dc.contributor.advisor | Acosta Ampudia, Yeny | |
dc.contributor.advisor | Navarrete Ospina, Jeannette | |
dc.contributor.author | Moreno Rubiano, Laura Alejandra | |
dc.contributor.author | Sierra Hernández, Olga Lucía | |
dc.date.accessioned | 2022-09-27T19:58:37Z | |
dc.date.available | 2022-09-27T19:58:37Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | https://repositorio.unicolmayor.edu.co/handle/unicolmayor/5673 | |
dc.description.abstract | Las enfermedades autoinmunes son patologías que representan un problema de salud pública por el deterioro de la calidad de vida de las personas que las padecen. Estas enfermedades se definen como la respuesta anormal del sistema inmunológico a moléculas propias o autoantígenos específicos llevando a daño en tejidos; su desarrollo es multifactorial, por lo que en su estudio es imprescindible tener en cuenta los factores ambientales, genéticos, entre otros. La metabolómica es la ciencia ómica que estudia metabolitos, por medio de esta se pueden estudiar eventos biológicos y así determinar alteraciones relevantes en procesos de enfermedades. Es así que el objetivo de esta investigación es abordar desde la perspectiva de la metabolómica los cambios que se pueden encontrar en perfiles metabolómicos entre pacientes con Esclerosis Sistémica y Síndrome de Sjögren. De esta forma se encuentra que hay metabolitos a destacar en estas enfermedades como los ácidos grasos y metabolitos derivados de aminoácidos entre ellos el triptófano los cuales pueden intervenir en su patología. Este estudio proporciona información relevante para futuras investigaciones, lo que supondría un apoyo en la búsqueda futura de nuevos metabolitos que puedan contribuir en el desarrollo de las enfermedades tratadas en este trabajo | spa |
dc.description.tableofcontents | Tabla de contenido Resumen 8 Introducción 9 1. Antecedentes 11 2. Marco Teórico 13 2.1 Autoinmunidad y ecología autoinmune 13 2.2 Metabolómica 18 2.2.1 Técnicas utilizadas en metabolómica 19 2.2.2 Análisis bioestadístico de datos 22 2.3 Esclerosis Sistémica y Síndrome de Sjogren 24 2.3.1 Esclerosis Sistémica 24 2.3.2 Síndrome de Sjogren 26 3. Diseño Metodológico 28 3.1. Universo, población, muestra 28 3.2. Hipótesis, variables, indicadores 28 3.3. Operacionalización de las variables 29 3.4. Técnicas y procedimientos 30 4. Resultados 31 4.1 Metabolitos encontrados en Esclerosis Sistémica y Síndrome de Sjogren 32 4.2 Rutas metabólicas alteradas en Esclerosis Sistémica y Síndrome de Sjogren 34 5. Discusión 38 5.1 Metabolómica de Esclerosis Sistémica 38 5.2 Metabolomica de Síndrome de Sjogren 40 5.3 Metabolómica de Esclerosis Sistémica y Síndrome de Sjogren 43 6. Conclusiones 43 7. Perspectivas 44 8. Referencias Bibliográficas 45 9. Anexos 54 | eng |
dc.format.extent | 63p. | spa |
dc.format.mimetype | application/pdf | spa |
dc.language.iso | spa | spa |
dc.rights | Derechos Reservados - Universidad Colegio Mayor de Cundinamarca, 2022 | spa |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-sa/4.0/ | spa |
dc.title | Perfil metabolómico diferencial en suero de pacientes con Esclerosis Sistémica y Síndrome de Sjögren | eng |
dc.type | Trabajo de grado - Pregrado | spa |
dc.description.degreelevel | Pregrado | spa |
dc.description.degreename | Bacteriólogo(a) y Laboratorista Clínico | spa |
dc.publisher.faculty | Facultad de Ciencias de la Salud | spa |
dc.publisher.place | Bogotá D.C | spa |
dc.publisher.program | Bacteriología y Laboratorio Clínico | spa |
