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ORIGINAL RESEARCH article

Front. Genet., 01 September 2025

Sec. Genetics of Common and Rare Diseases

Volume 16 - 2025 | https://doi.org/10.3389/fgene.2025.1636206

A de novo mutation in RAB11A is associated with neurodevelopmental disorder accompanied by variable multisystem abnormalities

Huiting ZhangHuiting Zhang1Jingtao ZhangJingtao Zhang1Xue MaXue Ma1Zhehui ChenZhehui Chen2Ying JinYing Jin1Mengqiu LiMengqiu Li1Hui DongHui Dong1Feng GuFeng Gu3Yao Zhang
Yao Zhang1*Yanling Yang
Yanling Yang1*
  • 1Children’s Medical Center, Peking University First Hospital, Beijing, China
  • 2Department of Pediatrics, Women and Children’s Hospital, School of Medicine, Xiamen University, Xiamen, China
  • 3Key Laboratory of Model Animals and Stem Cell Biology in Hunan Province, Engineering Research Center of Reproduction and Translational Medicine of Hunan Province, Medical Center, Hunan Normal University, Changsha, China

Introduction: RAB11A, a Rab GTPase, is crucial for intracellular transport and recycling. Recently, RAB11A mutations have been found to be associated with neurodevelopmental disorders in cohorts. At present, there are still no effective treatment methods for NDDs caused by RAB11A deficiency, thus, identifying pathogenic mutations and generating disease models is crucial for advancing our understanding of these conditions.

Methods: We analyzed the clinical presentation of a 4-year and 4-month-old boy with a de novo RAB11A mutation c.370A>G. To examine the consequences of RAB11A mutation during early embryonic development, we disrupted the homologous rab11a gene using CRISPR/Cas9 in zebrafish.

Results: The affected boy who exhibited intellectual disability showed phenotypic features including cerebral atrophy, obesity, motor disability and abnormal muscle tone. Protein structure predictions indicated that RAB11A mutation affected protein stability and enzymatic activity. CRISPR/Cas9-mediated rab11a deficiency in zebrafish larvae significantly reduced brain, forebrain, and midbrain size.

Conclusion: Our study collectively demonstrated that the RAB11A mutation c.370A>G is associated with neurodevelopmental disorders, characterized by motor deficits and brain anomalies. Additionally, we have successfully developed a zebrafish model to recapitulate these neurodevelopmental disorders associated with RAB11A deficiency, offering a valuable genetic resource for further investigation into this disease.

1 Introduction

Children with neurodevelopmental disorders (NDDs) often experienced challenges in language, speech, motor skills, behavior, memory, learning, and other neurological functions. NDDs affect nearly 2% of the global population, impacting individuals throughout their lives (Moreau et al., 2023). Identifying the underlying causes of NDDs is crucial for advancing treatment, with genetic mutations playing a major role (Kiser et al., 2015). Many gene mutations such as ARID1B, SATB2, SYNGAP1, ANKRD11, SCN1A, DYRK1A STXBP1, MED13L, were widely found to be associated with NDDs, and novel genes like RNU4-2 were emerging (Deciphering Developmental Disorders Study, 2015; Coe et al., 2019; Maia et al., 2021; Chen et al., 2024). RAB11A has been reported as a pathogenic gene in large-scale cohorts of individuals with intellectual disability and developmental delay by Hamdan et al., in 2017, although its molecular mechanisms remain underexplored due to the lack of large cohorts and animal models (Deciphering Developmental Disorders Study, 2015; Hamdan et al., 2017). RAB11A was more recently studied in 2024 by Borroto and Hamdan, who reported a cohort of 16 individuals affected by RAB11A mutations (Borroto et al., 2024). These patients characterized by NDD accompanied by variable multisystem abornmalities including motor deficits, obesity, muscle tonus abnormalities, brain structural anomalies, cardiac defects and vision impairments.

The human RAB11A gene, located on chromosome 15, encodes a small GTPase protein consisting of 216 amino acids (Sultana and Novotny, 2022). RAB11A protein primarily localizes to the cell membrane, Golgi apparatus, endoplasmic reticulum, endosomes, and dendritic spines (Jain et al., 2023). As a Rab GTPase, RAB11A is a key regulator of intracellular membrane transport and recycling, participating in protein complex formation as well as endocytosis and exocytosis. It functions as a cellular switch based on its GDP/GTP binding state (Pasqualato et al., 2004). It co-localizes with recycling endosomes, markers such as HSP90 and RAB39B (Tran et al., 2022). Endocytosis and vesicle transport are fundamental processes that regulate development, disease, and cellular homeostasis. The endosome–lysosome transport pathway is pivotal in maintaining normal neurodevelopment (Ascano et al., 2012). While the neuronal functions of RAB11A remain to be fully understood, emerging evidence suggests its involvement in various neuronal processes (Blackman et al., 2020; Venugopal et al., 2020). Downregulation of RAB11A expression has been observed to reduce the expression of neuronal differentiation markers and to inhibit the elongation of neurite-like processes in both N1E-115 cells and primary cortical neurons (Fukatsu et al., 2024). Puri et al. described the mechanism by which WIPI2, through its binding to RAB11A, localizes to the autophagic precursor membrane. The loss of RAB11A impairs the recruitment and assembly of the autophagy machinery (Puri et al., 2018). Global ablation of the mouse Rab11a gene impairs early embryogenesis, with Rab11a-null embryos dying in utero at the implantation stage (Yu et al., 2014a; Yu et al., 2014b). Mice with intestines-specific or inner ear-specific knockout (KO) of Rab11a exhibit postnatal lethality or abnormal development, respectively (Sobajima et al., 2014; Chen et al., 2021). Rab11a Morpholino anti-sense oligos zebrafish embryos show altered body curvature (Clark et al., 2011). And double knockout of rab11a and rab11ab zebrafish showed abnormal lens development in 36hpf (Hao et al., 2020). However, there was few animal models to study the RAB11A-NDD (RAB11A related neurodevelopmental disorders), further studies to observe phenotypes and molecular basis in animal models are required.

