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    "textoCompleto" => "<span class="elsevierStyleSections"><p id="par0005" class="elsevierStylePara elsevierViewall">Bi-allelic pathogenic variants in the cystic fibrosis transmembrane conductance regulator &#40;<span class="elsevierStyleItalic">CFTR</span>&#41; gene are the cause of cystic fibrosis &#40;CF&#41;&#46;<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">1</span></a> More than 2000 specific variants have been reported to date&#46; Most of these alterations are detected in exons and exon-intron boundaries &#40;splicing variants&#41;&#46; Changes in the promoter region&#44; full or partial gene deletions&#44; and more recently&#44; deep intronic splicing variants &#40;DISV&#41; account for the remaining cases&#46; DISV are alterations in the DNA sequence of intronic regions that generate cryptic splicing sites that favour the transcription of intronic sequences &#40;pseudoexons&#41; in mRNA molecules&#46; These pseudoexons serve as templates for the synthesis of dysfunctional proteins&#44; such as the CFTR protein in the case of CF&#44; or create premature stop codons in the pre-mRNA molecules that result in nonsense mediated decay&#46; These pathogenic variants could account for a majority of the 2&#8211;5&#37; of remaining unknown variants in both cystic fibrosis &#40;CF&#41; and CFTR-related disorders &#40;CFTR-RD&#41; patients&#46; The study of intronic sequences requires complex and expensive technology&#46;<a class="elsevierStyleCrossRef" href="#bib0105"><span class="elsevierStyleSup">2</span></a> We implemented next-generation sequencing &#40;NGS&#41; to study CF patients in our Genetic Laboratory in 2014 and were able to identify DISV in the second allele of four historical clinical CF cases that have been followed-up in our CF Unit during the last decades&#46;</p><p id="par0010" class="elsevierStylePara elsevierViewall">In order to assess the role of DISV on CF diagnosis&#44; we present 4 cases of patients with clinical suspicion of CF but with incomplete genotype&#44; in whom we detected DISV by NGS technologies&#46;<a class="elsevierStyleCrossRef" href="#bib0110"><span class="elsevierStyleSup">3</span></a> We used the <span class="elsevierStyleItalic">CFTR</span> MASTR&#8482; Dx kit &#40;Multiplicom&#44; Niel&#44; Belgium&#41; directed to the 27 <span class="elsevierStyleItalic">CFTR</span> coding exons&#44; selected intronic regions or variants and part of the <span class="elsevierStyleItalic">CFTR</span> promoter region&#46;<a class="elsevierStyleCrossRef" href="#bib0115"><span class="elsevierStyleSup">4</span></a> Cases 1&#8211;3 were diagnosed as CF during childhood by clinical manifestations and positive sweat test&#46; However&#44; only one mutated allele was detected in each patient during infancy&#46; Case 4 was followed&#8211;up in our Unit since the age of 19&#46;</p><p id="par0015" class="elsevierStylePara elsevierViewall">The clinical and demographic characteristics of the patients are shown in <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0020" class="elsevierStylePara elsevierViewall">The deep intronic variant c&#46;1680-883A&#62;G &#40;rs1554388867&#44; Legacy name c&#46;1811&#43;1637A&#62;G&#44; intron 12&#41; was detected in cases 1&#8211;3&#44; and the variant c&#46;870-1113&#95;870-1110del &#40;rs397508809&#44; Legacy name c&#46;1002-1110&#95;1113del&#44; intron 7&#41; in case 4&#46; In the first three cases&#44; CF was diagnosed during childhood owing to clinically compatible symptoms and positive sweat tests&#46; The fourth case was initially classified as CFTR-RD at 19 years of age because of clinically compatible symptoms&#44; an inconclusive sweat test &#40;&#60;60<span class="elsevierStyleHsp" style=""></span>mmol&#47;L<span class="elsevierStyleHsp" style=""></span>Cl<span class="elsevierStyleSup">&#8722;</span>&#41;&#44; and the detection of a single variant in the genetic analysis&#46; CF was confirmed genetically 20 years later following the detection of a DISV in the second allele&#46; This patient presented a severe phenotype with altered lung function&#44; low body mass index &#40;BMI&#41;&#44; great extent of bronchiectasis&#44; and a significant delay in diagnosis that could have negatively affected disease progression&#46;</p><p id="par0025" class="elsevierStylePara elsevierViewall">The deep intronic variant c&#46;870-1113&#95;870-1110del&#44; which was found in case 4&#44; is located in intron 7 of the <span class="elsevierStyleItalic">CFTR</span> gene and alters the mRNA splicing process creating a pseudoexon with a 101 nucleotide sequence between exons 6b and 7&#46; This variant was initially identified in one patient with a clinically compatible phenotype and a negative sweat test&#44; and in three Italian patients with a classic CF phenotype&#46;<a class="elsevierStyleCrossRefs" href="#bib0120"><span class="elsevierStyleSup">5&#44;6</span></a> Moreover&#44; 17 patients with CF from other studies have also been diagnosed with this pathogenic variant&#46;<a class="elsevierStyleCrossRefs" href="#bib0130"><span class="elsevierStyleSup">7&#8211;9</span></a> The patients have been reported as manifesting a wide spectrum of phenotypes including severe disease&#44; delayed diagnoses&#44; higher frequencies of diffuse bronchiectasis&#44; with or without colonisation by <span class="elsevierStyleItalic">Pseudomonas aeruginosa</span>&#44; pancreatic sufficiency &#40;PS&#41; that may progress to pancreatic insufficiency &#40;PI&#41; &#40;as in our case 4 patient at 32 years old&#41;&#44; and positive or inconclusive sweat tests&#46; The variability of the phenotype has been related to levels of aberrant mRNA&#44; which is affected by the expression of splicing factor SRp75&#46; Decreasing levels of this factor have been shown to correct abnormal splicing of the variant&#46;<a class="elsevierStyleCrossRef" href="#bib0130"><span class="elsevierStyleSup">7</span></a></p><p id="par0030" class="elsevierStylePara elsevierViewall">The deep intronic variant c&#46;1680-883A&#62;G is a more recently described variant located in intron 12<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">10</span></a> that results in aberrantly spliced transcripts due to the inclusion of a pseudo-exon&#46; Only three cases with this splicing intronic variant have been referenced in the literature and included in the CFTR-France Database&#46;<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">11</span></a> These three reported patients were diagnosed during childhood &#40;2 months&#44; 5 months&#44; and 3 years&#41; and were compound heterozygous with a positive sweat test&#44; with or without PI&#44; with respiratory symptoms at diagnosis&#44; and without further follow-up data&#46;<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">11</span></a> Our three patients with this intronic variant &#40;cases 1&#8211;3&#41; now aged 49&#44; 19 and 22 years respectively&#44; are the only ones with available long-term follow up and progression data&#46; They were diagnosed during childhood with positive sweat tests&#44; are compound heterozygous for severe pathogenic variants and have PI&#44; bilateral bronchiectasis&#44; bronchial colonisation by <span class="elsevierStyleItalic">Staphylococcus aureus</span>&#44; <span class="elsevierStyleItalic">Achromobacter</span> sp&#46; or <span class="elsevierStyleItalic">Pseudomonas aeruginosa</span>&#44; sinusitis and&#47;or nasal polyposis&#44; and preserved lung function&#44; except for case 3&#44; who had very impaired lung function and required a lung transplant at the age of 21&#46; Our data support the involvement of this variant with a severe CF phenotype&#44; in similar manner to c&#46;1680-877G&#62;T and c&#46;1680-886A&#62;G variants&#44;<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">12</span></a> and shows the long-term evolution of these patients when they are subjected to