Key genes linking gut microbiota, immune cells, and osteoporosis: A multi-omics approach

IF 3.5 3区 医学 Q3 IMMUNOLOGY Microbial pathogenesis Pub Date : 2025-05-01 Epub Date: 2025-02-22 DOI:10.1016/j.micpath.2025.107412
Qiuwei Li , Ruocheng Guo , Zuomeng Wu , Chenhao Zhao , Cailiang Shen
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Abstract

Background

Osteoporosis, a debilitating condition characterized by decreased bone mass and increased fracture risk, requires novel insights into its molecular mechanisms for improved therapeutic approaches. In this study, we comprehensively explore the causal links between gut microbiota, immune cell regulation, and osteoporosis by integrating Mendelian randomization (MR), single-cell RNA sequencing (scRNA-seq), and bioinformatics analyses.

Methods

We employed a two-sample MR approach to investigate the causal associations between 412 gut microbiota species and two osteoporosis traits using data from the UK Biobank and Finnish cohorts. Additionally, 731 immune cell types were analyzed as potential mediators between the gut microbiota and osteoporosis. Bioinformatics analysis, including gene ontology (GO) and KEGG pathway enrichment, was used to assess the functional implications of differentially expressed genes. ScRNA-seq from publicly available datasets was conducted to profile the expression of key genes, including USP6NL, SELENOT, and TAF1A, in osteoporotic and control samples.

Results

The MR analysis identified significant causal relationships between the gut microbiota (notably the glyoxylate cycle) and osteoporosis outcomes. Furthermore, HLA-DR expression on hematopoietic stem cells (HSCs) was identified as a crucial immune cell mediator between the gut microbiota and osteoporosis, highlighting the immune-microbiota-bone axis. Differential expression analysis from scRNA-seq confirmed the upregulation of USP6NL, SELENOT, and TAF1A in osteoporotic samples. Functional enrichment analysis revealed that these genes play significant roles in pathways related to oxidative stress, calcium homeostasis, and immune modulation. These findings were validated through GTEX data integration, identifying USP6NL, SELENOT, and TAF1A as potential therapeutic targets for osteoporosis.

Conclusions

This study provides novel insights into the interplay between gut microbiota, immune regulation, and bone metabolism in osteoporosis. The integration of Mendelian randomization, single-cell RNA sequencing, and bioinformatics analyses uncovers USP6NL, SELENOT, and TAF1A as key mediators and potential therapeutic targets in osteoporosis. These findings open up new avenues for personalized treatment strategies targeting the gut-immune-bone axis in osteoporosis management.
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连接肠道微生物群、免疫细胞和骨质疏松症的关键基因:多组学方法。
背景:骨质疏松症是一种以骨量减少和骨折风险增加为特征的衰弱性疾病,需要对其分子机制有新的认识,以改进治疗方法。在这项研究中,我们通过整合孟德尔随机化(MR)、单细胞RNA测序(scRNA-seq)和生物信息学分析,全面探索肠道微生物群、免疫细胞调节和骨质疏松症之间的因果关系。方法:我们采用双样本MR方法,利用来自英国生物银行和芬兰队列的数据,研究412种肠道微生物群与两种骨质疏松症特征之间的因果关系。此外,731种免疫细胞类型被分析为肠道微生物群与骨质疏松症之间的潜在介质。生物信息学分析,包括基因本体(GO)和KEGG途径富集,用于评估差异表达基因的功能意义。利用公开数据集的ScRNA-seq分析骨质疏松症和对照样本中关键基因的表达,包括USP6NL、SELENOT和TAF1A。结果:磁共振分析确定了肠道微生物群(特别是乙醛酸循环)与骨质疏松症结局之间的显著因果关系。此外,HLA-DR在造血干细胞(hsc)上的表达被确定为肠道微生物群和骨质疏松症之间的重要免疫细胞介质,突出了免疫-微生物-骨轴。来自scRNA-seq的差异表达分析证实了骨质疏松样本中USP6NL、SELENOT和TAF1A的上调。功能富集分析显示,这些基因在氧化应激、钙稳态和免疫调节相关的途径中发挥重要作用。通过GTEX数据整合验证了这些发现,确定了USP6NL、SELENOT和TAF1A作为骨质疏松症的潜在治疗靶点。结论:本研究为骨质疏松症中肠道微生物群、免疫调节和骨代谢之间的相互作用提供了新的见解。孟德尔随机化、单细胞RNA测序和生物信息学分析的整合揭示了USP6NL、SELENOT和TAF1A是骨质疏松症的关键介质和潜在治疗靶点。这些发现为骨质疏松症治疗中针对肠道-免疫-骨轴的个性化治疗策略开辟了新的途径。
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来源期刊
Microbial pathogenesis
Microbial pathogenesis 医学-免疫学
CiteScore
7.40
自引率
2.60%
发文量
472
审稿时长
56 days
期刊介绍: Microbial Pathogenesis publishes original contributions and reviews about the molecular and cellular mechanisms of infectious diseases. It covers microbiology, host-pathogen interaction and immunology related to infectious agents, including bacteria, fungi, viruses and protozoa. It also accepts papers in the field of clinical microbiology, with the exception of case reports. Research Areas Include: -Pathogenesis -Virulence factors -Host susceptibility or resistance -Immune mechanisms -Identification, cloning and sequencing of relevant genes -Genetic studies -Viruses, prokaryotic organisms and protozoa -Microbiota -Systems biology related to infectious diseases -Targets for vaccine design (pre-clinical studies)
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