Literature DB >> 32341388

Novel ACTG1 mutations in patients identified by massively parallel DNA sequencing cause progressive hearing loss.

Hiroki Miyajima1, Hideaki Moteki1,2, Timothy Day1,2, Shin-Ya Nishio1,2, Takaaki Murata3, Tetsuo Ikezono4, Hidehiko Takeda5, Satoko Abe5, Satoshi Iwasaki6, Masahiro Takahashi6, Yasushi Naito7, Hiroshi Yamazaki8, Yukihiko Kanda9, Shin-Ichiro Kitajiri1, Shin-Ichi Usami10,11.   

Abstract

Human ACTG1 mutations are associated with high-frequency hearing loss, and patients with mutations in this gene are good candidates for electric acoustic stimulation. To better understand the genetic etiology of hearing loss cases, massively parallel DNA sequencing was performed on 7,048 unrelated Japanese hearing loss probands. Among 1,336 autosomal dominant hearing loss patients, we identified 15 probands (1.1%) with 13 potentially pathogenic ACTG1 variants. Six variants were novel and seven were previously reported. We collected and analyzed the detailed clinical features of these patients. The average progression rate of hearing deterioration in pure-tone average for four frequencies was 1.7 dB/year from 0 to 50 years age, and all individuals over 60 years of age had severe hearing loss. To better understand the underlying disease-causing mechanism, intracellular localization of wild-type and mutant gamma-actins were examined using the NIH/3T3 fibroblast cell line. ACTG1 mutants p.I34M p.M82I, p.K118M and p.I165V formed small aggregates while p.R37H, p.G48R, p.E241K and p.H275Y mutant gamma-actins were distributed in a similar manner to the WT. From these results, we believe that some part of the pathogenesis of ACTG1 mutations may be driven by the inability of defective gamma-actin to be polymerized into F-actin.

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Year:  2020        PMID: 32341388      PMCID: PMC7184572          DOI: 10.1038/s41598-020-63690-5

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Introduction

Autosomal dominant non-syndromic hearing loss (ADNSHL) occurs in about 20% of non-syndromic hereditary hearing loss (HL) cases[1], and 38 genes have been reported to be associated with ADNSHL (Van Camp G, Smith RJH. Hereditary Hearing Loss Homepage: http://hereditaryhearingloss.org). The emergence of massively parallel DNA sequencing has allowed the rapid and cost-effective detection of disease-causing variants, and it is already available for particularly effective medical care based on the accurate diagnosis of Mendelian disorders[2]. Among the 38 genes associated with ADNSHL, ACTG1(OMIM: *102560) has received special attention for several reasons. First, ACTG1-associated HL (DFNA20/26, OMIM: #604717) patients show high-frequency progressive HL[3] and are good candidates for electric acoustic stimulation (EAS)[4]. Second, the ACTG1-encoding protein, γ (gamma)-actin, is a component of the well-studied stereocilia[5-9], and the functional consequences of some ACTG1 mutations can be analyzed by molecular biology[5]. Hair cell stereocilia are crucial for converting the mechanical forces of sound waves into electrical signals (i.e., mechanotransduction)[10]. These specialized structures are located on the apical surface of auditory hair cells, and are highly dependent on their actin cytoskeletons[11]. To date, 33 cases with ACTG1-associated non-syndromic HL have been reported. However, the detailed clinical features, including the rate of progression of HL, remain unclear. Therefore, we sought to clarify the clinical features of HL patients with ACTG1 mutations by the genomic sequencing of a large cohort and the functional analysis of ACTG1 mutations to gain a further understanding of the underlying disease-causing mechanism.

