Suppr超能文献

从麻疯树(Jatropha curcas L.)根部分离得到具有抗炎活性的新的土木香二萜类化合物。

New lathyrane diterpenoids with anti-inflammatory activity isolated from the roots of Jatropha curcas L.

机构信息

School of Medicine, Huaqiao University, Quanzhou, 362021, PR China.

College of Oceanology and Food Science, Quanzhou Normal University, Quanzhou, 362000, PR China.

出版信息

J Ethnopharmacol. 2021 Mar 25;268:113673. doi: 10.1016/j.jep.2020.113673. Epub 2020 Dec 7.

Abstract

ETHNOPHARMACOLOGICAL RELEVANCE

Jatropha curcas L. (Euphorbiaceae), as a drought resistant shrub mainly cultivated in tropical and subtropical areas worldwide, is widely used as traditional medicine to cure arthritis, dysentery, abscess and pneumonia in Asian, African and South American folklores. The methanolic extracts of the roots have been revealed the anti-inflammatory activity in vivo and vitro.

AIM OF STUDY

This research aimed to provide promising anti-inflammatory candidates from the roots of J. curcas. In addition, RNA-Seq was conducted to give targeted genes involved in the anti-inflammatory action.

MATERIALS AND METHODS

The diterpenoids were isolated from the CHCl fraction of the methanolic extract from the roots of J. curcas by column chromatography (CC): silica gel, Sephadex LH-20, ODS, semi-preparative reversed-phase high-performance liquid chromatography (HPLC). The structures were identified based on HR-ESI-MS and 1D, 2D-NMR spectroscopic analysis. Their anti-inflammatory effects were tested on lipopolysaccharide (LPS, 500 ng/mL)-stimulated murine RAW264.7 macrophages. Furthermore, we conducted transcriptome-wide RNA sequencing to profile gene expression alterations in LPS-induced RAW264.7 cells upon treatment with jatrocurcasenone I (4) and analyzed the underlying genes targeted by this compound.

RESULTS

Six diterpenoids were obtained from J. curcas, and four of them were identified to be new lathyrane diterpenoids: jatrocurcasenones F-I (1-4). Compounds 3 and 4 exhibited potent inhibitory activities against LPS-induced nitric oxide (NO) production in RAW264.7 cells with IC values of 11.28 μM and 7.71 μM, respectively. Western blotting analysis showed that the expression of inducible nitric oxide synthase (iNOS) and cyclooxygenase-2 (COX-2) were suppressed with the supplementation of 3 and 4. The results of RNA-seq showed that 4 (20 μM) exhibited regulation on the 587 differentially expressed genes (DEGs) induced by LPS (500 ng/mL). Transcriptome-wide RNA sequencing indicated that the protective activity of 4 supplementation was most likely driven by modulating expression levels of IL-1α, IL-1β, IL-1f6, IL-6, IL-1rn, IL-27, Ccl2, Ccl5, Ccl7, Ccl9, Ccl22, Cxcl10, Tnfsf12, Tnfsf15, Lta, Trim25, Bcl2a1a, Dusp1, Dusp2, Ptgs2, Edn1 and Nr4a1.

CONCLUSIONS

This study offered four new lathyrane diterpenoids, of them, jatrocurcasenone I (4) showed significant anti-inflammatory activity. RNA-Seq suggested that jatrocurcasenone I (4) could be a candidate drug for the prevention inflammation-mediated diseases by modulating 24 candidate DEGs.

摘要

民族药理学相关性

麻疯树(大戟科),一种主要生长在全球热带和亚热带地区的抗旱灌木,被广泛用作传统药物,用于治疗亚洲、非洲和南美洲民间传说中的关节炎、痢疾、脓肿和肺炎。根的甲醇提取物已显示出体内和体外的抗炎活性。

研究目的

本研究旨在从麻疯树根中寻找有希望的抗炎候选物。此外,还进行了 RNA-Seq,以提供参与抗炎作用的靶向基因。

材料和方法

通过柱层析(CC):硅胶、葡聚糖 LH-20、ODS、半制备反相高效液相色谱(HPLC),从麻疯树根的甲醇提取物的 CHCl 部分分离出二萜类化合物。根据高分辨电喷雾电离质谱(HR-ESI-MS)和 1D、2D-NMR 波谱分析鉴定结构。在脂多糖(LPS,500ng/mL)刺激的鼠 RAW264.7 巨噬细胞上测试它们的抗炎作用。此外,我们进行了转录组范围的 RNA 测序,以分析 LPS 诱导的 RAW264.7 细胞中基因表达的变化,并分析该化合物靶向的潜在基因。

结果

从麻疯树中得到了 6 种二萜类化合物,其中 4 种被鉴定为新的拉坦烷二萜类化合物:麻疯树酮 F-I(1-4)。化合物 3 和 4 对 LPS 诱导的 RAW264.7 细胞中一氧化氮(NO)的产生具有很强的抑制活性,IC 值分别为 11.28μM 和 7.71μM。Western blot 分析表明,3 和 4 的补充抑制了诱导型一氧化氮合酶(iNOS)和环氧化酶-2(COX-2)的表达。RNA-seq 的结果表明,4(20μM)对 LPS(500ng/mL)诱导的 587 个差异表达基因(DEGs)表现出调节作用。转录组范围的 RNA 测序表明,4 补充的保护活性很可能是通过调节 IL-1α、IL-1β、IL-1f6、IL-6、IL-1rn、IL-27、Ccl2、Ccl5、Ccl7、Ccl9、Ccl22、Cxcl10、Tnfsf12、Tnfsf15、Lta、Trim25、Bcl2a1a、Dusp1、Dusp2、Ptgs2、Edn1 和 Nr4a1 的表达水平来驱动的。

结论

本研究提供了 4 种新的拉坦烷二萜类化合物,其中麻疯树酮 I(4)表现出显著的抗炎活性。RNA-Seq 表明,麻疯树酮 I(4)可以通过调节 24 个候选 DEG 成为预防炎症介导疾病的候选药物。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验