Evidence map›Paper›PMID 22434513›Full record

ReviewImmunologic research2012

Human poly- and cross-reactive anti-viral antibodies and their impact on protection and pathology.

Lucile Warter, Ramapraba Appanna, Katja Fink

Open access · bronzeAbstract readReview
PubMed Publisher
In one paragraph

Review in Immunologic research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 25 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Lucile WarterSingapore Immunology Network, Agency for Science, Technology and Research (A*STAR), 8A Biomedical Grove, #03 Immunos, Biopolis, Singapore.
Ramapraba Appanna
Katja Fink
Singapore Immunology Network · SGAgency for Science, Technology and Research · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anti-viral immune responses have been studied extensively in order to inform rational vaccine design. Following viral infection, the balance of pathologic and protective antibody responses in the host can critically influence clinical outcomes. Comparisons of the different classes of antibodies produced after acute or chronic viral infections have uncovered common features of anti-viral responses, but these analyses have also revealed temporal differences in neutralizing antibody production, variable neutralization potency and differential induction of cross-reactive antibodies. Cross-reactive antibodies are known to play crucial protective roles in host responses to chronic viral infections; recent studies in human immunodeficiency virus long-term controllers have identified a novel class of broadly neutralizing antibodies generated from highly mutated and selected memory B cells. Here, we summarize the various roles played by cross- and poly-reactive antibodies in acute and persistent viral infections, with a focus on the potential contribution of these antibodies to dengue virus (DENV) immunopathology and host protection. Since host antibodies profoundly alter the course of viral infections, effective DENV vaccine design will require a better understanding of the origin, affinity maturation and protective potential of the poly-reactive and cross-reactive antibodies induced by different interventions.

Indexed as

Immunity, HumoralAcute DiseaseAnimalsAntibodies, NeutralizingAntibodies, ViralAntigens, ViralChronic DiseaseCross ReactionsDengueDengue VaccinesDengue VirusHIVHIV InfectionsHumansImmunologic MemoryAntibodies, NeutralizingAntibodies, ViralAntigens, ViralDengue Vaccines

Identifiers

PMID22434513
OpenAlexW2073519961

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.