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Journal of Thoracic Disease logoLink to Journal of Thoracic Disease
. 2018 May;10(5):2618–2630. doi: 10.21037/jtd.2018.04.134

Next-generation sequencing for identifying genetic mutations in adults with bronchiectasis

Wei-Jie Guan 1,2,#, Jia-Cheng Li 3,#, Fang Liu 3, Jian Zhou 3, Ya-Ping Liu 3, Chao Ling 4, Yong-Hua Gao 5, Hui-Min Li 1, Jing-Jing Yuan 1, Yan Huang 1, Chun-Lan Chen 1, Rong-Chang Chen 1, Xue Zhang 3,, Nan-Shan Zhong 1,
PMCID: PMC6006054  PMID: 29997923

Abstract

Background

Defective airway host-defense (e.g., altered mucus properties, ciliary defects) contributes to the pathogenesis of bronchiectasis. This study aims to determine whether genetic mutations associated with defective airway host-defense are implicated in the pathogenesis of bronchiectasis.

Methods

Based on the systematic screening of 32 frequently reported bronchiectasis-associated genes, we performed next-generation sequencing (NGS) on peripheral blood samples from 192 bronchiectasis patients and 100 healthy subjects. The variant distribution frequency and pathogenicity of mutations were analyzed.

Results

We identified 162 rare variants in 192 bronchiectasis patients, and 85 rare variants among 100 healthy subjects. Among bronchiectasis patients, 25 (15.4%), 117 (72.2%) and 18 (11.1%) rare variants were associated with cystic fibrosis transmembrane receptor (CFTR), epithelial sodium channel, and primary ciliary dyskinesia genes, respectively. Biallelic CFTR variants were detected in four bronchiectasis patients but none of the healthy subjects. Carriers of homozygous p.M470 plus at least one CFTR rare variant were detected in 6.3% of bronchiectasis patients (n=12) and in 1.0% of healthy subjects (n=1, P=0.039). Twenty-six patients (16 with idiopathic and 6 with post-infectious bronchiectasis) harbored biallelic variants. Bronchiectasis patients with biallelic DNAH5 variants, or biallelic CFTR variants plus an epithelial sodium channel variant, tended to have greater disease severity.

Conclusions

Genetic mutations leading to impaired host-defense might have implicated in the pathogenesis of bronchiectasis. Genetic screening may be a useful tool for unraveling the underlying causes of bronchiectasis, and offers molecular information which is complementary to conventional etiologic assessment for bronchiectasis.

Keywords: Bronchiectasis, mutation, cystic fibrosis transmembrane conductance regulator, primary ciliary dyskinesia, next-generation sequencing (NGS)

Introduction

Bronchiectasis is characterized by irreversible bronchial dilatation resulting from airway infection and inflammation (1). Various etiologies have been attributable to bronchiectasis (2-4), but whether genetic mutations are underlying causes is unclear. Certain mutations (e.g., RSPH1, RSPH4A, RSPH9 and DNAI1) related to primary ciliary dyskinesia (PCD) (5-8), immunodeficiency (9), and cystic fibrosis (CF) (10,11) have been implicated in the pathogenesis of bronchiectasis. However, previous studies were limited by relatively small sample sizes (7,9-11), selective mutation analysis (5-9,11) and children-predominant population (5,6), which limited the generalizability of findings (12).

Next-generation sequencing (NGS) with Ion Torrent PGMTM platform (Life Technologies Inc., USA) has fueled the testing of various diseases (10). Compared with Sanger sequencing, NGS is simpler and convenient, has higher detection accuracy and faster responses at lower cost. NGS confers a greater likelihood for identifying novel mutations (13-16), which might unravel how mutations are implicated in bronchiectasis.

Airway epithelium plays pivotal roles in maintaining host-defense to pathogen invasion. Ciliary defects associated with PCD and cystic fibrosis transmembrane conductance regulator (CFTR) disorders have been linked to bronchiectasis pathogenesis. Defects of RSPH1, RSPH9 (17) or DNAH11 genes (18) could have resulted in bronchiectasis due to impaired ciliary ultrastructure and/or beating.

In view that pathogenic mutations associated with defective airway host-defense predispose to bronchiectasis, we compared mutation frequency between bronchiectasis patients and healthy subjects in Chinese Han ethnicity, identified pathogenic mutations, and determined the clinical characteristics of bronchiectasis with biallelic mutations.

Methods

Subjects

Adults with bronchiectasis, diagnosed with chest high-resolution computed tomography (HRCT), were recruited from The First Affiliated Hospital of Guangzhou Medical University between September 2012 and 2015. Cystic fibrosis was not routinely screened because of extremely low prevalence in China. Healthy subjects with normal chest X-ray and no prior history or symptoms of chronic respiratory diseases (including asthma, chronic obstructive pulmonary disease, etc.) whose data were anonymized before blood collection were enrolled from our health check-up center. None of the subjects had malignancy, severe systemic disorders (e.g., stroke), or upper airway infection or antibiotic use within 4 weeks. Ethics approval was obtained from Ethics Committee of The First Affiliated Hospital of Guangzhou Medical University. Written informed consent was obtained.

Clinical assessments

Venous blood was withdrawn, followed by gradient centrifugation in heparinized tubes. Genomic DNA was extracted using commercialized kits (Qiagen, Valencia, CA).

For bronchiectasis patients, clinical investigations included etiology (4), chest HRCT, spirometry (19) and sputum bacteriology (20). Chest HRCT was assessed using the modified Reiff score (21). Fresh sputum was immediately sent for microbiology assessment. We calculated Bronchiectasis Severity Index (BSI) to determine disease severity (22) (See online Supplement text).

Mutation screening

Mutations of multiple genes have been described as a cause of bronchiectasis (23-25). Thirty-two clinically important candidate genes of cystic fibrosis (CFTR, SCNN1A, SCNN1B and SCNN1G), PCD (CCDC103, CCDC114, CCDC164, CCDC39, CCDC40, DNAAF1, DNAAF2, DNAAF3, DNAH11, DNAH5, DNAI1, DNAI2, DNAL1, HEATR2, LRRC6, OFD1, RPGR, RSPH4A, RSPH9, and NME8) and other lung diseases (EFEMP2, ELN, FBLN5, FLCN, LTBP4, SERPINA1, ATP7A and SLC34A2) were screened in our study (see the detailed panel in Tables S1-S3 in Online Supplement text). Data analysis was performed with the hypothesis that bronchiectasis might be a single-gene disorder. The conservation and pathogenicity of the mutations were also determined (Figure 1).

Table S1. Common disease spectra associated with gene mutations.

Genetic disorders Disease Type of disease Genetic characteristics Common clinical manifestation
EFEMP2, ELN, FBLN5, FBLN4, ATP7A Congenital cutis laxa Pulmonary cystic disorders Autosomal dominant Cutis laxa/pulmonary bulbs/emphysema/herniation/intestinal diverticulum
FLCN Birt-Hogg-Dubé syndrome Pulmonary cystic disorders Autosomal dominant Pulmonary bulbs/ renal malignancy/ cutaneous fibroma
LTBP4 NA Pulmonary cystic disorders NA Respiratory distress/pulmonary cystic disorders or atelectasis/diaphragmatic herniation/tracheochondriomalacia
SERPINA1 ɑ1-antitrypsin deficiency Pulmonary cystic disorders Autosomal recessive Childhood pulmonary bulbs/liver fibrosis/necrotic subcutaneous steatitis
CFTR Cystic fibrosis Bronchiectasis Autosomal recessive Bronchiectasis/pancreatic insufficiency/congenital vas deference
CCDC39, CCDC40, DNAAF1, DNAAF2, DNAH11, DNAH5, DNAI1, DNAI2, DNAL1, RSPH4A, RSPH9 Primary ciliary dyskinesia Bronchiectasis Autosomal recessive Rhinosinusitis/bronchiectasis/situs inversus
SCNN1A, SCNN1B, SCNN1G Congenital sodium ion transporter anomaly Bronchiectasis Autosomal recessive Clinical manifestations similar with cystic fibrosis
SLC34A2 Alveolar microlithiasis Pulmonary interstitial diseases SLC34A2-coding sodium-dependent phosphorylation co-transportation Pulmonary multiple fine calcified nodules

