Dataset Information

CRMS/CFSPID Subjects Carrying D1152H CFTR Variant: Can the Second Variant Be a Predictor of Disease Development?

ABSTRACT:

Background

There are no predictive factors of evolution of cystic fibrosis (CF) screen positive inconclusive diagnosis subjects (CFSPIDs).

Aim

to define the role of the second CFTR variant as a predictive factor of disease evolution in CFSPIDs carrying the D1152H variant.

Methods

We retrospectively evaluated clinical characteristics and outcome of CFSPIDs carrying the D1152H variant followed at five Italian CF centers. CFSPIDs were divided in two groups: Group A: compound heterozygous for D1152H and a CF-causing variant; Group B: compound heterozygous for D1152H and a: (i) non CF-causing variant, (ii) variant with varying clinical consequences, or (iii) variant with unknown significance. The variants were classified according to CFTR2 mutation database.

Results

We enrolled 43 CFSPIDs with at least one D1152H variant: 28 (65.1%) were classified in the group A, and 15 (34.9%) in the Group B. CFSPIDs of group A had the first IRT significantly higher compared to those of group B (p < 0.05) and had a more severe clinical outcome during the follow-up. At the end of the study period, after a mean follow-up of 40.6 months (range 6-91.6), 4 (9.3%) out of 43 CFSPIDs progressed to CFTR-RD or CF. All these subjects were in the group A.

Conclusions

The genetic profile could help predict the risk of disease evolution in CFSPIDs carrying D1152H, revealing the subjects that need a more frequent follow-up.

SUBMITTER: Terlizzi V

PROVIDER: S-EPMC7764752 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

CRMS/CFSPID Subjects Carrying D1152H CFTR Variant: Can the Second Variant Be a Predictor of Disease Development?

Terlizzi Vito V Padoan Rita R Claut Laura L Colombo Carla C Fabrizzi Benedetta B Lucarelli Marco M Bruno Sabina Maria SM Castaldo Alice A Bonomi Paolo P Taccetti Giovanni G Tosco Antonella A

Diagnostics (Basel, Switzerland) 20201212 12

<h4>Background</h4>There are no predictive factors of evolution of cystic fibrosis (CF) screen positive inconclusive diagnosis subjects (CFSPIDs).<h4>Aim</h4>to define the role of the second <i>CFTR</i> variant as a predictive factor of disease evolution in CFSPIDs carrying the D1152H variant.<h4>Methods</h4>We retrospectively evaluated clinical characteristics and outcome of CFSPIDs carrying the D1152H variant followed at five Italian CF centers. CFSPIDs were divided in two groups: Group A: com ...[more]

PMID: 33322690

Similar Datasets

Project description:Cystic Fibrosis (CF) is an inherited disease caused by mutations in the cystic fibrosis transmembrane conductance regulator (CFTR) ion channel. Mutations in CFTR cause impaired chloride ion transport in the epithelial tissues of patients leading to cardiopulmonary decline and pancreatic insufficiency in the most severely affected patients. CFTR is composed of twelve membrane-spanning domains, two nucleotide-binding domains (NBDs), and a regulatory domain. The most common mutation in CFTR is a deletion of phenylalanine at position 508 (ΔF508) in NBD1. Previous research has primarily concentrated on the structure and dynamics of the NBD1 domain; However numerous pathological mutations have also been found in the lesser-studied NBD2 domain. We have investigated the amino acid co-evolved network of interactions in NBD2, and the changes that occur in that network upon the introduction of CF and CF-related mutations (S1251N(T), S1235R, D1270N, N1303K(T)). Extensive coupling between the α- and β-subdomains were identified with residues in, or near Walker A, Walker B, H-loop and C-loop motifs. Alterations in the predicted residue network varied from moderate for the S1251T perturbation to more severe for N1303T. The S1235R and D1270N networks varied greatly compared to the wildtype, but these CF mutations only affect ion transport preference and do not severely disrupt CFTR function, suggesting dynamic flexibility in the network of interactions in NBD2. Our results also suggest that inappropriate interactions between the β-subdomain and Q-loop could be detrimental. We also identified mutations predicted to stabilize the NBD2 residue network upon introduction of the CF and CF-related mutations, and these predicted mutations are scored as benign by the MUTPRED2 algorithm. Our results suggest the level of disruption of the co-evolution predictions of the amino acid networks in NBD2 does not have a straightforward correlation with the severity of the CF phenotypes observed.

Project description:BackgroundLong-term data on cardiovascular disease (CVD) and mortality in female carriers of the transthyretin (TTR) V122I (pV142I) variant, one of the most common variants of hereditary transthyretin cardiac amyloidosis, are sparse and the effects of blood pressure, heart rate, body mass index, and physical activity on CVD outcomes remain largely unknown.ObjectivesThe aim was to first examine the relationship of TTR V122I (pV142I) carrier status with CVD and mortality and second to investigate the effects of blood pressure, heart rate, body mass index, and physical activity in a large cohort of postmenopausal women.MethodsThe study population consisted of 9,862 non-Hispanic Black/African American women, 9,529 noncarriers and 333 TTR V122I carriers, enrolled in the Women's Health Initiative at 40 centers in the United States. Women were generally healthy and postmenopausal at the time of enrollment (1993-1998). CVD was defined as a composite endpoint consisting of coronary heart disease, stroke, acute heart failure or CVD death, and all-cause mortality. CVD cases were based on self-reported annual mailed health updates. All information was centrally adjudicated by trained physicians. HRs and 95% CIs were obtained from adjusted Cox proportional hazards models.ResultsAmong 9,862 Black female participants (mean age: 62 years [IQR: 56-67 years]), the population frequency of the TTR V122I variant was 3.4% (333 variant carriers and 9,529 noncarriers). During a mean follow-up of 16.1 years (IQR: 9.7-22.2 years), incident CVD occurred in 2,229 noncarriers and 96 carriers, whereas 2,689 noncarriers and 108 carriers died. In adjusted models including demographic, lifestyle, and medical history covariates, TTR V122I carriers were at higher risk of the composite endpoint CVD (HR: 1.52; 95% CI: 1.22-1.88), acute heart failure (HR: 2.21; 95% CI: 1.53-3.18), coronary heart disease (HR: 1.80; 95% CI: 1.30-2.47), CVD death (HR: 1.70; 95% CI: 1.26-2.30), and all-cause mortality (HR: 1.28; 95% CI: 1.04-1.56). The authors found a significant interaction by age but not by blood pressure, heart rate, body mass index, or physical activity.ConclusionsBlack female TTR V122I (pV142I) carriers have a higher CVD and all-cause mortality risk compared to noncarriers. In case of clinical suspicion of amyloidosis, they should be screened for TTR V122I (pV142I) carrier status to ensure early treatment onset.

Dataset Information

CRMS/CFSPID Subjects Carrying D1152H CFTR Variant: Can the Second Variant Be a Predictor of Disease Development?

Background

Aim

Methods

Results

Conclusions

Publications

CRMS/CFSPID Subjects Carrying D1152H CFTR Variant: Can the Second Variant Be a Predictor of Disease Development?

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets