Ontology highlight
ABSTRACT:
PROVIDER: PRJNA599290 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR10839100_1.fastq.gz | Fastqsanger.gz | |||
| SRR10839100_2.fastq.gz | Fastqsanger.gz | |||
| SRR10839200_1.fastq.gz | Fastqsanger.gz | |||
| SRR10839200_2.fastq.gz | Fastqsanger.gz | |||
| SRR10839101_1.fastq.gz | Fastqsanger.gz |
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Project description:Cystic fibrosis (CF) remains a life-shortening disease without a definitive cure. Novel therapeutics targeting the causative defect in the cystic fibrosis transmembrane conductance regulator (CFTR) gene are now in clinical use. Lumacaftor/ivacaftor is a CFTR modulator approved for patients homozygous for the CFTR mutation 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. 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 with clinical variables was performed by stratification via clinical responses. We identified 491 genes that were differentially expressed in CF patients (pre-drug) compared with non-CF controls. In addition, 36 genes were differentially expressed when comparing pre-drug to post-drug profiles within CF patients. Transcriptomics revealed novel pathways in CF patients at baseline compared to non-CF, and in clinical responders to lumacaftor/ivacaftor. Overall changes in gene expression post-lumacaftor/ivacaftor were modest compared to pre-drug CF profiles.
2019-01-03 | GSE124548 | GEO
Project description:Transcriptomic Responses to Lumacaftor/Ivacaftor Therapy in Cystic Fibrosis
| PRJNA512474 | ENA
Project description:Cystic fibrosis (CF) is an inherited, multi-system disease caused by dysfunction of the cystic fibrosis transmembrane conductance regulator (CFTR) protein, a ubiquitous ion channel important for epithelial hydration. A direct consequence of this dysfunction is impaired mucociliary clearance, chronic airway infection and a persistent neutrophilic inflammatory response that results in progressive loss of lung function, development of respiratory failure and premature death. Partial restoration of CFTR function is now possible for most CF patients through mutation specific CFTR modulators. Ivacaftor monotherapy produces significant clinical improvement in CF patients with the G511D mutation. Dual therapy, combining ivacaftor with lumacaftor or tezacaftor, results in modest clinical improvements in patients homozygous for F508del. More recently, triple therapy with elexacaftor/tezacaftor/ivacaftor (ETI) has led to dramatic improvements in lung function and quality of life in patients homozygous and heterozygous for F508del. Sputum proteomics is a powerful research technique capable of identifying important airway disease mechanisms by interrogating the proteome, an entire set of proteins within biological samples. It has confirmed the central role of neutrophilic immune dysregulation in CF and non-CF bronchiectasis, particularly involving the release of antimicrobial proteins and neutrophil-extracellular traps (NETs), and through impaired anti-inflammatory mechanisms. These processes produce distinct molecular signatures within the sputum proteome that become increasingly abnormal with chronic airway infection and progressive lung disease severity. In CF patients, airway and systemic inflammatory cytokines potentially related to these signatures reduce with the various forms of CFTR modulation. To date, no studies of ETI therapy in CF lung disease have assessed large-scale change in protein expression using untargeted proteomics. We hypothesised that ETI therapy would shift the sputum proteome toward health, potentially normalising airway biology in people with CF. The objectives of this study were to investigate changes in the CF sputum proteome with the introduction of ETI, correlate these with changes in clinical markers of disease severity, and make comparisons with the sputum proteome in healthy controls and in repeat samples from CF patients not suitable for ETI therapy. We also explored which molecular pathways associated with CF lung disease did not change with ETI.
2023-11-14 | PXD041950 | Pride
Project description:Background: Respiratory viruses including rhinovirus can cause pulmonary exacerbations in cystic fibrosis (CF). Aberrant responses by the CF airway epithelium during rhinovirus infection, particularly interferon production, may underly the clinical observations. Whether CFTR modulators affect antiviral responses by CF epithelia is presently unknown. We tested the hypothesis that treatment of CF epithelial cells with Ivacaftor or ivacaftor/lumacaftor (Orkambi) would improve control of rhinovirus infection. Methods: Nineteen CF epithelial cultures (CFTR Class 2: 10 homozygous for p.Phe508del, CFTR Class 3: 9 p.Phe508del/p.Gly551Asp) were infected with rhinovirus 1B at multiplicity of infection 12 for 24 hours. Culture RNA and supernatants were harvested to assess gene and protein expression respectively. Results: RNA-seq analysis comparing rhinovirus infected cultures to control identified 796 and 629 differentially expressed genes for Class 2 and Class 3, respectively. This gene response was highly conserved when cells were treated; all infected cultures (+/- treatment) were associated with the same top three over-represented biological pathways associated with interferon signalling, and were predicted to be driven by the same interferon-pathway transcriptional regulators (IFNA, IFNL1, IFNG, IRF7, STAT1). Direct comparisons between treated and untreated infected cultures did not yield any differentially expressed genes for Class 3, and only 68 genes for Class 2, related to cell metabolic pathways. In addition, CFTR modulators did not affect viral copy number, or levels of pro-inflammatory cytokines produced post-infection. Conclusions: Though long term clinical data is not yet available, results presented here suggest CFTR modulators do not interfere with core airway epithelial responses to rhinovirus infection.