CFTR, cystic fibrosis transmembrane conductance regulator; SCNN1A, sodium channel, epithelial, alpha subunit; SCNN1B, sodium channel, non-voltage-gated 1, beta subunit; SCNEG, sodium channel, epithelial, gamma subunit; DNAI1, dynein, axonemal, intermediate chain 1; DNAH5, dynein, axonemal, heavy chain 5; DNAH11, dynein, axonemal, heavy chain 11; DNAI2, dynein, axonemal, intermediate chain 2; DNAAF3, dynein, axonemal, assembly factor 3; NME8, thioredoxin domain-containing protein 3; DNAAF2, dynein, axonemal, assembly factor 2; RSPH4A, radial spoke head 4, chlamydomonas, homolog of, A; RSPH9, radial spoke head 9, chlamydomonas, homolog; DNAAF1, dynein, axonemal, assembly factor 1; CCDC39, coiled-coil domain-containing protein 39; CCDC40, coiled-coil domain-containing protein 40; DNAL1, dynein, axonemal, light chain 1; CCDC103, coiled-coil domain-containing protein 103; HEATR2, heat repeat-containing protein 2; LRRC6, leucine-rich repeat-containing protein 6; CCDC114, coiled-coil domain-containing protein 114; DRC1, dynein regulatory complex, subunit 1, chlamydomonas, homolog; ELN, elastin; FBLN5, fibulin 5; EFEMP2, EGF-containing fibulin-like extracellular matrix protein 2; LTBP4, latent transforming growth factor-beta-binding protein 4; OFD1, OFD1 GENE; RPGR, retinitis pigmentosa GTPase regulator; SLC34A2, solute carrier family 34 (sodium/phosphate cotransporter), member 2; FLCN, folliculin; SERPINA1, serpin peptidase inhibitor, clade a, member 1; ATP7A, ATPase, Cu2+-transporting, alpha polypeptide. NA, not applicable.

Table S2. Gene mutations leading to primary ciliary dyskinesia.

Gene Chromosome location Electron microscopic characteristics of biallelic gene mutation Proportion of biallelic gene mutation OMIM code#
DNAH5 5p15.2 ODA defect Accounting for 15–21% of patients with PCD, and 27–38% of PCD patients with ODA defect 608644
DNAI1 9p21-p13 ODA defect Accounting for 2–9% of patients with PCD, and 4–13% of PCD patients with ODA defect 244400
DNAI2 17q25 ODA defect Accounting for 2% of patients with PCD, and 4% of PCD patients with ODA defect 612444
DNAL1 14q24.3 ODA defect NA 614017
CCDC114 19q13.32 ODA defect Accounting for 6% of PCD patients with ODA defect 615038
TXNDC3 (NME8) 7p14-p13 Partial ODA defect NA 610852
DNAAF1 (LRRC50) 16q24.1 ODA + IDA defect Accounting for 17% of PCD patients with ODA and defect 613193
DNAAF2 (KTU) 14q21.3 ODA + IDA defect Accounting for 12% of PCD patients with ODA and defect 612517, 612518
DNAAF3 (C19ORF51) 19q13.42 ODA + IDA defect NA 606763
CCDC103 17q21.31 ODA + IDA defect NA 614679
HEATR2 7p22.3 ODA + IDA defect NA 614864
LRRC6 8q24 ODA + IDA defect Accounting for 11% of PCD patients with ODA and defect 614930
CCDC39 3q26.33 IDA defect and disoriented axonemal cilia Accounting for 36–65% of cases with IDA defect and disoriented axonemal cilia in patients with PCD 613798
CCDC40 17q25.3 IDA defect and disoriented axonemal cilia Accounting for 24–54% of cases with IDA defect and disoriented axonemal cilia in patients with PCD 613808
RSPH4A 6q22.1 Mostly normal, with central axonemal defect in a minority of cases NA 612649
RSPH9 6p21.1 Mostly normal, with central axonemal defect in a minority of cases NA 612648
HYDIN 16q22.2 Mostly normal, occasionally with central axonemal defect NA 610812
DNAH11 7p21 Normal Accounting for 6% of patients with PCD, and 22% of PCD patients with normal ciliary ultrastructure 603339
RPGR Xp21.1 Mixed PCD with X-linked retinitis 300170
OFD1 Xq22 NA PCD with X-linked intelligence disorders 312610
CCDC164 (C2ORF39) 2p23.3 N-DRC defect; central axonemal defect in a minority of cases NA 312610

Currently, there have been various genetic mutants associated with PCD pathogenesis, we herein have listed the most common mutants with known functions. CA, central axoneme; IDA, inner dynein arm; NA, not available; N-DRC, nexin-dynein regulatory complex; ODA, outer dynein arm; PCD, primary ciliary dyskinesia.

Table S3. A list of mutants, coding proteins, chromosome location and disease manifestations associated with gene mutation.

Gene Protein Chromosome location Disease manifestations
CFTR Cystic fibrosis transmembrane conductance regulator 7q31.2 Cystic fibrosis; sweat chloride elevation without CF; bronchiectasis with or without elevated sweat chloride 1
SCNN1A Sodium channel, epithelial, alpha subunit 12p13.31 Bronchiectasis with or without elevated sweat chloride 2
SCNN1B Sodium channel, non-voltage-gated 1, beta subunit 16p12.2 Bronchiectasis with or without elevated sweat chloride 1
SCNEG Sodium channel, epithelial, gamma subunit 16p12.2 Bronchiectasis with or without elevated sweat chloride 3
DNAI1 Dynein, axonemal, intermediate chain 1 9p13.3 Ciliary dyskinesia, primary, 1, with or without situs inversus
DNAH5 Dynein, axonemal, heavy chain 5 5p15.2 Ciliary dyskinesia, primary, 3, with or without situs inversus
DNAH11 Dynein, axonemal, heavy chain 11 7p15.3 Ciliary dyskinesia, primary, 7, with or without situs inversus
DNAI2 Dynein, axonemal, intermediate chain 2 17q25.1 Ciliary dyskinesia, primary, 9, with or without situs inversus
DNAAF3 Dynein, axonemal, assembly factor 3 19q13.42 Ciliary dyskinesia, primary, 2
NME8 Thioredoxin domain-containing protein 3 7p14.1 Ciliary dyskinesia, primary, 6
DNAAF2 Dynein, axonemal, assembly factor 2 14q21.3 Ciliary dyskinesia, primary, 10
RSPH4A Radial spoke head 4, chlamydomonas, homolog of, a 6q22.1 Ciliary dyskinesia, primary, 11
RSPH9 Radial spoke head 9, chlamydomonas, homolog 6p21.1 Ciliary dyskinesia, primary, 12
DNAAF1 Dynein, axonemal, assembly factor 1 16q23.3-q24.1 Ciliary dyskinesia, primary, 13
CCDC39 Coiled-coil domain-containing protein 39 3q26.33 Ciliary dyskinesia, primary, 14
CCDC40 Coiled-coil domain-containing protein 40 17q25.3 Ciliary dyskinesia, primary, 15
DNAL1 Dynein, axonemal, light chain 1 14q24.3 Ciliary dyskinesia, primary, 16
CCDC103 Coiled-coil domain-containing protein 103 17q21.31 Ciliary dyskinesia, primary, 17
HEATR2 Heat repeat-containing protein 2 7p22.3 Ciliary dyskinesia, primary, 18
LRRC6 Leucine-rich repeat-containing protein 6 8q24.22 Ciliary dyskinesia, primary, 19
CCDC114 Coiled-coil domain-containing protein 114 19q13.33 Ciliary dyskinesia, primary, 20
DRC1 Dynein regulatory complex, subunit 1, chlamydomonas, homolog 2p23.3 Ciliary dyskinesia, primary, 21
ELN Elastin 7q11.23 Cutis laxa, AD
FBLN5 Fibulin 5 14q32.12 Cutis laxa, autosomal dominant 2
EFEMP2 EGF-containing fibulin-like extracellular matrix protein 2 11q13.1 Cutis laxa, autosomal recessive, type IB
LTBP4 Latent transforming growth factor-beta-binding protein 4 19q13.2 Cutis laxa, autosomal recessive, type IC
OFD1 Ofd1 gene Xp22.2 Joubert syndrome 10
RPGR Retinitis pigmentosa GTPase regulator Xp11.4 Macular degeneration, X-linked atrophic
SLC34A2 Solute carrier family 34 (sodium/phosphate cotransporter), member 2 4p15.2 Pulmonary alveolar microlithiasis
FLCN Folliculin 17p11.2 Pneumothorax, primary spontaneous; Birt-Hogg-Dube syndrome
SERPINA1 Serpin peptidase inhibitor, clade a, member 1 14q32.13 Emphysema-cirrhosis, due to AAT deficiency; Pulmonary disease, chronic obstructive, susceptibility to
ATP7A Atpase, Cu2+-TRANSPORTING, ALPHA POLYPEPTIDE Xq21.1 Menkes disease; occipital horn syndrome; Spinal muscular atrophy, distal, X-linked 3

