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Abdullah L, Nkiliza A, Niedospial D, Aldrich G, Bartenfelder G, Keegan A, Hoffmann M, Mullan M, Klimas N, Baraniuk J, Crawford F, Krengel M, Chao L, Sullivan K. Genetic association between the APOE ε4 allele, toxicant exposures and Gulf war illness diagnosis. Environ Health 2023; 22:51. [PMID: 37415220 PMCID: PMC10324249 DOI: 10.1186/s12940-023-01002-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 06/28/2023] [Indexed: 07/08/2023]
Abstract
INTRODUCTION Exposure to nerve agents, pyridostigmine bromide (PB), pesticides, and oil-well fires during the 1991 Gulf War (GW) are major contributors to the etiology of Gulf War Illness (GWI). Since the apolipoprotein E (APOE) ε4 allele is associated with the risk of cognitive decline with age, particularly in the presence of environmental exposures, and cognitive impairment is one of the most common symptoms experienced by veterans with GWI, we examined whether the ε4 allele was associated with GWI. METHODS Using a case-control design, we obtained data on APOE genotypes, demographics, and self-reported GW exposures and symptoms that were deposited in the Boston Biorepository and Integrative Network (BBRAIN) for veterans diagnosed with GWI (n = 220) and healthy GW control veterans (n = 131). Diagnosis of GWI was performed using the Kansas and/or Center for Disease Control (CDC) criteria. RESULTS Age- and sex-adjusted analyses showed a significantly higher odds ratio for meeting the GWI case criteria in the presence of the ε4 allele (Odds ratio [OR] = 1.84, 95% confidence interval [CI = 1.07-3.15], p ≤ 0.05) and with two copies of the ε4 allele (OR = 1.99, 95% CI [1.23-3.21], p ≤ 0.01). Combined exposure to pesticides and PB pills (OR = 4.10 [2.12-7.91], p ≤ 0.05) as well as chemical alarms and PB pills (OR = 3.30 [1.56-6.97] p ≤ 0.05) during the war were also associated with a higher odds ratio for meeting GWI case criteria. There was also an interaction between the ε4 allele and exposure to oil well fires (OR = 2.46, 95% CI [1.07-5.62], p ≤ 0.05) among those who met the GWI case criteria. CONCLUSION These findings suggest that the presence of the ε4 allele was associated with meeting the GWI case criteria. Gulf War veterans who reported exposure to oil well fires and have an ε4 allele were more likely to meet GWI case criteria. Long-term surveillance of veterans with GWI, particularly those with oil well fire exposure, is required to better assess the future risk of cognitive decline among this vulnerable population.
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Affiliation(s)
- L Abdullah
- Roskamp Institute, Sarasota, FL, USA.
- James A. Haley VA Hospital, Tampa, FL, USA.
| | - A Nkiliza
- James A. Haley VA Hospital, Tampa, FL, USA
| | | | - G Aldrich
- Roskamp Institute, Sarasota, FL, USA
- James A. Haley VA Hospital, Tampa, FL, USA
| | | | - A Keegan
- Roskamp Institute, Sarasota, FL, USA
| | | | - M Mullan
- Roskamp Institute, Sarasota, FL, USA
| | - N Klimas
- Nova Southeastern University, Ft Lauderdale, FL, USA
- Miami VA Medical Center GRECC, Miami, FL, USA
| | - J Baraniuk
- Department of Medicine, Georgetown University, Washington, DC, USA
| | - F Crawford
- Roskamp Institute, Sarasota, FL, USA
- James A. Haley VA Hospital, Tampa, FL, USA
| | - M Krengel
- Boston University School of Medicine, Boston, MA, USA
| | - L Chao
- University of California, San Francisco, CA, USA
| | - K Sullivan
- Boston University School of Public Health, Boston, MA, USA
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Keating D, Zundel CG, Abreu M, Krengel M, Aenlle K, Nichols MD, Toomey R, Chao LL, Golier J, Abdullah L, Quinn E, Heeren T, Groh JR, Koo BB, Killiany R, Loggia ML, Younger J, Baraniuk J, Janulewicz P, Ajama J, Quay M, Baas PW, Qiang L, Conboy L, Kokkotou E, O'Callaghan JP, Steele L, Klimas N, Sullivan K. Boston biorepository, recruitment and integrative network (BBRAIN): A resource for the Gulf War Illness scientific community. Life Sci 2021; 284:119903. [PMID: 34453948 DOI: 10.1016/j.lfs.2021.119903] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 07/31/2021] [Accepted: 08/17/2021] [Indexed: 12/26/2022]
