- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04242420
Connexin Genotypes in Cystic Fibrosis
Impact of Connexin 37, Connexin 43 on Clinical Disease Phenotype in Delta F508 Homozygous Patients With Cystic Fibrosis (CF) (CF-Modifier)
Background: There is wide variety in lung disease phenotype for the delta F508 (homozygous) genotype. A leukocyte driven inflammation is most important for the pathogenesis of pulmonary disease in CF. Blood cytokines correlate negatively with pulmonary function in delta F508 homozygous patients. Gap junction proteins might be of importance for the influx of blood cells into the lung and may influence the course of pulmonary inflammation. A primary analysis (Horn et al. 2020) has shown that GJA4 variants (rs41266431) are linked to more severe disease in CF. This is very similar to variants of MBL.
Aims: To assess the relationship between gap junction proteins alpha 1 (GJA1/Connexin 43) and alpha 4 (GJA4/connexin 37) genotypes and clinical disease phenotype. Moreover are GJA4 variants in terms of clinical phenotype independent of MBL variants.
Methods:Patients homozygous for delta F508 get recruited from the CF centres of Bonn, Frankfurt and Amsterdam. Sequence analysis is performed for connexin 43 and 37 and MBL genotypes. Clinical disease is assessed longitudinally over 3 years by pulmonary function tests (FEV1 (forced expiratory volume in one second), FVC (=(forced vital capacity), FEF75 % (Forced expiratory flow at 75% of the pulmonary volume) pred), BMI (percentiles), P. aeruginosa colonization, diabetes mellitus and survival to end-stage CF lung disease (death or lung transplantation).
Study Overview
Status
Conditions
Detailed Description
Progressive pulmonary destruction is the major cause of morbidity and mortality in human subjects with cystic fibrosis. Many studies could not find an association between delta F 508 and severity of pulmonary disease . The most important factor in CF lung disease is an inflammation driven by leukocytes and cytokines. The investigators have provided evidence in former studies that cytokines (Interleukin-8 (IL-8), tumour necrosis factor (TNF) alpha, Lipopolysaccahride binding protein (LBP), transforming growth factor (TGF) ß)measured in blood correlate negatively with lung function in delta 508 homozygous patients.
The question arises, what other factors influence recruitment of proinflammatory leukocytes from blood capillaries into the lung .
Connexins are a family of transmembrane proteins, which oligomerize into hexameric structures to form a hemichannel (connexon) and ultimately pair with a partner hemichannel in an adjacent cell to form gap junction intercellular communication channels (GJIC) . There is evidence of expression of connexin 37 (=gap junction protein A4 (GJA4)) on macrophages in humans. Moreover there is evidence of expression of connexin 37 on vascular endothelia in humans . Connexin 37 is expressed on human neutrophils . Pulmonary disease in CF is dominated by a leukocyte driven inflammation. GAP junction proteins might be of importance for the influx of blood cells into the lung. In this regard, the hypothesis was that Cx37 or Cx43 genotypes have an impact on clinical disease phenotype in CF patients homozygous for delta F508. The first analysis (Horn et al 2020) has shown a clinical phenotype linked to the GJA4 genotype is very similar to MBL variants. In this regard the question arises whether there is a link between the MBL variant alleles and the GJA4 variants. Moreover some TGFbeta genotypes are linked to certain pulmonary phenotypes. So we are looking for interactions between Cx37 and TGFbeta genotypes and their impact on the clinical phenotype as well.
Study Type
Enrollment (Anticipated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Sabina Schmitt-Grohe, MD
- Phone Number: 004915254568942
- Email: s.schmitt-grohe@ukbonn.de
Study Locations
-
-
Hessia
-
Frankfurt, Hessia, Germany, 60590
- Recruiting
- University Hospital
-
Contact:
- Christina Smaczny, MD
- Phone Number: 4232 0049-69-6301
- Email: smaczny@em.uni-frankfurt.de
-
-
Nordrhine-Westphalia
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Bonn, Nordrhine-Westphalia, Germany, 53113
- Recruiting
- University Hospital
-
Contact:
- Sabina Schmitt-Grohe, MD
- Phone Number: 004915254568942
- Email: s.schmitt-grohe@ukbonn.de
-
-
-
-
-
Amsterdam, Netherlands
- Recruiting
- University Hospital
-
Contact:
- Anne Neerinx-vanStuvyenberg, PhD
- Email: a.vanstuyvenbergneerincx@amc.uva.nl
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
Homozygosity for delta F 508
Exclusion Criteria:
treatment with systemic steroids 14 days preceding this trial, participation in another study within the past 30 days, treatment with Orkambi or status after lung transplantation (for assessment of all parameters except survival).
