Evidence map›Paper›PMID 37626522›Full record

ArticleBrain sciences2023

Lipid Metabolism Disorder in Cerebrospinal Fluid Related to Parkinson's Disease.

Jiewen Qiu, Lijian Wei, Yilin Su, Yuting Tang, Guoyou Peng, Yimin Wu, Yan He, Hanqun Liu, Wenyuan Guo, Zhuohu Wu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Brain sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

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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

12 authors at 1 institution in 2 countries.

Jiewen QiuDepartment of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.
Lijian WeiDepartment of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.
Yilin SuDepartment of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.
Yuting TangDepartment of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.
Guoyou PengDepartment of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.
Yimin WuDepartment of General Medicine, Fengxian Community Health Service Center, Shanghai 210499, China.
Yan HeDepartment of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.
Hanqun LiuDepartment of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.
Wenyuan GuoDepartment of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.
Zhuohu WuDepartment of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.
Pingyi XuDepartment of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.
Mingshu MoDepartment of Neurology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China.ORCID 0000-0002-4362-8194
First Affiliated Hospital of Guangzhou Medical University · CN

Funding

General Project of Basic and Applied Basic Research of Guangzhou Bureau of Science and Tech-nology 202201020418General Project of Natural Science Foundation of Guangdong Province 2021A1515011043Guangzhou key medical discipline grant 2021-2023National Natural Science Foundation of China 81701254,81870856,81870992Yang-cheng Scholar Project of Guangzhou Municipal Bureau of Education 202032790
6 · The paper itself

Abstract

backgroundAbnormal accumulation of lipids is found in dopamine neurons and resident microglia in the substantia nigra of patients with Parkinson's disease (PD). The accumulation of lipids is an important risk factor for PD. Previous studies have mainly focussed on lipid metabolism in peripheral blood, but little attention has been given to cerebrospinal fluid (CSF). We drew the lipidomic signature in CSF from PD patients and evaluated the role of lipids in CSF as biomarkers for PD diagnosis.

methodsBased on lipidomic approaches, we investigated and compared lipid metabolism in CSF from PD patients and healthy controls without dyslipidaemia in peripheral blood and explored the relationship of lipids between CSF and serum by Pearson correlation analysis.

resultsA total of 231 lipid species were detected and classified into 13 families in the CSF. The lipid families, including phosphatidylcholine (PC), sphingomyelin (SM) and cholesterol ester (CE), had significantly increased expression compared with the control. Hierarchical clustering was performed to distinguish PD patients based on the significantly changed expression of 34 lipid species. Unsupervised and supervised methods were used to refine this classification. A total of 12 lipid species, including 3-hydroxy-dodecanoyl-carnitine, Cer(d18:1/24:1), CE(20:4), CE(22:6), PC(14:0/18:2), PC(O-18:3/20:2), PC(O-20:2/24:3), SM(d18:0/16:0), SM(d18:2/14:0), SM(d18:2/24:1), SM(d18:1/20:1) and SM(d18:1/12:0), were selected to draw the lipidomic signature of PD. Correlation analysis was performed and showed that the CE family and CE (22:6) in CSF had a positive association with total cholesterol in the peripheral blood from PD patients but not from healthy controls.

conclusionsOur results revealed that the lipidomic signature in CSF may be considered a potential biomarker for PD diagnosis, and increased CE, PC and SM in CSF may reveal pathological changes in PD patients, such as blood-brain barrier leakage.

Indexed as

biomarkercerebrospinal fluidlipid metabolismParkinson’s disease

Identifiers

PMID37626522
PMCPMC10452343
OpenAlexW4385603040

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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.