Skip to main content
Scientific Reports logoLink to Scientific Reports
. 2024 Nov 16;14:28333. doi: 10.1038/s41598-024-79994-9

Impact of gene polymorphisms involved in the vitamin D metabolic pathway on the susceptibility to and severity of autism spectrum disorder

Chanarong Saechua 1, Tewarit Sarachana 2, Weerasak Chonchaiya 3, Pon Trairatvorakul 3, Wasana Yuwattana 4, Chayanit Poolcharoen 1, Montira Sangritdech 5, Thanit Saeliw 2, Marlieke Lisanne van Erp 4, Siriporn Sangsuthum 2, Natthakul Akarapredee 1, Sayanit Tipnoppanon 4, Rattanaporn Sukprasong 6,7, Patompong Satapornpong 8, Chalirmporn Atasilp 9, Chonlaphat Sukasem 6,7,, Natchaya Vanwong 2,
PMCID: PMC11569182  PMID: 39550459

Abstract

This study explores the association between genetic variations in the vitamin D pathway and autism spectrum disorder (ASD) susceptibility and severity in Thai children. A total of 276 participants, including 169 children with ASD and 107 healthy controls, were recruited. Genotyping of vitamin D pathway genes (CYP2R1, CYP27B1, GC, and VDR) was conducted using TaqMan-based real-time PCR, while serum vitamin D levels were measured by chemiluminescence immunoassay. ASD severity was assessed via the Childhood Autism Rating Scale, 2nd Edition. Results reveal that the VDR gene (ApaI) rs7975232 is linked to a reduced ASD risk. In contrast, the GC gene rs7041 (A > C) polymorphism shows a significant association with increased ASD risk and severity, particularly in individuals with both the GC gene polymorphism and vitamin D insufficiency. Additionally, there was a higher prevalence of the GC1s isoform and GC1s-GC1s haplotype in children with ASD, associated with ASD severity. This study identified that individuals possessing GC rs7041 C alleles and the GC1s genotype (rs7041C/rs4588G) exhibit an increased susceptibility to and more severity of ASD. Further studies with larger cohorts are essential to fully understand these genetic polymorphisms’ roles.

Supplementary Information

The online version contains supplementary material available at 10.1038/s41598-024-79994-9.

Keywords: Autism spectrum disorder, Vitamin D gene polymorphisms, Thai Children

Subject terms: Genetics, Neuroscience, Diseases, Health care, Medical research, Molecular medicine, Risk factors

Introduction

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder characterized by repetitive behaviors, communication and social interaction deficiencies, and language impairments1,2. During the past two decades, the prevalence of ASD has significantly increased both in Thailand and worldwide, impacting the global economy and health in significant ways35. However, the etiology of ASD remains unknown. Most believe that ASD is influenced by several risk factors, including genetic and environmental factors6. Previous research explains the link between vitamin D and ASD, and various hypotheses have emerged. The research indicates that vitamin D plays a role in DNA repair, which helps prevent mutations and reduce the risk of ASD7. Furthermore, vitamin D plays a vital role in producing antioxidants such as glutathione and superoxide dismutase8, which help reduce neuroinflammation commonly observed in individuals with ASD9,10. Numerous autoimmune phenomena have been documented over decades in individuals with ASD11. Vitamin D is known to regulate inflammatory processes and autoimmune responses12, suggesting it may help reduce both inflammation and autoimmune activity. Additionally, vitamin D stimulates brain cells to produce growth factors, such as nerve growth factor (NGF). Due to its neurotrophic and neuroprotective effects, vitamin D is believed to promote neuronal growth and may help slow the progression of neurodegenerative diseases13. Previous studies have shown that a lack of vitamin D increases the risk of ASD and the severity of ASD symptoms1416. Similarly, animal studies have linked vitamin D deficiency to the development of ASD17. Identifying risk factors for ASD is crucial in developing new prevention and treatment strategies18.

Vitamin D is received into the body through synthesis in the skin, depending on UVB skin exposure19. The active form of vitamin D, 1,25(OH)2D, is produced after two metabolic steps. The main circulating vitamin D metabolite, 25(OH)D, is initially produced in the liver during the first metabolic phase from 7-dehydrocholesterol, primarily catalyzed by the enzyme CYP2R1. Subsequently, the kidney’s CYP27B1 enzyme catalyzes the second metabolic step, converting 25(OH)D into 1,25(OH)2D20. All forms of vitamin D and the vitamin D-binding proteins encoded by the GC gene are transported throughout the body and have been detected in human cerebrospinal fluid21,22. Vitamin D leads to the stimulation of the expression of its target genes via binding to the vitamin D receptor (VDR), which translocate into the nucleus upon activation23.

Previous studies have identified associations between single-nucleotide polymorphisms (SNPs) in the vitamin D metabolic pathway and an increased risk of ASD. A study of the Han Chinese population revealed that the genetic variation of gene CYP27B1 (rs4646536) is significantly associated with an increased risk of ASD18. Previous studies showed the relation between the genetic variation of genes in the vitamin D pathway; the CYP2R1 gene (rs10741657) and the GC gene (rs4588, rs7041) are associated with ASD24,25. Vitamin D binding protein (VDBP), also known as group-specific component (GC), is highly polymorphic with significant functional implications. Key polymorphisms include rs7041 and rs4588. These polymorphisms lead to the formation of three major GC isoforms : (1) GC1s (rs7041C-rs4588G), (2) GC1f (rs7041A-rs4588G), and (3) GC2 (rs7041A-rs4588T), resulting in six different haplotypes: GC1f-GC1f, GC1f-GC1s, GC1s-GC1s, GC1f-GC2, GC1s-GC2, and GC2-GC2. Five common SNPs of VDR, which modulate gene transcription, are rs731236 (Taq1), rs11568820 (Cdx2), rs1544410 (Bsm1), rs2228570 (FokI) and rs7975232 (ApaI). The structure, transcriptional activity, and functions of VDR proteins have been associated with these SNPs26,27, and these SNPs also have been linked to an increased incidence of ASD in children2830.

However, the effect of genetic variation in genes of the vitamin D pathway on ASD has not been elucidated, and there has been no investigation of this aspect in Thai children with ASD. The objective of this study is to investigate the association between genetic variations in the vitamin D pathway and the susceptibility to and severity of ASD in Thai children. The researcher expects that this research could elucidate how to assess the risk and prognosis of ASD in the Thai population more accurately and precisely in the future.

Results

Demographic and clinical characteristics

The demographic and clinical profiles of the participants are presented in Table 1. The study comprised a total of 276 participants, with 169 individuals assigned to the ASD group and 107 individuals to the control group. Among the ASD group, consisting of 169 subjects (141 males and 28 females), the mean age was 7.97 years. In comparison, the control group, comprising 107 subjects (90 males and 17 females), had a mean age of 8.61 years. A statistical analysis revealed no significant differences in age or gender distribution between the two groups (p value = 0.47 and p value = 0.88, respectively). Furthermore, parameters such as the weight, height, body mass index (BMI), and total 25(OH)D levels did not exhibit significant variations between the control and ASD groups (Table 1).

Table 1.

Demographic and clinical characteristics.

