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Human Molecular Genetics logoLink to Human Molecular Genetics
. 2014 Oct 9;24(4):1119–1126. doi: 10.1093/hmg/ddu524

Identification of two novel mutations in FAM136A and DTNA genes in autosomal-dominant familial Meniere's disease

Teresa Requena 1, Sonia Cabrera 1, Carmen Martín-Sierra 1, Steven D Price 2, Anna Lysakowski 2, José A Lopez-Escamez 1,3,*
PMCID: PMC4834881  PMID: 25305078

Abstract

Meniere's disease (MD) is a chronic disorder of the inner ear defined by sensorineural hearing loss, tinnitus and episodic vertigo, and familial MD is observed in 5–15% of sporadic cases. Although its pathophysiology is largely unknown, studies in human temporal bones have found an accumulation of endolymph in the scala media of the cochlea. By whole-exome sequencing, we have identified two novel heterozygous single-nucleotide variants in FAM136A and DTNA genes, both in a Spanish family with three affected cases in consecutive generations, highly suggestive of autosomal-dominant inheritance. The nonsense mutation in the FAM136A gene leads to a stop codon that disrupts the FAM136A protein product. Sequencing revealed two mRNA transcripts of FAM136A in lymphoblasts from patients, which were confirmed by immunoblotting. Carriers of the FAM136A mutation showed a significant decrease in the expression level of both transcripts in lymphoblastoid cell lines. The missense mutation in the DTNA gene produces a novel splice site which skips exon 21 and leads to a shorter alternative transcript. We also demonstrated that FAM136A and DTNA proteins are expressed in the neurosensorial epithelium of the crista ampullaris of the rat by immunohistochemistry. While FAM136A encodes a mitochondrial protein with unknown function, DTNA encodes a cytoskeleton-interacting membrane protein involved in the formation and stability of synapses with a crucial role in the permeability of the blood–brain barrier. Neither of these genes has been described in patients with hearing loss, FAM136A and DTNA being candidate gene for familiar MD.

INTRODUCTION

Meniere's disease (MD, [MIM 156000]) is an inner ear disorder characterized by episodes of vertigo associated with sensorineural hearing loss (SNHL) and tinnitus (1). The prevalence of MD is ∼0.5–1/1000 and it is more common in populations of European descent (2,3). There is a small female preponderance and the typical age of onset is 30–50 years (4,5). In 5–40% of cases, both ears are affected (bilateral disease) (6,7), leading to a severe hearing impairment and chronic imbalance, resulting in a huge burden for the patient and inability to work (8,9).

Histopathological studies in human temporal bones have found an accumulation of endolymph in the scala media of the cochlea, but the origin of the endolymphatic hydrops is unknown (10). The majority of patients with MD are considered sporadic cases, and MD is a multifactorial disorder in which genetic factors probably confer susceptibility to its development (11). The prevalence of MD anticipates that multiple genes would be associated with MD (12). However, the observed clinical heterogeneity in the phenotype among sporadic cases makes difficult the recruitment of a large homogeneous cohort of patients to perform a genome-wide association study, and it has prevented the identification of genes associated with MD. Of note, some patients report relatives with a history of vertigo or SNHL and the frequency of familial cases of MD is around 8–10% among sporadic cases in European population (11,13,14). Focus on multicase families with MD reduces clinical and genetic heterogeneity and the combination of whole-exome sequencing (WES) followed by variant filtering by using unaffected relatives sharing a common genetic background is a reliable strategy to identify novel genes-causing disease (15,16). Most of the families have an autosomal-dominant pattern of inheritance with incomplete penetrance (14,17), but families with recessive inheritance have also been described (18), pointing to a genetic heterogeneity (19). Anticipation, including both earlier onset and tendency to more severe symptoms in successive generations, has also been observed in MD in Swedish (20,21), British (22) and German families (23).

Previous linkage studies in familial MD (FMD) have found candidate loci at 12p12.3 in a large Swedish family (20) and 5q14–15 in another German family (23), but the genes were not identified. However, next-generation sequencing (NGS) techniques have led a new approach to identify new causal genes and mutations in monogenic diseases as well as complex diseases (24). Particularly, WES was used since, 85% of the diseases causing variations are located in exonic regions in Mendelian disorders (25).