dc.relation.references | Inforeuma. Esclerosis Sistémica: Qué es, Síntomas, diagnóstico y tratamiento. [Internet]. [Citado 2021 Ago 14]. Disponible en: https://inforeuma.com/enfermedades-reumaticas/esclerosis-sistemica/ | spa |
dc.relation.references | Clínic Barcelona. Síndrome de Sjögren. [Internet]. [Citado 2021 Ago 16]. Disponible en: https://www.clinicbarcelona.org/asistencia/enfermedades/sindrome-de-sjogren /evolucion-de-la-enfermedad | spa |
dc.relation.references | Anaya J, Santana C, Alzate M, González N, Villarraga A. The Autoimmune Ecology. Microbial Immunology. [Internet]. 2016; 26. [Cited 2022 mar 26]. Available in: https://www.frontiersin.org/articles/10.3389/fimmu.2016.00139/full | spa |
dc.relation.references | Anaya J, Jiménez P, Ramírez C. The autoimmune ecology: an update. Curr Opin Rheumatol. [Internet]. 2018 Jul;30(4):350-360. [Cited 2022 mar 26]. Available in: https://pubmed.ncbi.nlm.nih.gov/29438164/ | spa |
dc.relation.references | Zhang Q, Yin X, Wang H, Wu X, Li X, Li Y, et al. Fecal Metabolomics and Potential Biomarkers for Systemic Lupus Erythematosus. Inmunol Frontal. [Internet] 2019; 10:976. [Cited 2022 mar 19]. Available in: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6509220/ | spa |
dc.relation.references | Mendoza C, Garcia M, Mendez S, Munguia P, Etchegaray I, Diaz G, et al. Metabolomic profile of insulin resistance in non-diabetic women with systemic lupus erythematosus. Scielo. [Internet]. 2021; 157. [Cited 2022 mar 26]. Available in: http://www.scielo.org.mx/scielo.php?pid=S0016-38132021000600613&script= sci_arttext) | spa |
dc.relation.references | Kalantari S, Chashmniam S, Nafar M, Zakeri Z, Parvin M. Metabolomics approach reveals urine biomarkers and pathways associated with the pathogenesis of lupus nephritis. Metabolomics approach reveals urine biomarkers and pathways associated with the pathogenesis of lupus nephritis. Iran J Basic Med Sci. [Internet]. 2019; 22(11):1288-1295. [Cited 2021 jun 13]. Available in: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038420/ | spa |
dc.relation.references | Li J, Xie X-W, Zhou H, Wang B, Zhang M-J, Tang F-Y. Metabolic profiling reveals new serum biomarkers of lupus nephritis. Lupus. [Internet]. 2017;26(11):1166-1173. [Cited 2022 feb 10]. Available in: https://journals.sagepub.com/doi/10.1177/0961203317694256?url_ver=Z39.8 8-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub%20%200pubmed) | spa |
dc.relation.references | Zhang Q, Li X, Yin X, Wang H, Fu C, Wang H, et al. Metabolomic profiling reveals serum L-pyroglutamic acid as a potential diagnostic biomarker for systemic lupus erythematosus. Rheumatology. [Internet] Volume 60, Issue 2. 2021. [Cited 2022 mar 20]. Available in: https://doi.org/10.1093/rheumatology/keaa126 | spa |
dc.relation.references | Anaya J, Shoenfeld Y, Correa PA, Carrasco MG, Cervera R. Autoinmunidad y Enfermedad Autoinmune. [Internet]. 1ra. ed. Colombia. CORPORACIÓN PARA INVESTIGACIONES BIOLÓGICAS. 2005. [Cited 2021 ene 15] Disponible en: https://repository.urosario.edu.co/handle/10336/28852?show=full | spa |
dc.relation.references | Theofilopoulos A N, Kono D H, Baccala R. The multiple pathways to autoimmunity. Nat Immunol. [Internet]. 2017 Jun 20;18(7):716-724. [Cited 2021 jun 17]. Available in: https://www.nature.com/articles/ni.3731 | spa |
dc.relation.references | Holick F. Sunlight and vitamin D for bone health and prevention of autoimmune diseases, cancers, and cardiovascular disease. AM J CLIN NUTR. [Internet]. 2004; 17. [Cited 2020 Oct 13]. Available in: 10.1093/ajcn/80.6.1678S | spa |
