跟腱区域、供体和疾病的存在如何影响跟腱的蛋白质组成?

IF 4.4 2区 医学 Q1 ORTHOPEDICS
Rachana S Vaidya,Petra E Gilmore,Qiang Zhang,Keith R Lohse,Necat Havlioglu,Robert W Sprung,R Reid Townsend,Jonathon Backus,Jeremy McCormick,Andrew Thome,Spencer P Lake,Simon Y Tang,Farshid Guilak,Jennifer A Zellers
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(2) What compositional changes characterize tendinopathy, and what protein interactions might contribute to tendon degeneration? (3) How does diabetes influence tendon composition, and what mechanisms might underlie tendon dysfunction in individuals with diabetes?\r\n\r\nMETHODS\r\nIn this exploratory, cross-sectional study, human Achilles tendon specimens were obtained from individuals with (diabetes group, n = 5) or without diabetes (control group, n = 5) undergoing lower extremity amputation and from individuals undergoing tendon debridement surgeries for tendinopathy (tendinopathy group, n = 8). Specimens were collected between 2019 and 2023. Protein abundances were quantified and analyzed using mass spectrometry, hierarchical clustering, and principal component analysis. To evaluate the role of tendon region and donor on tendon protein compositional variability, we assessed proteomic differences between three regions in nontendinopathic tendons from three individuals. To identify the contribution of disease (that is, presence of tendinopathy or diabetes) on protein composition, we compared tendons from the tendinopathy (n = 8 [2 males, 6 females], mean ± SD age 48 ± 11 years), diabetes (n = 5 [3 males, 2 females], age 54 ± 9 years), and control (n = 5 [3 males, 2 females], age 42 ± 12 years) groups. Proteomic differences associated with tendinopathy and diabetes were further examined using functional enrichment and protein-protein interaction network analysis.\r\n\r\nRESULTS\r\nVariability in tendon protein composition was primarily from presence of disease, followed by donor and then tendon region. Protein composition distinguished tendons with tendinopathy from controls, with 311 proteins differentially expressed (152 overexpressed and 159 underexpressed; fold change ≥ 1.5, p < 0.05) and higher Bonar scores indicating greater degeneration (mean ± SD Bonar score tendinopathy group 8.6 ± 1.2 versus control group 2.1 ± 0.7; p = 0.01). Pathway analysis identified dysregulation in extracellular matrix remodeling (TIMP1, MMP3, MMP10), inflammatory response (TNF-α, EGFR1), and metabolic reprogramming. Tendons from individuals with diabetes exhibited minimal proteomic changes compared with the control group, with 66 differentially expressed proteins (31 overexpressed and 35 underexpressed; fold change ≥ 1.5, p < 0.05) with no histopathologic differences between diabetes and control group tendons (mean ± SD Bonar score diabetes group 3.4 ± 1.0 versus control group 2.1 ± 0.7; p = 0.19). Tendons in the diabetes group showed reductions in Type I collagen, enrichment of pathways associated with fibrosis and metabolic dysfunction, and inflammatory pathways associated with α6β4 integrin.