careful follow-up measures &#40;case 3 was referred to our Cystic Fibrosis Unit just for lung transplant&#41;&#46; Bonini et al&#46;<a class="elsevierStyleCrossRef" href="#bib0145"><span class="elsevierStyleSup">10</span></a> developed oligonucleotides that can correct aberrant splicing with the use of target site blocker treatment &#40;TSB&#41;&#44; opening the alternative of a tailored therapy for the causative defect&#46; The use of other techniques capable of correcting aberrant splicing caused by other deep intronic variants have also been described recently&#46;<a class="elsevierStyleCrossRefs" href="#bib0160"><span class="elsevierStyleSup">13&#8211;16</span></a></p><p id="par0035" class="elsevierStylePara elsevierViewall">In conclusion&#44; in CF cases with only one pathogenic variant detected&#44; it is important to sequence the entire <span class="elsevierStyleItalic">CFTR</span> gene regions to confirm genetic diagnosis for management of the patient and to provide adequate genetic counselling&#46; The increasing number of DISV reported<a class="elsevierStyleCrossRefs" href="#bib0145"><span class="elsevierStyleSup">10&#44;17&#44;18</span></a> will provide a better understanding of their pathogenic role in altering mRNA transcription using current technologies&#44; such as NGS and new genome editing tools&#46; This is essential in the present era for designing specific therapeutic approaches to correct the altered CFTR and move towards personalised medicine<a class="elsevierStyleCrossRef" href="#bib0190"><span class="elsevierStyleSup">19</span></a> or 4P medicine &#40;&#8216;personalised&#8217;&#44; &#8216;predictive&#8217;&#44; &#8216;preventive&#8217; and &#8216;participatory&#8217;&#41;&#46;</p><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0005">Funding</span><p id="par0040" class="elsevierStylePara elsevierViewall">This work has been partially supported by a grant of <span class="elsevierStyleGrantSponsor" id="gs1">Fundaci&#243;n Mutua Madrile&#241;a&#46; XIV Convocatoria de Ayudas a la Investigaci&#243;n en Salud&#46; 2017</span>&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Conflicts of interest</span><p id="par0045" class="elsevierStylePara elsevierViewall">The authors have no conflict of interest to disclose&#46;</p></span></span>"
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          "leyenda" => "<p id="spar0010" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleItalic">Abbreviations</span>&#46; CF&#58; cystic fibrosis&#59; NPD&#58; nasal potential difference&#59; ND&#58; not done&#59; FVC&#58; forced vital capacity&#59; FEV1&#58; forced expiratory volume in the first second&#59; BMI&#58; body mass index&#46;</p>"
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                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
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                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Case 1&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
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                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Case 2&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Case 3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th><th class="td" title="\n
                  \t\t\t\t\ttable-head\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Case 4&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Deep intronic splicing variant&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">c&#46;1680-883A&#62;G&#40;Intron 12&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">c&#46;1680-883A&#62;G&#40;Intron 12&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">c&#46;1680-883A&#62;G&#40;Intron 12&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">c&#46;870-1113&#95;870-1110del&#40;Intron 7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Variant second allele<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> &#40;Legacy name&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">c&#46;254G&#62;T&#40;G85V&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">c&#46;3909C&#62;G&#40;N1303K&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">c&#46;3909C&#62;G&#40;N1303K&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">c&#46;1521&#95;1523delCTT&#40;delF508&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Gender&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Female&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Male&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Female&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Female&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Age at diagnosis of CF&#44; years&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">5&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">3&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">39&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Age at deep intronic splicing variant detection&#44; years&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">41&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">18&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">21&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">39&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Current age&#44; yearsSymptoms at diagnosis&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">49Repeated episodes of bronchitis&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">19Repeated episodes of pneumonia&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">22Repeated episodes of pneumonia&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">43Repeated episodes of bronchitis&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Sweat test&#44; mmol&#47;L &#91;Cl<span class="elsevierStyleSup">&#8722;</span>&#93;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">83&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">101&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">116&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">50&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">NPD&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">ND&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Positive&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Bronchial colonisation&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Staphylococcus aureus</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Achromobacter</span> sp&#46;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Achromobacter</span> sp&#46;&#44; <span class="elsevierStyleItalic">Pseudomonas aeruginosa</span>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t"><span class="elsevierStyleItalic">Staphylococcus aureus</span>&#44; <span class="elsevierStyleItalic">Haemophilus influenzae</span>&#44; <span class="elsevierStyleItalic">Achromobacter</span> sp&#46;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Bronchiectasis&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Upper lobes&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Diffuse&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Diffuse&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Diffuse&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Sinusitis and&#47;or nasal polyposis&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Yes&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Yes&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Yes&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Yes&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">FVC&#44; predicted percentage&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">81&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">93&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">41&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">56&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">FEV1&#44; predicted