» Articles » PMID: 31474496

Whole-blood Transcriptomic Responses to Lumacaftor/ivacaftor Therapy in Cystic Fibrosis

Abstract

Background: Cystic fibrosis (CF) remains without a definitive cure. Novel therapeutics targeting the causative defect in the cystic fibrosis transmembrane conductance regulator (CFTR) gene are in clinical use. Lumacaftor/ivacaftor is a CFTR modulator approved for patients homozygous for the CFTR variant p.Phe508del, but there are wide variations in treatment responses preventing prediction of patient responses. We aimed to determine changes in gene expression related to treatment initiation and response.

Methods: Whole-blood transcriptomics was performed using RNA-Seq in 20 patients with CF pre- and 6 months post-lumacaftor/ivacaftor (drug) initiation and 20 non-CF healthy controls. Correlation of gene expression with clinical variables was performed by stratification via clinical responses.

Results: We identified 491 genes that were differentially expressed in CF patients (pre-drug) compared with non-CF controls and 36 genes when comparing pre-drug to post-drug profiles. Both pre- and post-drug CF profiles were associated with marked overexpression of inflammation-related genes and apoptosis genes, and significant under-expression of T cell and NK cell-related genes compared to non-CF. CF patients post-drug demonstrated normalized protein synthesis expression, and decreased expression of cell-death genes compared to pre-drug profiles, irrespective of clinical response. However, CF clinical responders demonstrated changes in eIF2 signaling, oxidative phosphorylation, IL-17 signaling, and mitochondrial function compared to non-responders. Top overexpressed genes (MMP9 and SOCS3) that decreased post-drug were validated by qRT-PCR. Functional assays demonstrated that CF monocytes normalized calcium (increases MMP9 expression) concentrations post-drug.

Conclusions: Transcriptomics revealed differentially regulated pathways in CF patients at baseline compared to non-CF, and in clinical responders to lumacaftor/ivacaftor.

Citing Articles

Proteomics profiling of inflammatory responses to elexacaftor/tezacaftor/ivacaftor in cystic fibrosis.

Ozuna H, Bojja D, Partida-Sanchez S, Hall-Stoodley L, Amer A, Britt Jr R Front Immunol. 2025; 16:1486784.

PMID: 39935472 PMC: 11811078. DOI: 10.3389/fimmu.2025.1486784.


Isolating high-quality RNA for RNA-Seq from 10-year-old blood samples.

Portelli C, Seria E, Attard R, Barzine M, Esquinas-Roman E, Borg Carbott F Sci Rep. 2024; 14(1):30716.

PMID: 39730418 PMC: 11681174. DOI: 10.1038/s41598-024-80287-4.


Gene expression responses of CF airway epithelial cells exposed to elexacaftor/tezacaftor/ivacaftor suggest benefits beyond improved CFTR channel function.

Hampton T, Barnaby R, Roche C, Nymon A, Fukutani K, MacKenzie T Am J Physiol Lung Cell Mol Physiol. 2024; 327(6):L905-L916.

PMID: 39437760 PMC: 11684945. DOI: 10.1152/ajplung.00272.2024.


Nasal Epithelium Transcriptomics Predict Clinical Response to Elexacaftor/Tezacaftor/Ivacaftor.

Yue M, Weiner D, Gaietto K, Rosser F, Qoyawayma C, Manni M Am J Respir Cell Mol Biol. 2024; 71(6):730-739.

PMID: 39028582 PMC: 11622631. DOI: 10.1165/rcmb.2024-0103OC.


Quantitative and Longitudinal Assessment of Systemic Innate Immunity in Health and Disease Using a 2D Gene Model.

Lei H Biomedicines. 2024; 12(5).

PMID: 38790931 PMC: 11117654. DOI: 10.3390/biomedicines12050969.


References
1.
Devereux G, Steele S, Jagelman T, Fielding S, Muirhead R, Brady J . An observational study of matrix metalloproteinase (MMP)-9 in cystic fibrosis. J Cyst Fibros. 2014; 13(5):557-63. DOI: 10.1016/j.jcf.2014.01.010. View

2.
Jiang K, Poppenberg K, Wong L, Chen Y, Borowitz D, Goetz D . RNA sequencing data from neutrophils of patients with cystic fibrosis reveals potential for developing biomarkers for pulmonary exacerbations. J Cyst Fibros. 2018; 18(2):194-202. PMC: 6309595. DOI: 10.1016/j.jcf.2018.05.014. View

3.
Kopp B, Thompson R, Kim J, Konstan R, Diaz A, Smith B . Secondhand smoke alters arachidonic acid metabolism and inflammation in infants and children with cystic fibrosis. Thorax. 2019; 74(3):237-246. PMC: 7642975. DOI: 10.1136/thoraxjnl-2018-211845. View

4.
Elborn J . Cystic fibrosis. Lancet. 2016; 388(10059):2519-2531. DOI: 10.1016/S0140-6736(16)00576-6. View

5.
Chaussabel D, Baldwin N . Democratizing systems immunology with modular transcriptional repertoire analyses. Nat Rev Immunol. 2014; 14(4):271-80. PMC: 4118927. DOI: 10.1038/nri3642. View