Natural products have long played a pivotal role in the development of therapeutics for a variety of diseases. Traditionally, soil and marine environments have provided a rich reservoir from which diverse chemical scaffolds could be discovered. Recently, the human microbiome has been recognized as a promising niche from which secondary metabolites with therapeutic potential have begun to be isolated. In this Review, we address how the expansive history of identifying bacterial natural products in other environments is informing the approaches being brought to bear on the study of the human microbiota. We also touch on how these tools can lead to insights about microbe-microbe and host-microbe interactions and help generate biological hypotheses that may lead to developments of new therapeutic modalities.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7232905 | PMC |
| http://dx.doi.org/10.1016/j.chom.2018.05.013 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Impact of commercial gut health interventions on caecal metagenome and broiler performance.
Microbiome
January 2025
Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK.
Background: Maintaining gut health is a persistent and unresolved challenge in the poultry industry. Given the critical role of gut health in chicken performance and welfare, there is a pressing need to identify effective gut health intervention (GHI) strategies to ensure optimal outcomes in poultry farming. In this study, across three broiler production cycles, we compared the metagenomes and performance of broilers provided with ionophores (as the control group) against birds subjected to five different GHI combinations involving vaccination, probiotics, prebiotics, essential oils, and reduction of ionophore use.
View Article and Find Full Text PDFTargeting fucosyltransferase FUT8 as a prospective therapeutic approach for DLBCL.
Oncogenesis
January 2025
Department of Hematology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Diffuse large B-cell lymphoma (DLBCL) is characterized by its aggressive nature and resistance to standard chemotherapy, necessitating the development of new therapeutic approaches. The emergence of natural products and their derivatives has notably influenced cancer treatment, making morusinol, a medicine-derived monomer, a promising candidate. Here, we showed that morusinol exerted antitumor effects on DLBCL in vitro by inducing apoptosis and cell cycle arrest.
View Article and Find Full Text PDFA high-fat meal significantly impacts the bioavailability and biphasic absorption of cannabidiol (CBD) from a CBD-rich extract in men and women.
Sci Rep
January 2025
Division of Human Nutrition and Health, Wageningen University, Stippeneng 4, 6708 WE, Wageningen, The Netherlands.
Cannabidiol (CBD), a specialized metabolite (phytocannabinoid) abundant in Cannabis sativa, is attracting increasing attention for its alleged health-promoting properties. The present study aimed to investigate the pharmacokinetics of CBD and its primary metabolite, 7-hydroxy-cannabidiol (7-OH-CBD), following a single oral dose of a CBD-rich Cannabis sativa extract, equivalent to 70 mg CBD, in healthy male (n=5) and female (n=6) participants. Using a randomized crossover design, the study evaluated the impact of a standardized high-fat meal compared to fasting on the oral bioavailability of CBD.
View Article and Find Full Text PDFFish active packaging with ZnO/Fe-MMT nanoparticles.
Sci Rep
January 2025
Nanotechnology Department, Faculty of Science, Urmia University, Urmia, Iran.
Today, active packaging has become essential to increase food safety and decrease food spoilage. In this study, the aim was to delay spoilage and increase the shelf life of rainbow fish fillets with a new hybrid nanocomposite active packaging. Packaging was fabricated with Ethylene vinyl acetate and active compounds such as rosemary extract, zinc oxide nanoparticles, and modified iron (Fe-MMT).
View Article and Find Full Text PDFOptimizing dental implant identification using deep learning leveraging artificial data.
Sci Rep
January 2025
Department of Oral and Maxillofacial Surgery, Faculty of Medicine, Kagawa University, 1750-1, Ikenobe, Miki-cho, Kita-gun, Takamatsu, 761-0793, Kagawa, Japan.
This study aims to evaluate the potential enhancement in implant classification performance achieved by incorporating artificially generated images of commercially available products into a deep learning process of dental implant classification using panoramic X-ray images. To supplement an existing dataset of 7,946 in vivo dental implant images, a three-dimensional scanner was employed to create implant surface models. Subsequently, implant surface models were used to generate two-dimensional X-ray images, which were compiled along with original images to create a comprehensive dataset.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!