P2X7R mutation disrupts the NLRP3-mediated Th program and predicts poor cardiac allograft outcomes

Francesca D'Addio1, Andrea Vergani2, Luciano Potena3

  • 1International Center for Type 1 Diabetes, Pediatric Clinical Research Center Romeo ed Enrica Invernizzi, "L. Sacco" Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy.

Insights

A P2X7R mutation disrupts the P2X7R/NLRP3 pathway in T cells, causing excessive Th17 generation and poor cardiac transplant outcomes. Restoring NLRP3 function normalizes T-cell profiles and improves outcomes.

Area of Science:

  • Immunology
  • Molecular Biology
  • Transplantation Science

Background:

  • Purinergic receptor-7 (P2X7R) and NOD-like receptor P3 (NLRP3) signaling pathways are crucial in T-cell differentiation.
  • P2X7R regulates Th17 and Th1 generation, while NLRP3 influences Th2 transcription.

Purpose of the Study:

  • To investigate the P2X7R/NLRP3 pathway in T cells and its role in cardiac transplantation outcomes.
  • To elucidate the impact of a P2X7R intracellular region loss-of-function mutation on T-cell differentiation and allograft outcomes.

Main Methods:

  • Analysis of the P2X7R/NLRP3 pathway in T cells from cardiac-transplanted patients with a specific P2X7R mutation.
  • In vitro studies involving transient NLRP3 silencing or overexpression in T cells.
  • Preclinical models with genetic deletion of P2X7R and in vitro human T-cell assays with IL-17 blockade.

Main Results:

  • A P2X7R mutation leads to NLRP3 displacement, excessive Th17 generation, and abrogated Th2 programming.
  • Cardiac transplant patients with the mutant allele exhibit abnormal Th17 generation and poor outcomes.
  • NLRP3 modulation (silencing or overexpression) normalized T-cell profiles.
  • IL-17 blockade reduced Th17 skewing and abrogated severe allograft vasculopathy in preclinical models.

Conclusions:

  • The identified P2X7R mutation dysregulates the P2X7R/NLRP3 pathway in T cells, promoting Th17 skewing.
  • This pathway disruption contributes to adverse outcomes in cardiac-transplanted patients.
  • Targeting this pathway, particularly IL-17, offers potential for personalized therapy in high-risk patients.

Related Concept Videos

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow08:58

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow

This protocol provides a method for the systematic global optimization of genetically encoded biosensors through automation-assisted genetic library generation and assessment. This is coupled with design-of-experiment methodologies to streamline experimentation and enable the selection of genetic components to tune biosensors to specific design outcomes.
540
Design to Implementation Study for Development and Patient Validation of Paper-Based Toehold Switch Diagnostics10:42

Design to Implementation Study for Development and Patient Validation of Paper-Based Toehold Switch Diagnostics

Access to decentralized, low-cost, and high-capacity diagnostics that can be deployed into the community for decentralized testing is critical for combating global health crises. This manuscript describes how to build paper-based diagnostics for viral RNA sequences that can be detected with a portable optical...
3.4K
Exploring Biomolecular Interaction Between the Molecular Chaperone Hsp90 and Its Client Protein Kinase Cdc37 using Field-Effect Biosensing Technology09:39

Exploring Biomolecular Interaction Between the Molecular Chaperone Hsp90 and Its Client Protein Kinase Cdc37 using Field-Effect Biosensing Technology

Field-effect biosensing (FEB) is a label-free technique for detecting biomolecular interactions. It measures the electric current through the graphene biosensor to which the binding targets are immobilized. The FEB technology was used to evaluate biomolecular interactions between Hsp90 and Cdc37 and a strong interaction between the two proteins was...
3.6K
Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions08:31

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

This study aimed to present a strategy for identifying drug-peptide interactions. The strategy involves the biopanning of drug-recognizing short peptides based on a quartz-crystal microbalance (QCM) biosensor, followed by bioinformatics analysis for quantitatively assessing the information obtained for the drug recognition and annotation of the drug-binding sites on...
5.4K
Synthetic Methodology for Asymmetric Ferrocene Derived Bio-conjugate Systems via Solid Phase Resin-based Methodology07:07

Synthetic Methodology for Asymmetric Ferrocene Derived Bio-conjugate Systems via Solid Phase Resin-based Methodology

The synthesis of asymmetric species of ferrocene is challenging using solution techniques. This report focuses on the methods carried out to produce a ferrocene-biotin bioconjugate using facile and clean reactions accomplished via solid-phase synthesis. Incorporation of a thiolate moiety is shown to impart the ability for immobilization on gold...
10.0K
BioMEMS and Cellular Biology: Perspectives and Applications16:30

BioMEMS and Cellular Biology: Perspectives and Applications

The ability to culture cells has revolutionized hypothesis testing in basic cell and molecular biology research. It has become a standard methodology in ...
10.1K