MRI reveals therapeutical efficacy of stem cells: An experimental study on the SOD1(G93A) animal model. Issue 1 (31st March 2017)

• Record Type: Journal Article
• Authors: Bontempi, Pietro; Busato, Alice; Bonafede, Roberta; Schiaffino, Lorenzo; Scambi, Ilaria; Sbarbati, Andrea; Mariotti, Raffaella; Marzola, Pasquina
• Is Part Of: Magnetic resonance in medicine. Volume 79:Issue 1(2018)
• Page Start: 459
• Page End: 469
• Publication Date: 2017-03-31
• Subjects: MRI -- amyotrophic lateral sclerosis -- SOD1(G93A) -- voxel‐based morphometry -- mesenchymal stem cells; Nuclear magnetic resonance -- Periodicals; Electron paramagnetic resonance -- Periodicals; 616.07548
• DOI: 10.1002/mrm.26685
• Languages: English
• ISSNs: 0740-3194

Abstract

Abstract : Purpose: The first part of the experiment identifies and validates MRI biomarkers distinctive of the disease progression in the transgenic superoxide dismutase gene (SOD1(G93A)) animal model. The second part assesses the efficacy of a mesenchymal stem cell‐based therapy through the MRI biomarkers previously defined. Methods: The first part identifies MRI differences between SOD1(G93A) and healthy mice. The second part of the experiment follows the disease evolution of stem cell‐treated and non–stem‐cell treated SOD1(G93A) mice. The analysis focused on voxel‐based morphometry and T2 mapping on the brain tissues, and T2‐weighted imaging and diffusion tensor imaging (DTI) on the hind limbs. Results: Comparing diseased mice to healthy control revealed gray matter alterations in the brainstem area, accompanied by increased T2 relaxation time. Differences in muscle volume, muscle signal intensity, fractional anisotropy, axial diffusivity, and radial diffusivity were measured in the hind limbs. In the comparison between stem cell‐treated mice and nontreated ones, differences in muscle volume, muscle signal intensity, and DTI‐derived maps were found. Conclusion: MRI‐derived biomarkers can be used to identify differences between stem cell‐treated and nontreated SOD1(G93A) mice. Magn Reson Med 79:459–469, 2018. © 2017 International Society for Magnetic Resonance in Medicine.