Alteration of the chronic wasting disease species barrier by in vitro prion amplification.

Chronic wasting disease (CWD) is a transmissible spongiform encephalopathy (TSE) of cervids now detected in 19 states of the United States, three Canadian provinces, and South Korea. Whether noncervid species can be infected by CWD and thereby serve as reservoirs for the infection is not known. To investigate this issue, we previously used serial protein misfolding cyclic amplification (sPMCA) to demonstrate that CWD prions can amplify in brain homogenates from several species sympatric with cervids, including prairie voles (Microtus ochrogaster) and field mice (Peromyscus spp.). Here, we show that prairie voles are susceptible to mule deer CWD prions in vivo and that sPMCA amplification of CWD prions in vole brain enhances the infectivity of CWD for this species. Prairie voles inoculated with sPMCA products developed clinical signs of TSE disease approximately 300 days prior to, and more consistently than, those inoculated with CWD prions from deer brain. Moreover, the deposition patterns and biochemical properties of protease-resistant form of PrP (PrP(RES)) in the brains of affected voles differed from those in cervidized transgenic (CerPrP) mice infected with CWD. In addition, voles inoculated orally with sPMCA products developed clinical signs of TSE and were positive for PrP(RES) deposition, whereas those inoculated orally with deer-origin CWD prions did not. These results demonstrate that transspecies sPMCA of CWD prions can enhance the infectivity and adapt the host range of CWD prions and thereby may be useful to assess determinants of prion species barriers.

The effect of swab sample choice on the detection of avian influenza in apparently healthy wild ducks.

Historically, avian influenza viruses have been isolated from cloacal swab specimens, but recent data suggest that the highly pathogenic avian influenza (HPAI) H5N1 virus can be better detected from respiratory tract specimens. To better understand how swab sample type affects the detection ability of low pathogenic avian influenza (LPAI) viruses we collected and tested four swab types: oropharyngeal swabs (OS), cloacal swabs (CS), the two swab types combined in the laboratory (LCS), and the two swab types combined in the field (FCS). A total of 1968 wild waterfowl were sampled by each of these four methods and tested for avian influenza virus using matrix gene reverse-transcription (RT)-PCR. The highest detection rate occurred with the FCS (4.3%) followed by the CS (4.0%). Although this difference did not achieve traditional statistical significance, Bayesian analysis indicated that FCS was superior to CS with an 82% probability. The detection rates for both the LCS (2.4%) and the OS (0.4%) were significantly different from the FCS. In addition, every swab type that was matrix RT-PCR positive was also tested for recovery of viable influenza virus. This protocol reduced the detection rate, but the ordering of swab types remained the same: 1.73% FCS, 1.42% CS, 0.81% LCS, and 0% OS. Our data suggest that the FCS performed at least as well as any other swab type for detecting LPAI viruses in the wild ducks tested. When considering recent studies showing that HPAI H5N1 can be better detected in the respiratory tract, the FCS is the most appropriate sample to collect for HPAI H5N1 surveillance while not compromising LPAI studies.

Chronic wasting disease (CWD) susceptibility of several North American rodents that are sympatric with cervid CWD epidemics.

Chronic wasting disease (CWD) is a highly contagious always fatal neurodegenerative disease that is currently known to naturally infect only species of the deer family, Cervidae. CWD epidemics are occurring in free-ranging cervids at several locations in North America, and other wildlife species are certainly being exposed to infectious material. To assess the potential for transmission, we intracerebrally inoculated four species of epidemic-sympatric rodents with CWD. Transmission was efficient in all species; the onset of disease was faster in the two vole species than the two Peromyscus spp. The results for inocula prepared from CWD-positive deer with or without CWD-resistant genotypes were similar. Survival times were substantially shortened upon second passage, demonstrating adaptation. Unlike all other known prion protein sequences for cricetid rodents that possess asparagine at position 170, our red-backed voles expressed serine and refute previous suggestions that a serine in this position substantially reduces susceptibility to CWD. Given the scavenging habits of these rodent species, the apparent persistence of CWD prions in the environment, and the inevitable exposure of these rodents to CWD prions, our intracerebral challenge results indicate that further investigation of the possibility of natural transmission is warranted.