CFTR, cystic fibrosis transmembrane conductance regulator; SCNN1A, sodium channel, epithelial, alpha subunit; SCNN1B, sodium channel, non-voltage-gated 1, beta subunit; SCNEG, sodium channel, epithelial, gamma subunit; DNAI1, dynein, axonemal, intermediate chain 1; DNAH5, dynein, axonemal, heavy chain 5; DNAH11, dynein, axonemal, heavy chain 11; DNAI2, dynein, axonemal, intermediate chain 2; DNAAF3, dynein, axonemal, assembly factor 3; NME8, thioredoxin domain-containing protein 3; DNAAF2, dynein, axonemal, assembly factor 2; RSPH4A, radial spoke head 4, chlamydomonas, homolog of, A; RSPH9, radial spoke head 9, chlamydomonas, homolog; DNAAF1, dynein, axonemal, assembly factor 1; CCDC39, coiled-coil domain-containing protein 39; CCDC40, coiled-coil domain-containing protein 40; DNAL1, dynein, axonemal, light chain 1; CCDC103, coiled-coil domain-containing protein 103; HEATR2, heat repeat-containing protein 2; LRRC6, leucine-rich repeat-containing protein 6; CCDC114, coiled-coil domain-containing protein 114; DRC1, dynein regulatory complex, subunit 1, chlamydomonas, homolog; ELN, elastin; FBLN5, fibulin 5; EFEMP2, EGF-containing fibulin-like extracellular matrix protein 2; LTBP4, latent transforming growth factor-beta-binding protein 4; OFD1, OFD1 gene; RPGR, retinitis pigmentosa GTPase regulator; SLC34A2, solute carrier family 34 (sodium/phosphate cotransporter), member 2; FLCN, folliculin; SERPINA1, serpin peptidase inhibitor, clade a, member 1; ATP7A, ATPase, Cu2+-transporting, alpha polypeptide.

Figure 1.

Figure 1

Strategies for screening potentially pathogenic mutations. Candidate mutations related to bronchiectasis were screened from literature and official websites of Human Gene Mutation Database (http://www.hgmd.cf.ac.uk/ac/index.php) and Online Mendelian Inheritance in Man (http://omim.org/). Conservation and pathogenicity of mutations were subsequently determined.

In this study, sequencing libraries were constructed using 10 ng of the genomic deoxyribonucleic acid (DNA). The DNA was amplified using a custom-designed Ion AmpliSeq™ Panel (32 genes) (Life Technologies, Grand Island, NY, USA) and barcoded by using the Ion Xpress Fragment Library Kit and Ion Xpress™ Barcode Adapters (Life Technologies, USA). The DNA libraries were then amplified with the OneTouch Template 200 Kit on the Ion One Touch™ 2 (Life Technologies, USA) and enriched on the Ion OneTouch™ ES. The enriched libraries were sequenced on an Ion Torrent PGM platform (Life Technologies Inc., USA) after annealing the sequencing primer, binding with the Ion PGM™ Sequencing Polymerase and loading on the Ion 318™ v2 Chip according to the manufacturer’s protocols. Software including Torrent Suite™ 4.0 (Life Technologies Inc., USA) and wANNOVAR (web ANNOVAR) were applied to perform bioinformatic analysis to annotate the genetic variants in terms of disease phenotypes. Finally, all likely pathogenic variants were confirmed by Sanger sequencing.

Statistical analysis

Statistical analysis was performed using SPSS 16.0 (SPSS Inc., Ill, USA). We presented numerical data as mean ± standard deviation or median (interquartile range), and categorical data as number (percentage). Independent t-test or Mann-Whitney test was employed for two-group comparisons. Chi-square test was performed to compare rates for two groups. P<0.05 was deemed statistically significant for all analyses unless otherwise stated.

Results

Patient characteristics

Of 316 subjects screened, 24 withdrew consent. Data from 192 bronchiectasis patients and 100 healthy subjects were analyzed (Figure 2).

Figure 2.

Figure 2

Study flow chart. Of 316 subjects who underwent screening, 19 bronchiectasis patients and 5 healthy subjects withdrew consent. Data from 192 bronchiectasis patients and 100 healthy subjects were analyzed.

Our cohort consisted of mainly middle-aged adults with a female predominance. Twenty-two (11.5%) and 11 patients (5.7%) reported a family history of chronic respiratory diseases and bronchiectasis, respectively. The dominant etiology was idiopathic (31.8%), followed by post-infectious (27.6%) (Table 1).

Table 1. Basic characteristics of bronchiectasis patients.

Parameter Bronchiectasis patients (n=192)
Anthropometry
   Age (years) 45.2±14.1
   Height (cm) 160.0 (12.0)
   Weight (kg) 52.0 (12.4)
   Body mass index (kg/m2) 20.3 (4.3)
   Females, n (%) 115 (59.9)
   Never-smokers, n (%) 170 (88.5)
Disease characteristics
   Duration from onset of symptoms (years) 10.0 (15.0)
   No. of bronchiectatic lobes 4.0 (3.0)
   HRCT total score 7.0 (6.0)
   Bronchiectasis severity index 5.0 (7.0)
   FEV1% predicted 69.1±23.9
   Family history of any respiratory disease, n (%) 22 (11.5)
   Family history of bronchiectasis, n (%) 11 (5.7)
Bronchiectasis etiology, n (%)
   Idiopathic 61 (31.8)
   Post-infectious 53 (27.6)
   Immunodeficiency 25 (13.0)
   Asthma 8 (4.2)
   Gastroesophageal reflux 6 (3.1)
   Other known etiologies 16 (8.3)
Sputum bacteriology, n (%)
   Pseudomonas aeruginosa 63 (32.8)
   Haemophilus parainfluenzae 15 (7.8)
   Haemophilus influenzae 21 (10.9)
   Other PPMs 20 (10.4)
   Commensals 73 (38.0)

Numerical data are presented as mean ± standard deviation for normal distribution or otherwise median (interquartile range). Categorical data are expressed as number (percentage). None of the patients was using inhaled or oral antibiotics at the time of the study. PPMs, the abbreviation for potentially pathogenic microorganisms. In our study, other PPMs are consisted of Staphylococcus aureus, Klebsiella spp. and other clinically significant bacteria (e.g., Stenotrophomonas maltophilia, Escherichia coli, Sphingomonas paucimobilis, Alcaligenes faecalis subsp faecalis, Pseudomonas pseudoalcaligenes and Serratia marcescens). Other known etiologies included Kartagener syndrome, rheumatoid arthritis, lung maldevelopment, chronic obstructive pulmonary disease, allergic bronchopulmonary aspergillosis, Young’s syndrome, non-Tuberculous mycobacteria disease (n=1, Mycobacteria avium and Mycobacteria intracelluleae complex was detected on multiple occasions), yellow nail syndrome, aspergilloma, diffuse panbronchiolitis, and eosinophilic bronchiolitis. Cystic fibrosis was not routinely screened because of the extremely low prevalence in China according to the previous literature reports. In this study, bronchiectasis in the two patients with Kartagener syndrome was secondary to primary ciliary dyskinesia. FEV1, forced expiratory volume in one second.

