Autism Spectrum Disorder Phenotype Research Articles

Short tandem repeat expansions in cortical layer-specific genes implicate in phenotypic severity and adaptability of autism spectrum disorder.

Short tandem repeats (STRs) are repetitive DNA sequences and highly mutable in various human disorders. While the involvement of STRs in various genetic disorders has been extensively studied, their role in autism spectrum disorder (ASD) remains largely unexplored. In this study, we aimed to investigate genetic association of STR expansions with ASD using whole genome sequencing (WGS) and identify risk loci associated with ASD phenotypes. We analyzed WGS data of 634 ASD families and performed genome-wide evaluation for 12,929 STR loci. We found rare STR expansions that exceeded normal repeat lengths in autism cases compared to unaffected controls. By integrating single cell RNA and ATAC sequencing datasets of human postmortem brains, we prioritized STR loci in genes specifically expressed in cortical development stages. A deep learning method was used to predict functionality of ASD-associated STR loci. In ASD cases, rare STR expansions predominantly occurred in early cortical layer-specific genes involved in neurodevelopment, highlighting the cellular specificity of STR-associated genes in ASD risk. Leveraging deep learning prediction models, we demonstrated that these STR expansions disrupted the regulatory activity of enhancers and promoters, suggesting a potential mechanism through which they contribute to ASD pathogenesis. We found that individuals with ASD-associated STR expansions exhibited more severe ASD phenotypes and diminished adaptability compared to non-carriers. Short tandem repeat expansions in cortical layer-specific genes are associated with ASD and could potentially be a risk genetic factor for ASD. Our study is the first to show evidence of STR expansion associated with ASD in an under-investigated population.

Establishment of a two-hit mouse model of environmental factor induced autism spectrum disorder

Autism spectrum disorder (ASD) is a group of developmental diseases characterized by social dysfunction and repetitive stereotype behaviors. Besides genetic mutations, environmental factors play important roles in the development of ASD. Valproic acid (VPA) is widely used for modeling environmental factor induced ASD in rodents. However, traditional VPA modeling is low-in-efficiency and the phenotypes often vary among different batches of experiments. To optimize this ASD-modeling method, we tested “two-hit” hypothesis by single or double exposure of VPA and poly:IC at the critical time points of embryonic and postnatal stage. The autistic-like behaviors of mice treated with two-hit schemes (embryonic VPA plus postnatal poly:IC, embryonic poly:IC plus postnatal VPA, embryonic VPA plus poly: IC, or postnatal VPA plus poly:IC) were compared with mice treated with traditional VPA protocol. The results showed that all single-hit and two-hit schemes produced core ASD phenotypes as VPA single treatment did. Only one group, namely, mice double-hit by VPA and poly:IC simultaneously at E12.5 showed severe impairment of social preference, social interaction and ultrasonic communication, as well as significant increase of grooming activity and anxiety-like behaviors, in comparation with mice treated with the traditional VPA protocol. These data demonstrated that embryonic two-hit of VPA and poly:IC is more efficient in producing ASD phenotypes in mice than the single-hit of VPA, indicating this two-hit scheme could be utilized for modeling environmental factors induced ASD.

Characterization of a Clinically and Biologically Defined Subgroup of Patients with Autism Spectrum Disorder and Identification of a Tailored Combination Treatment

Autism spectrum disorder (ASD) is a heterogeneous group of neurodevelopmental disorders (NDDs) with a high unmet medical need. The diagnosis of ASD is currently based on behavior criteria, which overlooks the diversity of genetic, neurophysiological, and clinical manifestations. Failure to acknowledge such heterogeneity has hindered the development of efficient drug treatments for ASD and other NDDs. DEPI (Databased Endophenotyping Patient Identification) is a systems biology, multi-omics, and machine learning-driven platform enabling the identification of subgroups of patients with NDDs and the development of patient-tailored treatments. In this study, we provide evidence for the validation of a first clinically and biologically defined subgroup of patients with ASD identified by DEPI, ASD Phenotype 1 (ASD-Phen1). Among 313 screened patients with idiopathic ASD, the prevalence of ASD-Phen1 was observed to be ~24% in 84 patients who qualified to be enrolled in the study. Metabolic and transcriptomic alterations differentiating patients with ASD-Phen1 were consistent with an over-activation of NF-κB and NRF2 transcription factors, as predicted by DEPI. Finally, the suitability of STP1 combination treatment to revert such observed molecular alterations in patients with ASD-Phen1 was determined. Overall, our results support the development of precision medicine-based treatments for patients diagnosed with ASD.