Materials and Methods

Study subjects

All procedures were approved by the Shinshu University Ethical Committee as well as the respective Ethical Committees of the other participating institutions described below. Akita University Ethical Committee, Iwate Medical University Ethical Committee, Tohoku Rosai Hospital Ethical Committee, Fukushima Medical University Ethical Committee, Yamagata University Ethical Committee, Dokkyo Medical University Ethical Committee, TAKASAKI Ear Nose & Throat Clinic Ethical Committee, Niigata University Ethical Committee, Tokyo Medical University Ethical Committee, Jikei University Ethical Committee, Toranomon Hospital Ethical Committee, Kitasato University Ethical Committee, International University of Health and Welfare Mita Hospital Ethical Committee, National Rehabilitation Center for Persons with Disabilities Ethical Committee, Keio University Ethical Committee, Hamamatsu University Ethical Committee, Shiga University Ethical Committee, Shiga Medical Center for Children Ethical Committee, Osaka University Ethical Committee, Kobe City Medical Center General Hospital Ethical Committee, Hyogo College of Medicine Ethical Committee, Kyoto Prefectural University Ethical Committee, Okayama University Ethical Committee, Yamaguchi University Ethical Committee, Ehime University Ethical Committee, Kyushu University Ethical Committee, Kanda ENT Clinic Ethical Committee, Nagasaki University Ethical Committee, Miyazaki University Ethical Committee, Kagoshima University Ethical Committee, Ryukyus University Ethical Committee, Sapporo Medical University Ethical Committee, Tohoku University Ethical Committee, Jichi Medical University Ethical Committee, Gunma University Ethical Committee, Jyuntendo University Ethical Committee, Yokohama City University Ethical Committee, Mejiro University Ethical Committee, Saitama Medical University Ethical Committee, Abe ENT clinic Ethical Committee, Tokyo Medical Center Institute of Sensory Organs Ethical Committee, Jichi University Saitama Medical Center Ethical Committee, Aichi Children’s Health Medical Center Ethical Committee, Chubu Rosai Hospital Ethical Committee, Kyoto University Ethical Committee, Mie University Ethical Committee, Kansai Medical University Ethical Committee, Kobe University Ethical Committee, Osaka Medical Center and Research Institute for Maternal and Children Health Ethical Committee, Wakayama Medical University Ethical Committee, Kouchi University Ethical Committee, Hiroshima University Ethical Committee, Hiroshima City Hiroshima Citizen Hospital Ethical Committee, Fukuoka University Ethical Committee, Kurume University Ethical Committee, National Defense Medical College Ethical Committee, Tokai University Ethical Committee, Hokkaido University Ethical Committee, Kanagawa Children’s Medical Center Ethical Committee, Tokyo Medical and Dental University Ethical Committee, Hirosaki University Ethical Committee, Tokyo Metropolitan Children’s Medical Center Ethical Committee, Hakodate Central General Hospital Ethical Committee, Osaka Red Cross Hospital Ethical Committee, Hiroshima Prefectural Hospital Ethical Committee, Nara Medical University Ethical Committee, and Tsukuba University Ethical Committee. All methods were performed in accordance with the Guidelines for Genetic Tests and Diagnoses in Medical Practice of the Japanese Association of Medical Sciences and the Declaration of Helsinki as required by Shinshu University. Written informed consent was obtained from all subjects (or from their next of kin, caretaker, or guardian in the case of minors/children). A total of 7,408 probands from unrelated Japanese hearing loss families were enrolled between February 2012 and October 2017 from the 67 otolaryngology departments participating in the present study from across Japan. The hereditary patterns of the hearing loss in the probands’ families were autosomal dominant in 1,336 cases, autosomal recessive or sporadic in 5,564 cases, and unknown inheritance pattern in 1,174 cases. Among the 7,408 probands, 1,120 probands (266 autosomal dominant, 600 autosomal recessive or sporadic and 254 unknown family history) overlapped with our previous study cohort[4].

Methods

Amplicon resequencing with MPS

Amplicon libraries were prepared using an Ion AmpliSeq Custom Panel (Applied Biosystems, Life Technologies), in accordance with the manufacturer’s instructions, for 68 genes reported to cause non-syndromic hereditary HL (Supplementary Table 1). The detailed sample preparation protocol has been described elsewhere[12,13]. Sequencing was performed in accordance with the manufacturer’s instructions. Massively Parallel Sequencing (MPS) was performed with an Ion Torrent Personal Genome Machine (PGM) system or Ion Proton System using an Ion PGM 200 Sequencing Kit with an Ion 318 Chip (Life Technologies) or Ion HiQ Chef Kit with an Ion P1 chip. The sequence data were mapped against the human genome sequence (build GRCh37/ hg19) with a Torrent Mapping Alignment Program. After sequence mapping, the DNA variants were detected with Torrent Variant Caller plug-in software. After variant detection, their effects were analyzed using ANNOVAR software[14].

