Background: Moraxella osloensis rarely causes infection in humans, and most of the reported cases are not fatal. It is often difficult to identify M. osloensis using conventional biochemical methods.
Methods: Here, we report a bacteremia case caused by M. osloensis in a patient with advanced lung cancer who initially presented symptoms of fever.
Results: Blood culture revealed growth of a gram-negative bacterium, which was identified as M. osloensis through 16S rRNA gene sequencing and MALDI-TOF analyses. The patient could not recover from sepsis with empirical treatment.
Conclusions: As M. osloensis can cause serious infections in immunocompromised patients, its prompt identification is important.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.7754/Clin.Lab.2020.200459 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
A Case of Peritoneal Dialysis-Related Peritonitis Due to Moraxella osloensis.
Cureus
November 2024
Department of Nephrology, Nagasaki University Hospital, Nagasaki, JPN.
A 46-year-old woman on peritoneal dialysis (PD) had cloudy peritoneal dialysis effluent that had persisted for 10 days by the time she visited our hospital. The white blood cell count in the effluent was elevated to 1500/μL, leading to a diagnosis of peritoneal dialysis-associated peritonitis. The effluent cleared within two days with treatment using cefazolin and ceftazidime, and the white blood cell count dropped to 0/μL by day 6.
View Article and Find Full Text PDFCharacterization of Tomato Seed Endophytic Bacteria as Growth Promoters and Potential Biocontrol Agents.
Plant Pathol J
December 2024
Department of Applied Bioscience, Dong-A University, Busan 49315, Korea.
Endophytic bacteria residing within plant seeds are increasingly recognized for their potential to enhance plant growth and provide biocontrol against pathogens. Despite this, seed-borne endophytes remain underexplored in many crops, including tomato. In this study, we isolated and characterized bacterial endophytes from tomato seeds and evaluated their plant growth-promoting traits and antifungal activities.
View Article and Find Full Text PDFBacillus xiamenensis Inhibits the Growth of Moraxella osloensis by Producing Indole-3-Carboxaldehyde.
Microbiologyopen
December 2024
Department of Applied Biological Science, Faculty of Science and Technology, Tokyo University of Science, Noda-shi, Chiba, Japan.
Moraxella osloensis, a gram-negative rod-shaped bacterium found on human skin, produces 4-methyl-3-hexenoic acid, contributing to clothing and body malodor. M. osloensis is resistant to UV light, drying, and antimicrobials, making its eradication challenging.
View Article and Find Full Text PDFFunctional metagenomics highlights varied infection states with dynamics of pathogens and antibiotic resistance in lower respiratory tract infections.
Heliyon
October 2024
Division of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi-110007, India.
Article Synopsis
- - Antimicrobial resistance (AMR) in bacterial species complicates the treatment of lower respiratory tract infections (LRTIs), increasing hospitalization and mortality rates among affected patients.
- - A study analyzed bronchoalveolar lavage fluid from 84 LRTI patients using advanced sequencing methods, finding that a new technology (mNGS) was more effective in detecting pathogens compared to conventional methods, revealing a variety of respiratory and non-respiratory pathogens, as well as significant resistance genes.
- - The findings emphasize the importance of mNGS in accurately identifying pathogens and AMR, which is critical for better understanding and addressing LRTIs and combating rising antibiotic resistance.
The application of metagenomics, radiomics and machine learning for diagnosis of sepsis.
Front Med (Lausanne)
September 2024
Clinical Laboratory, Chongqing University Central Hospital, School of Medicine, Chongqing University, Chongqing, China.
Introduction: Sepsis poses a serious threat to individual life and health. Early and accessible diagnosis and targeted treatment are crucial. This study aims to explore the relationship between microbes, metabolic pathways, and blood test indicators in sepsis patients and develop a machine learning model for clinical diagnosis.
View Article and Find Full Text PDFWant 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!