Autism spectrum disorder profiles in RASopathies: Asystematic review.

RASopathies are associated with an increased risk of autism spectrum disorder (ASD). For neurofibromatosis type 1 (NF1) there is ample evidence for this increased risk, while for other RASopathies this association has been studied less. No specific ASD profile has been delineated so far for RASopathies or a specific RASopathy individually. We conducted a systematic review to investigate whether a specific RASopathy is associated with a specific ASD profile, or if RASopathies altogether have a distinct ASD profile compared to idiopathic ASD (iASD). We searched PubMed, Web of Science, and Open Grey for data about ASD features in RASopathies and potential modifiers. We included 41 articles on ASD features in NF1, Noonan syndrome (NS), Costello syndrome (CS), and cardio-facio-cutaneous syndrome (CFC). Individuals with NF1, NS, CS, and CFC on average have higher ASD symptomatology than healthy controls and unaffected siblings, though less than people with iASD. There is insufficient evidence for a distinct ASD phenotype in RASopathies compared to iASD or when RASopathies are compared with each other. We identified several potentially modifying factors of ASD symptoms in RASopathies. Our systematic review found no convincing evidence for a specific ASD profile in RASopathies compared to iASD, or in a specific RASopathy compared to other RASopathies. However, we identified important limitations in the research literature which may also account for this result. These limitations are discussed and recommendations for future research are formulated.

Dysregulation of mTOR signaling mediates common neurite and migration defects in both idiopathic and 16p11.2 deletion autism neural precursor cells.

Autism spectrum disorder (ASD) is defined by common behavioral characteristics, raising the possibility of shared pathogenic mechanisms. Yet, vast clinical and etiological heterogeneity suggests personalized phenotypes. Surprisingly, our iPSC studies find that six individuals from two distinct ASD subtypes, idiopathic and 16p11.2 deletion, have common reductions in neural precursor cell (NPC) neurite outgrowth and migration even though whole genome sequencing demonstrates no genetic overlap between the datasets. To identify signaling differences that may contribute to these developmental defects, an unbiased phospho-(p)-proteome screen was performed. Surprisingly despite the genetic heterogeneity, hundreds of shared p-peptides were identified between autism subtypes including the mTOR pathway. mTOR signaling alterations were confirmed in all NPCs across both ASD subtypes, and mTOR modulation rescued ASD phenotypes and reproduced autism NPC-associated phenotypes in control NPCs. Thus, our studies demonstrate that genetically distinct ASD subtypes have common defects in neurite outgrowth and migration which are driven by the shared pathogenic mechanism of mTOR signaling dysregulation.

The autism spectrum disorder phenotype in children with tuberous sclerosis complex: A systematic review and meta-analysis.

https://onlinelibrary.wiley.com/doi/10.1111/dmcn.15307

Exploring the presence of a sex-specific phenotype of autism spectrum disorder in a random cohort of males and females: a retrospective case note service audit

Purpose Recent research has proposed a specific female phenotype within autism spectrum disorder (ASD). It suggests females exhibit differences in social communication styles with higher levels of camouflaging and compensatory strategies, as well as variance in restrictive repetitive behaviours (RRBs); however, many existing studies have been based on either small, disproportionate or child and adolescent samples, leaving questions about the specific phenotype. This study aims to explore the sex difference and phenotype in a clinic sample of individuals diagnosed with autism. Design/methodology/approach A service evaluation of sex/ gender differences on 150 historical ASD assessment reports (75 males, 75 females) using a 103-item questionnaire developed from a quantitative review of existing literature was undertaken. Findings Females camouflaged more significantly than males in five different areas (thinking how to act next, preparing conversation in advance, making lists of prompts/social responses, wearing a mask/acting, less monotone voice); however, these were not maintained in post-analysis correction. Originality/value This study points the evidence towards a different phenotype of Autism that is more common in women than men rather than a unique female phenotype.

