Evidence map›Paper›PMID 20682698›Full record

ArticleDiabetes2010

Identification of a serum-induced transcriptional signature associated with type 1 diabetes in the BioBreeding rat.

Mary Kaldunski, Shuang Jia, Rhonda Geoffrey, Joel Basken, Simon Prosser, Sanjay Kansra, John P Mordes, Ake Lernmark, Xujing Wang, Martin J Hessner

Abstract read
In one paragraph

Article in Diabetes, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

21 citing papers in PubMed, 29 citations in OpenAlex.

  1. Trial
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  3. Article
  4. Review
  5. Article
  6. Increased Expression of Plasma-Induced ABCC1 mRNA in Cystic Fibrosis.International journal of molecular sciences · 2017
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Innate inflammation in type 1 diabetes.Translational research : the journal of laboratory and clinical medicine · 2016
    Review
  13. Article
  14. Article
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  18. Article
  19. Article
  20. Functional biomarkers of depression: diagnosis, treatment, and pathophysiology.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2011
    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

10 authors at 4 institutions in 1 country.

Mary KaldunskiMax McGee National Research Center for Juvenile Diabetes, Department of Pediatrics at the Medical College of Wisconsin, the Children's Research Institute of Children’s Hospital of Wisconsin, and theHuman and Molecular Genetics Center, Milwaukee, Wisconsin, USA.
Shuang Jia
Rhonda Geoffrey
Joel Basken
Simon Prosser
Sanjay Kansra
John P Mordes
Ake Lernmark
Xujing Wang
Martin J Hessner
Children's Hospital of Wisconsin · USMedical College of Wisconsin · USUniversity of Massachusetts Chan Medical School · USUniversity of Washington · US

Funding

GENETIC CONTROL OF BB RAT AUTOIMMUNITY.P01AI042380 · NIAID · UNIVERSITY OF WASHINGTON · PI LERNMARK, AKE · 1997 to 2009
$8.2M
Dissection of cellular interactions in T1DM with integrated functional genomicsR01AI078713 · NIAID · MEDICAL COLLEGE OF WISCONSIN · PI HESSNER, MARTIN J · 2009 to 2013
$1.7M
Integrative genomics to to dissect the genetic regulation of T1D onsetR01DK080100 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI WANG, XUJING · 2007 to 2010
$1.0M
NIAID NIH HHS P01 AI042380NIAID NIH HHS P01AI42380NIAID NIH HHS R01 AI078713NIAID NIH HHS R01AI078713NIDDK NIH HHS R01 DK080100NIDDK NIH HHS R01DK080100
6 · The paper itself

Abstract

objectiveInflammatory mediators associated with type 1 diabetes are dilute and difficult to measure in the periphery, necessitating development of more sensitive and informative biomarkers for studying diabetogenic mechanisms, assessing preonset risk, and monitoring therapeutic interventions. RESEARCH DESIGN AND

methodsWe previously utilized a novel bioassay in which human type 1 diabetes sera were used to induce a disease-specific transcriptional signature in unrelated, healthy peripheral blood mononuclear cells (PBMCs). Here, we apply this strategy to investigate the inflammatory state associated with type 1 diabetes in biobreeding (BB) rats.

resultsConsistent with their common susceptibility, sera of both spontaneously diabetic BB DRlyp/lyp and diabetes inducible BB DR+/+ rats induced transcription of cytokines, immune receptors, and signaling molecules in PBMCs of healthy donor rats compared with control sera. Like the human type 1 diabetes signature, the DRlyp/lyp signature, which is associated with progression to diabetes, was differentiated from that of the DR+/+ by induction of many interleukin (IL)-1-regulated genes. Supplementing cultures with an IL-1 receptor antagonist (IL-1Ra) modulated the DRlyp/lyp signature (P < 10(-6)), while administration of IL-1Ra to DRlyp/lyp rats delayed onset (P = 0.007), and sera of treated animals did not induce the characteristic signature. Consistent with the presence of immunoregulatory cells in DR+/+ rats was induction of a signature possessing negative regulators of transcription and inflammation.

conclusionsParalleling our human studies, serum signatures in BB rats reflect processes associated with progression to type 1 diabetes. Furthermore, these studies support the potential utility of this approach to detect changes in the inflammatory state during therapeutic intervention.

Indexed as

AnimalsAntigensDiabetes Mellitus, Type 1Disease ProgressionGene Expression RegulationGenetic Predisposition to DiseaseHLA-DR AntigensHomeostasisHumansInterleukin-1Interleukin-1betaInterleukinsMaleRatsRats, Inbred BBRats, Inbred BNAntigensHLA-DR AntigensInterleukin-1Interleukin-1betaInterleukins

Identifiers

PMID20682698
PMCPMC3279523
OpenAlexW2124155037

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.