Characteristics of the subjects Healthy control (N = 107) ASD group
(N = 169)
p value
Age (years) 8.61 ± 3.89 7.97 ± 4.15 0.47

Gender

- Male

- Female

90 (84.11%)

17 (15.89%)

141 (83.43%)

28 (16.57%)

0.88
Weight (kg) 33.71 (18.49) 34.69 (21.09) 0.96
Height (cm) 130.59 (22.49) 129.41 (24.15) 0.53
Body Mass Index 18.42 (4.89) 18.93(4.75) 0.40

Total 25(OH)D (ng/ml)

(mean ± SD)

20.94 ± 6.95

(N = 95) #

20.31 ± 6.61

(N = 146) #

0.89

#From the initial 276 participants, those who had used vitamin D supplements or medications affecting vitamin D levels within the past 6 months were excluded, resulting in a final sample size of 241 (95 healthy controls and 146 cases).

The association of Vitamin D pathway gene polymorphisms with the susceptibility to autism spectrum disorder

We explored the potential association between gene polymorphisms in the vitamin D pathway and susceptibility to ASD using the Chi-square test under a dominant genetic model. An association between the risk of ASD and the GC gene rs7041 (A > C) polymorphism was established. Notably, individuals with the GC gene rs7041 (AC + CC) genotype exhibited a significantly elevated association with the ASD group compared to those with the AA genotype (odds ratio = 1.74, 95% confidence interval = 1.13–2.66, p value = 0.01) (Table 2). However, after correcting for false discovery rates (FDR) with the Benjamini-Hochberg method, the association was no longer significant (Supplementary Table 1). Additionally, no significant association was observed between the polymorphisms of the GC (rs4588), CYP27B1 (rs4646536), CYP2R1 (rs10741657), and VDR; Taq1 (rs731236), ApaI (rs7975232), BsmI (rs1544410), FokI (rs2228570), and Cdx2 (rs11568820) genes and susceptibility to ASD. Further research should investigate a larger cohort to confirm the findings and clarify the relationships between the examined gene polymorphisms and ASD susceptibility.

Table 2.

The association of Vitamin D pathway gene polymorphisms with the susceptibility to autism spectrum disorder.

Genes SNP ID Genetic Variants Healthy control,
N (%)
(N = 107)
ASD group, N (%)
(N = 169)
OR (95%CI) p value
GC rs4588

GG

GT + TT

64 (59.81%)

43 (40.19%)

94 (55.62%)

75 (44.38%)

1.19 (0.79–1.80) 0.42
GC rs7041

AA

AC + CC

57 (53.27%)

50 (46.73%)

67 (39.64%)

102 (60.36%)

1.74 (1.13–2.66) 0.01*
CYP27B1 rs4646536

AA

AG + GG

24 (22.43%)

83 (77.57%)

35 (20.71%)

134 (79.29%)

1.10 (0.64–1.93) 0.72
CYP2R1 rs10741657

AA

AG + GG

8 (7.48%)

99 (92.52%)

17 (10.06%)

152 (89.94%)

0.72 (0.31–1.71) 0.46
Taq I rs731236

AA

AG + GG

85 (79.44%)

22 (20.56%)

145 (85.80%)

24 (14.20%)

0.64 (0.39–1.04) 0.07
Apa I rs7975232

CC

CA + AA

40 (37.38%)

67 (62.62%)

73 (43.20%)

96 (56.80%)

0.79 (0.50–1.22) 0.29
Bsm I rs1544410

CC

CT + TT

87 (81.31%)

20 (18.69%)

137 (81.07%)

32 (18.93%)

1.02 (0.63–1.64) 0.95
Fok I rs2228570

AA

AG + GG

27 (25.23%)

80 (74.77%)

37 (21.89%)

132 (78.11%)

1.20 (0.71–2.05) 0.50
Cdx2 rs11568820

CC

CT + TT

39 (36.45%)

68 (63.55%)

56 (33.14%)

113 (66.86%)

1.16 (0.73–1.80) 0.53

Statistical significance was assessed using the Chi-square test under a dominant genetic model.

* p value < 0.05.

The association of Vitamin D pathway gene polymorphisms with the severity of autism spectrum disorder

In this study, ASD was categorized into two groups: (1) minimal-to-no Symptoms and (2) mild-to-moderate and severe symptoms, based on the scores obtained from the Childhood Autism Rating Scale, 2nd Edition (CARS-2)31,32. The minimal-to-no symptoms group comprised 15 children, while the mild-to-moderate and severe symptoms group included 154 children. The findings, based on the Chi-square test under a dominant genetic model, revealed a significant association between individuals carrying the GC gene rs7041 (AC + CC) genotype and the severity of the mild-to-moderate and severe symptoms group with ASD compared to those with the AA genotype (odds ratio = 2.48, 95% confidence interval = 0.99–6.19, p value = 0.04) (Table 3). However, after applying FDR adjustment with the Benjamini-Hochberg procedure, the previously significant association between the GC gene rs7041 (A > C) variant and the severity of autism spectrum disorder was no longer significant (Supplementary Table 2). Moreover, other gene polymorphisms did not demonstrate significant associations with the severity of childhood ASD (Table 3). Additionally, a separate analysis was conducted to assess the association between genetic variants and the severity of ASD across three groups: minimal-to-no symptoms (N = 15), mild-to-moderate symptoms (N = 50), and severe symptoms (N = 104). However, this analysis did not yield significant results before or after adjusting for FDR using the Benjamini-Hochberg procedure, likely due to the limited sample size (see Supplementary Table 3). Future studies should consider expanding the sample size to enhance the statistical power of the analysis and allow for more robust conclusions regarding the association between genetic variants and ASD severity.

Table 3.

The association of Vitamin D pathway gene polymorphisms with the severity of autism spectrum disorder.

Genes SNP ID Genotype CARS2 Classification of Severity of ASD OR
(95% CI)
p value
Minimal-to-no Symptoms (N = 15) Mild-to Moderate and Severe Symptoms
(N = 154)
GC rs4588

GG

GT + TT

9 (9.57%)

6 (8.00%)

85 (90.43%)

69 (92.00%)

1.22 (0.49–3.01) 0.67
GC rs7041

AA

AC + CC

9 (13.43%)

6 (5.88%)

58 (86.57%)

96 (94.12%)

2.48 (0.99–6.19) 0.04*
CYP27B1 rs4646536

AA

AG + GG

4 (11.43%)

11 (8.21%)

31 (88.57%)

123 (91.79%)

1.44 (0.47–4.46) 0.52
CYP2R1 rs10741657

AA

AG + GG

2 (11.76%)

13 (8.55%)

15 (88.24%)

139 (91.45%)

1.43 (0.30–6.58) 0.65
Taq I rs731236

AA

AG + GG

14 (9.66%)

1 (4.17%)

131 (90.34%)

23 (95.83%)

2.46 (0.53–11.23) 0.23
Apa I rs7975232

CC

CA + AA

5 (6.85%)

10 (10.42%)

68 (93.15%)

86 (89.58%)

0.63 (0.22–1.75) 0.37
Bsm I rs1544410

CC

CT + TT

12 (8.76%)

3 (9.38%)

125 (91.24%)

29 (90.62%)

0.93 (0.32–2.59) 0.88
Fok I rs2228570

AA

AG + GG

5 (13.51%)

10 (7.58%)

32 (86.49%)

122 (92.42%)

1.91 (0.66–5.43) 0.22
Cdx2 rs11568820

CC

CT + TT

4 (7.14%)

11 (9.73%)

52 (92.86%)

102 (90.27%)

0.71 (0.23–2.16) 0.54

Statistical significance was assessed using the Chi-square test under a dominant genetic model.