Structural models of genome-wide covariance identify multiple common dimensions in autism.

Common genetic variation has been associated with multiple phenotypic features in Autism Spectrum Disorder (ASD). However, our knowledge of shared genetic factor structures contributing to this highly heterogeneous phenotypic spectrum is limited. Here, we developed and implemented a structural equation modelling framework to directly model genomic covariance across core and non-core ASD phenotypes, studying autistic individuals of European descent with a case-only design. We identified three independent genetic factors most strongly linked to language performance, behaviour and developmental motor delay, respectively, studying an autism community sample (N = 5331). The three-factorial structure was largely confirmed in independent ASD-simplex families (N = 1946), although we uncovered, in addition, simplex-specific genetic overlap between behaviour and language phenotypes. Multivariate models across cohorts revealed novel associations, including links between language and early mastering of self-feeding. Thus, the common genetic architecture in ASD is multi-dimensional with overarching genetic factors contributing, in combination with ascertainment-specific patterns, to phenotypic heterogeneity.

Novel and known minor alleles of CNTNAP2 gene variants are associated with comorbidity of intellectual disability and epilepsy phenotypes: a case-control association study reveals potential biomarkers.

Neurodevelopmental disorders are heterogeneous due to underlying multiple shared genetic pathways and risk factors. Intellectual disability, epilepsy and autism spectrum disorder phenotypes overlap which indicates the diverse effects of common genes. Recent studies suggested the probable contribution of CNTNAP2 gene polymorphisms to the comorbidity of these neurological conditions. This study was conducted to investigate the role of CNTNAP2 polymorphisms rs147815978 (G>T) and rs2710102 (A>G) as a risk factor for comorbidity of intellectual disability and epilepsy in a group of 345 individuals including 170 patients and 175 healthy controls recruited from various ethnic groups of Pakistani population. Our case-control study group was genotyped by tetra primer ARMS-PCR technique and results were analysed to know the effects of CNTNAP2 rs147815978 (G>T) and rs2710102 (A>G) polymorphisms in the group. The frequency of risk allele T (rs147815978) and risk allele G (rs2710102) for homozygous recessive genotypes (TT/GG) in our study group was 36.47% while odds ratios for risk allele T (rs147815978) was 5.45 (3.90-7.61: 95% CI, P = 0.000) and that for risk allele G (rs2710102) was 2.39 (1.76-3.24: 95% CI, P = 0.0001). Homozygous recessive genotypes (TT/GG) appeared only in cases and not in control group which indicated these as suspected risk genotypes and the significant association (p < 0.05%) of CNTNAP2 gene polymorphisms rs147815978 (G>T) and rs2710102 (A>G) with co-occurrence of intellectual disability and epilepsy phenotypes in our study group which is in HWE (χ2 = 174, P < 0.0001). Logistic regression analysis shows additive (p < 0.0001) and multiplicative (p < 0.001) models which confirms significant association of both the polymorphisms in our data, which are closely located on same haplotype (D' = -0.168). We propose that CNTNAP2 rs147815978 (G>T) and rs2710102 (A>G) polymorphisms are possible risk loci for overlapping neurodevelopmental disorders in Pakistani population. We propose the role of a previously reported common SNP rs2710102 (A>G) with a rarely reported novel SNP rs147815978 (G>T) for CNTNAP2 gene association with neurodevelopmental disorders in our data. Our study has expanded the knowledge of CNTNAP2 gene polymorphisms as probable biomarkers for susceptibility of co-occurrence of intellectual disability and epilepsy phenotypes in Pakistani population. We hope that our study will open new horizons of CNTNAP2 gene variants research to cure the neurological conditions in Pakistani population where consanguinity is a tradition and prevalence of neurodevelopmental disorders has increased from 1 to 2% during last 5 years.

