Evidence map›Paper›PMID 38947090›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Benchmarking of a multi-biomarker low-volume panel for Alzheimer's Disease and related dementia research.

Laura Ibanez, Menghan Liu, Aleksandra Beric, Jigyasha Timsina, Pat Kholfeld, Kristy Bergmann, Joey Lowery, Nick Sykora, Brenda Sanchez-Montejo, Will Brock and 12 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors.

Laura IbanezDepartment of Psychiatry, Washington University School of Medicine.
Menghan LiuDepartment of Psychiatry, Washington University School of Medicine.
Aleksandra BericDepartment of Psychiatry, Washington University School of Medicine.
Jigyasha TimsinaDepartment of Psychiatry, Washington University School of Medicine.
Pat KholfeldDepartment of Psychiatry, Washington University School of Medicine.
Kristy BergmannDepartment of Psychiatry, Washington University School of Medicine.
Joey LoweryDepartment of Psychiatry, Washington University School of Medicine.
Nick SykoraDepartment of Psychiatry, Washington University School of Medicine.
Brenda Sanchez-MontejoDepartment of Psychiatry, Washington University School of Medicine.
Will BrockDepartment of Psychiatry, Washington University School of Medicine.
John P BuddeDepartment of Psychiatry, Washington University School of Medicine.
Randall J BatemanDepartment of Neurology, Washington University School of Medicine.
Nicolas BarthelemyDepartment of Neurology, Washington University School of Medicine.
Suzanne E SchindlerDepartment of Neurology, Washington University School of Medicine.
David M HoltzmanDepartment of Neurology, Washington University School of Medicine.
Tammie L S BenzingerDepartment of Radiology, Washington University School of Medicine.
Chengjie XiongDivision of Biostatistics, Washington University School of Medicine.
Rawan TarawnehDepartment of Neurology, University of New Mexico School of Medicine.
Krista MoulderDepartment of Neurology, Washington University School of Medicine.
John C MorrisDepartment of Neurology, Washington University School of Medicine.
Yun Ju SungDepartment of Psychiatry, Washington University School of Medicine.
Carlos CruchagaDepartment of Psychiatry, Washington University School of Medicine.

Funding

Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 2005 to 2025
$49.5M
Research Education ComponentP30AG066444 · NIA · WASHINGTON UNIVERSITY · PI Susan Lynn Stark · 2020 to 2026
$28.7M
Staging Alzheimer disease with blood-based biomarkersR01AG070941 · NIA · WASHINGTON UNIVERSITY · PI SCHINDLER, SUZANNE ELIZABETH · 2021 to 2025
$4.3M
USING QUANTITATIVE TRAITS TO IDENTIFY NOVEL GENES FOR ALZHEIMERS DISEASE AND OTHER COMPLEX TRAITSRF1AG053303 · NIA · WASHINGTON UNIVERSITY · PI CLIMER, SHARLEE, CRUCHAGA, CARLOS · 2016 to 2020
$4.0M
GENETIC MODIFIERS OF CEREBROSPINAL FLUID TREM2 IN ALZHEIMER'S DISEASERF1AG058501 · NIA · WASHINGTON UNIVERSITY · PI CRUCHAGA, CARLOS, PICCIO, LAURA · 2018 to 2018
$3.5M
The Familial Alzheimer Sequencing (FASe) ProjectU01AG058922 · NIA · WASHINGTON UNIVERSITY · PI CRUCHAGA, CARLOS, GOATE, ALISON M · 2018 to 2022
$3.5M
Sex-specific Molecular Profiling to Understand Pathology and Identify Causal Genes and Drug Targets for Alzheimer's DiseaseRF1AG074007 · NIA · WASHINGTON UNIVERSITY · PI SUNG, YUNJU · 2021 to 2021
$2.7M
IDENTIFYING RARE VARIANTS THAT INCREASE RISK FOR ALZHEIMER'S DISEASER01AG044546 · NIA · WASHINGTON UNIVERSITY · PI CRUCHAGA, CARLOS · 2013 to 2017
$2.7M
Elucidating the Role of Endothelial Dysfunction in Alzheimer Disease: Towards A New Data-Driven Disease ModelRF1AG083744 · NIA · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI TARAWNEH, RAWAN · 2023 to 2023
$2.1M
Plasma Cell-Free RNA as Non-invasive Biomarker for NeurodegenerationR00AG062723 · NIA · WASHINGTON UNIVERSITY · PI IBANEZ, LAURA · 2022 to 2024
$729k
Plasma Cell-Free RNA as Non-invasive Biomarker for NeurodegenerationK99AG062723 · NIA · WASHINGTON UNIVERSITY · PI IBANEZ, LAURA · 2020 to 2021
$250k
NIA NIH HHS K99 AG062723NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P30 AG066444NIA NIH HHS R00 AG062723NIA NIH HHS R01 AG044546NIA NIH HHS R01 AG070941NIA NIH HHS RF1 AG053303NIA NIH HHS RF1 AG058501NIA NIH HHS RF1 AG074007NIA NIH HHS RF1 AG083744NIA NIH HHS U01 AG058922
6 · The paper itself

Abstract

Alzheimer's Disease (AD) biomarker measurement is key to aid in the diagnosis and prognosis of the disease. In the research setting, participant recruitment and retention and optimization of sample use, is one of the main challenges that observational studies face. Thus, obtaining accurate established biomarker measurements for stratification and maximizing use of the precious samples is key. Accurate technologies are currently available for established biomarkers, mainly immunoassays and immunoprecipitation liquid chromatography-mass spectrometry (IP-MS), and some of them are already being used in clinical settings. Although some immunoassays- and IP-MS based platforms provide multiplexing for several different coding proteins there is not a current platform that can measure all the stablished and emerging biomarkers in one run. The NUcleic acid Linked Immuno-Sandwich Assay (NULISA

Identifiers

PMID38947090
PMCPMC11213109

What OpenQuestion holds

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Registered trials

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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.