Abstract
Heterozygous, pathogenic CUX1 variants are associated with global developmental delay or intellectual disability. This study delineates the clinical presentation in an extended cohort and investigates the molecular mechanism underlying the disorder in a Cux1+/− mouse model. Through international collaboration, we assembled the phenotypic and molecular information for 34 individuals (23 unpublished individuals). We analyze brain CUX1 expression and susceptibility to epilepsy in Cux1+/− mice. We describe 34 individuals, from which 30 were unrelated, with 26 different null and four missense variants. The leading symptoms were mild to moderate delayed speech and motor development and borderline to moderate intellectual disability. Additional symptoms were muscular hypotonia, seizures, joint laxity, and abnormalities of the forehead. In Cux1+/− mice, we found delayed growth, histologically normal brains, and increased susceptibility to seizures. In Cux1+/− brains, the expression of Cux1 transcripts was half of WT animals. Expression of CUX1 proteins was reduced, although in early postnatal animals significantly more than in adults. In summary, disease-causing CUX1 variants result in a non-syndromic phenotype of developmental delay and intellectual disability. In some individuals, this phenotype ameliorates with age, resulting in a clinical catch-up and normal IQ in adulthood. The post-transcriptional balance of CUX1 expression in the heterozygous brain at late developmental stages appears important for this favorable clinical course.
Subject terms: Neurodevelopmental disorders, Epilepsy
Introduction
CUX1 is a conserved mammalian homolog of Drosophila melanogaster Cut that encodes for two types of proteins through alternative splicing: cut-like homeobox 1 (CUX1) and cut alternately spliced protein (CASP) [1]. CUX1 isoforms are transcription factors, whereas CASP are Golgi proteins that share with CUX1 the N-terminal region but not the DNA binding motifs [2]. CUX1 proteins comprise long and short isoforms. The full-length p200 isoform contains four DNA binding motifs, three CUT repeats, and a homeodomain. It is proteolytically cleavaged into two shorter isoforms during the cell cycle. Additionally, alternative splicing generates several other shorter CUX1 isoforms [1]. p200 CUX1 acts as a transcriptional repressor, whereas short CUX1 isoforms can activate or suppress transcription [1, 3].
In mammals, many tissues express CUX1/Cux1, including the developing and mature central nervous system [4]. In the human brain, most pyramidal neurons in layers (L) 2–5 of the cortex and some subpopulations of hippocampal neurons express CUX1 [5, 6]. CUX1 active enhancers contain human accelerated regions. These are regions conserved across most mammals but highly divergent in humans that might have contributed to acquiring human traits such as cognition during evolution [7]. In agreement, variants in the CUX1-HAR region link to autism spectrum disorder (ASD) [7, 8]. In mice, CUX1 expression also defines mature and young pyramidal neurons of L2/3 and L4 (known as the upper layers), regulating the formation of dendritic arbors and callosal connections during development [9–11].
While all of the above support crucial roles of CUX1/Cux1 in human neurodevelopment, these are only partially understood. Most known CUX1 functions derive from studies on cancer cells, where the gene can act as an oncogene or a haploinsufficient tumor suppressor gene [12]. Studies in mice have struggled with the lethality of Cux1 null variants. Homozygous knockout mutants (Cux1−/−) died shortly after birth due to underdeveloped lungs and respiratory failure [13], and only in outbred genetic backgrounds some mice survived to adulthood. These animals showed delayed growth and abnormal hair but no gross neurological symptoms [8]. Cux1 heterozygous (Cux1+/−) animals are fertile and display no obvious phenotypes, but an in-depth analysis of the consequence of heterozygosis has never been pursued [13].
We previously reported nine individuals with heterozygous truncating variants in CUX1. All individuals had speech delay and most individuals exhibited motor delay and intellectual disability (ID). Furthermore, some individuals seemed to catch-up on their speech and motor development [14]. Notably, this study did not address the mechanisms underlying the haploinsufficiency of CUX1 in neurodevelopment.
Here, we review 11 previously [14–16] reported and 23 unpublished individuals with rare heterozygous CUX1 variants, refining the associated clinical phenotype. Furthermore, we investigated Cux1 expression and the phenotype of Cux1+/− mice pertinent to the clinical phenotype of the individuals.
Material and methods
Study subjects
Through matchmaking and collaborative efforts [17, 18], we identified 23 previously unreported individuals with CUX1 variants. Phenotype and genotype information was obtained from the referring physicians via a standardized questionnaire, together with brain MRI images. The description of the severity of the developmental delay and ID is based on IQ tests (based on the experience of each center, some tests are suitable for individuals younger than 6 years of age) and, if these were not available or not possible, on an age-appropriate assessment by the attending physician. Variants were identified using trio/single exome or genome sequencing, or chromosome microarray. When needed, we performed a segregation analysis using Sanger sequencing. We also included the information of eleven previously published individuals harboring heterozygous truncating or de novo missense CUX1 variants [14–16]. For individual 25 we have collected further information. If not described otherwise, frequencies of clinical symptoms are described as the number of affected vs. assessed individuals. Variants were mapped to CUX1 (NM_001202543.2) and CASP (NM_001913.4) GRCh37. We used the in silico scores CADD [19], REVEL [20] an MutPred2 [21] to predict the impact of the missense variants and gnomAD [22] to analyze the allel frequencies of variants in the general population. All variants are classified according the ACMG [23] guidelines.
Facial analysis
We performed the GestaltMatcher approach [24] on CUX1 individuals to analyze the facial similarities among the nine individuals (Ind. 6, 7, 8, 9, 14, 18, 19, 25, and 28) who consented to the facial analysis (see Supplementary Materials for details).
