4 research outputs found
Π Π°Π΄ΠΈΠ°ΡΠΈΠΎΠ½Π½ΠΎ-Ρ ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΠΉ ΡΠΈΠ½ΡΠ΅Π· ΠΏΠ΅ΡΡΡΠΎΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ ΠΏΠΎΠ»ΠΈΠΌΠ΅ΡΠ½ΠΎΠΉ ΠΌΠ΅ΠΌΠ±ΡΠ°Π½Ρ Ρ ΡΡΠ»ΡΡΠΎΠΊΠΈΡΠ»ΠΎΡΠ½ΡΠΌΠΈ Π³ΡΡΠΏΠΏΠ°ΠΌΠΈ
Π ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΡΠ°Π΄ΡΠ°ΡΡΠΉΠ½ΠΎ-ΡΠ½Π΄ΡΠΊΠΎΠ²Π°Π½ΠΎΡ ΠΏΡΠΈΡΠ΅ΠΏΠ½ΠΎΡ ΡΠΎΠΏΠΎΠ»ΡΠΌΠ΅ΡΠΈΠ·Π°ΡΡΡ Π· Π²ΠΎΠ΄Π½ΠΈΡ
ΡΠΎΠ·ΡΠΈΠ½ΡΠ² Π΄Π²ΠΎΡ
ΠΌΠΎΠ½ΠΎΠΌΠ΅ΡΡΠ² β Π°ΠΊΡΠΈΠ»ΠΎΠ²ΠΎΡ ΠΊΠΈΡΠ»ΠΎΡΠΈ Ρ Π½Π°ΡΡΡΡΠ²ΠΎΡ ΡΠΎΠ»Ρ ΡΡΠΈΡΠΎΠ»ΡΡΠ»ΡΡΠΎΠ½Π°ΡΡ β Π½Π° ΠΏΠΎΠ»ΡΠΌΠ΅ΡΠ½Ρ ΠΏΠ»ΡΠ²ΠΊΡ Π· ΡΡΠΎΡΠΎΠ²Π°Π½ΠΎΠ³ΠΎ ΠΏΡΠΎΠΏΡΠ»Π΅Π½Ρ-Π΅ΡΠΈΠ»Π΅Π½Ρ ΡΠΈΠ½ΡΠ΅Π·ΠΎΠ²Π°Π½Π° ΠΏΡΠΎΡΠΎΠ½ΠΎΠ±ΠΌΡΠ½Π½Π° ΠΌΠ΅ΠΌΠ±ΡΠ°Π½Π° Π· ΡΡΠ»ΡΡΠΎΠΊΠΈΡΠ»ΠΎΡΠ½ΠΈΠΌΠΈ Π³ΡΡΠΏΠ°ΠΌΠΈ. Π ΠΎΠ·Π³Π»ΡΠ½ΡΡΡ ΠΎΡΠ½ΠΎΠ²Π½Ρ Π΅ΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»ΡΠ½Ρ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΈ, ΡΠΎ Π²ΠΏΠ»ΠΈΠ²Π°ΡΡΡ Π½Π° ΠΏΡΠΎΡΠ΅Ρ ΠΏΡΠΈΡΠ΅ΠΏΠ½ΠΎΡ ΡΠΎΠΏΠΎΠ»ΡΠΌΠ΅ΡΠΈΠ·Π°ΡΡΡ.Sulfonic acid proton exchange membranes based on a poly(tetrafluoroethylene-co-hexafluoropropylene) film are synthesized through the graft copolymerization of sodium styrenesulfonate and acrylic acid monomers from binary monomer aqueous solutions. The effects of the main polymerization parameters on the degree of grafting are studied
Pharmacomicrobiomics: the impact of human microbiome variations on systems pharmacology and personalized therapeutics
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136016pub.pdf (publisher's version ) (Closed access)The Human Microbiome Project (HMP) is a global initiative undertaken to identify and characterize the collection of human-associated microorganisms at multiple anatomic sites (skin, mouth, nose, colon, vagina), and to determine how intra-individual and inter-individual alterations in the microbiome influence human health, immunity, and different disease states. In this review article, we summarize the key findings and applications of the HMP that may impact pharmacology and personalized therapeutics. We propose a microbiome cloud model, reflecting the temporal and spatial uncertainty of defining an individual's microbiome composition, with examples of how intra-individual variations (such as age and mode of delivery) shape the microbiome structure. Additionally, we discuss how this microbiome cloud concept explains the difficulty to define a core human microbiome and to classify individuals according to their biome types. Detailed examples are presented on microbiome changes related to colorectal cancer, antibiotic administration, and pharmacomicrobiomics, or drug-microbiome interactions, highlighting how an improved understanding of the human microbiome, and alterations thereof, may lead to the development of novel therapeutic agents, the modification of antibiotic policies and implementation, and improved health outcomes. Finally, the prospects of a collaborative computational microbiome research initiative in Africa are discussed