Infection of Human Coronary Artery Endothelial Cells by Group B Streptococcus Contributes to Dysregulation of Apoptosis, Hemostasis, and Innate Immune Responses

Early onset sepsis due to group B streptococcus leads to neonatal morbidity, increased mortality, and long-term neurological deficencies. Interaction between septicemic GBS and confluent monolayers of human coronary artery endothelial cells (HCAECs) was analyzed by genome wide expression profiling. In total, 124 genes were differentially expressed (89 upregulated, 35 downregulated) based on a more than 3-fold difference to control HCAEC. Regulated genes are involved in apoptosis, hemostasis, oxidative stress response, infection, and inflammation. Regulation of selected genes and proteins identified in the gene array analysis was confirmed by Real-time RT-PCR assay (granulocyte chemotactic protein 2), ELISA (urokinase, cyclooxygenase 2, granulocyte chemotactic protein 1), and western blotting (Heme oxygenase1, BCL2 interacting protein) at various time points between 4 and 24 hours. These results indicate that GBS infection might influence signalling pathways leading to impaired function of the innate immune system and hemorrhagic and inflammatory complications during GBS sepsis

Regional-scale vertical fluxes from an optical-microwave scintillometer during FESSTVAL 2021

Abstract: This data set contains time series of the regional-scale sensible and latent heat fluxes derived from measurements with an optical-microwave scintillometer over a path length of 4.85 km between the Falkenberg boundary layer field site (GM Falkenberg) and the Lindenberg observatory site during the Field Experiment on Sub-mesoscale Spatio-Temporal Variability in Lindenberg (FESSTVaL) from May 18 to August 31, 2021. The Lindenberg Meteorological Observatory – Richard-Aßmann-Observatory and the GM Falkenberg supersites are operated by the German national meteorological service (Deutscher Wetterdienst, DWD). Data are level-2 data as 10-minute averages. TableOfContents: Surface Upward Sensible Heat Flux; Surface Upward Sensible Heat Flux Qualiy Flag; Surface Upward Latent Heat Flux; Surface Upward Latent Heat Flux Quality Flag Technical Info: dimension: 144 x 1; temporalExtent_startDate: 2021-05-18 00:00:00; temporalExtent_endDate: 2021-08-31 23:59:59; temporalResolution: 10; temporalResolutionUnit: minutes; spatialResolution: none; spatialResolutionUnit: none; horizontalResolutionXdirection: none; horizontalResolutionXdirectionUnit: none; horizontalResolutionYdirection: none; horizontalResolutionYdirectionUnit: none; verticalResolution: none; verticalResolutionUnit: meters; horizontalStart: 0; horizontalStartUnit: meters; horizontalEnd: 4800; horizontalEndUnit: meters; instrumentNames: BLS-900 optical large aperture scintillometer, MWSC-160 microwave scintillometer; instrumentType: Scintillometer; instrumentLocation: Grenzschichtmessfeld Falkenberg, Lindenberg; instrumentProvider: Scintec AG, Radiometer Physics GmbH Methods: The fluxes have been derived from simultaneous operation of a BLS-900 large-aperture optical scintillometer and a MWSC-160 microwave scintillometer. Data acquisition, data analysis and flux calculations were performed with the mwsc.exe software package. Structure parameters and the temperature-humidity correlation coefficient (rTq) for each 10min time interval have been calculated twice based on different settings, i.e. using the methods described in Hill (1997, https://doi.org/10.1175/1520-0426(1997)0142.0.CO;2) which assumes a constant rTq = -0.6 at night and rTq = 0.8 during daytime and in Lüdi et al. (2003, https://doi.org/10.1007/s10546-005-1751-1) which calculates rTq from the cross-correlation of the optical and microwave signals. The similarity model proposed by Koijmans and Hartogensis (2016, https://doi.org/10.1007/s10546-016-0152-y) was then used to derive the heat fluxes from the structure parameters. Using temperature and humidity profile measurements at the Falkenberg tower and measurements of the radiation budget, the deduced fluxes have been checked for sign consistency with the mean gradients of temperature and humidity and for a violation of the energy budget. In the end “most plausible” fluxes from the two methods (Hill, Lüdi et al. – see above) have been merged to a composite to ensure a better availability / quality of the fluxes especially around sunrise and sunset when the assumptions of the Hill approach typically fail. Quality flags have been assigned to each flux value, where G = good, D = dubious, B = bad, M = missing. Units: Units for all variables (see TableOfContents): W/m²;1;W/m²;1 geoLocations: BoundingBox: westBoundLongitude: 14.1199 degrees East; eastBoundLongitude: 14.1222 degrees East; southBoundLatidude: 52.1665 degrees North; northBoundLatitude: 52.2096 degrees North; geoLocationPlace: Germany, UTM zone 33U Locations: Transmitters: 52.1665 °N, 14.1222 °E, 124 m above mean sea level, 51 m above ground Receivers: 52.2096 °N, 14.1199 °E, 129 m above mean sea level, 26 m above ground Size: Data (level 2 only) are packed into one packed tar-archive. Its size is roughly 400 Kbyte. Format: netCDF DataSources: Single site ground-based remote sensing, see "Technical Info" for instruments Contact: eileen.paeschke (at) dwd.de Web page: https://www.cen.uni-hamburg.de/en/icdc/data/atmosphere/samd-st-datasets/samd-st-fesstval/sups-rao-oms-l2-turb.html see also: https://www.cen.uni-hamburg.de/en/icdc/research/samd/observational-data/short-term-observations/fesstval.htm