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Analysis of the Epigenetics Leading to Inflammatory Bowel Disease Using an Adaptive Self-modeling Network

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Abstract

Inflammatory Bowel Disease (IBD) is an umbrella term for chronic conditions (e.g. Ulcerative colitis and Crohn’s disease) that cause chronic inflammation in the gastrointestinal tract. Recent studies have shown that microRNA-21 plays an important role in promoting inflammatory responses by suppressing the
anti-inflammatory genes. This paper presents a fifth-order adaptive self-modeling network model that shows the role of epigenetic changes in the progression of IBD under elevated miR-21 activity and evaluates a potential epigenetic therapeutic strategy targeting this mechanism. The model employs multilevel hierarchical adaptivity, where each adaptation level supervises the behavior and structural configuration of the level below it. Using this model, a simulation is constructed. The first simulation demonstrates how miR21 overexpression contributes to IBD. In the second scenario, the model demonstrates an epigenetic therapy to show the effect of antagomir-21, which inhibits miR-21. The simulation of this hypothetical therapy shows the potential to reduce inflammation and restore immune balance in IBD patients.
Original languageEnglish
Title of host publicationProceedings of the Future Technologies Conference (FTC 2025)
Subtitle of host publicationVolume 4
EditorsKohei Arai
PublisherSpringer
Pages602-623
Number of pages22
Volume4
ISBN (Electronic)9783032079923
ISBN (Print)9783032079916
DOIs
Publication statusPublished - 2026

Publication series

NameLecture Notes in Networks and Systems
Volume1678 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

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