A core−shell molecularly imprinted polymer nanoparticle with biological enzyme functional characteristics was developed by oxidative polymerization of template protein and polydopamine on the surface of protease−copper phosphate hybrid nanoflowers by molecular imprinting technology and enzyme immobilization technology. The obtained molecularly imprinted polymer showed specific binding characteristics with the template protein. It recognized and enriched the target molecules through the surface molecularly imprinted sites of the shell structure. In addition, the bound target molecules were further degraded into fragments by nanozymes with biological enzyme characteristics in the core. In this study, molecular imprinting technology and biotechnology were combined to obtain bifunctional molecularly imprinted polymer nanoparticles that can not only enrich template molecules but also degrade them into fragments. Herein, we selected interleukin 6 (IL-6), the target molecule of cytokine release syndrome (CRS), as a template molecule, and reported a molecularly imprinted polymer with degrading enzyme properties that can rapidly reduce IL-6 levels in vivo, including a molecularly imprinted layer that can recognize and bind IL-6 and nanozymes that can degrade IL-6 and deactivate it. It is used to clear the excessive secretion of IL-6 in CRS and reduce the level of IL-6 in the body to achieve the purpose of adjuvant treatment of CRS.

Background: Acquired immune deficiency syndrome (AIDS), human immunodeficiency virus (HIV) infection, and antiretroviral therapy are usually associated with metabolic disorders. Screening for biomarkers to evaluate the progression of metabolic disorders is important for the diagnosis and treatment of HIV infection. This study aimed to establish and validate a method to quantify serum aromatic amino acid (AAA) metabolites as biomarkers of metabolic disorders in patients with HIV. Methods:The AAAs and metabolites were analyzed using high-performance liquid chromatography-tandem mass spectrometry. Pearson's correlation, heatmap, and receiver operating characteristic curve analyses were used for statistical analysis.Results: Under optimal detection conditions, the lower limits of phenylalanine (Phe), tryptophan (Trp), kynurenine (Kyn), tyrosine, phenylacetylglutamine (PAGln), and 5-hydroxytryptamine quantification reached 0.02, 0.02, 0.01, 0.02, 0.01, and 0.002 μg/ml, respectively, and the precision of intra-and inter-day was stay below 10.30%. Serum samples were stable for at least 6 months when stored at −80°C. The inter-group differences and associations between the biomarkers exhibited a particular volatility trend in PAGln, Trp, and Kyn metabolism in HIV-infected patients with metabolic syndrome. Conclusions:The developed method can be used for rapid and sensitive quantification of the AAA metabolism profile in vivo to further appraise the process of HIV infection, evaluate intervening measures, conduct mechanistic investigations, and further study the utility of PAGln, a characteristic metabolite of AAA, as a biomarker of HIV infection coupled with metabolic syndrome.