Suppr超能文献

基于靶向代谢组学分析的强直性脊柱炎血清氨基酸代谢特征。

Serum amino acid metabolic profiles of ankylosing spondylitis by targeted metabolomics analysis.

机构信息

Department of Orthopaedic Surgery, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.

Department of Parasitology, Harbin Medical University, Harbin, People's Republic of China.

出版信息

Clin Rheumatol. 2020 Aug;39(8):2325-2336. doi: 10.1007/s10067-020-04974-z. Epub 2020 Mar 4.

Abstract

BACKGROUND

Ankylosing spondylitis (AS) is a common chronic inflammatory arthritis, causing lasting back pain with progressive loss of spinal mobility. However, the exact pathogenesis of AS remains unclear. We aim to use the metabolomics analysis to characterize the metabolic profile of AS, in order to better understand the pathogenesis of AS and monitor disease activity and progression.

METHODS

The ultra-high performance liquid chromatography-triple quadrupole mass spectrometry (UPLC-TQ-MS) was used for investigating the serum amino acid metabolomic profiling of 30 AS patients, in comparison with 32 rheumatoid arthritis (RA) patients and 30 healthy controls, combined with multivariate statistical analysis. Metabolite association analysis with disease activity was performed using generalized linear regression. The metabolic pathway analysis for the important metabolites was performed using MetPA and the metabolic network was constructed.

RESULTS

A total of 29 amino acids and biogenic amines were detected in all participants by UPLC-TQ-MS. It showed significant amino acid differences between the AS/RA patients and control subjects. Additionally, 4-hydroxy-L-proline, alanine, γ-aminobutyric acid, glutamine, and taurine were identified as candidate markers shared by AS/RA groups. Specifically, lysine, proline, serine, and alanine were found correlated with disease activity of AS. Furthermore, the most significant metabolic pathway identified were alanine, aspartate, and glutamate metabolism, arginine and proline metabolism, aminoacyl tRNA biosynthesis and glycine, serine, and threonine metabolism.

CONCLUSIONS

These preliminary results demonstrate that UPLC-TQ-MS analysis method is a powerful tool to identify metabolite profiles of AS. Research in identified disease activity-associated metabolites and biological pathways may provide assistance for clinical diagnosis and pathological mechanism of AS. Key Points • There are perturbations of serum amino acid metabolism in AS, compared with RA and healthy controls, determined by UPLC-TQ-MS. • Metabolomics pathway is used to analysis for the differential metabolites of AS. • The altered serum amino acid could monitor disease activity of AS.

摘要

背景

强直性脊柱炎(AS)是一种常见的慢性炎症性关节炎,可导致持续性背痛,并伴有脊柱活动度逐渐丧失。然而,AS 的确切发病机制仍不清楚。我们旨在使用代谢组学分析来描述 AS 的代谢特征,以便更好地了解 AS 的发病机制,并监测疾病的活动度和进展。

方法

采用超高效液相色谱-三重四极杆质谱联用(UPLC-TQ-MS)对 30 例 AS 患者、32 例类风湿关节炎(RA)患者和 30 例健康对照者的血清氨基酸代谢组学进行了分析,并结合多元统计分析。采用广义线性回归对与疾病活动度相关的代谢物进行关联分析。采用 MetPA 对重要代谢物进行代谢途径分析,并构建代谢网络。

结果

通过 UPLC-TQ-MS 在所有参与者中共检测到 29 种氨基酸和生物胺。AS/RA 患者与对照组之间的氨基酸差异具有统计学意义。此外,还鉴定出 4-羟基-L-脯氨酸、丙氨酸、γ-氨基丁酸、谷氨酰胺和牛磺酸为 AS/RA 组共有的候选标志物。具体而言,赖氨酸、脯氨酸、丝氨酸和丙氨酸与 AS 的疾病活动度相关。此外,确定的最显著代谢途径是丙氨酸、天冬氨酸和谷氨酸代谢、精氨酸和脯氨酸代谢、氨酰-tRNA 生物合成以及甘氨酸、丝氨酸和苏氨酸代谢。

结论

这些初步结果表明,UPLC-TQ-MS 分析方法是一种识别 AS 代谢谱的有力工具。对鉴定出的与疾病活动度相关的代谢物和生物途径的研究可能有助于 AS 的临床诊断和病理机制。

关键点

  1. 与 RA 和健康对照者相比,通过 UPLC-TQ-MS 可检测到 AS 患者血清氨基酸代谢紊乱。

  2. 代谢组学途径用于分析 AS 的差异代谢物。

  3. 改变的血清氨基酸可监测 AS 的疾病活动度。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验