Evidence map›Paper›PMID 33613180›Full record

ReviewFrontiers in neuroscience2021

Advances of Mechanisms-Related Metabolomics in Parkinson's Disease.

Yanyan Zhang, Jie Li, Xiao Zhang, Dongdong Song, Tian Tian

Abstract readReview
In one paragraph

Review in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Dopaminergic neuron metabolism: relevance for understanding Parkinson's disease.Metabolomics : Official journal of the Metabolomic Society · 2024
    Review
  3. Review
  4. Article
  5. Review
  6. G2019SFrontiers in neuroscience · 2022
    Article
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

5 authors.

Yanyan ZhangDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jie LiDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xiao ZhangDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Dongdong SongDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Tian TianDepartment of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease (PD) is a multifactorial disorder characterized by progressively debilitating dopaminergic neurodegeneration in the substantia nigra and the striatum, along with various metabolic dysfunctions and molecular abnormalities. Metabolomics is an emerging study and has been demonstrated to play important roles in describing complex human diseases by integrating endogenous and exogenous sources of alterations. Recently, an increasing amount of research has shown that metabolomics profiling holds great promise in providing unique insights into molecular pathogenesis and could be helpful in identifying candidate biomarkers for clinical detection and therapies of PD. In this review, we briefly summarize recent findings and analyze the application of molecular metabolomics in familial and sporadic PD from genetic mutations, mitochondrial dysfunction, and dysbacteriosis. We also review metabolic biomarkers to assess the functional stage and improve therapeutic strategies to postpone or hinder the disease progression.

Indexed as

dysbacteriosisgenetic mutationsmetabolomicsmitochondrial dysfunctionParkinson disease

Identifiers

PMID33613180
PMCPMC7887307

What OpenQuestion holds

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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 OpenQuestion graph.