Evidence map›Paper›PMID 33329547›Full record

Observational studyFrontiers in immunology2020

Multi-Omic Data Integration Allows Baseline Immune Signatures to Predict Hepatitis B Vaccine Response in a Small Cohort.

Casey P Shannon, Travis M Blimkie, Rym Ben-Othman, Nicole Gladish, Nelly Amenyogbe, Sibyl Drissler, Rachel D Edgar, Queenie Chan, Mel Krajden, Leonard J Foster and 11 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors at 13 institutions in 4 countries.

Casey P ShannonPrevention of Organ Failure (PROOF) Centre of Excellence and Centre for Heart Lung Innovation, St. Paul's Hospital, Vancouver, BC, Canada.
Travis M BlimkieDepartment of Microbiology and Immunology, Life Sciences Institute, University of British Columbia, Vancouver, BC, Canada.
Rym Ben-OthmanDepartment of Pediatrics, University of British Columbia, Vancouver, BC, Canada.
Nicole GladishCentre for Molecular Medicine and Therapeutics, BC Children's Hospital Research Institute, Department of Medical Genetics, The University of British Columbia, Vancouver, BC, Canada.
Nelly AmenyogbeTelethon Kids Institute, Perth Children's Hospital, University of Western Australia, Nedlands, WA, Australia.
Sibyl DrisslerTerry Fox Laboratory, British Columbia Cancer Agency, Vancouver, BC, Canada.
Rachel D EdgarCentre for Molecular Medicine and Therapeutics, BC Children's Hospital Research Institute, Department of Medical Genetics, The University of British Columbia, Vancouver, BC, Canada.
Queenie ChanDepartment of Biochemistry & Molecular Biology, Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada.
Mel KrajdenBritish Columbia Centre for Disease Control, Vancouver, BC, Canada.
Leonard J FosterDepartment of Biochemistry & Molecular Biology, Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada.
Michael S KoborCentre for Molecular Medicine and Therapeutics, BC Children's Hospital Research Institute, Department of Medical Genetics, The University of British Columbia, Vancouver, BC, Canada.
William W MohnDepartment of Microbiology and Immunology, Life Sciences Institute, University of British Columbia, Vancouver, BC, Canada.
Ryan R BrinkmanTerry Fox Laboratory, British Columbia Cancer Agency, Vancouver, BC, Canada.
Kim-Anh Le CaoMelbourne Integrative Genomics, School of Mathematics and Statistics, The University of Melbourne, Parkville, VIC, Australia.
Richard H ScheuermannDepartment of Informatics, J. Craig Venter Institute, La Jolla, CA, United States.
Scott J TebbuttPrevention of Organ Failure (PROOF) Centre of Excellence and Centre for Heart Lung Innovation, St. Paul's Hospital, Vancouver, BC, Canada.
Robert E W HancockDepartment of Microbiology and Immunology, Life Sciences Institute, University of British Columbia, Vancouver, BC, Canada.
Wayne C KoffHuman Vaccines Project, New York, NY, United States.
Tobias R KollmannDepartment of Pediatrics, University of British Columbia, Vancouver, BC, Canada.
Manish SadaranganiDepartment of Pediatrics, University of British Columbia, Vancouver, BC, Canada.
Amy Huei-Yi LeeDepartment of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada.
University of British Columbia · CABC Cancer Agency · CABC Centre for Disease Control · CABC Children's Hospital · CACanada's Michael Smith Genome Sciences Centre · CAEuropean Bioinformatics Institute · GBHuman Immunome Project · USJ. Craig Venter Institute · USPrevention of Organ Failure · CASimon Fraser University · CASt. Paul's Hospital · CAThe University of Melbourne · AUThe University of Western Australia · AU

Funding

Transcriptomics to define biomarkers of neonatal vaccine immunogenicityU19AI118608 · NIAID · BOSTON CHILDREN'S HOSPITAL · PI LEVY, OFER · 2017 to 2021
$24.7M
NIAID NIH HHS U19 AI118608
6 · The paper itself

Abstract

Background: Vaccination remains one of the most effective means of reducing the burden of infectious diseases globally. Improving our understanding of the molecular basis for effective vaccine response is of paramount importance if we are to ensure the success of future vaccine development efforts. Methods: We applied cutting edge multi-omics approaches to extensively characterize temporal molecular responses following vaccination with hepatitis B virus (HBV) vaccine. Data were integrated across cellular, epigenomic, transcriptomic, proteomic, and fecal microbiome profiles, and correlated to final HBV antibody titres. Results: Using both an unsupervised molecular-interaction network integration method (NetworkAnalyst) and a data-driven integration approach (DIABLO), we uncovered baseline molecular patterns and pathways associated with more effective vaccine responses to HBV. Biological associations were unravelled, with signalling pathways such as JAK-STAT and interleukin signalling, Toll-like receptor cascades, interferon signalling, and Th17 cell differentiation emerging as important pre-vaccination modulators of response. Conclusion: This study provides further evidence that baseline cellular and molecular characteristics of an individual's immune system influence vaccine responses, and highlights the utility of integrating information across many parallel molecular datasets.

Indexed as

GenomicsImmunogenicity, VaccineSystems BiologyVaccinationAdultAgedEpigenesis, GeneticEpigenomicsFecesFemaleGastrointestinal MicrobiomeGene Expression ProfilingGene Regulatory NetworksHepatitis BHepatitis B AntibodiesHepatitis B VaccinesEngerix-BHepatitis B AntibodiesHepatitis B Vaccinesbaseline immunityhepatitis B vaccinationmulti-omic analysisnetwork analysisvaccine response

Identifiers

PMID33329547
PMCPMC7734088
OpenAlexW3106739077

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.