Genetic Variants Within ND2 Gene of Mitochondria are Associated with the Altered Levels of Ammonia, Vitamin D and Free Thyroxine in Bangladeshi Children with Autism Spectrum Disorder.
Rahman Molie, Noman Abdullah Al, Saba Abdullah Al, Adiba Maisha, Hasan Md Mahbub, Yasmin Tahirah, Ahmed Bulbul, Ebihara Akio, Nabi A H M Nurun
What this study means for families
Researchers studied blood chemistry and genetic differences in 50 children with autism compared to 30 typical children in Bangladesh. They found several blood markers (like lactic acid, ammonia, vitamin D, and thyroid hormone) were different between groups. While they discovered genetic changes in mitochondrial DNA, these weren't directly linked to having autism. However, some genetic variants were connected to abnormal blood chemistry levels.
This research may help identify early signs of autism through blood tests.
Summary by AutismInsights from published abstract. This is not a substitute for reading the original paper.
Research summary
This case-control study examined mitochondrial DNA variants in the ND2 gene and biochemical markers in 50 Bangladeshi children with autism spectrum disorder compared to 30 controls. Researchers identified significant differences in lactic acid, ammonia, ALT, AST, vitamin D, and free thyroxine levels between groups. While 37 genetic variants were found in the ND2 gene (including 3 novel variants), none were associated with autism diagnosis. However, five specific variants showed associations with altered levels of ammonia, vitamin D, and free thyroxine.
Lactic acid demonstrated the highest diagnostic accuracy (AUC = 0.993). The findings suggest potential biomarkers for autism detection, though the genetic variants' functional significance requires further investigation.
Summary by AutismInsights from published abstract. This is not a substitute for reading the original paper.
Key findings
- 1
Significant differences in lactic acid, ammonia, ALT, AST, vitamin D, and free thyroxine levels between ASD and control groups
Confidence: moderateRelevance: Potential biochemical biomarkers for autism screening and diagnosis - 2
Lactic acid showed highest diagnostic accuracy (AUC = 0.993) for distinguishing ASD from controls
Confidence: moderateRelevance: Strong potential as diagnostic biomarker - 3
37 mitochondrial ND2 gene variants identified, with 3 novel variants, but none associated with ASD diagnosis
Confidence: limitedRelevance: Genetic variants may not directly cause autism but could affect metabolic processes - 4
Five specific genetic variants associated with altered ammonia, vitamin D, and free thyroxine levels
Confidence: limitedRelevance: Suggests genetic influence on biochemical abnormalities in autism
Summary by AutismInsights from published abstract. This is not a substitute for reading the original paper.
Clinical implications
Findings suggest potential biochemical biomarkers, particularly lactic acid, for autism screening. However, clinical application requires validation in larger, diverse populations. The genetic variants' functional significance and therapeutic implications need further investigation before clinical implementation.
Summary by AutismInsights from published abstract. This is not a substitute for reading the original paper.
Limitations
Small sample size from single population limits generalizability. Cross-sectional design cannot establish causality. No functional validation of genetic variants. Limited to one mitochondrial gene. Unclear study methodology and potential confounding factors not addressed.
Summary by AutismInsights from published abstract. This is not a substitute for reading the original paper.
Original abstract
Autism spectrum disorder (ASD) is a complex and multifaceted neurodevelopmental disorder that is becoming more common worldwide. While there is growing evidence linking mitochondrial dysfunction to ASD, the exact causes remain unclear. There is little study being done in Bangladesh on the genetic and biochemical causes of ASD. The goal of this study is to identify mitochondrial DNA (mtDNA) variants in the ND2 gene and explore how these variations might be linked to the progression of ASD and biochemical parameters.
Eighty children aged 2-10 years were enrolled, comprising 50 ASD children and 30 healthy controls. Biochemical parameters (lactic acid, ammonia, ALT, AST, calcium, magnesium, TSH, vitamin D, and free thyroxine or FT4) were tested, and mtDNA was extracted and amplified for Sanger sequencing. Identified single nucleotide polymorphisms (SNPs) were evaluated for association with disease outcome and biochemical parameters. Bioinformatics tools were used to analyze the impact of SNPs on protein structure and function.
The findings demonstrated significant differences in lactic acid, ammonia, ALT, AST, vitamin D, and FT4 levels between the ASD and control groups (p < 0.05). Lactic acid (AUC = 0.993) showed the highest diagnostic accuracy, while ammonia (AUC = 0.899), AST (AUC = 0.884), and vitamin D (AUC = 0.863) showed excellent performance. A total of 37 SNPs were identified in the ND2 gene, three were novel, with 4901 A>G, 5124 C>A, and 5306 C>T. No variant was found to be associated with disease outcome.
However, variants located at 5108 T>C, 5262 G>A, 4703 T>C, 4841 G>A, and 5186 A>T were found to be significantly associated with the altered levels of ammonia, vitamin D and FT4, respectively. Among three novel variants, two were synonymous SNPs (4901 A>G and 5306 C>T) and they showed decreased RSCU values, indicating lower efficiency and affect gene expression. Three variants were identified within the tRNA specific for Q and M but they were predicted to be likely benign. Comprehending the association of these genetic variations and biochemical markers with ASD should facilitate early detection and subsequent management strategy in children with these neurodevelopmental disorders.
Evidence Grade
limited
Grade assigned by AutismInsights based on study type and published abstract.
Study Details
- Journal
- Biochemical genetics
- Year
- 2026
- PMID
- 40450641
- DOI
- 10.1007/s10528-025-11137-9
MeSH Terms