Matrix metalloproteinases (MMP) are a family of enzymes with a myriad of functions. Lately, we have come to realize that broad-spectrum inhibition of these enzymes, as was tried unsuccessfully in multiple phase III trials in cancer patients, is likely unwise given the protumorigenic and antitumorigenic functions of various family members. Here, we used the multistage mammary tumor model MMTV-PyVT to investigate roles for either MMP7 or MMP9 in tumor progression. We found no effect of genetic ablation of MMP7 or MMP9 on the multifocal tumors that developed in the mammary glands. Lack of MMP7 also had no effect on the development of lung metastases, suggesting that MMP7 is irrelevant in this model. In contrast, MMP9 deficiency was associated with an 80% decrease in lung tumor burden. The predominant cellular source of MMP9 was myeloid cells, with neutrophils being the largest contributor in tumor-bearing lungs. Experimental metastasis assays corroborated the role of host-derived MMP9 in lung metastasis and also facilitated determination of a time frame most relevant for the MMP9-mediated effect. The lung tumors from MMP9-deficient mice showed decreased angiogenesis. Surprisingly, the antimetastatic outcome of MMP9 ablation seemed to be dependent on strain. Only mice that had genetic background derived from C57BL/6 showed reduced metastasis, whereas mice fully of the FVB/N background showed no significant effect. These strain-specific responses were also observed in a study using a highly selective pharmacologic inhibitor of MMP9 and thus suggest that responses to MMP inhibition are controlled by genetic differences. [Cancer Res 2008;68(15):6251-9]

Two tick-borne diseases with expanding case and vector distributions are ehrlichiosis (transmitted by Amblyomma americanum) and rickettiosis (transmitted by A. maculatum and Dermacentor variabilis). There is a critical need to identify the specific habitats where each of these species is likely to be encountered to classify and pinpoint risk areas. Consequently, an in-depth tick prevalence study was conducted on the dominant ticks in the southeast. Vegetation, soil, and remote sensing data were used to test the hypothesis that habitat and vegetation variables can predict tick abundances. No variables were significant predictors of A. americanum adult and nymph tick abundance, and no clustering was evident because this species was found throughout the study area. For A. maculatum adult tick abundance was predicted by NDVI and by the interaction between habitat type and plant diversity; two significant population clusters were identified in a heterogeneous area suitable for quail habitat. For D. variabilis no environmental variables were significant predictors of adult abundance; however, D. variabilis collections clustered in three significant areas best described as agriculture areas with defined edges. This study identified few landscape and vegetation variables associated with tick presence. While some variables were significantly associated with tick populations, the amount of explained variation was not useful for predicting reliably where ticks occur; consequently, additional research that includes multiple sampling seasons and locations throughout the southeast are warranted. This low amount of explained variation may also be due to the use of hosts for dispersal, and potentially to other abiotic and biotic variables. Host species play a large role in the establishment, maintenance, and dispersal of a tick species, as well as the maintenance of disease cycles, dispersal to new areas, and identification of risk areas.

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The Oak Ridge National Laboratory (ORNL) is the largest and most diverse energy, research, and development institution within the Department of Energy (DOE) system in the United States. As such, the site endures constant land development that creates rigorous growing conditions for urban vegetation. Natural resource managers at ORNL recognize that trees are an integral component of the landscape and are interested in characterizing the urban forest and their associated ecosystem services benefits. We evaluated the urban forest structure, quantified ecosystem services and benefits, and estimated economic value of resources using i-Tree Eco at ORNL. While this assessment captured over 1100 landscape trees, the ORNL Natural Resources Management for landscape vegetation can be expanded to include unmanaged landscapes, e.g. riparian areas, greenspace, and other vegetative attributes to increase ecosystem services benefits. Assigning a monetary value to urban forest benefits help to inform decisions about urban forest management, ideally on cost-benefit analysis.

No abstract