1
|
Velazquez-Roman J, Angulo-Zamudio UA, Leon-Sicairos N, Flores-Villaseñor H, Benitez-Baez M, Espinoza-Salomón A, Karam-León A, Villamil-Ramírez H, Canizales-Quinteros S, Macías-Kauffer L, Monroy-Higuera J, Acosta-Smith E, Canizalez-Roman A. Association of PCSK1 and PPARG1 Allelic Variants with Obesity and Metabolic Syndrome in Mexican Adults. Genes (Basel) 2023; 14:1775. [PMID: 37761915 PMCID: PMC10531047 DOI: 10.3390/genes14091775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 09/06/2023] [Accepted: 09/07/2023] [Indexed: 09/29/2023] Open
Abstract
Metabolic diseases, including obesity, diabetes, and metabolic syndrome, are among the most important public health challenges worldwide. Metabolic diseases are classified as multifactorial diseases in which genetic variants such as single-nucleotide polymorphisms (SNPs) may play an important role. The present study aimed to identify associations linking allelic variants of the PCSK1, TMEM18, GPX5, ZPR1, ZBTB16, and PPARG1 genes with anthropometric and biochemical traits and metabolic diseases (obesity or metabolic syndrome) in an adult population from northwestern Mexico. METHODS Blood samples were collected from 523 subjects, including 247 with normal weight, 276 with obesity, and 147 with metabolic syndrome. Anthropometric and biochemical characteristics were recorded, and single-nucleotide polymorphisms (SNPs) were genotyped by real-time PCR. RESULTS PCSK1 was significantly (p < 0.05) associated with BMI, weight, and waist-to-hip ratio; TMEM18 was significantly associated with systolic blood pressure and triglyceride levels; GPX5 was significantly associated with HDL cholesterol levels. In addition, PCSK1 was associated with obesity (p = 1.0 × 10-4) and metabolic syndrome (p = 3.0 × 10-3), whereas PPARG1 was associated with obesity (p = 0.044). CONCLUSIONS The associations found in this study, mainly between allelic variants of PCSK1 and metabolic traits, obesity, and metabolic syndrome, may represent a risk for developing metabolic diseases in adult subjects from northwestern Mexico.
Collapse
Affiliation(s)
- Jorge Velazquez-Roman
- School of Medicine, Autonomous University of Sinaloa, Culiacan Sinaloa 80019, Mexico; (J.V.-R.); (U.A.A.-Z.); (N.L.-S.); (H.F.-V.); (A.E.-S.); (E.A.-S.)
| | - Uriel A. Angulo-Zamudio
- School of Medicine, Autonomous University of Sinaloa, Culiacan Sinaloa 80019, Mexico; (J.V.-R.); (U.A.A.-Z.); (N.L.-S.); (H.F.-V.); (A.E.-S.); (E.A.-S.)
| | - Nidia Leon-Sicairos
- School of Medicine, Autonomous University of Sinaloa, Culiacan Sinaloa 80019, Mexico; (J.V.-R.); (U.A.A.-Z.); (N.L.-S.); (H.F.-V.); (A.E.-S.); (E.A.-S.)
- Pediatric Hospital of Sinaloa, Constitución 530, Jorge Almada, Culiacan Sinaloa 80200, Mexico
| | - Hector Flores-Villaseñor
- School of Medicine, Autonomous University of Sinaloa, Culiacan Sinaloa 80019, Mexico; (J.V.-R.); (U.A.A.-Z.); (N.L.-S.); (H.F.-V.); (A.E.-S.); (E.A.-S.)
- The Sinaloa State Public Health Laboratory, Secretariat of Health, Culiacan Sinaloa 80020, Mexico
| | - Miriam Benitez-Baez
- Programa de Doctorado, Posgrado Integral en Biotecnología, FCQB, UAS, Culiacan Sinaloa 80013, Mexico; (M.B.-B.); (A.K.-L.); (J.M.-H.)
| | - Ana Espinoza-Salomón
- School of Medicine, Autonomous University of Sinaloa, Culiacan Sinaloa 80019, Mexico; (J.V.-R.); (U.A.A.-Z.); (N.L.-S.); (H.F.-V.); (A.E.-S.); (E.A.-S.)
| | - Alejandra Karam-León
- Programa de Doctorado, Posgrado Integral en Biotecnología, FCQB, UAS, Culiacan Sinaloa 80013, Mexico; (M.B.-B.); (A.K.-L.); (J.M.-H.)
| | - Hugo Villamil-Ramírez
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/INMEGEN, Mexico City 04510, Mexico; (H.V.-R.); (S.C.-Q.); (L.M.-K.)
