A Multiplexed Urinary Biomarker Panel Has Potential for Alzheimer's Disease Diagnosis Using Targeted Proteomics and Machine Learning

As disease-modifying therapies are now available for Alzheimer's disease (AD), accessible, accurate and affordable biomarkers to support diagnosis are urgently needed. We sought to develop a mass spectrometry-based urine test as a high-throughput screening tool for diagnosing AD. We collected urine from a discovery cohort (n = 11) of well-characterised individuals with AD (n = 6) and their asymptomatic, CSF biomarker-negative study partners (n = 5) and used untargeted proteomics for biomarker discovery. Protein biomarkers identified were taken forward to develop a high-throughput, multiplexed and targeted proteomic assay which was tested on an independent cohort (n = 21). The panel of proteins identified are known to be involved in AD pathogenesis. In comparing AD and controls, a panel of proteins including MIEN1, TNFB, VCAM1, REG1B and ABCA7 had a classification accuracy of 86%. These proteins have been previously implicated in AD pathogenesis. This suggests that urine-targeted mass spectrometry has potential utility as a diagnostic screening tool in AD.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:24

Enthalten in:

International journal of molecular sciences - 24(2023), 18 vom: 06. Sept.

Sprache:

Englisch

Beteiligte Personen:

Hällqvist, Jenny [VerfasserIn]
Pinto, Rui C [VerfasserIn]
Heywood, Wendy E [VerfasserIn]
Cordey, Jonjo [VerfasserIn]
Foulkes, Alexander J M [VerfasserIn]
Slattery, Catherine F [VerfasserIn]
Leckey, Claire A [VerfasserIn]
Murphy, Eimear C [VerfasserIn]
Zetterberg, Henrik [VerfasserIn]
Schott, Jonathan M [VerfasserIn]
Mills, Kevin [VerfasserIn]
Paterson, Ross W [VerfasserIn]

Links:

Volltext

Themen:

Alzheimer’s
Biomarkers
Diagnosis
Intracellular Signaling Peptides and Proteins
Journal Article
MIEN1 protein, human
Machine learning
Mass spectrometry
Neoplasm Proteins
Proteomics
Urine

Anmerkungen:

Date Completed 29.09.2023

Date Revised 03.10.2023

published: Electronic

Citation Status MEDLINE

doi:

10.3390/ijms241813758

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM362583250