Prussian blue nanoparticles targeting multiple PANoptosome-mediated PANoptosis for myocardial ischemia-reperfusion injury therapy

Nat Commun. 2026 Feb 27;17(1):2329. doi: 10.1038/s41467-026-70012-2.

Abstract

The extensive crosstalk among pyroptosis, apoptosis, and necroptosis limits the efficacy of therapies targeting only one pathway. Here, we show that Prussian blue (PB) nanoparticles act as multi-target PANoptosis inhibitors by binding key PANoptosome components including RIPK1, ZBP1, and AIM2 through multimodal interactions, thereby concurrently suppressing pyroptosis, apoptosis, and necroptosis in myocardial ischemia-reperfusion injury (MIRI). Platelet membrane-coated PB nanoparticles (PB@PM) exhibit enhanced cardiac targeting and efficiently alleviate MIRI-induced cardiac dysfunction, adverse ventricular remodeling, and cardiomyocyte hypertrophy. Mechanistically, PB@PM disrupt PANoptosome assembly, scavenge reactive oxygen species, improve mitochondrial function, and restore immune-inflammatory homeostasis. By integrating single nucleus transcriptomics of human heart samples, molecular dynamics simulations, transcriptomics, medical imaging, and molecular validation, we systematically decipher the therapeutic mechanisms of PB-based PANoptosis inhibition. This study establishes an integrative multi-omics framework for exploring PANoptosis in cardiovascular diseases and provides a promising nanotherapeutic strategy for MIRI treatment.

MeSH terms

  • Animals
  • Apoptosis / drug effects
  • Ferrocyanides* / chemistry
  • Ferrocyanides* / pharmacology
  • Humans
  • Male
  • Mice
  • Mice, Inbred C57BL
  • Myocardial Reperfusion Injury* / drug therapy
  • Myocardial Reperfusion Injury* / metabolism
  • Myocardial Reperfusion Injury* / pathology
  • Myocytes, Cardiac / drug effects
  • Myocytes, Cardiac / metabolism
  • Nanoparticles* / chemistry
  • Necroptosis* / drug effects
  • Reactive Oxygen Species / metabolism

Substances

  • Ferrocyanides
  • ferric ferrocyanide
  • Reactive Oxygen Species

Associated data

  • GEO/GSE298751