percentage&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">87&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">83&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">20&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">44&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">O<span class="elsevierStyleInf">2</span> saturation&#44; &#37;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">98&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">98&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">94&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">98&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">BMI&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">37&#46;2&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">20&#46;8&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">17&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">19&#46;6&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Pancreatic insufficiency&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Yes&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Yes&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Yes&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">No<span class="elsevierStyleHsp" style=""></span>&#8594;<span class="elsevierStyleHsp" style=""></span>Yes<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">b</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Pancreatitis&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">No&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">No&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">No&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Yes&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Haemoptysis&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">No&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Yes&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Yes&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="\n
                  \t\t\t\t\ttable-entry\n
                  \t\t\t\t  " align="left" valign="\n
                  \t\t\t\t\ttop\n
                  \t\t\t\t">Yes&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr></tbody></table>
                  """
              ]
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                0 => "xTab2648545.png"
              ]
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            0 => array:3 [
              "identificador" => "tblfn0005"
              "etiqueta" => "a"
              "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Variant cDNA name&#46;</p>"
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            1 => array:3 [
              "identificador" => "tblfn0010"
              "etiqueta" => "b"
              "nota" => "<p class="elsevierStyleNotepara" id="npar0010">At 32 years old&#46;</p>"
            ]
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        ]
        "descripcion" => array:1 [
          "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Clinical characteristics&#46;</p>"
        ]
      ]
    ]
    "bibliografia" => array:2 [
      "titulo" => "References"
      "seccion" => array:1 [
        0 => array:2 [
          "identificador" => "bibs0015"
          "bibliografiaReferencia" => array:19 [
            0 => array:3 [
              "identificador" => "bib0100"
              "etiqueta" => "1"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Consensus on the use and interpretation of cystic fibrosis mutation analysis in clinical practice"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:6 [
                            0 => "C&#46; Castellani"
                            1 => "H&#46; Cuppens"
                            2 => "M&#46; Macek Jr&#46;"
                            3 => "J&#46;J&#46; Cassiman"
                            4 => "E&#46; Kerem"
                            5 => "P&#46; Durie"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1016/j.jcf.2008.03.009"
                      "Revista" => array:6 [
                        "tituloSerie" => "J Cyst Fibros"
                        "fecha" => "2008"
                        "volumen" => "7"
                        "paginaInicial" => "179"
                        "paginaFinal" => "196"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/18456578"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            1 => array:3 [
              "identificador" => "bib0105"
              "etiqueta" => "2"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Best practice guidelines for molecular genetic diagnosis of cystic fibrosis and CFTR-related disorders &#8211; updated European recommendations"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:6 [
                            0 => "E&#46; Dequeker"
                            1 => "M&#46; Stuhrmann"
                            2 => "M&#46;A&#46; Morris"
                            3 => "T&#46; Casals"
                            4 => "C&#46; Castellani"
                            5 => "M&#46; Claustres"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1038/ejhg.2008.136"
                      "Revista" => array:6 [
                        "tituloSerie" => "Eur J Hum Genet"
                        "fecha" => "2009"
                        "volumen" => "17"
                        "paginaInicial" => "51"
                        "paginaFinal" => "65"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/18685558"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            2 => array:3 [
              "identificador" => "bib0110"
              "etiqueta" => "3"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
                    0 => array:2 [
                      "titulo" => "Applicability and efficiency of NGS in routine diagnosis&#58; in-depth performance analysis of a complete workflow for CFTR mutation analysis"
                      "autores" => array:1 [
                        0 => array:2 [
                          "etal" => true
                          "autores" => array:6 [
                            0 => "A&#46; Pagin"
                            1 => "A&#46; Devos"
                            2 => "M&#46; Figeac"
                            3 => "M&#46; Truant"
                            4 => "C&#46; Willoquaux"
                            5 => "F&#46; Broly"
                          ]
                        ]
                      ]
                    ]
                  ]
                  "host" => array:1 [
                    0 => array:2 [
                      "doi" => "10.1371/journal.pone.0149426"
                      "Revista" => array:5 [
                        "tituloSerie" => "PLOS ONE"
                        "fecha" => "2016"
                        "volumen" => "11"
                        "paginaInicial" => "e0149426"
                        "link" => array:1 [
                          0 => array:2 [
                            "url" => "https://www.ncbi.nlm.nih.gov/pubmed/26900683"
                            "web" => "Medline"
                          ]
                        ]
                      ]
                    ]
                  ]
                ]
              ]
            ]
            3 => array:3 [
              "identificador" => "bib0115"
              "etiqueta" => "4"
              "referencia" => array:1 [
                0 => array:2 [
                  "contribucion" => array:1 [
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Vol. 57. Issue 7.
Pages 501-503 (July 2021)
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Vol. 57. Issue 7.
Pages 501-503 (July 2021)
Scientific Letter
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Long-term Follow-up in Adult Patients with Cystic Fibrosis and Deep Intronic Splicing Variants
Seguimiento a largo plazo en pacientes adultos con fibrosis quística y variantes de splicing en regiones profundas de los intrones
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Antonio Álvareza,d,e,
Corresponding author
aalvarez@vhebron.net