We have performed a WES study in a family with three affected cases in consecutive generations. Herein, we report the identification of two novel mutations in FAM136A and DTNA genes, which generate novel protein coding transcripts which may explain the MD phenotype in the family.

RESULTS

FAM136A and DTNA genes

WES and bioinformatics analyses revealed two novel mutations which segregated in all affected cases (Fig. 1A). The presence of both mutations was assessed in different populations with the use of three databases: 1000 Genomes, the National Heart, Lung, and Blood Institute Exome Variant Server, and our in-house exome database (1000 MD cases and 500 controls). In total, data from >10 000 individuals from unrelated populations were reviewed and none of them had the chr2:70527974C>T or chr18:32462094G>T variants.

Figure 1.

Figure 1.

(A) Pedigree of an autosomal-dominant MD family with three affected cases. (B) Chromatogram of the variant chr2:70527974C>T from an affected individual (III.4) is compared with the sequence from a familial control (II.19). (C and E) Zoomed-in view of regions containing the variants, including the amino acid sequences of canonical isoforms and the mutated sequence caused by the variant. (D) A chromatogram of the variant chr18:32462094G>T from an affected (III.4) and control (II.19) subjects.

A single novel heterozygous nonsense variant of interest was found in the gene, Family with sequence similarity 136, member A gene (FAM136A [ENSG00000035141]) at position chr2:70527974C>T (Fig. 1B). In humans, FAM136A has four annotated protein coding transcripts: FAM136A_001 (ENST00000037869), FAM136A_002 (ENST00000450256), FAM136A_004 (ENST00000430566) and FAM136A_005 (ENST00000438759; Supplementary Material, Fig. S1). FAM136A_001 and FAM136A_002 isoforms encompass three exons, but the alternative splice site in FAM136A_002 includes part of the intronic sequence. FAM136A_004 and FAM136A_005 isoforms have extra amino acids as a result of a different splice site. FAM136A_003 (ENST00000460307), besides FAM136A_006 (ENST00000498665), it has a retained intron and no protein product is generated.

The novel mutation leads to a stop codon that disrupts three of these four isoforms (isoforms 1, 4 and 5; Fig. 1C; Supplementary Material, Fig. S1). The predicted pathogenicity of the latter variant is very damaging since it truncates the FAM136A protein, leading to shorter protein products of 76, 182 and 145 amino acids, respectively (Supplementary Material, Table S1).

The second single novel heterozygous missense variant was observed in the Dystrobrevin α gene (DTNA [ENSG00000134769]) at position chr18: 32462094G>T (Fig. 1D). DTNA has 38 annotated transcripts (Supplementary Material, Table S2). The novel mutation produces an amino acid change (VAL to PHE) that modified 15 of the 31 coding isoforms (Fig. 1E) predicted in the Ensembl database. This DTNA missense mutation generates a novel splice-site sequence predicted as a constitutive acceptor (tttccggcagCTGGAGAATG).

FAM136A and DTNA expression

The Expression Atlas (EMBL-EBI) and BioGPS indicates that FAM136 is highly expressed in lymphocytes. So, FAM136A gene expression was analyzed in lymphoblastoid cell lines derived from a patient (III.4) and a familial control (II.19).

Sequencing revealed two mRNA transcripts of 1810 and 936 bps lengths, but only the larger transcript harbored the mutation. Of note, Reverse-transcriptase polymerase chain reaction (RT–PCR) showed that the mutant mRNA (FAM136A_001 Transcript) has a significantly reduced expression (P = 0.002) in lymphoblasts from patients with FMD when compared with controls (Fig. 2). Immunoblotting confirmed the presence of two wild-type protein isoforms (138 and 105 amino acids, respectively) in patient lymphoblasts. However, we were not able to detect the mutant-predicted protein resulting from the novel mutation (76 amino acids, 8 kDa) in either patient (III.4) or control (II.19) immunoblots (Fig. 3).

Figure 2.

Figure 2.

Gene expression of FAM136A in lymphoblastoid cells, as assayed by standard quantitative PCR on cDNA from individuals harboring chr2:70527974C>T and healthy donors. The FAM136A_001 transcript has a significantly reduced Sybr Green expression in patient lymphoblasts when it was compared with controls (asterisk, P = 0.002).

Figure 3.

Figure 3.

