Evidence map›Paper›PMID 36565111›Full record

Observational studyJournal of Alzheimer's disease : JAD2023

Obesity-Associated Neurodegeneration Pattern Mimics Alzheimer's Disease in an Observational Cohort Study.

Filip Morys, Olivier Potvin, Yashar Zeighami, Jacob Vogel, Rémi Lamontagne-Caron, Simon Duchesne, Alain Dagher, Alzheimer’s Disease Neuroimaging Initiative

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Journal of Alzheimer's disease : JAD, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
7.9field-weighted citation impact, top 1% 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

30 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Is Adipose Tissue Inflammation the Culprit of Obesity-Associated Comorbidities?Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Review
  6. Observational
  7. Article
  8. Article
  9. Observational
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Neuro-Adipokine Crosstalk in Alzheimer's Disease.International journal of molecular sciences · 2024
    Review
4 · The record

Corrections and comments

  • Commented on by
    2023
5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Filip MorysMontreal Neurological Institute, McGill University, Montréal, Canada.
Olivier PotvinCERVO Brain Research Centre, Québec, Canada.
Yashar ZeighamiMontreal Neurological Institute, McGill University, Montréal, Canada.
Jacob VogelMontreal Neurological Institute, McGill University, Montréal, Canada.
Rémi Lamontagne-CaronCERVO Brain Research Centre, Québec, Canada.
Simon DuchesneCERVO Brain Research Centre, Québec, Canada.
Alain DagherMontreal Neurological Institute, McGill University, Montréal, Canada.
Alzheimer’s Disease Neuroimaging Initiative
Montreal Neurological Institute and Hospital · CAUniversité Laval · CA

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

backgroundExcess weight in adulthood leads to health complications such as diabetes, hypertension, or dyslipidemia. Recently, excess weight has also been related to brain atrophy and cognitive decline. Reports show that obesity is linked with Alzheimer's disease (AD)-related changes, such as cerebrovascular damage or amyloid-β accumulation. However, to date no research has conducted a direct comparison between brain atrophy patterns in AD and obesity.

objectiveHere, we compared patterns of brain atrophy and amyloid-β/tau protein accumulation in obesity and AD using a sample of over 1,300 individuals from four groups: AD patients, healthy controls, obese otherwise healthy individuals, and lean individuals.

methodsWe age- and sex-matched all groups to the AD-patients group and created cortical thickness maps of AD and obesity. This was done by comparing AD patients with healthy controls, and obese individuals with lean individuals. We then compared the AD and obesity maps using correlation analyses and permutation-based tests that account for spatial autocorrelation. Similarly, we compared obesity brain maps with amyloid-β and tau protein maps from other studies.

resultsObesity maps were highly correlated with AD maps but were not correlated with amyloid-β/tau protein maps. This effect was not accounted for by the presence of obesity in the AD group.

conclusionOur research confirms that obesity-related grey matter atrophy resembles that of AD. Excess weight management could lead to improved health outcomes, slow down cognitive decline in aging, and lower the risk for AD.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAmyloid beta-PeptidesAtrophyCohort StudiesHumansMagnetic Resonance ImagingObesityPositron-Emission Tomographytau ProteinsAmyloid beta-Peptidestau ProteinsAlzheimer’s diseasegrey matterneurodegenerationobesity

Identifiers

PMID36565111
PMCPMC9912737
OpenAlexW4312128716

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.