\r\n\r\nCONCLUSION\r\nOur findings indicate that Achilles tendon composition primarily differs based on disease etiology, with tendinopathy showing extensive extracellular matrix disruption and inflammatory activity, whereas tendons from individuals with diabetes exhibit more subtle compositional changes. This distinction suggests that tendinopathy may require targeted interventions addressing tissue remodeling and inflammation, whereas diabetes may predispose tendons to injury but not directly result in degeneration. Understanding these protein compositional variations can help refine hypotheses about disease progression, treatment response, and potential therapeutic targets.\r\n\r\nCLINICAL RELEVANCE\r\nWhile proteomic analysis is not currently a part of routine clinical assessment, these findings provide a framework for identifying protein markers that may aid in early diagnosis or patient stratification to improve treatment alignment. Future studies could determine whether these proteomic changes correlate with treatment response and further inform our understanding of early-stage degeneration from chronic disease. 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引用次数: 0

摘要

背景:肌腱病变对治疗的反应是可变的,这可能反映了潜在病因和肌腱对治疗的反应能力的可变性。了解跟腱蛋白质组成的变异性可能有助于提高我们对疼痛性跟腱退变的机制基础的理解,并为治疗目标提供信息。问题/目的(1)哪些因素(跟腱区域、个体特征、疾病的存在)导致人类跟腱的蛋白质组成(蛋白质组学)和结构变化?(2)哪些成分变化是肌腱病变的特征,哪些蛋白质相互作用可能导致肌腱变性?(3)糖尿病如何影响肌腱组成,糖尿病患者肌腱功能障碍的机制可能是什么?方法在这项探索性的横断面研究中,从下肢截肢患者(糖尿病组,n = 5)或非糖尿病患者(对照组,n = 5)以及因肌腱病变接受肌腱清创手术的患者(肌腱病变组,n = 8)中获得人类跟腱标本。标本采集时间为2019年至2023年。蛋白质丰度通过质谱、层次聚类和主成分分析进行定量和分析。为了评估肌腱区域和供体对肌腱蛋白质组成变异性的作用,我们评估了来自三个个体的非肌腱病肌腱的三个区域之间的蛋白质组学差异。为了确定疾病(即是否存在肌腱病变或糖尿病)对蛋白质组成的影响,我们比较了肌腱病变(n = 8[2名男性,6名女性],平均±SD年龄48±11岁)、糖尿病(n = 5[3名男性,2名女性],年龄54±9岁)和对照组(n = 5[3名男性,2名女性],年龄42±12岁)组的肌腱。通过功能富集和蛋白相互作用网络分析,进一步研究了与肌腱病变和糖尿病相关的蛋白质组学差异。结果肌腱蛋白组成的变异主要来自疾病的存在,其次是供体,然后是肌腱区域。蛋白质组成将肌腱病变与对照组区分开来,有311个蛋白质差异表达(152个过表达,159个过表达;折差≥1.5,p < 0.05), Bonar评分越高,退行性变越大(Bonar评分平均值±SD:肌腱病变组8.6±1.2比对照组2.1±0.7;P = 0.01)。通路分析发现细胞外基质重塑(TIMP1, MMP3, MMP10),炎症反应(TNF-α, EGFR1)和代谢重编程失调。与对照组相比,糖尿病患者的肌腱表现出最小的蛋白质组学变化,有66个差异表达蛋白(31个过表达,35个过表达;折叠变化≥1.5,p < 0.05),糖尿病组与对照组之间无组织病理学差异(平均±SD Bonar评分糖尿病组3.4±1.0比对照组2.1±0.7;P = 0.19)。糖尿病组肌腱显示I型胶原蛋白减少,与纤维化和代谢功能障碍相关的途径和α6β4整合素相关的炎症途径富集。结论:我们的研究结果表明,跟腱的组成主要根据疾病的病因而不同,肌腱病变表现为广泛的细胞外基质破坏和炎症活动,而糖尿病患者的肌腱则表现出更细微的组成变化。这一区别表明,肌腱病变可能需要针对组织重塑和炎症进行有针对性的干预,而糖尿病可能会使肌腱损伤,但不会直接导致变性。了解这些蛋白质组成的变化可以帮助完善关于疾病进展、治疗反应和潜在治疗靶点的假设。虽然蛋白质组学分析目前还不是常规临床评估的一部分,但这些发现为识别蛋白质标志物提供了一个框架,可能有助于早期诊断或患者分层,以改善治疗方案。未来的研究可以确定这些蛋白质组变化是否与治疗反应相关,并进一步告知我们对慢性疾病早期变性的理解。通过将分子发现与临床表现联系起来,本研究为未来肌腱疾病的精准医学方法研究奠定了基础,并以基于生物学和症状特征的定制治疗为长期目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How Does Tendon Region, Donor, and the Presence of Disease Affect Protein Composition of the Achilles Tendon?
