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用于评估疾病严重程度的新冠病毒血液微凝块的3D全息断层扫描成像

3D Holo-tomographic Mapping of COVID-19 Microclots in Blood to Assess Disease Severity.

作者信息

Bergaglio Talia, Synhaivska Olena, Nirmalraj Peter Niraj

机构信息

Transport at Nanoscale Interfaces Laboratory, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf CH-8600, Switzerland.

Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern CH-3012, Switzerland.

出版信息

Chem Biomed Imaging. 2024 Jan 10;2(3):194-204. doi: 10.1021/cbmi.3c00126. eCollection 2024 Mar 25.

Abstract

The coronavirus disease 2019 (COVID-19) has impacted health globally. Cumulative evidence points to long-term effects of COVID-19 such as cardiovascular and cognitive disorders, diagnosed in patients even after the recovery period. In particular, micrometer-sized blood clots and hyperactivated platelets have been identified as potential indicators of long COVID. Here, we resolve microclot structures in the plasma of patients with different subphenotypes of COVID-19 in a label-free manner, using 3D digital holo-tomographic microscopy (DHTM). Based on 3D refractive index (RI) tomograms, the size, dry mass, and prevalence of microclot composites were quantified and then parametrically differentiated from fibrin-rich microclots and platelet aggregates in the plasma of COVID-19 patients. Importantly, fewer microclots and platelet aggregates were detected in the plasma of healthy controls compared to COVID-19 patients. Our imaging and analysis workflow is built around a commercially available DHT microscope capable of operation in clinical settings with a 2 h time period from sample preparation and data acquisition to results.

摘要

2019冠状病毒病(COVID-19)已对全球健康产生影响。越来越多的证据表明,COVID-19会产生长期影响,如心血管和认知障碍,即使在恢复期后,患者仍会被诊断出这些问题。特别是,微米级的血凝块和过度活化的血小板已被确定为长期新冠的潜在指标。在这里,我们使用3D数字全息断层显微镜(DHTM),以无标记方式解析了不同亚表型COVID-19患者血浆中的微凝块结构。基于3D折射率(RI)断层图像,对微凝块复合物的大小、干质量和患病率进行了量化,然后对COVID-19患者血浆中富含纤维蛋白的微凝块和血小板聚集体进行了参数区分。重要的是,与COVID-19患者相比,在健康对照者的血浆中检测到的微凝块和血小板聚集体更少。我们的成像和分析工作流程围绕一台商用DHT显微镜构建,该显微镜能够在临床环境中运行,从样品制备、数据采集到得出结果只需2小时。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/edbe/11503935/dd2edfb4288f/im3c00126_0001.jpg

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