High-throughput Autoantibody Analysis in Malignant Pleural Effusion and Tuberculosis Pleural Effusion
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Background: Malignant pleural effusion (MPE) and tuberculosis pleural effusion (TPE) are 2 kinds of common pleural diseases. Finding efficient and accurate biomarkers to distinguish the 2 is of benefit to basic and clinical research. In the present study, we carried out the first high-throughput autoantibody chip to screen the beneficial biomarker with samples of MPE and TPE and the corresponding serum.
Methods: We collected pleural effusion and serum of patients with MPE (n = 10) and TPE (n = 10) who had been in Beijing Chao-Yang hospital from June 2013 to August 2014. Using RayBio Human Protein Array-G2 to measure the concentration of 487 defined autoantibodies.
Results: Fold changes of Bcl-2-like protein 11 (BIM) autoantibody in MPE-serum/TPE-serum and MPE/TPE groups were 10 (P = .019) and 6 (P = .001); for decorin autoantibody, MPE-serum/TPE-serum ratio was 0.6 (P = .029), and MPE/TPE ratio was 0.3 (P < .001).
Conclusion: BIM autoantibody is a promising MPE biomarker by high-throughput autoantibody analysis in MPE and TPE.
Jian J, Fan D, Tian D, Cheng Y, Sun P, Tan C Neurosci Bull. 2022; 38(9):1025-1040.
PMID: 35570231 PMC: 9468199. DOI: 10.1007/s12264-022-00869-y.