A Study of Single Nucleotide Polymorphisms of the SLC19A1/RFC1 Gene in Subjects with Autism Spectrum Disorder

The Soluble Folate Receptor in Autism Spectrum Disorder: Relation to Autism Severity and Leucovorin Treatment

Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental disorder with life-long consequences that affects up to 1 in 44 children. Treatment with leucovorin (folinic acid), a reduced form of folate, has been shown to improve symptoms in those with ASD and folate pathway abnormalities in controlled clinical trials. Although soluble folate binding proteins (sFBPs) have been observed in the serum of some patients with ASD, the significance of this finding has not been studied. Here, we present a cohort of ASD patients with sFBPs. These patients had severe ASD and were medically complex. Using baseline controlled open-label methodology and standardized assessments, these patients were found to improve in both core and associated ASD symptoms with leucovorin treatment. No adverse effects were related to leucovorin treatment. This is the first report of the sFBPs in ASD. This study complements ongoing controlled clinical trials and suggests that leucovorin may be effective for children with ASD who are positive for sFBPs. Further, sFBPs might be important biomarkers for treatment response to leucovorin in children with ASD. This study paves the way for further controlled studies for patients with sFBPs.

Modern Biomarkers for Autism Spectrum Disorder: Future Directions

Autism spectrum disorder is an increasingly prevalent neurodevelopmental disorder in the world today, with an estimated 2% of the population being affected in the USA. A major complicating factor in diagnosing, treating, and understanding autism spectrum disorder is that defining the disorder is solely based on the observation of behavior. Thus, recent research has focused on identifying specific biological abnormalities in autism spectrum disorder that can provide clues to diagnosis and treatment. Biomarkers are an objective way to identify and measure biological abnormalities for diagnostic purposes as well as to measure changes resulting from treatment. This current opinion paper discusses the state of research of various biomarkers currently in development for autism spectrum disorder. The types of biomarkers identified include prenatal history, genetics, neurological including neuroimaging, neurophysiologic, and visual attention, metabolic including abnormalities in mitochondrial, folate, trans-methylation, and trans-sulfuration pathways, immune including autoantibodies and cytokine dysregulation, autonomic nervous system, and nutritional. Many of these biomarkers have promising preliminary evidence for prenatal and post-natal pre-symptomatic risk assessment, confirmation of diagnosis, subtyping, and treatment response. However, most biomarkers have not undergone validation studies and most studies do not investigate biomarkers with clinically relevant comparison groups. Although the field of biomarker research in autism spectrum disorder is promising, it appears that it is currently in the early stages of development.

A Latent Gaussian Copula Model for Mixed Data Analysis in Brain Imaging Genetics

Recent advances in imaging genetics make it possible to combine different types of data including medical images like functional magnetic resonance imaging (fMRI) and genetic data like single nucleotide polymorphisms (SNPs) for comprehensive diagnosis of mental disorders. Understanding complex interactions among these heterogeneous data may give rise to a new perspective, while at the same time demand statistical models for their integration. Various graphical models have been proposed for the study of interaction or association networks with continuous, binary, and count data as well as the mixture of them. However, limited efforts have been made for the multinomial case, for instance, SNP data. Our goal is therefore to fill the void by developing a graphical model for the integration of fMRI image and SNP data, which can provide deeper understanding of the unknown neurogenetic mechanism. In this article, we propose a latent Gaussian copula model for mixed data containing multinomial components. We assume that the discrete variable is obtained by discretizing a latent (unobserved) continuous variable and then create a semi-rank based estimator of the graph structure. The simulation results demonstrate that the proposed latent correlation has more steady and accurate performance than several existing methods in detecting graph structure. When applying to a real schizophrenia data consisting of SNP array and fMRI image collected by the Mind Clinical Imaging Consortium (MCIC), the proposed method reveals a set of distinct SNP-brain associations, which are verified to be biologically significant. The proposed model is statistically promising in handling mixed types of data including multinomial components, which can find widespread applications. To promote reproducible research, the R code is available at https://github.com/Aiying0512/LGCM.