Elodontoma in captive southern red-backed voles (Myodes gapperi).

Five southern red-backed voles (Myodes gapperi) of the first generation of a wild-caught breeding colony were presented with lesions at the maxillary incisors consistent with elodontoma. The affected animals had a history of chronic weight loss, were >16 months of age, and were siblings. Radiographs of the head showed multiglobular to irregularly outlined mineral opacity masses at the apices of the maxillary incisors. On necropsy, maxillary incisor teeth were not grossly visible, and a gingival ulceration was observed at the expected site of eruption. Microscopically, the apical region of the maxillary incisors was thickened or replaced by irregular dental tissue masses consistent with elodontoma. This is the first report to describe elodontoma in red-backed voles.

Spatial and temporal patterns of chronic wasting disease: fine-scale mapping of a wildlife epidemic in Wisconsin.

Emerging infectious diseases threaten wildlife populations and human health. Understanding the spatial distributions of these new diseases is important for disease management and policy makers; however, the data are complicated by heterogeneities across host classes, sampling variance, sampling biases, and the space-time epidemic process. Ignoring these issues can lead to false conclusions or obscure important patterns in the data, such as spatial variation in disease prevalence. Here, we applied hierarchical Bayesian disease mapping methods to account for risk factors and to estimate spatial and temporal patterns of infection by chronic wasting disease (CWD) in white-tailed deer (Odocoileus virginianus) of Wisconsin, U.S.A. We found significant heterogeneities for infection due to age, sex, and spatial location. Infection probability increased with age for all young deer, increased with age faster for young males, and then declined for some older animals, as expected from disease-associated mortality and age-related changes in infection risk. We found that disease prevalence was clustered in a central location, as expected under a simple spatial epidemic process where disease prevalence should increase with time and expand spatially. However, we could not detect any consistent temporal or spatiotemporal trends in CWD prevalence. Estimates of the temporal trend indicated that prevalence may have decreased or increased with nearly equal posterior probability, and the model without temporal or spatiotemporal effects was nearly equivalent to models with these effects based on deviance information criteria. For maximum interpretability of the role of location as a disease risk factor, we used the technique of direct standardization for prevalence mapping, which we develop and describe. These mapping results allow disease management actions to be employed with reference to the estimated spatial distribution of the disease and to those host classes most at risk. Future wildlife epidemiology studies should employ hierarchical Bayesian methods to smooth estimated quantities across space and time, account for heterogeneities, and then report disease rates based on an appropriate standardization.

Estimating cause-specific mortality rates using recovered carcasses.

Stranding networks, in which carcasses are recovered and sent to diagnostic laboratories for necropsy and determination of cause of death, have been developed to monitor the health of marine mammal and bird populations. These programs typically accumulate comprehensive, long-term datasets on causes of death that can be used to identify important sources of mortality or changes in mortality patterns that lead to management actions. However, the utility of these data in determining cause-specific mortality rates has not been explored. We present a maximum likelihood-based approach that partitions total mortality rate, estimated by independent sources, into cause-specific mortality rates. We also demonstrate how variance estimates are derived for these rates. We present examples of the method using mortality data for California sea otters (Enhydra lutris nereis) and Florida manatees (Trichechus manatus latirostris).

Hemorrhage progressively disturbs interalveolar perfusion in the lungs of rats.

