Evidence map›Paper›PMID 35229014›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)2022

A study of the longitudinal changes in multiple cerebrospinal fluid and volumetric magnetic resonance imaging biomarkers on converter and non-converter Alzheimer's disease subjects with consideration for their amyloid beta status.

Ulyana Morar, Walter Izquierdo, Harold Martin, Parisa Forouzannezhad, Elaheh Zarafshan, Elona Unger, Zoran Bursac, Mercedes Cabrerizo, Armando Barreto, David E Vaillancourt and 4 more

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 10 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

14 authors at 4 institutions in 1 country.

Ulyana MorarCenter for Advanced Technology and Education Department of Electrical and Computer Engineering Florida International University Miami Florida USA.ORCID https://orcid.org/0000-0001-8283-7055
Walter IzquierdoCenter for Advanced Technology and Education Department of Electrical and Computer Engineering Florida International University Miami Florida USA.
Harold MartinCenter for Advanced Technology and Education Department of Electrical and Computer Engineering Florida International University Miami Florida USA.
Parisa ForouzannezhadCenter for Advanced Technology and Education Department of Electrical and Computer Engineering Florida International University Miami Florida USA.
Elaheh ZarafshanCenter for Advanced Technology and Education Department of Electrical and Computer Engineering Florida International University Miami Florida USA.
Elona UngerCollege of Pharmacy Florida A&M University Tallahassee Florida USA.
Zoran BursacDepartment of Biostatistics Robert Stempel College of Public Health Florida International University Miami.
Mercedes CabrerizoCenter for Advanced Technology and Education Department of Electrical and Computer Engineering Florida International University Miami Florida USA.
Armando BarretoCenter for Advanced Technology and Education Department of Electrical and Computer Engineering Florida International University Miami Florida USA.
David E VaillancourtDepartment of Neurology and McKnight Brain Institute College of Medicine University of Florida Gainesville Florida USA.
Steven T DeKoskyDepartment of Neurology and McKnight Brain Institute College of Medicine University of Florida Gainesville Florida USA.
David LoewensteinFlorida Alzheimer's Disease Research Center (ADRC) University of Florida Gainesville Florida USA.
Ranjan DuaraFlorida Alzheimer's Disease Research Center (ADRC) University of Florida Gainesville Florida USA.
Malek AdjouadiCenter for Advanced Technology and Education Department of Electrical and Computer Engineering Florida International University Miami Florida USA.
Florida International University · USUniversity of Florida Health · USFlorida Agricultural and Mechanical University · USUniversity of Miami · US

Funding

Social Determinants of Health, Race/Ethnicity, and White Matter HyperintensitiesP30AG066506 · NIA · UNIVERSITY OF FLORIDA · PI Rosie E Curiel Cid · 2020 to 2026
$25.6M
A Novel Computerized Cognitive Stress Test Designed for Clinical Trials in Early Alzheimer's: Relationship with Multimodal Imaging Biomarkers in Diverse Cultural GroupsR01AG061106 · NIA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI LOEWENSTEIN, DAVID · 2019 to 2023
$3.6M
Precision-based Assessment for the Detection of Mild Cognitive Impairment in Older AdultsR01AG055638 · NIA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI CURIEL CID, ROSIE E · 2018 to 2022
$2.9M
Novel Detection of Early Cognitive and Functional Impairment in the ElderlyR01AG047649 · NIA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI LOEWENSTEIN, DAVID · 2015 to 2019
$2.7M
NIA NIH HHS P30 AG066506NIA NIH HHS R01 AG047649NIA NIH HHS R01 AG055638NIA NIH HHS R01 AG061106
6 · The paper itself

Abstract

introductionThis study aims to determine whether newly introduced biomarkers Visinin-like protein-1 (VILIP-1), chitinase-3-like protein 1 (YKL-40), synaptosomal-associated protein 25 (SNAP-25), and neurogranin (NG) in cerebrospinal fluid are useful in evaluating the asymptomatic and early symptomatic stages of Alzheimer's disease (AD). It further aims to shed new insight into the differences between stable subjects and those who progress to AD by associating cerebrospinal fluid (CSF) biomarkers and specific magnetic resonance imaging (MRI) regions with disease progression, more deeply exploring how such biomarkers relate to AD pathology.

methodsWe examined baseline and longitudinal changes over a 7-year span and the longitudinal interactions between CSF and MRI biomarkers for subjects from the Alzheimer's Disease Neuroimaging Initiative (ADNI). We stratified all CSF (140) and MRI (525) cohort participants into five diagnostic groups (including converters) further dichotomized by CSF amyloid beta (Aβ) status. Linear mixed models were used to compare within-person rates of change across diagnostic groups and to evaluate the association of CSF biomarkers as predictors of magnetic resonance imaging (MRI) biomarkers. CSF biomarkers and disease-prone MRI regions are assessed for CSF proteins levels and brain structural changes.

resultsVILIP-1 and SNAP-25 displayed within-person increments in early symptomatic, amyloid-positive groups. CSF amyloid-positive (Aβ+) subjects showed elevated baseline levels of total tau (tTau), phospho-tau181 (pTau), VILIP-1, and NG. YKL-40, SNAP-25, and NG are positively intercorrelated. Aβ+ subjects showed negative MRI biomarker changes. YKL-40, tTau, pTau, and VILIP-1 are longitudinally associated with MRI biomarkers atrophy. DISCUSSION: Converters (CNc, MCIc) highlight the evolution of biomarkers during the disease progression. Results show that underlying amyloid pathology is associated with accelerated cognitive impairment. CSF levels of Aβ42, pTau, tTau, VILIP-1, and SNAP-25 show utility to discriminate between mild cognitive impairment (MCI) converter and control subjects (CN). Higher levels of YKL-40 in the Aβ+ group were longitudinally associated with declines in temporal pole and entorhinal thickness. Increased levels of tTau, pTau, and VILIP-1 in the Aβ+ groups were longitudinally associated with declines in hippocampal volume. These CSF biomarkers should be used in assessing the characterization of the AD progression.

Indexed as

Alzheimer's diseaseAlzheimer's Disease Neuroimaging Initiative (ADNI)cerebrospinal fluidlongitudinal analysismagnetic resonance imaging (MRI)neuronal injury

Identifiers

PMID35229014
PMCPMC8865744
OpenAlexW4213383885

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.