Animals
We obtained Cux1+/− (Cutl1tm2Ejn) mice from A.J. van Wijnen (University of Massachusetts Medical School, Worcester, MA)[13] and maintained in a C57BL6JRccHsd background (Envigo Laboratories, formerly Harlan. Indianapolis, USA). We used WT, Cux1+/−, and Cux1−/− littermates in all experiments. The day of appearance of a vaginal plug was defined as E0 and the day of birth, postnatal day 0 (P0). Animals were housed and maintained following the European Union Council Directive (86/609/European Economic Community).
Western blotting
We analyzed the Cux1 p200 isoform expression in somatosensory cortex of WT, Cux1+/− and Cux1−/− mice via Western blot by using antibodies against CUX1 (Proteintech, 11733-1-AP; see Supplementary Materials for details).
RT-qPCR analysis
Tissue dissection was performed as described above. cDNA synthesis and qPCR reactions were performed as previously described [11, 25] (see Supplementary Materials for details).
Immunohistochemistry and Nissl staining
Mice were anesthetized using an intraperitoneal (i.p.) injection of ketamine and xylazine and perfused with formalin (Sigma). Brains were postfixed in formalin, cryoprotected in 30% sucrose, and cut in 50 µm free-floating cryosections. Sections were incubated with rabbit anti-Cux1 antibody (Santa Cruz Biotechnology, M222X), goat anti-rabbit Alexa 488 (Thermo Fisher Scientific, #A11034), and 4',6-diamidino-2-phenylindole dihydrochloride (DAPI) (Merck, #D9542). Nissl staining was performed as previously described [26].
Confocal imaging, microscopy, and quantification
Images were taken using a Leica DM4B (Leica) with a 2.5X objective and LAS AF v1.8 software (Leica; see Supplementary Materials for details).
Kainic acid model of epilepsy
10–13 week old mice were intraperitoneal injected with kainate (30 mg/kg of body weight) (Milestone PharmTech USA), and they were monitored for 120 min by video recording. We used a modified version of the Racine scale to score behavioral alterations [27]: 1-immobility, staring; 2-rigidity and automatisms; 3-unilateral forelimb clonus, forepaws on the belly; 4-rearing; 5-continuous rearing and falling; 6-total body clonus. Stages 1 and 2 were considered non-convulsive seizures, while stages 3–6 represented convulsive seizures. The maximum score of each animal and the latency to onset of stage 3 were quantified.
Statistical analysis
Each experimental condition includes a minimum of three (RT-qPCR, immunostainings, and western blot) or ten (seizure induction) biological replicates. Results are expressed as the mean ± standard error of the mean (SEM) and compared using student t test, Mann-Whitney test, or ANOVA with posthoc comparison Sidak’s and Tukey’s test, as indicated in the corresponding figures, using GraphPad Prism v8 software.
Results
In this study, we include 23 novel and 11 previously published individuals [14–16], from which 30 were unrelated, diagnosed with heterozygous variants in CUX1. The cohort compromises of nine females and 25 males with a median age of 7 years (ranging from 7 months to 78 years). Table 1 summarises the clinical symptoms and Table S1 provides detailed clinical descriptions.
Table 1.
Phenotype | HPO | missense | null variant | total | |||
---|---|---|---|---|---|---|---|
n = 4 | in % | n = 29 | in % | n = 34 | in % | ||
Intellectual and social development | |||||||
Intellectual disability/Developmental Delay | 3/3 | 100% | 30/30 | 100% | 33/33 | 100% | |
Delayed speech and language development | HP:0000750 | 3/3 | 100% | 28/29 | 97% | 31/32 | 97% |
unremarkable speech at last exam | 0/3 | 0% | 10/24 | 42% | 10/27 | 37% | |
motor delay | HP:0001270 | 1/2 | 50% | 23/30 | 77% | 24/32 | 75% |
no persistent motor problems after motor delay | 0/1 | 0% | 10/22 | 45% | 10/23 | 43% | |
Intellectual disability | HP:0001249 | 2/2 | 100% | 19/25 | 76% | 21/27 | 78% |
Intellectual disability, borderline | HP:0006889 | 0/2 | 0% | 4/25 | 16% | 4/27 | 15% |
Intellectual disability, mild | HP:0001256 | 0/2 | 0% | 8/25 | 32% | 8/27 | 30% |
Intellectual disability, moderate | HP:0002342 | 0/2 | 0% | 7/25 | 28% | 7/27 | 26% |
Intellectual disability, severe | HP:0010864 | 2/2 | 100% | 0/25 | 0% | 2/27 | 7% |
Autism spectrum disorder | HP:0000729 | 2/2 | 100% | 4/24 | 17% | 6/26 | 23% |
Neurological and central nervous system | |||||||
Hypotonia | HP:0001252 | 1/2 | 50% | 12/29 | 41% | 13/31 | 42% |
Seizure | HP:0001250 | 3/3 | 100% | 5/29 | 18% | 8/32 | 25% |
Abnormality of movement | HP:0100022 | 1/2 | 50% | 6/21 | 29% | 7/23 | 30% |
MRI abnormalities | HP:0012443 | 2/3 | 67% | 10/17 | 59% | 12/20 | 60% |
Phenotypical abnormalities of body and face | |||||||
Broad forehead | HP:0000337 | 1/3 | 33% | 7/23 | 30% | 8/26 | 31% |
Frontal bossing | HP:0002007 | 1/3 | 33% | 3/23 | 13% | 4/26 | 15% |
Retrognathia | HP:0000278 | 0/3 | 0% | 3/18 | 17% | 3/21 | 14% |
Macrocephaly | HP:0000256 | 0/3 | 0% | 4/23 | 17% | 4/26 | 15% |
Low-set ears | HP:0000369 | 2/3 | 67% | 5/22 | 23% | 7/25 | 28% |
Abnormality of the cardiovascular system | HP:0001626 | 1/3 | 33% | 10/23 | 43% | 11/26 | 42% |
Joint laxity | HP:0001388 | 1/3 | 33% | 7/17 | 41% | 8/20 | 40% |
Short stature | HP:0004322 | 0/3 | 0% | 6/25 | 24% | 6/28 | 21% |
Abnormality of the male genitalia | HP:0010461 | 1/3 | 33% | 9/13 | 69% | 10/16 | 63% |
Phenotypic spectrum of the affected individuals—Intellectual and social development
All but one individual presented with delayed speech development (31/32, 97%). Individuals 4 and 21 initially presented with a disorder of motor development. Amongst individuals 6 years or older, formal IQ testing was available in ten Individuals. Suitable tests were provided for two individuals. If no formal test was available, the attending physician assessed the severity in an age-appropriate manner. ID was stratified as borderline (4/27, 15%), mild (8/27, 30%), moderate (7/27, 26%) and severe (2/27, 7%). Six individuals had an IQ in the normal range (6/27, 22%). Most individuals showed delayed motor development (24/32, 75%). The median age for walking was 20 months, and the medianfor first speech was 22.5 months. Six individuals were diagnosed with ASD (6/26, 23%).
