Delving into the Latest Updates on Guangdong Yifang Pharmaceutical Co., Ltd. with Synapse

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Herbal medicine	1

The establishment of near infrared (NIR) spectroscopy model mostly relies on chemometrics, and spectral analysis combined with artificial intelligence (AI) provides a new way of thinking for pharmaceutical quality inspection, new algorithms such as back propagation artificial neural networks (BP-ANN) and swarm intelligence optimization algorithms such as sparrow search algorithm (SSA) provide core technical support. In order to explore the application of AI in the pharmaceutical field, in this study, Angelica dahurica formula granules with a relatively complex system were selected as the research object. Quantitative analysis models were established by using partial least squares regression (PLSR) with a micro-NIR spectrometer, and BP-ANN modeling results were compared. For the best PLSR models of six characteristic components in the continuous counter-current extract of Angelica dahurica, R²_v of imperatorin was lower than 0.90, and the RPD values of imperatorin, phellopterin, and isoimperatorin were even lower than 1. When the prediction model established by SSA-BP-ANN was used for quantitative analysis, R²_v of six components were all higher than 0.92, and the RPD values all higher than 1.5, which proved that the BP-ANN method was better than PLSR. This study confirmed that in the continuous counter-current extraction progress of Angelica dahurica formula granules, the use of micro-NIR spectrometer combined with AI could realize the rapid prediction of the contents of six characteristic components. The comparison results provided a scientific reference for the process analysis and on-line monitoring in the production process of traditional Chinese medicine by micro-NIR spectrometer combined with AI.

13 Aug 2024·Analytical Chemistry

Enhanced Recognition of a Herbal Compound Epiberberine by a DNA Quadruplex-Duplex Structure

Article

Author: Wang, Zi ; Shao, Yong ; Lu, Rongguang ; Xu, Yingyi ; Shu, Zhiyu ; Ni, Jie ; Krishna, Manchugondanahalli S. ; Lian, Yun ; Sun, Dongmei ; Liu, Jingyan ; Vandana, J. Jeya ; Xu, Yunong ; Stjepanovic, Goran ; Deng, Liping ; Zhou, Fangyu ; Wu, Song ; Chen, Gang ; Jiang, Cheng ; Xiong, Chi ; Wang, Anni ; Cheng, Gui-Juan ; Mai, Xinyi ; Huang, Shaohui ; Bai, Shiyao ; Chiang, Ying-Chih ; Zhan, Xuan ; Li, Yuqing

The small molecule epiberberine (EPI) is a natural alkaloid with versatile bioactivities against several diseases including cancer and bacterial infection. EPI can induce the formation of a unique binding pocket at the 5' side of a human telomeric G-quadruplex (HTG) sequence with four telomeric repeats (Q4), resulting in a nanomolar binding affinity (K_D approximately 26 nM) with significant fluorescence enhancement upon binding. It is important to understand (1) how EPI binding affects HTG structural stability and (2) how enhanced EPI binding may be achieved through the engineering of the DNA binding pocket. In this work, the EPI-binding-induced HTG structure stabilization effect was probed by a peptide nucleic acid (PNA) invasion assay in combination with a series of biophysical techniques. We show that the PNA invasion-based method may be useful for the characterization of compounds binding to DNA (and RNA) structures under physiological conditions without the need to vary the solution temperature or buffer components, which are typically needed for structural stability characterization. Importantly, the combination of theoretical modeling and experimental quantification allows us to successfully engineer Q4 derivative Q4-ds-A by a simple extension of a duplex structure to Q4 at the 5' end. Q4-ds-A is an excellent EPI binder with a K_D of 8 nM, with the binding enhancement achieved through the preformation of a binding pocket and a reduced dissociation rate. The tight binding of Q4 and Q4-ds-A with EPI allows us to develop a novel magnetic bead-based affinity purification system to effectively extract EPI from Rhizoma coptidis (Huang Lian) extracts.

01 Aug 2024·Journal of Pharmaceutical and Biomedical Analysis

Study on the pharmacokinetics, tissue distribution and excretion of Penthorum chinense Pursh in normal and acute alcoholic liver injury rats using validated UPLC-MS/MS method

Article

Author: Tian, Haitao ; Hou, Miao ; Zhu, Xinyi ; Yang, Ying ; Cai, Chunying ; Deng, Zhipeng ; Yang, Chunguo ; Zhao, Pan

Penthorum chinense Pursh (PCP), as a traditional medicine of Miao nationality in China, is often used for the treatment of various liver diseases. At present, information regarding the in vivo process of PCP is lacking. Herein, a sensitive and robust ultra-performance liquid chromatography tandem with mass spectrometry (UPLC-MS/MS) was developed and validated for the quantification of several components to study their pharmacokinetics, tissues distribution and excretion in normal and acute alcoholic liver injury (ALI) rats. Prepared samples were separated on a Thermo C₁₈ column (4.6 mm × 50 mm, 2.4 μm) using water containing 0.1 % formic acid (A) and acetonitrile (B) as the mobile phase for gradient elution. Negative electrospray ionization was performed using multiple reaction monitoring (MRM) mode for each component. The validated UPLC-MS/MS assay gave good linearity, accuracy, precision, recovery rate, matrix effect and stability. This method was successfully applied to the pharmacokinetics, tissue distribution and excretion in normal and acute ALI rats. There were differences in pharmacokinetic process, tissue distribution and excretion characteristics, indicating that ALI had a significant influence on the in vivo process of PCP in rats. The research provided an experimental basis for the study of PCP quality control and further application in the clinic.

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Pipeline

Pipeline Snapshot as of 07 Nov 2024

The statistics for drugs in the Pipeline is the current organization and its subsidiaries are counted as organizations,Early Phase 1 is incorporated into Phase 1, Phase 1/2 is incorporated into phase 2, and phase 2/3 is incorporated into phase 3

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