Identificación de metabolitos asociados con la diabetes mellitus tipo 1, 2 y gestacional: Una revisión de la literatura.
La diabetes es una conocida enfermedad crónica que afecta a millones de personas alrededor del mundo, esta se caracteriza por la presencia de hiperglucemia. El objetivo de este artículo fue determinar los metabolitos asociados, con la aparición y tratamiento de la diabetes mellitus tipo 1, 2 y gesta...
- Autores:
-
Rueda Arcila, Ana María
Torres Ortiz, Alejandro
- Tipo de recurso:
- Fecha de publicación:
- 2024
- Institución:
- Universidad Libre
- Repositorio:
- RIU - Repositorio Institucional UniLibre
- Idioma:
- OAI Identifier:
- oai:repository.unilibre.edu.co:10901/29262
- Acceso en línea:
- https://hdl.handle.net/10901/29262
- Palabra clave:
- Metabolómica
Diabetes Mellitus
BCAA
Ácidos grasos
Enfermedad crónica
Metabolomics
Diabetes Mellitus
BCAA
Fatty acids
Chronic disease
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/2.5/co/
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dc.title.spa.fl_str_mv |
Identificación de metabolitos asociados con la diabetes mellitus tipo 1, 2 y gestacional: Una revisión de la literatura. |
title |
Identificación de metabolitos asociados con la diabetes mellitus tipo 1, 2 y gestacional: Una revisión de la literatura. |
spellingShingle |
Identificación de metabolitos asociados con la diabetes mellitus tipo 1, 2 y gestacional: Una revisión de la literatura. Metabolómica Diabetes Mellitus BCAA Ácidos grasos Enfermedad crónica Metabolomics Diabetes Mellitus BCAA Fatty acids Chronic disease |
title_short |
Identificación de metabolitos asociados con la diabetes mellitus tipo 1, 2 y gestacional: Una revisión de la literatura. |
title_full |
Identificación de metabolitos asociados con la diabetes mellitus tipo 1, 2 y gestacional: Una revisión de la literatura. |
title_fullStr |
Identificación de metabolitos asociados con la diabetes mellitus tipo 1, 2 y gestacional: Una revisión de la literatura. |
title_full_unstemmed |
Identificación de metabolitos asociados con la diabetes mellitus tipo 1, 2 y gestacional: Una revisión de la literatura. |
title_sort |
Identificación de metabolitos asociados con la diabetes mellitus tipo 1, 2 y gestacional: Una revisión de la literatura. |
dc.creator.fl_str_mv |
Rueda Arcila, Ana María Torres Ortiz, Alejandro |
dc.contributor.advisor.none.fl_str_mv |
Buritica Herrera, Hector Mario |
dc.contributor.author.none.fl_str_mv |
Rueda Arcila, Ana María Torres Ortiz, Alejandro |
dc.subject.spa.fl_str_mv |
Metabolómica Diabetes Mellitus BCAA Ácidos grasos Enfermedad crónica |
topic |
Metabolómica Diabetes Mellitus BCAA Ácidos grasos Enfermedad crónica Metabolomics Diabetes Mellitus BCAA Fatty acids Chronic disease |
dc.subject.subjectenglish.spa.fl_str_mv |
Metabolomics Diabetes Mellitus BCAA Fatty acids Chronic disease |
description |
La diabetes es una conocida enfermedad crónica que afecta a millones de personas alrededor del mundo, esta se caracteriza por la presencia de hiperglucemia. El objetivo de este artículo fue determinar los metabolitos asociados, con la aparición y tratamiento de la diabetes mellitus tipo 1, 2 y gestacional. La información de este estudio se obtuvo de las bases de datos, PubMed, ScienceDirect, Scopus y otras fuentes de búsqueda, como bases de datos de universidades. Los artículos seleccionados se utilizaron para ver la relación que tenían algunos metabolitos del metabolismo de las proteínas, lípidos y carbohidratos con la diabetes mellitus. En total se seleccionaron 30 artículos, que brindaron información sobre la asociación de metabolitos como los BCAA, aminoácidos aromáticos, acilcarnitinas, hexosas, entre otros, con la diabetes tipo 1, 2 y gestacional. Esta revisión sugiere que la combinación de biomarcadores metabólicos, como aminoácidos, azúcares y ácidos grasos, puede proporcionar una visión integral del riesgo, diagnóstico y progresión de la diabetes mellitus. |