Panel performance of candidate genes

Sequencing of 32 genes (see Table S3 in Online Supplement text) yielded a mean depth of ~200× and coverage of 99.3% (Figure S1). Exons with low (<20-fold) or no coverage were subject to Sanger sequencing to achieve 100% coverage. Pathogenic and rare mutations of unknown significance were confirmed with Sanger sequencing.

Figure S1.

Figure S1

Bronchiectasis panel sequencing performance. (A) Ion sphere particles (ISPs) density diagram, showing the rate of ISPs for sequencing, with red portions indicating the positive ISPs (which could yield the sequencing data); (B) summary information of ISPs for sequencing; the percentage of active ISPs on individual dots for the gene chip was referred to as loading in the figure; (C) average read length for the ISPs for sequencing; (D) coverage of ISPs for sequencing.

We identified 162 and 85 rare variants in bronchiectasis patients and healthy subjects, respectively. In bronchiectasis, 25 (15.4%), 117 (72.2%) and 18 (11.1%) rare variants were associated with CFTR/epithelial sodium channel (ENaC), PCD and other relevant genes, respectively (see Tables S4,S5 in Online Supplement text).

Table S4. The number of mutants identified through PGM sequencing.

Mutation type Bronchiectasis patients (n=192) Healthy subjects (n=100)
Non-synonymous SNV 277 232
synonymous SNV 138 123
Stop-gain 6 2
Frameshift insertion 1 8
Frameshift deletion 4 2
Non-frameshift variation 0 6
Unknown 21 20
Total 447 393

SNV, single nucleotide variants.

Table S5. Pathogenic mutants identified among bronchiectasis patients and healthy subjects.

Category of genetic mutations Bronchiectasis patients (n=192) Healthy subjects (n=100)
No. of pathogenic mutants No. of alleles with pathogenic mutants Recessive/compound heterozygous mutants No. of pathogenic mutants No. of alleles with pathogenic mutants Recessive/compound heterozygous mutants
CFTR/ENaC 25 59 4 12 23 0
PCD 117 208 21 62 95 3
CF 18 20 0 10 10 0
Total 162 287 25 85 132 3

CFTR, cystic fibrosis transmembrane conductance regulator; PCD, primary ciliary dyskinesia; ENaC, epithelial sodium ion channel; CF, cystic fibrosis.

CFTR and ENaC mutations

We examined CFTR, SCNN1A, SCNN1B and SCNN1G mutations via screening the published pathogenic mutations from databases, followed by identification with single nucleotide polymorphism frequency <0.1% and other novel mutations. Pathogenicity was predicted with the software Sift (http://sift.jcvi.org) and Polyphen2 (http://genetics.bwh.harvard.edu/pph2/).

Overall, 49 bronchiectasis patients (25.5%) and 26 healthy subjects (26.0%) harbored at least one rare CFTR variant, respectively (see Tables S4,S5 in Online Supplement text). Forty-three bronchiectasis patients (22.4%) harbored 15 CFTR variants, whereas 6 patients (3.1%) harbored six SCNN1A and SCNN1B variants. Twenty-five healthy subjects (25.0%) harbored 13 CFTR variants, whereas 1 (1.0%) harbored SCNN1B variant. We identified five novel variants: c.1252C>A(p.P418T), c.205G>A(p.D69N) and c.953T>G(p.I318S) for SCNN1A, and c.3592G>A(p.V1198M) and c.4262T>A(p.V1421E) for CFTR.

Eighteen bronchiectasis patients (9.4%) harbored c.1666A>G(p.I556V) in CFTR variants (exon 12). No significant differences in c.1666A>G frequency were found compared with healthy subjects (9.0%, P=0.920). An identical stop-gain CFTR mutation, c.1909C>T(p.Q637X), was identified in two bronchiectasis patients but none of the healthy subjects. SCNN1A and SCNN1B variants were identified in 6 bronchiectasis patients (3.1%) and 1 healthy subject (1.0%). The frequency of heterozygous mutations was comparable between healthy subjects and bronchiectasis patients (P=0.740) (Table S6).

Table S6. Mutations of CFTR, SCNN1A, SCNN1B and SCNN1G among bronchiectasis patients and healthy subjects.

Gene Exon Nucleotide mutation Protein change Variant classification Bronchiectasis patients (n=192) Healthy subjects (n=100) ExAC_Freq dbSNP
CFTR Exon 12 c.1666A>G p.I556V Missense 18 9 0.0029 rs75789129
CFTR Exon 20 c.3205G>A p.G1069R Missense 4 1 0.0002 rs200321110
CFTR Exon 6 c.650A>G p.E217G Missense 2 1 0.0039 rs121909046
CFTR Exon 25 c.4056G>C p.Q1352H Missense 5 3 0.001 rs113857788
CFTR Exon 17 c.2770G>A p.D924N Missense 1 0 7.42E−05 rs201759207
CFTR Exon 17 c.2684G>A p.S895N Missense 2 1 0.0003 rs201864483
CFTR Exon 11 c.1558G>A p.V520I Missense 1 0 0.0002 rs77646904
CFTR Exon 18 c.2936A>C p.D979A Missense 1 0 2.48E−05 rs397508462
CFTR Exon 14 c.1909C>T p.Q637X Stop-gain 2 0 rs397508320
CFTR Exon 6 c.601G>A p.V201M Missense 2 0 0.0002 rs138338446
CFTR Exon 4 c.374T>C p.I125T Missense 1 1 0.0006 rs141723617
CFTR Exon 27 c.4262T>A p.V1421E Missense 1 0
CFTR Exon 2 c.91C>T p.R31C Missense 1 3 0.0017 rs1800073
CFTR Exon 20 c.3289C>T p.R1097C Missense 1 1 0.0002 rs201591901
CFTR Exon 22 c.3592G>A p.V1198M Missense 1 0 1.65E−05 rs576710089
CFTR Exon 15 c.2540A>G p.N847S Missense 0 1 8.25E−06 rs562851847
CFTR Exon 14 c.1811C>T p.T604I Missense 0 1 rs397508308
CFTR Exon 15 c.2552G>A p.R851Q Missense 0 1 0.0001 rs397508395
CFTR Exon 14 c.2042A>T p.E681V Missense 0 1 0.0001 rs201295415
CFTR Exon 19 c.3004A>T p.I1002F Missense 0 1 8.28E−06
SCNN1A Exon 5 c.1252C>A p.P418T Missense 1 0 8.83E−06
SCNN1A Exon 1 c.205G>A p.D69N Missense 1 0 1.65E−05
SCNN1A Exon 3 c.953T>G p.I318S Missense 1 0
SCNN1A Exon 1 c.28C>T p.R10W Missense 1 0 0.0001 rs531838244
SCNN1B Exon 5 c.863A>G p.N288S Missense 1 0 8.24E−06 rs137852712
SCNN1B Exon 2 c.268A>G p.M90V Missense 1 0 0.0001 rs150466803
SCNN1B Exon 5 c.857C>T p.S286L Missense 0 1 0.0002 rs142531781

CFTR, cystic fibrosis transmembrane conductance regulator; SCNN1A, sodium channel, epithelial, alpha subunit; SCNN1B, sodium channel, non-voltage-gated 1, beta subunit; NA, not applicable.

Notably, four bronchiectasis patients harbored biallelic CFTR variants. Patient B168 harbored c.91C>T(p.R31C) and c.2684G>A(p.S895N) variants, patient B077 harbored IVS8 5T and c.1666A>G(p.I556V) variants, patient B179 harbored homozygous IVS8 5T variants, and patient B180 harbored c.1666A>G(p.I556V) and c.3289C>T(p.R1097) variants (Table 2). However, none of the healthy subjects harbored biallelic CFTR variants.

