Evidence map›Paper›PMID 34622190›Full record

ArticleMetabolism open2021

Characterising Alzheimer's disease through integrative NMR- and LC-MS-based metabolomics.

Jonas Ellegaard Nielsen, Raluca Georgiana Maltesen, Jesper F Havelund, Nils J Færgeman, Charlotte Held Gotfredsen, Karsten Vestergård, Søren Risom Kristensen, Shona Pedersen

Open access · goldAbstract read
In one paragraph

Article in Metabolism open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

24 citing papers in PubMed, 45 citations in OpenAlex.

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  12. Oral Microbiome Stamp in Alzheimer's Disease.Pathogens (Basel, Switzerland) · 2024
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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

8 authors at 4 institutions in 3 countries.

Jonas Ellegaard NielsenDepartment of Clinical Medicine, Aalborg University, Aalborg, Denmark.
Raluca Georgiana MaltesenTranslational Radiation Biology and Oncology Laboratory, Centre for Cancer Research, Westmead Institute of Medical Research, Westmead, Australia.
Jesper F HavelundDepartment of Biochemistry and Molecular Biology, Villum Center for Bioanalytical Sciences, University of Southern Denmark, Odense, Denmark.
Nils J FærgemanDepartment of Biochemistry and Molecular Biology, Villum Center for Bioanalytical Sciences, University of Southern Denmark, Odense, Denmark.
Charlotte Held GotfredsenDepartment of Chemistry, Technical University of Denmark, Kgs. Lyngby, Denmark.
Karsten VestergårdDepartment of Neurology, Aalborg University Hospital, Aalborg, Denmark.
Søren Risom KristensenDepartment of Clinical Medicine, Aalborg University, Aalborg, Denmark.
Shona PedersenDepartment of Basic Medical Sciences, College of Medicine, Qatar University, Qatar Health, Doha, Qatar.
Aalborg University Hospital · DKUniversity of Southern Denmark · DKQatar University · QATechnical University of Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlzheimer's Disease (AD) is a complex and multifactorial disease and novel approaches are needed to illuminate the underlying pathology. Metabolites comprise the end-product of genes, transcripts, and protein regulations and might reflect disease pathogenesis. Blood is a common biofluid used in metabolomics; however, since extracellular vesicles (EVs) hold cell-specific biological material and can cross the blood-brain barrier, their utilization as biological material warrants further investigation. We aimed to investigate blood- and EV-derived metabolites to add insigts to the pathological mechanisms of AD.

methodsBlood samples were collected from 10 AD and 10 Mild Cognitive Impairment (MCI) patients, and 10 healthy controls. EVs were enriched from plasma using 100,000×

resultsWhile no significant EV-derived metabolites were found differentiating patients from healthy individuals, six serum metabolites were found important; valine (

conclusionUsing a combination of LC-MS and NMR methodologies we identified several altered mechanisms possibly related to AD pathology. EVs require additional optimization prior to their possible utilization as a biological material for AD-related metabolomics studies.

Indexed as

ACE, Addenbrooke's cognitive examinationAD, Alzheimer's DiseaseAlzheimerAUC, Area under the curveAβ, Amyloid-βBBB, Blood-brain barrierBCAA, Branched-chain amino acidBloodCNS, Central nervous systemCSF, Cerebrospinal fluidCV, Cross-validationEVs, Extracellular vesiclesExtracellular vesiclesFAQ, Functional activities questionnaireFDR, False discovery rateMass spectrometryMCI, Mild cognitive impairmentMetabolitesMMSE, Mini-mental state examinationNuclear magnetic resonancePCA, Principal component analysisp-tau, Phospho-tauROC, Receiver operating characteristicssPLS-DA, Sparse partial least squared discriminant analysist-tau, Total-tau

Identifiers

PMID34622190
PMCPMC8479251
OpenAlexW3201958306

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.