Abstract
Hearing impairment (HI) is a common disorder of sensorineural function with a highly heterogeneous genetic background. Although substantial progress has been made in the understanding of the genetic etiology of hereditary HI, many genes implicated in HI remain undiscovered. Via exome and Sanger sequencing of DNA samples obtained from consanguineous Pakistani families that segregate profound prelingual sensorineural HI, we identified rare homozygous missense variants in four genes (ADAMTS1, MPDZ, MVD, and SEZ6) that are likely the underlying cause of HI. Linkage analysis provided statistical evidence that these variants are associated with autosomal recessive nonsyndromic HI. In silico analysis of the mutant proteins encoded by these genes predicted structural, conformational or interaction changes. RNAseq data analysis revealed expression of these genes in the sensory epithelium of the mouse inner ear during embryonic, postnatal, and adult stages. Immunohistochemistry of the mouse cochlear tissue, further confirmed the expression of ADAMTS1, SEZ6, and MPDZ in the neurosensory hair cells of the organ of Corti, while MVD expression was more prominent in the spiral ganglion cells. Overall, supported by in silico mutant protein analysis, animal models, linkage analysis, and spatiotemporal expression profiling in the mouse inner ear, we propose four new candidate genes for HI and expand our understanding of the etiology of HI.
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Introduction
Hearing impairment (HI) is a highly heterogeneous and common sensory disorder [1]. The prevalence of congenital HI is estimated to be 1 in 500 newborns [2]. To date >80 genes have been implicated in autosomal recessive (AR) nonsyndromic HI (NSHI). Close to a third of ARNSHI genes have been identified via the study of large Pakistani consanguineous families [2]. Unraveling the genetic etiology of HI is vital to aid in genetic counseling, developing, and delivering therapeutic interventions. We identified homozygous missense variants in candidate genes: ADAMTS1 (OMIM: 605174); MPDZ (OMIM: 603785); MVD (OMIM: 603236); and SEZ6 (OMIM: 616666), which are likely to be the underlying cause of AR sensorineural profound NSHI in four consanguineous Pakistani families. These candidate genes were identified and studied using a combination of technologies that included Sanger and exome sequencing, linkage analysis, and expression studies.
Materials and methods
Sample collection and clinical evaluation
Approval from the Institutional Review Boards of Quaid-i-Azam University (IRB-QAU-153) and Columbia University (IRB-AAAS2343) were obtained for the study. All adult study participants signed informed consent forms and parents provided consents for minors after their assent was obtained. The families were ascertained from Azad Jammu and Kashmir (AJK) (family 4140), Punjab (families 4444 and 4457), and Sindh (4876) provinces. Participant evaluation included obtaining a family and clinical history, available medical records, physical examination, and pure-tone audiometry (250–8000 Hz). Tandem gait and Romberg tests were used to determine if the hearing-impaired family members had gross vestibular dysfunction. Further clinical evaluation was performed to rule out syndromes or HI due to infections, ototoxic medications, or trauma. Peripheral blood samples were collected from all informative participating family members and genomic DNA was extracted [3].