* p value < 0.05.

The association of the GC gene (rs7041) and vitamin D insufficiency (vitamin D levels < 30 ng/mL) with the risk of autism spectrum disorder

The investigation of the GC gene rs7041 (A > C) variant, coupled with vitamin D insufficiency, was significantly associated with the susceptibility to ASD. The reference group consisted of participants with the A alleles of rs7041 and sufficient vitamin D levels. The children exhibiting both the GC gene rs7041 C allele and vitamin D insufficiency demonstrated an elevated risk of ASD compared to the reference group (odds ratio = 3.14, 95% confidence interval = 1.36–7.27, p value = 0.01) (Table 4).

Table 4.

The association between the GC gene (rs7041) and vitamin D insufficiency (vitamin D levels < 30 ng/mL) with the risk of autism spectrum disorder.

GC gene rs7041 (A > C) Vitamin D insufficient OR (95%CI) p value
A Allele (N = 14) No 1
A Allele (N = 154) Yes 1.60 (0.71–3.60) 0.24
C Allele (N = 7) No 1.49 (0.49–4.48) 0.48
C Allele (N = 66) Yes 3.14 (1.36–7.27) 0.01*

Statistical significance was calculated by the chi-square test. * p value < 0.05.

From the initial 276 participants, those who had used vitamin D supplements or medications affecting vitamin D levels within the past 6 months were excluded, resulting in a final sample size of 241.

The association of the GC isoform genotype and haplotype with the susceptibility to autism spectrum disorder

The data reveal a comparison of the distribution of genotype and haplotype of the GC gene isoforms (rs7041(A > C)/rs4588(G > T)) between two groups: the healthy control group and the ASD group. The genotypes comprise GC1s (rs7041C-rs4588G), GC1f (rs7041A rs4588G), and GC2 (rs7041A-rs4588T), while the haplotype represents various combinations of these genotypes. The genotypic analysis indicates that GC1s (rs7041C-rs4588G) is notably more prevalent among children with ASD (34.32%) compared to healthy controls (23.83%), with a statistically significant p value of 0.01. Interestingly, the GC1s-GC1s haplotype is more prevalent in the ASD cohort (8.28%) than in the control group (0.94%), with a statistically significant p value of 0.02. These findings demonstrate the association of the GC1s isoform with the risk of ASD in Thai children (Table 5).

Table 5.

The association of the GC isoform genotype and haplotype with the susceptibility to autism spectrum disorder.

Isoform# Genotype
(rs7041(A > C)/
rs4588(G > T))
Healthy control, N (%) ASD group, N (%) p value
GC1s C/G 51 (23.83%) 116 (34.32%) 0.01*
GC1f A/G 117 (54.67%) 144 (42.60%)
GC2 A/T 46 (21.50%) 78 (23.08%)
Isoform haplotype ##
GC1f-GC1f A/G-A/G 29 (27.10%) 34 (20.12%) 0.02*
GC1f-GC1s A/G-C/G 34 (31.78%) 46 (27.22%)
GC1s-GC1s C/G-C/G 1 (0.94%) 14 (8.28%)
GC1f-GC2 A/G-A/T 25 (23.36%) 30 (17.75%)
GC1s-GC2 C/G-A/T 15 (14.02%) 42 (24.85%)
GC2-GC2 A/T-A/T 3 (2.80%) 3 (1.78%)

N: absolute number of genotype/isoform haplotype, %: genotype/isoform haplotype frequency.

Statistical significance was calculated by the chi-square test. * p value < 0.05.

Healthy control (N = 107), ASD group (N = 169).

#GC1s (rs7041C/rs4588G), GC1f (rs7041A/rs4588G) and GC2 (rs7041A/rs4588T).

## GC1f-GC1f (rs7041AA/rs4588GG), GC1f-GC1s (rs7041AC/rs4588GG), GC1s-GC1s (rs7041CC/rs4588GG), GC1f-GC2 (rs7041AA/rs4588GT), GC1s-GC2 (rs7041AC/rs4588GT) and GC2-GC2 (rs7041AA/rs4588TT).

The association of the GC isoform genotype and haplotype with the severity of autism spectrum disorder

Table 6 presents an analysis of the association between the GC isoform genotype and haplotype and the severity of autism spectrum disorder. Significantly, the GC1s genotype (rs7041C-rs4588G) exhibited a higher prevalence among individuals with ASD with mild-to-moderate and severe symptoms (35.71%) compared to those with minimal-to-no symptoms (20.00%), with a p value of 0.03. Additionally, upon examining the distribution of isoform haplotypes, the GC1s-GC1s haplotype was observed more frequently in individuals with mild-to-moderate and severe symptoms (9.09%) compared to those with minimal-to-no symptoms (0.00%), with a significant p value of 0.01. These data highlight the potential impact of the GC1s isoform genotype and haplotype on the severity of ASD symptoms, providing valuable insights into the genetic factors associated with ASD. We also conducted a separate analysis of ASD subjects classified into three groups: minimal-to-no symptoms (N = 15), mild-to-moderate symptoms (N = 50), and severe symptoms (N = 104). However, the results were not statistically significant (Supplementary Table 4). Future research should explore larger and more diverse populations to better understand the potential relationships between symptom severity in ASD and genetic factors.

Table 6.

The association of the GC isoform genotype and haplotype with the severity of autism spectrum disorder.

Isoform# Genotype
(rs7041(A > C)/
rs4588(G > T))
CARS2 Classification of Severity of ASD p value
Minimal-to-
no Symptoms,
N (%)
Mild-to Moderate and
Severe Symptoms,
N (%)
GC1s C/G 6 (20.00%) 110 (35.71%) 0.03*
GC1f A/G 18 (60.00%) 126 (40.91%)
GC2 A/T 6 (20.00%) 72 (23.38%)
Isoform haplotype ##
GC1f-GC1f A/G-A/G 5 (33.33%) 29 (18.83%) 0.01*
GC1f-GC1s A/G-C/G 4 (26.67%) 42 (27.27%)
GC1s-GC1s C/G-C/G 0 (0.00%) 14 (9.09%)
GC1f-GC2 A/G-A/T 4 (26.67%) 26 (16.88%)
GC1s-GC2 C/G-A/T 2 (13.33%) 40 (25.98%)
GC2-GC2 A/T-A/T 0 (0.0%) 3 (1.95%)

N: absolute number of genotype/isoform haplotype, %: genotype/isoform haplotype frequency.

Statistical significance was calculated by the chi-square test. * p value < 0.05.

Minimal-to-no Symptoms (N = 15), Mild-to Moderate and Severe Symptoms (N = 154).

#GC1s (rs7041C/rs4588G), GC1f (rs7041A/rs4588G) and GC2 (rs7041A/rs4588T).

## GC1f-GC1f (rs7041AA/rs4588GG), GC1f-GC1s (rs7041AC/rs4588GG), GC1s-GC1s (rs7041CC/rs4588GG), GC1f-GC2 (rs7041AA/rs4588GT), GC1s-GC2 (rs7041AC/rs4588GT) and GC2-GC2 (rs7041AA/rs4588TT).

