MEDICINE AND HEALTH

Dynamic imaging of blood oxygen saturation provides a new method for predicting tumor efficacy


Zhong Yenteng’s team, Chen Chunying’s team and Hu Zhiyuan’s team, a researcher at the National Center for Nanoscience, jointly developed an in situ dynamic imaging technology for blood oxygen saturation (sO2) under the intravital imaging window of the near-infrared two-b region (NIR-IIb). The application of this technique allows clear imaging of tumor vascular structures within deep tissues of mice and accurate quantification of their sO2 levels in real time. Recently, the research results were published in Nature Nanotechnology.

Illustration of in vivo dynamic imaging of blood oxygen saturation. National Center for Nanoscience

Tumor cells rely on oxygen and nutrients drawn from peripheral blood vessels to maintain their abnormal proliferation, invasion, and metastasis behavior. A large number of research works have shown that there is significant metabolic microenvironment heterogeneity between different tumors, and its intrinsic and extrinsic decisive factors have not yet been elucidated. This heterogeneity of the metabolic microenvironment also seriously affects the role of drugs specific to tumor metabolism. Hemoglobin in the blood vessels inside tumor tissue and around it is responsible for the transport of oxygen molecules; Therefore, the visual monitoring and quantitative measurement of blood oxygen saturation level in tumor-related blood vessels under in vivo in situ conditions can help to effectively assess the metabolic level and metabolic microenvironment of tumor tissue cells, thereby providing more accurate and comprehensive key information for oncology research and clinical diagnosis prediction.

To this end, the joint team developed an in situ dynamic imaging technique for blood oxygen saturation under the NIR-IIb in vivo imaging window. The application of this technique allows clear imaging of tumor vascular structures within deep tissues of mice and accurate quantification of their sO2 levels in real time. The sO2 index can not only be used to assess the metabolic level of tumor tissues, but also can be used to predict the responsiveness of tumor immunotherapy, providing a new method for predicting the efficacy of tumor immunotherapy.

In addition, dual-channel NIR-IIb in vivo dynamic imaging based on this technology can simultaneously acquire tumor vascular sO2 imaging and targeted immunoassay molecular imaging, which is expected to further improve the accuracy of tumor immunotherapy prediction. (Source: Zhang Shuanghu, China Science News)

Related paper information:https://doi.org/10.1038/s41565-023-01501-4



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