2020-09-01 | GSE139078 | GEO
Project description:The occurrence of attention deficit-hyperactivity disorder (ADHD) symptoms in patients with cystic fibrosis (CF) is substantially higher than in the general population, and the cystic fibrosis transmembrane conductance regulator (CFTR) is the pathogenic gene of cystic fibrosis, suggesting the potentially critical role of CFTR in ADHD. Here, we identified three heterozygous missense mutations (p.E217G, p.F316L and p.T1220I) in CFTR, segregating with ADHD in two consanguineous families with 6 affected individuals. Using the zebrafish model, we found that the cftr knockout line displays hyperactive, impulsive-like, and attention deficit-like behaviors, reminiscent of human ADHD patients. Single-cell RNA-seq of 7 dpf larvae identified clusters of neuron cells that were sensitive to cftr, especially, the number of dopaminergic neuron cells decreased in the cftr mutant fish. Bulk RNA-seq and proteomic analysis at the early gastrulation period showed that the expression of nerve system genes was abnormal. Notably, we tried to use CFTR activitors Lumacaftor (VX-809) and Ivacaftor (VX-770) to treat the ADHD zebrafish model (established by per1b mutant), and found enhanced CFTR activity could rescue the ADHD-like behaviors. In brief, we uncover the role of CFTR in ADHD pathogenesis and explore novel diagnoses and therapy for ADHD by targeting CFTR.
2024-12-16 | GSE284214 | GEO
Project description:Rationale: Ivacaftor is a recently FDA-approved drug for the treatment of cystic fibrosis (CF) patients with at least one copy of the G511D mutation in the cystic fibrosis transmembrane conductance regulator (CFTR) gene. The transcriptomic effect of Ivacaftor in CF patients remains unclear. Objectives: We aim to examine if and how the transcriptome of patients is influenced by Ivacaftor treatment and to determine if these data allow prediction of Ivacaftor responsiveness. Methods: We performed RNA-sequencing (RNA-seq) on PBMCs from CF patients and compared the transcriptomic changes before and after Ivacaftor treatments. Consensus clustering method is employed to stratify patients into sub-groups based on clinical responses post treatment, and determined differences in baseline gene expression. A random forest model is built to predict Ivacaftor responsiveness. Measurement and Main Results: We identified 239 genes that were significantly influenced by Ivacaftor in PBMC. The functions of these genes relate to cell differentiation, microbial infection, inflammation, Toll-like receptor signaling, and metabolism. We classified patients into “good” and “moderate” responders based on clinical response to Ivacraftor. We identified a panel of signature genes and built a statistical model for predicting CFTR modulator responsiveness. Despite a limited sample size, adequate prediction performance was achieved with an accuracy of 0.92. Conclusions: For the first time, the present study demonstrates profound transcriptomic impacts of Ivafactor in CF patients PBMCs and successfully built a statistical model for predicting the clinical responsiveness to Ivacaftor prior to treatment.
2019-08-27 | GSE128723 | GEO
Project description:Lumacaftor-ivacaftor reshapes the gut-lung axis in 2- to 11-year-old children with cystic fibrosis
| PRJEB82774 | ENA
Project description:In cystic fibrosis (CF), loss of CF transmembrane conductance regulator (CFTR)-dependent bicarbonate secretion precipitates the accumulation of viscous mucus in the lumen of respiratory and gastrointestinal epithelial tissues. We investigated whether the combination of elexacaftor (ELX), ivacaftor (IVA) and tezacaftor (TEZ), apart from its well-documented effect on Phe508del-CFTR-mediated chloride transport, also restores bicarbonate transport.
2021-12-14 | GSE182347 | GEO
Project description:Airway microbiota and inflammation under Lumacaftor-ivacaftor
| PRJEB53549 | ENA
Project description:Effect of ivacaftor on cystic fibrosis respiratory microbiota composition
| PRJNA387622 | ENA