Literature DB >> 35091961

Huntington Disease Gene Expression Signatures in Blood Compared to Brain of YAC128 Mice as Candidates for Monitoring of Pathology.

Elsa C Kuijper1, Lodewijk J A Toonen2, Maurice Overzier2, Roula Tsonaka3, Kristina Hettne2, Marco Roos2, Willeke M C van Roon-Mom2, Eleni Mina2.   

Abstract

While the genetic cause of Huntington disease (HD) is known since 1993, still no cure exists. Therapeutic development would benefit from a method to monitor disease progression and treatment efficacy, ideally using blood biomarkers. Previously, HD-specific signatures were identified in human blood representing signatures in human brain, showing biomarker potential. Since drug candidates are generally first screened in rodent models, we aimed to identify HD signatures in blood and brain of YAC128 HD mice and compare these with previously identified human signatures. RNA sequencing was performed on blood withdrawn at two time points and four brain regions from YAC128 and control mice. Weighted gene co-expression network analysis was used to identify clusters of co-expressed genes (modules) associated with the HD genotype. These HD-associated modules were annotated via text-mining to determine the biological processes they represented. Subsequently, the processes from mouse blood were compared with mouse brain, showing substantial overlap, including protein modification, cell cycle, RNA splicing, nuclear transport, and vesicle-mediated transport. Moreover, the disease-associated processes shared between mouse blood and brain were highly comparable to those previously identified in human blood and brain. In addition, we identified HD blood-specific pathology, confirming previous findings for peripheral pathology in blood. Finally, we identified hub genes for HD-associated blood modules and proposed a strategy for gene selection for development of a disease progression monitoring panel.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Biomarker; Gene expression; Huntington disease; Network analysis; YAC128 mice

Mesh:

Substances:

Year:  2022        PMID: 35091961     DOI: 10.1007/s12035-021-02680-8

Source DB:  PubMed          Journal:  Mol Neurobiol        ISSN: 0893-7648            Impact factor:   5.590


  26 in total

Review 1.  Fluid and imaging biomarkers for Huntington's disease.

Authors:  Paul Zeun; Rachael I Scahill; Sarah J Tabrizi; Edward J Wild
Journal:  Mol Cell Neurosci       Date:  2019-02-23       Impact factor: 4.314

2.  Transcriptomic Biomarkers for Huntington's Disease: Are Gene Expression Signatures in Whole Blood Reliable Biomarkers?

Authors:  Maja Zadel; Aleš Maver; Anja Kovanda; Borut Peterlin
Journal:  OMICS       Date:  2018-04

Review 3.  Treating the whole body in Huntington's disease.

Authors:  Jeffrey B Carroll; Gillian P Bates; Joan Steffan; Carsten Saft; Sarah J Tabrizi
Journal:  Lancet Neurol       Date:  2015-11       Impact factor: 44.182

Review 4.  Therapeutic advances in Huntington's Disease.

Authors:  Kathleen M Shannon; Avram Fraint
Journal:  Mov Disord       Date:  2015-07-30       Impact factor: 10.338

5.  Selective striatal neuronal loss in a YAC128 mouse model of Huntington disease.

Authors:  Elizabeth J Slow; Jeremy van Raamsdonk; Daniel Rogers; Sarah H Coleman; Rona K Graham; Yu Deng; Rosemary Oh; Nagat Bissada; Sazzad M Hossain; Yu-Zhou Yang; Xiao-Jiang Li; Elizabeth M Simpson; Claire-Anne Gutekunst; Blair R Leavitt; Michael R Hayden
Journal:  Hum Mol Genet       Date:  2003-07-01       Impact factor: 6.150

6.  Is human blood a good surrogate for brain tissue in transcriptional studies?

Authors:  Chaochao Cai; Peter Langfelder; Tova F Fuller; Michael C Oldham; Rui Luo; Leonard H van den Berg; Roel A Ophoff; Steve Horvath
Journal:  BMC Genomics       Date:  2010-10-20       Impact factor: 3.969

Review 7.  Neurodegenerative processes in Huntington's disease.

Authors:  D Bano; F Zanetti; Y Mende; P Nicotera
Journal:  Cell Death Dis       Date:  2011-11-10       Impact factor: 8.469

8.  Common disease signatures from gene expression analysis in Huntington's disease human blood and brain.

Authors:  Eleni Mina; Willeke van Roon-Mom; Kristina Hettne; Erik van Zwet; Jelle Goeman; Christian Neri; Peter A C 't Hoen; Barend Mons; Marco Roos
Journal:  Orphanet J Rare Dis       Date:  2016-08-01       Impact factor: 4.123

9.  edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.

Authors:  Mark D Robinson; Davis J McCarthy; Gordon K Smyth
Journal:  Bioinformatics       Date:  2009-11-11       Impact factor: 6.937

Review 10.  Huntington disease: a single-gene degenerative disorder of the striatum.

Authors:  Peggy C Nopoulos
Journal:  Dialogues Clin Neurosci       Date:  2016-03       Impact factor: 5.986

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