We had previously noted that three individuals with a CUX1 null variant caught up on developmental milestones [14]. Now, including the individuals presented in this study, developmental catch-up was observed in seven individuals (7/18, 39% from which this information was assessable; total 21%). Specifically, individual 6 presented speech and motor delay with first words occurring within 12–42 months and walking at 36 months of life. When he enrolled in a mainstream school, speech was comparable to children of the same age (developmental catch-up between 3 and 5 years of age). He received support throughout his school years in concordance with his lower IQ. At the age of 21 years, he had normal speech, borderline ID and was diagnosed with ASD. At age 36 months, individual 25 presented with significantly delayed speech (spoke 5–10 words) and motor development, muscular hypotonia, and macrocephaly. He could speak in 2–3 word sentences at 42 months, with further speech improvements at 4.5 years of age. At 5 years of age, the speech was comparable to children of the same age. However, due to muscular hypotonia motor development was still markedly delayed. At the age of seven, the individual enrolled in a mainstream school, albeit with integration aids for motor difficulties. Formal testing revealed an IQ of 90. At age nine, he was able to participate fully in school sports. The other six individuals presented variable delay of speech development in their earlier examinations, reporting first words within 12–42 months of age. However, they had normal speech or IQ at their last exams, performed at ages ranging from 8 to 55 years. These individuals were cognitively less affected (five individuals with normal IQ and three with borderline cognition) compared to individuals without catch-up development (two individuals with normal IQ, one with borderline, eight with mild, seven with moderate, and two with severe intellectual disability).
Abnormalities of the nervous system
Muscular hypotonia was the most common neurological finding in the present cohort (13/31, 42%; median age of affected individuals: 5.3 years, ranged from 2 to 19 years). Seven individuals had mild cerebellar symptoms, including ataxia (7/23, 30%; median age of affected individuals: 6.6 years, ranged from 0.6 to 78 years), and eight individuals (8/32, 25%) developed seizures. The mean onset of seizures was 3 years and ranged between 1 and 6 years of age, with variable seizure types (including tonic-clonic and myoclonic seizures). All but two individuals became seizure-free (between 17 months and 22 years of age). Unfortunately, no further details regarding epilepsy type or EEG are available for the affected individuals. We could not observe a correlation between seizures and the severity of ID. Eight of the 20 individuals with available brain MRI imaging (performed and interpreted by each center) had no abnormalities. In the other 12 individuals, non-recurrent changes, such as a slightly prominent fourth ventricle, Chiari malformation, and white matter T2 hyperintensities, were observed (12/20, 60%; total 35%).
Additional symptoms
Six individuals exhibited short stature (6/28, 21%), and eight showed joint laxity (8/20, 40%; total 23%). Abnormalities of the cardiovascular system, including persistent ductus arteriosus, atrial septal defect, and ventricular septal defect, were observed in eleven individuals (11/26, 42%; total 32%). Additional findings include mild scoliosis (3/21, 14%; total 9%) and genital malformations such as hypospadia, micropenis, and bilateral testicular ectopia in ten males (10/16, 63%; total 40%). The examined individuals had no apparent shared facial gestalt (Fig. S1). However, ten individuals displayed abnormalities in calvarial morphology, including macrocephaly, brachycephaly, plagiocephaly, and dolichocephaly. Eight individuals had a broad forehead (8/26, 31%), and four displayed frontal bossing (4/26, 15%). Seven individuals had low-set ears (7/25, 28%), and three had retrognathia (3/21, 14%). The physican’s examination was also consistent with the facial analysis performed by GestaltMatcher [24]. Although only nine individuals consented for a facial analysis, they might share a similar facial phenotype on the cohort level, as 78% of the distribution is below the threshold (Fig. S2). In the pairwise analysis (Fig. S3), it was clear that individuals 8, 9, 14, 18, and 19 formed one cluster, and individuals 6, 7, 25, and 28 were not in the cluster. The results suggested that CUX1 individuals might share a certain degree of similarity, but some individuals presented heterogenous facial phenotypes.
We also identified two individuals with a de novo missense variant in CUX1 that affects only the transcript encoding CASP but not CUX1 (Table S1, Fig. 1). The first individual (CASP_1:c.1820T > C, p.(Met607Thr)), had congenital glaucoma and short stature but no neurological symptoms. In contrast, a second individual (CASP_2:c.1570C > T, p.(Arg524Cys)) had severe global developmental delay, hypotonia, and seizures. It is yet unclear whether these variants are causative and whether variants in CASP are associated with another distinct disorder. Therefore, we did not include these individuals in the phenotypic description of the present cohort. In addition, we gathered information on two neonates with a de novo heterozygous null variant in CUX1. However, for the phenotypic characterization, we included only postnatal individuals.
