Targeted proteomics profiling reveals valuable biomarkers in the diagnosis of primary immune thrombocytopaenia

The lack of biomarkers for accurate diagnosis and prognosis is a major clinical challenge of primary immune thrombocytopaenia (ITP). Using an Olink proteomics platform with a 92 immune response-related human protein panel, we analysed plasma samples from ITP patients (ITP, n = 40), patients with thrombocytopaenia secondary to other causes (Non-ITP, n = 19) and healthy controls (NC, n = 18), of a discovery cohort as well as a validation cohort (ITP, n = 36; NC, n = 20). A total of 10 differentially expressed proteins (DEPs) were identified in the ITP group compared with the non-ITP and NC groups of the discovery cohort. These include CXCL11, GZMH, ARG1, TGF-β1, ANGPT1, CXCL12, CD40-L, PDGF subunit B, IL4 and TNFSF14. Furthermore, least absolute shrinkage and selection operator regression analysis showed some of these DEPs, such as CXCL11, TGF-β1, ARG1 and GZMH to be significant in differentiating between patients with ITP and healthy controls (validation area under the curve = 0.87). The analysis demonstrated that the ITP group has a specific proteomic profile relative to non-ITP and NC groups. In summary, we report for the first time that Olink precision proteomics can specifically detect up-regulated inflammatory proteins as potential diagnostic biomarkers for ITP.

Authors

Institutions

Publication Details

Journal
British Journal of Haematology
Published
2024-09-23
DOI
https://doi.org/10.1111/bjh.19760
Citations
5
Primary Topic
Platelet Disorders and Treatments
Type
article
Field-Weighted Citation Impact
2.27

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Targeted proteomics profiling reveals valuable biomarkers in the diagnosis of primary immune thrombocytopaenia

Zichan Zhang, Chen Huang, Lu Zhou, Jun Huang et al.
5 citations
British Journal of Haematology
Platelet Disorders and Treatments
2.27
article

Targeted proteomics profiling reveals valuable biomarkers in the diagnosis of primary immune thrombocytopaenia

Zichan Zhang, Chen Huang, Lu Zhou, Jun Huang, Yizhi Jiang, Jingjing Han, Lanxin Zhang, Nana Wang, Xia Bai, Xiaocen Liu, Dongping Huang, Ran Wang, Jizhe Li
article en
5 citations

Abstract

The lack of biomarkers for accurate diagnosis and prognosis is a major clinical challenge of primary immune thrombocytopaenia (ITP). Using an Olink proteomics platform with a 92 immune response-related human protein panel, we analysed plasma samples from ITP patients (ITP, n = 40), patients with thrombocytopaenia secondary to other causes (Non-ITP, n = 19) and healthy controls (NC, n = 18), of a discovery cohort as well as a validation cohort (ITP, n = 36; NC, n = 20). A total of 10 differentially expressed proteins (DEPs) were identified in the ITP group compared with the non-ITP and NC groups of the discovery cohort. These include CXCL11, GZMH, ARG1, TGF-β1, ANGPT1, CXCL12, CD40-L, PDGF subunit B, IL4 and TNFSF14. Furthermore, least absolute shrinkage and selection operator regression analysis showed some of these DEPs, such as CXCL11, TGF-β1, ARG1 and GZMH to be significant in differentiating between patients with ITP and healthy controls (validation area under the curve = 0.87). The analysis demonstrated that the ITP group has a specific proteomic profile relative to non-ITP and NC groups. In summary, we report for the first time that Olink precision proteomics can specifically detect up-regulated inflammatory proteins as potential diagnostic biomarkers for ITP.

British Journal of HaematologyVol. 206(1)
Nantong University (CN), Soochow University (CN), Affiliated Hospital of Nantong University (CN), First Affiliated Hospital of Soochow University (CN), First Affiliated Hospital of Wannan Medical College (CN)
National Natural Science Foundation of China, Anhui Provincial Key Research and Development Plan
Good health and well-being
Openalex Percentile: Top 11%
Platelet Disorders and Treatments
2.27
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.