Dataset Information

Association Between Cystic Fibrosis Severity Markers and CFTR Genotypes in Turkish Children.

ABSTRACT:

Objective

To compare class I/II cystic fibrosis transmembrane conductance regulator (CFTR) mutations to class III-V mutations with regards to cystic fibrosis disease severity markers in children.

Material and methods

This study was designed as a cross-sectional study in Antalya province, located on the south coast of Turkey. The study included 38 cystic fibrosis patients aged between 0.6 and 18 years. The CFTR genotype of the patients was categorized into 2 groups based on the presence or absence of class I or class II mutations in any of the alleles. Group I comprised 8 homozygous, 8 with unknown alleles, and 8 compound heterozygous patients, and group II comprised 11 homozygous and 3 compound heterozygous patients. The groups were analyzed in respect of cystic fibrosis disease severity markers, such as spirometry, ShwachmanKulczycki score, body mass index (BMI), sweat chloride concentration, chronic Pseudomonas aeruginosa infection, annual exacerbation frequency, and severe exacerbations requiring hospitalization during the previous year.

Results

In the comparison of group I and group II patients, a significant difference was observed in pancreas insufficiency (83.3% vs. 35.7%; P = .005), chronic P. aeruginosa infection (58.3% vs. 7.1%; P = .002), cough severity score (1.7 ± 1.1 vs. 0.9 ± 1.5; P = .029), number of severe exacerbations requiring hospitalization during the previous year (0.9 ± 1 vs. 0.3 ± 0.8; P = .03), and sweat chloride levels (76.7 ± 15.2 vs. 61 ± 22.3; P = .02). All these values were higher in group I patients. The mean BMI values (15.8 ± 2.2 vs. 17.6 ± 2.8; P = .03) were lower in group I patients.

Conclusion

There seems to be a difference between class I/II CFTR mutations and class III-V mutations on the severity of the disease in cystic fibrosis patients.

SUBMITTER: Basaran AE

PROVIDER: S-EPMC8975339 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature

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Publications

Association Between Cystic Fibrosis Severity Markers and CFTR Genotypes in Turkish Children.

Başaran Abdurrahman Erdem AE Başaran Ayşen A Kocacik Uygun Dilara Fatma DF Yılmaz Elanur E Moballegh Asef A Öz Latife L Alper Özgül Ö Bingöl Ayşen A

Turkish thoracic journal 20211101 6

<h4>Objective</h4>To compare class I/II cystic fibrosis transmembrane conductance regulator (CFTR) mutations to class III-V mutations with regards to cystic fibrosis disease severity markers in children.<h4>Material and methods</h4>This study was designed as a cross-sectional study in Antalya province, located on the south coast of Turkey. The study included 38 cystic fibrosis patients aged between 0.6 and 18 years. The CFTR genotype of the patients was categorized into 2 groups based on the pre ...[more]

