Literature DB >> 31004071

Nonsense mutation in CFAP43 causes normal-pressure hydrocephalus with ciliary abnormalities.

Yoshiro Morimoto1, Shintaro Yoshida1, Akira Kinoshita1, Chisei Satoh1, Hiroyuki Mishima1, Naohiro Yamaguchi1, Katsuya Matsuda1, Miako Sakaguchi1, Takeshi Tanaka1, Yoshihiro Komohara1, Akira Imamura1, Hiroki Ozawa1, Masahiro Nakashima1, Naohiro Kurotaki1, Tatsuya Kishino1, Koh-Ichiro Yoshiura1, Shinji Ono2.   

Abstract

OBJECTIVE: To identify genes related to normal-pressure hydrocephalus (NPH) in one Japanese family with several members with NPH.
METHODS: We performed whole-exome sequencing (WES) on a Japanese family with multiple individuals with NPH and identified a candidate gene. Then we generated knockout mouse using CRISPR/Cas9 to confirm the effect of the candidate gene on the pathogenesis of hydrocephalus.
RESULTS: In WES, we identified a loss-of-function variant in CFAP43 that segregated with the disease. CFAP43 encoding cilia- and flagella-associated protein is preferentially expressed in the testis. Recent studies have revealed that mutations in this gene cause male infertility owing to morphologic abnormalities of sperm flagella. We knocked out mouse ortholog Cfap43 using CRISPR/Cas9 technology, resulting in Cfap43-deficient mice that exhibited a hydrocephalus phenotype with morphologic abnormality of motile cilia.
CONCLUSION: Our results strongly suggest that CFAP43 is responsible for morphologic or movement abnormalities of cilia in the brain that result in NPH.
Copyright © 2019 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.

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Year:  2019        PMID: 31004071      PMCID: PMC6598815          DOI: 10.1212/WNL.0000000000007505

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


Normal-pressure hydrocephalus (NPH) usually occurs sporadically, but several studies have shown its familial aggregation.[1,2] In 2011, a large family featuring individuals with NPH through 3 generations was reported.[3] Although family studies have suggested that genetic factors underlie the development of NPH, the genetic risk factors of NPH have remained unclear. Whole-exome sequencing (WES) is a powerful tool to detect genes causative of single-gene neurodegenerative diseases.[4,5] However, to our knowledge, no studies have explored genes causative of NPH using WES. To identify genes related to NPH, we performed WES on one Japanese family with several members with NPH and identified a loss-of-function variant in the CFAP43 gene linked to this disease in this family. Next, we generated Cfap43 knockout mice, and the model showed clear dilation of the lateral and third ventricles of the brain similar to human NPH. We show that mutation in CFAP43 elicits abnormalities in cilia and leads to NPH.

Methods

Clinical presentation of a Japanese family with multiple patients with NPH

The proband was a 55-year-old woman (II-1, figure 1A). She was hospitalized owing to major symptoms including gait impairment (decreased step height, length, and cadence; Timed Up and Go test [TUG]: 33 seconds), cognitive impairment (Mini-Mental State Examination [MMSE]: 24/30, Frontal Assessment Battery [FAB] at bedside: 3/18), and urinary incontinence. Her CSF opening pressure was 150 mm H2O, CSF total protein 38 mg/dL, CSF glucose 64 mg/dL, and CSF chlorine 128 mEq/L. Her symptoms improved temporarily after a tap test (72 hours after tap test: TUG 25 seconds, MMSE 25/30, FAB 9/18). MRI of her brain showed significant dilation of the third, lateral ventricle and Sylvian fissure and high-convexity tightness (figure 1, C–E). She was diagnosed with NPH, in accordance with the reported criteria.[6] She also had recurrent respiratory tract infection and chronic sinusitis but did not show bronchiectasis or visceral inversions. She died of pneumonia at 60 years of age. In addition, 2 of her brothers (II-4 and II-7) also showed 3 major symptoms of NPH. II-7 began to show gait impairment, urinary incontinence, and cognitive impairment (MMSE 24/30) at age 44. His brain MRI showed significant dilation of the third, lateral ventricle and Sylvian fissure and high-convexity tightness (figure 1E), and he also had recurrent respiratory tract infection and chronic sinusitis. He was also diagnosed with NPH. Their mother developed hydrocephalus at age 50 and died at 62 years of age (I-7, figure 1A). None of the patients in this family had a history of diseases causing secondary NPH, including head trauma, intracerebral haemorrhage, or meningitis. The patients in this family (II-1, II-4, and II-7) were unmarried, and there was no information about infertility. Other siblings (II-2, II-3, II-5, II-6, and II-8) did not show any symptoms of NPH or chronic infection.
Figure 1

