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Record W3023084813 · doi:10.3389/fped.2020.00197

Clinical Protocol for a Longitudinal Cohort Study Employing Systems Biology to Identify Markers of Vaccine Immunogenicity in Newborn Infants in The Gambia and Papua New Guinea

2020· article· en· W3023084813 on OpenAlex
Olubukola T. Idoko, Kinga K. Smolen, Oghenebrume Wariri, Abdulazeez Imam, Casey P. Shannon, Tida Dibassey, Joann Diray‐Arce, Alansana Darboe, Julia Strandmark, Rym Ben-Othman, Oludare A. Odumade, Kerry McEnaney, Nelly Amenyogbe, William Pomat, Simon van Haren, Guzman Sánchez‐Schmitz, Ryan R. Brinkman, Hanno Steen, Robert E. W. Hancock, Scott J. Tebbutt, Peter Richmond, Anita H.J. van den Biggelaar, Tobias R. Kollmann, Ofer Levy, Al Ozonoff, Beate Kampmann

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFrontiers in Pediatrics · 2020
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune responses and vaccinations
Canadian institutionsUniversity of British Columbia HospitalUniversity of British ColumbiaBC Cancer AgencyBC Children's HospitalPrevention of Organ Failure
FundersNational Institute of Allergy and Infectious DiseasesNational Institutes of HealthMedical Research Charities Group
KeywordsImmunogenicityMedicineImmunologyVaccinationCohortHepatitis BCord bloodImmune systemVirologyInternal medicine

Abstract

fetched live from OpenAlex

Background: Infection contributes to significant morbidity and mortality particularly in the very young and in low- and middle-income countries. While vaccines are a highly cost-effective tool against infectious disease little is known regarding the cellular and molecular pathways by which vaccines induce protection at an early age. Immunity is distinct in early life and greater precision is required in our understanding of mechanisms of early life protection to inform development of new paediatric vaccines. Methods and analysis: We will apply transcriptomic, proteomic, metabolomic, multiplex cytokine/chemokine, adenosine deaminase and flow cytometry immune cell phenotyping to delineate early cellular and molecular signatures that correspond to vaccine immunogenicity. This approach will be applied to a neonatal cohort in The Gambia (N ~720) receiving at birth: 1) Hepatitis B (HepB) vaccine alone, 2) Bacille Calmette Guerin (BCG) vaccine alone, or 3) HepB and BCG vaccines, 4) HepB and BCG vaccines delayed till day 10 at the latest. Each study participant will have a baseline peripheral blood sample drawn at DOL0 and a second blood sample at DOL1, -3, or -7 as well as late timepoints to assess HepB vaccine immunogenicity. Blood will be fractionated via a “small sample big data” standard operating procedure that enables multiple downstream systems biology assays. We will apply both univariate and multivariate frameworks and multi-OMIC data integration to identify features associated with anti-Hepatitis B (anti-HB) titre, an established correlate of protection. Cord blood sample collection from a subset of participants will enable human in vitro modelling to test mechanistic hypotheses identified in silico regarding vaccine action. Maternal anti-HB titre and the infant microbiome will also be corelated with our findings which will be validated in a smaller cohort in Papua New Guinea (N ~80). Ethics and Dissemination: The study has been approved by The Gambia Government/MRCG Joint Ethics Committee and The Boston Children’s Hospital Institutional Review Board. Ethics review is ongoing with the Papua New Guinea Medical Research Advisory Committee. All de-identified data will be uploaded to public repositories following submission of study output for publication. Feedback meetings will be organised to disseminate output to the study communities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.638

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.048
GPT teacher head0.382
Teacher spread0.334 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it