Radiogenomics of C9orf72 Expansion Carriers Reveals Global Transposable Element Derepression and Enables Prediction of Thalamic Atrophy and Clinical Impairment
| Autor: | Luke W. Bonham, Ethan G. Geier, Daniel W. Sirkis, Josiah K. Leong, Eliana Marisa Ramos, Qing Wang, Anna Karydas, Suzee E. Lee, Virginia E. Sturm, Russell P. Sawyer, Adit Friedberg, Justin K. Ichida, Aaron D. Gitler, Leo Sugrue, Michael Cordingley, Walter Bee, Eckard Weber, Joel Kramer, Katherine P. Rankin, Howard J. Rosen, Adam L. Boxer, William W. Seeley, John Ravits, Bruce L. Miller, Jennifer S. Yokoyama |
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| Rok vydání: | 2023 |
| Předmět: |
Male
radiogenomics Neurodegenerative Medical and Health Sciences Rare Diseases Clinical Research thalamus C9orf72 Acquired Cognitive Impairment Genetics Humans 2.1 Biological and endogenous factors Aetiology Alzheimer's Disease Related Dementias (ADRD) Neurology & Neurosurgery C9orf72 Protein Amyotrophic Lateral Sclerosis Human Genome Psychology and Cognitive Sciences neurodegeneration Neurosciences Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) Brain Disorders Frontotemporal Dementia (FTD) Frontotemporal Dementia Neurological DNA Transposable Elements Female Dementia Atrophy transposable elements ALS |
| Zdroj: | The Journal of neuroscience : the official journal of the Society for Neuroscience, vol 43, iss 2 |
| Popis: | Hexanucleotide repeat expansion (HRE) within C9orf72 is the most common genetic cause of frontotemporal dementia (FTD). Thalamic atrophy occurs in both sporadic and familial FTD but is thought to distinctly affect HRE carriers. Separately, emerging evidence suggests widespread de-repression of transposable elements (TEs) in the brain in several neurodegenerative diseases, including C9orf72 HRE-mediated FTD (C9-FTD). Whether TE activation can be measured in peripheral blood and how the reduction in peripheral C9orf72 expression observed in HRE carriers relates to atrophy and clinical impairment remain unknown. We used the FreeSurfer pipeline and its extensions to assess the effects of C9orf72 HRE and clinical diagnosis (n = 78) on atrophy of thalamic nuclei. We also generated a novel, whole-blood RNA-seq dataset to determine the relationships between peripheral C9orf72 expression, TE activation, thalamic atrophy, and clinical severity (n = 114). We confirmed global thalamic atrophy and reduced C9orf72 expression in HRE carriers. Moreover, we identified disproportionate atrophy of the right mediodorsal lateral nucleus in HRE carriers and showed that C9orf72 expression associated with clinical severity, independent of thalamic atrophy. Strikingly, we found global peripheral activation of TEs, including the human endogenous LINE-1 element, L1HS. L1HS levels were associated with atrophy of multiple pulvinar nuclei, a thalamic region implicated in C9-FTD. Integration of peripheral transcriptomic and neuroimaging data from HRE carriers revealed atrophy of specific thalamic nuclei; demonstrated that C9orf72 levels relate to clinical severity; and identified marked de-repression of TEs, including L1HS, which predicted atrophy of FTD-relevant thalamic nuclei.Significance StatementPathogenic repeat expansion in C9orf72 is the most frequent genetic cause of frontotemporal dementia and amyotrophic lateral sclerosis (C9-FTD/ALS). The clinical, neuroimaging, and pathological features of C9-FTD/ALS are well-characterized, whereas the intersections of transcriptomic dysregulation and brain structure remain largely unexplored. Herein, we utilized a novel radiogenomic approach to examine the relationship between peripheral blood transcriptomics and thalamic atrophy, a neuroimaging feature disproportionately impacted in C9-FTD/ALS. We confirmed reduction of C9orf72 in blood and found broad dysregulation of transposable elements—genetic elements typically repressed in the human genome—in symptomatic C9orf72 expansion carriers, which associated with atrophy of thalamic nuclei relevant to FTD. C9orf72 expression was also associated with clinical severity, suggesting that peripheral C9orf72 levels capture disease-relevant information. |
| Databáze: | OpenAIRE |
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