Molecular mechanisms of pore formation and membrane disruption by the antimicrobial lantibiotic peptide Mutacin 1140

2019 ◽  
Vol 21 (23) ◽  
pp. 12530-12539 ◽  
Author(s):  
Rudramani Pokhrel ◽  
Nisha Bhattarai ◽  
Prabin Baral ◽  
Bernard S. Gerstman ◽  
Jae H. Park ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Human Health ◽  
Pore Formation ◽  
Molecular Mechanisms ◽  
Membrane Disruption ◽  
Mutacin 1140 ◽  
Novel Antibiotics

The emergence of antibiotic-resistance is a major concern to global human health and identification of novel antibiotics is critical to mitigate the threat.

Recent Review on Subclass B1 Metallo-β-lactamases Inhibitors: Sword for Antimicrobial Resistance

2019 ◽  
Vol 20 (7) ◽  
pp. 756-762 ◽  
Author(s):  
Aditi Kaushik ◽  
Manish Kaushik ◽  
Viney Lather ◽  
J.S. Dua
Keyword(s):  
Antibiotic Resistance ◽  
Multidrug Resistance ◽  
Antimicrobial Resistance ◽  
Global Health ◽  
Human Health ◽  
Microbial Pathogens ◽  
Present Review ◽  
Drug Molecules ◽  
Global Threat ◽  
Powerful Strategy

An emerging crisis of antibiotic resistance for microbial pathogens is alarming all the nations, posing a global threat to human health. The production of the metallo-β-lactamase enzyme is the most powerful strategy of bacteria to produce resistance. An efficient way to combat this global health threat is the development of broad/non-specific type of metallo-β-lactamase inhibitors, which can inhibit the different isoforms of the enzyme. Till date, there are no clinically active drugs against metallo- β-lactamase. The lack of efficient drug molecules against MBLs carrying bacteria requires continuous research efforts to overcome the problem of multidrug-resistance bacteria. The present review will discuss the clinically potent molecules against different variants of B1 metallo-β-lactamase.

scholarly journals Next Generation Sequencing for the Prediction of the Antibiotic Resistance in Helicobacter pylori: A Literature Review

Antibiotics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 437
Author(s):  
Ilaria Maria Saracino ◽  
Matteo Pavoni ◽  
Angelo Zullo ◽  
Giulia Fiorini ◽  
Tiziana Lazzarotto ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Next Generation Sequencing ◽  
Literature Review ◽  
Molecular Mechanisms ◽  
World Health ◽  
Next Generation ◽  
Culture Methods ◽  
Phenotypic Resistance ◽  
H Pylori ◽  
Generation Sequencing

Background and aims: Only a few antimicrobials are effective against H. pylori, and antibiotic resistance is an increasing problem for eradication therapies. In 2017, the World Health Organization categorized clarithromycin resistant H. pylori as a “high-priority” bacterium. Standard antimicrobial susceptibility testing can be used to prescribe appropriate therapies but is currently recommended only after the second therapeutic failure. H. pylori is, in fact, a “fastidious” microorganism; culture methods are time-consuming and technically challenging. The advent of molecular biology techniques has enabled the identification of molecular mechanisms underlying the observed phenotypic resistance to antibiotics in H. pylori. The aim of this literature review is to summarize the results of original articles published in the last ten years, regarding the use of Next Generation Sequencing, in particular of the whole genome, to predict the antibiotic resistance in H. pylori.Methods: a literature research was made on PubMed. The research was focused on II and III generation sequencing of the whole H. pylori genome. Results: Next Generation Sequencing enabled the detection of novel, rare and complex resistance mechanisms. The prediction of resistance to clarithromycin, levofloxacin and amoxicillin is accurate; for other antimicrobials, such as metronidazole, rifabutin and tetracycline, potential genetic determinants of the resistant status need further investigation.

scholarly journals Antibiotic resistance in lactococci and enterococci: phenotypic and molecular-genetic aspects

2017 ◽  
Vol 1 (1) ◽  
pp. 10-17
Author(s):  
Danuta Plotnikava ◽  
Anastasiya Sidarenka ◽  
Galina Novik
Keyword(s):  
Antibiotic Resistance ◽  
Resistance Genes ◽  
Molecular Mechanisms ◽  
Current Knowledge ◽  
Antibiotic Resistance Genes ◽  
Public Health Problem ◽  
Animal Husbandry ◽  
Resistant Bacteria ◽  
Monitoring And Control ◽  
Bacterial Drug Resistance

Abstract Extensive use of antibiotics in medicine, veterinary practice and animal husbandry has promoted the development and dissemination of bacterial drug resistance. The number of resistant pathogens causing common infectious diseases increases rapidly and creates worldwide public health problem. Commensal bacteria, including lactic acid bacteria of genera Enterococcus and Lactococcus colonizing gastrointestinal and urogenital tracts of humans and animals may act as vehicles of antibiotic resistance genes similar to those found in pathogens. Lactococci and enterococci are widely used in manufacturing of fermented products and as probiotics, therefore monitoring and control of transmissible antibiotic resistance determinants in industrial strains of these microorganisms is necessary to approve their Qualified Presumption of Safety status. Understanding the nature and molecular mechanisms of antibiotic resistance in enterococci and lactococci is essential, as intrinsic resistant bacteria pose no threat to environment and human health in contrast to bacteria with resistance acquired through horizontal transfer of resistance genes. The review summarizes current knowledge concerning intrinsic and acquired antibiotic resistance in Lactococcus and Enterococcus genera, and discusses role of enterococci and lactococci in distribution of this feature.

