Potential biomarkers for inherited thrombocytopenia 2 identified by plasma proteomics.

Abstract

Inherited thrombocytopenia 2 (THC2) is difficult to diagnose due to the lack of specific clinical characteristics and diagnostic methods. To identify potential plasma protein biomarkers for THC2, we collected the plasma samples from a THC2 family (9 THC2 and 15 non-THC2 members), enriched the medium and low abundant proteins using Proteominer and analyzed the protein profiles using the liquid chromatography-mass spectrometry in data independent acquisition mode. Initially, we detected 784 proteins in the plasma samples of this family and identified 27 up-regulated and 36 down-regulated in the THC2 group compared to the non-THC2 group (|log2 ratio| >1 and p-value <0.05). To improve the predictive power, top eight dysregulated proteins (B7Z2B4, LTF, HP, ERN1, IGHV1-8, A0A0X9V9C4, VH6DJ, and D3JV41) were selected by an area under the curve-based random forest process to construct a clinical model. Multivariate analysis with random forest and support vector machine showed that the prediction model provided high discrimination ability for THC2 diagnosis (AUC: 1.000 and 0.967, respectively). The potential plasma protein biomarkers will be tested in more THC2 patients and other thrombocytopenia patients to further validate their specificity and sensitivity.

• Authors: Xiaojie Wang, Maoshan Chen, Limeng Dai, Chengning Tan, Lanyue Hu, Yichi Zhang, Yanni Xiao, Fengjie Li, Cheng Zeng, Zheng Xiang, Yali Wang, Weiwei Zhang, Xiaomei Zhang, Qian Ran, Zhongjun Li, Li Chen
• Journal: Platelets (Platelets) Vol. 33 Issue 3 Pg. 443-450 (Apr 03 2022) ISSN: 1369-1635 [Electronic] England
• PMID: 34101524 (Publication Type: Journal Article)

Chemical References

• Biomarkers
• Blood Proteins

Topics

• Biomarkers (blood)
• Blood Proteins (metabolism)
• Female
• Humans
• Male
• Proteomics (methods)
• Thrombocytopenia (diagnosis, pathology)