Variant prioritization and pathogenicity classification

In previous reports, the inheritance pattern for ACTG1-associated hearing loss was shown to be autosomal dominant[8]. Thus, we selected hearing loss patients from apparent autosomal dominant families, selecting the patients with ACTG1 variants from among 1,336 autosomal dominant HL families including all autosomal dominant HL families in our previous reports[4,12]. The missense, nonsense, insertion/deletion and splicing variants were selected from among the identified variants for further analysis. Variants were further selected as less than 1% of 1) the 1,000 genome database[15], 2) the 6,500 exome variants[16], 3) the Human Genetic Variation Database (dataset for 1,208 Japanese exome variants)[17], and 4) the 333 in-house Japanese normal hearing controls. Direct sequencing was utilized to confirm the selected variants. The pathogenicity of the identified variants was evaluated according to the American College of Medical Genetics (ACMG) standards and guidelines[18]. Based on the ACMG guidelines, we regarded “pathogenic” and “likely pathogenic” variants as strong candidates for ACTG1-associated hearing loss. In addition, we listed the “variants of uncertain significance” remaining after the filtering procedure. Among the novel “variants of uncertain significance”, we removed those with Combined Annotation Dependent Depletion (CADD) Phred scores of less than 15 as these variants appear to be non-pathogenic and not depleted from the general control population. Family segregation analysis was performed for each proband and their family members by Sanger sequencing. We refer to the minor allele frequencies for the identified ACTG1 variants based on the Exome Aggregation Consortium (ExAC) database (http://exac.broadinstitute.org) and gnomAD database (https://gnomad.broadinstitute.org).

Clinical evaluations

The age at onset of HL, the progressiveness of HL and history of vertigo/dizziness were analyzed based on medical charts. Pure-tone audiometry was performed to evaluate hearing thresholds. Conditioned orientation response (COR) audiometry[19] was performed in pediatric cases instead of pure-tone audiometry. Pure-tone average (PTA) was calculated from the audiometric thresholds at four frequencies (0.5, 1, 2, and 4 kHz). If an individual did not respond to the maximum hearing level at a frequency, 5 dB was added to the maximum hearing level. The severity of HL was classified into mild (PTA: 21–40 dB HL), moderate (41–70 dB HL), severe (71–95 dB HL), and profound (>95 dB HL). Intervention for HL, including the use of hearing aids, cochlear implants and EAS, was investigated based on medical charts.

In vitro analysis

Mutagenesis

The novel mutations c.102 C > G, c.110 G > A, c.246 G > A, c.493 C > G c.823 C > T, and c.994 C > T, and the previously reported variants c.142 G > C, c.266 C > T, c.353 A > T, c.354 G > C, c.721 G > A, c.791 C > T, c.895 C > G and c.914 T > C were introduced into the ACTG1 plasmid (pFN21A HaloTag CMV ACTG1 plasmid: purchased from Kazusa DNA Research Lab, FHC07847) according to manufacturer’s protocol using an In-Fusion HD Cloning Plus Kit (Takara Bio, Shiga, Japan). All variants mentioned in this study were shown in NM_001614. Briefly, PCR was performed with the mutation-specific primers under the following conditions: 35 cycles of 98 °C for 10 sec, 58 °C for 30 sec, and 72 °C for 5 min. After the PCR reaction, 5μl of the PCR products was digested with DpnI at 37 °C for 5 hours to remove the template plasmid, and then deactivated at 80 °C for 15 minutes. Next, recombination of the PCR products was induced with infusion recombinase. After recombination, plasmids were transformed into Top10 competent cells (Thermo Fisher, MA, USA) for amplification. Sanger sequencing was used to confirm all variants.

Cell culture

Morin et al. reported that ACTG1 mutant constructs expressed in NIH/3T3 fibroblasts formed aggregates[5]. We used the same cell line to evaluate the effects of actin mutations and allow comparison with the results of their report. NIH/3T3 cells were cultured in DMEM supplemented with 10% fetal calf serum (FCS) on 15-mm glass coverslips (Matsunami Glass, Osaka, Japan) in flat-bottomed 12-well multititer plates (Iwaki Glass, Shizuoka, Japan) for immunocytochemical study.