Multivariate analysis of predictive factors for the susceptibility to autism spectrum disorder

Table 7 presents a multivariate analysis of predictive factors for susceptibility to autism spectrum disorder, including nine polymorphisms—GC rs4588, GC rs7041, CYP27B1 rs4646536, CYP2R1 rs10741657, TaqI rs731236, ApaI rs7975232, BsmI rs1544410, FokI rs2228570, and Cdx2 rs11568820 as well as the vitamin D levels. The final multivariate model showed that the GC rs7041 polymorphism was significantly associated with an increased risk of ASD, with an odds ratio of 1.72 (95% confidence interval = 1.11–2.67, p value = 0.01). Additionally, the VDR (ApaI) rs7975232 polymorphism was significantly associated with a reduced risk of ASD, with an odds ratio of 0.68 (95% confidence interval = 0.48–0.96, p value = 0.03) after multivariate adjustment. The results indicate that the GC rs7041 polymorphism and the VDR (ApaI) rs7975232 polymorphism are independent predictors of susceptibility to autism spectrum disorder in the Thai population.

Table 7.

Multivariate analysis of predictive factors for the susceptibility to autism spectrum disorder (N = 241).

Predictive factors SNPs OR (95% CI) p value
GC rs7041 (A > C) 1.72 (1.11–2.67) 0.01*
VDR (ApaI) rs7975232 (C > A) 0.68 (0.48–0.96) 0.03*

Data are from logistic regression analyses: Forward stepwise method.

Variables entered into the method: GC rs4588, CYP27B1 rs4646536, CYP2R1 rs10741657, TaqI rs731236, BsmI rs1544410, FokI rs2228570, Cdx2 rs11568820 and vitamin D levels. *p value < 0.05.

From the initial 276 participants, those who had used vitamin D supplements or medications affecting vitamin D levels within the past 6 months were excluded, resulting in a final sample size of 241.

Multivariate analysis of predictive factors for the severity of autism spectrum disorder

Table 8 presents a multivariate analysis of predictive factors for the severity of autism spectrum disorder, including nine polymorphisms—GC rs4588, GC rs7041, CYP27B1 rs4646536, CYP2R1 rs10741657, TaqI rs731236, ApaI rs7975232, BsmI rs1544410, FokI rs2228570, and Cdx2 rs11568820 as well as the vitamin D levels. The final multivariate model showed that the GC rs7041 polymorphism was significantly associated with the severity of ASD, with an odds ratio of 3.39 (95% confidence interval = 1.04–11.03, p value = 0.01). The results suggest that the GC rs7041 polymorphism is an independent predictor of the severity of ASD in the Thai population.

Table 8.

Multivariate analysis of predictive factors for the severity of autism spectrum disorder (N = 146).

Predictive factors SNPs OR (95% CI) p value
GC rs7041 (A > C) 3.39 (1.04–11.03) 0.01*

Data are from logistic regression analyses: Forward stepwise method.

Variables entered into the method: GC rs4588, CYP27B1 rs4646536, CYP2R1 rs10741657, TaqI rs731236, BsmI rs1544410, FokI rs2228570, Cdx2 rs11568820 and vitamin D levels. * p value < 0.05.

From the initial 169 ASD, those who had used vitamin D supplements or medications affecting vitamin D levels within the past 6 months were excluded, resulting in a final sample size of 146.

Discussion

Vitamin D has been identified as a significant environmental factor associated with the onset of ASD33. Numerous studies have indicated that vitamin D is involved in immune modulation, anti-inflammatory processes, cell proliferation and differentiation, as well as neurodevelopment and protection12,34, which might be related to the susceptibility and severity of ASD911,13.

To our knowledge, this is the first study to assess the impact of both polymorphisms in the vitamin D pathway on the susceptibility to and severity of ASD in the Thai population. The findings showed no significant associations between the genetic variants GC rs4588, CYP27B1 rs4646536, CYP2R1 rs10741657, Taq I rs731236, Bsm I rs1544410, Fok I rs2228570, and Cdx2 rs11568820, and the risk or severity of ASD. However, this study suggests that the VDR gene polymorphisms rs 7975232 (ApaI) is significantly linked to a decreased risk of ASD. Moreover, our study revealed notable associations between the C allele of the GC gene variant rs7041 (A > C) and susceptibility to ASD, especially in individuals with both the GC gene rs7041 C allele and vitamin D insufficiency. Additionally, our study reveals an association between the C allele of the GC gene variant rs7041 (A > C), the GC1s isoform (rs7041C-rs4588G), and the GC1s-GC1s haplotype with both the risk and severity of ASD.

As a neurosteroid hormone, vitamin D is metabolized in the liver by vitamin D 25-hydroxylase (CYP2R1), resulting in the production of 25(OH)D (calcidiol), which is the main form of vitamin D circulating in the bloodstream. These metabolites remain inactive until they undergo conversion to 1,25-dihydroxyvitamin D [1,25(OH)2D] by 25(OH)D 1α-hydroxylase (CYP27B1), primarily occurring in the proximal tubule of the kidney, after which they become biologically active35. At this stage, vitamin D can attach to the vitamin D receptor (VDR), present in various tissues and organs throughout the body such as enterocytes, osteoblasts, neurons, astrocytes, oligodendrocytes, and multiple brain regions36,37.

Genetic variations in CYP2R1 (rs10741657) and CYP27B1 (rs4646536) may influence gene expression and enzyme activity, thereby affecting the level of 25(OH)D in serum38,39. However, in this study, we found no statistically significant associations between the genetic variants CYP2R1 (rs10741657), CYP27B1 (rs4646536), and the risk or severity of ASD. The lack of significant associations in our study may be due to genetic differences across populations or to environmental factors that were not accounted for. Further studies are needed to confirm the influence of genetic variants in CYP2R1 and CYP27B1 on the susceptibility to and severity of ASD.

For the VDR gene, located on chromosome 12q13 and consisting of nine exons and eight introns40, the five single-nucleotide polymorphisms that are most frequently studied are FokI (rs2228570), BsmI (rs1544410), ApaI (rs7975232), Cdx2 (rs11568820), and TaqI (rs731236). These SNPs have been shown to influence the structure and transcriptional and functional activity of VDR protein26,27. However, the effect of VDR gene polymorphisms on the susceptibility to and severity of ASD remains inconclusive24,2830. The results of this study indicate that the polymorphism in the VDR gene rs7975232 (ApaI) was significantly associated with a reduced risk of ASD, consistent with a meta-analysis conducted in 2023, which reported that the rs7975232 polymorphism is one of the genetic factors associated with a reduced risk of ASD41.

The vitamin D binding protein (VDBP), originally recognized as a group-specific component (GC), emerges as the most polymorphic protein known, with variations in the VDBP alleles exerting significant impacts on its biological functions. The most crucial among these are the two functional polymorphisms: rs7041 (c.1296A > C), which encodes glutamic acid instead of aspartic acid at position 432 (p.Asp432Glu), and rs4588 (c.1307G > T), which encodes lysine instead of threonine at position 436 (p.Thr436Lys), both located in exon 11 of the VDBP gene42. These polymorphisms lead to the formation of three major GC isoforms : (1) GC1s (rs7041C-rs4588G), which encodes 432Glu/436Thr; (2) GC1f (rs7041A rs4588G), which encodes 432Asp/436Thr; and (3) GC2 (rs7041A-rs4588T), which encodes 432Asp/436Lys. These three isoforms form six different haplotypes: GC1f-GC1f, GC1f-GC1s, GC1s-GC1s, GC1f-GC2, GC1s-GC2, and GC2-GC2. Our findings indicate a significant association between the susceptibility to ASD and its clinical severity and the rs7041 (A > C) polymorphism of the GC gene. Particularly noteworthy is the increased risk for ASD in individuals carrying the GC gene polymorphism rs7041 (A > C) along with vitamin D insufficiency. Additionally, our results demonstrate that the GC1s isoform and GC1s-GC1s haplotype are significantly more prevalent in children with ASD. Importantly, our study revealed that this specific isoform and haplotype are also significantly associated with the clinical severity of ASD.

