Evidence map›Paper›PMID 40869277›Full record

ArticleInternational journal of molecular sciences2025

Construction and Analysis of Immune Infiltration and Competing Endogenous RNA Network in Moyamoya Disease.

Wenhao Liu, Hanhui Fu, Shiyuan Fang, Jun Ni, Bin Peng

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Wenhao LiuDepartment of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.ORCID 0000-0001-6610-5532
Hanhui FuDepartment of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Shiyuan FangDepartment of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.ORCID 0000-0001-9889-9197
Jun NiDepartment of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.ORCID 0000-0002-7877-612X
Bin PengDepartment of Neurology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.

Funding

National High Level Hospital Clinical Research Funding 2022-PUMCH-D-007
6 · The paper itself

Abstract

Moyamoya disease (MMD) is a cerebrovascular condition characterized by progressive stenosis of intracranial arteries, leading to stroke. While MMD was long considered a genetic disorder, emerging evidence suggests autoimmune mechanisms may contribute to its pathogenesis. The role of non-coding RNAs (ncRNAs) in the pathogenesis of MMD is under heated discussion, and a competitive endogenous RNA (ceRNA) network involving MMD-related ncRNAs has not been constructed. In this study, we integrated multiple bioinformatic analyses on transcriptomic data from the middle cerebral arteries of MMD patients and controls. Our analysis revealed a significant enrichment of innate immune system pathways, including antigen processing and macrophage activation, in MMD tissue. We constructed a robust ceRNA network centered on the long non-coding RNA

Indexed as

Gene Regulatory NetworksMoyamoya DiseaseRNA, Long NoncodingComputational BiologyFemaleGene Expression ProfilingHumansMaleMiddle Cerebral ArteryRNA, Competitive EndogenousTranscriptomeMALAT1 long non-coding RNA, humanRNA, Competitive EndogenousRNA, Long NoncodingceRNA networkimmune infiltrationlncRNAMoyamoya disease

Identifiers

PMID40869277
PMCPMC12386288

What OpenQuestion holds

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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.