Exome sequencing, variant confirmation, and linkage analysis
To exclude common genetic causes of HI in the Pakistani population, the coding exons of GJB2 and variants in CIB2 [p.(Phe91Ser) and p.(Cys99Trp)], HGF (c.482 + 1986_1988delTGA and c.482 + 1991_2000delGATGATGAAA), and SLC26A4 [p.(Val239Asp) and p.(Gln446Arg)] were Sanger sequenced using DNA samples from family members with HI. Subsequently a DNA sample from an affected family member (4140-VII:2, 4444-VI:3, 4457-VI:2, and 4876-IV:2) from each pedigree was exome sequenced (Fig. 1A). Library construction and exon capture were completed using Roche/Nimblegen SeqCap EZ v3.0 kit (~64 Mb target) (4140-VII:2 and 4457-VI:2); Roche/Nimblegen SeqCap EZ v2.0 kit (~37 Mb target) (4444-VI:3); and Agilent SureSelect Human All Exon V6 kit (~60 Mb target) (4876-IV:2). Reads were aligned to the human reference genome (GRCh37/hg19) using Burrows-Wheeler Aligner [4]. Duplicate reads were marked using Picard. Single nucleotide variants and insertions/deletion were called using the Genome Analysis Toolkit [5]. Annotation was performed using ANNOVAR [6], dbNSFP35a [7], and dbscSNV1.1 [8]. Rare variants [population specific minor allele frequency (MAF) < 0.005 in the Genome Aggregation Database (gnomAD) [9] that were consistent with an AR mode of inheritance and were predicted to affect protein function or pre-mRNA splicing (nonsense, frameshift, missense, start-loss, splice region, etc.) were validated and tested for segregation. Copy number variant (CNV) calls were generated using CONiFER (v0.2.2) [10] and annotated using the BioMart Database [11]. Filtering was performed using a population specific MAF < 0.005 in Database of Genomic Variants [12] and gnomAD. Variants that met the above criteria were visualized using the Integrative Genomics Viewer [13] to exclude likely false-positive calls. Sanger sequencing, using DNA samples from all family members, was performed to validate variants and test for segregation with the NSHI.
After Sanger sequencing, Superlink-Online SNP 1.1 [14] was used for each family to perform two-point linkage analysis for each identified candidate variant. An AR mode of inheritance with complete penetrance and south Asian gnomAD allele frequencies were used to calculate LOD scores at theta=0 (Table 1).
In silico protein analysis and 3D modeling
Structural and functional influence of the identified variants were assessed through a combination of the following in silico tools, including but not limited to: prediction scores from dbnsfp35a, I-MUTANT 3.0 server, PROVEAN-Protein Variation Effect Analyzer, PhD-SNP-Predictor of human Deleterious Single Nucleotide Polymorphisms, SNPs&GO, and Mutation Taster. To predict the effect of variants on the 3D structure of ADAMTS1, MPDZ, MVD, and SEZ6 proteins, homology models were constructed for both native and mutant types using SWISS-MODEL and I-TASSER server [15]. Crystallographic structures corresponding to the following Protein Data Bank [16] IDs; 6O38, 2D92, 3D4J, and 5O32 were used as template for modeling ADAMTS1, MPDZ, MVD, and SEZ6 protein structures, respectively. The structures were visualized and prepared using the PyMOL program.
Immunohistochemistry of the mouse inner ear
Inner ear tissues were dissected from wildtype mice at P1, P4, P12, and P28 stages. The tissues were fixed in 4% paraformaldehyde in phosphate buffered saline (PBS) overnight at 4 °C and subsequently decalcified in 0.25 M EDTA solution overnight at 4 °C. For whole mount immunostaining, the cochlea was micro-dissected. Dissected tissues were embedded in an optimal cutting temperature medium and sectioned on a cryostat to 5 μm sections. Next, specimens were blocked with 10% normal serum in PBS containing 0.25% Triton X-100 (1 h at room temperature), followed by overnight incubation at 4 °C with a primary antibody (1:200) in 3% normal serum in PBS. After incubation with a primary antibody, specimens were washed with 0.25% Triton X-100 in PBS for three times and incubated with the secondary antibody for one hour at room temperature. The wash step was repeated after the incubation with secondary antibodies. F-actin labeling was done using phalloidin 488 nm and rhodamine phalloidin (1:300 dilution) (Invitrogen, Thermofisher Scientific, Waltham, MA, USA). Confocal images were acquired from a Nikon spinning disk W1 confocal microscope and images were processed using ImageJ software. The following primary antibodies were used: sheep anti-mouse ADAMTS1 (AF5867-SP; Novus Biologicals, Centennial, CO, USA), rabbit anti-mouse MPDZ (42-2700; Thermofisher Scientific, Waltham, MA, USA), rabbit anti-mouse MVD (PA5-22164; Thermofisher Scientific), and sheep anti-mouse SEZ6 (PA5-47683; Thermofisher Scientific). The following secondary antibodies were used: Donkey anti-sheep 564 nm for ADAMTS1 and SEZ6 (Invitrogen), Goat anti-rabbit 594 nm for MPDZ (Invitrogen), and Goat anti-rabbit 488 nm for MVD (Invitrogen).
