Evidence map›Paper›PMID 35253754›Full record

ArticleJournal of Alzheimer's disease : JAD2022

Targeted Metabolomic Analysis in Alzheimer's Disease Plasma and Brain Tissue in Non-Hispanic Whites.

Karel Kalecký, Dwight C German, Albert A Montillo, Teodoro Bottiglieri

Open access · hybridAbstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
4.4field-weighted citation impact, top 4% 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

47 citing papers in PubMed, 55 citations in OpenAlex.

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  10. EFE-8c4, a polyamine fromFrontiers in neuroscience · 2026
    Article
  11. Article
  12. Article
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  15. A seven-year longitudinal study of the Alzheimer's disease blood metabolome.medRxiv : the preprint server for health sciences · 2025
    Article
  16. Article
  17. Genetic regulation of the metabolome differs by sex, Alzheimer's disease stage, and plasma biomarker status.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  18. ACS pharmacology & translational science · 2025
    Review
  19. Article
  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

4 authors at 3 institutions in 1 country.

Karel KaleckýInstitute of Biomedical Studies, Baylor University, Waco, TX, USA.
Dwight C GermanDepartment of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Albert A MontilloLyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Teodoro BottiglieriInstitute of Biomedical Studies, Baylor University, Waco, TX, USA.
The University of Texas Southwestern Medical Center · USBaylor University · USResearch Institute of Dallas · US

Funding

Research Education ComponentP30AG019610 · NIA · SUN HEALTH RESEARCH INSTITUTE · PI REIMAN, ERIC MICHAEL · 2001 to 2020
$32.5M
National Brain and Tissue Resource for Parkinson's Disease and Related DisordersU24NS072026 · NINDS · BANNER SUN HEALTH RESEARCH INSTITUTE · PI BEACH, THOMAS G · 2011 to 2015
$7.8M
NIA NIH HHS P30 AG019610NINDS NIH HHS U24 NS072026
6 · The paper itself

Abstract

backgroundMetabolites are biological compounds reflecting the functional activity of organs and tissues. Understanding metabolic changes in Alzheimer's disease (AD) can provide insight into potential risk factors in this multifactorial disease and suggest new intervention strategies or improve non-invasive diagnosis.

objectiveIn this study, we searched for changes in AD metabolism in plasma and frontal brain cortex tissue samples and evaluated the performance of plasma measurements as biomarkers.

methodsThis is a case-control study with two tissue cohorts: 158 plasma samples (94 AD, 64 controls; Texas Alzheimer's Research and Care Consortium - TARCC) and 71 postmortem cortex samples (35 AD, 36 controls; Banner Sun Health Research Institute brain bank). We performed targeted mass spectrometry analysis of 630 compounds (106 small molecules: UHPLC-MS/MS, 524 lipids: FIA-MS/MS) and 232 calculated metabolic indicators with a metabolomic kit (Biocrates MxP® Quant 500).

resultsWe discovered disturbances (FDR≤0.05) in multiple metabolic pathways in AD in both cohorts including microbiome-related metabolites with pro-toxic changes, methylhistidine metabolism, polyamines, corticosteroids, omega-3 fatty acids, acylcarnitines, ceramides, and diglycerides. In AD, plasma reveals elevated triglycerides, and cortex shows altered amino acid metabolism. A cross-validated diagnostic prediction model from plasma achieves AUC = 82% (CI95 = 75-88%); for females specifically, AUC = 88% (CI95 = 80-95%). A reduced model using 20 features achieves AUC = 79% (CI95 = 71-85%); for females AUC = 84% (CI95 = 74-92%).

conclusionOur findings support the involvement of gut environment in AD and encourage targeting multiple metabolic areas in the design of intervention strategies, including microbiome composition, hormonal balance, nutrients, and muscle homeostasis.

Indexed as

Alzheimer DiseaseBrainCase-Control StudiesFemaleHumansMetabolomeTandem Mass SpectrometryAlzheimer’s diseaseantioxidantsbacterial toxinsbiomarkershuman microbiomehyperlipidemialipidomicsmetabolic pathwaysmetabolomicspolyamines

Identifiers

PMID35253754
PMCPMC9108583
OpenAlexW4214610448

What OpenQuestion holds

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LicenceCC BY-NC
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.