Evidence map›Paper›PMID 36910594›Full record

ArticleNature aging2022

Longitudinal phenotypic aging metrics in the Baltimore Longitudinal Study of Aging.

Pei-Lun Kuo, Jennifer A Schrack, Morgan E Levine, Michelle D Shardell, Eleanor M Simonsick, Chee W Chia, Ann Zenobia Moore, Toshiko Tanaka, Yang An, Ajoy Karikkineth and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Nature aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 2 pooled it
7.0field-weighted citation impact, top 2% 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

64 citing papers in PubMed, 2 syntheses or guidelines pooled it, 86 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. A generalized approach for estimating the Pace of Aging.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Article
  6. Article
  7. Article
  8. Embracing non-linearity in human ageing.Nature reviews. Genetics · 2026
    Review
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  12. Review
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  17. Article
  18. Social and clinical frailty indices in aging mice: a comparative analysis of longitudinal and cross-sectional designs.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Article
  19. Article
  20. Article

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

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

17 authors at 4 institutions in 1 country.

Pei-Lun KuoTranslational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Jennifer A SchrackDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Morgan E LevineDepartment of Pathology, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0001-9890-9324
Michelle D ShardellDepartment of Epidemiology and Public Health and Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
Eleanor M SimonsickTranslational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Chee W ChiaLaboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Ann Zenobia MooreTranslational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Toshiko TanakaTranslational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Yang AnLaboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Ajoy KarikkinethLaboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Majd AlGhatrifLaboratory of Cardiovascular Science, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Palchamy ElangoTranslational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.ORCID 0000-0003-4850-522X
Linda M ZukleyClinical Research Core, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Josephine M EganLaboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Rafael de CaboTranslational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.ORCID 0000-0002-3354-2442
Susan M ResnickLaboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Luigi FerrucciTranslational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.ORCID 0000-0002-6273-1613
National Institutes of Health · USJohns Hopkins University · USUniversity of Maryland, Baltimore · USYale University · US

Funding

The National Health and Trends StudyU01AG032947 · NIA · JOHNS HOPKINS UNIVERSITY · PI VICKI A. FREEDMAN, JENNIFER ANN SCHRACK · 2008 to 2026
$169.4M
The Baltimore Longitudinal Study Of AgingZIAAG000015 · NIA · NATIONAL INSTITUTE ON AGING · PI SIMONSICK, ELEANOR MARIE · 2009 to 2025
$116.9M
University of Maryland Claude D. Pepper Older Americans Independence Center (UM-OAIC)P30AG028747 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI ALICE S. RYAN · 2006 to 2026
$28.9M
THE BALTIMORE LONGITUDINAL STUDY OF HUMAN AGINGZ01AG000015 · NIA · NATIONAL INSTITUTE ON AGING · PI FERRUCCI, LUIGI · 1985 to 2008
$11.4M
Molecular Networks Underlying Resilience to Alzheimer's Disease Among APOE E4 CarriersR01AG057912 · NIA · YALE UNIVERSITY · PI GAITERI, CHRISTOPHER A., HIGGINS-CHEN, ALBERT TZONGYANG · 2017 to 2021
$4.5M
Statistical methods for vitamin D targets for functional outcomes in older adultsR01AG048069 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI SHARDELL, MICHELLE DENISE · 2015 to 2025
$4.3M
QUANTITATIVE ASSESSMENT OF BIOLOGICAL AGE AND ITS APPLICATIONSR01AG065403 · NIA · YALE UNIVERSITY · PI Vadim N. Gladyshev, Albert Tzongyang Higgins-Chen · 2020 to 2026
$4.2M
Contribution of sensorimotor function to risk and pathogenic mechanisms of Alzheimer's disease and related dementiasR01AG061786 · NIA · JOHNS HOPKINS UNIVERSITY · PI AGRAWAL, YURI, LIN, FRANK R · 2019 to 2023
$3.7M
Methods to Test the Role of Age-related Lifestyle and Vaginal Microenvironment Changes and the Prevention, Treatment, and Progression of Genitourinary Syndrome of MenopauseR01AG069915 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI REBECCA M. BROTMAN, Michelle Denise Shardell · 2021 to 2026
$3.1M
Energy Reserves, Physical Activity, and Alzheimer's Disease in the Baltimore Longitudinal Study of AgingU01AG057545 · NIA · JOHNS HOPKINS UNIVERSITY · PI SCHRACK, JENNIFER ANN · 2017 to 2021
$3.0M
AMYLOIDOGENIC INDUCTION OF CELLULAR SENESCENCE IN ALZHEIMER'S DISEASER01AG068285 · NIA · YALE UNIVERSITY · PI MIRANKER, ANDREW D. · 2020 to 2024
$2.1M
Methods to Test Lifestyle, Vaginal Microenvironment, and Genitourinary Symptoms across Menopause TransitionR56AG068673 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI BROTMAN, REBECCA M., SHARDELL, MICHELLE DENISE · 2020 to 2020
$796k
Intramural NIH HHS Z01 AG000015Intramural NIH HHS Z99 AG999999Intramural NIH HHS ZIA AG000015NIA NIH HHS P30 AG028747NIA NIH HHS R01 AG048069NIA NIH HHS R01 AG057912NIA NIH HHS R01 AG061786NIA NIH HHS R01 AG065403NIA NIH HHS R01 AG068285NIA NIH HHS R01 AG069915NIA NIH HHS R03 AG070178NIA NIH HHS R56 AG068673NIA NIH HHS U01 AG032947NIA NIH HHS U01 AG057545
6 · The paper itself

Abstract

To define metrics of phenotypic aging, it is essential to identify biological and environmental factors that influence the pace of aging. Previous attempts to develop aging metrics were hampered by cross-sectional designs and/or focused on younger populations. In the Baltimore Longitudinal Study of Aging (BLSA), we collected longitudinally across the adult age range a comprehensive list of phenotypes within four domains (body composition, energetics, homeostatic mechanisms and neurodegeneration/neuroplasticity) and functional outcomes. We integrated individual deviations from population trajectories into a global longitudinal phenotypic metric of aging and demonstrate that accelerated longitudinal phenotypic aging is associated with faster physical and cognitive decline, faster accumulation of multimorbidity and shorter survival. These associations are more robust compared with the use of phenotypic and epigenetic measurements at a single time point. Estimation of these metrics required repeated measures of multiple phenotypes over time but may uniquely facilitate the identification of mechanisms driving phenotypic aging and subsequent age-related functional decline.

Indexed as

BaltimoreCross-Sectional StudiesLongitudinal StudiesPhenotype

Identifiers

PMID36910594
PMCPMC9997119
OpenAlexW4285728814

What Socratic holds

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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 Socratic graph.