Evidence map›Paper›PMID 38565541›Full record

ArticleScientific reports2024

Multiomics analysis to explore blood metabolite biomarkers in an Alzheimer's Disease Neuroimaging Initiative cohort.

Takaki Oka, Yuki Matsuzawa, Momoka Tsuneyoshi, Yoshitaka Nakamura, Ken Aoshima, Hiroshi Tsugawa, Alzheimer’s Disease Metabolomics Consortium

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.6field-weighted citation impact, top 3% 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

19 citing papers in PubMed, 24 citations in OpenAlex.

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  7. Parsing Neurometabolic Signatures of Multiple Sclerosis with MRSI and cPCA.medRxiv : the preprint server for health sciences · 2026
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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

7 authors at 20 institutions in 4 countries.

Takaki OkaDepartment of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, Tokyo, Japan.
Yuki MatsuzawaDepartment of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, Tokyo, Japan.
Momoka TsuneyoshiHuman Biology Integration Foundation, Eisai Co., Ltd., Ibaraki, Japan.
Yoshitaka NakamuraHuman Biology Integration Foundation, Eisai Co., Ltd., Ibaraki, Japan.
Ken AoshimaMicrobes & Host Defense Domain, Eisai Co., Ltd., Ibaraki, Japan.
Hiroshi TsugawaDepartment of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, Tokyo, Japan. htsugawa@go.tuat.ac.jp.
Alzheimer’s Disease Metabolomics Consortium
Mayo Clinic in Florida · USWashington University in St. Louis · USIndiana University Bloomington · USSt Joseph's Health Care · CANew York University · USUC San Diego Health System · USUniversity of Pennsylvania · USAlzheimer's Association · USBrigham and Women's Hospital · USThe University of Texas Southwestern Medical Center · USUniversity of California, Davis · USUniversity of California, Irvine · USUniversity of Kentucky · USProvidence College · USUniversity of Alabama at Birmingham · USUniversity of California, Los Angeles · USUniversity of Rochester Medical Center · USBaylor College of Medicine · USNorthwestern University · USOregon Health & Science University · US

Funding

Oregon Clinical and Translational Research Institute - The National COVID Cohort Collaborative (N3C)UL1TR002369 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI Cynthia D Morris, Christopher G. Slatore · 2017 to 2026
$78.4M
Research Education ComponentP30AG066518 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI KEVIN M DUFF, Lisa C Silbert · 2020 to 2026
$28.6M
UC Davis Alzheimer's Disease Research CenterP30AG072972 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LEE-WAY JIN · 2021 to 2026
$25.2M
NCATS NIH HHS UL1 TR002369NIA NIH HHS P30 AG066518NIA NIH HHS P30 AG072972
6 · The paper itself

Abstract

Alzheimer's disease (AD) is a neurodegenerative disease that commonly causes dementia. Identifying biomarkers for the early detection of AD is an emerging need, as brain dysfunction begins two decades before the onset of clinical symptoms. To this end, we reanalyzed untargeted metabolomic mass spectrometry data from 905 patients enrolled in the AD Neuroimaging Initiative (ADNI) cohort using MS-DIAL, with 1,304,633 spectra of 39,108 unique biomolecules. Metabolic profiles of 93 hydrophilic metabolites were determined. Additionally, we integrated targeted lipidomic data (4873 samples from 1524 patients) to explore candidate biomarkers for predicting progressive mild cognitive impairment (pMCI) in patients diagnosed with AD within two years using the baseline metabolome. Patients with lower ergothioneine levels had a 12% higher rate of AD progression with the significance of P = 0.012 (Wald test). Furthermore, an increase in ganglioside (GM3) and decrease in plasmalogen lipids, many of which are associated with apolipoprotein E polymorphism, were confirmed in AD patients, and the higher levels of lysophosphatidylcholine (18:1) and GM3 d18:1/20:0 showed 19% and 17% higher rates of AD progression, respectively (Wald test: P = 3.9 × 10

Indexed as

Alzheimer DiseaseCognitive DysfunctionNeurodegenerative DiseasesBiomarkersDisease ProgressionHumansLipidsMultiomicsNeuroimagingBiomarkersLipids

Identifiers

PMID38565541
PMCPMC10987653
OpenAlexW4393397017

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.