SynthesisBMC bioinformatics2013
Meta-analysis of variables affecting mouse protection efficacy of whole organism Brucella vaccines and vaccine candidates.
Synthesis in BMC bioinformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses 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
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Efficacy ofTransboundary and emerging diseases · 2024Pooled it
- Meta-Analysis and Advancement of Brucellosis Vaccinology.PloS one · 2016Pooled it
- VO: The Vaccine Ontology.Scientific data · 2026Article
- Brucellosis vaccine development: immunological mechanisms, animal models, and future directions.Archives of microbiology · 2026Review
- Immunogenicity of a LipopolysaccharideVaccines · 2025Article
- VO: The Vaccine Ontology.bioRxiv : the preprint server for biology · 2025Article
- VIO: ontology classification and study of vaccine responses given various experimental and analytical conditions.BMC bioinformatics · 2019Article
- Limited available evidence supports theoretical predictions of reduced vaccine efficacy at higher exposure dose.Scientific reports · 2019Article
- Ontology-Based Meta-Analysis of Animal and Human Adverse Events Associated With Licensed Brucellosis Vaccines.Frontiers in pharmacology · 2018Article
- Multivalent Fusion DNA Vaccine againstBioMed research international · 2017Article
- The Ontology of Biological and Clinical Statistics (OBCS) for standardized and reproducible statistical analysis.Journal of biomedical semantics · 2016Article
- Vaxar: A Web-Based Database of Laboratory Animal Responses to Vaccinations and Its Application in the Meta-Analysis of Different Animal Responses to Tuberculosis Vaccinations.Comparative medicine · 2016Article
- Protection Provided by an Encapsulated Live Attenuated ΔabcBA Strain of Brucella ovis against Experimental Challenge in a Murine Model.Clinical and vaccine immunology : CVI · 2015Article
- Ontology-supported research on vaccine efficacy, safety and integrative biological networks.Expert review of vaccines · 2014Review
- Updates on the web-based VIOLIN vaccine database and analysis system.Nucleic acids research · 2014Article
- Ontology-based representation and analysis of conditional vaccine immune responses using Omics data.CEUR workshop proceedings.Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
backgroundVaccine protection investigation includes three processes: vaccination, pathogen challenge, and vaccine protection efficacy assessment. Many variables can affect the results of vaccine protection. Brucella, a genus of facultative intracellular bacteria, is the etiologic agent of brucellosis in humans and multiple animal species. Extensive research has been conducted in developing effective live attenuated Brucella vaccines. We hypothesized that some variables play a more important role than others in determining vaccine protective efficacy. Using Brucella vaccines and vaccine candidates as study models, this hypothesis was tested by meta-analysis of Brucella vaccine studies reported in the literature.
resultsNineteen variables related to vaccine-induced protection of mice against infection with virulent brucellae were selected based on modeling investigation of the vaccine protection processes. The variable "vaccine protection efficacy" was set as a dependent variable while the other eighteen were set as independent variables. Discrete or continuous values were collected from papers for each variable of each data set. In total, 401 experimental groups were manually annotated from 74 peer-reviewed publications containing mouse protection data for live attenuated Brucella vaccines or vaccine candidates. Our ANOVA analysis indicated that nine variables contributed significantly (P-value < 0.05) to Brucella vaccine protection efficacy: vaccine strain, vaccination host (mouse) strain, vaccination dose, vaccination route, challenge pathogen strain, challenge route, challenge-killing interval, colony forming units (CFUs) in mouse spleen, and CFU reduction compared to control group. The other 10 variables (e.g., mouse age, vaccination-challenge interval, and challenge dose) were not found to be statistically significant (P-value > 0.05). The protection level of RB51 was sacrificed when the values of several variables (e.g., vaccination route, vaccine viability, and challenge pathogen strain) change. It is suggestive that it is difficult to protect against aerosol challenge. Somewhat counter-intuitively, our results indicate that intraperitoneal and subcutaneous vaccinations are much more effective to protect against aerosol Brucella challenge than intranasal vaccination.
conclusionsLiterature meta-analysis identified variables that significantly contribute to Brucella vaccine protection efficacy. The results obtained provide critical information for rational vaccine study design. Literature meta-analysis is generic and can be applied to analyze variables critical for vaccine protection against other infectious diseases.
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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.