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Other: Connexin genotype
Genotyping
|
Genotyping for single nucleotide polymorphisms for Connexin 37&43, Mannose binding lectin (MBL) and transforming growth factor beta (TGF beta) genotypes
Spirometry,
Bacterial culture from Sputum or swab
Interleukin-8 assay (via chemiluminescence) blood cell count
Interleukin-8 assay (via chemiluminescence) blood cell count
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Survival to end stage lung disease
Time Frame: through study completion, on average 27 years
|
End stage lung disease: Death or lung transplantation
|
through study completion, on average 27 years
|
Lung function parameter: FEV1
Time Frame: 3 years
|
Best FEV1 value in % predicted of the year according to German registry according to Global lung initiative (GLI)
|
3 years
|
Lung function parameters: FVC
Time Frame: 3 years
|
Best FVC value in % predicted of the year according to German registry according to Global lung initiative (GLI)
|
3 years
|
Lung function parameters: FEF75
Time Frame: 3 years
|
Best FEF75 value in % predicted of the year according to German registry according to Global lung initiative (GLI)
|
3 years
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Interleukin-8 in blood
Time Frame: through study completion, an average of 3 year
|
single spot value (cross-sectional)
|
through study completion, an average of 3 year
|
Interleukin-8 in sputum
Time Frame: through study completion, an average of 3 year
|
single spot value (cross-sectional)
|
through study completion, an average of 3 year
|
White blood cell count
Time Frame: through study completion, an average of 3 year
|
Leukocytes (single spot value (cross-sectional))
|
through study completion, an average of 3 year
|
Inflammatory markers in sputum
Time Frame: through study completion, an average of 3 year
|
Leukocyte count in sputum (single spot value (cross-sectional))
|
through study completion, an average of 3 year
|
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Colonisation with Pseudomonas aeruginosa
Time Frame: 3 years
|
Never, Intermittent or chronic according to Leeds criteria
|
3 years
|
CF related diabetes mellitus
Time Frame: through study completion, an average of 3 year
|
Assessment via patient charts/ registry
|
through study completion, an average of 3 year
|
Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: Sabina Schmitt-Grohe, MD, University Hospital, Bonn
Publications and helpful links
General Publications
- Drumm ML, Konstan MW, Schluchter MD, Handler A, Pace R, Zou F, Zariwala M, Fargo D, Xu A, Dunn JM, Darrah RJ, Dorfman R, Sandford AJ, Corey M, Zielenski J, Durie P, Goddard K, Yankaskas JR, Wright FA, Knowles MR; Gene Modifier Study Group. Genetic modifiers of lung disease in cystic fibrosis. N Engl J Med. 2005 Oct 6;353(14):1443-53. doi: 10.1056/NEJMoa051469.
- Cystic Fibrosis Genotype-Phenotype Consortium. Correlation between genotype and phenotype in patients with cystic fibrosis. N Engl J Med. 1993 Oct 28;329(18):1308-13. doi: 10.1056/NEJM199310283291804.
- McKone EF, Goss CH, Aitken ML. CFTR genotype as a predictor of prognosis in cystic fibrosis. Chest. 2006 Nov;130(5):1441-7. doi: 10.1378/chest.130.5.1441.
- Schmitt-Grohe S, Naujoks C, Bargon J, Wagner TO, Schubert R, Hippe V, Zielen S. Interleukin-8 in whole blood and clinical status in cystic fibrosis. Cytokine. 2005 Jan 7;29(1):18-23. doi: 10.1016/j.cyto.2004.09.004.
- Schmitt-Grohe S, Hippe V, Igel M, von Bergmann K, Posselt HG, Krahl A, Smaczny C, Wagner TO, Nikolazik W, Schubert R, Lentze MJ, Zielen S. Lipopolysaccharide binding protein, cytokine production in whole blood, and lipoproteins in cystic fibrosis. Pediatr Res. 2005 Nov;58(5):903-7. doi: 10.1203/01.PDR.0000182598.98167.24. Epub 2005 Sep 23.
- Schmitt-Grohe S, Stuber F, Book M, Bargon J, Wagner TO, Naujoks C, Schubert R, Lentze MJ, Zielen S. TNF-alpha promoter polymorphism in relation to TNF-alpha production and clinical status in cystic fibrosis. Lung. 2006 Mar-Apr;184(2):99-104. doi: 10.1007/s00408-005-2568-x.
- Eickmeier O, Boom Lv, Schreiner F, Lentze MJ, NGampolo D, Schubert R, Zielen S, Schmitt-Grohe S. Transforming growth factor beta1 genotypes in relation to TGFbeta1, interleukin-8, and tumor necrosis factor alpha in induced sputum and blood in cystic fibrosis. Mediators Inflamm. 2013;2013:913135. doi: 10.1155/2013/913135. Epub 2013 Aug 26.
- Dempsie Y, Martin P, Upton PD. Connexin-mediated regulation of the pulmonary vasculature. Biochem Soc Trans. 2015 Jun;43(3):524-9. doi: 10.1042/BST20150030.
- Chanson M, Derouette JP, Roth I, Foglia B, Scerri I, Dudez T, Kwak BR. Gap junctional communication in tissue inflammation and repair. Biochim Biophys Acta. 2005 Jun 10;1711(2):197-207. doi: 10.1016/j.bbamem.2004.10.005. Epub 2004 Oct 30.
- Kwak BR, Mulhaupt F, Veillard N, Gros DB, Mach F. Altered pattern of vascular connexin expression in atherosclerotic plaques. Arterioscler Thromb Vasc Biol. 2002 Feb 1;22(2):225-30. doi: 10.1161/hq0102.104125.
- Zahler S, Hoffmann A, Gloe T, Pohl U. Gap-junctional coupling between neutrophils and endothelial cells: a novel modulator of transendothelial migration. J Leukoc Biol. 2003 Jan;73(1):118-26. doi: 10.1189/jlb.0402184.
- Saez PJ, Shoji KF, Aguirre A, Saez JC. Regulation of hemichannels and gap junction channels by cytokines in antigen-presenting cells. Mediators Inflamm. 2014;2014:742734. doi: 10.1155/2014/742734. Epub 2014 Sep 9.
- Horn T, Ludwig M, Eickmeier O, Neerinex AH, Maitland-van der Zee AH, Smaczny C, Wagner TOF, Schubert R, Zielen S, Majoor C, Bos LD, Schmitt-Grohe S. Impact of a Gap Junction Protein Alpha 4 Variant on Clinical Disease Phenotype in F508del Homozygous Patients With Cystic Fibrosis. Front Genet. 2020 Oct 28;11:570403. doi: 10.3389/fgene.2020.570403. eCollection 2020.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- BN 178/01
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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