Skip to main content

Gulf war illness: a tale of two genomes

Abstract

Introduction

Gulf War illness (GWI) is an environmentally-triggered chronic multisymptom illness typified by protean symptoms, in which mitochondrial impairment is evident. It has been likened to accelerated aging. Nuclear genetics of detoxification have been linked to GWI.

Objective

To see whether mitochondrial (mt) haplogroup U – a heritable profile of mitochondrial DNA that has been tied to aging-related conditions – significantly predicts greater GWI severity; and to assess whether GWI severity is influenced by mitochondrial as well as nuclear genetics. 54 consenting Gulf War veterans gave information on GWI severity, of whom 52 had nuclear DNA assessment; and 45 had both nuclear and mitochondrial DNA assessments. Regression with robust standard errors assessed prediction of GWI severity as a function of nuclear genetics (butyrylcholinesterase variants), mitochondrial genetics (haplogroup U, previously tied to aging-related conditions); or both.

Results

BChE “adverse” variants significantly predicted GWI severity (β(SE) = 23.4(11.4), p = 0.046), as did mt haplogroup U (β(SE) = 36.4(13.6), p = 0.010). In a model including both, BChE was no longer significant, but mt haplogroup U retained significance (β(SE) = 36.7(13.0), p = 0.007). This is the first study to show that mitochondrial genetics are tied to GWI severity in Gulf-deployed veterans. Other data affirm a tie to nuclear genetics, making GWI indeed a “tale of two genomes.”

Peer Review reports

Introduction

Gulf War illness (GWI) is a chronic, multisymptom fatiguing illness affecting ~ 1/3 of the ~ 700,000 U.S. troops deployed to the 1990–1991 Gulf theater. It is linked to chemical exposures, including acetylcholinesterase inhibitors [1] – organophosphates and pyridostigmine bromide. Culpable exposures produce mitochondrial toxicity, and GWI clinical features implicate mitochondrial compromise: protean symptoms of high multiplicity spanning multiple domains, emphasizing post-mitotic organs with high energy demand (brain and muscle) and variable symptom onset latency. Evidence affirms impaired bioenergetics in patients with GWI [2], while animal models of GWI further affirm mitochondrial compromise [3]. Nuclear genetic variants impairing natural detoxification mechanisms have been tied to GWI [4], including reduced activity variants of butyrylcholinesterase (BChE) in those with relevant exposures [5].

Mitochondrial genetics also warrant study. The maternally-inherited mitochondrial genome has only 37 genes, 13 protein encoding, but all relate to mitochondrial energy production and have an outsized impact on conditions related to cell energy. Mitochondrial haplogroups are heritable mitochondrial DNA variants, some of which are reported risk factors for genetic and non-genetic diseases and conditions. GWI has been likened to accelerated aging [6], and both GWI and aging are thought to involve the interplay of mitochondrial compromise and oxidative stress. Mitochondrial (mt) haplogroup U holds special interest, having been tied to increased risk of aging-related conditions in which these mechanisms are implicated, including Alzheimer’s disease, age-related hearing loss, and age-related maculopathy [7]. Therefore, we hypothesized that mt haplogroup U could be tied to greater severity of GWI.

Materials and methods

The study was approved by the UC San Diego Human Research Protections Program, protocol number #151293. All participants gave written informed consent to participate. Of 54 consenting GWV who gave information on GWI severity, 52 had nuclear DNA assessment (23andMe), 47 had mitochondrial DNA assessment (GeneDx), and 45 had both. Each assessment of genetic prediction of GWI symptoms/severity employs the largest applicable sample (the maximum number of participants who underwent the requisite genetic assessments).

