ReviewImmunity, inflammation and disease2023
Liposomal delivery system/adjuvant for tuberculosis vaccine.
Review in Immunity, inflammation and disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Immunological Activity of Vaccine Systems Containing Liposomal Nanocarriers against Protozoan-induced Diseases: A Systematic Review.Current medicinal chemistry · 2025Pooled it
- Immunoinformatic Design and Evaluation of a Multi-Epitope mRNA Vaccine RP14914P Targeting Latent Tuberculosis Infection.Pathogens (Basel, Switzerland) · 2026Article
- Biomimetic liposomes in drug delivery: from design mechanisms to applications.Chemical Society reviews · 2026Review
- Antibacterial Immunotherapy: Mechanistic Insights, Emerging Therapeutic Strategies, and Clinical Translation.Infection and drug resistance · 2026Review
- RpoB mutation patterns in Rifampicin-resistant tuberculosis: a Jiangxi Province study, 2021-2023.Scientific reports · 2025Article
- Liposome-Encapsulated Antibiotics for the Therapy of Mycobacterial Infections.Antibiotics (Basel, Switzerland) · 2025Review
- Tuberculosis vaccines and therapeutic drug: challenges and future directions.Molecular biomedicine · 2025Review
- Enhancing TB Vaccine Efficacy: Current Progress on Vaccines, Adjuvants and Immunization Strategies.Vaccines · 2023Review
- Liposomal delivery system/adjuvant for tuberculosis vaccine.Immunity, inflammation and disease · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As reported by the World Health Organization, about 10 million individuals were infected with tuberculosis (TB) worldwide. Moreover, approximately 1.5 million people died of TB, of which 214,000 were infected with HIV simultaneously. Due to the high infection rate, the need for effective TB vaccination is highly felt. Until now, various methodologies have been proposed for the development of a protein subunit vaccine for TB. These vaccines have shown higher protection than other vaccines, particularly the Bacillus culture vaccine. The delivery system and safety regulator are common characteristics of effective adjuvants in TB vaccines and the clinical trial stage. The present study investigates the current state of TB adjuvant research focusing on the liposomal adjuvant system. Based on our findings, the liposomal system is a safe and efficient adjuvant from nanosize to microsize for vaccinations against TB, other intracellular infections, and malignancies. Clinical studies can provide valuable feedback for developing novel TB adjuvants, which ultimately enhance the impact of adjuvants on next-generation TB vaccines.
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.