Pedigree, mutation, and MRI

(A) Japanese family with multiple individuals with normal-pressure hydrocephalus (NPH). Black symbol represents individuals (I-7, II-1, II-4, and II-7) diagnosed with NPH with recurrent respiratory and sinus infection. (B) The nonsense mutation (chr10:105893468C>T on hg19, p.W1502X in ENST00000357060.3) in CFAP43 segregated with the hydrocephalus phenotype. (C–E) MRI demonstrated remarkable dilation of the lateral ventricle and Sylvian fissure in affected individuals (II-1, II-7). (C) Coronal MRI of II-1. Dilation of lateral ventricle (green arrow), Sylvian fissure (red arrows), and interpeduncular cistern (white arrow). In addition, high-convexity tightness (yellow arrows) was observed. (D) Sagittal MRI of II-1. The stenotic site in cerebral aqueduct was not observed. (E) Axial MRI of family members. MRI demonstrated dilation of the third ventricle (blue arrows), lateral ventricle (green arrows), and Sylvian fissure (red arrows) and high-convexity tightness (yellow arrows) in affected individuals (II-1, II-7), but not in unaffected individuals (II-2, II-6).

Pedigree, mutation, and MRI

(A) Japanese family with multiple individuals with normal-pressure hydrocephalus (NPH). Black symbol represents individuals (I-7, II-1, II-4, and II-7) diagnosed with NPH with recurrent respiratory and sinus infection. (B) The nonsense mutation (chr10:105893468C>T on hg19, p.W1502X in ENST00000357060.3) in CFAP43 segregated with the hydrocephalus phenotype. (C–E) MRI demonstrated remarkable dilation of the lateral ventricle and Sylvian fissure in affected individuals (II-1, II-7). (C) Coronal MRI of II-1. Dilation of lateral ventricle (green arrow), Sylvian fissure (red arrows), and interpeduncular cistern (white arrow). In addition, high-convexity tightness (yellow arrows) was observed. (D) Sagittal MRI of II-1. The stenotic site in cerebral aqueduct was not observed. (E) Axial MRI of family members. MRI demonstrated dilation of the third ventricle (blue arrows), lateral ventricle (green arrows), and Sylvian fissure (red arrows) and high-convexity tightness (yellow arrows) in affected individuals (II-1, II-7), but not in unaffected individuals (II-2, II-6).

Samples and DNA extraction

We recruited 5 members of the family for WES and Sanger sequencing, which comprised 2 affected and 3 unaffected individuals (II-1, II-2, II-6, II-7, and II-8). A total of 10 mL of peripheral blood was collected from each individual after obtaining written informed consent, and genomic DNA was extracted from blood lymphocytes using QIAamp DNA Midi Kit (Qiagen, Hilden, Germany). Experimental procedures were approved by the Committee for Ethical Issues on Human Genome and Gene Analysis at Nagasaki University.

Whole-exome sequencing

We performed WES on 3 individuals in this family (II-1, II-6, and II-8), including 1 individual with NPH and 2 unaffected individuals, using the SureSelect Human All Exon V4+UTRs kit (Agilent Technologies, Santa Clara, CA). We also performed massively parallel sequencing using the 5500 SOLiD system (Thermo Fisher Scientific, Waltham, MA).

Sequencing data analysis

NovoAlignCS software (Novocraft, Selangor, Malaysia) version 1.02.03 was used to align SOLiD reads on the hg19/GRCh37 reference genome sequence. Aligned reads were sorted using Novosort software (Novocraft) version 1.00.01. PCR and optical duplications were removed using MarkDuplicates in the Picard tools package (broadinstitute.github.io/picard/) version 1.84. Genome Analysis Toolkit (GATK)[7] version 3.4–46 was used to perform local realignment (IndelRealigner), variant call (HaplotypeCaller), multiple sample joint call (GenotypeGVCFs), and depth measurement (DepthOfCoverage). Raw single-nucleotide variants (SNVs) and small insertions/deletions (indels) were hard-filtered in accordance with GATK best practice.[8] Passed variants were annotated using the ANNOVAR software.[9] This procedure was executed using an in-house workflow management tool.[10] The average mean depth of all samples was 57.07 (II-1: 59.01, II-6: 51.93, II-8: 60.28) and the average coverage rate of >×10 depth regions was 94.13% (II-1: 94.7%, II-6: 93.3%, II-8: 94.4%).

Selection of familial pathogenic substitutions

To detect the familial pathogenic mutation from WES data, deleterious variants corresponding to the following criteria were considered as pathogenic candidates: (1) variants: lead stop gain, stop loss, nonsynonymous, or splice site mutations, in accordance with GENCODE basic version 19 downloaded from the UCSC genome browser; (2) alternative allele frequencies at variant loci ≤0.5% in the following databases: 1000 Genomes Project data on all populations released October 2014,[11] NIH National Heart, Lung, and Blood Institute6515 exome data (evs.gs.washington.edu/EVS/), Exome Aggregation Consortium (ExAC) exome data,[12] Human Genomic Variation Database (HGVD) exome data of 1,208 individuals collected in Japan,[13] and SNV allele frequency collected from whole-genome sequencing data of a population of 2,049 healthy Japanese (2KJPN) (ijgvd.megabank.tohoku.ac.jp); (3) mutations not included in the UCSC segmental duplication region; and (4) rare SNVs defined as damaging by functional annotation programs (Polyhen_2,[14] SIFT,[15] PROVEN,[16] or MutationTaster[17]). After this filtration, 13 substitutions remained as potential candidates, all data with latest annotation and allele frequencies of which are available from Dryad (supplemental data, doi.org/10.5061/dryad.d82n3f8).

