Role Portrayed by Serum NGAL and Vitamin D in Patients with Bone Tumors.

BACKGROUND: Bone tumors are responsible for considerable morbidity and mortality at an early age. Malignant bone tumors are quite aggressive in nature. Thus, an accurate and timely diagnosis is essential for bone tumors. Neutrophil gelatinase associated lipocalin (NGAL) and vitamin D have been found to be associated with cancer and may have potential to act as biomarkers for bone tumors also. METHODS: Serum levels of NGAL and 25-OH vitamin D were estimated in 14 patients with benign and 14 with malignant bone tumors and compared with 14 apparently healthy controls. The data collected was compared among different groups using appropriate statistical analysis. NGAL was estimated by enzyme linked immunosorbent as-say (ELISA) and 25-OH vitamin D by radioimmunoassay (RIA) in the serum samples. RESULTS: Serum NGAL levels were found to be increased significantly and 25-OH vitamin D levels decreased significantly in patients with malignant bone tumors as compared to healthy controls (p < 0.001) while this difference was not statistically significant in patients with benign bone tumors (p = 0.05). The difference in serum levels of NGAL and 25-OH vitamin D in patients with malignant bone tumors was found to be statistically significant as compared to patients with benign bone tumors (p < 0.05). The correlation was not statistically significant between the levels of 25-OH vitamin D and NGAL in group I (r = 0.067, p = 0.819), group II (r = 0.204, p = 0.483), and group III (r = -0.086, p = 0.772). CONCLUSIONS: Serum NGAL and 25-OH vitamin D may be used as important serological biomarkers in patients with bone tumors along with other standard investigative modalities.

Geomorpho90m, empirical evaluation and accuracy assessment of global high-resolution geomorphometric layers.

Topographical relief comprises the vertical and horizontal variations of the Earth's terrain and drives processes in geomorphology, biogeography, climatology, hydrology and ecology. Its characterisation and assessment, through geomorphometry and feature extraction, is fundamental to numerous environmental modelling and simulation analyses. We, therefore, developed the Geomorpho90m global dataset comprising of different geomorphometric features derived from the MERIT-Digital Elevation Model (DEM) - the best global, high-resolution DEM available. The fully-standardised 26 geomorphometric variables consist of layers that describe the (i) rate of change across the elevation gradient, using first and second derivatives, (ii) ruggedness, and (iii) geomorphological forms. The Geomorpho90m variables are available at 3 (~90 m) and 7.5 arc-second (~250 m) resolutions under the WGS84 geodetic datum, and 100 m spatial resolution under the Equi7 projection. They are useful for modelling applications in fields such as geomorphology, geology, hydrology, ecology and biogeography.

Estimating nitrogen and phosphorus concentrations in streams and rivers, within a machine learning framework.

Nitrogen (N) and Phosphorus (P) are essential nutritional elements for life processes in water bodies. However, in excessive quantities, they may represent a significant source of aquatic pollution. Eutrophication has become a widespread issue rising from a chemical nutrient imbalance and is largely attributed to anthropogenic activities. In view of this phenomenon, we present a new geo-dataset to estimate and map the concentrations of N and P in their various chemical forms at a spatial resolution of 30 arc-second (∼1 km) for the conterminous US. The models were built using Random Forest (RF), a machine learning algorithm that regressed the seasonally measured N and P concentrations collected at 62,495 stations across the US streams for the period of 1994-2018 onto a set of 47 in-house built environmental variables that are available at a near-global extent. The seasonal models were validated through internal and external validation procedures and the predictive powers measured by Pearson Coefficients reached approximately 0.66 on average.