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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 65 out of 100. Prevention and risk

Topic: Risk, prevention and care in population studies

Understanding how metabolites are longitudinally influenced by age and sex could facilitate the identification of metabolomic profiles and trajectories that indicate disease risk. We investigated the metabolomics of age and sex using longitudinal plasma samples from the Wisconsin Registry for Alzheimer's Prevention (WRAP), a cohort of participants who were dementia free at enrollment. Metabolomic profiles were quantified for 2,344 fasting plasma samples among 1,212 participants, each with up to three study visits. Of 1,097 metabolites tested, 623 (56.8%) were associated with age and 695 (63.4%) with sex after correcting for multiple testing. Approximately twice as many metabolites were associated with age in stratified analyses of women versus men, and 68 metabolite trajectories significantly differed by sex, most notably including sphingolipids, which tended to increase in women and decrease in men with age. Using genome-wide genotyping, we also report the heritabilities of metabolites investigated, which ranged dramatically (0.2-99.2%); however, the median heritability of 36.2% suggests that many metabolites are highly influenced by a complex combination of genomic and environmental influences. These findings offer a more profound description of the aging process and may inform many new hypotheses regarding the role metabolites play in healthy and accelerated aging.

Key findings

Why it matters

This study describes how metabolites in plasma change with age and sex in a dementia-free cohort, and reports heritability estimates for metabolites. It does not test or report any treatment, cure, or prevention for Alzheimer's disease.

Study details

How this study scored 65/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record 2 of 4; Study design 7 of 12; Strength of evidence 3 of 5; Peer-review validation 10 of 10; How recent 2 of 5; Sample size 3 of 4; Effect reported 2 of 3; Studied in people 3 of 3; Randomised / blinded 0 of 2; Times cited 5 of 7; Citations per year 4 of 5; Impact for its field and year 3 of 6; Cited by studies here 2 of 6; Still being cited 3 of 4; Senior author's track record 2 of 4; Institution's track record 2 of 3; Multi-centre collaboration 1 of 3; Indexed in PubMed 2 of 2; Free to read 2 of 2. Total 65 of 100.65 of 100 points earned35 not earned

Published in a peer-reviewed journal, and it is a longitudinal study following the same people over time. Scored zero for randomised / blinded because the record does not state it.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (Aging)
Journal's citation record 2 / 4 Aging: journal h-index 162 (OpenAlex, 2026-10-29)
Study design 7 / 12 A longitudinal study following the same people over time
Strength of evidence 3 / 5 Rated “moderate” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 2 / 5 2019 — within 10 year(s) of the newest study here
Sample size 3 / 4 1,212 participants
Effect reported 2 / 3 Effect reported as a number, without an interval or test
Studied in people 3 / 3 Studied in people (participant count stated)
Randomised / blinded 0 / 2 No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 5 / 7 Cited 200 times (OpenAlex, 2026-10-10)
Citations per year 4 / 5 22.2 citations a year over 9 year(s) since 2019
Impact for its field and year 3 / 6 Cited 6.9× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 2 / 6 Cited by 3 other studies in this library
Still being cited 3 / 4 Cited 72 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 2 / 4 Last-listed author Corinne D. Engelman: h-index 40 (OpenAlex, whole career)
Institution's track record 2 / 3 University of Wisconsin–Madison: institution h-index 1,518 (OpenAlex)
Multi-centre collaboration 1 / 3 OpenAlex lists 3 institution(s) in 1 country
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 30799310)
Free to read 2 / 2 Free to read
Total 65 / 100 —

What each of these 20 components measures, and what this score is not →

Read the original

Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.

APA 7th

Darst, B. F., Koscik, R. L., Hogan, K. J., Johnson, S. C., & Engelman, C. D. (2019). Longitudinal plasma metabolomics of aging and sex. Aging. https://doi.org/10.18632/aging.101837

Vancouver

Darst BF, Koscik RL, Hogan KJ, Johnson SC, Engelman CD. Longitudinal plasma metabolomics of aging and sex. Aging. 2019. doi:10.18632/aging.101837. PMID: 30799310.

BibTeX

@article{darst2019-30799310,
  author  = {Darst, B. F. and Koscik, R. L. and Hogan, K. J. and Johnson, S. C. and Engelman, C. D.},
  title   = {{Longitudinal plasma metabolomics of aging and sex}},
  journal = {Aging},
  year    = {2019},
  doi     = {10.18632/aging.101837},
  pmid    = {30799310},
  url     = {https://doi.org/10.18632/aging.101837}
}

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