Evidence map›Paper›PMID 40913267›Full record

ArticleJournal of the American Heart Association2025

Single-Cell Transcriptome Profiling Reveals Dynamic Cell Populations and Immune Infiltration in Moyamoya Disease.

Shihao He, Junze Zhang, Zhenyu Zhou, Zhen Qi, Xilong Wang, Yanru Wang, Yutong Liu, Yunqing Zhou, Chengxu Lei, Xun Ye and 1 more

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

11 authors.

Shihao HeDepartment of Neurosurgery Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences Beijing China.ORCID 0000-0002-2522-8656
Junze ZhangDepartment of Neurosurgery Beijing Tiantan Hospital, Capital Medical University Beijing China.ORCID 0000-0002-1764-4959
Zhenyu ZhouDepartment of Neurosurgery Beijing Tiantan Hospital, Capital Medical University Beijing China.ORCID 0009-0008-8848-1174
Zhen QiACROBiosystems Inc Beijing China.ORCID 0000-0003-2144-4754
Xilong WangDepartment of Neurosurgery Beijing Tiantan Hospital, Capital Medical University Beijing China.ORCID 0009-0006-5053-4053
Yanru WangDepartment of Neurosurgery Beijing Tiantan Hospital, Capital Medical University Beijing China.ORCID 0000-0002-8357-7926
Yutong LiuDepartment of Neurosurgery Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences Beijing China.
Yunqing ZhouACROBiosystems Inc Beijing China.
Chengxu LeiDepartment of Neurosurgery Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences Beijing China.
Xun YeDepartment of Neurosurgery Beijing Tiantan Hospital, Capital Medical University Beijing China.ORCID 0000-0002-3789-5819
Yuanli ZhaoDepartment of Neurosurgery Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences Beijing China.ORCID 0000-0002-3263-6797

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe cellular composition and molecular mechanisms of the pathological arteries in Moyamoya disease (MMD) remain poorly understood. To improve our understanding of pathogenesis in MMD, we aimed to comprehensively map the cellular composition and molecular alterations within the pathological arteries of patients with MMD.

methodsSuperficial temporal artery samples were collected from patients with MMD (n=2) and healthy controls (n=3), yielding a total of 26 371 cells that were used for single-cell RNA sequencing. Differentially expressed genes, pathway enrichment, and cell-cell communication analyses were performed to examine disease-related changes. In vitro experiments were performed to validate the changes in endothelial cells (ECs) and smooth-muscle cells (SMCs), as well as the interactions between immune cells and ECs and SMCs.

resultsWe identified 8 major cell types in the human superficial temporal artery. We observed an increased proportion of SMCs in the superficial temporal artery of MMD. Two distinct SMC clusters, SMC1 and SMC2, were identified and exhibited different gene expression. Immune profiling revealed significant upregulation of genes in natural killer T cells, suggesting increased immune activity in MMD. Cell-cell communication analysis highlighted the role of the macrophage migration inhibitory factor pathway in promoting interactions between immune cells, SMCs, and ECs. In vitro experiments confirmed that the colocalization of CD74 with CD44 or CXCR4 in ECs promotes EC proliferation and angiogenesis. Natural killer T cells can promote cytoskeletal enlargement in ECs and SMCs, enhancing their migratory and proliferative capacities, as well as promoting angiogenesis in ECs.

conclusionsThis study provides a single-cell transcriptomic map of the superficial temporal artery in MMD, revealing key immune and vascular cell populations. Immune cells, particularly natural killer T cells, play a critical role in promoting SMC and EC proliferation and migration, contributing to vascular occlusion. These findings make contributions to understanding the pathogenesis of MMD and suggest potential therapeutic targets.

Indexed as

Endothelial CellsGene Expression ProfilingMoyamoya DiseaseMyocytes, Smooth MuscleSingle-Cell AnalysisTemporal ArteriesTranscriptomeAdultCase-Control StudiesCell CommunicationCells, CulturedFemaleHumansMaleMiddle AgedMuscle, Smooth, Vascularendothelial cellsimmune infiltrationMoyamoya diseasesingle‐cell RNA sequencing

Identifiers

PMID40913267
PMCPMC12554407

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.