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. 2024 Jul 8;7:831. doi: 10.1038/s42003-024-06466-1

Variants of NAV3, a neuronal morphogenesis protein, cause intellectual disability, developmental delay, and microcephaly

Amama Ghaffar 1,2,#, Tehmeena Akhter 1,2,#, Petter Strømme 3, Doriana Misceo 4, Amjad Khan 5,6,7, Eirik Frengen 4, Muhammad Umair 8, Bertrand Isidor 9, Benjamin Cogné 9, Asma A Khan 2, Ange-Line Bruel 10, Arthur Sorlin 10,11, Paul Kuentz 10, Christine Chiaverini 12, A Micheil Innes 13, Michael Zech 14,15,16, Marek Baláž 17, Petra Havrankova 18, Robert Jech 18, Zubair M Ahmed 1, Sheikh Riazuddin 19, Saima Riazuddin 1,
PMCID: PMC11231287  PMID: 38977784

Abstract

Microtubule associated proteins (MAPs) are widely expressed in the central nervous system, and have established roles in cell proliferation, myelination, neurite formation, axon specification, outgrowth, dendrite, and synapse formation. We report eleven individuals from seven families harboring predicted pathogenic biallelic, de novo, and heterozygous variants in the NAV3 gene, which encodes the microtubule positive tip protein neuron navigator 3 (NAV3). All affected individuals have intellectual disability (ID), microcephaly, skeletal deformities, ocular anomalies, and behavioral issues. In mouse brain, Nav3 is expressed throughout the nervous system, with more prominent signatures in postmitotic, excitatory, inhibiting, and sensory neurons. When overexpressed in HEK293T and COS7 cells, pathogenic variants impaired NAV3 ability to stabilize microtubules. Further, knocking-down nav3 in zebrafish led to severe morphological defects, microcephaly, impaired neuronal growth, and behavioral impairment, which were rescued with co-injection of WT NAV3 mRNA and not by transcripts encoding the pathogenic variants. Our findings establish the role of NAV3 in neurodevelopmental disorders, and reveal its involvement in neuronal morphogenesis, and neuromuscular responses.

Subject terms: Medical genetics, Autism spectrum disorders


neuron navigator-3 (NAV3) is involved in neuronal morphogenesis, vision, and neuromuscular responses, and the biallelic/mono-allelic variants of NAV3 are causative of a spectrum of neurodevelopmental disorders

Introduction

Microtubules plus-end tracking proteins (+TIPs) are a group of microtubule associated proteins (MAPs) well known to be involved in neurodevelopmental and neurodegenerative disorders1. These multifunction regulatory proteins interact with microtubules to direct cell division, protein trafficking, signal transduction, and cell polarity for migration and morphogenesis2. +TIPs harbor a subclass, neuron navigating proteins (NAVs) having SxIP motif (Ser/Thr:X: Ile/Leu: Pro) that interact with end-binding (EB) proteins and alpha-tubulin subunits on growing microtubules3. Structurally NAVs harbor calponin homology domain (CH) and microtubule-binding domain (MTBD) that facilitate binding with actin and microtubules, respectively, along with diverse cellular Activities (+AAA) domain responsible for ATPase type activity4.

In vertebrates, three NAV proteins are known: NAV1, NAV2, and NAV3, which are homologs of un-53 C. elegans protein involved in cell migration, neurite growth, and axonal elongation as mutants showed deficits of neuronal outgrowth along with egg-laying defects5. Nav1 has high expression in the murine heart and nervous system, specifically in postmitotic and promigratory neurons6. However, Nav3 expression declines after birth, emphasizing the fact that it is an early development protein required for axonogenesis and synapse formations6. Similarly, NAV2 also has high expression in the central nervous system (CNS) and participates in brain development through its interaction with actin via ABI and ARP2/3 complex7. Loss of NAV2 caused cerebral hypoplasia and hypoactivity in mice8. Finally, Nav3 longest isoform (~10 kb) is expressed in the nervous system as early as 10 days post-conception in murine9. In the neurons, NAV3 participates in cytoskeleton organization via binding with actin and MAPs, such as Ab1, p73, and Src10. In zebrafish, nav3 shows high expression in the brain, somite, liver, heart, swim bladder, and intestines, and knocking out leads to cardiogenesis deficits and a decreased survival rate11. While nav3a zebrafish morphants have defective cellular movements at the liver budding stage and caused an abnormal organogenesis12. In short, all the three NAVs show involvement in neuronal migration through expression-based studies.

Recently, through transmission disequilibrium test protein-truncating variants in NAV3 have been identified in individuals with autism spectrum disorder (ASD) and other neurodevelopmental disorders (NDDs)13. However, no functional studies were conducted to determine their impact on the NAV3 function. Here, we report seven families showing vast genetic and phenotypic spectrum associated with NAV3 variants. The enrolled individuals of multiple ethnicities show intellectual disability (ID), microcephaly, speech delay, aggressive behavior, and skeletal deformities as the most common phenotypes. with multiple patterns of inheritance, including autosomal recessive, autosomal dominant, and de novo.

