Quantitative proteomics analysis of Fructus Psoraleae-induced hepatotoxicity in rats

• Published in: Chinese journal of natural medicines 2020-02, Vol.18 (2), p.123-137
• Main Authors: LI, Zhi-Jian, Abudumijiti, Abulizi, XU, Deng-Qiu, Youlidouzi, Maimaiti, Silafu, Aibai, JIANG, Zhen-Zhou, ZHAO, Guo-Lin, WANG, Tao, Aiximujiang, Refukati, Zulikaer, Maimaiti, Yiliyaer, Simayi, CAO, Chun-Yu, ZHANG, Lu-Yong
• Format: Article
• Language: English
• Subjects: Fructus Psoraleae; FXR; Hepatotoxicity; iTRAQ Analysis; MRP3
• ISSN: 1875-5364; 1875-5364
• DOI: 10.1016/S1875-5364(20)30013-3

Fructus Psoraleae, which is commonly consumed for the treatment of osteoporosis, bone fracture, and leucoderma, induces liver injury. This study investigated the pathogenesis of the ethanol extract of Fructus Psoraleae (EEFP)-induced liver injury in rats. EEFP (1.35, 1.80, and 2.25 g·kg−1) was administrated to Sprague Dawley (SD) rats for 30 d. We measured liver chemistries, histopathology, and quantitative isobaric tags for relative and absolute quantitation (iTRAQ)-based protein profiling. EEFP demonstrated parameters suggestive of liver injury with changes in bile secretion, bile flow rate, and liver histopathology. iTRAQ analysis showed that a total of 4042 proteins were expressed in liver tissues of EEFP-treated and untreated rats. Among these proteins, 81 were upregulated and 32 were downregulated in the treatment group. KEGG pathway analysis showed that the drug metabolic pathways of cytochrome P450, glutathione metabolism, glycerolipid metabolism, and bile secretion were enriched with differentially expressed proteins. The expression of key proteins related to the farnesoid X receptor (FXR), i.e., the peroxisome proliferators-activated receptor alpha (PPAR-α), were downregulated, and multidrug resistance-associated protein 3 (MRP3) was upregulated in the EEFP-treated rats. Our results provide evidence that EEFP may induce hepatotoxicity through various pathways. Furthermore, our study demonstrates changes in protein regulation using iTRAQ quantitative proteomics analysis.