Identification of new candidate drugs for primary Sjögren’s syndrome using a drug repurposing transcriptomic approach

Author:

Felten Renaud123ORCID,Ye Tao4,Schleiss Cedric2,Schwikowski Benno5ORCID,Sibilia Jean136,Monneaux Fanny2,Dumortier Hélène2,Jonsson Roland7,Lessard Christopher8,Ng Fai9,Takeuchi Tsutomu10,Mariette Xavier11,Gottenberg Jacques-Eric123

Affiliation:

1. Service de Rhumatologie, Hôpitaux Universitaires de Strasbourg , Strasbourg, France

2. Laboratoire d’Immunologie, Immunopathologie et Chimie Thérapeutique, Institut de Biologie Moléculaire et Cellulaire (IBMC), CNRS UPR3572 , Strasbourg, France

3. RESO, Centre de Référence des Maladies Autoimmunes Systémiques Rares Est Sud-Ouest , Strasbourg, France

4. IGBMC, CNRS UMR7104, Inserm U1258, Université de Strasbourg , Illkirch, France

5. Computational Systems Biomedicine Lab, Institut Pasteur , Paris, France

6. Laboratoire d'ImmunoRhumatologie Moléculaire, INSERM UMR_S1109, Université de Strasbourg , Strasbourg, France

7. Broegelmann Research Laboratory, Department of Clinical Science, University of Bergen , Bergen, Norway

8. Department of Pathology, Oklahoma Medical Research Foundation , Oklahoma City, OK, USA

9. Translational and Clinical Research Institute, Newcastle University , Newcastle, UK

10. Division of Rheumatology and Clinical Immunology, Keio University , Tokyo, Japan

11. Service de Rhumatologie, Hôpital Bicètre, APHP, Université Paris-Saclay , Paris, France

Abstract

Abstract Objectives To date, no immunomodulatory drug has demonstrated its efficacy in primary SS (pSS). We sought to analyse potential commonalities between pSS transcriptomic signatures and signatures of various drugs or specific knock-in or knock-down genes. Methods Gene expression from peripheral blood samples of patients with pSS was compared with that of healthy controls in two cohorts and three public databases. In each of the five datasets, we analysed the 150 most up- and downregulated genes between pSS patients and controls with regard to the differentially expressed genes resulting from the biological action on nine cell lines of 2837 drugs, 2160 knock-in and 3799 knock-down genes in the Connectivity Map database. Results We analysed 1008 peripheral blood transcriptomes from five independent studies (868 patients with pSS and 140 healthy controls). Eleven drugs could represent potential candidate drugs, with histone deacetylases and PI3K inhibitors among the most significantly associated. Twelve knock-in genes were associated with a pSS-like profile and 23 knock-down genes were associated with a pSS-revert profile. Most of those genes (28/35, 80%) were interferon-regulated. Conclusion This first drug repositioning transcriptomic approach in SS confirms the interest of targeting interferons and identifies histone deacetylases and PI3K inhibitors as potential therapeutic targets.

Funder

Innovative Medicines Initiative 2 Joint Undertaking

European Union’s Horizon 2020 Research and Innovation Program

European Federation of Pharmaceutical Industries and Associations

NIH

Publisher

Oxford University Press (OUP)

Subject

Pharmacology (medical),Rheumatology

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