Evidence map›Paper›PMID 37725909›Full record

ArticleClinical chemistry2023

Alzheimer Disease Biomarkers: Moving from CSF to Plasma for Reliable Detection of Amyloid and tau Pathology.

Ju Hee Kang, Magdalena Korecka, Edward B Lee, Katheryn A Q Cousins, Thomas F Tropea, Alice A Chen-Plotkin, David J Irwin, David Wolk, Magdalena Brylska, Yang Wan and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 2 countries.

Ju Hee KangDepartment of Pharmacology and Clinical Pharmacology, Research Center for Controlling Intercellular Communication, Inha University, Incheon, South Korea.ORCID 0000-0001-5235-8993
Magdalena KoreckaDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Edward B LeeDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.ORCID 0000-0002-4589-1180
Katheryn A Q CousinsDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.ORCID 0000-0003-1879-2766
Thomas F TropeaDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.ORCID 0000-0003-0766-1496
Alice A Chen-PlotkinDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
David J IrwinDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.ORCID 0000-0002-5599-5098
David WolkDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Magdalena BrylskaDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Yang WanDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Leslie M ShawDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
University of Pennsylvania · USInha University · KR

Funding

Project 1U19AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI CLIFFORD R. JACK · 2016 to 2026
$226.7M
Translational Research Support CoreP30ES013508 · NIEHS · UNIVERSITY OF PENNSYLVANIA · PI Trevor M Penning · 2006 to 2026
$35.3M
Research Education ComponentP30AG072979 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Edward Byung-Ha Lee · 2021 to 2026
$24.8M
Project IV "Tackling Heterogeneity of Cognitive Trajectory in LBD"U19AG062418 · NIA · UNIVERSITY OF PENNSYLVANIA · PI LEE, VIRGINIA M · 2019 to 2023
$18.1M
TMEM106B in neurodegenerative diseaseR01NS082265 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI CHEN-PLOTKIN, ALICE S · 2013 to 2024
$4.7M
Biomarkers of cognitive decline in Parkinson's DiseaseR01NS115139 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI CHEN-PLOTKIN, ALICE S · 2019 to 2023
$3.6M
The Role of Alzheimer's Disease Genetic Risk in Predicting Parkinson's Disease DementiaK23NS114167 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI TROPEA, THOMAS FRANCIS · 2020 to 2024
$985k
NIA NIH HHS P30 AG072979NIA NIH HHS U19 AG024904NIA NIH HHS U19 AG062418NIEHS NIH HHS P30 ES013508NINDS NIH HHS K23 NS114167NINDS NIH HHS R01 NS082265NINDS NIH HHS R01 NS115139
6 · The paper itself

Abstract

backgroundDevelopment of validated biomarkers to detect early Alzheimer disease (AD) neuropathology is needed for therapeutic AD trials. Abnormal concentrations of "core" AD biomarkers, cerebrospinal fluid (CSF) amyloid beta1-42, total tau, and phosphorylated tau correlate well with neuroimaging biomarkers and autopsy findings. Nevertheless, given the limitations of established CSF and neuroimaging biomarkers, accelerated development of blood-based AD biomarkers is underway. CONTENT: Here we describe the clinical significance of CSF and plasma AD biomarkers to detect disease pathology throughout the Alzheimer continuum and correlate with imaging biomarkers. Use of the AT(N) classification by CSF and imaging biomarkers provides a more objective biologically based diagnosis of AD than clinical diagnosis alone. Significant progress in measuring CSF AD biomarkers using extensively validated highly automated assay systems has facilitated their transition from research use only to approved in vitro diagnostics tests for clinical use. We summarize development of plasma AD biomarkers as screening tools for enrollment and monitoring participants in therapeutic trials and ultimately in clinical care. Finally, we discuss the challenges for AD biomarkers use in clinical trials and precision medicine, emphasizing the possible ethnocultural differences in the levels of AD biomarkers. SUMMARY: CSF AD biomarker measurements using fully automated analytical platforms is possible. Building on this experience, validated blood-based biomarker tests are being implemented on highly automated immunoassay and mass spectrometry platforms. The progress made developing analytically and clinically validated plasma AD biomarkers within the AT(N) classification scheme can accelerate use of AD biomarkers in therapeutic trials and routine clinical practice.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesBiomarkersHumansImmunoassayPeptide Fragmentstau ProteinsAmyloid beta-PeptidesBiomarkersPeptide Fragmentstau Proteins

Identifiers

PMID37725909
PMCPMC10895336
OpenAlexW4386845260

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.