RNA expression profiling of mouse inner ear tissues
To evaluate the RNA expression of Adamst1, Mpdz, Mvd, and Sez6 in the mouse inner ear, publicly available datasets in Gene Expression Omnibus (GEO) database, SHIELD (Shared Harvard Inner-Ear Laboratory Database), and gEAR (gene Expression Analysis Resource) websites were studied in silico. First, RNA-sequencing data of hair cells and surrounding cells in the mouse cochlea and utricle at four developmental stages (E16, P0, P4, and P7) were analyzed [17]. Next, a cell specific transcriptome analysis dataset (GSE111347) that includes the transcriptome of adult pillar and Deiters’ cells of adult CBA/J mice measured via RNA-sequencing was examined [18]. Single cell expression data obtained from the cochlear floor epithelial duct cells of E14, E16, P1, and P7 wild type CD-1 mice pups (accession number GSE137299) were analyzed as well [19]. The expression profile across inner ear epithelial cells for each gene was created through the gEAR analysis suite. We also analyzed the expression of the NSHI candidate genes in adult CBA/J mice (25–35 days after birth) cochlear inner hair cells (IHC) and outer hair cells (OHC), using processed expression data from the study GSE56866 [20] in the GEO database. Lastly, a microarray dataset published by Lu et al. [21] containing the spiral and vestibular ganglion neurons collected at six developmental stages (E12, E13, E16, P0, P6, and P15) were also examined. The dataset obtained from SHIELD contained RNA microarrays of E12 and E13 spiral and vestibular ganglia, as well as E16, P0, P6, and P15 vestibular ganglia from mice embryos or pups.
Results
Clinical evaluation
The clinical examinations and pure-tone audiometry of the affected members of the four families (Fig. 1A) display profound bilateral HI across all frequencies in both ears (Fig. 1B). The onset of HI was prelingual and most likely congenital. There were no indications that the HI is part of a syndrome.
Exome sequencing and Sanger sequencing
Of the rare ARNSHI variants that were identified (Supplementary Table 1) through exome sequencing only four homozygous variants in ADAMTS1 (NM_006988.5) [c.403T>G:p.(Ser135Ala)] family 4457; MPDZ (NM_003829.4) [c.2324C>T:p.(Pro775Leu)] family 4876; MVD (NM_002461.3) [c.1136C>A:p.(Pro379His)] family 4140; and SEZ6 (NM_178860.5) [c.2092G>A:p.(Val698Ile)] family 4444 segregated with HI (Fig. 1A, Table 1 and Supplementary Table 2). None of the other identified variants segregated with NSHI in these families. We also did not identify CNVs that are homozygous or in compound heterozygosity with potentially damaging heterozygous SNVs or indels in the same gene. A significant LOD score (>3.3) was obtained for each variant at Θ=0 (LOD = 3.56 [c.403T>G:p.(Ser135Ala), ADAMTS1]; LOD = 3.70 [c.1136C>A:p.(Pro379His), MVD]; and LOD = 4.97 [c.2092G>A:p.(Val698Ile), SEZ6]) with the exception of the c.2324C>T:p.(Pro775Leu) MPDZ variant for which only a suggestive LOD score of 1.93 was observed (Table 1).
In silico protein analysis and 3D modeling
Homology modeling and protein threading techniques were utilized to predict the wild and mutant type three-dimensional protein structures of ADAMTS1, MPDZ, MVD, and SEZ6 (Fig. 2). The p.Ser135 of ADAMTS1 resides on the surface loop region and the polar side chain replaced by the small non-reactive side chain of alanine in ADAMTS1 [p.(Ser135Ala)] might change the solvent accessible surface area of the mutant protein. For wild-type MDPZ Proline is commonly found in turns, hence its observed replacement by Leucine might yield considerably destabilizing conformational changes to the native MDPZ folding. For MVD a substitution of a proline with histidine at amino acid position 379 was observed. The p.Pro379 is one of the nonpolar aliphatic amino acids, reside at β- strand while histidine has an imidazole aromatic ring, an ionizable side chain, which allows histidine to have a variety of interactions such as cation-π, hydrogen-π and π-π stacking interactions. The substitution by the less hydrophobic and more flexible histidine could induce local structural confirmation as displayed by difference in the interaction distance with the partner interacting residues. In case of [p.(Val698Ile)] for SEZ6, which resides in the β-sheet, a smaller aliphatic side chain replaced by a larger aliphatic side chain may fill the space in the protein core. The difference in interaction distance may cause slight destabilization of the SEZ6 protein but not totally damage the protein structure.
