目的 探究非諾貝特抗腎透明細胞癌（ccRCC）的作用及潛在機制。方法 通過在線數(shù)據(jù)庫Swiss Target Prediction、Pharm Mapper、Target Net、Gene Cards、OMIM、TTD等分析非諾貝特、ccRCC和凋亡相關靶點，STRING數(shù)據(jù)庫構建蛋白質-蛋白質相互作用（PPI）網(wǎng)絡并通過Cytoscape進行可視化，采用Metascapep平臺進行基因本體（GO）和京都基因與基因組百科全書（KEGG）富集分析，通過Auto Dock Tools和PyMOL軟件進行分子對接。采用CCK-8法檢測非諾貝特對人腎透明細胞癌786-O細胞株、人腎皮質近曲小管上皮細胞株（HK-2）活力的影響；劃痕實驗、克隆形成實驗和流式細胞術分別檢測非諾貝特（50、75、100 μmol· L^-1）對786-O細胞遷移、增殖、細胞周期的影響；Hoechst33258染色和流式細胞術檢測非諾貝特對786-O細胞凋亡的影響；Western bloting檢測非諾貝特對786-O細胞信號轉導與轉錄激活因子3（STAT3）、p-STAT3、B細胞淋巴瘤2蛋白（Bcl-2）、Bcl-2關聯(lián)X蛋白（Bax）、半胱氨酸天冬氨酸蛋白酶-3（Caspase-3）蛋白表達的影響。結果 網(wǎng)絡藥理學分析獲得非諾貝特、ccRCC和凋亡共同靶點108個，按照網(wǎng)絡拓撲分析結果中的度（degree）值篩選出主要核心靶點為STAT3、EGFR、MMP-9、PPARG、RELA、BCL2L；KEGG富集分析表明JAK2-STAT3信號通路在抗ccRCC中發(fā)揮重要作用；分子對接結果顯示非諾貝特與主要核心靶點STAT3、EGFR、MMP9、PPARG、RELA、BCL2L具有良好的結合活性。體外實驗結果表明，與對照組比較，非諾貝特呈濃度和時間相關性抑制786-O和HK-2細胞的生長（P＜0.01、0.001），且對786-O細胞活力的抑制作用強于HK-2細胞；可將786-O細胞周期阻滯在G₁期（P＜0.001）；顯著抑制786-O細胞集落形成、遷移能力（P＜0.01、0.001）；顯著誘導786-O細胞凋亡（P＜0.001）；顯著下調(diào)p-STAT和Bcl-2、上調(diào)Bax和Caspase-3蛋白表達（P＜0.05）。結論 非諾貝特可能通過下調(diào)STAT3抑制ccRCC細胞增殖遷移，誘導凋亡，進而發(fā)揮抗ccRCC的作用。

Objective To explore the role and potential mechanism of fenofibrate in the treatment of renal clear cell carcinoma (ccRCC). Methods The online databases such as Swiss Target Prediction, Pharm Mapper, Target Net, Gene Cards, OMIM, TTD were used to analyze the targets of fenofibrate, ccRCC and apoptosis. The STRING database was applied to construct a proteinprotein interaction (PPI) network and visualized using Cytoscape. Molecular function (GO) and pathway (KEGG) enrichment analysis was performed using the Metascapep platform, and Auto Dock Tools and PyMOL software were used for molecular docking. The CCK-8 method was used to detect the effect of fenofibrate on the viability of human renal clear cell carcinoma 786-O cell line and human renal cortical proximal tubular epithelial cell line (HK-2). Scratch assay, clone formation assay, and flow cytometry were used to detect the effects of fenofibrate (50, 75, and 100 μmol·L^-1) on the migration, proliferation, and cell cycle of 786-O cells, respectively. Hoechst33258 staining and flow cytometry were used to detect the effect of fenofibrate on the apoptosis level of 786-O cells. Western blotting was used to detect the effects of fenofibrate on the expression of signal transduction and transcription activator 3 (STAT3), p-STAT3, B-cell lymphoma 2 protein (Bcl-2), Bcl-2 associated X protein (Bax), and Caspase-3 protein in 786-O cells. Results Network pharmacology analysis identified 108 common targets of fenofibrate, ccRCC and apoptosis. Based on the degree values in network topology analysis, the main core targets were selected as STAT3, EGFR, MMP-9, PPARG, RELA and BCL2L. KEGG enrichment analysis revealed that the JAK2-STAT3 signaling pathway played an important role in anticcRCC. The molecular docking results showed that fenofibrate had good binding activity with the main core targets STAT3, EGFR, MMP9, PPARG, RELA and BCL2L. The in vitro experimental results showed that compared with the control group, fenofibrate inhibited the growth of 786-O and HK-2 cells in a concentration - and time-dependent manner (P <0.01, 0.001), and had a stronger inhibitory effect on the viability of 786-O cells than HK-2 cells, 786-O cell cycle could be arrested in G₁ phase (P <0.001), significantly inhibited the colony formation and migration ability of 786-O cells (P <0.01, 0.001), significantly induced apoptosis in 786-O cells (P <0.001), significantly downregulated p-STAT and Bcl-2, upregulated Bax and Caspase-3 protein expression (P <0.05). Conclusion Fenofibrate inhibited the proliferation and migration of ccRCC cells, induced apoptosis, and exerted anti-ccRCC effect by downregulation of STAT3.

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國家自然科學基金資助項目（82274159）;湖南省自然科學基金科藥聯(lián)合基金項目（2022JJ80088）;湖南省衛(wèi)生健康委員會重點指導課題（202213055529）;湖南省自然科學基金青年項目（2023JJ40485）;湖南省教育廳優(yōu)秀青年項目（23B0387、22B0355）;中藥粉體與創(chuàng)新藥物省部共建國家重點實驗室培育基地開放基金項目（23PTKF1016）;藥學一流學科開放基金項目（研究生創(chuàng)新性實驗計劃重點支持項目，2021YX07）;湖南省藥學一流學科資助項目