Proteomic profiling of spleen in rat infected with clonorchissinensis using liquid chromatography tandem mass spectrometry analysis.
Su Han, Jie Wan, Xiaoli Zhang, Jian Ding, Xiang Li, Yang Cheng, Yifan Sun, Zhenli Xu, Jianlin Wu, Rui Chen
Author Information
Su Han: Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China; Department of Parasitology, Harbin Medical University, Harbin, P. R. China.; Affiliated Hospital of Jiangnan University, Wuxi, China.
Jie Wan: Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China.
Xiaoli Zhang: Department of Parasitology, Harbin Medical University, Harbin, P. R. China.
Jian Ding: Department of Parasitology, Harbin Medical University, Harbin, P. R. China.
Xiang Li: Department of Parasitology, Harbin Medical University, Harbin, P. R. China.
Yang Cheng: Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China.
Yifan Sun: Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China.
Zhenli Xu: Department of Public Health and Preventive Medicine, Wuxi School of Medicine, Jiangnan University, Wuxi, China.
Jianlin Wu: Hospital of Guangxi medical university, nanning, China.. Electronic address: wjl4954@163.com.
Clonorchiasis, caused by Clonorchissinensis, remains a significant yet neglected tropical disease with substantial global health implications. As the largest immune organ in mammals, the spleen plays a crucial role in defending against C. sinensis infection; however, the molecular mechanisms underlying spleen pathogenesis during such infections are poorly understood. To address this gap, quantitative Tandem Mass Tags (TMT) liquid chromatography-tandem mass spectrometry was employed to profile protein changes in the spleens of rats infected with C. sinensis. This analysis identified 40,664 peptides from 6,817 proteins, including 371 and 464 differentially expressed proteins at 4 and 8 weeks post-infection (wpi) compared to the control groups, respectively. Clustering analysis revealed distinct proteomic profiles among the groups, while gene ontology analysis associated the differentially expressed proteins with biological binding activities and metabolic processes. KEGG analysis revealed significant enrichment of immune-related and metabolic pathways, including AMPK, IL-17, and p53 signaling pathways. These findings reveal dynamic alterations in spleen proteins during C. sinensis infection, offering valuable insights into the biomarker candidates for early diagnosis. Future studies are warranted to validate these potential biomarkers and explore their utility for early diagnosis of clonorchiasis.
