Evidence map›Paper›PMID 35136088›Full record

ArticleNPJ Parkinson's disease2022

Metabolite and lipoprotein profiles reveal sex-related oxidative stress imbalance in de novo drug-naive Parkinson's disease patients.

Gaia Meoni, Leonardo Tenori, Sebastian Schade, Cristina Licari, Chiara Pirazzini, Maria Giulia Bacalini, Paolo Garagnani, Paola Turano, PROPAG-AGEING Consortium, Claudia Trenkwalder and 3 more

Open access · goldAbstract read
In one paragraph

Article in NPJ Parkinson's disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

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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

13 authors at 18 institutions in 6 countries.

Gaia MeoniMagnetic Resonance Center (CERM) and Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Florence, Italy.ORCID http://orcid.org/0000-0002-8608-4641
Leonardo TenoriMagnetic Resonance Center (CERM) and Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Florence, Italy.ORCID http://orcid.org/0000-0001-6438-059X
Sebastian SchadeDepartment of Clinical Neurophysiology, University Medical Center Goettingen, Goettingen, Germany.ORCID http://orcid.org/0000-0002-6316-6804
Cristina LicariMagnetic Resonance Center (CERM) and Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Florence, Italy.
Chiara PirazziniIRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.
Maria Giulia BacaliniIRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.
Paolo GaragnaniDepartment of Experimental, Diagnostic, and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy.
Paola TuranoMagnetic Resonance Center (CERM) and Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Florence, Italy.ORCID http://orcid.org/0000-0002-7683-8614
PROPAG-AGEING Consortium
Claudia TrenkwalderUniversity Medical Center Goettingen, Department of Neurology and Paracelsus-Elena-Klinik, Kassel, Germany.
Claudio FranceschiDepartment of Experimental, Diagnostic, and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy. claudio.franceschi@unibo.it.ORCID http://orcid.org/0000-0001-9841-6386
Brit MollenhauerUniversity Medical Center Goettingen, Department of Neurology and Paracelsus-Elena-Klinik, Kassel, Germany. brit.mollenhauer@med.uni-goettingen.de.
Claudio LuchinatMagnetic Resonance Center (CERM) and Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Florence, Italy. luchinat@cerm.unifi.it.ORCID http://orcid.org/0000-0003-2271-8921
Istituto delle Scienze Neurologiche di Bologna · ITBiomedical Research Networking Center on Neurodegenerative Diseases · ESInteruniversity Consortium for Magnetic Resonance · ITLondon Library · GBUniversity of Bologna · ITKarolinska Institutet · SEUniversity of Cambridge · GBUniversity College London · GBParacelsus Elena Klinik Kassel · DEUniversity of Verona · ITAzienda Sanitaria Unità Locale di Reggio Emilia · ITAzienda USL di Bologna · ITConsorzio Roma Ricerche · ITN. I. Lobachevsky State University of Nizhny Novgorod · RUPhilipps University of Marburg · DEUniversity of Göttingen · DEUniversity of L'Aquila · ITUniversity of Oxford · GB

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Societal Challenges | H2020 Health (H2020 Societal Challenges - Health, Demographic Change and Well-being) 634821EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 634821
6 · The paper itself

Abstract

Parkinson's disease (PD) is the neurological disorder showing the greatest rise in prevalence from 1990 to 2016. Despite clinical definition criteria and a tremendous effort to develop objective biomarkers, precise diagnosis of PD is still unavailable at early stage. In recent years, an increasing number of studies have used omic methods to unveil the molecular basis of PD, providing a detailed characterization of potentially pathological alterations in various biological specimens. Metabolomics could provide useful insights to deepen our knowledge of PD aetiopathogenesis, to identify signatures that distinguish groups of patients and uncover responsive biomarkers of PD that may be significant in early detection and in tracking the disease progression and drug treatment efficacy. The present work is the first large metabolomic study based on nuclear magnetic resonance (NMR) with an independent validation cohort aiming at the serum characterization of de novo drug-naive PD patients. Here, NMR is applied to sera from large training and independent validation cohorts of German subjects. Multivariate and univariate approaches are used to infer metabolic differences that characterize the metabolite and the lipoprotein profiles of newly diagnosed de novo drug-naive PD patients also in relation to the biological sex of the subjects in the study, evidencing a more pronounced fingerprint of the pathology in male patients. The presence of a validation cohort allowed us to confirm altered levels of acetone and cholesterol in male PD patients. By comparing the metabolites and lipoproteins levels among de novo drug-naive PD patients, age- and sex-matched healthy controls, and a group of advanced PD patients, we detected several descriptors of stronger oxidative stress.

Identifiers

PMID35136088
PMCPMC8826921
OpenAlexW4211152898

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.