Sanger sequencing

We performed Sanger sequencing of 13 substitutions exclusively found in this family that emerged from WES. Chr7:149489295;G>T in the SSPO gene and chr10:105727538;T>C in the SLK gene were not sequenced because of technical difficulties. All primers were designed using Primer3.[18] Genomic DNA (5 ng) was amplified using KOD FX Neo polymerase (Toyobo, Osaka, Japan) by PCR in 20-μL reactions. Sequence reactions were performed using the BigDye Terminator Cycle Sequencing Kit v3.1 (Applied Biosystems, Foster City, CA), in accordance with the manufacturer's instructions. After purification using CleanSEQ (Agen Court, Sugar Land, TX), the products were separated on an ABI Genetic Analyzer 3130 (Applied Biosystems) and the electropherograms were visually evaluated using 4Peaks software.[19]

Generation of CFAP43 knockout mouse using CRISPR-Cas9 technology

We designed guide RNA onto exon 35 of mouse ortholog Cfap43, corresponding to the mutation position in the family, to knock out the gene. Single-guide RNA was designed using the ATUM gRNA Design Tool (atum.bio/eCommerce/cas9/input) as follows: 5′-GATGGAGGACCTAAACCAGA-3′. Single-guide RNA, crRNA, and tracrRNA (FASMAC, Kanagawa, Japan) were injected into wild-type (WT) zygotes using a microinjector system: Olympus IX70 Fluorescence Microscope Cutaway (Olympus, Tokyo, Japan), TransferMan NK2 (Eppendorf, Hamburg, Germany), FemtoJet 4i (Eppendorf), and Cell Tram Oil (Eppendorf). After RNA injection, zygotes were cultured until the blastocyst stage in vitro and then transferred to the uteri of recipient pseudopregnant females. To verify the genotype of the mice, PCR amplification was performed using KOD FX Neo polymerase from mouse DNA and products were cloned into the T-vector (Takara-bio, Kusatsu, Japan) for sequencing. PCR primers were as follows: forward, 5′-GGGAAATAAGAAAAGAGTCATGGA-3′; reverse, 5′-CACATGCTTTATCCAGGAGGA-3′. Experimental procedures were approved by the Ethics Review Committee for Animal Experimentation at Nagasaki University.

Quantitative RT-PCR

Total RNA was extracted from mouse brain and tracheal tissues using NucleoSpin RNA Plus (MACHERY-NAGEL, Düren, Germany). One microgram of total RNA was converted into cDNAs with ReverTra Ace qPCR RT Master Mix with gDNA remover (Toyobo). Fifty nanograms of cDNA was used as a template for amplification using THUNDERBIRD SYBR qPCR MiX (Toyobo) to quantify the expression on LightCycler 480 System II (Roche, Basel, Switzerland) in 10-μL reactions. Mouse Gapdh (forward, 5′-CTGCACCACCAACTGCTTAG-3′; reverse, 5′-TTCAGCTCAGGGATGACCTT-3′) was used as an internal control and mouse Cfap43 q-PCR primers were as follows (forward, 5′-AGGACAAAAGAAAGTTGCTAGCA-3; reverse, 5′-TCCAATCTGAATGGCAATCACA-3′). The presence of a single PCR amplicon was confirmed by melting curve analysis. mRNA expression was quantified using the 2−∆∆Ct method and Student t test was applied for 2-sample significance tests.

Histologic analysis of mouse tissues

Fresh mouse brain and tracheal tissues were fixed in 10% formalin for 72 hours, embedded in paraffin, and then sectioned at 5-μm intervals for tissue slides. After deparaffinization, slides were stained with hematoxylin & eosin (H&E) by standard methods for the visualization of structures. We viewed and photographed sections using BZ-9000 All-in-one Fluorescence Microscope (Keyence, Osaka, Japan). For immunohistochemical staining, tissue slides were deparaffinized, rehydrated, and rinsed in Tris-buffered saline. For antigen retrieval, tissue sections were microwaved for 20 minutes in 10 mM citrate buffer using an MI-77 microwave processor (Azumaya Corporation, Tokyo, Japan). Then, sections were blocked in DAKO Protein Block Serum-Free (Dako, Carpinteria, CA) for 1 hour at room temperature, followed by incubation for 1 hour at room temperature with primary antibodies. Immunofluorescent staining was also performed using the following primary antibodies: monoclonal anti-acetylated tubulin antibody, polyclonal anti-SPEF2 antibody, and anti-RSPH4A antibody (all from Sigma-Aldrich, St. Louis, MO). Secondary antibodies were as follows: goat anti-mouse immunoglobulin G (IgG) H&L (Alexa Fluor 488), ab150113; and goat anti-rabbit IgG H&L (Alexa Fluor 555), ab150078 (Abcam, Cambridge, UK). Primary and secondary antibodies were diluted using Antibody Diluent with Background Reducing Components (Dako). Sections were mounted with Vectashield Mounting medium for fluorescence analysis with DAPI (Vector Laboratories, Burlingame, CA). Fluorescent images were taken using a BZ-9000 All-in-one Fluorescence Microscope.

