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Related Concept Videos

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Related Experiment Video

Updated: Oct 12, 2025

Real-time Live Imaging of T-cell Signaling Complex Formation
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Continuous Modeling of T CD4 Lymphocyte Activation and Function.

David Martínez-Méndez1, Luis Mendoza2,3, Carlos Villarreal1,3

  • 1Instituto de Física, Universidad Nacional Autónoma de México, Mexico City, Mexico.

Frontiers in Immunology
|November 22, 2021
PubMed
Summary

This study models T cell activation, showing how adenosine monophosphate-activated protein kinase (AMPK) regulates metabolism. It reveals distinct metabolic shifts during effector T cell differentiation, impacting immune responses.

Keywords:
CTLA-4T CD4 cellsT cell receptorlymphocyte activationmTORmathematical modelmetabolismregulatory network

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Area of Science:

  • Immunology
  • Computational Biology
  • Cell Metabolism

Background:

  • T CD4+ cells are crucial for adaptive immunity, requiring T-cell receptor and co-stimulatory signals for activation.
  • Intracellular signaling networks, including metabolic processes, regulate T cell activation, differentiation, and function.
  • Adenosine monophosphate-activated protein kinase (AMPK) controls cellular metabolism, balancing oxidative phosphorylation (OXPHOS) and glycolysis.

Purpose of the Study:

  • To develop a mathematical model integrating T cell signaling and metabolic regulation.
  • To simulate early T cell activation events, including anergy induction and checkpoint blockade.
  • To investigate the role of AMPK in metabolic shifts during T cell differentiation.

Main Methods:

  • A 51-node continuous mathematical model was created to simulate T cell activation dynamics.
  • The model incorporates signaling pathways and metabolic regulation, including AMPK's role.
  • Simulations were performed to analyze T cell responses to co-stimulation defects, CTLA-4 blockade, and cytokine-induced differentiation.

Main Results:

  • The model successfully simulated anergy, CTLA-4 blockade effects, and cytokine-driven differentiation.
  • AMPK's role in adjusting the OXPHOS-glycolysis balance during effector function development was described.
  • A transient OXPHOS increase followed by sustained glycolysis was observed in Th1, Th2, and Th17 differentiation, contrasting with Treg cells favoring OXPHOS.

Conclusions:

  • Metabolic reprogramming, particularly the interplay between OXPHOS and glycolysis regulated by AMPK, is fundamental to T cell activation and differentiation.
  • Distinct metabolic profiles characterize different effector T cell phenotypes, with implications for immune response outcomes.
  • The model provides a framework for understanding T cell metabolic regulation and its impact on immune cell function.