Herein we reported a case involving a de novo RAB11A mutation. Additionally, we established a rablla deficient zebrafish model. This model exhibits various morphological and neurobehavioral abnormalities, including decreased central nervous system (CNS) area, hyperactive spontaneous swimming and spontaneous electrical discharges. Our findings provide new insights into RAB11A-related neurodevelopmental disorders.

2 Materials and methods

2.1 Patient

A 4-year and 4-month-old boy presenting with global developmental delay was admitted to Our Hospital. He was the firstborn child of non-consanguineous, healthy parents (Figure 1A). To investigate the underlying etiology, a comprehensive set of analyses was performed, including clinical investigations, routine laboratory tests, metabolic studies, brain imaging, and gene sequencing.

Figure 1
A composite image consists of three parts. Part A shows a pedigree diagram with symbols representing family members; the proband is indicated. Part B displays two axial brain CT scans highlighting abnormalities with red arrows and a triangle. Part C features three DNA chromatogram sequences for the proband, father, and mother, with red arrows pointing to specific nucleotide variations.

Figure 1. Clinical data for the patient (A). The pedigree of family 1 segregates CM. The arrow points to the proband. (B) The CT scan reveals the absence of the corpus callosum. The red arrow points to the dilated posterior horn of the lateral ventricle, and the red triangle indicates the upwardly enlarged third ventricle. (C) Sanger sequencing confirmed the RAB11A mutation in family members.

2.2 Whole genome sequencing

Genomic DNA was extracted using a kit, followed by random shearing with an ultrasonic disruptor and subsequent library construction. High-throughput sequencing was then performed on the Illumina HiSeq X Series platform. Raw data were processed to remove low-quality reads, and BWA software was utilized for read alignment to the human genome reference sequence hg19. Single nucleotide polymorphisms and insertions/deletions were identified using GATK software, with subsequent frequency analysis against a normal population database. Suspicious mutations were then assessed for potential harm using different online prediction software (SIFT, PolyPhen-2, and Mutation Taster). Finally, the pathogenicity of candidate mutations was graded as per the guidelines of the American College of Medical Genetics and Genomics (Altassan et al., 2019). Sanger sequencing was performed to verify these candidate mutations.

2.3 Three-dimensional protein structure modeling

Three-dimensional protein structure models were built using SWISS-MODEL. Sequences were obtained from UniProt (P62491, 216 amino acids) for predicting Rab11a amino acid changes. Structural comparison and mutagenesis analysis was performed using PyMOL 2.3.0, and changes in the interactions at the sites pre- and post-mutation were compared. Data related to amino acid conservation were obtained from the Conserved Domain Database (Wang et al., 2023).

2.4 Zebrafish maintaince

Adult zebrafish were maintained in tanks with circulating water at 28°C on a 14/10 h light/dark cycle and fed twice a day. Zebrafish embryos were obtained by mating adult fish through standard methods (Westerfield, 2000). Larvae were raised in embryo media consisting of 0.03% Instant Ocean and 0.0002% methylene blue in reverse osmosis-distilled water. Fluorescent imaging experiments were performed on the Tg (HuC:EGFP) line (purchased from China Zebrafish Resource Center, CZRC) (Park et al., 2000). All procedures were performed in accordance with the Guide for the Care and Use of Animals (National Research Council, 2011) and were approved by the Zhejiang Province Experimental Animal Use License (License Number: SYXK(Zhe)2024–0021).

2.5 Imaging and phenotyping

Microscopic morphological observation: Tg (HuC-GFP) zebrafish larvae at 5 days post-fertilization (dpf) was individually placed in an 18-well culture plate (1 normally swimming larva per well), ensuring a horizontal position with the back facing upwards. Bright-field photomicroscope was set at ×2 magnification, while fluorescence photomicroscope was set at ×4 magnification. Images were captured using a Nikon SMZ800N stereo microscope equipped with a Touptek high-resolution CCD camera. The interocular distance relative to body length and brain fluorescence area in the images were measured using ImageJ.

The experiment included a Cas9 control group and a rab11a crispant group, with both groups simultaneously analyzed in the same 96-well plate.

2.6 Electrophysiological testing

Zebrafish larvae at 5-6 dpf were subjected to electrophysiological testing (Griffin et al., 2016). The test was divided into Cas9 control group and rab11a knockdown group. The 300 μM pancuronium bromide was added to the sample plate to narcotize the zebrafish larvae. After 3 min, the zebrafish were fixed on the back side up with 2% low-melting point agarose gel. After the agarose solidified, it was transferred to the experimental recording tank, and culture medium E was dropped to cover the agarose and the reference electrode. Brain field potentials were measured from the optic tectum with a glass microelectrode containing 2 M sodium chloride solution. The electrical signals were recorded with an electrophysiological signal amplifier with a high impedance (A-M Systems). In the experiment, the electrical signals were digitized by an analog-to-digital converter, the sampling frequency was 10 kHz, the filter was set to 1 Hz to 5 kHz, and the measurement time was 15 min. The data were collected and analyzed by DClamp software (https://sites.google.com/site/dclampsoftware/home).

2.7 Statistical analysis

Upon completion of all phenotypic experiments, the editing efficiency of the experimental samples was assessed. Samples that failed sequencing or exhibited low editing efficiency (<5%) were excluded from statistical analysis. Statistical analysis and graphing were performed using GraphPad Prism v8. Unless stated otherwise, error bars represent standard deviation, with P < 0.05 indicating statistical significance.

3 Results

3.1 Clinical data

The patient, born full-term at the gestational age of 41 weeks (Figure 1A) with a birth weight of 4.3 kg, showed no signs of asphyxiation and had a normal Apgar score. His mother’s pregnancy was uncomplicated, and routine prenatal screenings did not reveal any abnormalities. Since infancy, the patient exhibited a strong appetite, with his body mass index ranging from 19.00 to 22.62 kg/m2. His height development remained within the normal range (0–1 SD). At birth, his occipitofrontal circumference (OFC) was normal but later fluctuated between −2 to 1 SD. Motor and cognitive delays were apparent early, resulting in the diagnosis of psychomotor retardation at 11 months. Despite starting rehabilitation at 5 months of age, progress was limited. He achieved head control at 11 months and could sit unsupported at 3 years of age. By 3 years and 5 months, he could stand and walk with support, but independent walking had not achieved by 4 years and 4 months.