Acute hemorrhage is often followed by devastating lung injury. However, why blood loss should lead to lung injury is not known. One possibility is that hemorrhage rapidly disturbs the distribution of microvascular perfusion at the alveolar level, which may be a triggering event for subsequent injury. We showed previously that a 30% blood loss in rats caused significant maldistribution of interalveolar perfusion within 45 min (J Trauma 60:158, 2006). In this report, we describe results of further exploration of this phenomenon. We wanted to know if perfusion distribution was disturbed at 15 min, when vascular pressures were significantly reduced by the blood loss, compared with those at 45 min, when the pressures had returned substantially toward normal. We hemorrhaged rats by removing 30% of their blood volume. We quantified interalveolar perfusion distribution by statistically analyzing the trapping patterns of 4-microm-diameter fluorescent latex particles infused into the pulmonary circulation 15 (red particles) and 45 min (green particles) after blood removal. We used confocal fluorescence microscopy to digitally image the trapping patterns in sections of the air-dried lungs and used pattern analysis to quantify the patterns in tissue image volumes that ranged from 1,300 alveoli to less than 1 alveolus. LogDI, a measure of perfusion maldistribution, increased from 1.00 +/- 0.15 at 15 min after blood loss to 1.62 +/- 0.24 at 45 min (P < 0.001). These values were 0.86 +/- 0.22 (15 min) and 1.12 +/- 0.24 (45 min) in control rats (P = 0.03). Hemorrhage caused the green (45 min)-to-red (15 min) particle distance to decrease from 35.9 +/- 6.5 to 28.0 +/- 5.1 microm (P = 0.024) and the red-to-green particle distance to remain unchanged (30.2 +/- 5.7 microm [red]; 31.5 +/- 10.0 microm [green] [n.s.]). We conclude that hemorrhage caused a progressive increase in interalveolar perfusion maldistribution over 45 min that did not correspond to reduced arterial pressures or altered blood gases. Our particle distance measurements led us to further conclude that this maldistribution occurred in areas that were perfused at 15 min rather than in previously unperfused areas .

Acute hypoxia does not alter inter-alveolar perfusion distribution in unanesthetized rats.

Effects of hypoxic vasoconstriction on inter-alveolar perfusion distribution (< or =1000 alveoli) have not been studied. To address this, we measured inter-alveolar perfusion distribution in the lungs of unanesthetized rats breathing 10% O(2). Perfusion distributions were measured by analyzing the trapping patterns of 4 microm diameter fluorescent latex particles infused into the pulmonary circulation. The trapping patterns were statistically quantified in confocal images of the dried lungs. Trapping patterns were measured in lung volumes that ranged between less than 1 and 1300 alveoli, and were expressed as the log of the dispersion index (logDI). A uniform (statistically random) perfusion distribution corresponds to a logDI value of zero. The more this value exceeds zero, the more the distribution is clustered (non-random). At the largest tissue volume (1300 alveoli) logDI reached a maximum value of 0.68+/-0.42 (mean+/-s.d.) in hypoxic rats (n = 6), 0.50+/-0.38 in hypercapnic rats (n.s.) and 0.48+/-0.25 in air-breathing controls (n.s.). Our results suggest that acute hypoxia did not cause significant changes in inter-alveolar perfusion distribution in unanesthetized, spontaneously breathing rats.

Using amplified fragment length polymorphism analysis to differentiate isolates of Pasteurella multocida serotype 1.

Avian cholera, an infectious disease caused by the bacterium Pasteurella multocida, kills thousands of North American wild waterfowl annually. Pasteurella multocida serotype 1 isolates cultured during a laboratory challenge study of Mallards (Anas platyrhynchos) and collected from wild birds and environmental samples during avian cholera outbreaks were characterized using amplified fragment length polymorphism (AFLP) analysis, a whole-genome DNA fingerprinting technique. Comparison of the AFLP profiles of 53 isolates from the laboratory challenge demonstrated that P. multocida underwent genetic changes during a 3-mo period. Analysis of 120 P. multocida serotype 1 isolates collected from wild birds and environmental samples revealed that isolates were distinguishable from one another based on regional and temporal genetic characteristics. Thus, AFLP analysis had the ability to distinguish P. multocida isolates of the same serotype by detecting spatiotemporal genetic changes and provides a tool to advance the study of avian cholera epidemiology. Further application of AFLP technology to the examination of wild bird avian cholera outbreaks may facilitate more effective management of this disease by providing the potential to investigate correlations between virulence and P. multocida genotypes, to identify affiliations between bird species and bacterial genotypes, and to elucidate the role of specific bird species in disease transmission.

Using expert knowledge to incorporate uncertainty in cause-of-death assignments for modeling of cause-specific mortality.