Transfection with wild-type and mutant vectors

NIH/3T3 cells were transfected with 1μg of the wild-type γ-actin plasmid or each of the 11 mutant plasmids using Lipofectamine 3000 (Thermo Fisher, MA, USA) according to the manufacturer’s instructions.

Immunocytochemistry

For immunocytochemistry, cells on coverslips were fixed in 4% paraformaldehyde-phosphate buffer for 10 min at 48 h after transfection, and then washed three times briefly in PBS. To study intracellular protein localization, cells were permeabilized for 20 min at room temperature with 0.1% Triton X-100 (SIGMA, Kanagawa, Japan) in PBS, blocked with 3% Goat serum (Gibco, Thermo Fisher, MA, USA) in PBS for 20 min, and incubated for 1 h at room temperature with a 1:200 dilution of AntiHalo-Tag pAb (Promega, Tokyo, Japan). Cells were washed three times with PBS, and then incubated for 1 h at room temperature with a 1:200 dilution of the secondary antibody, Alexa Fluor 546 goat anti-rabbit antibody. Total actin was stained with Alexa Fluor 488 phalloidin (Invitrogen, Thermo Fisher, MA, USA), and a 1/1000 dilution of DAPI (KPL, MA, USA) to visualize the nucleus. Cells were washed in PBS 3 times, and coverslips were mounted onto a slide glass with Pro-long Gold Antifade Mountant (Invitrogen, Thermo Fisher, MA, USA). Images were taken with an Olympus Fluoview FV-10i system (Olympus, Okaya, Japan).

Results

ACTG1 gene variants identified in this study

The MPS screening of the 1,336 ADNSHL patients identified 13 possibly pathogenic variants in the ACTG1 gene from 15 unrelated families, including four mutations from five families in our previous reports[4] (Family 3, 6, 7, 9, and 12) (Fig. 1). Among the 13 variants, six were novel (c.102 C > G, c.110 G > A, c.246 G > A, c.493 C > G c.823 C > T, and c.994 C > T) and seven were previously reported variants (c.142 G > C, c.266 C > T, c.353 A > T, c.721 G > A, c.791 C > T, c.895 C > G and c.914 T > C). None of the candidate ACTG1 variants were observed in the ExAC database. In addition, 12 of the 13 variants identified in this study were not observed in the gnomAD database. Among the 13 identified variants, 4 were classified as “pathogenic” variants and 3 were classified as “likely pathogenic” variants; however, 6 remained as “variants of uncertain significance” based on the ACMG guidelines[18] (Table 1).
Figure 1

Pedigree and audiograms for each family with an ACTG1 variant. Arrows show the probands in each family. Genetic findings for each individual are shown in the pedigree.

Table 1

Possible causative ACTG1 variants in this study.

NucleotideAmino acidAllele frequencyCADD Phred scoreACMG criteriaSupporting evidenceReference
changechange(gnomAD browser)
c.102 C > Gp.I34M3.98E-0621.5Uncertain SignificancePM2This study
c.110 G > Ap.R37H016.11Uncertain SignificancePM2 + PP1This study
c.142 G > Cp.G48R026.6Uncertain SignificancePM2 + PP1 + PP3Miyagawa et al., 2015
c.246 G > Ap.M82I024.5Uncertain SignificancePM2 + PP3This study
c.266 C > Tp.T89I019.88PathogenicPS4_Moderate+PM2 + PP1_Strong+PP3Zhu et al., 2003
c.353 A > Tp.K118M026.1PathogenicPS4_Moderate+PM2 + PP1_Strong+PP3Zhu et al., 2003Miyagawa et al., 2015
c.493 A > Gp.I165V020.7Uncertain SignificancePM2 + PP1 + PP3This study
c.721 G > Ap.E241K024.7PathogenicPS4_Moderate+PM2 + PP1_Strong+PP3Morin et al., 2009Miyagawa et al., 2015
c.791 C > Tp.P264L024.2PathogenicPS4_Moderate+PM2 + PP1_Strong+PP3Zhu et al., 2003
c.823 C > Tp.H275Y023.8Uncertain SignificancePM2 + PP1This study
c.895 C > Gp.L299V019.96Likely PathogenicPS4_Supporting+PM2 + PP1_Strong+PP3Miyagawa et al., 2015
c.914 T > Cp.M305T024.2Likely PathogenicPS4_Moderate+PM2 + PP1_Strong+PP3Park et al., 2013
c.994 C > Tp.P332S010.27Likely PathogenicPS4_Supporting+PM2 + PM5 + PP1This study

Abbreviations in the Supporting evidence row are: PS, Strong evidence of pathogenicity; PM, Moderate evidence of pathogenicity; PP, Supporting evidence of pathogenicity.