Expression of candidate genes in the mouse inner ear
The four genes are expressed either ubiquitously, during the stages of development of the ear or in parts of the inner ear that can impact hearing (Table 2). The analysis with the various data sets available in GEO and gEAR databases show that the orthologous genes of ADAMTS1, MPDZ, MVD, and SEZ6 are expressed throughout the cochlear epithelium during the E14, E16, P1, and P7 (Supplementary Figs. 1–5). Additionally, the analysis of hair cell data sets showed that these genes are expressed in IHC during E14-P1 (Supplementary Figs. 6 and 7) and in the OHC during E14-P7 (Supplementary Figs. 8 and 9) stages of CD-1 mice. Sez6 expression was particularly localized in the IHC (Supplementary Figs. 6 and 7) and OHC (Supplementary Figs. 8 and 9) during E16, P1, and P7 (Supplementary Figs. 2–5) for the CD-1 mice. Localized expression of Sez6 was also observed in inner phalangeal cells at E16 and outer sulcus cells at P7 (Supplementary Figs. 2 and 4). In the cochlea and utricle (Fig. 3A) the expression of the four genes varied during the developmental stages (E16, P0, P4, and P7). Adamts1 is expressed in the surrounding cells of the cochlea and utricle. Mpdz is mainly expressed in the hair cells of the cochlea over all four developmental stages, with highest expression during E16. Mvd shows a variable expression in the surrounding cells of the cochlea and utricle during development. Sez6 displays the highest expression in the hair cells of the utricle during development (Fig. 3A). The expressions of all four genes were detected in adult IHC, OHC (Supplementary Fig. 10), pillar and Deiters’ cells in adult CBA/J mice (Fig. 3B). The four candidate genes were also expressed in the spiral and vestibular ganglions (Supplementary Fig. 11). Immunohistochemistry at P12 demonstrates that Adamts1 and Sez6 are expressed in stereocilia as well as the cytoplasm of the outer hair cells (Fig. 4A). Mpdz/Mupp1 is expressed in the cytoplasmic region of hair cells at P12 (Fig. 4A). At P1, P4, and P28, Mvd is expressed in the spiral ganglion cells (Fig. 4B and C).
Discussion
We identified candidate HI genes, ADAMTS1, MPDZ, MVD, and SEZ6, via exome sequencing of DNA samples obtained from four consanguineous Pakistani families that segregate ARNSHI. The affected family members exhibit profound HI with no additional phenotypic features. To further support the role of these genes in hearing we evaluated the gene expression in the mouse inner ear via immunohistochemistry and RNA expression data from GEO, gEAR, and SHIELD databases. Adamts1, Mpdz, Mvd, and Sez6 were all expressed in the inner ear during the embryonic, postnatal, and adult stages, suggesting an involvement of the encoded proteins in the development and maintenance of the cochlear sensory epithelium. Our analysis showed widespread expression of Adamts1, Mpdz, and Mvd in the cochlear epithelium while Sez6 expression is localized to the hair cells. Immunohistochemistry results confirmed the expression of ADAMTS1, MPDZ, and SEZ6 in the hair cells. Additionally, it also demonstrated that MVD is expressed in the spiral ganglion cells, which play an integral part in the perception of sound.
