Evidence map›Paper›PMID 26077920›Full record

ReviewNature reviews. Rheumatology2015

From bench to bedside and back again: translational research in autoinflammation.

Dirk Holzinger, Christoph Kessel, Alessia Omenetti, Marco Gattorno

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Rheumatology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

36 citing papers in PubMed, 69 citations in OpenAlex.

  1. Review
  2. Article
  3. Inflammasome Molecular Insights in Autoimmune Diseases.Current issues in molecular biology · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Leveraging diet to engineer the gut microbiome.Nature reviews. Gastroenterology & hepatology · 2021
    Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

4 authors at 3 institutions in 2 countries.

Dirk HolzingerDepartment of Paediatric Rheumatology and Immunology, University Children's Hospital Münster, Albert-Schweitzer-Campus 1, Building W30, 48149 Münster, Germany.
Christoph KesselDepartment of Paediatric Rheumatology and Immunology, University Children's Hospital Münster, Albert-Schweitzer-Campus 1, Building W30, 48149 Münster, Germany.
Alessia OmenettiDepartment of Neurosciences, Rehabilitation, Ophthalmology, Genetics and Maternal-Infant Sciences, University of Genoa, Largo Daneo 3, 16132 Genova, Italy.
Marco Gattorno2nd Division of Paediatrics "G. Gaslini" Scientific Institute, Largo G Gaslini 5, 16148 Genoa, Italy.
University Hospital Münster · DEIstituto Giannina Gaslini · ITUniversity of Genoa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Translational research approaches brought major changes to the understanding and treatment options of autoinflammatory diseases. Patients with common complex multifactorial diseases such as systemic-onset juvenile idiopathic arthritis (sJIA), and particularly those with rare monogenic autoinflammatory diseases such as cryopyrin-associated periodic syndromes (CAPS) or TNF receptor-associated periodic syndrome (TRAPS), benefited from a deeper understanding of the pathophysiological mechanisms and new treatment options emerging from preclinical studies. The study of IL-1 and IL-6 in this context led to novel therapies by forward translation. Conversely, effective treatment of sJIA and TRAPS with IL-1 blockade stimulated reverse translational efforts to study the pathophysiology of these cytokines in autoinflammatory diseases. These translational efforts led to the discovery of biomarkers such as S100 proteins, IL-18 or serum amyloid A, which are components of the inflammatory process, support diagnosis and allow for monitoring of disease activity, helping to predict patient outcomes. The ongoing characterization of autoinflammatory diseases in individual patients has led to classification into heterogeneous subgroups. Further characterization of relevant subgroups and the design of tailored treatment regimens, as well as the identification of new therapeutic targets and treatment options, are the major future challenges in the field of autoinflammatory diseases, particularly for paediatric rheumatologists.

Indexed as

InflammationTranslational Research, BiomedicalHumansRheumatic Diseases

Identifiers

PMID26077920
OpenAlexW2191082866

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.