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/INMEGEN, Mexico City 04510, Mexico; (H.V.-R.); (S.C.-Q.); (L.M.-K.)
| | - Luis Macías-Kauffer
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/INMEGEN, Mexico City 04510, Mexico; (H.V.-R.); (S.C.-Q.); (L.M.-K.)
| | - Jose Monroy-Higuera
- Programa de Doctorado, Posgrado Integral en Biotecnología, FCQB, UAS, Culiacan Sinaloa 80013, Mexico; (M.B.-B.); (A.K.-L.); (J.M.-H.)
| | - Erika Acosta-Smith
- School of Medicine, Autonomous University of Sinaloa, Culiacan Sinaloa 80019, Mexico; (J.V.-R.); (U.A.A.-Z.); (N.L.-S.); (H.F.-V.); (A.E.-S.); (E.A.-S.)
| | - Adrian Canizalez-Roman
- School of Medicine, Autonomous University of Sinaloa, Culiacan Sinaloa 80019, Mexico; (J.V.-R.); (U.A.A.-Z.); (N.L.-S.); (H.F.-V.); (A.E.-S.); (E.A.-S.)
- The Women’s Hospital, Secretariat of Health, Culiacan Sinaloa 80020, Mexico
| |
Collapse
|
2
|
Velazquez-Roman J, Angulo-Zamudio UA, León-Sicairos N, Medina-Serrano J, DeLira-Bustillos N, Villamil-Ramírez H, Canizales-Quinteros S, Macías-Kauffer L, Campos-Romero A, Alcántar-Fernández J, Canizalez-Roman A. Association of FTO, ABCA1, ADRB3, and PPARG variants with obesity, type 2 diabetes, and metabolic syndrome in a Northwest Mexican adult population. J Diabetes Complications 2021; 35:108025. [PMID: 34420811 DOI: 10.1016/j.jdiacomp.2021.108025] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 08/10/2021] [Accepted: 08/14/2021] [Indexed: 11/28/2022]
Abstract
AIM To identify associations among allelic variants of the genes FTO, ABCA1, ADRB3, and PPARG with anthropometric and biochemical traits, metabolic diseases (obesity, T2D or metabolic syndrome) in an adult population from Northwest Mexico. METHODS Blood samples were collected from 846 subjects including 266 normal weight subjects, 285 with obesity, and 295 with T2D. Of the 846 persons in the study, 365 presented metabolic syndrome diagnostic criteria. Anthropometric and biochemical traits were recorded and 4 single nucleotide polymorphisms (SNPs): FTO rs9939609 A-allele, ABCA1 rs9282541 A-allele, ADRB3 rs4994 G-allele, and PPARG rs1801282 G-allele were genotyped by real-time PCR. RESULTS FTO rs9939609 A-allele was significantly associated with obesity (p: 8.3 × 10-4), and metabolic syndrome (p: 0.001), but no individual SNPs were significantly associated with T2D. Finally, the cumulative risk of the four SNPs was significantly associated with obesity (p: 1.95 × 10-4). CONCLUSION Associations in FTO, ABCA, ADRB3, and PPARG SNPs presented in this study with obesity and metabolic syndrome could represent a risk for developing metabolic diseases in Northwest Mexican adult subjects.
Collapse
Affiliation(s)
- Jorge Velazquez-Roman
- School of Medicine, CIASaP, Autonomous University of Sinaloa, 80246 Culiacan, Sinaloa, Mexico
| | - Uriel A Angulo-Zamudio
- School of Medicine, CIASaP, Autonomous University of Sinaloa, 80246 Culiacan, Sinaloa, Mexico
| | - Nidia León-Sicairos
- School of Medicine, CIASaP, Autonomous University of Sinaloa, 80246 Culiacan, Sinaloa, Mexico; Pediatric Hospital of Sinaloa, 80200 Culiacan, Sinaloa, Mexico
| | - Julio Medina-Serrano
- Programa de Maestría en Ciencias en Biomedicina Molecular, UAS, 80246 Culiacan, Sinaloa, Mexico; Coordinación de Planeación y Enlace Institucional, Órgano de Operación Administrativa Desconcentrada (OOAD) de Sinaloa, Instituto Mexicano del Seguro Social (IMSS), Culiacan Sinaloa, Mexico
| | - Nora DeLira-Bustillos
- Programa de Maestría en Ciencias en Biomedicina Molecular, UAS, 80246 Culiacan, Sinaloa, Mexico
| | - Hugo Villamil-Ramírez
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/INMEGEN, Mexico City, Mexico
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/INMEGEN, Mexico City, Mexico
| | - Luis Macías-Kauffer
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/INMEGEN, Mexico City, Mexico
| | | | | | - Adrian Canizalez-Roman
- School of Medicine, CIASaP, Autonomous University of Sinaloa, 80246 Culiacan, Sinaloa, Mexico; The Women's Hospital, Secretariat of Health, 80020 Culiacan, Sinaloa, Mexico.
