Literature DB >> 26658298

Neuroimaging of a minipig model of Huntington's disease: Feasibility of volumetric, diffusion-weighted and spectroscopic assessments.

Robin Schubert1, Frauke Frank2, Nina Nagelmann3, Lennart Liebsch3, Verena Schuldenzucker1, Sarah Schramke4, Maike Wirsig1, Hans Johnson5, Eun Young Kim6, Stefanie Ott1, Eva Hölzner1, Sergej O Demokritov7, Jan Motlik8, Cornelius Faber3, Ralf Reilmann9.   

Abstract

BACKGROUND: As novel treatment approaches for Huntington's disease (HD) evolve, the use of transgenic (tg) large animal models has been considered for preclinical safety and efficacy assessments. It is hoped that large animal models may provide higher reliability in translating preclinical findings to humans, e.g., by using similar endpoints and biomarkers. NEW
METHOD: We here investigated the feasibility to conduct MRI assessments in a recently developed tgHD model in the Libechov minipig. The model is characterized by high genetic homology to humans and a similar body mass and compartments. The minipig brain provides anatomical features that are attractive for imaging studies and could be used as endpoints for disease modifying preclinical studies similar to human HD.
RESULTS: We demonstrate that complex MRI protocols can be successfully acquired with tgHD and wild type (wt) Libechov minipigs. We show that acquisition of anatomical images applicable for volumetric assessments is feasible and outline the development of a segmented MRI brain atlas. Similarly diffusion-weighted imaging (DWI) including fiber tractography is presented. We also demonstrate the feasibility to conduct in vivo metabolic assessments using MR spectroscopy. COMPARISON WITH EXISTING
METHODS: In human HD, these MRI methods are already validated and used as reliable biomarker of disease progression even before the onset of a clinical motor phenotype.
CONCLUSIONS: The results show that the minipig brain is well suited for MRI assessments in preclinical studies. We conclude that further characterization of phenotypical differences between tg and wt animals in sufficiently powered cross-sectional and longitudinal studies is warranted.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Animal models; Brain atlas; MRI; Minipig; Preclinical research

Mesh:

Year:  2015        PMID: 26658298     DOI: 10.1016/j.jneumeth.2015.11.017

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  6 in total

Review 1.  Animal models of closed-skull, repetitive mild traumatic brain injury.

Authors:  Wouter S Hoogenboom; Craig A Branch; Michael L Lipton
Journal:  Pharmacol Ther       Date:  2019-02-26       Impact factor: 12.310

Review 2.  Quantitative Electroencephalographic Biomarkers in Preclinical and Human Studies of Huntington's Disease: Are They Fit-for-Purpose for Treatment Development?

Authors:  Michael K Leuchter; Elissa J Donzis; Carlos Cepeda; Aimee M Hunter; Ana María Estrada-Sánchez; Ian A Cook; Michael S Levine; Andrew F Leuchter
Journal:  Front Neurol       Date:  2017-03-30       Impact factor: 4.003

Review 3.  Effects of iron deficiency and iron supplementation at the host-microbiota interface: Could a piglet model unravel complexities of the underlying mechanisms?

Authors:  Munawar Abbas; Zeynep Hayirli; Hal Drakesmith; Simon C Andrews; Marie C Lewis
Journal:  Front Nutr       Date:  2022-10-04

4.  Behavioral testing of minipigs transgenic for the Huntington gene-A three-year observational study.

Authors:  Verena Schuldenzucker; Robin Schubert; Lisa M Muratori; Frauke Freisfeld; Lorena Rieke; Tamara Matheis; Sarah Schramke; Jan Motlik; Nicole Kemper; Ute Radespiel; Ralf Reilmann
Journal:  PLoS One       Date:  2017-10-09       Impact factor: 3.240

Review 5.  Genetically engineered pigs as models for human disease.

Authors:  Carolin Perleberg; Alexander Kind; Angelika Schnieke
Journal:  Dis Model Mech       Date:  2018-01-22       Impact factor: 5.758

6.  A porcine model of phenylketonuria generated by CRISPR/Cas9 genome editing.

Authors:  Erik A Koppes; Bethany K Redel; Marie A Johnson; Kristen J Skvorak; Lina Ghaloul-Gonzalez; Megan E Yates; Dale W Lewis; Susanne M Gollin; Yijen L Wu; Shawn E Christ; Martine Yerle; Angela Leshinski; Lee D Spate; Joshua A Benne; Stephanie L Murphy; Melissa S Samuel; Eric M Walters; Sarah A Hansen; Kevin D Wells; Uta Lichter-Konecki; Robert A Wagner; Joseph T Newsome; Steven F Dobrowolski; Jerry Vockley; Randall S Prather; Robert D Nicholls
Journal:  JCI Insight       Date:  2020-10-15
  6 in total

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