Iron metabolism in autism spectrum disorder; inference through single nucleotide polymorphisms in key iron metabolism genes.


Journal

Journal of the neurological sciences
ISSN: 1878-5883
Titre abrégé: J Neurol Sci
Pays: Netherlands
ID NLM: 0375403

Informations de publication

Date de publication:
15 10 2023
Historique:
received: 24 04 2023
revised: 21 09 2023
accepted: 24 09 2023
medline: 23 10 2023
pubmed: 10 10 2023
entrez: 9 10 2023
Statut: ppublish

Résumé

Autism spectrum disorder (ASD) is a heterogeneous group of neurodevelopmental problems with various genetic and environmental components. The ASD diagnosis is based on symptom expression without reliance on any biomarkers. The genetic contributions in ASD remain elusive. Various studies have linked ASD with iron. Since iron plays a crucial role in brain development, neurotransmitter synthesis, neuronal myelination and mitochondrial function, we hypothesized that iron dysregulation in the brain could play a role and contribute to the pathogenesis of ASD. In this study, we investigated single nucleotide polymorphisms in ASD in various iron metabolism genes, including the Transferrin Receptor (TFRC) gene (rs11915082), the Solute Carrier Family 11 Member 2 (SLC11A2) gene (rs1048230 and rs224589), the Solute Carrier Family 40 Member 1 (SLC40A1) gene (rs1439816), and hepcidin antimicrobial peptide (HAMP) gene (rs10421768). We recruited 48 patients with ASD and 88 matched non-ASD controls. Our results revealed a significant difference between ASD and controls in the G allele of the TFRC gene rs11915082, and in the C allele of the SLC40A1 gene rs1439816. In silico analysis demonstrated potential positive role of the indicated genetic variations in ASD development and pathogenesis. These results suggest that specific genetic variations in iron metabolism genes may represent part of early genetic markers for early diagnosis of ASD. A significant effect of SNPs, groups (ASD/control) as well as interaction between SNPs and groups was revealed. Follow-up post hoc tests showed a significant difference between the ASD and control groups in rs11915082 (TFRC gene) and rs1439816 (SLC40A1 gene). Backward conditional logistic regression using both the genotype and allele data showed similar ability in detecting ASD using allel model (Nagelkerke R

Identifiants

pubmed: 37813049
pii: S0022-510X(23)00278-2
doi: 10.1016/j.jns.2023.120817
pii:
doi:

Substances chimiques

Iron E1UOL152H7
Biomarkers 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

120817

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Auteurs

Sabha Rabaya (S)

Department of Health Sciences, Molecular Genetics and Genetic Toxicology Program, Arab American University, Ramallah,Palestine.

Sameera Nairat (S)

Palestinian Neuroscience Initiative, Al-Quds University, Abu Dis, Jerusalem, Palestine.

Khaldoun Bader (K)

Faculty of Public Health, Al-Quds University, Abu Dis, Jerusalem, Palestine.

Mohammad M Herzallah (MM)

Palestinian Neuroscience Initiative, Al-Quds University, Abu Dis, Jerusalem, Palestine; Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, USA. Electronic address: mohammad.m.herzallah@gmail.com.

Hisham M Darwish (HM)

Department of Health Sciences, Molecular Genetics and Genetic Toxicology Program, Arab American University, Ramallah,Palestine; Department of Medical Laboratory Sciences, Faculty ofAllied Medical Sciences, Arab American University, Jenin, Palestine. Electronic address: hisham.darwish@aaup.edu.

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