| |
Collapse
|
3
|
León-Mimila P, Villamil-Ramírez H, Li XS, Shih DM, Hui ST, Ocampo-Medina E, López-Contreras B, Morán-Ramos S, Olivares-Arevalo M, Grandini-Rosales P, Macías-Kauffer L, González-González I, Hernández-Pando R, Gómez-Pérez F, Campos-Pérez F, Aguilar-Salinas C, Larrieta-Carrasco E, Villarreal-Molina T, Wang Z, Lusis AJ, Hazen SL, Huertas-Vazquez A, Canizales-Quinteros S. Trimethylamine N-oxide levels are associated with NASH in obese subjects with type 2 diabetes. Diabetes Metab 2020; 47:101183. [PMID: 32791310 DOI: 10.1016/j.diabet.2020.07.010] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Revised: 07/08/2020] [Accepted: 07/28/2020] [Indexed: 12/23/2022]
Abstract
AIMS Trimethylamine N-oxide (TMAO), choline and betaine serum levels have been associated with metabolic diseases including type 2 diabetes (T2D) and non-alcoholic fatty liver disease (NAFLD). These associations could be mediated by insulin resistance. However, the relationships among these metabolites, insulin resistance and NAFLD have not been thoroughly investigated. Moreover, it has recently been suggested that TMAO could play a role in NAFLD by altering bile acid metabolism. We examined the association between circulating TMAO, choline and betaine levels and NAFLD in obese subjects. METHODS Serum TMAO, choline, betaine and bile acid levels were measured in 357 Mexican obese patients with different grades of NAFLD as determined by liver histology. Associations of NAFLD with TMAO, choline and betaine levels were tested. Moreover, association of TMAO levels with non-alcoholic steatohepatitis (NASH) was tested separately in patients with and without T2D. RESULTS TMAO and choline levels were significantly associated with NAFLD histologic features and NASH risk. While increased serum TMAO levels were significantly associated with NASH in patients with T2D, in non-T2D subjects this association lost significance after adjusting for sex, BMI and HOMA2-IR. Moreover, circulating secondary bile acids were associated both with increased TMAO levels and NASH. CONCLUSIONS In obese patients, circulating TMAO levels were associated with NASH mainly in the presence of T2D. Functional studies are required to evaluate the role of insulin resistance and T2D in this association, both highly prevalent in NASH patients.