Autism spectrum disorder in ICD-11-a critical reflection of its possible impact on clinical practice and research.

This perspective article compares and contrasts the conceptualization of Autism Spectrum Disorder (ASD) in ICD-11 and DSM-5. By guiding the user through the ICD-11 text, it is argued that, in contrast to DSM-5, ICD-11 allows a high variety in symptom combinations, which results in an operationalization of ASD that is in favor of an extreme diverse picture, yet possibly at the expense of precision, including unforeseeable effects on clinical practice, care, and research. The clinical utility is questionable as this conceptualization can hardly be differentiated from other mental disorders and autism-like traits. It moves away from an observable, behavioral, and neurodevelopmental disorder to a disorder of inner experience that can hardly be measured objectively. It contains many vague and subjective concepts that lead to non-falsifiable diagnoses. This bears a large danger of false positive diagnoses, of further increased prevalence rates, limitations of access to ASD-specific services and of increasing the non-specificity of treatments. For research, the hypothesis is that the specificity of ASD will be reduced and this will additional increase the already high heterogeneity with the effect that replication of studies will be hampered. This could limit our understanding of etiology and biological pathways of ASD and bears the risk that precision medicine, i.e., a targeted approach for individual treatment strategies based on precise diagnostic markers, is more far from becoming reality. Thus, a more precise, quantitative description and more objective measurement of symptoms are suggested that define the clinical ASD phenotype. Identification of core ASD subtypes/endophenotypes and a precise description of symptoms is the necessary next step to advance diagnostic classification systems. Therefore, employing a more finely grained, objective, clinical symptom characterization which is more relatable to neurobehavioral concepts is of central significance.

The Impact of Microglia on Neurodevelopment and Brain Function in Autism.

Microglia, as one of the main types of glial cells in the central nervous system (CNS), are widely distributed throughout the brain and spinal cord. The normal number and function of microglia are very important for maintaining homeostasis in the CNS. In recent years, scientists have paid widespread attention to the role of microglia in the CNS. Autism spectrum disorder (ASD) is a highly heterogeneous neurodevelopmental disorder, and patients with ASD have severe deficits in behavior, social skills, and communication. Most previous studies on ASD have focused on neuronal pathological changes, such as increased cell proliferation, accelerated neuronal differentiation, impaired synaptic development, and reduced neuronal spontaneous and synchronous activity. Currently, more and more research has found that microglia, as immune cells, can promote neurogenesis and synaptic pruning to maintain CNS homeostasis. They can usually reduce unnecessary synaptic connections early in life. Some researchers have proposed that many pathological phenotypes of ASD may be caused by microglial abnormalities. Based on this, we summarize recent research on microglia in ASD, focusing on the function of microglia and neurodevelopmental abnormalities. We aim to clarify the essential factors influenced by microglia in ASD and explore the possibility of microglia-related pathways as potential research targets for ASD.

Knockdown of the Non-canonical Wnt Gene Prickle2 Leads to Cerebellar Purkinje Cell Abnormalities While Cerebellar-Mediated Behaviors Remain Intact.

