Evidence map›Paper›PMID 38454901›Full record

ArticleAge and ageing2024

Midlife cumulative deficit frailty predicts Alzheimer's disease-related plasma biomarkers in older adults.

Erik Buchholz, Nathan A Gillespie, Jack F Hunt, Chandra A Reynolds, Robert A Rissman, Angelica Schroeder, Isaac Cortes, Tyler Bell, Michael J Lyons, William S Kremen and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Age and ageing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Mediators of attachment, frailty, and mild cognitive impairment in older adults.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2026
    Article
  2. Article
  3. Article
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

11 authors at 6 institutions in 1 country.

Erik BuchholzDepartment of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA.
Nathan A GillespieVirginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, VA 23298, USA.ORCID 0000-0001-8655-2823
Jack F HuntDepartment of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA.
Chandra A ReynoldsDepartment of Psychology, University of California Riverside, Riverside, CA 92521, USA.
Robert A RissmanDepartment of Neurosciences, University of California, San Diego and VA San Diego Healthcare System, La Jolla, CA 92093, USA.
Angelica SchroederDepartment of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA.
Isaac CortesDepartment of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA.
Tyler BellDepartment of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA.
Michael J LyonsDepartment of Psychological and Brain Sciences, Boston University, Boston, MA 02215, USA.
William S KremenDepartment of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA.
Carol E FranzDepartment of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA.
University of California San Diego · USBoston University · USUniversity of Arkansas at Little Rock · USUniversity of California, Riverside · USUniversity of Southern California · USVirginia Commonwealth University · US

Funding

UCSD Shiley-Marcos Alzheimer's Disease Research Center P30P30AG062429 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Mark W Bondi · 2019 to 2026
$34.9M
The VETSA Longitudinal Twin Study of Cognition and Aging (VETSA 4)R01AG050595 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ELMAN, JEREMY A, FRANZ, CAROL ELAINE · 2015 to 2024
$28.0M
USCADRC Diversity Supplement PachicanoP30AG066530 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HELENA Chang CHUI, ARTHUR W TOGA · 2020 to 2026
$27.8M
The VETSA Longitudinal MRI Twin Study of AgingR01AG022381 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2003 to 2019
$22.3M
Urban Air Pollution and Pathological Brain Aging: A Nationwide Twin Study in MenP01AG055367 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHEN, JIU-CHIUAN, FINCH, CALEB E · 2018 to 2022
$11.5M
The VETSA Longitudinal MRI Twin Study of Aging (VETSA MRI 4)R01AG076838 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE, Jeremy A Elman · 2022 to 2026
$8.7M
Genetic Predictors, Transcriptomic Biomarkers, & Neurobiological Signatures of Resilience to Alzheimer's DiseaseR01AG064955 · NIA · UPSTATE MEDICAL UNIVERSITY · PI FENNEMA-NOTESTINE, CHRISTINE, GLATT, STEPHEN J · 2019 to 2023
$3.8M
Gene-Environment Interplay of Social Contexts and Aging-Related OutcomesR01AG037985 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PEDERSEN, NANCY L · 2010 to 2014
$3.2M
NIA NIH HHS P01 AG055367NIA NIH HHS P30 AG062429NIA NIH HHS P30 AG066530NIA NIH HHS R01 AG022381NIA NIH HHS R01 AG037985NIA NIH HHS R01 AG050595NIA NIH HHS R01 AG064955NIA NIH HHS R01 AG076838NIH HHS R01 AG050595
6 · The paper itself

Abstract

backgroundThe study explores whether frailty at midlife predicts mortality and levels of biomarkers associated with Alzheimer's disease and related dementias (ADRD) and neurodegeneration by early old age. We also examine the heritability of frailty across this age period.

methodsParticipants were 1,286 community-dwelling men from the Vietnam Era Twin Study of Aging at average ages 56, 62 and 68, all without ADRD at baseline. The cumulative deficit frailty index (FI) comprised 37 items assessing multiple physiological systems. Plasma biomarkers at age 68 included beta-amyloid (Aβ40, Aβ42), total tau (t-tau) and neurofilament light chain (NfL).

resultsBeing frail doubled the risk of all-cause mortality by age 68 (OR = 2.44). Age 56 FI significantly predicted age 68 NfL (P = 0.014), Aβ40 (P = 0.001) and Aβ42 (P = 0.023), but not t-tau. Age 62 FI predicted all biomarkers at age 68: NfL (P = 0.023), Aβ40 (P = 0.002), Aβ42 (P = 0.001) and t-tau (P = 0.001). Age 68 FI scores were associated with age 68 levels of NfL (P = 0.027), Aβ40 (P < 0.001), Aβ42 (P = 0.001) and t-tau (P = 0.003). Genetic influences accounted for 45-48% of the variance in frailty and significantly contributed to its stability across 11 years.

conclusionsFrailty during one's 50s doubled the risk of mortality by age 68. A mechanism linking frailty and ADRD may be through its associations with biomarkers related to neurodegeneration. Cumulative deficit frailty increases with age but remains moderately heritable across the age range studied. With environmental factors accounting for about half of its variance, early interventions aimed at reducing frailty may help to reduce risk for ADRD.

Indexed as

Alzheimer DiseaseFrailtyAgedAmyloid beta-PeptidesBiomarkersHumansMaleAmyloid beta-PeptidesBiomarkerscumulative deficit frailtyneurofilament light chainolder peopleplasma beta amyloidplasma biomarkersplasma t-tau

Identifiers

PMID38454901
PMCPMC10921085
OpenAlexW4392603820

What OpenQuestion holds

Textmetadata
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.