ReviewDrug development research2026
Bacterial mRNA Vaccines: Programming Immunity Against Antimicrobial Resistance.
Review in Drug development research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Bacterial mRNA Vaccines: Programming Immunity Against Antimicrobial Resistance.Drug development research · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
The relentless rise of antimicrobial resistance poses a critical threat to global health, urgently demanding the development of antibacterial vaccines. Messenger RNA (mRNA) technology, validated during the COVID-19 pandemic, offers a powerful platform of fast development and flexibility. However, its application against bacterial pathogens remains an emerging frontier due to the structural complexity of bacterial antigens, challenges in achieving effective mucosal and cellular delivery, and the need to elicit balanced Th1/Th17-dominated immune responses for durable protection. Progress in antigen design, mRNA engineering, and lipid nanoparticle (LNP) delivery has enabled early preclinical success against Mycobacterium tuberculosis, Pseudomonas aeruginosa, and Streptococcus pneumoniae. Yet, challenges such as complex antigen expression, mucosal targeting, and immune durability persist. This review provides a brief overview of recent advances in bacterial mRNA vaccine design, including antigen selection, mRNA engineering, and delivery platform optimization. Additionally, we summarize current preclinical progress across key bacterial pathogens and highlight emerging strategies that integrate AI-guided antigen discovery, synthetic biology, and next-generation delivery systems to accelerate clinical translation. Finally, we highlight the prospects of bacterial mRNA vaccines by integrating synthetic biology, AI-driven antigen prediction, and advanced delivery systems. These cutting-edge technologies hold the promise of overcoming existing barriers, ultimately establishing mRNA vaccines as a viable and powerful strategy to curb the tide of antibiotic-resistant infections.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.