Evidence map›Paper›PMID 37343679›Full record

ReviewAgeing research reviews2023

Integrative metabolomics science in Alzheimer's disease: Relevance and future perspectives.

Simone Lista, Raúl González-Domínguez, Susana López-Ortiz, Álvaro González-Domínguez, Héctor Menéndez, Juan Martín-Hernández, Alejandro Lucia, Enzo Emanuele, Diego Centonze, Bruno P Imbimbo and 9 more

Open access · greenAbstract readReview
In one paragraph

Review in Ageing research reviews, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
8.9field-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

49 citing papers in PubMed, 58 citations in OpenAlex.

  1. Article
  2. Longitudinal untargeted metabolomics of cognitive impairment in Parkinson's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 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

19 authors at 11 institutions in 4 countries.

Simone Listai+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), Valladolid, Spain. Electronic address: slista@uemc.es.
Raúl González-DomínguezInstituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Hospital Universitario Puerta del Mar, Universidad de Cádiz, Cádiz, Spain.
Susana López-Ortizi+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), Valladolid, Spain.
Álvaro González-DomínguezInstituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Hospital Universitario Puerta del Mar, Universidad de Cádiz, Cádiz, Spain.
Héctor Menéndezi+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), Valladolid, Spain.
Juan Martín-Hernándezi+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), Valladolid, Spain.
Alejandro LuciaResearch Institute of the Hospital 12 de Octubre ('imas12'), Madrid, Spain; Faculty of Sport Sciences, European University of Madrid, Villaviciosa de Odón, Madrid, Spain; CIBER of Frailty and Healthy Ageing (CIBERFES), Madrid, Spain.
Enzo Emanuele2E Science, Robbio, Pavia, Italy.
Diego CentonzeDepartment of Systems Medicine, Tor Vergata University, Rome, Italy; Unit of Neurology, IRCCS Neuromed, Pozzilli, IS, Italy.
Bruno P ImbimboDepartment of Research and Development, Chiesi Farmaceutici, Parma, Italy.
Viviana TriacaInstitute of Biochemistry and Cell Biology (IBBC), National Research Council (CNR), Rome, Italy.
Luana LionettoClinical Biochemistry, Mass Spectrometry Section, Sant'Andrea University Hospital, Rome, Italy; Department of Neuroscience, Mental Health and Sensory Organs, Faculty of Medicine and Psychology, Sapienza University of Rome, Rome, Italy.
Maurizio SimmacoClinical Biochemistry, Mass Spectrometry Section, Sant'Andrea University Hospital, Rome, Italy; Department of Neuroscience, Mental Health and Sensory Organs, Faculty of Medicine and Psychology, Sapienza University of Rome, Rome, Italy.
Miroslava Cuperlovic-CulfDigital Technologies Research Center, National Research Council, Ottawa, Canada; Department of Biochemistry, Microbiology, and Immunology, University of Ottawa, Ottawa, ON, Canada.
Jericha MillDepartment of Chemistry, University of Wisconsin-Madison, Madison, WI, USA.
Lingjun LiDepartment of Chemistry, University of Wisconsin-Madison, Madison, WI, USA; School of Pharmacy, University of Wisconsin-Madison, Madison, WI, USA.
Mark MapstoneDepartment of Neurology, Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA, USA.
Alejandro Santos-Lozanoi+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), Valladolid, Spain; Research Institute of the Hospital 12 de Octubre ('imas12'), Madrid, Spain.
Robert NisticòSchool of Pharmacy, University of Rome "Tor Vergata", Rome, Italy; Laboratory of Pharmacology of Synaptic Plasticity, EBRI Rita Levi-Montalcini Foundation, Rome, Italy.
Universidad Europea Miguel de Cervantes · ESAzienda Ospedaliera Sant'Andrea · ITUniversidad de Cádiz · ESUniversity of Rome Tor Vergata · ITUniversity of Wisconsin–Madison · USChiesi (Italy) · ITNational Research Council · ITPavia nel Cuore · ITResearch Institute Hospital 12 de Octubre · ESUniversity of California, Irvine · USUniversity of Ottawa · CA

Funding

Biology of Aging and Age-Related Diseases Training GrantT32AG000213 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Rozalyn M. Anderson, Sanjay Asthana · 1991 to 2026
$9.9M
Creating a region- specific biomolecular atlas of the brain of Alzheimer’s diseaseR01AG078794 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LINGJUN LI, Luigi Puglielli · 2022 to 2026
$3.7M
Di-Leu-enabled multiplexed quantitation for biomarker discovery and validation in Alzheimer's diseaseRF1AG052324 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2018 to 2018
$2.4M
NIA NIH HHS R01 AG078794NIA NIH HHS RF1 AG052324NIA NIH HHS T32 AG000213
6 · The paper itself

Abstract

Alzheimer's disease (AD) is determined by various pathophysiological mechanisms starting 10-25 years before the onset of clinical symptoms. As multiple functionally interconnected molecular/cellular pathways appear disrupted in AD, the exploitation of high-throughput unbiased omics sciences is critical to elucidating the precise pathogenesis of AD. Among different omics, metabolomics is a fast-growing discipline allowing for the simultaneous detection and quantification of hundreds/thousands of perturbed metabolites in tissues or biofluids, reproducing the fluctuations of multiple networks affected by a disease. Here, we seek to critically depict the main metabolomics methodologies with the aim of identifying new potential AD biomarkers and further elucidating AD pathophysiological mechanisms. From a systems biology perspective, as metabolic alterations can occur before the development of clinical signs, metabolomics - coupled with existing accessible biomarkers used for AD screening and diagnosis - can support early disease diagnosis and help develop individualized treatment plans. Presently, the majority of metabolomic analyses emphasized that lipid metabolism is the most consistently altered pathway in AD pathogenesis. The possibility that metabolomics may reveal crucial steps in AD pathogenesis is undermined by the difficulty in discriminating between the causal or epiphenomenal or compensatory nature of metabolic findings.

Indexed as

Alzheimer DiseaseBiomarkersHumansMetabolomeMetabolomicsBiomarkersAlzheimer’s diseaseAmino acidsBiomarkersLipidsMetabolomicsSystems biology

Identifiers

PMID37343679
PMCPMC12450062
OpenAlexW4381186164

What OpenQuestion holds

Textmetadata
LicenceTDM
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.