publishDate |
2024 |
dc.date.accessioned.none.fl_str_mv |
2024-06-11T13:50:44Z |
dc.date.available.none.fl_str_mv |
2024-06-11T13:50:44Z |
dc.date.created.none.fl_str_mv |
2024-05-31 |
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https://hdl.handle.net/10901/29262 |
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https://hdl.handle.net/10901/29262 |
dc.relation.references.spa.fl_str_mv |
IDF Diabetes Atlas 10th edition [Internet]. Available from: www.diabetesatlas.org Cho NH, Shaw JE, Karuranga S, Huang Y, da Rocha Fernandes JD, Ohlrogge AW, et al. IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045. Diabetes Res Clin Pract. 2018 Apr 1;138:271–81. 4 metabolómica aplicaciones clave en salud y producción de alimentos. Jin Q, Ma RCW. Metabolomics in diabetes and diabetic complications: Insights from epidemiological studies. Vol. 10, Cells. MDPI; 2021. Rinschen MM, Ivanisevic J, Giera M, Siuzdak G. Identification of bioactive metabolites using activity metabolomics. Vol. 20, Nature Reviews Molecular Cell Biology. Nature Publishing Group; 2019. p. 353–67. Zhang M, Yang H. Perspectives from metabolomics in the early diagnosis and prognosis of gestational diabetes mellitus. Vol. 13, Frontiers in Endocrinology. Frontiers Media S.A.; 2022. Kortesniemi M, Noerman S, Kårlund A, Raita J, Meuronen T, Koistinen V, et al. Nutritional metabolomics: Recent developments and future needs. Vol. 77, Current Opinion in Chemical Biology. Elsevier Ltd; 2023. Dunn WB, Ellis DI. Metabolomics: Current analytical platforms and methodologies. TrAC - Trends in Analytical Chemistry. 2005;24(4):285–94. Wishart DS. Metabolomics for Investigating Physiological and Pathophysiological Processes. Physiol Rev [Internet]. 2019;99:1819–75. Available from: www.prv.org Urrútia G, Bonfill1 X. EDITORIAL LA DECLARACIÓN PRISMA: UN PASO ADELANTE EN LA MEJORA DE LAS PUBLICACIONES DE LA REVISTA ESPAÑOLA DE SALUD PÚBLICA [Internet]. Available from: http://www.prisma 2. Classification and diagnosis of diabetes: Standards of medical care in diabetes-2021. Diabetes Care. 2021 Jan 1;44:S15–33. Arneth B, Arneth R, Shams M. Metabolomics of type 1 and type 2 diabetes. Vol. 20, International Journal of Molecular Sciences. MDPI AG; 2019. Chen ZZ, Gerszten RE. Metabolomics and Proteomics in Type 2 Diabetes. Vol. 126, Circulation Research. Lippincott Williams and Wilkins; 2020. p. 1613–27. Morze J, Wittenbecher C, Schwingshackl L, Danielewicz A, Rynkiewicz A, Hu FB, et al. Metabolomics and Type 2 Diabetes Risk: An Updated Systematic Review and Meta-analysis of Prospective Cohort Studies. Diabetes Care. 2022 Apr 1;45(4):1013–24. Wittenbecher C, Guasch-Ferr M, Haslam DE, Dennis C, Li J, Bhupathiraju SN, et al. Changes in metabolomics profiles over ten years and subsequent risk of developing type 2 diabetes: Results from the Nurses’ Health Study. EBioMedicine [Internet]. 2022;75:103799. Available from: https://doi.org/10.1016/j. Long J, Yang Z, Wang L, Han Y, Peng C, Yan C, et al. Metabolite biomarkers of type 2 diabetes mellitus and pre-diabetes: a systematic review and meta-analysis. BMC Endocr Disord. 2020 Dec 1;20(1). Jung Y, Ahn E, Park T, Hwang GS. Longitudinal study investigating serum metabolites and their association with type 2 diabetes risk in a Korean population. Diabetes Obes Metab. 2023 Aug 1;25(8):2120–30. Karagiannidis E, Moysidis D V., Papazoglou AS, Panteris E, Deda O, Stalikas N, et al. Prognostic significance of metabolomic biomarkers in patients with diabetes mellitus and coronary artery disease. Cardiovasc Diabetol. 2022 Dec 1;21(1). Domínguez-López I, Lozano-Castellón J, Vallverdú-Queralt A, Jáuregui O, Martínez-González MÁ, Hu FB, et al. Urinary metabolomics of phenolic compounds reveals biomarkers of type-2 diabetes within the PREDIMED trial. Biomedicine and Pharmacotherapy. 