Construction of In Vivo Fluorescent Imaging of Echinococcus granulosus in a Mouse Model

• Published in: Korean journal of parasitology Vol. 54; no. 3; pp. 291 - 299
• Main Authors: Wang, Sibo, Yang, Tao, Zhang, Xuyong, Xia, Jie, Guo, Jun, Wang, Xiaoyi, Hou, Jixue, Zhang, Hongwei, Chen, Xueling, Wu, Xiangwei
• Format: Journal Article
• Language: English
• Published: Korea (South) 대한기생충학열대의학회 01.06.2016; The Korean Society for Parasitology and Tropical Medicine
• Subjects: Albendazole - therapeutic use; Animals; Anthelmintics - therapeutic use; Disease Models, Animal; Drug Monitoring - methods; Echinococcosis - diagnostic imaging; Echinococcosis - drug therapy; Echinococcosis - parasitology; Echinococcosis - pathology; Echinococcus granulosus - drug effects; Echinococcus granulosus - growth & development; Liver - diagnostic imaging; Liver - parasitology; Liver - pathology; Male; Mice; Optical Imaging - methods; Original; Staining and Labeling - methods; Whole Body Imaging - methods; in vivo; fluorescent imaging; noninvasive; mouse model; protoscolex; Echinococcus granulosus
• ISSN: 0023-4001; 1738-0006
• DOI: 10.3347/kjp.2016.54.3.291

Human hydatid disease (cystic echinococcosis, CE) is a chronic parasitic infection caused by the larval stage of the cestode Echinococcus granulosus. As the disease mainly affects the liver, approximately 70% of all identified CE cases are detected in this organ. Optical molecular imaging (OMI), a noninvasive imaging technique, has never been used in vivo with the specific molecular markers of CE. Thus, we aimed to construct an in vivo fluorescent imaging mouse model of CE to locate and quantify the presence of the parasites within the liver noninvasively. Drug-treated protoscolices were monitored after marking by JC-1 dye in in vitro and in vivo studies. This work describes for the first time the successful construction of an in vivo model of E. granulosus in a small living experimental animal to achieve dynamic monitoring and observation of multiple time points of the infection course. Using this model, we quantified and analyzed labeled protoscolices based on the intensities of their red and green fluorescence. Interestingly, the ratio of red to green fluorescence intensity not only revealed the location of protoscolices but also determined the viability of the parasites in vivo and in vivo tests. The noninvasive imaging model proposed in this work will be further studied for long-term detection and observation and may potentially be widely utilized in susceptibility testing and therapeutic effect evaluation.