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عضویت

جستجوی مقالات مرتبط با کلیدواژه « Biofilm inhibition » در نشریات گروه « پزشکی »

  • Fatemeh Ebrahimi Tarki, Mahboobeh Zarrabi *, Ahya Abdiali ORCID, Mahkame Sharbatdar
    Background

     The rise of antibiotic resistance has become a major concern, signaling the end of the golden age of antibiotics. Bacterial biofilms, which exhibit high resistance to antibiotics, significantly contribute to the emergence of antibiotic resistance. Therefore, there is an urgent need to discover new therapeutic agents with specific characteristics to effectively combat biofilm-related infections. Studies have shown the promising potential of peptides as antimicrobial agents.

    Objectives

     This study aimed to establish a cost-effective and streamlined computational method for predicting the antibiofilm effects of peptides. This method can assist in addressing the intricate challenge of designing peptides with strong antibiofilm properties, a task that can be both challenging and costly.

    Methods

     A positive library, consisting of peptide sequences with antibiofilm activity exceeding 50%, was assembled, along with a negative library containing quorum-sensing peptides. For each peptide sequence, feature vectors were calculated, while considering the primary structure, the order of amino acids, their physicochemical properties, and their distributions. Multiple supervised learning algorithms were used to classify peptides with significant antibiofilm effects for subsequent experimental evaluations.

    Results

     The computational approach exhibited high accuracy in predicting the antibiofilm effects of peptides, with accuracy, precision, Matthew's correlation coefficient (MCC), and F1 score of 99%, 99%, 0.97, and 0.99, respectively. The performance level of this computational approach was comparable to that of previous methods. This study introduced a novel approach by combining the feature space with high antibiofilm activity.

    Conclusions

     In this study, a reliable and cost-effective method was developed for predicting the antibiofilm effects of peptides using a computational approach. This approach allows for the identification of peptide sequences with substantial antibiofilm activities for further experimental investigations. Accessible source codes and raw data of this study can be found online (hiABF), providing easy access and enabling future updates.

    Keywords: Antibiotics Resistance, Biofilm Inhibition, Peptides, Supervised Machine Learning}
  • Shaminder Singh *, Sonam Bhatia
    Currently, most of the developed and developing countries are facing the problem of infectious diseases. The genius way of an exaggerated application of antibiotics led the infectious agents to respond by bringing a regime of persisters to resist antibiotics attacks prolonging their survival. Persisters have the dexterity to communicate among themself using signal molecules via the process of Quorum Sensing (QS), which regulates virulence gene expression and biofilms formation, making them more vulnerable to antibiotic attack. Our review aims at the different approaches applied in the ordeal to solve the riddle for QS inhibitors. QS inhibitors, their origin, structures and key interactions for QS inhibitory activity have been summarized. Solicitation of a potent QS inhibitor molecule would be beneficial, giving new life to the simplest antibiotics in adjuvant therapy.
    Keywords: Quorum sensing inhibitors, Drug Resistance, CviR, LasR receptors, Biofilm inhibition}
  • Vijayalakshmi Prabhakaran, Thenmozhi Sengodan, Palaniappan Rajeswari
    Background and
    Purpose
    In current scenario, the life threatening fungal infection causing Candida species is a problematic to cure. The present study was an attempt to evaluate the virulence factors and antifungal susceptibility patterns of different Candida species isolated from hospitalized patients and it inhibited by extracts of Elettaria cardamomum.
    Materials And Methods
    A total of 202 isolates of different candida species were obtained from three government hospitals (Senthamangalam, Tiruchengode, Namakkal) in Namakkal district. The collected isolates were identified by using standard biochemical tests. Germ tube method used to differentiate the Candida albicans from other species of Candida. Candida species were tested for virulence factors such as biofilm, protease, phospholipase activity. The MIC effect of Elettaria cardamomum on MDR biofilm formation was determined by plate and tube methods.
    Results
    The identified 202 isolates of Candida species were Candida albicans (74/202), Candida glabrata (53/202), Candida parapsilosis (44/202) Candida tropicalis (15/202) and Candida dubliniensis (16/202). Then they were subjected to antifungal susceptibility testing and virulence factors determination. In biofilm production, non Candida albicans species such as Candida dubliniensis showed 75%. In protease activity, among the Candida species, Candida parapsilosis (75%) showed the highest percentage of protease production. In phospholipase activity, Candida species were shown 62.87% of strong positive. In MIC method, acetone extract completely inhibited the biofilm at the concentration of 125 µl; it has the concentration of 56.25 µg concentration of E.cardamomum. When compared to ethanol, acetone had high activity against the biofilm.
    Conclusion
    The pathogenic Candida albicans was inhibited by the ethanol and acetone extract of Elettaria cardamomum. In recent years MDR and Biofilm forming pathogenic Candida spp. were increased in the clinical field so the herbal derivative medicine may cure the infection without side effect and prevent the mortality.
    Keywords: Candida species, Virulence factors, Elettaria cardamomum, Biofilm inhibition}
  • Ahya Abdi, Ali, F. Khani, Juy Abad, S. Gharavi
    Background And Objectives
    Pseudomonas aeruginosa is an opportunistic pathogen that can produce biofilm. Biofilm is a complex, three dimensional structure in which microorganisms are attached to a surface and embedded in a matrix made of extracellular polymers. Due to high resistance to antimicrobial agents, biofilms create difficulties in various situations in healthcare. In this study, antibiofilm activities of some biocides in P. aeruginosa were studied.
    Materials And Methods
    The biofilm production ability of P. aeruginosa strain 214 (a clinical isolate) was determined in the presence of six biocides including of ethylene diamine tetra acetic acid (EDTA), silver nitrate (AgNO3), bismuth ethanedithiol (BisEDT), bismuth dimercaprol (BisBAL), bismuth-2-mercaptoethanol (BisMEO) and bismuth propanedithiol (BisPDT) using the modified microtiter plate method. Bactericidal activity of the biocides against biofilm and planktonic cells was investigated. In this study, permeation of biocides through alginate layer was evaluated with a sandwich cup method.
    Results
    The results demonstrated that in the presence of bismuth thiols, biofilm production in MIC and sub MIC concentrations was considerably inhibited. Bismuththiols had lower antibiofilm bactericidal activity than EDTA and silver nitrate. One possible mechanism of biofilm resistance is exopolysaccharide production which prevents the access of antimicrobial agents to cells inside the biofilm. Bismuth thiols could not penetrate, while EDTA and silver nitrate had high penetration rate.
    Conclusions
    Due to the frequent use of silver nitrate and EDTA in various applications, low efficacy in the inhibition of biofilm production, unstudied toxicity of BTs for humans and high efficacy in the inhibition of biofilm production, it is suggested that combinatory effect of BTs with silver nitrate or EDTA on biofilms and biofilm production be investigated.
    Keywords: P. aeruginosa, Biofilm inhibition, Biocides, Bactericidal activity}
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