A closed-loop nanoplatform for precision intervention in coronary atherosclerosis: Integrating multimodal omics with intelligent 3D printing

Coronary atherosclerosis (CA) remains a leading cause of global mortality. Its progression is driven by complex immunometabolic dysregulation and marked spatial heterogeneity within atherosclerotic plaques, which together hinder the development of precise therapeutic interventions. This review proposes a nano-enabled closed-loop engineering framework for spatially precise intervention in CA. First, we systematically describe how multimodal omics technologies, including single-cell transcriptomics and spatial transcriptomics, can be leveraged to dissect plaque microenvironmental features and enable the precise identification of spatially specific therapeutic targets, such as NLRP3 and TREM2. Building on this foundation, we focus on engineering design strategies for omics-guided nanomaterial-based intervention platforms, and comprehensively discuss stimulus-responsive nanodelivery systems (e.g., reactive oxygen species- and pH-sensitive carriers) combined with ligand modifications (e.g., ICAM-1/VCAM-1 targeting) to achieve site-specific delivery of drugs and nucleic acids to high-risk plaque regions. Furthermore, we highlight the synergistic role of three-dimensional (3D) printed biomimetic scaffolds within this framework, which provide mechanical support while enabling localized and sustained therapeutic release, thereby synergizing with nanocarriers to enhance treatment efficacy. Importantly, this review explores how artificial intelligence and digital twin technologies can integrate multi-omics data with patient-specific imaging information to guide the design of intervention platforms and the development of therapeutic strategies through predictive simulation and personalized optimization. By integrating nanotechnology, advanced manufacturing, and intelligent systems, this review delineates an engineering-driven pathway toward closed-loop, spatially adaptive, and precision intervention for CA.

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Publication Details

Journal
Nano Research
Published
2026-01-20
DOI
https://doi.org/10.26599/nr.2026.94908440
Primary Topic
Single-cell and spatial transcriptomics
Type
article
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article

A closed-loop nanoplatform for precision intervention in coronary atherosclerosis: Integrating multimodal omics with intelligent 3D printing

Yi Luo, Rong Guo, Min Gao
Nano Research
Single-cell and spatial transcriptomics
article

A closed-loop nanoplatform for precision intervention in coronary atherosclerosis: Integrating multimodal omics with intelligent 3D printing

Yi Luo, Rong Guo, Min Gao
article en

Abstract

Coronary atherosclerosis (CA) remains a leading cause of global mortality. Its progression is driven by complex immunometabolic dysregulation and marked spatial heterogeneity within atherosclerotic plaques, which together hinder the development of precise therapeutic interventions. This review proposes a nano-enabled closed-loop engineering framework for spatially precise intervention in CA. First, we systematically describe how multimodal omics technologies, including single-cell transcriptomics and spatial transcriptomics, can be leveraged to dissect plaque microenvironmental features and enable the precise identification of spatially specific therapeutic targets, such as NLRP3 and TREM2. Building on this foundation, we focus on engineering design strategies for omics-guided nanomaterial-based intervention platforms, and comprehensively discuss stimulus-responsive nanodelivery systems (e.g., reactive oxygen species- and pH-sensitive carriers) combined with ligand modifications (e.g., ICAM-1/VCAM-1 targeting) to achieve site-specific delivery of drugs and nucleic acids to high-risk plaque regions. Furthermore, we highlight the synergistic role of three-dimensional (3D) printed biomimetic scaffolds within this framework, which provide mechanical support while enabling localized and sustained therapeutic release, thereby synergizing with nanocarriers to enhance treatment efficacy. Importantly, this review explores how artificial intelligence and digital twin technologies can integrate multi-omics data with patient-specific imaging information to guide the design of intervention platforms and the development of therapeutic strategies through predictive simulation and personalized optimization. By integrating nanotechnology, advanced manufacturing, and intelligent systems, this review delineates an engineering-driven pathway toward closed-loop, spatially adaptive, and precision intervention for CA.

Nano ResearchVol. 19(5)
Openalex Percentile: Top 83%
Single-cell and spatial transcriptomics
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