In his first year, the patient exhibited hypotonia and lower limbs weakness, though tendon reflexes were normal. After 1 year of age, hypertonia emerged, along with hyperreflexia, ankle clonus, and positive Babinski sign, while axonal hypotonia persisted. Treatments with baclofen and L-dopa yielded no significant improvement. The patient did not experience seizures, but electroencephalogram findings were abnormal. Blood tests and evaluations of the cardiovascular, endocrine (including insulin, thyroid and adrenocorticotropic hormone), and skeletal systems revealed no abnormalities. Physical malformations were also absent. The patient underwent two sets of brain imaging studies. At the age of 1 year, his brain MRI revealed a thin corpus callosum, narrow gyri, deep sulci, and dilated bilateral ventricles. At the age of 3 years and 7 months, his brain CT scan showed significant atrophy of the bilateral brain and enlarged third ventricles, while the corpus callosum appeared normal (Figure 1B). With the four-year follow-up, his skills developed very slowly without regression.

3.2 De novo RAB11A mutations

A de novo mutation in the RAB11A (NM_004663.5), c.370A>G (p. Asn124Asp), was detected through both whole genome sequencing and Sanger sequencing (Figure 1C). This mutation was absent in reference population databases, including the Genome Aggregation Database (gnomAD), the 1000 Genomes Project, and the Exome Aggregation Consortium (ExAC). Following the criteria set by the American College of Medical Genetics and Genomics, the mutation was classified as likely pathogenic. Several in silico predictive tools also indicated that the mutation was damaging. Notably, the same mutation has been found in another girl with NDD (Borroto et al., 2024). Up to now, 13 pathogenic mutations of RAB11A were identified from 17 patients (Figure 2A), and 11 mutations were found once. The c.370A>G was found twice, and the c.461C>T was found four times. All these mutations distributed exon 1 to exon 3. No mutations were found in exon 4 and exon 5 (Figure 2B).

Figure 2
Diagram split into two parts: A and B. Part A shows a schematic of a GTPase protein with various mutations labeled, such as p.G21R, p.Y10C, and p.S154L. Regions SWI and SWII are highlighted, and critical mutations p.N124D and p.S154L are marked in red. Part B displays a pie chart divided into three segments representing exon mutations: exon 1 (green), exon 2 (blue), and exon 3 (yellow), with highlighted mutations c.370A>G and c.461C>T in red.

Figure 2. The mutations of the RAB11A (NM_004663.5) (A) Lollipop graph shows pathogenic mutations in RAB11A protein reported in the literature and identified in this study. (B) The pie chart shows the distribution of mutations in the exons. The repeatedly reported mutations are marked in red and the mutation of our proband was pointed in red box.

3.3 Structural modeling and in silico analysis of RAB11A protein

Protein structure predictions have highlighted the impact of the c.370A>G mutation on the stability and function of RAB11A protein. Alterations were observed in bond angles, hydrogen bonding patterns, molecular distances, and interactions with other molecules, potentially compromising the protein functionality and its ability to interact with binding partners (Figures 3A,B). RAB11A contains a conserved GTPase domain, and our patient showed a variation at the 124th amino acid, part of the conserved GTP binding site with Mg2+ and the G4 box region. This variation affects the number of hydrogen bonds, thereby impacting RAB11A function (Eathiraj et al., 2006; Shin et al., 2016). And the N124 is located in the GTP binding domain of RAB11A, and its charge change (wild-type asparagine: Asn, polar uncharged to aspartic acid: Asp, acidic charged) may interfere with GTP hydrolysis or the binding of effector proteins. The prediction results from various bioinformatics tools for this variant were all damaging (Figure 3C). The variant amino acid is completely conserved among the six known RAB11A homologs other than zebrafish (Figure 3D).

Figure 3
Molecular models A and B depict amino acid interactions with highlighted residues in orange amid a complex structure. Chart C lists algorithms with scores and pathogenicity predictions, such as “Likely pathogenic” and “Damaging” for the variant. Panel D shows a sequence alignment for p.N124D across species, with differences in red.

Figure 3. The variant p. Asp124Asn of RAB11A (A,B) The angles among the nearest contact residues and the wild-type or mutated residues were also measured. Wild-type and mutated residues are depicted by orange sticks, while contact atoms are represented by gray colors. Yellow dotted lines indicate hydrogen bonds. (C) Pathogenicity prediction of the RAB11A missense variant (c.370A>C) using multi-algorithm consensus. Functional impact of the RAB11A mutation (p.N124D) was evaluated by bioinformatic tools based on distinct principles. Evolutionary conservation: GERP++, phyloP. Structural/physicochemical properties: SIFT, PolyPhen-2_HDIV/HVAR, FATHMM-MKL. Machine learning integration: Alphamissense, REVEL, CADD, DANN, Eigen. Pathogenicity probability: MutationTaster, LRT, fitCons, GenoCanyon. (D) Multiple-sequence alignment in RAB11A from different species. The variant was pointed out in red. Conserved protein sequence alignment across 7 species validates critical residue position.

3.4 Zebrafish genetic manipulation

Next, we established a zebrafish model to replicate RAB11A deficiency. The zebrafish genome has two RAB11A orthologs, rab11a (ENSDARG00000041450) and rab11al (ENSDARG00000014340). The ortholog evaluation was conducted using the DIOPT Ortholog Finder (Hu et al., 2011). The protein identity between human RAB11A and zebrafish ortholog genes is 95% for rab11a and 84% for rab11 al, respectively. In this study, we focused on rab11a due to its higher DIOPT score and protein identity with human RAB11A.

