Análisis genealógico de diabetes tipo 2 en familias extensas multigeneracionales de una comunidad yucateca

Doris del Carmen Pinto-Escalante, Lorena Ruiz-García, María Guadalupe García-Escalante, Nina Valadez-González, Rodrigo Rubi-Castellanos, Ligia Vera-Gamboa, Norma Pavía-Ruz, Lizbeth González-Herrera, Lucila Polanco-Reyes, Guillermo Valencia-Pacheco, Yumi Elena Nakazawa-Ueji

Resumen

Introducción. La diabetes tipo 2 (DT2) afectó a 537 millones de adultos (20-79 años) en 2021, con tendencia a incremento, destacándose la menor edad de inicio. Los casos familiares son frecuentes, incrementan el riesgo de desarrollar la patología en las personas sanas en quienes es factible la intervención para minimizar riesgos. La genealogía es una herramienta para determinar la susceptibilidad genética y otras variables que contribuyen a determinar el nivel de riesgo.

Objetivo. Analizar el comportamiento de la DT2 en familias extensas multigeneracionales de una comunidad de Yucatán.

Material y métodos. Se realizaron entrevistas para identificación de afectados con DT2 en la comunidad de Sisal, Yucatán. Se construyeron genealogías y analizó el número de afectados, su distribución por sexo, la rama parental de transmisión, grado de parentesco y edad de diagnóstico. Se estratificó el riesgo de personas sanas para desarrollar DT2 con base en sus ancestros.

Resultados. Se identificaron 24 familias extensas, 769 individuos con proporción similar de hombres/mujeres, en 3-5 generaciones y 3-25 afectados con DT2 (32.4%). Predominaron las mujeres en número de afectados (en fallecidos 61.3%, en vivos 58%), alto número con edad de inicio temprano (<45 años, 48.9%) y tener progenitor afectado (75%). Ambos progenitores afectados representaron el 20.8%. Prevaleció la ascendencia materna (70.8%) entre los afectados. 71.6% de personas sanas presentaron riesgo alto para desarrollar DT2.

Conclusiones. Las genealogías permitieron identificar el predominio de mujeres entre los factores de riesgo y la rama materna entre afectados, así como un riesgo alto para DT2 entre sanos.

Texto completo:

PDF EPUB HTML

Referencias

Mambiya M, Shang M, Wang Y, Li Q, Liu S, Yang L, et al. The Play of Genes and Non-genetic Factors on Type 2 Diabetes. Front. Public Health 2019;7:349. https://doi.org/10.3389/fpubh.2019.00349

International Diabetes Federation. IDF Diabetes Atlas, 10th ed. Brussels, Belgium: 2021. Disponible en: https://diabetesatlas.org/atlas/tenth-edition/

Shamah-Levy T, Vielma-Orozco E, Heredia-Hernández O, Romero-Martínez M, Mojica-Cuevas J, Cuevas-Nasu L, Santaella-Castell JA, Rivera-Dommarco J. Encuesta Nacional de Salud y Nutrición 2018-19: Resultados Nacionales. Cuernavaca, México: Instituto Nacional de Salud Pública, 2020. https://ensanut.insp.mx/encuestas/ensanut2018/doctos/informes/ensanut_2018_informe_final.pdf

INEGI. Estadísticas a propósito del día mundial de la diabetes. Comunicado de prensa núm. 657/22 10 de noviembre de 2022 páginas 1-6. https://www.inegi.org.mx/contenidos/saladeprensa/aproposito/2021/EAP_Diabetes2021.pdf

Rojas-Martínez R, Basto-Abreu A, Aguilar-Salinas CA, Zárate-Rojas E, Villalpando S, Barrientos-Gutiérrez T. Prevalencia de diabetes por diagnóstico médico previo en México. Salud Pública Mex 2018;60:224-32. https://doi.org/10.21149/8566

Barquera S, Hernández-Barrera L, Trejo B, Shamah T, Campos-Nonato I, Rivera-Dommarco J. Obesidad en México, prevalencia y tendencias en adultos. Ensanut 2018-19. Salud Pública Mex. 2020;62:682-92. DOI: https://doi.org/10.21149/11630

Panat AV, Kulkarni DA, Ghooi RB. Population based family history analysis of Brahmins in a small town in India for the prevalence of type-2 diabetes mellitus. Indian J Hum Genet 2013;19:342-5. doi: 10.4103/0971-6866.120826

