In the past 12 years, several case reports have clearly demonstrated that is capable of causing sepsis and bacteremia in humans. However, since most clinicians are not familiar with this species, little is known about its pathogenicity and treatment options while it is as rare but underestimated human pathogen. Therefore, a larger strain collection is required so that methods can be identified that are most suitable to obtain rapid and reliable identification. Moreover, the antimicrobial resistance profile needs to be elucidated in order to explore possible treatment options. Over a period of 6 years, we therefore have collected a total of 14 isolates in routine diagnostics, which now served as the basis for a comprehensive characterization with respect to identification and antibiotic profiling. We compared the accuracy and convenience of several identification techniques in which MALDI-TOF MS and sequencing of the 16S rRNA gene have proven to be suitable for identification of In addition, whole genome sequencing (WGS)-based digital DNA-DNA hybridization (dDDH) was used as a reference method for strain identification, and surprised with the detection of a novel subspecies. A combination of and analyses revealed a first insight into the antimicrobial resistance profile and the molecular basis of antimicrobial resistance. Based on our findings, trimethoprim/sulfamethoxazole, levofloxacin, and cephalosporins (e.g., ceftazidime) may be the best antibiotics to use in order to treat infections caused by , while resistance to fosfomycin, amikacin and tobramycin is observed.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496446PMC
http://dx.doi.org/10.3389/fmicb.2021.712775DOI Listing

Publication Analysis

Top Keywords

antimicrobial resistance
12
identification antibiotic
8
antibiotic profiling
8
underestimated human
8
human pathogen
8
treatment options
8
resistance profile
8
identification
6
profiling underestimated
4
pathogen years
4

Similar Publications

The Canadian Genomics Research and Development Initiative for Antimicrobial Resistance (GRDI-AMR) uses a genomics-based approach to understand how health care, food production and the environment contribute to the development of antimicrobial resistance. Integrating genomics contextual data streams across the One Health continuum is challenging because of the diversity in data scope, content and structure. To better enable data harmonization for analyses, a contextual data standard was developed.

View Article and Find Full Text PDF

Introduction: This study aims to investigate the presence of class 1, 2, and 3 integrons in Acinetobacter baumannii isolates, evaluate the relationship between integrons and antibiotic resistance and determine the clonal relationship between isolates by PFGE method.

Methodology: A total of 188 A. baumannii strains between February 2020 and March 2023 were included in the study.

View Article and Find Full Text PDF

Introduction: Appropriate antibiotic use requires using the right antibiotic, at the right dose, for the right duration, and at the right time. Drug-resistant diseases cause numerous deaths globally a year, and antibiotic stewardship is a cornerstone in fighting antibiotic resistance. This study focuses on tracking the antibiotic prescribing practices in Palestine and improving future antibiotic prescribing.

View Article and Find Full Text PDF

Introduction: Antimicrobial resistance remains a global threat with increasing morbidity and mortality rates. The aim of this study was to identify the antimicrobial resistance trends among ESKAPE pathogens (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter spp.) isolated from clinical samples at a Health Practice and Research Hospital over five years.

View Article and Find Full Text PDF

Introduction: The emergence of livestock-associated methicillin-resistant Staphylococcus aureus (LA-MRSA) is a growing public health concern. The objective of this study was to determine the prevalence and multi-drug resistant (MDR) profiles of MRSA in goats in Bangladesh.

Methodology: A total of 150 samples from goats comprised of rectal swab (n = 50), nasal swab (n = 50), and milk (n = 50) were collected.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!