Evidence map›Paper›PMID 33427733›Full record

ArticleJournal of Alzheimer's disease : JAD2021

Metabolites Associated with Early Cognitive Changes Implicated in Alzheimer's Disease.

Burcu F Darst, Zhiguang Huo, Erin M Jonaitis, Rebecca L Koscik, Lindsay R Clark, Qiongshi Lu, William S Kremen, Carol E Franz, Brinda Rana, Michael J Lyons and 4 more

Open access · greenAbstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

14 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. The shift in the fatty acid composition of the circulating lipidome in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Metabolic Profiling of Cognitive Aging in Midlife.Frontiers in aging neuroscience · 2020
    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

14 authors at 5 institutions in 1 country.

Burcu F DarstDepartment of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Zhiguang HuoDepartment of Biostatistics, University of Florida, Gainesville, FL, USA.
Erin M JonaitisWisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Rebecca L KoscikWisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Lindsay R ClarkWisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Qiongshi LuDepartment of Biostatistics & Medical Informatics, University of Wisconsin, Madison, WI, USA.
William S KremenUniversity of California, San Diego, La Jolla, CA, USA.
Carol E FranzUniversity of California, San Diego, La Jolla, CA, USA.
Brinda RanaUniversity of California, San Diego, La Jolla, CA, USA.
Michael J LyonsDepartment of Psychological & Brain Sciences, Boston University, Boston, MA, USA.
Kirk J HoganWisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Jinying ZhaoDepartment of Epidemiology, University of Florida, Gainesville, FL, USA.
Sterling C JohnsonWisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Corinne D EngelmanDepartment of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
University of Wisconsin–Madison · USUniversity of California, San Diego · USUniversity of Florida · USBoston University · USGeriatric Research Education and Clinical Center · US

Funding

Wisconsin Registry for Alzheimer's Prevention: Sex Differences in DNA MethylationR01AG027161 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Nathaniel Ark Chin, Sterling C Johnson · 2007 to 2026
$35.6M
Wisconsin Alzheimer's Disease Research CenterP30AG062715 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI AMY J. KIND · 2019 to 2026
$34.5M
Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
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
Research Training for Computation and Informatics in Biology and MedicineT15LM007359 · NLM · UNIVERSITY OF WISCONSIN-MADISON · PI Mark W. Craven, Colin Noel Dewey · 2002 to 2026
$22.6M
The VETSA Longitudinal MRI Twin Study of AgingR01AG022381 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2003 to 2019
$22.3M
Center for Demography and EcologyR24HD047873 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI RAYMO, JAMES M · 2004 to 2013
$7.2M
Scientific and Technical CoreP2CHD047873 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI Katherine J. Curtis · 2014 to 2026
$5.1M
Genomic and Metabolomic Data Integration in a Longitudinal Cohort at Risk for Alzheimer's DiseaseR01AG054047 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI ENGELMAN, CORINNE D. · 2016 to 2020
$3.6M
Epigenetic Determinants of Major Depression: a Monozygotic Discordant TwinStudyR01MH097018 · NIMH · UNIVERSITY OF FLORIDA · PI ZHAO, JINYING · 2013 to 2017
$3.3M
SES health gradients in late life: testing models of gene-environment interplay in an international twin consortiumR01AG059329 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI FINCH, BRIAN K., GATZ, MARGARET · 2018 to 2022
$2.9M
Moderate alcohol use: risk or protective factor for age-related cognitive decline, mild cognitive impairment, and brain health in agingR01AG062483 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MCEVOY, LINDA KATHLEEN · 2019 to 2021
$1.6M
NCATS NIH HHS UL1 TR000427NIA NIH HHS P30 AG062715NIA NIH HHS R01 AG022381NIA NIH HHS R01 AG027161NIA NIH HHS R01 AG050595NIA NIH HHS R01 AG054047NIA NIH HHS R01 AG059329NIA NIH HHS R01 AG062483NICHD NIH HHS P2C HD047873NICHD NIH HHS R24 HD047873NIMH NIH HHS R01 MH097018NLM NIH HHS T15 LM007359
6 · The paper itself

Abstract

backgroundUnderstanding metabolic mechanisms associated with cognitive changes preceding an Alzheimer's disease (AD) diagnosis could advance our understanding of AD progression and inform preventive methods.

objectiveWe investigated the metabolomics of the early changes in executive function and delayed recall, the earliest aspects of cognitive function to change in the course of AD development, in order to better understand mechanisms that could contribute to early stages and progression of this disease.

methodsThis investigation used longitudinal plasma samples from the Wisconsin Registry for Alzheimer's Prevention (WRAP), a cohort of participants who were dementia free at enrollment and enriched with a parental history of AD. Metabolomic profiles were quantified for 2,324 fasting plasma samples among 1,200 participants, each with up to three study visits, which occurred every two years. Metabolites were individually tested for association with executive function and delayed recall trajectories across age.

resultsOf 1,097 metabolites tested, levels of seven were associated with executive function trajectories, including an amino acid cysteine S-sulfate and three fatty acids, including erucate (22 : 1n9), while none were associated with delayed recall trajectories. Replication was attempted for four of these metabolites that were present in the Vietnam Era Twin Study of Aging (VETSA). Although none reached statistical significance, three of these associations showed consistent effectdirections.

conclusionOur results suggest potential metabolomic mechanisms that could contribute to the earliest signs of cognitive decline. In particular, fatty acids may be associated with cognition in a manner that is more complex than previously suspected.

Indexed as

AdultAgedAged, 80 and overAlzheimer DiseaseCognitive DysfunctionCysteineDisease ProgressionExecutive FunctionFatty AcidsFemaleHumansLongitudinal StudiesMaleMendelian Randomization AnalysisMental RecallMetabolic Networks and PathwaysCysteineFatty AcidsAlzheimer’s diseaseamino acidscognitionexecutive functionfatty acidslongitudinal analysismetabolomics

Identifiers

PMID33427733
PMCPMC8054536
OpenAlexW3119123056

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.