Abstract
Neurodevelopmental disorders (NDDs) are a group of brain disorders with a neonatal or early childhood onset and are lifelong. Various factors including genetics, and environmental and immune‐related risk factors have been associated with NDDs. Given the complex nature of these disorders, multiple animal models have been used to investigate their aetiology and underlying cellular and molecular mechanisms. Recently, zebrafish have attracted great attention as an emerging model for studying NDDs. In addition to their easy maintenance, short developmental cycle, ex utero embryonic evolution, and optical clarity, zebrafish have successfully recapitulated phenotypes seen in human genetic disorders. This review explores the growing role of zebrafish in NDD research, by summarizing recently developed zebrafish genetic models for autism spectrum disorder, schizophrenia, and cerebral palsy. We then explore the potential of zebrafish as a model for studying NDDs linked to immune system dysfunction.
The relevance of the pathogenic (de novo or inherited) mutations found in patients with neurodevelopmental disorders can be investigated using zebrafish as an animal model, by functional screening of the target genes and phenotypic assessments during both early development and adulthood.

Abbreviations
- ASD
autism spectrum disorder
- NDD
neurodevelopmental disorder
What this paper adds
Zebrafish present a complementary model for investigating dysfunctional pathways underlying neurodevelopmental disorders (NDDs).
Their unique characteristics provide exceptional settings to study microglia's role in NDDs.
NDDs are an etiologically heterogeneous group of brain disorders that arise from a disturbance in the brain development and manifest themselves in the form of cognitive, communicative, or psycho‐behavioural impairment. 1 , 2 These disorders have been primarily described as ‘disorders usually first diagnosed in infancy, childhood, or adolescence’, pointing towards a prenatal or early postnatal origin of the disruptive events that prevent proper brain development. 3 NDDs encompass a broad range of conditions from the well‐known, best studied disorders like autism spectrum disorder (ASD), intellectual disability, schizophrenia, attention‐deficit/hyperactivity disorder, and cerebral palsy (CP), to recently discovered rare genetic disorders such as SLC6A1 disease, Lessel‐Kreienkamp syndrome, RNU4‐2 syndrome, and LRRC7‐associated NDDs. 4 , 5 , 6 , 7 , 8
Advances in genome‐wide association studies, large‐scale whole‐exome sequencing, and, more recently, whole genome sequencing have enabled the identification of high‐confidence NDDs risk genes in both coding and non‐coding regions of the genome. These findings highlighted that genetically defined NDDs account for a substantial proportion of NDD cases, 8 , 9 , 10 , 11 , 12 given the involvement of numerous genes in regulating brain function. These include genes encoding cell adhesion molecules (e.g. NEUROLIGIN‐NEUREXIN), signalling proteins (e.g. SYNGAP), synaptic proteins (e.g. SHANK), small noncoding ribonucleic acids (e.g. RNU4‐2), and proteins involved in ribonucleic acid metabolism (e.g. AGO2). 5 , 8 , 13
Nevertheless, while genetic alterations are strongly linked to the onset of NDDs, the influence of environmental and immune risk factors cannot be ignored as, in many cases, the interplay of multiple risk factors complicates the identification of the exact cause of these disorders. 1 , 14
To date, a variety of in vitro and in vivo approaches have been employed to study the aetiology and pathological mechanisms underlying NDDs and their associated comorbidities. While the mouse remains the most extensively used animal model, smaller organisms such as the fruit fly and zebrafish have recently emerged as valuable tools for rapidly screening multiple candidate genes and exploring the complex and heterogeneous nature of NDDs. 15 In this review, we specifically emphasize the contributions of the zebrafish model to NDD research.
ZEBRAFISH
The zebrafish (Danio rerio), a tropical freshwater fish, was first introduced by George Streisinger into biological research in the 1970s. As non‐mammalian vertebrates, zebrafish share significant physiological and genetic similarities with humans. Approximately 70% of human coding genes, including most disease‐associated genes, have a direct functional ortholog in zebrafish. 16 , 17 The degree of evolutionary conservation of the non‐coding human genes is, however, lower in zebrafish. 18
Zebrafish are highly efficient for research because of their rapid generation time, high fertility, and cost‐effective maintenance. Their ex utero development allows for easy embryonic and larval manipulation, while their optically transparent developmental stages provide a unique opportunity to observe organ formation in a living vertebrate. The ease of transgenesis, along with the growing number of fluorescent reporter zebrafish lines, enables real‐time visualization of fluorescently labelled cell behaviour inside intact tissues. Additionally, zebrafish can be genetically manipulated, allowing researchers to screen phenotypes at various developmental stages. Common gene inactivation techniques include transcription activators like effector nucleases, zinc finger nucleases, and, most notably, CRISPR‐associated protein 9, which enables the generation of bi‐allelic knockouts in the F0 animals. Transient gene silencing can also be achieved using small, modified oligonucleotides called morpholinos, while target gene overexpression is possible through messenger ribonucleic acid microinjection. 19 , 20 , 21
Several characteristics make zebrafish an excellent complementary model to traditional mammalian models in neurodevelopmental and neurodegenerative disease research, as well as in neurobehavioral studies (Table 1). 19 , 20 , 22 , 23 , 24 These include structural and functional similarities between their brain and that of mammals, neurobehavioral parallels with humans, sensitivity to key neurotropic drugs, and the ability to conduct large‐scale, high throughput behavioural analyses even at early developmental stages. 25 , 26 This model organism has been successfully used to study a range of neurobehavioral conditions, including social anxiety, aggression, hyperactivity, bipolar disorder, avoidance and exploration behaviours, defensive response, fear conditioning, learning and memory, cognition, schizophrenia, attention‐deficit/hyperactivity disorder, epilepsy, and the effects of neuroactive drugs. 26 , 27 Notably, in some cases, zebrafish models exhibit behavioural phenotypes that more closely resemble human conditions compared to mouse models. For instance, a zebrafish model of epilepsy with a GABRA1 loss‐of‐function mutation displays fully penetrant generalized seizures at juvenile stages, closely mirroring the human phenotype, whereas the corresponding homozygous knockout mouse model only exhibits a tremor phenotype 28 (Figure 1).
TABLE 1.
