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AIM:To investigate the relationship between urinary peptide changes and Helicobacter pylori(H.pylori) infection using urinary peptidome profiling.METHODS:The study was performed in volunteers(n = 137) who gave informed consent.Urinary peptides were enriched by magnetic beads based weak cation exchange chromatography and spectrums acquired by matrix-assisted laser desorption/ionization time-of-flight(MALDI-TOF) mass spectrometry(MS).ClinProTools bioinformatics software was used for statistical analysis and the recognition of peptide patterns.The marker peptides were identified by LTQ Obitrap XL tandem MS.RESULTS:Approximately 50 proteins or peptides which loaded onto the magnetic beads were detected by MALDI-TOF MS.By optimizing the parameters of the model,the Genetic Algorithm model had good recognition capability(97%) and positive predictive value(94%).Based on the model,2 markers with molecular masses of 6788 and 1912 Da were found that differentiated between H.pylori positive and negative volunteers.The m/z 1912 sequence was parsed as SKQFTSSTSYNRGDSTF.The peptide was identified as isoform 1 of the fibrinogen α chain precursor,whose concentration in urine was markedly higher in H.pylori infected volunteers than in H.pylori non-infected ones.CONCLUSION:The appearance of urinary fibrinogen degradation products is caused by an active H.pyloriinduced process.
AIM: To investigate the relationship between urinary peptide changes and Helicobacter pylori (H. pylori) infection using urinary peptidome profiling. METHODS: The study was performed in volunteers (n = 137) who gave informed consent. Urinary peptides were enriched by magnetic beads based weak cation exchange chromatography and spectrums acquired by matrix-assisted laser desorption / ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) .ClinProTools bioinformatics software was used for statistical analysis and the recognition of peptide patterns. The marker peptides were identified by LTQ Obitrap XL tandem MS.RESULTS: Approximately 50 proteins or peptides which loaded onto the magnetic beads were detected by MALDI-TOF MS. By optimizing the parameters of the model, the Genetic Algorithm model had good recognition capability (97%) and positive predictive value (94%). Based on the model, 2 markers with molecular masses of 6788 and 1912 Da were found that differentiated between H. pylori positive and ne gative volunteers. The m / z 1912 sequence was parsed as SKQFTSSTSYNRGDSTF.The peptide was identified as isoform 1 of the fibrinogen α chain precursor, whose concentration in urine was markedly higher in H.pylori infected volunteers than in H.pylori non -responds ones .CONCLUSION: The appearance of urinary fibrinogen degradation products is caused by an active H. pylori induction process.