Collapse
Affiliation(s)
- P León-Mimila
- Department of Medicine, Division of Cardiology, David Geffen School of Medicine, University of California, Los Angeles, USA; Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/INMEGEN, Mexico City, Mexico
| | - H Villamil-Ramírez
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/INMEGEN, Mexico City, Mexico
| | - X S Li
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - D M Shih
- Department of Medicine, Division of Cardiology, David Geffen School of Medicine, University of California, Los Angeles, USA
| | - S T Hui
- Department of Medicine, Division of Cardiology, David Geffen School of Medicine, University of California, Los Angeles, USA
| | - E Ocampo-Medina
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/INMEGEN, Mexico City, Mexico
| | - B López-Contreras
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/INMEGEN, Mexico City, Mexico
| | - S Morán-Ramos
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/INMEGEN, Mexico City, Mexico; Cátedras, CONACyT, Mexico City, Mexico
| | - M Olivares-Arevalo
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/INMEGEN, Mexico City, Mexico
| | - P Grandini-Rosales
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/INMEGEN, Mexico City, Mexico
| | - L Macías-Kauffer
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/INMEGEN, Mexico City, Mexico
| | - I González-González
- Clínica Integral de Cirugía para la Obesidad y Enfermedades Metabólicas, Hospital General Dr. Rubén Lénero, Mexico City, Mexico
| | - R Hernández-Pando
- Departamento de Patología Experimental, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán (INCMNSZ), Mexico City, Mexico
| | - F Gómez-Pérez
- Departamento de Endocrinología, INCMNSZ, Mexico City, Mexico
| | - F Campos-Pérez
- Clínica Integral de Cirugía para la Obesidad y Enfermedades Metabólicas, Hospital General Dr. Rubén Lénero, Mexico City, Mexico
| | - C Aguilar-Salinas
- Departamento de Endocrinología, INCMNSZ, Mexico City, Mexico; Unidad de Investigación en Enfermedades Metabólicas, INCMNSZ, Mexico City, Mexico; Escuela de Medicina y Ciencias de la Salud, Tecnologico de Monterrey, Monterrey, Nuevo Leon 64710, Mexico
| | | | - T Villarreal-Molina
- Laboratorio de Genómica de Enfermedades Cardiovasculares, INMEGEN, Mexico City, Mexico
| | - Z Wang
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - A J Lusis
- Department of Medicine, Division of Cardiology, David Geffen School of Medicine, University of California, Los Angeles, USA
| | - S L Hazen
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA; Department of Cardiovascular Medicine, Heart and Vascular Institute, Cleveland Clinic, Cleveland, OH, USA
| | - A Huertas-Vazquez
- Department of Medicine, Division of Cardiology, David Geffen School of Medicine, University of California, Los Angeles, USA.
| | - S Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/INMEGEN, Mexico City, Mexico.
| |
Collapse
|
4
|
Martínez-Magaña JJ, Gonzalez-Castro TB, Genís-Mendoza AD, Tovilla-Zárate CA, Juárez-Rojop IE, Saucedo-Uribe E, Rodríguez-Mayoral O, Lanzagorta N, Escamilla M, Macías-Kauffer L, Nicolini H. EXPLORATORY ANALYSIS OF POLYGENIC RISK SCORES FOR PSYCHIATRIC DISORDERS: APPLIED TO DUAL DIAGNOSIS. Rev Invest Clin 2020; 71:321-329. [PMID: 31599879 DOI: 10.24875/ric.19003013] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Background Concurrence of substance use disorders (SUDs) is high in individuals with psychiatric illnesses; more importantly, individuals with both disorders (dual diagnosis) have more severe symptoms. Psychiatric disorders have been proposed to share a genetic susceptibility with SUDs. To explore this shared genetic susceptibility, we analyzed whether any of the polygenic risk scores (PRSs) for psychiatric disorders could be associated to dual diagnosis in patients with schizophrenia (SCZ) or bipolar disorder (BD). Methods We included 192 individuals of Mexican ancestry: 72 with SCZ, 53 with BD, and 67 unrelated controls without psychiatric disorders. We derived calculations of PRS for autism spectrum disorders, attention-deficit/hyperactive disorder, BD, major depression, and SCZ using summary genome-wide association statistics previously published. Results We found that dual diagnosis had a shared genetic susceptibility with major depressive disorder (MDD) and SCZ; furthermore, in individuals with BD, dual diagnosis could be predicted by PRS for MDD. Conclusions Our results reinforce the notion that individuals with dual diagnosis have a higher genetic susceptibility to develop both disorders. However, analyses of larger sample sizes are required to further clarify how to predict risks through PRS within different populations.
