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Ochoa, K.

Publications and source records attributed to Ochoa, K..

2 recordsLinked to original sources

Compounds derived from N,N-dimethyldithiocarbamate are effective copper-dependent antimicrobials against Streptococcus pneumoniae

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.

microbiology↗

Visual Perception of 3D Space and Shape in Time - Part II: 3D Space Perception with Holographic Depth

Visual perception plays a critical role in navigating 3D space and extracting semantic information crucial to survival. Even though visual stimulation on the retina is fundamentally 2D, we seem to perceive the world around us in vivid 3D effortlessly. This reconstructed 3D space is allocentric and faithfully represents the external 3D world. How can we recreate stable 3D visual space so promptly and reliably? To solve this mystery, we have developed new concepts MePMoS (Memory-Prediction-Motion-Sensing) and NHT (Neural Holography Tomography). These models state that visual signal processing must be primarily top-down, starting from memory and prediction. Our brains predict and construct the expected 3D space holographically using traveling alpha brainwaves. Thus, 3D space is represented by the three time signals in three directions. To test this hypothesis, we designed reaction time (RT) experiments to observe predicted space-to-time conversion, especially as a function of distance. We placed LED strips on a horizontal plane to cover distances from close up to 2.5 m or 5 m, either using a 1D or a 2D lattice. Participants were instructed to promptly report observed LED patterns at various distances. As expected, stimulation at the fixation cue location always gave the fastest RT. Additional RT delays were proportional to the distance from the cue. Furthermore, both covert attention (without eye movements) and overt attention (with eye movements) created the same RT delays, and both binocular and monocular views resulted in the same RTs. These findings strongly support our predictions, in which the observed RT-depth dependence is indicative of the spatiotemporal conversion required for constructing allocentric 3D space. After all, we perceive and measure 3D space by time as Einstein postulated a century ago.

neuroscience↗