• Title/Summary/Keyword: resistance screening

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Anti-inflammatory and Anti-bacterial Effects of Aloe vera MAP against Multidrug-resistant Bacteria

  • Choi, Sang Hwa;Shin, Hea Soon
    • Natural Product Sciences
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    • v.23 no.4
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    • pp.286-290
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    • 2017
  • Multidrug-resistant Acinetobacter baumannii and Pseudomonas aeruginosa are highly dangerous nosocomial pathogens, cause the symptoms of skin infections, pressure sores, sepsis, blood stream and wound infections. Unfortunately, these pathogens are immune to the most common antibiotics, such as, carbapenem, aminoglycoside and fluoroquinolone. Therefore, it is imperative that new and effective antibiotics be developed. In the present study, the antimicrobial effects of Aloe vera MAP (modified Aloe polysaccharide) on Staphylococcus aureus and Bacillus subtilis, Escherichia coli and Enterobacter aerogenes, and clinical Pseudomonas aeruginosa and clinical Acinetobacter baumannii were comprehensibly investigated. Prior to the growth inhibition effect measurement and antibiotic disc diffusion assay on gram-positive and gram-negative bacteria and selected multidrug-resistant Pseudomonas aeruginosa and Acinetobacter baumannii, antimicrobial resistance screening was performed for the multidrug-resistant bacteria obtained from clinical isolates. The results for showed the Aloe vera MAP had a concentration-dependent effect on all of examined bacteria, particularly on Pseudomonas aeruginosa. Anti-inflammatory and anti-oxidant experiments were also performed dose dependently effects to confirm the beneficial physiological effects of Aloe vera MAP.

Isolation and Characterizaton of Plasmids from Streptomyces

  • Joe, Young-Ae;Goo, Yang-Mo
    • Journal of Microbiology and Biotechnology
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    • v.4 no.4
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    • pp.278-284
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    • 1994
  • Streptomyces spp. purchased from American Type Culture Collection and Institute for Fermentation in Osaka, and donated from Northem Regional Research Laboratory, and those isolated from soil samples were assayed to isolate many plasmids harboring streptomycetes. Among these qrganisms, 5 small size-plasmid carrying organisms SNUS 8810-597A, 8810-600, 8810-754, 8811-344, and 8811-347 were characterized and their plasmids pSJ597, pSJ600, pSJ754, pSJ344, and pSJ347 were isolated in a large scale. The plasmid harboring organisms were sensitive to neomycin, kanamycin, gentamicin, and thiostreptone, but some of them showed weak or strong resistance against streptomycin, chloramphenicol, ampicillin, and tetracycline. It was confirmed that pSJ597 and pSJ600 do not carry antibiotic biosynthetic genes. pSJ600 showed a pock-forming character.

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Screening Resistant Red Pepper Varieties to Meloidogyne hapla and their Resistance Mechanisms (당근뿌리혹선충(Meloidogyne hapla)에 대한 저항성고추 선발 및 저항성기작 연구)

  • 한상찬;김용균
    • Korean journal of applied entomology
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    • v.36 no.2
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    • pp.185-191
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    • 1997
  • One hundred seventy five red pepper varieties were bioassayed for selecting resistant varieties to northern rootknot nematode, Meloidogyne hapla. Fifteen native varieties (IT 102794, 104806, 105516, etc) and two imported varieties were proved to be resistant while the currently cultivated varieties such as Hongtap, Kangsan, Hongsil, and Bookang were moderately resistant to the nematodes. Resistant varieties resulted in less nematode infection and development than did the susceptibles. Roots of the resistant strains had significantly higher esterase and peroxidase activities than did those of the susceptibles.

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Screening of Some Indigenous and Exotic Mulberry Varieties against Major Foliar Fungal and Bacterial Diseases

  • Maji M.D.;Sau H.;Das B.K.;Urs S. Raje
    • International Journal of Industrial Entomology and Biomaterials
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    • v.12 no.1
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    • pp.35-39
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    • 2006
  • Fifty-six indigenous and twenty nine exotic mulberry varieties were screened against powdery mildew, Myrothecium leaf spot, Pseudocercospora leaf spot, sooty mold and bacterial leaf spot for a period of three years under field condition. The percent disease index (PDI) was recorded during peak season of the foliar diseases. Out of eighty-five varieties studied, ten varieties were highly resistant and eight were resistant to powdery mildew; six varieties were immune and seventy-eight varieties were highly resistant to Myrothecium leaf spot; sixty varieties were highly resistant and 21 were resistant to Pseudocercospora leaf spot; forty four varieties were highly resistant to sooty mold and two varieties were immune and fifty-eight were highly resistant to bacterial leaf spot. Lowest cumulatative disease index was observed in M. multicaulis (7.28) followed by Thailand lobed (7.85) and Italian mulberry (8.06).

Relationships Between the Larval Growth Inhibition of Caenorhabditis elegans by Apigenin Derivatives and Their Structures

  • Yoon, Young-Ah;Kim, Ho-Jung;Lim, Yoong-Ho;Shim, Yhong-Hee
    • Archives of Pharmacal Research
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    • v.29 no.7
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    • pp.582-586
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    • 2006
  • Due to consumer reluctance to take synthetic drugs for nematode infections and the appearance of resistance to anthelminthic drugs, new drugs from natural products must be developed. Caenorhabditis elegans is one of the freely living nematodes and serves as a good model system for screening anthelminthic drugs. In this study, thirteen flavonoid derivatives were tested for anthelminthic activity and the relationships between their activities and structures were investigated. The structural information combined with the data for the larval growth inhibition of C. elegans provided meaningful structural insights in the search for new anthelminthic drugs.