Transmission electron microscopy (TEM)

Samples were fixed with 2% glutaraldehyde (Nacalai Tesque, Kyoto, Japan) in 0.1 M sodium cacodylate buffer containing 1 mM CaCl2 and 1 mM MgCl2 (cacodylate buffer, pH 7.4) at 4°C for 60 minutes. The samples were rinsed with cacodylate buffer, and then postfixed with 1% OsO4 (Nacalai Tesque) in cacodylate buffer at 4°C for 60 minutes. Next, they were washed with cacodylate buffer, dehydrated in a graded series of ethanol and acetone, and embedded in Quetol 651 epoxy resin (Nisshin EM, Tokyo, Japan). The resin-embedded samples were trimmed and sectioned using a diamond knife on an ultramicrotome (Reichert-Jung, Vienna, Austria). Ultrathin sections were collected on grids and stained with uranyl acetate and lead citrate. The samples were examined at 80 kV under a transmission electron microscope (JEM-1230; JEOL, Tokyo, Japan).

Data availability statement

Study data for the primary analyses presented in this report are available upon reasonable request of other investigators.

Results

Mutation in the family

To identify potential pathogenic changes, we performed WES on 3 members of this family (figure 1A) and identified 72 variants found only in affected individuals. To identify compelling candidates, we first filtered out simple missense variants. After filtration, 13 loci remained as candidates (supplemental data, doi.org/10.5061/dryad.d82n3f8). After Sanger sequencing of those candidates in 5 members (affected, II-1 and II-7; unaffected, II-2, II-6, and II-8), we found one variant (chr12:66838468T>C in GRIP1) and one nonsense mutation (chr10:105893468C>T in CFAP43) that segregated with the disease. A homozygous mutation in glutamate receptor-interacting protein 1 (GRIP1) has already been reported to be a gene causative of Fraser syndrome, a rare disorder characterized by cryptophthalmos, cutaneous syndactyly, and genitourinary anomalies.[20] Because none of the patients in this family showed any symptoms of Fraser syndrome, DRIP1 was ruled out as a causative candidate. Alternatively, mutation in the gene encoding cilia- and flagella-associated protein 43 (CFAP43) has been reported to be responsible for male infertility with multiple morphologic abnormalities of flagella.[21,22] Because recurrent infection and hydrocephalus are frequently observed in primary cilia dyskinesia (PCD),[23] the ciliary dysfunction in affected individuals in this family was the most likely factor behind the pathogenesis. Since the nonsense mutation in this gene resulted in truncation of the protein, CFAP43 is suggested to be relevant to the pathogenesis of PCD (figure 2A).
Figure 2

Position of the familial nonsense mutation in exon 35 of the CFAP43 gene and ciliary ultrastructure of nasal mucosa

(A) The position of the familial nonsense mutation in exon 35 of the CFAP43 gene, which is located within the SMC-N (N-terminus of structural maintenance of chromosomes proteins) domain that is highly conserved among multiple species. (B) Ciliary ultrastructure of nasal mucosa in a patient (II-1). Blue box: normal 9 + 2 axoneme. Orange box: abnormal compound cilia, involving 2 axonemes in one ciliary shaft.

Position of the familial nonsense mutation in exon 35 of the CFAP43 gene and ciliary ultrastructure of nasal mucosa

(A) The position of the familial nonsense mutation in exon 35 of the CFAP43 gene, which is located within the SMC-N (N-terminus of structural maintenance of chromosomes proteins) domain that is highly conserved among multiple species. (B) Ciliary ultrastructure of nasal mucosa in a patient (II-1). Blue box: normal 9 + 2 axoneme. Orange box: abnormal compound cilia, involving 2 axonemes in one ciliary shaft. To confirm the ciliary ultrastructure in a patient, we analyzed the nasal mucosa by TEM and found a number of abnormal compound cilia (figure 2B). Considering both our genetic findings and the TEM observations, it is strongly suggested that nonsense mutation in CFAP43 is involved in the pathogenesis of NPH in this family.