Table 2. Patient with homozygous p.V470M variant and other CFTR mutations.

Exon Mutation 1 ACMG No. of bronchiectasis patients ExAC_Freq dbSNP Mutation 2
Exon 20 c.G3205A(p.G1069R) VUS 4 0.0002 rs200321110 M470/M470
Exon 6 c.A650G(p.E217G) P 2 0.0039 rs121909046 M470/M470
Exon 20 c.G3205A(p.G1069R) VUS 4 0.0002 rs200321110 M470/M470
Exon 17 c.G2770A(p.D924N) VUS 1 7.42E-05 rs201759207 M470/M470
Exon 10 IVS85T P 8 0.0107 rs73715573 M470/M470
Exon 17 c.G2684A(p.S895N) VUS 2 0.0003 rs201864483 M470/M470
Exon 11 c.G1558A(p.V520I) P 1 0.0002 rs77646904 M470/M470
Exon 20 c.G3205A(p.G1069R) VUS 4 0.0002 rs200321110 M470/M470
Exon 6 c.G601A(p.V201M) P 2 0.0002 rs138338446 M470/M470
Exon 6 c.A650G(p.E217G) P 2 0.0039 rs121909046 M470/M470
Exon 6 c.G601A(p.V201M) P 2 0.0002 rs138338446 M470/M470
Exon 10 IVS85T P 8 0.0107 rs73715573 M470/M470

AA, amino acid; ExAC-Freq, Exome Aggregation consortium-frequency; dbSNP, Single Nucleotide Polymorphism Database; CFTR, cystic fibrosis transmembrane conductance regulator; ACMG, American College of Medical Genetics and Genomics; VUS, variant of unknown significance; P, pathogenic; LP, likely pathogenic.

Moreover, patient B142 harbored a c.T953G(p.I318S) missense mutation of SCCN1A and a c.A1666G(p.I556V) mutation of CFTR. Patient B180 harbored c.A1666G(p.I556V) and c.C3289T(p.R1097C) mutations of CFTR, and c.A806T(p.Y269F) of SCCN1B. None of the healthy subjects harbored CFTR/ENaC trans-heterozygote mutations.

p.V470M polymorphism

We identified 130 bronchiectasis patients (67.7%) who harbored p.M470 variants of CFTR. Homozygous p.M470 variants were identified in 38 bronchiectasis patients (29.2%), whereas heterozygous p.M470 variants in 92 bronchiectasis patients (70.7%). Sixty-seven healthy subjects (67.0%) harbored p.M470 variants. Of these, 14 subjects (20.8%) harbored homozygous p.M470 and 53 patients (79.1%) harbored heterozygous variants. No significant difference in the number of bronchiectasis patients with p.M470 carriers (P=0.902) or homozygous variants was found (P=0.209).

Of 92 bronchiectasis patients with heterozygous p.M470 variants, 20 (21.7%) harbored other rare CFTR variants. Of 38 bronchiectasis patients with homozygous p.M470 variants, 12 (31.5%) harbored miscellaneous CFTR mutations. Miscellaneous CFTR mutations were detected in 12 (22.6%) of 53 healthy subjects with heterozygous p.M470 variants and 1 (7%) of 14 healthy subjects with homozygous p.M470 variant.

Homozygous p.M470 and other CFTR variants were more frequently observed in bronchiectasis patients than in healthy subjects (6.3% vs. 1.0%, P=0.039) (Table 3).

Table 3. Summary of carriers of dual mutations of CFTR and PCD.

Mutation category Patient No. Gene Mutations ACMG Consequences
Bronchiectasis patients with two mutations of CF genes or trans CFTR/ENaC mutations B077 CFTR IVS8 5T; c.1666A>G (p.I556V) LP;VUS Splice site mutation; Missense mutation
B168 CFTR c.91C>T (p.R31C); c.2684G>A (p.S895N) VUS;VUS Two heterozygous missense mutations
B142 CFTR/SCNN1A c.1666A>G (p.I556V)/c.953T>G(p.I318S) VUS;VUS Two heterozygous missense mutations
B179 CFTR IVS8 5T/ IVS8 5T P;P Homozygous splice site mutation
B180 CFTR/SCNN1B c.1666A>G (p.I556V); c.3289C>T (p.R1097)/ c.A806T(p.Y269F) VUS;LP/VUS Two heterozygous missense mutations
Bronchiectasis patients with two mutations of PCD genes B002 DNAH5 c.11986C>T (p.R3996C); c.975+6C>T VUS;VUS Missense mutation; Splice site mutation
B012 DNAH11 c.2419G>C (p.D807H); c.12258C>A (p.Y4086X) VUS;LP Missense mutation; Nonsense mutation
B036 DNAH11 c.2542G>A (p.V848M); c.9260A>G (p.K3087R) VUS;VUS Two heterozygous missense mutations
B039 HEATR2 c.1394G>A (p.R465Q); c.1394G>A (p.R465Q) LP;LP Homozygous missense mutation
B073 DNAH11 c.7292G>T (p.S2431I); c.9017C>T (p.T3006M) VUS;VUS Two heterozygous missense mutations
B082 DNAH11 c.2419G>C (p.D807H); c.2542G>A (p.V848M) VUS;VUS Two heterozygous missense mutations
B091 CCDC40 c.1372G>T (p.A458S); c.1373G>T (p.A458V) VUS;VUS Two heterozygous missense mutations
B099 DNAH11 c.4306C>T (p.R1436W); c.6118C>T (p.R2040C) VUS;VUS Two heterozygous missense mutations
B128 DNAH5 c.6428A>T (p.E2143V); c.2047C>T (p.R683W) VUS;VUS Two heterozygous missense mutations
B142 DNAH11 c.2912A>G (p.D971G); c.11396T>C (p.I3799T) VUS;VUS Two heterozygous missense mutations
B150 DNAH5 c.13073G>A (p.R4358Q); c.11569A>G (p.R3857G) VUS;VUS Two heterozygous missense mutations
B151 DNAH5 c.13073G>A (p.R4358Q); c.11569A>G (p.R3857G) VUS;VUS Two heterozygous missense mutations
B156 DNAH11 c.2542G>A (p.V848M); c.12071C>T (p.S4024F) VUS;VUS Two heterozygous missense mutations
B163 DNAH11 c.9260A>G (p.K3087R); c.13175C>T (p.T4392M) VUS;VUS Two heterozygous missense mutations
B167 DNAH11 c.9260A>G (p.K3087R); c.11647C>T (p.L3883F) VUS;VUS Two heterozygous missense mutations
B170 DNAH11 c.2542G>A (p.V848M); c.11624A>G (p.K3875R) VUS;VUS Two heterozygous missense mutations
B176 DNAH11 c.13373C>T (p.P4458L); c.13373C>T (p.P4458L) P;P Homozygous missense mutation
B178 DNAH11 c.6905A>C (p.H2302P); c.13112C>T (p.P4371L) VUS;VUS Two heterozygous missense mutations
B185 DNAH11 c.4898C>A (p.S1633Y); c.9260A>G (p.K3087R) VUS;VUS Two heterozygous missense mutations
B188 RPGR* c.518G>A (p.G173D) LP Missense mutation
B212 DNAH11 c.1300T>C (p.F434L); c.6983C>T (p.P2328L) VUS;VUS Two heterozygous missense mutations
Healthy subjects with two mutations of PCD genes C037 DNAH11 c.2419G>C (p.D807H); c.6724C>G (p.L2242V) VUS;VUS Two heterozygous missense mutations
C075 DNAH11 c.5882A>T (p.Q1961L); c.6902A>G (p.H2301R) VUS;VUS Two heterozygous missense mutations
C057 DNAH11 c.1409G>A (p.R470H); c.5144G>A (p.R1715H) VUS;VUS Two heterozygous missense mutations

*, RPGR is located on the X chromosome (hg19 chrX: 38,143,702-38,186,788). Because patient B188 is a male, only one mutation was displayed herein. CFTR, cystic fibrosis transmembrane conductance regulator; PCD, primary ciliary dyskinesia; DNAH, dynein axonemal heavy chain; RPGR, retinitis pigmentosa GTPase regulator; DNAAF, dynein axonemal assembly factor; CCDC, coiled-coil domain containing; HEATR2, heat repeat-containing protein; ACMG, American College of Medical Genetics and Genomics; VUS, variant of unknown significance; P, pathogenic; LP, likely pathogenic.

