Evidence map›Paper›PMID 26192591›Full record

ArticlePloS one2015

Achieving Remission in Gulf War Illness: A Simulation-Based Approach to Treatment Design.

Travis J A Craddock, Ryan R Del Rosario, Mark Rice, Joel P Zysman, Mary Ann Fletcher, Nancy G Klimas, Gordon Broderick

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
0.9field-weighted citation impact, top 34% 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

23 citing papers in PubMed, 29 citations in OpenAlex.

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  12. DRUGPATH: The Drug Gene Pathway Meta-Database.International journal of molecular sciences · 2020
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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 at 2 institutions in 1 country.

Travis J A CraddockInstitute for Neuro Immune Medicine, Nova Southeastern University, Ft. Lauderdale, FL, United States of America; Center for Psychological Studies, Nova Southeastern University, Ft. Lauderdale, FL, United States of America; Graduate School for Computer and Information Sciences, Nova Southeastern University, Ft. Lauderdale, FL, United States of America; College of Osteopathic Medicine, Nova Southeastern University, Ft. Lauderdale, FL, United States of America.
Ryan R Del RosarioInstitute for Neuro Immune Medicine, Nova Southeastern University, Ft. Lauderdale, FL, United States of America.
Mark RiceInstitute for Neuro Immune Medicine, Nova Southeastern University, Ft. Lauderdale, FL, United States of America.
Joel P ZysmanCenter for Computational Science, University of Miami, Miami, FL, USA.
Mary Ann FletcherInstitute for Neuro Immune Medicine, Nova Southeastern University, Ft. Lauderdale, FL, United States of America; College of Osteopathic Medicine, Nova Southeastern University, Ft. Lauderdale, FL, United States of America.
Nancy G KlimasInstitute for Neuro Immune Medicine, Nova Southeastern University, Ft. Lauderdale, FL, United States of America; College of Osteopathic Medicine, Nova Southeastern University, Ft. Lauderdale, FL, United States of America; Veterans Affairs Medical Center, Miami, FL, United States of America.
Gordon BroderickInstitute for Neuro Immune Medicine, Nova Southeastern University, Ft. Lauderdale, FL, United States of America; Center for Psychological Studies, Nova Southeastern University, Ft. Lauderdale, FL, United States of America; College of Osteopathic Medicine, Nova Southeastern University, Ft. Lauderdale, FL, United States of America; College of Pharmacy, Nova Southeastern University, Ft. Lauderdale, FL, United States of America.
Nova Southeastern University · USUniversity of Miami · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gulf War Illness (GWI) is a chronic multi-symptom disorder affecting up to one-third of the 700,000 returning veterans of the 1991 Persian Gulf War and for which there is no known cure. GWI symptoms span several of the body's principal regulatory systems and include debilitating fatigue, severe musculoskeletal pain, cognitive and neurological problems. Using computational models, our group reported previously that GWI might be perpetuated at least in part by natural homeostatic regulation of the neuroendocrine-immune network. In this work, we attempt to harness these regulatory dynamics to identify treatment courses that might produce lasting remission. Towards this we apply a combinatorial optimization scheme to the Monte Carlo simulation of a discrete ternary logic model that represents combined hypothalamic-pituitary-adrenal (HPA), gonadal (HPG), and immune system regulation in males. In this work we found that no single intervention target allowed a robust return to normal homeostatic control. All combined interventions leading to a predicted remission involved an initial inhibition of Th1 inflammatory cytokines (Th1Cyt) followed by a subsequent inhibition of glucocorticoid receptor function (GR). These first two intervention events alone ended in stable and lasting return to the normal regulatory control in 40% of the simulated cases. Applying a second cycle of this combined treatment improved this predicted remission rate to 2 out of 3 simulated subjects (63%). These results suggest that in a complex illness such as GWI, a multi-tiered intervention strategy that formally accounts for regulatory dynamics may be required to reset neuroendocrine-immune homeostasis and support extended remission.

Indexed as

Computer SimulationCytokinesHumansMaleModels, TheoreticalPersian Gulf SyndromeRemission InductionVeteransCytokines

Identifiers

PMID26192591
PMCPMC4508058
OpenAlexW1033942775

What OpenQuestion holds

Textmetadata
LicenceCC0
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.