Comparison of ultrasensitive and mass spectrometry quantification of blood-based amyloid biomarkers for Alzheimer's disease diagnosis in a memory clinic cohort.


Journal

Alzheimer's research & therapy
ISSN: 1758-9193
Titre abrégé: Alzheimers Res Ther
Pays: England
ID NLM: 101511643

Informations de publication

Date de publication:
18 02 2023
Historique:
received: 23 11 2022
accepted: 09 02 2023
entrez: 21 2 2023
pubmed: 22 2 2023
medline: 25 2 2023
Statut: epublish

Résumé

Alzheimer's disease (AD) is a complex neurodegenerative disorder with β-amyloid pathology as a key underlying process. The relevance of cerebrospinal fluid (CSF) and brain imaging biomarkers is validated in clinical practice for early diagnosis. Yet, their cost and perceived invasiveness are a limitation for large-scale implementation. Based on positive amyloid profiles, blood-based biomarkers should allow to detect people at risk for AD and to monitor patients under therapeutics strategies. Thanks to the recent development of innovative proteomic tools, the sensibility and specificity of blood biomarkers have been considerably improved. However, their diagnosis and prognosis relevance for daily clinical practice is still incomplete. The Plasmaboost study included 184 participants from the Montpellier's hospital NeuroCognition Biobank with AD (n = 73), mild cognitive impairments (MCI) (n = 32), subjective cognitive impairments (SCI) (n = 12), other neurodegenerative diseases (NDD) (n = 31), and other neurological disorders (OND) (n = 36). Dosage of β-amyloid biomarkers was performed on plasma samples using immunoprecipitation-mass spectrometry (IPMS) developed by Shimadzu (IPMS-Shim Aβ The amyloid IPMS-Shim composite biomarker (combining APP Our study confirms the potential usefulness of amyloid plasma biomarkers, especially the IPMS-Shim technology, as a screening tool for early AD patients.

Sections du résumé

BACKGROUND
Alzheimer's disease (AD) is a complex neurodegenerative disorder with β-amyloid pathology as a key underlying process. The relevance of cerebrospinal fluid (CSF) and brain imaging biomarkers is validated in clinical practice for early diagnosis. Yet, their cost and perceived invasiveness are a limitation for large-scale implementation. Based on positive amyloid profiles, blood-based biomarkers should allow to detect people at risk for AD and to monitor patients under therapeutics strategies. Thanks to the recent development of innovative proteomic tools, the sensibility and specificity of blood biomarkers have been considerably improved. However, their diagnosis and prognosis relevance for daily clinical practice is still incomplete.
METHODS
The Plasmaboost study included 184 participants from the Montpellier's hospital NeuroCognition Biobank with AD (n = 73), mild cognitive impairments (MCI) (n = 32), subjective cognitive impairments (SCI) (n = 12), other neurodegenerative diseases (NDD) (n = 31), and other neurological disorders (OND) (n = 36). Dosage of β-amyloid biomarkers was performed on plasma samples using immunoprecipitation-mass spectrometry (IPMS) developed by Shimadzu (IPMS-Shim Aβ
RESULTS
The amyloid IPMS-Shim composite biomarker (combining APP
CONCLUSIONS
Our study confirms the potential usefulness of amyloid plasma biomarkers, especially the IPMS-Shim technology, as a screening tool for early AD patients.

Identifiants

pubmed: 36800984
doi: 10.1186/s13195-023-01188-8
pii: 10.1186/s13195-023-01188-8
pmc: PMC9938625
doi:

Substances chimiques

tau Proteins 0
Amyloid beta-Peptides 0
Biomarkers 0
Amyloid 0
Peptide Fragments 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

34

Informations de copyright

© 2023. The Author(s).

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Auteurs

Christophe Hirtz (C)

University of Montpellier, IRMB-PPC, INM, CHU Montpellier, INSERM CNRS, Montpellier, France.

Germain U Busto (GU)

Resource and Research Memory Center (CMRR), Department of Neurology, Montpellier University Hospital, 80 avenue Augustin Fliche, 34000, Montpellier, France.
Institute for Neurosciences of Montpellier (INM), Univ Montpellier, INSERM, Montpellier, France.

Karim Bennys (K)

Resource and Research Memory Center (CMRR), Department of Neurology, Montpellier University Hospital, 80 avenue Augustin Fliche, 34000, Montpellier, France.

Jana Kindermans (J)

University of Montpellier, IRMB-PPC, INM, CHU Montpellier, INSERM CNRS, Montpellier, France.

Sophie Navucet (S)

Resource and Research Memory Center (CMRR), Department of Neurology, Montpellier University Hospital, 80 avenue Augustin Fliche, 34000, Montpellier, France.

Laurent Tiers (L)

University of Montpellier, IRMB-PPC, INM, CHU Montpellier, INSERM CNRS, Montpellier, France.

Simone Lista (S)

Resource and Research Memory Center (CMRR), Department of Neurology, Montpellier University Hospital, 80 avenue Augustin Fliche, 34000, Montpellier, France.

Jérôme Vialaret (J)

University of Montpellier, IRMB-PPC, INM, CHU Montpellier, INSERM CNRS, Montpellier, France.

Laure-Anne Gutierrez (LA)

Institute for Neurosciences of Montpellier (INM), Univ Montpellier, INSERM, Montpellier, France.

Yves Dauvilliers (Y)

Institute for Neurosciences of Montpellier (INM), Univ Montpellier, INSERM, Montpellier, France.
Sleep and Wake Disorders Center, Department of Neurology, Gui de Chauliac Hospital, University of Montpellier, Montpellier, France.

Claudine Berr (C)

Institute for Neurosciences of Montpellier (INM), Univ Montpellier, INSERM, Montpellier, France.

Sylvain Lehmann (S)

University of Montpellier, IRMB-PPC, INM, CHU Montpellier, INSERM CNRS, Montpellier, France. sylvain.lehmann@umontpellier.fr.

Audrey Gabelle (A)

Resource and Research Memory Center (CMRR), Department of Neurology, Montpellier University Hospital, 80 avenue Augustin Fliche, 34000, Montpellier, France.
Institute for Neurosciences of Montpellier (INM), Univ Montpellier, INSERM, Montpellier, France.

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