Implicit and explicit use of expert knowledge to inform ecological analyses is becoming increasingly common because it often represents the sole source of information in many circumstances. Thus, there is a need to develop statistical methods that explicitly incorporate expert knowledge, and can successfully leverage this information while properly accounting for associated uncertainty during analysis. Studies of cause-specific mortality provide an example of implicit use of expert knowledge when causes-of-death are uncertain and assigned based on the observer's knowledge of the most likely cause. To explicitly incorporate this use of expert knowledge and the associated uncertainty, we developed a statistical model for estimating cause-specific mortality using a data augmentation approach within a Bayesian hierarchical framework. Specifically, for each mortality event, we elicited the observer's belief of cause-of-death by having them specify the probability that the death was due to each potential cause. These probabilities were then used as prior predictive values within our framework. This hierarchical framework permitted a simple and rigorous estimation method that was easily modified to include covariate effects and regularizing terms. Although applied to survival analysis, this method can be extended to any event-time analysis with multiple event types, for which there is uncertainty regarding the true outcome. We conducted simulations to determine how our framework compared to traditional approaches that use expert knowledge implicitly and assume that cause-of-death is specified accurately. Simulation results supported the inclusion of observer uncertainty in cause-of-death assignment in modeling of cause-specific mortality to improve model performance and inference. Finally, we applied the statistical model we developed and a traditional method to cause-specific survival data for white-tailed deer, and compared results. We demonstrate that model selection results changed between the two approaches, and incorporating observer knowledge in cause-of-death increased the variability associated with parameter estimates when compared to the traditional approach. These differences between the two approaches can impact reported results, and therefore, it is critical to explicitly incorporate expert knowledge in statistical methods to ensure rigorous inference.

The fitting of general force-of-infection models to wildlife disease prevalence data.

Researchers and wildlife managers increasingly find themselves in situations where they must deal with infectious wildlife diseases such as chronic wasting disease, brucellosis, tuberculosis, and West Nile virus. Managers are often charged with designing and implementing control strategies, and researchers often seek to determine factors that influence and control the disease process. All of these activities require the ability to measure some indication of a disease's foothold in a population and evaluate factors affecting that foothold. The most common type of data available to managers and researchers is apparent prevalence data. Apparent disease prevalence, the proportion of animals in a sample that are positive for the disease, might seem like a natural measure of disease's foothold, but several properties, in particular, its dependency on age structure and the biasing effects of disease-associated mortality, make it less than ideal. In quantitative epidemiology, the "force of infection," or infection hazard, is generally the preferred parameter for measuring a disease's foothold, and it can be viewed as the most appropriate way to "adjust" apparent prevalence for age structure. The typical ecology curriculum includes little exposure to quantitative epidemiological concepts such as cumulative incidence, apparent prevalence, and the force of infection. The goal of this paper is to present these basic epidemiological concepts and resulting models in an ecological context and to illustrate how they can be applied to understand and address basic epidemiological questions. We demonstrate a practical approach to solving the heretofore intractable problem of fitting general force-of-infection models to wildlife prevalence data using a generalized regression approach. We apply the procedures to Mycobacterium bovis (bovine tuberculosis) prevalence in bison (Bison bison) in Wood Buffalo National Park, Canada, and demonstrate strong age dependency in the force of infection as well as an increased mortality hazard in positive animals.

Positive serum cryoglobulin is associated with worse outcome after liver transplantation for chronic hepatitis C.

BACKGROUND: Recurrent hepatitis C virus (HCV) infection in patients after liver transplantation is an important clinical problem. Because serum cryoglobulins (CG) are known to be associated with an increased incidence of cirrhosis in nontransplant patients, the authors tested the hypothesis that CG would also predict aggressive recurrent HCV in patients after liver transplantation. METHODS: Using a longitudinal database, the outcomes of 105 allografts transplanted into 97 HCV-positive patients from 1991 through 2002 were analyzed on the basis of CG status using a retrospective cohort design. Fifty-nine CG-negative and 38 CG-positive patients were identified. Histologic outcomes and graft survival were analyzed using Kaplan-Meier estimates and Cox univariate and multivariate analyses. Both overall survival and HCV-specific survival (non-HVC-related deaths and graft losses censored) were analyzed. RESULTS: By Kaplan-Meier estimates, CG-positive patients showed earlier graft failure with decreased time to severe histologic activity and fibrosis as compared with CG-negative patients (P<0.05 for all outcomes). By univariate analysis, CG-positive patients had significantly higher risk ratios for shortened HCV-specific graft survival, severe activity-free survival, and severe fibrosis-free survival as compared with CG-negative patients (P<0.05 for all outcomes). In the multivariate model, CG was an independent predictor for severe activity-free, severe fibrosis-free, and HCV-specific graft survival (P<0.05 for all outcomes). CONCLUSIONS: CG-positivity is associated with severe recurrent HCV disease in liver transplant recipients.

