Evidence map›Paper›PMID 42171932›Full record

ArticleJournal of molecular neuroscience : MN2026

Hsa_circ_0065149 mediates the ceRNA network pathway: Research on the mechanism regulating myasthenia gravis.

Siyu Liu, Qinghua Tian, Zhaojun Liu, Yingjie Ren, Aoqing Yu, Biying Chen, Tianyang Zhou, Xiang Li, Jianjian Wang, Lihua Wang and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of molecular neuroscience : MN, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Siyu Liu *Department of Neurology, The Second Affiliated Hospital, Harbin Medical University, Harbin, Heilongjiang Province, China.
Qinghua Tian *Department of Neurology, The 962 Hospital of the Chinese People's Liberation Army Joint Logistic Support Force, Harbin, Heilongjiang Province, China.
Zhaojun Liu *Department of Neurology, The Second Affiliated Hospital, Harbin Medical University, Harbin, Heilongjiang Province, China.
Yingjie RenDepartment of Neurology, The Second Affiliated Hospital, Harbin Medical University, Harbin, Heilongjiang Province, China.
Aoqing YuDepartment of Neurology, The Second Affiliated Hospital, Harbin Medical University, Harbin, Heilongjiang Province, China.
Biying ChenDepartment of Neurology, The Second Affiliated Hospital, Harbin Medical University, Harbin, Heilongjiang Province, China.
Tianyang ZhouDepartment of Neurology, The Second Affiliated Hospital, Harbin Medical University, Harbin, Heilongjiang Province, China.
Xiang LiDepartment of Neurology, The Second Affiliated Hospital, Harbin Medical University, Harbin, Heilongjiang Province, China.
Jianjian WangDepartment of Neurology, The Second Affiliated Hospital, Harbin Medical University, Harbin, Heilongjiang Province, China. wangjian_427@163.com.
Lihua WangDepartment of Neurology, The Second Affiliated Hospital, Harbin Medical University, Harbin, Heilongjiang Province, China. wanglh211@163.com.
Huixue ZhangDepartment of Neurology, The Second Affiliated Hospital, Harbin Medical University, Harbin, Heilongjiang Province, China. zhanghuixue2009@163.com.

Funding

Heilongjiang Chunyan Youth Science and Technology Talent team project CYQN24009National Natural Science Foundation of China 82171396National Natural Science Foundation of China 82271434Natural Science Foundation of Heilongjiang Province YQ2023H011
6 · The paper itself

Abstract

CircRNAs have been linked to the pathogenesis and progression of myasthenia gravis (MG), but research on this association remains limited. This study aims to provide a new perspective for understanding the molecular pathogenesis of MG. We obtained RNA-seq data from patients with acetylcholine receptor (AChR)-positive MG and healthy individuals from the Gene Expression Omnibus (GEO) database. A bioinformatics analysis was performed to identify differentially expressed circRNAs related to MG; the circRNA that was most consistently identified in most databases as a key factor involved in MG, hsa_circ_0065149, was chosen for further analysis. AChR localized at the postsynaptic membrane of the neuromuscular junction (NMJ) plays a pivotal role in mediating synaptic signal transmission. The CHRNA1 gene, which encodes the α1 subunit of AChR and is critical for its function-was subsequently selected as the target mRNA in our investigation, whereas our prediction pipeline identified miR-330-5p as the target. For functional assays, various constructs (e.g., hsa_circ_0065149-siRNA) were transfected as described in the Methods section. The qRT‒PCR results indicated that hsa_circ_0065149 knockdown significantly upregulated miR-330-5p and downregulated CHRNA1, while the inhibition of miR-330-5p significantly upregulated both hsa_circ_0065149 and CHRNA1. We also performed functional rescue experiments to confirm the regulatory hierarchical relationships among these factors. A dual-luciferase reporter assay confirmed that hsa_circ_0065149 and CHRNA1 are direct targets of miR-330-5p. These results suggest that hsa_circ_0065149 regulates MG by mediating the ceRNA network pathway, and we reasonably hypothesize that it may further contribute to the pathological process of MG by impairing signal transmission in the NMJ.

Indexed as

Gene Regulatory NetworksMyasthenia GravisRNA, CircularHumansMicroRNAsReceptors, NicotinicRNA, Competitive EndogenousCHRNA1 protein, humanMicroRNAsReceptors, NicotinicRNA, CircularRNA, Competitive EndogenousAcetylcholine receptor (AChR)Competing endogenous RNA (ceRNA)hsa_circ_0065149Myasthenia gravis (MG)

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.