Evidence map›Paper›PMID 26156520›Full record

ArticleBMC medical genomics2015

Using gene expression signatures to identify novel treatment strategies in gulf war illness.

Travis J A Craddock, Jeanna M Harvey, Lubov Nathanson, Zachary M Barnes, Nancy G Klimas, Mary Ann Fletcher, Gordon Broderick

Abstract read
In one paragraph

Article in BMC medical genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Article
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  8. DRUGPATH: The Drug Gene Pathway Meta-Database.International journal of molecular sciences · 2020
    Article
  9. Article
  10. Exploring the Role of Chemokine Receptor 6 (Frontiers in neuroscience · 2020
    Article
  11. Article
  12. Article
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  14. Review
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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

7 authors.

Travis J A CraddockCenter for Psychological Studies, Nova Southeastern University, Fort Lauderdale, USA. tcraddock@nova.edu.
Jeanna M HarveyMiller School of Medicine, University of Miami, Miami, USA.
Lubov NathansonInstitute for Neuro-Immune Medicine, Nova Southeastern University, 3440 South University Drive, Fort Lauderdale, FL, 33328, USA.
Zachary M BarnesInstitute for Neuro-Immune Medicine, Nova Southeastern University, 3440 South University Drive, Fort Lauderdale, FL, 33328, USA.
Nancy G KlimasInstitute for Neuro-Immune Medicine, Nova Southeastern University, 3440 South University Drive, Fort Lauderdale, FL, 33328, USA.
Mary Ann FletcherInstitute for Neuro-Immune Medicine, Nova Southeastern University, 3440 South University Drive, Fort Lauderdale, FL, 33328, USA.
Gordon BroderickCenter for Psychological Studies, Nova Southeastern University, Fort Lauderdale, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGulf War Illness (GWI) is a complex multi-symptom disorder that affects up to one in three veterans of this 1991 conflict and for which no effective treatment has been found. Discovering novel treatment strategies for such a complex chronic illness is extremely expensive, carries a high probability of failure and a lengthy cycle time. Repurposing Food and Drug Administration approved drugs offers a cost-effective solution with a significantly abbreviated timeline.

methodsHere, we explore drug re-purposing opportunities in GWI by combining systems biology and bioinformatics techniques with pharmacogenomic information to find overlapping elements in gene expression linking GWI to successfully treated diseases. Gene modules were defined based on cellular function and their activation estimated from the differential expression of each module's constituent genes. These gene modules were then cross-referenced with drug atlas and pharmacogenomic databases to identify agents currently used successfully for treatment in other diseases. To explore the clinical use of these drugs in illnesses similar to GWI we compared gene expression patterns in modules that were significantly expressed in GWI with expression patterns in those same modules in other illnesses.

resultsWe found 19 functional modules with significantly altered gene expression patterns in GWI. Within these modules, 45 genes were documented drug targets. Illnesses with highly correlated gene expression patterns overlapping considerably with GWI were found in 18 of the disease conditions studied. Brain, muscular and autoimmune disorders composed the bulk of these.

conclusionOf the associated drugs, immunosuppressants currently used in treating rheumatoid arthritis, and hormone based therapies were identified as the best available candidates for treating GWI symptoms.

Indexed as

Gene Expression ProfilingAdultDatabases, GeneticDrug RepositioningHumansMaleMedical InformaticsMiddle AgedMolecular Targeted TherapyPersian Gulf SyndromePharmacogeneticsVeterans

Identifiers

PMID26156520
PMCPMC4495687

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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.