dc.relation.references | Herrmann I, Kellert M, Schmidt H, Mildner A, Hanish U, Bruck W, et al. Streptococcus pneumoniae Infection Aggravates Experimental Autoimmune Encephalomyelitis via Toll-Like Receptor 2. Infect Immun. [Internet]. 2006; 74:4841–4848. [Cited 2020 oct 13]. Available in: https://journals.asm.org/doi/10.1128/IAI.00026-06 | spa |
dc.relation.references | Segerstrom S. Stress, Energy, and Immunity: An Ecological View. Curr Dir Psychol Sci. [Internet]. 2007; 16:326–330. [Cited 2020 Oct 13]. Available in: https://journals.sagepub.com/doi/abs/10.1111/j.1467-8721.2007.00522.x | spa |
dc.relation.references | Corsini E, Liesivuori J, Vergieva T, Van Loveren H, Colosio C. Effects of pesticide exposure on the human immune system. Hum Exp Toxicol. [Internet]. 2008; 27: 5846–5861. [Cited 2020 Oct 13]. Available in: https://www.mdpi.com/1660-4601/12/6/5846 | spa |
dc.relation.references | Lebba V, Nicoletti M, Schippa S. Gut microbiota and the immune system: an intimate partnership in health and disease. INT J IMMUNOPATH PH. [Internet]. 2012; 25:823-833. [Cited 2020 Oct 13]. Available in: https://journals.sagepub.com/doi/10.1177/039463201202500401 | spa |
dc.relation.references | Clark P M, Dawany N, Dampier W, Byers S W, Pestell R G, Tozeren A. Bioinformatic analysis reveals microRNA and transcriptome signatures and drug repositioning targets for IBD and other autoimmune diseases. Inflamm Bowel Dis. [Internet]. 2012; 18:2315-33. [Cited 2020 Oct 13]. Available in: 10.1002/ibd.22958 | spa |
dc.relation.references | Karlén J, Faresjo T, Ludvigsson J. Could the social environment trigger the induction of diabetes related autoantibodies in young children? Scand. J. Public Health. [Internet]. 2012; 40(2):177-182. [Cited 2020 Oct 13]. Available in: https://doi.org/10.1177/1403494811435491 | spa |
dc.relation.references | Guivier E, Galán M, Henttonen H, Cosson J, Charbonnel N. Landscape characteristics and helminth co-infection shape the immune heterogeneity of field mice, with consequences for the epidemiology of the Puumala virus. J. Heredity. [Internet]. 2013; 112: 274–281 [Cited 2020 Oct 13]. Available in: 10.1038/hdy.2013.103 | spa |
dc.relation.references | Villarraga A, Hoz J, Fernández O, Amaya J, Franco J. Autoimmune ecology. 1 ed. [Internet]. Bogotá: Prensa Universitaria El Rosario. 2013 [Cited 2020 Oct 13]. Available in: https://editorial.urosario.edu.co/gpd-autoimmunity.html | spa |
dc.relation.references | Tiniakou E, Costenbader K, Kriegel M. Sex-specific environmental influences on the development of autoimmune diseases. J. Clin. Immunol. [Internet]. 2013; 149: 182-191 [Cited 2020 Oct 13]. Available in: https://www.sciencedirect.com/science/article/abs/pii/S1521661613000466 | spa |
dc.relation.references | Brinkworth J, Barreiro L. The contribution of natural selection to present-day susceptibility to chronic inflammatory and autoimmune disease.Curr. Opin. Immunol. [Internet]. 2014; 31: 66–78 [Cited 2020 Oct 13]. Available in: https://pubmed.ncbi.nlm.nih.gov/25458997/ | spa |
dc.relation.references | Franco JS, Anaya JM. The autoimmune tautology with a focus on antiphospholipid syndrome. Lupus. [Internet]. 2014; 23: 1273 - 1275 [Cited 2020 Oct 13]. Available in: https://journals.sagepub.com/doi/10.1177/0961203314537362 | spa |
