Programmable engineered bacteria as sustained-releasing antibody factory in situ for enhancing tumor immune checkpoint therapy

Xiao-Ting Xie(Wuhan National Laboratory for Optoelectronics), Meng Guan(Wuhan National Laboratory for Optoelectronics), Kai Cheng(Wuhan National Laboratory for Optoelectronics), Yong Li(Wuhan National Laboratory for Optoelectronics), Bin Zhang(Wuhan National Laboratory for Optoelectronics), Yitong Zhou(Wuhan National Laboratory for Optoelectronics), Lin‐Fang Tan(Wuhan National Laboratory for Optoelectronics), Peng-Shuo Dong(Wuhan National Laboratory for Optoelectronics), Si Chen(Wuhan Institute of Technology), Bo Liu(Wuhan National Laboratory for Optoelectronics), Yuan‐Di Zhao(Centre for Innovation in Regulatory Science), Jin‐Xuan Fan(Wuhan National Laboratory for Optoelectronics)
Science Advances
March 26, 2025
Cited by 32Open Access
Full Text

Abstract

Tumor immune checkpoint therapy (ICT) aims to block immune escape signals between tumor and immune cells. However, low delivery efficiency of immune checkpoint inhibitors (ICIs), narrow single-target approach, and reduced responsiveness notably hinder clinical development of ICT. Here, we developed a nanoliposome-bacteria hybrid system that acts as an antibody (Ab) factory, enabling precise tumor targeting and macrophage activation in hypoxic environments. We reprogrammed attenuated Escherichia coli MG1655 to synthesize CD47 antibodies (aCD47) in response to hypoxic tumor microenvironments while surface conjugating with redox-responsive macrophage colony-stimulating factor-loaded liposomes. This system leverages bacterial tropism to enhance macrophage infiltration and polarization. The low oxygen levels trigger in situ aCD47 expression, blocking the “do not eat me” signal and boosting macrophage antitumor activity. In addition, macrophage antigen presentation activates CD8+CD3+ T cells, amplifying systemic antitumor immunity. Analysis of the gut microbiome shows reduced pathogenicity and improved intestinal tolerance with increased probiotics.


Related Papers

No related papers found

Powered by citation graph analysis