PCD gene mutations

We detected 117 rare variants of PCD-associated genes in 101 bronchiectasis patients. When analyzing 20 PCD-associated genes, we identified 36 DNAH11 variants (18 novel variants), 22 DNAH5 variants (11 novel variants), nine CCDC40 variants, seven HEATR2 variants, six variants each of DNAAF2 and DRC1, four variants each of RSPH9 and NME8, three variants each of CCDC114, CCDC39, DNAAF1, DNAAF3, LRRC6, RPGR and DNAI2, two variants of DNAI1, and one CCDC103 variant. Fifty-nine variants (27.3%) were identified for DNAH11 and DNAH5 (Table S2). Moreover, we found eight carriers of c.G1394A(p.R465Q) variant (rs201303241) for HEATR2 in exon 6, which was absent in healthy subjects. Five healthy subjects harbored c.G1270A(p.A424T) variants in exon 6 which were not identified among bronchiectasis patients.

Twenty bronchiectasis patients (17.1%) harbored biallelic variants, of whom 14 (70.0%) had biallelic DNAH11 variants and four (16.0%) harbored biallelic DNAH5 variants (Table 3). Patients B39 and B176 harbored homozygous variants of c.1394G>A(p.R465Q) for HEATR2 and c.13373C>T(p.P4458L) for DNAH11, respectively. Patient B188 harbored c.518G>A(p.G173D) for RPGR. All these bronchiectasis patients had dual missense mutations, except for a single missense mutation plus splice mutation in patient B002, and non-sense mutation in patient B012.

Sixty-nine variants of PCD-associated genes were detected in 60 healthy subjects. When analyzing 15 PCD-associated genes, we identified 36 DNAH11 variants, 16 DNAH5 variants, 11 LRRC6 variants, six variants each for CCDC40, DRC1, and HEATR2, five variants each for DNAI2 and RPGR, four DNAAF3 variants, three variants each for DNAAF1, DNAAF2 and NME8, and two variants each for CCDC114, CCDC39 and RSPH9. Of these, 52 variants (45.6%) were identified for DNAH11 and DNAH5.

Of 60 healthy subjects with missense mutations, 3 (5%) harbored biallelic DNAH11 variants (Table 3).

Clinical manifestations of patients with dual mutations

Twenty-five bronchiectasis patients (13.0%) and three healthy subjects (3.0%) harbored biallelic rare variants of an identical gene (χ2=7.62, P=0.006). Of 25 bronchiectasis patients, 4 (16.0%) harbored biallelic CFTR variants, 4 (16.0%) harbored biallelic DNAH5 variants and 14 (56.0%) harbored biallelic DNAH11 variants (Table 4).

Table 4. Clinical characteristics of bronchiectasis patients with dual mutations associated with DNAH11, DNAH5, and CFTR.

Gene mutation Patient No. Etiology Age (years) BSI No. of bronchiectatic lobes HRCT score Age of symptom onset (yrs) NMCC (s) Cystic bronchiectasis Pseudomonas aeruginosa isolated FEV1% predicted (%) Family history of bronchiectasis
Dual DNAH11 mutation B012 GERD 45 9 5 11 22 NA Yes No 52.4 No
B036 Post-tuberculous 50 5 6 14 47 >1800 Yes No 87.2 No
B073 Idiopathic 37 1 2 4 35 1040 No No 77.8 No
B082 Idiopathic 23 1 2 4 22 930 No No 73.2 No
B099 Post-tuberculous 63 2 3 6 53 776 No Yes 96.2 No
B142 Post-measles 41 2 5 9 1 625 Yes No 62.8 No
B156 Idiopathic 41 4 3 7 17 581 Yes Yes 107.7 No
B163 Idiopathic 67 5 5 7 57 563 No No 99.0 No
B167 IgG1 deficiency 23 10 4 11 5 553 Yes No 54.9 Yes
B170 Post-tuberculous 73 5 1 2 63 548 No No 75.2 No
B176 Idiopathic 27 6 6 16 7 523 Yes Yes 44.3 No
B182 Idiopathic 40 0 1 3 38 503 Yes Yes 86.0 No
B185 Idiopathic 37 0 3 5 27 499 No Yes 112.0 Yes
B212 Idiopathic 39 9 6 17 29 448 Yes Yes 53.0 No
Dual DNAH5 mutation B002 Idiopathic 32 3 3 7 17 NA No No 69.3 No
B128 Idiopathic 69 12 6 12 55 677 Yes Yes 53.0 No
B150* Idiopathic 61 11 2 5 59 596 Yes No 96.9 Yes
B151* GERD 59 9 4 8 56 593 Yes No 67.6 Yes
Dual CFTR mutation B077 Idiopathic 57 2 3 3 54 995 No No 103.9 No
B142 Post-measles 41 2 5 9 40 625 Yes No 62.8 No
B168 Idiopathic 70 5 2 5 67 551 Yes No 63.2 No
B179 Idiopathic 63 3 2 6 43 511 Yes Yes 66.9 No
B180 Post-tuberculous 55 10 4 8 53 506 Yes No 92.6 No

*, patients No. B150 and B151 were sisters. NMCC being equal to or greater than 1,800 seconds was deemed abnormal. BSI, Bronchiectasis Severity Index; GERD, gastroesophageal reflux disease; CFTR, cystic fibrosis transmembrane conductance regulator; DNAH, Dynein axonemal heavy chain; NMCC, nasal mucociliary clearance time (measured with saccharine test); NA, not applicable.

Of 14 patients with biallelic DNAH11 variants, 3 (21.4%) had severe bronchiectasis. The most common etiology was idiopathic (57.1%), followed by post-tuberculous (21.4%). Mean HRCT score was 8.3. Mean forced expiratory volume in one second (FEV1) was 77.3% predicted. Eleven (78.6%) patients had symptom onset for 20–50 years. Eight, six and two patients had cystic bronchiectasis, Pseudomonas aeruginosa isolated from sputum, and a family history of bronchiectasis, respectively.

Of four patients with biallelic DNAH5 variants, 3 (75.0%) had severe bronchiectasis. The most common etiology was idiopathic (75.0%). The mean number of bronchiectatic lobes was 3.8 and HRCT score 8.0. Mean FEV1 was 71.7% predicted. Three patients (75.0%) had symptom onset for 20–50 years. Three, one and two patients had cystic bronchiectasis, Pseudomonas aeruginosa isolated from sputum, and a family history of bronchiectasis, respectively.

Of four patients with biallelic CFTR variants, 1 (20.0%) had severe bronchiectasis, 3 (60.0%) had idiopathic bronchiectasis. Mean HRCT score was 6.2. Four patients had cystic bronchiectasis. Pseudomonas aeruginosa was isolated in one case. No family history of bronchiectasis was documented.

Patient B180 who harbored biallelic CFTR variants and one ENaC variant had greater disease severity (BSI =10) than patient B140, the carrier of CFTR plus ENaC variant (BSI =2). As a carrier of SCNN1B, Patient B180 had more severe bronchiectasis compared with patient B077 (BSI =2) and B168 (BSI =5), carriers of biallelic CFTR variants without ENaC mutation.

Bronchiectasis etiology in patients with biallelic mutations

Of 192 bronchiectasis patients, 26 (13.4%) harbored biallelic mutations or an X-linked pathogenic mutation. The underlying causes of bronchiectasis were idiopathic, post-infectious, gastroesophageal reflux, immunodeficiency and asthma in 16, 6, 2, 1 and 1 each of bronchiectasis patients, respectively.