Advantages and limitations of zebrafish as an animal model in brain studies.
| Advantages | Limitations |
|---|---|
| Structural and functional similarities with mammalian brain | Lack of some key brain structures, such as cortex |
| Fully sequenced genome that contains the orthologs of 60% to 80% of all genes in humans, including over 82% of disease‐associated genes | Duplicated copies of some human genes |
| Small size, easy breeding and maintenance, high fertility, and rapid life cycle | Different levels of sexual dimorphism due to the absence of sex chromosomes |
| Ex utero embryonic development and optical transparency of early stages | |
| Real‐time imaging of developmental stages | |
| Genetically modifiable and traceable | |
| Amenable to behavioural studies, even during early developmental stages |
FIGURE 1.

Modelling epilepsy in zebrafish. Motion tracks of 5 weeks post‐fertilization epileptic gabra1‐/‐ and control gabra1+/+ fish, 1 second before (–1 sec), at the time of (0 sec), and several seconds after the light exposure (+50 sec). Green circles highlight uncontrolled body movements of the epileptic fish immediately after the light exposure, and the start of a freezing phase characterized by total lack of movement after around 1 minute of seizure, all the while the control fish remains almost unresponsive to light. In this experiment, ZebraBox apparatus was used for motion tracking of zebrafish.
The zebrafish genome underwent a teleost‐specific whole genome duplication event during evolution, leading to a higher number of duplicated genes compared to other vertebrates. As a result, interpreting the phenotypic effects of human genes in this model can be challenging, as gene duplication can produce varying functional outcomes. 16 , 17 To fully assess the impact of a gene on a phenotype, both copies of a duplicated gene with complementary functions often need to be deleted or mutated. However, zebrafish can also be particularly useful for uncovering new gene functions in cases of subfunctionalization, where the two duplicated copies partition the ancestral gene's functions. This can be especially advantageous for studying genes that are essential for survival in mice, where a complete knockout would be lethal. In zebrafish, the presence of duplicated genes allows for the investigation of partial loss‐of‐function effects without causing embryonic lethality, thereby revealing previously unknown roles of these genes in development and disease. Additionally, criteria such as the conservation of the primary gene sequence, expression patterns, and the retention of key protein domains can help identify the duplicated gene copy most closely resembling its human counterpart. 29
Autism spectrum disorder in zebrafish
ASD is one of the most extensively studied groups of NDDs. Key characteristics of ASD include problems with social communication and interaction, and restricted or repetitive behaviours. It affects 1% to 2% of the population, with males being four times more likely to be impacted than females. 30 Both environmental and immune factors, as well as genetic risk factors, have been reported to influence brain development and contribute to ASD. Among these, pathogenic mutations in genes encoding synaptic proteins, such as SHANK3, which regulate synapse formation and function, are strongly associated with the disorder. 13 However, despite advances in identifying high confidence ASD risk genes, the exact mechanisms by which dysfunctional genes contribute to autism phenotype remain unclear. 31
In zebrafish, deficiency in shank3b (one of the SHANK3 orthologs) causes morphological defects, repetitive swimming behaviour, and reduced social interactions, all of which resemble autism‐like features observed in patient. 32 Additionally, the knockdown of shank3a, or syngap1b, which encodes another synaptic protein, results in significant neuronal cell death, delays in brain development, seizure‐like behaviours, and motor deficits. 33 Knocking down chd8, which encodes chromodomain helicase DNA binding protein 8, also results in increased cell proliferation in the brain, macrocephaly, and disruption in gastrointestinal motility, mirroring the phenotypes seen in patients. 34 , 35
Microduplications and microdeletions in a single copy of the human 16p11.2 chromosomal region are tightly associated with NDDs. 31 Zebrafish possess a set of highly active 16p11.2 homolog genes on chromosomes 3 and 12, which are crucial for central nervous system (CNS) development. Knockdown of these genes in zebrafish results in a loss‐of‐function phenotype, with malformation of brain structures. 36 One such gene, kctd13, when overexpressed in zebrafish, causes microcephaly, while its disruption results in macrocephaly due to decreased and increased brain cell proliferation respectively. 37 Additionally, disrupting the orthologs of two other ASD risk genes, CNTNAP2 and DYRK1A, in zebrafish leads to altered brain functions. cntnap2 mutant zebrafish show forebrain GABAergic deficits, a lower seizure threshold, and nighttime hyperactivity, while loss of dyrk1aa function causes behavioural and social impairments resembling ASD phenotypes in humans. 38 , 39
Schizophrenia in zebrafish
Schizophrenia is a developmental neuropsychiatric disorder with a prevalence of around 1%. Symptoms appear gradually, typically from young adulthood. They include cognitive impairment, memory deficit, delusions, hallucinations, and social withdrawal. In addition to neurotransmitter imbalance and environmental or immune risk factors, genetic determinants including common variants, copy number variants, and rare protein‐coding variants also play a significant role in schizophrenia pathogenesis. 40 , 41 , 42 However, the mechanisms through which these variants contribute to the disorder are still poorly understood.
