scholarly journals MALDI-TOF MS Based Bacterial Antibiotics Resistance Finger Print for Diabetic Pedopathy

2022 ◽  
Vol 9 ◽  
Haojie Sun ◽  
Peng Lai ◽  
Wei Wu ◽  
Hao Heng ◽  
Shanwen Si ◽  

Diabetes mellitus has become a major global health issue. Currently, the use of antibiotics remains the best foundational strategy in the control of diabetic foot infections. However, the lack of accurate identification of pathogens and the empirical use of antibiotics at early stages of infection represents a non-targeted treatment approach with a poor curative effect that may increase the of bacterial drug resistance. Therefore, the timely identification of drug resistant bacteria is the key to increasing the efficacy of treatments for diabetic foot infections. The traditional identification method is based on bacterial morphology, cell physiology, and biochemistry. Despite the simplicity and low costs associated with this method, it is time-consuming and has limited clinical value, which delays early diagnosis and treatment. In the recent years, MALDI-TOF MS has emerged as a promising new technology in the field of clinical microbial identification. In this study, we developed a strategy for the identification of drug resistance in the diagnosis of diabetic foot infections using a combination of macro-proteomics and MALDI MS analysis. The macro-proteomics result was utilized to determine the differential proteins in the resistance group and the corresponding peptide fragments were used as the finger print in a MALDI MS analysis. This strategy was successfully used in the research of drug resistance in patients with diabetic foot infections and achieved several biomarkers that could be used as a finger print for 4 different drugs, including ceftazidime, piperacillin, levofloxacin, and tetracycline. This method can quickly confirm the drug resistance of clinical diabetic foot infections, which can help aid in the early treatment of patients.

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

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

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 ◽  
J.-P. Wickhorst ◽  
O. Sammra ◽  
A.A. Hassan ◽  
M. Alssashen ◽  
C. Lämmler ◽  

2015 ◽  
Vol 3 (48) ◽  
pp. 9330-9339 ◽  
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.

2010 ◽  
Vol 4 (8-9) ◽  
pp. 697-705 ◽  
Henning G. Hansen ◽  
Julie Overgaard ◽  
Maria Lajer ◽  
Frantisek Hubalek ◽  
Peter Højrup ◽  

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