Evidence map›Paper›PMID 30016411›Full record

ArticleBrain : a journal of neurology2018

Molecular properties underlying regional vulnerability to Alzheimer's disease pathology.

Michel J Grothe, Jorge Sepulcre, Gabriel Gonzalez-Escamilla, Irina Jelistratova, Michael Schöll, Oskar Hansson, Stefan J Teipel, Alzheimer’s Disease Neuroimaging Initiative

Abstract read
In one paragraph

Article in Brain : a journal of neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed, 5 pooled it
–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

103 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Pooled it
  6. Article
  7. Gene-Modulated Network Diffusion for Improved Modeling of Amyloid-bioRxiv : the preprint server for biology · 2026
    Article
  8. Article
  9. Article
  10. DynamicalbioRxiv : the preprint server for biology · 2026
    Article
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  13. Review
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  18. Article
  19. Lower slow wave sleep and rapid eye movement sleep are associated with brain atrophy of Alzheimer's disease-vulnerable regions.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
    Article
  20. Brain tissue electrical conductivity as a promising biomarker for dementia assessment using MRI.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article

43 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Michel J GrotheGerman Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.
Jorge SepulcreGordon Center for Medical Imaging, Division of Nuclear Medicine and Molecular Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Gabriel Gonzalez-EscamillaSection of Movement Disorders and Neurostimulation, Department of Neurology, Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg-University Mainz, Germany.
Irina JelistratovaGerman Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.
Michael SchöllWallenberg Centre for Molecular and Translational Medicine and the Department of Psychiatry and Neurochemistry, University of Gothenburg, Sweden.
Oskar HanssonClinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Sweden.
Stefan J TeipelGerman Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.
Alzheimer’s Disease Neuroimaging Initiative

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Integrative Analysis of Change in Cognition and HealthR01AG026453 · NIA · UNIVERSITY OF VICTORIA · PI HOFER, SCOTT M. · 2007 to 2011
$2.0M
Study of Brain Spreading Pathways of Tau and Amyloid-Beta in (pre)clinical ADRF1AG052653 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI LI, QUANZHENG, SEPULCRE, JORGE · 2017 to 2017
$1.4M
In Vivo Visualization of TAU and Amyloid-Beta Networks for Early AD DetectionK23EB019023 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI SEPULCRE, JORGE · 2014 to 2018
$810k
NIA NIH HHS R01 AG026453NIA NIH HHS RF1 AG052653NIA NIH HHS U01 AG024904NIBIB NIH HHS K23 EB019023
6 · The paper itself

Abstract

Amyloid deposition and neurofibrillary degeneration in Alzheimer's disease specifically affect discrete neuronal systems, but the underlying mechanisms that render some brain regions more vulnerable to Alzheimer's disease pathology than others remain largely unknown. Here we studied molecular properties underlying these distinct regional vulnerabilities by analysing Alzheimer's disease-typical neuroimaging patterns of amyloid deposition and neurodegeneration in relation to regional gene expression profiles of the human brain. Graded patterns of brain-wide vulnerability to amyloid deposition and neurodegeneration in Alzheimer's disease were estimated by contrasting multimodal amyloid-sensitive PET and structural MRI data between patients with Alzheimer's disease dementia (n = 76) and healthy controls (n = 126) enrolled in the Alzheimer's Disease Neuroimaging Initiative (ADNI). Regional gene expression profiles were derived from brain-wide microarray measurements provided by the Allen brain atlas of the adult human brain transcriptome. In a hypothesis-driven analysis focusing on the genes coding for the amyloid precursor (APP) and tau proteins (MAPT), regional expression levels of APP were positively correlated with the severity of regional amyloid deposition (r = 0.44, P = 0.009), but not neurodegeneration (r = 0.01, P = 0.96), whereas the opposite pattern was observed for MAPT (neurodegeneration: r = 0.46, P = 0.006; amyloid: r = 0.08, P = 0.65). Using explorative gene set enrichment analysis, amyloid-vulnerable regions were found to be characterized by relatively low expression levels of gene sets implicated in protein synthesis and mitochondrial respiration. By contrast, neurodegeneration-vulnerable regions were characterized by relatively high expression levels of gene sets broadly implicated in neural plasticity, with biological functions ranging from neurite outgrowth and synaptic contact over intracellular signalling cascades to proteoglycan metabolism. At the individual gene level this data-driven analysis further corroborated the association between neurodegeneration and MAPT expression, and additionally identified associations with known tau kinases (CDK5, MAPK1/ERK2) alongside components of their intracellular (Ras-ERK) activation pathways. Sensitivity analyses showed that these pathology-specific imaging-genetic associations were largely robust against changes in some of the methodological parameters, including variation in the brain donor sample used for estimating regional gene expression profiles, and local variations in the Alzheimer's disease-typical imaging patterns when these were derived from an independent patient cohort (BioFINDER study). These findings highlight that the regionally selective vulnerability to Alzheimer's disease pathology relates to specific molecular-functional properties of the affected neural systems, and that the implicated biochemical pathways largely differ for amyloid accumulation versus neurodegeneration. The data provide novel insights into the complex pathophysiological mechanisms of Alzheimer's disease and point to pathology-specific treatment targets that warrant further exploration in independent studies.

Indexed as

AgedAged, 80 and overAlzheimer DiseaseAmyloidAmyloid beta-PeptidesAmyloidogenic ProteinsBrainCohort StudiesFemaleGenetic Predisposition to DiseaseHumansMagnetic Resonance ImagingMaleNeurofibrillary TanglesNeuroimagingPositron-Emission TomographyAmyloidAmyloid beta-PeptidesAmyloidogenic Proteinstau Proteins

Identifiers

PMID30016411
PMCPMC6113636

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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.