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Diagnostics
Special Issues
Alzheimer's Disease Biomarkers and Physiopathology
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Alzheimer's Disease Biomarkers and Physiopathology

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Pathology and Molecular Diagnostics".

Deadline for manuscript submissions: closed (30 June 2024) | Viewed by 2551

Special Issue Editor

Dr. Silvia Ingala

E-Mail Website
Guest Editor
Department of Diagnostic Radiology, Rigshospitalet, Copenhagen, Denmark
Interests: Alzheimer’s disease; biomarkers; neurodegeneration; cerebrovascular disease; disease modelling

Special Issue Information

Dear Colleagues,

"Alzheimer's Disease Biomarkers and Physiopathology" is a Special Issue that examines the pathological mechanisms and characteristics of Alzheimer's disease. It provides an in-depth analysis of the latest research on the disease, with a focus on the biomarkers defining the diagnosis, prognosis, and treatment monitoring of Alzheimer’s disease, as well as the role of concomitant cerebrovascular disease. The Special Issue also includes articles discussing potential therapeutic targets and the latest diagnostic techniques for Alzheimer's disease. It is designed to assist researchers and clinicians in better understanding and managing this neurodegenerative disorder.

Dr. Silvia Ingala
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Alzheimer's disease
  • biomarkers
  • physiopathology
  • diagnosis
  • prognosis
  • treatment monitoring
  • concomitant cerebrovascular disease
  • neurodegenerative disorder

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Published Papers (1 paper)

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Research

18 pages, 1370 KiB  
Article
PrecivityAD2™ Blood Test: Analytical Validation of an LC-MS/MS Assay for Quantifying Plasma Phospho-tau217 and Non-Phospho-tau217 Peptide Concentrations That Are Used with Plasma Amyloid-β42/40 in a Multianalyte Assay with Algorithmic Analysis for Detecting Brain Amyloid Pathology
by Stephanie M. Eastwood, Matthew R. Meyer, Kristopher M. Kirmess, Traci L. Wente-Roth, Faith Irvin, Mary S. Holubasch, Philip B. Verghese, Tim West, Joel B. Braunstein, Kevin E. Yarasheski and John H. Contois
Diagnostics 2024, 14(16), 1739; https://doi.org/10.3390/diagnostics14161739 - 10 Aug 2024
Cited by 3 | Viewed by 2238
Abstract
Alzheimer’s disease (AD) is a progressive irreversible neurodegenerative disorder that represents a major global public health concern. Traditionally, AD is diagnosed using cerebrospinal fluid biomarker analysis or brain imaging modalities. Recently, less burdensome, more widely available blood biomarker (BBM) assays for amyloid-beta (Aβ42/40) [...] Read more.
Alzheimer’s disease (AD) is a progressive irreversible neurodegenerative disorder that represents a major global public health concern. Traditionally, AD is diagnosed using cerebrospinal fluid biomarker analysis or brain imaging modalities. Recently, less burdensome, more widely available blood biomarker (BBM) assays for amyloid-beta (Aβ42/40) and phosphorylated-tau concentrations have been found to accurately identify the presence/absence of brain amyloid plaques and tau tangles and have helped to streamline AD diagnosis. However, few BBMs have been rigorously analytically validated. Herein, we report the analytical validation of a novel liquid chromatography–tandem mass spectrometry (LC-MS/MS) multiplex method for quantifying plasma phosphorylated-tau217 (p-tau217) and non-phosphorylated-tau217 (np-tau217) peptide concentrations. We combined the p-tau217/np-tau217 concentrations ratio (%p-tau217) and the previously validated LC-MS/MS multiplex assay for plasma Aβ42/40 into a new multianalyte assay with algorithmic analysis (MAAA; PrecivityAD2™ test) that identifies brain amyloid status based on brain amyloid positron emission tomography. We found (a) the %p-tau217 assay is precise, accurate, sensitive, and linear over a wide analytical measurement range, and free from carryover and interference; (b) the pre-analytical specimen collection, processing, storage, and shipping conditions that maintain plasma tau peptide stability; and (c) using the measured analytical imprecision for plasma Aβ42/40 and p-tau217/np-tau217 levels in a worst-case scenario model, the PrecivityAD2 test algorithm for amyloid pathology classification changed for only 3.5% of participants from brain amyloid positive to negative, or from negative to positive. The plasma sample preparation and LC-MS/MS methods underlying the PrecivityAD2 test are suitable for use in the clinical laboratory and valid for the test’s intended purpose: to aid in the diagnostic evaluation of individuals aged 55 and older with signs or symptoms of mild cognitive impairment or dementia. Full article
(This article belongs to the Special Issue Alzheimer's Disease Biomarkers and Physiopathology)
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