Benemérita Universidad Autónoma de Puebla
Puebla, Puebla | México
Main Specialties: Public Health
Additional Specialties: Nutrition, Administration of Health Services
Primary Affiliation: Benemérita Universidad Autónoma de Puebla - Puebla, Puebla , México
5PubMed Central Citations
Metab Syndr Relat Disord 2016 May 10;14(4):210-6. Epub 2016 Feb 10.
1 Facultad de Medicina, Benemérita Universidad Autónoma de Puebla , Puebla, México .
Metab Syndr Relat Disord 2016 Apr 9;14(3):154-60. Epub 2016 Feb 9.
1 Facultad de Medicina, Benemérita Universidad Autónoma de Puebla (BUAP) , Puebla, Mexico .
Montiel-Tellez et al., Endocrinol Metab Syndr 2016, 5:2
Endocrinol Metab Syndr
Abstract Objective: To determine the association between the c.+62G>A and g.-420C>G polymorphisms and Type 2 Diabetes (T2D) or obesity susceptibility for Mexicans. Additionally, we examined their overall effect across different populations by a systematic review. Methods: 164 Mexicans were classified as Healthy, Obese, or T2D. Genotypes were determined and associated risk for the heterozygous, homozygous, dominant, recessive, and allelic genetic models were determined by calculating the Odds Ratios (OR). For the meta-analysis, original publications that had determined RETN polymorphisms in T2D or obese subjects were searched for in PubMed, Scopus, EBSCO, Ovid, and Wiley databases until November 2015, using the search terms: T2D, obesity, RETN, and polymorphism. Pooled ORs were computed using a random-effects or fixed-effects models. Results: For our cohort, no associations were observed between the polymorphisms and obesity or T2D. The metaanalysis indicates an increased risk of obesity among carriers of the g.-420G allele for the heterozygous and dominant models (OR=1.33 and OR=1.30, p<0.05, respectively). By regional assessment, Africans were associated with an elevated risk of developing T2D (OR=2.35-7.17, p<0.05) and obesity (OR=1.54-2.13, p<0.05). North Americans had an increased risk of developing obesity for the heterozygous and dominant models (OR=1.49and OR=1.42, p<0.05, respectively). No associations were determined between the c.+62 polymorphism and obesity or T2D. Conclusion: For Mexicans, none of the polymorphisms were associated with a risk of developing obesity or T2D. However, there is an increased risk of developing obesity for the whole population for subjects who carry the g.-420G allele.
Metab Syndr Relat Disord 2015 Feb 25;13(1):45-51. Epub 2014 Nov 25.
1 Facultad de Medicina, Benemérita Universidad Autónoma de Puebla , Puebla, Puebla, México.
Porchia et al., J Diabetes Metab 2014, 5:10
J Diabetes Metab
Background: Insulin Sensitivity (IS) and Insulin Resistance (IR) mark the development of Type 2 Diabetes. Many reports have demonstrated that anthropometric indices can detect IS and IR, however ethnic variations can influence the optimal cutoff value. Therefore, the aim of this study was to determine the optimal cutoff value for Waist Circumference (WC), Body-Mass Index (BMI), Waist-To-Hip Ratio (WHR), Waist-To-Height Ratio (WHtR), and percent Body Fat (BF %) to determine IS and IR from subjects from central Mexico. Methods: WC, BMI, WHR, WHtR, BF%, fasting plasma glucose, and insulin were determined in 569 subjects (male=286 & females=283; ages: 18-84). IR and IS were determined by the Homeostatic Model Assessment online calculator and Quantitative Insulin Sensitivity Check Index, respectively. The area under the Receiver Operating Characteristic curve (AUC) and Youden´s index for each anthropometric index was calculated to determine its cutoff value. Cutoff value´s efficiency was measured by determining the test´s accuracy. Results: WC, BMI, WHtR and BF% negatively correlated IS and positively correlated to IR (p<0.0001). WHR did not correlate with IS nor IR. AUC analysis showed that WC, BMI, WHtR and BF% were acceptable test to determine IS and IR (IS: males: AUC=0.736-0.770 and females: AUC=0.648-0.666; IR: males: AUC=0.740-0.760 and females: AUC=0.681-0.709, p<0.001). Comparison of AUC demonstrated that WC, BMI, WHtR and BF% had similar efficiency to determine IS and IR. However, after determining the optimal cutoff value and using highest test accuracy, we determined the better indicators for IS was WHtR (cutoff=0.540, accuracy=76.8%) and BF% (cutoff=31.5%, accuracy=68.0%) and for IR was WC (cutoff=99.5 cm, accuracy=71.0%) and BMI (cutoff=31.6 kg/m2, accuracy=79.9%) for males and females, respectively. Conclusion: When comparing multiple anthropometric indices, we determined that WHtR and WC for males and BF% and BMI for females were better indicators for determining IS and IR, respectively.
Arch Med Res 2014 Apr 4;45(3):217-22. Epub 2014 Mar 4.
Facultad de Medicina, Benemérita Universidad Autónoma de Puebla (BUAP), Puebla, Mexico.
Mem Inst Oswaldo Cruz 2014 Apr 17;109(2):174-81. Epub 2014 Feb 17.
Facultad de Medicina, Benemérita Universidad Autónoma de Puebla, Puebla, México.
Arch Med Res 2012 Oct 12;43(7):541-7. Epub 2012 Sep 12.
Facultad de Medicina, Benemérita Universidad Autónoma de Puebla, Mexico.
Diabetes hoy para el médico y el profesional de la salud, 2011; XIII (5): 2814-2822.
Diabetes hoy para el médico y el profesional de la salud
The metabolic syndrome is considered a growing public health problem worldwide. Recent studies have suggested that this disease may result from different pathophysiological mechanisms that may be involved simultaneosly. Outstanding among them, the oxidative stress (OS), this occurs when the balance between antioxidant mechanisms and the production of pro-oxidant molecules is altered. The OS stimulates the production of cytokines (interleukin (IL) 6, TNF a, IL-8, IL-18, etc) that initiate an inflammatory response and thus alteration in the metabolism og carbohydrates, lipids and proteins. The increase in the secretion of pro-oxidant molecules, it suggested is responsible for the generation of insuline resistance in skeletal muscle, adipose tissue and impaired insulin secretionby pancreatic cells. Besides the above, the accumulation of pro-oxidant molecules in the body cause damage and activationof specific pathways, both events lead to proliferation, dysfunction, adaptation or cell death.