Evidence map›Paper›PMID 41320476›Full record

ArticleJournal of neurology, neurosurgery, and psychiatry2026

Metabolic profiles associated with fat loss in Parkinson's disease.

Atsuhiro Higashi, Yasuaki Mizutani, Reiko Ohdake, Yasuhiro Maeda, Junichiro Yoshimoto, Sayuri Shima, Yusuke Seino, Akihiro Ueda, Mizuki Ito, Atsushi Suzuki and 1 more

Abstract read
In one paragraph

Article in Journal of neurology, neurosurgery, and psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. A qPCR-based approach targeting the microbial gene markerJournal of Parkinson's disease · 2026
    Article
  2. Brain-muscle axis regulation of neuroinflammation and sarcopenia in Parkinson's disease: the bridging role of lactylation.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Review
  3. Article
  4. 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

11 authors.

Atsuhiro HigashiDepartment of Neurology, Fujita Health University School of Medicine, Toyoake, Japan.ORCID http://orcid.org/0009-0008-7408-9710
Yasuaki MizutaniDepartment of Neurology, Fujita Health University School of Medicine, Toyoake, Japan.ORCID http://orcid.org/0000-0002-5709-8526
Reiko OhdakeDepartment of Neurology, Fujita Health University School of Medicine, Toyoake, Japan.
Yasuhiro MaedaOpen Facility Center, Fujita Health University, Toyoake, Japan.
Junichiro YoshimotoDepartment of Biomedical Data Science, Fujita Health University School of Medicine, Toyoake, Japan.
Sayuri ShimaDepartment of Neurology, Fujita Health University School of Medicine, Toyoake, Japan.
Yusuke SeinoDepartment of Endocrinology, Diabetes and Metabolism, Fujita Health University School of Medicine, Toyoake, Japan.
Akihiro UedaDepartment of Neurology, Fujita Health University School of Medicine, Toyoake, Japan.
Mizuki ItoDepartment of Neurology, Fujita Health University School of Medicine, Toyoake, Japan.
Atsushi SuzukiDepartment of Endocrinology, Diabetes and Metabolism, Fujita Health University School of Medicine, Toyoake, Japan.
Hirohisa WatanabeDepartment of Neurology, Fujita Health University School of Medicine, Toyoake, Japan hirohisa.watanabe@fujita-hu.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWeight loss is a substantial non-motor feature of Parkinson's disease (PD) associated with worse clinical outcomes, but the underlying mechanisms remain poorly understood. Thus, we investigated the mechanisms of PD-related weight loss by examining the correlation between body composition and various plasma metabolites.

methodsWe enrolled 91 patients with PD and 47 healthy controls between July 2021 and October 2023. Body composition was evaluated using bioelectrical impedance analysis. Plasma metabolite profiling was conducted via mass spectrometry, including short-chain and medium-chain fatty acids, Krebs cycle intermediates, ketone bodies and phospholipids. Subsequently, alterations in body composition in PD and their association with plasma metabolites were assessed.

resultsPatients with PD had lower body weight (p=0.003), body mass index (BMI; p=0.001) and body fat mass (p<0.001) compared with controls. Metabolomic analyses revealed that, in patients with PD, glycolysis and Krebs cycle markers (lactic acid and succinic acid) were reduced, while ketone bodies (acetoacetic acid and 3-hydroxybutyric acid), amino acid catabolism-related markers (2-hydroxybutyric acid and 2-oxobutyric acid) and acetic acid were elevated. Notably, in patients with PD, acetoacetic acid and 3-hydroxybutyric acid negatively correlated with BMI. Phosphatidylcholine (40:2) was also elevated in PD and showed higher levels in individuals at more advanced Hoehn and Yahr stages.

conclusionsPD-related fat loss was accompanied by a pattern of lower glycolytic activity and higher levels of lipid and amino acid metabolism-related metabolites, consistent with a potential shift in energy utilisation. These findings highlight metabolic pathways as potential targets for interventions to mitigate weight loss in PD.

Indexed as

MetabolomeParkinson DiseaseWeight LossAgedBiomarkersBody CompositionBody Mass IndexCase-Control StudiesFemaleHumansKetone BodiesMaleMetabolomicsMiddle AgedBiomarkersKetone BodiesMOVEMENT DISORDERSPARKINSON'S DISEASE

Identifiers

PMID41320476
PMCPMC13018834

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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.