CUX1 genotypic spectrum
In 30 individuals, we identified a heterozygous CUX1 null variant: two splice-site variants, three gross deletions, one inversion, one translocation, eight nonsense, and 15 frameshift variants. Four individuals harbor heterozygous missense variants (Fig. 1). All variants were absent in gnomAD, except the variant c.2398del. Of the 29 individuals for whom we were able to conduct a segregation analysis, 22 had de novo variants, while seven inherited the variant from a milder affected parent (Table S1). All but four truncating variants will likely result in nonsense-mediated mRNA decay (NMD). The variant c.61C > T will likely escape NMD as it creates a stop codon within the first protein-coding 100 nucleotides [28]. As the next in-frame AUG codon is 195, possibly a shortened abnormal CUX1 will be translated. The variants c.3819delG causes a frameshift that affects the CUT homeobox, truncates the C-terminal end of CUX1, and leads to escape of NMD, as confirmed by mRNA analysis (Fig. S4). The variants c.4321dup and c.4440_4447del (individuals 28 and 29, respectively) cause a frameshift predicted to result in CUX1 elongation with an abnormal C-terminal end, which possibly leads to the escape of NMD. Notably, the C-terminal region of CUX1 has a regulatory function over the transcriptional activity of the p200 protein, and Caspase-L protease can cut it during the cell cycle. This cleavage increases the transcriptional activity of the CUX1 p200 protein [29]. Hence, the variants of individuals 1, 26, 28, and 29 could lead to proteins with altered transcriptional activity compared to WT CUX1. Individual 34 had an inversion with breakpoints within intron 20 and the 3’UTR of exon 24. Although it is unclear whether this variant leads to NMD, this allele likely causes impaired CUX1 activity.
Regarding the missense variants, three of these affect highly conserved amino acid residues. However, in silico predicting programs render only slightly increased scores. Furthermore, the de novo missense variant c.4064C > T (p.(Thr1355Ile)) affects a weakly conserved residue predicted to be benign by several in silico prediction programs (Table S2).
Analysis of Cux1 heterozygous mice
To investigate the underlying mechanisms of the Cux1 haploinsufficiency, we characterized a previously described mouse line that carries a truncating deletion in the homeodomain of Cux1. Although there were no previously reported alterations in the development of these heterozygous animals [13], we observed a slight reduction of early postnatal growth (Fig. S5A). Histological analysis of brain structures revealed no differences between Cux1+/− and WT animals (Fig. S5B).
We next quantified Cux1 transcripts in WT and Cux1+/− mouse cortices using RT-qPCR. This analysis evaluated the expression only of the WT isoforms and not the mutant transcripts (see Fig. 2A, B). As the clinical course of individuals suggests different impacts of heterozygosity at distinct developmental stages, we analyzed transcripts in the cortex of both young postnatal (P10) and mature (P30) animals. Cux1 transcripts were reduced to half the levels of WT, both in P10 and P30 Cux1+/−cortices (Fig. 2C). As expected, as Cux1 null alleles affect exons not present in CASP, we found no changes in the expression of CASP transcripts (Fig. 2D). This indicates that the expression of the WT allele is not upregulated to compensate for the null allele in Cux1+/− mice.
To investigate CUX1 expression in the cortex of heterozygous mice, we immunostained brain coronal sections of P10 and P30 animals and quantified CUX1 levels in several cortical areas and layers, using an antibody against the C-terminal region of CUX1 but not CASP (Fig. 3). We observed a significant reduction of CUX1 immunoreactivity in P10 Cux1+/− mice compared to WT animals, especially in L4 neurons (Fig. 3C, D). In contrast, there was no significant difference of CUX1 immunoreactivity in P30 brains (Fig. 3E, F).
As different CUX1 isoforms show different transcriptional activity [1, 4], we analyzed protein expression using western blot. Of note, the antibody used for immunofluorescence is unfortunately unsuitable for western blot. The available antibody for immunoblotting recognizes the common N-terminal region included in p200 CUX1 and CASP but not the shorter CUX1 isoforms. This analysis demonstrated a significant reduction in the expression of p200 CUX1 in Cux1+/− mice compared to WT at all tested ages (Fig. 3G, H). The blots also confirmed that CASP expression is unaffected in Cux1+/− mice (Fig. 3G). As control of antibody specificity, we confirmed the absence of the p200 CUX1 band in lysates from E18 Cux1−/− embryos. In both Cux1−/− and Cux1+/− cortices, we also detected low levels of the mutant truncated CUX1 reported in previous studies [13] (Fig. 3G).
Thus, western blots showed equal reductions of p200 CUX1 expression at all ages. At the same time, immunofluorescence indicated a more significant deficiency of total CUX1 during development than in adulthood. These observations suggest that the lower immunofluorescence reductions in adults are likely due to immunoreactivity from short CUX1 isoforms. As P10 and P30 Cux1+/− mice show decreases in all transcripts, it is conceivable that post-transcriptional mechanisms balance the amount of shorter CUX1 isoforms in older animals by proteolysis of p200 CUX1.
Finally, as eight individuals in the cohort had seizures, we analyzed the susceptibility of Cux1+/− mice to seizures upon administration of kainic acid (Fig. 4A). Only Cux1+/− and not WT animals developed severe attacks (Fig. 4B). There was, however, no difference in latency to the intermediate epileptic stage R3 (Fig. 4C). Thus, correlating with clinical findings, Cux1+/− mice demonstrated increased epileptic susceptibility compared to WT.
