Evidence map›Paper›PMID 30233306›Full record

ArticleFrontiers in molecular neuroscience2018

Integrated Analysis Reveals Altered Lipid and Glucose Metabolism and Identifies NOTCH2 as a Biomarker for Parkinson's Disease Related Depression.

Mei-Xue Dong, Xia Feng, Xiao-Min Xu, Ling Hu, Yang Liu, Si-Yu Jia, Bo Li, Wei Chen, You-Dong Wei

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.

  1. Pooled it
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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

9 authors at 5 institutions in 1 country.

Mei-Xue DongDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xia FengDepartment of Neurology, The People's Hospital of Tongliang District, Chongqing, China.
Xiao-Min XuDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Ling HuDepartment of Neurology, The Fifth People's Hospital of Chongqing, Chongqing, China.
Yang LiuDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Si-Yu JiaDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Bo LiDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Wei ChenShanghai Applied Protein Technology Co. Ltd., Shanghai, China.
You-Dong WeiDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Chongqing Medical University · CNFirst Affiliated Hospital of Chongqing Medical University · CNFirst People's Hospital of Chongqing · CNRenmin Hospital of Wuhan University · CNThe People's Hospital Tongling · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depression is a common comorbidity in Parkinson's disease (PD) but is underdiagnosed. We aim to investigate the altered metabolic pathways of Parkinson's disease-related depression (PDD) in plasma and to identify potential biomarkers for clinical diagnosis. Consecutive patients with PD were recruited, clinically assessed, and patients with PDD identified. Fasting plasma samples were collected from 99 patients and differentially expressed metabolites and proteins between patients with PDD and PD were identified using non-targeted liquid chromatography-mass spectrometry (LC-MS)-based metabolomics and tandem mass tag (TMT)-based proteomics analysis, followed by an integrated analysis. Based on the above results, enzyme-linked immune sorbent assay (ELISA) tests were then performed to identify potential biomarkers for PDD. In clinics, patients with PDD suffered less hypertension and had lower serum low-density lipoprotein cholesterol and apolipoprotein B levels when compared to the other patients with PD. A total of 85 differentially expressed metabolites were identified in metabolomics analysis. These metabolites were mainly lipids and lipid-like molecules, involved in lipid and glucose metabolic pathways. According to proteomics analysis, 17 differentially expressed proteins were identified, and 12 metabolic pathways were enriched, which were predominantly related to glucose metabolism. Integrated analysis indicated that altered lipid and glucose metabolism in PDD may induce cellular injury through oxidative stress. Additionally, plasma levels of several proteins were confirmed to be significantly altered and correlated with depressive severity. NOTCH2 may be a potential blood biomarker for PDD, with an optimal cut-off point of 0.91 ng/ml, a sensitivity value of 95.65%, and a specificity value of 81.58%. Depressive symptoms are associated with lipid and glucose metabolism in patients with PD and NOTCH2 may be a potential blood biomarker for the clinical diagnosis of PDD.

Indexed as

biomarkerdepressionintegrated analysismetabolomicsParkinson's diseaseproteomics

Identifiers

PMID30233306
PMCPMC6127515
OpenAlexW2850934947

What OpenQuestion holds

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LicenceCC BY
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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.