Evidence map›Paper›PMID 36899942›Full record

ArticleCells2023

Changes in Liver Lipidomic Profile in G2019S-

Yaiza Corral Nieto, Sokhna M S Yakhine-Diop, Paula Moreno-Cruz, Laura Manrique García, Amanda Gabrielly Pereira, José A Morales-García, Mireia Niso-Santano, Rosa A González-Polo, Elisabet Uribe-Carretero, Sylvère Durand and 10 more

Open access · goldFull text read
In one paragraph

Article in Cells, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Review
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

20 authors at 6 institutions in 2 countries.

Yaiza Corral NietoDepartamento de Fisiología, Facultad de Medicina, Universidad Complutense de Madrid, 28040 Madrid, Spain.
Sokhna M S Yakhine-DiopDepartamento de Bioquímica y Biología Molecular y Genética, Facultad de Enfermería y Terapia Ocupacional, Universidad de Extremadura, 10003 Cáceres, Spain.
Paula Moreno-CruzDepartamento de Fisiología, Facultad de Medicina, Universidad Complutense de Madrid, 28040 Madrid, Spain.
Laura Manrique GarcíaDepartamento de Fisiología, Facultad de Medicina, Universidad Complutense de Madrid, 28040 Madrid, Spain.
Amanda Gabrielly PereiraDepartamento de Fisiología, Facultad de Medicina, Universidad Complutense de Madrid, 28040 Madrid, Spain.
José A Morales-GarcíaCentro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas-Instituto de Salud Carlos III (CIBER-CIBERNED-ISCIII), 28029 Madrid, Spain.ORCID 0000-0001-9008-0056
Mireia Niso-SantanoDepartamento de Bioquímica y Biología Molecular y Genética, Facultad de Enfermería y Terapia Ocupacional, Universidad de Extremadura, 10003 Cáceres, Spain.
Rosa A González-PoloDepartamento de Bioquímica y Biología Molecular y Genética, Facultad de Enfermería y Terapia Ocupacional, Universidad de Extremadura, 10003 Cáceres, Spain.
Elisabet Uribe-CarreteroDepartamento de Bioquímica y Biología Molecular y Genética, Facultad de Enfermería y Terapia Ocupacional, Universidad de Extremadura, 10003 Cáceres, Spain.ORCID 0000-0001-6477-5268
Sylvère DurandMetabolomics and Cell Biology Platforms, Institut Gustave Roussy, 94805 Villejuif, France.
Maria Chiara MaiuriMetabolomics and Cell Biology Platforms, Institut Gustave Roussy, 94805 Villejuif, France.
Marta Paredes-BarqueroDepartamento de Bioquímica y Biología Molecular y Genética, Facultad de Enfermería y Terapia Ocupacional, Universidad de Extremadura, 10003 Cáceres, Spain.ORCID 0000-0002-5698-8180
Eva Alegre-CortésDepartamento de Bioquímica y Biología Molecular y Genética, Facultad de Enfermería y Terapia Ocupacional, Universidad de Extremadura, 10003 Cáceres, Spain.ORCID 0000-0002-0733-229X
Saray Canales-CortésDepartamento de Bioquímica y Biología Molecular y Genética, Facultad de Enfermería y Terapia Ocupacional, Universidad de Extremadura, 10003 Cáceres, Spain.
Adolfo López de MunainCentro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas-Instituto de Salud Carlos III (CIBER-CIBERNED-ISCIII), 28029 Madrid, Spain.ORCID 0000-0002-9509-4032
Jordi Pérez-TurCentro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas-Instituto de Salud Carlos III (CIBER-CIBERNED-ISCIII), 28029 Madrid, Spain.ORCID 0000-0002-9111-1712
Ana Pérez-CastilloCentro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas-Instituto de Salud Carlos III (CIBER-CIBERNED-ISCIII), 28029 Madrid, Spain.
Guido KroemerMetabolomics and Cell Biology Platforms, Institut Gustave Roussy, 94805 Villejuif, France.ORCID 0000-0002-9334-4405
José M FuentesDepartamento de Bioquímica y Biología Molecular y Genética, Facultad de Enfermería y Terapia Ocupacional, Universidad de Extremadura, 10003 Cáceres, Spain.ORCID 0000-0001-6910-2089
José M Bravo-San PedroDepartamento de Fisiología, Facultad de Medicina, Universidad Complutense de Madrid, 28040 Madrid, Spain.ORCID 0000-0002-5781-1133
Universidad Complutense de Madrid · ESInstituto de Salud Carlos III · ESUniversidad de Extremadura · ESInserm · FRInstitut Gustave Roussy · FRUniversity of the Basque Country · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of Parkinson's disease (PD) biomarkers has become a main goal for the diagnosis of this neurodegenerative disorder. PD has not only been intrinsically related to neurological problems, but also to a series of alterations in peripheral metabolism. The purpose of this study was to identify metabolic changes in the liver in mouse models of PD with the scope of finding new peripheral biomarkers for PD diagnosis. To achieve this goal, we used mass spectrometry technology to determine the complete metabolomic profile of liver and striatal tissue samples from WT mice, 6-hydroxydopamine-treated mice (idiopathic model) and mice affected by the G2019S-

Indexed as

Parkinson DiseaseAnimalsBiomarkersDisease Models, AnimalLeucine-Rich Repeat Serine-Threonine Protein Kinase-2LipidomicsLiverMetabolomicsMiceBiomarkersLeucine-Rich Repeat Serine-Threonine Protein Kinase-2Lrrk2 protein, mouselipidsliverLRRK2metabolomeneurodegenerationParkinson

Identifiers

PMID36899942
PMCPMC10000529
OpenAlexW4323318939

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read57
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.