Head-to-Head Comparison of Aptamer- and Antibody-Based Proteomic Platforms in Human Cerebrospinal Fluid Samples from a Real-World Memory Clinic Cohort

High-throughput proteomic platforms are crucial to identify novel Alzheimer's disease (AD) biomarkers and pathways. In this study, we evaluated the reproducibility and reliability of aptamer-based (SomaScan<sup>®</sup> 7k) and antibody-based (Olink<sup>®</sup> Explore 3k) proteomic platforms in cerebrospinal fluid (CSF) samples from the Ace Alzheimer Center Barcelona real-world cohort. Intra- and inter-platform reproducibility were evaluated through correlations between two independent SomaScan<sup>®</sup> assays analyzing the same samples, and between SomaScan<sup>®</sup> and Olink<sup>®</sup> results. Association analyses were performed between proteomic measures, CSF biological traits, sample demographics, and AD endophenotypes. Our 12-category metric of reproducibility combining correlation analyses identified 2428 highly reproducible SomaScan CSF measures, with over 600 proteins well reproduced on another proteomic platform. The association analyses among AD clinical phenotypes revealed that the significant associations mainly involved reproducible proteins. The validation of reproducibility in these novel proteomics platforms, measured using this scarce biomaterial, is essential for accurate analysis and proper interpretation of innovative results. This classification metric could enhance confidence in multiplexed proteomic platforms and improve the design of future panels.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2024-12-31
DOI
https://doi.org/10.3390/ijms26010286
Citations
8
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
1.87

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article

Head-to-Head Comparison of Aptamer- and Antibody-Based Proteomic Platforms in Human Cerebrospinal Fluid Samples from a Real-World Memory Clinic Cohort

Jean‐Charles Lambert, Natalie L. Marchant, Agustı́n Ruiz, Laura Montrreal et al.
8 citations
International Journal of Molecular Sciences
Single-cell and spatial transcriptomics
1.87
article

Head-to-Head Comparison of Aptamer- and Antibody-Based Proteomic Platforms in Human Cerebrospinal Fluid Samples from a Real-World Memory Clinic Cohort

Jean‐Charles Lambert, Natalie L. Marchant, Agustı́n Ruiz, Laura Montrreal, Itziar de Rojas, Adelina Orellana, Maitée Rosende‐Roca, Pamela V. Martino Adami, Alfredo Ramı́rez, Clàudia Olivé, Carlos Cruchaga, Amanda C. Cano, Merçé Boada, Montserrat Alegret, Sergi Valero, Asif M. Khan, Yun Ju Sung, Fernando García‐Gutiérrez, Raquel Puerta, Ruth Frikke‐Schmidt, Alfredo Cabrera‐Socorro, Pablo García‐González, María Victoria Fernández, Óscar Sotolongo‐Grau, Josep Blázquez-Folch, Bart Smets, Lluís Tárraga, Marta Marquié, Andrea Miguel, María Luisa Sarrate Capdevila
article en
8 citations

Abstract

High-throughput proteomic platforms are crucial to identify novel Alzheimer's disease (AD) biomarkers and pathways. In this study, we evaluated the reproducibility and reliability of aptamer-based (SomaScan<sup>®</sup> 7k) and antibody-based (Olink<sup>®</sup> Explore 3k) proteomic platforms in cerebrospinal fluid (CSF) samples from the Ace Alzheimer Center Barcelona real-world cohort. Intra- and inter-platform reproducibility were evaluated through correlations between two independent SomaScan<sup>®</sup> assays analyzing the same samples, and between SomaScan<sup>®</sup> and Olink<sup>®</sup> results. Association analyses were performed between proteomic measures, CSF biological traits, sample demographics, and AD endophenotypes. Our 12-category metric of reproducibility combining correlation analyses identified 2428 highly reproducible SomaScan CSF measures, with over 600 proteins well reproduced on another proteomic platform. The association analyses among AD clinical phenotypes revealed that the significant associations mainly involved reproducible proteins. The validation of reproducibility in these novel proteomics platforms, measured using this scarce biomaterial, is essential for accurate analysis and proper interpretation of innovative results. This classification metric could enhance confidence in multiplexed proteomic platforms and improve the design of future panels.

International Journal of Molecular SciencesVol. 26(1)
University of Copenhagen (DK), Johnson & Johnson (United States) (US), Janssen (Belgium) (BE), Inserm (FR), The University of Texas at San Antonio Health Science Center (US), University of Cologne (DE), Washington University in St. Louis (US), Université de Lille (FR), University Hospital Bonn (DE), Institut Pasteur de Lille (FR), Instituto de Salud Carlos III (ES), German Center for Neurodegenerative Diseases (DE), Copenhagen University Hospital (DK), Rigshospitalet (DK), Centre Hospitalier Universitaire de Lille (FR), Universitat Internacional de Catalunya (ES), Biomedical Research Networking Center on Neurodegenerative Diseases (ES), Institute for Neurodegenerative Disorders (US), Hope Center for Neurological Disorders (US), Cologne Excellence Cluster on Cellular Stress Responses in Aging Associated Diseases (DE), University Hospital Cologne (DE), University College London (GB), Universitat de Barcelona (ES)
Deutsche Forschungsgemeinschaft, Ministerio de Ciencia e Innovación, Universitat de Barcelona, Medical Research Council, Instituto de Salud Carlos III
Openalex Percentile: Top 14%
Single-cell and spatial transcriptomics
1.87
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