Integrating genome‐wide association studies with ribonucleic acid sequencing data from postmortem brain samples of individuals with schizophrenia led to the identification of a set of putative causal genes, whose functional relevance was assessed in vivo by manipulating their expression levels in zebrafish embryos. Of the five candidate genes tested, three (furin, tsnare1, or cntn4) were found to influence zebrafish brain development, resulting in distinct head size phenotypes that were linked to alterations in cell proliferation or apoptosis. 43
In adult zebrafish, loss of function of the orthologous schizophrenia risk gene znf536 is associated with abnormal brain anatomy, particularly affecting the cerebellum, as well as reduced anxiety‐like behaviour and social interactions. At the larval stage, knockout zebrafish also exhibit growth deficiencies due to a diminished ability to compete for food, compared to their wild‐type siblings. 44 Knockdown of mapk3, an ortholog of a novel SCZ risk gene within the 16p11.2 interval, induced microcephaly in zebrafish. 45 Additionally, two de novo mutations (R1117X and R539W) in SHANK3, primarily associated with ASD, have been linked to the early adulthood onset of schizophrenia, suggesting a shared molecular pathway underlying both disorders. Knocking down both shank3a and shank3b in zebrafish resulted in smaller head and trunk sizes and impaired touch‐evoked responses. 42 , 46 Furthermore, disrupting disc1, the ortholog of a schizophrenia risk gene involved in brain development and neurogenesis in a WNT signalling‐dependent mechanism, caused the formation of a U‐shaped body with truncated tail and early brain morphology abnormalities. 47
Cerebral palsy in zebrafish
CP is another group of NDDs characterized by movement and posture impairments, affecting approximately 0.2% of live births worldwide. The primary cause of CP is damage to the developing brain, typically occurring before or during birth, although postnatal events contribute to at least 10% of cases. While the initial damage is stationary, manifestations change with time, and the growth of the brain and development of the CNS may lead to the changes in the lesion. 48 CP is often diagnosed later, typically between 3 to 5 years of age, despite early signs of the disorder. Common comorbidities associated with CP include intellectual disability, epilepsy, speech impairments, vision and hearing deficiency, and ASD. 49 , 50 , 51
Several factors, including low birthweight, preterm birth, birth asphyxia, and prenatal infection‐related immune factors, are major contributors to CP. However, the significant role of genetic factors is becoming increasingly apparent through genome‐wide association studies and next‐generation sequencing technologies. 52 , 53 The potential pathogenicity of a copy number variation causing the deletion of pdcd6ip was investigated in vivo using zebrafish. Knockdown of this gene led to morphological defects, severe motor control impairment, microcephaly, cardiac oedema, and inability to swim in a straight line, highlighting PDCD6IP as a potential risk gene for NDDs. 49
The first zebrafish model of AP‐4‐deficiency, a known CP‐associated risk gene, was generated by silencing ap4s1, resulting in decreased head size, CNS deformities, cardiac oedema, a curved tail, and significant locomotor impairment. 54 Similarly, the pathogenicity of AGAP1, a regulator of endosomal trafficking with recurrent genetic variations in CP cases, was assessed in vivo using agap1 zebrafish morphants. These animals displayed developmental delays, a curved tail, reduced startle and escape responses, and reduced motility, supporting a potential role for disrupted AGAP1 in the pathology of neurological disorders. 50
Taken together, these data highlight zebrafish as a valuable model for investigating the significance of novel risk genes and exploring the functional mechanisms of known genes associated with NDDs. However, as previously mentioned, genetics is only part of the complex puzzle of NDD risk factors. While research over the past decades has primarily focused on neurons and their networks, recent studies have revealed the involvement of other cellular players in the pathophysiology of NDDs. Among these, non‐neuronal brain cells, known as glia, have emerged as key contributors. Glial cells, which include astrocytes, oligodendrocytes, and microglia, make up about half of the brain's total cell population. While they do not directly participate in neuronal communications, they play crucial roles in developmental processes essential for proper brain maturation and function. 55 , 56
As we explore the increasingly recognized roles of the neuroimmune compartment in brain development, we will focus on microglia, the brain‐resident immune cells that protect neurons from pathogenic events and the consequences of injury by clearing pathogens and cellular debris and will summarize the growing body of evidence linking these cells to the aetiology of NDDs.
MICROGLIA
As described by Rio‐Hortega in 1932, microglia are a unique type of cell uniformly distributed throughout the brain and spinal cord, featuring short extensions from their small cell bodies, that are capable of migration, proliferation, and phagocytosis. 57 Microglia constitute around 15% of the total glial cell population in the CNS. 58 , 59 They are the first responders in the CNS's immune system and play indispensable roles in brain development, homeostasis, and recovery after injury and pathogenic insults. 6 , 60 Unlike neurons, astrocytes, and oligodendrocytes, which derive from the neuroectoderm, microglia originate from myeloid cells of the hematopoietic system. 61 During early development, primitive macrophages that arise from the extra embryonic yolk sac invade the CNS and differentiate locally into microglia. In humans, the first cells showing microglia progenitor features appear at around 3 weeks, 62 while in mice, the seeding of the parenchyma begins around embryonic day 9.5. 63 Microglia then maintain a stable population throughout life, without needing input from bone marrow‐derived progenitors, owing to their self‐renewal and local proliferation capacity. 64 , 65
Remarkably, the early developmental steps of microglia are conserved between zebrafish and mammals at both cellular and molecular levels. In zebrafish, as in mice, microglia arise from yolk sac‐derived primitive macrophages early in development, in a process dependent on pu.1 and irf8. 66 , 67 Similar to their mammalian counterparts, the maintenance of zebrafish microglia relies on Csf1r signalling which is essential for proper macrophage development, 68 , 69 , 70 , 71 and their identity is regulated by transforming growth factor beta (Wittamer lab, manuscript in preparation). These features make the transparent zebrafish embryo an invaluable tool for tracking microglial dynamics and associated events in a vertebrate model, without disrupting the homeostatic state of the CNS 72 (Figure 2).
FIGURE 2.

Fluorescently labelled neurons and microglia in the transparent brain of larval zebrafish.
Microglia function and dysfunction: Implications for neurodevelopmental disorders
In the developing brain, microglia actively control the size of the neural precursor cell pool by balancing cell survival and elimination, achieved through the production of soluble factors and by inducing programmed cell death and/or phagocytosis, respectively. Microglia are also involved in guiding the migration, maturation, and differentiation of neuronal progenitors into functional neurons. 73 , 74 Additionally, they facilitate synaptic pruning, a vital process for the formation of neuronal circuits. 75 , 76 Microglia are also critical for quickly repairing lesions that form at fetal cortical boundaries because of physiological morphogenetic stress, helping to maintain structural integrity as the brain grows. 77 Beyond their interactions with neurons, microglia also communicate with glial cells during brain development, and emerging evidence is beginning to reveal their roles in astrogliogenesis and oligodendrogenesis in vivo. 6 , 78
