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1.
Nutrients ; 14(11)2022 May 25.
Artículo en Inglés | MEDLINE | ID: mdl-35684000

RESUMEN

BACKGROUND: The gut microbial ecosystem is an important factor that regulates host health and the onset of chronic diseases, such as inflammatory bowel diseases, obesity, hyperlipidemia, and diabetes mellitus, which are important risk factors for atherosclerosis. However, the links among diet, microbiota composition, and atherosclerotic progression are unclear. METHODS AND RESULTS: Four-week-old mice (-/- mice, C57Bl/6) were randomly divided into two groups, namely, supplementation with culture medium (control, CTR) and Bacteroides fragilis (BFS), and were fed a high-fat diet. The gut microbiota abundance in feces was evaluated using the 16S rDNA cloning library construction, sequencing, and bioinformatics analysis. The atherosclerotic lesion was estimated using Oil Red O staining. Levels of CD36, a scavenger receptor implicated in atherosclerosis, and F4/80, a macrophage marker in small intestine, were quantified by quantitative real-time PCR. Compared with the CTR group, the BFS group showed increased food intake, fasting blood glucose level, body weight, low-density lipoprotein level, and aortic atherosclerotic lesions. BFS dramatically reduced Lactobacillaceae (LAC) abundance and increased Desulfovibrionaceae (DSV) abundance. The mRNA expression levels of CD36 and F4/80 in small intestine and aorta tissue in the BFS group were significantly higher than those in the CTR group. CONCLUSIONS: gut microbiota dysbiosis was induced by BFS. It was characterized by reduced LAC and increased DSV abundance and led to the deterioration of glucose/lipid metabolic dysfunction and inflammatory response, which likely promoted aorta plaque formation and the progression of atherosclerosis.


Asunto(s)
Enfermedades de la Aorta , Aterosclerosis , Microbioma Gastrointestinal , Animales , Aorta/metabolismo , Enfermedades de la Aorta/genética , Aterosclerosis/metabolismo , Bacteroides fragilis , Dieta Alta en Grasa/efectos adversos , Suplementos Dietéticos , Modelos Animales de Enfermedad , Disbiosis/metabolismo , Ecosistema , Microbioma Gastrointestinal/genética , Inflamación/metabolismo , Ratones , Ratones Endogámicos C57BL
2.
Appl Microbiol Biotechnol ; 79(1): 119-26, 2008 May.
Artículo en Inglés | MEDLINE | ID: mdl-18330563

RESUMEN

The automated docking program DOCK 5.3.0 was applied to screening for quorum sensing inhibitors (QSIs) of Peudomonus aeruginosa from a database containing 51 active components of Traditional Chinese Medicines with antibacterial activity. Five potential QSIs were revealed by the computer-based virtual screening. The compounds 3, 4, 5, 6, 7 inhibit biofilm formation of P. aeruginosa at a concentration of 200 microM. Compound 4 (baicalein) does not inhibit the growth of P. aeruginosa; however, it significantly inhibits biofilm formation of the bacteria at a lower concentration of 20 microM and promoted proteolysis of the signal receptor TraR protein in Escherichia coli at 4-40 mM. Baicalein and ampicillin showed synergistic activity against P. aeruginosa. These results suggested that baicalein can interfere with quorum sensing system of P. aeruginosa and will be developed as antibacterial agent with novel target.


Asunto(s)
Antibacterianos/farmacología , Biopelículas/efectos de los fármacos , Diseño Asistido por Computadora , Pseudomonas aeruginosa/efectos de los fármacos , Percepción de Quorum/efectos de los fármacos , Proteínas Bacterianas/antagonistas & inhibidores , Bases de Datos Factuales , Diseño de Fármacos , Evaluación Preclínica de Medicamentos , Escherichia coli/efectos de los fármacos , Escherichia coli/metabolismo , Flavanonas/farmacología , Medicina Tradicional China , Modelos Moleculares , Plásmidos
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