Phenotype of Cfap43−/− mice

To confirm the effect of truncation of CFAP43 on the pathogenesis of hydrocephalus, we introduced a 14-bp deletion in exon 35 of mouse ortholog CFAP43 using CRISPR/Cas9 gene editing technology (figure 3A). This deletion generates a premature stop codon, resulting in truncation of the Cfap43 protein (figure 3B). The expression of frameshifted Cfap43 mRNA in the brain and trachea of mutant mice was confirmed by RT-PCR (figure 3C). The low expression level of mutated Cfap43 mRNA was confirmed by quantitative RT-PCR, suggesting that nonsense-mediated mRNA decay reduced the level of mRNA harboring the premature termination codon (figure 3D). Moreover, the lower number of Cfap43−/− offspring from interbreeding mice indicated that embryonic lethality or development difficulties had occurred in some homozygous mutant offspring (table).
Figure 3

Electropherograms, the 14-bp deletion, and quantitative RT-PCR

(A) Electropherograms of the 14-bp deletion in exon 35 of mouse Cfap43 produced using CRISPR/Cas9 gene editing technology. (B) The 14-bp deletion generates a premature stop codon and is predicted to produce a truncated nonfunctional protein. (C) Electropherograms of brain and tracheal cDNA. The 14-bp deletion mutation was confirmed by RT-PCR using cDNA templates from wild-type (WT) and Cfap43−/− mouse tissues. (D) Quantitative RT-PCR. Cfap43 was detected at a very low expression level in the brain and trachea of homozygous mutant mice.

Table

Non-Mendelian ratios from interbreeding of Cfap43+/− mice

Electropherograms, the 14-bp deletion, and quantitative RT-PCR

(A) Electropherograms of the 14-bp deletion in exon 35 of mouse Cfap43 produced using CRISPR/Cas9 gene editing technology. (B) The 14-bp deletion generates a premature stop codon and is predicted to produce a truncated nonfunctional protein. (C) Electropherograms of brain and tracheal cDNA. The 14-bp deletion mutation was confirmed by RT-PCR using cDNA templates from wild-type (WT) and Cfap43−/− mouse tissues. (D) Quantitative RT-PCR. Cfap43 was detected at a very low expression level in the brain and trachea of homozygous mutant mice. Non-Mendelian ratios from interbreeding of Cfap43+/− mice The brain of Cfap43−/− mice showed dilation of the third and lateral ventricles in H&E staining. Epithelial cells of the lateral ventricle, choroid plexus, and trachea of Cfap43−/− mice showed no obvious difference from those in WT mice on H&E staining (figure 4, A and B). In testis and epididymal tissue, distorted sperm flagella and excess cytoplasm were observed, which correspond to the findings in previous reports[21,22] (figure 4C). Cfap43+/− mice showed no obvious differences from WT mice in terms of H&E staining in testis and epididymis.
Figure 4

Mouse histology

(A) Cfap43 mouse brain showed dilation of third and lateral ventricles on hematoxylin & eosin staining. Epithelial cells of the lateral ventricle and choroid plexus of Cfap43−/− mice did not show obvious abnormalities compared with those of wild-type (WT) mice under a conventional optical microscope. CP = choroid plexus; LV = lateral ventricle. Black scale bar = 50 μm. White scale bar = 20 μm. (B) Tracheal epithelial cells of Cfap43−/− mice did not show remarkable change on hematoxylin & eosin staining. Black scale bar = 200 μm. White scale bar = 20 μm. (C) In testis and epididymal tissue, distorted sperm flagella and excess cytoplasm in Cfap43−/− mice were found. Black scale bar = 50 μm. White scale bar = 20 μm.

Mouse histology

(A) Cfap43 mouse brain showed dilation of third and lateral ventricles on hematoxylin & eosin staining. Epithelial cells of the lateral ventricle and choroid plexus of Cfap43−/− mice did not show obvious abnormalities compared with those of wild-type (WT) mice under a conventional optical microscope. CP = choroid plexus; LV = lateral ventricle. Black scale bar = 50 μm. White scale bar = 20 μm. (B) Tracheal epithelial cells of Cfap43−/− mice did not show remarkable change on hematoxylin & eosin staining. Black scale bar = 200 μm. White scale bar = 20 μm. (C) In testis and epididymal tissue, distorted sperm flagella and excess cytoplasm in Cfap43−/− mice were found. Black scale bar = 50 μm. White scale bar = 20 μm. To better characterize the molecular defect of Cfap43−/− mice, we performed immunofluorescent staining (IF) using an antibody targeting ciliary proteins, since the loss of several proteins comprising the axoneme in sperm was previously reported in Cfap43-deficient mice.[22] In IF, decrease in number of acetylated tubulin (as a marker of cilium mortality) was found in the choroid plexus of Cfap43−/− mice (figure 5A). Moreover, some of the epithelial cells of the lateral ventricle and trachea of Cfap43−/− mice showed defect of Spef2 (as a marker of the axoneme central pair) and Rsph4a (as a marker of radial spokes) (figure 5, B and C). This IF result indicates the abnormal protein composition in the cilia of Cfap43-deficient mice.[22]
Figure 5