2023 Jun 1;162. Teruya T, Sunagawa S, Mori A, Masuzaki H, Yanagida M. Markers for obese and non-obese Type 2 diabetes identified using whole blood metabolomics. Sci Rep. 2023 Dec 1;13(1). Mao X, Chen X, Chen C, Zhang H, Law KP. Metabolomics in gestational diabetes. Vol. 475, Clinica Chimica Acta. Elsevier B.V.; 2017. p. 116–27. Razo-Azamar M, Nambo-Venegas R, Meraz-Cruz N, Guevara-Cruz M, Ibarra-González I, Vela-Amieva M, et al. An early prediction model for gestational diabetes mellitus based on metabolomic biomarkers. Diabetol Metab Syndr. 2023 Dec 1;15(1). Heath H, Rosario R, McMichael LE, Fanter R, Alarcon N, Quintana-Diaz A, et al. Gestational Diabetes Is Characterized by Decreased Medium-Chain Acylcarnitines and Elevated Purine Degradation Metabolites across Pregnancy: A Case-Control Time-Course Analysis. J Proteome Res. 2023 Jun 2;22(6):1603–13. Meek CL, Stewart ZA, Feig DS, Furse S, Neoh SL, Koulman A, et al. Metabolomic insights into maternal and neonatal complications in pregnancies affected by type 1 diabetes. Diabetologia. 2023 Nov 1; Heath H, Degreef K, Rosario R, Smith MK, Mitchell I, Pilolla K, et al. Identification of potential biomarkers and metabolic insights for gestational diabetes prevention: A review of evidence contrasting gestational diabetes versus weight loss studies that may direct future nutritional metabolomics studies. Vol. 107, Nutrition. Elsevier Inc.; 2023. Rani Agarwal N, Kachhawa G, Oyeyemi BF, Bhavesh NS. Metabolic profiling of serum and urine in preeclampsia and gestational diabetes in early pregnancy. Med Drug Discov. 2022 Dec 1;16. Mokkala K, Vahlberg T, Pellonperä O, Houttu N, Koivuniemi E, Laitinen K. Distinct Metabolic Profile in Early Pregnancy of Overweight and Obese Women Developing Gestational Diabetes. Journal of Nutrition. 2020 Jan 1;150(1):31–7. Zhou CD, Seah RL, Papatheodorou SI. The role of biomarker ykl-40 in risk stratification and diagnosis of gestational diabetes mellitus: A systematic review and meta-analysis. Vol. 3, Endocrine and Metabolic Science. Elsevier Ltd; 2021. Mcarthur KL, Zhang M, Hong X, Wang G, Buckley JP, Wang X, et al. O R I G I N A L R E S E A R C H Trimethylamine N-Oxide and Its Precursors Are Associated with Gestational Diabetes Mellitus and Pre-Eclampsia in the Boston Birth Cohort [Internet]. Available from: https://academic.oup.com/cdn/. Huhtala MS, Rönnemaa T, Paavilainen E, Niinikoski H, Pellonperä O, Juhila J, et al. Prediction of pre-diabetes and type 2 diabetes nine years postpartum using serum metabolome in pregnant women with gestational diabetes requiring pharmacological treatment. J Diabetes Complications. 2023 Jul 1;37(7). |
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Buritica Herrera, Hector MarioRueda Arcila, Ana MaríaTorres Ortiz, AlejandroPereira2024-06-11T13:50:44Z2024-06-11T13:50:44Z2024-05-31https://hdl.handle.net/10901/29262La diabetes es una conocida enfermedad crónica que afecta a millones de personas alrededor del mundo, esta se caracteriza por la presencia de hiperglucemia. El objetivo de este artículo fue determinar los metabolitos asociados, con la aparición y tratamiento de la diabetes mellitus tipo 1, 2 y gestacional. La información de este estudio se obtuvo de las bases de datos, PubMed, ScienceDirect, Scopus y otras fuentes de búsqueda, como bases de datos de universidades. Los artículos seleccionados se utilizaron para ver la relación que tenían algunos metabolitos del metabolismo de las proteínas, lípidos y carbohidratos con la diabetes mellitus. En total se seleccionaron 30 artículos, que brindaron información sobre la asociación de metabolitos como los BCAA, aminoácidos aromáticos, acilcarnitinas, hexosas, entre otros, con la diabetes tipo 1, 2 y gestacional. Esta revisión sugiere que la combinación de biomarcadores metabólicos, como aminoácidos, azúcares y ácidos grasos, puede proporcionar