Analysis of Key Differential Metabolites in Intervertebral Disc Degeneration Based on Untargeted Metabolomics

IF 3.4 3区 医学 Q1 ORTHOPEDICS
JOR Spine Pub Date : 2025-01-08 DOI:10.1002/jsp2.70032
Daqian Zhou, Xingrui Zhang, Jiale Lv, Yongliang Mei, Yingjin Luo, Fengjiang Li, Zongchao Liu
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引用次数: 0

Abstract

Background

Intervertebral disc degeneration disease (IVDD) is a prevalent orthopedic condition that causes chronic lower back pain, imposing a substantial economic burden on patients and society. Despite its high incidence, the pathophysiological mechanisms of IVDD remain incompletely understood.

Objective

This study aimed to identify metabolomic alterations in IVDD patients and explore the key metabolic pathways and metabolites involved in its pathogenesis.

Methods

Serum samples from 20 IVDD patients and 20 healthy controls were analyzed using ultra-high-performance liquid chromatography-mass spectrometry (UHPLC–MS). The identified metabolites were mapped to metabolic pathways using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database.

Results

Significant alterations were observed in metabolites such as 2-methyl-1,3-cyclohexadiene, stearoyl sphingomyelin, methylcysteine, L-methionine, and cis, cis-muconic acid. These metabolites were involved in pathways including glycine, serine, and threonine metabolism, cyanoamino acid metabolism, and the citrate cycle (TCA cycle).

Conclusion

The identified metabolic alterations provide insights into the pathogenesis of IVDD and suggest potential therapeutic targets for future investigation.

Abstract Image

基于非靶向代谢组学的椎间盘退变关键差异代谢物分析。
背景:椎间盘退变病(IVDD)是一种常见的骨科疾病,导致慢性下背部疼痛,给患者和社会带来了巨大的经济负担。尽管其发病率很高,但IVDD的病理生理机制仍不完全清楚。目的:本研究旨在识别IVDD患者的代谢组学改变,探索其发病机制中的关键代谢途径和代谢物。方法:采用超高效液相色谱-质谱(UHPLC-MS)对20例IVDD患者和20例健康对照者的血清进行分析。利用京都基因与基因组百科全书(KEGG)数据库将鉴定的代谢物映射到代谢途径。结果:2-甲基-1,3-环己二烯、硬脂酰鞘磷脂、甲基半胱氨酸、l-蛋氨酸和顺式、顺式粘膜酸等代谢物发生了显著变化。这些代谢物参与的途径包括甘氨酸、丝氨酸和苏氨酸代谢、氰氨基酸代谢和柠檬酸循环(TCA循环)。结论:所鉴定的代谢改变为IVDD的发病机制提供了新的见解,并为未来的研究提供了潜在的治疗靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JOR Spine
JOR Spine ORTHOPEDICS-
CiteScore
6.40
自引率
18.90%
发文量
42
审稿时长
10 weeks
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