Results

Genetics and clinical studies

After the identification of candidate variants in NAV3 in the affected individuals of family PKMR471 from Pakistan, using GeneMatcher services, we subsequently connected with colleagues worldwide14. Together, we report seven unique NAV3 variants in eleven affected individuals from seven unrelated families (Fig. 1a). All the identified individuals have ID (HP:0010864) as a common phenotype varying from mild to severe (Fig. 1b; Table 1). Almost all the affected individuals for whom clinical data is available show speech delay (HP:0000750), global developmental delay (HP: 0001263), and microcephaly (HP:0000252) (Fig. 1c). Other clinical features include aggressive behavior (HP:0000718) neuromuscular issues (HP: 0001252, HP:0001270, HP:0000486, and HP:0001332), dysmorphic structural abnormalities (HP:0000164), hypertelorism (HP:0000316), and congenital abnormalities (HP:0000035) (Fig. 1c; Table 1). Magnetic resonance imaging of the individual II:2 from family PK1 reveals normal brain morphology, including brainstem, corpus callosum, sella, and suprasellar structures along with preserved gray-white matter. However, two small developmental venous anomalies through the right side of the midbrain and cerebellum were observed with slightly delayed myelination as compared to the patient’s age (Fig. 1d).

Fig. 1. NAV3 genetic variants cause intellectual disability, microcephaly, speech, and development delay in humans.

Fig. 1

a Pedigrees of seven families from diverse ethnicities with affected individuals due to genetic variants in NAV3 with multiple inheritance patterns. Filled symbols represent affected individuals, while a double horizontal line connecting parents shows a consanguineous marriage. Affected individuals of PKMR471, PK1, PE30, and F01 families are homozygous for the NAV3 variants. In contrast, family FM1 has a dominant inheritance pattern, and affected individuals of families PED4263 and MI01 have de novo variants. b Representative images of facial features of PKMR471 affected individual (IV:3) with severe ID showing dentofacial dysmorphism, microcephaly, hypertelorism, and strabismus, while affected individual of family PE30 (II:4) with moderate ID has microcephaly and skin pigmentation problems. c Bar graph representing frequency salient phenotypic features observed in the individuals that harbor genetic variants in NAV3. ID, speech, and developmental delay, and cephalic are commonly shared features. d MRI of the control and an affected individual of family PK1. Similar to control, the overall brain morphology of the affected individual was also unremarkable. However, the affected individual had mild delayed myelination (marked by red arrows) represents mild delayed myelination. Two minor developmental venous anomalies through the right side of the midbrain and cerebellum.

Table 1.

Phenotypic characteristics of individuals harboring NAV3 variants

Family PKMR471 PE30 MI01 F01 PED4263 PK1 FM1
Variant p.(Arg2261Cys) p.(Ser1326Asn) p.(Ser1681Arg) p.(Thr1617Tyrfs*9) p.(Asp1208Argfs*58) p.(Trp332*) p.(Trp2270*)
Genotype Homozygous Homozygous De novo Homozygous De novo Homozygous Heterozygous
Ethnicity Pakistani Pakistani - Caucasian French Pakistani European
Individual IV:3 IV:4 II:4 II:5 II:1 II:1 II:1 II:2 I:1 II:1 II:2
Sex Male Male Female Female Male Male Male Male Female Female Female
Current Age/age of evaluation (years) 22 14 19 19 NA 8 years 4 12 50 30 27
Age of onset By birth By birth By birth By birth NA ND By birth By birth ND ND 14
Intellectual disability Severe Severe Moderate Moderate Mild Mild Mild Severe Mild Mild Mild
Speech delay

Yes

Speak few words 3 years

Yes

Speak few words in 2.5 years

Yes

Few words at the age of 5 years

Yes

Few words at the age of 5 years

Yes

First word after 2 years

Yes

First word at the age of 3 years

Yes

Yes

Two to three words at 2 years of age

Preserved

Speech

Preserved

Speech

Preserved

Speech

Developmental delay

Yes

Speech and walk delay

Yes

Speech and walk delay

Yes

Walk at 2 years of age

Yes

Walk at 2 years of age

Yes Yes Yes

Yes

Still can’t, walk only with aid

Cannot self-feed

ND ND ND
Head abnormalities Microcephaly Microcephaly Microcephaly Microcephaly NA +1.4 SD +2 SD Microcephaly No No No
Structural abnormalities Yes, dentofacial abnormality, curved backbone, hypertelorism, and feet deformity Yes, dentofacial abnormality, curved backbone, hypertelorism, and feet deformity No No Yes Short hands, Hypertelorism, long palpebral fissures Pointed chin No No No No
Behavioral problem Aggressive Aggressive Hyperactivity with stereotypic hand movements Hyperactivity with stereotypic hand movements NA ADHD

Frustration,

ADHD

Aggressive

Introvert

No No No
Eyes anomalies Hypertelorism and mild strabismus Hypertelorism and strabismus (Exotropia) No No NA Strabismus (hypermetropia) large eyebrows No No No No No
Ear anomalies No No No No NA Large ear lobules Protruding ears No No No No
Heart defects No No No No NA NA Ventricular septal defect at birth spontaneously closed No No No No
Neuro/muscular

Yes, cannot walk without support

First walk attempt 8 years of age

Yes, cannot walk without support

First walk attempt at 4 years of age

NA NA NA Na No Yes, cannot walk without support Generalized dystonia, wheelchair-bound Mild dystonia (face) Generalized dystonia, dystonia of neck, face, all 4 limbs, walking with support only
Congenital anomalies No No No No Yes testicular ectopia No not reported not reported not reported
Other Hypotonia Hypotonia Pigmentary skin changes, normal CGH- array, MECP2 and UBE3A expression normal, EEG normal NA NA Large, crumbled café-au-lait stain on chest and back Hypotonia Movement disorder (dystonia) Movement disorder (dystonia) Movement disorder (dystonia)

NA no information available.

