Literature DB >> 33644088

Molecular Analysis of IL-5 Receptor Subunit Alpha as a Possible Pharmacogenetic Biomarker in Asthma.

Sandra Elena-Pérez1, David Hansoe Heredero-Jung1, Asunción García-Sánchez2,3,4, Miguel Estravís2,3,4, Maria J Martin2,4, Jacinto Ramos-González5, Juan Carlos Triviño6, María Isidoro-García1,2,4,7, Catalina Sanz2,4,8, Ignacio Dávila2,3,4,9.   

Abstract

Background: Asthma is a heterogeneous syndrome with a broad clinical spectrum and high drug response variability. The inflammatory response in asthma involves multiple effector cells and mediator molecules. Based on asthma immunopathogenesis, precision medicine can be a promising strategy for identifying biomarkers. Biologic therapies acting on the IL-5/IL-5 receptor axis have been developed. IL-5 promotes proliferation, differentiation and activation of eosinophils by binding to the IL-5 receptor, located on the surface of eosinophils and basophils. This study aimed to investigate the expression of IL5RA in patients with several types of asthma and its expression after treatment with benralizumab, a biologic directed against IL-5 receptor subunit alpha.
Methods: Sixty peripheral blood samples, 30 from healthy controls and 30 from asthmatic patients, were selected for a transcriptomic RNAseq study. Differential expression analysis was performed by statistical assessment of fold changes and P-values. A validation study of IL5RA expression was developed using qPCR in 100 controls and 187 asthmatic patients. The effect of benralizumab on IL5RA expression was evaluated in five patients by comparing expression levels between pretreatment and after 3 months of treatment. The IL5RA mRNA levels were normalized to GAPDH and TBP expression values for each sample. Calculations were made by the comparative ΔΔCt method. All procedures followed the MIQE guidelines.
Results: IL5RA was one of the most differentially overexpressed coding transcripts in the peripheral blood of asthmatic patients (P = 8.63E-08 and fold change of 2.22). In the qPCR validation study, IL5RA expression levels were significantly higher in asthmatic patients than in controls (P < 0.001). Significant expression differences were present in different asthmatic types. In the biological drug study, patients treated with benralizumab showed a significant decrease in IL5RA expression and blood eosinophil counts. A notable improvement in ACT and lung function was also observed in these patients. Conclusions: These results indicate that IL5RA is overexpressed in patients with different types of asthma. It could help identify which asthmatic patients will respond more efficiently to benralizumab, moving toward a more personalized asthma management. Although further studies are required, IL5RA could play a role as a biomarker and pharmacogenetic factor in asthma.
Copyright © 2021 Elena-Pérez, Heredero-Jung, García-Sánchez, Estravís, Martin, Ramos-González, Triviño, Isidoro-García, Sanz and Dávila.

Entities:  

Keywords:  IL5RA; asthma; benralizumab; pharmacogenetic biomarker; precision medicine; transcriptomic

Year:  2021        PMID: 33644088      PMCID: PMC7904892          DOI: 10.3389/fmed.2020.624576

Source DB:  PubMed          Journal:  Front Med (Lausanne)        ISSN: 2296-858X


  45 in total

1.  Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

Authors:  K J Livak; T D Schmittgen
Journal:  Methods       Date:  2001-12       Impact factor: 3.608

2.  The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments.

Authors:  Stephen A Bustin; Vladimir Benes; Jeremy A Garson; Jan Hellemans; Jim Huggett; Mikael Kubista; Reinhold Mueller; Tania Nolan; Michael W Pfaffl; Gregory L Shipley; Jo Vandesompele; Carl T Wittwer
Journal:  Clin Chem       Date:  2009-02-26       Impact factor: 8.327

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Authors:  Anne M Fitzpatrick; Wendy C Moore
Journal:  J Allergy Clin Immunol Pract       Date:  2017 Jul - Aug

4.  Severe eosinophilic asthma: a roadmap to consensus.

Authors:  Roland Buhl; Marc Humbert; Leif Bjermer; Pascal Chanez; Liam G Heaney; Ian Pavord; Santiago Quirce; Johann C Virchow; Stephen Holgate
Journal:  Eur Respir J       Date:  2017-05-01       Impact factor: 16.671

5.  Inhibition of experimental asthma by indoleamine 2,3-dioxygenase.

Authors:  Tomoko Hayashi; Lucinda Beck; Cyprian Rossetto; Xing Gong; Osamu Takikawa; Kenji Takabayashi; David H Broide; Dennis A Carson; Eyal Raz
Journal:  J Clin Invest       Date:  2004-07       Impact factor: 14.808

Review 6.  IL-5- and eosinophil-mediated inflammation: from discovery to therapy.

Authors:  Taku Kouro; Kiyoshi Takatsu
Journal:  Int Immunol       Date:  2009-10-09       Impact factor: 4.823

Review 7.  Exhaled Nitric Oxide: An Update.

Authors:  Flavia C L Hoyte; Lara M Gross; Rohit K Katial
Journal:  Immunol Allergy Clin North Am       Date:  2018-09-21       Impact factor: 3.479

8.  HTSeq--a Python framework to work with high-throughput sequencing data.

Authors:  Simon Anders; Paul Theodor Pyl; Wolfgang Huber
Journal:  Bioinformatics       Date:  2014-09-25       Impact factor: 6.937

Review 9.  Eosinophils Target Therapy for Severe Asthma: Critical Points.

Authors:  L Brussino; E Heffler; C Bucca; S Nicola; G Rolla
Journal:  Biomed Res Int       Date:  2018-10-25       Impact factor: 3.411

10.  A Severe Asthma Disease Signature from Gene Expression Profiling of Peripheral Blood from U-BIOPRED Cohorts.

Authors:  Jeannette Bigler; Michael Boedigheimer; James P R Schofield; Paul J Skipp; Julie Corfield; Anthony Rowe; Ana R Sousa; Martin Timour; Lori Twehues; Xuguang Hu; Graham Roberts; Andrew A Welcher; Wen Yu; Diane Lefaudeux; Bertrand De Meulder; Charles Auffray; Kian F Chung; Ian M Adcock; Peter J Sterk; Ratko Djukanović
Journal:  Am J Respir Crit Care Med       Date:  2017-05-15       Impact factor: 21.405

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  2 in total

1.  Integration of CD34+CD117dim population signature improves the prognosis prediction of acute myeloid leukemia.

Authors:  Xue-Ping Li; Wei-Na Zhang; Jia-Ying Mao; Bai-Tian Zhao; Lu Jiang; Yan Gao
Journal:  J Transl Med       Date:  2022-08-12       Impact factor: 8.440

2.  Gene-Based Variant Analysis of Whole-Exome Sequencing in Relation to Eosinophil Count.

Authors:  Julia Höglund; Fatemeh Hadizadeh; Weronica E Ek; Torgny Karlsson; Åsa Johansson
Journal:  Front Immunol       Date:  2022-07-22       Impact factor: 8.786

  2 in total

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