Discussion
In the present study, we describe 34 individuals with CUX1 variants showing haploinsufficiency and refine the phenotypic spectrum of the CUX1-related neurodevelopmental disorder (NDD), including 11 previously published individuals [14–16]. Disease-causing variants in CUX1 lead to a non-specific phenotype with mild to moderate developmental delay/ID with possible developmental catch-up. 31 and 24 out of 32 assessable individuals presented with speech and motor delay, respectively. Among the individuals for whom information was available (n = 27), 21 exhibited a variable degree of ID, and 13 out of 31 and 8 out of 32 assessable individuals presented with hypotonia or seizures, respectively. Intrafamilial variations were observed in three out of six families (individuals 6, 7, 18, 19, 20 and 22 were comparable affected; Table S1). Generally, in these families, a null variant was transmitted from mildly affected parents to children with mild to moderate ID. Given that null variants follow a comparable pathomechanism, we also observed intrafamilial variations. In 23 families with null variants, ranged the degree of cognitive impairment from learning difficulties to moderate ID (Table 1, and Table S1). We observed additional non-neurological symptoms, such as joint laxity and short stature (Table 1). We were unable to identify any recurring specific facial dysmorphic features but the facial analysis showed a significant similarity between individuals 6, 7, 25 and 28 (Fig. S3). Although speculative, it is possible that a combination of multiple minor facial features resulted in a match of these individuals. This question can only be answered by analysing a large number of images of affected individuals using approaches such as GestaltMatcher [24]. Furthermore, our results with the mouse model demonstrate a reduction of Cux1/CUX1 expression in heterozygotes and support a causative link between disease-causing CUX1 variants and epilepsy.
The present study confirms that null variants in CUX1 are a cause for NDD. Moreover, we also provide evidence for missense variants to be causative, as we described four individuals with de novo missense variants in CUX1 (Fig. 1). CUX1 is intolerant to missense variation, as significantly fewer germline missense variants of CUX1 are detected in healthy controls in gnomAD than expected (z-score for missense variants = 3.75 [22]). Remarkably, the missense variant (p.(Arg265Ser)) of individual 5 has also been reported as de novo in an individual with NDD (DDD study [30]), but we could not obtain a detailed clinical description of this individual. Structural modeling of the missense variants was not possible due to the lack of an available protein model fitting the CUX1 isoform (encoded by NM_001202543.2). CUX1 exhibits high sequence conservation with CUX2, another member of the same family of homeodomain transcription factors. Like CUX1, CUX2 is highly expressed in the cerebral cortex, and both are involved in the dendritic development of L2/3 neurons [9, 31]. A recurrent de novo missense variant within the first CUT repeat of CUX2 causes CUX2-related epileptic encephalopathy [32]. Recent reports found other CUX2 missense variants as genetic contributors to kainic acid-induced epilepsy [33]. Although the number of individuals with missense variants is very low, it is striking that all of them had seizures (Table 1). Moreover, our mouse studies suggested that epilepsy is part of CUX1-related NDD, thus supporting the notion that missense variants in CUX1 could indeed be causative. Nevertheless, further studies are needed to clarify whether missense variants cause CUX1-related NDD.
CUX1 encodes two alternative splicing proteins, CASP and CUX1. In contrast to CUX1, CASP contains no DNA binding domains and is presumed to be involved in the transport of Golgi enzymes [34]. In the present cohort, individuals 1–9 and 29–32 harbor variants that affected shared CASP and CUX1 exons, while the variants of individuals 10–28 and 33 involved only exons encoding for CUX1 (Fig. 1). Interestingly, the proportion of individuals affected by motor developmental delay was higher in those who harbored a CUX1 variant that affected both proteins (12/13, 92%) compared to individuals with a variant that affected only CUX1 (14/20, 70%). Therefore, it is both possible that CASP contributes to the regulation of neuronal development or disruption of CASP-specific exons alters the expression of CUX1 [35]. Notewothly, there is an increased density of truncating variants in the general population (gnomAD) in the CASP-specific C-terminal region (Fig. 1). As we collected individuals with a variant that affects only CASP and observed a phenotype different from the present cohort, future studies are needed to clarify the involvement of CASP variants.
Although most individuals in the current study had mild to moderate developmental delay/ID, we also identified two neonates with a severe phenotype. Individuals F1 and F2 died shortly after birth in the context of status epilepticus and refractory respiratory disorder, respectively. In both individuals, we found a de novo frameshift variant in CUX1 (Table S1). Based on the phenotypic-genotypic spectrum described in this study, it remains uncertain whether these de novo variants alone are causative. However, as Cux1-/- mice died shortly after birth, we cannot exclude a second undetected variant in trans or a hypomorphic allele in these individuals, resulting in a complete loss of CUX1 function.
Haploinsufficiency appears in genes that cannot fulfill their function with half the dose and whose expression cannot be homeostatically regulated by increasing transcription or reducing protein elimination [36]. On the other hand, in some cases, mutant proteins can act as dominant-negative factors in heterozygous and produce adverse phenotypes [37]. Overall, our data in Cux1+/− mice supports that the deficit in CUX1 proteins is a primary cause of cognitive disabilities in affected individuals. However, we found low but detectable levels of the truncated protein in heterozygous mice (Fig. 3G). Therefore, we cannot rule out that mutant proteins contribute to abnormal phenotypes in mice and humans.
Noteworthy, the reduction in the p200 CUX1 isoform is higher than the 50% decrease expected in a heterozygous. Mechanistically, perhaps this reduction results from abnormal activation of the proteolytic cleavage of p200 described in proliferating cells [1], to compensate for the loss of shorter isoforms. On the other hand, the deficits in CUX1 expression in young Cux1+/− L4 neurons, which upregulate CUX1 expression upon sensory experience [25, 38], and the epileptic phenotype in adults, suggest that heterozygosis compromises the upregulation of CUX1 that takes place during activity-dependent responses. However, confirming this hypothesis requires further investigation and needs to be addressed in an independent study.