Corresponding author.
, Karina Loora,d,e, Paula Fernández-Alvarezb,e, Silvia Gartnerc,e, Eva Polverinoa,d,e, Mario Culebrasa,d,e, David Clofenta,d,e, Elena García Arumíb,e, Eduardo F. Tizzanob,e,1, Javier de Graciaa,d,e,1
a Department of Respiratory Medicine – Adult Cystic Fibrosis Unit, Vall d’Hebron Barcelona Hospital Campus, Universitat Autònoma de Barcelona, Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain
b Department of Clinical and Molecular Genetics, Vall d’Hebron Barcelona Hospital Campus, Universitat Autònoma de Barcelona, Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain
c Department of Pediatrics – Pediatric Cystic Fibrosis Unit, Vall d’Hebron Barcelona Hospital Campus, Universitat Autònoma de Barcelona, Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain
d CIBER Enfermedades Respiratorias (Ciberes), Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain
e Vall d’Hebron Institut de Recerca (VHIR), Passeig Vall d’Hebron 119-129, 08035 Barcelona, Spain
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Table 1. Clinical characteristics.
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Dear Editor,

Bi-allelic pathogenic variants in the cystic fibrosis transmembrane conductance regulator (CFTR) gene are the cause of cystic fibrosis (CF).1 More than 2000 specific variants have been reported to date. Most of these alterations are detected in exons and exon-intron boundaries (splicing variants). Changes in the promoter region, full or partial gene deletions, and more recently, deep intronic splicing variants (DISV) account for the remaining cases. DISV are alterations in the DNA sequence of intronic regions that generate cryptic splicing sites that favour the transcription of intronic sequences (pseudoexons) in mRNA molecules. These pseudoexons serve as templates for the synthesis of dysfunctional proteins, such as the CFTR protein in the case of CF, or create premature stop codons in the pre-mRNA molecules that result in nonsense mediated decay. These pathogenic variants could account for a majority of the 2–5% of remaining unknown variants in both cystic fibrosis (CF) and CFTR-related disorders (CFTR-RD) patients. The study of intronic sequences requires complex and expensive technology.2 We implemented next-generation sequencing (NGS) to study CF patients in our Genetic Laboratory in 2014 and were able to identify DISV in the second allele of four historical clinical CF cases that have been followed-up in our CF Unit during the last decades.

