{"title":"A Cross-Tissue Multiomics Analysis Reveals the Protective Role of TGFBR3 in Postmenopausal Osteoporosis","authors":"Yimin Liu, Chenxu Xie, Kaiwen Yang, Zixuan Liu, Runtong Liu, Xiaoli Hou, Lei Xing, Jingyuan Gao, Qiangqiang Lian, Yunpeng Hu, Yongheng Wang, Liu Zhang, Faming Tian","doi":"10.1155/ijog/6364895","DOIUrl":null,"url":null,"abstract":"<div>\n \n <section>\n \n <h3> Background</h3>\n \n <p>Postmenopausal osteoporosis (PMO) develops as a result of pathological cross-tissue interactions. However, current experimental paradigms are constrained by their single-tissue focus, hindering efforts to discover systemwide regulatory genes.</p>\n </section>\n \n <section>\n \n <h3> Objective</h3>\n \n <p>We aimed to discover conserved genetic regulators of PMO by integrating cross-tissue transcriptomic profiles in humans and to characterize their biological functions via combined genetic epidemiology and experimental studies using integrated analytical strategies.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Our analytical framework encompassed transcriptome profiles from human peripheral blood mononuclear cells, bone marrow, and bone tissue. We adopted a tiered strategy involving differential expression analysis, weighted gene coexpression network construction, and machine learning with 108 algorithm combinations for candidate gene selection. A two-sample Mendelian randomization was used to inform causal gene–disease relationships, while the key results were validated in an ovariectomized mouse model of osteoporosis. Mechanistic studies included single-cell transcriptomics, functional enrichment, and immune microenvironment profiling.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Cross-tissue analysis identified 97 consistently dysregulated genes between tissues, which were further refined to 64 high-confidence candidates. TGFBR3 was significantly protective against PMO (IVW OR = 0.675, 95% CI: 0.466–0.977, <i>p</i> = 0.037). Osteoporotic mice exhibited considerable downregulation of TGFBR3 expression, which was positively correlated with bone mineral density and mechanical properties as well as bone formation markers and negatively correlated with resorption markers. Cellular localization showed enrichment of TGFBR3 in bone marrow mesenchymal stem cells and T cells from human and mouse bone marrow. Functional analyses suggested that its protective effects involve the modulation of osteogenic differentiation pathways and regulation of the immune microenvironment.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>This is the first study to identify TGFBR3 as a novel cross-tissue protective regulator of PMO. Our integrated approach covering genomic discovery, causal inference, and experimental validation offers strong support to the hypothesis that TGFBR3 deficiency constitutes a fundamental feature of PMO pathogenesis, while shedding light on its multilevel protective mechanisms.</p>\n </section>\n </div>","PeriodicalId":55239,"journal":{"name":"Comparative and Functional Genomics","volume":"2026 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13051796/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Comparative and Functional Genomics","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1155/ijog/6364895","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Postmenopausal osteoporosis (PMO) develops as a result of pathological cross-tissue interactions. However, current experimental paradigms are constrained by their single-tissue focus, hindering efforts to discover systemwide regulatory genes.
Objective
We aimed to discover conserved genetic regulators of PMO by integrating cross-tissue transcriptomic profiles in humans and to characterize their biological functions via combined genetic epidemiology and experimental studies using integrated analytical strategies.
Methods
Our analytical framework encompassed transcriptome profiles from human peripheral blood mononuclear cells, bone marrow, and bone tissue. We adopted a tiered strategy involving differential expression analysis, weighted gene coexpression network construction, and machine learning with 108 algorithm combinations for candidate gene selection. A two-sample Mendelian randomization was used to inform causal gene–disease relationships, while the key results were validated in an ovariectomized mouse model of osteoporosis. Mechanistic studies included single-cell transcriptomics, functional enrichment, and immune microenvironment profiling.
Results
Cross-tissue analysis identified 97 consistently dysregulated genes between tissues, which were further refined to 64 high-confidence candidates. TGFBR3 was significantly protective against PMO (IVW OR = 0.675, 95% CI: 0.466–0.977, p = 0.037). Osteoporotic mice exhibited considerable downregulation of TGFBR3 expression, which was positively correlated with bone mineral density and mechanical properties as well as bone formation markers and negatively correlated with resorption markers. Cellular localization showed enrichment of TGFBR3 in bone marrow mesenchymal stem cells and T cells from human and mouse bone marrow. Functional analyses suggested that its protective effects involve the modulation of osteogenic differentiation pathways and regulation of the immune microenvironment.
Conclusion
This is the first study to identify TGFBR3 as a novel cross-tissue protective regulator of PMO. Our integrated approach covering genomic discovery, causal inference, and experimental validation offers strong support to the hypothesis that TGFBR3 deficiency constitutes a fundamental feature of PMO pathogenesis, while shedding light on its multilevel protective mechanisms.
背景:绝经后骨质疏松症(PMO)是病理性跨组织相互作用的结果。然而,目前的实验范式受到其单组织焦点的限制,阻碍了发现全系统调节基因的努力。目的:通过整合人类跨组织转录组学图谱,发现PMO的保守遗传调控因子,并采用综合分析策略,通过遗传流行病学和实验研究相结合,表征其生物学功能。方法:我们的分析框架包括来自人外周血单个核细胞、骨髓和骨组织的转录组谱。我们采用了一种分层策略,包括差异表达分析、加权基因共表达网络构建和机器学习,采用108种算法组合进行候选基因选择。两样本孟德尔随机化被用于了解因果基因与疾病的关系,而关键结果在骨质疏松症小鼠卵巢切除模型中得到验证。机制研究包括单细胞转录组学、功能富集和免疫微环境分析。结果:跨组织分析确定了97个组织间持续失调的基因,进一步细化为64个高可信度候选基因。TGFBR3对PMO有显著保护作用(IVW OR = 0.675, 95% CI: 0.466-0.977, p = 0.037)。骨质疏松小鼠TGFBR3表达明显下调,与骨矿物质密度、力学性能及骨形成标志物正相关,与骨吸收标志物负相关。细胞定位显示,TGFBR3在人和小鼠骨髓间充质干细胞和T细胞中富集。功能分析表明其保护作用包括调节成骨分化途径和调节免疫微环境。结论:本研究首次发现TGFBR3是一种新的PMO跨组织保护调节因子。我们的综合方法涵盖了基因组发现、因果推理和实验验证,有力地支持了TGFBR3缺陷是PMO发病机制的基本特征的假设,同时揭示了其多层次的保护机制。