Autism spectrum disorders (ASD) involve brain wide abnormalities that contribute to a constellation of symptoms including behavioral inflexibility, cognitive dysfunction, learning impairments, altered social interactions, and perceptive time difficulties. Although a single genetic variation does not cause ASD, genetic variations such as one involving a non-canonical Wnt signaling gene, Prickle2, has been found in individuals with ASD. Previous work looking into phenotypes of Prickle2 knock-out (Prickle2-/-) and heterozygous mice (Prickle2-/+) suggest patterns of behavior similar to individuals with ASD including altered social interaction and behavioral inflexibility. Growing evidence implicates the cerebellum in ASD. As Prickle2 is expressed in the cerebellum, this animal model presents a unique opportunity to investigate the cerebellar contribution to autism-like phenotypes. Here, we explore cerebellar structural and physiological abnormalities in animals with Prickle2 knockdown using immunohistochemistry, whole-cell patch clamp electrophysiology, and several cerebellar-associated motor and timing tasks, including interval timing and eyeblink conditioning. Histologically, Prickle2-/- mice have significantly more empty spaces or gaps between Purkinje cells in the posterior lobules and a decreased propensity for Purkinje cells to fire action potentials. These structural cerebellar abnormalities did not impair cerebellar-associated behaviors as eyeblink conditioning and interval timing remained intact. Therefore, although Prickle-/- mice show classic phenotypes of ASD, they do not recapitulate the involvement of the adult cerebellum and may not represent the pathophysiological heterogeneity of the disorder.

Validating Clinical Exome Sequencing (CES) Test for Copy Number Variation (CNV) Analysis in Patients with Autism Spectrum Disorder

A routine methodologies to detect germline copy number variants (CNVs) are ArrayCGH, and SNParray, while clinical exome sequencing (CES) it is not a standard methods used in clinical settings. This study aims to investigate the efficiency of CNVs identification by CES in the diagnosis of Autism spectrum disorder (ASD) based on a Italian cohort. In this cohort study, 50 patients with ASD diagnosis were recruited for ASD screening. Simultaneous CNVs and single nucleotide variation (SNV) analysis was conducted to identify the anomalies that can cause ASD phenotype. A total of 13 patients were identified with a causative CNVs among 15 (86.67%) SNP array positive patients. Showing that CES data can be used for detecting clinically relevant CNVs with high sensitivity for use in clinical diagnostic settings.

Treatment of autism spectrum disorder by regulating neurotransmitters and modifying genes

Autism spectrum disorder (ASD) is a neurological and developmental disorder, which has many underlying causes, making it much more challenging to find an appropriate treatment to cure. It has been found that ASD is related to a wide variety of neurochemical changes, including GABA, oxytocin, and several monoamine neurotransmitters such as dopamine, norepinephrine, and serotonin. Since ASD is heterogeneous, precise technology such as PET, LP, iEEG, rs-fMRIs, and MRS had been emerged to discover the site of illness. It requires a persistent effort since the ASD phenotype is invertible instead of unchanged, which will be explained soon. Until now, only genetic modified virus (rAAV) have so far successfully incorporated with transduction and gene expression in vivo. However, whether the presence of neutralizing circulating antibodies will preclude intravenous administration is unsure. Instead of systemic delivery, intrathecal administration is discovered as a substitute, which can solve the problem and have advanced to a clinical trial. More gene therapies are hypothesized, for instance, using rAAV for gene replacement, ASOs for RNA knockdown, and CRISPR/Cas9 for gene editing. Unfortunately, these gene therapies still have a long way to go to overcome the restrictions. As a result, this research will analyze the different treatments for the ASD.

Flutamide Alters Markers of Inflammation and Oxidative stress in Experimental Model of Autism

Autism spectrum disorder (ASD) is a neurodevelopmental disorder withcomplex etiology and phenotypes. Many clinical and pre-clinical study have demonstrated the association of propionic acid (PPA) with ASD. This study evaluates the potential effect of flutamide (2mg/kg and 4mg/kg, ip) in PPA induced ASD phenotype. PPA (250 mg/kg, po) was administered to Albino Wistar rats from post-natal day (PND) 21st to 23rd to induce ASD like neurobehavioral and neurobiochemical alterations. Animals were experimented for behavioral (open field, hole board apparatus, grooming) and biochemical parameters (TNF-α, IL-6, TBARS, and GSH). Post-natal PPA exposure resulted in hyperlocomotion, decreased exploratory activity as well as increased repetitive behavior in animals. Flutamide (2mg/kg and 4mg/kg, ip) administration rectifiedpost-natal PPA exposed behavioral and biochemical alterations in animals.

