Serum Creatinine as a Potential Biomarker for the Diagnosis of Tuberculous Pleural Effusion

e22194 Background: Because pleural effusion contains proteins of potential diagnostic value, a comprehensive proteomic analysis of the pleural effusion is worthy to discover a new biomarker. Malignant pleural effusion and tuberculous pleural effusion are sometimes diagnositc challenge due to their similarity like lymphocyte-dominant effusion. Herein, we tried to identify differentially expressed proteins in both effusion using proteomic anlaysis. Methods: Twenty microliters of pleural effusions(PEs) from 3 patients with non-small cell lung cancer(NSCLC) and 3 patients with tuberculous pleurisy(TBC) were used for proteome analysis. After depletion of high abundant proteins including albumin, IgG with MARS Hu-6(Agilent), proteins were separated by SDS-PAGE and subject to in-gel tryptic digestion. The resulting peptides were analyzed by liquid chromatography/tandem mass spectrometry (LC/MS/MS). The MS/MS spectra were analyzed by Spectrum Mill against normal and reversed human protein databases. Results: In the total of 6 samples, 90 proteins were identified with more than 2 peptides and less than 1% of false positive rate. Among the identified pleural proteins, 57 proteins were detected both in PEs of NSCLS and TBC, 19 and 14 proteins were identified only in the PE of NSCLC and TBC, respectively. We analysed molecular functions, molecular composition and molecular processes of identified proteins with FindGo software. Among the identified proteins, we found the biomarker candidates that significantly have different expression levels in malignant effusion; apolipoprotein B precursor, vitronectin, complement factor B, histidine-rich glycoprotein precursor, coagulation factor II precursor variant. Conclusions: We found that several pleural effusion proteins may serve as potential biomarker candidates for differential diagnosis between maligant and tuberculous pleural effusion. We'll confirm these proteins through the proteomic method(MRM) and immunological method(Western bolt). No significant financial relationships to disclose.

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Diagnostic Value of Soluble Form of Mer Tyrosine Kinase (sMerTK) in Tuberculous Pleural Effusion and Malignant Pleural Effusion

BioMed Research International ◽

10.1155/2020/1496935 ◽

2020 ◽

Vol 2020 ◽

pp. 1-7

Author(s):

Han Liu ◽

Shuai Wang ◽

Zhenzhen Zhang ◽

Jing Jie ◽

Lei Song ◽

...

Keyword(s):

Pleural Effusion ◽

Tyrosine Kinase ◽

Malignant Pleural Effusion ◽

Expression Level ◽

Inflammatory Factors ◽

Soluble Form ◽

Tuberculous Pleural Effusion ◽

Potential Biomarker ◽

Tnf Α ◽

Mer Tyrosine Kinase

Objectives. With the development of proteomics, it has been indicated that differentially expressed proteins are biological markers for the diagnosis of different types of pleural effusion (PE). The aim of our study was to explore the value of sMerTK (soluble form of Mer tyrosine kinase) in the differential diagnosis of tuberculous pleural effusion (TPE) and malignant pleural effusion (MPE). In addition, we also wanted to explore whether MerTK was associated with IL-1β and TNF-α, which are inflammatory factors related to pleural effusion. Methods. We screened all patients who underwent thoracoscopy and had a definite diagnosis. In total, 136 patients were enrolled in this study and classified into two groups, with 64 patients in the TPE group and 72 patients in the MPE group. The concentrations of sMerTK in the TPE and MPE groups were detected by ELISA. The diagnostic accuracy was determined by generating receiver operating characteristic (ROC) curves and calculating the area under the curve (AUC). Correlations between the expression level of sMerTK and those of the inflammatory factors interleukin 1 beta (IL-1β) and tumor necrosis factor alpha (TNF-α) were also studied using Pearson’s linear correlation analysis. Results. The concentrations of sMerTK were 5,278.77 ± 2,479.98 ng / L and 859.91 ± 540.45 ng / L in the TPE and MPE groups, respectively. The concentration of sMerTK in TPE was shown to be significantly higher than that in MPE ( P < 0.05 ). The area under the ROC curve for sMerTK in distinguishing TPE from MPE was 0.958, with a cutoff value of 2,122 ng/L. The sensitivity and specificity for sMerTK were 98.61% and 90.63% ( P < 0.05 ). The expression levels of sMerTK in these two groups were not correlated with those of the inflammatory factors IL-1β and TNF-α ( P > 0.05 ). Conclusions. The expression level of sMerTK in PE could be a potential biomarker for common use in the diagnosis of TPE and MPE.

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