Immunofluorescent staining of ciliary protein

(A) Decrease in number of acetylated tubulin (white arrowheads) was found in the choroid plexus of Cfap43−/− mice. Green: ac-tubulin, marker of cilia. Blue: DAPI. White scale bar = 50 μm. (B) Some epithelial cells of the lateral ventricle and trachea of Cfap43−/− mice showed defect of Spef2 protein. Green: ac-tubulin, marker of cilia. Red: Spef2, a marker of the axoneme central pair. Blue: DAPI. White scale bar = 20 μm. (C) Some epithelial cells of the lateral ventricle and trachea of Cfap43−/− mice showed a defect of Rsph4a protein expression. Green: ac-tubulin, a marker of cilia. Red: Rsph4a, a marker of radial spokes. Blue: DAPI. White scale bar = 20 μm. (C) Some epithelial cells of the lateral ventricle and trachea of Cfap43−/− mice showed a defect of Rsph4a protein expression. Green: ac-tubulin, a marker of cilia. Red: Rsph4a, a marker of radial spokes. Blue: DAPI. White scale bar = 20 μm. WT = wild-type.

Immunofluorescent staining of ciliary protein

(A) Decrease in number of acetylated tubulin (white arrowheads) was found in the choroid plexus of Cfap43−/− mice. Green: ac-tubulin, marker of cilia. Blue: DAPI. White scale bar = 50 μm. (B) Some epithelial cells of the lateral ventricle and trachea of Cfap43−/− mice showed defect of Spef2 protein. Green: ac-tubulin, marker of cilia. Red: Spef2, a marker of the axoneme central pair. Blue: DAPI. White scale bar = 20 μm. (C) Some epithelial cells of the lateral ventricle and trachea of Cfap43−/− mice showed a defect of Rsph4a protein expression. Green: ac-tubulin, a marker of cilia. Red: Rsph4a, a marker of radial spokes. Blue: DAPI. White scale bar = 20 μm. (C) Some epithelial cells of the lateral ventricle and trachea of Cfap43−/− mice showed a defect of Rsph4a protein expression. Green: ac-tubulin, a marker of cilia. Red: Rsph4a, a marker of radial spokes. Blue: DAPI. White scale bar = 20 μm. WT = wild-type. To better characterize the ciliary ultrastructure of Cfap43-deficient mice, we performed TEM analysis. TEM revealed a normal 9 + 2 axoneme in the cross-section of WT tracheal cilia (figure 6, A–C) but abnormal 8 or 10 + 2 peripheral microtubules in Cfap43−/−(figure 6, D–F). In addition, compound cilia were observed only in Cfap43−/− mice (figure 6, G–J). This result is consistent with the observation in nasal epithelia in a patient with familial NPH (figure 2B).
Figure 6

Ciliary ultrastructure of tracheal epithelium

(A–C) Wild-type (WT) tracheal cilia. Blue box: The normal 9 + 2 axoneme was observed in the cross-section of WT cilia. Scale bars: a = 1 μm; b, c = 100 nm. (D–F) Cfap43−/− tracheal cilia. Green box: Abnormal 10 + 2 peripheral microtubules were observed. Orange box: Abnormal 8 + 2 peripheral microtubules were observed. Scale bars: D = 1 μm; E, F = 100 nm. (G, H) WT tracheal cilia. No compound cilia were observed. Scale bars: G = 1 μm, H = 200 nm. (I, J) Cfap43−/− tracheal cilia. Compound cilia were observed. Scale bars: I = 1 μm, J = 200 nm.

Ciliary ultrastructure of tracheal epithelium

(A–C) Wild-type (WT) tracheal cilia. Blue box: The normal 9 + 2 axoneme was observed in the cross-section of WT cilia. Scale bars: a = 1 μm; b, c = 100 nm. (D–F) Cfap43−/− tracheal cilia. Green box: Abnormal 10 + 2 peripheral microtubules were observed. Orange box: Abnormal 8 + 2 peripheral microtubules were observed. Scale bars: D = 1 μm; E, F = 100 nm. (G, H) WT tracheal cilia. No compound cilia were observed. Scale bars: G = 1 μm, H = 200 nm. (I, J) Cfap43−/− tracheal cilia. Compound cilia were observed. Scale bars: I = 1 μm, J = 200 nm.

