Department of Clinical Research Center, Dazhou Central Hospital, No. 56 Nanyuemiao Street, Tongchuan District, 635000 Dazhou, Sichuan province, P. R. China; Dazhou Vocational and Technical College, Dazhou, Sichuan, China.
Department of Rheumatology, Sichuan Provincial People's Hospital, 610000 Chengdu, Sichuan, China.
Joint Bone Spine. 2022 Nov;89(6):105438. doi: 10.1016/j.jbspin.2022.105438. Epub 2022 Jul 9.
Our study aimed to elucidate the role of metabolites, bacteria, and fungi in rheumatoid arthritis (RA) patients with bone destruction (BD(+)) and identify some biomarkers to predicate bone progression of RA.
Plasma metabolites of the 127 RA patients and 69 healthy controls were conducted by using nontargeted liquid chromatography-mass spectrometry (LC-MS). The gut bacteria and fungi were assessed by 16S rRNA and internal transcribed spacer (ITS).
Compared with RA patients without bone destruction (BD(-)), some metabolites, bacteria, and fungi were altered in BD(+). Seven metabolites were selected as key metabolites for classifying the BD(+) and BD(-) groups with moderate accuracy (AUC=0.71). Metabolites-groups, metabolites-metabolites, and metabolites-clinical factors had a certain correlation, and 7 metabolites were enriched in glycerophospholipid metabolism and L-arginine and proline metabolism pathways. The bacteria and fungi of the BD(+) group showed significant differences in composition and function compared with BD(-) group. The changed 4 bacteria and 12 fungi yielded accuracy (AUC=0.74 and AUC=0.87, respectively) for the two groups. Taking 7 metabolites, 4 bacteria, and 12 fungi as a panel for AUC analysis, an improved AUC of 0.99 significantly discriminated the two groups. The changed metabolites, gut bacteria, and fungi may affect the pathway related to L-arginine.
Our nontargeted LC-MS, 16S rRNA, and ITS highlighted a novel link among the metabolites, bacteria, fungi, and pathology of BD(+), which could contribute to our understanding of the role of metabolites, bacteria, and fungi in BD(+) etiology and offered some novel biomarkers to predict the bone progression of RA.
本研究旨在阐明代谢物、细菌和真菌在伴有骨破坏(BD(+))的类风湿关节炎(RA)患者中的作用,并确定一些生物标志物来预测 RA 的骨进展。
采用非靶向液相色谱-质谱(LC-MS)检测 127 例 RA 患者和 69 例健康对照者的血浆代谢物。采用 16S rRNA 和内部转录间隔区(ITS)评估肠道细菌和真菌。
与无骨破坏(BD(-))的 RA 患者相比,BD(+)患者的一些代谢物、细菌和真菌发生了改变。有 7 种代谢物被选为区分 BD(+)和 BD(-)组的中等准确性(AUC=0.71)的关键代谢物。代谢物-组、代谢物-代谢物和代谢物-临床因素具有一定的相关性,7 种代谢物富集在甘油磷脂代谢和 L-精氨酸和脯氨酸代谢途径中。BD(+)组的细菌和真菌组成和功能与 BD(-)组相比存在显著差异。改变的 4 种细菌和 12 种真菌的准确性(AUC 分别为 0.74 和 0.87)可用于两组的区分。将 7 种代谢物、4 种细菌和 12 种真菌作为一个面板进行 AUC 分析,AUC 提高到 0.99,可显著区分两组。改变的代谢物、肠道细菌和真菌可能会影响与 L-精氨酸相关的途径。
本研究采用非靶向 LC-MS、16S rRNA 和 ITS,突出了代谢物、细菌、真菌与 BD(+)病理之间的新联系,有助于我们理解代谢物、细菌和真菌在 BD(+)发病机制中的作用,并为预测 RA 的骨进展提供了一些新的生物标志物。