dc.relation.references | Wekerle H. The gut-brain connection: triggering of brain autoimmune diseases by commensal gut bacteria. J. Rheumatol. [Internet]. 2016; 55: 68 –75 [Cited 2020 Oct 13]. Available in: https://doi.org/10.1093/rheumatology/kew353 | spa |
dc.relation.references | Huffnagle G, Dickson R, Lukacs N. The respiratory tract microbiome and lung inflammation: a two-way street, mucosal immunology. Mucosal Immunol. [Internet]. 2016; 10: 299 - 306 [Cited 2020 Oct 13]. Available in: https://doi.org/10.1038/mi.2016.108 | spa |
dc.relation.references | García M, Jiménez E, Gálves J, Vázquez L, Mendoza C, Etchegaray I, et al. Vitamin D and Sjögren syndrome. [Internet]. 2017; 587-593. [Cited 2020 Nov 21]. Available in: https://doi.org/10.1016/j.autrev.2017.04.004 | spa |
dc.relation.references | Lee C, Hsu P, Su C. Increased prevalence of Sjogren's syndrome in where soils contain high levels of chromium. [Internet]. 2019. 1121-1126. [Cited 2020 Nov 21]. Available in: https://doi.org/10.1016/j.scitotenv.2018.12.122 | spa |
dc.relation.references | Cui L, Lu H, Lee YH. Challenges and emergent solutions for LC-MS/MS based untargeted metabolomics in diseases. Wiley Periodicals. [Internet]. 2018. [Cited 11 Mar 2021]. Available in: 10.1002/mas.21562 | spa |
dc.relation.references | Gautier JC. Drug Safety Evaluation: Methods and Protocols. Humana Press. [Internet]. 2017. [Cited 11 Mar 2021]. Available in: https://link.springer.com/book/10.1007/978-1-60761-849-2 | spa |
dc.relation.references | Sugimoto M, Kawakami M, Robert M, Soga T, Tomita M. Bioinformatics Tools for Mass Spectroscopy-Based Metabolomic Data Processing and Analysis. Current Bioinformatics. [Internet]. 2012; 7, 96-108. [Cited 11 Mar 2021]. Available in: https://pubmed.ncbi.nlm.nih.gov/22438836/ | spa |
dc.relation.references | Cansın Ö, Eylem C, Reçber T, Kır S, Nemutlu E.Integration of GC–MS and LC–MS for untargeted metabolomics profiling. [Internet]. 2020; 190; 113509. [Cited 2021 Abr 16]. Available in: https://doi.org/10.1016/j.jpba.2020.113509 | spa |
dc.relation.references | Ribbenstedt A, Ziarrusta H, Benskin JP. Development, characterization and comparisons of targeted and non-targeted metabolomics methods. PLoS ONE. [Internet]. 2018; 13(11). [Cited 11 Mar 2021]. Available in: https://doi.org/10.1371/journal.pone.0207082 | spa |
dc.relation.references | Barnes S, Benton H, Casazza K, Cooper S, Cui X, Du X, et al. Training in metabolomics research. II. Processing and statistical analysis of metabolomics data, metabolite identification, pathway analysis, applications of metabolomics and its future. J Mass Spectrom. [Internet]. 2016 Aug; 51(8): 535–548. [Cited 2021 Abr 15]. Available in: https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/abs/10.1002/jms.3 780 | spa |
dc.relation.references | MZmine. MZmine 3. [Internet]. 2015. [Cited 2021 Abr 15]. Available in: http://mzmine.github.io | spa |
dc.relation.references | Wold S, Sjöström M, Eriksson L. PLS-regression: a basic tool of chemometrics. Chemometr Intell Lab Syst. [Internet]. 2001; 58(2): 109-130. [Cited 2021 Abr 15]. Available in: https://doi.org/10.1016/S0169-7439(01)00155-1 | spa |
dc.relation.references | Zubiri A. Análisis metabolómico no dirigido en dos líneas de conejos seleccionadas de forma divergente para grasa intramuscular. [Internet]. 2018. [Citado el 2021 Abr 17]. Disponible en: https://riunet.upv.es/bitstream/handle/10251/112032/Zubiri%20-%20An%C3% A1lisis%20metabol%C3%B3mico%20no | spa |
