Characterization of antibiotic resistant gene in Staphylococcus aureus isolated from surgical wounds

Background: In the field of surgery wound infections have been a problem. Staphylococcus aureus, Escherichia coli, Proteus species, Klebsiella species, Streptococcus species, Enterobacter species, Pseudomonas species and species of staphylococci are frequently isolated from wound. This study was carried out to determine the prevalence of different pathogens in surgical wounds and their antimicrobial susceptibility patterns.Methods: Pus swabs from each patient was collected aseptically, and inoculated on culture media. Isolates were characterized, identified, and their antibiotic susceptibility patterns were determined using the Kirby-Bauer diffusion method.Results: Out of 300 surgical wound specimens analyzed, 208 samples were positive culture among which Staphylococcus aureus was most frequent pathogen with 103 (49.51%). The other 33 (15.86%) isolates were Pseudomonas aeruginosa followed by 27 (12.98%) isolates ofKlebsiella 25 (12.01%) isolates of Proteus and 20 (9.61%). isolates of E.coli respectively. The antibiotic susceptibility of Staphylococcus aureus was checked.Conclusions: It was observed that 103 isolates of S. aureus were resistant to Augmentin 65.04% to Sparfloxacin 59.22% to Amikacin 57.28% to Cefuroxime 57.28% to cefotaxime 56.31% to Ceftazidime 53.39% to Fusidic acid 48.54% to Ciprofloxacin 39.80% to Methicillin 37.86% to Gentamicin 28.15% to Meropenem 13.59% to Imipenem 5.82%. PCR assay for the detection of clinically relevant antibiotic resistance gene of S. aureus was done. Fragments of mecA (encoding methicillin resistance) gene were amplified and commercially sequenced which showed insertion at three sites; 480-481: T, 484-485: T, 464-465: G

Epidermal growth factor receptors: function modulation by phosphorylation and glycosylation interplay

Post-translational modifications (PTMs) of proteins induce structural and functional changes that are most often transitory and difficult to follow and investigate invivo. Insilico prediction procedures for PTMs are very valuable to foresee and define such transitory changes responsible for the multifunctionality of proteins. Epidermal growth factor receptor (EGFR) is such a multifunctional transmembrane protein with intrinsic tyrosine kinase activity that is regulated primarily by ligand-stimulated transphosphorylation of dimerized receptors. In human EGFR, potential phosphorylation sites on Ser, Thr and Tyr residues including five autophosphorylation sites on Tyr were investigated using insilico procedures. In addition to phosphorylation, O-GlcNAc modifications and interplay between these two modifications was also predicted. The interplay of phosphorylation and O-GlcNAc modification on same or neighboring Ser/Thr residues is termed as Yin Yang hypothesis and the interplay sites are named as Yin Yang sites. Amongst these modification sites, one residue is localized in the juxtamembrane (Thr 654) and two are found in the catalytic domain (Ser 1046/1047) of the EGFR. We propose that, when EGFR is O-GlcNAc modified on Thr 654, EGFR may be transferred from early to late endosomes, whereas when EGFR is O-GlcNAc modified on Ser 1046/1047 desensitization of the receptor may be prevented. These findings suggest a complex interplay between phosphorylation and O-GlcNAc modification resulting in modulation of EGFR's functionalit

Investigation of phosphorylated and O-glycosylated proteins in gestational diabetes mellitus

Gestational Diabetes Mellitus (GDM) is a common but temporary type of diabetes that develops among 10-20% of all pregnant women. It is a major cause of several pre- and post-pregnancy diseases in both mother and offspring. The main causative is altered pregnancy hormones that lead to deficient glucose metabolism. Complications can be preeclampsia, caesarean sections and cardiovascular diseases. This study was designed to determine the phosphorylated and glycosylated proteins present in GDM and to investigate the role of their post-translational modifications (PTMs) in the pathogenesis of GDM. The study was performed on 30 blood samples from pregnant diabetic women (diseased), 30 pregnant non-diabetic women (control) and 30 women without pregnancy and gestational diabetes (normal). Protein extraction was done from blood plasma, and phosphorylated and glycosylated proteins were determined by EnzymeLinked Immuno-Sorbent Assay (ELISA) by use of specific antibodies. This study showed that proteins found in GDM are highly phosphorylated and O-glycosylated (p<0.01). Furthermore, a bioinformatic investigation was done, which showed that blood coagulation proteins such as the Fibrinogen alpha chain and lipid metabolism-regulating proteins apolipoprotein E, L1 and C-III showed a high potential for phosphorylation, which suggests that phosphorylation can be used as a therapeutic marker in GDM