In order to assess the role of DISV on CF diagnosis, we present 4 cases of patients with clinical suspicion of CF but with incomplete genotype, in whom we detected DISV by NGS technologies.3 We used the CFTR MASTR™ Dx kit (Multiplicom, Niel, Belgium) directed to the 27 CFTR coding exons, selected intronic regions or variants and part of the CFTR promoter region.4 Cases 1–3 were diagnosed as CF during childhood by clinical manifestations and positive sweat test. However, only one mutated allele was detected in each patient during infancy. Case 4 was followed–up in our Unit since the age of 19.

The clinical and demographic characteristics of the patients are shown in Table 1.

Table 1.

Clinical characteristics.

  Case 1  Case 2  Case 3  Case 4 
Deep intronic splicing variant  c.1680-883A>G(Intron 12)  c.1680-883A>G(Intron 12)  c.1680-883A>G(Intron 12)  c.870-1113_870-1110del(Intron 7) 
Variant second allelea (Legacy name)  c.254G>T(G85V)  c.3909C>G(N1303K)  c.3909C>G(N1303K)  c.1521_1523delCTT(delF508) 
Gender  Female  Male  Female  Female 
Age at diagnosis of CF, years  39 
Age at deep intronic splicing variant detection, years  41  18  21  39 
Current age, yearsSymptoms at diagnosis  49Repeated episodes of bronchitis  19Repeated episodes of pneumonia  22Repeated episodes of pneumonia  43Repeated episodes of bronchitis 
Sweat test, mmol/L [Cl83  101  116  50 
NPD  ND  ND  ND  Positive 
Bronchial colonisation  Staphylococcus aureus  Achromobacter sp.  Achromobacter sp., Pseudomonas aeruginosa  Staphylococcus aureus, Haemophilus influenzae, Achromobacter sp. 
Bronchiectasis  Upper lobes  Diffuse  Diffuse  Diffuse 
Sinusitis and/or nasal polyposis  Yes  Yes  Yes  Yes 
FVC, predicted percentage  81  93  41  56 
FEV1, predicted percentage  87  83  20  44 
O2 saturation, %  98  98  94  98 
BMI  37.2  20.8  17  19.6 
Pancreatic insufficiency  Yes  Yes  Yes  NoYesb 
Pancreatitis  No  No  No  Yes 
Haemoptysis  No  Yes  Yes  Yes 

Abbreviations. CF: cystic fibrosis; NPD: nasal potential difference; ND: not done; FVC: forced vital capacity; FEV1: forced expiratory volume in the first second; BMI: body mass index.

a

Variant cDNA name.

b

At 32 years old.