Antimicrobial carbon-dot-stabilized silver nanoparticles

2022 ◽  
Author(s):  
Jin-Liang Ma ◽  
Kexin Li ◽  
Shaobin Gu ◽  
Ying Wu ◽  
Jing Zhang ◽  
...  
Keyword(s):  
Silver Nanoparticles ◽  
Antibiotic Resistance ◽  
Human Health ◽  
Bacterial Infections ◽  
Carbon Dot ◽  
Excellent Candidate

Bacterial infections have posed an emerging threaten to human health. The overuse of various antibiotics is unavoidable to cause antibiotic resistance. Silver nanoparticles (AgNPs) provide an excellent candidate for combating...

scholarly journals An Update on the Effects of Glyceollins on Human Health: Possible Anticancer Effects and Underlying Mechanisms

Nutrients ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 79 ◽  
Author(s):  
Thu Ha Pham ◽  
Sylvain Lecomte ◽  
Theo Efstathiou ◽  
Francois Ferriere ◽  
Farzad Pakdel
Keyword(s):  
Signaling Pathways ◽  
Human Health ◽  
Molecular Mechanisms ◽  
Biologically Active ◽  
Receptor Protein ◽  
Lipid Kinase ◽  
New Family ◽  
Anticancer Effects ◽  
Underlying Mechanisms ◽  
And Function

Biologically active plant-based compounds, commonly referred to as phytochemicals, can influence the expression and function of various receptors and transcription factors or signaling pathways that play vital roles in cellular functions and are then involved in human health and diseases. Thus, phytochemicals may have a great potential to prevent and treat chronic diseases. Glyceollins, a group of phytoalexins that are isolated from soybeans, have attracted attention because they exert numerous effects on human functions and diseases, notably anticancer effects. In this review, we have presented an update on the effects of glyceollins in relation to their potential beneficial roles in human health. Despite a growing number of studies suggesting that this new family of phytochemicals can be involved in critical cellular pathways, such as estrogen receptor, protein kinase, and lipid kinase signaling pathways, future investigations will be needed to better understand their molecular mechanisms and their specific significance in biomedical applications.

scholarly journals Mitochondrial Iron in Human Health and Disease

2019 ◽  
Vol 81 (1) ◽  
pp. 453-482 ◽  
Author(s):  
Diane M. Ward ◽  
Suzanne M. Cloonan
Keyword(s):  
Human Health ◽  
Mammalian Cells ◽  
Molecular Mechanisms ◽  
Innate Immune ◽  
Biological Functions ◽  
Mitochondrial Homeostasis ◽  
Innate Immune Signaling ◽  
Mitochondrial Iron ◽  
Health And Disease

Mitochondria are an iconic distinguishing feature of eukaryotic cells. Mitochondria encompass an active organellar network that fuses, divides, and directs a myriad of vital biological functions, including energy metabolism, cell death regulation, and innate immune signaling in different tissues. Another crucial and often underappreciated function of these dynamic organelles is their central role in the metabolism of the most abundant and biologically versatile transition metals in mammalian cells, iron. In recent years, cellular and animal models of mitochondrial iron dysfunction have provided vital information in identifying new proteins that have elucidated the pathways involved in mitochondrial homeostasis and iron metabolism. Specific signatures of mitochondrial iron dysregulation that are associated with disease pathogenesis and/or progression are becoming increasingly important. Understanding the molecular mechanisms regulating mitochondrial iron pathways will help better define the role of this important metal in mitochondrial function and in human health and disease.

scholarly journals Deep analysis and optimization of CARD antibiotic resistance gene discovery models

BMC Genomics ◽  
2019 ◽  
Vol 20 (S10) ◽  
Author(s):  
Haobin Yao ◽  
Siu-Ming Yiu
Keyword(s):  
Antibiotic Resistance ◽  
Human Health ◽  
Resistance Gene ◽  
Decision Model ◽  
Antibiotic Resistance Gene ◽  
Gene Discovery ◽  
Antibiotic Resistance Genes ◽  
Optimization Method ◽  
Depth Analysis ◽  
Card Model

Abstract Background Identification of antibiotic resistance genes from environmental samples has been a critical sub-domain of gene discovery which is directly connected to human health. However, it is drawing extraordinary attention in recent years and regarded as a severe threat to human health by many institutions around the world. To satisfy the needs for efficient ARG discovery, a series of online antibiotic resistance gene databases have been published. This article will conduct an in-depth analysis of CARD, one of the most widely used ARG databases. Results The decision model of CARD is based the alignment score with a single ARG type. We discover the occasions where the model is likely to make false prediction, and then propose an optimization method on top of the current CARD model. The optimization is expected to raise the coherence with BLAST homology relationships and improve the confidence for identification of ARGs using the database. Conclusions The absence of public recognized benchmark makes it challenging to evaluate the performance of ARG identification. However, possible wrong predictions and methods for resolving the problem can be inferred by computational analysis of the identification method and the underlying reference sequences. We hope our work can bring insight to the mission of precise ARG type classifications.

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