Nuclear DNA assessment: 23andMe version 5 genotyping employed Illumina’s Infinium Global Screening Array microarray platform, supplemented with ~ 50,000 variants of custom content [8]. Variant calling, by Illumina’s GenomeStudio software, employs probe intensities to assign genotypes to specific genetic variants. Reference SNP numbers (rs numbers) are assigned to each variant for unambiguous coding and provided by 23andMe to the investigator. All four BChE variants that contributed to the Steele 2015 analysis were available from 23andMe. No participants bore the F1 or F2 rare variants (rs28933389 and rs28933390) with respective U.S. minor allele frequencies of 0.083% and 0.47% [9]. One bore a copy of the atypical BChE variant (rs1799807) with estimated U.S. minor allele frequency of 1.6% [9]. The remaining slow-detoxifying variants came from the much more common K variant (rs1803274) with estimated U.S. minor allele frequency of ~ 20% [9], representing ~ 20% in our deployed and mostly Gulf War illness-affected sample.

Mitochondrial DNA assessment: Blood samples provided to GeneDx from participants underwent whole genome mitochondrial sequencing. Per GeneDx, mt haplogroup analysis was performed by GeneDx for each individual employing all homoplasmic mtDNA variants using an online tool. Phylotree.org was employed to “define the variants that determine haplogroup” [10]. “The average coverage (number of reads) for every nucleotide of the mitochondrial genome of a specific sample ranged from 5,000× to 25,000× for different samples, with a standard deviation of ≤ 10% of the average coverage. The coverage for nucleotide positions within 200 bp from the primer regions at the beginning and end of the mitochondrial genome could be lower due to removal of the primer sequences during alignment” [11].

GWI was characterized by CDC [12] and Kansas criteria [13]; and GWI severity was scored by the validated UCSD20 scale, which shows convergent validity with Kansas GWI criteria scores, physical function, general self-rated health, and correlates with impaired bioenergetics in veterans with GWI. BChE variant coding used Steele criteria [5] and was scored as 0, 1, or 2, and mt haplogroup U was scored as absent or present (0, 1). Regression with robust standard errors [14] assessed the prediction of GWI severity by mt haplogroup U and BChE variants separately, without and with adjustment for age. This was performed for all of the deployed participants, with subgroup analyses for males, whites, and white males – addressing the most common sex and ethnicity among those deployed. Regression then assessed prediction by mt haplogroup U adjusted for BChE genetic variants in these groups. Statistical output and database are available on request to the corresponding author.

Results

54 consenting Gulf War veterans gave information on GWI severity. The 52 who had nuclear DNA assessment form the cohort for this study. Of these, 45 also had mitochondrial DNA assessment. Table 1 shows participant characteristics of 52 deployed Gulf War veterans: Most veterans were male, and White ethnicity predominated. Most met CDC and Kansas GWI criteria (N = 43), though severity varied.

Table 1 Participant characteristics

Table 2 shows prediction of GWI severity by mt haplogroup U and by BChE score assessed separately – in each of the four groups, without and with age adjustment. Both mt haplogroup U and BChE variants were significant predictors in all four groups, without and with age adjustment. Mt haplogroup U retained significance in regressions adjusted for BChE (all eight analyses), though significance was not upheld for BChE in the combined model. (There was no significant relationship between haplogroup U and the BChE variable.) Mt haplogroup U is primarily evident in European descended/White individuals, so for mt haplogroup U assessments, greatest validity attaches to analyses restricted to Whites. (Mt haplogroup U does occur, at much lower frequencies, in West Asia, North Africa, and parts of Central Asia, but no non-White participant in our sample bore this haplogroup.)

Table 2 Prediction of GWI severity by haplogroup U and BChE

Discussion & limitations

Our data, for the first time, implicate mitochondrial genetics in GWI. This adds to the corpus of support for mitochondrial involvement in GWI, already bolstered by both animal [3, 15,16,17] and human [2, 18, 19] data. When assessed separately, the designated mitochondrial and nuclear genetic factors (mt haplogroup U and BChE variants) each significantly predicted GWI severity, and each sustained significance in dominant sex- and ethnicity-subgroups, with and without age adjustment. Significance of prediction was sustained for mt haplogroup U, though not for BChE, in a model adjusting for both.