CNTNAP2 gene polymorphisms in autism spectrum disorder and language impairment among Bangladeshi children: a case-control study combined with a meta-analysis

Autism spectrum disorder (ASD) is a multifactorial neurodevelopmental disorder characterized by communication deficits, impaired social interactions, repetitive and stereotyped behaviors with restricted interests, and connected with the interaction between environmental factors and genetic vulnerability. CNTNAP2 gene has been extensively investigated for ASD and related neurodevelopment diseases. However, previous studies have resulted in an inconsistent outcome. Based on this fact, we conducted a case-control study followed by a meta-analysis to investigate the association of rs7794745 and rs2710102 polymorphisms with ASD. A total of 216 autistic children and 240 healthy volunteers were recruited, and genotyping was performed using the PCR-RFLP method. We observed that SNP rs7794745 revealed a significantly (p < 0.05) increased association with the development of ASD in children in all genetic models. No significant association was found for rs2710102 with ASD. Besides, rs2710102 exhibited a significant association with language impairment in TC genotype, C allele, and dominant model. From the meta-analysis of both SNPs, we found a significant association in codominant 1, 2, and the dominant model of rs2710102 and codominant 1 and dominant model of rs7794745 with ASD. Our case-control study suggests that rs7794745 polymorphism is associated with ASD, while rs2710102 is correlated with language impairment. Moreover, meta-analysis results indicated the association between both rs7794745 and rs2710102 polymorphisms and ASD.

One Single Nucleotide Polymorphism of the TRPM2 Channel Gene Identified as a Risk Factor in Bipolar Disorder Associates with Autism Spectrum Disorder in a Japanese Population

The transient receptor potential melastatin 2 (TRPM2) is a non-specific cation channel, resulting in Ca²⁺ influx at warm temperatures from 34 °C to 47 °C, thus including the body temperature range in mammals. TRPM2 channels are activated by β-NAD⁺, ADP-ribose (ADPR), cyclic ADPR, and 2′-deoxyadenosine 5′-diphosphoribose. It has been shown that TRPM2 cation channels and CD38, a type II or type III transmembrane protein with ADP-ribosyl cyclase activity, simultaneously play a role in heat-sensitive and NAD⁺ metabolite-dependent intracellular free Ca²⁺ concentration increases in hypothalamic oxytocinergic neurons. Subsequently, oxytocin (OT) is released to the brain. Impairment of OT release may induce social amnesia, one of the core symptoms of autism spectrum disorder (ASD). The risk of single nucleotide polymorphisms (SNPs) and variants of TRPM2 have been reported in bipolar disorder, but not in ASD. Therefore, it is reasonable to examine whether SNPs or haplotypes in TRPM2 are associated with ASD. Here, we report a case-control study with 147 ASD patients and 150 unselected volunteers at Kanazawa University Hospital in Japan. The sequence-specific primer-polymerase chain reaction method together with fluorescence correlation spectroscopy was applied. Of 14 SNPs examined, one SNP (rs933151) displayed a significant p-value (OR = 0.1798, 95% CI = 0.039, 0.83; Fisher’s exact test; p = 0.0196). The present research data suggest that rs93315, identified as a risk factor for bipolar disorder, is a possible association factor for ASD.

Nutritional Status and Symptoms in Preschool Children With Autism Spectrum Disorder: A Two-Center Comparative Study in Chongqing and Hainan Province, China

