Cytokine profiling of extracellular vesicles isolated from plasma in myalgic encephalomyelitis/chronic fatigue syndrome: a pilot study

肌痛性脑脊髓炎/慢性疲劳综合征血浆中分离的细胞外囊泡的细胞因子分析:一项初步研究

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作者:Ludovic Giloteaux, Adam O'Neal, Jesús Castro-Marrero, Susan M Levine, Maureen R Hanson

Background

Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a debilitating disease of unknown etiology lasting for a minimum of 6 months but usually for many years, with features including fatigue, cognitive impairment, myalgias, post-exertional malaise, and immune system dysfunction. Dysregulation of cytokine signaling could give rise to many of these symptoms. Cytokines are present in both plasma and extracellular vesicles, but little investigation of EVs in ME/CFS has been reported. Therefore, we aimed to characterize the content of extracellular vesicles (EVs) isolated from plasma (including circulating cytokine/chemokine profiling) from individuals with ME/CFS and healthy controls.

Conclusions

Elevated levels of 30-130 nm EVs were found in plasma from ME/CFS patients and inter-cytokine correlations revealed unusual regulatory relationships among cytokines in the ME/CFS group that were different from the control group in both plasma and EVs. These disturbances in cytokine networks are further evidence of immune dysregulation in ME/CFS.

Methods

We included 35 ME/CFS patients and 35 controls matched for age, sex and BMI. EVs were enriched from plasma by using a polymer-based precipitation method and characterized by Nanoparticle Tracking Analysis (NTA), Transmission Electron Microscopy (TEM) and immunoblotting. A 45-plex immunoassay was used to determine cytokine levels in both plasma and isolated EVs from a subset of 19 patients and controls. Linear regression, principal component analysis and inter-cytokine correlations were analyzed.

Results

ME/CFS individuals had significantly higher levels of EVs that ranged from 30 to 130 nm in size as compared to controls, but the mean size for total extracellular vesicles did not differ between groups. The enrichment of typical EV markers CD63, CD81, TSG101 and HSP70 was confirmed by Western blot analysis and the morphology assessed by TEM showed a homogeneous population of vesicles in both groups. Comparison of cytokine concentrations in plasma and isolated EVs of cases and controls yielded no significant differences. Cytokine-cytokine correlations in plasma revealed a significant higher number of interactions in ME/CFS cases along with 13 inverse correlations that were mainly driven by the Interferon gamma-induced protein 10 (IP-10), whereas in the plasma of controls, no inverse relationships were found across any of the cytokines. Network analysis in EVs from controls showed 2.5 times more significant inter-cytokine interactions than in the ME/CFS group, and both groups presented a unique negative association. Conclusions: Elevated levels of 30-130 nm EVs were found in plasma from ME/CFS patients and inter-cytokine correlations revealed unusual regulatory relationships among cytokines in the ME/CFS group that were different from the control group in both plasma and EVs. These disturbances in cytokine networks are further evidence of immune dysregulation in ME/CFS.

文献解析

1. 文献背景信息

  • ​标题/作者/期刊/年份​​:

    • 标题:肌痛性脑脊髓炎/慢性疲劳综合征(ME/CFS)血浆中分离的细胞外囊泡(EVs)的细胞因子分析

    • 作者:Ludovic Giloteaux等(包括ME/CFS研究领域知名学者Maureen R Hanson)

    • 期刊:Journal of Translational Medicine(IF=6.100,中科院医学2区)

    • 年份:2020年,时效性较强,反映近年研究进展。

  • ​研究领域与背景​​:

    • 领域:ME/CFS的免疫机制研究,聚焦细胞外囊泡(EVs)与细胞因子网络的关联。

    • 现状:ME/CFS病因未明,免疫失调是核心假说之一,但EVs在其中的作用研究较少。

  • ​研究动机​​:

    • 填补空白:首次系统分析ME/CFS患者血浆EVs的细胞因子谱,探索EVs作为免疫失调载体的潜在作用。

2. 研究问题与假设

  • ​核心问题​​:ME/CFS患者的EVs是否携带异常细胞因子谱,从而反映免疫调控紊乱?

  • ​假设​​:ME/CFS患者的EVs中细胞因子网络关联模式与健康人不同,且EVs数量/组成可能异常。

3. 研究方法学与技术路线

  • ​实验设计​​:病例对照研究(35例ME/CFS vs. 35健康对照)。

  • ​关键技术​​:

    • EVs分离:聚合物沉淀法(商业试剂盒)。

    • EVs表征:纳米颗粒追踪分析(NTA)、透射电镜(TEM)、Western blot(标记物CD63/CD81等)。

    • 细胞因子检测:45-plex免疫分析法(Luminex平台)。

  • ​创新方法​​:首次将EVs与细胞因子网络关联分析应用于ME/CFS研究。

4. 结果与数据解析

  • ​主要发现​​:

​                   EVs数量​​:ME/CFS患者30-130 nm EVs显著增多(NTA数据),但总EVs平均大小无差异。

                   ​​细胞因子浓度​​:血浆和EVs中单个细胞因子水平无组间差异(可能受样本量限制)。

                   ​​网络异常​​:

      • 血浆中ME/CFS组细胞因子互作更多,且存在13种负相关(如IP-10驱动的负调控),而对照组无负相关。

      • EVs中对照组互作数量反超ME/CFS组(2.5倍),提示ME/CFS的EVs细胞因子调控网络紊乱。

  • ​数据验证​​:通过NTA、TEM、Western blot验证EVs的物理和分子特征。

  • ​局限性​​:样本量较小(n=19用于细胞因子分析),未进行功能实验验证EVs的生物学效应。

5. 讨论与机制阐释

  • ​机制解释​​:异常EVs可能通过携带特定细胞因子(如IP-10)破坏免疫稳态,导致ME/CFS症状(如疲劳、认知障碍)。

  • ​与既往研究对比​​:支持ME/CFS存在慢性低度炎症的观点,但首次揭示EVs的调控网络特异性异常。

  • ​未解决问题​​:EVs来源(特定细胞类型?)、因果性(EVs异常是病因还是结果?)需进一步研究。

6. 创新点与学术贡献

  • ​理论创新​​:提出EVs介导的细胞因子网络失调可能是ME/CFS的新机制。

  • ​技术贡献​​:建立ME/CFS中EVs-细胞因子关联的分析框架,可推广至其他免疫相关疾病。

  • ​实际价值​​:为开发ME/CFS的EVs生物标志物或靶向治疗提供基础。

​总结​​:该研究通过多组学方法揭示了ME/CFS中EVs与细胞因子网络的独特关联,为理解免疫失调机制开辟了新视角,但需更大样本和功能实验验证。

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