Whole-Slide Image Analysis of Human Pancreas Samples to Elucidate the Immunopathogenesis of Type 1 Diabetes Using the QuPath Software.
Whole-Slide Image Analysis of Human Pancreas Samples to Elucidate the Immunopathogenesis of Type 1 Diabetes Using the QuPath Software.
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DOI：
10.3389/fmolb.2021.689799
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发表时间：
2021
影响因子：
5
通讯作者：
Rodriguez-Calvo T
中科院分区：
文献类型：
--
作者：
Apaolaza PS;Petropoulou PI;Rodriguez-Calvo T
1 型糖尿病是一种慢性胰腺疾病，其特征是产生胰岛素的 β 细胞丧失。出于研究目的获取人类胰腺样本历来受到限制，从而限制了对动物模型的病理分析。然而，动物和人类之间的内在差异使得临床转化非常具有挑战性。最近，人类胰腺样本已可通过全球多个生物库获得，这为科学发现提供了众多机会。此外，新成像技术的使用不仅在疾病存在的情况下，而且在生理条件下解开了人类胰腺的许多谜团。如今，可以采用多重免疫荧光方案以及复杂的图像分析工具。在这里，我们描述了使用 QuPath（一种用于图像分析的开源平台）来研究人类胰腺样本。我们证明 QuPath 可以充分用于分析全玻片图像，目的是识别朗格汉斯岛并定义其细胞组成以及其他基本形态特征。此外，我们还发现 QuPath 可以识别外分泌组织和胰岛中的免疫细胞群，从而准确定位和量化胰腺中的免疫浸润。因此，我们提出了一种工具和分析流程，可以准确表征人类胰腺，从而能够研究 1 型糖尿病等胰腺疾病的解剖和生理变化。这些分析工具的标准化和实施对于了解疾病发病机制至关重要，并且可能为旨在保护β细胞功能和阻止免疫攻击引起的炎症的新疗法的设计提供信息。
Type 1 diabetes is a chronic disease of the pancreas characterized by the loss of insulin-producing beta cells. Access to human pancreas samples for research purposes has been historically limited, restricting pathological analyses to animal models. However, intrinsic differences between animals and humans have made clinical translation very challenging. Recently, human pancreas samples have become available through several biobanks worldwide, and this has opened numerous opportunities for scientific discovery. In addition, the use of new imaging technologies has unraveled many mysteries of the human pancreas not merely in the presence of disease, but also in physiological conditions. Nowadays, multiplex immunofluorescence protocols as well as sophisticated image analysis tools can be employed. Here, we described the use of QuPath—an open-source platform for image analysis—for the investigation of human pancreas samples. We demonstrate that QuPath can be adequately used to analyze whole-slide images with the aim of identifying the islets of Langerhans and define their cellular composition as well as other basic morphological characteristics. In addition, we show that QuPath can identify immune cell populations in the exocrine tissue and islets of Langerhans, accurately localizing and quantifying immune infiltrates in the pancreas. Therefore, we present a tool and analysis pipeline that allows for the accurate characterization of the human pancreas, enabling the study of the anatomical and physiological changes underlying pancreatic diseases such as type 1 diabetes. The standardization and implementation of these analysis tools is of critical importance to understand disease pathogenesis, and may be informative for the design of new therapies aimed at preserving beta cell function and halting the inflammation caused by the immune attack.
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影响因子：
4.6
作者：
Bankhead P;Loughrey MB;Fernández JA;Dombrowski Y;McArt DG;Dunne PD;McQuaid S;Gray RT;Murray LJ;Coleman HG;James JA;Salto-Tellez M;Hamilton PW
通讯作者：
Hamilton PW
影响因子：
13.6
作者：
Apaolaza PS;Balcacean D;Zapardiel-Gonzalo J;Nelson G;Lenchik N;Akhbari P;Gerling I;Richardson SJ;Rodriguez-Calvo T;nPOD-Virus Group
通讯作者：
nPOD-Virus Group
影响因子：
13.6
作者：
Bender C;Rodriguez-Calvo T;Amirian N;Coppieters KT;von Herrath MG
通讯作者：
von Herrath MG
影响因子：
2.2
作者：
Dolenšek J;Rupnik MS;Stožer A
通讯作者：
Stožer A
影响因子：
158.5
作者：
Herold, Kevan C.;Bundy, Brian N.;Greenbaum, Carla J.
通讯作者：
Greenbaum, Carla J.