Plasma Proteomic Signatures for Alzheimer's Disease: Comparable Accuracy to <scp>ATN</scp> Biomarkers and Cross‐Platform Validation

Compared with prior proteomic-based studies on the same dataset, our findings attained higher specificity and sensitivity for AD classification while utilizing a smaller panel of analytes. We also confirmed the reliability and consistency of this signature within a different population from a different platform. The plasma proteomic platforms explored were, however, not sufficient to determine MCI decliners versus non-decliners.

Authors

Institutions

Publication Details

Journal
Annals of Clinical and Translational Neurology
Published
2025-10-13
DOI
https://doi.org/10.1002/acn3.70227
Primary Topic
Alzheimer's disease research and treatments
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Plasma Proteomic Signatures for Alzheimer's Disease: Comparable Accuracy to ATN Biomarkers and Cross‐Platform Validation

Anna Matton, Agustı́n Ruiz, Oliver Robinson, Merçé Boada et al.
Annals of Clinical and Translational Neurology
Alzheimer's disease research and treatments
article

Plasma Proteomic Signatures for Alzheimer's Disease: Comparable Accuracy to ATN Biomarkers and Cross‐Platform Validation

Anna Matton, Agustı́n Ruiz, Oliver Robinson, Merçé Boada, Ming-guang Hu, Raquel Puerta, Christina M. Lill, Lefkos Middleton, Pilar Sánz
article en

Abstract

Compared with prior proteomic-based studies on the same dataset, our findings attained higher specificity and sensitivity for AD classification while utilizing a smaller panel of analytes. We also confirmed the reliability and consistency of this signature within a different population from a different platform. The plasma proteomic platforms explored were, however, not sufficient to determine MCI decliners versus non-decliners.

Annals of Clinical and Translational NeurologyVol. 13(2)
The University of Texas at San Antonio Health Science Center (US), University of Münster (DE), Karolinska Institutet (SE), Universitat Internacional de Catalunya (ES), Biomedical Research Networking Center on Neurodegenerative Diseases (ES), Institute for Neurodegenerative Disorders (US), Imperial College London (GB)
U.S. Department of Defense, Michael J. Fox Foundation for Parkinson's Research, Alzheimer's Disease Neuroimaging Initiative, Cure Alzheimer's Fund, Agentschap Innoveren en Ondernemen, EU Joint Programme – Neurodegenerative Disease Research, European Federation of Pharmaceutical Industries and Associations, UK Research and Innovation, Ministerio de Ciencia, Innovación y Universidades, Rare Diseases Clinical Research Network, National Institute for Health and Care Research, Imperial College London, Deutsche Forschungsgemeinschaft, China Scholarship Council, Alzheimerfonden, Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas, Grifols, National Institutes of Health, Instituto de Salud Carlos III, European Regional Development Fund, Center for Innovative Medicine, National Institute of Neurological Disorders and Stroke, National Center for Advancing Translational Sciences
Openalex Percentile: Top 64%
Alzheimer's disease research and treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.