Yang Chen, Gao Ju, Li Yaqun, Xiao Yinggang, Huang Tianfeng
Department of Anesthesiology, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, 225001 Yangzhou, Jiangsu, China.
Department of Pain Management, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, 225001 Yangzhou, Jiangsu, China.
J Integr Neurosci. 2025 Jul 25;24(7):38130. doi: 10.31083/JIN38130.
Thalamic hemorrhage pain (THP), a subtype of central post-stroke pain (CPSP), commonly develops following ischemic or hemorrhagic injury to the thalamus. Current therapeutic options remain inadequate due to the absence of well-defined molecular targets. This study aimed to elucidate critical genes implicated in THP pathogenesis through an integrated multi-omics approach.
A mouse model of THP was established and mice were divided into THP and control groups. Comprehensive multi-omics profiling involving transcriptomics, proteomics, metabolomics, ribosome profiling (Ribo-seq), and single-cell RNA sequencing (scRNA-seq) was conducted. Differentially expressed genes (DEGs), differentially expressed proteins (DEPs), ribosome footprint-associated DEGs (RF-DEGs), and differentially expressed metabolites (DEMs) were identified comparative expression analyses. Hub genes were extracted from the DEGs and subsequently intersected with scRNA-seq DEGs, DEPs, and RF-DEGs to define key gene candidates. These genes underwent gene set enrichment analysis (GSEA), disease association mapping, and drug prediction. Expression levels of key genes were used to delineate critical cell populations, followed by analyses of intercellular communication and pseudotemporal differentiation trajectories. Orthogonal partial least squares discriminant analysis was used to validate the model.
The THP mouse model was successfully validated. Multi-omics analyses yielded distinct profiles of DEGs, single-cell DEGs, DEPs, RF-DEGs, and DEMs, which were functionally annotated through enrichment strategies. Notably, 12 hub genes were prioritized, of which eight key genes (ferritin light chain 1 (), tropomyosin 4 (), C-C motif chemokine ligand 3 (), C-C motif chemokine ligand 4 (), C-C motif chemokine receptor 2 (), interleukin 33 (), C-X-C motif chemokine ligand 2 (), and Lymphocyte antigen 6 complex, locus C2 () were identified. These genes were predominantly associated with oxidative phosphorylation and ribosomal pathways. Further analyses revealed strong associations with necrotic and inflammatory processes, and compounds such as alprostadil and anisomycin were identified as potential therapeutic agents. Single-cell analyses highlighted six pivotal cell types, including endothelial cells and macrophages. Intercellular communication networks and lineage progression patterns of these cells were systematically characterized, alongside spatial and temporal expression profiles of key genes.
This study established a validated THP mouse model and employed a multi-omics integration strategy to identify eight key genes and associated molecular pathways. These findings provide novel mechanistic insights into THP pathogenesis and highlight promising targets for therapeutic intervention.
丘脑出血性疼痛(THP)是中风后中枢性疼痛(CPSP)的一种亚型,通常在丘脑发生缺血性或出血性损伤后出现。由于缺乏明确的分子靶点,目前的治疗选择仍然不足。本研究旨在通过综合多组学方法阐明与THP发病机制相关的关键基因。
建立THP小鼠模型,并将小鼠分为THP组和对照组。进行了包括转录组学、蛋白质组学、代谢组学、核糖体谱分析(Ribo-seq)和单细胞RNA测序(scRNA-seq)在内的综合多组学分析。通过比较表达分析确定差异表达基因(DEGs)、差异表达蛋白(DEPs)、核糖体足迹相关差异表达基因(RF-DEGs)和差异表达代谢物(DEMs)。从DEGs中提取枢纽基因,随后与scRNA-seq DEGs、DEPs和RF-DEGs进行交叉分析,以确定关键基因候选物。对这些基因进行基因集富集分析(GSEA)、疾病关联图谱绘制和药物预测。利用关键基因的表达水平来描绘关键细胞群,随后分析细胞间通讯和伪时间分化轨迹。采用正交偏最小二乘判别分析对模型进行验证。
成功验证了THP小鼠模型。多组学分析产生了DEGs、单细胞DEGs、DEPs、RF-DEGs和DEMs的独特图谱,通过富集策略对其进行了功能注释。值得注意的是,确定了12个枢纽基因,其中8个关键基因(铁蛋白轻链1()、原肌球蛋白4()、C-C基序趋化因子配体3()、C-C基序趋化因子配体4()、C-C基序趋化因子受体2()、白细胞介素33()、C-X-C基序趋化因子配体2()和淋巴细胞抗原6复合体,位点C2())被识别。这些基因主要与氧化磷酸化和核糖体途径相关。进一步分析揭示了与坏死和炎症过程的强烈关联,并确定前列腺素E1和茴香霉素等化合物为潜在治疗药物。单细胞分析突出了六种关键细胞类型,包括内皮细胞和巨噬细胞。系统地描绘了这些细胞的细胞间通讯网络和谱系进展模式,以及关键基因的时空表达谱。
本研究建立了经过验证的THP小鼠模型,并采用多组学整合策略确定了8个关键基因及相关分子途径。这些发现为THP发病机制提供了新的机制性见解,并突出了有前景的治疗干预靶点。