Aravinda J. Risk factors in patients with type 2 diabetes in Bengaluru: A retrospective study. World J Diabetes 2019; 10(4): 241-8. DOI: https://dx.doi.org/10.4239/wjd.v10.i4.241

Meiloud G, Arfa I, Kefi R, Abdelhamid I, Veten F, Lasram K, et al. Type 2 diabetes in Mauritania: prevalence of the undiagnosed diabetes, influence of family history and maternal effect. Prim care diabetes 2013;7(1):19-24. doi:10.1016/j.pcd.2012.12.002

Syamsurizal S, Halifah S, Badriyya E. Pedigree Analysis of Diabetes Mellitus in Minangkabau Ethnic. Tropical Genetics 2021;1(2):61-67. https://garuda.kemdikbud.go.id/documents/detail/2633349

Lascar N, Brown J, Pattison H, Barnett AH, Bailey CJ, Bellary S. Type 2 diabetes in adolescents and young adults. Lancet Diabetes Endocrinol 2018;6(1):69-80. https://doi.org/10.1016/S2213-8587(17)30186-9

Noh JW, Jung JH, Park JE, Lee JH, Sim KH, Park J, et al. The relationship between age of onset and risk factors including family history and life style in Korean population with type 2 diabetes mellitus. J Phys Ther Sci 2018;30(2):201-6. DOI: 10.1589/jpts.30.201

Rosado- Guillermo CA, Álvarez Nemegyei J, González Rojas A. Influencia de la herencia maya sobre el riesgo de diabetes mellitus tipo 2. Rev Endocrinol Nutr. 2001;9(3):122-5. https://www.medigraphic.com/cgi-bin/new/resumen.cgi?IDARTICULO=8045

Rubi-Castellanos, R., Martínez-Cortés, G., Francisco Muñoz-Valle, J., González-Martín, A., Cerda-Flores, R.M., Anaya-Palafox, M. and Rangel-Villalobos, H., Pre-Hispanic Mesoamerican demography approximates the present-day ancestry of Mestizos throughout the territory of Mexico. Am J Phys Anthropol, 2009;139:284-294. https://doi.org/10.1002/ajpa.20980

Silva-Zolezzi I, Hidalgo-Miranda A, Estrada-Gil J, Fernandez-Lopez JC, Uribe-Figueroa L, Contreras A, et al. Analysis of genomic diversity in Mexican Mestizo populations to develop genomic medicine in Mexico. Proc Natl Acad Sci U S A 2009; 106(21):8611-6. doi: 10.1073/pnas.0903045106.

Moreno-Estrada A, Gignoux CR, Fernández-López JC, Zakharia F, Sikora M, Contreras AV, et al. Human genetics. The genetics of Mexico recapitulates Native American substructure and affects biomedical traits. Science 2014; 13;344(6189):1280-5. doi: 10.1126/science.1251688.

Lara-Riegos JC, Ortiz-López MG, Peña-Espinoza BI, Montúfar-Robles I, Peña-Rico MA, Sánchez-Pozos K, et al. Diabetes susceptibility in Mayas: Evidence for the involvement of polymorphisms in HHEX, HNF4α,KCNJ11, PPARγ, CDKN2A/2B, SLC30A8, CDC123/CAMK1D, TCF7L2, ABCA1 and SLC16A11 genes. Gene 2015;565(1):68-75. https://doi.org/10.1016/j.gene.2015.03.065

Lara-Riegos J, Azcorra PH. Diabesidad en los mayas yucatecos. Genes, metabolismo y ambiente sociocultural. Rev Biomed 2022;33(2):57-9. https://doi.org/10.32776/revbiomed.v33i2.1028

Loria A, Arroyo P, Fernandez V, Pardio J, Laviada H. Prevalence of obesity and diabetes in the socioeconomic transition of rural Mayas of Yucatan from 1962 to 2000. Ethn Health 2020;25:679-85. doi: 10.1080/13557858.2018.1442560

Buichia-Sombra FG, Dórame-López NA, Miranda-Félix PE, Castro-Juárez AA, Esparza-Romero J. Prevalencia y factores asociados a diabetes mellitus tipo 2 en población indígena de México: revisión sistemática. Rev Med Inst Mex Seguro Soc. 2020;58(3):317-327. DOI: https://doi.org/10.24875/RMIMSS.M20000036

Domínguez-Cruz MG, Muñoz ML, Totomoch-Serra A, García Escalante MG, Valadez-González N, Pinto-Escalante D, et al. Distribution of six polymorphisms in two communities with a historical high incidence for Diabetes and Obesity in Yucatan, Mexico. BJMMR 2016;17:1-12. DOI: 10.9734/BJMMR/2016/28660.