BACKGROUND Response to treatment for tendinopathy is variable, which may reflect variability in underlying etiology and capacity for the tendon to respond to treatment. Understanding variability in tendon protein composition may help improve our understanding of the mechanistic underpinnings of painful tendon degeneration and inform treatment targets. QUESTIONS/PURPOSES (1) What factors (tendon region, individual characteristics, presence of disease) contribute to protein compositional (proteomic) and structural variation in human Achilles tendons? (2) What compositional changes characterize tendinopathy, and what protein interactions might contribute to tendon degeneration? (3) How does diabetes influence tendon composition, and what mechanisms might underlie tendon dysfunction in individuals with diabetes? METHODS In this exploratory, cross-sectional study, human Achilles tendon specimens were obtained from individuals with (diabetes group, n = 5) or without diabetes (control group, n = 5) undergoing lower extremity amputation and from individuals undergoing tendon debridement surgeries for tendinopathy (tendinopathy group, n = 8). Specimens were collected between 2019 and 2023. Protein abundances were quantified and analyzed using mass spectrometry, hierarchical clustering, and principal component analysis. To evaluate the role of tendon region and donor on tendon protein compositional variability, we assessed proteomic differences between three regions in nontendinopathic tendons from three individuals. To identify the contribution of disease (that is, presence of tendinopathy or diabetes) on protein composition, we compared tendons from the tendinopathy (n = 8 [2 males, 6 females], mean ± SD age 48 ± 11 years), diabetes (n = 5 [3 males, 2 females], age 54 ± 9 years), and control (n = 5 [3 males, 2 females], age 42 ± 12 years) groups. Proteomic differences associated with tendinopathy and diabetes were further examined using functional enrichment and protein-protein interaction network analysis. RESULTS Variability in tendon protein composition was primarily from presence of disease, followed by donor and then tendon region. Protein composition distinguished tendons with tendinopathy from controls, with 311 proteins differentially expressed (152 overexpressed and 159 underexpressed; fold change ≥ 1.5, p < 0.05) and higher Bonar scores indicating greater degeneration (mean ± SD Bonar score tendinopathy group 8.6 ± 1.2 versus control group 2.1 ± 0.7; p = 0.01). Pathway analysis identified dysregulation in extracellular matrix remodeling (TIMP1, MMP3, MMP10), inflammatory response (TNF-α, EGFR1), and metabolic reprogramming. Tendons from individuals with diabetes exhibited minimal proteomic changes compared with the control group, with 66 differentially expressed proteins (31 overexpressed and 35 underexpressed; fold change ≥ 1.5, p < 0.05) with no histopathologic differences between diabetes and control group tendons (mean ± SD Bonar score diabetes group 3.4 ± 1.0 versus control group 2.1 ± 0.7; p = 0.19). Tendons in the diabetes group showed reductions in Type I collagen, enrichment of pathways associated with fibrosis and metabolic dysfunction, and inflammatory pathways associated with α6β4 integrin. CONCLUSION Our findings indicate that Achilles tendon composition primarily differs based on disease etiology, with tendinopathy showing extensive extracellular matrix disruption and inflammatory activity, whereas tendons from individuals with diabetes exhibit more subtle compositional changes. This distinction suggests that tendinopathy may require targeted interventions addressing tissue remodeling and inflammation, whereas diabetes may predispose tendons to injury but not directly result in degeneration. Understanding these protein compositional variations can help refine hypotheses about disease progression, treatment response, and potential therapeutic targets. CLINICAL RELEVANCE While proteomic analysis is not currently a part of routine clinical assessment, these findings provide a framework for identifying protein markers that may aid in early diagnosis or patient stratification to improve treatment alignment. Future studies could determine whether these proteomic changes correlate with treatment response and further inform our understanding of early-stage degeneration from chronic disease. By bridging molecular findings with clinical presentation, this study lays the groundwork for future research on precision medicine approaches for tendon disorders, with the long-term goal of tailoring treatment based on both biological and symptomatic characteristics.
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来源期刊
CiteScore
7.00
自引率
11.90%
发文量
722
审稿时长
2.5 months
期刊介绍: Clinical Orthopaedics and Related Research® is a leading peer-reviewed journal devoted to the dissemination of new and important orthopaedic knowledge. CORR® brings readers the latest clinical and basic research, along with columns, commentaries, and interviews with authors.
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