Collapse
Affiliation(s)
- José J Martínez-Magaña
- Academic Division of Health Sciences, Universidad Juárez Autónoma de Tabasco, Villahermosa, Tabasco, Mexico.,Genomics Laboratory of Psychiatric and Neurodegenerative Diseases, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Thelma B Gonzalez-Castro
- Academic Division of Health Sciences, Universidad Juárez Autónoma de Tabasco, Villahermosa, Tabasco, Mexico.,Multidisciplinary Academic Division of Jalpa de Méndez, Universidad Juárez Autónoma de Tabasco, Jalpa de Méndez, Mexico
| | - Alma D Genís-Mendoza
- Genomics Laboratory of Psychiatric and Neurodegenerative Diseases, Instituto Nacional de Medicina Genómica, Mexico City, Mexico.,Hospital Psiquiátrico Infantil "Juan N. Navarro", Servicios de Atención Psiquiátrica, Mexico City, Mexico
| | - Carlos A Tovilla-Zárate
- Multidisciplinary Academic Division of Comalcalco, Universidad Juárez Autónoma de Tabasco, Comalcalco, Mexico
| | - Isela E Juárez-Rojop
- Academic Division of Health Sciences, Universidad Juárez Autónoma de Tabasco, Villahermosa, Tabasco, Mexico
| | | | | | - Nuria Lanzagorta
- Grupo de Estudios Médicos y Familiares Carracci, Mexico City, Mexico
| | - Michael Escamilla
- Department of Psychiatry and Center of Excellence in Neurosciences, Texas Tech University Health Sciences Center, El Paso, Texas, USA
| | - Luis Macías-Kauffer
- Unit of Population Genomics Applied to Health, Faculty of Chemistry, Universidad Nacional Autónoma de México - Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Humberto Nicolini
- Genomics Laboratory of Psychiatric and Neurodegenerative Diseases, Instituto Nacional de Medicina Genómica, Mexico City, Mexico.,Grupo de Estudios Médicos y Familiares Carracci, Mexico City, Mexico
| |
Collapse
|
5
|
Rivera-Paredez B, Macías-Kauffer L, Fernandez-Lopez JC, Villalobos-Comparán M, Martinez-Aguilar MM, de la Cruz-Montoya A, Ramírez-Salazar EG, Villamil-Ramírez H, Quiterio M, Ramírez-Palacios P, Romero-Hidalgo S, Villarreal-Molina MT, Denova-Gutiérrez E, Flores YN, Canizales-Quinteros S, Salmerón J, Velázquez-Cruz R. Influence of Genetic and Non-Genetic Risk Factors for Serum Uric Acid Levels and Hyperuricemia in Mexicans. Nutrients 2019; 11:nu11061336. [PMID: 31207883 PMCID: PMC6627998 DOI: 10.3390/nu11061336] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2019] [Revised: 05/29/2019] [Accepted: 06/10/2019] [Indexed: 12/21/2022] Open
Abstract
Risk of hyperuricemia is modified by genetic and environmental factors. Our aim was to identify factors associated with serum uric acid levels and hyperuricemia in Mexicans. A pilot Genome-wide association study GWAS was performed in a subgroup of participants (n = 411) from the Health Workers Cohort Study (HWCS). Single nucleotide polymorphisms (SNPs) associated with serum uric acid levels were validated in all the HWCS participants (n = 1939) and replicated in independent children (n = 1080) and adult (n = 1073) case-control studies. The meta-analysis of the whole HWCS and replication samples identified three SLC2A9 SNPs: rs1014290 (p = 2.3 × 10−64), rs3775948 (p = 8.2 × 10−64) and rs11722228 (p = 1.1 × 10−17); and an ABCG2 missense SNP, rs2231142 (p = 1.0 × 10−18). Among the non-genetic factors identified, the visceral adiposity index, smoking, the metabolic syndrome and its components (waist circumference, blood pressure, glucose and hyperlipidemia) were associated with increased serum uric acid levels and hyperuricemia (p < 0.05). Among the female HWCS participants, the odds ratio for hyperuricemia was 1.24 (95% CI, 1.01–1.53) per unit increase in soft drink consumption. As reported in other studies, our findings indicate that diet, adiposity and genetic variation contribute to the elevated prevalence of hyperuricemia in Mexico.
Collapse
Affiliation(s)
- Berenice Rivera-Paredez
- Centro de Investigación en Políticas, Población y Salud de la Facultad de Medicina de la Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico.
| | - Luis Macías-Kauffer
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), Ciudad de México 14610, Mexico.
| | | | | | - Mayeli M Martinez-Aguilar
- Laboratorio de Genómica del Metabolismo Óseo, Instituto Nacional de Medicina Genómica (INMEGEN), Ciudad de México 14610, Mexico.
| | - Aldo de la Cruz-Montoya
- Laboratorio de Genómica del Metabolismo Óseo, Instituto Nacional de Medicina Genómica (INMEGEN), Ciudad de México 14610, Mexico.
| | - Eric G Ramírez-Salazar
- Consejo Nacional de Ciencia y Tecnología (CONACYT)-Laboratorio de Genómica del Metabolismo Óseo, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City 14610, Mexico.
| | - Hugo Villamil-Ramírez
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), Ciudad de México 14610, Mexico.
| | - Manuel Quiterio
- Centro de Investigación en Salud Poblacional, Instituto Nacional de Salud Pública. Cuernavaca, Morelos 62100, Mexico.
