica (FAI y TSF) o la masa muscular (MAMA), cuando se estratificó por FH-T2D. Al comparar la ingesta dietética de participantes con y sin FH-T2D, respectivamente, observamos un consumo bajo / ninguno de leguminosas [30% (95%CI: 21,4-38,2) frente a 23% (95%CI: 8,2-38,5)], dietas altas en proteínas [38,6% (95%CI: 29,7-47,5) frente a 46,7% (95%CI: 28,8-64,5)], bajas en carbohidratos [84,2% (95%CI: 77,5-90,9) frente a 83,3% (95%CI: 70,0-96,7)], y la ingesta de energía insuficiente [64% (95%CI: 55,2-72,8) frente a 56,7% (95%CI: 38,9-74,4)], donde las alteraciones en el patrón de la dieta fueron más perjudiciales para el grupo FH-T2D(+). Los participantes con FH-T2D consumieron al final del día [60% (95%CI: 50,6-68,6) frente a 54% (95%CI: 35,5-71,2)].Conclusiones: Aunque hubo diferencias mínimas significativas con el consumo por categorías de alimentos, aquellos estudiantes con FH-T2D presentaron un patrón dietético deficiente, poco variado y desequilibrado con un consumo de energía principalmente por la noche. Estos factores, si se prolongan, podrían aumentar el riesgo de desarrollar diabetes tipo 2

Quantification of glycated hemoglobin and glucose in vivo using Raman spectroscopy and artificial neural networks

Undiagnosed type 2 diabetes (T2D) remains a major public health concern. The global estimation of undiagnosed diabetes is about 46%, being this situation more critical in developing countries. Therefore, we proposed a non-invasive method to quantify glycated hemoglobin (HbA1c) and glucose in vivo. We developed a technique based on Raman spectroscopy, RReliefF as a feature selection method, and regression based on feed-forward artificial neural networks (FFNN). The spectra were obtained from the forearm, wrist, and index finger of 46 individuals. The use of FFNN allowed us to achieve an error in the predictive model of 0.69% for HbA1c and 30.12 mg/dL for glucose. Patients were classified according to HbA1c values into three categories: healthy, prediabetes, and T2D. The proposed method obtained a specificity and sensitivity of 87.50% and 80.77%, respectively. This work demonstrates the benefit of using artificial neural networks and feature selection techniques to enhance Raman spectra processing to determine glycated hemoglobin and glucose in patients with undiagnosed T2D

Nitration de la Tyrosine dans l albumine et les lipoprotéines

Nous avons étudié par CG-SM l effet de l albumine (Alb) sur la nitration douce de la tyrosine du complexe LDL-Alb (LAC), naturellement présent dans le plasma, par un générateur de peroxynitrite (ONOO-). Dans nos conditions, le taux de nitration de Tyr (3-NO2-Tyr/Tyr) de l albumine seule est de 4,4 x 10-3 mol/mol en présence de HCO3-. L albumine non nitrée ajoutée diminue le taux de nitration de LAC de 2,5 x 10-3 à 0,6 x 10-3 mol/mol. Nous avons ensuite posé la question de la réversibilité de la nitration. Nous avons montré l existence d une activité de dénitration portée par LAC et HDL vis à vis de l albumine nitrée. La réaction produit 1 résidu Tyr pour 1 anion NO3 . L activité est portée par une structure protéique spécifique. Elle est inhibée par le g-tocophérol des LDL et HDL, par l acide ellagique (AE), présent dans des baies et certaines boissons, et son métabolite méthylé, le 3,3 OMAE. Ces résultats posent les bases d une conception nouvelle du rôle de la nitration.AIX-MARSEILLE3-BU Sc.St Jérô (130552102) / SudocSudocFranceF

Visceral and subcutaneous abdominal fat is associated with non-alcoholic fatty liver disease while augmenting Metabolic Syndrome's effect on non-alcoholic fatty liver disease: A cross-sectional study of NHANES 2017-2018.

BackgroundThe aim was to evaluate the effect different types of abdominal fat have on NAFLD development and the effects of abdominal fat has on the association between Metabolic Syndrome (MetS) and NALFD.MethodsData was collected from the cross-sectional NHANES dataset (2017-2018 cycle). Using the controlled attenuation parameter (USG CAP, dB/m), which measures the level of steatosis, the cohort was stratified into two groups: NAFLD(+) (≥274 dB/m) and NAFLD(-). Using complex samples analyses, associations between liver steatosis or NAFLD and types of abdominal fat area [Total abdominal (TAFA), subcutaneous (SAT), and visceral (VAT)] were determined. Pearson's correlation coefficient (r) was calculated to evaluate the associations between adipose tissues and NAFLD. Logistic regression was used to determine the risk [odds ratio (OR) and 95% confidence interval (95%CI)]. Participants were also classified by MetS, using the Harmonizing Definition criteria.ResultsUsing 1,980 participants (96,282,896 weighted), there was a significant (pConclusionTAFA, VAT, and SAT were positively associated with USG CAP values and increased the risk of developing NAFLD. Also, the type of abdominal fat depots did affect the association between MetS and NAFLD

