Literature DB >> 29314605

Transcriptome profiling of peripheral blood immune cell populations in multiple sclerosis patients before and during treatment with a sphingosine-1-phosphate receptor modulator.

Ines C Angerer1, Michael Hecker1,2, Dirk Koczan2,3, Luisa Roch1, Jörg Friess1, Annelen Rüge1, Brit Fitzner1,2, Nina Boxberger1, Ina Schröder1, Kristin Flechtner3, Hans-Jürgen Thiesen2,3, Alexander Winkelmann1, Stefanie Meister1, Uwe K Zettl1.   

Abstract

AIMS: Fingolimod is a sphingosine-1-phosphate (S1P) receptor modulator approved for the treatment of the relapsing form of multiple sclerosis (MS). It prevents the egress of lymphocyte subpopulations from lymphoid tissues into the circulation. Here, we explored the broad effects of fingolimod on gene expression in different immune cell subsets.
METHODS: Utilizing 150 high-resolution microarrays from Affymetrix, we obtained the transcriptome profiles of 5 cell populations, which were separated from the peripheral blood of MS patients prior to and following oral administration of fingolimod.
RESULTS: After 3 months of treatment, significant transcriptome shifts were seen in CD4+ and CD8+ cells, which is mainly attributable to the selective homing of naive T cells and central memory T cells. Although the number of B cells was greatly reduced in the blood of fingolimod-treated MS patients, the analysis of differential expression in CD19+ cells identified only a small set of 42 genes, which indicated a slightly higher frequency of transitional B cells. The transcriptome signatures of CD14+ monocytes and CD56+ natural killer cells were not affected.
CONCLUSION: Our study corroborates changes in the composition of circulating immune cells in response to fingolimod and delineates the respective implications at the RNA level. Our data may be valuable for comparing the effects of novel S1P receptor modulating agents, which may be a therapeutic option for patients with secondary progressive MS as well.
© 2018 John Wiley & Sons Ltd.

Entities:  

Keywords:  CD19+ B cells; fingolimod therapy; peripheral blood; relapsing-remitting multiple sclerosis; transcriptome microarray analysis

Mesh:

Substances:

Year:  2018        PMID: 29314605      PMCID: PMC6490155          DOI: 10.1111/cns.12793

Source DB:  PubMed          Journal:  CNS Neurosci Ther        ISSN: 1755-5930            Impact factor:   5.243


  52 in total

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Authors:  Rima Haddad; Philippe Guardiola; Brigitte Izac; Christelle Thibault; Jerry Radich; Anne-Lise Delezoide; Claude Baillou; François M Lemoine; Jean Claude Gluckman; Françoise Pflumio; Bruno Canque
Journal:  Blood       Date:  2004-08-26       Impact factor: 22.113

2.  Integration of MicroRNA databases to study MicroRNAs associated with multiple sclerosis.

Authors:  Charlotte Angerstein; Michael Hecker; Brigitte Katrin Paap; Dirk Koczan; Madhan Thamilarasan; Hans-Jürgen Thiesen; Uwe Klaus Zettl
Journal:  Mol Neurobiol       Date:  2012-05-02       Impact factor: 5.590

3.  Suppressed pro-inflammatory properties of circulating B cells in patients with multiple sclerosis treated with fingolimod, based on altered proportions of B-cell subpopulations.

Authors:  Yusei Miyazaki; Masaaki Niino; Toshiyuki Fukazawa; Eri Takahashi; Takayuki Nonaka; Itaru Amino; Jun Tashiro; Naoya Minami; Naoto Fujiki; Shizuki Doi; Seiji Kikuchi
Journal:  Clin Immunol       Date:  2014-02-14       Impact factor: 3.969

Review 4.  Sphingosine-1-phosphate receptor therapies: Advances in clinical trials for CNS-related diseases.

Authors:  Sinead O'Sullivan; Kumlesh K Dev
Journal:  Neuropharmacology       Date:  2016-11-04       Impact factor: 5.250

Review 5.  Protein tyrosine phosphatases in lymphocyte activation and autoimmunity.

Authors:  Inmoo Rhee; André Veillette
Journal:  Nat Immunol       Date:  2012-04-18       Impact factor: 25.606

Review 6.  Disease modifying therapies for relapsing multiple sclerosis.

Authors:  Dean M Wingerchuk; Brian G Weinshenker
Journal:  BMJ       Date:  2016-08-22

7.  Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria.

Authors:  Chris H Polman; Stephen C Reingold; Brenda Banwell; Michel Clanet; Jeffrey A Cohen; Massimo Filippi; Kazuo Fujihara; Eva Havrdova; Michael Hutchinson; Ludwig Kappos; Fred D Lublin; Xavier Montalban; Paul O'Connor; Magnhild Sandberg-Wollheim; Alan J Thompson; Emmanuelle Waubant; Brian Weinshenker; Jerry S Wolinsky
Journal:  Ann Neurol       Date:  2011-02       Impact factor: 10.422

Review 8.  Epstein-Barr virus and Burkitt lymphoma.

