Evidence map›Paper›PMID 40146346›Full record

ArticleFunctional & integrative genomics2025

Dynamic cellular composition and immune landscape revealed by single-cell transcriptome profiling in a brain arteriovenous malformation.

Yutong Liu, Hongchuan Niu, Junze Zhang, Rui Liang, Zhenyu Zhou, Chengxu Lei, Shihao He, Changyu Lu, Yuanli Zhao

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Article in Functional & integrative genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Yutong Liu *Department of Neurosurgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Hongchuan Niu *Department of Neurosurgery, Peking University International Hospital, Beijing, 102206, China.
Junze ZhangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
Rui LiangJiujiang City Key Laboratory of Cell Therapy, The First Hospital of Jiujiang City, Jiujiang City, 332000, China.
Zhenyu ZhouDepartment of Neurosurgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Chengxu LeiDepartment of Neurosurgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Shihao He *Department of Neurosurgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100730, China. heshihaoo@outlook.com.
Changyu LuDepartment of Neurosurgery, Peking University International Hospital, Beijing, 102206, China. luchangyu@pkuih.edu.cn.
Yuanli Zhao *Department of Neurosurgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100730, China. zhaoyuanli@126.com.

Funding

National High Level Hospital Clinical Research Funding 2024-PUMCH-E-011Wu Jieping Medical Foundation Clinical Research Fund 320.6750.2023-11-7
6 · The paper itself

Abstract

backgroundCerebral arteriovenous malformation is a congenital blood vessel abnormality with its immune mechanism remains unclear. Our study characterized the change of cellular composition and gene expression landscape in brain arteriovenous malformation (bAVM).

methodsWe conducted single-cell RNA sequencing analysis on one bAVM sample and three healthy control (HC) samples. Cell clustering analysis and cell type annotation were used to identify the major cell types in bAVM and HC samples. Critical differentially expressed genes between bAVM and HC sample were analyzed in each cell types to explore the functional changes of each kind of cells. We also examined the cell communication change in bAVM sample and identified the significantly changed cellular interaction pathways.

results5 major cell types were identified including NK cells, monocytes, fibroblasts, endothelial cells (EC), tissue stem cells and smooth muscle cells (SMC). In bAVM sample, proportion of monocytes raised significantly while SMC decreased. Inflammation and cell migration related genes expression and cell communication pathways changed dramatically in bAVM sample.

conclusionInhibition of monocyte-endothelium interaction and promotion of NK cells interaction were found in bAVM sample, which may reveal a new mechanism about inflammation response and cellular impairment in the disease progression.

Indexed as

Intracranial Arteriovenous MalformationsTranscriptomeAdultCell CommunicationEndothelial CellsFemaleFibroblastsGene Expression ProfilingHumansKiller Cells, NaturalMaleMonocytesMyocytes, Smooth MuscleSingle-Cell AnalysisBrain arteriovenous malformationCell communicationCellular compositionImmune landscapeSingle-cell transcriptome

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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.