All probands of the identified families were exome sequenced at participating centers, followed by Sanger sequencing to confirm the variants and their segregation. Among the identified variants in NAV3, four have recessive inheritance patterns (p.(Arg2261Cys), p.(Trp332*), p.(Ser1326Asn), p.(Thr1617Tyrfs*9)) in families PKMR471, PK01, PE30, and F01 respectively (Fig. 1a). Affected individuals of families MI01 and PED4263 have de novo variants (p.(Ser1681Arg); p.(Asp1208Argfs*58)), while the dominant inheritance of p.(Trp2270*) is observed only in one family FM1 (Fig. 1a). These variants are spread all over the protein (Fig. 2a). In-silico, pathogenicity predictors show that variants identified in our cohort impact the protein function and are pathogenic (Table 2). The allele frequency for all variants is very low (<0.001%) in the general population (Table 2).

Fig. 2. In-silico analysis and 3D protein modeling support deleterious impact of NAV3 variants.

Fig. 2

a Schematic representation of human NAV3 gene (top) and encoded protein (bottom) structures, along with the variants identified in this study. NAV3 in humans is comprised of 39 coding exons, while encodes Neuron Navigator 3 (NAV3) protein with multiple functional domains, including the Calponin homology region (CH), microtubule-binding domain (MTBD), ATPases (AAA), and three coiled-coil regions (green ovals). b The Missense Tolerance Ratio (MTR) graph and Intolerance landscape visualization of NAV3 via MetaDome are presented with relative positions of the variants identified in our cohort. All of the identified variants are located in relatively intolerant regions of the NAV3. c High conservation of the residues, replaced due to the missense variants found in this study, was observed during evolution. d Three-dimensional (3D) protein modeling illustrating an overview of NAV3 protein. The left panels represent wild-type residues at given positions, while their alternate mutated residues are in the right panels. Color code: green element; targeted amino acid; interacting amino acids: mustard, pink, purple, red, badge, rose, and burgundy, while hydrogen bonding between the residues is shown with yellow dotted lines along with the distances in Å. For p.Ser1326Asn substitution, a loss of hydrogen bond with p.Ser1128 (purple) was predicted. Similarly, for the p.Ser1681Arg variant, loss of hydrogen bond with p.Glu1734 (badge) was predicted. The p.Arg2261Cys variant is predicted to abolish four hydrogen bonds: two with p.Arg2264 (pink) and two with p.Glu2320 (mustard).

Table 2.

In-silico pathogenicity prediction analysis of NAV3 variants

Pathogenic predictors p.(Arg2261Cys) p.(Ser1326Asn) p.(Ser1681Arg) p.(Thr1617Tyrfs*9) p.(Asp1208Argfs*58) p.(Trp332*) p.(Trp2270*)
gnomAD 0.0000201 NDA NDA NDA NDA NDA NDA
CADD 34 25.2 26.1 NA NA 41 54
MTR 0.9 0.87 0.86 NA NA NA NA
MetaDome Slightly tolerant Slightly intolerant Slightly intolerant NA NA NA NA
GERP++ 5.4 5.96 4.49 NA NA 5.5 5.4
M-CAP Damaging Tolerated Damaging NA NA NA NA
SIFT Tolerated Damaging Damaging NA NA NA NA
MutationTaster Disease causing Disease causing Disease causing NA NA Disease-causing Disease-causing
Provean Pathogenic Uncertain Pathogenic NA NA NA NA
Polyphen-2 HumDiv Probably Damaging Probably damaging Probably damaging NA NA NA NA
ACMG classification BP1a, BP4b, PM2c BP1a, BP4b, PM2c BP1a, BP4b, PM2c PVS1d, PM2c PM2c PVS1d, PM2c PM2c

NDA no data available, NA not applicable.

aBP1 = Missense variant in a gene for which primarily truncating variants are known to cause disease. (Benign, Supporting).

bBP4 = MetaRNN = 0.415 is between 0.267 and 0.43.

c PM2 Variant not found in gnomAD genomes.

dPVS1 = Null variant (nonsense) in gene NAV3, predicted to cause NMD.

The probability of loss of function Intolerance scores (pLI) for the NAV3 gene is 1, and Z constraint for missense variants is 1.33, showing the NAV3 to be intolerant for any loss of function and missense variants15. The Missense tolerance ratio (MTR) scores and MetaDome for the missense variants show the identified variants to be slightly intolerant (Fig. 2b). Clustal Omega shows high conservation of all the ID-associated missense residue across various species (Fig. 2c). Next, we performed 3-Dimensional molecular modeling to further dissect the impact of identified missense variants on the protein folding and secondary structure (Fig. 2d). For hydrogen bond analysis PyMOL was used to find interacting bonds of WT and mutated amino acids to neighboring amino acids. The p.Ser1326Asn variant is predicted to cause a loss of hydrogen bond with p.Ser1128 residue due to small size and less hydrophobic nature of asparagine residue as compared to WT serine residue, and thus might impact protein secondary structure. The p.Ser1681Arg variant is also predicted to remove hydrogen bonding with p.Glu1734 residue due to less hydrophobic, smaller size and positive charge of arginine residue (Fig. 2d). Moreover, p.Ser1681Arg substitution causes energy destabilization (−0.0 kcal/mol). In contrast, the p.Arg2261Cys variant resulted in loss of four hydrogen bonds, two with p.Arg2264 and two with p.Glu2320 residues (Fig. 2d), thus likely impact protein folding and secondary structure.