Immunoblotting of FAM136A and actin as a loading control from individuals harboring chr2:70527974C>T and healthy donors. The FAM136 band is located at an MW of 16 kDa. Each sample was replicated to minimize the error.

The Expression Atlas (EMBL-EBI) and BioGPS show that DTNA is highly expressed in the brain, retina and inner ear. No biopsy or autopsy material was available from the inner ear or brain and lymphoblasts have a low DTNA expression, so these cells are not the most appropriate cell type to evaluate the impact of this mutation in DTNA expression. However, the splice-site effect was tested in lymphoblasts and it was validated (Fig. 4A). This splice-site skips exon 21 that carries the last five amino acids of the DTNA protein (Fig. 4B and C).

Figure 4.

Figure 4.

Characterization of a new DTNA splice site in lymphoblastoid cells. (A) Gene expression of DTNA, as assayed by nested PCR on cDNA from individuals harboring chr18:32462094G>T (III.4) and healthy donors (II.9). (B) Chromatogram of the variant chr18:32462094G>T from an affected individual (III.4) is compared with the sequence from a familial control (II.9). (C) Zoomed-in view of regions containing the variants, including the amino acid sequences of canonical isoforms and the mutated sequence caused by the splice site which skip exon 21 (49 nucleotide) harboring the last five amino acids.

Immunohistochemical studies

We carried out immunohistochemical studies in the rat inner ear to define the location of FAM136A and DTNA within the vestibular system.

Using confocal microscopy in inner ear rat tissue, we have found that FAM136A co-localizes with the mitochondrial marker COX IV in the basal part of hair cells in the crista ampullaris (Fig. 5A). α-Dystrobrevin was located in supporting cells in the crista, close to the basement membrane (Fig. 5B).

Figure 5.

Figure 5.

Expression of FAM136A and DTNA in adult rat inner ear tissues. (A) Confocal co-localization of FAM136A (green) with mitochondrial marker COX IV (red) and Anti-β-Spectrin II (blue) as staining control, which label cytoskeletal protein and the cuticular plate of hair cells. (B) α-Dystrobrevin (DTNA, green) is expressed in the basal part of supporting cells of the rat crista. Scale bars: (A) 10 μm and (B) 20 μm.

DISCUSSION

Our filtering strategy using an MAF threshold of 0.01 is rather conservative, since it has been recently established an MAF threshold of 0.005 for autosomal-recessive variants and 0.0005 for autosomal-dominant variants for genetic screening of non-syndromic hearing loss (26). We have found novel single-nucleotide variants (SNVs) in FAM136A and DTNA genes in this family and both variants may contribute by independent mechanisms to develop the phenotype.

Although the novel variant of DTNA causes the skipping of the last five amino acids of the protein, it could still be a tolerated loss-of-function mutation (27); however, we cannot rule out this variant, since this splice-site skips a phosphorylation site in serine 740. Moreover, the splice site is close to another phosphorylation site in serine 716 and both could affect the function of the protein.

Both FAM136A and DTNA proteins have been reported to be expressed in the human inner ear (28,29), although orthologous proteins were also found in several species from Rattus norvegicus to Danio rerio (Supplementary Material, Fig. S2). The Shared Harvard Inner-Ear Laboratory Database shows that FAM136A and DTNA proteins are differentially expressed in the mouse inner ear. During the development of the inner ear, FAM136 and DTNA are present in both the cochlea and vestibular organs (30,31), but no gene expression data are available in the adult mouse. The proteins are also present in cochlear and vestibular ganglia.

FAM136A gene appears to encode a protein present in the utricle and cochlea during prenatal development, but subsequently, only present in the utricle after birth. So, FAM136A could be an important protein for development of the inner ear at early stages.

The FAM136A_001 isoform is the most commonly expressed and the protein sequence encoded by this isoform is more similar to mouse and rat orthologs with a homology of 88% (Supplementary Material, Fig. S2). FAM136A_002, FAM136A_004 and FAM136A_005 have a lower homology with these species, ∼70%. Our results show a decreased expression of both isoforms in patient lymphoblasts (FAM136A_001 and FAM136A_002) that could be explained by the loss of function of FAM136A protein and the regulation of FAM136A gene transcription. We predict that the mutation in patients from this family leads to a truncated protein with the formation of an abnormal inactive isoform, possibly processed in the proteasome, in the vestibular end organs that subsequently results in haploinsufficiency. Without autopsy material, or tissue from a FAM136A mutant or knockout model, it is not possible to determine whether the stop codon in FAM136A isoform 1 is aberrantly expressed in the vestibular system and thereby possibly leads to damage in the vestibular endorgans. The patients with this heterozygous mutation do not appear to carry other clinical abnormalities.