Discussion

In this study, using WES, we found a nonsense mutation in CFAP43 in a Japanese family including multiple individuals with NPH. Subsequently, we generated Cfap43-deficient mice using CRISPR/Cas9, which showed the hydrocephalus phenotype with the morphologic abnormality of motile cilia mimicking human NPH. These results strongly suggest that CFAP43 is responsible for NPH. Recent studies have reported that biallelic mutations in CFAP43 cause male infertility with multiple morphologic abnormalities of the sperm flagella and suggested that this gene is strongly associated with the function and morphology of flagella.[21,22] Our results obtained from patients and model mice show that ciliary dysfunction due to CFAP43 affects not only the testis but also other tissues including the choroid plexus and epithelial cells of the ventricles of the brain and trachea. Considering both our genetic and pathologic findings, it is highly likely that the NPH phenotype observed in this family is one of the PCD-associated symptoms caused by the haploinsufficiency of CFAP43 in humans. Intriguingly, the mutation identified in the family was heterozygous. PCD is usually inherited in an autosomal recessive manner,[23-25] and previous genetic studies of PCD showed that its symptoms were clearly observable only in cases with biallelic mutations. A recent investigation has demonstrated the N-terminal domain and C-terminal domain of Fap43p have different intracellular localization signals, and only the C-terminal domain of Fap43p localizes to the cilia.[26] This suggests the importance of the C-terminal domain of CFAP43 for ciliary function in specific tissues, without redundancy to other ciliary proteins in humans. This raises the possibility that mutation in the C-terminal domain could have induced NPH even in members of the family heterozygous for this mutation. NPH could be a heterozygous phenotype and homozygous or biallelic mutations may result in an additional phenotype such as male infertility in humans. In this study, Cfap43−/− mice showed a considerably lower birth rate than Cfap43+/+ and Cfap43+/− mice (table). The phenotypes found in humans and mice are similar to each other but are expressed at different zygotic states. This clearly suggests a species difference in the effects of the gene mutation. The molecular function and localization in the cilia of CFAP43 are unclear; further functional studies such as confirming the interaction and ultrastructural localization in cilia are required to reveal the pathogenicity in this NPH-affected family. NPH often occurs in elderly people and its cause remains unclear in many patients; therefore, most patients with NPH are diagnosed with idiopathic NPH. Since it would be difficult to assume that late-onset hydrocephalus is one of the PCD-associated symptoms based only on clinical symptoms and signs, mutation screening in CFAPs should be useful for precise categorization leading to elucidation of the pathogenesis of NPH and the development of appropriate treatments.
  25 in total

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4.  Familial idiopathic normal pressure hydrocephalus.

Authors:  Joel Huovinen; Sami Kastinen; Simo Komulainen; Minna Oinas; Cecilia Avellan; Janek Frantzen; Jaakko Rinne; Antti Ronkainen; Mikko Kauppinen; Kimmo Lönnrot; Markus Perola; Okko T Pyykkö; Anne M Koivisto; Anne M Remes; Hilkka Soininen; Mikko Hiltunen; Seppo Helisalmi; Mitja Kurki; Juha E Jääskeläinen; Ville Leinonen
Journal:  J Neurol Sci       Date:  2016-06-25       Impact factor: 3.181

Review 5.  Fraser syndrome: features suggestive of prenatal diagnosis in a review of 38 cases.

Authors:  Aude Tessier; Mélie Sarreau; Fanny Pelluard; Gwenaelle André; Sophie Blesson; Martine Bucourt; Pierre Dechelotte; Laurence Faivre; Thierry Frébourg; Alice Goldenberg; Valérie Goua; Corinne Jeanne-Pasquier; Fabien Guimiot; Annie Laquerriere; Nicole Laurent; Mathilde Lefebvre; Philippe Loget; Martine Maréchaud; Charlotte Mechler; Marie-Josée Perez; Jean Christophe Sabourin; Alain Verloes; Sophie Patrier; Anne-Marie Guerrot
Journal:  Prenat Diagn       Date:  2016-12-09       Impact factor: 3.050

6.  From FastQ data to high confidence variant calls: the Genome Analysis Toolkit best practices pipeline.

Authors:  Geraldine A Van der Auwera; Mauricio O Carneiro; Christopher Hartl; Ryan Poplin; Guillermo Del Angel; Ami Levy-Moonshine; Tadeusz Jordan; Khalid Shakir; David Roazen; Joel Thibault; Eric Banks; Kiran V Garimella; David Altshuler; Stacey Gabriel; Mark A DePristo
Journal:  Curr Protoc Bioinformatics       Date:  2013

7.  Biallelic Mutations in CFAP43 and CFAP44 Cause Male Infertility with Multiple Morphological Abnormalities of the Sperm Flagella.

Authors:  Shuyan Tang; Xiong Wang; Weiyu Li; Xiaoyu Yang; Zheng Li; Wangjie Liu; Caihua Li; Zijue Zhu; Lingxiang Wang; Jiaxiong Wang; Ling Zhang; Xiaoling Sun; Erlei Zhi; Hongyan Wang; Hong Li; Li Jin; Yang Luo; Jian Wang; Shenmin Yang; Feng Zhang
Journal:  Am J Hum Genet       Date:  2017-05-25       Impact factor: 11.025

8.  ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data.