NAV3 variants impact microtubule polymerization and structural stability

To functionally validate these bioinformatic findings, we transiently overexpressed WT and ID-variants harboring NAV3 cDNAs in COS7 cells. NAV3 WT protein showed expression overlap with acetylated tubulin, a marker for polymerized microtubules with the formation of extended filopodia (Fig. 3). Similar to WT protein, the p.Arg2261Cys, p.Ser1326Asn, and p.Ser1681Arg variants harboring NAV3 also showed overlapping expression with stable microtubule structures along with condensed granule expression towards +Tips of microtubules (Fig. 3). However, the protein-truncating variants, except p. Asp1208Argfs*58, did not show +Tip granule formations (Fig. 3). Among the variants analyzed, NAV3 with p.Thr1617Tyrfs*9 and p.Trp332* had reduced or no bundling (Fig. 3) and show centralized expression in nucleus (not shown).

Fig. 3. NAV3 interacts with microtubules in COS7 cells.

Fig. 3

GFP-tagged WT and mutated NAV3 proteins (green) showed an overlap expression (yellow) with microtubules, decorated with acetylated tubulin antibodies (red). Granular expression of NAV3 was observed at dendrite-like structure formations and tip ends of microtubules. White arrow heads show the granule type expression at +Tip ends of microtubules. Similar to WT protein, the p.Arg2261Cys, p.Ser1326Asn, and p.Ser1681Arg variants harboring NAV3 also showed overlapping expression with stable microtubule structures. However, the protein-truncating variants, except p. Asp1208Argfs*58, did not show +Tip granule formations. Among the variants analyzed, NAV3 with p.Thr1617Tyrfs*9 and p.Trp332* had reduced or no bundling and show centralized expression in nucleus. Scale bar: 20 um.

To further decipher the pathogenic impact of identified variants on the encoded protein, we studied microtubule stability in the presence of polymerization inhibitor nocodazole. By exposing non-transfected HEK293T as well as COS7 cells to nocodazole, we observed an almost complete loss of stable microtubules and reduced expression of acetylated and tyrosinated tubulin (Fig. 4a, b and Supplementary Fig. 1a, b). Consistent with prior studies, GFP-NAV3WT transfected cells showed detectable stable microtubules despite nocodazole treatment (Fig. 4a, b). Intriguingly, all of the identified ID-causing variants were not able to maintain the microtubule structures and had statistically significant reduced stability impact on polymerized microtubules when compared to NAV3WT expressing cells (Fig. 4b, Supplementary Data 1), hence supporting their deleterious impact on the encoded NAV3.

Fig. 4. ID-associated variants impact NAV3 ability to stabilize microtubule in HEK293T cells.

Fig. 4

a Representative confocal images of GFP-NAV3 wild type (WT) and mutated proteins (green) overexpressing HEK293T cells treated with 10 μM nocodazole for 1 h, and immuno-labeled with microtubule acetylated tubulin (orange) and tyrosinated tubulin (red) markers. Compared to cells over-expressing WT GFP-NAV3 with a stable microtubular network despite the nocodazole treatment, all the ID-associated variants impact the microtubule-stabilization function of NAV3. Dotted white lines show zoomed in areas in insets. Scale bar: 20 μm. b Bar graph quantification ratio of stable to dynamic microtubules for all respected treated groups. At least 10 transfected cells per construct were imaged and quantified. All the variants expressing cells results were compared to WT using the paired student t-test. NAV3 proteins harboring ID-associated variants showed significantly reduced microtubules stability (**** p < 0.0001; *p < 0.0350; **p < 0.00220). Error bars represent standard error of the mean. c Single-cell RNA (sc-RNA) expression profile of mouse cell clusters at early organogenesis (top panel) generated from transcriptomes of around 2 million cells derived from 61 embryos staged between 9.5 and 13.5 days of gestation (data available from UCSC cell browser). The transcriptome data (bottom panel) shows the highest expression of Nav3 in the neural tube and postmitotic neurons, while expression also observed in inhibitory and inter neurons. Dispersed expression in neuronal progenitor cells were also observed.

Knockdown of nav3 in zebrafish affects neurodevelopment and behavior

RNAseq data for Nav3 from the mouse organogenesis cells dataset shows high expression in neural tubes, postmitotic neurons, excitatory neurons, inhibitory neurons, and interneurons (Fig. 4c). Next, to determine the impact of the loss of NAV3 on brain development and structure, we turned to zebrafish and generated translational blocking (ATG_MO) morphants (Fig. 5a, b) on a neuroD transgenic zebrafish line (neuroD-GFP) genetic background, which expresses a GFP fluorescent marker through the transcriptional activity of neuroD promoters to progress neuronal differentiation16. Previous studies have shown that 10 ng of ATG_MO causes deficits in liver organogenesis12, therefore, we synthesized the same ATG_MO as well as splice site-directed MO (SS_MO) for our studies (Fig. 5a). When injected at 1–2 cell stages, the nav3 translation blocking ATG_MO at 8 ng as well as 10 ng dose resulted in morphological, developmental deficits as compared to the control MO (scrambled nucleotides) group (Fig. 5b). Similar phenotypes were observed with the injection of 12 ng SS_MO (Fig. 5b). SS_MO injected morphants amplified cDNA as compared to control resulted into exon 2 skipping (c.del178_195), and deletion of 118 bp from nav3 mRNA, leading to reading frameshift and premature truncation (p.Ile60Leufs*4) of the encoded protein (Fig. 5c). Based on the apparent abnormalities, we grouped the nav3 morphants into four classes: (1) Severe: underdeveloped head and eyes, small body length, no swim bladder, yolk and heart edema, and curved tail embryos; (2) Moderate: small head size (microcephaly), yolk and heart edema with curved tail; (3) Mild: small head size, yolk, and heart edema; and (4) Normal: having no apparent difference from WT or control injected (Fig. 5b, d, e). Head-to-length ratios in nav3 ATG morphants as compared to the control MO group further confirmed the microcephaly (Fig. 5f).

