Higher-Order Adaptive Dynamical System Modelling of the Role of Epigenetics in Type 2 Diabetes Mellitus

Enrico Yang; Olga Tsoy; Jan Treur

doi:10.1007/978-3-032-07992-3_38

Higher-Order Adaptive Dynamical System Modelling of the Role of Epigenetics in Type 2 Diabetes Mellitus

Enrico Yang, Olga Tsoy, Jan Treur^*

^*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Type 2 diabetes mellitus (T2DM) is a metabolic disorder influenced by environmental and genetic factors. This paper introduces a fifth-order adaptive self-modelling model aimed at understanding the involvement of epigenetic in the development of T2DM and its potential epigenetic treatment. The structure of the model is inspired by biological processes related to insulin resistance, inflammation, and glucose metabolism. The model uses multi-order adaptation to represent the causal relationship in disease development, where higher levels affect the adaptation of lower levels. This structure enables the system to characterize how long-term exposure to harmful inputs leads to dysregulation. At the same time, the introduction of therapeutic interventions at the epigenetic level enables comparative studies. This approach provides a dynamic perspective for understanding the development of type 2 diabetes and the importance of epigenetic mechanisms in disease progression and helps to study the reversibility and curative potential of T2DM at the epigenetic level.

Original language	English
Title of host publication	Proceedings of the Future Technologies Conference, FTC 2025, Volume 4
Editors	Kohei Arai
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	574-601
Number of pages	28
ISBN (Print)	9783032079916
DOIs	https://doi.org/10.1007/978-3-032-07992-3_38
Publication status	Published - 2026
Event	Future Technologies Conference, FTC 2025 - Munich, Germany Duration: 6 Nov 2025 → 7 Nov 2025

Publication series

Name	Lecture Notes in Networks and Systems
Volume	1678 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	Future Technologies Conference, FTC 2025
Country/Territory	Germany
City	Munich
Period	6/11/25 → 7/11/25

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

Keywords

Adaptive network
Epigenetics
Histone
Pathways
Type 2 diabetes mellitus

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10.1007/978-3-032-07992-3_38

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Cite this

Yang, E., Tsoy, O., & Treur, J. (2026). Higher-Order Adaptive Dynamical System Modelling of the Role of Epigenetics in Type 2 Diabetes Mellitus. In K. Arai (Ed.), Proceedings of the Future Technologies Conference, FTC 2025, Volume 4 (pp. 574-601). (Lecture Notes in Networks and Systems; Vol. 1678 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-032-07992-3_38

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title = "Higher-Order Adaptive Dynamical System Modelling of the Role of Epigenetics in Type 2 Diabetes Mellitus",

abstract = "Type 2 diabetes mellitus (T2DM) is a metabolic disorder influenced by environmental and genetic factors. This paper introduces a fifth-order adaptive self-modelling model aimed at understanding the involvement of epigenetic in the development of T2DM and its potential epigenetic treatment. The structure of the model is inspired by biological processes related to insulin resistance, inflammation, and glucose metabolism. The model uses multi-order adaptation to represent the causal relationship in disease development, where higher levels affect the adaptation of lower levels. This structure enables the system to characterize how long-term exposure to harmful inputs leads to dysregulation. At the same time, the introduction of therapeutic interventions at the epigenetic level enables comparative studies. This approach provides a dynamic perspective for understanding the development of type 2 diabetes and the importance of epigenetic mechanisms in disease progression and helps to study the reversibility and curative potential of T2DM at the epigenetic level.",

keywords = "Adaptive network, Epigenetics, Histone, Pathways, Type 2 diabetes mellitus",

author = "Enrico Yang and Olga Tsoy and Jan Treur",

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year = "2026",

doi = "10.1007/978-3-032-07992-3\_38",

language = "English",

isbn = "9783032079916",

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Yang, E, Tsoy, O & Treur, J 2026, Higher-Order Adaptive Dynamical System Modelling of the Role of Epigenetics in Type 2 Diabetes Mellitus. in K Arai (ed.), Proceedings of the Future Technologies Conference, FTC 2025, Volume 4. Lecture Notes in Networks and Systems, vol. 1678 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 574-601, Future Technologies Conference, FTC 2025, Munich, Germany, 6/11/25. https://doi.org/10.1007/978-3-032-07992-3_38

Higher-Order Adaptive Dynamical System Modelling of the Role of Epigenetics in Type 2 Diabetes Mellitus. / Yang, Enrico; Tsoy, Olga ; Treur, Jan.
Proceedings of the Future Technologies Conference, FTC 2025, Volume 4. ed. / Kohei Arai. Springer Science and Business Media Deutschland GmbH, 2026. p. 574-601 (Lecture Notes in Networks and Systems; Vol. 1678 LNNS).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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PY - 2026

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N2 - Type 2 diabetes mellitus (T2DM) is a metabolic disorder influenced by environmental and genetic factors. This paper introduces a fifth-order adaptive self-modelling model aimed at understanding the involvement of epigenetic in the development of T2DM and its potential epigenetic treatment. The structure of the model is inspired by biological processes related to insulin resistance, inflammation, and glucose metabolism. The model uses multi-order adaptation to represent the causal relationship in disease development, where higher levels affect the adaptation of lower levels. This structure enables the system to characterize how long-term exposure to harmful inputs leads to dysregulation. At the same time, the introduction of therapeutic interventions at the epigenetic level enables comparative studies. This approach provides a dynamic perspective for understanding the development of type 2 diabetes and the importance of epigenetic mechanisms in disease progression and helps to study the reversibility and curative potential of T2DM at the epigenetic level.

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Higher-Order Adaptive Dynamical System Modelling of the Role of Epigenetics in Type 2 Diabetes Mellitus

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