Cukurova University, Faculty of Pharmacy, Department of Analytical Chemistry, Adana, Turkey; Hacettepe University, Graduate School of Health Sciences, Department of One Health, Ankara, Turkey.
Hacettepe University, Faculty of Pharmacy, Department of Analytical Chemistry, Ankara, Turkey.
Vet Parasitol. 2024 Jun;328:110180. doi: 10.1016/j.vetpar.2024.110180. Epub 2024 Apr 5.
The Echinococcus granulosus sensu lato species complex is responsible for the neglected zoonotic disease known as cystic echinococcosis (CE). Humans and livestock are infected via fecal-oral transmission. CE remains prevalent in Western China, Central Asia, South America, Eastern Africa, and the Mediterranean. Approximately one million individuals worldwide are affected, influencing veterinary and public health, as well as social and economic matters. The infection causes slow-growing cysts, predominantly in the liver and lungs, but can also develop in other organs. The exact progression of these cysts is uncertain. This study aimed to understand the survival mechanisms of liver and lung CE cysts from cattle by determining their metabolite profiles through metabolomics and multivariate statistical analyses. Non-targeted metabolomic approaches were conducted using quadrupole-time-of-flight liquid chromatography/mass spectrometry (LC-QTOF-MS) to distinguish between liver and lung CE cysts. Data processing to extract the peaks on complex chromatograms was performed using XCMS. PCA and OPLS-DA plots obtained through multiple statistical analyses showed interactions of metabolites within and between groups. Metabolites such as glutathione, prostaglandin, folic acid, and cortisol that cause different immunological reactions have been identified both in liver and lung hydatid cysts, but in different ratios. Considering the differences in the metabolomic profiles of the liver and lung cysts determined in the present study will contribute research to enlighten the nature of the cyst and develop specific therapeutic strategies.
细粒棘球蚴（Echinococcus granulosus sensu lato）种复合体是导致被忽视的人畜共患疾病——包虫病（cystic echinococcosis，CE）的罪魁祸首。人类和牲畜通过粪-口途径感染。CE 在包括中国西部、中亚、南美洲、东非和地中海地区在内的许多地区仍很流行。全球约有 100 万人受到影响，这不仅对兽医和公共卫生产生影响，还对社会和经济产生影响。该感染会导致生长缓慢的包虫囊肿，主要在肝脏和肺部，但也可能在其他器官中发展。这些囊肿的确切进展情况尚不确定。本研究旨在通过代谢组学和多变量统计分析来确定其代谢物谱，从而了解牛的肝和肺包虫囊肿的生存机制。通过使用四极杆飞行时间液质联用仪（LC-QTOF-MS）进行非靶向代谢组学方法，对肝和肺包虫囊肿进行了区分。使用 XCMS 对复杂色谱上的峰进行数据处理，以提取峰。通过多项统计分析获得的 PCA 和 OPLS-DA 图谱显示了组内和组间代谢物的相互作用。已在肝和肺包虫囊肿中鉴定出谷胱甘肽、前列腺素、叶酸和皮质醇等引起不同免疫反应的代谢物，但比例不同。考虑到本研究中确定的肝和肺囊肿的代谢组学特征存在差异，这将有助于研究阐明囊肿的性质并开发特定的治疗策略。