Fig. 5. Zebrafish nav3 morphants show severe development abnormalities.

Fig. 5

a Schematic representation of zebrafish nav3 gene along with position and sequence of ATG translational blocker (ATG_MO) and splice site (SS_MO) morpholinos. b Representative images of control (Control_MO), nav3 ATG_MO (10 ng), and SS_MO (12 ng) morphants. Based on their developmental morphology, nav3 morphants were grouped into severe, moderate, mild, and normal classes. Severe class morphants had underdeveloped heads and eyes, small body length, missing swim bladders, yolk and heart edema, and curved tails, while moderate class morphants had small head size, yolk, and heart edema with curved tail in morphants. The mild class morphants had small head sizes, yolk, and heart edema, while normal class morphants had no apparent morphological difference from WT or control injected larvae. c RT-PCR followed by gel electrophoresis revealed smaller PCR product in SS_MO injected morphants (top). Sanger sequencing of the PCR products confirmed aberrant splicing (exon 2 skipping, deletion of 118 bp; schematically represented in bottom panel) due to the SS_MO injection in zebrafish larvae. d, e Phenotype assessment-based bar graphs for control, nav3 ATG_MO, SS_MOs. d With increase in ATG_MO concentration, the phenotypic abnormalities among injected larvae also escalated. e Compared to control, significantly reduced (**p < 0.0048 and ****p < 0.000123) number of morphologically normal larvae observed in ATG_ and SS_MOs injected morphants. f Head-to-length ratio bar graph in uninjected, control_MO, and nav3 ATG_MO morphants. Compared to controls, nav3 morphants have statistically significant reduced head sizes (**p = 0.006931 and ****p = 0.000027, respectively), suggesting microcephaly. g Confocal images of zebrafish brain from the neuro-d transgenic line, injected with control (top) or nav3 (bottom) morpholinos. Control_MO injected larvae show normal morphology of optic tectum (OT), torus longitudinalis (TL), habenula (Hb), and corpus cerebelli (Cc) regions. In contrast, nav3 morphants had significantly reduced (****p < 0.000001) OT (highlighted with white dashed lines), quantified in (h). Scale bar: 100 um. i Violin plot showing statistically significant (****p < 0.000001) decreased movement in nav3 morphants as compared to controls, when subjected to light stimulus. Error bars in (d, e, f, h, I), represent standard error of the mean.

To gain further insights into neuronal growth patterns, we performed confocal imaging of the brain of control and nav3 ATG_MO injected morphants. In contrast to control injected fish, the nav3 ATG_MO injected morphants did not show any apparent expressional change in telencephalon regions except habenula (Hb) reduced size. However, the midbrain and hindbrain regions showed the absence of Torus longitudinalis (TL) with no mid region expression of neurod as well as reduced neuronal patterns and size of optic tectum and cerebellum (Fig. 5g, h). Further, to assess the impact of observed developmental abnormalities on motor responses in mild and normal class morphants, we subjected the singly housed larvae to 5 min of dark followed by 5 min in light17. We first observed no movement differences between un-injected and control_MO (10 ng) zebrafish embryos, while significant decreased (p < 0.0001) movements were observed in nav3 ATG_MO as compared to controls. (Fig. 5i).

Importantly, we were able to significantly improve (****p < 0.0001) the phenotypes of nav3 morphants with human NAV3WT mRNA in a dose dependent manner (Fig. 6a), injected at 1–2 cell stages. As compared to WT, mRNA injected groups with NAV3 variants showed significantly reduced (****p < 0.0001) abilities to rescue morphant phenotypes (Fig. 6b), thus further confirming their pathogenic nature. In summary, the in vivo study using zebrafish as a knockdown model for nav3 demonstrated the role of NAV3 in neuronal morphogenesis in mid and hindbrain regions.

Fig. 6. NAV3-WT mRNA injections rescued the phenotype in morphants as compared to variants harboring mRNAs.

Fig. 6

a Bar graph representation of morphant morphological phenotypes after injection of four different concentrations (250 pg, 500 pg, 750 pg, and 1000 pg) along with nav3 ATG_MO. The 500 pg concentration of NAV3-WT mRNA injection revealed the most significance rescue of normal class larvae. NS not-significant; ***p < 0.000250; and ****p < 0.00001. b Rescue experiments performed via co-injecting human NAV3WT or variants harboring mRNAs (500 pg) along with ATG_MO (8 ng) revealed significant rescue of normal developmental class in WT mRNA injected morphants compared to ATG_MO alone. The normal phenotype class in morphants from NAV3WT and the variants mRNAs co-injected were compared for statistical analysis (***p < 0.0001; ****p < 0.00001). Importantly, the ID-associated variant harboring NAV3 mRNAs could not rescue the normal developmental class of zebrafish, supporting their pathogenic nature. Error bars in (a, b) represent standard error of the mean.

