Source identification and potential health risks from elevated groundwater nitrate contamination in Sundarbans coastal aquifers, India.

In recent years groundwater contamination through nitrate contamination has increased rapidly in the managementof water research. In our study, fourteen nitrate conditioning factors were used, and multi-collinearity analysis is done. Among all variables, pH is crucial and ranked one, with a value of 0.77, which controls the nitrate concentration in the coastal aquifer in South 24 Parganas. The second important factor is Cl-, the value of which is 0.71. Other factors like-As, F-, EC and Mg2+ ranked third, fourth and fifth position, and their value are 0.69, 0.69, 0.67 and 0.55, respectively. Due to contaminated water, people of this district are suffering from several diseases like kidney damage (around 60%), liver (about 40%), low pressure due to salinity, fever, and headache. The applied method is for other regions to determine the nitrate concentration predictions and for the justifiable alterationof some management strategies.

Modeling of Cadmium Bioaccumulation Dynamics in Channa punctata (Bloch, 1793) of Dankuni Wetland Ecosystem and Assessment of Risk to Human Health.

Contamination of freshwater wetlands with toxic heavy metals and metalloids is a significant public health concern. Cadmium (Cd) is one of the most common heavy metals affecting water bodies and fish. In the Dankuni wetland (DW) ecosystem in India, variations in Cd concentration from the aquatic system to different fish tissues have been investigated. Channa punctata is an easily accessible fish with a high nutritional value, and offers a good economic return for the fishermen of West Bengal. A dynamic model was constructed considering the importance of the Cd concentration in the water of the wetland system and different fish tissues. A sensitivity analysis was performed to assess the valuable contribution of different parameters that determine the dynamics of Cd concentration in a wetland aquatic environment. The observed data is used to verify the model simulation performance. To predict the effects of Cd on humans, a survey of fish consumers was conducted around DW. Individuals living near DW, on low income (<5,000 INR) and over the age of fifty, were at high risk of Cd contamination. Their average daily intake rate was quite high (2.48×10-5 mg kg-1 day-1) and the hazard quotient calculated for these individuals was also high (0.024). People over age of 50 years had renal, cardiovascular, and osteological diseases with disease percentages of 56%, 46%, and 45%, respectively. Data on Cd-related health problems were collected from Cd-associated and non-Cd-associated individuals residing in the periphery of DW. The system-sensitive parameter was the rate of Cd entry into the water system (C Inp rt). If the Cd level is checked at the entrance of the reservoir by management policy; the risk of Cd contamination to human may be minimized in this area.

A novel coupled framework for detecting hotspots of methane emission from the vulnerable Indian Sundarban mangrove ecosystem using data-driven models.

Coastal mangroves have been lost to deforestation for anthropogenic activities such as agriculture over the past two decades. The genesis of methane (CH4), a significant greenhouse gas (GHG) with a high potential for global warming, occurs through these mangrove beds. The mangrove forests in the Indian Sundarban deltaic region were studied for pre-monsoonal and post-monsoonal variations of CH4 emission. Considering the importance of CH4 emission, a process-based spatiotemporal (PBS) and an analytical neural network (ANN) model were proposed and used to estimate the amount of CH4 emission from different land use land cover classes (LULC) of mangroves. The field work was performed in 2020, and gas samples of various LULC were directly collected from the mangrove bed using the enclosed box chamber method. Historical climatic data (1960-1989) were used to predict future climate scenarios and associated CH4 emissions. The analysis and estimation activities were carried out utilizing satellite images from the pre-monsoonal and post-monsoonal seasons of the same year. The study revealed that pre-monsoonal CH4 emission was higher in the south-west and northern parts of the deforested mangrove of the Indian Sundarban. A sensitivity study of the anticipated models was conducted using a variety of environmental input parameters and related main field observations. The measured precision area under curve of receiver operating characteristics was 0.753 for PBS and 0.718 for ANN models, respectively. The temperature factor (Tf) was the most crucial variable for CH4 emissions. Based on the PBS model with coupled model intercomparison project-6 temperature data, a global circulation model was run to predict increasing CH4 emissions up to 2100. The model revealed that the agricultural lands were the prime emitters of CH4 in the Sundarban mangrove ecosystem.

Molecular epidemiology of SARS-CoV-2 in healthcare workers and identification of viral genomic correlates of transmissibility and vaccine break through infection: A retrospective observational study from a cancer hospital in eastern India.

