Analysis of single nucleotide polymorphisms implicate mTOR signalling in the development of new-onset diabetes after

S Chand1, A J McKnight2, S Shabir1

  • 1Department of Nephrology and Kidney Transplantation, Queen Elizabeth Hospital, Birmingham B15 2WB, United Kingdom; Centre for Translational Inflammation Research, University of Birmingham, Birmingham B15 2WB, United Kingdom.

BBA Clinical
|April 7, 2016
PubMed
Abstract

Insights

This study identified five gene variants associated with new-onset diabetes after transplantation (NODAT) in kidney transplant recipients. These findings suggest the mTOR signaling pathway may play a role in NODAT development.

Area of Science:

  • Nephrology
  • Transplantation immunology
  • Medical genetics

Background:

  • Long-term kidney transplant outcomes are impacted by new-onset diabetes after transplantation (NODAT).
  • Contemporary immunosuppression regimens require validation of genetic associations with NODAT.
  • Serial biochemical testing is crucial for accurate NODAT diagnosis.

Purpose of the Study:

  • To validate candidate gene variants associated with NODAT development in kidney transplant recipients.
  • To investigate the role of specific single nucleotide polymorphisms (SNPs) in NODAT.
  • To identify potential genetic markers for NODAT risk.

Main Methods:

  • Prospective follow-up of 112 kidney transplant recipients.
  • Serial biochemical testing including oral glucose tolerance tests at 7, 90, and 365 days post-transplant.
  • Analysis of 37 candidate gene variants (SNPs) in 68 eligible patients.

Main Results:

  • Over 25% of patients developed NODAT.
  • Five SNPs (rs16936667:PRDM14, rs1801282:PPARG, rs8192678:PPARGC1A, rs2144908:HNF4A, rs2340721:ATF6) were significantly associated with NODAT.
  • Associations remained significant after adjusting for age, sex, BMI, and BMI change.

Conclusions:

  • Replication study implicates specific SNPs in NODAT development.
  • Findings suggest mTOR signaling pathway as a central regulator of NODAT.
  • Highlights the importance of biochemical phenotyping for genotype-phenotype associations.