PMID: 35110256

Similar Datasets

Project description:BackgroundF508del-CFTR, the most frequent disease-causing mutation among Caucasian cystic fibrosis (CF) patients, has been characterised as a mutant defective in protein folding, processing and trafficking. We have investigated the two neighbouring cytokeratin genes KRT8 and KRT18 in a candidate gene approach to ask whether variants in KRT8 and/or KRT18 modify the impaired ion conductance known as the CF basic defect, and whether they are associated with correct trafficking of mutant CFTR and disease severity of CF.MethodsWe have selected contrasting F508del-CFTR homozygous patient subpopulations stratified for disease severity, comparing 13 concordant mildly affected sib pairs vs. 12 concordant severely affected sib pairs, or manifestation of the CF basic defect in intestinal epithelium, comparing 22 individuals who exhibit CFTR-mediated residual chloride secretion vs. 14 individuals who do not express any chloride secretion, for an association. The KRT8/KRT18 locus was initially interrogated with one informative microsatellite marker. Subsequently, a low density SNP map with four SNPs in KRT8 and two SNPs in KRT18, each selected for high polymorphism content, was used to localize the association signal.ResultsKRT8, but not KRT18, showed an association with CF disease severity (Pbest=0.00131; Pcorr=0.0185) and CFTR mediated residual chloride secretion (Pbest=0.0004; Pcorr=0.0069). Two major four-marker-haplotypes spanning 13 kb including the entire KRT8 gene accounted for 90% of chromosomes, demonstrating strong linkage disequilibrium at that locus. Absence of chloride secretion was associated with the recessive haplotype 1122 at rs1907671, rs4300473, rs2035878 and rs2035875. The contrasting haplotype 2211 was dominant for the presence of CFTR mediated residual chloride secretion. In consistency, the KRT8 haplotype 2211 was associated with mild CF disease while 1122 was observed as risk haplotype. Analysis of microsatellite allele distributions on the SNP background suggests that the mild KRT8 haplotype 2211 is phylogenetically older than its severe counterpart.ConclusionsThe two opposing KRT8 alleles which have been identified as a benign and as a risk allele in this work are likely effective in the context of epithelial cell differentiation. As the mild KRT8 allele is associated with CFTR mediated residual chloride secretion among F508del-CFTR homozygotes, the KRT8/KRT18 heterodimeric intermediary filaments of the cytoskeleton apparently are an essential component for the proper targeting of CFTR to the apical membrane in epithelial cells.

Project description:BackgroundSome infants undergoing newborn screening (NBS) tests have inconclusive sweat chloride test (SCT) results that lead to the designation of Cystic Fibrosis Screen Positive, Inconclusive Diagnosis/CFTR-related metabolic syndrome (CFSPID/CRMS). Some proportion of them transition to a CF diagnosis, but no predictive markers can stratify which are at risk for this transition. We report single-center outcomes of children with CRMS.MethodsWe retrospectively identified all infants born in Alabama from 2008 through 2020 referred to our CF Center with an elevated immunoreactive trypsinogen level (IRT) associated with a cystic fibrosis transmembrane conductance regulator (CFTR) mutation (IRT+/DNA+) who had at least one SCT result documented. Infants were classified per established guidelines as Carrier, CRMS, or CF based on the IRT+/DNA+ and SCT results. The electronic health record was reviewed for follow-up visits until the children received a definitive diagnosis (to carrier or CF) according to current diagnostic guidelines for CF, or through the end of the 2020 year.ResultsOf the 1,346 infants with IRT+ and at least 1 CFTR mutation identified (IRT+/DNA+), 63 (4.7%) were designated as CRMS. Of these infants, 12 (19.1%) transitioned to Carrier status (CRMS-Carrier), 40 (63.5%) of them remained CRMS status (CRMS-Persistent) and 11 (17.5%) of them transitioned to a diagnosis of CF (CRMS-CF). Of the 11 children in the CRMS-CF group, 4 (36%) had an initial SCT 30-39 mmol/L, 4 (36%) had an initial SCT 40-49 mmol/L and 3 (27%) had an initial SCT 50-59 mmol/L. These children also had higher initial sweat tests and greater yearly increases in sweat chloride values than others with CRMS. We found that in comparison to children in the CRMS-P group, a greater proportion of children in the CRMS-CF group cultured bacteria like methicillin-resistant Staphylococcus aureus, Stenotrophomonas maltophilia, and Pseudomonas aeruginosa, had smaller weight-for-height percentiles and remained smaller over time despite slightly greater growth.ConclusionInfants with an inconclusive diagnosis of CF should continue to receive annual care and management given their potential risk of transition to CF. Further research is needed to assess whether certain phenotypic patterns, clinical symptoms, diagnostic tests or biomarkers could better stratify these children.

Dataset Information

Association Between Cystic Fibrosis Severity Markers and CFTR Genotypes in Turkish Children.

Objective

Material and methods

Results

Conclusion

Publications

Association Between Cystic Fibrosis Severity Markers and CFTR Genotypes in Turkish Children.

Similar Datasets

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