Pedigree and audiograms for each family with an ACTG1 variant. Arrows show the probands in each family. Genetic findings for each individual are shown in the pedigree. Possible causative ACTG1 variants in this study. Abbreviations in the Supporting evidence row are: PS, Strong evidence of pathogenicity; PM, Moderate evidence of pathogenicity; PP, Supporting evidence of pathogenicity.

Clinical characteristics of ACTG1-associated HL patients

Table 2 summarizes the clinical characteristics of 27 affected individuals from 15 families with the candidate ACTG1 variants. The age at onset of HL varied markedly from 3 to 59 years. Among the 27 affected individuals, 3 cases showed mild HL, 11 cases moderate HL, 5 cases severe HL and 4 cases profound HL. It is noteworthy that 4 cases with the candidate ACTG1 variants had normal hearing. Most of these cases were of a younger age and, based on their family history, type of HL, and age at onset information, we suspected that these cases had HL in only the higher frequencies (for example: Family 2 III-2, Family 3 III-1, and III-2 [Fig. 1]) or would develop HL after several years. Progression of HL was noticed in 23 (85%) of the 27 individuals. Tinnitus and episodes of vertigo and/or dizziness were present in 14 (52%) and 4 (14%) of the 27 individuals, respectively. The vestibular tests (caloric test and cervical vestibular evoked myogenic potential [cVEMP]) findings for 2 patients (Family 12 III-4 and Family 13 III -2 [Fig. 1]) were normal. In terms of intervention for HL, we obtained information for 21 individuals, with 13 of them using hearing aids and 2 individuals receiving EAS surgery.
Table 2

Clinical characteristics of 27 affected individuals from 15 families with candidate ACTG1 variants.

FamilyPatientExonNucleotideAmino acidAge (y)OnsetGenderHearingProgressionTinnitusVertigoIntervention
No.changechangeAge (y)Level (dB)
1II-32c.102 C > Gp.I34M6418Male77.5Progressive++Hearing aids
1III-12c.102 C > Gp.I34M2915Female52.5Progressive++None
2III-22c.110 G > Ap.R37H11UnknownFemale22.5Unknown--None
2II-12c.110 G > Ap.R37H4010Male63.75Progressive++Unknown
3II-23c.142 G > Cp.G48R5311Female56.25Progressive--Hearing aids
3III-13c.142 G > Cp.G48R22N/AFemale16.25ProgressiveUnknownUnknownNone
3III-23c.142 G > Cp.G48R97Male20Progressive+UnknownNone
3III-53c.142 G > Cp.G48R11PrecriticalFemale15UnknownUnknownUnknownNone
4III-23c.246 G > Ap.M82I53UnknownMale41.25Unknown--None
5II-33c.266 C > Tp.T89I85UnknownMale83.75Progressive+-Hearing aids
6II-23c.353 A > Tp.K118M3326Female48.75Progressive++Hearing aids
7I-13c.353 A > Tp.K118M6517Male105ProgressiveUnknownUnknownHearing aids
7II-13c.353 A > Tp.K118M3717Male68.75Progressive+-Hearing aids
8III-34c.493 A > Gp.I165V3211Male93.75Progressive--Hearing aids
9II-24c.721 G > Ap.E241K2814Female51.25Progressive--Hearing aids
9III-14c.721 G > Ap.E241K73Male45Progressive--Hearing aids
9III-34c.721 G > Ap.E241K33Female38.75UnknownUnknownUnknownNone
10II-14c.791 C > Tp.P264L4612Female101.25Progressive++Unknown
11III-25c.823 C > Tp.H275Y3534Female30Progressive+-None
12II-35c.895 C > Gp.L299V6346Male107.5Progressive+-Hearing aids
12III-45c.895 C > Gp.L299V416Male58.75Progressive+-EAS
12III-75c.895 C > Gp.L299V3815Male61.25Progressive+-Hearing aids
12IV-25c.895 C > Gp.L299V9PrecriticalMale6.25Progressive--None
13III-25c.914 T > Cp.M305T346Male72.5Progressive+-EAS
14II-66c.994 C > Tp.P332S7959Male107.5Progressive+-Hearing aids
14III-16c.994 C > Tp.P332S4538Male63.75Progressive--Unknown
15III-26c.994 C > Tp.P332S5135Male91.25Progressive--Hearing aids

Abbreviations: y, year(s) old; N/A, not available; EAS, electric acoustic stimulation.