ADAMTS1, is a member of the matrix metalloproteinases (MMPs) family. ADAMTS1 and members of this family of metalloproteinases are secreted and either bind extracellular matrix components or attach to the cell surface through particular regulatory mechanisms. ADAMTS1 is responsible for mediating acute regulated tissue remodeling processes that occur in development [22]. We identified a missense variant [c.403T>G:p.(Ser135Ala)] in ADAMTS1 which segregated with HI, is predicted to be deleterious and may affect the solvent accessible surface area of the mutant protein. Our analysis shows the presence of Adamts1 in the inner ear from as early as embryonic stage E12 to the adult stages indicating a role in both development and functioning of the inner ear. A study of mice MMPs has revealed that these proteins are involved in the modulation of cochlear responses to acoustic trauma in rats. Adamts1 was found to be upregulated after exposure to noise in the mouse sensory epithelium [23], suggesting a role for Adamts1 in the response to acoustic trauma.
MPDZ, the multidomain PDZ domain protein (MPDZ/MUPP1) contains 13 PDZ domains, and mainly serves as a mediator of multiple protein–protein interactions as a scaffold protein [24]. The variant we identified, c.2324C>T:p.(Pro775Leu), is predicted to result in considerably destabilizing conformational changes to the protein. MPDZ has previously been associated with congenital hydrocephalus with and without brain or eye anomalies, posteriorly rotated ears, and sensorineural HI [25], however it has not been implicated in NSHI. Mpdzem1(IMPC)J homozygous mice, generated and phenotyped by the International Mouse Phenotyping Consortium have mild hearing loss that affects all frequencies [reduced auditory brainstem response (p = 4.93 × 10–12)][26]. MUPP-1/MPDZ bind integral membrane proteins like claudins and link the tight junction (TJ) to the actin cytoskeleton [27, 28]. In the organ of Corti, TJs of reticular lamina (which consists of a mixture of sensory hair and supporting cells) separate K+-rich endolymph and Na+-rich perilymph [27], and also gives structural support to auditory neuroepithelium. Our analyses showed that Mpdz was highly expressed in the cochlear epithelium including cochlear hair cells, utricle hair cells, OHCs, IHCs, surrounding hair cells to the cochlea and utricle and cytoplasmic region of the hair cells. Various studies have identified high concentration of MPDZ in TJs due to possible interactions with other membrane associated proteins [29]. Some of these partner molecules are those that support the TJs in the inner ear but whether these functional associations with Mpdz are also maintained in the inner ear has not been studied.
The mevalonate pyrophosphate decarboxylase enzyme encoded by MVD plays a pivotal role in the pre-squalene stage of the mevalonate pathway that performs the first step in the biosynthesis of isoprenes/cholesterol [30]. Cholesterol and isoprenoid compounds are essential for the development and function of the neurons in the central nervous system [31]. The identified MVD variant, c.1136C>A:p.(Pro379His) may affect the interactions of the mutant protein. Defects in both pre and post-squalene pathways of cholesterol synthesis are associated with neurodegenerative and dermatological conditions [32]. It has also been suggested that hypercholesterolemia may be linked to HI in both animal models and humans [33]. Cholesterol plays a role in the regulation of auditory calcium and calcium-activated potassium channels augmenting the growing evidence that it is a strategic factor in auditory physiology [34]. Ion channels are critical for the spiral ganglion neurons in establishing the differences in response properties that are crucial for normal hearing [35], and our immunohistochemistry results show, the Mvd is preferentially expressed in the spiral ganglion cells. In addition, variations in cochlear cholesterol levels modulate the amplitude of distortion product otoacoustic emissions, consistent with changes in electromotility [36]. Further, the cholesterol levels in OHCs are also linked to the capacitance, electromotility and electrical signature associated with the function of prestin, a transmembrane protein critical to sensitive hearing and OHC electromotility in mammals [37]. RNA expression analysis indicated that Mvd exhibits a widespread expression in the cochlear epithelium, IHCs, OHCs, and surrounding hair cells to the utricle and cochlea.