To resolve the evolutionary relationships of RAB11A in vertebrates, we analyzed homologous sequences from seven key species, including human and zebrafish (Figure 4A). The phylogenetic tree reveals that zebrafish rab11a (AAI64310.1) clusters within a distinct teleost branch (support ≥95%), forming a sister-group relationship with tetrapods (including H. sapiens, M. musculus, and X. laevis; node support = 98%). This indicates conserved core functionality despite ∼450 million years of divergence. Zebrafish rab11a serves as a robust model for studying human RAB11A function, with high evolutionary conservation in core functional domains. Multisequence alignment reveals complete conservation of GTPase domains (G1-G5) between humans and zebrafish, indicating similar GTP hydrolysis and switch mechanisms (Figure 4B). High conservation of zebrafish rab11a protein in critical functional domains validates its utility for modeling human RAB11A protein disorder. Single guide RNA (sgRNA) targets were identified using the CHOPCHOP online tool (Labun et al., 2019) and synthesized by GenScript. Six sgRNAs were designed for the target gene, as Supplementary Table S1. CRISPR complexes consisting of each single sgRNA (90 ng/μL) and Cas9 protein (GenScript, 250 ng/μL) were injected into fertilized embryos at the 1-2 cell stage, with a volume of approximately 1 nL. 24 h post-injection, a few embryos from the injected group were pooled and sanger sequenced to verify the mutagenesis efficacy using the TIDE (Tracking of Indels by DEcomposition) online tool (Brinkman et al., 2014) (Supplementary Table S2). sgRNAs 1,4 and 5 were excluded due to low editing efficacy (<10%), while sgRNAs 2,3 and 6 were selected for subsequent experiments. The sequence of the sgRNAs knockout target sites was shown in Figures 4C,D. To generate mutagenesis in the target gene, fertilized embryos (1-2 cell stage) were injected with approximately 1 nL of CRISPR complexes composed of three sgRNAs (120 ng/μL for each sgRNA) and cas9 protein (GenScript, 250 ng/μL) (Hwang et al., 2013) (Figure 4E). Post hoc genotyping was performed after phenotypic studies. Individual larvae were collected for sequencing and TIDE analysis to confirm the mutagenesis. And the control larvae were injected with Cas9 protein only.

Figure 4
Diagram illustrating a phylogenetic tree (A) depicting evolutionary relationships among species, a sequence alignment (B) in color-coded format, a gene structure with labeled exons (C) and sgRNA sequences, electropherograms showing DNA sequences (D), and a schematic of a genetic manipulation process in zebrafish (E), involving injection into embryos.

Figure 4. Zebrafish genetic manipulation (A) Phylogenetic analysis of RAB11A in Zebrafish, Human, and Other Species. The phylogenetic tree was constructed using amino acid sequences of RAB11A homologs, generated with MEGA 12 via the Neighbor-Joining method (Bootstrap = 1000 replicates) and visualized using iTOL. Branch node values indicate Bootstrap support rates (shown if ≥ 50%). Scale bar represents amino acid substitutions per site. (B) Amino Acid Sequence Alignment of Key Functional Domains in RAB11A Homologs Across Species (C) Schematic of the rab11a gene (ENSDARG00000041450) and the red sequences represent sgRNA2, 3, 6. The bule part of exon 3 represents the sgRNA knockout target site. (D) The Sanger sequence of mutant rab11a edited by sgRNA2, 3, 6. (E) The procedure of the establishment of rab11a deficient zebrafish model.

3.5 Morphology characteristics in rab11a crispant zebrafish

The phenotypes of human RAB11A mutations include craniofacial malformations and developmental abnormalities. To examine the effect of rab11a deficiency on zebrafish morphology, morphological measurements were performed on rab11a deficient groups (n = 30) and Cas9 control (n = 20) (Supplementary Figure S1). There was no significant difference in eye distance between Cas9 control group and rab11a deficient group (p = 0.151, unpaired t-test) (Supplementary Figures S1B,S1C). Difference in body length between the two groups was also negligible (p = 0.0605, unpaired t-test) (Supplementary Figure S1D,S1E). As shown in Supplementary Figure S1F, there was a significant difference in the ratio of eye distance to body length between the Cas9 control group (n = 20, unpaired t-test) and the rab11a crispant group (n = 30) in zebrafish (p = 0.0173, unpaired t-test).

3.6 Brain area reduction in rab11a crispant zebrafish

Compared to the control group injected with Cas9 (n = 20 fish), rab11a crispant zebrafish larvae (n = 30 fish) exhibited a significant reduction in brain area (p = 0.012, unpaired t-test). A trend toward reduced forebrain size (p = 0.009, unpaired t-test) and a significant decrease in the midbrain (p = 0.023, Student’s t-tests) was observed (Figures 5A–D). Hindbrain size, however, showed no significant difference (p = 0.359, Student’s t-test) (Figure 5E).

Figure 5
Panel A shows two images comparing cas9 control and rab11a crispant fish, with a focus on CNS areas. Panels B to E present bar graphs analyzing CNS, forebrain, midbrain, and hindbrain areas, respectively, with significant differences noted, except in Panel E. Panel F illustrates a bar graph showing the number of fish with baseline versus epileptiform signals, highlighting statistical significance. Panel G displays electrophysiological traces comparing baseline signals in cas9 controls and epileptiform signals in rab11a crispants, with magnified sections indicating detailed waveform patterns.

Figure 5. Rab11a deficient induces phenotypic anomalies in zebrafish larvae (A) Representative images of zebrafish larvae expressing HuC:eGFP. Brain fluorescence pattern at 5 dpf is displayed (dorsal view). Left, control injected with cas9; right, rab11a crispant. The white dashed line shows the outline of the CNS, which is divided into three parts: forebrain, midbrain, and hindbrain. (B–D) Measurements of brain fluorescence area in control vs rab11a crispant. (B) comparison of brain area data distribution between Cas9 control group and rab11a crispant group; (C) comparison of forebrain area data and frequency distribution between Cas9 control group and rab11a crispant group; (D) comparison of midbrain data between Cas9 control group and rab11a crispant group. (E) comparison of hindbrain data between Cas9 control group and rab11a crispant group. (F,G) Representative local field potential recording showing spontaneous epileptiform events in rab11a crispants. Data were normalized to the mean values of the control group. Error bars indicate standard deviation. Data are shown as mean ± S.E.M. *P < 0.05, **P < 0.01.

