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代谢重编程和巨细胞扩张定义了ACPA阴性类风湿性关节炎:从单细胞RNA测序的见解

Yafeng Jiang¹, Zhaolan Hu², Roujie Huang³

¹Department of Hematology, the Second Xiangya Hospital of Central South University, Changsha, China.

Frontiers in immunology

|January 20, 2025

概括

抗素抗体-阴性类风湿性关节炎 (ACPA-RA) 显示单细胞增加和突巨细胞代谢的改变. 一个机器学习模型准确地区分ACPA-RA患者,识别潜在的诊断生物标志物和治疗点.

科学领域:

免疫学免疫学免疫学
基因组学就是基因组学.
代谢学代谢学代谢学

背景情况:

抗素抗体-阴性类风湿性关节炎 (ACPA-RA) 缺乏特定的生物标志物,这给诊断和治疗带来了挑战.
了解ACPA-RA独特的细胞和代谢特征对于开发有针对性的干预措施至关重要.

研究的目的:

阐明ACPA-RA的独特细胞和代谢特征.
确定ACPA-RA的潜在诊断生物标志物和治疗点.

主要方法:

从ACPA-RA患者,ACPA+RA患者和健康对照患者的PBMC和突组织的单细胞RNA测序.
分析包括免疫细胞分类,假药时间轨迹,WGCNA,转录因子网络推断,细胞间通信 (CellChat,MEBOCOST) 和代谢流量估计 (scFEA).
开发了一个神经网络模型来区分ACPA-RA和健康对照.

主要成果:

在ACPA-RA患者中,PBMC和C1QChigh巨细胞在突组织中的古典单细胞增加.
突性巨细胞显示了代谢重编程,富含补充级联和谷氨代谢途径.
一个神经网络模型在将ACPA-RA与健康对照区分时获得了0.81的AUC,其中CD45和CCL5被确定为关键的相互作用通路.

结论:

ACPA-RA的特征是循环中的古典单细胞和代谢重编程的突巨细胞的增加.
这项研究强调免疫细胞代谢是ACPA-RA病变发生的关键领域.
一个经过验证的神经网络模型为诊断ACPA-RA提供了潜在的可能性,并建议新的治疗点.

关键词:

这就是ACPA ACPA ACPA.β-氨酸和谷氨的新陈代谢类风湿性关节炎类风湿性关节炎一个单细胞RNA测序.突性巨细胞的巨细胞

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