Evidence map›Paper›PMID 16203992›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2005

Profiling of genes expressed in peripheral blood mononuclear cells predicts glucocorticoid sensitivity in asthma patients.

Hakon Hakonarson, Unnur S Bjornsdottir, Eva Halapi, Jonathan Bradfield, Florian Zink, Magali Mouy, Hildur Helgadottir, Asta S Gudmundsdottir, Hjalti Andrason, Asdis E Adalsteinsdottir and 8 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 2 pooled it
5.6field-weighted citation impact, top 3% 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

62 citing papers in PubMed, 2 syntheses or guidelines pooled it, 161 citations in OpenAlex.

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  18. Glucocorticoid Receptor α Mediates Roflumilast's Ability to Restore Dexamethasone Sensitivity in COPD.International journal of chronic obstructive pulmonary disease · 2020
    Article
  19. Whole blood vs PBMC: compartmental differences in gene expression profiling exemplified in asthma.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2019
    Article
  20. Article

2 more citing papers are in PubMed but not listed here.

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

18 authors at 1 institution in 1 country.

Hakon HakonarsondeCODE genetics, Inc., Sturlugata 8, IS-101 Reykjavik, Iceland. hakonh@decode.is
Unnur S Bjornsdottir
Eva Halapi
Jonathan Bradfield
Florian Zink
Magali Mouy
Hildur Helgadottir
Asta S Gudmundsdottir
Hjalti Andrason
Asdis E Adalsteinsdottir
Kristleifur Kristjansson
Illugi Birkisson
Thor Arnason
Margret Andresdottir
David Gislason
Thorarinn Gislason
Jeffrey R Gulcher
Kari Stefansson
deCODE Genetics (Iceland) · IS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene expression profiles were examined in freshly isolated peripheral blood mononuclear cells (PBMC) from two independent cohorts (training and test sets) of glucocorticoid (GC)-sensitive (n = 64) and GC-resistant (n = 42) asthma patients in search of genes that accurately predict responders and nonresponders to inhaled corticosteroids. A total of 11,812 genes were examined with high-density oligonucleotide microarrays in both resting PBMC (106 patients) and cells treated in vitro with IL-1beta and TNF-alpha combined (88 patients), with or without GC. A total of 5,011 genes were expressed at significant levels in the PBMC, and 1,334 of those were notably up-regulated or down-regulated by IL-1beta/TNF-alpha treatment. The expression changes of 923 genes were significantly reversed in GC responders in the presence of GC. The expression pattern of 15 of these 923 genes that most accurately separated GC responders (n = 26) from the nonresponders (n = 18) in the training set, based on the weighted voting algorithm, predicted the independent test set of equal size with 84% accuracy. The expression accuracy of these genes was confirmed by real-time-quantitative PCR, wherein 11 of the 15 genes predicted GC sensitivity at baseline with 84% accuracy, with one gene predicting at 81% in an independent cohort of 79 patients. We conclude that we have uncovered gene expression profiles in PBMC that predict clinical response to inhaled GC therapy with meaningful accuracy. Upon validation in an independent study, these results support the development of a diagnostic test to guide GC therapy in asthma patients.

Indexed as

Gene Expression ProfilingAdultAgedAsthmaCohort StudiesFemaleGene Expression RegulationGlucocorticoidsHumansIcelandInterleukin-1Leukocytes, MononuclearMaleMiddle AgedOligonucleotide Array Sequence AnalysisReverse Transcriptase Polymerase Chain ReactionGlucocorticoidsInterleukin-1Tumor Necrosis Factor-alpha

Identifiers

PMID16203992
PMCPMC1253826
OpenAlexW2163117238

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.