DTNA encodes α-dystrobrevin, a structural protein of the dystrophin-associated protein complex, which has been associated with movement disorders such as Duchenne muscular dystrophy. The absence of glial α-dystrobrevin causes abnormalities of the blood–brain barrier and progressive edema in the mouse model (32). In addition, DTNA shows differential expression in the vestibular system during maturation of the inner ear in mice, suggesting also a relevant role in the development of the vestibular system (28). Our immunohistochemical results confirm the presence of α-dystrobrevin in supporting cells in the rat cristae. α-Dystrobrevin is associated with the dystrophin complex of proteins (such as α- and β-dystroglycan, laminin and α-syntrophin) that are found in inner ear endorgans (33,34) (Lysakowski's unpublished data). α-Dystrobrevin and the dystrophin-associated protein complex are an integral part of the cytoskeleton, closely connected to the plasma membrane. Since dystrophin is expressed in the cochlear hair cells in guinea-pig and mouse (28,29), it is expected that structural changes in this protein network can affect the motility of hair cells in the cochlea, and could explain the SNHL observed in this family.

DTNA transcripts are tissue specific and the inner ear transcripts will probably have more similarity with brain transcripts. Without autopsy material, or tissue from a DTNA mutant or knockout model, it is not possible to determine the effect of the new splice site in DTNA in the vestibular system. The distribution of both proteins in the vestibular neuroepithelium of the adult rat and the finding of novel mutations in FAM136A and DTNA genes support a role for both proteins in the pathophysiology of FMD.

In summary, our findings suggest that novel mutations in FAM136A and DTNA genes are probably causal variants in FMD. A decrease expression of FAM136A_001 coding transcript in patient lymphoblasts, leading to haploinsufficiency of FAM136A, and the generation of a novel splice site in DTNA gene, skipping exon 21, suggest a functional role for both mutations. Finally, the localization of FAM136A and α-dystrobrevin in the neuroepithelium of the rat vestibular crista demonstrate that both genes are expressed in adult rats. Future work includes performing immunohistochemistry studies in the rat and mice cochlea to determine with cells types are involved at that level. Moreover, we plan to perform histological examinations in the heterozygous α-dystrobrevin knockout mice to characterize its cochlear and vestibular phenotype to evaluate the development of endolymphatic hydrops.

MATERIALS AND METHODS

Patients and controls

A Spanish family including three affected women in consecutive generations with criteria for definite MD (35), highly suggestive of an autosomal-dominant pattern of inheritance was diagnosed at the Hospital of Poniente, El Ejido, Almería (Fig. 1A). DNA was isolated from blood samples anticoagulant-treated peripheral blood mononuclear cells (PBMCs) using the GenoVision M-48 robot (Qiagen, Venlo, The Netherlands) and the MagAttract DNA Blood Mini M48 (192) kit from Qiagen from the three cases and an unaffected man. Two of the women presented MD with bilateral SNHL (I.6 and III.4) and the third one had MD in the left ear (II.18). The ages of onset were 33, 33 and 22, suggesting anticipation. None of the patients with MD had migraine, but another woman in the second generation (II.17) had episodic dizziness associated with migraine fulfilling the criteria for probable vestibular migraine (36). The unaffected man (II.19) was a sibling of two of the women in the second generation.

This study was approved by the Ethical Review Board for Clinical Research, and an informed consent was obtained from all subjects.

Whole-exome sequencing

Exons and flanking intron regions were selected and captured by Agilent's All Exon 50 MB capture kit. The conditions and primer sets are available on commercial website. Library products were sequenced with SOLiD 5500xl platform and the sequences were analyzed with Lifescope ™ (Applied Biosystems), SAMtools and MAQtools.