Objective: The study aimed to compare the nutritional status and symptoms of preschool children with autism spectrum disorder (ASD) from two regions of China, and to analyze the association between nutritional status and symptoms of ASD. Methods: In this cross-sectional study, 738 ASD children and 302 typically developing children (TD) were recruited from Chongqing and Hainan of China. Symptoms of ASD children were evaluated with the Autism Behavior Checklist (ABC), Social Responsiveness Scale (SRS), and Childhood Autism Rating Scale (CARS). Neurodevelopment of ASD children was assessed with the Gesell Developmental Scale (GDS). Nutritional status was evaluated by anthropometric measures, biochemical detection of micronutrients, and providing questionnaire and food frequency questionnaire (FFQ) to caregivers. Results: Comparing ASD children with local TD children, ASD children consumed fewer whole grains, milk and dairy products, beans and soy products, vegetables, and fruits than local TD children in both regions. The serum concentrations of folate, vitamin B12 (VB12), and vitamin D (VD) were consistently lower in ASD children in both regions. Comparing the ASD children between the two regions, the ASD children in Chongqing had significantly higher mean scores of CARS, SRS, and ABC than those in Hainan. The ASD children in Chongqing consumed fewer whole grains, seafood, and fruits than those in Hainan. The serum concentrations of ferritin, vitamin A (VA), VB12, and VD were reduced in the ASD children of Chongqing than those in Hainan, and the ASD children in Chongqing had higher deficiency rates of zinc, ferritin, VA, and VD than those in Hainan. The serum levels of VA, VD, and folate showed a negative association with symptom scores of ASD children. VD and zinc levels had a positive association with the GDS scores of ASD children. Conclusions: ASD children exhibit a higher risk of nutrient deficiencies than neurotypical children, and there are regional differences in the nutritional status of ASD children. Micronutrients VA, VD, folate, and zinc levels were correlated with symptoms and development of ASD children. Therefore, it is essential to provide detailed nutrition evaluation and individualized nutrition interventions for ASD children from different backgrounds.

Linking genetics to epigenetics: The role of folate and folate-related pathways in neurodevelopmental disorders

There is growing evidence that epigenetic dysregulation plays a role in neurodevelopmental disorders. In humans, folate is one of the main donors of the methyl group required for the synthesis of S-adenosylmethionine, which in turn is needed for DNA and histone methylation as key neurodevelopment processes. Folate deficiency during pregnancy has been correlated with neural tube defects and with a higher incidence of neurocognitive and/or neurobehavioral deficits. A similar outcome may be exerted by gene polymorphisms in folate or folate-related pathways. This has been documented by numerous case/control association studies performed on neurodevelopmental disorders such as autism spectrum disorder and attention deficit hyperactivity disorder. In this regard, the folate cycle represents a "perfect model" of how genetics influences epigenetics. Gene variants in folate and folate-related pathways can be considered risk factors for neurodevelopmental disorders and should therefore be assessed by genetic testing in pregnant women. High-risk women should be considered for folate supplementation during pregnancy. Here, we review all published case/control association studies on gene polymorphisms in folate and folate-related pathways performed on neurodevelopmental disorders, provide an overview of neurodevelopment and DNA methylation changes occurring at this time, and describe the biological basis of neurodevelopmental disorders and recent evidence of their epigenetic dysregulation.

Single Nucleotide Polymorphisms in SLC19A1 and SLC25A9 Are Associated with Childhood Autism Spectrum Disorder in the Chinese Han Population

Genetic variants have been implicated in the development of autism spectrum disorder (ASD). Recent studies suggest that solute carriers (SLCs) may play a role in the etiology of ASD. This purpose of this study was to determine the association between single nucleotide polymorphisms (SNPs) in SLC19A1 and SLC25A12 genes with childhood ASD in a Chinese Han population. A total of 201 autistic children and 200 age- and gender-matched healthy controls were recruited. A TaqMan probe-based real-time PCR approach was used to determine genotypes of SNPs corresponding to rs1023159 and rs1051266 in SLC19A1, and rs2056202 and rs2292813 in SLC25A12. Our results showed that both the T/T genotype of rs1051266 (odds ratio (OR) = 1.85, 95% confidence interval (CI) = 1.06-3.23, P = 0.0301) and the T allele (OR = 1.77, 95% CI = 1.07-2.90, P = 0.0249) of rs2292813 were significantly associated with an increased risk of childhood ASD. In addition, the G-C haplotype of rs1023159-rs1051266 in SCL19A1 (OR = 0.71, 95% CI = 0.51-0.98, P = 0.0389) and C-C haplotype of rs2056202-rs2292813 in SLC25A12 (OR = 0.58, 95% CI = 0.35-0.96, P = 0.0325) were associated with decreased risks of childhood ASD. There was no significant association between genotypes and allele frequencies with the severity of the disease. Our study suggests that these genetic variants of SLC19A1 and SLC25A12 may be associated with risks for childhood ASD.