Bennett RL, French KS, Resta RG, Doyle DL. Standardized human pedigree nomenclature: update and assessment of the recommendations of the National Society of Genetic Counselors. J Genet Couns. 2008;17(5):424-33. DOI 10.1007/s10897-008-9169-9

Scheuner MT, Wang SJ, Raffel LJ, Larabell SK, Rotter JI. Family history: A comprehensive genetic risk assessment method for the chronic conditions of adulthood. Am J Med Genet 1997;71:315.24. https://doi.org/10.1002/(SICI)1096-8628(19970822)71:3<315:AID-AJMG12>3.0.CO;2-N

Wu RR, Myers RA, Hauser ER, Vorderstrasse A, Cho A, Ginsburg GS, et al. Impact of genetic testing and family health history based risk counseling on behavior change and cognitive precursors for type 2 diabetes. J Genet Counsel 2017; 26:133-140. DOI 10.1007/s10897-016-9988-z

Aguilar-Salinas CA, Reyes-Rodríguez E, Ordóñez-Sánchez ML, Torres MA, Ramírez-Jiménez S, Domínguez-López A, et al. Early-onset type 2 diabetes: Metabolic and Genetic Characterization in the Mexican Population. J Clin Endocrinol Metab. 2001;86(1):220-6. https://doi.org/10.1210/jcem.86.1.7134

Moon JH, Roh E, Oh TJ, Kim KM, Moon JH, Lim S, et al. Increased risk of metabolic disorders in healthy young adults with family history of diabetes: from the Korea National Health and Nutrition Survey. Diabetol Metab Syndr 2017;9:1-9. DOI 10.1186/s13098-017-0210-8

Arfa I, Abid A, Malouche D, et al. Familial aggregation and excess maternal transmission of type 2 diabetes in Tunisia. Postgr Med J. 2007;83(979):348–51. doi: 10.1136/pgmj.2006.053744

Bener A, Yousafzai MT, Al-hamaq AO. Familial aggregation of T2DM among Arab diabetic population. Int J Diabetes Dev Ctries 2012;32:90–92. https://doi.org/10.1007/s13410-012-0071-5

Benrahma H, Arfa I, Charif M, et al. Maternal effect and familial aggregation in a type 2 diabetic moroccan population. J Community Health. 2011;36(6):943–8. https://doi.org/10.1007/s10900-011-9393-3

Muktabhant B, Sanchaisuriya P, Trakulwong M, Mingchai R, Schelp FP. A first-degree relative with diabetes mellitus is an important risk factor for rural Thai villagers to develop type 2 diabetes mellitus. Asia Pac J Salud Pública 2015;27(4):385-93. https://doi.org/10.1177%2F1010539514555861

Zhang Y, Chen H, Lu H, Shen Y, Chen R, Fang P, et al. Prevalence and risk of diabetes based on family history in the Shanghai High-Risk Diabetic Screen (SH i DS) study. Diabet Medicine 2016;33(12):1705-11. https://doi.org/10.1111/dme.13013

Wang C, Yatsuya H, Tamakoshi K, Toyoshima H, Wada K, Li Y, et al. Association between parental history of diabetes and the incidence of type 2 diabetes mellitus differs according to the sex of the parent and offspring’s body weight: A finding from a Japanese worksite-based cohort study. Preventive Medicine 2015;81:49-53. https://doi.org/10.1016/j.ypmed.2015.07.021

Bo A, Thomsen RW, Nielsen JS, Nicolaisen SK, Beck-Nielsen H, Rungby J, et al. Early-onset type 2 diabetes: Age gradient in clinical and behavioural risk factors in 5115 persons with newly diagnosed type 2 diabetes-Results from the DD2 study. Diabetes Metab Res Rev. 2018;34(3): e2968. doi: 10.1002/dmrr.2968

Lerman-Garber I, Aguilar-Salinas C, Tusié-Luna T, Velásquez D, Lobato-Valverde M, Osornio-Flores M, et al. Diabetes tipo 2 de inicio temprano. Experiencia en una institución de tercer nivel de atención médica. Gac Med Mex 2010;146(3):179-84. https://www.medigraphic.com/cgi-bin/new/resumen.cgi?IDARTICULO=26760

