Diagnostic serum proteomic analysis in patients with active tuberculosis

Area of Science:

• Biochemistry
• Medical Diagnostics
• Proteomics

Background:

• Smear-negative pulmonary tuberculosis (TB) diagnosis presents significant clinical challenges.
• Proteomic fingerprinting of serum shows promise as a diagnostic method for TB.

Purpose of the Study:

• To develop and validate a proteomic-based diagnostic system for active TB using serum samples.
• To identify potential protein biomarkers for TB detection.

Main Methods:

• Surface-enhanced laser desorption ionization time-of-flight mass spectrometry (SELDI-TOF-MS) and protein-chip technology were employed.
• A diagnostic decision model was created based on distinct proteomic profiles.
• High-performance liquid chromatography (HPLC)-tandem matrix-assisted laser desorption/ionization-TOF-MS (MALDI-TOF-MS) was used for protein identification.

Main Results:

• Significant differences in approximately 50 protein peaks were observed between TB patients and controls (P<0.01).
• A classification model using three protein peaks (m/z 5643, 4486, 4360) achieved 96.9% sensitivity and 97.8% specificity.
• The diagnostic accuracy reached 97.3%, with orosomucoid identified as a key discriminatory protein at m/z 5643.

Conclusions:

• A novel diagnostic system for active TB was successfully developed utilizing mass spectrometry and protein chip technology.
• This system requires only small serum volumes, enhancing its clinical applicability.
• Orosomucoid was identified as a potential protein biomarker for active TB detection.