Role of an Optimal Multiagent Scheduling in Different Applications Using ML

Scheduling is regarded as one of the vital decision-making processes used frequently in many real-time cases. It manages everything from resource allocation to the task completion, with the goal to optimize the desired objectives. Subject to the problem, the resources, tasks, and goals can differ. The aim is to design a corporative multiagent system for optimal scheduling. Many of the scheduling available algorithms calculate optimality based on different perspectives. The proposal is to create the dataset using multiple algorithms with different performance metrics to find an optimal one. This data can be imported into machine learning tools for training and predicting, based on the selected performance metrics. The algorithm considered in the empirical analysis includes first come first serve, Round robin, and Ant colony approach. The major finding shows that scheduling using Ant colony is an optimal algorithm, which is based on speed and velocity. The future extension would be to check the correctness of optimality using machine learning tools

Screening and optimization of arsenic degrading bacteria and their potential role in heavy metal bioremediation

Industrialization has added extremely toxic metalloid arsenic into the environment which at high concentration severely threatens the biota. Naturally, some microbes possess the ability to bio-accumulate metals and also to transform arsenite (As III) a toxic form to a non-toxic arsenate As V. The present study aimed to isolate arsenic resistant bacterias from the arsenic contaminated soil and water. Among eleven bacterial isolates, three FAs 1, 4 and 9 exhibited tolerance against sodium arsenite at 100mM concentration by achieving growth of 7.48×109,1.57×109 and 2.23×109 C.F.U./ml, respectively. Optimization at different conditions such as temperature, pH and arsenic concentration revealed high arsenic tolerance from isolate FAs 4 (5.33×108) at 37°C and FAs 1 (4.43×108 C.F.U./ml) at pH 7. Arsenic resistance at optimum conditions for the bacterial strains FAs 1, FAs 4 and FAs 9 showed maximum growth at 80mM concentration of arsenite. These bacterial isolates did not show redox ability to oxidize arsenite As III to arsenate As V. However bacterial isolates FAs 1, FAs 4 and FAs 9 were able to accumulate arsenic 39.16, 148 and 125 µg/L on the 4th, 3rd and 5th day of incubation, respectively. The isolates FAs 1, FAs 4 and FAs 9 were identified as Gram negative non endospore forming rods. In future, these novel isolates possess a great potential in biotechnology field, as bioremediation of arsenic contaminated soil and water can be done by employing arsenic accumulating bacteria which is an eco-friendly and cost effective method

Enhanced production of β- glucosidase by locally isolated fungal strain employing submerged fermentation

β-glucosidase has wide spectrum of biotechnological applications in different industries including food, textile, laundry detergents, pulp and paper, pharmaceutical and biofuel industry. The present investigation related to isolation, screening, and process optimization of fungal strain for enhanced production of β-glucosidase (BGL). For this purpose, different fungal stains were isolated from different sources including soil, fruits, bark of tree as well as from the compost. The screening of fungal strain for BGL production was carried out via submerged fermentation. All the tested strains were identified on the basis of micro and macroscopic features. The fungal strain having greater ability for BGL synthesis among tested ones was identified as Aspergillus niger and given the code SBT-15. The process parameter including fermentation media, temperature, pH, rate of fermentation, carbon and nitrogen sources, volume of media were optimized. Five different fermentation media were evaluated M3 medium gave maximum production. The optimal conditions for BGL production was 72 hours of incubation at 40°C, pH 6 and 50 ml fermentation medium. Glucose (1%) and ammonium sulphate (3%) were optimized as best carbon and nitrogen sources, respectively

Association between TSH status and prevalence of miscarriages and stillbirth

Thyroid hormones play a significant role in normal human body growth. Abnormalities in thyroid stimulating hormone (TSH) levels can result in pregnancy loss due to miscarriages and intrauterine death (IUD). The objective of the study was to assess the levels of association of thyroid stimulating hormone with miscarriages and IUD. The descriptive study involving 110 samples between 18-40 years of age fulfilling inclusion criteria were sampled for TSH testing (2ml blood) after attaining their written informed consent. The mean age of participants was 29.49±4.26 year. The prevalence of hypothyroidism and hyperthyroidism was 3.64% and 2.73%, respectively. Complications like gestational hypertension, depression and oligomenorrhea were found prevalent in these females. Majority of females were taking high/low iodine than recommended iodine level (150mcg). This work shows that there is a significant association between pregnancy loss and disturbed TSH levels among pregnant females

Process optimization for enhanced production of cellulases form locally isolated fungal strain by submerged fermentation

Cellulase has myriad applications in various sectors like pharmaceuticals, textile, detergents, animal feed and bioethanol production, etc. The current study focuses on the isolation, screening and optimization of fungal strain through one factor at a time technique for enhanced cellulase production.  In current study sixteen different fungal cultures were isolated and the culture which quantitatively exhibits higher titers of cellulase activity was identified both morphologically and molecularly by 18S rDNA and designated as Aspergillus niger ABT11. Different parameters like fermentation medium, volume, temperature, pH and nutritional components were optimized. The highest CMCase and FPase activities  was achieved in 100ml of M5 medium in the presence of 1% lactose and sodium nitrate at 30 oC, pH5 after 72 hours. The result revealed A. niger can be a potential candidate for scale up studies