# In silico reconstruction of the gene network for cytokine regulation of ASD-associated genes and proteins

**Authors:** N.M. Levanova, E.G. Vergunov, A.N. Savostyanov, I.V. Yatsyk, V.A. Ivanisenko

PMC · DOI: 10.18699/vjgb-25-105 · Vavilov Journal of Genetics and Breeding · 2025-12-01

## TL;DR

This study uses AI to map how cytokines regulate genes and proteins linked to autism, identifying key cytokines that could be targeted for treatment.

## Contribution

The novel use of the ANDSystem AI platform to reconstruct a cytokine-regulated gene network specific to ASD pathogenesis.

## Key findings

- 110 cytokines regulate 58 ASD-related proteins and 91 ASD-associated genes.
- 21 cytokines were identified as having the strongest influence on the regulatory network.
- Eight cytokines (e.g., IL-4, TNF-α) are prioritized and linked to existing drug targets.

## Abstract

Accumulated evidence links dysregulated cytokine signaling to the pathogenesis of autism spectrum disorder (ASD), implicating genes, proteins, and their intermolecular networks. This paper systematizes these findings using bioinformatics analysis and machine learning methods. The primary tool employed in the study was the ANDSystem cognitive platform, developed at the Institute of Cytology and Genetics, which utilizes artificial intelligence techniques for automated knowledge extraction from biomedical databases and scientific publications. Using ANDSystem, we reconstructed a gene network of cytokine-mediated regulation of autism spectrum disorder (ASD)-associated genes and proteins. The analysis identified 110 cytokines that regulate the activity, degradation, and transport of 58 proteins involved in ASD pathogenesis, as well as the expression of 91 ASD-associated genes. Gene Ontology (GO) enrichment analysis revealed statistically significant associations of these genes with biological processes related to the development and function of the central nervous system. Furthermore, topological network analysis and functional significance assessment based on association with ASD-related GO biological processes allowed us to identify 21 cytokines exerting the strongest influence on the regulatory network. Among these, eight cytokines (IL-4, TGF-β1, BMP4, VEGFA, BMP2, IL-10, IFN-γ, TNF-α) had the highest priority, ranking at the top across all employed metrics. Notably, eight of the 21 prioritized cytokines (TNF-α, IL-6, IL-4, VEGFA, IL-2, IL-1β, IFN-γ, IL-17) are known targets of drugs currently used as immunosuppressants and antitumor agents. The pivotal role of these cytokines in ASD pathogenesis provides a rationale for potentially repurposing such inhibitory drugs for the treatment of autism spectrum disorders

## Linked entities

- **Chemicals:** IL-4 (PubChem CID 171905173), BMP4 (PubChem CID 172638715), IL-10 (PubChem CID 146070), IL-6 (PubChem CID 165368475), IL-2 (PubChem CID 51397006)
- **Diseases:** autism spectrum disorder (MONDO:0005258)

## Full-text entities

- **Genes:** VEGFA (vascular endothelial growth factor A) [NCBI Gene 7422] {aka L-VEGF, MVCD1, VEGF, VPF}, BMP2 (bone morphogenetic protein 2) [NCBI Gene 650] {aka BDA2, BMP2A, SSFSC, SSFSC1}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, IL4 (interleukin 4) [NCBI Gene 3565] {aka BCGF-1, BCGF1, BSF-1, BSF1, IL-4}, IFNG (interferon gamma) [NCBI Gene 3458] {aka IFG, IFI, IMD69}, BMP4 (bone morphogenetic protein 4) [NCBI Gene 652] {aka BMP2B, BMP2B1, MCOPS6, OFC11, ZYME}, IL2 (interleukin 2) [NCBI Gene 3558] {aka IL-2, TCGF, lymphokine}, TGFB1 (transforming growth factor beta 1) [NCBI Gene 7040] {aka CAEND1, CED, DPD1, IBDIMDE, LAP, TGF-beta1}, IL10 (interleukin 10) [NCBI Gene 3586] {aka CSIF, GVHDS, IL-10, IL10A, TGIF}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, IL17A (interleukin 17A) [NCBI Gene 3605] {aka CTLA-8, CTLA8, IL-17, IL-17A, IL17, ILA17}, IL1B (interleukin 1 beta) [NCBI Gene 3553] {aka IL-1, IL1-BETA, IL1F2, IL1beta}
- **Diseases:** ASD (MESH:D000067877)

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12795833/full.md

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Source: https://tomesphere.com/paper/PMC12795833