Genetic Variants in RANK and OPG Could Influence Disease Severity and Bone Remodeling in Patients with Early Arthritis
dc.contributor.author | Triguero Martínez, Ana | |
dc.contributor.author | Pardines, Marisa | |
dc.contributor.author | Montes, Nuria | |
dc.contributor.author | Ortiz, Ana María | |
dc.contributor.author | De la Iglesia Cedeira, Alba | |
dc.contributor.author | Valero Martínez, Cristina | |
dc.contributor.author | Martín, Javier | |
dc.contributor.author | González Álvaro, Isidoro | |
dc.contributor.author | Castañeda, Santos | |
dc.contributor.author | Lamana Domínguez, Amalia | |
dc.date.accessioned | 2024-12-03T11:36:17Z | |
dc.date.available | 2024-12-03T11:36:17Z | |
dc.date.issued | 2024 | |
dc.description | This research was funded by grant of the REI network (RD21/0002/0027) to A.T.-M., PI21/00526 to I.G-A. and PI21/01474 to S.C. from the Ministerio de Economía y Competitividad (INSTITUTO DE SALUD CARLOS III), co-funded by the European regional development fund (ERDF) “A way to make Europe”, and grant number RD21/0002/0004 to A.L., from “INSTITUTO DE SALUD CARLOS III”. Finally, M.P. has an INVESTIGO grant from the Comunidad de Madrid. Genotyping was funded by project PI18/00371. | |
dc.description.abstract | The aim of this study was to identify single-nucleotide polymorphisms (SNPs) in bone remodeling-related genes associated with disease severity and bone mineral density (BMD) in early arthritis (EA) patients. For this purpose, the genotyping of 552 SNPs located in gene regions of semaphorins 4b, 4d, 4f, DKK1, 2 and 3, sclerostin, OPG, RANK and RANKL was performed using Immunochip from Illumina Inc. in 268 patients from the Princesa Early Arthritis Register Longitudinal (PEARL) study. Measurements of BMD and disease activity were chosen as outcome variables to select SNPs of interest. The relationships of SNPs with the BMD of the forearm, lumbar spine and hip (Hologic-4500 QDR) were analyzed by linear regression adjusted for age, sex, body mass index and presence of anti-citrullinated peptide antibodies (ACPAs). The association of each SNP with activity variables was analyzed by linear regression, logistic regression or ordered logistic regression according to the variable, and multivariate models were adjusted for potentially confounding variables, such as age, sex and presence of ACPAs. These analyses showed that four SNPs located in the genes coding for RANK (TNFRSF11A) and OPG (TNFRSF11B) were significantly associated with clinical variables of severity. SNP rs1805034 located in exon 6 of TNFRSF11A, which causes a non-synonymous (A/V) mutation, showed significant association with BMD and therefore may be considered as a possible biomarker of severity in RA patients. SNPs in the OPG gene showed an association with serum OPG levels and predicted disease activity after two years of follow-up. | |
dc.description.department | Depto. de Bioquímica y Biología Molecular | |
dc.description.faculty | Fac. de Ciencias Biológicas | |
dc.description.refereed | TRUE | |
dc.description.sponsorship | Ministerio de Ciencia, Innovación y Universidades (España) | |
dc.description.sponsorship | Ministerio de Economía y Competitividad (España) | |
dc.description.sponsorship | Instituto de Salud Carlos III | |
dc.description.sponsorship | European Commission | |
dc.description.sponsorship | Comunidad de Madrid | |
dc.description.status | pub | |
dc.identifier.citation | Triguero-Martínez, A., Pardines, M., Montes, N., Ortiz, A. M., de la Iglesia-Cedeira, A., Valero-Martínez, C., Martín, J., González-Álvaro, I., Castañeda, S., & Lamana, A. (2024). Genetic Variants in RANK and OPG Could Influence Disease Severity and Bone Remodeling in Patients with Early Arthritis. Life, 14(9). https://doi.org/10.3390/LIFE14091109 | |
dc.identifier.doi | 10.3390/life14091109 | |
dc.identifier.issn | 2075-1729 | |
dc.identifier.officialurl | https://doi.org/10.3390/life14091109 | |
dc.identifier.relatedurl | https://www.mdpi.com/2075-1729/14/9/1109 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14352/111946 | |
dc.issue.number | 9 | |
dc.journal.title | Life | |
dc.language.iso | eng | |
dc.page.final | 17 | |
dc.page.initial | 1 | |
dc.publisher | MDPI | |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN/RD21/0002/0027 | |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//PI21/00526/Biomarcadores que contribuyen a optimizar la ventana de oportunidad en pacientes con artritis de reciente comienzo | |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//PI21/01474/Impacto de la Suspensión temporal del metotrexato sobre la respuesta inmune humoral y celular de la vacuna Covid-19 en pacientes con artritis reumatoide | |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN/RD21/0002/0004 | |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//PI18/00371/Predicción de la evolución de la Artritis Reumatoide mediante técnicas de machine learning | |
dc.rights | Attribution 4.0 International | en |
dc.rights.accessRights | open access | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.subject.cdu | 616-002.77 | |
dc.subject.cdu | 616.72-002 | |
dc.subject.cdu | 575:61 | |
dc.subject.cdu | 577.1 | |
dc.subject.keyword | Early arthritis | |
dc.subject.keyword | Single-nucleotide polymorphisms | |
dc.subject.keyword | Bone remodeling | |
dc.subject.keyword | Bone mineral density | |
dc.subject.keyword | Severity | |
dc.subject.keyword | Osteoimmunology | |
dc.subject.ucm | Genética médica | |
dc.subject.ucm | Reumatología | |
dc.subject.ucm | Bioquímica (Biología) | |
dc.subject.unesco | 2410.07 Genética Humana | |
dc.subject.unesco | 3205.09 Reumatología | |
dc.subject.unesco | 2403 Bioquímica | |
dc.title | Genetic Variants in RANK and OPG Could Influence Disease Severity and Bone Remodeling in Patients with Early Arthritis | |
dc.type | journal article | |
dc.type.hasVersion | VoR | |
dc.volume.number | 14 | |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | 2d0aaaa2-b7d1-4fdf-8567-0789d3489cb0 | |
relation.isAuthorOfPublication.latestForDiscovery | 2d0aaaa2-b7d1-4fdf-8567-0789d3489cb0 |
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