The vitamin D binding protein facilitates the transportation of approximately 85% of the circulating vitamin D metabolites, while albumin binds around 15% of these metabolites with lower affinity. About 0.4% of total 1,25(OH)2D and 0.03% of the total 25(OH)D are free in serum21. The term “total vitamin D” encompasses the sum of the free, albumin-bound, and VDBP-bound fractions of vitamin D. Bioavailable vitamin D refers to all circulating vitamin D that is not bound to VDBP, which includes both the free form and the form bound to albumin43,44. However, the extent to which the albumin fraction is genuinely bioavailable remains unclear45. According to the free hormone hypothesis, only the unbound fraction of hormones, which circulates in the bloodstream without being bound to carrier proteins, is able to enter cells and exert biological effects44. Vitamin D binding protein alleles exhibit variations in their affinity for 25(OH)D.

Bikle et al. observed the lowest free percentage of 25(OH)D with the GC1s/GC1s haplotype and the highest with the GC1f/ GC1f haplotype, suggesting a higher affinity of the GC1s allele for 25(OH)D compared to the Gc1f allele, with the GC2 allele in between21. Similarly, Madden et al. found that VDBP levels are strongly influenced genetically, with carriers of the GC1s isoform having the highest VDBP levels and those carrying GC1f having the lowest VDBP levels46. This is consistent with the clinical trial study by Ganz et al., which reported that individuals with the C allele of the GC gene polymorphism rs7041 (A > C) exhibited significantly higher levels of VDBP and lower levels of free 25(OH)D47. Although the exact mechanisms linking vitamin D and autism remain uncertain, vitamin D is recognized as a neurosteroid that plays an active role in brain development. It influences cellular proliferation, differentiation, calcium signaling, and exhibits neurotrophic and neuroprotective actions. Additionally, it appears to affect neurotransmission and synaptic plasticity48. Furthermore, low vitamin D status is identified as an environmental risk factor for ASD49. Considering previous evidence in conjunction with our study findings, it may be hypothesized that individuals carrying the GC gene polymorphism rs7041 (A > C) or the GC1s isoform may have elevated VDBP levels, resulting in lower levels of the free fraction of 25(OH)D, impacting biological functions and diminishing the bioavailability of vitamin D, which could lead to an increased risk for ASD, as well as the increased clinical severity of ASD.

It is notable that VDBP may contribute to the pathogenesis of ASD through more than one mechanism. Recent findings indicate that the main effect of VDBP is to modulate inflammation, with only 2% of VDBP functioning as a vitamin binder50. VDBP is detectable in serum and cerebrospinal fluid51, and it serves as a precursor of GcMAF, a protein that drives macrophage activation and transitions them into a proinflammatory phenotype. The transformation of VDBP into GcMAF is promoted by B and T lymphocytes and is mediated by a cascade of carbohydrate processing reactions52. Furthermore, VDBP can substantially augment the chemotactic activity of neutrophil chemoattractants both in vitro and in vivo53. Many studies have highlighted the association between ASD and neuroinflammation9,10, an association further supported by growing clinical and experimental evidence linking disrupted immune and inflammatory responses to ASD pathogenesis54. Furthermore, Kern et al. identified chronic or excessive neuroinflammation in individuals with ASD, which may contribute to the behavioral characteristics of the disorder55. Lucchina et al. suggested that chronic inflammation, both peripherally and in the brain, could potentially lead to cognitive dysfunction54. Therefore, it might be concluded that individuals carrying the GC gene polymorphism rs7041 (A > C) or the GC1s isoform may have elevated VDBP levels46,47, potentially leading to increased inflammation and an elevated risk of ASD and its clinical severity.

To date, research examining the influence of the GC gene on the risk and severity of ASD has been limited. Schmidt et al. reported that specific GC gene polymorphisms, particularly the rs4588 (C > A) AA-genotype/A-allele, were linked to ASD within the U.S. population24. In 2022, a study conducted in Italy found a significant rise in the prevalence of the GC1f isoform among children with ASD compared to healthy controls. The presence of GC1f and GC1f-GC1f was connected to more severe clinical manifestations of ASD25. The inconsistency among previous studies and our findings could be due to variations in the impact of polymorphisms on VDBP function across different ethnicities. Our study is the first to indicate the impact of the GC gene polymorphism and GC isoform on ASD susceptibility and its clinical severity within the Thai population.

The primary findings of this study indicate that the VDR gene ApaI polymorphism (rs7975232) is associated with a reduced risk of ASD. Conversely, individuals carrying the GC gene polymorphism rs7041 (A > C) and the GC1s isoform may have a heightened susceptibility to ASD and more severe clinical manifestations, particularly in the context of vitamin D insufficiency. Insights into genetic factors influencing the vitamin D pathway may facilitate personalized approaches for assessing the risk and prognosis of ASD. The VDR (ApaI) rs7975232 and GC (rs7041 A > C) polymorphisms could serve as predictive markers for ASD susceptibility and symptom severity. Furthermore, sufficient vitamin D supplementation or sun exposure may help reduce ASD risk in the general population and mitigate symptom severity in children with ASD.

However, our study has some limitations. Firstly, we measured total 25(OH)D using a chemiluminescent immunoassay and did not assess the VDBP levels. Despite this, mass spectrometry is increasingly recognized as the gold standard for measuring vitamin D metabolites56,57 and is under development for quantifying VDBP and its various isoforms58,59. Future studies should employ mass spectrometry to validate the association between the vitamin D levels and VDBP levels and the susceptibility to ASD, as well as its severity. Secondly, since Bioavailable 25(OH)D (comprising the free and albumin-bound fractions) has been suggested as a more accurate indicator of vitamin D activity60,61, further investigation should include measurements of ‘free’ 25OHD and albumin levels. Thirdly, this study did not collect data on socioeconomic backgrounds or sun exposure, which might affect the susceptibility to ASD and vitamin D levels. Further studies need to include these variables. Fourthly, given that ASD is a complex disorder influenced by various genetic and environmental factors, including epigenetics, other factors beyond vitamin D may also contribute to susceptibility to ASD and its severity. Lastly, after applying false discovery rate (FDR) adjustment with the Benjamini-Hochberg procedure, the previously significant associations between the GC gene rs7041 (A > C) variant and ASD susceptibility and severity were no longer observed. The limited sample size of this study may have reduced its statistical power to detect associations between genetic polymorphisms and ASD susceptibility and severity. Therefore, replicating these findings in a larger sample or through multi-center collaborations is crucial to validate the associations between vitamin D gene polymorphisms and ASD susceptibility and severity.

Conclusion

In summary, this study is the first to demonstrate that the VDR gene (ApaI) rs7975232 is linked to a reduced risk of ASD. Furthermore, individuals with the GC gene polymorphism rs7041 (A > C) and the GC1s isoform may have increased susceptibility to ASD and greater clinical severity, particularly when combined with vitamin D insufficiency. Due to the limitations of a small sample size, further research involving larger, independent cohorts is necessary to validate these findings.

