Bacterial vaginosis was associated with the preterm delivery of low-birth-weight infants independently of other recognized risk factors.

After considering other recognized risk factors including co-infections, pregnant women infected with T. vaginalis at mid-gestation were statistically significantly more likely to have a low birth weight infant, to deliver preterm, and to have a preterm low birth weight infant. Compared with whites and Hispanics, T. vaginalis infection accounts for a disproportionately larger share of the low birth weight rate in blacks.

Much biodiversity data is collected worldwide, but it remains challenging to assemble the scattered knowledge for assessing biodiversity status and trends. The concept of Essential Biodiversity Variables (EBVs) was introduced to structure biodiversity monitoring globally, and to harmonize and standardize biodiversity data from disparate sources to capture a minimum set of critical variables required to study, report and manage biodiversity change. Here, we assess the challenges of a 'Big Data' approach to building global EBV data products across taxa and spatiotemporal scales, focusing on species distribution and abundance. The majority of currently available data on species distributions derives from incidentally reported observations or from surveys where presence-only or presence-absence data are sampled repeatedly with standardized protocols. Most abundance data come from opportunistic population counts or from population time series using standardized protocols (e.g. repeated surveys of the same population from single or multiple sites). Enormous complexity exists in integrating these heterogeneous, multi-source data sets across space, time, taxa and different sampling methods. Integration of such data into global EBV data products requires correcting biases introduced by imperfect detection and varying sampling effort, dealing with different spatial resolution and extents, harmonizing measurement units from different data sources or sampling methods, applying statistical tools and models for spatial inter-or extrapolation, and quantifying sources of uncertainty and errors in data and models. To support the development of EBVs by the Group on Earth Observations Biodiversity Observation Network (GEO BON), we identify 11 key workflow steps that will operationalize the process of building EBV data products within and across research infrastructures worldwide. These workflow steps take multiple sequential activities into account, including identification and aggregation of various raw data sources, data quality control, taxonomic name matching and statistical modelling of integrated data. We illustrate these steps with concrete examples from existing citizen science and professional monitoring projects, including eBird, the Tropical Ecology Assessment and Monitoring network, the Living Planet Index and the Baltic Sea zooplankton monitoring. The identified workflow steps are applicable to both terrestrial and aquatic systems and a broad range of spatial, temporal and taxonomic scales. They depend on clear, findable and accessible metadata, and we provide an overview of current data and metadata standards. Several challenges remain to be solved for building global EBV data products: (i) developing tools and models for combining heterogeneous, multi-source data sets and filling data gaps in geographic, temporal and taxonomic coverage, (ii) integrating emerging methods and technologies for data collection such as citizen science, sensor networks, DNA-based techniques and satellite remote sensing, (iii) solv...

Dyspnea, leg effort (Borg 0 to 10 scale), ventilation, and heart rate (VEmax/VEcap; HRmax/HRcap expressed as a percentage of capacity) were measured at maximal exercise (cycle ergometer) in 97 patients with chronic airflow limitation (CAL) (FEV, 46.6 +/- 14.23% of predicted) and compared with 320 matched control subjects. Patients with CAL achieved a maximum power output of 86 +/- 39.5 W (60 +/- 23.2% of predicted) compared with 140 +/- 37.5 W (98 +/- 14.5% of predicted) in controls (p less than 0.0001), VEmax/VEcap was 72 +/- 19.3% compared with 53 +/- 18.6% (p less than 0.0001), and HRmax/HRcap was 76 +/- 13.5% compared with 82 +/- 13% (p less than 0.001). These findings were expected. The median intensity of dyspnea was 6 (severe to very severe) and leg effort was 7 (very severe) in both groups, and these findings were unexpected. The patients with CAL were handicapped by an increase in both dyspnea and peripheral muscular effort relative to the actual power output. The rating of dyspnea exceeded leg effort in 25 (26%) of CAL versus 69 (22%) control subjects: the rating of leg effort exceeded dyspnea in 42 (43%) CAL and 117 (36%) control subjects; both were rated equally in 30 (31%) CAL and 134 (42%) control subjects, respectively (NS). VEmax/VEcap and HRmax/HRcap were not significantly different in those limited by dyspnea, leg fatigue, or a combination of both. All values are expressed +/- SD.

Knowledge of the abundance of bacterial species in vaginal communities will help us to better understand their role in health and disease. However, progress in this field has been limited because quantifying bacteria in natural specimens is an arduous process. We developed quantitative real-time PCR (qPCR) assays to facilitate assessments of bacterial abundance in vaginal specimens and evaluated the utility of these assays by measuring species abundance in patients whose vaginal floras were clinically described as normal, intermediate, or bacterial vaginosis (BV) as defined by Nugent's criteria. The qPCR measurements showed that Lactobacillus species were predominant in normal vaginal specimens and that high Lactobacillus crispatus and Lactobacillus jensenii abundance was specific to normal specimens, while Lactobacillus iners abundance was high in all categories including BV. The abundances of all non-Lactobacillus species were higher in BV specimens than in normal specimens. Prevotella species were prevalent in all specimens and represented a high percentage of total species in BV specimens. qPCR assays can be a useful tool for describing the structure of vaginal communities and elucidating their role in health and disease.Vaginal bacterial communities are composed of mixtures of diverse species, and the relative abundance of these species in part determines urogenital health and disease in women (22). It is generally acknowledged that vaginal communities predominated by Lactobacillus species are normal and healthy while communities predominated by other genera, such as Gardnerella vaginalis, are abnormal and unhealthy (36). The latter condition essentially defines a poorly understood syndrome known as bacterial vaginosis (BV). While BV can be asymptomatic and benign in some women, it is a common cause of malodorous vaginal discharge for many. Moreover, BV flora is of concern because it is associated with an increased risk of adverse sequelae, such as preterm birth (8, 24), postoperative complications in women (40), enhanced risk of acquiring sexually transmitted infections (31), and increased shedding of HIV (11). Treating BV has not proven effective for the prevention of these adverse events possibly due to the fact that standard BV treatment results in high failure and relapse rates (25,29). Furthermore, while suspected pathogens such as G. vaginalis have been implicated, no agent or factor has been identified as the cause of BV, despite experimental (10) and epidemiological (28) evidence that suggests that BV is transmissible (10). Because of all the uncertainties surrounding this syndrome, BV has been described as a microbiological and clinical enigma (16,17).Failure to understand the microbiology specific to BV is perhaps not surprising given that the basic ecology of the genitourinary microbiota, namely, the composition, relative abundance, and temporal fluctuations of vaginal species, are poorly understood. This lack of knowledge is highlighted by recent cultivation-independent broad-range PCR surveys,...