Evidence map›Paper›PMID 34212134›Full record

ArticleFrontiers in big data2021

Comprehensive Data Integration Approach to Assess Immune Responses and Correlates of RTS,S/AS01-Mediated Protection From Malaria Infection in Controlled Human Malaria Infection Trials.

William Chad Young, Lindsay N Carpp, Sidhartha Chaudhury, Jason A Regules, Elke S Bergmann-Leitner, Christian Ockenhouse, Ulrike Wille-Reece, Allan C deCamp, Ellis Hughes, Celia Mahoney and 15 more

Abstract read
In one paragraph

Article in Frontiers in big data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Trial
  2. The Anti-Circumsporozoite Antibody Response of Children to Seasonal Vaccination With the RTS,S/AS01E Malaria Vaccine.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Trial
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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

25 authors.

William Chad YoungVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States.
Lindsay N CarppVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States.
Sidhartha ChaudhuryMalaria Biologics Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States.
Jason A RegulesMalaria Biologics Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States.
Elke S Bergmann-LeitnerMalaria Biologics Branch, Walter Reed Army Institute of Research, Silver Spring, MD, United States.
Christian OckenhousePATH Malaria Vaccine Initiative, Washington, DC, United States.
Ulrike Wille-ReecePATH Malaria Vaccine Initiative, Washington, DC, United States.
Allan C deCampVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States.
Ellis HughesVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States.
Celia MahoneyVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States.
Suresh PallikkuthDepartment of Microbiology and Immunology, University of Miami Miller School of Medicine, Miami, FL, United States.
Savita PahwaDepartment of Microbiology and Immunology, University of Miami Miller School of Medicine, Miami, FL, United States.
S Moses DennisonCenter for Human Systems Immunology, Duke University, Durham, NC, United States.
Sarah V MudrakCenter for Human Systems Immunology, Duke University, Durham, NC, United States.
S Munir AlamCenter for Human Systems Immunology, Duke University, Durham, NC, United States.
Kelly E SeatonCenter for Human Systems Immunology, Duke University, Durham, NC, United States.
Rachel L SprengCenter for Human Systems Immunology, Duke University, Durham, NC, United States.
Jon FallonRagon Institute of MGH, MIT, and Harvard, Cambridge, MA, United States.
Ashlin MichellRagon Institute of MGH, MIT, and Harvard, Cambridge, MA, United States.
Fernando Ulloa-MontoyaGSK, Rixensart, Belgium.
Margherita CocciaGSK, Rixensart, Belgium.
Erik JongertGSK, Rixensart, Belgium.
Galit AlterRagon Institute of MGH, MIT, and Harvard, Cambridge, MA, United States.
Georgia D TomarasCenter for Human Systems Immunology, Duke University, Durham, NC, United States.
Raphael GottardoVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States.

Funding

VACCINE INDUCED IMMUNITY IN THE YOUNG AND AGEDU19AI057266 · NIAID · EMORY UNIVERSITY · PI Rafi Ahmed · 2003 to 2026
$81.7M
Systems Biology CoreU19AI128914 · NIAID · SEATTLE CHILDREN'S HOSPITAL · PI Margaret Juliana McElrath, KENNETH D STUART · 2017 to 2026
$29.5M
NIAID NIH HHS U19 AI057266NIAID NIH HHS U19 AI128914
6 · The paper itself

Abstract

RTS,S/AS01 (GSK) is the world's first malaria vaccine. However, despite initial efficacy of almost 70% over the first 6 months of follow-up, efficacy waned over time. A deeper understanding of the immune features that contribute to RTS,S/AS01-mediated protection could be beneficial for further vaccine development. In two recent controlled human malaria infection (CHMI) trials of the RTS,S/AS01 vaccine in malaria-naïve adults, MAL068 and MAL071, vaccine efficacy against patent parasitemia ranged from 44% to 87% across studies and arms (each study included a standard RTS,S/AS01 arm with three vaccine doses delivered in four-week-intervals, as well as an alternative arm with a modified version of this regimen). In each trial, RTS,S/AS01 immunogenicity was interrogated using a broad range of immunological assays, assessing cellular and humoral immune parameters as well as gene expression. Here, we used a predictive modeling framework to identify immune biomarkers measured at day-of-challenge that could predict sterile protection against malaria infection. Using cross-validation on MAL068 data (either the standard RTS,S/AS01 arm alone, or across both the standard RTS,S/AS01 arm and the alternative arm), top-performing univariate models identified variables related to Fc effector functions and titer of antibodies that bind to the central repeat region (NANP6) of CSP as the most predictive variables; all NANP6-related variables consistently associated with protection. In cross-study prediction analyses of MAL071 outcomes (the standard RTS,S/AS01 arm), top-performing univariate models again identified variables related to Fc effector functions of NANP6-targeting antibodies as highly predictive. We found little benefit-with this dataset-in terms of improved prediction accuracy in bivariate models vs. univariate models. These findings await validation in children living in malaria-endemic regions, and in vaccinees administered a fourth RTS,S/AS01 dose. Our findings support a "quality as well as quantity" hypothesis for RTS,S/AS01-elicited antibodies against NANP6, implying that malaria vaccine clinical trials should assess both titer and Fc effector functions of anti-NANP6 antibodies.

Indexed as

correlates of protectionimmune responsemachine learningmalariavaccine

Identifiers

PMID34212134
PMCPMC8239149

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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 OpenQuestion graph.