Clinical characteristics of 27 affected individuals from 15 families with candidate ACTG1 variants. Abbreviations: y, year(s) old; N/A, not available; EAS, electric acoustic stimulation.

Rate of deterioration in hearing loss

The rate of deterioration of HL for each frequency was analyzed using the audiogram data for each patient. As shown in Fig. 2, we plotted the high-tone, low-tone and mid-tone averaged hearing thresholds and age. The average progression rate of hearing deterioration in PTA for four frequencies (500, 1000, 2000, 4000 Hz) was 1.7 dB/year at 0 to 50 years age (Fig. 2A). All individuals aged over 60 years had severe HL. Figure 2B,C show the progression rate of hearing deterioration in the lower frequencies (125, 250, 500 Hz), and higher frequencies (2000, 4000, 8000 Hz) for the same individuals respectively. The average progression rates in the lower frequencies were 0.8–1.0 dB/year, whereas they were 1.9 dB/year for the higher frequencies. Thus, the hearing thresholds in the higher frequencies deteriorated more rapidly than did those in the lower frequencies in patients with ACTG1 variants. Construction of an age-related typical audiogram (ARTA)[20] showed the same results regarding the rate of HL deterioration (Fig. 3).
Figure 2

Rate of hearing loss deterioration for lower, middle and higher frequencies. The average progression rates of hearing deterioration in PTA for four frequencies (500, 1000, 2000, 4000 Hz) (A), lower frequencies (125,250,500 Hz) (B), and higher frequencies (2000,4000,8000 Hz) (C). Each solid line indicates the hearing thresholds of the same individual. Thin lines show the average progression rate of hearing deterioration.

Figure 3

An age-related typical audiogram (ARTA) demonstrating the progression of hearing loss for ACTG1.

Rate of hearing loss deterioration for lower, middle and higher frequencies. The average progression rates of hearing deterioration in PTA for four frequencies (500, 1000, 2000, 4000 Hz) (A), lower frequencies (125,250,500 Hz) (B), and higher frequencies (2000,4000,8000 Hz) (C). Each solid line indicates the hearing thresholds of the same individual. Thin lines show the average progression rate of hearing deterioration. An age-related typical audiogram (ARTA) demonstrating the progression of hearing loss for ACTG1.

Intracellular localization of WT and mutant γ-actins in NIH/3T3 cells

To understand the putative disease-causing mechanisms, the intracellular localization of wild-type and mutant γ-actins with deafness-associated variants (ACTG1:NM_001614: c.102 C > G: p.I34M, c.110 G > A: p.R37H, c.142 G > C: p.G48R, c.246 G > A: p.M82I, c.354 G > C: p.K118N, c.493 C > G: p.I165V, c.721 G > A: p.E241K and c.823 C > T: p.H275Y) was analyzed by expression assay utilizing the NIH/3T3 fibroblast cell line. In a previous study, a mutant ACTG1:NM_001614: c.354 G > C: p.K118N construct expressed in NIH/3T3 fibroblasts did not co-localize with actin stress fibers, but instead formed aggregates[5]. In this study, we also expressed the p.K118N variant as a positive control. Wild-type γ-actin was incorporated into the stress fibers, filamentous actin in ruffles and lamellipodia, and into the actin network, co-localizing with endogenous filamentous actin as visualized with phalloidin (Fig. 4). The p.I34M p.M82I, p.K118M and p.I165V mutant γ-actins formed small aggregates (Fig. 4), while the expression of the p.R37H, p.G48R, p.E241K and p.H275Y mutant γ-actins resembled that of the WT (Supplementary Fig. 1).
Figure 4

Mutant γ-actin proteins failed to be incorporated into the F-actin network (1). (A-F) Confocal images of NIH/3T3 cells transfected with either wild-type or mutant halo-tagged γ-actin (red) analyzed by immunocytochemistry. F-actin localization was detected by phalloidin staining (green) and nuclear staining by DAPI (blue). (A) Untransfected cells show low background expression. (B) WT γ-actin exhibits smooth incorporation into the F-actin. (C) The previously published ACTG1:c.354 G > C:p.K118N failed to be incorporated into the F-actin, instead forming aggregates. (D, E, F) Mutations identified in this study, ACTG1:c.102 C > G:p.I34M, c.246 G > A:p.M82I, c.493 C > G:p.I165V, failed to incorporate into F-actin as marked by phalloidin staining, instead forming aggregates.

