Comparison of Rodent Infectious Agent Detection by Exhaust Dust Testing and Traditional Sentinel Testing Using Quantitative Polymerase Chain Reaction.

Improved diagnostic capabilities and a desire to reduce or refine the use of animals as soiled bedding sentinels (SBS) have driven interest in developing the use of PCR-based testing methods, such as exhaust dust testing (EDT), for routine rodent health surveillance. We compared the absolute and quantitative PCR results from EDT filters with SBS mice by routine screening via a panel of 19 infectious agents including agents known to be excluded or present in the colony. In this study, EDT and SBS were compared at days 0, 90, and 180 in 3 facilities (n = 12 rooms) with animals housed on IVC racks (n = 19 double-sided and 23 single-sided racks). All racks were negative for excluded agents (n = 15 agents) during the study. The bacterial agent Helicobacter spp. was consistently detected on EDT filters while less consistently detected via SBS. EDT filters detected Corynebacterium bovis better than SBS in areas where the agent was present. EDT filters and SBS mice tested for murine norovirus (MNV) demonstrated agreement for positive tests by both PCR and serology. For rodent chaphamaparvovirus-1 (RCHPV-1) we compared EDT to urine and feces from SBS. Six cages of SBS were positive for RCHPV-1 by fecal PCR with 5 out of 6 testing positive on urine, while only 3 out of 6 EDT filters tested positive. Since real-time fluorogenic PCR was used for testing, relative PCR copy numbers for each positive finding were evaluated to estimate organism load at the rack level. Copy numbers allowed for further characterization of agent presence within a colony. Furthermore, we compared copy numbers with cage census for MNV and Helicobacter spp., which was positively correlated for EDT testing but not for SBS. Overall, our results demonstrate that EDT's ability to detect many commonly excluded agents is comparable to or better than SBS.

Thermoneutral Housing Temperature Improves Survival in a Murine Model of Polymicrobial Peritonitis.

Regulatory guidelines mandate housing for laboratory mice at temperatures below their thermoneutral zone, creating chronic cold stress. However, increases in housing temperature could alter immune responses. We hypothesized housing mice at temperatures within their thermoneutral zone would improve sepsis survival and alter immune responses. Male C57BL/6 mice were housed at 22°C or 30°C after cecal ligation and puncture (CLP) for 10 days. Survival of mice housed at 30°C (78%) after CLP was significantly increased compared with mice housed at 22°C (40%). Experimental groups were repeated with mice euthanized at 0, 12, 24, and 48 h post-surgery to examine select immune parameters. Raising housing temperature minimally altered systemic, peritoneal, or splenic cell counts. However, IL-6 levels in plasma and peritoneal lavage fluid were significantly lower at 12 h post-surgery in mice housed at 30°C compared with 22°C. Bacterial colony counts from peritoneal lavage fluid were significantly lower in mice housed at 30°C and in vivo studies suggested this was the result of increased phagocytosis by neutrophils. As previously demonstrated, adoptive transfer of fibrocytes significantly increased sepsis survival compared with saline at 22°C. However, there was no additive effect when adoptive transfer was performed at 30°C. Overall, the results demonstrated that thermoneutral housing improves survival after CLP by increasing local phagocytic activity and technical revisions may be necessary to standardize the severity of the model across different housing temperatures. These findings stress the pronounced impact housing temperature has on the CLP model and the importance of reporting housing temperature.

Wavelet analysis of pulse-amplitude-modulated chlorophyll fluorescence for differentiation of plant samples.

Pulse-amplitude-modulated (PAM) chlorophyll fluorescence (ChlF) from photosystem II (PSII) of plants has been routinely measured for the analysis of photosynthesis and environmental changes. PAM ChlF from PSII is non-stationary and has time-varying frequency characteristics; however, existing analysis of PAM ChlF has been limited to selected characteristic values in the time domain. Wavelet transform is recognized as an efficient tool for analyzing non-stationary signals. In this research, an attempt was made to analyze PAM ChlF through wavelet transform. Features of PAM ChlF signals were computed from wavelet decomposition to classify two tree species and to detect chilling and detachment stresses. The wavelet-based features were compared with the commonly-used maximal PSII efficiency Fv/Fm. Both the wavelet-based features and Fv/Fm could effectively classify two tree species, but the former showed superiority than the latter in detecting the stresses. Wavelet transform revealed chilling stress earlier than Fv/Fm and detected detachment stress Fv/Fm failed to show. The results show that wavelet transform is a useful technique for analysis of PAM ChlF.