Aguilar-Salinas CA, Rojas R, Gomez-Perez FJ, Garcia E, Valles V, Ri@os-Torres JM, Franco A, Olaiz G, Sepulveda J, Rull JA. Prevalence and characteristics of early-onset type 2 diabetes in Mexico. Am J Med 2002;113:569-74. https://doi.org/10.1016/S0002-9343(02)01314-1

Dávila-Cervantes CA, Agudelo-Botero M. Sex disparities in the epidemic of type 2 diabetes in Mexico: national and state level results based on the Global Burden of Disease Study, 1990–2017. Diabetes Metab Syndr Obes 2019;12:1023–33. doi:10.2147/DMSO.S205198

Seiglie JA, Franco RR, Wirtz VJ, Meigs JB, Mendoza MA, Miranda JJ, et al. Regional and state-level patterns of type 2 diabetes prevalence in Mexico over the last three decades. Diabetes Research and Clinical Practice 2021;177:108927. doi:10.1016/j.diabres.2021.108927

Kim KS, Oh HJ, Kim JW, Lee YK, Kim SK, Park SW, et al. The clinical characteristics of the newly diagnosed early onset (< 40 years old) diabetes in outpatients' clinic. Korean Diabetes J 2010;34:119-25. doi:10.4093/kdj.2010.34.2.119

Lascar N, Altaf Q A, Raymond NT, Broen J, Pattison H, Barnett A,et al. Phenotypic characteristics and risk factors in a multi-ethnic cohort of young adults with type 2 diabetes. Curr Med Res Opin 2019;35(11):1893-900. https://doi.org/10.1016/S2213-8587(17)30186-9

Noh JW, Jung JH, Park JE, Lee JH, Sim KH, Park J, et al. The relationship between age of onset and risk factors including family history and life style in Korean population with type 2 diabetes mellitus. J Phys Ther Sci 2018;30(2):201-6. DOI: 10.1589/jpts.30.201

Mills JL, Irving RR, Choo-Kang EG, et al. Multigenerational inheritance and clinical characteristics of three pedigrees with early-onset type 2 diabetes in Jamaica. Rev Panam Salud Publica. 2010;27(6):435-41. https://www.scielosp.org/article/ssm/content/raw/?resource_ssm_path=/media/assets/rpsp/v27n6/04.pdf

Leal U, Espinoza M, Palencia A, Fernández Y, Nicita G, Coccione S et al. Intervención educativa en pacientes con estimación de riesgo de Diabetes mellitus tipo 2. Salus 2017;21(1):16-21. http://ve.scielo.org/pdf/s/v21n1/art04.pdf

Daack‐Hirsch S, Shah LL, Jones K, Rocha B, Doerr M, Gabitzsch E, et al. All things considered, my risk for diabetes is medium: A risk personalization process of familial risk for type 2 diabetes. Health Expect. 2020;23:169–81. https ://doi.org/10.1111/ hex.12986

Hariri, S., Yoon, P., Qureshi, N. et al. Family history of type 2 diabetes: A population-based screening tool for prevention?. Genet Med 2003;8:102–8. https://doi.org/10.1097/01.gim.0000200949.52795.df

Moonesinghe R, Beckles GLA, Liu T, Khoury MJ. The Contribution of Family History to the Burden of Diagnosed Diabetes, Undiagnosed Diabetes and Prediabetes in the United States: Analysis of National Health and Nutrition Examination Survey, 2009-2014. Genet Med. 2018:20(10):1159–66. doi:10.1038/gim.2017.238.

Hasbullah FY, Fong KY, Ismail A, Mitri J, Mohd Yusof BN. A comparison of nutritional status, knowledge and type 2 diabetes risk among Malaysian young adults with and without family history of diabetes. Malays J Med Sci. 2021;28(1):75–86. https://doi.org/10.21315/mjms2021.28.1.10

Ramírez-Giron N, Gallegos-Cabriales E, Benavides-Torres R.Historia familiar y riesgo de Diabetes Tipo 2: Revisión Sistemática. CMS 2021;4:20-40. http://rd.buap.mx/ojs-dm/index.php/cmsj/article/view/654

Enlaces refback

  • No hay ningún enlace refback.