Angélica M. Muñoz
University of Antioquia
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Featured researches published by Angélica M. Muñoz.
BMJ Open | 2015
Ettje F. Tigchelaar; Alexandra Zhernakova; Jackie A.M. Dekens; Gerben D. A. Hermes; Agnieszka Baranska; Zlatan Mujagic; Morris A. Swertz; Angélica M. Muñoz; Patrick Deelen; Maria Carmen Cenit; Lude Franke; Salome Scholtens; Ronald P. Stolk; Cisca Wijmenga; Edith J. M. Feskens
Purpose There is a critical need for population-based prospective cohort studies because they follow individuals before the onset of disease, allowing for studies that can identify biomarkers and disease-modifying effects, and thereby contributing to systems epidemiology. Participants This paper describes the design and baseline characteristics of an intensively examined subpopulation of the LifeLines cohort in the Netherlands. In this unique subcohort, LifeLines DEEP, we included 1539 participants aged 18 years and older. Findings to date We collected additional blood (n=1387), exhaled air (n=1425) and faecal samples (n=1248), and elicited responses to gastrointestinal health questionnaires (n=1176) for analysis of the genome, epigenome, transcriptome, microbiome, metabolome and other biological levels. Here, we provide an overview of the different data layers in LifeLines DEEP and present baseline characteristics of the study population including food intake and quality of life. We also describe how the LifeLines DEEP cohort allows for the detailed investigation of genetic, genomic and metabolic variation for a wide range of phenotypic outcomes. Finally, we examine the determinants of gastrointestinal health, an area of particular interest to us that can be addressed by LifeLines DEEP. Future plans We have established a cohort of which multiple data levels allow for the integrative analysis of populations for translation of this information into biomarkers for disease, and which will offer new insights into disease mechanisms and prevention.
Metabolic Syndrome and Related Disorders | 2014
Gloria M. Agudelo; Gabriel Bedoya; Alejandro Estrada; Fredy A. Patiño; Angélica M. Muñoz; Claudia M. Velásquez
BACKGROUND Despite the increasing prevalence of metabolic syndrome in adolescents, there is no consensus for its diagnosis. METHODS A cross-sectional study was conducted to compare the prevalence of metabolic syndrome in adolescents by different definitions, evaluate their concordance, and suggest which definition to apply in this population. A total of 851 adolescents between 10 and 18 years of age were evaluated. Anthropometric (weight, height, waist circumference), biochemical (glucose, lipid profile), and blood pressure data were taken. The prevalence of metabolic syndrome was determined by the definitions of the International Diabetes Federation (IDF) and four published studies by Cook et al., de Ferranti et al., Agudelo et al., and Ford et al. Concordance was determined according to the kappa index. RESULTS The prevalence of metabolic syndrome was 0.9%, 3.8%, 4.1%, 10.5%, and 11.4%, according to the IDF, Cook et al., Ford et al., Agudelo et al., and de Ferranti et al. definitions, respectively. The most prevalent components were hypertriglyceridemia and low high-density lipoprotein cholesterol, whereas the least prevalent components were abdominal obesity and hyperglycemia. The highest concordance was found between the definitions by Cook et al. and Ford et al. (kappa=0.92), whereas the greatest discordance was between the de Ferranti et al. and IDF definitions (kappa=0.14). CONCLUSIONS Metabolic syndrome and its components were conditions present in the adolescents of this study. In this population, with a high prevalence of dyslipidemia and a lower prevalence of abdominal obesity and hyperglycemia, the recommendation to diagnose metabolic syndrome would be that used by Ford et al.