Mutant γ-actin proteins failed to be incorporated into the F-actin network (1). (A-F) Confocal images of NIH/3T3 cells transfected with either wild-type or mutant halo-tagged γ-actin (red) analyzed by immunocytochemistry. F-actin localization was detected by phalloidin staining (green) and nuclear staining by DAPI (blue). (A) Untransfected cells show low background expression. (B) WT γ-actin exhibits smooth incorporation into the F-actin. (C) The previously published ACTG1:c.354 G > C:p.K118N failed to be incorporated into the F-actin, instead forming aggregates. (D, E, F) Mutations identified in this study, ACTG1:c.102 C > G:p.I34M, c.246 G > A:p.M82I, c.493 C > G:p.I165V, failed to incorporate into F-actin as marked by phalloidin staining, instead forming aggregates.

Discussion

Mutations in ACTG1 represent a rare causative factor for ADNSHL and only a limited number of cases have been reported to date. In this study, MPS facilitated the efficient detection of causative variants for ACTG1-associated HL. As a result, six novel variants and seven previously reported variants were successfully identified from 15 unrelated ADNSHL families. The incidence of ACTG1-associated HL was 1.1% (15/1336) in the presumably autosomal dominant HL families. This finding shows that ACTG1 mutations are the fifth most frequent cause of autosomal dominant HL in the Japanese population, after KCNQ4 (6.6%)[21], TECTA (2.9%)[22], POU4F3 (2.7%)[23], and WFS1 (2.5%)[24]. In general, ACTG1-associated HL affects the higher frequencies initially and progresses to all frequencies later[7]. Indeed, our results also supported this trend, with HL observed to deteriorate more rapidly in the higher frequencies than in the lower frequencies. However, the onset and severity of HL varied among the patients. Morin et al. reported that patients with different ACTG1 mutations in DFNA20/26 showed little difference in the age at onset and severity of HL[5]. However, this observation was based on only 2 families. Our data set was larger than that of the previous report and we were able to identify more accurately the phenotypes of ACTG1-associated HL. Figure 2A shows the results of a regression analysis of the hearing deterioration for all ACTG1-associated HL patients identified. These results indicate that hearing levels equivalent to 30dBHL or more were observed at about 14 years of age. The estimated onset age for ACTG1-associated hearing loss is, therefore, considered to be about 14 years old. The audiograms of two patients with ACTG1 mutations (Family 3 III-5, and Family 12 IV-2 (Fig. 1)) appeared to be normal. Therefore, we regarded these non-symptomatic carriers to be too young (9 y.o. and 11 y.o.) to present with HL phenotypes. Non-muscle cells in vertebrates, including cochlear hair cells, contain two different actin isoforms (β- and γ-cytoplasmic actin)[11]. In the mammalian cochlea (especially in the outer pillar cells, inner pillar cells and hair cells), γ-actin is more highly expressed than in the other cells[25]. The function of γ-actin is primarily to reinforce and repair the actin cytoskeleton and actin filaments, which are essential for the shape and function of the hair cell stereocilia[26]. Alterations in actin filament regulation caused by a mutation in actin-binding proteins was proposed as an important mechanism underlying ACTG1-associated HL[27]. Morin et al. showed that the post-lingual and progressive character of the hearing loss associated with ACTG1 mutations can be the result of a progressive deterioration of the cytoskeletal structures of hair cells over time, based on in vivo experiments and in vitro biochemical analysis using NIH/3T3 cells[5]. We also used the NIH/3T3 cell line to assess the ability of the newly identified γ-actin mutants to be incorporated into the cytoskeleton based on the report of Morin et al. As a result, we found that the mutant γ-actins with p.I34M p.M82I, p.K118M and p.I165V mutations formed aggregates, whereas WT and p.R37H, p.G48R, p.E241K and p.H275Y mutations were distributed throughout the entire cell body and co-localized in the cytoskeleton based on phalloidin staining. Thus, we speculated that some of the mutant γ-actins were not incorporated into the actin network required for stereocilia formation, resulting in HL. However, some other mutant actins localized in the actin cytoskeleton in a manner similar to that of the WT. Possible explanations for this discrepancy include 1) the pathogenicity classification of these variants with a normal γ-actin distribution pattern was incorrect and these variants were neutral or benign, and 2) the pathological mechanisms of these mutants were different from those of other mutations. Although these mutant γ-actins were incorporated into the actin network and showed normal distribution patterns, the function required for hearing might still have been disrupted. In conclusion, we identified 13 ACTG1 variants from 15 families. The rate of deterioration of HL was 1.7 dB/year and high-frequency HL progressed more rapidly than did that in the lower frequencies. This is the largest population of ACTG1-associated HL cases reported and is important for a better understanding of ACTG1-associated HL. From the results of our genetic analysis, clinical features as well as family segregation analysis, we regard the identified variants to be the genetic cause of HL in these patients. However, it is impossible to confirm that these variants were truly the cause of HL or not and further functional analyses are required. Supplementary Information.
  1 in total