Limitations of the study include the modest sample size, which precluded assessment of gene-environment interactions. The robustness of the mt haplogroup U finding in sensitivity analyses coupled with other evidence supporting mitochondrial involvement in GWI, as well as evidence implicating mt haplogroup U in other conditions involving mitochondrial and oxidative mechanisms, bolster confidence in the observed mt haplogroup U relationship. Significance despite the modest sample, underscores the large apparent effect magnitude. (Conversely, loss of BChE variant significance in the mt haplogroup U adjusted model might be rectified with a larger sample: BChE variants were previously implicated in GWI [5].) A different study would be needed to assess whether mt haplogroup U is associated with accelerated development of these symptoms (presumably at a materially lower level) in persons not deployed to the Gulf: As most of us receive accrued exposures over time, and aging is associated with increased development of symptoms over time, we anticipate that analogous associations (albeit with much lower typical symptom levels) would be expected to arise in the general population – although a different study design would be required to assess this. Authority of findings will rest on replication, ideally in a larger sample. If possible, future longitudinal studies should evaluate whether and how mitochondrial haplogroup relates to ongoing GWI progression.

Since mt haplogroup U has been linked to accelerated aging conditions of other types, a question might be, what is the interplay between mt haplogroup U and GWI – alternatively said, to what extent would mt haplogroup U alone lead to such symptoms in the absence of Gulf War participation? The data here focus on individuals who were deployed, but we do have dates of first GWI-related symptoms for those participants who meet criteria for GWI. Almost all participants developed symptoms in the 1990’s, when most were in their 20’s – well before typical advent of aging-related symptoms. (Note that time since service in the Gulf is consistent (within a year) for participants, since Gulf War service dates are defined as between end of July 1990 and end of July 1991.) Mechanisms of mitochondrial impairment and accelerated oxidative stress arise from Gulf-related exposures, exposures that are significantly tied to development of GWI; it makes sense that a biological substrate that is more vulnerable to impairment, on its own or arising from exposures, would magnify GWI severity, given this evidence.

In conclusion, findings support the importance of mitochondrial genetics in GWI, and affirm that GWI is indeed a “tale of two genomes.” Implications are likely to extend beyond GWI – with anticipated relevance both to conditions promoted by environmental toxins, and to those entailing impaired bioenergetics.

Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  1. Golomb BA. Acetylcholinesterase inhibitors and Gulf War illnesses. Proc Natl Acad Sci U S A. 2008;105(11):4295–300.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Golomb BA, Sanchez Baez R, Schilling JM, Dhanani M, Fannon MJ, Berg B et al. Mitochondrial impairment but not peripheral inflammation predicts greater Gulf War illness severity. Sci Rep. 2023;13(1):10739.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Nguyen H, Sahbaie P, Goba L, Sul J, Suzaki A, Clark JD, et al. Exposure to Gulf War illness-related agents leads to the development of chronic pain and fatigue. Life Sci. 2021;283:119867.

    Article  CAS  PubMed  Google Scholar 

  4. Haley RW, Kramer G, Xiao J, Dever JA, Teiber JF. Evaluation of a Gene-Environment Interaction of PON1 and low-level nerve Agent exposure with Gulf War Illness: a prevalence case-control study drawn from the U.S. Military Health Survey’s National Population Sample. Environ Health Perspect. 2022;130(5):57001.

    Article  PubMed  Google Scholar 

  5. Steele L, Lockridge O, Gerkovich MM, Cook MR, Sastre A. Butyrylcholinesterase genotype and enzyme activity in relation to Gulf War illness: preliminary evidence of gene-exposure interaction from a case-control study of 1991 Gulf War veterans. Environ Health. 2015;14:4.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Zundel CG, Krengel MH, Heeren T, Yee MK, Grasso CM, Janulewicz Lloyd PA et al. Rates of Chronic Medical conditions in 1991 Gulf War veterans compared to the General Population. Int J Environ Res Public Health. 2019;16(6).

  7. Jones MM, Manwaring N, Wang JJ, Rochtchina E, Mitchell P, Sue CM. Mitochondrial DNA haplogroups and age-related maculopathy. Arch Ophthalmol. 2007;125(9):1235–40.

    Article  PubMed  Google Scholar 

  8. Multhaup M, Kita R, Krock B, Eriksson N, Fontanillas P, Aslibekyan S et al. The science behind 23andMe’s Type 2 Diabetes report. 23andMe. 2019.