Finally, another notable observation is the minor differences in total CUX1 expression between P30 Cux1+/− and WT mice compared to the differences in P10 animals. This observation opens possible speculations on the disease mechanism, considering the developmental catch-up observed in seven individuals. We do not have a record of the disease trajectory of these individuals, but their cognitive functions were less affected than the others without catch-up (Table S1). Although one would expect null variants in CUX1 to be more common in the general population due to a variable expressivity or developmental catch-up, respectively, none of the variants occur in gnomAD, except for variant c.2398del (p.(Gln800Argfs*19)). To our knowledge, such a developmental catch-up is rarely seen in NDD individuals, but as genetic testing increasingly includes individuals with mild symptoms, such phenotypes may become more evident.
The limitations of this study are the unavailability of comprehensive phenotypic information for each individual, including IQ scores and clinical follow-up information.
In conclusion, we describe 34 individuals with potential causative variants in CUX1 and delineate the underlying neurodevelopmental disorder. Most individuals had developmental delay and ID, and some of them confirmed the previously reported unusual developmental delay. Hypotonia and, to a lesser extent, seizures are part of the phenotypic spectrum. While truncating variants made up the bulk of underlying causal variants, our data suggest that rare de novo missense variants could also lead to CUX1-related NDD. Furthermore, our studies in mice indicate that CUX1-related NDD is due to insufficient production of CUX1 transcripts and that at the protein level, neurons of mature brains partly compensate for this reduction, which could sustain the possible amelioration of IQ reduction in affected human adults.
Supplementary information
Acknowledgements
The authors thank the families for their support and consent to the study. We thank Annabel Cobb for proofreading.
Author contributions
HO, EM-G, ZT, MN, KP, JRL and RAJ contributed to the concept and design and coordinated the study. Data curation and genetic analysis were performed by SWS, CB-A, MH, ATP, MP, MR, JL, IK, EVS, MI, SB-W, DP, IA, JV and CRF. Clinical investigations were performed by CAG, AJ, SM, SS, ZF, RM, DM, SHV, PF, FL, SP, JK, JR, LR, CRF, LKH, AK, NN, AG, JT, PZ, DW, DP, IA, ARJ and GR. Mouse experiments were performed by EM-G and LAW. Facial analysis was performed by HL, HK, PMK and TCH. MN, EM-G, LAW and HO contributed to the acquisition, interpretation, statistical analysis and visualization of the results. The original draft was written by HO, EM-G, LAW, ZT, MN and KP and all authors critically revised the manuscript and ensured the final approval of the manuscript for publication.
Funding
CAG was supported by the Eunice Kennedy Shriver National Institute Of Child Health & Human Development of the National Institutes of Health under Award Number P50 HD103525. This work was funded by PID2020-112831GB-I00 AEI /10.13039/501100011033 (MN). SS was supported by a grant from the NIH/NINDS (K23NS119666). SWS is supported by the Hospital for Sick Children Foundation, Autism Speaks, and the University of Toronto McLaughlin Center. EM-G was supported by a grant from MICIU FPU18/06240. EVS. was supported by a grant from the NIH (EY025718). CRF was supported by the fund to support clinical research careers in the Region of Southern Denmark (Region Syddanmarks pulje for kliniske forskerkarriereforløb). Open Access funding enabled and organized by Projekt DEAL.
Data availability
All data concerning this work is included in the manuscript and its supplement. Genetic variants reported in this study have been submitted to ClinVar or DECIPHER and they can be accessed using the URL https://www.ncbi.nlm.nih.gov/clinvar/ (Individual ID: SCV001335372.1; SCV001431662.1; SCV002764608; SCV002764609; SCV002764610; SCV002764611; SCV002764612; SCV002764613; SCV002764614; SCV001572223.1; SCV001335373.1; SCV001335390.1; SCV002764615; SCV002764616; SCV001335391.1; SCV002764617; SCV002764618; SCV002764619; SCV001335392.1; SCV002764620; SCV002764621; SCV002764622; SCV002764623; SCV001523945.1) and https://www.deciphergenomics.org/ (Individual ID: 401777; 387322; 503181; 338131; 322029; 503182; 503183; 503185; 503186).
Competing interests
SWS is a scientific consultant for Population Bio and the King Abdullaziz University, and intellectual property held in his name by the Hospital for Sick Children is licensed to Athena Diagnostics. There is no conflicted of interest for all other authors.
Ethics approval
All experiments complied with ethical animal testing and research regulations and European Commission guidelines (2010/63/E.U.) and were approved by the CSIC and the Community of Madrid Ethics Committees on Animal Experimentation (PROEX 395/15, 236.7/20). This study was approved by the ethics committees of the University of Leipzig (402/16-ek), Cambridge South REC (14/EE/1112), JKU Linz (ECS 1253/2021). When carried out in a research setting, testing was approved by the ethics committees of the respective centers. Research data from additional contributing centers are covered by their own Research Ethics protocols and boards. For some individuals, genetic testing was carried out as part of routine clinical care. Institutional ethics approval was not required. All individuals or their legal guardians provided informed written consent for genetic testing and publication of clinical details and images.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
These authors contributed equally: Henry Oppermann, Elia Marcos-Grañeda.
These authors jointly supervised this work: Marta Nieto, Zeynep Tümer, Konrad Platzer.
Contributor Information
Henry Oppermann, Email: Henry.oppermann@medizin.uni-leipzig.de.
Marta Nieto, Email: mnlopez@cnb.csic.es.
Zeynep Tümer, Email: zeynep.tumer@regionh.dk.
Supplementary information
The online version contains supplementary material available at 10.1038/s41431-023-01445-2.
