Evidence map›Paper›PMID 26078917›Full record

ArticleCurrent Metabolomics

NMR Metabolomics Analysis of Parkinson's Disease.

Shulei Lei, Robert Powers

Abstract read
In one paragraph

Article in Current Metabolomics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

17 citing papers in PubMed, 34 citations in OpenAlex.

  1. Review
  2. Dopaminergic neuron metabolism: relevance for understanding Parkinson's disease.Metabolomics : Official journal of the Metabolomic Society · 2024
    Review
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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

2 authors at 1 institution in 1 country.

Shulei LeiUniversity of Nebraska-Lincoln, Department of Chemistry, 722 Hamilton Hall, Lincoln, NE 68588-0304.
Robert PowersUniversity of Nebraska-Lincoln, Department of Chemistry, 722 Hamilton Hall, Lincoln, NE 68588-0304.
University of Nebraska–Lincoln · US

Funding

THE REDOX-MEDIATED REGULATION OF IRON-RESPONSIVE GENE EXPRESSION IN LIVERP20RR017675 · NCRR · UNIVERSITY OF NEBRASKA LINCOLN · PI BECKER, DONALD F · 2002 to 2011
$20.4M
Redox Biology CenterP30GM103335 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI BECKER, DONALD F · 2012 to 2016
$4.3M
EXTRAMURAL RESEARCH FACILITIES CONSTRUCTIONC06RR015468 · NCRR · UNIVERSITY OF NEBRASKA LINCOLN · PI PAUL, PREM S · 2000 to 2000
$2.0M
NCRR NIH HHS C06 RR015468NCRR NIH HHS P20 RR017675NIGMS NIH HHS P30 GM103335
6 · The paper itself

Abstract

Parkinson's disease (PD) is a neurodegenerative disease, which is characterized by progressive death of dopaminergic neurons in the substantia nigra pars compacta. Although mitochondrial dysfunction and oxidative stress are linked to PD pathogenesis, its etiology and pathology remain to be elucidated. Metabolomics investigates metabolite changes in biofluids, cell lysates, tissues and tumors in order to correlate these metabolomic changes to a disease state. Thus, the application of metabolomics to investigate PD provides a systematic approach to understand the pathology of PD, to identify disease biomarkers, and to complement genomics, transcriptomics and proteomics studies. This review will examine current research into PD mechanisms with a focus on mitochondrial dysfunction and oxidative stress. Neurotoxin-based PD animal models and the rationale for metabolomics studies in PD will also be discussed. The review will also explore the potential of NMR metabolomics to address important issues related to PD treatment and diagnosis.

Indexed as

BiomarkersMetabolomicsNMROPLSParkinson's diseasePCAPLS

Identifiers

PMID26078917
PMCPMC4465192
OpenAlexW2104702563

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.