Evidence map›Paper›PMID 26048268›Full record

ArticlemAbs2015

A fully human monoclonal antibody with novel binding epitope and excellent neutralizing activity to multiple human IFN-α subtypes: A candidate therapy for systemic lupus erythematosus.

Peng Du, Lei Xu, Weiyi Qiu, Dadi Zeng, Junjie Yue, Shuang Wang, Peitang Huang, Zhiwei Sun

Open access · goldAbstract read
In one paragraph

Article in mAbs, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Interferon targeted therapies in systemic lupus erythematosus.Mediterranean journal of rheumatology · 2017
    Review
  5. Article
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

8 authors at 1 institution in 2 countries.

Peng Dua Beijing Institute of Biotechnology ; Beijing , China.
Lei Xu
Weiyi Qiu
Dadi Zeng
Junjie Yue
Shuang Wang
Peitang Huang
Zhiwei Sun
Czech Academy of Sciences, Institute of Biotechnology · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systemic lupus erythematosus (SLE) is a chronic, heterogeneous autoimmune disease short of effective therapeutic agents. A multitude of studies of SLE in the last decade have accentuated a central role of the interferon alpha (IFN-α) pathway in SLE pathogenesis. We report here a candidate therapeutic neutralizing antibody, AIA22, with a different binding epitope and discrepant neutralizing profile from the anti-multiple IFN-α subtype antibodies currently in clinical trials. AIA22 specifically interacts with multiple IFN-α subtypes, binds to the type I IFN receptor 2 (IFNAR2) recognition region of IFN-α (considered a novel antigen epitope), and effectively neutralizes the activity of almost all of the IFN-α subtypes (with the exception of IFN-α7) both in vitro and in vivo. Concurrently, structural modeling and computational design yielded a mutational antibody of AIA22, AIAmut, which exhibited substantially improved neutralizing activity to multiple IFN-α subtypes.

Indexed as

AnimalsAntibodies, MonoclonalAntibodies, NeutralizingAntibody AffinityDisease Models, AnimalEnzyme-Linked Immunosorbent AssayEpitopesFemaleHumansInterferon-alphaLupus Erythematosus, SystemicMiceMice, Inbred BALB CModels, MolecularPolymerase Chain ReactionStructure-Activity RelationshipAntibodies, MonoclonalAntibodies, NeutralizingEpitopesInterferon-alphaantigen epitopecomputational designinterferon alphamonoclonal antibodyneutralizing activitysystemic lupus erythematosus

Identifiers

PMID26048268
PMCPMC4622864
OpenAlexW1881268909

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.