This article explores a study that uses nanocarrier imaging, a groundbreaking technology, to uncover the underlying causes of myocarditis linked to COVID-19 mRNA vaccines.
Introduction
Advances in medicine have brought us incredible breakthroughs, including nanocarriers—tiny particles designed to deliver drugs precisely to specific parts of the body.
However, a significant challenge with these nanocarriers is ensuring they reach the intended target while avoiding unintended areas, known as “off-target effects,” which can lead to serious side effects.
A groundbreaking study published in Nature on January 14, 2025, introduces a revolutionary technology called Single Cell Precision Nanocarrier Identification (SCP-Nano) that can analyze these effects with unparalleled detail.
What is SCP-Nano?
The study introduces a powerful new tool called Single Cell Precision Nanocarrier Identification (SCP-Nano).
SCP-Nano is a powerful new tool that combines experimental techniques with deep learning to track nanocarriers at a single-cell level throughout an entire organism.
This method surpasses current imaging techniques like PET, CT, or MRI, which struggle to detect low doses of nanocarriers or provide detailed information about off-target effects.
Using SCP-Nano, researchers can identify precisely where nanocarriers, like lipid nanoparticles (LNPs) used in mRNA vaccines, go in the body—even at doses 100–1,000 times lower than those detectable by conventional imaging.
What Did the Study Find?
The study focused on LNPs carrying the SARS-CoV-2 spike mRNA, similar to those used in COVID-19 vaccines (Pfizer, Moderna). Researchers discovered:
Off-Target Accumulation in the Heart
LNPs injected into muscle tissue were found to accumulate in heart tissue, even at extremely low doses.
The image below shows the deposition of the SARS-CoV-2 spike mRNA in the mice hearts. Healthcare workers were told there is no need to aspirate the syringe before the jab, which can lead to an intravenous delivery instead of an intramuscular one.
Proteome Changes in the Heart
The study observed changes in heart tissue proteins linked to immune activation and blood vessel damage. These findings align with reports of myocarditis (inflammation of the heart muscle) and pericarditis (inflammation of the sac covering the heart) in some individuals who received mRNA vaccines.
The immune system perceives heart muscle (myocardium) protein changes as foreign, triggering an immune response and leading to inflammation (myocarditis).
The Role of Protein Coronas
When nanocarriers enter the body, they attract proteins that form a “corona” around them. This corona can alter where the nanocarriers go, complicating their design and increasing the risk of off-target effects.
Why is This Important?
Detecting Hidden Side Effects
SCP-Nano’s ability to pinpoint where nanocarriers accumulate provides crucial insights into potential side effects that might not be apparent using traditional methods. For instance, detecting even small amounts of nanocarriers in unintended tissues like the heart can explain rare but serious side effects.
Improving Safety of Vaccines and Therapies
The findings underscore the crucial need to thoroughly investigate how nanocarriers distribute within the body before public release.
This is particularly vital in the development of vaccines and therapies, where even minor off-target effects can lead to serious outcomes, including disability and death.
Conclusion
SCP-Nano represents a significant step in ensuring nanocarrier-based therapies’ safety and efficacy.
By providing unmatched precision in detecting off-target effects, this technology has the potential to revolutionize how vaccines and drugs are developed, ultimately leading to safer and more effective treatments for everyone.
This study provides valuable insights into why numerous cases of myocarditis occurred following the administration of the COVID-19 mRNA jabs by Pfizer and Moderna.
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Reference:
Luo, J., Molbay, M., Chen, Y. et al. Nanocarrier imaging at single-cell resolution across entire mouse bodies with deep learning. Nat Biotechnol (2025). https://doi.org/10.1038/s41587-024-02528-1
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