  9. Zhu GD, Dawson E, Huskey A, Gordon RJ, Del Tredici AL. Genetic testing for BCHE variants identifies patients at risk of prolonged neuromuscular blockade in response to Succinylcholine. Pharmgenomics Pers Med. 2020;13:405–14.

    CAS  PubMed  PubMed Central  Google Scholar 

  10. Carey L. Email communication from GeneDx dated November 14, 2023. 2023.

  11. Carey L. Email communication from GeneDx dated April 23, 2024. 2024.

  12. Fukuda K, Nisenbaum R, Stewart G, Thompson WW, Robin L, Washko RM, et al. Chronic multisymptom illness affecting Air Force veterans of the Gulf War. JAMA. 1998;280(11):981–8.

    Article  CAS  PubMed  Google Scholar 

  13. Steele L. Prevalence and patterns of Gulf War illness in Kansas veterans: association of symptoms with characteristics of person, place, and time of military service. Am J Epidemiol. 2000;152(10):992–1002.

    Article  CAS  PubMed  Google Scholar 

  14. White H. A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica. 1980;48:817–38.

    Article  Google Scholar 

  15. Shetty GA, Hattiangady B, Upadhya D, Bates A, Attaluri S, Shuai B, et al. Chronic oxidative stress, mitochondrial dysfunction, Nrf2 activation and inflammation in the Hippocampus Accompany Heightened systemic inflammation and oxidative stress in an animal model of Gulf War Illness. Front Mol Neurosci. 2017;10:182.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Ramirez-Sanchez I, Navarrete-Yañez V, Garate-Carrillo A, Loredo M, Lira-Romero E, Estrada-Mena J, et al. Development of muscle atrophy and loss of function in a Gulf-War illness model: underlying mechanisms. Sci Rep. 2020;10(1):14526.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Abdullah L, Evans JE, Joshi U, Crynen G, Reed J, Mouzon B, et al. Translational potential of long-term decreases in mitochondrial lipids in a mouse model of Gulf War Illness. Toxicology. 2016;372:22–33.

    Article  CAS  PubMed  Google Scholar 

  18. Koslik HJ, Hamilton G, Golomb BA. Mitochondrial dysfunction in Gulf War Illness revealed by 31Phosphorus magnetic resonance spectroscopy: a case-control study. PLoS ONE. 2014;9(3):e92887.

  19. Golomb BA, Han JH, Fung A, Berg BK, Miller BJ, Hamilton G. Bioenergetic impairment in Gulf War illness assessed via (31)P-MRS. Sci Rep. 2024;14(1):7418.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We thank Emily Nguyen for help recruiting and seeing study participants. We thank Anna Preger for earlier analyses related to this effort. We thank Eero Dinkeloo for assisting with an earlier phase of this effort. We thank the Gulf War veterans who kindly contributed to this effort.

Funding

This study was funded by the Department of Defense Congressionally Directed Medical Research Program GW130106. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Author information

Authors and Affiliations

Authors

Contributions

B.G. conceived and designed study, conducted initial analyses, and wrote the manuscript. R.K. conducted mitochondrial DNA evaluation, advised on implications, contributed to writing/revising manuscript. J.H. conducted and replicated analyses, checked data and tables against original printouts, contributed to writing, editing, revising manuscript, reference management, and submission. B.M. served as data manager, determined BChE coding against Steele coding. L.B. recruited and screened participants, ran most study visits securing data, contributed to revising manuscript. All authors reviewed the manuscript.

Corresponding author

Correspondence to Beatrice A. Golomb.

Ethics declarations

Ethics approval and consent to participate

The study was approved by the UC San Diego Human Research Protections Program, protocol number #151293. All procedures were performed in accordance with relevant guidelines and regulations. All participants gave written informed consent to participate.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Golomb, B.A., Kelley, R.I., Han, J.H. et al. Gulf war illness: a tale of two genomes. BMC Res Notes 17, 230 (2024). https://doi.org/10.1186/s13104-024-06871-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13104-024-06871-z

Keywords