una visión integral del riesgo, diagnóstico y progresión de la diabetes mellitus.Universidad Libre Seccional Pereira -- Facultad de Ciencias de la Salud, Exactas y Naturales -- Nutrición y DietéticaDiabetes is a well-known chronic disease that affects millions of people around the world; it is characterized by the presence of hyperglycemia. The objective of this article was to determine the metabolites associated with the onset and treatment of type 1, 2 and gestational diabetes mellitus. The information for this study was obtained from databases, PubMed, ScienceDirect, Scopus and other search sources, such as university databases. The selected articles were used to see the relationship that some metabolites of protein, lipid and carbohydrate metabolism had with diabetes mellitus. In total, 30 articles were selected, which provided information on the association of metabolites such as BCAAs, aromatic amino acids, acylcarnitines, hexoses, among others, with type 1, 2 and gestational diabetes. This review suggests that the combination of metabolic biomarkers, such as amino acids, sugars and fatty acids, can provide a comprehensive view of the risk, diagnosis and progression of diabetes mellitus.PDFhttp://creativecommons.org/licenses/by-nc-nd/2.5/co/Atribución-NoComercial-SinDerivadas 2.5 Colombiainfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2MetabolómicaDiabetes MellitusBCAAÁcidos grasosEnfermedad crónicaMetabolomicsDiabetes MellitusBCAAFatty acidsChronic diseaseIdentificación de metabolitos asociados con la diabetes mellitus tipo 1, 2 y gestacional: Una revisión de la literatura.Tesis de Pregradoinfo:eu-repo/semantics/bachelorThesishttp://purl.org/coar/resource_type/c_7a1fIDF Diabetes Atlas 10th edition [Internet]. Available from: www.diabetesatlas.orgCho NH, Shaw JE, Karuranga S, Huang Y, da Rocha Fernandes JD, Ohlrogge AW, et al. IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045. Diabetes Res Clin Pract. 2018 Apr 1;138:271–81.4 metabolómica aplicaciones clave en salud y producción de alimentos.Jin Q, Ma RCW. Metabolomics in diabetes and diabetic complications: Insights from epidemiological studies. Vol. 10, Cells. MDPI; 2021.Rinschen MM, Ivanisevic J, Giera M, Siuzdak G. Identification of bioactive metabolites using activity metabolomics. Vol. 20, Nature Reviews Molecular Cell Biology. Nature Publishing Group; 2019. p. 353–67.Zhang M, Yang H. Perspectives from metabolomics in the early diagnosis and prognosis of gestational diabetes mellitus. Vol. 13, Frontiers in Endocrinology. Frontiers Media S.A.; 2022.Kortesniemi M, Noerman S, Kårlund A, Raita J, Meuronen T, Koistinen V, et al. Nutritional metabolomics: Recent developments and future needs. Vol. 77, Current Opinion in Chemical Biology. Elsevier Ltd; 2023.Dunn WB, Ellis DI. Metabolomics: Current analytical platforms and methodologies. TrAC - Trends in Analytical Chemistry. 2005;24(4):285–94.Wishart DS. Metabolomics for Investigating Physiological and Pathophysiological Processes. Physiol Rev [Internet]. 2019;99:1819–75. Available from: www.prv.orgUrrútia G, Bonfill1 X. EDITORIAL LA DECLARACIÓN PRISMA: UN PASO ADELANTE EN LA MEJORA DE LAS PUBLICACIONES DE LA REVISTA ESPAÑOLA DE SALUD PÚBLICA [Internet]. Available from: http://www.prisma2. Classification and diagnosis of diabetes: Standards of medical care in diabetes-2021. Diabetes Care. 2021 Jan 1;44:S15–33.Arneth B, Arneth R, Shams M. Metabolomics of type 1 and type 2 diabetes. Vol. 20, International Journal of Molecular Sciences. MDPI AG; 2019.Chen ZZ, Gerszten RE. Metabolomics and Proteomics in Type 2 Diabetes. Vol. 126, Circulation Research. Lippincott Williams and Wilkins; 2020. p. 1613–27.Morze J, Wittenbecher C, Schwingshackl L, Danielewicz A, Rynkiewicz A, Hu FB, et al. Metabolomics and Type 2 Diabetes Risk: An Updated Systematic Review and Meta-analysis of Prospective Cohort Studies. Diabetes Care. 2022 Apr 1;45(4):1013–24.Wittenbecher C, Guasch-Ferr M, Haslam DE, Dennis C, Li J, Bhupathiraju SN, et al. Changes in metabolomics profiles over ten years and subsequent risk of developing type 2 diabetes: Results from the Nurses’ Health Study. EBioMedicine [Internet]. 