Literature DB >> 35403441

Lymphocytic Thyroiditis Transcriptomic Profiles Support the Role of Checkpoint Pathways and B Cells in Pathogenesis.

Daniel Álvarez-Sierra1,2, Ana Marín-Sánchez1,2, Aroa Gómez-Brey3, Irene Bello4, Enric Caubet5, Pablo Moreno-Llorente6, Anna Petit7, Carles Zafón8, Carmela Iglesias9,10, Óscar González5, Ricardo Pujol-Borrell1,2,10.   

Abstract

Background: Autoimmune thyroid diseases are the most common types of autoimmune diseases, but their physiopathology is still relatively unexplored. Genotype-tissue expression (GTEx) is a publicly available repository containing RNAseq data, including profiles from thyroid. Approximately 14.8% of these glands were affected by focal lymphocytic thyroiditis and 6.3% were annotated as Hashimoto. We interrogated these data to improve the characterization of infiltrating cells and to identify new molecular pathways active in autoimmune thyroiditis. Materials and
Methods: Histological GTEx images of 336 thyroid samples were classified into three categories, that is, non-infiltrated thyroid, small focal infiltrated thyroid, and extensive lymphoid infiltrated thyroid. Differentially expressed genes among these categories were identified and subjected to in silico pathway enrichment analysis accordingly. CIBERSORTx deconvolution was used to characterize infiltrating cells.
Results: As expected, most of the transcriptional changes were dependent on tissue infiltration. Upregulated genes in tissues include-in addition to lineage-specific B and T cell genes-a broad representation of inhibitory immune checkpoint receptors expressed by B and T lymphocytes. CIBERSORTx analysis identified 22 types of infiltrating cells showed that T cells predominate 3:1 over B cells in glands with small infiltrates, only by 1.7:1 in those with large infiltrates. Follicular helper and memory CD4 T cells were significantly more abundant in glands with large infiltrates (p < 0.0001), but the most prominent finding in these glands was an almost sixfold increase in the number of naive B cells (p < 0.0001). A predominance of M2 macrophages over M1 and M0 macrophages was observed in the three gland categories (p < 0.001). Conclusions: Analysis of transcriptomic RNA-seq profiles constitutes a rich source of information for the analysis of autoimmune tissues. High-resolution transcriptomic data analysis of thyroid glands indicates the following: (a) in all infiltrated glands, active autoimmune response coexists with suppressor counteracting mechanisms involving several inhibitory checkpoint receptor pairs, (b) glands with small infiltrates contain an unexpected relatively high proportion of B lymphocytes, and (c) in highly infiltrated glands, there is a distinct transcriptomic signature of active tertiary lymphoid organs. These results support the concept that the autoimmune response is amplified in the thyroid tissue.

Entities:  

Keywords:  autoimmunity; immune checkpoints; thyroiditis; tolerance

Mesh:

Year:  2022        PMID: 35403441      PMCID: PMC9360182          DOI: 10.1089/thy.2021.0694

Source DB:  PubMed          Journal:  Thyroid        ISSN: 1050-7256            Impact factor:   6.506


  49 in total

Review 1.  Balancing co-stimulation and inhibition with BTLA and HVEM.

Authors:  Kenneth M Murphy; Christopher A Nelson; John R Sedý
Journal:  Nat Rev Immunol       Date:  2006-09       Impact factor: 53.106

Review 2.  T cell exhaustion.

Authors:  E John Wherry
Journal:  Nat Immunol       Date:  2011-06       Impact factor: 25.606

3.  Immunohistochemical characterization of intrathyroid lymphocytes in Graves' disease. Interstitial and intraepithelial populations.

Authors:  J B Margolick; S M Hsu; D J Volkman; K D Burman; A S Fauci
Journal:  Am J Med       Date:  1984-05       Impact factor: 4.965

4.  Expression Profile of Human Fc Receptor-Like 1, 2, and 4 Molecules in Peripheral Blood Mononuclear Cells of Patients with Hashimoto's Thyroiditis and Graves' Disease.

Authors:  D Rostamzadeh; M H Dabbaghmanesh; M Shabani; A Hosseini; Z Amirghofran
Journal:  Horm Metab Res       Date:  2015-03-04       Impact factor: 2.936

Review 5.  T-cell exhaustion: understanding the interface of chronic viral and autoinflammatory diseases.

Authors:  Eoin F McKinney; Kenneth Gc Smith
Journal:  Immunol Cell Biol       Date:  2016-11       Impact factor: 5.126

Review 6.  The diverse functions of the PD1 inhibitory pathway.

Authors:  Arlene H Sharpe; Kristen E Pauken
Journal:  Nat Rev Immunol       Date:  2017-11-13       Impact factor: 53.106

7.  FCRL4 Is an Fc Receptor for Systemic IgA, but Not Mucosal Secretory IgA.

Authors:  Yanling Liu; Sofiya Goroshko; Leslie Y T Leung; Shilan Dong; Srijit Khan; Paolo Campisi; Evan J Propst; Nikolaus E Wolter; Eyal Grunebaum; Götz R A Ehrhardt
Journal:  J Immunol       Date:  2020-06-08       Impact factor: 5.422

8.  Profiling Tumor Infiltrating Immune Cells with CIBERSORT.

Authors:  Binbin Chen; Michael S Khodadoust; Chih Long Liu; Aaron M Newman; Ash A Alizadeh
Journal:  Methods Mol Biol       Date:  2018

9.  Robust enumeration of cell subsets from tissue expression profiles.

Authors:  Aaron M Newman; Chih Long Liu; Michael R Green; Andrew J Gentles; Weiguo Feng; Yue Xu; Chuong D Hoang; Maximilian Diehn; Ash A Alizadeh
Journal:  Nat Methods       Date:  2015-03-30       Impact factor: 28.547

10.  Determining cell type abundance and expression from bulk tissues with digital cytometry.

Authors:  Aaron M Newman; Chloé B Steen; Chih Long Liu; Andrew J Gentles; Aadel A Chaudhuri; Florian Scherer; Michael S Khodadoust; Mohammad S Esfahani; Bogdan A Luca; David Steiner; Maximilian Diehn; Ash A Alizadeh
Journal:  Nat Biotechnol       Date:  2019-05-06       Impact factor: 54.908

View more
  1 in total

Review 1.  The Immune Landscape of Papillary Thyroid Cancer in the Context of Autoimmune Thyroiditis.

Authors:  Fabiana Pani; Paola Caria; Yoshinori Yasuda; Miyara Makoto; Stefano Mariotti; Laurence Leenhardt; Solmaz Roshanmehr; Patrizio Caturegli; Camille Buffet
Journal:  Cancers (Basel)       Date:  2022-09-01       Impact factor: 6.575

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.