代谢组学分析揭示了退行性和非退行性肩袖撕裂的不同途径:发病机制和治疗的意义。

IF 2.2 4区 医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
Furkan Bülbül, Emine Koç, Bilge Başak Fidan, Ozan Kaplan, Hasan Rüzgar, Onur Bilge, Mustafa Özer, Mustafa Çelebier, Feza Korkusuz
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引用次数: 0

摘要

背景:组织代谢组学是一种很有前途的技术,用于评估疾病发病机制的原位变化。它解决了在退变和非退变冈上肌(SSp)肌腱研究中的重要知识差距。本研究分析了与肩袖撕裂相关的代谢组学特征(rct)。目的:随机对照试验导致功能丧失和肩部疼痛,其中SSp肌最常受影响。炎症和复杂的代谢变化可能在其病因中起作用。目的是评估RCT患者退行性和非退行性SSp组织之间的代谢组学差异。方法:对14例经体格检查和磁共振成像诊断的随机对照试验患者进行横断面研究。关节镜下收集退行性和非退行性SSp组织碎片。使用液相色谱四极杆飞行时间质谱(LC-Q-ToF-MS)对这些样品进行非靶向代谢组学分析。在进一步分析之前,确定、匹配和标准化代谢峰。进行了偏最小二乘判别分析(PLS-DA)、热图生成、无监督火山图和折叠变化分析。随后编制了一个假定的代谢物清单来阐明退化的途径。使用RaMP-DB代谢物集文库将这些代谢物与代谢途径匹配。结果:退行性随机对照试验中酪氨酸代谢(p=4.93 x10-4)、铁下垂(p=1.25 x10-3)、甾体生成(p=9.89 x10-4)和胆固醇生物合成(p=3.05 x10-3)发生改变。结论:这些发现表明代谢组学改变可能与随机对照试验的发展有关,酪氨酸代谢、铁下垂和脂质代谢的变化可能导致肌肉变性和炎症。已确定的类固醇发生中断为激素因素在RCT发展中的作用提供了新的见解。了解这些代谢途径在运动医学中具有临床相关性,因为它可以实现靶向治疗和个性化治疗策略,最终增强运动员的恢复和改善结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metabolomic Profiling Reveals Distinct Pathways in Degenerated and Non-Degenerated Rotator Cuff Tears: Implications for Pathogenesis and Treatment.

Background: Tissue metabolomics is a promising technology for evaluating in situ changes in disease pathogenesis. It addresses a significant knowledge gap in the study of both degenerated and non-degenerated supraspinatus (SSp) tendons. This study analyzed the metabolomic profiles associated with rotator cuff tears (RCTs).

Purpose: RCTs cause loss of function and shoulder pain, with the SSp muscle being the most frequently affected. Inflammation and complex metabolic changes may play roles in its etiology. Evaluation of the metabolomic differences between the degenerated and non-degenerated SSp tissues of RCT patients was aimed.

Methods: A cross-sectional study of 14 patients with RCTs, diagnosed through physical examination and magnetic resonance imaging, was conducted. Degenerate and non-degenerate SSp tissue debris were collected during arthroscopy. Untargeted metabolomic analysis of these samples was performed using liquid chromatography quadrupole time-of-flight mass spectrometry (LC-Q-ToF-MS). Metabolic peaks were identified, matched, and normalized before further analysis. Partial least squaresdiscriminant analysis (PLS-DA), heatmap generation, unsupervised volcano plots, and fold-change analyses were conducted. A putative metabolite list was subsequently compiled to elucidate pathways of degeneration. These metabolites were matched with metabolic pathways using the RaMP-DB metabolite set library.

Results: The tyrosine metabolism (p=4.93 x10-4), ferroptosis (p=1.25 x10-3), steroidogenesis (p=9.89 x10-4), and cholesterol biosynthesis (p=3.05 x10-3) were altered in the degenerated RCTs.

Conclusion: These findings suggest that metabolomic alterations may be associated with the development of RCTs, with changes in tyrosine metabolism, ferroptosis, and lipid metabolism potentially contributing to muscle degeneration and inflammation. Identified disruptions in steroidogenesis provide new insights into the role of hormonal factors in RCT development. Understanding these metabolic pathways is clinically relevant in sports medicine, as it enables targeted therapies and personalized treatment strategies, ultimately enhancing recovery and improving outcomes for athletes.

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来源期刊
Current molecular medicine
Current molecular medicine 医学-医学:研究与实验
CiteScore
5.00
自引率
4.00%
发文量
141
审稿时长
4-8 weeks
期刊介绍: Current Molecular Medicine is an interdisciplinary journal focused on providing the readership with current and comprehensive reviews/ mini-reviews, original research articles, short communications/letters and drug clinical trial studies on fundamental molecular mechanisms of disease pathogenesis, the development of molecular-diagnosis and/or novel approaches to rational treatment. The reviews should be of significant interest to basic researchers and clinical investigators in molecular medicine. Periodically the journal invites guest editors to devote an issue on a basic research area that shows promise to advance our understanding of the molecular mechanism(s) of a disease or has potential for clinical applications.
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