Discussion

In this study, we describe a cohort of patients harboring deleterious variants in the NAV3 gene. The affected individuals show ID, microcephaly, skeletal deformities, ocular anomalies, and behavioral issues besides other clinical symptoms. Recently, another study documented nine nonsense, 12 frameshifts, and three splicing sites predicted pathogenic variants of NAV3 in subjects with ASD and NDDs (Fig. 7) based on transmission disequilibrium test13. ASD in about half of their cases coexisted with ID (18/35) and attention-deficit/hyperactivity disorder (ADHD; 15/35)13. Among our cases, ADHD was observed in subjects with truncating variants (Table 1). In contrast to almost all truncating variants found in ASD cases, half of our subjects with ID had missense variants (Fig. 1). Apparently, missense variants (presumably hypomorphic alleles) of NAV3 cause ID, while truncating alleles are responsible for ASD with additional neurological findings. In general, phenotype spectrum observed in our cohort overlaps with the prior study, and thus further confirm the role of NAV3 in the brain development and cognitive function.

Fig. 7. NAV3 variants cause a spectrum of Neurodevelopmental disorders (NDD) in humans.

Fig. 7

Bar diagram of NAV3 gene and protein structure showing mutations identified in this study at the top and mutations reported previously for Autism Spectrum Disorder (ASD) with other cooccurring NDDs at the bottom. Overall, among the 30 known variants, 10 are located in the MTBD domain, making it a suspectable hotspot region.

In contrast to prior study, which mostly report de novo variants, among our cases, we observed three different allele patterns, autosomal recessive, dominant, and de novo. Although our sample is not large enough for a meaningful genotype-phenotype correlation, intriguingly, individuals with biallelic NAV3 variants had severe ID with the prevalence of other features such as microcephaly, skeletal deformities, and behavioral problems. Affected individuals with heterozygous alleles (dominant and de novo cases) had mild ID with less prevalence of subsided issues (Table 1), which might reflect haploinsufficiency. However, larger variant sets and functional studies would be required to classify disease mechanisms of variants and to devise clinically applicable genotype-phenotype correlations.

NAV3 expression analysis in scRNA Organogenesis Cell Atlas revealed dispersed signatures in the neuron progenitor cells. However, higher expression was observed in the postmitotic neurons as early as E16.5 majorly in forebrain and midbrain, which supports potential role in cell migration and axonal guidance for the neurons to reach their functioning regions and connectivity points. These processes when interrupted cause morphogenesis related disorders such as agenesis of corpus callosum, microgyria, and agyria which ultimately lead to ID, microcephaly, developmental delays, poor muscle tone, and motor function1821. We observed similar deficits in our cohort (Table 1). Taken together, our findings support the pivotal function of NAV3 in neuronal morphogenesis and neurological disorders in humans.

NAV3 also interacts with cytoskeletal microtubules, which are heterodimer structures made up of alpha and beta tubulin. In initial development stages, neurons begin as unpolarized spherical-shaped cells with microtubules spreading out from organizing centers and form the basis of the γ-tubulin complex, which further act as templates for α- and β-tubulin dimers to begin polymerization for neurite formation, axon specification, elongation and branching along with dendrite and synapse formation11,22,23. NAV3 overexpression studies showed unpolarized cells to form filopodia extensions with granular expression at +Tip of microtubules. In contrast to prior study that reported expression only at comets of +Tips24, we found overexpressed NAV3 overlapped with microtubule bundles (Figs. 3, 4). NAV3 is also known to provide polymerization stability to microtubule dynamics4,24, a function we also observed to be significantly reduced in the ID-causing variants in our heterologous cells assay (Fig. 4a, b), supporting their pathogenic nature.

In our zebrafish nav3 knockdown model, we observed major developmental deficits, including heart malformation and microcephaly (Fig. 5b), similar to zebrafish nav3 knockouts11. We observed generalized microcephaly in nav3 morphants as well. The major brain structures morphologically impacted in nav3 morphants were (a) habenula (Hb), which contains habenular neuronal cell types (Hb01-Hb15); (b) torus longitudinal (TL); and (c) Optic tectum (OT) carry mostly granule cells with multiple neuronal subtypes, including mostly GABAergic neurons; and (d) cerebellum, which harbor Purkinje cells, eurydendroid cells, and granule cells with long axon terminals and dendrites. All these regions of brain are functionally interconnected for coordinated motor responses. Thus, reduced sizes of these major structures among nav3 morphants might impact the neuronal communication among different parts of the brain involved in motor responses. Further research in murine models with conditional deletion of Nav3 in specific brain regions would aid in determining the precise role of NAV3 in neuronal subtype proliferation, patterning, connection, and communication.

The light-based stimulation analysis shows low movements of nav3 morphants (Fig. 5i), which could be attributed to one or more of the following: (a) generalized developmental and structural abnormalities; (b) brain developmental deficits, or (c) heart deficits and yolk edema. The optic tectum is center of neurons receiving signals from the retina and torus longitudinalis for vision-based responses25, and low movement response in nav3 morphant might be due to structural or connectivity deficits in these regions of the brain. However, our light-based simulation analysis is only empirical data, and cannot be used to define cognition function. Future studies in Nav3 murine model including behavioral assays, neuronal connectivity, and physiological measurement would help in defining the precise role of NAV3 in cognitive function.

In conclusion, taken together with prior studies, biallelic and mono-allelic variants of NAV3 are responsible for a spectrum of NDDs with clinical features including ID, microcephaly, global developmental delay, or autism. Our findings further substantiate association of NAV3 variants with NDDs in humans.

Methods

Subject enrollment and clinical evaluation

Written informed consent was obtained from all individuals involved. This study adheres to the World Health Association Declaration of Helsinki and was approved by the Institutional Review/Ethic Boards of all the participating institutes. Medical and family history, developmental childhood milestones, anthropometric measurements, and findings of physical examination were collected, and detailed clinical phenotypes were described using Human Phenotype Ontology terms26. Venous blood samples were collected from research participants for DNA extraction.

