Evidence map›Paper›PMID 42046020›Full record

ArticleBMC microbiology2026

Multi-omics profiling of gut microbiota and host transcriptome identifies diagnostic signatures and mechanistic links in moyamoya disease.

Qiangqiang Zhou, Peng Huang, Rui Zhou, Fei Zeng, Jiazhi Jiang, Bin Zhao, Boxi Zhao, Hongyu Xu, Wei Wei, Xiang Li

Abstract read
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Article in BMC microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

10 authors.

Qiangqiang Zhou *Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China.
Peng Huang *Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China.
Rui Zhou *Department of Gastroenterology, Zhongnan Hospital of Wuhan University, Wuhan, China.
Fei ZengBrain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China.
Jiazhi JiangBrain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China.
Bin ZhaoDepartment of Neurosurgery, The Third People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang, China.
Boxi ZhaoDepartment of Neurosurgery, The Third People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang, China.
Hongyu XuBrain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China. xuhongyu@whu.edu.cn.
Wei WeiBrain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China. wei.wei@whu.edu.cn.
Xiang LiBrain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China. li.xiang@whu.edu.cn.

Funding

Climbing Project for Medical Talent of Zhongnan Hospital, Wuhan University PDJH202201National Natural Science Foundation of China 82171517; 82271556Translational Medicine and Interdisciplinary Research Joint Fund of Zhongnan Hospital of Wuhan University ZNJC202245
6 · The paper itself

Abstract

backgroundMoyamoya disease (MMD) features progressive intracranial artery stenosis and collateralization. Growing evidence implicates a dysregulated gut–brain axis in cerebrovascular pathology. We aimed to identify MMD-associated gut microbes and delineate the molecular mechanisms linking intestinal signals to vascular inflammation in MMD.

resultsWe profiled fecal microbiota using full-length 16S rRNA sequencing from 24 MMD patients and 20 matched controls, prioritizing taxa with LEfSe, LASSO, and random forest algorithms. A species-level diagnostic model showed robust discrimination in our cohort (ROC AUC = 0.9146), and DCA supported its clinical utility. To connect gut signals to host vascular responses, we integrated peripheral and vascular transcriptomes from GEO and a cross-disease cerebrovascular cohort. Differential expression, WGCNA, and LASSO analyses identified key MMD genes and their immune modules. We then intersected these with microbiome-derived, gut-related genes to nominate candidate mediators of gut–immune–vessel crosstalk. This multi-omics pipeline identified Fusobacterium nucleatum, Lachnoanaerobaculum cf. saburreum C27KA, and NK4A214_group as MMD-specific microbial markers. Crucially, these markers were associated with immune infiltration signatures and inflammatory pathway activation in diseased vessels. Further integration pinpointed QRFPR and HCAR2 as key mediators of gut-derived cerebrovascular inflammation, suggesting a potential microbiota–immune–vascular pathway along the gut–brain axis.

conclusionWe characterized an MMD-associated microbiota profile and proposed QRFPR and HCAR2 as candidate genes linking intestinal microbes to vascular immune activation. By mapping the gut–brain axis from microbial taxa to host receptors and vessel-wall transcriptional programs, this study uncovers potential disease mechanisms and highlights new avenues for microbiome-informed biomarkers and therapeutic targeting in MMD.

Indexed as

BacteriaGastrointestinal MicrobiomeMoyamoya DiseaseTranscriptomeFecesFemaleHumansMaleMultiomicsRNA, Ribosomal, 16SRNA, Ribosomal, 16SGut–brain axisGut microbiotaHCAR2Immune dysregulationMoyamoya diseaseMulti-omics analysisQRFPRTranscriptome

Identifiers

PMID42046020
PMCPMC13255406

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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.