Ovarian Cancer Prognostic Prediction Model Using RNA Sequencing Data

  • Jeong, Seokho;Mok, Lydia;Kim, Se Ik;Ahn, TaeJin;Song, Yong-Sang;Park, Taesung
    • Genomics & Informatics
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    • v.16 no.4
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    • pp.32.1-32.7
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    • 2018
  • Ovarian cancer is one of the leading causes of cancer-related deaths in gynecological malignancies. Over 70% of ovarian cancer cases are high-grade serous ovarian cancers and have high death rates due to their resistance to chemotherapy. Despite advances in surgical and pharmaceutical therapies, overall survival rates are not good, and making an accurate prediction of the prognosis is not easy because of the highly heterogeneous nature of ovarian cancer. To improve the patient's prognosis through proper treatment, we present a prognostic prediction model by integrating high-dimensional RNA sequencing data with their clinical data through the following steps: gene filtration, pre-screening, gene marker selection, integrated study of selected gene markers and prediction model building. These steps of the prognostic prediction model can be applied to other types of cancer besides ovarian cancer.

TcellInflamedDetector: an R package to distinguish T cell inflamed tumor types from non-T cell inflamed tumor types

  • Yang, San-Duk;Park, Hyun-Seok
    • Genomics & Informatics
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    • v.20 no.1
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    • pp.13.1-13.4
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    • 2022
  • A major issue in the use of immune checkpoint inhibitors is their lack of efficacy in many patients. Previous studies have reported that the T cell inflamed signature can help predict the response to immunotherapy. Thus, many studies have investigated mechanisms of immunotherapy resistance by defining the tumor microenvironment based on T cell inflamed and non-T cell inflamed subsets. Although methods of calculating T cell inflamed subsets have been developed, valid screening tools for distinguishing T cell inflamed from non-T cell inflamed subsets using gene expression data are still needed, since general researchers who are unfamiliar with the details of the equations can experience difficulties using extant scoring formulas to conduct analyses. Thus, we introduce TcellInflamedDetector, an R package for distinguishing T cell inflamed from non-T cell inflamed samples using cancer gene expression data via bulk RNA sequencing.

Complete Genome Sequence of Chryseobacterium mulctrae KACC 21234T : A Potential Proteolytic and Lipolytic Bacteria Isolated from Bovine Raw Milk

  • Elnar, Arxel G.;Kim, Geun-Bae
    • Journal of Dairy Science and Biotechnology
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    • v.40 no.2
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    • pp.86-91
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    • 2022
  • Chryseobacterium mulctrae KACC 21234T is a novel species isolated from raw bovine milk. Psychrotrophic bacteria are considered contaminants and are hypothesized to originate from the environment. In this investigation, the C. mulctrae KACC 21234T genome was determined to be 4,868,651 bp long and assembled into four contigs with a G+C ratio of 33.8%. In silico genomic analyses revealed the presence of genes encoding proteases (endopeptidase Clp, oligopeptidase b, carboxypeptidase) and lipases (phospholipase A(2), phospholipase C, acylglycerol lipase) that can catalyze the degradation of the proteins and lipids in milk, causing its quality to deteriorate. Additionally, antimicrobial resistance and putative bacteriocin genes were detected, potentially intensifying the pathogenicity of the strain. The genomic evidence presented highlights the need for improved screening protocols to minimize the potential contamination of milk by proteolytic and lipolytic psychrotrophic bacteria.

Identification of inhibitors against ROS1 targeting NSCLC by In- Silico approach

  • Bavya, Chandrasekhar
    • Journal of Integrative Natural Science
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    • v.15 no.4
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    • pp.171-177
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    • 2022
  • ROS1 (c-ros oncogene) is one of the gene with mutation in NSCLC (non-small cell lung cancer). The increased expression of ROS1 is leading to the increase proliferation of cell, cell migration and survival. Crizotinib and Entrectinib are the drugs that have been approved by FDA against ROS1 protein, but recently patients started to develop resistance against Crizotinib and there is a need of new drug that could act as an effective drug against ROS1 for NSCLC. In this study, we have performed virtual screening, where compounds are taken from Zinc 15 dataset and molecular docking was performed. The top compounds were taken based upon their binding affinity and their interactions with the residues. The compounds stability and chemical reactivity was also studied through Density Functional theory and their properties. Further study of these compounds could reveal the required information of ROS1-inhibitor complex and in the discovery of potent inhibitors.

Corrosion Inhibition Screening of 2-((6-aminopyridin-2-yl)imino)indolin-3-one: Weight Loss, Morphology, and DFT Investigations

  • Nadia Betti;Ahmed A. Al-Amiery
    • Corrosion Science and Technology
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    • v.22 no.1
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    • pp.10-20
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    • 2023
  • Because of its inexpensive cost, mild steel is frequently employed as a construction material in different industries. Unfortunately, because of its limited resistance to corrosion, a protective layer must be applied to keep it from decaying in acidic or basic environments. The presence of heteroatoms, such as nitrogen, oxygen, and pi-electrons in the Schiff base could cause effective adsorption on the mild steel surface, preventing corrosion. The weight loss method and scanning electron microscopy (SEM) were used to investigate the inhibitory effects of APIDO on mild steel in a 1 M hydrochloric acid environment. The efficiency of inhibition increased as the inhibitor concentration increased and decreased as the temperature increased. The SEM analysis confirmed that the corrosion inhibition of APIDO proceeded by the formation of an organic protective layer over the mild steel surface by the adsorption process. Simulations based on the density functional theory are used to associate inhibitory efficacy with basic molecular characteristics. The findings acquired were compatible with the experimental information provided in the research.