Methods

Participants

This case-control study involved 276 Thai children aged 2–18 years, with 169 children in the ASD group and 107 healthy children in the control group. The children with ASD were diagnosed according to the DSM-5 criteria by developmental pediatricians and experienced psychologists. The control group consisted of age- and gender-matched healthy Thai children, recruited from the same hospital, who were confirmed by the same developmental pediatricians to have no neurodevelopmental disorders. All participants were recruited from King Chulalongkorn Memorial Hospital between February 2022 and September 2023. The severity of symptoms was assessed using the Childhood Autism Rating Scale, 2nd Edition (CARS-2). CARS-2 comprises two parts: the CARS-2 Standard Version Rating Booklet (CARS2-ST), equivalent to the original CARS, and the CARS-2 High Functioning Version Rating Booklet (CARS2-HF), designed for individuals aged 6 years and older with an intelligence quotient above 80. The assessment involves 15 questions, each question is scored from 1 (normal at the corresponding age) to 4 (severely abnormal at the corresponding age). For CARS2-ST, a total score of 15-29.5 (15-27.5 for ages 13+) indicates minimal-to-no symptoms, 30–36.5 (28-34.5 for ages 13+) indicates mild to moderate autism, and a total score of ≥ 37 (35 and higher for ages 13+) indicates severe autism. For CARS2-HF, a total score of ≤ 27.5 indicates non-autism, a score between 28 and 33.5 indicates moderate autism, and a score of ≥ 34 indicates severe autism32. Subjects with a genetic syndrome, comorbid psychiatric disorders, childhood disintegrative disorder (CDD), congenital hypothyroidism, or a history of maternal infection were excluded from this study due to the potential impact of these conditions on neurodevelopment. Such disorders can significantly influence cognitive and behavioral outcomes, potentially mimicking ASD symptoms. Participants who had taken vitamin D supplements or medications affecting vitamin D levels within the past six months were excluded from total 25(OH)D level measurements to prevent altered vitamin D readings. Additionally, any missing data was excluded from the analysis to ensure the integrity and accuracy of the results. This study received approval from the Institutional Review Board of the Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand (Approval Number 550/63) and was conducted in accordance with the Declaration of Helsinki. The authors confirm that all research was conducted in accordance with relevant guidelines and regulations. The study protocol was clearly explained to all patients, and informed consent was obtained from all participants, or from their parents or legal guardians for those under 17 years old, before their inclusion in the study. Blood samples were collected by trained personnel experienced in pediatric blood collection using sterile techniques. An EDTA tube was used for genotyping analysis, while a serum tube was used to measure vitamin D levels. The serum was stored at -80 °C to preserve vitamin D stability until analysis.

Genotyping methods

Peripheral blood mononuclear cells (PBMCs) were extracted from 6 mL of whole blood collected in an EDTA tube. DNA was isolated from PBMCs using GENEzol™ LS Reagent (Geneaid Biotech, New Taipei, Taiwan). The concentration and purity of the DNA were measured using a NanoDrop™ One spectrophotometer, assessing the 280/260 and 280/230 absorbance ratios. The sample was stored at -80 °C until analysis. For all SNPs genotypes (including the positive and negative controls), the CYP2R1 gene (rs10741657), CYP27B1 gene (rs4646536), GC gene (rs4588, rs7041), and VDR gene (rs731236, rs11568820, rs7975232, rs1544410, and rs2228570)), were identified using TaqMan® allelic discrimination methods real-time PCR assays (Applied Biosystems, Foster City, CA).

Evaluation of the serum vitamin D level

Vitamin D levels in the serum were measured using a chemiluminescent immunoassay (LIAISON® 25 OH Vitamin D TOTAL Assay) at the center for Medical Diagnostic Laboratories Faculty of Medicine, King Chulalongkorn Memorial Hospital, Bangkok, Thailand. The assessment of vitamin D levels in the blood followed the Endocrine Society guidelines62. According to these criteria, sufficient vitamin D is defined as a 25(OH)D level greater than or equal to 30 ng/mL.

Statistical analysis

Genetic polymorphisms were assessed for concordance with Hardy–Weinberg equilibrium (HWE). Descriptive statistics were employed to characterize the clinical features of the subjects. To compare age and vitamin D levels between cases and controls, an unpaired t-test was performed (Table 1). Chi-square statistics were used to analyze the associations of genetic polymorphisms in vitamin D pathway genes with the risk and severity of ASD (Tables 2, 3, and 4; Supplementary Tables 1, 2, and 3). Chi-square statistics were also used to examine the association between GC gene isoforms, including their haplotypes, and the risk and severity of ASD (Tables 5 and 6; Supplementary Table 4). Additionally, multiple logistic regression analysis (forward stepwise method) was conducted to assess the predictive risk factors for ASD susceptibility and severity (Tables 7 and 8). All statistical analyses were conducted using IBM SPSS Statistics (Statistical Package for the Social Sciences, version 28.0.0, IBM Corp, Armonk, NY, USA; URL: https://www.ibm.com/products/spss-statistics). p values less than 0.05 were considered statistically significant. The p value was corrected for multiple comparisons using the Benjamini-Hochberg (BH) method to control the false discovery rate (FDR) (Supplementary Tables 1, 2 and 3).

Supplementary Information

Below is the link to the electronic supplementary material.

Acknowledgements

We gratefully acknowledge the dedicated staff at the laboratory for Pharmacogenomics, Ramathibodi Hospital, Somdech Phra Debaratana Medical Center SDMC, Bangkok, Thailand. The authors extend the gratitude to all the participants who contributed to this study.

Author contributions

C.Sa. performed all the experiments, collected samples and clinical data, analyzed the data, and drafted the manuscript. C.Sa., T.S., and N.V. contributed to funding acquisition. T.S. contributed to conceptualization, methodology, and supervision. W.C., P.T., and M.S. diagnosed and recruited the subjects. S.S. contributed to methodology and supervision. W.Y., C.P., Th.S., M.L.V.E., N.A., and S.T. collected samples and clinical data. R.S., P.S., and C.A. contributed to methodology. C.Su. and N.V. contributed to project administration, conceptualization, methodology, supervision, validation, and writing - review & editing.

Data availability

The datasets used and/or analysed during the current study available from the corresponding author on reasonable request.

Declarations

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Chonlaphat Sukasem, Email: chonlaphat.suk@mahidol.ac.th.

Natchaya Vanwong, Email: natchaya.v@chula.ac.th.