Journal of Aging and Health | 2010
Angélica M. Muñoz; Luis Falque-Madrid; Raquel Zambrano; Gladys E. Maestre
Objective: Determine basic anthropometry for elderly participants in a Venezuelan community and compare results for subgroups with different health status. Method: Standardized anthropometric, nutritional, neurological, neuropsychiatric, and cardiovascular assessments generated data on weight, height, and body mass index (BMI) by sex and age for the total sample, for normative groups without health problems that might impact anthropometry, and for reference groups with no major health problems. Centile curves of anthropometric measurements versus age are determined for women and men in the normative group. Results : Mean weight and height are significantly different between sexes, but not BMI. All three parameters show gradual declines with age. The mean 90% central interval for BMI in the normative and reference groups is 20-29 kg/m2. Conclusion: The anthropometric data for healthy elderly Venezuelans can be used in monitoring anthropometric changes and disease risk analysis for this population and possibly for other Latin American populations.
bioRxiv | 2014
Ettje F. Tigchelaar; Alexandra Zhernakova; Jackie A.M. Dekens; Gerben D. A. Hermes; Agnieszka Baranska; Zlatan Mujagic; Morris A. Swertz; Angélica M. Muñoz; Patrick Deelen; Maria Carmen Cenit; Lude Franke; Salome Scholtens; Ronald P. Stolk; Cisca Wijmenga; Edith J. M. Feskens
There is a critical need for population-based prospective cohort studies because they follow individuals before the onset of disease, allowing for studies that can identify biomarkers and disease-modifying effects and thereby contributing to systems epidemiology. This paper describes the design and baseline characteristics of an intensively examined subpopulation of the LifeLines cohort in the Netherlands. For this unique sub-cohort, LifeLines DEEP, additional blood (n=1387), exhaled air (n=1425), fecal samples (n=1248) and gastrointestinal health questionnaires (n=1176) were collected for analysis of the genome, epigenome, transcriptome, microbiome, metabolome and other biological levels. Here, we provide an overview of the different data layers in LifeLines DEEP and present baseline characteristics of the study population including food intake and quality of life. We also describe how the LifeLines DEEP cohort allows for the detailed investigation of genetic, genomic and metabolic variation on a wealth of phenotypic outcomes. Finally, we examine the determinants of gastrointestinal health, an area of particular interest to us that can be addressed by LifeLines DEEP.
Biomedica | 2011
Nora Elena Múnera; Rosa Magdalena Uscátegui; Beatriz Elena Parra; Luz Mariela Manjarrés; Fredy A. Patiño; Claudia María Velásquez; Alejandro Estrada; Gabriel Bedoya; Vicky Parra; Angélica M. Muñoz; Ana Carolina Orozco; Gloria M. Agudelo
INTRODUCTION The environmental risk factors such as food intake and physival activity, are determinants in the etiology of metabolic syndrome in overweight adolescents. OBJECTIVE To explore the association between environmental risk factors and components presence of metabolic syndrome in overweight youngsters in Medellín. MATERIALS AND METHODS Adolescents between the ages of 10 and 18 were selected for a cross sectional study. Body composition by anthropometry, blood pressure, lipid profile, glucose, insulin, food intake and physical activity level were assessed in the study population. RESULTS The prevalence for metabolic syndrome components of hypertriglyceridemia was 40.9%; hypertension, 20.9%; low HDLc, 15.6%; high waist circumference, 4.0%, and hyperglycemia, 0.9%; the overall prevalence of metabolic syndrome was 3.1%. There was a statistical difference (p<0.005) between the consumption of calories, simple and total carbohydrates and the presence of the components; no association was found between the level of physical activity and the presence of components (p>0.05). The logistic regression model showed a higher probability of having at least one component if the youngster was male (p=0.022), with a higher BMI (Body Mass Index)(p=0.019) and was located in the fourth simple carbohydrates consumption quartile (p=0.036). CONCLUSIONS Environmental risk factors associated with components of metabolic syndrome were the increased consumption of calories, simple and complex carbohydrates, all directly related to the BMI. In contrast, the level of physical activity, family history and personal risk factors showed no association. The metabolic syndrome only occurred in youngsters with obesity.