Integrated survival analysis using an event-time approach in a Bayesian framework.

Event-time or continuous-time statistical approaches have been applied throughout the biostatistical literature and have led to numerous scientific advances. However, these techniques have traditionally relied on knowing failure times. This has limited application of these analyses, particularly, within the ecological field where fates of marked animals may be unknown. To address these limitations, we developed an integrated approach within a Bayesian framework to estimate hazard rates in the face of unknown fates. We combine failure/survival times from individuals whose fates are known and times of which are interval-censored with information from those whose fates are unknown, and model the process of detecting animals with unknown fates. This provides the foundation for our integrated model and permits necessary parameter estimation. We provide the Bayesian model, its derivation, and use simulation techniques to investigate the properties and performance of our approach under several scenarios. Lastly, we apply our estimation technique using a piece-wise constant hazard function to investigate the effects of year, age, chick size and sex, sex of the tending adult, and nesting habitat on mortality hazard rates of the endangered mountain plover (Charadrius montanus) chicks. Traditional models were inappropriate for this analysis because fates of some individual chicks were unknown due to failed radio transmitters. Simulations revealed biases of posterior mean estimates were minimal (≤ 4.95%), and posterior distributions behaved as expected with RMSE of the estimates decreasing as sample sizes, detection probability, and survival increased. We determined mortality hazard rates for plover chicks were highest at <5 days old and were lower for chicks with larger birth weights and/or whose nest was within agricultural habitats. Based on its performance, our approach greatly expands the range of problems for which event-time analyses can be used by eliminating the need for having completely known fate data.

Experimental infection of meadow voles (Microtus pennsylvanicus) with sheep scrapie.

Meadow voles (Microtus pennsylvanicus) are permissive to chronic wasting disease (CWD) infection, but their susceptibility to other transmissible spongiform encephalopathies (TSEs) is poorly characterized. In this initial study, we intracerebrally challenged 6 meadow voles with 2 isolates of sheep scrapie. Three meadow voles acquired a TSE after the scrapie challenge and an extended incubation period. The glycoform profile of proteinase K-resistant prion protein (PrP(res)) in scrapie-sick voles remained similar to the sheep inocula, but differed from that of voles clinically affected by CWD. Vacuolization patterns and disease-associated prion protein (PrP(Sc)) deposition were generally similar in all scrapie-affected voles, except in the hippocampus, where PrP(Sc) staining varied markedly among the animals. Our results demonstrate that meadow voles can acquire a TSE after intracerebral scrapie challenge and that this species could therefore prove useful for characterizing scrapie isolates.

Les campagnols des champs (Microtus pennsylvanicus) sont permissifs à l'infection par l'agent de la maladie débilitante chronique (MDC), mais leur susceptibilité aux autres encéphalopathies spongiformes transmissibles (EST) est peu caractérisée. Dans cette première étude, six campagnols ont été inoculés par voie intracérébrale avec deux isolats de l'agent de la tremblante du mouton. Trois campagnols ont présenté une EST suite à l'inoculation de l'agent de la tremblante après une période d'incubation prolongée. Le profil glycoforme de la protéine prion résistante à la protéinase K (PrPres) chez les campagnols atteints demeura similaire à celui de l'inoculum ovin, mais différait de celui des campagnols affectés cliniquement de MDC. Les patrons de vacuolisation et le dépôt de protéine prion associée à la maladie (PrPSc) étaient généralement similaires chez tous les campagnols affectés de tremblante, à l'exception de l'hippocampe, où la coloration de PrPSc variait de façon marquée parmi les animaux. Ces résultats démontrent que les campagnols peuvent souffrir d'EST après inoculation intracérébrale de l'agent de la tremblante et que cette espèce pourrait s'avérer utile pour caractériser les isolats de l'agent de la tremblante.(Traduit par Docteur Serge Messier).

Association of cytomegalovirus disease and acute rejection with graft loss in kidney transplantation.

