Rats chronically exposed to environmentally relevant levels of lead (Pb(2+)) and controls were tested in a fear-conditioning (FC) paradigm
at 50 days of age (PN50). Littermates to FC rats received an immediate shock (IS) when placed in the test box with no tone. Blood Pb(2+) levels in control and Pb(2+)-exposed animals were (mean +/- S.E.M.): 0.76 +/- 0.11 (n = 15) and 25.8 +/- 1.28 mu g/dL (n = 14). Freezing behavior was recorded during acquisition (day of training) or during 4 consecutive extinction days. Control and Pb(2+)-exposed FC rats exhibited the same level of freezing time on the acquisition day. No freezing behavior Mdivi1 purchase occurred in IS rats regardless of treatment. Presentation of context 24 h later produced a freezing response on both control
and Pb(2+)-exposed FC rats but not in IS rats. When tested in the extinction phase, Pb(2+)-exposed FC rats exhibited deficits in extinction compared to control FC rats. That is, when presented with context on 4 consecutive days after acquisition of the fear response, Pb(2+)-exposed FC rats exhibited a greater freezing response than control FC rats. These findings indicate that chronic Pb(2+) exposure produces a deficit in extinction learning and the animals remain more fearful than controls. (C) 2008 Elsevier Inc. All rights reserved.”
“An agent-based model of bacteria-antibiotic interactions has been developed that
incorporates the antibiotic-resistance mechanisms of Methicillin-Resistant Staphylococcus aureus (MRSA). The model, called VE-821 concentration the Micro-Gen Bacterial Simulator, uses information about the cell biology of bacteria to produce global information about population growth in different environmental conditions. It facilitates a detailed systems-level investigation of the dynamics involved in bacteria-antibiotic interactions and a means to relate this information to traditional high-level proper-ties such as the Minimum most Inhibitory Concentration (MIC) of an antibiotic. The two main resistance strategies against beta-lactam antibiotics employed by MRSA were incorporated into the model: beta-lactamase enzymes, which hydrolytically cleave antibiotic molecules, and penicillin-binding proteins (PBP2a) with reduced binding affinities for antibiotics. Initial tests with three common antibiotics (penicillin, ampicillin and cephalothin) indicate that the model can be used to generate quantitatively accurate predictions of MICs for antibiotics against different strains of MRSA from basic cellular and biochemical information. Furthermore, by varying key parameters in the model, the relative impact of different kinetic parameters associated with the two resistance mechanisms to beta-lactam antibiotics on cell survival in the presence of antibiotics was investigated. (C) 2008 Elsevier Ltd. All rights reserved.