Evidence map›Paper›PMID 28133810›Full record

ReviewImmunological reviews2017

Systems serology for evaluation of HIV vaccine trials.

Margaret E Ackerman, Dan H Barouch, Galit Alter

Open access · greenAbstract readReview
In one paragraph

Review in Immunological reviews, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

61 citing papers in PubMed, 76 citations in OpenAlex.

  1. Review
  2. Article
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  13. Review
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  18. Article
  19. Article
  20. Correlates of Protection for Cholera.The Journal of infectious diseases · 2021
    Article

1 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 1 country.

Margaret E AckermanThayer School of Engineering, Dartmouth College, Hanover, NH, USA.
Dan H BarouchRagon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA.
Galit AlterRagon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA.
Ragon Institute of MGH, MIT and Harvard · USDartmouth College · US

Funding

The impact of HIV viral diversity and cellular immunity on HIV pathogenesisP30AI060354 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI ROBERT A. PARKER · 2004 to 2026
$94.4M
Preclinical Evaluation of Novel Adenovirus Prime-Boost HIV-1 VaccineU19AI078526 · NIAID · BETH ISRAEL DEACONESS MEDICAL CENTER · PI BAROUCH, DAN H. · 2008 to 2012
$44.0M
VirologyU19AI095985 · NIAID · BETH ISRAEL DEACONESS MEDICAL CENTER · PI BURTON, DENNIS R. · 2011 to 2015
$35.9M
Preclinical Evaluation of Novel Ad/MVA and Ad/Protein HIV-1 VaccinesU19AI096040 · NIAID · BETH ISRAEL DEACONESS MEDICAL CENTER · PI SEAMAN, MICHAEL SCOTT · 2012 to 2016
$18.0M
Demystifying the antiviral activity of the IgG3+ antibody responseR37AI080289 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI ALTER, GALIT · 2015 to 2022
$5.8M
Demystifying the antiviral activity of the IgG3+ antibody responseR01AI080289 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI JUELG, BORIS DOMINIK · 2009 to 2024
$4.1M
Impact of HIV Envelope Conformation on ImmunogenicityR01AI084794 · NIAID · BETH ISRAEL DEACONESS MEDICAL CENTER · PI BAROUCH, DAN H., CHEN, BING · 2009 to 2013
$4.0M
Tuning Fc-effector functions of HIV-specific antibodiesR01AI102660 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI ALTER, GALIT · 2012 to 2015
$3.0M
METAGENOMICS OF ENTERIC DISEASE IN SIV-INFECTED AND UNINFECTED MACAQUESR01OD011170 · OD · WASHINGTON UNIVERSITY · PI BAROUCH, DAN H., VIRGIN, HERBERT W · 2012 to 2014
$2.3M
Applying High-Performance Protein Engineering Tools to HIV Immunogen DesignR01AI102691 · NIAID · DARTMOUTH COLLEGE · PI ACKERMAN, MARGARET E · 2012 to 2015
$2.2M
CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001ENIAID NIH HHS P30 AI060354NIAID NIH HHS R01 AI080289NIAID NIH HHS R01 AI084794NIAID NIH HHS R01 AI102660NIAID NIH HHS R01 AI102691NIAID NIH HHS R37 AI080289NIAID NIH HHS U19 AI078526NIAID NIH HHS U19 AI095985NIAID NIH HHS U19 AI096040NIH HHS R01 OD011170
6 · The paper itself

Abstract

The scale and scope of the global epidemic, coupled to challenges with traditional vaccine development approaches, point toward a need for novel methodologies for HIV vaccine research. While the development of vaccines able to induce broadly neutralizing antibodies remains the ultimate goal, to date, vaccines continue to fail to induce these rare humoral immune responses. Conversely, growing evidence across vaccine platforms in both non-human primates and humans points to a role for polyclonal vaccine-induced antibody responses in protection from infection. These candidate vaccines, despite employing disparate viral vectors and immunization strategies, consistently identify a role for functional or non-traditional antibody activities as correlates of immunity. However, the precise mechanism(s) of action of these "binding" antibodies, their specific characteristics, and their ability to be selectively induced and/or potentiated to result in complete protection merits parallel investigation to neutralizing antibody-based vaccine design approaches. Ultimately, while neutralizing and functional antibody-based vaccine strategies need not be mutually exclusive, defining the specific characteristics of "protective" functional antibodies may provide a target immune profile to potentially induce more robust immunity against HIV. Specifically, one approach to guide the development of functional antibody-based vaccine strategies, termed "systems serology", offers an unbiased and comprehensive approach to systematically survey humoral immune responses, capturing the array of functions and humoral response characteristics that may be induced following vaccination with high resolution. Coupled to machine learning tools, large datasets that explore the "antibody-ome" offer a means to step back from anticipated correlates and mechanisms of protection and toward a more fundamental understanding of coordinated aspects of humoral immune responses, to more globally differentiate among vaccine candidates, and most critically, to identify the features of humoral immunity that distinguish protective from non-protective responses. Overall, the systematic serological approach described here aimed at broadly capturing the enormous biodiversity in antibody profiles that may emerge following vaccination, complements the existing cutting edge tools in the cellular immunology space that survey vaccine-induced polyfunctional cellular activity by flow cytometry, transcriptional profiling, epigenetic, and metabolomic analysis to offer a means to develop both a more nuanced and a more complete understanding of correlates of protection to support the design of functional vaccine strategies.

Indexed as

AIDS SerodiagnosisSystems AnalysisAIDS VaccinesAnimalsAntibodies, NeutralizingHIV-1HIV AntibodiesHIV InfectionsHumansPrimatesTreatment OutcomeVaccinationAIDS VaccinesAntibodies, NeutralizingHIV Antibodiesantibodyeffector functionFc receptormachine learningvaccine

Identifiers

PMID28133810
PMCPMC5292205
OpenAlexW2581432575

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.