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Engineered Biosynthetic Gas Vesicles for Dual-Modality Ultrasound/NIR-II Imaging.

Qian Zhang^1,2,3,4, Bingtao Ren^1,2,3,4, Yijun Lu^2,3,4

¹Key Laboratory of Biodiversity and Environment on the Qinghai-Tibetan Plateau, Ministry of Education, School of Ecology and Environment, Xizang University, Lhasa 850000, China.

Analytical Chemistry

|March 9, 2026

Summary

This summary is machine-generated.

Researchers developed a dual-modal nanoprobe by engineering gas vesicles (GVs) with RGD targeting and a near-infrared II (NIR-II) fluorophore. This targeted approach enhances solid tumor imaging using both ultrasound and NIR-II fluorescence.

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A Bright NIR-II Fluorescence Probe for Vascular and Tumor Imaging

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Published on: March 17, 2023

Area of Science:

Biomedical Engineering
Nanotechnology
Medical Imaging

Background:

Gas vesicles (GVs) are genetically encoded ultrasound contrast agents.
Current GVs lack tumor-targeting specificity and multimodal imaging capabilities, limiting their clinical utility.

Purpose of the Study:

To engineer RGD-displaying GVs integrated with a near-infrared II (NIR-II) fluorophore (CH1055) for dual-modal ultrasound/NIR-II imaging.
To evaluate the targeted tumor accumulation and imaging performance of the novel CH1055@GVs-RGD nanoprobe.

Main Methods:

Genetic and chemical modifications were employed to functionalize GVs with RGD peptides and CH1055 fluorophore.
In vitro studies assessed cellular uptake in U87 MG cells and 3D tumor spheroids.
In vivo studies evaluated ultrasound and NIR-II fluorescence signals after intratumoral and intravenous administration in tumor-bearing models.

Main Results:

The engineered CH1055@GVs-RGD maintained the acoustic properties of native GVs.
Efficient cellular and spheroid uptake was observed in vitro.
In vivo, the nanoprobe demonstrated sustained ultrasound and NIR-II signals, with significantly enhanced tumor accumulation via RGD-mediated targeting compared to controls.

Conclusions:

The genetically and chemically programmed CH1055@GVs-RGD nanoprobe is a novel class of targeted dual-modal contrast agent.
This dual-modal approach offers efficient and specific imaging of solid tumors.
The RGD-targeting strategy significantly improves tumor accumulation for enhanced diagnostic potential.