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    block this user Mahendra Kumar Trivedi

    Independent researcher / mahendra@trivedisrl.com

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

    Antibiogram and Genotypic Analysis using 16S rDNA after Biofield Treatment on Morganella morganii

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    Morganella morganii (M. morganii) is one of the important nosocomial pathogen associated with the urinary tract infections and bacteremia. The aim of this study was to evaluate the effect of Mr. Trivedi’s biofield energy treatment on M. morganii in the lyophilized as well as revived state for antimicrobial susceptibility pattern, biochemical characteristics, biotype number and genotype. M. morganii cells were procured from MicroBioLogics Inc., USA in sealed packs bearing the American Type Culture Collection (ATCC 25829) number and stored according to the recommended storage protocols until needed for experiments. M. morganii strain was divided into two groups, Group (Gr.) I: control and Gr. II: treated. Gr. II was further subdivided into two groups, Gr. IIA and Gr. IIB. Gr. IIA was analyzed on day 10, while Gr. IIB was stored and analyzed on day 142 (Study I). After retreatment on day 142, the sample (Study II) was divided into three separate tubes. First, second and third tube was further analyzed on day 5, 10 and 15 respectively. All experimental parameters were studied using the automated MicroScan Walk-Away® system. The 16S rDNA sequencing of lyophilized treated sample was carried out to correlate the phylogenetic relationship of M. morganii with other bacterial species. Antimicrobial susceptibility results showed 32.14% alterations, while minimum inhibitory concentration results showed 18.75% alterations of the tested antimicrobials. Biochemical study also showed altered positive reactions in nitrofurantoin and indole with respect to control. Biotype study showed alteration in Gr. IIB, study II, on day 15 (4005 1446) as compared to the control (4004 1446). 16S rDNA sequencing analysis showed similar results with the identified microbe as M. morganii (GenBank accession number: AB210972) having 80% identity of the gene sequencing data. Total 1507 base nucleotide of 16S rDNA gene sequences were analyzed by multiple alignments, while nearest homolog genus-species of M. morganii was found as Providencia rettgeri (accession number: AM040492). These results suggested that biofield treatment has a significant impact on M. morganii in lyophilized as well as revived state

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    Description

    Title : Antibiogram and Genotypic Analysis using 16S rDNA after Biofield Treatment on Morganella morganii
    Author(s) : Mahendra Kumar Trivedi, Alice Branton, Dahryn Trivedi, Gopal Nayak
    Abstract : Morganella morganii (M. morganii) is one of the important nosocomial pathogen associated with the urinary tract infections and bacteremia. The aim of this study was to evaluate the effect of Mr. Trivedi’s biofield energy treatment on M. morganii in the lyophilized as well as revived state for antimicrobial susceptibility pattern, biochemical characteristics, biotype number and genotype. M. morganii cells were procured from MicroBioLogics Inc., USA in sealed packs bearing the American Type Culture Collection (ATCC 25829) number and stored according to the recommended storage protocols until needed for experiments. M. morganii strain was divided into two groups, Group (Gr.) I: control and Gr. II: treated. Gr. II was further subdivided into two groups, Gr. IIA and Gr. IIB. Gr. IIA was analyzed on day 10, while Gr. IIB was stored and analyzed on day 142 (Study I). After retreatment on day 142, the sample (Study II) was divided into three separate tubes. First, second and third tube was further analyzed on day 5, 10 and 15 respectively. All experimental parameters were studied using the automated MicroScan Walk-Away® system. The 16S rDNA sequencing of lyophilized treated sample was carried out to correlate the phylogenetic relationship of M. morganii with other bacterial species. Antimicrobial susceptibility results showed 32.14% alterations, while minimum inhibitory concentration results showed 18.75% alterations of the tested antimicrobials. Biochemical study also showed altered positive reactions in nitrofurantoin and indole with respect to control. Biotype study showed alteration in Gr. IIB, study II, on day 15 (4005 1446) as compared to the control (4004 1446). 16S rDNA sequencing analysis showed similar results with the identified microbe as M. morganii (GenBank accession number: AB210972) having 80% identity of the gene sequencing data. Total 1507 base nucleotide of 16S rDNA gene sequences were analyzed by multiple alignments, while nearest homolog genus-species of M. morganii was found as Providencia rettgeri (accession number: AM040492). These results suggested that biofield treatment has a significant impact on M. morganii in lyophilized as well as revived state
    Keywords : Morganella Morganii, Antimicrobial Susceptibility, Biofield Energy, Biochemical Reaction, Biotype, 16S rDNA Analysis

    Subject : Microbiology
    Area : Health Sciences
    Language : English
    Year : 2015

    Affiliations Trivedi Global Inc.
    Trivedi Science Research Laboratory Pvt. Ltd
    Journal : Advanced Techniques in Biology & Medicine
    Volume : 3
    Issue : 3
    Publisher : Omics Publishing Group
    Doi : 10.4172/2379-1764.1000137
    Attribution Non-Commercial Share Alike

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    Mahendra's Peer Evaluation activity

    Downloads 28711
    Views 162
    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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