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T Cell Activation and Clonal Selection

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T cells are integral to our adaptive immune system, recognizing and effectively responding to foreign antigens. T cell activation and clonal selection are pivotal in orchestrating this immune response. This article elucidates these mechanisms, detailing the roles of cluster of differentiation (CD) markers, major histocompatibility complex (MHC) molecules, costimulatory signals, and the process of clonal selection.
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The T and B lymphocytes of the adaptive immune system develop from common lymphoid progenitor cells in the bone marrow. These progenitors give rise to precursors that eventually develop into both T and B lymphocytes. As these precursors mature, they gain the ability to detect and respond to foreign antigens in the body, a process known as immunocompetence. Additionally, these precursors acquire self-tolerance, a process that ensures they do not react to self-antigens. This intricate system...
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When T cells with CD4 markers are activated, they give rise to two types of effector cells: helper T cells and regulatory T cells. Meanwhile, T cells with CD8 markers differentiate into effector cytotoxic T cells. The differentiation of CD4 T cells into helper T cell subsets, such as Th1, Th2, and Th17 cells, is dependent on the antigen type, antigen-presenting cell, and regulatory cytokines.
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MHC molecules are key players in the immune response, enabling T cells to recognize and respond to specific antigens. They are present on the surface of all nucleated cells in the body and are instrumental in presenting antigens to T cells and activating them. T cells recognize the MHC-antigen complex and initiate an immune response. MHC class I and MHC class II are two main types of MHC molecules, each associated with a distinct antigen processing pathway.
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Measurement of T Cell Alloreactivity Using Imaging Flow Cytometry
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Metabolic Pathways in Alloreactive T Cells.

Rebecca A Brown1, Craig A Byersdorfer1

  • 1Division of Blood and Marrow Transplant and Cellular Therapies, Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States.

Frontiers in Immunology
|August 15, 2020
PubMed
Summary

Graft-versus-host disease (GVHD) hinders allogeneic stem cell transplants. Understanding T cell metabolism is key to mitigating GVHD, exploring pathways like glycolysis and fat oxidation for better transplant outcomes.

Keywords:
AMPKGVHD biologyalloreactive T cellsfatty acid oxidation (FAO)glycolysisimmunometabolismmammalian target of rapamycin (mTOR)

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Area of Science:

  • Immunology
  • Metabolic Research
  • Hematopoietic Stem Cell Transplantation

Background:

  • Allogeneic hematopoietic stem cell transplantation (aHSCT) offers curative potential for hematologic diseases.
  • Graft-versus-host disease (GVHD), a major complication, arises from donor T cells attacking recipient tissues.
  • T cell metabolism is intrinsically linked to cellular function, making it crucial for understanding GVHD.

Purpose of the Study:

  • To review metabolic pathways utilized by alloreactive T cells in GVHD.
  • To identify key metabolic proteins and pathways connecting T cell metabolism to effector functions.
  • To explore potential reconciliation of seemingly contradictory metabolic findings in T cells.

Main Methods:

  • Literature review of immunometabolism in the context of GVHD.
  • Analysis of current research on T cell metabolic pathways (glycolysis, fat oxidation, glutamine metabolism).
  • Discussion of the impact of metabolism on aHSCT and GVHD resolution, including butyrate metabolism.

Main Results:

  • Alloreactive T cells utilize glycolysis, fat oxidation, and glutamine metabolism.
  • Metabolic pathways significantly influence T cell effector functions in GVHD.
  • Butyrate metabolism shows potential for GVHD resolution.

Conclusions:

  • Understanding alloreactive T cell metabolism is fundamental to deciphering GVHD biology.
  • Reconciling diverse metabolic findings offers insights into GVHD initiation, propagation, and mitigation.
  • Future immunometabolism research should address current limitations and explore causality.