Given the crucial role of microglia in CNS development and maintenance, it is not surprising that their absence or dysfunction can contribute to neurological disorders. Evidence of this comes from recent findings of rare disorders caused by a complete lack of microglia due to homozygous or bi‐allelic mutations in CSF1R, leading to severe developmental brain defects such as agenesis of the corpus callosum and enlarged ventricles. 79 , 80 Additionally, heterozygous mutations in CSF1R and TREM2, another microglia‐associated gene, cause leukoencephalopathy with axonal spheroids (a neurodegenerative disease) and Nasu‐Hakola disease, respectively. 81 , 82 Interestingly, various environmental factors can also impact microglia function, potentially leading to neurological disorders. For example, maternal immune activation can trigger fetal microglia to undergo morphological and phenotypic changes, potentially causing harmful effects on the offspring's brain. 83 Other risk factors, such as air pollution and prenatal stress, have also been shown to disrupt microglial homeostasis, further increasing the risk of NDDs. 84 , 85
Microglia dysfunction in ASD
Among the various functions of microglia in the developing brain, synaptic pruning has recently gained significant attention, particularly because of its dysregulation being linked to certain forms of NDDs, which may arise from an imbalance between excitatory and inhibitory synaptic signalling. Notably, core microglia genes such as CX3CR1, TREM2, P2Y12, and complement component C4 play key roles in the synaptic pruning process. 6
Emerging evidence suggests that microglia contribute to the pathology of ASD and schizophrenia, mainly by acting as a dysfunctional synaptic modulator. ASD is often associated with increased spine density, likely due to insufficient synaptic pruning by microglia. 86 Postmortem brain studies in patients with ASD revealed significantly lower densities of ramified microglia and reduced levels of TREM2 protein. 6 , 30 Similarly, disrupted microglia‐mediated synapse elimination in Trem2‐deficient mice leads to autism‐like behaviour, 87 while ASD‐related features are also observed in Cx3cr1‐deficient mouse models with impaired synaptic remodelling. 88 In zebrafish, loss‐of‐function mutations in two ASD‐associated genes, dyrk1a and scn1lab, lead to elevated microglia numbers, suggesting a mechanism where dysregulated neurogenesis and synaptic signalling may alter microglia density in the brain. 89 Furthermore, mutations in MEPC2, a gene expressed throughout the CNS, are associated with impaired microglial activity that contributes to the pathogenesis of Rett syndrome, an ASD‐associated NDD. 90 While the specific microglial phenotype in mecp2‐null zebrafish remains to be fully investigated, these animals show abnormalities in locomotor activity and thigmotaxis, 91 along with a dysregulated cytokine profile, all of which resemble Rett syndrome features seen in patients. 92
Microglia dysfunction in schizophrenia
Schizophrenia, in contrast, is characterized by excessive synapse elimination during adolescence and early adulthood. 93 Postmortem cortical tissues from patients with schizophrenia show a significant reduction in synapse density, suggesting that dysregulated microglia‐mediated synaptic pruning may play a role in the pathology. This hypothesis is supported by in vitro studies indicating that microglia‐like cells derived from patients with schizophrenia display excessive engulfment of synaptic structures. 94 Complement component C4, which promotes synapse elimination, has elevated levels in schizophrenia, and C4‐deficient mice show suppressed synaptic pruning. 30 Additionally, C4 copy number variations have been observed in some patients with schizophrenia. 95 Rare genetic variants of CX3CR1 are also associated with an increased risk of schizophrenia. 78 Higher levels of pro‐inflammatory cytokines, resulting from prolonged microglial activation, have been observed in both blood and brain samples of patients with schizophrenia. 96 Furthermore, the enrichment of certain schizophrenia‐associated genes in microglia reinforces the idea that microglia may be involved in the pathogenesis of schizophrenia. 97
Microglia dysfunction in CP
Unlike ASD and schizophrenia, postmortem studies have identified sustained neuroinflammation as a key factor in white matter injury in CP, regardless of the initial cause of damage. Perinatal brain injury is rapidly followed by a glial response involving both microglia and astrocytes, with a peak in microglia accumulation at the lesion site occurring around 2 to 4 days post injury. However, the precise role of microglia in these conditions is not well understood. Research suggests that in the early stages of brain injury in newborn infants, microglia adopt a proinflammatory phenotype characterized by the release of TNF‐α and interleukin‐1β, which initially exacerbates white matter damage. Interestingly, although activated microglia may persist for days or even weeks, at later stages, their inflammation may also contribute to tissue regeneration and repair after injury. 98 Whether these cells ultimately have a neuroprotective or neurotoxic effect in CP remains an open question.
Microglia‐associated neurodevelopmental disorders in zebrafish
Recently, zebrafish have played a key role in illustrating the involvement of dysfunctional microglia in RNASET2‐deficient leukodystrophy, a severe NDD characterized by motor impairment and cognitive decline. Unlike rodent models, rnaset2 mutant zebrafish replicate critical aspects of the human pathology, including hypoactivity at the larval stage, along with white matter lesions and neuroinflammation in the adult brain associated with atypical behaviour and reduced survival. Notably, it was discovered that microglia in rnaset2‐mutant embryos fail to clear cells undergoing neurodevelopmental apoptosis, leading to their accumulation. 99 Replacing dysfunctional microglia with adult marrow‐derived macrophages in this model successfully restored the clearance of apoptotic brain cells, reduced neuroinflammation, and recovered motor activity in the mutant zebrafish. 100
CONCLUDING REMARKS
As small non‐mammal vertebrates, zebrafish are increasingly used to study various human diseases and for rapid screening of genes and drugs. The ability of zebrafish models to replicate the effects of genetic alterations and mimic patient phenotypes, as partly discussed here, makes them a valuable tool for modelling developmental brain diseases. Disruption of genes linked to ASD and schizophrenia in zebrafish results in macrocephaly and microcephaly respectively, along with changes in apoptosis and cell proliferation similar to those seen in patients. Moreover, deficiencies in orthologs of CP risk genes lead to morphological defects and motor impairments in zebrafish. When it comes to the neuroimmune system, zebrafish provide a powerful model in which observing, tracking, and manipulating microglial cells during critical windows of brain development is possible, without disrupting brain homeostasis. This is especially important given the reactive nature of microglia, which complicates their study in petri dish cultures. As demonstrated with the rnaset2‐deficient leukodystrophy model, zebrafish have already provided valuable insights into how microglia contribute to NDDs. Although synaptic pruning in the context of NDDs has yet to be fully explored in this model, a recent study successfully documented microglia‐mediated engulfment of synapses in the zebrafish embryonic brain, highlighting the evolutionary conservation of this process. 101 This observation opens new possibilities for understanding microglia's role in disease aetiology. Despite some potential limitations, such as the abundance of duplicated genes compared to other vertebrates, 16 and possible discrepancies between morphants and mutants due to genetic compensation and transcriptional adaptation, 102 the unique characteristics of zebrafish make it a promising complementary model system for studying NDDs.
FUNDING INFORMATION
This work was supported by the Fonds de la Recherche Scientifique – FNRS under Grant #40013949.
CONFLICT OF INTEREST STATEMENT
None.