dc.relation.references | Iriondo G. Estudio metabolómico de los efectos relacionados con la escasez de agua durante el crecimiento de los cultivos de arroz (Oryza sativa japonica). [Internet]. 2016. [Citado el 2021 Abr 17]. Disponible en: https://upcommons.upc.edu/bitstream/handle/2117/106001/TFM_GUILLERM O_IRIONDO.pdf?sequence=1&isAllowed=y | spa |
dc.relation.references | Garcia N, Rubio R, Emperiale V, Movasat A, Systemic sclerosis. [Internet]. 2021; 1769-1778. [Cited 18 Ago 2021]. Available in: https://doi.org/10.1016/j.med.2021.04.004 | spa |
dc.relation.references | Herrera M, Monge P, ESCLEROSIS SISTÉMICA CUTÁNEA, [Internet]. 2015; 591 - 596. [Cited 18 Ago 2021]. Available in: https://www.medigraphic.com/pdfs/revmedcoscen/rmc-2015/rmc153o.pdf | spa |
dc.relation.references | MiSistemaInmune. ESCLERODERMIA Y SISTEMA INMUNE. [Internet]. 2017. [Citado 2021 Ago 14]. Disponible en: https://www.misistemainmune.es/enfermedades-sistema-inmunitario/autoinmu nes/esclerodermia-y-sistema-inmune | spa |
dc.relation.references | Medline Plus. Síndrome de Sjögren. [Internet]. 2020. [Citado 2021 Abr 27]. Disponible en: https://medlineplus.gov/spanish/sjogrenssyndrome.html | spa |
dc.relation.references | Bjordal O, Norheim K, Rødahl E, Jonsson R, Omdal R. Primary Sjögren’s syndrome and the eye. Surv. Ophthalmol. [Internet] 2020. [Cited 2021 Ago 11] DOI: https://www.sciencedirect.com/science/article/pii/S0039625719302838 | spa |
dc.relation.references | Mavragani C, Haralampos M. Sjögren's syndrome: Old and new therapeutic targets. J. Autoimmunity. [Internet]. 2020; 110, 102364. [Cited 2021 Abr 15]. Available in: https://doi.org/10.1016/j.jaut.2019.102364 | spa |
dc.relation.references | Soyfoo M S, Nicaise C. Pathophysiologic role of Interleukin-33/ST2 in Sjögren's syndrome. Autoimmun. Rev. [Internet]. 2021; 20 (3): 102756. [Cited 2021 Ago 11]. Available in: https://www.sciencedirect.com/science/article/abs/pii/S156899722100015X | spa |
dc.relation.references | Psianou K, Panagoulias I, Papanastasiou A D, de Lastic A, Spantidea P I, Degn S E, et al. Clinical and immunological parameters of Sjögren's syndrome. Autoimmun. Rev. [Internet]. 2018; 17 (10): 1053-1064. [Cited 2021 Ago 11]. Available in: 10.1016/J.AUTREV.2018.05.005 | spa |
dc.relation.references | Bengtsson AA, Trygg J, Wuttge DM, Sturfelt G, Theander E, Donten M, et al. Metabolic Profiling of Systemic Lupus Erythematosus and Comparison with Primary Sjögren’s Syndrome and Systemic Sclerosis. [Internet]. PLoS ONE 11(7): e0159384. [Cited 2022 mar 20] Available in: 10.1371/journal.pone.0159384 | spa |
dc.relation.references | Xu T, Guo Y, Lu J, Shan J, Lin L, Qian W, et al. Untargeted serum metabolomics and potential biomarkers for Sjögren’s syndrome. Clin Exp Rheumatol. [Internet]. 2021. [Cited 19 mar 2022]. Available in: PMID: 34251320. | spa |
dc.relation.references | Fernández Á, Borrás I, Quirantes R, Alarcón M, Beretta L, Segura A; Precisesads Clinical Consortium. Discovering new metabolite alterations in primary sjögren's syndrome in urinary and plasma samples using an HPLC-ESI-QTOF-MS methodology. J Pharm Biomed Anal. [Internet]. 2020. Feb 5;179:112999. [Cited 20 mar 2022] Available in: 10.1016/j.jpba.2019.112999. | spa |
dc.relation.references | Maria NI, van Helden-Meeuwsen CG, Brkic Z, Paulissen SM, Steenwijk EC, Dalm VA, et al. Association of Increased Treg Cell Levels With Elevated Indoleamine 2,3-Dioxygenase Activity and an Imbalanced Kynurenine Pathway in Interferon-Positive Primary Sjögren's Syndrome. Arthritis Rheumatol. [Internet]. 2016 Jul;68(7):1688-99. [Cited 20 mar 2022] Available in: 10.1002/art.39629 | spa |
