8 research outputs found

    Serous tubal intraepithelial neoplasia:The concept and its application

    No full text
    In recent years it has become clear that many extra-uterine (pelvic) high-grade serous carcinomas (serous carcinomas) are preceded by a precursor lesion in the distal fallopian tube. Precursors range from small self-limited 'p53 signatures' to expansile serous tubal intraepithelial neoplasms that include both serous tubal epithelial proliferations (or lesions) of uncertain significance and serous tubal intraepithelial carcinomas. These precursors can be considered from three perspectives. The first is biologic underpinnings, which are multifactorial, and include the intersection of DNA damage with Tp53 mutations and disturbances in transcriptional regulation that increase with age. The second perspective is the morphologic discovery and classification of intraepithelial neoplasms that are intercepted early in their natural history, either incidentally or in risk-reduction surgeries for germline mutations. For the practicing pathologist, as well as the investigators, a distinction between a primary intraepithelial neoplasm and an intramucosal carcinoma must be made to avoid misinterpreting (or underestimating) the significance of these proliferations. The third perspective is the application of this information to intervention, devising strategies that will actually lower the ovarian cancer death rate by opportunistic salpingectomy, widespread comprehensive genetic screening and early detection. Central to this issue are the questions of (1) whether some STICs are metastatic, (2) whether lower-grade epithelial proliferations can invade prior to evolving into intraepithelial carcinoma, or (3) metastasize and become malignant elsewhere ('precursor escape'). An important caveat is the persistent and unsettling reality that many high-grade serous carcinomas are not associated with an obvious point of initiation in the fallopian tube. The pathologist sits squarely in the midst of all of these issues, and has a pivotal role in managing expectations for stemming the death rate from this lethal disease

    Fetal Renal DNA Methylation and Developmental Programming of Stress-Induced Hypertension in Growth-Restricted Male Mice.

    No full text
    Fetal growth restriction (FGR) is associated with developmental programming of adult onset hypertension, which may be related to differences in nephron development. Prior studies showed that maternal nutrient restriction is associated with reduced nephrogenesis in rodents, especially in male progeny. We hypothesized that maternal genetic risk for FGR may similarly affect fetal kidney development, leading to adult onset hypertension. We employed an angiotensinogen (AGT) gene titration transgenic (TG) construct with 3 copies of the mouse AGT gene that mimics a common human genotype (AGT A[-6]G) associated with FGR. We investigated whether FGR in 2-copy (wild type, [WT]) progeny from 3-copy TG dams leads to developmental programming differences in kidney development and adult blood pressure compared with age- and sex-matched controls. Progeny were tested in the late fetal period (e17.5), neonatal period (2 weeks of age), and as young adults (12 weeks). We measured weights, tested for renal oxidative stress, compared renal DNA methylation profiles, counted the number of glomeruli, and measured adult blood pressure ± stress. Progeny from TG dams were growth restricted with evidence of renal oxidative stress, males showed fetal renal DNA hypermethylation, they had fewer glomeruli, and they developed stress-induced hypertension as adults. Their female siblings did not share this pathology and instead resembled progeny from WT dams. Surprisingly, glomerular counts in the neonatal period were not different between sexes or maternal genotypes. In turn, we suspect that differences in fetal renal DNA methylation may affect the long-term viability of glomeruli, rather than reducing nephrogenesis

    A Polycentric Approach for Coping with Climate Change

    No full text

    BioTIME:a database of biodiversity time series for the Anthropocene

    No full text
    Abstract Motivation: The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community‐led open‐source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene. Main types of variables included: The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record. Spatial location and grain: BioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km² (158 cm²) to 100 km² (1,000,000,000,000 cm²). Time period and grain: BioTIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year. Major taxa and level of measurement: BioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates. Software format: .csv and .SQL

    BioTIME:a database of biodiversity time series for the Anthropocene

    No full text
    Motivation: The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community led open-source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene.Main types of variables included: The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of two, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology andcontextual information about each record.Spatial location and grain: BioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km2 (158 cm2) to 100 km2 (1 000 000 000 000 cm2).Time period and grain: BioTIME records span from 1874 to 2016. The minimum temporal grain across all datasets in BioTIME is year.Major taxa and level of measurement: BioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton, and terrestrial invertebrates to small and large vertebrates.Software format: .csv and .SQ
    corecore