Enfermedades cardiovasculares, hipertensión arterial y consumo de sodio: una relación controversial

Las enfermedades cardiovasculares (ECV) son la principal causa de muerte en el mundo. El alto consumo de sal es uno de los principales factores de riesgo que se asocian al desarrollo de CVD. Las guías clínicas recomiendan restricciones de consumo de sal en pacientes con hipertensión arterial e insuficiencia cardíaca; Sin embargo, los ensayos clínicos han reportado resultados contradictorios. Las dietas de restricción de sodio se asocian con un mayor desarrollo de la aterosclerosis, que actúa a través de la activación del sistema renina-angiotensina-aldosterona, lo que lleva al desarrollo de las enfermedades cardiovasculares.El objetivo de la investigación es aportar evidencias científicas pertinentes que alerten y faculten al profesional de la salud en la toma de decisiones objetivas sobre el control de la ingesta de sal en la dieta, particularmente en pacientes con riesgo de desarrollar enfermedades cardiovasculares

Triglyceride/high-density lipoprotein cholesterol (TG/HDL-C) index as a reference criterion of risk for metabolic syndrome (MetS) and low insulin sensitivity in apparently healthy subjects

"Aim: To evaluate if the TG/HDL-C index can be considered as a reference criterion of MetS and low insulin sensitivity in apparently healthy subjects. Methods: The subjects were Mexican mestizos who resided in Puebla City, Mexico, who were anthropometrically, biochemically, and clinically characterized. The TG/HDL-C index was calculated by dividing triglyceride (TG) levels by HDL-C levels. MetS was diagnosed by the Third Report from the Adult Treatment Panel-National Cholesterol Education Program (ATP-III NCEP) criteria, while insulin sensitivity was evaluated by the Quantitative Insulin sensitivity Check Index (QUICKI). Results: The study included 813 subjects, with an average age of 38.6 ± 12.1 years, of which 564 were women and 249 men. An association was found between high TG/HDL-C index and low insulin sensitivity (Odds ratio [OR]: 4.09; p < 0.01) and with MetS (OR: 15.29; p < 0.01). A correlation was found between the TG/HDL-C index and QUICKI (rho: –0.4989; p < 0.01) and with MetS (rho: 0.6581; p < 0.01). Conclusion: The results indicate that the TG/HDL-C index is associated with low insulin sensitivity and MetS in apparently healthy subjects, suggesting this index as a reference criterion of risk for low insulin sensitivity and MetS"

Validation of a non-laboratorial questionnaire to identify Metabolic Syndrome among a population in central Mexico

Objective. To determine the reliability of a non-laboratorial questionnaire, the Encuesta de Identificación de Sujetos Metabólicamente Comprometidos en Fase-I (ESF-I) for identifying Metabolic Syndrome among a population in central Mexico. Methods. Clinical and biochemical parameters were collected for 232 participants from 1 June 2012 – 31 August 2013. Three definitions of Metabolic Syndrome (Harmonizing, National Cholesterol Education Program Expert Panel and Adult Treatment Panel III [ATPIII], and International Diabetes Federation [IDF]) were used to allocate subjects to either the normal or Metabolic Syndrome positive (MetS+) group. The predictability of the questionnaire was determined by the Area-Under-the-Receiver-Operating Characteristic curve (AUC). Youden's index was calculated and the highest score was considered the optimal cutoff value. Cohen´s kappa (κ) was calculated to determine the level of agreement between the ESF-I questionnaire (max score: 15 based on 15 items) and Metabolic Syndrome. Results. From 53.8% – 60.7% of the participants were determined to be MetS+. The average questionnaire score was significantly higher in the MetS+ group for each definition (4.0 vs. 8.0, P < 0.05). The ESF-I questionnaire was predictive for the Harmonizing definition (AUC = 0.841, 95%CI: 0.790 – 0.892), the ATPIII definition (AUC = 0.827, 95%CI: 0.774 – 0.880), and the IDF definition (AUC = 0.836, 95%CI: 0.785 – 0.887). A cutoff value of 7 was determined for each definition; therefore, the cohort was re-categorized based on questionnaire results. There was a strong agreement between the ESF-I questionnaire and MetS (Harmonizing: accuracy = 77.6%, κ = 0.554; ATPIII: accuracy = 74.1%, κ = 0.489; IDF: accuracy = 74.6%, κ = 0.495, P < 0.001). Conclusion. The ESF-I questionnaire can identify MetS+ patients, and therefore, lead to earlier diagnoses, reduced number of consultations, and lower costs with easier application