Despite the options available for breast cancer (BC) therapy, several adverse effects and resistance limit the success of the treatment. Furthermore, the use of a single drug is associated with a high failure rate. We investigated through a systematic review the in vitro effects of the combination between conventional drugs and bioactive compounds derived from cinnamic acid in BC treatment. The information was acquired from the following databases: PubMed, Web of Science, Embase, Scopus, Lilacs and Cochrane library. We focused on "Cinnamates", "Drug Combinations" and "Breast neoplasms" for publications dating between January 2012 and December 2022, based on the PRISMA statement. The references of the articles were carefully reviewed. Finally, nine eligible studies were included. The majority of these studies were performed using MCF-7, MDA-MB-231, MDA-MB-468 and BT-20 cell lines and the combination between cisplatin, paclitaxel, doxorubicin, tamoxifen, dactolisib and veliparib, with caffeic acid phenethyl ester, eugenol, 3-caffeoylquinic acid, salvianolic acid A, ferulic acid, caffeic acid, rosmarinic acid and ursolic acid. The combination improved overall conventional drug effects, with increased cytotoxicity, antimigratory effect and reversing resistance. Combining conventional drugs with bioactive compounds derived from cinnamic acid could emerge as a privileged scaffold for establishing new treatment options for different BC types.
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http://dx.doi.org/10.3390/biomedicines11020275 | DOI Listing |
BMC Bioinformatics
January 2025
Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing Anzhen Hospital of Capital Medical University, Beijing, 101100, China.
Background: MicroRNAs (miRNAs) are pivotal in the initiation and progression of complex human diseases and have been identified as targets for small molecule (SM) drugs. However, the expensive and time-intensive characteristics of conventional experimental techniques for identifying SM-miRNA associations highlight the necessity for efficient computational methodologies in this field.
Results: In this study, we proposed a deep learning method called Multi-source Data Fusion and Graph Neural Networks for Small Molecule-MiRNA Association (MDFGNN-SMMA) to predict potential SM-miRNA associations.
Large-scale gene expression profiling generates or integrates massive data of gene expression under drug induction and employs artificial intelligence algorithms for pattern matching and association analysis. This approach facilitates the identification of complex relationships and functional networks between drugs, genes, and diseases, thereby significantly advancing drug research. Traditional Chinese medicine(TCM), with its characteristic multi-component, multi-target, and multi-pathway mechanisms, poses challenges to conventional methodologies in the comprehensive elucidation of its biological effects.
View Article and Find Full Text PDFZhongguo Zhong Yao Za Zhi
December 2024
Institute of International Standardization for Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine Shanghai 201203, China Shanghai Academy of International Standardization for Traditional Chinese Medicine Shanghai 201203, China.
This study aims to establish a quality grading standard that combines the conventional quality evaluation based on morphological characteristics of traditional Chinese medicine with the modern quality evaluation. Based on the existing standards and market circulation of Isatidis Radix, the diameter and color of Isatidis Radix decoction pieces were selected as the appearance traits for preliminary grading. The effects of internal quality indexes such as moisture, total ash, acid-insoluble ash, ethanol-soluble extractives, and 9 water-soluble components on different grades of decoction pieces were comprehensively compared, and the key grading indexes were determined by t-test.
View Article and Find Full Text PDFZhongguo Zhong Yao Za Zhi
December 2024
College of Pharmaceutical Sciences, Guizhou University of Traditional Chinese Medicine Guiyang 550025, China National Engineering Technology Research Center for Miao Medicine Guiyang 550025, China Guizhou Engineering Technology Research Center for Processing and Preparation of Traditional Chinese Medicine and Ethnic Medicine Guiyang 550025, China.
The conventional acupoint therapy for rheumatoid arthritis often uses traditional Chinese medicine preparations in the dosage forms of powder, ointment, and paste. However, these dosage forms have obvious drawbacks, such as low transdermal absorption, strong skin irritation, and easy detachment. Creating a traditional Chinese medicine acupoint therapy characterized by high penetration, low toxicity, low irritation, and convenient administration is of great significance.
View Article and Find Full Text PDFDrug Des Devel Ther
January 2025
School of Medicine, Kyungpook National University and Department of Clinical Pharmacology and Therapeutics, Kyungpook National University Hospital, Daegu, 41944, Republic of Korea.
Background: YYD601 is a new dual delayed-release formulation of esomeprazole, developed to enhance plasma exposure and prolong the duration of acid suppression.
Purpose: This study aimed to evaluate the safety, pharmacokinetic (PK), and pharmacodynamic (PD) profiles of YYD601 20 mg following single and multiple oral administrations in healthy, fasting adult Koreans, and to compare these outcomes to those of the conventional esomeprazole 20 mg capsule.
Methods: A randomized, open-label, two-period crossover study was conducted in 28 participants, who were divided into two treatment groups: one group received YYD601 20 mg, and the other received conventional esomeprazole 20 mg, once daily for five consecutive days.
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