Discussion

Our study analyzed 32 genes associated with CF and PCD in bronchiectasis. Patients harboring biallelic rare mutations accounted for 13.4% of the cohort. Compared with healthy subjects, homozygous mutation of p.V470M or ENaC plus other CFTR mutations were more frequently observed in patients with bronchiectasis. Compared with bronchiectasis patients with biallelic DNAH11 or CFTR mutations, those with biallelic DNAH5 mutation seemed more likely to have greater bronchiectasis severity.

Altered mucus property arising from CFTR defects and/or ENaC over-expression has been linked to bronchiectasis. Fajac et al. (26) identified five amino-acid changes (p.Ser82Cys, p.Asn288Ser and p.Pro369Thr in ENaCβ; p.Gly183Ser and p.Glu197Lys in ENaCγ) in eight bronchiectasis patients with heterozygous ENaC mutations, and one amino-acid change (p.Ser82Cys) in one patient with CFTR mutation. In our study, none of the biallelic CFTR variants was identified in healthy subjects; three of six variants (50.0%) that were identified among bronchiectasis patients were novel ENaC variants (including SCNN1A, SCNN1B and SCNN1G), whereas SCNN1B variant was detected in healthy subjects only (Table S4). However, SCNN1A mutations alone might be insufficient to result in bronchiectasis, because only the p.W493R-SCNN1A and p.F61L-SCNN1A mutations predisposed to CF-like lung disease via hyperreactive sodium absorption (27). Gain-of-function (auto-dominant) mutation of ENaC predisposed to CF via increased sodium absorption, whereas loss-of-function (auto-recessive) mutation did not invariably result in airway diseases despite perturbed ion transportation (28,29). Nonetheless, whether ENaC mutations belonged to gain- or loss-of-function mutation awaits further investigation.

One of the major pulmonary manifestations of cystic fibrosis is bronchiectasis. The frequency of cystic fibrosis is approximately 1 in 3,500 newborn Caucasians. However, cystic fibrosis has rarely been reported in Chinese patients, and there has been sparse research evidence from China. To our knowledge, fewer than 30 patients have been reported in the Chinese population. In our study, we identified four patients with biallelic CFTR variant but none of the biallelic CFTR variant was identified in healthy subjects, suggesting that CFTR mutations may have played a role in the pathogenesis of bronchiectasis in China. It has been reported that M470 CFTR proteins have a 1.7-fold increased intrinsic chloride channel activity compared with V470 CFTR proteins (30). Additionally, 90% of bronchiectasis patients with mutations harbored the more functional M470 allele (31). In our study, 12 bronchiectasis patients simultaneously harbored M470/M470 and other CFTR variants, as did in one healthy subject. This indicated that homozygous M470 mutation plus other CFTR variants might more readily predispose to bronchiectasis, although further investigations for validation are merited.

ENaC and CFTR mutations reportedly conferred synergistic effects on the development of diffuse bronchiectasis (32). Patient B142 harbored missense mutation c.T953G(p.I318S) of SCCN1A and c.A1666G(p.I556V) of CFTR; patient B180 harbored c.A1666G(p.I556V) and c.C3289T(p.R1097C) mutation of CFTR, and c.A806T(p.Y269F) of SCCN1B. None of these variants was detected among healthy subjects. Moreover, patient B180 who harbored biallelic CFTR mutations plus SCNN1A variant had greater disease severity (BSI =10) than patient B140 (BSI =2) who had CFTR plus SCNN1B variant, and patient B077 (BSI =2) and B168 (BSI =5) who harbored dual CFTR variants but no ENaC variant.

Several variants of PCD-associated genes leading to abnormal ciliary motility have been previously reported. DNAH5 mutation accounted for 27–38% of PCD patients with outer dynein arm defects (33). Despite a smaller proportion of PCD cases being affected and more subtle changes in ciliary ultrastructure, DNAH11 mutation contributed to rigid and hypermotile cilia which hampered mucus clearance (18). Other mutations, including RSPH9 and DNAI1, have been implicated in the pathogenesis of bronchiectasis (17). Through sequencing of PCD-associated auto-recessive mutations (apart from OFD1 and RPGR located in X-chromosomes), we identified 10.9% (n=21) of patients with at least one mutation (DNAH11: 7.3%, DNAH5: 2.6%). Of these, 14 cases harbored dual biallelic DNAH11 heterozygous mutation and four harbored dual biallelic DNAH5 heterozygous mutation (Table 2). Nonetheless, none of the bronchiectasis patients harbored DNAI1 mutation. Intriguingly, patients with DNAH5 mutation had greater disease severity compared with those with DNAH11 mutation (mean BSI: 8.8 vs. 4.2), which corroborated with the findings that DNAH5 mutation led to outer dynein arm defects and that DNAH11 mutation may have limited negative impacts on ciliary ultrastructure (normal or near-normal ultrastructural changes) or motility. Moreover, we have identified eight bronchiectasis patients with HEATR2 mutation (c.1394G>A (p.R465Q), heterogeneous mutation in seven cases), which was absent in healthy subjects, indicating that screening for HEATR2 mutation should be recommended.

Bronchiectasis is a heterogeneous disease with limited therapeutic options (3). Despite exhaustive etiologic assessment, underlying causes cannot be determined in approximately 50% of cases (34). Identifying etiologies might lead to changes in patient’s management (35). In our study, genetically susceptibility was revealed in 13.4% of patients with idiopathic bronchiectasis. Therefore, genetic testing complements conventional etiologic assessment by offering novel molecular information which would stimulate more in-depth research regarding host-defense defects in, and provide novel targets for future interventions of, bronchiectasis.

Nevertheless, we have included uniformly the Chinese Han population, which have limited the generalizability of our findings, as evidenced by the predominance of CFTR mutation in both healthy subjects and bronchiectasis patients. We might have underestimated some clinically significant mutations. Our findings cannot address whether other pathways (e.g., immunodeficiency, airway inflammation) are associated with bronchiectasis. Exploration of the association between genetic mutations of the immune system may help elucidate the mechanisms underlying how immunodeficiency contributes to bronchiectasis pathogenesis. The consequence of mutations has yet to be verified with sweat tests, nasal potential difference measurement and ciliary tests. The putative links between genetic mutations and bronchiectasis await verification with in vivo and in vitro models.

In conclusion, we have identified mutations associated with defective airway host-defense in bronchiectasis. Further development and functional validation of genetic testing for bronchiectasis is warranted.

Methods

Summarized methods for determining bronchiectasis etiologies

Patients were meticulously inquired the past and present history, followed by physical examination, chest (and nasal, if indicated) HRCT assessment, spirometry, diffusing capacity measurement, venous blood sampling (blood routine test and immunoglobulins), sputum collection and culture, saccharine test and simplified reflux questionnaire interview. Patients susceptible of having gastroesophageal reflux disease (GERD), aspergillosis, asthma or chronic obstructive pulmonary disease (COPD) underwent 24-hour esophageal PH monitoring, serum total and Aspergillus fumigatus-specific IgE test, and bronchial dilation test, respectively. Hemagglutinin and auto-antibodies were tested for susceptible cases with diffuse panbronchiolitis and connective tissue diseases, respectively. Other diagnostic tests (e.g., bronchoscopy, gastroscopy) could be performed if appropriate (1,4,36).

Sputum bacteriology

Fresh sputum was sampled during hospital visits. Following removal of debris in oral cavity, patients expectorated into sterile container for bacterial culture. Hypertonic saline (3–5%) induction, previously validated, was applied as appropriate. Sputum was sent for bacterial culture within 2 hours of sampling.

Blood and chocolate agar plates (Biomeurix, France) were adopted as culture media. Fresh sputum was homogenized with SPUTASOL (Oxoid SR089A, Cambridge, UK) and serially diluted with natural saline at concentrations of 10−4, 10−5 and 10−6. This was followed by addition of 10µl respective diluent to the plates with micropipette tube and inoculation using 10 µL standardized rings. Plates were positioned in thermostatic box containing 5% carbon dioxide at 37 degrees for overnight incubation (20).