Abstract
AIMS Gulf War Illness (GWI), a chronic debilitating disorder characterized by fatigue, joint pain, cognitive, gastrointestinal, respiratory, and skin problems, is currently diagnosed by self-reported symptoms. The Boston Biorepository, Recruitment, and Integrative Network (BBRAIN) is the collaborative effort of expert Gulf War Illness (GWI) researchers who are creating objective diagnostic and pathobiological markers and recommend common data elements for GWI research. MAIN METHODS BBRAIN is recruiting 300 GWI cases and 200 GW veteran controls for the prospective study. Key data and biological samples from prior GWI studies are being merged and combined into retrospective datasets. They will be made available for data mining by the BBRAIN network and the GWI research community. Prospective questionnaire data include general health and chronic symptoms, demographics, measures of pain, fatigue, medical conditions, deployment and exposure histories. Available repository biospecimens include blood, plasma, serum, saliva, stool, urine, human induced pluripotent stem cells and cerebrospinal fluid. KEY FINDINGS To date, multiple datasets have been merged and combined from 15 participating study sites. These data and samples have been collated and an online request form for repository requests as well as recommended common data elements have been created. Data and biospecimen sample requests are reviewed by the BBRAIN steering committee members for approval as they are received. SIGNIFICANCE The BBRAIN repository network serves as a much needed resource for GWI researchers to utilize for identification and validation of objective diagnostic and pathobiological markers of the illness.
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Affiliation(s)
- D Keating
- Boston University School of Public Health, Department of Environmental Health, 715 Albany St. T4W, Boston, MA 02118, USA.
| | - C G Zundel
- Boston University School of Medicine, Behavioral Neuroscience Program, 72 East Concord St., Boston, MA 02118, USA.
| | - M Abreu
- Dr. Kiran C. Patel College of Osteopathic Medicine, Institute for Neuroimmune Medicine, Nova Southeastern University, Fort Lauderdale, FL 33314, USA; Geriatric Research Education and Clinical Center, Miami VA Medical Center, Miami, FL 33125, USA.
| | - M Krengel
- Boston University School of Medicine, Department of Neurology, 72 East Concord St., Boston, MA 02118, USA.
| | - K Aenlle
- Dr. Kiran C. Patel College of Osteopathic Medicine, Institute for Neuroimmune Medicine, Nova Southeastern University, Fort Lauderdale, FL 33314, USA; Geriatric Research Education and Clinical Center, Miami VA Medical Center, Miami, FL 33125, USA.
| | - M D Nichols
- Boston University School of Public Health, Department of Environmental Health, 715 Albany St. T4W, Boston, MA 02118, USA
| | - R Toomey
- Department of Psychological and Brain Sciences, College of Arts and Sciences, Boston University, 900 Commonwealth Ave., Boston, MA, USA.
| | - L L Chao
- San Francisco Veterans Affairs Health Care System, University of California, San Francisco, CA 94143, USA.
| | - J Golier
- James J. Peters VA Medical Center, OOMH-526, 130 West Kingsbridge Road, Bronx, NY 10468, USA; Psychiatry Department, Icahn School of Medicine at Mount Sinai, 1428 Madison Ave, New York, NY 10029, USA.
| | - L Abdullah
- Roskamp Institute, 2040 Whitfield Ave, Sarasota, FL 34243, USA; Open University, Milton Keynes, United Kingdom; James A. Haley Veterans' Hospital, Tampa, FL, USA.
| | - E Quinn
- Boston University School of Public Health, Department of Biostatistics, 715 Albany St., Boston, MA 02118, USA.