dc.relation.references | Gold R, Kappos L, Arnold D, Bar-Or A, Giovannoni G, Selmaj K, et al. Placebo-Controlled Phase 3 Study of Oral BG-12 for Relapsing Multiple Sclerosis. N Engl J Med [Internet]. 2012. 2012;367:1098-107. [Cited 2021 Abr 11]. Available in: 10.1056/NEJMoa1114287 | spa |
dc.relation.references | Smolenska Z, Kaczorowska M, Wojteczek A, Zajac B, Zdrojewski Z. Metabolic pattern of systemic sclerosis: association of changes in plasma concentrations of amino acid-related compounds with the presentation of the disease. NLM. [Internet]. 2020;7:585161. [Cited 2021 Abr 17] Available in: doi:10.3389/fmolb.2020.58516 | spa |
dc.relation.references | Murgia F, Svegliati S, Poddighe S, Lussu M, Manzin A, Spadoni T, et al. Metabolomic profile of systemic sclerosis patients. Sci. Rep. [Internet]. 2018; 8, 7626. [Cited 2021 Abr 17]. Available in: https://doi.org/10.1038/s41598-018-25992-7 | spa |
dc.relation.references | Mok M, Fung P, Ooi C, Tse H, Wong Y, Lam Y, et al. Serum nitric oxide metabolites and disease activity in patients with systemic sclerosis. Clin Rheumatol. [Internet]. 2007.27, 315–322. [Cited 2021 Abr 16] Available in: 10.1007/s10067-007-0708-9 | spa |
dc.relation.references | Meier C, Freiburghaus K, Bovet C, Schniering J, Allanore Y, Distler O, el al. biomarkers in systemic sclerosis-associated interstitial lung disease. Scientific Reports. [Internet]. 2020. [Cited 2021 Abr 16] Available in: https://doi.org/10.1038/s41598-020-78951-6 | spa |
dc.relation.references | Reis F, Fantucci M, Adriano L, Valim V, Mattar T, Louzada-Junior P, et al. Neurological and Inflammatory Manifestations in Sjögren’s Syndrome: The Role of the Kynurenine Metabolic Pathway. Int J Mol Sci. [Internet]. 2018 Dec; 19(12): 3953. [Cited 2021 Abr 15]. Available in: 10.3390/ijms19123953 | spa |
dc.relation.references | Fernández A, Borrás I, Quirantes R, Alarcón M, Beretta L, Segura A, et al. Discovering new metabolite alterations in primary sjögren’s syndrome in urinary and plasma samples using an HPLC-ESI-QTOF-MS methodology. J. Pharm. [Internet]. 2020; 179(5): 112999. [Cited 2021 Abr 15]. Available in: https://doi.org/10.1016/j.jpba.2019.112999 | spa |
dc.relation.references | Kageyama G, Saegusa J,Irino Y, Tanaka S, Tsuda K, Takahashi S, et al. Metabolomics analysis of saliva from patients with primary Sjögren's syndrome. Clin Exp Immunol. [Internet]. 2015 Nov; 182(2): 149–153. [Cited 2021 Abr 15]. Available in: 10.1111/cei.12683 | spa |
dc.rights.accessrights | info:eu-repo/semantics/closedAccess | spa |
dc.rights.creativecommons | Atribución-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0) | spa |
dc.subject.lemb | Suero | |
dc.subject.lemb | Metabolito | |
dc.subject.lemb | Ecología autoinmune | |
dc.subject.lemb | Autoinmunidad | |
dc.subject.proposal | Metabolómica | spa |
dc.subject.proposal | Esclerosis Sistémica | spa |
dc.subject.proposal | Síndrome de Sjögren | spa |
dc.type.coar | http://purl.org/coar/resource_type/c_7a1f | spa |
dc.type.coarversion | http://purl.org/coar/version/c_970fb48d4fbd8a85 | spa |
dc.type.content | Text | spa |
dc.type.driver | info:eu-repo/semantics/bachelorThesis | spa |
dc.type.redcol | https://purl.org/redcol/resource_type/TP | spa |
dc.type.version | info:eu-repo/semantics/publishedVersion | spa |
dc.rights.coar | http://purl.org/coar/access_right/c_14cb | spa |