Cord Blood Metabolite Profiles and Their Association with Autistic Traits in Childhood.

Autism Spectrum Disorder (ASD) is a diverse neurodevelopmental condition. Gene-environmental interactions in early stages of life might alter metabolic pathways, possibly contributing to ASD pathophysiology. Metabolomics may serve as a tool to identify underlying metabolic mechanisms contributing to ASD phenotype and could help to unravel its complex etiology. In a population-based, prospective cohort study among 783 mother-child pairs, cord blood serum concentrations of amino acids, non-esterified fatty acids, phospholipids, and carnitines were obtained using liquid chromatography coupled with tandem mass spectrometry. Autistic traits were measured at the children's ages of 6 (n = 716) and 13 (n = 648) years using the parent-reported Social Responsiveness Scale. Lower cord blood concentrations of SM.C.39.2 and NEFA16:1/16:0 were associated with higher autistic traits among 6-year-old children, adjusted for sex and age at outcome. After more stringent adjustment for confounders, no significant associations of cord blood metabolites and autistic traits at ages 6 and 13 were detected. Differences in lipid metabolism (SM and NEFA) might be involved in ASD-related pathways and are worth further investigation.

Differential cell cycle checkpoint evasion by PTEN germline mutations associated with dichotomous phenotypes of cancer versus autism spectrum disorder.

Individuals with a PTEN germline mutation receive the molecular diagnosis of PTEN hamartoma tumor syndrome (PHTS). PHTS displays a complex spectrum of clinical phenotypes including harmartomas, predisposition to cancers, and autism spectrum disorder (ASD). Clear-cut genotype-phenotype correlations are yet to be established due to insufficient information on the PTEN function being impacted by mutations. To fill this knowledge gap, we compared functional impacts of two selected missense PTEN mutant alleles, G132D and M134R, each respectively being associated with distinct clinical phenotype, ASD or thyroid cancer without ASD using gene-edited human induced pluripotent stem cells (hiPSCs). In homozygous hiPSCs, PTEN expression was severely reduced by M134R mutation due to shortened protein half-life. G132D suppressed PTEN expression to a lesser extent than Μ134R mutation without altering protein half-life. When challenged with γ-irradiation, G132D heterozygous cells exited radiation-induced G2 arrest earlier than wildtype and M134R heterozygous hiPSCs despite the similar DNA damage levels as the latter two. Immunoblotting analyses suggested that γ-irradiation induced apoptosis in G132D heterozygous cells to lesser degrees than in the hiPSCs of other genotypes. These data suggest that ASD-associated G132D allele promotes genome instability by premature cell cycle reentry with incomplete DNA repair.

Autism spectrum disorder detection using variable frequency complex demodulation of the electroretinogram

The early diagnosis of neurodevelopmental conditions such as autism spectrum disorder (ASD), is an unmet need. One difficulty is the identification of a biological signal that relates to the ASD phenotype. The electroretinogram (ERG) waveform has been identified as a possible signal that could categorize neurological conditions such as ASD. The ERG waveform is derived from the electrical activity of photoreceptors and retinal neurons in response to a brief flash of light and provides an indirect 'window' into the central nervous system. Traditionally, the waveform is analyzed in the time-domain, but more recently time-frequency spectrum (TFS) analysis of ERG has been successfully carried out using discrete wavelet transformation (DWT) to characterize the morphological features of the signal. In this study, we propose the use of a high resolution TFS technique, namely variable frequency complex demodulation (VFCDM), to decompose the ERG waveform based on two signal flash strengths to build machine learning (ML) models to categorize ASD. ERG waveforms from N = 217 subjects (71 ASD, 146 control), at two different flash strengths, 446 and 113 Troland seconds (Td.s), from both right and left eyes were included. We analyzed the raw ERG waveforms using DWT and VFCDM. We computed features from the TFSs and trained ML models such as Random Forest, Gradient Boosting, Support Vector Machine to classify ASD from controls. ML models were validated using a subject independent validation strategy, and we found that the ML models with VFCDM features outperformed models using the DWT, achieving an area under the receiver operating characteristics curve of 0.90 (accuracy = 0.81, sensitivity = 0.85, specificity = 0.78). We found that the higher frequency range (80–300 Hz) included more relevant information for classifying ASD compared to the lower frequencies. We also found that the stronger flash strength of 446 Td.s in the right eye provided the best classification result which supports VFCDM analysis of the ERG waveform as a potential tool to aid in the identification of the ASD phenotype.