Hassani Nia F, Wittamer V. Zebrafish in neurodevelopmental disorders studies: Genetic models and pathological involvement of microglia. Dev Med Child Neurol. 2025;67:1257–1265. 10.1111/dmcn.16317
DATA AVAILABILITY STATEMENT
Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
REFERENCES
- 1. Parenti I, Rabaneda LG, Schoen H, Novarino G. Neurodevelopmental Disorders: From Genetics to Functional Pathways. Trends in Neurosciences. 2020. Aug;43(8):608–21. [DOI] [PubMed] [Google Scholar]
- 2. Young S, González RA, Mullens H, Mutch L, Malet‐Lambert I, Gudjonsson GH. Neurodevelopmental disorders in prison inmates: comorbidity and combined associations with psychiatric symptoms and behavioural disturbance. Psychiatry Research. 2018. Mar;261:109–15. [DOI] [PubMed] [Google Scholar]
- 3. Cainelli E, Bisiacchi P. Neurodevelopmental Disorders: Past, Present, and Future. Children. 2022. Dec 24;10(1):31. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Goodspeed K, Pérez‐Palma E, Iqbal S, Cooper D, Scimemi A, Johannesen KM, et al. Current knowledge of SLC6A1‐related neurodevelopmental disorders. Brain Communications. 2020. Jul 1;2(2):fcaa170. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Lessel D, Zeitler DM, Reijnders MRF, Kazantsev A, Hassani Nia F, Bartholomäus A, et al. Germline AGO2 mutations impair RNA interference and human neurological development. Nat Commun. 2020. Nov 16;11(1):5797. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Lukens JR, Eyo UB. Microglia and Neurodevelopmental Disorders. Annu Rev Neurosci. 2022. Jul 8;45(1):425–45. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Willim J, Woike D, Greene D, Das S, Pfeifer K, Yuan W, et al. Variants in LRRC7 lead to intellectual disability, autism, aggression and abnormal eating behaviors. Nat Commun. 2024. Sep 10;15(1):7909. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Chen Y, Dawes R, Kim HC, Ljungdahl A, Stenton SL, Walker S, et al. De novo variants in the RNU4‐2 snRNA cause a frequent neurodevelopmental syndrome. Nature. 2024. Aug 22;632(8026):832–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Greene D, Thys C, Berry IR, Jarvis J, Ortibus E, Mumford AD, et al. Mutations in the U4 snRNA gene RNU4‐2 cause one of the most prevalent monogenic neurodevelopmental disorders. Nat Med. 2024. Aug;30(8):2165–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Niemi MEK, Martin HC, Rice DL, Gallone G, Gordon S, Kelemen M, et al. Common genetic variants contribute to risk of rare severe neurodevelopmental disorders. Nature. 2018. Oct;562(7726):268–71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Wang W, Corominas R, Lin GN. De novo Mutations From Whole Exome Sequencing in Neurodevelopmental and Psychiatric Disorders: From Discovery to Application. Front Genet. 2019. Apr 3;10:258. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Greene D, Genomics England Research Consortium, Pirri D, Frudd K, Sackey E, Al‐Owain M, et al. Genetic association analysis of 77,539 genomes reveals rare disease etiologies. Nat Med. 2023. Mar;29(3):679–88. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Hassani Nia F, Kreienkamp HJ. Functional Relevance of Missense Mutations Affecting the N‐Terminal Part of Shank3 Found in Autistic Patients. Front Mol Neurosci. 2018. Aug 7;11:268. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Waye MMY, Cheng HY. Genetics and epigenetics of autism: A Review. Psychiatry Clin Neurosci. 2018. Apr;72(4):228–44. [DOI] [PubMed] [Google Scholar]
- 15. Damianidou E, Mouratidou L, Kyrousi C. Research models of neurodevelopmental disorders: The right model in the right place. Front Neurosci. 2022. Oct 20;16:1031075. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Tasnim M, Wahlquist P, Hill JT. Zebrafish: unraveling genetic complexity through duplicated genes. Dev Genes Evol [Internet]. 2024. Jul 30 [cited 2024 Oct 28]; Available from: 10.1007/s00427-024-00720-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Howe K, Clark MD, Torroja CF, Torrance J, Berthelot C, Muffato M, et al. The zebrafish reference genome sequence and its relationship to the human genome. Nature. 2013. Apr 25;496(7446):498–503. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Chen LL, Kim VN. Small and long non‐coding RNAs: Past, present, and future. Cell. 2024. Nov;187(23):6451–85. [DOI] [PubMed] [Google Scholar]
- 19. Tayanloo‐Beik A, Hamidpour SK, Abedi M, Shojaei H, Tavirani MR, Namazi N, et al. Zebrafish Modeling of Autism Spectrum Disorders, Current Status and Future Prospective. Front Psychiatry. 2022. Jul 14;13:911770. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Dougnon G, Matsui H. Modelling Autism Spectrum Disorder (ASD) and Attention‐Deficit/Hyperactivity Disorder (ADHD) Using Mice and Zebrafish. IJMS. 2022. Jul 7;23(14):7550. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Kroll F, Powell GT, Ghosh M, Gestri G, Antinucci P, Hearn TJ, et al. A simple and effective F0 knockout method for rapid screening of behaviour and other complex phenotypes. eLife. 2021. Jan 8;10:e59683. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Chia K, Klingseisen A, Sieger D, Priller J. Zebrafish as a model organism for neurodegenerative disease. Front Mol Neurosci. 2022. Oct 13;15:940484. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Verma R, Raj Choudhary P, Kumar Nirmal N, Syed F, Verma R. Neurotransmitter systems in zebrafish model as a target for neurobehavioural studies. Materials Today: Proceedings. 2022;69:1565–80. [Google Scholar]
- 24. Vaz R, Hofmeister W, Lindstrand A. Zebrafish Models of Neurodevelopmental Disorders: Limitations and Benefits of Current Tools and Techniques. IJMS. 2019. Mar 14;20(6):1296. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Kalueff AV, Stewart AM, Gerlai R. Zebrafish as an emerging model for studying complex brain disorders. Trends in Pharmacological Sciences. 2014. Feb;35(2):63–75. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Mrinalini R, Tamilanban T, Naveen Kumar V, Manasa K. Zebrafish – The Neurobehavioural Model in Trend. Neuroscience. 2023. Jun;520:95–118. [DOI] [PubMed] [Google Scholar]
- 27. Bonan CD, Norton WH. The utility of zebrafish as a model for behavioural genetics. Current Opinion in Behavioral Sciences. 2015. Apr;2:34–8. [Google Scholar]
