Evidence map›Paper›PMID 37508947›Full record

ArticleBrain sciences2023

Identification of Cuproptosis Clusters and Integrative Analyses in Parkinson's Disease.

Moxuan Zhang, Wenjia Meng, Chong Liu, Huizhi Wang, Renpeng Li, Qiao Wang, Yuan Gao, Siyu Zhou, Tingting Du, Tianshuo Yuan and 3 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 11 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

13 authors at 2 institutions in 1 country.

Moxuan ZhangBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.ORCID 0000-0002-5408-7389
Wenjia MengClinical School, Tianjin Medical University, Tianjin 300270, China.
Chong LiuBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Huizhi WangBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Renpeng LiBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Qiao WangBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Yuan GaoBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Siyu ZhouBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Tingting DuBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Tianshuo YuanBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Lin ShiDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.ORCID 0000-0002-4934-6649
Chunlei HanDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
Fangang MengBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.ORCID 0000-0002-8577-6443
Capital Medical University · CNTianjin Medical University · CN

Funding

National Natural Science Foundation of China 81901314National Natural Science Foundation of China 81971070
6 · The paper itself

Abstract

Parkinson's disease (PD) is the second most common neurodegenerative disease; it mainly occurs in the elderly population. Cuproptosis is a newly discovered form of regulated cell death involved in the progression of various diseases. Combining multiple GEO datasets, we analyzed the expression profile and immunity of cuproptosis-related genes (CRGs) in PD. Dysregulated CRGs and differential immune responses were identified between PD and non-PD substantia nigra. Two CRG clusters were defined in PD. Immune analysis suggested that CRG cluster 1 was characterized by a high immune response. The enrichment analysis showed that CRG cluster 1 was significantly enriched in immune activation pathways, such as the Notch pathway and the JAK-STAT pathway. KIAA0319, AGTR1, and SLC18A2 were selected as core genes based on the LASSO analysis. We built a nomogram that can predict the occurrence of PD based on the core genes. Further analysis found that the core genes were significantly correlated with tyrosine hydroxylase activity. This study systematically evaluated the relationship between cuproptosis and PD and established a predictive model for assessing the risk of cuproptosis subtypes and the outcome of PD patients. This study provides a new understanding of PD-related molecular mechanisms and provides new insights into the treatment of PD.

Indexed as

cuproptosisimmune infiltrationLASSO analysismolecular subtypesParkinson’s diseaseprediction model

Identifiers

PMID37508947
PMCPMC10377639
OpenAlexW4382752280

What OpenQuestion holds

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LicenceCC BY
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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.