Evidence map›Paper›PMID 38614371›Full record

ArticleNeuroImage2024

Disentangling sex-dependent effects of APOE on diverse trajectories of cognitive decline in Alzheimer's disease.

Haixu Ma, Zhuoyu Shi, Minjeong Kim, Bin Liu, Patrick J Smith, Yufeng Liu, Guorong Wu, Alzheimer's Disease Neuroimaging Initiative (ADNI)

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

8 authors at 3 institutions in 2 countries.

Haixu MaDepartment of Statistics and Operations Research, University of North Carolina at Chapel Hill, NC 27599, USA.
Zhuoyu ShiDepartment of Psychiatry, University of North Carolina at Chapel Hill, NC 27599, USA.
Minjeong KimDepartment of Computer Science, University of North Carolina at Greensboro, NC 27412, USA.
Bin LiuDepartment of Statistics and Data Science, School of Management at Fudan University, Shanghai, 200433, PR China.
Patrick J SmithDepartment of Psychiatry, University of North Carolina at Chapel Hill, NC 27599, USA.
Yufeng LiuDepartment of Statistics and Operations Research, University of North Carolina at Chapel Hill, NC 27599, USA; Department of Genetics, Department of Biostatistics, University of North Carolina at Chapel Hill, NC 27599, USA. Electronic address: yfliu@email.unc.edu.
Guorong WuDepartment of Statistics and Operations Research, University of North Carolina at Chapel Hill, NC 27599, USA; Department of Psychiatry, University of North Carolina at Chapel Hill, NC 27599, USA; Department of Computer Science, University of North Carolina at Chapel Hill, NC 27599, USA; UNC Neuroscience Center, University of North Carolina at Chapel Hill, NC 27599, USA. Electronic address: grwu@med.unc.edu.
Alzheimer's Disease Neuroimaging Initiative (ADNI)
University of North Carolina at Chapel Hill · USFudan University · CNUniversity of North Carolina at Greensboro · US

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Understanding Selectivity Mechanisms of Network Vulnerability and Resilience in Alzheimer's Disease by Establishing a Neurobiological Basis through Network NeuroscienceRF1AG068399 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WU, GUORONG · 2020 to 2020
$1.9M
Statistical Methods for Integrative Analysis of Large Scale Neuroimaging DataR01AG073259 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LI, QUEFENG · 2021 to 2025
$1.8M
Longitudinal Analysis for Early Diagnosis of Alzheimer's DiseaseK01AG049089 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WU, GUORONG · 2016 to 2019
$478k
Longitudinal Analysis of the Dynamic Network Disruptions in Alzheimer's DiseaseR21AG059065 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI STYNER, MARTIN ANDREAS, WU, GUORONG · 2018 to 2019
$428k
Uncovering the Heterogeneity of Neurodegeneration Trajectories in Alzheimer's Disease Using a Network Guided Reaction-Diffusion ModelR03AG073927 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WU, GUORONG · 2021 to 2022
$317k
Continuing Tool Development for Longitudinal Network Analysis: Enriching the Diagnostic Power of Disease-Specific Connectomic Biomarkers by Deep Graph LearningR03AG070701 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WU, GUORONG · 2021 to 2022
$303k
NIA NIH HHS K01 AG049089NIA NIH HHS R01 AG073259NIA NIH HHS R03 AG070701NIA NIH HHS R03 AG073927NIA NIH HHS R21 AG059065NIA NIH HHS RF1 AG068399NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

Current diagnostic systems for Alzheimer's disease (AD) rely upon clinical signs and symptoms, despite the fact that the multiplicity of clinical symptoms renders various neuropsychological assessments inadequate to reflect the underlying pathophysiological mechanisms. Since putative neuroimaging biomarkers play a crucial role in understanding the etiology of AD, we sought to stratify the diverse relationships between AD biomarkers and cognitive decline in the aging population and uncover risk factors contributing to the diversities in AD. To do so, we capitalized on a large amount of neuroimaging data from the ADNI study to examine the inflection points along the dynamic relationship between cognitive decline trajectories and whole-brain neuroimaging biomarkers, using a state-of-the-art statistical model of change point detection. Our findings indicated that the temporal relationship between AD biomarkers and cognitive decline may differ depending on the synergistic effect of genetic risk and biological sex. Specifically, tauopathy-PET biomarkers exhibit a more dynamic and age-dependent association with Mini-Mental State Examination scores (p<0.05), with inflection points at 72, 78, and 83 years old, compared with amyloid-PET and neurodegeneration (cortical thickness from MRI) biomarkers. In the landscape of health disparities in AD, our analysis indicated that biological sex moderates the rate of cognitive decline associated with APOE4 genotype. Meanwhile, we found that higher education levels may moderate the effect of APOE4, acting as a marker of cognitive reserve.

Indexed as

Alzheimer DiseaseApolipoproteins ECognitive DysfunctionAgedAged, 80 and overBiomarkersBrainFemaleHumansMagnetic Resonance ImagingMaleNeuroimagingPositron-Emission TomographyApolipoproteins EBiomarkersAD biomarkersChange point detectionCognitive reserveDementia risksSex difference

Identifiers

PMID38614371
PMCPMC11069285
OpenAlexW4394796441

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.