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多组学分析类风湿关节炎伴骨破坏的生物标志物和分子机制。

Multi-omics analysis of biomarkers and molecular mechanism of rheumatoid arthritis with bone destruction.

机构信息

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.

出版信息

Joint Bone Spine. 2022 Nov;89(6):105438. doi: 10.1016/j.jbspin.2022.105438. Epub 2022 Jul 9.

Abstract

OBJECTIVES

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.

METHODS

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).

RESULTS

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.

CONCLUSIONS

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.

摘要

目的

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。

方法

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。

结果

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。

结论

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。

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