BACKGROUND: Cytomegalovirus (CMV) and acute rejection (AR) alone have been associated with an increased risk of graft loss in kidney transplantation. However, little is known about their association with graft loss when both affect the transplant recipient. METHODS: By using the dynamic time-varying covariate approach to the Cox-proportional hazards model, we retrospectively analyzed the strength of association of AR and CMV disease on graft loss in a single-center kidney and simultaneous pancreas-kidney transplant population. RESULTS: Between January 1990 and December 2000, 2,740 kidney and simultaneous pancreas-kidney transplants were performed at the authors' center. The overall 5-year incidence of biopsy-proven AR and CMV disease was 45.8% (n=1,254) and 15.3% (n=420), respectively. The risk ratio (RR) for graft loss was increased by the presence of AR (RR=3.7; P<0.0001), CMV disease (RR=1.9; P=0.0007), AR following CMV disease (RR=6.6; P<0.0001), and CMV disease following AR (RR=3.3; P<0.0001). In patients with AR and CMV disease the average time until AR occurred was longer (441 days) when AR followed CMV disease in comparison with when AR preceded CMV disease (47 days). After adjusting for time-dependent risk of AR for kidney graft loss, the order of AR and CMV disease had no association with graft loss (RR=1.2; P=0.5055). CONCLUSIONS: These results demonstrate the strength of AR and CMV disease as prognosticators of impeding kidney graft loss in transplant recipients. Although AR usually precedes CMV disease, the order of AR and CMV disease has no impact on kidney graft loss in kidney and simultaneous pancreas-kidney transplant recipients.

Underutilization of pancreas donors.

BACKGROUND: Transplantation of the pancreas has become the treatment of choice for selected patients with type 1 diabetes mellitus. With the current shortage of cadaver donors and the increasing number of diabetic patients on the transplant waiting list, there is a critical need to optimally use all available pancreas grafts for transplantation. We have therefore explored the use of traditionally "less-than-ideal" pancreas donors, including pediatric (4-10 years), older (>or=45 years), obese (weight >or=200 lb), and non-heart-beating donors and donors with an elevated amylase (75% greater than normal values). METHODS: A total of 620 primary simultaneous pancreas-kidney transplantations were performed at our center. We analyzed the ratio of livers to pancreata transplanted at our center and compared this to the United Network for Organ Sharing database. Using univariate and multivariate analyses, we then assessed the impact of these less-than-ideal donors on patient survival, graft survival, and postsurgical complications after simultaneous pancreas-kidney transplantation. RESULTS: A substantial nationwide underutilization of pancreata from donor procurements is demonstrated in the United Network for Organ Sharing database. By using these less-than-ideal donors, the ratio of liver to pancreata procured can be reduced to 1.25:1. Graft survival was not significantly different in patients receiving transplants from obese, non-heart-beating, pediatric, or hyperamylasemic donors compared with grafts from ideal donors. However, grafts from donors 45 years of age or older had significantly lower 1- and 5-year graft survival rates (76% and 65% vs. 90% and 80%, P=0.006). CONCLUSIONS: This study demonstrates that utilization of pancreas grafts from selected, less-than-ideal donors results in good overall outcomes and could potentially expand the organ donor pool.

Chronic allograft nephropathy uniformly affects recipients of cadaveric, nonidentical living-related, and living-unrelated grafts.

BACKGROUND: Chronic allograft nephropathy (CAN) remains a major barrier to long-term allograft survival. The authors retrospectively compared the development of CAN in recipients of cadaveric (CAD), living-related donor (LRD), and living-unrelated donor (LURD) transplants at their center. METHODS: The authors retrospectively examined the impact of various factors on the incidence of CAN using univariate and multivariate proportional hazards analysis in a single-center kidney transplant population. RESULTS: Between 1 January 1990 and 31 May 2000, 2,140 kidney-alone transplants were performed at the authors' center. The overall 5-year incidence of biopsy-proven CAN was 12.2% (n=203). Risk factors for CAN included the number of transplants (P=0.0001), acute rejection (P=0.0001), panel reactive antibody (P=0.0001), discharge creatinine (P=0.0001), 1-year creatinine (P=0.0015), delayed graft function (P=0.007), total human leukocyte antigen (HLA)-B and -DR mismatches (P=0.0005), recipient age (P=0.003), black donor race (P=0.001), black recipient race (0.0457), donor age (P=0.0053), cold storage time (P=0.019), and cytomegalovirus infections (P=0.002). Interestingly, although the LRD HLA-identical recipients had a significantly lower incidence of CAN (P=0.0015), the incidence of CAN in CAD and HLA-nonidentical LRD recipients did not differ. Graft survival was significantly worse in CAD recipients compared with all other groups (P<0.001). CONCLUSIONS: These results demonstrate the importance of immunologic and nonimmunologic factors on the development of CAN. The disparities in overall graft survival, despite the similarities in CAN rates, suggests that other factors, in addition to CAN, influence the increase in graft loss in CAD transplant recipients.

