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利用源自患者的细胞外囊泡在秀丽隐杆线虫中对肌肉萎缩症进行跨物种建模。

Cross-species modeling of muscular dystrophy in Caenorhabditis elegans using patient-derived extracellular vesicles.

机构信息

The Mina & Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan 52900, Israel.

The Mina and Everard Goodman Faculty of Life Sciences and Institute of Nanotechnology and Advanced Materials (BINA), Bar-Ilan University, Ramat-Gan 52900, Israel.

出版信息

Dis Model Mech. 2024 Mar 1;17(3). doi: 10.1242/dmm.050412. Epub 2024 Apr 2.

Abstract

Reliable disease models are critical for medicine advancement. Here, we established a versatile human disease model system using patient-derived extracellular vesicles (EVs), which transfer a pathology-inducing cargo from a patient to a recipient naïve model organism. As a proof of principle, we applied EVs from the serum of patients with muscular dystrophy to Caenorhabditis elegans and demonstrated their capability to induce a spectrum of muscle pathologies, including lifespan shortening and robust impairment of muscle organization and function. This demonstrates that patient-derived EVs can deliver disease-relevant pathologies between species and can be exploited for establishing novel and personalized models of human disease. Such models can potentially be used for disease diagnosis, prognosis, analyzing treatment responses, drug screening and identification of the disease-transmitting cargo of patient-derived EVs and their cellular targets. This system complements traditional genetic disease models and enables modeling of multifactorial diseases and of those not yet associated with specific genetic mutations.

摘要

可靠的疾病模型对于医学发展至关重要。在这里,我们使用患者来源的细胞外囊泡(EVs)建立了一种通用的人类疾病模型系统,该系统将致病物质从患者转移到受体原始模型生物中。作为原理验证,我们将来自肌营养不良症患者的血清中的 EVs 应用于秀丽隐杆线虫,并证明它们能够诱导一系列肌肉病理,包括寿命缩短以及肌肉组织和功能的严重损伤。这表明患者来源的 EVs 可以在物种间传递与疾病相关的病理,并可用于建立新型个性化的人类疾病模型。这些模型可用于疾病诊断、预后、分析治疗反应、药物筛选以及鉴定患者来源的 EVs 的疾病传播物质及其细胞靶标。该系统补充了传统的遗传疾病模型,使多因素疾病以及尚未与特定基因突变相关的疾病的建模成为可能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84d1/11007864/bd7e02f458ce/dmm-17-050412-g1.jpg

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