The SEZ6 gene encodes the seizure-related 6 protein and has a restricted expression profile. It is primarily concentrated in the brain (in the somatodendritic surface of neurons) [38], and is considered to be involved in synaptic development and function [39]. In our analysis we found that in the inner ear cells SEZ6 has a highly localized expression in the hair, deiter’s, pillar, and outer sulcus cells, stereocilia and cytoplasm of OHCs. The expression was highly varied across developmental stages with a higher expression levels during the postnatal than the embryonic stage. In mice, the Sez6 family has been shown to be involved in modulation of synapse numbers, synaptic plasticity, and dendrite morphology in the cortex and hippocampus and neuronal connectivity in the cerebellum. It was also observed that the loss of the gene results in impaired cognition, motor learning, and motor functions. To date, no studies have reported SEZ6 variants to be involved in HI although genetic variants of SEZ6 family proteins have been associated or are potential candidates for several neurodevelopmental disorders [40]. The c.2092G>A:p.(Val698Ile) is predicted to result in destabilizing changes without totally damaging the structure of the protein. It has been observed that SEZ6 acts as a trafficking factor for GluK2/K3 [41], which are part of the KAR family (GluK1, GluK2, GluK3, and GluK5). The KARs are a group of ionotropic glutamate receptors found to be localized in adult OHC and IHC afferent synapses and terminals [42], which function coordinately in transferring acoustic signals across the synapses. In our analyses, we have observed that Sez6 has higher expression levels in the postnatal stages and is expressed in both the cytoplasm and stereocilia of hair cells, supporting the role of Sez6 in mediating acoustic signals. Taken together, this evidence implies a role of SEZ6 in neurotransmission in the hair cells, which is supported by its localized expression pattern in the inner ear hair cells.
In conclusion, we identified four candidate genes for ARNSHI, that all show expression in the developing and/or adult inner ear. The identified variants are predicted to lead to structural, conformational, and interaction changes to the protein. The variants segregate with profound prelingual bilateral sensorineural HI and for three of the variants there is significant evidence of linkage providing additional support to their role in ARNSHI. Although for the MPDZ variant only suggestive linkage was observed, a mouse model with HI further supports its involvement in NSHI etiology. The identification of ARNSHI candidates, ADAMTS1, MPDZ, MVD, and SEZ6 aids in further expanding our knowledge of HI etiology.
Data availability
The variants have been submitted to ClinVar database [Accession numbers: SCV001478241 (ADAMTS1 [c.403T>G:p.(Ser135Ala)]), SCV001478242 (MPDZ [c.2324C>T:p.(Pro775Leu)]), SCV001478243 (MVD [c.1136C>A:p.(Pro379His)]), and SCV001478244 (SEZ6 [c.2092G>A:p.(Val698Ile)])].
References
World Health Organization (WHO). 2018, https://www.who.int/health-topics/hearing-loss.
Richard EM, Santos‐Cortez RLP, Faridi R, Rehman AU, Lee K, Shahzad M, et al. Global genetic insight contributed by consanguineous Pakistani families segregating hearing loss. Hum Mutat. 2019;40:53–72.
Sambrook J, Russell DW. Purification of nucleic acids by extraction with phenol:chloroform. Cold Spring Harb Protoc. 2006;2006:pdb.prot4455.
Li H, Durbin R. Fast and accurate short read alignment with Burrows–Wheeler transform. Bioinformatics. 2009;25:1754–60.
McKenna A, Hanna M, Banks E, Sivachenko A, Cibulskis K, Kernytsky A, et al. The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res. 2010;20:1297–303.
Wang K, Li M, Hakonarson H. ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data. Nucleic Acids Res. 2010;38:e164.
Liu X, Wu C, Li C, Boerwinkle E. dbNSFP v3.0: a one-stop database of functional predictions and annotations for human nonsynonymous and splice-site SNVs. Hum Mutat. 2016;37:235–41.
Jian X, Boerwinkle E, Liu X. In silico prediction of splice-altering single nucleotide variants in the human genome. Nucleic Acids Res. 2014;42:13534–44.
Karczewski KJ, Francioli LC, Tiao G, Cummings BB, Alföldi J, Wang Q, et al. The mutational constraint spectrum quantified from variation in 141,456 humans. Nature. 2020;581:434–43.
Krumm N, Sudmant PH, Ko A, O’Roak BJ, Malig M, Coe BP, et al. Copy number variation detection and genotyping from exome sequence data. Genome Res. 2012;22:1525–32.
