Evidence map›Paper›PMID 35142026›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2022

Characterization of gene expression patterns in mild cognitive impairment using a transcriptomics approach and neuroimaging endophenotypes.

Apoorva Bharthur Sanjay, Alice Patania, Xiaoran Yan, Diana Svaldi, Tugce Duran, Niraj Shah, Sara Nemes, Eric Chen, Liana G Apostolova

Open access · hybridAbstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
0.6field-weighted citation impact, top 37% 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, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Quo Vadis translational neuroscience?Translational neuroscience · 2026
    Review
  6. Article
  7. Article
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

9 authors at 3 institutions in 1 country.

Apoorva Bharthur SanjayDepartment of Neurology, Indiana University School of Medicine, Indianapolis, Indiana, USA.ORCID 0000-0001-9082-0587
Alice PataniaIndiana University Network Sciences Institute, Indiana University, Bloomington, Indiana, USA.
Xiaoran YanIndiana University Network Sciences Institute, Indiana University, Bloomington, Indiana, USA.
Diana SvaldiDepartment of Neurology, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Tugce DuranDepartment of Internal Medicine, Section of Gerontology & Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Niraj ShahDepartment of Neurology, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Sara NemesDepartment of Neurology, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Eric ChenDepartment of Neurology, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Liana G ApostolovaDepartment of Neurology, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Indiana University School of MedicineIndiana University Bloomington · USWake Forest University · US

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Early Onset AD Consortium - the LEAD Study (LEADS)U01AG057195 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI APOSTOLOVA, LIANA G, CARRILLO, MARIA C · 2018 to 2023
$70.3M
Research Education ComponentP30AG010133 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI GHETTI, BERNARDINO FRANCESCO · 1991 to 2020
$37.3M
Wake Forest University School of Medicine Alzheimer's Disease Research CenterP30AG072947 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI SUZANNE CRAFT · 2021 to 2026
$24.3M
Research Education ComponentP30AG072976 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI ANDREW J SAYKIN · 2021 to 2026
$24.1M
Early Onset Alzheimer's Disease ConsortiumR56AG057195 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI APOSTOLOVA, LIANA G, CARRILLO, MARIA C · 2017 to 2017
$7.7M
Concordance of TDP-43 Inclusions with Cortical Atrophy and Clinical PhenotypeR01NS085770 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI GEULA, CHANGIZ · 2014 to 2024
$5.0M
Imaging and genetic biomarkers for Alzheimer's diseaseR01AG040770 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI APOSTOLOVA, LIANA G · 2012 to 2016
$1.4M
Sensory and Perceptual Measures as Biomarkers of Alzheimer's Disease PathologyK01AG049050 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI RISACHER, SHANNON L · 2015 to 2019
$612k
Integrative Predictive Modeling of Alzheimer's DiseaseR21AG072101 · NIA · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI PATANIA, ALICE, YAN, XIAORAN · 2021 to 2021
$446k
Imaging epigenetics of Alzheimer's DiseaseK02AG048240 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI APOSTOLOVA, LIANA G · 2014 to 2016
$434k
NIA NIH HHS K01 AG049050NIA NIH HHS K02 AG048240NIA NIH HHS P30 AG010133NIA NIH HHS P30 AG072947NIA NIH HHS P30 AG072976NIA NIH HHS R01 AG040770NIA NIH HHS R21 AG072101NIA NIH HHS R56 AG057195NIA NIH HHS R56/U01 AG057195NIA NIH HHS U01 AG024904NIA NIH HHS U01 AG057195NINDS NIH HHS R01 NS085770
6 · The paper itself

Abstract

introductionIdentification of novel therapeutics and risk assessment in early stages of Alzheimer's disease (AD) is a crucial aspect of addressing this complex disease. We characterized gene-expression patterns at the mild cognitive impairment (MCI) stage to identify critical mRNA measures and gene clusters associated with AD pathogenesis.

methodsWe used a transcriptomics approach, integrating magnetic resonance imaging (MRI) and peripheral blood-based gene expression data using persistent homology (PH) followed by kernel-based clustering.

resultsWe identified three clusters of genes significantly associated with diagnosis of amnestic MCI. The biological processes associated with each cluster were mitochondrial function, NF-kB signaling, and apoptosis. Cluster-level associations with cortical thickness displayed canonical AD-like patterns. Driver genes from clusters were also validated in an external dataset for prediction of amyloidosis and clinical diagnosis. DISCUSSION: We found a disease-relevant transcriptomic signature sensitive to prodromal AD and identified a subset of potential therapeutic targets associated with AD pathogenesis.

Indexed as

Alzheimer DiseaseCognitive DysfunctionBrainEndophenotypesHumansMagnetic Resonance ImagingNeuroimagingTranscriptomeAlzheimer's diseaseapoptosis and cell proliferationcortical thicknessgene expressionimaging geneticsNF-kB signalingrisk genes

Identifiers

PMID35142026
PMCPMC10078657
OpenAlexW4211252355

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.