3.7 Epileptiform electrical signals in rab11a-deficient zebrafish

At 5 dpf, 4 out of 30 rab11a deficient zebrafish larvae exhibited spontaneous epileptiform electrical discharges (Figures 5F,G). A statistically significant difference was observed in comparison to the control group in which all 30 fish displayed normal baseline activity. This result suggested that the RAB11A mutation may have a significant impact on the neural activity of zebrafish larvae. The control normal baseline activity aligns with typical zebrafish behavior at this stage (Figure 5F), as zebrafish larvae develop different behaviors, including emotions and goal-directed behavior, by 4–5 dpf. This finding underscores the utility of the zebrafish model for studying the effects of RAB11A mutation on neurodevelopment and could provide valuable insights into the underlying mechanisms associated with neurodevelopmental disorders.

4 Discussion

The RAB11A gene is associated with many diseases, such as NDDs, neurodegenerative diseases, tumors, and inflammatory bowel disease (Joseph et al., 2023; Mignogna et al., 2023; Yoshida et al., 2024). Our study presents a case of a neurodevelopmental disorder associated with a RAB11A mutation featuring brain abnormalities, thinning of the corpus callosum, obesity, and abnormal muscle tone. Protein structure prediction showed that the RAB11A variation might impair the stability and activity of the RAB11A protein. Moreover, we established a rab11a deficient zebrafish model which recapitulates the phenotypes of patients.

The proband’s phenotype aligns with previous reports, where RAB11A-related NDDs were shown to affect gait, muscle tone, brain anatomy and physiology, vision, adrenarche, and body weight and structure, with some patients experiencing epilepsy (Borroto et al., 2024). For all the reported 17 children with RAB11A mutations, we noticed that five children with microcephaly experienced a series of OFC measurements. Four of them were diagnosed with acquired microcephaly and their brain image showed progress in brain atrophy and agenesis of the corpus callosum. Therefore, emphasis should be placed on studying the evolution of illness to achieve a comprehensive understanding of the disease. Borroto et al. reported a girl who harbors the same RAB11A mutation c.370A>G (Borroto et al., 2024). While we found that the phenotypes are not identical between the girl and the patient (our proband). They both had developmental disorders, brain MRI abnormalities and gastrointestinal diseases. Moreover, we found acquired microcephaly, the motor disability and obesity of the patient in the present study which was not exhibited for the girl. The detailed description of our proband with four-year follow-up would further enrich our understanding for this disease. Given the limited number of reported cases, more details of additional patients and longer follow-up are required to elucidate specific genotypes and phenotypes.

RAB11A mutations have been found to be associated with neurodevelopmental disorders, but animal models are lacking for validation. To address it, we generated zebrafish disease model. The reduced CNS area, and abnormal suggests that the rab11a deficient zebrafish model can well simulate RAB11A-related neurodevelopmental disorders. The global Rab11anull mouse model constructed by T. Sobajima etal was embryonic lethal, and the global Rab11a +/- mouse model has not been described in their article (Sobajima et al., 2014). Their laboratory established a Rab11a brain-KO (BKO) mouse model, but did not find abnormal brain development in the related model. This may be related to the fact that only the brain area of adult-BKO mice was observed in this article, and there is a lack of relevant statistical data support. No relevant behavioral studies were conducted on this Rab11a BKO mouse model. In addition, whether the global Rab11a knockout model is due to functional defects in multi-systems that cause abnormalities in the nervous system of this model is also worthy of further discussion. In the past, the global rab11a dominant negative zebrafish model showed abnormal embryonic curvature, but the detailed neural phenotype was not described (Clark et al., 2011). While Rab11 null mouse embryo is lethal, the rab11a and rab11ba double-ko zebrafish model generated by Hao, Y., et al. survived at 36hpf (Hao et al., 2020). It might due to that zebrafish possess four paralogs, rab11a (rab11aa), rab11al (rab11ab), rab11ba and rab11bb (Zhang et al., 2019). These collateral homologous genes may have overlapping functions (Hall et al., 2017).

Since the efficient crispant has been developed, it has broad application for the rapid identification of new genes involved in many biological processes (Shah et al., 2015; Hoshijima, K., et al., 2019; Bek et al., 2021). Recently, this approach was used for neurodevelopmental diseases more and more (Gong et al., 2022; Shu et al., 2023; Xiao et al., 2025). More genes associated neurodevelopmental diseases were known, the zebrafish crispant would offer a robust pipeline for rapidly characterizing candidate human disease genes with advanced improvement (Lin et al., 2025). To our knowledge, this is the first animal model of neurodevelopmental disorders with RAB11A deficiency. Future research could focus on exploring the specific functions of RAB11A and assessing the effectiveness of potential treatment approaches in the model, such as the relationship between autophagy, endosome–lysosome transport and neurodevelopmental and neurodegenerative diseases (Sultana and Novotny, 2022). In this study, we only validated the neurologic phenotype in a zebrafish model, the motor disorder, obesity, behavior problems and other multisystemic phenotypes may be further investigated. However, it should be noted that we did not establish a rab11a N124D zebrafish model. We investigated the prominent phenotypes of reduced brain size and hyperexcitability. Additional behavioral tests, such as novel object recognition and three-chamber social interaction tests, will be conducted when feasible.

In summary, we present a case of a RAB11A-related NDD patient, predominantly characterized by global developmental delay, motor disorder and brain anomalies. Additionally, we have generated a rab11a deficient zebrafish model to study neurodevelopmental disorders associated with RAB11A gene mutations.

Data availability statement

The WGS datasets presented in this article are not readily available because privacy-related concerns with sharing the data. Requests to access the datasets should be directed to the corresponding author through email.

