T2 weighted MRI for assessing renal lesions in transgenic mouse models of tuberous sclerosis

Maria Kalogerou1, Yadan Zhang, Jian Yang

  • 1Institute of Medical Genetics, School of Medicine, Cardiff University, Heath Park, Cardiff CF14 4XN, UK.

Abstract

Insights

T2 weighted MRI can detect tuberous sclerosis (TSC) renal lesions in mouse models. While effective for cysts, MRI needs improved sensitivity for solid tumors in pre-clinical TSC research.

Area of Science:

  • Biomedical imaging
  • Pre-clinical research
  • Genetics and disease modeling

Background:

  • Tuberous sclerosis (TSC) is a genetic disorder characterized by the development of various tumors, particularly in the kidneys.
  • Transgenic mouse models are crucial for studying TSC pathogenesis and evaluating therapeutic interventions.
  • Accurate in vivo assessment of renal lesions is vital for pre-clinical trials in TSC.

Purpose of the Study:

  • To evaluate the efficacy of T2 weighted magnetic resonance imaging (MRI) for detecting and characterizing renal lesions in mouse models of tuberous sclerosis.
  • To compare MRI findings with histological analysis for comprehensive lesion assessment.

Main Methods:

  • T2 weighted MRI scans were performed on Tsc1(+/-) and Tsc2(+/-) mice at baseline and after a 2-month interval.
  • One Tsc2(+/-) mouse received rapamycin treatment between scans.
  • Post-scan, mice were sacrificed, and MRI data were correlated with renal histology.

Main Results:

  • T2 weighted MRI successfully identified all types of TSC-associated renal lesions, with a minimum detectable size of <0.1 mm³.
  • Lesions showed significant growth in untreated mice and shrinkage in the rapamycin-treated mouse over the 2-month period.
  • MRI detected 66% of cysts and cystadenomas but only 29% of solid tumors compared to histology.

Conclusions:

  • T2 weighted MRI shows promise as a tool for assessing certain renal lesions in pre-clinical TSC studies.
  • Enhanced MRI sensitivity is necessary for accurate detection of solid renal tumors in these models.

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