Seaweeds or algae are marine autotrophic organisms. They produce nutrients (e.g., proteins, carbohydrates, etc.) essential for the survival of living organisms as they participate in biochemical processes and non-nutritive molecules (such as dietary fibers and secondary metabolites), which can improve their physiological functions. Seaweed polysaccharides, fatty acids, peptides, terpenoids, pigments, and polyphenols have biological properties that can be used to develop food supplements and nutricosmetic products as they can act as antibacterial, antiviral, antioxidant, and anti-inflammatory compounds. This review examines the (primary and secondary) metabolites produced by algae, the most recent evidence of their effect on human health conditions, with particular attention to what concerns the skin and hair's well-being. It also evaluates the industrial potential of recovering these metabolites from biomass produced by algae used to clean wastewater. The results demonstrate that algae can be considered a natural source of bioactive molecules for well-being formulations. The primary and secondary metabolites' upcycling can be an exciting opportunity to safeguard the planet (promoting a circular economy) and, at the same time, obtain low-cost bioactive molecules for the food, cosmetic, and pharmaceutical industries from low-cost, raw, and renewable materials. Today's lack of methodologies for recovering bioactive molecules in large-scale processes limits practical realization.
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http://dx.doi.org/10.3390/molecules28104032 | DOI Listing |
Mol Neurodegener
January 2025
Guangdong Key Laboratory of Non-Human Primate Research, Key Laboratory of CNS Regeneration (Ministry of Education), School of Medicine, GHM Institute of CNS Regeneration, Jinan University, Guangzhou, 510632, China.
Background: HD is a devastating neurodegenerative disorder caused by the expansion of CAG repeats in the HTT. Silencing the expression of mutated proteins is a therapeutic direction to rescue HD patients, and recent advances in gene editing technology such as CRISPR/CasRx have opened up new avenues for therapeutic intervention.
Methods: The CRISPR/CasRx system was employed to target human HTT exon 1, resulting in an efficient knockdown of HTT mRNA.
Chem Pharm Bull (Tokyo)
January 2025
Drug Discovery Research Department, Kyoto Pharmaceutical Industries, Ltd.
Osteoporosis is caused by an imbalance between bone resorption and formation, which decreases bone mass and strength and increases the risk of fracture. Therefore, osteoporosis is treated with oral resorption inhibitors, such as bisphosphonates, and parenteral osteogenic drugs, including parathyroid hormone and antisclerostin antibodies. However, orally active osteogenic drugs have not yet been developed.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Center Laboratory, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology & NMPA Key Laboratory for Dental Materials, No. 22, Zhongguancun South Avenue, Haidian District, Beijing 100081, P. R. China.
: Sjögren's syndrome (SS), an autoimmune disease, was characterized by sicca syndrome and systemic manifestations, presenting significant treatment challenges. Exosomes, naturally derived nanoparticles containing bioactive molecules, have garnered interest in regenerative medicine. The present study aimed to elucidate the immunoregulatory properties and mechanism of exosomes obtained from the stem cells derived from human exfoliated deciduous teeth (SHED-exos) in SS-induced sialadenitis.
View Article and Find Full Text PDFHeliyon
January 2025
Department of Mathematics, Faculty of Sciences, Ghazi University, Dera Ghazi Khan, 32200, Pakistan.
Chemical structures may be defined based on their topology, which allows for the organization of molecules and the representation of new structures with specific properties. We use topological indices, which are precise numerical measurements independent of structure, to measure the bonding arrangement of a chemical network. An essential objective of studying topological indices is to collect and alter chemical structure data to develop a mathematical relationship between structures and physico-chemical properties, bio-activities, and associated experimental factors.
View Article and Find Full Text PDFiScience
January 2025
Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka 820-8502, Japan.
Drugs that interact with multiple therapeutic targets are potential high-value products in polypharmacology-based drug discovery, but the rational design remains a formidable challenge. Here, we present artificial intelligence (AI)-based methods to design the chemical structures of compounds that interact with multiple therapeutic target proteins. The molecular structure generation is performed by a fragment-based approach using a genetic algorithm with chemical substructures and a deep learning approach using reinforcement learning with stochastic policy gradients in the framework of generative adversarial networks.
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