Bioinformatics analysis

The search for rare variants (MAF < 1%) that were exclusively found in the three affected women was carried out with different open access Webtools. Initially, 24 248 SNVs were found in common among the three cases. Finally, 167 SNVs, described in Supplementary Material, Table S3, remained after filtering by exome data from 2386 controls. One hundred and fourteen SNVs had been previously annotated in dbSNP 138. Seventy-nine variants were coding and 88 located in non-coding regions (introns, utr-5, near gene-3 and near gene-5). Among the coding variants, 38 were synonymous variants and 41 were non-coding (1 nonsense, 40 missense). Functional annotation software (ANNOVAR) was used to prioritize non-synonymous SNVs according to: (i) the effect in protein structure and phylogenetic conservation by using a seven points scoring system to estimate the pathogenicity risk for each variant (SIFT, Sort Intolerant from Tolerant), PolyPhen2 (Polymorphism Phenotyping v2), Grantham's Matrix, GERP+ (Genomic Evolutionary Rate Profiling), Mutation taster, PhastCons and PhyloP); (ii) cross-species phenotype comparison according to the inheritance pattern, and mouse as model organism phenotype by the Exomiser software (37) and (iii) genomic data fusion combining deleteriousness of the variant, haploinsufficiency prediction and similarity of the given gene to known genes associated with the phenotype by the eXtasy suite (38). The prediction and classification of new splice site was tested with three different tools: ASSP, Human Splicing Finder (Version 2.4.1) and Berkeley Drosophila Genome Project (3941). The URLs for the software used are listed below in Supplementary Material, Table S4.

Small insertions and deletions (indels) shared by all affected cases were searched, but all of them were filtered by our controls. A copy number variation (CNV) analysis was performed to detect and to identify CNVs in WES data of cases segregating with the familial phenotype by using Conifer software (42). Candidate CNVs were plotted with the Nexus Copy Number™ software, but we did not observe any CNV with significant Z-score in the family associated with the MD phenotype.

Finally, since all affected cases had a maternal inheritance, all SNVs in the mitochondrial DNA were considered and compared with Human Mitochondrial Genome Database (mtDB) and a human mitochondrial genome database (MITOMAP). After filtering by familial controls, no novel mutation was found.

Accession number

The clinical variant database accession numbers for the FAM136A and DTNA sequences reported in this paper are SCV000153677 and SCV000153678.

Isolation and culture of lymphoblastoid cells

PBMCs were isolated using a Ficoll gradient and incubated with Epstein-Barr virus to generate a lymphoblastoid cell line. PBMCs were seeded in a sterile Falcon® Cell Culture at a density of 1.5–2 × 106 cells/ml in Gibco® RPMI 1640 containing 20% FBS. EBV crude stock at 1 : 1 ratio was added and placed in an incubator maintained at 37°C with 5% CO2. After 24 h, medium containing viral supernatant was aspirated without disturbing the cells and fresh complete RPMI 1640 was added. After 3–4 weeks of incubation, rosette morphology of cells ascertained the transformed phenotype of PBLs. Lymphoblastoid cell lines were generated from patients and healthy donors. Both cell lines were cultured in Gibco® RPMI 1640 containing 10% FBS. Cells were harvested when confluence was 107 cells/ml.

Validation by Sanger sequencing and expression analyses

Both novel variants were validated by Sanger sequencing of DNA samples in a 3130 Genetic Analyzer (Applied Biosystems). RNA was isolated by using the Qiagen kit (Qiagen) and cDNA was synthesized with the QuantiTect Reverse Transcription Kit (Qiagen) both following the commercial instructions. GAPDH housekeeping gene was used to determine the quality and quantity of cDNA. RT–PCR was used to confirm which isoform of FAM136A was expressed in lymphoblast cell lines. A nested PCR was used to increase DTNA product and validate the splice-site predicted for DTNA gen in RNA obtained from a mutant DTNA lymphoblast cell line. PCR products were loaded on 4% agarose gels to identify which isoforms were expressed (Supplementary Material, Fig. S3). Bands were extracted and purified with the QIAquick Gel Extraction Kit (Qiagen) and the purified products were sequenced by the Sanger technique to validate the results.

Quantitative real-time PCR (Q-PCR) with SYBR® Green RT-PCR techniques (Life Technologies) were performed to determine the expression of FAM136A gene. The data were analyzed with ABI RQ Manager Software (Applied Biosystems). Values for each sample were expressed in ΔCt with their standard deviation.