| | - Paula Ramírez-Palacios
- Unidad de Investigación Epidemiológica y en Servicios de Salud, Instituto Mexicano del Seguro Social (IMSS), Cuernavaca, Morelos 62000, Mexico.
| | - Sandra Romero-Hidalgo
- Consorcio Genómica Computacional, Instituto Nacional de Medicina Genómica, Ciudad de México 14610, Mexico.
| | | | - Edgar Denova-Gutiérrez
- Centro de Investigación en Nutrición y Salud, Instituto Nacional de Salud Pública, Cuernavaca, Morelos 62100, Mexico.
| | - Yvonne N Flores
- Unidad de Investigación Epidemiológica y en Servicios de Salud, Instituto Mexicano del Seguro Social (IMSS), Cuernavaca, Morelos 62000, Mexico.
- UCLA Department of Health Policy and Management, Fielding School of Public Health and Jonsson Comprehensive Cancer Center, Los Angeles, CA 90001, USA.
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), Ciudad de México 14610, Mexico.
| | - Jorge Salmerón
- Centro de Investigación en Políticas, Población y Salud de la Facultad de Medicina de la Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico.
| | - Rafael Velázquez-Cruz
- Laboratorio de Genómica del Metabolismo Óseo, Instituto Nacional de Medicina Genómica (INMEGEN), Ciudad de México 14610, Mexico.
| |
Collapse
|
6
|
López-Contreras BE, Morán-Ramos S, Villarruel-Vázquez R, Macías-Kauffer L, Villamil-Ramírez H, León-Mimila P, Vega-Badillo J, Sánchez-Muñoz F, Llanos-Moreno LE, Canizalez-Román A, Del Río-Navarro B, Ibarra-González I, Vela-Amieva M, Villarreal-Molina T, Ochoa-Leyva A, Aguilar-Salinas CA, Canizales-Quinteros S. Composition of gut microbiota in obese and normal-weight Mexican school-age children and its association with metabolic traits. Pediatr Obes 2018; 13:381-388. [PMID: 29388394 DOI: 10.1111/ijpo.12262] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Revised: 10/25/2017] [Accepted: 10/31/2017] [Indexed: 12/19/2022]
Abstract
BACKGROUND Childhood obesity is a serious public health problem in Mexico. Adult gut microbiota composition has been linked to obesity, but few studies have addressed the role of gut microbiota in childhood obesity. OBJECTIVES The aim of this study is to compare gut microbiota composition in obese and normal-weight children and to associate gut microbiota profiles with amino acid serum levels and obesity-related metabolic traits. METHODS Microbial taxa relative abundance was determined by 16S rRNA sequencing in 67 normal-weight and 71 obese children aged 6-12 years. Serum amino acid levels were measured by mass spectrometry. Associations between microbiota composition, metabolic parameters and amino acid serum levels were tested. RESULTS No significant differences in phyla abundances or Firmicutes/Bacteroidetes ratios were observed between normal-weight and obese children. However, Bacteroides eggerthii abundance was significantly higher in obese children and correlated positively with body fat percentage and negatively with insoluble fibre intake. Additionally, Bacteroides plebeius and unclassified Christensenellaceae abundances were significantly higher in normal-weight children. Abundance of both these species correlated negatively with phenylalanine serum levels, a metabolite also found to be associated with obesity in Mexican children. CONCLUSIONS The study identified bacterial species associated with obesity, metabolic complications and amino acid serum levels in Mexican children.
