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    block this user Mahendra Kumar Trivedi

    Independent researcher

    Las Vegas Naveda
    Trivedi Global Inc.
    Trivedi Science Research Laboratory Pvt. Ltd

    Antibiogram Typing of Biofield Treated Multidrug Resistant Strains of Staphylococcus Species

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    Antimicrobial resistance is a global health issue in the developing countries. This study was carried out to evaluate the impact of Mr. Trivedi’s biofield energy treatment on multidrug resistant (MDR) clinical lab isolates (LSs) of Staphylococcus species viz. Staphylococcus haemolyticus (LS 18), Staphylococcus epidermidis (LS 21), and Staphylococcus aureus (LS 30). Each strain was divided into the two groups i.e.control and treated. The control and treated groups were analyzed for the antimicrobial susceptibility pattern, minimum inhibitory concentration (MIC), biochemical analysis and biotype number using MicroScan Walk-Away® system. The analysis was done on day 10 after biofield treatment and compared with the control group. The sensitivity of erythromycin was improved from resistant to susceptible, while levofloxacin sensitivity was also improved from intermediate to susceptible in LS 21 isolate. The MIC results showed a decrease in the concentrations of ceftriaxone, erythromycin, imipenem, and levofloxacin antimicrobials in LS 21 as compared to the control. Linezolid and vancomycin also showed decrease in MIC as compared to the control in LS 30. Overall, 20.69% antimicrobials showed decrease in MIC value out of the tested twenty-nine after biofield treatment in Staphylococcus species. The biochemical study showed a 25% alteration in biochemical reactions as compared to the control. A significant change was reported in biotype numbers for all the three strains of MDR Staphylococcus species after biofield treatment as compared to the respective control group. On the basis of changed biotype number (306366) after biofield treatment in LS 18, the new organism was identified as Staphylococcus simulans with respect to the control species i.e. Staphylococcus haemolyticus (302302). The control group of S. epidermidis and S. aureus showed biotype number as 303064 and 757153 respectively. After biofield treatment, LS 21 and LS 30 isolates showed altered biotype number as 307064 and 317153 respectively. Overall, results conclude that biofield treatment could be used as complementary and alternative treatment strategy against multidrug resistant strains of Staphylococcus species with improved sensitivity and reduced MIC values of antimicrobial.

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    Title : Antibiogram Typing of Biofield Treated Multidrug Resistant Strains of Staphylococcus Species
    Author(s) : Mahendra Kumar Trivedi, Alice Branton, Dahryn Trivedi, Gopal Nayak
    Abstract : Antimicrobial resistance is a global health issue in the developing countries. This study was carried out to evaluate the impact of Mr. Trivedi’s biofield energy treatment on multidrug resistant (MDR) clinical lab isolates (LSs) of Staphylococcus species viz. Staphylococcus haemolyticus (LS 18), Staphylococcus epidermidis (LS 21), and Staphylococcus aureus (LS 30). Each strain was divided into the two groups i.e.control and treated. The control and treated groups were analyzed for the antimicrobial susceptibility pattern, minimum inhibitory concentration (MIC), biochemical analysis and biotype number using MicroScan Walk-Away® system. The analysis was done on day 10 after biofield treatment and compared with the control group. The sensitivity of erythromycin was improved from resistant to susceptible, while levofloxacin sensitivity was also improved from intermediate to susceptible in LS 21 isolate. The MIC results showed a decrease in the concentrations of ceftriaxone, erythromycin, imipenem, and levofloxacin antimicrobials in LS 21 as compared to the control. Linezolid and vancomycin also showed decrease in MIC as compared to the control in LS 30. Overall, 20.69% antimicrobials showed decrease in MIC value out of the tested twenty-nine after biofield treatment in Staphylococcus species. The biochemical study showed a 25% alteration in biochemical reactions as compared to the control. A significant change was reported in biotype numbers for all the three strains of MDR Staphylococcus species after biofield treatment as compared to the respective control group. On the basis of changed biotype number (306366) after biofield treatment in LS 18, the new organism was identified as Staphylococcus simulans with respect to the control species i.e. Staphylococcus haemolyticus (302302). The control group of S. epidermidis and S. aureus showed biotype number as 303064 and 757153 respectively. After biofield treatment, LS 21 and LS 30 isolates showed altered biotype number as 307064 and 317153 respectively. Overall, results conclude that biofield treatment could be used as complementary and alternative treatment strategy against multidrug resistant strains of Staphylococcus species with improved sensitivity and reduced MIC values of antimicrobial.
    Keywords : Staphylococcus Haemolyticus, Staphylococcus Epidermidis, Staphylococcus Aureus, Biofield Energy Treatment, Multidrug-Resistant, Antibiogram, Biotyping

    Subject : Microbiology
    Area : Biology
    Language : English
    Year : 2015

    Affiliations Trivedi Global Inc.
    Trivedi Science Research Laboratory Pvt. Ltd
    Journal : American Journal of Life Sciences
    Volume : 3
    Issue : 5
    Publisher : Science Publishing Group
    Pages : 369-374
    Doi : 10.11648/j.ajls.20150305.16
    Attribution Non-Commercial Share Alike

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    Mahendra's Peer Evaluation activity

    Downloads 38292
    Views 200
    Following... 21
    • Alejandro Engelmann, Independent researcher, Library, Swedish University of Agricultural Sciences, Uppsala, Sweden.
    • Selma Dorrestein, Student, Master Level, University of Amsterdam.
    • Francisco Herrera, Publisher, UNIVERSITY OF GRANADA.
    • Ralf Steinmetz, Professor, university.
    • Gregory Dudek, Professor, McGill University, School of Computer Science, Montreal, Canada.
    • Umberto Straccia, Senior Research Fellow, ISTI - CNR.
    • Sorin Cotofana, Associate Professor, Deft University of Technology, Faculty of Electrical Engineeting, Mathematics, and Computer Science. Computer Engineering, Delft, The Netherlands.
    • Stefan Trausan-Matu, Professor, Computer Science Department, Politehnica University of Bucharest, Research Institute for Artificial Intelligence.
    • Jean Quisquater, Professor, UCL Crypto Group.
    • Markus Jakobsson, Principal Research Fellow, PayPal, FatSkunk, Indiana University.
    • Michael Elad, Professor, Technion - Israel institute of Technology.
    • Andrew Lumsdaine, Professor, Indiana University.
    • Mikael Nilsson, Student, Ph.D. Level, Royal Institute of Technology, Stockholm, Sweden.
    • Emilie Combet, Lecturer, MVLS, University of Glasgow, Glasgow, Centre for Population and Health Sciences, Life-course Nutrition and Health.
    • Werner Muller, Professor, Faculty of Life Science, University of Manchester, Manchester.
    • Syam Mohan, Senior Research Fellow, Pharmacology, University of Malaya, Malaysia.
    • Ramy K Aziz, Lecturer, Department of Microbiology and Immunology, Faculty of Pharmacy, Cairo University, Cairo, Egypt.
    • Paweł K. Jędrzejko, Associate Professor, Department of American and Canadian Studies of the Institute of English Cultures and Literatures, University of Silesia in Katowice, Poland.
    • Nader Ale Ebrahim, Independent researcher, Research Support Unit, Centre of Research Services, Institute of Research Management and Monitoring (IPPP), University of Malaya, Malaysia.
    • Kelli Barr, Student, Ph.D. Level, Department of Philosophy and Religion Studies, University of North Texas, Denton, TX.
    • Pandelis Perakakis, Post Doctorate, Economics department, Universitet Jaume I, Castellon.

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