Ethics statement

The studies involving humans were approved by Peking University First Hospital. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participant’s; legal guardians/next of kin in accordance with the national legislation and institutional requirements. The animal study was approved by Zhejiang Province Experimental Animal Use License. The study was conducted in accordance with the local legislation and institutional requirements.

Author contributions

HZ: Writing - original draft, Conceptualization, Data curation, Formal Analysis. JZ: Writing - original draft, Formal Analysis. XM: Data curation, Writing - original draft. ZC: Writing - review and editing, Formal Analysis. YJ: Project administration, Writing - review and editing. ML: Writing - review and editing, Investigation. HD: Supervision, Writing - review and editing. FG: Validation, Writing - review and editing. YZ: Supervision, Writing - review and editing. YY: Writing - review and editing, Funding acquisition, Supervision.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by a grant from the National Key Research and Development Program of China [grant number 2022YFC2703401 and 2021YFC2700903].

Acknowledgments

We would like to thank the patient and his family for their participation. We are grateful to Euler Genomics (Beijing) for their professional services in genetic sequencing and analysis.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fgene.2025.1636206/full#supplementary-material

References

Altassan, R., Péanne, R., Jaeken, J., Barone, R., Bidet, M., Borgel, D., et al. (2019). International clinical guidelines for the management of phosphomannomutase 2-congenital disorders of glycosylation: diagnosis, treatment and follow up. J. Inherit. Metab. Dis. 42 (1), 5–28. doi:10.1002/jimd.12024

PubMed Abstract | CrossRef Full Text | Google Scholar

Ascano, M., Bodmer, D., and Kuruvilla, R. (2012). Endocytic trafficking of neurotrophins in neural development. Trends Cell Biol. 22 (5), 266–273. doi:10.1016/j.tcb.2012.02.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Bek, J. W., Shochat, C., De Clercq, A., De Saffel, H., Boel, A., Metz, J., et al. (2021). Lrp5 mutant and crispant zebrafish faithfully model human osteoporosis, establishing the zebrafish as a platform for CRISPR-based functional screening of osteoporosis candidate genes. J. Bone Min. Res. 36 (9), 1749–1764. doi:10.1002/jbmr.4327

PubMed Abstract | CrossRef Full Text | Google Scholar

Blackman, M. J., Venugopal, K., Chehade, S., Werkmeister, E., Barois, N., Periz, J., et al. (2020). Rab11A regulates dense granule transport and secretion during Toxoplasma gondii invasion of host cells and parasite replication. PLOS Pathogens. 16, 1–28. e1008106.

PubMed Abstract | CrossRef Full Text | Google Scholar

Borroto, M. C., Patel, H., Srivastava, S., Swanson, L. C., Keren, B., Whalen, S., et al. (2024). Cohort expansion and genotype-phenotype analysis of RAB11A-Associated neurodevelopmental disorder. Pediatr. Neurol. 160, 45–53. doi:10.1016/j.pediatrneurol.2024.07.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Brinkman, E. K., Chen, T., Amendola, M., and van Steensel, B. (2014). Easy quantitative assessment of genome editing by sequence trace decomposition. Nucleic Acids Res. 42 (22), e168. doi:10.1093/nar/gku936

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, B. J., Qian, X. Q., Yang, X. Y., Jiang, T., Wang, Y. M., Lyu, J. H., et al. (2021). Rab11a regulates the development of cilia and establishment of planar cell polarity in mammalian vestibular hair cells. Front. Mol. Neurosci. 14, 762916. doi:10.3389/fnmol.2021.762916

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, Y., Dawes, R., Kim, H. C., Ljungdahl, A., Stenton, S. L., Walker, S., et al. (2024). De novo variants in the RNU4-2 snRNA cause a frequent neurodevelopmental syndrome. Nature 632 (8026), 832–840. doi:10.1038/s41586-024-07773-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Clark, B. S., Winter, M., Cohen, A. R., and Link, B. A. (2011). Generation of Rab-based transgenic lines for in vivo studies of endosome biology in zebrafish. Dev. Dyn. 240 (11), 2452–2465. doi:10.1002/dvdy.22758

PubMed Abstract | CrossRef Full Text | Google Scholar

Coe, B. P., Stessman, H. A. F., Sulovari, A., Geisheker, M. R., Bakken, T. E., Lake, A. M., et al. (2019). Neurodevelopmental disease genes implicated by de novo mutation and copy number variation morbidity. Nat. Genet. 51 (1), 106–116. doi:10.1038/s41588-018-0288-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Deciphering Developmental Disorders Study (2015). Large-scale discovery of novel genetic causes of developmental disorders. Nature 519 (7542), 223–228. doi:10.1038/nature14135

PubMed Abstract | CrossRef Full Text | Google Scholar

Deciphering Developmental Disorders Study (2017). Prevalence and architecture of de novo mutations in developmental disorders. Nature 542 (7642), 433–438. doi:10.1038/nature21062

PubMed Abstract | CrossRef Full Text | Google Scholar

Eathiraj, S., Mishra, A., Prekeris, R., and Lambright, D. G. (2006). Structural basis for Rab11-mediated recruitment of FIP3 to recycling endosomes. J. Mol. Biol. 364 (2), 121–135. doi:10.1016/j.jmb.2006.08.064

PubMed Abstract | CrossRef Full Text | Google Scholar

Fukatsu, S., Sashi, H., Shirai, R., Takagi, N., Oizumi, H., Yamamoto, M., et al. (2024). Rab11a controls cell shape via C9orf72 protein: possible relationships to frontotemporal dementia/amyotrophic lateral sclerosis (FTDALS) type 1. Pathophysiology 31 (1), 100–116. doi:10.3390/pathophysiology31010008

PubMed Abstract | CrossRef Full Text | Google Scholar

Gong, P., Liu, J., Jiao, X., Niu, Y., Wang, J., Wang, X., et al. (2022). Novel biallelic loss of EEF1B2 function links to autosomal recessive intellectual disability. Hum. Mutat. 43 (3), 299–304. doi:10.1002/humu.24329

