Evidence map›Paper›PMID 38982064›Full record

ArticleNPJ Parkinson's disease2024

Metabolic profiling reveals circulating biomarkers associated with incident and prevalent Parkinson's disease.

Wenyi Hu, Wei Wang, Huan Liao, Gabriella Bulloch, Xiayin Zhang, Xianwen Shang, Yu Huang, Yijun Hu, Honghua Yu, Xiaohong Yang and 2 more

Abstract read
In one paragraph

Article in NPJ Parkinson's disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. The Emerging Parkinson's Disease Oxylipin-Ome.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Parkinson disease is a fatty acidopathy.Nature reviews. Neurology · 2025
    Review
  11. Review
  12. Review
  13. Identification of DownregulatedInternational journal of molecular sciences · 2025
    Article
  14. 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

12 authors.

Wenyi HuDepartment of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.ORCID http://orcid.org/0000-0001-7366-3874
Wei WangState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.ORCID http://orcid.org/0000-0002-5273-3332
Huan LiaoNeural Regeneration Group, Institute of Reconstructive Neurobiology, University of Bonn, Bonn, Germany.
Gabriella BullochCentre for Eye Research Australia; Ophthalmology, University of Melbourne, Melbourne, VIC, Australia.
Xiayin ZhangDepartment of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Xianwen ShangDepartment of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Yu HuangDepartment of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.ORCID http://orcid.org/0000-0001-5355-0047
Yijun HuDepartment of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Honghua YuDepartment of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Xiaohong YangDepartment of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China. syyangxh@scut.edu.cn.
Mingguang HeDepartment of Surgery (Ophthalmology), The University of Melbourne, Melbourne, VIC, Australia. mingguang.he@polyu.edu.hk.
Zhuoting ZhuDepartment of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China. lisa.zhu@unimelb.edu.au.ORCID http://orcid.org/0000-0002-9897-1192

Funding

Department of Health | National Health and Medical Research Council (NHMRC) APP2010072National Natural Science Foundation of China (National Science Foundation of China) 81870663, 82171075National Natural Science Foundation of China (National Science Foundation of China) 82000901National Natural Science Foundation of China (National Science Foundation of China) 82101173
6 · The paper itself

Abstract

The metabolic profile predating the onset of Parkinson's disease (PD) remains unclear. We aim to investigate the metabolites associated with incident and prevalent PD and their predictive values in the UK Biobank participants with metabolomics and genetic data at the baseline. A panel of 249 metabolites was quantified using a nuclear magnetic resonance analytical platform. PD was ascertained by self-reported history, hospital admission records and death registers. Cox proportional hazard models and logistic regression models were used to investigate the associations between metabolites and incident and prevalent PD, respectively. Area under receiver operating characteristics curves (AUC) were used to estimate the predictive values of models for future PD. Among 109,790 participants without PD at the baseline, 639 (0.58%) individuals developed PD after one year from the baseline during a median follow-up period of 12.2 years. Sixty-eight metabolites were associated with incident PD at nominal significance (P < 0.05), spanning lipids, lipid constituent of lipoprotein subclasses and ratios of lipid constituents. After multiple testing corrections (P < 9

Identifiers

PMID38982064
PMCPMC11233508

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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.