- 28. Samarut É, Swaminathan A, Riché R, Liao M, Hassan‐Abdi R, Renault S, et al. γ‐Aminobutyric acid receptor alpha 1 subunit loss of function causes genetic generalized epilepsy by impairing inhibitory network neurodevelopment. Epilepsia. 2018. Nov;59(11):2061–74. [DOI] [PubMed] [Google Scholar]
- 29. Kareklas K, Teles MC, Dreosti E, Oliveira RF. Autism‐associated gene shank3 is necessary for social contagion in zebrafish. Molecular Autism. 2023. Jun 30;14(1):23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Fan G, Ma J, Ma R, Suo M, Chen Y, Zhang S, et al. Microglia Modulate Neurodevelopment in Autism Spectrum Disorder and Schizophrenia. IJMS. 2023. Dec 9;24(24):17297. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Sakai C, Ijaz S, Hoffman EJ. Zebrafish Models of Neurodevelopmental Disorders: Past, Present, and Future. Front Mol Neurosci. 2018. Aug 29;11:294. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Xue Liu C, Yang Li C, Chun Hu C, Wang Y, Lin J, Hui Jiang Y, et al. CRISPR/Cas9‐induced shank3b mutant zebrafish display autism‐like behaviors. Molecular Autism. 2018. Dec;9(1):23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Kozol RA, Cukier HN, Zou B, Mayo V, De Rubeis S, Cai G, et al. Two knockdown models of the autism genes SYNGAP1 and SHANK3 in zebrafish produce similar behavioral phenotypes associated with embryonic disruptions of brain morphogenesis. Human Molecular Genetics. 2015. Jul 15;24(14):4006–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Bernier R, Golzio C, Xiong B, Stessman HA, Coe BP, Penn O, et al. Disruptive CHD8 Mutations Define a Subtype of Autism Early in Development. Cell. 2014. Jul;158(2):263–76. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Sugathan A, Biagioli M, Golzio C, Erdin S, Blumenthal I, Manavalan P, et al. CHD8 regulates neurodevelopmental pathways associated with autism spectrum disorder in neural progenitors. Proc Natl Acad Sci USA [Internet]. 2014. Oct 21 [cited 2024 Sep 2];111(42). Available from: 10.1073/pnas.1405266111 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Blaker‐Lee A, Gupta S, McCammon JM, DeRienzo G, Sive H. Zebrafish homologs of 16p11.2, a genomic region associated with brain disorders, are active during brain development, and include two deletion dosage sensor genes. Disease Models & Mechanisms. 2012. Jan 1;dmm.009944. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Golzio C, Willer J, Talkowski ME, Oh EC, Taniguchi Y, Jacquemont S, et al. KCTD13 is a major driver of mirrored neuroanatomical phenotypes of the 16p11.2 copy number variant. Nature. 2012. May;485(7398):363–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Hoffman EJ, Turner KJ, Fernandez JM, Cifuentes D, Ghosh M, Ijaz S, et al. Estrogens Suppress a Behavioral Phenotype in Zebrafish Mutants of the Autism Risk Gene, CNTNAP2. Neuron. 2016. Feb;89(4):725–33. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Kim OH, Cho HJ, Han E, Hong TI, Ariyasiri K, Choi JH, et al. Zebrafish knockout of Down syndrome gene, DYRK1A, shows social impairments relevant to autism. Molecular Autism. 2017. Dec;8(1):50. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Campbell PD, Granato M. Zebrafish as a tool to study schizophrenia‐associated copy number variants. Disease Models & Mechanisms. 2020. Apr 1;13(4):dmm043877. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Demin KA, Meshalkina DA, Volgin AD, Yakovlev OV, De Abreu MS, Alekseeva PA, et al. Developing zebrafish experimental animal models relevant to schizophrenia. Neuroscience & Biobehavioral Reviews. 2019. Oct;105:126–33. [DOI] [PubMed] [Google Scholar]
- 42. Gawel K, Banono NS, Michalak A, Esguerra CV. A critical review of zebrafish schizophrenia models: Time for validation? Neuroscience & Biobehavioral Reviews. 2019. Dec;107:6–22. [DOI] [PubMed] [Google Scholar]
- 43. Fromer M, Roussos P, Sieberts SK, Johnson JS, Kavanagh DH, Perumal TM, et al. Gene expression elucidates functional impact of polygenic risk for schizophrenia. Nat Neurosci. 2016. Nov;19(11):1442–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Kim TY, Roychaudhury A, Kim HT, Choi TI, Baek ST, Thyme SB, et al. Impairments of cerebellar structure and function in a zebrafish KO of neuropsychiatric risk gene znf536. Transl Psychiatry. 2024. Feb 8;14(1):82. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Gusev A, Mancuso N, Won H, Kousi M, Finucane HK, Reshef Y, et al. Transcriptome‐wide association study of schizophrenia and chromatin activity yields mechanistic disease insights. Nat Genet. 2018. Apr;50(4):538–48. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Gauthier J, Champagne N, Lafrenière RG, Xiong L, Spiegelman D, Brustein E, et al. De novo mutations in the gene encoding the synaptic scaffolding protein SHANK3 in patients ascertained for schizophrenia. Proc Natl Acad Sci USA. 2010. Apr 27;107(17):7863–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. De Rienzo G, Bishop JA, Mao Y, Pan L, Ma TP, Moens CB, et al. Disc1 regulates both β‐catenin‐mediated and noncanonical Wnt signaling during vertebrate embryogenesis. FASEB j. 2011. Dec;25(12):4184–97. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. McIntyre S, Goldsmith S, Webb A, Ehlinger V, Hollung SJ, McConnell K, et al. Global prevalence of cerebral palsy: A systematic analysis. Develop Med Child Neuro. 2022. Dec;64(12):1494–506. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Corbett MA, Van Eyk CL, Webber DL, Bent SJ, Newman M, Harper K, et al. Pathogenic copy number variants that affect gene expression contribute to genomic burden in cerebral palsy. npj Genom Med. 2018. Dec 14;3(1):33. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Van Eyk CL, Corbett MA, Frank MSB, Webber DL, Newman M, Berry JG, et al. Targeted resequencing identifies genes with recurrent variation in cerebral palsy. npj Genom Med. 2019. Nov 4;4(1):27. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Gulati S, Sondhi V. Cerebral Palsy: An Overview. Indian J Pediatr. 2018. Nov;85(11):1006–16. [DOI] [PubMed] [Google Scholar]
- 52. Fahey MC, Maclennan AH, Kretzschmar D, Gecz J, Kruer MC. The genetic basis of cerebral palsy. Develop Med Child Neuro. 2017. May;59(5):462–9. [DOI] [PubMed] [Google Scholar]
