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Author

Wenhu Zhou

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Review Open access Aug 2026

Antibacterial Immunotherapy: Mechanistic Insights, Emerging Therapeutic Strategies, and Clinical Translation

Abstract Antimicrobial resistance (AMR) continues to compromise the effectiveness of conventional antibacterial therapy, driving the development of therapeutic strategies that extend beyond direct antibiotic-mediated bacterial killing. Multidrug-resistant (MDR) pathogens evade treatment through diverse mechanisms, including enzymatic drug inactivation, target modification, efflux pump overexpression, biofilm formation, and persisters development. AMR results in chronic and recurrent infections, prolonged hospitalization, increased healthcare costs, and elevated morbidity and mortality, underscoring the need for innovative therapeutic approaches that target both the pathogen and the host. To bridge the dynamic interplay between bacterial pathogens and the host immune system with emerging therapeutic innovations, this narrative review first examines the biological mechanisms underlying bacterial resistance. It then explores therapeutic strategies beyond conventional antibiotics, providing an overview of current approaches and their limitations, including drug repurposing, bacteriophage therapy, and CRISPR-Cas technology. The review subsequently focuses on antibacterial immunotherapy, discussing a broad range of emerging approaches, including probiotics, monoclonal antibodies, cell-based therapies, host-directed therapies, aptamers, nanotechnology-based platforms, cytokine-based therapies, and antimicrobial peptides. An integrated overview of preclinical evidence, clinical studies, and FDA-approved therapies is presented to assess the translational potential of immunotherapy strategies in combating AMR. Scientific, regulatory, manufacturing, and implementation challenges that influence their successful translation into clinical practice are discussed throughout. By integrating the biological basis of host-pathogen interactions with emerging antibacterial therapeutics and their translational development, this review provides a comprehensive framework for evaluating innovative strategies against antimicrobial resistance. In contrast to modality-focused reviews, it offers a unified perspective that highlights the complementary roles of pathogen-targeted and host-directed interventions and identifies future opportunities to improve the prevention and management of multidrug-resistant bacterial infections.

Hamdi Al-Azzani, Hanane Aliouat, Hongshi Cheng et al. · 0 citations
Review Aug 2026

Precise Disease Analysis and Diagnosis Driven by DNA Circuits: From Single Target to Multiple Targets, From Simple to Intelligent.

Medical decision-making and treatment efficacy depend fundamentally on accurate and early diagnosis. However, conventional diagnostic paradigms often face hurdles related to high invasiveness and a lack of molecular-level accuracy. To overcome these limitations, DNA circuits have flourished as a transformative technology, leveraging programmable dynamic DNA reaction networks to propel the field toward a new frontier of real-time intelligence and high-precision disease theranostics. In this review, we summarized the evolution of DNA circuits in disease diagnosis, with a focus on how they are becoming increasingly accurate, efficient, and intelligent. First, focusing on the input layer of DNA circuits, the evolution of detection targets from single target to multiple targets and multi-dimensional biomarkers was reviewed. Second, focusing on the core architecture of DNA circuits, we analyzed the architectural transition from simple logic gates to scalable and modular circuits that integrate algorithmic logic for intelligent diagnosis, signal amplification for low-abundance targets, and optimize circuit stability. Additionally, we surveyed recent developments in DNA circuits in disease diagnosis, analysis, and treatment. Finally, we discussed the remaining limitations and offer perspectives on the future of intelligent DNA circuits.

Su-Jing Li, Sisi Wang, Yan-Bin Li et al. · 0 citations