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A highly efficient protein corona-based proteomic analysis strategy for the discovery of pharmacodynamic biomarkers

The composition of serum is extremely complex, which complicates the discovery of new pharmacodynamic biomarkers via serum proteome for disease prediction and diagnosis. Recently, nanoparticles have been reported to efficiently reduce the proportion of high-abundance proteins and enrich low-abundanc...

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Published in:Journal of pharmaceutical analysis 2022-12, Vol.12 (6), p.879-888
Main Authors: Meng, Yuqing, Chen, Jiayun, Liu, Yanqing, Zhu, Yongping, Wong, Yin-Kwan, Lyu, Haining, Shi, Qiaoli, Xia, Fei, Gu, Liwei, Zhang, Xinwei, Gao, Peng, Tang, Huan, Guo, Qiuyan, Qiu, Chong, Xu, Chengchao, He, Xiao, Zhang, Junzhe, Wang, Jigang
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Language:English
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Summary:The composition of serum is extremely complex, which complicates the discovery of new pharmacodynamic biomarkers via serum proteome for disease prediction and diagnosis. Recently, nanoparticles have been reported to efficiently reduce the proportion of high-abundance proteins and enrich low-abundance proteins in serum. Here, we synthesized a silica-coated iron oxide nanoparticle and developed a highly efficient and reproducible protein corona (PC)-based proteomic analysis strategy to improve the range of serum proteomic analysis. We identified 1,070 proteins with a median coefficient of variation of 12.56% using PC-based proteomic analysis, which was twice the number of proteins identified by direct digestion. There were also more biological processes enriched with these proteins. We applied this strategy to identify more pharmacodynamic biomarkers on collagen-induced arthritis (CIA) rat model treated with methotrexate (MTX). The bioinformatic results indicated that 485 differentially expressed proteins (DEPs) were found in CIA rats, of which 323 DEPs recovered to near normal levels after treatment with MTX. This strategy can not only help enhance our understanding of the mechanisms of disease and drug action through serum proteomics studies, but also provide more pharmacodynamic biomarkers for disease prediction, diagnosis, and treatment. [Display omitted] •A protein corona-based proteomic analysis strategy was developed for serum proteome.•This strategy repeatably identified 1070 serum proteins with broad dynamic range.•This strategy broadens the serum proteome for pharmacodynamic biomarker exploration.
ISSN:2095-1779
2214-0883
DOI:10.1016/j.jpha.2022.07.002