Last update 01 Nov 2024

MurA

Last update 01 Nov 2024

Basic Info

Synonyms-

Introduction-

Drugs associated with MurA

RWJ-140998

Target

MurA

Mechanism

MurA inhibitors

Active Org.-

Originator Org.

R.W. Johnson Pharmaceutical Research Institute

Active Indication-

Inactive Indication

Bacterial Infections

Drug Highest PhasePending

First Approval Ctry. / Loc.-

First Approval Date20 Jan 1800

RWJ-3981

Target

MurA

Mechanism

MurA inhibitors

Active Org.-

Originator Org.

R.W. Johnson Pharmaceutical Research Institute

Active Indication-

Inactive Indication

Bacterial Infections

Drug Highest PhasePending

First Approval Ctry. / Loc.-

First Approval Date20 Jan 1800

100 Clinical Results associated with MurA

100 Translational Medicine associated with MurA

0 Patents (Medical) associated with MurA

269

Literatures (Medical) associated with MurA

01 Jan 2025·Journal of Ethnopharmacology

Shuanghuanglian volatile oil exerts antipyretic, anti-inflammatory, and antibacterial synergistic effects through multiple pathways

Article

Author: Fan, Yunpeng ; Ma, Wuren ; Zhang, Weimin ; Tong, Yinchao ; Xiao, Xinglan ; Zhu, Leixin ; Zhang, Hanwen ; Sheng, Zhenwei ; Liu, Yingqiu ; Sun, Shaoqiang ; Qing, Suzhu ; Zhuang, Shen

ETHNOPHARMACOLOGICAL RELEVANCETraditional Chinese Medicine (TCM) has a rich history spanning 2000 years. Shuanghuanglian, a traditional Chinese herbal formula composed of three botanicals, is primarily used to treat colds, respiratory infections (including bacterial pneumonia), and pharyngitis. Previous research has found that the volatile oil of Shuanghuanglian is crucial for its efficacy. However, there is a lack of studies investigating its mechanisms.AIM OF THE STUDYThis study aims to explore the antibacterial and anti-inflammatory mechanisms of Shuanghuanglian volatile oil and its potential to enhance the antibacterial effects when used in conjunction with antibiotics.METHODSDetermination of the GC-MS fingerprint of SVO using Gas Chromatography-Mass Spectrometry (GC-MS), The antibacterial effects of SVO on multidrug-resistant Klebsiella pneumoniae (MDR-KP) were assessed by detecting MIC, checkerboard method assay, time-kill curves, resistance growth curves, transcriptome sequencing analysis, scanning electron microscopy(SEM), purification, and quantitative analysis of extracellular polysaccharides(EPS). In vivo part, an MDR-KP induced mouse pneumonia model was established to evaluate the mitigating effects of SVO on mouse pneumonia, using comprehensive network pharmacology and bioinformatics to identify genes related to bacterial pneumonia and potential targets of SVO. Validation was performed through molecular docking, qPCR, and ELISA tests.RESULTSSVO modulates the expression of MDR-KP mRNA for wecB, wecC, murA, murD, murE, murF, inhibiting the synthesis of O-antigen polysaccharides and peptidoglycans, thereby compromising bacterial cell wall integrity and affecting the synthesis of biofilms. These actions not only exhibit antibacterial effects but also enhance antibacterial activity, restoring the sensitivity of CEF to MDR-KP. SVO suppresses the biological activity of PTGS2, reducing the production of Prostaglandin E2 (PGE2), thereby exerting antipyretic and anti-inflammatory effects, providing new insights for the development of natural non-steroidal anti-inflammatory drugs (NSAIDs).CONCLUSIONSOur research indicates that SVO exerts antipyretic, anti-inflammatory, and antibacterial synergistic effects through multiple pathways.

01 Oct 2024·Molecular Microbiology

Cytosolic Factors Controlling PASTA Kinase‐Dependent ReoM Phosphorylation

Article

Author: Wamp, Sabrina ; Halbedel, Sven ; Gründling, Angelika ; Doellinger, Joerg ; Rismondo, Jeanine ; Rothe, Patricia ; Rosemeyer, Lisa

ABSTRACTBacteria adapt the biosynthesis of their envelopes to specific growth conditions and prevailing stress factors. Peptidoglycan (PG) is the major component of the cell wall in Gram‐positive bacteria, where PASTA kinases play a central role in PG biosynthesis regulation. Despite their importance for growth, cell division and antibiotic resistance, the mechanisms of PASTA kinase activation are not fully understood. ReoM, a recently discovered cytosolic phosphoprotein, is one of the main substrates of the PASTA kinase PrkA in the Gram‐positive human pathogen Listeria monocytogenes. Depending on its phosphorylation, ReoM controls proteolytic stability of MurA, the first enzyme in the PG biosynthesis pathway. The late cell division protein GpsB has been implicated in PASTA kinase signalling. Consistently, we show that L. monocytogenes prkA and gpsB mutants phenocopied each other. Analysis of in vivo ReoM phosphorylation confirmed GpsB as an activator of PrkA leading to the description of structural features in GpsB that are important for kinase activation. We further show that ReoM phosphorylation is growth phase‐dependent and that this kinetic is reliant on the protein phosphatase PrpC. ReoM phosphorylation was inhibited in mutants with defects in MurA degradation, leading to the discovery that MurA overexpression prevented ReoM phosphorylation. Overexpressed MurA must be able to bind its substrates and interact with ReoM to exert this effect, but the extracellular PASTA domains of PrkA or MurJ flippases were not required. Our results indicate that intracellular signals control ReoM phosphorylation and extend current models describing the mechanisms of PASTA kinase activation.

17 Sep 2024·ACS Omega

Multiobjective Optimization Strategy for Enhancing the Efficiency and Quality of Organic Thin-Film Manufacturing with Electrohydrodynamic Atomization Coating

Article

Author: Chen, Jiankui ; Pan, Fei ; Tang, Wei ; Yin, Zhouping ; Hu, Chao ; Wang, Guozhen ; Chen, Wei

Electrohydrodynamic atomization coating technology is well-suited for micro-/nanoscale thin-film additive manufacturing. However, there are still some challenges in quality control and parameter adjustment during the coating process. Especially when coating on nonconductive and nonhydrophilic substrates, film quality and thickness uniformity are difficult to control. This paper proposes an optimization strategy for enhancing the efficiency and quality of thin-film manufacturing on nonconductive, nonhydrophilic glass substrates. In this paper, a visual inspection system was developed for in situ inspection and identification of droplet deposition states in the substrate surface. Then, the statistical relationship between the operating parameters and the quality of the deposition state was analyzed by response surface methodology. On this basis, machine learning models and intelligent recommendation frameworks for small data sets were developed to rapidly optimize operating parameters and improve the quality of thin-film coating. Optimization strategy developed by applying the principles of statistical modeling, analysis of variance, and global optimization are more efficient and less costly than traditional parameter screening methods. The experimental results show that optimum deposition quality can be obtained with the recommended operating parameters. And, validation results show a 12.8% improvement in film thickness uniformity. At the same time, no mura defects appeared on the thin-film surface. The proposed optimization strategy can improve the efficiency and quality of additive manufacturing of micro and nano thin films and is beneficial for advancing industrial applications of the electrohydrodynamic atomization coating.

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MurA

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