Evidence map›Paper›PMID 25622092›Full record

ReviewHuman vaccines & immunotherapeutics2015

Diabetes tolerogenic vaccines targeting antigen-specific inflammation.

Shuang Geng, Huiyuan Zhang, Xian Zhou, Yue He, Xiaoqian Zhang, Xiaoping Xie, Chaofan Li, Zhonghuai He, Qingling Yu, Yiwei Zhong and 3 more

Open access · bronzeAbstract readReview
In one paragraph

Review in Human vaccines & immunotherapeutics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 94% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
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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

13 authors at 6 institutions in 3 countries.

Shuang Genga Key Laboratory of Medical Molecular Virology of MOH and MOE ; Fudan University Shanghai Medical College ; Shanghai , China.
Huiyuan Zhang
Xian Zhou
Yue He
Xiaoqian Zhang
Xiaoping Xie
Chaofan Li
Zhonghuai He
Qingling Yu
Yiwei Zhong
Douglas B Lowrie
Guoxing Zheng
Bin Wang
Shanghai Medical College of Fudan University · CNAgroBio · BRBeijing VDJBio (China) · CNChina Agricultural University · CNShanghai Public Health Clinical Center · CNUniversity of Illinois Chicago, Rockford campus · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tolerance controls the magnitude of inflammation, and balance between beneficial and harmful effects of inflammation is crucial for organ function and survival. Inadequate tolerance leads to various inflammatory diseases. Antigen specific tolerance is ideal for inflammation control as alternative anti-inflammatory interventions are non-specific and consequently increase the risk of infection and tumorigenesis. With inherent antigen specificity, tolerogenic vaccines are potentially ideal for control of inflammation. Although the concept of tolerogenic vaccines is still in its infancy, tolerogenic mucosal vaccines and specific immuno-therapies have long been proven effective in pioneering examples. Now a body of evidence supporting the concept of tolerogenic vaccines has also accumulated. Here we comment on recent successes of the tolerogenic vaccine concept, present new evidence with a type 1 diabetes vaccine as an example and draw conclusions on the advantages and potential for inflammatory disease control at the bedside.

Indexed as

Immune ToleranceAnimalsAutoimmune DiseasesDiabetes Mellitus, Type 1HumansImmunosuppressive AgentsVaccinesImmunosuppressive AgentsVaccinesantigen specific inhibitionautoimmune disease treatmentco-immunizationimmune suppressionimmuno-suppressorsinflammationsuppressive vaccinetolerancetolerogenic vaccinetype 1 diabetes

Identifiers

PMID25622092
PMCPMC4514223
OpenAlexW2098018476

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.