Alterations in the p16/pRb cell cycle checkpoint occur commonly in primary and metastatic human prostate cancer.

We examined the status of a cell cycle checkpoint by immunohistochemically staining for p16 and pRb using multiple tissue arrays generated from 49 primary and 23 hormone-sensitive metastatic human prostate cancers. We find that p16, a cell cycle inhibitor, is paradoxically overexpressed in 83% of proliferating primary prostate cancers and increased expression correlates with a more rapid treatment failure (P=0.01) and a higher histologic grade (P=0.001). pRb staining is heterogeneous, loses expression infrequently (19%), and does not correlate with p16 expression. Loss of either p16 or pRb expression is found significantly (P=0.01) more commonly (55%) in metastatic specimens. The remarkable frequency of p16/pRb alterations and strong clinical associations implicates inactivation of this pathway as a critical determinant in prostate cancer progression.

Subfailure damage in ligament: a structural and cellular evaluation.

Subfailure damage in ligaments was evaluated macroscopically from a structural perspective (referring to the entire ligament as a structure) and microscopically from a cellular perspective. Freshly harvested rat medial collateral ligaments (MCLs) were used as a model in ex vivo experiments. Ligaments were preloaded with 0.1 N to establish a consistent point of reference for length (and strain) measurements. Ligament structural damage was characterized by nonrecoverable difference in tissue length after a subfailure stretch. The tissue's mechanical properties (via stress vs. strain curves measured from a preloaded state) after a single subfailure stretch were also evaluated (n = 6 pairs with a different stretch magnitude applied to each stretched ligament). Regions containing necrotic cells were used to characterize cellular damage after a single stretch. It should be noted that the number of damaged cells was not quantified and the difference between cellular area and area of fluorescence is not known. Structural and cellular damage were represented and compared as functions of subfailure MCL strains. Statistical analysis indicated that the onset of structural damage occurs at 5.14% strain (referenced from a preloaded length). Subfailure strains above the damage threshold changed the shape of the MCL stress-strain curve by elongating the toe region (i.e., increasing laxity) as well as decreasing the tangential modulus and ultimate stress. Cellular damage was induced at ligament strains significantly below the structural damage threshold. This cellular damage is likely to be part of the natural healing process in mildly sprained ligaments.

Perfusion heterogeneity in rat lungs assessed from the distribution of 4-microm-diameter latex particles.

Pulmonary vascular perfusion has been shown to follow a fractal distribution down to a resolution of 0.5 cm(3) (5E11 microm(3)). We wanted to know whether this distribution continued down to tissue volumes equivalent to that of an alveolus (2E5 microm(3)). To investigate this, we used confocal microscopy to analyze the spatial distribution of 4-microm-diameter fluorescent latex particles trapped within rat lung microvessels. Particle distributions were analyzed in tissue volumes that ranged from 1.7E2 to 2.8E8 microm(3). The analysis resulted in fractal plots that consisted of two slopes. The left slope, encompassing tissue volumes less than 7E5 microm(3), had a fractal dimension of 1.50 +/- 0.03 (random distribution). The right slope, encompassing tissue volumes greater than 7E5 microm(3), had a fractal dimension of 1.29 +/- 0.04 (nonrandom distribution). The break point at 7E5 microm(3) corresponds closely to a tissue volume equivalent to that of one alveolus. We conclude that perfusion distribution is random at tissue volumes less than that of an alveolus and nonrandom at tissue volumes greater than that of an alveolus.