PubMed Abstract | CrossRef Full Text | Google Scholar

Griffin, A., Krasniak, C., and Baraban, S. C. (2016). Advancing epilepsy treatment through personalized genetic zebrafish models. Prog. Brain Res. 226, 195–207. doi:10.1016/bs.pbr.2016.03.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Hall, T. E., Martel, N., Lo, H. P., Xiong, Z., and Parton, R. G. (2017). A plasmid library of full-length zebrafish rab proteins forin vivocell biology. Cell. Logist. 7 (1), e1301151. doi:10.1080/21592799.2017.1301151

PubMed Abstract | CrossRef Full Text | Google Scholar

Hamdan, F. F., Myers, C. T., Cossette, P., Lemay, P., Spiegelman, D., Laporte, A. D., et al. (2017). High Rate of Recurrent de novo Mutations in Developmental and Epileptic Encephalopathies. Am. J. Hum. Genet. 101 (5), 664–685. doi:10.1016/j.ajhg.2017.09.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Hao, Y., Zhou, Y., Yu, Y., Zheng, M., Weng, K., Kou, Z., et al. (2020). Interplay of MPP5a with Rab11 synergistically builds epithelial apical polarity and zonula adherens. Development 147. doi:10.1242/dev.184457

PubMed Abstract | CrossRef Full Text | Google Scholar

Hoshijima, K., Jurynec, M. J., Klatt Shaw, D., Jacobi, A. M., Behlke, M. A., and Grunwald, D. J. (2019). Highly efficient CRISPR-Cas9-Based methods for generating deletion mutations and F0 embryos that lack gene function in zebrafish. Dev. Cell 51 (5), 645–657. doi:10.1016/j.devcel.2019.10.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, Y., Flockhart, I., Vinayagam, A., Bergwitz, C., Berger, B., Perrimon, N., et al. (2011). An integrative approach to ortholog prediction for disease-focused and other functional studies. BMC Bioinforma. 12, 357. doi:10.1186/1471-2105-12-357

PubMed Abstract | CrossRef Full Text | Google Scholar

Hwang, W. Y., Fu, Y., Reyon, D., Maeder, M. L., Tsai, S. Q., Sander, J. D., et al. (2013). Efficient genome editing in zebrafish using a CRISPR-cas system. Nat. Biotechnol. 31 (3), 227–229. doi:10.1038/nbt.2501

PubMed Abstract | CrossRef Full Text | Google Scholar

Jain, A., Nakahata, Y., Watabe, T., Rusina, P., South, K., Adachi, K., et al. (2023). Dendritic, delayed, and stochastic CaMKII activation underlies behavioral time scale plasticity in CA1 synapses. bioRxiv. doi:10.1101/2023.08.01.549180

PubMed Abstract | CrossRef Full Text | Google Scholar

Joseph, I., Flores, J., Farrell, V., Davis, J., Bianchi-Smak, J., Feng, Q., et al. (2023). RAB11A and RAB11B control mitotic spindle function in intestinal epithelial progenitor cells. EMBO Rep. 24 (9), e56240. doi:10.15252/embr.202256240

PubMed Abstract | CrossRef Full Text | Google Scholar

Kiser, D. P., Rivero, O., Lesch, K. P., Kiser, D. P., Rivero, O., and Lesch, K. P. (2015). Annual research review: the (epi)genetics of neurodevelopmental disorders in the era of whole-genome sequencing--unveiling the dark matter. J. Child. Psychol. Psychiatry 56 (3), 278–295. doi:10.1111/jcpp.12392

PubMed Abstract | CrossRef Full Text | Google Scholar

Labun, K., Montague, T. G., Krause, M., Torres Cleuren, Y. N., Tjeldnes, H., and Valen, E. (2019). CHOPCHOP v3: expanding the CRISPR web toolbox beyond genome editing. Nucleic Acids Res. 47 (W1), W171-W174–w174. doi:10.1093/nar/gkz365

PubMed Abstract | CrossRef Full Text | Google Scholar

Lin, S.-J., Huang, K., Petree, C., Qin, W., Varshney, P., and Varshney, G. K. (2025). Optimizing gRNA selection for high-penetrance F0 CRISPR screening for interrogating disease gene function. Nucleic Acids Res. 53 (5). doi:10.1093/nar/gkaf180

PubMed Abstract | CrossRef Full Text | Google Scholar

Maia, N., Nabais Sá, M. J., Melo-Pires, M., de Brouwer, A. P. M., and Jorge, P. (2021). Intellectual disability genomics: current state, pitfalls and future challenges. BMC Genomics 22 (1), 909. doi:10.1186/s12864-021-08227-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Mignogna, G., Fabrizi, C., Correani, V., Giorgi, A., and Maras, B. (2023). Rab11A depletion in microglia-derived extracellular vesicle proteome upon beta-amyloid treatment. Cell Biochem. Biophys. 81 (2), 337–347. doi:10.1007/s12013-023-01133-4

PubMed Abstract | CrossRef Full Text | Google Scholar

Moreau, C., Deruelle, C., and Auzias, G. (2023). “Machine learning for neurodevelopmental disorders,” in Machine learning for brain disorders. Editor O. Colliot (New York, NY: Humana Copyright), 977–1007. 2023, The Author(s).

