Evidence map›Paper›PMID 41565969›Full record

ArticleScientific reports2026

Association of a five-metabolite and early-symptom profile with Parkinson's disease and its clinical progression.

Juan José Oropeza Valdez, José Pedro Elizalde-Díaz, Osbaldo Resendis Antonio, Jaquelin Leyva -Hernández, Laura Adalid-Peralta, Mayela Rodríguez-Violante, Rupasri Mandal, David S Wishart, Yamilé López-Hernández, Eduardo Martínez -Martínez

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Juan José Oropeza ValdezCentro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México (UNAM), Mexico City, 04510, Mexico.
José Pedro Elizalde-DíazLaboratory of Cell Communication and Extracellular Vesicles, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, 14610, Mexico.
Osbaldo Resendis AntonioCentro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México (UNAM), Mexico City, 04510, Mexico.
Jaquelin Leyva -HernándezLaboratorio de Reprogramación Celular, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez, Mexico City, 14269, Mexico.
Laura Adalid-PeraltaLaboratorio de Reprogramación Celular, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez, Mexico City, 14269, Mexico.
Mayela Rodríguez-ViolanteInstituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez, Mexico City, 14269, Mexico.
Rupasri MandalThe Metabolomics Innovation Centre, University of Alberta, Edmonton, AB T6G 1C9, Canada.
David S WishartThe Metabolomics Innovation Centre, University of Alberta, Edmonton, AB T6G 1C9, Canada.
Yamilé López-HernándezThe Metabolomics Innovation Centre, University of Alberta, Edmonton, AB T6G 1C9, Canada. yamile@ualberta.ca.
Eduardo Martínez -MartínezLaboratory of Cell Communication and Extracellular Vesicles, Instituto Nacional de Medicina Genómica (INMEGEN), Mexico City, 14610, Mexico. emartinez@inmegen.gob.mx.

Funding

FORDECYT-PRONACES 64382Genome Alberta TMIC MC4INMEGEN internal funds Basal 2025Secretaría de Salud FPIS2024-INMEGEN-6940The Canada Foundation for Innovation (CFI) grant number MSIF 35456The Canadian Institutes of Health Research grant number FS 148461
6 · The paper itself

Abstract

Parkinson's disease (PD) urgently requires blood-based markers that flag pathology before disabling motor decline. This study measured absolute concentrations of 144 plasma metabolites in 20 neurologically healthy adults and in 40 PD patients clinically classified as intermediate (PD-I) or progressive (PD-II). A multinomial logistic regression model was built to examine how changes in metabolite concentrations relate to disease stage and to assess their exploratory discriminative performance in this cohort. Five metabolites: glutamine, butyric acid, indoleacetic acid, phosphatidylcholine aa C40:2, and acylcarnitine C12:1 emerged as the smallest biomarker set that consistently separated controls, PD-I, and PD-II. When three non-motor manifestations often present in the prodromal phase (drooling, REM behavior disorder and depression) were added, the combined profile clearly distinguished controls from early-stage patients and improved classification of intermediate versus progressive disease. The selected metabolites play roles in gut-derived signaling, mitochondrial β-oxidation, and membrane lipid homeostasis, while the clinical variables mirror the recognized early spread of α-synuclein pathology, together offering a coherent snapshot of systemic changes across PD progression. Because the panel can be quantified from a single small plasma aliquot and a brief clinical interview, it represents a promising exploratory finding that requires validation in larger, independent cohorts before any consideration for clinical application or pre-symptomatic screening.

Indexed as

MetabolomeParkinson DiseaseAgedBiomarkersDisease ProgressionFemaleHumansMaleMetabolomicsMiddle AgedBiomarkersBiomarkerMetabolomicsParkinson

Identifiers

PMID41565969
PMCPMC12894904

What Socratic holds

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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 Socratic graph.