Genes and Nutrition | 2017
Angélica M. Muñoz; Claudia María Velásquez; Gloria María Agudelo; Rosa Magdalena Uscátegui; Alejandro Estrada; Fredy A. Patiño; Beatriz Elena Parra; María Victoria Parra; Gabriel Bedoya
BackgroundA polymorphism in a gene may exert its effects on multiple phenotypes. The aim of this study is to explore the association of 10 metabolic syndrome candidate genes with excess weight and adiposity and evaluate the effect of perinatal and socioeconomic factors on these associations.MethodsThe anthropometry, socioeconomic and perinatal conditions and 10 polymorphisms were evaluated in 1081 young people between 10 and 18 years old. Genotypic associations were calculated using logistic and linear models adjusted by age, gender, and pubertal maturation, and a genetic risk score (GRS) was calculated by summing the number of effect alleles.ResultsWe found that AGT-rs699 and the IRS2-rs1805097 variants were significantly associated with excess weight, OR = 1.25 (CI 95% 1.01–1.54; p = 0.034); OR = 0.77 (CI 95% 0.62–0.96; p = 0.022), respectively. AGT-rs699 and FTO-rs17817449 variants were significantly and directly associated with body mass index (BMI) (p = 0.036 and p = 0.031), while IRS2-rs1805097 and UCP3-rs1800849 were significantly and negatively associated with BMI and waist circumference, correspondingly. Each additional effect allele in GRS was associated with an increase of 0.020 log(BMI) (p = 0.004). No effects from the socioeconomic and perinatal factors evaluated on the association of the candidate genes with the phenotypes were detected.ConclusionsOur observation suggests that AGT-rs699 and FTO-rs17817449 variants may contribute to the risk development of excess weight and an increase in the BMI, while IRS2-rs1805097 showed a protector effect; in addition, UCP3- rs1800849 showed a decreasing waist circumference. Socioeconomic and perinatal factors had no effect on the associations of the candidate gene.
Birth defects research | 2017
Laidy D. Arias; Beatriz Elena Parra; Angélica M. Muñoz; Diana L. Cárdenas; Tiffany G. Duque; Luz Mariela Manjarrés
BACKGROUND This investigation determines the nutritional state of serum and red blood cell (RBC) folate concentration and their relation with intake of folate, B6 ,and B12 , with serum vitamin B12 , and with genetic variants after provision of 400 μg/day of folic acid for 3 months to a group of 34 Colombian women of reproductive age. METHODS We evaluated nutrient intake using 24-hr recall, assessing the levels of serum folate, RBC folate, serum B12 , and homocysteine, as well as determining genetic variants of the enzyme MTHFR (C677T and A1298C) and CβS (844ins68pb). RESULTS The results show that following intake of 400 μg/day of folic acid, the risk of folate deficiency as seen in regular dietary intake disappears and the nutritional status of this nutrient is increased (p < 0.001). With respect to vitamin B12, the risk of serum deficiency with folic acid consumption increased slightly, and those that were found to be B12 deficient after supplementation also had decreased levels of serum homocysteine. Genetic factors did not influence the nutritional status of folate, although an association was found between the intake of nutrients and biochemical indicators. CONCLUSION Given the results of our study, subsequent studies evaluating folic acid supplementation should also consider evaluating the status of B12 and B6 , and serum and RBC folate, as they participate interdependently in the cycle of folate and methionine and in homocysteine metabolism.Birth Defects Research 109:564-573, 2017.© 2017 Wiley Periodicals, Inc.
Revista chilena de nutrición | 2016
M Julián Herrera; Angélica M. Muñoz; E S Beatriz Parra
Folate is an essential nutrient because mammals lack biological activity to synthesize. It different factors generate folate deficien - cy. Recent studies h...
Biomedica | 2006
Angélica M. Muñoz; Gloria M. Agudelo; Francisco Lopera
Biomedica | 2012
Nora Elena Múnera; Rosa Magdalena Uscátegui; Beatriz Elena Parra; Luz Mariela Manjarrés; Fredy A. Patiño; Claudia María Velásquez; Alejandro Estrada; Gabriel Bedoya; Vicky Parra; Angélica M. Muñoz; Ana Carolina Orozco; Gloria María Agudelo