Evidence map›Paper›PMID 32062565›Full record

ArticleNeuroImage. Clinical2020

Systems modeling of white matter microstructural abnormalities in Alzheimer's disease.

Emrin Horgusluoglu-Moloch, Gaoyu Xiao, Minghui Wang, Qian Wang, Xianxiao Zhou, Kwangsik Nho, Andrew J Saykin, Eric Schadt, Bin Zhang, Alzheimer's Disease Neuroimaging Initiative (ADNI)

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Relationship BetweenJournal of Alzheimer's disease reports · 2023
    Article
  6. Review
  7. Review
  8. Article
  9. Review
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

10 authors at 2 institutions in 1 country.

Emrin Horgusluoglu-MolochDepartment of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, NY, USA.
Gaoyu XiaoDepartment of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, NY, USA.
Minghui WangDepartment of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, NY, USA.
Qian WangDepartment of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, NY, USA.
Xianxiao ZhouDepartment of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, NY, USA.
Kwangsik NhoCenter for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA; Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA.
Andrew J SaykinCenter for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA; Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA.
Eric SchadtDepartment of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, NY, USA.
Bin ZhangDepartment of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, NY, USA. Electronic address: bin.zhang@mssm.edu.
Alzheimer's Disease Neuroimaging Initiative (ADNI)
Icahn School of Medicine at Mount Sinai · USIndiana University School of Medicine

Funding

Integrative Network Biology Approaches to Identify, Characterize and Validate Molecular Subtypes in Alzheimer's DiseaseU01AG046170 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WANG, MINGHUI, ZHANG, BIN · 2013 to 2022
$26.0M
Integrative Network Modeling of Cognitive Resilience to Alzheimer's DiseaseR01AG057907 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI EHRLICH, MICHELLE E, HAROUTUNIAN, VAHRAM · 2017 to 2021
$6.3M
Molecular Characterization and Validation of Gender Differences in Alzheimers Disease PathogenesisRF1AG054014 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CAI, DONGMING, ZHANG, BIN · 2016 to 2016
$4.2M
SYSTEMATIC DRUG REPURPOSING TARGETING IMMUNE ACTIVATION NETWORKS IN ALZHEIMER'S DISEASE (AD)RF1AG059319 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI EHRLICH, MICHELLE E, GANDY, SAMUEL E. · 2018 to 2018
$4.2M
Towards a comprehensive signaling pathway map of parahippocampal vulnerability in Alzheimers DiseaseRF1AG057440 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HAROUTUNIAN, VAHRAM, NOGGLE, SCOTT ALLEN · 2017 to 2017
$3.5M
Integrating Neuroimaging, Multi-omics, and Clinical Data in Complex DiseaseR01LM012535 · NLM · INDIANA UNIVERSITY INDIANAPOLIS · PI NHO, KWANGSIK TIMOTHY · 2017 to 2021
$1.7M
Systems Modeling of White Matter Microstructural Abnormalities in Alzheimer's DiseaseF32AG064904 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HORGUSLUOGLU-MOLOCH, EMRIN · 2019 to 2021
$134k
NIA NIH HHS F32 AG064904NIA NIH HHS R01 AG057907NIA NIH HHS RF1 AG054014NIA NIH HHS RF1 AG057440NIA NIH HHS RF1 AG059319NIA NIH HHS U01 AG046170NLM NIH HHS R01 LM012535
6 · The paper itself

Abstract

introductionMicrostructural abnormalities in white matter (WM) are often reported in Alzheimer's disease (AD). However, it is unclear which brain regions have the strongest WM changes in presymptomatic AD and what biological processes underlie WM abnormality during disease progression.

methodsWe developed a systems biology framework to integrate matched diffusion tensor imaging (DTI), genetic and transcriptomic data to investigate regional vulnerability to AD and identify genetic risk factors and gene subnetworks underlying WM abnormality in AD.

resultsWe quantified regional WM abnormality and identified most vulnerable brain regions. A SNP rs2203712 in CELF1 was most significantly associated with several DTI-derived features in the hippocampus, the top ranked brain region. An immune response gene subnetwork in the blood was most correlated with DTI features across all the brain regions. DISCUSSION: Incorporation of image analysis with gene network analysis enhances our understanding of disease progression and facilitates identification of novel therapeutic strategies for AD.

Indexed as

AgedAlzheimer DiseaseBrainCELF1 ProteinDiffusion Tensor ImagingEndophenotypesFemaleGene Regulatory NetworksHumansImage Interpretation, Computer-AssistedMalePolymorphism, Single NucleotideSystems BiologyTranscriptomeCELF1 ProteinCELF1 protein, humanAlzheimer's diseaseBrain regionsCELF1Diffusion tensor imagingGene expressionImmune responseMultiscale embedded gene coexpression network analysisWhite matter

Identifiers

PMID32062565
PMCPMC7025138
OpenAlexW3004456449

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.