文献类型：期刊文献

英文题名：Self-assembled Gold@silver-ZIF structure-induced dual-enhancement luminescence synergized with interpretable machine learning empower precise monitoring of inflammatory homeostasis

作者：Xu, Gaoxiang[2];Wang, Mengke[4];Li, Qing[5];Fan, Lianghui[7];Shen, Runpu[6];Xiao, Zhikang[2];Xu, Jianzhong[2];Wang, Kun[3];Chen, Junyang[1]

机构：[1]Zhengzhou Univ, Sch Life Sci, Zhengzhou 450001, Peoples R China;[2]Zhengzhou Univ, Affiliated Hosp 1, Dept Orthoped, Zhengzhou 450052, Peoples R China;[3]Chinese Peoples Liberat Army Gen Hosp, Med Ctr 4, Dept Orthoped, Beijing 100853, Peoples R China;[4]Henan Acad Innovat Med Sci, Nanozyme Lab Zhongyuan, Zhengzhou 451163, Peoples R China;[5]Zhengzhou Univ, Affiliated Hosp 2, Applicat Ctr Precis Med, Zhengzhou 450052, Henan, Peoples R China;[6]Shaoxing Univ, Coll Chem & Chem Engn, Zhejiang Engn Res Ctr Fat soluble Vitamin, Shaoxing 312000, Zhejiang, Peoples R China;[7]Xian Univ Posts & Telecommun, Sch Comp, Xian 710121, Shanxi, Peoples R China

年份：2025

卷号：64

外文期刊名：NANO TODAY

收录：SCI-EXPANDED(收录号：WOS:001482310000001)、、EI(收录号：20251718294914)、Scopus(收录号：2-s2.0-105003271564)、WOS

基金：This work was supported by the Tackle Key Problems in Science and Technology Project of Henan Province (242102311139) , the Joint Co-construction Project of Medical Science and Technology Tackling Program in Henan Province (LHGJ20240248) , the National Key Research and Development Program of China (2024YFC2707100) , and the National Natural Science Foundation of China (22278270, 32401172, and 22404044) .

语种：英文

外文关键词：Self-Assembly; Interpretable machine learning; Inflammatory homeostasis; Gold nanocluster; Biosensor

外文摘要：The maintenance of an optimal inflammatory homeostasis within the body is crucial for its sustained viability within a natural environment replete with pathogenic factors. The real-time, precise detection of two antagonistic cytokines (pro- and anti-inflammatory) in an inflammatory state is fundamental to the guidance of precise clinical treatments and thus the achievement of inflammatory homeostasis. Herein, we synthesized AuAg-ZIF, which resulted in a dual enhancement of the fluorescence properties of AuNCs (35-fold increase in fluorescence intensity and 18.5-fold increase in quantum yield) by the anti-galvanic reaction between the surface Ag(I) and core Au (0), as well as by the confinement effect of ZIF-8. Furthermore, a generalized fluorescence immunoassay utilizing liposome-mediated Cu2 +-induced fluorescence quenching of AuAg-ZIF has been developed, resulting in amplification of the antigenic signal. Additionally, an interpretable machine learning prediction algorithm was constructed, comprising feature extraction, feature dimensionality reduction, model construction and validation, and model interpretation. This algorithm achieves immediate and accurate detection of factors related to anti-inflammatory, pro-inflammatory, and inflammatory levels in the human inflammatory homeostasis (R-2 > 0.95), which is in line with the accuracy of the current commercial assay kits. This integration of dual-enhanced fluorescent nanoscale materials, amplification strategies, and interpretable machine learning enables the real-time, accurate observation of inflammatory homeostasis, thereby facilitating the delivery of precision clinical treatments.