Identificación de potenciales biomarcadores plasmáticos de progresión de enfermedad con artritis reumatoide a partir del análisis bioinformático de ARNlnc

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dc.contributor.advisorQuintana López, Gerardo
dc.contributor.advisorNiño Vasquez, Luis Fernando
dc.contributor.authorJattin Balcázar, Jairo Javier
dc.contributor.cvlacJattin Balcázar, Jairo Javier [0000037279]
dc.contributor.googlescholarJattin Balcázar, Jairo Javier [WT1IY_MAAAAJ]
dc.contributor.orcidJattin Balcázar, Jairo Javier [0000000214012710]
dc.contributor.researchgateJattin Balcázar, Jairo Javier [Jairo-Jattin]
dc.contributor.researchgroupReumavance – Laboratorio de investigación en sistemas inteligentes
dc.contributor.scopusJattin Balcázar, Jairo Javier [57191051078]
dc.date.accessioned2026-01-29T15:33:16Z
dc.date.available2026-01-29T15:33:16Z
dc.date.issued2025
dc.descriptionIlustraciones, gráficosspa
dc.description.abstractLa artritis reumatoide (AR) es una enfermedad inflamatoria crónica de curso heterogéneo, cuya progresión clínica varía entre pacientes y puede conducir a daño articular irreversible. Esta variabilidad ha motivado la búsqueda de marcadores moleculares capaces de anticipar trayectorias clínicas y orientar decisiones terapéuticas desde etapas tempranas. En este contexto, los ARN largos no codificantes (ARNlnc) han sido propuestos como posibles moduladores de la respuesta inmunológica y candidatos para el desarrollo de biomarcadores pronósticos. Este estudio analizó cuatro conjuntos de datos públicos del repositorio NCBI GEO, correspondientes a tejido sinovial y sangre periférica de 130 pacientes con AR en estadios temprano y establecido. Se evaluó la expresión génica diferencial, el enriquecimiento funcional, las relaciones entre transcritos y el desarrollo de un índice compuesto de expresión. Entre los genes evaluados, se priorizaron genes codificantes y 110 ARNlnc. En AR temprana se observó sobreexpresión de LINC02828, ZBED3-AS1 y KIF26A-DT, mientras que en AR establecida predominaron LINC02915, BTBD9-AS1 y MSRB3-AS1. Estos transcritos se asociaron a rutas inmunológicas como mTOR, AMPK y FoxO. El índice compuesto permitió segmentar pacientes en subgrupos con perfiles transcriptómicos diferenciados, lo que reveló trayectorias moleculares divergentes con posible implicación pronóstica. Los resultados sugieren que los ARNlnc podrían actuar como marcadores de progresión y como herramientas para la estratificación clínica, con utilidad potencial en investigación traslacional y seguimiento terapéutico. (Texto tomado de la fuente)spa
dc.description.abstractRheumatoid arthritis (RA) is a chronic inflammatory disease with a heterogeneous clinical course, where progression varies among patients and may lead to irreversible joint damage. This variability has driven the search for molecular markers capable of anticipating clinical trajectories and guiding therapeutic decisions from early stages. In this context, long non-coding RNAs (lncRNAs) have been proposed as potential modulators of immune responses and candidates for the development of prognostic biomarkers. This study analyzed four publicly available datasets from the NCBI GEO repository, comprising synovial tissue and peripheral blood samples from 130 patients with early and established RA. Differential gene expression, functional enrichment, transcript relationships, and the development of a composite expression index were evaluated. Among the genes evaluated, both coding genes and 110 lncRNAs, were prioritized. In early RA, LINC02828, ZBED3-AS1, and KIF26A-DT were overexpressed, while in established RA, LINC02915, BTBD9-AS1, and MSRB3-AS1 predominated. These transcripts were associated with immune-related pathways such as mTOR, AMPK, and FoxO. The composite expression index enabled the segmentation of patients into subgroups with distinct transcriptomic profiles, revealing divergent molecular trajectories with potential prognostic relevance. The findings suggest that lncRNAs may serve as markers of disease progression and as tools for clinical stratification, with potential applications in translational research and therapeutic monitoringeng
dc.description.degreelevelMaestría
dc.description.degreenameMagíster en Inmunología
dc.description.notesDistinción meritoriaspa
dc.description.researchareaBiología de sistemas
dc.description.technicalinfoRstudio, limma, MCODE, CHEA3, TRRUST, metaRNAseq, Rayyan.ai, metaseqspa
dc.format.extentxv, 107 páginas
dc.format.mimetypeapplication/pdf
dc.identifier.instnameUniversidad Nacional de Colombiaspa
dc.identifier.reponameRepositorio Institucional Universidad Nacional de Colombiaspa
dc.identifier.repourlhttps://repositorio.unal.edu.co/spa
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/89345
dc.language.isospa
dc.publisherUniversidad Nacional de Colombia
dc.publisher.branchUniversidad Nacional de Colombia - Sede Bogotá
dc.publisher.facultyFacultad de Medicina
dc.publisher.placeBogotá, Colombia
dc.publisher.programBogotá - Medicina - Maestría en Inmunología
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dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.licenseReconocimiento 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.blaaTranscriptómica
dc.subject.ddc610 - Medicina y salud
dc.subject.lembArtritis reumatoidespa
dc.subject.lembRheumatoid arthritiseng
dc.subject.lembARNspa
dc.subject.lembRibonucleic acideng
dc.subject.lembMarcadores bioquímicosspa
dc.subject.lembBiochemical markerseng
dc.subject.lembBioinformáticaspa
dc.subject.lembBioinformaticseng
dc.subject.lembInmunología molecularspa
dc.subject.lembMolecular immunologyeng
dc.subject.proposalLcnRNAspa
dc.subject.proposalArtritis reumatoidespa
dc.subject.proposalBiomarcadoresspa
dc.subject.proposalLcnRNAeng
dc.subject.proposalRheumatoid arthritiseng
dc.subject.proposalBiomarkerseng
dc.titleIdentificación de potenciales biomarcadores plasmáticos de progresión de enfermedad con artritis reumatoide a partir del análisis bioinformático de ARNlncspa
dc.title.translatedIdentification of potential plasma biomarkers of disease progression in rheumatoid arthritis from lncRNA bioinformatics analysiseng
dc.typeTrabajo de grado - Maestría
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dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.contentText
dc.type.driverinfo:eu-repo/semantics/masterThesis
dc.type.redcolhttp://purl.org/redcol/resource_type/TM
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dcterms.audience.professionaldevelopmentInvestigadores
dcterms.audience.professionaldevelopmentEstudiantes
dcterms.audience.professionaldevelopmentInvestigadores
dcterms.audience.professionaldevelopmentMaestros
dcterms.audience.professionaldevelopmentPúblico general
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2

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Tesis final en Magíster en Inmunología.pdf
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Maestría en Inmunología