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

Author:

Li Nan,Huang Jingnan,He Shangwen,Zheng Qiaocong,Ye Feng,Qin Zhengxing,Wang Dong,Xiao Ting,Mao Mengyuan,Zhou Zhenhua,Tang Tingxi,Zhang Longshan,Wang Xiaoqing,Wang Yingqiao,Lyu Ying,Liu Laiyu,Dai Lingyun,Wang Jigang,Guan Jian

Abstract

AbstractPlasma 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

Funder

General Program Foundation of Guangdong Provincial Administration of Traditional Chinese Medicine

National Natural Science Foundation of China

Clinical Research project of Nanfang Hospital, Southern Medical University

President Foundation of Nanfang Hospital,Southern Medical University

Natural Science Foundation of Guangdong Province

Excellent Scientific and Technological Innovation TrainingProgram of Shenzhen

Clinical Research Startup Program of Southern Medical University by High-level University Construction Funding of Guangdong Provincial Department of Education

Publisher

Springer Science and Business Media LLC

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