bioRxivMicrobiologyPreprint
Integrative Multi-Omics Analysis of Gut Microbiota Dysbiosis and Host-Microbiome Interaction Mechanisms in Hypertension
Wenkai LaiiD, Shaoping HuangiD, Yu ZhangiD, Shirong Lai, Shanwen SuniD, Furong Tang, Haidan YaniD, Fenglong YangiD
Abstract
ObjectiveTo characterize gut microbiota dysbiosis in hypertension and investigate its multilevel interactions with the host immune system. MethodsIntegrated multi-cohort microbiome data were used to evaluate microbial diversity, differential abundance, and co-occurrence network features between individuals with hypertension and healthy controls. The scBPS framework was applied to analyze microbiome-cell associations, enabling the resolution of relationships between key microbial taxa and functional states of immune cells at single-cell resolution. ResultsSeveral potentially protective genera reduced in hypertension and occupied central topological positions in the co-occurrence networks. Single-cell analyses further demonstrated that multiple key genera were closely associated with the functional states of monocytes and T cells (p<0.05). Specifically, Bacteroides and Bifidobacterium were associated with the proliferation and repair of classical monocytes; Butyricimonas showed a negative association with antigen processing and presentation pathways in monocytes; and Oscillospira promoted the transition of dnT cells toward an immunoregulatory state, suggesting its potential role in immune homeostasis. ConclusionsIntegrated multi-omics analyses reveal that hypertension-associated gut microbes may contribute to disease development through immune regulation, providing insights into microbiome-immune interaction mechanisms and potential targets for precision interventions.
- organism: human
- assay: metagenomics
- assay: multiome
- research focus: host-pathogen & immune response
- research focus: cell-cell communication
- approach: deep learning
- approach: statistical model
- Citations
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