Evidence map›Paper›PMID 34181965›Full record

ArticleLife sciences2021

Elevated somatic mutation and evidence of genomic instability in veterans with Gulf War illness.

Stephen G Grant, Omar M Ibrahim, Xiao-Lu Jin, Nancy G Klimas, Kimberly Sullivan, Jean J Latimer

Open access · goldAbstract read
In one paragraph

Article in Life sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 93% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 3 institutions in 1 country.

Stephen G GrantDepartment of Public Health, Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Fort Lauderdale, FL, United States of America; AutoNation Institute for Breast Cancer Research, Fort Lauderdale, FL, United States of America. Electronic address: grast01@nova.edu.
Omar M IbrahimAutoNation Institute for Breast Cancer Research, Fort Lauderdale, FL, United States of America; Department of Pharmaceutical Sciences, College of Pharmacy, Nova Southeastern University, Fort Lauderdale, FL, United States of America.
Xiao-Lu JinDepartment of Pharmaceutical Sciences, College of Pharmacy, Nova Southeastern University, Fort Lauderdale, FL, United States of America.
Nancy G KlimasDepartment of Clinical Immunology, Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Fort Lauderdale, FL, United States of America; Department of Medicine, Miami VA Healthcare System, Miami, FL, United States of America.
Kimberly SullivanDepartment of Environmental Health, Boston University School of Public Health, Boston, MA, United States of America.
Jean J LatimerAutoNation Institute for Breast Cancer Research, Fort Lauderdale, FL, United States of America; Department of Pharmaceutical Sciences, College of Pharmacy, Nova Southeastern University, Fort Lauderdale, FL, United States of America.
Nova Southeastern University · USAutoNation (United States) · USBoston University · US

Funding

Project SEAMIST (South East Area Maritime Industry Safety Training)U45ES019350 · NIEHS · NOVA SOUTHEASTERN UNIVERSITY · PI Darren Cohen · 2010 to 2026
$10.4M
DNA REPAIR AND BREAST CANCERR29CA071894 · NCI · MAGEE-WOMEN'S RES INST AND FOUNDATION · PI LATIMER, JEAN J · 1997 to 2001
$212k
NCI NIH HHS R29 CA071894NIEHS NIH HHS U45 ES019350
6 · The paper itself

Abstract

aimsGulf War illness (GWI) is thought to be associated with exposures experienced by soldiers deployed in the 1991 Gulf War. A major question is how these exposures continue to influence the health of these individuals three decades later. One potentially permanent effect of such exposures is the induction of genetic mutations. We investigated whether veterans with GWI exhibited persistently elevated levels of somatic mutation. MATERIALS AND

methodsWe applied the blood-based glycophorin A (GPA) somatic mutation assay to a cohort of veterans diagnosed with GWI and a set of both concurrent and historic age-matched controls. This assay quantifies red blood cells with a phenotype consistent with loss of one allele at the genetic determinant for the MN blood group, the GPA gene. KEY

findingsAs a population, those affected with GWI exhibited an uninduced mutation frequency at the GPA locus that was effectively twice that observed in controls, a result that was statistically significant. This result was influenced by an increase in the incidence of individuals with aberrantly high mutation frequencies, seemingly higher than would be expected by dose extrapolation and consistent with the induction of localized genomic instability in the hematopoietic bone marrow stem cells. When these "outliers" were removed from consideration, the remaining affected population retained a significantly higher mean allele loss mutation frequency, suggesting that both dose-dependent bone marrow genotoxicity and induction of genomic instability are contributing to the elevation in mutation frequency in these affected veterans. SIGNIFICANCE: This study provides evidence that manifestation of GWI is associated with increased cumulative exposure to agents capable of inducing persistent mutations in bone marrow stem cells. Whether these mutations are involved in the clinical aspects of the condition or are simply biomarkers of overall exposure has yet to be determined. The increased incidence of genomic instability suggests that this persistent mutation can have important delayed effects on cellular integrity.

Indexed as

Genomic InstabilityMutationVeteransCase-Control StudiesGlycophorinsHumansMalePersian Gulf SyndromeGlycophorinsGYPA protein, humanAllele lossCumulative genotoxicityGlycophorin AMixed exposures

Identifiers

PMID34181965
PMCPMC12070809
OpenAlexW3176931993

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Registered trials

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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.