Evidence map›Paper›PMID 31978055›Full record

Observational studyPLoS medicine2020

Dysregulation of multiple metabolic networks related to brain transmethylation and polyamine pathways in Alzheimer disease: A targeted metabolomic and transcriptomic study.

Uma V Mahajan, Vijay R Varma, Michael E Griswold, Chad T Blackshear, Yang An, Anup M Oommen, Sudhir Varma, Juan C Troncoso, Olga Pletnikova, Richard O'Brien and 3 more

Erratum issuedOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in PLoS medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 96 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed, 2 pooled it
6.1field-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

96 citing papers in PubMed, 2 syntheses or guidelines pooled it, 160 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Polyamine Metabolism in Brain Health and Disease.Neuropharmacology and therapy · 2026
    Article
  14. Article
  15. Review
  16. Article
  17. Metabolic dysregulation in Alzheimer's disease: A brain metabolomics approach.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  18. Article
  19. Cell type-specific master metabolic regulators of Alzheimer's disease.bioRxiv : the preprint server for biology · 2025
    Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 7 institutions in 4 countries.

Uma V MahajanClinical and Translational Neuroscience Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, United States of America.ORCID 0000-0002-3834-9318
Vijay R VarmaClinical and Translational Neuroscience Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, United States of America.
Michael E GriswoldUniversity of Mississippi Medical Center, Jackson, Mississippi, United States of America.
Chad T BlackshearUniversity of Mississippi Medical Center, Jackson, Mississippi, United States of America.ORCID 0000-0001-5114-5988
Yang AnBrain Aging and Behavior Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, United States of America.
Anup M OommenGlycoscience Group, NCBES National Centre for Biomedical Engineering Science, National University of Ireland Galway, Galway, Ireland.ORCID 0000-0001-7653-5106
Sudhir VarmaHiThru Analytics, Princeton, New Jersey, United States of America.
Juan C TroncosoJohns Hopkins School of Medicine, Baltimore, Maryland, United States of America.
Olga PletnikovaJohns Hopkins School of Medicine, Baltimore, Maryland, United States of America.
Richard O'BrienDuke University School of Medicine, Durham, North Carolina, United States of America.
Timothy J HohmanVanderbilt Memory & Alzheimer's Center, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.ORCID 0000-0002-3377-7014
Cristina Legido-QuigleyInstitute of Pharmaceutical Science, Kings College London, London, United Kingdom.ORCID 0000-0002-4018-214X
Madhav ThambisettyClinical and Translational Neuroscience Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, United States of America.
National Institutes of Health · USJohns Hopkins University · USUniversity of Mississippi Medical Center · USDuke University · USOllscoil na Gaillimhe – University of Galway · IESteno Diabetes Centers · DKVanderbilt University Medical Center · US

Funding

Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI Abhay Moghekar · 2020 to 2026
$29.3M
Understanding mechanisms and seeking novel biomarkers in Alzheimer's diseaseZIAAG000200 · NIA · NATIONAL INSTITUTE ON AGING · PI RESNICK, SUSAN · 2013 to 2024
$12.2M
Genetic Drivers of Resilience to Alzheimer's DiseaseR01AG059716 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HOHMAN, TIMOTHY J · 2018 to 2022
$4.4M
Genetic Resilience to the Clinical Manifestation of DementiaK01AG049164 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HOHMAN, TIMOTHY J · 2016 to 2020
$595k
NIA NIH HHS K01 AG049164NIA NIH HHS P30 AG066507NIA NIH HHS R01 AG059716
6 · The paper itself

Abstract

backgroundThere is growing evidence that Alzheimer disease (AD) is a pervasive metabolic disorder with dysregulation in multiple biochemical pathways underlying its pathogenesis. Understanding how perturbations in metabolism are related to AD is critical to identifying novel targets for disease-modifying therapies. In this study, we test whether AD pathogenesis is associated with dysregulation in brain transmethylation and polyamine pathways. METHODS AND

findingsWe first performed targeted and quantitative metabolomics assays using capillary electrophoresis-mass spectrometry (CE-MS) on brain samples from three groups in the Baltimore Longitudinal Study of Aging (BLSA) (AD: n = 17; Asymptomatic AD [ASY]: n = 13; Control [CN]: n = 13) (overall 37.2% female; mean age at death 86.118 ± 9.842 years) in regions both vulnerable and resistant to AD pathology. Using linear mixed-effects models within two primary brain regions (inferior temporal gyrus [ITG] and middle frontal gyrus [MFG]), we tested associations between brain tissue concentrations of 26 metabolites and the following primary outcomes: group differences, Consortium to Establish a Registry for Alzheimer's Disease (CERAD) (neuritic plaque burden), and Braak (neurofibrillary pathology) scores. We found significant alterations in concentrations of metabolites in AD relative to CN samples, as well as associations with severity of both CERAD and Braak, mainly in the ITG. These metabolites represented biochemical reactions in the (1) methionine cycle (choline: lower in AD, p = 0.003; S-adenosyl methionine: higher in AD, p = 0.005); (2) transsulfuration and glutathione synthesis (cysteine: higher in AD, p < 0.001; reduced glutathione [GSH]: higher in AD, p < 0.001); (3) polyamine synthesis/catabolism (spermidine: higher in AD, p = 0.004); (4) urea cycle (N-acetyl glutamate: lower in AD, p < 0.001); (5) glutamate-aspartate metabolism (N-acetyl aspartate: lower in AD, p = 0.002); and (6) neurotransmitter metabolism (gamma-amino-butyric acid: lower in AD, p < 0.001). Utilizing three Gene Expression Omnibus (GEO) datasets, we then examined mRNA expression levels of 71 genes encoding enzymes regulating key reactions within these pathways in the entorhinal cortex (ERC; AD: n = 25; CN: n = 52) and hippocampus (AD: n = 29; CN: n = 56). Complementing our metabolomics results, our transcriptomics analyses also revealed significant alterations in gene expression levels of key enzymatic regulators of biochemical reactions linked to transmethylation and polyamine metabolism. Our study has limitations: our metabolomics assays measured only a small proportion of all metabolites participating in the pathways we examined. Our study is also cross-sectional, limiting our ability to directly test how AD progression may impact changes in metabolite concentrations or differential-gene expression. Additionally, the relatively small number of brain tissue samples may have limited our power to detect alterations in all pathway-specific metabolites and their genetic regulators.

conclusionsIn this study, we observed broad dysregulation of transmethylation and polyamine synthesis/catabolism, including abnormalities in neurotransmitter signaling, urea cycle, aspartate-glutamate metabolism, and glutathione synthesis. Our results implicate alterations in cellular methylation potential and increased flux in the transmethylation pathways, increased demand on antioxidant defense mechanisms, perturbations in intermediate metabolism in the urea cycle and aspartate-glutamate pathways disrupting mitochondrial bioenergetics, increased polyamine biosynthesis and breakdown, as well as abnormalities in neurotransmitter metabolism that are related to AD.

Indexed as

AgedAged, 80 and overAlzheimer DiseaseBrainFemaleHumansLongitudinal StudiesMaleMetabolic Networks and PathwaysMetabolomeMethylationPolyaminesTranscriptomePolyamines

Identifiers

PMID31978055
PMCPMC6980402
OpenAlexW3002293416

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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.