Compounds derived from N,N-dimethyldithiocarbamate are effective copper-dependent antimicrobials against Streptococcus pneumoniae
Johnson, M. D. L.; Menghani, S. V.; Sanchez-Rosario, Y.; Pok, C.; Liu, R.; Gao, F.; O'Brien, H. L.; Neubert, M.; Ochoa, K.; Hellinger, R. D.; Wang, W.
Show abstract
N,N-dimethyldithiocarbamate (DMDC) is a potent copper-dependent antimicrobial against several pathogens, including Streptococcus pneumoniae. Despite the availability of several vaccines against multiple disease-causing strains of S. pneumoniae, the rise of antimicrobial resistance and pneumococcal disease caused by strains not covered by the vaccine creates a need for developing novel antimicrobial strategies. We derived novel compounds from DMDC and tested their effectiveness as copper-dependent antimicrobials against S. pneumoniae through in vitro growth and killing curves. Compounds that caused a growth defect and were bactericidal in vitro were tested against other strains of S. pneumoniae and in complex with different transition metals. We found two compounds, sodium N-benzyl-N-methyldithiocarbamate and sodium N-allyl-N-methyldithiocarbamate (herein "Compound 3" and "Compound 4"), were effective against TIGR4, D39, and ATCC(R) 6303 (a type 3 capsular strain) and further increased the internal concentrations of copper to the same previously reported levels as with DMDC and copper treatment. We found that both Compound 3 and Compound 4 were bacteriostatic in combination with zinc. We tested Compound 3 and Compound 4 in vivo against a murine pneumonia model, finding that Compound 3, and not Compound 4, was effective in significantly decreasing the bacterial burden in the blood and lungs of S. pneumoniae-infected mice. We found that the combination of Compound 3 and copper made the pneumococcus more susceptible to activated macrophage mediated killing via an in vitro macrophage killing assay. Collectively, we demonstrate that derivatizing DMDC holds promise as potent bactericidal antibiotics against S. pneumoniae.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- Novel Pentafluorosulfanyl-containing Triclocarban Analogs selectively kill Gram-positive bacteria. 97%
- Discovery of benzophenanthridine derivatives with potent activity against multidrug resistant Mycobacterium tuberculosis 95%
- Natural products lysobactin and sorangicin A show in vitro activity against Mycobacterium abscessus complex 94%
Similar papers in this journal
- Drug screening to identify compounds to act as co-therapies for the treatment of pathogenic Burkholderia 95%
- High-throughput phenotypic screen identifies a new family of potent anti-amoebic compounds 94%
- A rapid method to determine the bactericidal activity of compounds against non-replicating Mycobacterium tuberculosis at low pH 94%
Similar papers in this journal
- Amikacin potentiator activity of zinc complexed to a pyrithione derivative with enhanced solubility 95%
- High-throughput cell-based assays for the preclinical development of DsbA inhibitors as antivirulence therapeutics. 94%
- Identification of kinase inhibitors as potential host-directed therapies for intracellular bacteria 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.