PURPOSE: Despite COVID vaccination with ChAdOx1 ncov-19 (COVISHIELD®) (ChAdOx1 ncov-19) a large number of healthcare workers (HCWs) were getting infected in wave-2 of the pandemic in a cancer hospital of India. It was important therefore to determine the genotypes responsible for vaccine breakthrough infections. METHODS & OBJECTIVES: Retrospective observational study of HCWs. Whole genome sequencing of SARS CoV-2 using Illumina NovaSeq was done. Mutations from both waves were compared to identify genomic correlates of transmissibility and vaccine breakthrough infections. RESULTS: Vaccine breakthrough infections were seen in 127 HCWs out of 1806 fully vaccinated staff (7.03%). Median number of HCWs infected per day in wave-1 was 0.92 versus 3.25 in wave-2. Majority of wave-1 samples belonged to B.1 and B.1.1 lineage. Variant of concern- Delta variant (90%), and variant of interest- Kappa variant (10%), was seen in only wave-2 samples. Total mutation observed in wave-2 samples (median â€‹= â€‹44) was 1.8 times than wave-1 sample (median â€‹= â€‹24). Spike protein in wave-2 samples had 13 non-synonymous mutation as compared to 8 seen in wave-1 samples. E484Q-vaccine escape mutant was detected in five samples of wave-2; T478K - highly infectious mutation was seen in 31 samples of wave-2. We identified a novelcoding disruptive in-frame deletion (c.467_472delAGTTCA, p. Glu156_Arg158delinsGly) in the Spike protein. This mutation was seen only in wave-2 (78%, n â€‹= â€‹39) samples. CONCLUSION: The circulating virus strains in wave-2 infections demonstrated a greater degree of infectivity. There was a significant change in the genotypes observed in wave-1 and wave-2 infections along with almost twice the number of mutations. We noted that vaccine breakthrough infections (although mostly mild).

An analysis of the standard curve parameters of cytomegalovirus, BK virus and hepatitis B virus quantitative polymerase chain reaction from a clinical virology laboratory in eastern India.

PURPOSE: Quantitative real-time polymerase chain reactions (qPCRs) are important for accurate detection of nucleic acid target including that for viral load determination. Assessment of the quality of a PCR run is essential for quality control, diagnostics and research. In order to reduce subjectivity qPCR standard curves are accompanied with parametric values for slope, Y- intercept, correlation coefficient (R2) and PCR efficiency. In this study the performance of three qPCR assays-cytomegalovirus, hepatitis B virus and BK virus-with respect to standard curve parameters-slope, Y intercept, R2 and efficiency were examined. METHODS: Using ideal values (Slope (minus 3.32); Y intercept â€‹= â€‹the number of PCR cycles; R2 â€‹= â€‹1 and efficiency â€‹= â€‹100%) we estimated the intra-assay variability (range) and deviation from ideal parameters (Δ). We also calculated the standard deviation (SD) and coefficient of variation (CV) for each of these parameters. We have evaluated the quality of each of the three viral load assays (CMV, HBV, BKV) using these statistical approach. RESULTS: We found lab developed tests (CMV) to have least deviation from ideal Y intercept (limit of detection); however, commercial kit based assays had better linearity (scatter plot correlation between amplification factor and PCR efficiency). Using a scatter plot for the three assays we found the correlation with calculated amplification factor and PCR efficiency was most linear in case of BKV (0.9974), closely followed by the HBV assay (R2 â€‹= â€‹0.9968). Although the CMV quantitative standards were least linear (0.868), the CV (coefficient of variation) was also the least in case of the CMV assay. CONCLUSION: The study highlights an objective way of assessing qPCR assay quality and demonstrates a method to compare assays, validate tests and perform quality control.

Preparation, characterization and in vivo evaluation of pH sensitive, safe quercetin-succinylated chitosan-alginate core-shell-corona nanoparticle for diabetes treatment.

The study aims for development of an efficient polymeric carrier for evaluating pharmaceutical potentialities in modulating the drug profile of quercetin (QUE) in anti-diabetic research. Alginate and succinyl chitosan are focused in this investigation for encapsulating quercetin into core-shell nanoparticles through ionic cross linking. The FT-IR, XRD, NMR, SEM, TEM, drug entrapment and loading efficiency are commenced to examine the efficacy of the prepared nanoparticles in successful quercetin delivery. Obtained results showed the minimum particle size of ∼91.58nm and ∼95% quercetin encapsulation efficiently of the particles with significant pH sensitivity. Kinetics of drug release suggested self-sustained QUE release following the non-fickian trend. A pronounced hypoglycaemic effect and efficient maintenance of glucose homeostasis was evident in diabetic rat after peroral delivery of these quercetin nanoparticles in comparison to free oral quercetin. This suggests the fabrication of an efficient carrier of oral quercetin for diabetes treatment.

Vibrio cholerae GbpA elicits necrotic cell death in intestinal cells.

Vibrio choleraeN-acetylglucosamine-binding protein GbpA is a secretory protein that facilitates the initial adherence of bacteria in the human intestine. Until now, considerable progress in the characterization of GbpA has been done, yet little is known about its role in host response. Our present studies demonstrated that GbpA at the amount secreted in the intestine resulted in decreased cell viability, altered cell morphology, disruption of cell membrane integrity and damage of cellular DNA indicating necrotic cell death. We observed that GbpA exposure leads to mitochondrial dysfunction, characterized by accumulation of reactive oxygen species (ROS), depolarization of mitochondrial membrane potential and depletion of ATP pool in host cells. Additionally, the intra-cellular ROS, accumulated in response to GbpA, were found to induce the migration of NF-κB from cytoplasm into nucleus in host cells. Taken together, these results prompted us to conclude that GbpA orchestrates a necrotic response in host cells which may have implications in immune response.