The deep intronic variant c.1680-883A>G (rs1554388867, Legacy name c.1811+1637A>G, intron 12) was detected in cases 1–3, and the variant c.870-1113_870-1110del (rs397508809, Legacy name c.1002-1110_1113del, intron 7) in case 4. In the first three cases, CF was diagnosed during childhood owing to clinically compatible symptoms and positive sweat tests. The fourth case was initially classified as CFTR-RD at 19 years of age because of clinically compatible symptoms, an inconclusive sweat test (<60mmol/LCl), and the detection of a single variant in the genetic analysis. CF was confirmed genetically 20 years later following the detection of a DISV in the second allele. This patient presented a severe phenotype with altered lung function, low body mass index (BMI), great extent of bronchiectasis, and a significant delay in diagnosis that could have negatively affected disease progression.

The deep intronic variant c.870-1113_870-1110del, which was found in case 4, is located in intron 7 of the CFTR gene and alters the mRNA splicing process creating a pseudoexon with a 101 nucleotide sequence between exons 6b and 7. This variant was initially identified in one patient with a clinically compatible phenotype and a negative sweat test, and in three Italian patients with a classic CF phenotype.5,6 Moreover, 17 patients with CF from other studies have also been diagnosed with this pathogenic variant.7–9 The patients have been reported as manifesting a wide spectrum of phenotypes including severe disease, delayed diagnoses, higher frequencies of diffuse bronchiectasis, with or without colonisation by Pseudomonas aeruginosa, pancreatic sufficiency (PS) that may progress to pancreatic insufficiency (PI) (as in our case 4 patient at 32 years old), and positive or inconclusive sweat tests. The variability of the phenotype has been related to levels of aberrant mRNA, which is affected by the expression of splicing factor SRp75. Decreasing levels of this factor have been shown to correct abnormal splicing of the variant.7

The deep intronic variant c.1680-883A>G is a more recently described variant located in intron 1210 that results in aberrantly spliced transcripts due to the inclusion of a pseudo-exon. Only three cases with this splicing intronic variant have been referenced in the literature and included in the CFTR-France Database.11 These three reported patients were diagnosed during childhood (2 months, 5 months, and 3 years) and were compound heterozygous with a positive sweat test, with or without PI, with respiratory symptoms at diagnosis, and without further follow-up data.11 Our three patients with this intronic variant (cases 1–3) now aged 49, 19 and 22 years respectively, are the only ones with available long-term follow up and progression data. They were diagnosed during childhood with positive sweat tests, are compound heterozygous for severe pathogenic variants and have PI, bilateral bronchiectasis, bronchial colonisation by Staphylococcus aureus, Achromobacter sp. or Pseudomonas aeruginosa, sinusitis and/or nasal polyposis, and preserved lung function, except for case 3, who had very impaired lung function and required a lung transplant at the age of 21. Our data support the involvement of this variant with a severe CF phenotype, in similar manner to c.1680-877G>T and c.1680-886A>G variants,12 and shows the long-term evolution of these patients when they are subjected to careful follow-up measures (case 3 was referred to our Cystic Fibrosis Unit just for lung transplant). Bonini et al.10 developed oligonucleotides that can correct aberrant splicing with the use of target site blocker treatment (TSB), opening the alternative of a tailored therapy for the causative defect. The use of other techniques capable of correcting aberrant splicing caused by other deep intronic variants have also been described recently.13–16

In conclusion, in CF cases with only one pathogenic variant detected, it is important to sequence the entire CFTR gene regions to confirm genetic diagnosis for management of the patient and to provide adequate genetic counselling. The increasing number of DISV reported10,17,18 will provide a better understanding of their pathogenic role in altering mRNA transcription using current technologies, such as NGS and new genome editing tools. This is essential in the present era for designing specific therapeutic approaches to correct the altered CFTR and move towards personalised medicine19 or 4P medicine (‘personalised’, ‘predictive’, ‘preventive’ and ‘participatory’).

Funding

This work has been partially supported by a grant of Fundación Mutua Madrileña. XIV Convocatoria de Ayudas a la Investigación en Salud. 2017.

Conflicts of interest

The authors have no conflict of interest to disclose.

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Senior authors from Clinical and Molecular Genetics and Respiratory Departments.

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