References

  • 1.Modabbernia, A., Velthorst, E. & Reichenberg, A. Environmental risk factors for autism: an evidence-based review of systematic reviews and meta-analyses. Mol. Autism. 8, 13. 10.1186/s13229-017-0121-4 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Qi, X. et al. Vitamin D status is primarily associated with core symptoms in children with autism spectrum disorder: a multicenter study in China. Psychiatry Res.317, 114807. 10.1016/j.psychres.2022.114807 (2022). [DOI] [PubMed] [Google Scholar]
  • 3.Sun, X. et al. Autism prevalence in China is comparable to western prevalence. Mol. Autism. 10, 7. 10.1186/s13229-018-0246-0 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Zhou, H. et al. Prevalence of Autism Spectrum Disorder in China: a Nationwide Multi-center Population-based study among children aged 6 to 12 years. Neurosci. Bull.36, 961–971. 10.1007/s12264-020-00530-6 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Bougeard, C., Picarel-Blanchot, F., Schmid, R., Campbell, R. & Buitelaar, J. Prevalence of autism spectrum disorder and co-morbidities in children and adolescents: a systematic literature review. Front. Psychiatry. 12, 744709 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Bai, D. et al. Association of Genetic and Environmental Factors with Autism in a 5-Country cohort. JAMA Psychiatry. 76, 1035–1043. 10.1001/jamapsychiatry.2019.1411 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Halicka, H. D. et al. Attenuation of constitutive DNA damage signaling by 1,25-dihydroxyvitamin D3. Aging4, 270–278. 10.18632/aging.100450 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Alvarez, J. A. et al. Vitamin D status is independently associated with plasma glutathione and cysteine thiol/disulphide redox status in adults. Clin. Endocrinol. (Oxf). 81, 458–466. 10.1111/cen.12449 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Frick, L., Rapanelli, M., Abbasi, E., Ohtsu, H. & Pittenger, C. Histamine regulation of microglia: gene-environment interaction in the regulation of central nervous system inflammation. Brain Behav. Immun.57, 326–337. 10.1016/j.bbi.2016.07.002 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Zhang, P. et al. Neuron-specific transcriptomic signatures indicate neuroinflammation and altered neuronal activity in ASD temporal cortex. Proc. Natl. Acad. Sci. U S A. 120, e2206758120. 10.1073/pnas.2206758120 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Goines, P. & Van de Water, J. The immune system’s role in the biology of autism. Curr. Opin. Neurol.23, 111–117. 10.1097/WCO.0b013e3283373514 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Khammissa, R. et al. The biological activities of vitamin D and its receptor in relation to calcium and bone homeostasis, cancer, immune and cardiovascular systems, skin biology, and oral health. BioMed Res. Int. 2018 (2018). [DOI] [PMC free article] [PubMed]
  • 13.Máčová, L., Bičíková, M., Ostatníková, D., Hill, M. & Stárka, L. Vitamin D, neurosteroids and autism. Physiol. Res.66, S333–S340. 10.33549/physiolres.933721 (2017). [DOI] [PubMed] [Google Scholar]
  • 14.Cannell, J. J. Autism and vitamin D. Med. Hypotheses. 70, 750–759 (2008). [DOI] [PubMed] [Google Scholar]
  • 15.Wang, T. et al. Serum concentration of 25-hydroxyvitamin D in autism spectrum disorder: a systematic review and meta-analysis. Eur. Child Adolesc. Psychiatry. 25, 341–350 (2016). [DOI] [PubMed] [Google Scholar]
  • 16.Altun, H., Kurutaş, E. B., Şahin, N., Güngör, O. & Fındıklı, E. The levels of vitamin D, vitamin D receptor, homocysteine and complex B vitamin in children with autism spectrum disorders. Clin. Psychopharmacol. Neurosci.16, 383 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Ali, A. et al. Developmental vitamin D Deficiency produces behavioral phenotypes of relevance to Autism in an animal model. Nutrients11, 1187. 10.3390/nu11051187 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Yu, H., Zhang, Z., Liu, J., Hu, P. & Liu, Z. Association study between genetic variants in vitamin D metabolism related genes and childhood autism spectrum disorder. Metab. Brain Dis.35, 971–978. 10.1007/s11011-020-00570-x (2020). [DOI] [PubMed] [Google Scholar]
  • 19.Argano, C. et al. The role of Vitamin D and its molecular bases in insulin resistance, diabetes, metabolic syndrome, and Cardiovascular Disease: state of the art. Int. J. Mol. Sci.24, 15485. 10.3390/ijms242015485 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.García-Domínguez, M. et al. Structural diversification of vitamin D using microbial biotransformations. Appl. Microbiol. Biotechnol.108, 409. 10.1007/s00253-024-13244-w (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Bikle, D. D., Schwartz, J., Vitamin, D. B. & Protein Total and Free Vitamin D Levels in different physiological and pathophysiological conditions. Front. Endocrinol. (Lausanne). 10, 317. 10.3389/fendo.2019.00317 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Kim, Y. J. et al. Clinical utility of cerebrospinal fluid vitamin D-binding protein as a novel biomarker for the diagnosis of viral and bacterial CNS infections. BMC Infect. Dis.21, 240. 10.1186/s12879-021-05924-z (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Eyles, D. W., Smith, S., Kinobe, R., Hewison, M. & McGrath, J. J. Distribution of the vitamin D receptor and 1 alpha-hydroxylase in human brain. J. Chem. Neuroanat.29, 21–30. 10.1016/j.jchemneu.2004.08.006 (2005). [DOI] [PubMed] [Google Scholar]
  • 24.Schmidt, R. J. et al. Selected vitamin D metabolic gene variants and risk for autism spectrum disorder in the CHARGE study. Early Hum. Dev.91, 483–489. 10.1016/j.earlhumdev.2015.05.008 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Bolognesi, E. et al. GC1f vitamin D binding protein isoform as a marker of severity in Autism Spectrum disorders. Nutrients14, 5153. 10.3390/nu14235153 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Yamamoto, H. et al. The caudal-related homeodomain protein Cdx‐2 regulates vitamin D receptor gene expression in the small intestine. J. Bone Miner. Res.14, 240–247 (1999). [DOI] [PubMed] [Google Scholar]
  • 27.Uitterlinden, A. G., Fang, Y., Van Meurs, J. B., Pols, H. A. & Van Leeuwen, J. P. Genetics and biology of vitamin D receptor polymorphisms. Gene. 338, 143–156 (2004). [DOI] [PubMed] [Google Scholar]
  • 28.Coşkun, S., Şimşek, Ş., Camkurt, M. A., Çim, A. & Çelik, S. B. Association of polymorphisms in the vitamin D receptor gene and serum 25-hydroxyvitamin D levels in children with autism spectrum disorder. Gene588, 109–114 (2016). [DOI] [PubMed] [Google Scholar]
  • 29.Zhang, Z., Li, S., Yu, L. & Liu, J. Polymorphisms in vitamin D receptor genes in association with childhood autism spectrum disorder. Disease markers 2018 (2018). [DOI] [PMC free article] [PubMed]
  • 30.Cieślińska, A. et al. Vitamin D Receptor Gene Polymorphisms Associated with Childhood Autism. Brain Sci.7, 115. 10.3390/brainsci7090115 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Schopler, E., Reichler, R. J. & Renner, B. R. The Childhood Autism Rating Scale (CARS) (Western Psychological Services Los Angeles, 2010). [Google Scholar]
