ReviewFrontiers in microbiology2015
Quantitative proteomic view associated with resistance to clinically important antibiotics in Gram-positive bacteria: a systematic review.
Review in Frontiers in microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 47 citations in OpenAlex.
- Multi-omics approach for understanding the response ofHeliyon · 2024Article
- Mass spectrometry-based proteomics as an emerging tool in clinical laboratories.Clinical proteomics · 2023Review
- Phenotypic and genotypic characterization of linezolid resistance and the effect of antibiotic combinations on methicillin-resistant Staphylococcus aureus clinical isolates.Annals of clinical microbiology and antimicrobials · 2023Article
- Deciphering the virulence factors, regulation, and immune response toFrontiers in cellular and infection microbiology · 2023Review
- Specific gut microbiome signature predicts hepatitis B virus-related hepatocellular carcinoma patients with microvascular invasion.Annals of medicine · 2023Article
- In vitro activity and adaptation strategies of eravacycline in clinical Enterococcus faecium isolates from China.The Journal of antibiotics · 2022Article
- Comparative Proteomic Analysis Reveals Antibacterial Mechanism ofInfection and drug resistance · 2022Article
- Article
- Limited antimicrobial efficacy of oral care antiseptics in microcosm biofilms and phenotypic adaptation of bacteria upon repeated exposure.Clinical oral investigations · 2021Article
- Detection of Antimicrobial Resistance Using Proteomics and the Comprehensive Antibiotic Resistance Database: A Case Study.Proteomics. Clinical applications · 2020Article
- Proteomic Applications in Antimicrobial Resistance and Clinical Microbiology Studies.Infection and drug resistance · 2020Review
- Proteomic profiling ofBioImpacts : BI · 2020Article
- Analysis of multidrug resistance inVirulence · 2019Article
- Comparative proteomic analysis reveals drug resistance of Staphylococcus xylosus ATCC700404 under tylosin stress.BMC veterinary research · 2019Article
- Development of antiseptic adaptation and cross-adapatation in selected oral pathogens in vitro.Scientific reports · 2019Article
- Susceptibility to antibiotics in isolates of Lactobacillus plantarum RAPD-type Lp299v, harvested from antibiotic treated, critically ill patients after administration of probiotics.MicrobiologyOpen · 2019Article
- The Changing Pattern of Population Structure ofFrontiers in microbiology · 2018Article
- Biology ofFrontiers in cellular and infection microbiology · 2017Review
- Proteomics As a Tool for Studying Bacterial Virulence and Antimicrobial Resistance.Frontiers in microbiology · 2016Review
- Mass Spectrometry-Based Bacterial Proteomics: Focus on Dermatologic Microbial Pathogens.Frontiers in microbiology · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The increase of methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant Enterococcus (VRE) poses a worldwide and serious health threat. Although new antibiotics, such as daptomycin and linezolid, have been developed for the treatment of infections of Gram-positive pathogens, the emergence of daptomycin-resistant and linezolid-resistant strains during therapy has now increased clinical treatment failures. In the past few years, studies using quantitative proteomic methods have provided a considerable progress in understanding antibiotic resistance mechanisms. In this review, to understand the resistance mechanisms to four clinically important antibiotics (methicillin, vancomycin, linezolid, and daptomycin) used in the treatment of Gram-positive pathogens, we summarize recent advances in studies on resistance mechanisms using quantitative proteomic methods, and also examine proteins playing an important role in the bacterial mechanisms of resistance to the four antibiotics. Proteomic researches can identify proteins whose expression levels are changed in the resistance mechanism to only one antibiotic, such as LiaH in daptomycin resistance and PrsA in vancomycin resistance, and many proteins simultaneously involved in resistance mechanisms to various antibiotics. Most of resistance-related proteins, which are simultaneously associated with resistance mechanisms to several antibiotics, play important roles in regulating bacterial envelope biogenesis, or compensating for the fitness cost of antibiotic resistance. Therefore, proteomic data confirm that antibiotic resistance requires the fitness cost and the bacterial envelope is an important factor in antibiotic resistance.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.