Genetic and Pathogenic Overlaps Between Autism Spectrum Disorder and Alzheimer’s Disease: Evolutionary Features and Opportunities for Drug Repurposing

Autism spectrum disorder (ASD) and Alzheimer's disease (AD) are neurodevelopmental and neurodegenerative disorders, respectively. While exome sequencing is routinely employed during the early stages of ASD diagnosis, it rarely influences therapeutic strategies. To address this gap, we have reconstructed and analyzed the gene networks linking autism spectrum disorders, Alzheimer's disease, and mTOR signaling. In addition, we have performed a phylostratigraphic analysis that reveals similarities and differences in the evolution of both ASD and Alzheimer's disease predisposition genes. We have shown that almost half of the genes predisposing to autism and two-fifths of the genes predisposing to Alzheimer's disease are directly related to the mTOR signaling pathway. Analysis of Phylostratigraphic Age Index (PAI) value distributions revealed a significant enrichment of evolutionarily ancient genes in both ASD- and AD-related gene sets. When studying the distribution of ASD predisposition genes by Divergence Index (DI) values, a significant enrichment with genes having extremely low DI = 0 has been found. Such low DI values indicate that most likely these genes are under stabilizing selection. Using the ANDVisio tool, both pharmacological and natural mTOR regulators with potential for ASD treatment were selected, such as propofol, dexamethasone, celecoxib, statins, berberine, resveratrol, quercetin, myricetin, mio-inositol, and several amino acids.

Authors

Institutions

Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-10-16
DOI
https://doi.org/10.3390/ijms262010066
Primary Topic
Genetics and Neurodevelopmental Disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genetic and Pathogenic Overlaps Between Autism Spectrum Disorder and Alzheimer’s Disease: Evolutionary Features and Opportunities for Drug Repurposing

С. А. Лашин, А. В. Кочетов, R. A. Ivanov, Anna A. Pashchenko et al.
International Journal of Molecular Sciences
Genetics and Neurodevelopmental Disorders
article

Genetic and Pathogenic Overlaps Between Autism Spectrum Disorder and Alzheimer’s Disease: Evolutionary Features and Opportunities for Drug Repurposing

С. А. Лашин, А. В. Кочетов, R. A. Ivanov, Anna A. Pashchenko, Е. А. Трифонова
article en

Abstract

Autism spectrum disorder (ASD) and Alzheimer's disease (AD) are neurodevelopmental and neurodegenerative disorders, respectively. While exome sequencing is routinely employed during the early stages of ASD diagnosis, it rarely influences therapeutic strategies. To address this gap, we have reconstructed and analyzed the gene networks linking autism spectrum disorders, Alzheimer's disease, and mTOR signaling. In addition, we have performed a phylostratigraphic analysis that reveals similarities and differences in the evolution of both ASD and Alzheimer's disease predisposition genes. We have shown that almost half of the genes predisposing to autism and two-fifths of the genes predisposing to Alzheimer's disease are directly related to the mTOR signaling pathway. Analysis of Phylostratigraphic Age Index (PAI) value distributions revealed a significant enrichment of evolutionarily ancient genes in both ASD- and AD-related gene sets. When studying the distribution of ASD predisposition genes by Divergence Index (DI) values, a significant enrichment with genes having extremely low DI = 0 has been found. Such low DI values indicate that most likely these genes are under stabilizing selection. Using the ANDVisio tool, both pharmacological and natural mTOR regulators with potential for ASD treatment were selected, such as propofol, dexamethasone, celecoxib, statins, berberine, resveratrol, quercetin, myricetin, mio-inositol, and several amino acids.

International Journal of Molecular SciencesVol. 26(20)
Novosibirsk State University (RU), Institute of Cytology and Genetics (RU)
Openalex Percentile: Top 69%
Genetics and Neurodevelopmental Disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.