Authors:  Martin Rowe; Leah Fitzsimmons; Andrew I Bell
Journal:  Chin J Cancer       Date:  2014-11-21

9.  Massively parallel digital transcriptional profiling of single cells.

Authors:  Grace X Y Zheng; Jessica M Terry; Phillip Belgrader; Paul Ryvkin; Zachary W Bent; Ryan Wilson; Solongo B Ziraldo; Tobias D Wheeler; Geoff P McDermott; Junjie Zhu; Mark T Gregory; Joe Shuga; Luz Montesclaros; Jason G Underwood; Donald A Masquelier; Stefanie Y Nishimura; Michael Schnall-Levin; Paul W Wyatt; Christopher M Hindson; Rajiv Bharadwaj; Alexander Wong; Kevin D Ness; Lan W Beppu; H Joachim Deeg; Christopher McFarland; Keith R Loeb; William J Valente; Nolan G Ericson; Emily A Stevens; Jerald P Radich; Tarjei S Mikkelsen; Benjamin J Hindson; Jason H Bielas
Journal:  Nat Commun       Date:  2017-01-16       Impact factor: 14.919

10.  The UCSC Genome Browser database: 2017 update.

Authors:  Cath Tyner; Galt P Barber; Jonathan Casper; Hiram Clawson; Mark Diekhans; Christopher Eisenhart; Clayton M Fischer; David Gibson; Jairo Navarro Gonzalez; Luvina Guruvadoo; Maximilian Haeussler; Steve Heitner; Angie S Hinrichs; Donna Karolchik; Brian T Lee; Christopher M Lee; Parisa Nejad; Brian J Raney; Kate R Rosenbloom; Matthew L Speir; Chris Villarreal; John Vivian; Ann S Zweig; David Haussler; Robert M Kuhn; W James Kent
Journal:  Nucleic Acids Res       Date:  2016-11-29       Impact factor: 16.971

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  11 in total

1.  Transcriptome profiling of peripheral blood immune cell populations in multiple sclerosis patients before and during treatment with a sphingosine-1-phosphate receptor modulator.

Authors:  Ines C Angerer; Michael Hecker; Dirk Koczan; Luisa Roch; Jörg Friess; Annelen Rüge; Brit Fitzner; Nina Boxberger; Ina Schröder; Kristin Flechtner; Hans-Jürgen Thiesen; Alexander Winkelmann; Stefanie Meister; Uwe K Zettl
Journal:  CNS Neurosci Ther       Date:  2018-01-03       Impact factor: 5.243

2.  Predicting therapeutic response to fingolimod treatment in multiple sclerosis patients.

Authors:  Bibiana Quirant-Sánchez; José V Hervás-García; Aina Teniente-Serra; Luis Brieva; Ester Moral-Torres; Antonio Cano; Elvira Munteis; María J Mansilla; Silvia Presas-Rodriguez; Juan Navarro-Barriuso; Cristina Ramo-Tello; Eva M Martínez-Cáceres
Journal:  CNS Neurosci Ther       Date:  2018-04-15       Impact factor: 5.243

3.  Siponimod enriches regulatory T and B lymphocytes in secondary progressive multiple sclerosis.

Authors:  Qi Wu; Elizabeth A Mills; Qin Wang; Catherine A Dowling; Caitlyn Fisher; Britany Kirch; Steven K Lundy; David A Fox; Yang Mao-Draayer
Journal:  JCI Insight       Date:  2020-02-13

4.  Immunophenotype and Transcriptome Profile of Patients With Multiple Sclerosis Treated With Fingolimod: Setting Up a Model for Prediction of Response in a 2-Year Translational Study.

Authors:  Irene Moreno-Torres; Coral González-García; Marco Marconi; Aranzazu García-Grande; Luis Rodríguez-Esparragoza; Víctor Elvira; Elvira Ramil; Lucía Campos-Ruíz; Ruth García-Hernández; Fátima Al-Shahrour; Coral Fustero-Torre; Alicia Sánchez-Sanz; Antonio García-Merino; Antonio José Sánchez López
Journal:  Front Immunol       Date:  2018-07-25       Impact factor: 7.561

Review 5.  The role of NK and NKT cells in the pathogenesis and improvement of multiple sclerosis following disease-modifying therapies.

Authors:  Alireza Ahmadi; Zahra Fallah Vastani; Mahdi Abounoori; Mahdieh Azizi; Alireza Labani-Motlagh; Sajad Mami; Sanaz Mami
Journal:  Health Sci Rep       Date:  2022-01-24

6.  Transcriptomic Analysis of Peripheral Monocytes upon Fingolimod Treatment in Relapsing Remitting Multiple Sclerosis Patients.

Authors:  G Sferruzza; F Clarelli; E Mascia; L Ferrè; L Ottoboni; M Sorosina; S Santoro; L Moiola; V Martinelli; G Comi; F Martinelli Boneschi; M Filippi; P Provero; Federica Esposito
Journal:  Mol Neurobiol       Date:  2021-06-28       Impact factor: 5.590

Review 7.  The underpinning biology relating to multiple sclerosis disease modifying treatments during the COVID-19 pandemic.

Authors:  David Baker; Sandra Amor; Angray S Kang; Klaus Schmierer; Gavin Giovannoni
Journal:  Mult Scler Relat Disord       Date:  2020-05-12       Impact factor: 4.339

8.  Microarray data of transcriptome shifts in blood cell subsets during S1P receptor modulator therapy.

Authors:  Dirk Koczan; Brit Fitzner; Uwe Klaus Zettl; Michael Hecker
Journal:  Sci Data       Date:  2018-07-24       Impact factor: 6.444

Review 9.  CD56bright Natural Killer Cells: A Possible Biomarker of Different Treatments in Multiple Sclerosis.

Authors:  Alice Laroni; Antonio Uccelli
Journal:  J Clin Med       Date:  2020-05-13       Impact factor: 4.241

10.  Integrating the Ribonucleic Acid Sequencing Data From Various Studies for Exploring the Multiple Sclerosis-Related Long Noncoding Ribonucleic Acids and Their Functions.

Authors:  Zhijie Han; Jiao Hua; Weiwei Xue; Feng Zhu
Journal:  Front Genet       Date:  2019-11-12       Impact factor: 4.599

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