- 53. Moreno‐De‐Luca A, Ledbetter DH, Martin CL. Genetic insights into the causes and classification of the cerebral palsies. The Lancet Neurology. 2012. Mar;11(3):283–92. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. D'Amore A, Tessa A, Naef V, Bassi MT, Citterio A, Romaniello R, et al. Loss of ap4s1 in zebrafish leads to neurodevelopmental defects resembling spastic paraplegia 52. Ann Clin Transl Neurol. 2020. Apr;7(4):584–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. Jäkel S. Glial Cells and Their Function in the Adult Brain: A Journey through the History of Their Ablation. Frontiers in Cellular Neuroscience. 2017;11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56. Fields RD, Araque A, Johansen‐Berg H, Lim SS, Lynch G, Nave KA, et al. Glial Biology in Learning and Cognition. Neuroscientist. 2014. Oct;20(5):426–31. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57. del Rio‐Hortega, P. (1932) Microglia. In: Penfield, W. , Ed., Cytology & Cellular Pathology of the Nervous System, P.B. Hoeber, New York, 483–534. [Google Scholar]
- 58. Kettenmann H, Kirchhoff F, Verkhratsky A. Microglia: New Roles for the Synaptic Stripper. Neuron. 2013. Jan;77(1):10–8. [DOI] [PubMed] [Google Scholar]
- 59. Mendes MS, Majewska AK. An overview of microglia ontogeny and maturation in the homeostatic and pathological brain. Dowd E, editor. Eur J of Neuroscience. 2021. Jun;53(11):3525–47. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60. Borst K, Dumas AA, Prinz M. Microglia: Immune and non‐immune functions. Immunity. 2021. Oct;54(10):2194–208. [DOI] [PubMed] [Google Scholar]
- 61. Low D, Ginhoux F. Recent advances in the understanding of microglial development and homeostasis. Cellular Immunology. 2018. Aug;330:68–78. [DOI] [PubMed] [Google Scholar]
- 62. Menassa DA, Muntslag TAO, Martin‐Estebané M, Barry‐Carroll L, Chapman MA, Adorjan I, et al. The spatiotemporal dynamics of microglia across the human lifespan. Developmental Cell. 2022. Sep;57(17):2127–2139.e6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63. Ginhoux F, Greter M, Leboeuf M, Nandi S, See P, Gokhan S, et al. Fate Mapping Analysis Reveals That Adult Microglia Derive from Primitive Macrophages. Science. 2010. Nov 5;330(6005):841–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64. Ajami B, Bennett JL, Krieger C, Tetzlaff W, Rossi FMV. Local self‐renewal can sustain CNS microglia maintenance and function throughout adult life. Nat Neurosci. 2007. Dec;10(12):1538–43. [DOI] [PubMed] [Google Scholar]
- 65. Mildner A, Schmidt H, Nitsche M, Merkler D, Hanisch UK, Mack M, et al. Microglia in the adult brain arise from Ly‐6ChiCCR2+ monocytes only under defined host conditions. Nature Neuroscience. 2007. Dec 1;10(12):1544–53. [DOI] [PubMed] [Google Scholar]
- 66. Ferrero G, Mahony CB, Dupuis E, Yvernogeau L, Di Ruggiero E, Miserocchi M, et al. Embryonic Microglia Derive from Primitive Macrophages and Are Replaced by cmyb‐Dependent Definitive Microglia in Zebrafish. Cell Reports. 2018. Jul;24(1):130–41. [DOI] [PubMed] [Google Scholar]
- 67. Shiau CE, Kaufman Z, Meireles AM, Talbot WS. Differential Requirement for irf8 in Formation of Embryonic and Adult Macrophages in Zebrafish. Wen Z, editor. PLoS ONE. 2015. Jan 23;10(1):e0117513. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68. Herbomel P, Thisse B, Thisse C. Zebrafish Early Macrophages Colonize Cephalic Mesenchyme and Developing Brain, Retina, and Epidermis through a M‐CSF Receptor‐Dependent Invasive Process. Developmental Biology. 2001. Oct;238(2):274–88. [DOI] [PubMed] [Google Scholar]
- 69. Kuil LE, Oosterhof N, Ferrero G, Mikulášová T, Hason M, Dekker J, et al. Zebrafish macrophage developmental arrest underlies depletion of microglia and reveals Csf1r‐independent metaphocytes. eLife. 2020. May 5;9:e53403. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70. Ferrero G, Miserocchi M, Di Ruggiero E, Wittamer V. A csf1rb mutation uncouples two waves of microglia development in zebrafish. Development. 2021. Jan 11;148(1):dev194241. [DOI] [PubMed] [Google Scholar]
- 71. Wu S, Xue R, Hassan S, Nguyen TML, Wang T, Pan H, et al. Il34‐Csf1r Pathway Regulates the Migration and Colonization of Microglial Precursors. Developmental Cell. 2018. Sep;46(5):552–563.e4. [DOI] [PubMed] [Google Scholar]
- 72. Montanari A, Wittamer V. Live Imaging and Characterization of Microglia Dynamics in the Zebrafish Embryo. JoVE. 2024. May 17;(207):66533. [DOI] [PubMed] [Google Scholar]
- 73. Smail MA, Lenz KM. Developmental functions of microglia: Impact of psychosocial and physiological early life stress. Neuropharmacology. 2024. Nov;258:110084. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74. Nayak D, Roth TL, McGavern DB. Microglia Development and Function. Annu Rev Immunol. 2014. Mar 21;32(1):367–402. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75. Paolicelli RC, Bolasco G, Pagani F, Maggi L, Scianni M, Panzanelli P, et al. Synaptic Pruning by Microglia Is Necessary for Normal Brain Development. Science. 2011. Sep 9;333(6048):1456–8. [DOI] [PubMed] [Google Scholar]
- 76. De Deus JL, Faborode OS, Nandi S. Synaptic Pruning by Microglia: Lessons from Genetic Studies in Mice. Dev Neurosci. 2024. Sep 12;1–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77. Lawrence AR, Canzi A, Bridlance C, Olivié N, Lansonneur C, Catale C, et al. Microglia maintain structural integrity during fetal brain morphogenesis. Cell. 2024. Feb;187(4):962–980.e19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78. Matuleviciute R, Akinluyi ET, Muntslag TAO, Dewing JM, Long KR, Vernon AC, et al. Microglial contribution to the pathology of neurodevelopmental disorders in humans. Acta Neuropathol. 2023. Nov;146(5):663–83. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79. Oosterhof N, Chang IJ, Karimiani EG, Kuil LE, Jensen DM, Daza R, et al. Homozygous Mutations in CSF1R Cause a Pediatric‐Onset Leukoencephalopathy and Can Result in Congenital Absence of Microglia. The American Journal of Human Genetics. 2019. May;104(5):936–47. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80. Guo L, Bertola DR, Takanohashi A, Saito A, Segawa Y, Yokota T, et al. Bi‐allelic CSF1R Mutations Cause Skeletal Dysplasia of Dysosteosclerosis‐Pyle Disease Spectrum and Degenerative Encephalopathy with Brain Malformation. The American Journal of Human Genetics. 