Smedley D, Haider S, Durinck S, Pandini L, Provero P, Allen J, et al. The BioMart community portal: an innovative alternative to large, centralized data repositories. Nucleic Acids Res. 2015;43:W589–98.
MacDonald JR, Ziman R, Yuen RKC, Feuk L, Scherer SW. The Database of Genomic Variants: a curated collection of structural variation in the human genome. Nucleic Acids Res. 2014;42:D986–92.
Robinson JT, Thorvaldsdóttir H, Winckler W, Guttman M, Lander ES, Getz G, et al. Integrative genomics viewer. Nat Biotechnol. 2011;29:24–6.
Silberstein M, Tzemach A, Dovgolevsky N, Fishelson M, Schuster A, Geiger D. Online system for faster multipoint linkage analysis via parallel execution on thousands of personal computers. Am J Hum Genet. 2006;78:922–35.
Yang J, Zhang Y. I-TASSER server: new development for protein structure and function predictions. Nucleic Acids Res. 2015;43:W174–81.
Berman HM, Westbrook J, Feng Z, Gilliland G, Bhat TN, Weissig H, et al. The protein data bank. Nucleic Acids Res. 2000;28:235–42.
Scheffer DI, Shen J, Corey DP, Chen Z-Y. Gene expression by mouse inner ear hair cells during development. J Neurosci. 2015;35:6366–80.
Liu H, Chen L, Giffen KP, Stringham ST, Li Y, Judge PD, et al. Cell-specific transcriptome analysis shows that adult pillar and deiters’ cells express genes encoding machinery for specializations of cochlear hair cells. Front Mol Neurosci. 2018;11:356–356.
Kolla L, Kelly MC, Mann ZF, Anaya-Rocha A, Ellis K, Lemons A, et al. Characterization of the development of the mouse cochlear epithelium at the single cell level. Nat Commun. 2020;11:2389.
Liu H, Pecka JL, Zhang Q, Soukup GA, Beisel KW, He DZZ. Characterization of transcriptomes of cochlear inner and outer hair cells. J Neurosci. 2014;34:11085–95.
Lu CC, Appler JM, Houseman EA, Goodrich LV. Developmental Profiling of Spiral Ganglion Neurons Reveals Insights into Auditory Circuit Assembly. J Neurosci 2011;31(Jul):10903–18.
Ricciardelli C, Frewin KM, Tan I, de A, Williams ED, Opeskin K, et al. The ADAMTS1 Protease Gene Is Required for Mammary Tumor Growth and Metastasis. Am J Pathol 2011;179(Dec):3075–85.
Hu BH, Cai Q, Hu Z, Patel M, Bard J, Jamison J, et al. Metalloproteinases and Their Associated Genes Contribute to the Functional Integrity and Noise-Induced Damage in the Cochlear Sensory Epithelium. J Neurosci 2012;32(Oct):14927–41.
Ullmer C, Schmuck K, Figge A, Lübbert H. Cloning and characterization of MUPP1, a novel PDZ domain protein. FEBS Lett 1998;424(Mar):63–8.
Al-Dosari MS, Al-Owain M, Tulbah M, Kurdi W, Adly N, Al-Hemidan A, et al. Mutation in MPDZ causes severe congenital hydrocephalus. J Med Genet 2013;50(Jan):54–8.
Bowl MR, Simon MM, Ingham NJ, Greenaway S, Santos L, Cater H, et al. A large scale hearing loss screen reveals an extensive unexplored genetic landscape for auditory dysfunction. Nat Commun. 2017;8:886.
Nakano Y, Kim SH, Kim H-M, Sanneman JD, Zhang Y, Smith RJH, et al. A claudin-9–based ion permeability barrier is essential for hearing. PLoS Genet. 2009;5:e1000610.
Ben-Yosef T. Claudin 14 knockout mice, a model for autosomal recessive deafness DFNB29, are deaf due to cochlear hair cell degeneration. Hum Mol Genet. 2003;12:2049–61.
