BACKGROUND: The diagnosis for smear-negative pulmonary tuberculosis (TB) is very difficult. Proteomic fingerprinting of sera is a potentially useful tool. METHODS: This study analyzed the results of the proteomic fingerprinting in sera obtained from active TB patients and controls using the surface-enhanced laser desorption ionization time of flight mass spectrometry (SELDI-TOF-MS) and protein-chip technology. The peaks were detected and analyzed, and a diagnostic system was developed. The protein peak was identified using high performance liquid chromatography (HPLC)-tandem matrix-assisted laser desorption/ionization-TOF-MS (MALDI-TOF-MS). RESULTS: Around 50 protein peaks were found significantly different between the TB patients and the controls (P<0.01). Three protein peaks at m/z 5643, 4486 and 4360 were selected for system classification and the development of a decision model. The model distinguished the TB patients from the controls with a sensitivity of 96.9% and a specificity of 97.8%, respectively. The diagnostic accuracy was up to 97.3%. The one most discrepant protein peak at m/z 5643 seen in sera of active TB patients was identified as orosomucoid. CONCLUSIONS: A diagnostic system for active TB was developed using mass spectrometry and protein chip technology and required only small-volume serum samples. One potential protein biomarker at m/z 5643 was identified as orosomucoid.
BACKGROUND: The diagnosis for smear-negative pulmonary tuberculosis (TB) is very difficult. Proteomic fingerprinting of sera is a potentially useful tool. METHODS: This study analyzed the results of the proteomic fingerprinting in sera obtained from active TB patients and controls using the surface-enhanced laser desorption ionization time of flight mass spectrometry (SELDI-TOF-MS) and protein-chip technology. The peaks were detected and analyzed, and a diagnostic system was developed. The protein peak was identified using high performance liquid chromatography (HPLC)-tandem matrix-assisted laser desorption/ionization-TOF-MS (MALDI-TOF-MS). RESULTS: Around 50 protein peaks were found significantly different between the TB patients and the controls (P<0.01). Three protein peaks at m/z 5643, 4486 and 4360 were selected for system classification and the development of a decision model. The model distinguished the TB patients from the controls with a sensitivity of 96.9% and a specificity of 97.8%, respectively. The diagnostic accuracy was up to 97.3%. The one most discrepant protein peak at m/z 5643 seen in sera of active TB patients was identified as orosomucoid. CONCLUSIONS: A diagnostic system for active TB was developed using mass spectrometry and protein chip technology and required only small-volume serum samples. One potential protein biomarker at m/z 5643 was identified as orosomucoid.
Authors: Franz Ratzinger; Harald Bruckschwaiger; Martin Wischenbart; Bernhard Parschalk; Delmiro Fernandez-Reyes; Heimo Lagler; Alexandra Indra; Wolfgang Graninger; Stefan Winkler; Sanjeev Krishna; Michael Ramharter Journal: PLoS One Date: 2012-11-21 Impact factor: 3.240
Authors: Jacqueline M Achkar; Laetitia Cortes; Pascal Croteau; Corey Yanofsky; Marija Mentinova; Isabelle Rajotte; Michael Schirm; Yiyong Zhou; Ana Paula Junqueira-Kipnis; Victoria O Kasprowicz; Michelle Larsen; René Allard; Joanna Hunter; Eustache Paramithiotis Journal: EBioMedicine Date: 2015-07-30 Impact factor: 8.143