Barbeya oleoides Leaves Extracts: In Vitro Carbohydrate Digestive Enzymes Inhibition and Phytochemical Characterization

Multi-level advances in databases related to systems pharmacology in traditional Chinese medicine: a 60-year review

The therapeutic effects of traditional Chinese medicine (TCM) involve intricate interactions among multiple components and targets. Currently, computational approaches play a pivotal role in simulating various pharmacological processes of TCM. The application of network analysis in TCM research has provided an effective means to explain the pharmacological mechanisms underlying the actions of herbs or formulas through the lens of biological network analysis. Along with the advances of network analysis, computational science has coalesced around the core chain of TCM research: formula-herb-component-target-phenotype-ZHENG, facilitating the accumulation and organization of the extensive TCM-related data and the establishment of relevant databases. Nonetheless, recent years have witnessed a tendency toward homogeneity in the development and application of these databases. Advancements in computational technologies, including deep learning and foundation model, have propelled the exploration and modeling of intricate systems into a new phase, potentially heralding a new era. This review aims to delves into the progress made in databases related to six key entities: formula, herb, component, target, phenotype, and ZHENG. Systematically discussions on the commonalities and disparities among various database types were presented. In addition, the review raised the issue of research bottleneck in TCM computational pharmacology and envisions the forthcoming directions of computational research within the realm of TCM.

Antibacterial Activity of Some Medicinal Plants in Al Baha Region, Saudi Arabia, Against Carcinogenic Bacteria Related to Gastrointestinal Cancers

BACKGROUND

Gastrointestinal cancers are the most dangerous cancers all over the world. The gut microbiota dysbiosis increases the risk of GI cancers and induces the host's susceptibility to carcinogenic bacteria. Antibiotic resistance is rising in these bacteria. Thus, discovering new safe and effective antibacterial agents is a worldwide concern. This study evaluates the antibacterial activity of six wild medicinal plants from the Al Bahah region in Saudi Arabia.

METHODS

Arial parts of Cissus quadrangularis, Aloe castellorum, Psiadia punctulata, Aloe pseudorubroviolacea, Barbeya oleoides, Teucrium yemense were collected and dried for extraction with ethanol. The minimum inhibitory concentrations (MIC) of these ethanolic extracts against carcinogenic bacteria Bacteroides fragilis, Clostridium ssp., Cutibacterium acnes, Escherichia coli, Fusobacterium nucleatum, Helicobacter pylori, Mycoplasma spp., Neisseria gonorrhoeae, Porphyromonas gingivalis, Salmonella enterica, and Treponema pallidum were evaluated to determine its antibacterial activity.

RESULTS

All extracts showed antibacterial activity with MIC lower than 1 mg/ml. Psiadia punctulata showed higher antibacterial activity, while the Aloe species showed the lowest antibacterial activity.

CONCLUSION

The studied plants' extracts showed high effectiveness as antibacterial activity against the carcinogenic bacteria related to gastrointestinal cancers due to their high content of pharmaceutical components. These plants could be explored further for the development of new antibacterial products against these carcinogenic bacteria.