Assessment of chest HRCT scores

Chest HRCT at collimation of 2 mm or less within 12 months was captured. Bronchiectasis was diagnosed if the internal diameter of bronchi was greater than accompanying pulmonary artery. Miscellaneous signs of bronchiectasis included the lack of normal bronchial tapering along travel on sequential slices and (or) visible bronchi within 10 mm to the pleura. The HRCT score was assessed on a lobar basis, with lingular lobe being regarded as a separate lobe. For an individual lung lobe, the radiological severity of bronchiectasis was scaled by using modified Reiff score. The maximal total score was 18 for a total of six lobes (1,4,36).

Spirometry

Spirometry was conducted by using spirometers (QUARK PFT, COSMED Co. Ltd., Milan, Italy) according to American Thoracic Society/European Respiratory Society guidelines. Variation between the best two maneuvers was <5% or 200 mL in FVC and FEV1, with maximal values being reported. Predicted values were derived from the model by Guan et al. (19,37).

Bronchiectasis severity index

Bronchiectasis severity index (BSI), a novel tool previously validated, was applied to determine the severity of bronchiectasis. The BSI was a composite of clinical parameters, including the age, body-mass index, prior exacerbation and prior hospitalization in the preceding year, modified Medical Research Council dyspnea score, FEV1 predicted%, Pseudomonas aeruginosa infection, colonization with other potentially pathogenic microorganisms (PPMs, including Haemophilus influenzae, Haemophilus parainfluenzae, Staphylococcus aureus, Klebsiella spp and other clinically significant bacteria) and the number of bronchiectatic lobes. The BSI of ≤4, 5–8 and ≥9 denoted mild, moderate and severe bronchiectasis, respectively (22).

Strategies for screening mutants associated with bronchiectasis

Candidate mutants related to bronchiectasis pathogenesis were screened from literature reports (23-25) and official websites, including Human Gene Mutation Database (http://www.hgmd.cf.ac.uk/ac/index.php) and Online Mendelian Inheritance in Man (http://omim.org/). The conservation and pathogenicity of mutants were subsequently determined (Figure S1).

First, we performed a pilot analysis on the sequencing data following gene sequencing with the Ion TorrentTM (Life Technologies Inc., NY, USA), which provided the automatic analyzing systems, the variantCallerTM and coverageAnalysisTM (Life Technologies Inc., NY, USA). The summary of mutation would be displayed through computerized automatic comparisons. We employed the wANNOVAR website for annotating the functional consequences of gene mutants from the sequencing data. This has allowed researchers to screen for candidate mutants using the databases as delineated previously.

Next, the primary source file (*.bam) was generated and subsequently transformed into a readable Excel file (*.xls) following annotation, which was applied for the detailed comparison on candidate mutants with the original database to minimize errors (online: http://jtd.amegroups.com/public/system/jtd/supp-jtd.2018.04.134-1.pdf; http://jtd.amegroups.com/public/system/jtd/supp-jtd.2018.04.134-2.pdf). This would allow investigators to exclude the false-positive mutant loci with poor sequencing quality.

Finally, we targeted at screening for clinically significant mutations including missense, nonsense, frameshift mutation which were likely to lead to conformational or functional changes in proteins. Factors such as the potential pathogenicity (from previously published literature and databases such as NCBI and HGMD), the frequency of SNP (using the 1000 Genome database) and conversation (using SIFT and Polyphen2 software) should be taken into account when determining the panel of candidate mutant genes. In case no significant mutations were identified, we would then proceed to screen for candidate mutants according to their introns or UTR, as well as candidate mutants in the loci with synonymous mutation or splice mutation.

The panel of 32 candidate genes consisted of genes associated with bronchiectasis (CFTR, SCNN1A, SCNN1B and SCNN1G), PCD (CCDC103, CCDC114, CCDC164, CCDC39, CCDC40, DNAAF1, DNAAF2, DNAAF3, DNAH11, DNAH5, DNAI1, DNAI2, DNAL1, HEATR2, LRRC6, OFD1, RPGR, RSPH4A, RSPH9, and TXNDC3) and cystic fibrosis (CF) pathogenesis (EFEMP2, ELN, FBLN5, FLCN, LTBP4, SERPINA1, and ATP7A), and other pathogenic genes (PAM and SLC34A2) (Tables S1-S3).

Deoxyribonucleic acid extraction and mutation identification

Proband deoxyribonucleic acid (DNA), extracted from heparinized venous blood, was detected with NGS platform using customized Ion AmpliSeqTM Panel (Life Technologies Inc., NY, USA). This panel was designed to identify disease-causing mutations in exons and exon-intron boundaries (±50 bp) of bronchiectasis genes and those associated with PCD or cystic fibrosis pathogenesis.

First, fragment libraries were constructed according to manufacturer’s instructions provided in the Ion Community for Ion TorrentTM sequencing using the panel and Ion AmpliSeqTM Library kit 2.0 (Life Technologies Inc., NY, USA).

Next, validation of enrichment and quantification of the resulting library were performed on the Agilent 2100 BioAnalyzer (Agilent Technologies, Santa Clara, CA, USA). Sample emulsion polymerase chain reaction, emulsion breaking, and enrichment were performed on Ion OneTouchTM (Life Technologies Inc.) using Ion OneTouchTM 200 Template Kit (Life Technologies Inc., NY, USA). Ion SphereTM Particles (ISPs) were recovered and template-positive ISPs were enriched using Dynabeads® MyOneTM Streptavidin C1 beads (Life Technologies Inc., NY, USA). ISP enrichment was confirmed using Qubit® 2.0 fluorometer (Life Technologies Inc., NY, USA), and the sample was prepared for sequencing using Ion PGMTM 200 Sequencing Kit protocol (Life Technologies Inc., NY, USA). The sample was then loaded on Ion 316TM chip and sequenced on Ion Torrent PGMTM (Life Technologies Inc., NY, USA). Softwares including Torrent SuiteTM 4.0 (Life Technologies INc., NY, USA), SeattleSeq Annotation 9.00 (Seattle, WA, USA) and Integrative Genomics Viewer 2.1 (IGV, Broad Institute of MIT and Harvard, Cambridge, MA, USA) were utilized to perform bioinformatics analysis, including optimized signal processing, base calling, sequence alignment, and variant analysis.

Finally, pathogenic variants were confirmed by Sanger sequencing using ABI 3730 DNA analyzer (Applied Biosystems, Foster City, CA, USA). Nomenclature for description of mutations was based on http://www.hgvs.org/mutnomen/, using NM_000138.4 as reference sequence.

Results

Mutants associated with CF

Eighteen CF mutants of 21 alleles were detected in 21 of bronchiectasis subjects. Of 100 healthy subjects, 9 CF mutants were detected in 11 cases (Table S4).

Acknowledgements

We thank the bronchiectasis patients who participated in our study and the staffs of the health check-up center for offering the blood specimens.

Funding: National Natural Science Foundation No. 81400010, Pearl River S&T Nova Program of Guangzhou No. 201710010097 and Guangdong Province Universities and Colleges Pearl River Scholar Funded Scheme 2017 (to Dr. Guan), National Natural Science Foundation No. 81500006 (to Dr. Gao), Changjiang Scholars and Innovative Research Team in University ITR0961, The National Key Technology R&D Program of the 12th National Five-year Development Plan 2012BAI05B01 and National Key Scientific & Technology Support Program: Collaborative innovation of Clinical Research for chronic obstructive pulmonary disease and lung cancer No. 2013BAI09B09 (to Profs. Zhong and Chen), and National Natural Science Foundation No. 81230015 and Beijing Science and Technology Plan No. Z151100003915078 (to Prof. Zhang).

Ethical Statement: Ethics approval was obtained from Ethics Committee of The First Affiliated Hospital of Guangzhou Medical University. Written informed consent was obtained.

Footnotes

Conflicts of Interest: The authors have no conflicts of interest to declare.

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