<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-06-14T03:38:10Z</responseDate><request verb="GetRecord" identifier="oai:repisalud.isciii.es:20.500.12105/17885" metadataPrefix="mets">https://repisalud.isciii.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:repisalud.isciii.es:20.500.12105/17885</identifier><datestamp>2024-09-21T23:31:19Z</datestamp><setSpec>com_20.500.12105_15322</setSpec><setSpec>com_20.500.12105_2051</setSpec><setSpec>col_20.500.12105_16927</setSpec><setSpec>col_20.500.12105_16961</setSpec><setSpec>col_20.500.12105_16980</setSpec><setSpec>col_20.500.12105_16985</setSpec><setSpec>col_20.500.12105_16987</setSpec></header><metadata><mets xmlns="http://www.loc.gov/METS/" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" ID="&#xa;&#x9;&#x9;&#x9;&#x9;DSpace_ITEM_20.500.12105-17885" TYPE="DSpace ITEM" PROFILE="DSpace METS SIP Profile 1.0" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd" OBJID="&#xa;&#x9;&#x9;&#x9;&#x9;hdl:20.500.12105/17885">
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                  <mods:namePart>Aterido, Adrià</mods:namePart>
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                  <mods:namePart>Cañete, Juan D</mods:namePart>
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                  <mods:namePart>Tornero, Jesús</mods:namePart>
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                  <mods:namePart>Blanco, Francisco</mods:namePart>
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                  <mods:namePart>Fernández-Gutierrez, Benjamín</mods:namePart>
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                  <mods:namePart>Olivè, Alex</mods:namePart>
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                  <mods:namePart>Corominas, Héctor</mods:namePart>
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                  <mods:namePart>Martínez-Taboada, Víctor</mods:namePart>
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                  <mods:namePart>González, Isidoro</mods:namePart>
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                  <mods:namePart>Fernández-Nebro, Antonio</mods:namePart>
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                  <mods:namePart>Erra, Alba</mods:namePart>
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                  <mods:namePart>López-Lasanta, María</mods:namePart>
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                  <mods:namePart>López Corbeto, Mireia</mods:namePart>
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                  <mods:namePart>Palau, Núria</mods:namePart>
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               <mods:name>
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                  <mods:namePart>Marsal, Sara</mods:namePart>
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               <mods:name>
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                     <mods:roleTerm type="text">author</mods:roleTerm>
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                  <mods:namePart>Julià, Antonio</mods:namePart>
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                  <mods:dateAccessioned encoding="iso8601">2024-02-10T20:01:49Z</mods:dateAccessioned>
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                  <mods:dateAvailable encoding="iso8601">2024-02-10T20:01:49Z</mods:dateAvailable>
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                  <mods:dateIssued encoding="iso8601">2019-07-02</mods:dateIssued>
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               <mods:identifier type="doi">10.3389/fimmu.2019.01459</mods:identifier>
               <mods:identifier type="e-issn">1664-3224</mods:identifier>
               <mods:identifier type="journal">Frontiers in immunology</mods:identifier>
               <mods:identifier type="other">http://hdl.handle.net/10668/14246</mods:identifier>
               <mods:identifier type="pubmedID">31312201</mods:identifier>
               <mods:identifier type="uri">http://hdl.handle.net/20.500.12105/17885</mods:identifier>
               <mods:abstract>Background: Rheumatoid arthritis (RA) is the most frequent autoimmune disease involving the joints. Although anti-TNF therapies have proven effective in the management of RA, approximately one third of patients do not show a significant clinical response. The objective of this study was to identify new genetic variation associated with the clinical response to anti-TNF therapy in RA. Methods: We performed a sequential multi-omic analysis integrating different sources of molecular information. First, we extracted the RNA from synovial biopsies of 11 RA patients starting anti-TNF therapy to identify gene coexpression modules (GCMs) in the RA synovium. Second, we analyzed the transcriptomic association between each GCM and the clinical response to anti-TNF therapy. The clinical response was determined at week 14 using the EULAR criteria. Third, we analyzed the association between the GCMs and anti-TNF response at the genetic level. For this objective, we used genome-wide data from a cohort of 348 anti-TNF treated patients from Spain. The GCMs that were significantly associated with the anti-TNF response were then tested for validation in an independent cohort of 2,706 anti-TNF treated patients. Finally, the functional implication of the validated GCMs was evaluated via pathway and cell type epigenetic enrichment analyses. Results: A total of 149 GCMs were identified in the RA synovium. From these, 13 GCMs were found to be significantly associated with anti-TNF response (P</mods:abstract>
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               <mods:subject>
                  <mods:topic>anti-TNF therapy</mods:topic>
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               <mods:subject>
                  <mods:topic>Genomics</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Multi-omics association analysis</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Rheumatoid arthritis</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Transcriptomics</mods:topic>
               </mods:subject>
               <mods:titleInfo>
                  <mods:title>A Combined Transcriptomic and Genomic Analysis Identifies a Gene Signature Associated With the Response to Anti-TNF Therapy in Rheumatoid Arthritis</mods:title>
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               <mods:genre>research article</mods:genre>
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