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Published on: October 30, 2016
[Establishment of protein fingerprint database of Salmonella paratyphi A using SELDI-TOF-MS]
Xiao-qing Li1, Wen-fang Huang, Hua Liu
1Department of Laboratory Medicine, Chongqing Medical University, Chongqing, China.
Aim:
To establish a protein fingerprint database of Salmonella paratyphi A by surface enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS).
Methods:
Thirty-six clinical bacterial isolates and 96 control bacteria isolates were collected and identified using 16S rDNA sequencing. Bacterial proteins were detected by SELDI-TOF-MS, and all protein fingerprints were analyzed by ProteinChip and Biomarker Wizard software. The analysis results were used to set up a classification tree model by means of BioMarker Patterns software. At the same time, the data were tested by a blinded validation.
Results:
In the range of M(r); 3 000-20 000, we obtained 104 protein peaks, of which 90 were of statistical significance (P<0.01). A protein peak with mass-to-charge ratio(M/Z) 10 061.7 was chosen to establish the classification tree model of Salmonella paratyphi A, and the sensitivity and specificity of Salmonella paratyphi A diagnosis was 100% as shown by the blinded validation.
Conclusion:
The classification tree model of Salmonella paratyphi A can be not only established using SELDI-TOF-MS technology, but also used for the rapid identification of Salmonella paratyphi A.
Insights
This study establishes a protein fingerprint database for Salmonella paratyphi A using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS). The developed model enables rapid and accurate identification of Salmonella paratyphi A.
Area of Science:
- Microbiology
- Biotechnology
- Analytical Chemistry
Context:
- Salmonella paratyphi A is a significant human pathogen.
- Accurate and rapid diagnostics are crucial for controlling outbreaks.
- Existing diagnostic methods may have limitations in speed or specificity.
Purpose:
- To develop a protein fingerprint database for Salmonella paratyphi A.
- To utilize Surface-Enhanced Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (SELDI-TOF-MS) for bacterial protein profiling.
- To establish a classification model for rapid identification.
Summary:
- Bacterial protein profiles were generated using SELDI-TOF-MS from clinical and control isolates.
- A classification tree model was built using a specific protein peak (M/Z 10061.7).
- Blinded validation demonstrated 100% sensitivity and specificity for Salmonella paratyphi A diagnosis.
Impact:
- The study presents a novel, rapid, and highly accurate method for identifying Salmonella paratyphi A.
- The established protein fingerprint database can aid in future diagnostic development.
- This technology has the potential to improve clinical diagnostics and public health surveillance.
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