Antimycobacterial activity of an anthracycline produced by an endophyte isolated from Amphipterygium adstringens.
Miriam Trenado-UribeMayra Silva-MirandaJosé F Rivero-CruzKarol Rodríguez-PeñaClara I Espitia-PinzónRomina Rodríguez-SanojaSánchez-Esquivel SergioPublished in: Molecular biology reports (2018)
The search for new compounds effective against Mycobacterium tuberculosis is still a priority in medicine. The evaluation of microorganisms isolated from non-conventional locations offers an alternative to look for new compounds with antimicrobial activity. Endophytes have been successfully explored as source of bioactive compounds. In the present work we studied the nature and antimycobacterial activity of a compound produced by Streptomyces scabrisporus, an endophyte isolated from the medicinal plant Amphipterygium adstringens. The active compound was detected as the main secondary metabolite present in organic extracts of the streptomycete and identified by NMR spectroscopic data as steffimycin B (StefB). This anthracycline displayed a good activity against M. tuberculosis H37Rv ATCC 27294 strain, with MIC100 and SI values of 7.8 µg/mL and 6.42, respectively. When tested against the rifampin mono resistant M. tuberculosis Mtb-209 pathogen strain, a better activity was observed (MIC100 of 3.9 µg/mL), suggesting a different action mechanism of StefB from that of rifampin. Our results supported the endophyte Streptomyces scabrisporus as a good source of StefB for tuberculosis treatment, as this anthracycline displayed a strong bactericidal effect against M. tuberculosis, one of the oldest and more dangerous human pathogens causing human mortality.
Keyphrases
- mycobacterium tuberculosis
- pulmonary tuberculosis
- endothelial cells
- hiv aids
- magnetic resonance
- emergency department
- type diabetes
- electronic health record
- cardiovascular disease
- cardiovascular events
- hepatitis c virus
- pluripotent stem cells
- candida albicans
- multidrug resistant
- ionic liquid
- molecular docking
- human immunodeficiency virus
- combination therapy
- adverse drug
- molecular dynamics simulations
- solid state
- hiv infected
- water soluble
- deep learning
- antiretroviral therapy
- artificial intelligence