Rebecca Kordikowski Boix, Erik Bos, Milad Shademan, Sander Mallon, Sofie van Zanen-Gerhardt, Ngoc Lu-Nguyen, Alberto Malerba, Christina J J Coenen de Roo, Vered Raz
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引用次数: 0
Abstract
The tongue facilitates vital activities such as swallowing. Swallowing difficulties (dysphagia) are common in the elderly and in many adult-onset neuromuscular diseases. In oculopharyngeal muscular dystrophy (OPMD), dysphagia is often the first symptom. OPMD is an autosomal dominant myopathy caused by a trinucleotide expansion mutation in the gene encoding PABPN1. The expanded PABPN1 forms insoluble nuclear aggregates that reduce the levels of the soluble form. Clinical tongue involvement in OPMD has been documented but is poorly understood. Histopathology of the tongue in OPMD mouse models was investigated by light and electron microscopy combined with RNA sequencing. PABPN1 nuclear aggregates were found at moderate levels, whereas deposition of insoluble PABPN1 in blood vessels was prominent already in 4-month-old mice. Muscle wasting in the tongue was age-associated. RNA signatures of the OPMD tongue were enriched for mitochondrial and cytoskeletal genes. Electron microscopy revealed abnormalities in sarcomere and mitochondria organization in A17/+, suggesting an energy and contractile deficit in OPMD tongue. This detailed analysis of the histopathology of the tongue in the A17/+ mouse model opens new avenues for understanding the mechanisms of dysphagia.
期刊介绍:
The American Journal of Pathology, official journal of the American Society for Investigative Pathology, published by Elsevier, Inc., seeks high-quality original research reports, reviews, and commentaries related to the molecular and cellular basis of disease. The editors will consider basic, translational, and clinical investigations that directly address mechanisms of pathogenesis or provide a foundation for future mechanistic inquiries. Examples of such foundational investigations include data mining, identification of biomarkers, molecular pathology, and discovery research. Foundational studies that incorporate deep learning and artificial intelligence are also welcome. High priority is given to studies of human disease and relevant experimental models using molecular, cellular, and organismal approaches.