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ACS nano · 2026

Surfactant-Modified Magnetic Nanoparticles Enable Efficient and Cost-Effective Plasma Proteomics for Enhanced Biomarker Discovery.

СтатьяНазвание и аннотация: Перевод в очереди
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Fang Wei, Zhao Hongxian, Zhang Yuxin, Bai Suwen, Luo Yumei, Han Ruijuan, Yang Zhenye, Cheng Bangning, Qian Chungen, Du Juan

Аннотация

The application of more blood proteins into health risk prediction and disease diagnostics has long garnered significant interest. However, comprehensive profiling of proteins in blood samples (plasma or serum), particularly low-abundance proteins, remains technically challenging due to the masking effect imposed by high-abundance proteins and the extraordinarily wide dynamic range of protein abundances. Herein, we developed an efficient strategy that leveraged the protein corona formed on surfactant-modified magnetic nanoparticles for the selective enrichment of low-abundance plasma proteins. Coupled with liquid-chromatography tandem mass spectrometry (LC-MS/MS) analysis, this strategy allowed for the detection of over 3500 plasma proteins in a single run, which was approximately three times and five times more than the number of proteins detected by the antibody-dependent depletion method and the direct digestion method, respectively. The application of our method to an acute myocardial infarction (AMI) cohort and corresponding healthy control group resulted in the identification of 5000 more plasma proteins and the discovery of seven potential AMI diagnostic biomarkers, which showed superior accuracy in diagnosis compared to conventionally used cardiac troponins. The magnetic nanoparticles (MNPs) and surfactants are commercially accessible and cost-effective, and moreover, the modification protocol is simple. These features ensure the ready adoption of our method by other laboratories, even those lacking specialized nanotechnology expertise. Additionally, the magnetic properties of MNPs can further facilitate the smooth integration with automated sample processing systems, thereby expediting large-scale clinical studies.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты