Evidence map›Paper›PMID 35472831›Full record

ArticleNeurobiology of aging2022

Differences between multimodal brain-age and chronological-age are linked to telomere shortening.

Junhong Yu, Madhu Mathi Kanchi, Iris Rawtaer, Lei Feng, Alan Prem Kumar, Ee-Heok Kua, Rathi Mahendran, Alzheimer’s Disease Neuroimaging Initiative

Abstract read
In one paragraph

Article in Neurobiology of aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Geroscience-Centric Perspective for Geriatric Psychiatry: Integrating Aging Biology With Geriatric Mental Health Research.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2024
    Review
  9. Article
  10. 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

8 authors.

Junhong YuPsychology, School of Social Sciences, National Technological University, 48 Nanyang Avenue, Singapore 639798. Electronic address: junhong.yu@ntu.edu.sg.
Madhu Mathi KanchiDepartment of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, 14 Medical Drive, Singapore 119559; Department of Genome Sciences, The John Curtin School of Medical Research, The Australian National University, Canberra, ACT 2601.
Iris RawtaerDepartment of Psychological Medicine, Sengkang General Hospital, 110 Sengkang E way, Singapore 544886.
Lei FengDepartment of Psychological Medicine, Mind Science Centre, Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Drive, Singapore 117597.
Alan Prem KumarDepartment of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, 14 Medical Drive, Singapore 119559; NUS Center for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, MD3, 16 Medical Drive. Level 4, #04-01, Singapore 117600.
Ee-Heok KuaDepartment of Psychological Medicine, Mind Science Centre, Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Drive, Singapore 117597.
Rathi MahendranDepartment of Psychological Medicine, Mind Science Centre, Yong Loo Lin School of Medicine, National University of Singapore, 10 Medical Drive, Singapore 117597. Electronic address: pcmrathi@nus.edu.sg.
Alzheimer’s Disease Neuroimaging Initiative

Funding

Project 1U19AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI MONICA G. RIVERA-MINDT · 2016 to 2026
$226.7M
Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
CIHRNIA NIH HHS U01 AG024904NIA NIH HHS U19 AG024904
6 · The paper itself

Abstract

Telomere shortening is theorized to accelerate biological aging, however, this has not been tested in the brain and cognitive contexts. We used machine learning age-prediction models to determine brain/cognitive age and quantified the degree of accelerated aging as the discrepancy between brain and/or cognitive and chronological ages (i.e., age gap). We hypothesized these age gaps are associated with telomere length (TL). Using healthy participants from the ADNI-3 cohort (N = 196, Age

Indexed as

Cognitive DysfunctionTelomere ShorteningAgingBrainHumansMachine LearningTelomereBrain-ageCognitive-ageCortical thicknessResting-state functional connectivityStructural connectivitySubcortical gray matterTelomere

Identifiers

PMID35472831
PMCPMC9133148

What OpenQuestion holds

Textmetadata
LicenceTDM
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.