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The development of a novel zeolite-based assay for efficient and deep plasma proteomic profiling

Authors :
Nan Li
Jingnan Huang
Shangwen He
Qiaocong Zheng
Feng Ye
Zhengxing Qin
Dong Wang
Ting Xiao
Mengyuan Mao
Zhenhua Zhou
Tingxi Tang
Longshan Zhang
Xiaoqing Wang
Yingqiao Wang
Ying Lyu
Laiyu Liu
Lingyun Dai
Jigang Wang
Jian Guan
Source :
Journal of Nanobiotechnology, Vol 22, Iss 1, Pp 1-23 (2024)
Publication Year :
2024
Publisher :
BMC, 2024.

Abstract

Abstract Plasma proteins are considered the most informative source of biomarkers for disease diagnosis and monitoring. Mass spectrometry (MS)-based proteomics has been applied to identify biomarkers in plasma, but the complexity of the plasma proteome and the extremely large dynamic range of protein abundances in plasma make the clinical application of plasma proteomics highly challenging. We designed and synthesized zeolite-based nanoparticles to deplete high-abundance plasma proteins. The resulting novel plasma proteomic assay can measure approximately 3000 plasma proteins in a 45 min chromatographic gradient. Compared to those in neat and depleted plasma, the plasma proteins identified by our assay exhibited distinct biological profiles, as validated in several public datasets. A pilot investigation of the proteomic profile of a hepatocellular carcinoma (HCC) cohort identified 15 promising protein features, highlighting the diagnostic value of the plasma proteome in distinguishing individuals with and without HCC. Furthermore, this assay can be easily integrated with all current downstream protein profiling methods and potentially extended to other biofluids. In conclusion, we established a robust and efficient plasma proteomic assay with unprecedented identification depth, paving the way for the translation of plasma proteomics into clinical applications. Graphical Abstract

Details

Language :
English
ISSN :
14773155
Volume :
22
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Journal of Nanobiotechnology
Publication Type :
Academic Journal
Accession number :
edsdoj.22666f4f031b42e5a3fc814ca013083f
Document Type :
article
Full Text :
https://doi.org/10.1186/s12951-024-02404-9