Evidence map›Paper›PMID 18682102›Full record

ArticleCurrent allergy and asthma reports2008

Genetic origins of hyper-IgE syndrome.

Yoshiyuki Minegishi, Hajime Karasuyama

Abstract read
PubMed Publisher
In one paragraph

Article in Current allergy and asthma reports, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-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

11 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. International journal of molecular sciences · 2020
    Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Recent advances in the IL-17 cytokine family.Current opinion in immunology · 2011
    Review
  9. Article
  10. Human defensins and LL-37 in mucosal immunity.Journal of leukocyte biology · 2010
    Review
  11. 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

2 authors at 1 institution in 1 country.

Yoshiyuki MinegishiDepartment of Immune Regulation, Tokyo Medical and Dental University Graduate School, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8519, Japan. yminegishi.mbch@tmd.ac.jp
Hajime Karasuyama
Tokyo Medical and Dental University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hyper-IgE syndrome (HIES) is a complex primary immunodeficiency characterized by high serum IgE, chronic eczematoid dermatitis, and recurrent extracellular bacterial infections. Two types of HIES have been reported: type 1 and type 2. Type 1 HIES displays abnormalities in multiple systems, including the skeletal, dental, and immune systems, whereas type 2 shows abnormalities confined to the immune system. We recently identified hypomorphic mutations in the signal transducer and activator of transcription 3 (STAT3) gene in type 1 HIES and a null mutation in the tyrosine kinase 2 (Tyk2) gene, accompanied by susceptibility to intracellular bacteria in type 2 HIES. Analyses of cytokine responses in both types of HIES revealed that severe defects in the signal transduction for multiple cytokines, including interleukin-6 and interleukin-23, are leading to impaired T-helper type 17 function. These findings suggest that HIES is caused by the defects in multiple cytokine signals and that the susceptibility to various infections in HIES is associated with the T-helper type 17 defect.

Indexed as

AnimalsCytokinesDermatitisHumansImmunoglobulin EInterferon-alphaInterleukin-17Janus KinasesJob SyndromeMiceMice, KnockoutMutationSignal TransductionSTAT3 Transcription FactorTYK2 KinaseCytokinesImmunoglobulin EInterferon-alphaInterleukin-17Janus KinasesSTAT3 Transcription FactorTYK2 Kinase

Identifiers

PMID18682102
OpenAlexW2056664352

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.