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1.
PLoS One ; 15(5): e0233047, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32392269

RESUMO

Fruits have been widely considered as the default "health foods" because they contain numerous vitamins and minerals needed to sustain human health. Fermentation strategies have been utilized to enhance the nutritive and flavor features of healthy and readily consumable fruit products while extending their shelf lives. A traditional fermented multi-fruit beverage was made from five fruits including kiwi, guava, papaya, pineapple, and grape fermented by Saccharomyces cerevisiae along with lactic acid bacteria and acetic acid bacteria. The immunomodulatory properties of the fermented multi-fruit beverage, in vivo nonspecific and ovalbumin (OVA)-specific immune response experiments using female BALB/c mice were performed. Administration of the fermented multi-fruit beverage reduced the calorie intake, thus resulting in a less weight gain in mice compared to the water (placebo)-fed mice. In the nonspecific immune study model, the fermented multi-fruit beverage enhanced phagocytosis and T cell proliferation but did not affect B cell proliferation and immunoglobulin G (IgG) production. Analysis of cytokine secretion profile also revealed that the fermented multi-fruit beverage enhanced proinflammatory cytokines interleukin (IL)-6, tumor necrosis factor (TNF)-α, and T helper (Th)1-related cytokine interferon (IFN)-γ production, thus creating an immunostimulatory effect. Nonetheless, in the specific immune study model, the results showed that the fermented multi-fruit beverage decreased the production of proinflammatory cytokines IL-6 and TNF-α production in OVA-immunized mice. Moreover, it also caused a decrease in the production of anti-OVA IgG1, which was accompanied by a decrease in Th2-related cytokines IL-4 and IL-5 production and an increase in Th1-related cytokine IFN-γ production, indicating that it may have the potential to shift the immune system from the allergen-specific Th2 responses toward Th1-type responses. The results indicate that fermented multi-fruit beverage has the potential to modulate immune responses both in a nonspecific and specific manners.


Assuntos
Citocinas/metabolismo , Alimentos Fermentados/microbiologia , Frutas/imunologia , Ovalbumina/administração & dosagem , Linfócitos T/metabolismo , Acetobacteraceae/fisiologia , Administração Oral , Animais , Peso Corporal , Feminino , Imunoglobulina G/metabolismo , Lactobacillales/fisiologia , Ativação Linfocitária , Camundongos , Camundongos Endogâmicos BALB C , Ovalbumina/imunologia , Fagocitose , Saccharomyces cerevisiae/fisiologia , Células Th1/imunologia , Células Th2/imunologia , Vacinação
2.
Drug Des Devel Ther ; 11: 563-574, 2017.
Artigo em Inglês | MEDLINE | ID: mdl-28280303

RESUMO

Computer-aided drug discovery and development approaches such as virtual screening, molecular docking, and in silico drug property calculations have been utilized in this effort to discover new lead compounds against tuberculosis. The enzyme 7,8-diaminopelargonic acid aminotransferase (BioA) in Mycobacterium tuberculosis (Mtb), primarily involved in the lipid biosynthesis pathway, was chosen as the drug target due to the fact that humans are not capable of synthesizing biotin endogenously. The computational screening of 4.5 million compounds from the Enamine REAL database has ultimately yielded 45 high-scoring, high-affinity compounds with desirable in silico absorption, distribution, metabolism, excretion, and toxicity properties. Seventeen of the 45 compounds were subjected to bioactivity validation using the resazurin microtiter assay. Among the 4 actives, compound 7 ((Z)-N-(2-isopropoxyphenyl)-2-oxo-2-((3-(trifluoromethyl)cyclohexyl)amino)acetimidic acid) displayed inhibitory activity up to 83% at 10 µg/mL concentration against the growth of the Mtb H37Ra strain.


Assuntos
Antibacterianos/farmacologia , Simulação por Computador , Descoberta de Drogas , Inibidores Enzimáticos/farmacologia , Mycobacterium tuberculosis/efeitos dos fármacos , Mycobacterium tuberculosis/enzimologia , Transaminases/antagonistas & inibidores , Antibacterianos/química , Relação Dose-Resposta a Droga , Inibidores Enzimáticos/química , Testes de Sensibilidade Microbiana , Simulação de Acoplamento Molecular , Mycobacterium tuberculosis/crescimento & desenvolvimento , Relação Estrutura-Atividade , Transaminases/metabolismo
3.
Drug Des Devel Ther ; 10: 1147-57, 2016.
Artigo em Inglês | MEDLINE | ID: mdl-27042006

RESUMO

Mycobacterium tuberculosis (Mtb) the main causative agent of tuberculosis, is the main reason why this disease continues to be a global public health threat. It is therefore imperative to find a novel antitubercular drug target that is unique to the structural machinery or is essential to the growth and survival of the bacterium. One such target is the enzyme l,d-transpeptidase 2, also known as LdtMt2, a protein primarily responsible for the catalysis of 3→3 cross-linkages that make up the mycolyl-arabinogalactan-peptidoglycan complex of Mtb. In this study, structure-based pharmacophore screening, molecular docking, and in silico toxicity evaluations were employed in screening compounds from a database of synthetic compounds. Out of the 4.5 million database compounds, 18 structures were identified as high-scoring, high-binding hits with very satisfactory absorption, distribution, metabolism, excretion, and toxicity properties. Two out of the 18 compounds were further subjected to in vitro bioactivity assays, with one exhibiting a good inhibitory activity against the Mtb H37Ra strain.


Assuntos
Antituberculosos/farmacologia , Simulação por Computador , Inibidores Enzimáticos/farmacologia , Mycobacterium tuberculosis/efeitos dos fármacos , Mycobacterium tuberculosis/enzimologia , Peptidil Transferases/antagonistas & inibidores , Antituberculosos/síntese química , Antituberculosos/química , Relação Dose-Resposta a Droga , Avaliação Pré-Clínica de Medicamentos , Inibidores Enzimáticos/síntese química , Inibidores Enzimáticos/química , Testes de Sensibilidade Microbiana , Conformação Molecular , Simulação de Acoplamento Molecular , Peptidil Transferases/metabolismo , Relação Estrutura-Atividade
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