Evidence map›Paper›PMID 26325257›Full record

ArticleHuman vaccines & immunotherapeutics2016

Immunological considerations for developing antibody therapeutics for Influenza A.

Po-Ying Chan-Hui, Kristine M Swiderek

Open access · bronzeAbstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
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

2 authors at 1 institution in 1 country.

Po-Ying Chan-Huia Theraclone Sciences ; Seattle , WA , USA.
Kristine M Swidereka Theraclone Sciences ; Seattle , WA , USA.
Seattle University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Influenza infection can give rise to serious illness leading to complications and hospitalization of patients. The efficacy of current standard of care is very limited and provides little relief for patients hospitalized with serious flu. Human monoclonal antibodies (mAb) against influenza are being developed as new treatment options for this patient population. When developing antibody therapeutics, it is important to consider all possible immunologic effects of the antibodies on viral infection and disease progression including those other than the postulated therapeutic mechanisms. An area of concern is the potential of antibody-dependent enhancement (ADE) of illness. ADE of viral infections has been extensively described for Dengue virus (DENV) but not for influenza. Recently, preliminary results from clinical viral challenge studies of anti-HA-stalk mAbs suggested the possibility of enhanced viral shedding, raising concerns for ADE when utilizing mAbs as therapeutic intervention for influenza although viral shedding was not enhanced in the clinical viral challenge of anti-M2 mAb TCN-032. We herein discuss the known mechanisms of ADE and their relevance to developing mAbs such as anti-HA and anti-M2 for influenza disease.

Indexed as

Antibodies, MonoclonalAntibodies, NeutralizingAntibodies, ViralAntibody-Dependent EnhancementHemagglutinin Glycoproteins, Influenza VirusHumansImmunotherapyInfluenza, HumanViral Matrix ProteinsViroporin ProteinsVirus SheddingAntibodies, MonoclonalAntibodies, NeutralizingAntibodies, ViralHemagglutinin Glycoproteins, Influenza VirusM2 protein, Influenza A virusViral Matrix ProteinsViroporin Proteinsantibody dependent enhancementantiviralclinical developmentHemagglutinin HAInfluenzamatrix protein M2monoclonal antibodiestherapeutics

Identifiers

PMID26325257
PMCPMC5049720
OpenAlexW2278493454

What OpenQuestion holds

Textmetadata
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.