Evidence map›Paper›PMID 36929676›Full record

ArticleHuman brain mapping2023

Magnetic resonance evidence of increased iron content in subcortical brain regions in asymptomatic Alzheimer's disease.

Qixiang Lin, Salman Shahid, Antoine Hone-Blanchet, Shuai Huang, Junjie Wu, Aditya Bisht, David Loring, Felicia Goldstein, Allan Levey, Bruce Crosson and 2 more

Abstract read
In one paragraph

Article in Human brain mapping, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Change in transverse relaxation rates (RHuman brain mapping · 2025
    Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. R-Mixup: Riemannian Mixup for Biological Networks.KDD : proceedings. International Conference on Knowledge Discovery & Data Mining · 2023
    Article
  13. Article
  14. Review
  15. 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

12 authors.

Qixiang LinDepartment of Neurology, School of Medicine, Emory University, Atlanta, Georgia, USA.
Salman ShahidDepartment of Neurology, School of Medicine, Emory University, Atlanta, Georgia, USA.
Antoine Hone-BlanchetDepartment of Neurology, School of Medicine, Emory University, Atlanta, Georgia, USA.
Shuai HuangDepartment of Radiology and Imaging Sciences, School of Medicine, Emory University, Atlanta, Georgia, USA.
Junjie WuDepartment of Radiology and Imaging Sciences, School of Medicine, Emory University, Atlanta, Georgia, USA.
Aditya BishtDepartment of Neurology, School of Medicine, Emory University, Atlanta, Georgia, USA.
David LoringDepartment of Neurology, School of Medicine, Emory University, Atlanta, Georgia, USA.
Felicia GoldsteinDepartment of Neurology, School of Medicine, Emory University, Atlanta, Georgia, USA.
Allan LeveyDepartment of Neurology, School of Medicine, Emory University, Atlanta, Georgia, USA.
Bruce CrossonDepartment of Neurology, School of Medicine, Emory University, Atlanta, Georgia, USA.
James LahDepartment of Neurology, School of Medicine, Emory University, Atlanta, Georgia, USA.
Deqiang QiuDepartment of Radiology and Imaging Sciences, School of Medicine, Emory University, Atlanta, Georgia, USA.ORCID 0000-0001-8375-1755

Funding

The Emory Healthy Brain Study: Discovering Predictive Biomarkers for Alzheimer's DiseaseR01AG070937 · NIA · EMORY UNIVERSITY · PI LAH, JAMES J · 2021 to 2025
$35.2M
The Goizueta Alzheimer's Disease Research CenterP30AG066511 · NIA · EMORY UNIVERSITY · PI Amy D Rodriguez · 2020 to 2026
$29.0M
Cerebral hemodynamic impairment in symptomatic and asymptomatic Alzheimer's DiseaseR01AG072603 · NIA · EMORY UNIVERSITY · PI Deqiang Qiu · 2022 to 2026
$3.8M
Fast multiparametric MR imaging as early biomarkers of Alzheimer's DiseaseR21AG064405 · NIA · EMORY UNIVERSITY · PI QIU, DEQIANG · 2019 to 2020
$429k
NIA NIH HHS P30 AG066511NIA NIH HHS R01 AG070937NIA NIH HHS R01 AG072603NIA NIH HHS R21 AG064405
6 · The paper itself

Abstract

While iron over-accumulation has been reported in late stage Alzheimer's disease (AD), whether this occurs early in the asymptomatic stage of AD remains unknown. We aimed to assess brain iron levels in asymptomatic AD using quantitative MR relaxometry of effective transverse relaxation rate (R2*) and longitudinal relaxation rate (R1), and recruited 118 participants comprised of three groups including healthy young participants, and cognitively normal older individuals without or with positive AD biomarkers based on cerebrospinal fluid (CSF) proteomics analysis. Compared with the healthy young group, increased R2* was found in widespread cortical and subcortical regions in the older groups. Further, significantly higher levels of R2* were found in the cognitively normal older subjects with positive CSF AD biomarker (i.e., asymptomatic AD) compared with those with negative AD biomarker in subcortical regions including the left and right caudate, left and right putamen, and left and right globus pallidus (p < .05 for all regions), suggesting increased iron content in these regions. Subcortical R2* of some regions was found to significantly correlate with CSF AD biomarkers and neuropsychological assessments of visuospatial functions. In conclusion, R2* could be a valuable biomarker for studying early pathophysiological changes in AD.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesBiomarkersBrainHumansIronMagnetic Resonance ImagingMagnetic Resonance SpectroscopyAmyloid beta-PeptidesBiomarkersIronagingAlzheimer's diseasebeta-amyloidgrey matteriron depositionquantitative magnetic resonance imagingsubcortical

Identifiers

PMID36929676
PMCPMC10171513

What OpenQuestion 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 OpenQuestion graph.