Collapse
Affiliation(s)
- B E López-Contreras
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
| | - S Morán-Ramos
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico.,Consejo Nacional de Ciencia y Tecnología (CONACYT), Mexico City, Mexico
| | - R Villarruel-Vázquez
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
| | - L Macías-Kauffer
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
| | - H Villamil-Ramírez
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
| | - P León-Mimila
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
| | - J Vega-Badillo
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
| | - F Sánchez-Muñoz
- Departamento de Inmunología, Instituto Nacional de Cardiología 'Ignacio Chávez', Mexico City, Mexico
| | - L E Llanos-Moreno
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
| | - A Canizalez-Román
- CIASaP, Facultad de Medicina, Universidad Autónoma de Sinaloa, Culiacán, Mexico
| | | | - I Ibarra-González
- Instituto de Investigaciones Biomédicas, UNAM/Instituto Nacional de Pediatría, Mexico City, Mexico.,Laboratorio de Errores Innatos del Metabolismo y Tamiz, Instituto Nacional de Pediatría, Mexico City, Mexico
| | - M Vela-Amieva
- Laboratorio de Errores Innatos del Metabolismo y Tamiz, Instituto Nacional de Pediatría, Mexico City, Mexico
| | - T Villarreal-Molina
- Laboratorio de Genómica de Enfermedades Cardiovasculares, INMEGEN, Mexico City, Mexico
| | - A Ochoa-Leyva
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico.,Departamento de Microbiología Molecular, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Mexico
| | - C A Aguilar-Salinas
- Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición, Mexico City, Mexico
| | - S Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
| |
Collapse
|
7
|
Moran-Ramos S, Ocampo-Medina E, Gutierrez-Aguilar R, Macías-Kauffer L, Villamil-Ramírez H, López-Contreras BE, León-Mimila P, Vega-Badillo J, Gutierrez-Vidal R, Villarruel-Vazquez R, Serrano-Carbajal E, Del-Río-Navarro BE, Huertas-Vázquez A, Villarreal-Molina T, Ibarra-Gonzalez I, Vela-Amieva M, Aguilar-Salinas CA, Canizales-Quinteros S. An Amino Acid Signature Associated with Obesity Predicts 2-Year Risk of Hypertriglyceridemia in School-Age Children. Sci Rep 2017; 7:5607. [PMID: 28717206 PMCID: PMC5514079 DOI: 10.1038/s41598-017-05765-4] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Accepted: 06/02/2017] [Indexed: 01/21/2023] Open
Abstract
Childhood obesity is associated with a number of metabolic abnormalities leading to increased cardiovascular risk. Metabolites can be useful as early biomarkers and new targets to promote early intervention beginning in school age. Thus, we aimed to identify metabolomic profiles associated with obesity and obesity-related metabolic traits. We used data from the Obesity Research Study for Mexican children (ORSMEC) in Mexico City and included a case control (n = 1120), cross-sectional (n = 554) and a longitudinal study (n = 301) of 6-12-year-old children. Forty-two metabolites were measured using electrospray MS/MS and multivariate regression models were used to test associations of metabolomic profiles with anthropometric, clinical and biochemical parameters. Principal component analysis showed a serum amino acid signature composed of arginine, leucine/isoleucine, phenylalanine, tyrosine, valine and proline significantly associated with obesity (OR = 1.57; 95%CI 1.45-1.69, P = 3.84 × 10-31) and serum triglycerides (TG) (β = 0.067, P = 4.5 × 10-21). These associations were validated in the cross-sectional study (P < 0.0001). In the longitudinal cohort, the amino acid signature was associated with serum TG and with the risk of hypertriglyceridemia after 2 years (OR = 1.19; 95%CI 1.03-1.39, P = 0.016). This study shows that an amino acid signature significantly associated with childhood obesity, is an independent risk factor of future hypertriglyceridemia in children.
Collapse
Affiliation(s)
- Sofia Moran-Ramos
- Consejo Nacional de Ciencia y Tecnología (CONACYT), Mexico City, Mexico.
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico.
| | - Elvira Ocampo-Medina
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
| | - Ruth Gutierrez-Aguilar
- Hospital Infantil México Federico Gómez, Mexico City, Mexico
- Facultad de Medicina, UNAM, Mexico City, Mexico
| | - Luis Macías-Kauffer
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
| | - Hugo Villamil-Ramírez
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
| | - Blanca E López-Contreras
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
| | - Paola León-Mimila
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
| | - Joel Vega-Badillo
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
| | - Roxana Gutierrez-Vidal
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
| | - Ricardo Villarruel-Vazquez
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
| | - Erandi Serrano-Carbajal
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico
| | | | | | | | - Isabel Ibarra-Gonzalez
- Instituto de Investigaciones Biomédicas, UNAM - Instituto Nacional de Pediatría, Mexico City, Mexico
- Laboratorio de Errores Innatos del Metabolismo y Tamiz, Instituto Nacional de Pediatría, Mexico City, Mexico
| | - Marcela Vela-Amieva
- Laboratorio de Errores Innatos del Metabolismo y Tamiz, Instituto Nacional de Pediatría, Mexico City, Mexico
| | - Carlos A Aguilar-Salinas
- Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Samuel Canizales-Quinteros
- Unidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM/Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, Mexico.
| |
Collapse
|