Hamazaki Y, Itoh M, Sasaki H, Furuse M, Tsukita S. Multi-PDZ domain protein 1 (MUPP1) is concentrated at tight junctions through its possible interaction with claudin-1 and junctional adhesion molecule. J Biol Chem. 2002;277:455–61.
Toth MJ, Huwyler L. Molecular cloning and expression of the cDNAs encoding human and yeast mevalonate pyrophosphate decarboxylase. J Biol Chem. 1996;271:7895–8.
Cartocci V, Catallo M, Tempestilli M, Segatto M, Pfrieger FW, Bronzuoli MR, et al. Altered brain cholesterol/isoprenoid metabolism in a rat model of autism spectrum disorders. Neuroscience. 2018;372:27–37.
Kanungo S, Soares N, He M, Steiner RD. Sterol metabolism disorders and neurodevelopment—an update. Dev Disabil Res Rev. 2013;17:197–210.
Malgrange B, Varela-Nieto I, de Medina P, Paillasse MR. Targeting cholesterol homeostasis to fight hearing loss: a new perspective. Front Aging Neurosci. 2015;7:3.
Organ LE, Raphael RM. Lipid lateral mobility in cochlear outer hair cells: regional differences and regulation by cholesterol. J Assoc Res Otolaryngol. 2009;10:383–96.
Korinek M, Gonzalez-Gonzalez IM, Smejkalova T, Hajdukovic D, Skrenkova K, Krusek J, et al. Cholesterol modulates presynaptic and postsynaptic properties of excitatory synaptic transmission. Sci Rep. 2020;10:12651.
Purcell EK, Liu L, Thomas PV, Duncan RK. Cholesterol influences voltage-gated calcium channels and BK-type potassium channels in auditory hair cells. PLOS One 2011;6:e26289.
Reijntjes DOJ, Lee JH, Park S, Schubert NMA, van Tuinen M, Vijayakumar S, et al. Sodium-activated potassium channels shape peripheral auditory function and activity of the primary auditory neurons in mice. Sci Rep. 2019;9:2573.
Kim MH, Gunnersen JM, Tan S-S. Localized expression of the seizure-related gene SEZ-6 in developing and adult forebrains. Mech Dev. 2002;118:171–4.
Gunnersen JM, Kim MH, Fuller SJ, De Silva M, Britto JM, Hammond VE, et al. Sez-6 proteins affect dendritic arborization patterns and excitability of cortical pyramidal neurons. Neuron 2007;56:621–39.
Paracchini L, Beltrame L, Boeri L, Fusco F, Caffarra P, Marchini S, et al. Exome sequencing in an Italian family with Alzheimer’s disease points to a role for seizure-related gene 6 (SEZ6) rare variant R615H. Alzheimers Res Ther. 2018;10:106.
Pigoni M, Hsia H-E, Hartmann J, Rudan Njavro J, Shmueli MD, Müller SA, et al. Seizure protein 6 controls glycosylation and trafficking of kainate receptor subunits GluK2 and GluK3. EMBO J. 2020;39:e103457.
Fujikawa T, Petralia RS, Fitzgerald TS, Wang Y-X, Millis B, Morgado-Díaz JA, et al. Localization of kainate receptors in inner and outer hair cell synapses. Hear Res. 2014;314:20–32.
Acknowledgements
We thank the family members who participated in the study.
Funding
This work was supported by the Higher Education Commission of Pakistan (to WA) and National Institutes of Health (NIH)-National Institute of Deafness and other Disorders grants R01 DC011651 and R01 DC003594 (to SML). Exome sequencing was partially provided by the University of Washington Center for Mendelian Genomics (UW-CMG) and was funded by NHGRI and NHLBI grants UM1 HG006493 and U24 HG008956.
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Bharadwaj, T., Schrauwen, I., Rehman, S. et al. ADAMTS1, MPDZ, MVD, and SEZ6: candidate genes for autosomal recessive nonsyndromic hearing impairment. Eur J Hum Genet 30, 22–33 (2022). https://doi.org/10.1038/s41431-021-00913-x
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DOI: https://doi.org/10.1038/s41431-021-00913-x
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