2019. May;104(5):925–35. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81. Paloneva J, Manninen T, Christman G, Hovanes K, Mandelin J, Adolfsson R, et al. Mutations in Two Genes Encoding Different Subunits of a Receptor Signaling Complex Result in an Identical Disease Phenotype. The American Journal of Human Genetics. 2002. Sep;71(3):656–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82. Rademakers, R. , Baker, M. , Nicholson, A. et al. Mutations in the colony stimulating factor 1 receptor (CSF1R) gene cause hereditary diffuse leukoencephalopathy with spheroids. Nat Genet 44, 200–205 (2012). 10.1038/ng.1027. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83. Zawadzka A, Cieślik M, Adamczyk A. The Role of Maternal Immune Activation in the Pathogenesis of Autism: A Review of the Evidence, Proposed Mechanisms and Implications for Treatment. IJMS. 2021. Oct 26;22(21):11516. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84. Yu X, Mostafijur Rahman M, Carter SA, Lin JC, Zhuang Z, Chow T, et al. Prenatal air pollution, maternal immune activation, and autism spectrum disorder. Environment International. 2023. Sep;179:108148. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85. Hayes LN, An K, Carloni E, Li F, Vincent E, Trippaers C, et al. Prenatal immune stress blunts microglia reactivity, impairing neurocircuitry. Nature. 2022. Oct 1;610(7931):327–34. [DOI] [PubMed] [Google Scholar]
- 86. Andoh M, Ikegaya Y, Koyama R. Chapter Nine ‐ Microglia as possible therapeutic targets for autism spectrum disorders. In: Rahman S, editor. Progress in Molecular Biology and Translational Science [Internet]. Academic Press; 2019. p. 223–45. Available from: https://www.sciencedirect.com/science/article/pii/S1877117319301024 [DOI] [PubMed] [Google Scholar]
- 87. Filipello F, Morini R, Corradini I, Zerbi V, Canzi A, Michalski B, et al. The Microglial Innate Immune Receptor TREM2 Is Required for Synapse Elimination and Normal Brain Connectivity. Immunity. 2018. May;48(5):979–991.e8. [DOI] [PubMed] [Google Scholar]
- 88. Zhan Y, Paolicelli RC, Sforazzini F, Weinhard L, Bolasco G, Pagani F, et al. Deficient neuron‐microglia signaling results in impaired functional brain connectivity and social behavior. Nat Neurosci. 2014. Mar;17(3):400–6. [DOI] [PubMed] [Google Scholar]
- 89. Weinschutz Mendes H, Neelakantan U, Liu Y, Fitzpatrick SE, Chen T, Wu W, et al. High‐throughput functional analysis of autism genes in zebrafish identifies convergence in dopaminergic and neuroimmune pathways. Cell Reports. 2023. Mar;42(3):112243. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90. Schafer DP, Heller CT, Gunner G, Heller M, Gordon C, Hammond T, et al. Microglia contribute to circuit defects in Mecp2 null mice independent of microglia‐specific loss of Mecp2 expression. eLife. 2016. Jul 26;5:e15224. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91. Pietri T, Roman AC, Guyon N, Romano SA, Washbourne P, Moens CB, et al. The first mecp2‐null zebrafish model shows altered motor behaviors. Front Neural Circuits [Internet]. 2013. [cited 2024 Sep 3];7. Available from: 10.3389/fncir.2013.00118/abstract [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92. Van Der Vaart M, Svoboda O, Weijts BG, Espín‐Palazón R, Sapp V, Pietri T, et al. Mecp2 regulates tnfa during zebrafish embryonic development and acute inflammation. Disease Models & Mechanisms. 2017. Jan 1;dmm.026922. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93. Hartmann SM, Heider J, Wüst R, Fallgatter AJ, Volkmer H. Microglia‐neuron interactions in schizophrenia. Front Cell Neurosci. 2024. Mar 6;18:1345349. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94. Sellgren CM, Gracias J, Watmuff B, Biag JD, Thanos JM, Whittredge PB, et al. Increased synapse elimination by microglia in schizophrenia patient‐derived models of synaptic pruning. Nat Neurosci. 2019. Mar;22(3):374–85. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95. Sekar A, Bialas AR, De Rivera H, Davis A, Hammond TR, Kamitaki N, et al. Schizophrenia risk from complex variation of complement component 4. Nature. 2016. Feb 11;530(7589):177–83. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96. Koskuvi M, Pörsti E, Hewitt T, Räsänen N, Wu YC, Trontti K, et al. Genetic contribution to microglial activation in schizophrenia. Mol Psychiatry [Internet]. 2024. Mar 22 [cited 2024 Sep 2]; Available from: https://www.nature.com/articles/s41380‐024‐02529‐1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97. Li J, Wang Y, Yuan X, Kang Y, Song X. New insight in the cross‐talk between microglia and schizophrenia: From the perspective of neurodevelopment. Front Psychiatry. 2023. Feb 16;14:1126632. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98. Mallard C, Davidson JO, Tan S, Green CR, Bennet L, Robertson NJ, et al. Astrocytes and microglia in acute cerebral injury underlying cerebral palsy associated with preterm birth. Pediatr Res. 2014. Jan;75(1–2):234–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99. Hamilton N, Rutherford HA, Petts JJ, Isles HM, Weber T, Henneke M, et al. The failure of microglia to digest developmental apoptotic cells contributes to the pathology of RNASET2‐deficient leukoencephalopathy. Glia. 2020. Jul;68(7):1531–45. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100. Rutherford HA, Candeias D, Duncan CJA, Renshaw SA, Hamilton N. Macrophage transplantation rescues RNASET2‐deficient leukodystrophy by replacing deficient microglia in a zebrafish model. Proc Natl Acad Sci USA. 2024. May 21;121(21):e2321496121. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101. Bai Q, Shao E, Ma D, Jiao B, Scheetz SD, Hartnett‐Scott KA, et al. A human Tau expressing zebrafish model of progressive supranuclear palsy identifies Brd4 as a regulator of microglial synaptic elimination. Nat Commun. 2024. Sep 18;15(1):8195. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102. Rossi F, Casano AM, Henke K, Richter K, Peri F. The SLC7A7 Transporter Identifies Microglial Precursors prior to Entry into the Brain. Cell Reports. 2015. May;11(7):1008–17. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
