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对肌萎缩侧索硬化症细胞外囊泡的蛋白质组学见解,用于罗匹尼罗的治疗潜力及生物标志物发现。

Proteomic insights into extracellular vesicles in ALS for therapeutic potential of Ropinirole and biomarker discovery.

作者信息

Kato Chris, Ueda Koji, Morimoto Satoru, Takahashi Shinichi, Nakamura Shiho, Ozawa Fumiko, Ito Daisuke, Daté Yugaku, Okada Kensuke, Kobayashi Naoki, Nakahara Jin, Okano Hideyuki

机构信息

Keio University Regenerative Medicine Research Center, Kanagawa, 210-0821, Japan.

Department of Physiology, Keio University School of Medicine, Tokyo, 160-8582, Japan.

出版信息

Inflamm Regen. 2024 Jul 12;44(1):32. doi: 10.1186/s41232-024-00346-1.

Abstract

BACKGROUND

Extracellular vesicles (EVs) hold the potential for elucidating the pathogenesis of amyotrophic lateral sclerosis (ALS) and serve as biomarkers. Notably, the comparative and longitudinal alterations in the protein profiles of EVs in serum (sEVs) and cerebrospinal fluid (CSF; cEVs) of sporadic ALS (SALS) patients remain uncharted. Ropinirole hydrochloride (ROPI; dopamine D2 receptor [D2R] agonist), a new anti-ALS drug candidate identified through induced pluripotent stem cell (iPSC)-based drug discovery, has been suggested to inhibit ALS disease progression in the Ropinirole Hydrochloride Remedy for Amyotrophic Lateral Sclerosis (ROPALS) trial, but its mechanism of action is not well understood. Therefore, we tried to reveal longitudinal changes with disease progression and the effects of ROPI on protein profiles of EVs.

METHODS

We collected serum and CSF at fixed intervals from ten controls and from 20 SALS patients participating in the ROPALS trial. Comprehensive proteomic analysis of EVs, extracted from these samples, was conducted using liquid chromatography/mass spectrometer (LC/MS). Furthermore, we generated iPSC-derived astrocytes (iPasts) and performed RNA sequencing on astrocytes with or without ROPI treatment.

RESULTS

The findings revealed notable disparities yet high congruity in sEVs and cEVs protein profiles concerning disease status, time and ROPI administration. In SALS, both sEVs and cEVs presented elevated levels of inflammation-related proteins but reduced levels associated with unfolded protein response (UPR). These results mirrored the longitudinal changes after disease onset and correlated with the revised ALS Functional Rating Scale (ALSFRS-R) at sampling time, suggesting a link to the onset and progression of SALS. ROPI appeared to counteract these changes, attenuating inflammation-related protein levels and boosting those tied to UPR in SALS, proposing an anti-ALS impact on EV protein profiles. Reverse translational research using iPasts indicated that these changes may partly reflect the DRD2-dependent neuroinflammatory inhibitory effects of ROPI. We have also identified biomarkers that predict diagnosis and disease progression by machine learning-driven biomarker search.

CONCLUSIONS

Despite the limited sample size, this study pioneers in reporting time-series proteomic alterations in serum and CSF EVs from SALS patients, offering comprehensive insights into SALS pathogenesis, ROPI-induced changes, and potential prognostic and diagnostic biomarkers.

摘要

背景

细胞外囊泡(EVs)在阐明肌萎缩侧索硬化症(ALS)发病机制及作为生物标志物方面具有潜力。值得注意的是,散发性ALS(SALS)患者血清(sEVs)和脑脊液(CSF;cEVs)中EVs蛋白质谱的比较及纵向变化仍不清楚。盐酸罗匹尼罗(ROPI;多巴胺D2受体[D2R]激动剂)是一种通过诱导多能干细胞(iPSC)药物发现鉴定出的新型抗ALS候选药物,在盐酸罗匹尼罗治疗肌萎缩侧索硬化症(ROPALS)试验中显示可抑制ALS疾病进展,但其作用机制尚不完全清楚。因此,我们试图揭示疾病进展过程中的纵向变化以及ROPI对EVs蛋白质谱的影响。

方法

我们从10名对照者和20名参与ROPALS试验的SALS患者中定期收集血清和脑脊液。使用液相色谱/质谱仪(LC/MS)对从这些样本中提取的EVs进行全面蛋白质组学分析。此外,我们生成了iPSC衍生的星形胶质细胞(iPasts),并对接受或未接受ROPI治疗的星形胶质细胞进行了RNA测序。

结果

研究结果显示,sEVs和cEVs蛋白质谱在疾病状态、时间和ROPI给药方面存在显著差异但高度一致。在SALS中,sEVs和cEVs中与炎症相关的蛋白质水平均升高,但与未折叠蛋白反应(UPR)相关的蛋白质水平降低。这些结果反映了疾病发作后的纵向变化,并与采样时的修订版ALS功能评定量表(ALSFRS-R)相关,提示与SALS的发病和进展有关。ROPI似乎抵消了这些变化,降低了SALS中与炎症相关的蛋白质水平,并提高了与UPR相关的蛋白质水平,表明其对EV蛋白质谱具有抗ALS作用。使用iPasts进行的反向转化研究表明,这些变化可能部分反映了ROPI对DRD2依赖性神经炎症的抑制作用。我们还通过机器学习驱动的生物标志物搜索确定了预测诊断和疾病进展的生物标志物。

结论

尽管样本量有限,但本研究率先报道了SALS患者血清和脑脊液EVs的时间序列蛋白质组学变化,为SALS发病机制、ROPI诱导的变化以及潜在的预后和诊断生物标志物提供了全面的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ee6/11241965/3bfa6d39db6e/41232_2024_346_Fig1_HTML.jpg

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