scholarly journals Rapid direct detection of carbapenemase-producing Enterobacteriaceae in clinical urine samples by MALDI-TOF MS analysis

2017 ◽  
pp. dkw579 ◽  
Author(s):  
Marina Oviaño ◽  
Cecilia de la Luna Ramírez ◽  
Luis Pedro Barbeyto ◽  
Germán Bou
2019 ◽  
Vol 567 ◽  
pp. 45-50 ◽  
Author(s):  
Elena N. Elpidina ◽  
Tatiana A. Semashko ◽  
Yulia A. Smirnova ◽  
Elena A. Dvoryakova ◽  
Yakov E. Dunaevsky ◽  
...  

Open Medicine ◽  
2020 ◽  
Vol 15 (1) ◽  
pp. 266-273
Author(s):  
Min Tang ◽  
Jia Yang ◽  
Ying Li ◽  
Luhua Zhang ◽  
Ying Peng ◽  
...  

AbstractMatrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF MS) has become one of the most popular methods for the rapid and cost-effective detection of clinical pathogenic microorganisms. This study aimed to evaluate and compare the diagnostic performance of MALDI-TOF MS with that of conventional approaches for the direct identification of pathogens from urine samples. A systematic review was conducted based on a literature search of relevant databases. The pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR) and area under the summary receiver operating characteristic (SROC) curve of the combined studies were estimated. Nine studies with a total of 3920 subjects were considered eligible and included in the meta-analysis. The pooled sensitivity was 0.85 (95% CI 0.79-0.90), and the pooled specificity was 0.93 (95% CI 0.82-0.97). The PLR and NLR were 11.51 (95% CI 4.53-29.26) and 0.16 (95% CI 0.11-0.24), respectively. The area under the SROC curve was 0.93 (95% CI 0.91-0.95). Sensitivity analysis showed that the results of this meta-analysis were stable. MALDI-TOF MS could directly identify microorganisms from urine samples with high sensitivity and specificity.


2006 ◽  
Vol 36 (4-5) ◽  
pp. 517-527 ◽  
Author(s):  
Jürgen Schiller ◽  
Rosmarie Süß ◽  
Beate Fuchs ◽  
Matthias Müller ◽  
Marijana Petković ◽  
...  
Keyword(s):  

2012 ◽  
Vol 60 (19) ◽  
pp. 5013-5022 ◽  
Author(s):  
Wei-Ming Chai ◽  
Yan Shi ◽  
Hui-Ling Feng ◽  
Ling Qiu ◽  
Hai-Chao Zhou ◽  
...  

Author(s):  
Hanene Benyahia ◽  
Basma Ouarti ◽  
Adama Zan Diarra ◽  
Mehdi Boucheikhchoukh ◽  
Mohamed Nadir Meguini ◽  
...  

Abstract Lice pose major public and veterinary health problems with economic consequences. Their identification is essential and requires the development of an innovative strategy. MALDI-TOF MS has recently been proposed as a quick, inexpensive, and accurate tool for the identification of arthropods. Alcohol is one of the most frequently used storage methods and makes it possible to store samples for long periods at room temperature. Several recent studies have reported that alcohol alters protein profiles resulting from MS analysis. After preliminary studies on frozen lice, the purpose of this research was to evaluate the influence of alcohol preservation on the accuracy of lice identification by MALDI-TOF MS. To this end, lice stored in alcohol for variable periods were submitted for MS analysis and sample preparation protocols were optimized. The reproducibility and specificity of the MS spectra obtained on both these arthropod families allowed us to implement the reference MS spectra database (DB) with protein profiles of seven lice species stored in alcohol. Blind tests revealed a correct identification of 93.9% of Pediculus humanus corporis (Linnaeus, 1758) and 98.4% of the other lice species collected in the field. This study demonstrated that MALDI-TOF MS could be successfully used for the identification of lice stored in alcohol for different lengths of time.


2017 ◽  
Vol 115 ◽  
pp. 10-12 ◽  
Author(s):  
J.-P. Wickhorst ◽  
O. Sammra ◽  
A.A. Hassan ◽  
M. Alssashen ◽  
C. Lämmler ◽  
...  
Keyword(s):  

2015 ◽  
Vol 3 (48) ◽  
pp. 9330-9339 ◽  
Author(s):  
Xing-yu Long ◽  
Qun Song ◽  
Hong-zhen Lian

Lichee-like core–shell structured magnetic lutetium phosphate (Fe3O4@LuPO4) affinity microspheres were synthesized, characterized and successfully applied to enrich phosphopeptides.


Sign in / Sign up

Export Citation Format

Share Document