title: Mouse models rarely mimic the transcriptome of human neurodegenerative diseases: A systematic bioinformatics-based critique of preclinical models.
abstract: Translational research for neurodegenerative disease depends intimately upon animal models. Unfortunately, promising therapies developed using mouse models mostly fail in clinical trials, highlighting uncertainty about how well mouse models mimic human neurodegenerative disease at the molecular level. We compared the transcriptional signature of neurodegeneration in mouse models of Alzheimer׳s disease (AD), Parkinson׳s disease (PD), Huntington׳s disease (HD) and amyotrophic lateral sclerosis (ALS) to human disease. In contrast to aging, which demonstrated a conserved transcriptome between humans and mice, only 3 of 19 animal models showed significant enrichment for gene sets comprising the most dysregulated up- and down-regulated human genes. Spearman׳s correlation analysis revealed even healthy human aging to be more closely related to human neurodegeneration than any mouse model of AD, PD, ALS or HD. Remarkably, mouse models frequently upregulated stress response genes that were consistently downregulated in human diseases. Among potential alternate models of neurodegeneration, mouse prion disease outperformed all other disease-specific models. Even among the best available animal models, conserved differences between mouse and human transcriptomes were found across multiple animal model versus human disease comparisons, surprisingly, even including aging. Relative to mouse models, mouse disease signatures demonstrated consistent trends toward preserved mitochondrial function protein catabolism, DNA repair responses, and chromatin maintenance. These findings suggest a more complex and multifactorial pathophysiology in human neurodegeneration than is captured through standard animal models, and suggest that even among conserved physiological processes such as aging, mice are less prone to exhibit neurodegeneration-like changes. This work may help explain the poor track record of mouse-based translational therapies for neurodegeneration and provides a path forward to critically evaluate and improve animal models of human disease.
authors: Department of Neurosurgery, Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA 94305, USA. Electronic address: tcburns@stanford.edu.
authors: Terry C
authors: TC
authors: Burns
authors: Department of Neurosurgery, Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA 94305, USA.
authors: Matthew D
authors: MD
authors: Li
authors: Department of Neurosurgery, Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA 94305, USA.
authors: Swapnil
authors: S
authors: Mehta
authors: Department of Neurosurgery, Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA 94305, USA.
authors: Ahmed J
authors: AJ
authors: Awad
authors: Department of Neurosurgery, Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA 94305, USA.
authors: Alexander A
authors: AA
authors: Morgan
mesh_terms: D000375:Aging / Q000235:genetics; D000818:Animals; D030801:Animals, Genetically Modified; D019295:Computational Biology; D004195:Disease Models, Animal; D006801:Humans; D051379:Mice; D019636:Neurodegenerative Diseases / Q000235:genetics*; D013045:Species Specificity; D059467:Transcriptome; D057170:Translational Research, Biomedical
keywords: Alzheimer׳s disease; Amyotrophic lateral sclerosis; Bioinformatics; Gene set enrichment; Huntington׳s disease; Neurodegeneration; Parkinson׳s disease