Genetic analysis

Exome sequencing at various participating institutes was performed on genomic DNA extracted from blood samples of enrolled subjects. Data assembly, variant calling, and prioritization were performed as reported previously15. Additional criteria of gene function and expression associated with the central nervous system25,2732, was added in ranking the final list of candidate variants for segregation analysis.

In-silico analysis and 3D protein modeling

Wild type NAV3 amino acid sequence from Uniprot (Q8IVL0-2) was used as a reference for all in silico analyses. MTR scores and general intolerance plot of NAV3 were generated using MetaDome software33,34. For analyzing the evolutionary conservation of residues mutated in our cohort, Clustal Omega was used to align NAV3 sequences from the UniProt database35. RNA expression profile for Nav3 was analyzed using the University of California Santa Cruz (UCSC) cell browser, having data for two million cells derived from 61 embryos staged between 9.5 and 13.5 days of gestation Mouse Organogenesis Cell Atlas36,37.

For 3D protein-based structural analysis, the NAV3 sequence was submitted to the I-Tasser website38. The predicted protein model with the highest C score was further used for protein modeling to observe hydrogen bond changes and structural impacts due to conserved amino acid substitutions using PyMol along with HOPE to assess variant differences in accordance with wild-type amino acids39,40.

Expression constructs

The expression construct bio-EGFP-NAV3 for NAV3 human cDNA was generously gifted by Drs. Niels Galjart and ref. 24. Identified NAV3 variants were introduced via site-directed mutagenesis using QuikChange XL Site-Directed Mutagenesis Kit from Agilent. All the constructs made were validated using Sanger sequencing.

Immunolocalization

COS7 (African green monkey kidney fibroblast-like) cell line was used to transiently express pbio-EGFP-NAV3 WT and variants using Lipofectamine 2000 (Invitrogen Catalog no. 11668030). Cells were fixed after 24 h of transfection using 4% paraformaldehyde (PFA), followed by blocking for 1 h in 10% normal goat serum (NGS). To stain microtubules, primary acetylated tubulin mouse monoclonal antibody (1:500; Sigma Catalog no. T7451) was used along with Alexa 594 goat anti-mouse secondary antibody (1:500; Invitrogen Catalog no. A11032). DAPI (1:500) was used to label nuclei. After mounting, imaging was performed using a 60X oil immersion-based lens of a Nikon W-1 spinning disk at the iLabs core facility of the University of Maryland, Baltimore. Fiji software was utilized to process the images.

Nocodazole assay

COS7 and HEK293T cells were transfected with various GFP-NAV3 constructs for 24 h, followed by 1-h treatment with 10 μM Nocodazole (Sigma Catalog no. M1404) in Dulbeco’s Modified Eagle Medium (DMEM) media without fetal bovine serum and antibiotics. After treatment, cells were fixed using 4% PFA and blocked using 10% NGS. The primary antibodies for acetylated tubulin (Sigma Catalog no. T7451) and tyrosinated tubulin (Sigma Catalog no. MAB1864) were used to stain stable and dynamic microtubules, respectively. For secondary antibodies, Alexa flour 594 goat anti-mouse (Invitrogen Catalog no. A11032) and Alexa flour 647 goat anti-rat (Invitrogen Catalog no. A21247) were used for acetylated tubulin and tyrosinated tubulin labeling, respectively. For COS7, ~20 cells and for HEK293T, ~10 cells were imaged per condition in each experiment for quantitative analysis. Fiji was further used to process the images, and for quantification, the stable to dynamic microtubule ratio was calculated by manually tracking microtubules in each NAV3 WT and variants overexpressing cells. Paired t-test was applied to assess the microtubule stability difference among the nocodazole-treated variants and WT-transfected cells.

Morpholino-based nav3 knockdown in zebrafish

To study the in vivo impact of nav3 knockdown, we used Tg(nrd:egfp)transgenic zebrafish line. Previously reported12, ATG blocker (5′-TTGAAGCAACACCAACTACCGGCAT-3′) morpholino (ATG_MO 8 ng & 10 ng) and splice site blocking (5′-TGTATGAGCTCTCACCTATTATCTG-3′) morpholino (SS_MO 10 & 12 ng) were used for injecting 1-2 cell stage embryos. For controls, scrambled nucleotide morpholino was used (5′-CCTCTTACCTCAGTTACAATTTATA-3′). Embryos were phenotypically evaluated at the 4th day post fertilization (dpf). The head to body length ratio was measured for each larva in the mild and moderate class of controls and morphants to measure their head size. Both dorsal and lateral view images for each larva were taken using the same acquisition settings for overall brain and length measurements. Brain size for each individual larvae was measured and divided by its body length to avoid discrepancy based on the overall size of the larvae among each group. To check the splicing impact of SS_MO, injected morphants were collected to extract total RNA to form cDNA. Primers were designed from exons 1 and 4 (Forward: 5′-GTTGCTTCAAAACTCCGACAG-3′; Reverse: 5′-GAGAGCCCTTGAACACTGACA-3′) to determine its effect on exon skipping or intron retention.

Further, to assess neuronal pattern, embryos at 4th dpf were treated with 1-Phenyl-2-thiourea (PTU) 0.2 mM (TCI Catalog no. P0237), fixed in 4% PFA overnight at 4 °C and mounted in 1% low melting agarose (NuSieve Catalog no. 50080). Confocal imaging was performed using Nikon spinning disk W1 with a 20X lens and the same acquisition settings for pinhole, exposure, and gain. The images are further processed through Fiji software to develop 3D structure using maximum intensity. The represented images in Fig. 5g are dorsal snapshots of 3D developed images. Student t-test was used to evaluate differences in various groups.