Molecular and Cellular Insights: A Focus on Glycans and the HNK1 Epitope in Autism Spectrum Disorder.

Autism Spectrum Disorder (ASD) is a synaptic disorder with a GABA/glutamate imbalance in the perineuronal nets and structural abnormalities such as increased dendritic spines and decreased long distance connections. Specific pregnancy disorders significantly increase the risk for an ASD phenotype such as preeclampsia, preterm birth, hypoxia phenomena, and spontaneous miscarriages. They are associated with defects in the glycosylation-immune placental processes implicated in neurogenesis. Some glycans epitopes expressed in the placenta, and specifically in the extra-villous trophoblast also have predominant functions in dendritic process and synapse function. Among these, the most important are CD57 or HNK1, CD22, CD24, CD33 and CD45. They modulate the innate immune cells at the maternal-fetal interface and they promote foeto-maternal tolerance. There are many glycan-based pathways of immunosuppression. N-glycosylation pathway dysregulation has been found to be associated with autoimmune-like phenotypes and maternal-autoantibody-related (MAR) autism have been found to be associated with central, systemic and peripheric autoimmune processes. Essential molecular pathways associated with the glycan-epitopes expression have been found to be specifically dysregulated in ASD, notably the Slit/Robo, Wnt, and mTOR/RAGE signaling pathways. These modifications have important effects on major transcriptional pathways with important genetic expression consequences. These modifications lead to defects in neuronal progenitors and in the nervous system's implementation specifically, with further molecular defects in the GABA/glutamate system. Glycosylation placental processes are crucial effectors for proper maternofetal immunity and endocrine/paracrine pathways formation. Glycans/ galectins expression regulate immunity and neurulation processes with a direct link with gene expression. These need to be clearly elucidated in ASD pathophysiology.

Finding a Proper Valproic Acid-Based Autism Spectrum Disorder Model in Zebrafish: Early and Long-term Neurobehavioral Studies

Background: Valproic acid (VPA), which is often used to treat epilepsy, causes a variety of neurobehavioral impairments that closely resemble the phenotype of autism spectrum disorder (ASD) in prenatally exposed individuals. Although the neurobehavioral effects of extremely low concentrations of VPA have received limited research attention, several investigations have shown that the impact of VPA is connected with the concentration and exposure length. Objectives: In the current study, the aim was to find the lowest dose of VPA with the fewest side effects to induce behavioral phenotypes related to ASD in zebrafish. Methods: Zebrafish embryos were first exposed to various concentrations of VPA (i.e., 1, 5, 15, 25, 48, and 75 µM) for 120 hours. Then, 42 days after conception, the survival rate, quality of hatching, and presence of deformity were assessed. Afterward, a 1 µM VPA was chosen based on observations, and behavioral experiments were carried out at 7, 21, and 42 days after fertilization (dpf). Additionally, 7dpf gene expression analysis was evaluated. Results: According to the obtained findings, behavioral abnormalities resembling ASD were induced in 7 and 21 dpf but not in 42 dpf after 120 hours of exposure to 1µM VPA. Real-time analysis in 7 dpf revealed significant changes in a number of genes linked to ASD, including lrp6, gsk3beta, chd8, and ctnnb. Conclusions: In conclusion, 120 hours of exposure of zebrafish embryos to 1 µM of VPA might produce suitable VPA induces autism-like behavior models in zebrafish larvae to research early and long-term neurobehavioral and gene expression alterations. Studies on drug development might adopt this approach.