Evidence map›Paper›PMID 28163018›Full record

ArticleJournal of immunological methods2017

Multiplexed Fc array for evaluation of antigen-specific antibody effector profiles.

Eric P Brown, Karen G Dowell, Austin W Boesch, Erica Normandin, Alison E Mahan, Thach Chu, Dan H Barouch, Chris Bailey-Kellogg, Galit Alter, Margaret E Ackerman

Open access · hybridAbstract read
In one paragraph

Article in Journal of immunological methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 161 papers.

0numbers the graph read from it
0cells of the map it votes in
161citing papers in PubMed
9.0field-weighted citation impact, top 2% 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

161 citing papers in PubMed, 216 citations in OpenAlex.

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101 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

10 authors at 3 institutions in 1 country.

Eric P BrownThayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA.
Karen G DowellDepartment of Computer Science, Dartmouth College, Hanover, NH 03755, USA.
Austin W BoeschThayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA.
Erica NormandinThayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA.
Alison E MahanRagon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA.
Thach ChuThayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA.
Dan H BarouchBeth Israel Deaconess Medical Center, Boston, MA, USA.
Chris Bailey-KelloggDepartment of Computer Science, Dartmouth College, Hanover, NH 03755, USA.
Galit AlterRagon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA.
Margaret E AckermanThayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA. Electronic address: margaret.e.ackerman@dartmouth.edu.
Dartmouth College · USRagon Institute of MGH, MIT and Harvard · USBeth Israel Deaconess Medical Center · US

Funding

Applying High-Performance Protein Engineering Tools to HIV Immunogen DesignR01AI102691 · NIAID · DARTMOUTH COLLEGE · PI ACKERMAN, MARGARET E · 2012 to 2015
$2.2M
NIAID NIH HHS R01 AI102691
6 · The paper itself

Abstract

Antibodies are widely considered to be a frequent primary and often mechanistic correlate of protection of approved vaccines; thus evaluating the antibody response is of critical importance in attempting to understand and predict the efficacy of novel vaccine candidates. Historically, antibody responses have been analyzed by determining the titer of the humoral response using measurements such as an ELISA, neutralization, or agglutination assays. In the simplest case, sufficiently high titers of antibody against vaccine antigen(s) are sufficient to predict protection. However, antibody titer provides only a partial measure of antibody function, which is dependent on both the variable region (Fv) to bind the antigen target, and the constant region (Fc) to elicit an effector response from the innate arm of the immune system. In the case of some diseases, such as HIV, for which an effective vaccine has proven elusive, antibody effector function has been shown to be an important driver of monoclonal antibody therapy outcomes, of viral control in infected patients, and of vaccine-mediated protection in preclinical and clinical studies. We sought to establish a platform for the evaluation of the Fc domain characteristics of antigen-specific antibodies present in polyclonal samples in order to better develop insights into Fc receptor-mediated antibody effector activity, more fully understand how antibody responses may differ in association with disease progression and between subject groups, and differentiate protective from non-protective responses. To this end we have developed a high throughput biophysical platform capable of simultaneously evaluating many dimensions of the antibody effector response.

Indexed as

Immunologic TechniquesAIDS VaccinesAnimalsAntibody AffinityAntibody-Dependent Cell CytotoxicityBinding Sites, AntibodyCase-Control StudiesDisease Models, AnimalFlow CytometryHigh-Throughput Screening AssaysHIVHIV AntibodiesHIV InfectionsHumansImmunity, HumoralImmunizationAIDS VaccinesHIV AntibodiesImmunoglobulin Fc FragmentsReceptors, IgGADCCAntibodyEffector functionIgGPhagocytosisVaccines

Identifiers

PMID28163018
PMCPMC5333794
OpenAlexW2585172252

What OpenQuestion 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 OpenQuestion graph.