The primers used to validate the variants of both genes and amplify FAM136A and DTNA isoforms as well as PCR conditions are given in Supplementary Material, Tables S5 and S6.

Western blot

The amount of FAM136A protein in the lymphoblastoid cells was determined using the Bio-Rad Protein Assay and Infinite® 200 PRO NanoQuant. The immunoblots were performed following manufacturer's description (Bio-Rad). The volumes loaded were adjusted so that the amount of protein was equal in all samples in a Mini-PROTEAN® TGX™ Precast Gels and subsequently transfer with Trans-Blot® Turbo™ Transfer System (Bio-Rad). The primary antibody (Santa Cruz, Cat. No. SC-246575) used was raised against an epitope mapping within an internal region of FAM136A homologous to human, rat and mouse FAM136A sequence. The primary antibody (Sigma, Cat. No. A1978) against housekeeping protein anti-β-actin was used to determine the quantity of FAM136A. The chemiluminescence of the blots was recorded in an ImageQuant LAS 4000 and the amount of FAM136 protein was analyzed by ImageJ (43).

Animals and tissue preparation

All the animal experiments were carried out in the facilities of Anatomy and Cell Biology of University Illinois Chicago (UIC). Rodents were housed in the Biological Research Laboratory at UIC. Animal experiments were approved by the local ethical review board and conformed to the Guide for the Care and Use of laboratory animals.

Rats (Rattus norvegicus) were sacrificed by an overdose of barbiturate anesthesia and transcardially perfused. The temporal bones containing the inner ear were dissected, fixed and cryosectioned as previously described (33,44).

Immunofluorescence and antibodies

For immunohistochemistry, 35 µm sections were stained and imaged as previously described (45). Briefly, sections were thawed and permeabilized with 4% Triton X-100 for 1 h at room temperature, blocked with 4% normal goat serum (NGS) in 1× PBS, and incubated with primary antibody in 1% NGS in 1× PBS overnight at 4°C. Goat polyclonal antibodies against FAM136A (Santa Cruz, Cat. No. SC-246575, 1 : 600), α-Dystrobrevin (Santa Cruz, Cat. No. SC-13812, 1 : 400), rabbit polyclonal COX IV (Cell Signaling Technology, Cat. No. #4844, 1 : 400) and mouse monoclonal antibody Anti-β-Spectrin II (BD Biosciences, Cat. No. 612562; 1 : 400).

Primary antibodies were visualized with Alexa-488-conjugated donkey anti-goat (Life Technologies, Cat. No A11055, 1 : 200) Alexa-595-conjugated donkey anti-rabbit (Life Technologies, Cat. No A21207, 1 : 200) Alexa-350-conjugated donkey anti-mouse (Life Technologies, Cat. No A10035, 1 : 200). Sections were rinsed and mounted in Mowiol mounting medium. For all immunoreactions, negative controls (only secondary antibody incubation) were also included. A laser scanning confocal microscope (LSM 710, Carl Zeiss, Oberköchen, Germany) was used for image collecting. Final image processing and labeling was done with Adobe Photoshop (San Jose, CA, USA).

SUPPLEMENTARY MATERIAL

Supplementary Material is available at HMG online.

FUNDING

This study was funded by grants from Consejeria de Salud y Bienestar Social (CSBS)-2012-0242 (T.R.), Short-Term Training CSBS-0374-2013 (T.R.), Meniere's Society UK (J.A.L.E.) and National Institutes of Health R21-DC013181 (A.L.). We also acknowledge the COST Action BM1306 TINNET which supports part of our networking activities (http://tinnet.tinnitusresearch.net/).

Supplementary Material

Supplementary Data

ACKNOWLEDGEMENTS

The authors thank all family members and volunteer controls that participated in this study. We also thank the assistance of Luis Javier Martinez and all the staff of the Genomic Unit at Genyo. We are largely grateful to Jayne Hehir-Kwa and Hannie Kremer (Department of Human Genetics, Radboud University Medical Center) and Carlos Lopez-Otín (Department of Biochemistry and Molecular Biology, University of Oviedo) who facilitated the access to exome databases to filter our candidate variants. T.R. is a PhD student and this work is part of her doctoral thesis.

Conflict of Interest statement. None declared.

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