IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v153y2021ip1s0960077921008262.html
   My bibliography  Save this article

Analysis of Th1/Th2 response pattern with Treg cell inhibition and stochastic effect

Author

Listed:
  • Liang, Qiantong
  • Lo, Wing-Cheong

Abstract

T cells differentiate into Th1 or Th2 cells upon maturation to influence different patterns of the immune response. Th1 and Th2 cells regulate each other and their responses are inhibited by Treg cells. With noisy external stimulation, Th1/Th2 cell differentiation can be dynamically balanced. The underlying mechanisms of Th cell differentiation under Treg cell inhibition and the extrinsic noise effects are not yet completely understood. In this paper, a mathematical model of the interactions between Th1 and Th2 cells with Treg cell inhibition and stochastic effects is developed to study the preference of outcomes and the noise-induced hopping among different states. First, we provide the conditions for different asymptotic phases of Th1 and Th2 responses under Treg cell regulation. Numerical simulations are applied to calculate the switching probability and the mean residence time to study how the noise affects the attractiveness of different states. Our results support that due to the stronger inhibitory effect of Treg cells on Th1 cell development, the high-Th2-low-Th1 state is more attractive under small noise effects. Additionally, we show that the attractiveness of the states is affected mainly by the extrinsic noise in Th2 cell signaling.

Suggested Citation

  • Liang, Qiantong & Lo, Wing-Cheong, 2021. "Analysis of Th1/Th2 response pattern with Treg cell inhibition and stochastic effect," Chaos, Solitons & Fractals, Elsevier, vol. 153(P1).
  • Handle: RePEc:eee:chsofr:v:153:y:2021:i:p1:s0960077921008262
    DOI: 10.1016/j.chaos.2021.111472
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077921008262
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.chaos.2021.111472?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Tian Hong & Jianhua Xing & Liwu Li & John J Tyson, 2011. "A Mathematical Model for the Reciprocal Differentiation of T Helper 17 Cells and Induced Regulatory T Cells," PLOS Computational Biology, Public Library of Science, vol. 7(7), pages 1-13, July.
    2. Ye Zheng & Steven Z. Josefowicz & Arnold Kas & Tin-Tin Chu & Marc A. Gavin & Alexander Y. Rudensky, 2007. "Genome-wide analysis of Foxp3 target genes in developing and mature regulatory T cells," Nature, Nature, vol. 445(7130), pages 936-940, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Robert Clewley, 2012. "Hybrid Models and Biological Model Reduction with PyDSTool," PLOS Computational Biology, Public Library of Science, vol. 8(8), pages 1-8, August.
    2. Theinmozhi Arulraj & Debashis Barik, 2018. "Mathematical modeling identifies Lck as a potential mediator for PD-1 induced inhibition of early TCR signaling," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-23, October.
    3. Debasish Mondal & Edward Dougherty & Abhishek Mukhopadhyay & Adria Carbo & Guang Yao & Jianhua Xing, 2014. "Systematic Reverse Engineering of Network Topologies: A Case Study of Resettable Bistable Cellular Responses," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-12, August.
    4. Das Mouli & Murthy Chivukula A. & De Rajat K., 2014. "Second order optimization for the inference of gene regulatory pathways," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 13(1), pages 19-33, February.
    5. Gesham Magombedze & Shigetoshi Eda & Vitaly V Ganusov, 2014. "Competition for Antigen between Th1 and Th2 Responses Determines the Timing of the Immune Response Switch during Mycobaterium avium Subspecies paratuberulosis Infection in Ruminants," PLOS Computational Biology, Public Library of Science, vol. 10(1), pages 1-13, January.
    6. Rawan Abdullah & Irina Badralexi & Andrei Halanay, 2023. "Stability Analysis in a New Model for Desensitization of Allergic Reactions Induced by Chemotherapy of Chronic Lymphocytic Leukemia," Mathematics, MDPI, vol. 11(14), pages 1-21, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:chsofr:v:153:y:2021:i:p1:s0960077921008262. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.