CrossRef Full Text | Google Scholar

National Research Council (2011). Guide for the care and use of laboratory animals. Eighth Edition. Washington, DC: The National Academies Press. doi:10.17226/12910

CrossRef Full Text | Google Scholar

Park, H. C., Kim, C. H., Bae, Y. K., Yeo, S. Y., Kim, S. H., Hong, S. K., et al. (2000). Analysis of upstream elements in the HuC promoter leads to the establishment of transgenic zebrafish with fluorescent neurons. Dev. Biol. 227 (2), 279–293. doi:10.1006/dbio.2000.9898

PubMed Abstract | CrossRef Full Text | Google Scholar

Pasqualato, S., Senic-Matuglia, F., Renault, L., Goud, B., Salamero, J., and Cherfils, J. (2004). The structural GDP/GTP cycle of Rab11 reveals a novel interface involved in the dynamics of recycling endosomes. J. Biol. Chem. 279 (12), 11480–11488. doi:10.1074/jbc.M310558200

PubMed Abstract | CrossRef Full Text | Google Scholar

Puri, C., Vicinanza, M., Ashkenazi, A., Gratian, M. J., Zhang, Q., Bento, C. F., et al. (2018). The RAB11A-Positive compartment is a primary platform for autophagosome assembly mediated by WIPI2 recognition of PI3P-RAB11A. Dev. Cell 45 (1), 114–131. doi:10.1016/j.devcel.2018.03.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Shah, A. N., Davey, C. F., Whitebirch, A. C., Miller, A. C., and Moens, C. B. (2015). Rapid reverse genetic screening using CRISPR in zebrafish. Nat. Methods 12 (6), 535–540. doi:10.1038/nmeth.3360

PubMed Abstract | CrossRef Full Text | Google Scholar

Shin, Y. C., Kim, C. M., Choi, J. Y., Jeon, J. H., and Park, H. H. (2016). Occupation of nucleotide in the binding pocket is critical to the stability of Rab11A. Protein Expr Purif. 120, 153–159. doi:10.1016/j.pep.2016.01.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Shu, L., Xie, G., Mei, D., Xu, R., Liu, S., Xiao, B., et al. (2023). Biallelic mutations in UGDH cause congenital microcephaly. Genes & Dis. 10 (5), 1816–1819. doi:10.1016/j.gendis.2022.12.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Sobajima, T., Yoshimura, S., Iwano, T., Kunii, M., Watanabe, M., Atik, N., et al. (2014). Rab11a is required for apical protein localisation in the intestine. Biol. Open 4 (1), 86–94. doi:10.1242/bio.20148532

PubMed Abstract | CrossRef Full Text | Google Scholar

Sultana, P., and Novotny, J. (2022). Rab11 and its role in neurodegenerative diseases. ASN Neuro 14, 17590914221142360. doi:10.1177/17590914221142360

PubMed Abstract | CrossRef Full Text | Google Scholar

Tran, M. T., Okusha, Y., Htike, K., Sogawa, C., Eguchi, T., Kadowaki, T., et al. (2022). HSP90 drives the Rab11a-mediated vesicular transport of the cell surface receptors in osteoclasts. Cell Biochem. Funct. 40 (8), 838–855. doi:10.1002/cbf.3745

PubMed Abstract | CrossRef Full Text | Google Scholar

Venugopal, K., Chehade, S., Werkmeister, E., Barois, N., Periz, J., Lafont, F., et al. (2020). Rab11A regulates dense granule transport and secretion during Toxoplasma gondii invasion of host cells and parasite replication. PLoS Pathog. 16 (5), e1008106. doi:10.1371/journal.ppat.1008106

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, J., Chitsaz, F., Derbyshire, M. K., Gonzales, N. R., Gwadz, M., Lu, S., et al. (2023). The conserved domain database in 2023. Nucleic Acids Res. 51 (D1), D384–d388. doi:10.1093/nar/gkac1096

PubMed Abstract | CrossRef Full Text | Google Scholar

Westerfield, M. (2000). The zebrafish book. A guide for the laboratory use of zebrafish (Danio rerio). 4th ed. Eugene: Univ. of Oregon Press.

Google Scholar

Xiao, X., Zheng, H., Xiong, M., Chen, X., Jiang, L., and Hu, Y. (2025). Genotypic and phenotypic characteristics of ADGRV1 mutations in four children and functional validation in a zebrafish model. Gene 942, 149246. doi:10.1016/j.gene.2025.149246

PubMed Abstract | CrossRef Full Text | Google Scholar

Yoshida, K., Htike, K., Eguchi, T., Kawai, H., Eain, H. S., Tran, M. T., et al. (2024). Rab11 suppresses head and neck carcinoma by regulating EGFR and EpCAM exosome secretion. J. Oral Biosci. 66 (1), 205–216. doi:10.1016/j.job.2023.11.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Yu, S., Nie, Y., Knowles, B., Sakamori, R., Stypulkowski, E., Patel, C., et al. (2014a). TLR sorting by Rab11 endosomes maintains intestinal epithelial-microbial homeostasis. Embo J. 33 (17), 1882–1895. doi:10.15252/embj.201487888

PubMed Abstract | CrossRef Full Text | Google Scholar

Yu, S., Yehia, G., Wang, J., Stypulkowski, E., Sakamori, R., Jiang, P., et al. (2014b). Global ablation of the mouse Rab11a gene impairs early embryogenesis and matrix metalloproteinase secretion. J. Biol. Chem. 289 (46), 32030–32043. doi:10.1074/jbc.M113.538223

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, H., Gao, Y., Qian, P., Dong, Z., Hao, W., Liu, D., et al. (2019). Expression analysis of Rab11 during zebrafish embryonic development. BMC Dev. Biol. 19 (1), 25. doi:10.1186/s12861-019-0207-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: rab11a, neurodevelopmental disorder, zebrafish, motor deficits, crispant

Citation: Zhang H, Zhang J, Ma X, Chen Z, Jin Y, Li M, Dong H, Gu F, Zhang Y and Yang Y (2025) A de novo mutation in RAB11A is associated with neurodevelopmental disorder accompanied by variable multisystem abnormalities. Front. Genet. 16:1636206. doi: 10.3389/fgene.2025.1636206

Received: 27 May 2025; Accepted: 02 July 2025;
Published: 01 September 2025.

Edited by:

Desheng Liang, Central South University, China

Reviewed by:

Jianzhen Li, Northwest Normal University, China
Xiao-Long Zhou, Chinese Academy of Sciences (CAS), China
Xinwen Huang, Zhejiang University, China

Copyright © 2025 Zhang, Zhang, Ma, Chen, Jin, Li, Dong, Gu, Zhang and Yang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Yao Zhang, enlfdHpoQDE2My5jb20=; Yanling Yang, b3JnYW5pYy5hY2lkQHZpcC4xMjYuY29t

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