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Chinese scientists reprogram NK cells inside the body to fight tumors

The mouse study tested inhaled amorphous silica nanoparticles.

Chinese researchers activated an immune pathway linking alveolar macrophages and NK cells in mice, inducing memory-like NK cells inside the body. The approach showed an effect against melanoma growth.

Source: Chinese Academy of Sciences

Scientists in a laboratory examining a mouse and a nanomaterial sample
Researchers tested the antitumor immune effects of inhaled nanomaterials in mice. Illustrative photo. Photo: NIH Image Gallery from Bethesda, Maryland, USA / Wikimedia Commons, Public domain

Researchers at the Shenzhen Institutes of Advanced Technology of the Chinese Academy of Sciences have developed a way to induce and reprogram memory-like NK cells inside the body. The findings came from experiments in mice.

The team administered biodegradable amorphous silica nanoparticles by inhalation and observed a marked effect in suppressing melanoma growth. It identified a key immune response pathway in which alveolar macrophages produce the cytokines IL-12/15/18, which then act on NK cells.

The researchers also examined how the structure of different nanomaterials relates to their activity. Polystyrene and alumina nanoparticles did not activate the pathway, indicating that alveolar macrophages selectively recognize materials based on their chemical composition.

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The study describes how inhaled amorphous nanomaterials can regulate the body’s alveolar macrophage–NK cell axis and reprogram memory-like NK cells in place. It outlines the cellular pathway, cytokine activity, material properties and safety characteristics.

The researchers say the approach could inform cancer prevention for high-risk groups, postoperative adjuvant treatment and immune medicines that do not require cells to be manufactured outside the body. The findings were published in Molecular Therapy. The work was supported by China’s National Key Research and Development Program and the Natural Science Foundation of Guangdong Province.

Translated from Chinese using artificial intelligence. Source: Chinese Academy of Sciences

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