Behavioral assessment of zebrafish morphants using light as a stimulus

At 5th dpf, each embryo activity was measured by distance traveled after light stimulus using ZebraLabs System. For this assay, each larva was singly housed in 48 well plates in 400 μl E3 medium an hour before the experiment for acclimation. The embryos were then subjected to 5 min in the dark, followed by 5 min in the light as an abrupt stimulus. The sensitivity threshold was set to 20 with the maximum burst threshold of 50. The average distance traveled by each larva in 10 min was plotted on a violin graph. The difference in activity of all groups was assessed using the Paired t-test.

Phenotypic rescue studies in zebrafish morphants using human full length NAV3 mRNAs

For rescue and functional analysis of ID-associated variants in zebrafish morphants, we cloned NAV3WT cDNA in the pT7TS vector after linearizing the vector with the BGI II restriction enzyme. Site directed mutagenesis using WT construct as a template was performed to introduce NAV3 variants found in our cohort. After confirming through Sanger sequencing, NAV3 constructs were linearized using NDEIrestriction enzyme, and mRNAs were synthesized using the HiScribe T7 Quick RNA synthesis kit (New England Biolabs Catalog no. E2050S). A dosage response was performed to optimize the mRNA dose using the NAV3WT mRNA at 250 pg, 500 pg, 750 pg, and 1 ng co-injected with 8 ng ATG_MO, and subsequent studies used 500 pg of NAV3WT and variants harboring mRNAs co-injected with ATG_MO for rescue studies in zebrafish larvae.

Supplementary information

Peer Review File (3.2MB, pdf)
Supplementary Information (164.4KB, pdf)
42003_2024_6466_MOESM3_ESM.pdf (38.1KB, pdf)

Description of Additional Supplementary Files

Supplementary Data 1 (39.4KB, xlsx)

Acknowledgements

We would like to thank families and enrolled subjects for their participation in the study. We would also like to thank Dr. Asma. A. Khan, Asaad Usmani, Sehar Riaz, Sakina Rehman, and Amna A. Zaib for helpful discussion and technical support, and Dr. Joseph Mauban and Confocal Core Facility, University of Maryland, Baltimore for their guidance and technical assistance. For the PE30 family, the exome was done by Norwegian High-Throughput Sequencing Centre, supported by the “Functional Genomics” and “Infrastructure” programs of the Research Council of Norway and the Southeastern Regional Health Authorities. We would also like to thank UNINETT Sigma2 for data analysis and storage. This work was supported in part by R01NS107428 (S.R.) from NINDS/NIH and The Norwegian National Advisory Unit on Rare Disorders. M.Z. receives research support from the German Research Foundation (DFG 458949627; ZE 1213/2-1). M.Z. acknowledges grant support by the EJP RD (EJP RD Joint Transnational Call 2022), the German Federal Ministry of Education and Research (BMBF, Bonn, Germany), awarded to the project PreDYT (PREdictive biomarkers in DYsTonia, 01GM2302), by the Federal Ministry of Education and Research (BMBF) and the Free State of Bavaria under the Excellence Strategy of the Federal Government and the Länder, as well as by the Technical University of Munich—Institute for Advanced Study. The work was also supported by the National Institute for Neurological Research, Czech Republic, Programme EXCELES, ID Project No. LX22NPO5107, funded by the European Union—Next Generation EU and also by the Charles University: Cooperation Program in Neuroscience.

Author contributions

Sh.R. and S.R. designed and organized the study. A.G. and T.A. collated and composed sections describing human clinical data, generated constructs, performed in vitro and zebrafish-related studies. T.A. generated the mutant constructs. and analyzed zebrafish-related data and edited figures; A.G., Z.M.A., and S.R. composed the core manuscript. Sh.R., Z.M.A., and S.R. supervised and validated data and reviewed and edited the manuscript. P.S., D.M., A.K., E.F., M.U., B.I., B.C., A.L.B., A.S., A.A.K., P.K., C.C., A.M.I., M.Z., M.B., P.H. R.J., all contributed clinical patient information. All authors read and provide comments to the final manuscript and approved the submission.

Peer review

Peer review information

Communications Biology thanks Achira Roy, Amrutha Swaminathan, and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Primary Handling Editors: Pavithra Lakshminarasimhan Chavali and Joao Valente. A peer review file is available.

Data availability

All data is mentioned in the main text and Supplementary Figures. All the source data is given in the Supplementary Data 1 file, available to readers.

Competing interests

The authors declare no competing interests.

Ethics

Written informed consent, including specific consent to use photographs, was obtained for all individuals involved. This study adheres to the World Health Association Declaration of Helsinki and was approved by the Institutional Review/Ethic Boards of all the participating institutes. All zebrafish-related experiments were conducted in accordance with recommendations of the Guide for the Care and Use of Laboratory Animals of the University of Maryland Baltimore, protocol 0420002.

Footnotes

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

These authors contributed equally: Amama Ghaffar, Tehmeena Akhter.

Supplementary information

The online version contains supplementary material available at 10.1038/s42003-024-06466-1.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Peer Review File (3.2MB, pdf)
Supplementary Information (164.4KB, pdf)
42003_2024_6466_MOESM3_ESM.pdf (38.1KB, pdf)

Description of Additional Supplementary Files

Supplementary Data 1 (39.4KB, xlsx)

Data Availability Statement

All data is mentioned in the main text and Supplementary Figures. All the source data is given in the Supplementary Data 1 file, available to readers.


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