Marie-Therese Mackmull, Luise Nagel, Fabian Sesterhenn, Jan Muntel, Jan Grossbach, Patrick Stalder, Roland Bruderer, Lukas Reiter, Wilma D. J. van de Berg, Natalie de Souza, Andreas Beyer, Paola Picotti
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引用次数: 12
Abstract
Parkinson’s disease (PD) is a prevalent neurodegenerative disease for which robust biomarkers are needed. Because protein structure reflects function, we tested whether global, in situ analysis of protein structural changes provides insight into PD pathophysiology and could inform a new concept of structural disease biomarkers. Using limited proteolysis–mass spectrometry (LiP–MS), we identified 76 structurally altered proteins in cerebrospinal fluid (CSF) of individuals with PD relative to healthy donors. These proteins were enriched in processes misregulated in PD, and some proteins also showed structural changes in PD brain samples. CSF protein structural information outperformed abundance information in discriminating between healthy participants and those with PD and improved the discriminatory performance of CSF measures of the hallmark PD protein α-synuclein. We also present the first analysis of inter-individual variability of a structural proteome in healthy individuals, identifying biophysical features of variable protein regions. Although independent validation is needed, our data suggest that global analyses of the human structural proteome will guide the development of novel structural biomarkers of disease and enable hypothesis generation about underlying disease processes. This study identifies protein structural changes in cerebrospinal fluid of people with Parkinson’s disease relative to healthy individuals and proposes the concept of structural disease biomarkers. It also analyzes proteome structural variability in healthy people.
期刊介绍:
Nature Structural & Molecular Biology is a comprehensive platform that combines structural and molecular research. Our journal focuses on exploring the functional and mechanistic aspects of biological processes, emphasizing how molecular components collaborate to achieve a particular function. While structural data can shed light on these insights, our publication does not require them as a prerequisite.