1.  Sorting of actin isoforms in chicken auditory hair cells.

Authors:  D Höfer; W Ness; D Drenckhahn
Journal:  J Cell Sci       Date:  1997-03       Impact factor: 5.285

  1 in total
  6 in total

1.  Benefits of Exome Sequencing in Children with Suspected Isolated Hearing Loss.

Authors:  Roxane Van Heurck; Maria Teresa Carminho-Rodrigues; Emmanuelle Ranza; Caterina Stafuzza; Lina Quteineh; Corinne Gehrig; Eva Hammar; Michel Guipponi; Marc Abramowicz; Pascal Senn; Nils Guinand; Helene Cao-Van; Ariane Paoloni-Giacobino
Journal:  Genes (Basel)       Date:  2021-08-20       Impact factor: 4.096

2.  Prevalence and Clinical Characteristics of Hearing Loss Caused by MYH14 Variants.

Authors:  Ken Hiramatsu; Shin-Ya Nishio; Shin-Ichiro Kitajiri; Tomohiro Kitano; Hideaki Moteki; Shin-Ichi Usami
Journal:  Genes (Basel)       Date:  2021-10-15       Impact factor: 4.096

3.  Genetic background in late-onset sensorineural hearing loss patients.

Authors:  Natsumi Uehara; Takeshi Fujita; Daisuke Yamashita; Jun Yokoi; Sayaka Katsunuma; Akinobu Kakigi; Shin-Ya Nishio; Ken-Ichi Nibu; Shin-Ichi Usami
Journal:  J Hum Genet       Date:  2021-11-26       Impact factor: 3.172

Review 4.  The genetic etiology of hearing loss in Japan revealed by the social health insurance-based genetic testing of 10K patients.

Authors:  Shin-Ichi Usami; Shin-Ya Nishio
Journal:  Hum Genet       Date:  2021-10-01       Impact factor: 5.881

Review 5.  Human deafness-associated variants alter the dynamics of key molecules in hair cell stereocilia F-actin cores.

Authors:  Takushi Miyoshi; Inna A Belyantseva; Shin-Ichiro Kitajiri; Hiroki Miyajima; Shin-Ya Nishio; Shin-Ichi Usami; Bong Jik Kim; Byung Yoon Choi; Koichi Omori; Hari Shroff; Thomas B Friedman
Journal:  Hum Genet       Date:  2021-07-07       Impact factor: 4.132

6.  De Novo ACTG1 Variant Expands the Phenotype and Genotype of Partial Deafness and Baraitser-Winter Syndrome.

Authors:  Mateusz Dawidziuk; Anna Kutkowska-Kazmierczak; Ewelina Bukowska-Olech; Marta Jurek; Ewa Kalka; Dorothy Lys Guilbride; Mariusz Ireneusz Furmanek; Monika Bekiesinska-Figatowska; Jerzy Bal; Pawel Gawlinski
Journal:  Int J Mol Sci       Date:  2022-01-08       Impact factor: 5.923

  6 in total

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