Evidence map›Paper›PMID 34453619›Full record

ReviewMetabolomics : Official journal of the Metabolomic Society2021

Challenges in LC-MS-based metabolomics for Alzheimer's disease early detection: targeted approaches versus untargeted approaches.

Pierluigi Reveglia, Carmela Paolillo, Gabriella Ferretti, Armando De Carlo, Antonella Angiolillo, Rosarita Nasso, Mafalda Caputo, Carmela Matrone, Alfonso Di Costanzo, Gaetano Corso

Open access · hybridAbstract readReview
In one paragraph

Review in Metabolomics : Official journal of the Metabolomic Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed, 37 citations in OpenAlex.

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  13. Multiplatform untargeted metabolomics.Magnetic resonance in chemistry : MRC · 2023
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  19. Small molecule biomarker discovery: Proposed workflow for LC-MS-based clinical research projects.Journal of mass spectrometry and advances in the clinical lab · 2023
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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

10 authors at 3 institutions in 1 country.

Pierluigi RevegliaDepartment of Clinical and Experimental Medicine, University of Foggia, 71122, Foggia, Italy.ORCID 0000-0003-0588-2092
Carmela PaolilloDepartment of Clinical and Experimental Medicine, University of Foggia, 71122, Foggia, Italy.ORCID 0000-0003-2677-5747
Gabriella FerrettiDepartment of Neuroscience, School of Medicine, University of Naples Federico II, 80131, Napoli, Italy.
Armando De CarloDepartment of Clinical and Experimental Medicine, University of Foggia, 71122, Foggia, Italy.
Antonella AngiolilloDepartment of Medicine and Health Sciences, Center for Research and Training in Aging Medicine, University of Molise, 86100, Campobasso, Italy.
Rosarita NassoDepartment of Neuroscience, School of Medicine, University of Naples Federico II, 80131, Napoli, Italy.
Mafalda CaputoDepartment of Molecular Medicine and Medical Biotechnology, School of Medicine, University of Naples Federico II, 80131, Napoli, Italy.
Carmela MatroneDepartment of Neuroscience, School of Medicine, University of Naples Federico II, 80131, Napoli, Italy.
Alfonso Di CostanzoDepartment of Medicine and Health Sciences, Center for Research and Training in Aging Medicine, University of Molise, 86100, Campobasso, Italy.
Gaetano CorsoDepartment of Clinical and Experimental Medicine, University of Foggia, 71122, Foggia, Italy. gaetano.corso@unifg.it.ORCID 0000-0003-4720-1320
University of Foggia · ITUniversity of Naples Federico II · ITUniversity of Molise · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlzheimer's disease (AD) is one of the most common causes of dementia in old people. Neuronal deficits such as loss of memory, language and problem-solving are severely compromised in affected patients. The molecular features of AD are Aβ deposits in plaques or in oligomeric structures and neurofibrillary tau tangles in brain. However, the challenge is that Aβ is only one piece of the puzzle, and recent findings continue to support the hypothesis that their presence is not sufficient to predict decline along the AD outcome. In this regard, metabolomic-based techniques are acquiring a growing interest for either the early diagnosis of diseases or the therapy monitoring. Mass spectrometry is one the most common analytical platforms used for detection, quantification, and characterization of metabolic biomarkers. In the past years, both targeted and untargeted strategies have been applied to identify possible interesting compounds. AIM OF REVIEW: The overall goal of this review is to guide the reader through the most recent studies in which LC-MS-based metabolomics has been proposed as a powerful tool for the identification of new diagnostic biomarkers in AD. To this aim, herein studies spanning the period 2009-2020 have been reported. Advantages and disadvantages of targeted vs untargeted metabolomic approaches have been outlined and critically discussed.

Indexed as

Alzheimer DiseaseBiomarkersChromatography, LiquidEarly DiagnosisHumansMetabolomicsTandem Mass SpectrometryBiomarkersAlzheimer’s diseaseBiomarkersTargeted metabolomicsUntargeted metabolomics

Identifiers

PMID34453619
PMCPMC8403122
OpenAlexW3194001167

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.