References
- 1.Sansregret L, Nepveu A. The multiple roles of CUX1: insights from mouse models and cell-based assays. Gene. 2008;412:84–94. doi: 10.1016/j.gene.2008.01.017. [DOI] [PubMed] [Google Scholar]
- 2.Gillingham AK, Pfeifer AC, Munro S. CASP, the alternatively spliced product of the gene encoding the CCAAT-displacement protein transcription factor, Is a Golgi membrane protein related to giantin. Mol Biol Cell. 2002;13:3761–74. doi: 10.1091/mbc.e02-06-0349. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Hulea L, Nepveu A. CUX1 transcription factors: from biochemical activities and cell-based assays to mouse models and human diseases. Gene. 2012;497:18–26. [DOI] [PubMed]
- 4.Weiss LA, Nieto M. The crux of Cux genes in neuronal function and plasticity. Brain Res. 2019;1705:32–42. doi: 10.1016/j.brainres.2018.02.044. [DOI] [PubMed] [Google Scholar]
- 5.Saito T, Hanai S, Takashima S, Nakagawa E, Okazaki S, Inoue T, et al. Neocortical layer formation of human developing brains and lissencephalies: consideration of layer-specific marker expression. Cereb Cortex. 2011;21:588–96. doi: 10.1093/cercor/bhq125. [DOI] [PubMed] [Google Scholar]
- 6.Cipriani S, Nardelli J, Verney C, Delezoide AL, Guimiot F, Gressens P, et al. Dynamic expression patterns of progenitor and pyramidal neuron layer markers in the developing human hippocampus. Cereb Cortex. 2016;26:1255–71. doi: 10.1093/cercor/bhv079. [DOI] [PubMed] [Google Scholar]
- 7.Doan RN, Bae BI, Cubelos B, Chang C, Hossain AA, Al-Saad S, et al. Mutations in human accelerated regions disrupt cognition and social behavior. Cell. 2016;167:341–54.e12. doi: 10.1016/j.cell.2016.08.071. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Ellis T, Gambardella L, Horcher M, Tschanz S, Capol J, Bertram P, et al. The transcriptional repressor CDP (Cutl1) is essential for epithelial cell differentiation of the lung and the hair follicle. Genes Dev. 2001;15:2307–19. doi: 10.1101/gad.200101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Cubelos B, Briz CG, Esteban-Ortega GM, Nieto M. Cux1 and Cux2 selectively target basal and apical dendritic compartments of layer II-III cortical neurons. Dev Neurobiol. 2015;75:163–72. doi: 10.1002/dneu.22215. [DOI] [PubMed] [Google Scholar]
- 10.Cubelos B, Sebastián-Serrano A, Beccari L, Calcagnotto ME, Cisneros E, Kim S, et al. Cux1 and Cux2 regulate dendritic branching, spine morphology, and synapses of the upper layer neurons of the cortex. Neuron. 2010;66:523–35. doi: 10.1016/j.neuron.2010.04.038. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Rodríguez-Tornos FM, Briz CG, Weiss LA, Sebastián-Serrano A, Ares S, Navarrete M, et al. Cux1 enables interhemispheric connections of layer II/III neurons by regulating Kv1-dependent firing. Neuron. 2016;89:494–506. doi: 10.1016/j.neuron.2015.12.020. [DOI] [PubMed] [Google Scholar]
- 12.Ramdzan ZM, Nepveu A. CUX1, a haploinsufficient tumour suppressor gene overexpressed in advanced cancers. Nat Rev Cancer. 2014;14:673–82. doi: 10.1038/nrc3805. [DOI] [PubMed] [Google Scholar]
- 13.Luong MX, van der Meijden CM, Xing D, Hesselton R, Monuki ES, Jones SN, et al. Genetic ablation of the CDP/Cux protein C terminus results in hair cycle defects and reduced male fertility. Mol Cell Biol. 2002;22:1424–37. doi: 10.1128/MCB.22.5.1424-1437.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Platzer K, Cogné B, Hague J, Marcelis CL, Mitter D, Oberndorff K, et al. Haploinsufficiency of CUX1 causes nonsyndromic global developmental delay with possible catch-up development. Ann Neurol. 2018;84:200–7. doi: 10.1002/ana.25278. [DOI] [PubMed] [Google Scholar]
- 15.De Rubeis S, He X, Goldberg AP, Poultney CS, Samocha K, Ercument Cicek A, et al. Synaptic, transcriptional and chromatin genes disrupted in autism. Nature. 2014;515:209–15. doi: 10.1038/nature13772. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Zacher P, Mayer T, Brandhoff F, Bartolomaeus T, Le Duc D, Finzel M, et al. The genetic landscape of intellectual disability and epilepsy in adults and the elderly: a systematic genetic work-up of 150 individuals. Genet Med. 2021;23:1492–7. doi: 10.1038/s41436-021-01153-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Firth HV, Richards SM, Bevan AP, Clayton S, Corpas M, Rajan D, et al. DECIPHER: database of chromosomal imbalance and phenotype in humans using ensembl resources. Am J Hum Genet. 2009;84:524–33. doi: 10.1016/j.ajhg.2009.03.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Sobreira N, Schiettecatte F, Valle D, Hamosh A. GeneMatcher: a matching tool for connecting investigators with an interest in the same gene. Hum Mutat. 2015;36:928–30. doi: 10.1002/humu.22844. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Rentzsch P, Schubach M, Shendure J, Kircher M. CADD-Splice-improving genome-wide variant effect prediction using deep learning-derived splice scores. Genome Med. 2021;13:31. doi: 10.1186/s13073-021-00835-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Ioannidis NM, Rothstein JH, Pejaver V, Middha S, McDonnell SK, Baheti S, et al. REVEL: an ensemble method for predicting the pathogenicity of rare missense variants. Am J Hum Genet. 2016;99:877–85. doi: 10.1016/j.ajhg.2016.08.