Evidence map›Paper›PMID 35481667›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2023

Predictive metabolic networks reveal sex- and APOE genotype-specific metabolic signatures and drivers for precision medicine in Alzheimer's disease.

Rui Chang, Eugenia Trushina, Kuixi Zhu, Syed Shujaat Ali Zaidi, Branden M Lau, Alexandra Kueider-Paisley, Sara Moein, Qianying He, Melissa L Alamprese, Barbora Vagnerova and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Sex differences inFrontiers in dementia · 2025
    Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Genetic risk in Alzheimer's disease.NPJ systems biology and applications · 2026
    Review
  7. Article
  8. Review
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  18. Serum Bile Acids Improve Prediction of Alzheimer's Progression in a Sex-Dependent Manner.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
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  20. 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

17 authors at 4 institutions in 1 country.

Rui ChangDepartment of Neurology, University of Arizona, Tucson, Arizona, USA.ORCID 0000-0001-7950-8920
Eugenia TrushinaDepartment of Neurology, Mayo Clinic, Rochester, Minnesota, USA.
Kuixi ZhuDepartment of Neurology, University of Arizona, Tucson, Arizona, USA.
Syed Shujaat Ali ZaidiDepartment of Neurology, University of Arizona, Tucson, Arizona, USA.
Branden M LauArizona Research Labs, Genetics Core, University of Arizona, Tucson, Arizona, USA.
Alexandra Kueider-PaisleyDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina, USA.
Sara MoeinThe Center for Innovation in Brain Science, University of Arizona, Tucson, Arizona, USA.
Qianying HeDepartment of Biosystems Engineering, University of Arizona, Tucson, Arizona, USA.
Melissa L AlampreseThe Center for Innovation in Brain Science, University of Arizona, Tucson, Arizona, USA.
Barbora VagnerovaDepartment of Pharmacology, College of Medicine, University of Arizona, Tucson, Arizona, USA.
Andrew TangDepartment of Neuroscience, University of Arizona, Tucson, Arizona, USA.
Ramachandran VijayanDepartment of Neurology, University of Arizona, Tucson, Arizona, USA.
Yanyun LiuDepartment of Neurology, University of Arizona, Tucson, Arizona, USA.
Andrew J SaykinDepartment of Radiology and Imaging Sciences and the Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, Indiana, USA.
Roberta D BrintonDepartment of Neurology, University of Arizona, Tucson, Arizona, USA.
Rima Kaddurah-DaoukDepartment of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina, USA.
Alzheimer's Disease Neuroimaging Initiative† and the Alzheimer's Disease Metabolomics ConsortiumDepartment of Neurology, University of Arizona, Tucson, Arizona, USA.
University of Arizona · USDuke University · USIndiana University School of MedicineMayo Clinic · US

