Evidence map›Paper›PMID 38978048›Full record

ArticleJournal of translational medicine2024

A diagnostic model for Parkinson's disease based on circadian rhythm-related genes.

Lufeng Wang, Yiwen Bao, Xiaofan Duan, Hongxia Li, Hao Ding, Fei Yu, Jie Yang, Yongbo Hu, Dongya Huang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of translational medicine, 2024. 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

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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Lufeng Wang *Department of Neurology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Yiwen Bao *Department of Neurology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Xiaofan Duan *Department of Oncology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Hongxia Li *Department of Neurology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Hao DingDepartment of Neurology, Shanghai Baoshan Luodian Hospital, Shanghai, 201908, China.
Fei YuDepartment of Neurology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Jie YangDepartment of Neurology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.
Yongbo HuDepartment of Neurology, Changhai Hospital, Naval Medical University, Shanghai, 200433, China. huyongbo91@126.com.
Dongya HuangDepartment of Neurology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200092, China. dongyahuang77@hotmail.com.

Funding

Natural Science Foundation of China 81771258Natural Science Foundation of China 82101484Shanghai Sailing Program 21YF1437600
6 · The paper itself

Abstract

backgroundCircadian rhythm (CR) disturbance is intricately associated with Parkinson's disease (PD). However, the involvement of CR-related mechanisms in the pathogenesis and progression of PD remains elusive.

methodsA total of 141 PD patients and 113 healthy participants completed CR-related clinical examinations in this study. To further investigate the CR-related mechanisms in PD, we obtained datasets (GSE7621, GSE20141, GSE20292) from the Gene Expression Omnibus database to identify differentially expressed genes between PD patients and healthy controls and further selected CR-related genes (CRRGs). Subsequently, the least absolute shrinkage and selection operator (LASSO) followed by logistic algorithms were employed to identify the hub genes and construct a diagnostic model. The predictive performance was evaluated by area under the curve (AUC), calibration curve, and decision curve analyses in the training set and external validation sets. Finally, RT‒qPCR and Western blotting were conducted to verify the expression of these hub genes in blood samples. In addition, Pearson correlation analysis was utilized to validate the association between expression of hub genes and circadian rhythm function.

resultsOur clinical observational study revealed that even early-stage PD patients exhibited a higher likelihood of experiencing sleep disturbances, nocturnal hypertension, reverse-dipper blood pressure, and reduced heart rate variability compared to healthy controls. Furthermore, 4 CR-related hub genes (AGTR1, CALR, BRM14, and XPA) were identified and subsequently incorporated as candidate biomarkers to construct a diagnostic model. The model showed satisfactory diagnostic performance in the training set (AUC = 0.941), an external validation set GSE20295 (AUC = 0.842), and our clinical centre set (AUC = 0.805). Additionally, the up-regulation of CALR, BRM14 and the down-regulation of AGTR1, XPA were associated with circadian rhythm disruption.

conclusionCR disturbance seems to occur in the early stage of PD. The diagnostic model based on CR-related genes demonstrated robust diagnostic efficacy, offering novel insights for future clinical diagnosis of PD and providing a foundation for further exploration into the role of CR-related mechanisms in the progression of PD.

Indexed as

Circadian RhythmParkinson DiseaseAgedCase-Control StudiesDatabases, GeneticFemaleGene Expression ProfilingGene Expression RegulationHumansMaleMiddle AgedModels, BiologicalROC CurveBioinformaticsCircadian rhythmNomogramParkinson’s disease

Identifiers

PMID38978048
PMCPMC11229228

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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.