Immunometabolic changes and potential biomarkers in CFS peripheral immune cells revealed by single-cell RNA sequencing.

IF 5.3 2区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY ACS Applied Nano Materials Pub Date : 2024-10-11 DOI:10.1186/s12967-024-05710-w
Yujing Sun, Zhenhua Zhang, Qincheng Qiao, Ying Zou, Lina Wang, Tixiao Wang, Bo Lou, Guosheng Li, Miao Xu, Yanxiang Wang, Zhenhong Zhang, Xinguo Hou, Li Chen, Ruxing Zhao
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Abstract

The pathogenesis of Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) remains unclear, though increasing evidence suggests inflammatory processes play key roles. In this study, single-cell RNA sequencing (scRNA-seq) of peripheral blood mononuclear cells (PBMCs) was used to decipher the immunometabolic profile in 4 ME/CFS patients and 4 heathy controls. We analyzed changes in the composition of major PBMC subpopulations and observed an increased frequency of total T cells and a significant reduction in NKs, monocytes, cDCs and pDCs. Further investigation revealed even more complex changes in the proportions of cell subpopulations within each subpopulation. Gene expression patterns revealed upregulated transcription factors related to immune regulation, as well as genes associated with viral infections and neurodegenerative diseases.CD4+ and CD8+ T cells in ME/CFS patients show different differentiation states and altered trajectories, indicating a possible suppression of differentiation. Memory B cells in ME/CFS patients are found early in the pseudotime, indicating a unique subtype specific to ME/CFS, with increased differentiation to plasma cells suggesting B cell overactivity. NK cells in ME/CFS patients exhibit reduced cytotoxicity and impaired responses, with reduced expression of perforin and CD107a upon stimulation. Pseudotime analysis showed abnormal development of adaptive immune cells and an enhanced cell-cell communication network converging on monocytes in particular. Our analysis also identified the estrogen-related receptor alpha (ESRRA)-APP-CD74 signaling pathway as a potential biomarker for ME/CFS in peripheral blood. In addition, data from the GSE214284 database confirmed higher ESRRA expression in the monocyte cell types of male ME/CFS patients. These results suggest a link between immune and neurological symptoms. The results support a disease model of immune dysfunction ranging from autoimmunity to immunodeficiency and point to amyloidotic neurodegenerative signaling pathways in the pathogenesis of ME/CFS. While the study provides important insights, limitations include the modest sample size and the evaluation of peripheral blood only. These findings highlight potential targets for diagnostic biomarkers and therapeutic interventions. Further research is needed to validate these biomarkers and explore their clinical applications in managing ME/CFS.

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通过单细胞 RNA 测序揭示 CFS 外周免疫细胞的免疫代谢变化和潜在生物标志物。
肌痛性脑脊髓炎/慢性疲劳综合征(ME/CFS)的发病机制仍不清楚,但越来越多的证据表明炎症过程在其中起着关键作用。本研究利用外周血单核细胞(PBMCs)的单细胞 RNA 测序(scRNA-seq)来解读 4 名 ME/CFS 患者和 4 名健康对照者的免疫代谢谱。我们分析了主要 PBMC 亚群组成的变化,观察到总 T 细胞频率增加,NK、单核细胞、cDC 和 pDC 明显减少。进一步研究发现,每个亚群中细胞亚群的比例发生了更为复杂的变化。基因表达模式显示,与免疫调节相关的转录因子以及与病毒感染和神经退行性疾病相关的基因上调。ME/CFS 患者的 CD4+ 和 CD8+ T 细胞显示出不同的分化状态和改变的轨迹,表明分化可能受到抑制。ME/CFS患者的记忆B细胞出现在假性时间的早期,表明这是ME/CFS特有的亚型,向浆细胞分化的增加表明B细胞过度活跃。ME/CFS患者的NK细胞细胞毒性降低,反应能力减弱,刺激后穿孔素和CD107a的表达减少。伪时间分析显示,适应性免疫细胞发育异常,细胞-细胞通讯网络增强,特别是向单核细胞聚集。我们的分析还发现,雌激素相关受体α(ESRRA)-APP-CD74信号通路是外周血中ME/CFS的潜在生物标志物。此外,来自 GSE214284 数据库的数据证实,男性 ME/CFS 患者的单核细胞类型中 ESRRA 表达较高。这些结果表明免疫和神经症状之间存在联系。研究结果支持从自身免疫到免疫缺陷的免疫功能障碍疾病模型,并指出淀粉样变性神经退行性信号通路是 ME/CFS 的发病机制。虽然这项研究提供了重要的见解,但也存在局限性,包括样本量不大以及只对外周血进行了评估。这些发现突出了诊断生物标志物和治疗干预的潜在目标。还需要进一步的研究来验证这些生物标志物,并探索它们在管理 ME/CFS 方面的临床应用。
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来源期刊
CiteScore
8.30
自引率
3.40%
发文量
1601
期刊介绍: ACS Applied Nano Materials is an interdisciplinary journal publishing original research covering all aspects of engineering, chemistry, physics and biology relevant to applications of nanomaterials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important applications of nanomaterials.
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