  • 32.Eric Schopler, P., Van Bourgondien, M. E., Wellman, G. J. & Love, S. R. (CARS™2) Childhood Autism Rating Scale™, Second Edition (Western Psychological Service, 2020).
  • 33.Jia, F. et al. Bench to bedside review: possible role of vitamin D in autism spectrum disorder. Psychiatry Res.260, 360–365. 10.1016/j.psychres.2017.12.005 (2018). [DOI] [PubMed] [Google Scholar]
  • 34.Kocovska, E., Gaughran, F., Krivoy, A. & Meier U. (2017). [DOI] [PMC free article] [PubMed]
  • 35.Jones, G., Prosser, D. E. & Kaufmann, M. Cytochrome P450-mediated metabolism of vitamin D. J. Lipid Res.55, 13–31. 10.1194/jlr.R031534 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Eyles, D. W. & Vitamin, D. Brain and behavior. JBMR Plus. 5, e10419. 10.1002/jbm4.10419 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Liu, H. et al. Defining vitamin D receptor expression in the brain using a novel VDR(cre) mouse. J. Comp. Neurol.529, 2362–2375. 10.1002/cne.25100 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Petersen, R. A. et al. Common genetic variants are associated with lower serum 25-hydroxyvitamin D concentrations across the year among children at northern latitudes. Br. J. Nutr.117, 829–838. 10.1017/s0007114517000538 (2017). [DOI] [PubMed] [Google Scholar]
  • 39.Soininen, S. et al. Serum 25-Hydroxyvitamin D, plasma lipids, and Associated Gene Variants in Prepubertal Children. J. Clin. Endocrinol. Metab.103, 2670–2679. 10.1210/jc.2018-00335 (2018). [DOI] [PubMed] [Google Scholar]
  • 40.Zmuda, J. M., Cauley, J. A. & Ferrell, R. E. Molecular epidemiology of vitamin D receptor gene variants. Epidemiol. Rev.22, 203–217. 10.1093/oxfordjournals.epirev.a018033 (2000). [DOI] [PubMed] [Google Scholar]
  • 41.Fang, Y. et al. Comprehensive systematic review and meta-analysis of the association between common genetic variants and autism spectrum disorder. Gene. 887, 147723. 10.1016/j.gene.2023.147723 (2023). [DOI] [PubMed] [Google Scholar]
  • 42.Braun, A., Bichlmaier, R. & Cleve, H. Molecular analysis of the gene for the human vitamin-D-binding protein (group-specific component): allelic differences of the common genetic GC types. Hum. Genet.89, 401–406. 10.1007/bf00194311 (1992). [DOI] [PubMed] [Google Scholar]
  • 43.Tsuprykov, O. et al. Why should we measure free 25(OH) vitamin D? J. Steroid Biochem. Mol. Biol.180, 87–104. 10.1016/j.jsbmb.2017.11.014 (2018). [DOI] [PubMed] [Google Scholar]
  • 44.Chun, R. F. et al. Vitamin D and DBP: the free hormone hypothesis revisited. J. Steroid Biochem. Mol. Biol.144 Pt A, 132–137. 10.1016/j.jsbmb.2013.09.012 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Bikle, D. D. & Gee, E. Free, and not total, 1,25-dihydroxyvitamin D regulates 25-hydroxyvitamin D metabolism by keratinocytes. Endocrinology. 124, 649–654. 10.1210/endo-124-2-649 (1989). [DOI] [PubMed] [Google Scholar]
  • 46.Madden, K. et al. Critically Ill Children have low vitamin D-Binding protein, influencing bioavailability of vitamin D. Ann. Am. Thorac. Soc.12, 1654–1661. 10.1513/AnnalsATS.201503-160OC (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Ganz, A. B., Park, H., Malysheva, O. V. & Caudill, M. A. Vitamin D binding protein rs7041 genotype alters vitamin D metabolism in pregnant women. Faseb j.32, 2012–2020. 10.1096/fj.201700992R (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Cannell, J. J. Vitamin D and autism, what’s new? Rev. Endocr. Metab. Disord. 18, 183–193. 10.1007/s11154-017-9409-0 (2017). [DOI] [PubMed] [Google Scholar]
  • 49.Wang, Z., Ding, R. & Wang, J. The Association between Vitamin D Status and autism spectrum disorder (ASD): a systematic review and Meta-analysis. Nutrients13, 86. 10.3390/nu13010086 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Delanghe, J. R., Speeckaert, R. & Speeckaert, M. M. Behind the scenes of vitamin D binding protein: more than vitamin D binding. Best Pract. Res. Clin. Endocrinol. Metab.29, 773–786. 10.1016/j.beem.2015.06.006 (2015). [DOI] [PubMed] [Google Scholar]
  • 51.Lee, D. H., Kang, H., Kim, J. H., Jung, M. H. & Cho, M. C. Cerebrospinal fluid vitamin D-binding protein as a new biomarker for the diagnosis of meningitis. Neurol. Sci.40, 1597–1605. 10.1007/s10072-019-03873-9 (2019). [DOI] [PubMed] [Google Scholar]
  • 52.Gomme, P. T. & Bertolini, J. Therapeutic potential of vitamin D-binding protein. Trends Biotechnol.22, 340–345. 10.1016/j.tibtech.2004.05.001 (2004). [DOI] [PubMed] [Google Scholar]
  • 53.Kew, R. R. & The Vitamin, D. B. Protein and inflammatory Injury: a mediator or sentinel of tissue damage? Front. Endocrinol. (Lausanne). 10, 470. 10.3389/fendo.2019.00470 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Lucchina, L. & Depino, A. M. Altered peripheral and central inflammatory responses in a mouse model of autism. Autism Res.7, 273–289. 10.1002/aur.1338 (2014). [DOI] [PubMed] [Google Scholar]
  • 55.Kern, J. K., Geier, D. A., Sykes, L. K. & Geier, M. R. Relevance of Neuroinflammation and Encephalitis in Autism. Front. Cell. Neurosci.9, 519. 10.3389/fncel.2015.00519 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Müller, M. J. & Volmer, D. A. Mass spectrometric profiling of vitamin D metabolites beyond 25-hydroxyvitamin D. Clin. Chem.61, 1033–1048. 10.1373/clinchem.2015.241430 (2015). [DOI] [PubMed] [Google Scholar]
  • 57.Binkley, N. & Carter, G. D. Toward clarity in clinical vitamin D Status Assessment: 25(OH)D Assay standardization. Endocrinol. Metab. Clin. North. Am.46, 885–899. 10.1016/j.ecl.2017.07.012 (2017). [DOI] [PubMed] [Google Scholar]
  • 58.Hoofnagle, A. N., Eckfeldt, J. H. & Lutsey, P. L. Vitamin D-Binding protein concentrations quantified by Mass Spectrometry. N Engl. J. Med.373, 1480–1482. 10.1056/NEJMc1502602 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Kilpatrick, L. E. & Phinney, K. W. Quantification of total Vitamin-D-Binding protein and the glycosylated isoforms by Liquid Chromatography-Isotope Dilution Mass Spectrometry. J. Proteome Res.16, 4185–4195. 10.1021/acs.jproteome.7b00560 (2017). [DOI] [PubMed] [Google Scholar]
  • 60.Powe, C. E. et al. Vitamin D-binding protein and vitamin D status of black americans and white americans. N Engl. J. Med.369, 1991–2000. 10.1056/NEJMoa1306357 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Chun, R. F., Peercy, B. E., Adams, J. S. & Hewison, M. Vitamin D binding protein and monocyte response to 25-hydroxyvitamin D and 1,25-dihydroxyvitamin D: analysis by mathematical modeling. PLoS One. 7, e30773. 10.1371/journal.pone.0030773 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Holick, M. F. et al. Evaluation, treatment, and prevention of vitamin D deficiency: an endocrine Society clinical practice guideline. J. Clin. Endocrinol. Metab.96, 1911–1930. 10.1210/jc.2011-0385 (2011). [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Data Availability Statement

The datasets used and/or analysed during the current study available from the corresponding author on reasonable request.


Articles from Scientific Reports are provided here courtesy of Nature Publishing Group

RESOURCES