Bhattacharyya, M. | bioRxiv Science

bioRxiv2018

Chelation therapy using static magnetic field

Static magnetic field (SMF) is reported to mimic chelation agents. In thalassemia blood, SMF minimizes iron overloading effect. In such cells ROS level is reduced, in presence of moderate strength (70mT). Pilot study on transfusion dependent thalassemia, thalassemia carriers and normal red blood clearly indicate the differential effects of SMF on thalassemia, thalassemia carrier and normal cells. SMF also reduces ROS induced DNA damage in lymphocytes. A comparative study on the iron chelating drug deferasirox and SMF treated lymphocytes further confirm our main thesis. This non-invasive therapeutic regime for hemochromatosis may serve the dual purpose of treating, iron overloading and minimizing, cellular damage by lowering the ROS level.

epidemiology↗

bioRxiv2016

Metagenomic Characteristics of Bacterial Response to Petroleum Hydrocarbon Contamination in Diverse Environments as Revealed by Functional Taxonomic Strategies

Microbial remediation of oil polluted habitats remains one of the foremost methods for restoration of petroleum hydrocarbon contaminated environments. The development of effective bioremediation strategies however, require an extensive understanding of the resident microbiome of these habitats. Recent developments such as high-throughput sequencing has greatly facilitated the advancement of microbial ecological studies in oil polluted habitats. However, effective interpretation of biological characteristics from these large datasets remains a considerable challenge. In this study, we have implemented recently developed bioinformatic tools for analyzing 65 publicly available 16S rRNA datasets from 12 diverse hydrocarbon polluted habitats to decipher metagenomic characteristics of bacterial communities of the same. We have comprehensively described phylogenetic and functional compositions of these habitats and additionally inferred a multitude of metagenomic features including 255 taxa and 414 functional modules which can be used as biomarkers for effective distinction between the 12 oil polluted sites. We have identified essential metabolic signatures and also showed that significantly over-represented taxa often contribute to either or both, hydrocarbon degradation and additional important functions. Our findings reveal significant differences between hydrocarbon contaminated sites and establishes the importance of endemic factors in addition to petroleum hydrocarbons as driving factors for sculpting hydrocarbon contaminated bacteriomes.

microbiology↗