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Integrated miRNA and mRNA expression profiling identifies novel targets and pathological mechanisms in autoimmune thyroid diseases

Authors :
Rebeca Martínez-Hernández
Francisco Sánchez-Madrid
Mónica Marazuela
Noa B. Martín-Cófreces
Ana Serrano-Somavilla
Ana M. Ramos-Leví
María Ujué González
Javier Casares-Arias
Miguel Sampedro-Núñez
Juan Carlos Triviño
Alberto Lens-Pardo
Lorena Torné
José Luis Muñoz de Nova
UAM. Departamento de Cirugía
UAM. Departamento de Medicina
Instituto de Investigación del Hospital de La Princesa (IP)
Instituto de Salud Carlos III
Comunidad de Madrid
Grupo Español de Tumores Neuroendocrinos y Endocrinos
European Commission
Consejo Superior de Investigaciones Científicas (España)
Comunidad de Madrid (España)
Unión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF)
Ministerio de Economía, Industria y Competitividad (España)
Source :
Biblos-e Archivo. Repositorio Institucional de la UAM, instname, Digital.CSIC. Repositorio Institucional del CSIC, EBioMedicine, Biblos-e Archivo: Repositorio Institucional de la UAM, Universidad Autónoma de Madrid, EBioMedicine, Vol 50, Iss, Pp 329-342 (2019), Repisalud, Instituto de Salud Carlos III (ISCIII)
Publication Year :
2019
Publisher :
Elsevier España, S.L.U., 2019.

Abstract

[Background] The mechanisms underlying autoimmune thyroid disease (AITD) remain elusive. Identification of such mechanisms would reveal novel and/or better therapeutic targets. Here, we use integrated analysis of miRNAs and mRNAs expression profiling to identify potential therapeutic targets involved in the mechanisms underlying AITD.<br />[Methods] miRNA and mRNA from twenty fresh-frozen thyroid tissues (15 from AITD patients and 5 from healthy controls) were subjected to next-generation sequencing. An anti-correlated method revealed potential pathways and disease targets, including proteins involved in the formation of primary cilia. Thus, we examined the distribution and length of primary cilia in thyroid tissues from AITD and controls using immunofluorescence and scanning electron microscopy, and parsed cilia formation in thyroid cell lines in response to inflammatory stimuli in the presence of miRNA mimics.<br />[Findings] We found that the expression of miR-21-5p, miR-146b-3p, miR-5571-3p and miR-6503-3p was anti-correlated with Enolase 4 (ENO4), in-turned planar cell polarity protein (INTU), kinesin family member 27 (KIF27), parkin co-regulated (PACRG) and serine/threonine kinase 36 (STK36) genes. Functional classification of these miRNA/mRNAs revealed that their differential expression was associated with cilia organization. We demonstrated that the number and length of primary cilia in thyroid tissues was significantly lower in AITD than in control (frequency of follicular ciliated cells in controls = 67.54% vs a mean of 22.74% and 21.61% in HT and GD respectively p = 0.0001, by one-way ANOVA test). In addition, pro-inflammatory cytokines (IFNγ and TNFα) and specific miRNA mimics for the newly identified target genes affected cilia appearance in thyroid cell lines.<br />[Interpretation] Integrated miRNA/gene expression analysis has identified abnormal ciliogenesis as a novel susceptibility pathway that is involved in the pathogenesis of AITD. These results reflect that ciliogenesis plays a relevant role in AITD, and opens research pathways to design therapeutic targets in AITD.<br />This work was supported by the following grants: Proyectos de Investigación en Salud (FIS) PIE13-0041 and PI16-02091 (funded by Instituto de Salud Carlos III), TIRONET2-CM, B2017/BMD-3724 (funded by Comunidad de Madrid), GETNE G1707 (funded by Grupo Español de Tumores Neuroendocrinos y Endocrinos) and cofinanced by FEDER funds to MM. We also acknowledge the service from the MiNa Laboratory at IMN, and funding from CM (project S2018/NMT-4291 TEC2SPACE), MINECO (project CSIC13-4E-1794) and EU (FEDER, FSE) to M.U.G. The funders had no role in study design, data collection, data analysis, interpretation or writing of the report.

Details

Database :
OpenAIRE
Journal :
Biblos-e Archivo. Repositorio Institucional de la UAM, instname, Digital.CSIC. Repositorio Institucional del CSIC, EBioMedicine, Biblos-e Archivo: Repositorio Institucional de la UAM, Universidad Autónoma de Madrid, EBioMedicine, Vol 50, Iss, Pp 329-342 (2019), Repisalud, Instituto de Salud Carlos III (ISCIII)
Accession number :
edsair.doi.dedup.....2d4be7d07f15c8adb5c482ac542dabf1