Quantifying PON1 on HDL with nanoparticle-gated electrokinetic membrane sensor for accurate cardiovascular risk assessment.
Quantifying PON1 on HDL with nanoparticle-gated electrokinetic membrane sensor for accurate cardiovascular risk assessment.
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DOI:
10.1038/s41467-023-36258-w
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发表时间:
2023-02-02
影响因子:
16.6
通讯作者:
Chang, Hsueh-Chia
中科院分区:
文献类型:
--
作者:
Kumar, Sonu;Maniya, Nalin;Wang, Ceming;Senapati, Satyajyoti;Chang, Hsueh-Chia
Cardiovascular disease-related deaths (one-third of global deaths) can be reduced with a simple screening test for better biomarkers than the current lipid and lipoprotein profiles. We propose using a highly atheroprotective subset of HDL with colocalized PON1 (PON1-HDL) for superior cardiovascular risk assessment. However, direct quantification of HDL proteomic subclasses are complicated by the peroxides/antioxidants associated with HDL interfering with redox reactions in enzymatic calorimetric and electrochemical immunoassays. Hence, we developed an enzyme-free Nanoparticle-Gated Electrokinetic Membrane Sensor (NGEMS) platform for quantification of PON1-HDL in plasma within 60 min, with a sub-picomolar limit of detection, 3–4 log dynamic range and without needing sample pretreatment or individual-sample calibration. Using NGEMS, we report our study on human plasma PON1-HDL as a cardiovascular risk marker with AUC~0.99 significantly outperforming others (AUC~0.6–0.8), including cholesterol/triglycerides tests. Validation for a larger cohort can establish PON1-HDL as a biomarker that can potentially reshape cardiovascular landscape. Measuring proteomic subfractions of HDL can help during cardiovascular risk assessment. Here, the authors show, using a Nanoparticle-Gated Electrokinetic Membrane Sensor, the efficacy of Paroxonase 1 on HDL in its ability to diagnose cardiovascular disease compared to other commonly used methods.
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DOI:
10.1016/j.bbacli.2015.01.005
发表时间:
2015-06
期刊:
BBA clinical
影响因子:
--
作者:
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通讯作者:
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影响因子:
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DOI:
10.1073/pnas.90.14.6631
发表时间:
1993-07-15
影响因子:
11.1
作者:
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通讯作者:
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影响因子:
2.8
作者:
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