Authors:  Kai Wang; Mingyao Li; Hakon Hakonarson
Journal:  Nucleic Acids Res       Date:  2010-07-03       Impact factor: 16.971

9.  Predicting the functional effect of amino acid substitutions and indels.

Authors:  Yongwook Choi; Gregory E Sims; Sean Murphy; Jason R Miller; Agnes P Chan
Journal:  PLoS One       Date:  2012-10-08       Impact factor: 3.240

10.  Human genetic variation database, a reference database of genetic variations in the Japanese population.

Authors:  Koichiro Higasa; Noriko Miyake; Jun Yoshimura; Kohji Okamura; Tetsuya Niihori; Hirotomo Saitsu; Koichiro Doi; Masakazu Shimizu; Kazuhiko Nakabayashi; Yoko Aoki; Yoshinori Tsurusaki; Shinichi Morishita; Takahisa Kawaguchi; Osuke Migita; Keiko Nakayama; Mitsuko Nakashima; Jun Mitsui; Maiko Narahara; Keiko Hayashi; Ryo Funayama; Daisuke Yamaguchi; Hiroyuki Ishiura; Wen-Ya Ko; Kenichiro Hata; Takeshi Nagashima; Ryo Yamada; Yoichi Matsubara; Akihiro Umezawa; Shoji Tsuji; Naomichi Matsumoto; Fumihiko Matsuda
Journal:  J Hum Genet       Date:  2016-02-25       Impact factor: 3.172

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  21 in total

Review 1.  Development of a straight vertebrate body axis.

Authors:  Michel Bagnat; Ryan S Gray
Journal:  Development       Date:  2020-10-06       Impact factor: 6.868

2.  A systematic, label-free method for identifying RNA-associated proteins in vivo provides insights into vertebrate ciliary beating machinery.

Authors:  Kevin Drew; Chanjae Lee; Rachael M Cox; Vy Dang; Caitlin C Devitt; Claire D McWhite; Ophelia Papoulas; Ryan L Huizar; Edward M Marcotte; John B Wallingford
Journal:  Dev Biol       Date:  2020-09-06       Impact factor: 3.582

Review 3.  Normal pressure hydrocephalus-an overview of pathophysiological mechanisms and diagnostic procedures.

Authors:  Petr Skalický; Arnošt Mládek; Aleš Vlasák; Patricia De Lacy; Vladimír Beneš; Ondřej Bradáč
Journal:  Neurosurg Rev       Date:  2019-11-08       Impact factor: 3.042

Review 4.  The genetic architecture of morphological abnormalities of the sperm tail.

Authors:  Aminata Touré; Guillaume Martinez; Zine-Eddine Kherraf; Caroline Cazin; Julie Beurois; Christophe Arnoult; Pierre F Ray; Charles Coutton
Journal:  Hum Genet       Date:  2020-01-16       Impact factor: 4.132

5.  Ciliary Dysfunction: The Hairy Explanation of Normal Pressure Hydrocephalus?

Authors:  Eoin Mulroy; Anna Latorre; Francesca Magrinelli; Kailash P Bhatia
Journal:  Mov Disord Clin Pract       Date:  2019-12-20

6.  Effect of cilia-induced surface velocity on cerebrospinal fluid exchange in the lateral ventricles.

Authors:  Haruki Yoshida; Shunichi Ishida; Taiki Yamamoto; Takayuki Ishikawa; Yuichi Nagata; Kazuhito Takeuchi; Hironori Ueno; Yohsuke Imai
Journal:  J R Soc Interface       Date:  2022-08-03       Impact factor: 4.293

7.  Bi-allelic truncating variants in CFAP206 cause male infertility in human and mouse.

Authors:  Qunshan Shen; Guillaume Martinez; Yunxia Cao; Charles Coutton; Hongbin Liu; Julie Beurois; Huan Wu; Amir Amiri-Yekta; Dan Liang; Zine-Eddine Kherraf; Marie Bidart; Caroline Cazin; Tristan Celse; Véronique Satre; Nicolas Thierry-Mieg; Marjorie Whitfield; Aminata Touré; Bing Song; Mingrong Lv; Kuokuo Li; Chunyu Liu; Fangbiao Tao; Xiaojin He; Feng Zhang; Christophe Arnoult; Pierre F Ray
Journal:  Hum Genet       Date:  2021-07-13       Impact factor: 4.132

Review 8.  Motile cilia genetics and cell biology: big results from little mice.

Authors:  Lance Lee; Lawrence E Ostrowski
Journal:  Cell Mol Life Sci       Date:  2020-09-11       Impact factor: 9.261

9.  Quantification of Oscillatory Shear Stress from Reciprocating CSF Motion on 4D Flow Imaging.

Authors:  S Yamada; H Ito; M Ishikawa; K Yamamoto; M Yamaguchi; M Oshima; K Nozaki
Journal:  AJNR Am J Neuroradiol       Date:  2021-01-21       Impact factor: 3.825

Review 10.  The regulatory roles of motile cilia in CSF circulation and hydrocephalus.

Authors:  Vijay Kumar; Zobia Umair; Shiv Kumar; Ravi Shankar Goutam; Soochul Park; Jaebong Kim
Journal:  Fluids Barriers CNS       Date:  2021-07-07
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