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
National Centralized Repository for Alzheimer's Disease and Related Dementias (NCRAD)U24AG021886 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI TATIANA M. FOROUD · 2002 to 2026
$119.8M
Project 4 - Mechanistic studies on the role of the gut microbiome in models for Alzheimer's diseaseU19AG063744 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Rima F Kaddurah-Daouk · 2019 to 2026
$54.1M
Metabolomic Signatures for Disease Sub-classification and Target Prioritization in AMP-ADU01AG061359 · NIA · DUKE UNIVERSITY · PI KADDURAH-DAOUK, RIMA F, KASTENMULLER, GABI · 2018 to 2022
$10.0M
Mitochondrial Complex I as a Target for Neuroprotection in ADRF1AG055549 · NIA · MAYO CLINIC ROCHESTER · PI TRUSHINA, EUGENIA · 2017 to 2025
$7.0M
Metabolic Signatures Underlying Vascular Risk Factors for Alzheimer-type DementiasRF1AG051550 · NIA · DUKE UNIVERSITY · PI KADDURAH-DAOUK, RIMA F, KLING, MITCHEL ALLAN · 2015 to 2016
$6.3M
Sex Differences in the Molecular Determinants of Alzheimer's Disease Risk: Prodromal EndophenotypeR01AG057931 · NIA · UNIVERSITY OF ARIZONA · PI BRINTON, ROBERTA EILEEN, CHANG, RUI · 2018 to 2022
$6.0M
Metabolic Networks and Pathways Predictive of Sex Differences in AD Risk and Responsiveness to TreatmentRF1AG059093 · NIA · DUKE UNIVERSITY · PI BRINTON, ROBERTA EILEEN, CHANG, RUI · 2018 to 2018
$5.9M
Probing Heterogeneity of Alzheimer's Disease Using iPSCsR01AG055909 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI Tracy L YOUNG-PEARSE · 2018 to 2026
$5.7M
Metabolic Networks and Pathways in Alzheimer's DiseaseR01AG046171 · NIA · DUKE UNIVERSITY · PI KADDURAH-DAOUK, RIMA F · 2014 to 2017
$4.4M
Metabolic Network Analysis of Biochemical Trajectories in Alzheimer's DiseaseRF1AG057452 · NIA · DUKE UNIVERSITY · PI KADDURAH-DAOUK, RIMA F, KASTENMULLER, GABI · 2017 to 2017
$3.5M
Gut Liver Brain Biochemical Axis in Alzheimer's DiseaseRF1AG058942 · NIA · DUKE UNIVERSITY · PI KADDURAH-DAOUK, RIMA F, VAN DUIJN, CORNELIA MARJA · 2018 to 2018
$3.4M
NIA NIH HHS R01 AG046171NIA NIH HHS R01 AG055909NIA NIH HHS R01 AG057931NIA NIH HHS R56 AG062620NIA NIH HHS RF1 AG051550NIA NIH HHS RF1 AG055549NIA NIH HHS RF1 AG057452NIA NIH HHS RF1 AG057457NIA NIH HHS RF1 AG058942NIA NIH HHS RF1 AG059093NIA NIH HHS RF1 AG062135NIA NIH HHS T32 AG061897NIA NIH HHS U01 AG024904NIA NIH HHS U01 AG061359NIA NIH HHS U19 AG063744NIA NIH HHS U24 AG021886NINDS NIH HHS R01 NS107265NINDS NIH HHS UG3 NS113776NINDS NIH HHS UH3 NS113776
6 · The paper itself

Abstract

introductionLate-onset Alzheimer's disease (LOAD) is a complex neurodegenerative disease characterized by multiple progressive stages, glucose metabolic dysregulation, Alzheimer's disease (AD) pathology, and inexorable cognitive decline. Discovery of metabolic profiles unique to sex, apolipoprotein E (APOE) genotype, and stage of disease progression could provide critical insights for personalized LOAD medicine.

methodsSex- and APOE-specific metabolic networks were constructed based on changes in 127 metabolites of 656 serum samples from the Alzheimer's Disease Neuroimaging Initiative cohort.

resultsApplication of an advanced analytical platform identified metabolic drivers and signatures clustered with sex and/or APOE ɛ4, establishing patient-specific biomarkers predictive of disease state that significantly associated with cognitive function. Presence of the APOE ɛ4 shifts metabolic signatures to a phosphatidylcholine-focused profile overriding sex-specific differences in serum metabolites of AD patients. DISCUSSION: These findings provide an initial but critical step in developing a diagnostic platform for personalized medicine by integrating metabolomic profiling and cognitive assessments to identify targeted precision therapeutics for AD patient subgroups through computational network modeling.

Indexed as

Alzheimer DiseaseNeurodegenerative DiseasesApolipoprotein E4Apolipoproteins EFemaleGenotypeHumansMaleMetabolic Networks and PathwaysPrecision MedicineApolipoprotein E4Apolipoproteins EAlzheimer's Disease Neuroimaging Initiativeapolipoprotein E ε4computational systems biologylate-onset Alzheimer's diseasemetabolic biomarkersmetabolic networkmetabolomicsprecision medicinesex-specific metabolic changes

Identifiers

PMID35481667
PMCPMC10402890
OpenAlexW4225082371

What OpenQuestion 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 OpenQuestion graph.