JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS
·
2017
·
IF 3.255
Yang Huang,Ying Feng,Guangyun Tang,Minyi Li,Tingting Zhang,Marianne Fillet,Jacques Crommen,Zhengjin Jiang
Flavonoids from plants always show a wide range of biological activities. In the present study, a rapid and highly efficient supercritical fluid chromatography (SFC) method was developed for the separation of 12 flavonoids. After careful optimization, the 12 flavonoids were baseline separated on a ZORBAX RX-SIL column using gradient elution. A 0.1% phosphoric acid solution in methanol was found to be the most suitable polar mobile phase component for the separation of flavonoids. From the viewpoint of retention and resolution, a backpressure of 200 bar and a temperature of 40 °C were shown to give the best results. Compared with a previously developed reverse phase liquid chromatography method, the SFC method could provide flavonoid separations that were about three times faster, while maintaining good peak shape and comparable peak efficiency. This SFC method was validated and applied to the analysis of five flavonoids (kaempferol, luteolin, quercetin, luteoloside, buddleoside) present in Chrysanthemum morifolium Ramat. from different cultivars (Chuju, Gongju, Hangju, Boju). The results indicated a good repeatability and sensitivity for the quantification of the five analytes with RSDs for overall precision lower than 3%. The limits of detection ranged from 0.73 to 2.34 μg/mL, while the limits of quantification were between 2.19 and 5.86 μg/mL. The method showed that SFC could be employed as a useful tool for the quality assessment of Traditional Chinese medicines (TCMs) containing flavonoids as active components.
研究领域:
分析化学
·
生药学
·
药物分析
✓ 已验证
产品关联
DOI
PubMed
高影响因子
Biomed Research International
·
2021
·
IF 3.411
Ling Kui,Min Li,Xiaonan Yang,Ling Yang,Qinghua Kong,Yunbing Pan,Zetan Xu,Shouling Wang,Dandan Mo,Yang Dong,Yao Liu,Jianhua Miao
Lung cancer is known as the leading cause which presents the highest fatality rate worldwide; non-small-cell lung cancer (NSCLC) is the most prevalent type of lung carcinoma with high severity and affects 80% of patients with lung malignancies. Up to now, the general treatment for NSCLC includes surgery, chemotherapy, and radiotherapy; however, some therapeutic drugs and approaches could cause side effects and weaken the immune system. The combination of conventional therapies and traditional Chinese medicine (TCM) significantly improves treatment efficacy in lung cancer. Therefore, it is necessary to investigate the chemical composition and underlying antitumor mechanisms of TCM, so as to get a better understanding of the potential natural ingredient for lung cancer treatment. In this study, we selected 78 TCM to treat NSCLC cell line (A549) and obtained 92 transcriptome data; differential expression and WGCNA were applied to screen the potential natural ingredient and target genes. The sample which was treated with A. pierreana generated the most significant DEG set, including 6130 DEGs, 2479 upregulated, and 3651 downregulated. KEGG pathway analyses found that four pathways (MAPK, NF-kappa B, p53, and TGF-beta signaling pathway) were significantly enriched; 16 genes were significantly regulated in these four pathways. Interestingly, some of them such as EGFR, DUSP4, IL1R1, IL1B, MDM2, CDKNIA, and IDs have been used as the target biomarkers for cancer diagnosis and therapy. In addition, classified samples into 14 groups based on their pharmaceutical effects, WGCNA was used to identify 27 modules. Among them, green and darkgrey were the most relevant modules. Eight genes in the green module and four in darkgrey were identified as hub genes. In conclusion, we screened out three new TCM (B. fruticose, A. pierreana, and S. scandens) that have the potential to develop natural anticancer drugs and obtained the therapeutic targets for NSCLC therapy. Our study provides unique insights to screen the natural components for NSCLC therapy using high-throughput transcriptome analysis.
研究领域:
癌症生物学
·
药理学
·
分子生物学
·
生物信息学
·
传统中药
✓ 已验证
DOI
PubMed
高影响因子
Advanced Healthcare Materials
·
2024
·
IF 10
Qiqi Yin,Yanli Yao,Handan Zhang,Jie Zhang,Jiaming Gao,Lin Weng,Tao Liu,Shuyang Sun,Xin Chen
The management of oral squamous cell carcinoma (OSCC) poses significant challenges, leading to organ impairment and ineffective treatment of deep-seated tumors, adversely affecting patient prognosis. We introduced a cascade nanoreactor that integrates photodynamic therapy (PDT) and chemodynamic therapy (CDT) for comprehensive multimodal OSCC treatment. Utilizing iron oxide nanoparticles and mesoporous silica, we developed the FMMSH drug delivery system, encapsulating the photosensitizer prodrug δ-aminolevulinic acid (δ-ALA). Triphenylphosphine (TPP) modification facilitated mitochondrial targeting, while tumor cell membrane (TCM) coating provided homotypic targeting. The dual-targeting δ-ALA@FMMSH-TPP-TCM nanoparticles demonstrated efficacy in eradicating both superficial and deep tumors through synergistic PDT/CDT. Esterase overexpression in OSCC cells triggered δ-ALA release, and excessive hydrogen peroxide in tumor mitochondria underwent Fenton chemistry for CDT. The synergistic interaction of PDT and CDT mechanisms increased cytotoxic ROS levels, intensifying oxidative stress and enhancing apoptotic and damage mechanisms, ultimately leading to enhanced tumor cell death. PDT/CDT-induced apoptosis generated δ-ALA-containing apoptotic bodies, enhancing anti-tumor efficacy in deep tumor cells. The advantageous anatomical accessibility of oral cancer emphasizes the potential of intratumoral injection for precise and localized treatment delivery, ensuring focused therapeutic agent delivery to maximize efficacy while minimizing systemic side effects. Thus, δ-ALA@FMMSH-TPP-TCM, tailored for intratumoral injection, emerges as a transformative modality in OSCC treatment. This article is protected by copyright. All rights reserved
研究领域:
纳米技术
·
肿瘤学
·
治疗学
·
生物医学工程
·
药学
✓ 已验证
产品关联
DOI
PubMed
高影响因子