Evidence map›Paper›PMID 37664885›Full record

ArticleCNS neuroscience & therapeutics2024

Transcriptome sequencing of circular RNA reveals the involvement of hsa-SCMH1_0001 in the pathogenesis of Parkinson's disease.

Qiao Wang, Huizhi Wang, Xuemin Zhao, Chunlei Han, Chong Liu, Zhibao Li, Tingting Du, Yunpeng Sui, Xin Zhang, Jianguo Zhang and 3 more

Open access · goldAbstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 12 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 3 institutions in 1 country.

Qiao WangDepartment of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Huizhi WangDepartment of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Xuemin ZhaoDepartment of Neurophysiology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Chunlei HanBeijing Key Laboratory of Neurostimulation, Beijing, China.
Chong LiuDepartment of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.ORCID 0000-0001-7780-2480
Zhibao LiDepartment of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.ORCID 0000-0002-0180-1534
Tingting DuDepartment of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Yunpeng SuiDepartment of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Xin ZhangDepartment of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Jianguo ZhangDepartment of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.ORCID 0000-0002-0009-0574
Yilei XiaoDepartment of Neurosurgery, Liaocheng People's Hospital, Liaocheng, China.
Guoen CaiDepartment of Neurology, Fujian Medical University Union Hospital, Fuzhou, China.
Fangang MengDepartment of Functional Neurosurgery, Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.ORCID 0000-0002-8577-6443
Capital Medical University · CNFujian Medical University · CNLiaocheng People's Hospital · CN

Funding

Beijing Natural Science Foundation Program and Scientific Research Key Program of Beijing Municipal Commission of Education KZ201910025036National Natural Science Foundation of China 81901314National Natural Science Foundation of China 81971070Natural Science Foundation of Shandong Province of China ZR2021MH303Taishan Scholar Project of Shandong Province of China tsqn202103200
6 · The paper itself

Abstract

backgroundParkinson's disease (PD) is the second most common neurodegenerative disease. Exosomes are endosome-derived extracellular vesicles that can take part in intercellular communication. Circular RNAs (circRNAs) are noncoding RNAs characterized by covalently closed-loop structures, which perform a crucial function in many diseases.

aimTo clarify the expression and function of exosomal circRNSs of PD patients and look for circRNAs that might be related to the pathogenesis of PD. MATERIALS AND

methodsWe examined circRNA and mRNA expression profiles in peripheral exosomes from PD patients (n = 23) and healthy controls (n = 15) using next-generation sequencing (NGS) technology, functional annotation, and quantitative polymerase chain reaction. Correlation analysis was performed between the expression levels of the circRNAs and the clinical characteristics of PD patients. The binding miRNAs and target genes were predicted using TargetScanHuman, miRDB, and miRTarBase. The predicted target genes were compared with the differentially expressed mRNAs in sequencing results.

resultsAccording to the NGS, 62 upregulated and 37 downregulated circRNAs in the PD group were screened out. Correlation analysis revealed that hsa-SCMH1_0001 has strong clinical relevance. We identified 17 potential binding miRNAs of hsa-SCMH1_0001 with 149 potential target genes. ARID1A and C1orf115 belong to the intersection of the predicted target genes and the differentially expressed mRNAs obtained by sequencing.

conclusionThis study suggested that hsa-SCMH1_0001 and its target genes ARID1A and C1orf115 are downregulated in PD patients and may be involved in the occurrence of PD.

Indexed as

MicroRNAsNeurodegenerative DiseasesParkinson DiseaseHumansRNA, CircularRNA, MessengerTranscriptomeMicroRNAsRNA, CircularRNA, Messengercircular RNAexosomesnext-generation sequencingParkinson's disease

Identifiers

PMID37664885
PMCPMC10916443
OpenAlexW4386407128

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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.