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Pejaver V, Urresti J, Lugo-Martinez J, Pagel KA, Lin GN, Nam HJ, et al. Inferring the molecular and phenotypic impact of amino acid variants with MutPred2. Nat Commun. 2020;11:5918. doi: 10.1038/s41467-020-19669-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Karczewski KJ, Francioli LC, Tiao G, Cummings BB, Alföldi J, Wang Q, et al. The mutational constraint spectrum quantified from variation in 141,456 humans. Nature. 2020;581:434–43. doi: 10.1038/s41586-020-2308-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Richards S, Aziz N, Bale S, Bick D, Das S, Gastier-Foster J, et al. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med. 2015;17:405–24. doi: 10.1038/gim.2015.30. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Hsieh TC, Bar-Haim A, Moosa S, Ehmke N, Gripp KW, Pantel JT, et al. GestaltMatcher facilitates rare disease matching using facial phenotype descriptors. Nat Genet. 2022;54:349–57. doi: 10.1038/s41588-021-01010-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Rodríguez-Tornos FM, Aniceto IS, Cubelos B, Nieto M. Enrichment of conserved synaptic activity-responsive element in neuronal genes predicts a coordinated response of MEF2, CREB and SRF. PLoS One. 2013;8:e53848. doi: 10.1371/journal.pone.0053848. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.De León Reyes NS, Mederos S, Varela I, Weiss LA, Perea G, Galazo MJ, et al. Transient callosal projections of L4 neurons are eliminated for the acquisition of local connectivity. Nat Commun. 2019;10:4549. doi: 10.1038/s41467-019-12495-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Racine RJ. Modification of seizure activity by electrical stimulation. II. Motor seizure. Electroencephalogr Clin Neurophysiol. 1972;32:281–94. doi: 10.1016/0013-4694(72)90177-0. [DOI] [PubMed] [Google Scholar]
- 28.Lindeboom RGH, Supek F, Lehner B. The rules and impact of nonsense-mediated mRNA decay in human cancers. Nat Genet. 2016;48:1112–8. doi: 10.1038/ng.3664. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Truscott M, Denault JB, Goulet B, Leduy L, Salvesen GS, Nepveu A. Carboxyl-terminal proteolytic processing of CUX1 by a caspase enables transcriptional activation in proliferating cells. J Biol Chem. 2007;282:30216–26. doi: 10.1074/jbc.M702328200. [DOI] [PubMed] [Google Scholar]
- 30.Kaplanis J, Samocha KE, Wiel L, Zhang Z, Arvai KJ, Eberhardt RY, et al. Evidence for 28 genetic disorders discovered by combining healthcare and research data. Nature. 2020;586:757–62. doi: 10.1038/s41586-020-2832-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Yang H, Kim J, Kim Y, Jang SW, Sestan N, Shim S. Cux2 expression regulated by Lhx2 in the upper layer neurons of the developing cortex. Biochem Biophys Res Commun. 2020;521:874–9. doi: 10.1016/j.bbrc.2019.11.004. [DOI] [PubMed] [Google Scholar]
- 32.Chatron N, Møller RS, Champaigne NL, Schneider AL, Kuechler A, Labalme A, et al. The epilepsy phenotypic spectrum associated with a recurrent CUX2 variant. Ann Neurol. 2018;83:926–34. doi: 10.1002/ana.25222. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Suzuki T, Tatsukawa T, Sudo G, Delandre C, Pai YJ, Miyamoto H, et al. CUX2 deficiency causes facilitation of excitatory synaptic transmission onto hippocampus and increased seizure susceptibility to kainate. Sci Rep. 2022;12:6505. doi: 10.1038/s41598-022-10715-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Malsam J, Satoh A, Pelletier L, Warren G. Golgin tethers define subpopulations of COPI vesicles. Science. 2005;307:1095–8. doi: 10.1126/science.1108061. [DOI] [PubMed] [Google Scholar]
- 35.Lievens PM, Tufarelli C, Donady JJ, Stagg A, Neufeld EJ. CASP, a novel, highly conserved alternative-splicing product of the CDP/cut/cux gene, lacks cut-repeat and homeo DNA-binding domains, and interacts with full-length CDP in vitro. Gene. 1997;197:73–81. doi: 10.1016/S0378-1119(97)00243-6. [DOI] [PubMed] [Google Scholar]
- 36.Morrill SA, Amon A. Why haploinsufficiency persists. Proc Natl Acad Sci. 2019;116:11866–71. doi: 10.1073/pnas.1900437116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Gerasimavicius L, Livesey BJ, Marsh JA. Loss-of-function, gain-of-function and dominant-negative mutations have profoundly different effects on protein structure. Nat Commun. 2022;13:3895. doi: 10.1038/s41467-022-31686-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Li H, Fertuzinhos S, Mohns E, Hnasko TS, Verhage M, Edwards R, et al. Laminar and columnar development of barrel cortex relies on thalamocortical neurotransmission. Neuron. 2013;79:970–86. doi: 10.1016/j.neuron.2013.06.043. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All data concerning this work is included in the manuscript and its supplement. Genetic variants reported in this study have been submitted to ClinVar or DECIPHER and they can be accessed using the URL https://www.ncbi.nlm.nih.gov/clinvar/ (Individual ID: SCV001335372.1; SCV001431662.1; SCV002764608; SCV002764609; SCV002764610; SCV002764611; SCV002764612; SCV002764613; SCV002764614; SCV001572223.1; SCV001335373.1; SCV001335390.1; SCV002764615; SCV002764616; SCV001335391.1; SCV002764617; SCV002764618; SCV002764619; SCV001335392.1; SCV002764620; SCV002764621; SCV002764622; SCV002764623; SCV001523945.1) and https://www.deciphergenomics.org/ (Individual ID: 401777; 387322; 503181; 338131; 322029; 503182; 503183; 503185; 503186).