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Integrative multi-omics analysis reveals inflammation-related molecular networks in acute mountain sickness.

Overview

Authors: Zhicheng Xiang1, Haifeng Ma2, Dahai Cao1, Fei Zhang1, Chunqing Yang1, Taijian Cao3, Qiang Zhang2
  1. College of Clinical Medicine Qinghai University, Xining, China
  2. Department of Neurosurgery, Qinghai Provincial People’s Hospital, Xining, China
  3. Qinghai University Affiliated Hospital, School of Clinical Medicine, Qinghai University, Xining, China
Journal: Frontiers in immunology, volume 17, article 1745433
Dates: received 13 November 2025; accepted 29 April 2026; published online 22 May 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.3389/fimmu.2026.1745433 · PMID 42254026 · PMCID PMC13237639 · OpenAlex W7162111466
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: genetics / omics (modality), human (organism), mouse (organism), cellular / molecular (subfield)
Methods: Statistics, Smoothing, state filtering, decompositions, fMRI & imaging
Keywords: high-altitude cerebral edema, inflammation-related genes, monocyte-mediated inflammation, multi-omics integration, single-cell RNA sequencing
MeSH: Altitude Sickness*, Gene Regulatory Networks*, Inflammation*, Acute Disease, Animals, Brain Edema, Disease Models, Animal, Gene Expression Profiling, Humans, Male, Mice, Multiomics, Signal Transduction (* major topic)
Topic: High Altitude and Hypoxia (Genetics, Biochemistry, Genetics and Molecular Biology), according to OpenAlex
Citations: not cited yet (Europe PMC); 52 references in the paper

Abstract

Background: High-altitude cerebral edema (HACE) is a life-threatening condition following rapid ascent to high altitude, with acute mountain sickness (AMS) as a key precursor. Increasing evidence implicates inflammation in its pathogenesis, yet the molecular regulatory networks remain unclear.

Methods: We integrated bulk RNA-seq (GSE75665), non-coding RNA-seq (GSE90500), and single-cell RNA-seq datasets to explore inflammation-related mechanisms in AMS. Differentially expressed genes (DEGs) were identified and analyzed using Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA). Protein-protein interaction, miRNA-mRNA, transcription factor, and drug-gene networks were constructed. Single-cell and deconvolution analyses determined cell-type-specific expression and immune composition. A hypobaric hypoxia-induced HACE mouse model was established for experimental validation to assess heparin-binding EGF-like growth factor (HBEGF) expression and associated neuroinflammatory and pathological changes.

Results: We identified 323 DEGs, including five 5 inflammation-related genes, all downregulated in AMS and enriched in epithelial cell growth, migration, and the ErbB signaling pathway. hsa-miR-375 was predicted to regulate multiple key genes, and drug gene analysis highlighted HBEGF as a potential therapeutic target. Single-cell data revealed monocytes as the major source of key gene expression and increased CD4+ monocytes in AMS. In vivo, HBEGF expression was significantly reduced in HACE mice, while Adeno-associated virus (AAV)-mediated HBEGF overexpression mitigated cerebral edema, blood-brain barrier disruption, neuronal injury, and proinflammatory cytokine release.

Conclusions: This integrative multi-omics study identifies monocyte-mediated inflammation and the ErbB pathway as critical mechanisms in HACE. HBEGF emerges as a promising therapeutic target for preventing neuroinflammation and cerebral injury in high-altitude conditions.

Reproduced under the paper's license (CC BY), from the paper cited above.

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Data

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Data availability statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, pages, dates, 7 authors, 5 keywords, 13 MeSH terms, 52 references.

Cite

This paper

Xiang, Z., Ma, H., Cao, D., Zhang, F., Yang, C., Cao, T., & Zhang, Q. (2026). Integrative multi-omics analysis reveals inflammation-related molecular networks in acute mountain sickness. Frontiers in immunology, 17, 1745433. https://doi.org/10.3389/fimmu.2026.1745433

BibTeX

@article{xiang2026integrative,
author = {Xiang, Zhicheng and Ma, Haifeng and Cao, Dahai and Zhang, Fei and Yang, Chunqing and Cao, Taijian and Zhang, Qiang},
title = {{Integrative multi-omics analysis reveals inflammation-related molecular networks in acute mountain sickness}},
journal = {Frontiers in immunology},
year = {2026},
month = may,
volume = {17},
pages = {1745433},
publisher = {Frontiers Media SA},
issn = {1664-3224},
doi = {10.3389/fimmu.2026.1745433},
url = {https://doi.org/10.3389/fimmu.2026.1745433},
pmid = {42254026},
pmcid = {PMC13237639}
}

RIS

TY - JOUR
AU - Xiang, Zhicheng
AU - Ma, Haifeng
AU - Cao, Dahai
AU - Zhang, Fei
AU - Yang, Chunqing
AU - Cao, Taijian
AU - Zhang, Qiang
TI - Integrative multi-omics analysis reveals inflammation-related molecular networks in acute mountain sickness
T2 - Frontiers in immunology
J2 - Front Immunol
PY - 2026
DA - 2026/05/22
VL - 17
SP - 1745433
SN - 1664-3224
PB - Frontiers Media SA
DO - 10.3389/fimmu.2026.1745433
UR - https://doi.org/10.3389/fimmu.2026.1745433
LA - en
ER -

CSL-JSON

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"language": "en",
"issued": {
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