2022;75:103799. Available from: https://doi.org/10.1016/j.Long J, Yang Z, Wang L, Han Y, Peng C, Yan C, et al. Metabolite biomarkers of type 2 diabetes mellitus and pre-diabetes: a systematic review and meta-analysis. BMC Endocr Disord. 2020 Dec 1;20(1).Jung Y, Ahn E, Park T, Hwang GS. Longitudinal study investigating serum metabolites and their association with type 2 diabetes risk in a Korean population. Diabetes Obes Metab. 2023 Aug 1;25(8):2120–30.Karagiannidis E, Moysidis D V., Papazoglou AS, Panteris E, Deda O, Stalikas N, et al. Prognostic significance of metabolomic biomarkers in patients with diabetes mellitus and coronary artery disease. Cardiovasc Diabetol. 2022 Dec 1;21(1).Domínguez-López I, Lozano-Castellón J, Vallverdú-Queralt A, Jáuregui O, Martínez-González MÁ, Hu FB, et al. Urinary metabolomics of phenolic compounds reveals biomarkers of type-2 diabetes within the PREDIMED trial. Biomedicine and Pharmacotherapy. 2023 Jun 1;162.Teruya T, Sunagawa S, Mori A, Masuzaki H, Yanagida M. Markers for obese and non-obese Type 2 diabetes identified using whole blood metabolomics. Sci Rep. 2023 Dec 1;13(1).Mao X, Chen X, Chen C, Zhang H, Law KP. Metabolomics in gestational diabetes. Vol. 475, Clinica Chimica Acta. Elsevier B.V.; 2017. p. 116–27.Razo-Azamar M, Nambo-Venegas R, Meraz-Cruz N, Guevara-Cruz M, Ibarra-González I, Vela-Amieva M, et al. An early prediction model for gestational diabetes mellitus based on metabolomic biomarkers. Diabetol Metab Syndr. 2023 Dec 1;15(1).Heath H, Rosario R, McMichael LE, Fanter R, Alarcon N, Quintana-Diaz A, et al. Gestational Diabetes Is Characterized by Decreased Medium-Chain Acylcarnitines and Elevated Purine Degradation Metabolites across Pregnancy: A Case-Control Time-Course Analysis. J Proteome Res. 2023 Jun 2;22(6):1603–13.Meek CL, Stewart ZA, Feig DS, Furse S, Neoh SL, Koulman A, et al. Metabolomic insights into maternal and neonatal complications in pregnancies affected by type 1 diabetes. Diabetologia. 2023 Nov 1;Heath H, Degreef K, Rosario R, Smith MK, Mitchell I, Pilolla K, et al. Identification of potential biomarkers and metabolic insights for gestational diabetes prevention: A review of evidence contrasting gestational diabetes versus weight loss studies that may direct future nutritional metabolomics studies. Vol. 107, Nutrition. Elsevier Inc.; 2023.Rani Agarwal N, Kachhawa G, Oyeyemi BF, Bhavesh NS. Metabolic profiling of serum and urine in preeclampsia and gestational diabetes in early pregnancy. Med Drug Discov. 2022 Dec 1;16.Mokkala K, Vahlberg T, Pellonperä O, Houttu N, Koivuniemi E, Laitinen K. Distinct Metabolic Profile in Early Pregnancy of Overweight and Obese Women Developing Gestational Diabetes. Journal of Nutrition. 2020 Jan 1;150(1):31–7.Zhou CD, Seah RL, Papatheodorou SI. The role of biomarker ykl-40 in risk stratification and diagnosis of gestational diabetes mellitus: A systematic review and meta-analysis. Vol. 3, Endocrine and Metabolic Science. Elsevier Ltd; 2021.Mcarthur KL, Zhang M, Hong X, Wang G, Buckley JP, Wang X, et al. O R I G I N A L R E S E A R C H Trimethylamine N-Oxide and Its Precursors Are Associated with Gestational Diabetes Mellitus and Pre-Eclampsia in the Boston Birth Cohort [Internet]. Available from: https://academic.oup.com/cdn/.Huhtala MS, Rönnemaa T, Paavilainen E, Niinikoski H, Pellonperä O, Juhila J, et al. Prediction of pre-diabetes and type 2 diabetes nine years postpartum using serum metabolome in pregnant women with gestational diabetes requiring pharmacological treatment. 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