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Bioresources and Bioprocessing · 2017 ·Vol. 4 ·期 1 ·1-8 · IF 0

Ionic liquid-based enzyme-assisted extraction of chlorogenic acid from Flos Lonicera Japonicae

Sun Yang,Ding Song,Huang He,Hu Yi

Background In recent years, ionic liquids and enzymes have been widely used in the separation and extraction processes of natural products. Chlorogenic acid (CGA) has important biological and pharmacological activities. It is significant to develop a green and efficient method to extract GCA from Flos Lonicera japonica (FLJ) by integrating the advantages of the ionic liquids and enzymes. Results The optimal type of enzyme and ionic liquid was screened. Pectinase in [C6mim] Br aqueous phase was demonstrated to be an ideal combination. The parameters including extraction time, extraction temperature, pH, enzyme amount, and IL concentration were optimized systematically. Scanning electronic microscopy of FLJ samples demonstrated that pectinase and ionic liquid disposal both obviously facilitated the extraction process by destroying the structure of cell wall. Circular dichroism spectroscopy showed that ionic liquid enhanced the activity of the pectinase by altering its secondary structure. Conclusions Compared with previous reported methods, ionic liquid-based enzyme-assisted extraction of GCA from FLJ was proved to be efficient and practical, offering a higher yield in a shorter time. A novel process was proposed for the extraction of active component from natural resources.

研究领域: 植物化学 · 天然产物提取 · 生物技术
✓ 已验证 DOI PubMed
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BRAIN RESEARCH BULLETIN · 2023 · IF 3.8

Antidepressant effects of 70% ethanolic extract of Lonicerae japonicae flos and it contained chlorogenic acid via upregulation of BDNF-TrkB pathway in the hippocampus of mice

Lingyu Qin,Junming Wang,Xiaohui Wu,Lingling Song,Yueyue Zhang,Mingzhu Gong,Yanmei Wang,Bingyin Li

ABSTRACT Lonicera japonica flos (LJF) is a common clinical herb with outstanding medicinal and nutritional value. This study aimed to evaluate the antidepressant effects of LJF’s active extract and compound chlorogenic acid (CGA) around BDNF-TrkB pathway. The results showed that LJF extracts and CGA had significant antidepressant effects, and the antidepressant effects of different extracts of LJF was highly positively correlated with the content of CGA (FST, r = 0.998; TST, r = 0.934). Moreover, LJF-70% ethanolic extract and CGA improved CUMS induced depressive behavior, upregulated protein expression levels of BDNF and p -TrkB in the hippocampus, restored the damage of hippocampal neurons, and protect liver from damage. In summary, this study demonstrated for the first time that LJF-70% ethanolic extract was the active extract of LJF antidepressant and CGA was its active antidepressant compound, and the antidepressant mechanism mainly involved the upregulation of BDNF-TrkB signaling pathway in the hippocampus of mice.

CAS / MDL: 7664-38-2
研究领域: 药理学 · 神经科学 · 中药学
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AMERICAN JOURNAL OF CHINESE MEDICINE · 2019 ·Vol. 47 ·期 02 ·351-367 · IF 3.51

Lonicera japonica Attenuates Carbon Tetrachloride-Induced Liver Fibrosis in Mice: Molecular Mechanisms of Action

Hui Miao,Yi Zhang,Zhenlin Huang,Bin Lu,Lili Ji

Liver fibrosis is a worldwide clinical issue that generally causes hepatic cirrhosis. Lonicerae Japonicae Flos (dried flower buds of Lonicera japonica Thunb) is a traditional heat-clearing and detoxifying herbal medicine in China. This study aims to observe the protection of the water extract of Lonicerae Japonicae Flos (FL) from carbon tetrachloride (CCl 4 )-induced liver fibrosis in mice. Liver fibrosis was induced in mice by intraperitoneal injection of 2 ml/kg CCl 4 twice a week for 4 weeks. FL’s attenuation of CCl 4 -induced liver fibrosis in mice was evidenced by the results of Masson’s trichrome and Sirius red staining, liver hydroxyproline content and serum amount of collagen IV. FL reduced hepatic stellate cells (HSCs) activation and reversed the epithelial-mesenchymal transition (EMT) process in mice treated with CCl 4 . FL also alleviated liver oxidative stress injury and enhanced the activation of nuclear factor erythroid 2-related factor 2 (Nrf2) anti-oxidant signaling pathway in mice treated with CCl 4 . Additionally, the main phenolic acids in FL including chlorogenic acid (CGA) and caffeic acid (CA) both reduced HSCs activation in vitro . In summary, FL attenuates CCl 4 -induced liver fibrosis in mice by inhibiting HSCs activation, reversing EMT and reducing liver oxidative stress injury via inducing Nrf2 activation. CGA may be the main active compound contributing to the antifibrotic activity of FL.

研究领域: 药理学 · 肝脏病学 · 分子生物学
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MOLECULES · 2024 ·Vol. 29 ·期 18 ·4374 · IF 4.2

A Diboronic Acid-Based Fluorescent Sensor Array for Rapid Identification of Lonicerae Japonicae Flos and Lonicerae Flos

Ying Bian,Chenqing Xiang,Yi Xu,Rongping Zhu,Shuanglin Qin,Zhijun Zhang

Lonicerae japonicae flos (LJF) and Lonicerae flos (LF) are traditional Chinese herbs that are commonly used and widely known for their medicinal properties and edibility. Although they may have a similar appearance and vary slightly in chemical composition, their effectiveness as medicine and their use in clinical settings vary significantly, making them unsuitable for substitution. In this study, a novel 2 × 3 six-channel fluorescent sensor array is proposed that uses machine learning algorithms in combination with the indicator displacement assay (IDA) method to quickly identify LJF and LF. This array comprises two coumarin-based fluorescent indicators (ES and MS) and three diboronic acid-substituted 4,4′-bipyridinium cation quenchers (Q1–Q3), forming six dynamic complexes (C1–C6). When these complexes react with the ortho-dihydroxy groups of phenolic acid compounds in LJF and LF, they release different fluorescent indicators, which in turn causes distinct fluorescence recovery. By optimizing eight machine learning algorithms, the model achieved 100% and 98.21% accuracy rates in the testing set and the cross-validation predictions, respectively, in distinguishing between LJF and LF using Linear Discriminant Analysis (LDA). The integration of machine learning with this fluorescent sensor array shows great potential in analyzing and detecting foods and pharmaceuticals that contain polyphenols.

CAS / MDL: 553-26-4
研究领域: 分析化学 · 药学 · 中药学 · 机器学习
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