Application of pharmacogenomics and bioinformatics to exemplify the utility of human ex vivo organoculture models in the field of precision medicine

PLoS One. 2019 Dec 20;14(12):e0226564. doi: 10.1371/journal.pone.0226564. eCollection 2019.

Abstract

Here we describe a collaboration between industry, the National Health Service (NHS) and academia that sought to demonstrate how early understanding of both pharmacology and genomics can improve strategies for the development of precision medicines. Diseased tissue ethically acquired from patients suffering from chronic obstructive pulmonary disease (COPD), was used to investigate inter-patient variability in drug efficacy using ex vivo organocultures of fresh lung tissue as the test system. The reduction in inflammatory cytokines in the presence of various test drugs was used as the measure of drug efficacy and the individual patient responses were then matched against genotype and microRNA profiles in an attempt to identify unique predictors of drug responsiveness. Our findings suggest that genetic variation in CYP2E1 and SMAD3 genes may partly explain the observed variation in drug response.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aminopyridines / pharmacology
  • Aminopyridines / therapeutic use
  • Benzamides / pharmacology
  • Benzamides / therapeutic use
  • Cyclopropanes / pharmacology
  • Cyclopropanes / therapeutic use
  • Exome Sequencing
  • Fluticasone / pharmacology
  • Fluticasone / therapeutic use
  • Formoterol Fumarate / pharmacology
  • Formoterol Fumarate / therapeutic use
  • Genomics / methods*
  • Humans
  • Lung / chemistry
  • Lung / drug effects
  • Lung / growth & development*
  • MicroRNAs / genetics
  • Models, Biological
  • Organ Culture Techniques / methods*
  • Pharmacogenomic Variants*
  • Precision Medicine
  • Pulmonary Disease, Chronic Obstructive / drug therapy
  • Pulmonary Disease, Chronic Obstructive / genetics*
  • State Medicine

Substances

  • Aminopyridines
  • Benzamides
  • Cyclopropanes
  • MicroRNAs
  • Roflumilast
  • Fluticasone
  • Formoterol Fumarate

Associated data

  • figshare/10.6084/m9.figshare.10101371

Grants and funding

Funding for this study was via a project grant from Stratified Medicines Scotland Innovation Centre (SMS-IC, https://www.stratmed.co.uk/), provided to REPROCELL Europe Ltd (https://www.reprocell.com/) and the University of Dundee (https://www.dundee.ac.uk/). REPROCELL Europe, SMS-IC and Aridhia (https://www.aridhia.com/) provided in-kind contributions to research materials and staff costs (REPROCELL: KC, GM, MF and DCB; SMS IC: MM, CL, HC, LC; Aridhia: PB). Fios Genomics (https://www.fiosgenomics.com/) was sub-contracted by REPROCELL to conduct bioinformatics analysis. Sistemic (http://www.sistemic.co.uk/) was sub-contracted by REPROCELL to conduct RNA, DNA extractions and miRNA analysis. SMS-IC is funded by the Scottish Funding Council. The funding organisations did not play an additional role in the study design, data collection and analysis, decision to publish or preparation of the manuscript and only provided financial support in the form of authors’ salaries and research materials. The specific roles of the authors are articulated in the ‘authors contributions’ section.