OSCR

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

Overview

Authors: Qiangqiang Zhou1,2, Peng Huang1,2, Rui Zhou3,4, Fei Zeng1,2, Jiazhi Jiang1,2, Bin Zhao5, Boxi Zhao5, Hongyu Xu1,2, Wei Wei1,2, Xiang Li1,2
  1. Brain Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China
  2. Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
  3. Department of Gastroenterology, Zhongnan Hospital of Wuhan University, Wuhan, China
  4. The Hubei Clinical Center and Key Laboratory of Intestinal and Colorectal Diseases, Wuhan, China
  5. Department of Neurosurgery, The Third People’s Hospital of Xinjiang Uygur Autonomous Region, Xinjiang, China
Journal: BMC microbiology, volume 26, issue 1, article 548
Dates: received 12 November 2025; accepted 17 April 2026; published online 27 April 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1186/s12866-026-05084-7 · PMID 42046020 · PMCID PMC13255406 · OpenAlex W7156279250
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: genetics / omics (modality), human (organism), stroke (population), clinical / translational (subfield)
Methods: Statistics, Machine learning, Connectivity, Spectral & time-frequency
Keywords: Moyamoya disease, Gut–brain axis, Gut microbiota, Multi-omics analysis, Immune dysregulation, Transcriptome, QRFPR, HCAR2
MeSH: Bacteria*, Gastrointestinal Microbiome*, Moyamoya Disease*, Transcriptome*, Feces, Female, Humans, Male, Multiomics, RNA, Ribosomal, 16S (* major topic)
Topic: Moyamoya disease diagnosis and treatment (Rheumatology, Medicine), according to OpenAlex
Funding: National Natural Science Foundation of China (82171517, 82271556); Climbing Project for Medical Talent of Zhongnan Hospital, Wuhan University (PDJH202201); Translational Medicine and Interdisciplinary Research Joint Fund of Zhongnan Hospital of Wuhan University (ZNJC202245)
Citations: not cited yet (Europe PMC); 51 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

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Data

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Data availability statement

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Read it in the paper: doi.org/10.1186/s12866-026-05084-7.

Versions

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Version 1, 30 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 10 authors, 8 keywords, 10 MeSH terms, 3 funders, 50 references.

Cite

This paper

Zhou, Q., Huang, P., Zhou, R., Zeng, F., Jiang, J., Zhao, B., Zhao, B., Xu, H., Wei, W., & Li, X. (2026). Multi-omics profiling of gut microbiota and host transcriptome identifies diagnostic signatures and mechanistic links in moyamoya disease. BMC microbiology, 26(1), 548. https://doi.org/10.1186/s12866-026-05084-7

BibTeX

@article{zhou2026multi,
author = {Zhou, Qiangqiang and Huang, Peng and Zhou, Rui and Zeng, Fei and Jiang, Jiazhi and Zhao, Bin and Zhao, Boxi and Xu, Hongyu and Wei, Wei and Li, Xiang},
title = {{Multi-omics profiling of gut microbiota and host transcriptome identifies diagnostic signatures and mechanistic links in moyamoya disease}},
journal = {BMC microbiology},
year = {2026},
month = apr,
volume = {26},
number = {1},
pages = {548},
publisher = {BMC},
issn = {1471-2180},
doi = {10.1186/s12866-026-05084-7},
url = {https://doi.org/10.1186/s12866-026-05084-7},
pmid = {42046020},
pmcid = {PMC13255406}
}

RIS

TY - JOUR
AU - Zhou, Qiangqiang
AU - Huang, Peng
AU - Zhou, Rui
AU - Zeng, Fei
AU - Jiang, Jiazhi
AU - Zhao, Bin
AU - Zhao, Boxi
AU - Xu, Hongyu
AU - Wei, Wei
AU - Li, Xiang
TI - Multi-omics profiling of gut microbiota and host transcriptome identifies diagnostic signatures and mechanistic links in moyamoya disease
T2 - BMC microbiology
J2 - BMC Microbiol
PY - 2026
DA - 2026/04/27
VL - 26
IS - 1
SP - 548
SN - 1471-2180
PB - BMC
DO - 10.1186/s12866-026-05084-7
UR - https://doi.org/10.1186/s12866-026-05084-7
LA - en
ER -

CSL-JSON

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"DOI": "10.1186/s12866-026-05084-7",
"PMID": "42046020",
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"ISSN": "1471-2180",
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"language": "en",
"issued": {
"date-parts": [
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}

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