Identification of anti-fibrotic compounds from Piper longum L via hollow fiber cell fishing and high-performance liquid chromatography with in vivo and in vitro validation.

IF 5.7 3区 医学 Q1 INTEGRATIVE & COMPLEMENTARY MEDICINE
Jie Tian, Nan Zhou, Heng Wang, Wanghui Jing, Guoping Zheng
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引用次数: 0

Abstract

Background: Traditional Chinese medicine (TCM) is an important source of bioactive compounds, hence enjoying a wide application in clinical treatment, while its pharmacodynamic material basis remains difficult to elucidate as it has a complex chemical composition. Piper longum L is a commonly used herbal medicine in prescriptions for chronic kidney disease (CKD), yet its key active ingredients responsible for anti-renal fibrosis effects remain unclear. This study aimed to establish a novel and efficient strategy for the screening and identification of anti-fibrotic compounds from Piper longum L.

Methods: HK-2 cells with fibrotic features induced by transforming growth factor-β (TGF-β) were used to develop a hollow fiber cell fishing coupled with high-performance liquid chromatography (HFCF-HPLC) mode. This model was integrated with network pharmacology and molecular biology techniques to screen and validate active anti-fibrotic compounds in Piper longum L. The in vivo efficacy of the identified compounds was further evaluated by a unilateral ischemia-reperfusion injury (uIRI) model with delayed contralateral nephrectomy in C57BL/6 J mice. Serum creatinine (SCr) and blood urea nitrogen (BUN) levels were taken into account to assess the renal function, while immunohistochemistry and western blot served for analyzing the fibrosis markers α-SMA and collagen-I.

Results: HFCF-HPLC screening identified two key active compounds from Piper longum L: piperlongumine (PIPA) and piperlonguminine (PLG). Among them, PIPA exhibited the strongest inhibitory effect on the expression of fibrosis markers in vitro. In vivo studies demonstrated that PIPA significantly reduced renal fibrosis in the uIRI model, as indicated by lower SCr and BUN levels, improved renal histopathology, and reduced extracellular matrix deposition.

Conclusions: A novel HFCF-HPLC model was successfully established to screen active compounds from TCM against renal fibrosis. PIPA was identified as a promising anti-fibrotic agent from Piper longum L, demonstrating significant renoprotective effects in in vitro and in vivo models. This work advances the modernization of herbal medicine research by offering a integrated strategy for identifying bioactive TCM components.

利用中空纤维细胞捕捞和高效液相色谱法鉴定长叶胡椒抗纤维化化合物,并进行体内和体外验证。
背景:中药是生物活性化合物的重要来源,在临床治疗中有着广泛的应用,但由于其化学成分复杂,其药效学物质基础一直难以阐明。长叶胡椒是慢性肾脏疾病(CKD)处方中常用的草药,但其抗肾纤维化作用的关键活性成分尚不清楚。方法:以转化生长因子-β (TGF-β)诱导的具有纤维化特征的HK-2细胞为研究对象,采用高效液相色谱(HFCF-HPLC)模式建立中空纤维细胞捞取法。该模型结合网络药理学和分子生物学技术筛选和验证了长叶椒中活性抗纤维化化合物,并通过C57BL/6 J小鼠延迟对侧肾切除术单侧缺血再灌注损伤(uIRI)模型进一步评估了鉴定化合物的体内疗效。采用血清肌酐(SCr)和血尿素氮(BUN)水平评估肾功能,免疫组织化学和western blot分析纤维化标志物α-SMA和胶原- i。结果:hff - hplc筛选鉴定出长叶胡椒中两个关键活性成分:胡椒隆明(PIPA)和胡椒隆明(PLG)。其中,PIPA对体外纤维化标志物表达的抑制作用最强。体内研究表明,PIPA显著减少了uIRI模型的肾纤维化,表现为SCr和BUN水平降低,肾脏组织病理学改善,细胞外基质沉积减少。结论:建立了抗肾纤维化中药有效成分筛选模型。PIPA是一种很有前途的抗纤维化药物,在体外和体内模型中显示出明显的肾保护作用。这项工作通过提供鉴定生物活性中药成分的综合策略,推进了草药研究的现代化。
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来源期刊
Chinese Medicine
Chinese Medicine INTEGRATIVE & COMPLEMENTARY MEDICINE-PHARMACOLOGY & PHARMACY
CiteScore
7.90
自引率
4.10%
发文量
133
审稿时长
31 weeks
期刊介绍: Chinese Medicine is an open access, online journal publishing evidence-based, scientifically justified, and ethical research into all aspects of Chinese medicine. Areas of interest include recent advances in herbal medicine, clinical nutrition, clinical diagnosis, acupuncture, pharmaceutics, biomedical sciences, epidemiology, education, informatics, sociology, and psychology that are relevant and significant to Chinese medicine. Examples of research approaches include biomedical experimentation, high-throughput technology, clinical trials, systematic reviews, meta-analysis, sampled surveys, simulation, data curation, statistics, omics, translational medicine, and integrative methodologies. Chinese Medicine is a credible channel to communicate unbiased scientific data, information, and knowledge in Chinese medicine among researchers, clinicians, academics, and students in Chinese medicine and other scientific disciplines of medicine.
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