| | - T Heeren
- Boston University School of Public Health, Department of Biostatistics, 715 Albany St., Boston, MA 02118, USA.
| | - J R Groh
- Boston University School of Medicine, Behavioral Neuroscience Program, 72 East Concord St., Boston, MA 02118, USA.
| | - B B Koo
- Boston University School of Medicine, Department of Anatomy and Neurobiology, 72 East Concord St., Boston, MA 02118, USA.
| | - R Killiany
- Boston University School of Public Health, Department of Environmental Health, 715 Albany St. T4W, Boston, MA 02118, USA; Boston University School of Medicine, Department of Neurology, 72 East Concord St., Boston, MA 02118, USA; Boston University School of Medicine, Department of Anatomy and Neurobiology, 72 East Concord St., Boston, MA 02118, USA.
| | - M L Loggia
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.
| | - J Younger
- Neuroinflammation, Pain & Fatigue Lab, University of Alabama at Birmingham, Birmingham, AL, USA.
| | - J Baraniuk
- Department of Medicine, Georgetown University, Washington, DC, USA.
| | - P Janulewicz
- Boston University School of Public Health, Department of Environmental Health, 715 Albany St. T4W, Boston, MA 02118, USA.
| | - J Ajama
- Boston University School of Public Health, Department of Environmental Health, 715 Albany St. T4W, Boston, MA 02118, USA.
| | - M Quay
- Boston University School of Public Health, Department of Environmental Health, 715 Albany St. T4W, Boston, MA 02118, USA.
| | - P W Baas
- Drexel University College of Medicine, Department of Neurobiology and Anatomy, 2900 Queen Lane, Philadelphia, PA 19129, USA.
| | - L Qiang
- Drexel University College of Medicine, Department of Neurobiology and Anatomy, 2900 Queen Lane, Philadelphia, PA 19129, USA.
| | - L Conboy
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, USA.
| | - E Kokkotou
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, USA.
| | - J P O'Callaghan
- Health Effects Laboratory Division, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Morgantown, WV, USA.
| | - L Steele
- Baylor College of Medicine Neuropsychiatry Division, Department of Psychiatry and Behavioral Sciences, Houston, TX 77030, USA.
| | - N Klimas
- Dr. Kiran C. Patel College of Osteopathic Medicine, Institute for Neuroimmune Medicine, Nova Southeastern University, Fort Lauderdale, FL 33314, USA; Geriatric Research Education and Clinical Center, Miami VA Medical Center, Miami, FL 33125, USA.
| | - K Sullivan
- Boston University School of Public Health, Department of Environmental Health, 715 Albany St. T4W, Boston, MA 02118, USA.
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Baraniuk J, Murray JJ, Nathan RA, Berger WE, Johnson M, Edwards LD, Srebro S, Rickard KA. Fluticasone alone or in combination with salmeterol vs triamcinolone in asthma. Chest 1999; 116:625-32. [PMID: 10492263 DOI: 10.1378/chest.116.3.625] [Citation(s) in RCA: 45] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
Abstract
OBJECTIVES To compare the efficacies of medium-dose fluticasone propionate (FP), medium-dose triamcinolone acetonide (TAA), and combined low-dose FP plus salmeterol (SL). DESIGN Randomized, double-blind, triple-dummy, multicenter, 12-week clinical trial. SETTING Allergy/respiratory care clinics. PATIENTS Six hundred eighty patients with asthma previously uncontrolled with low-dose inhaled corticosteroids. INTERVENTIONS FP, 220 microg bid; TAA, 600 microg bid; or FP, 88 microg plus SL, 42 microg bid. MEASUREMENTS AND RESULTS Outcome measures included FEV1, peak expiratory flow (PEF), supplemental albuterol use, nighttime awakenings, asthma symptoms, and physician global assessment. Compared with TAA, 600 microg bid, treatment with FP 220, microg bid, significantly increased FEV1, morning and evening PEF, and percent symptom-free days, and significantly reduced rescue albuterol use, number of nighttime awakenings, and overall asthma symptom scores (p < or = 0.035). Improvements with low-dose FP, 88 microg, plus SL, 42 microg bid, were significantly (p < or = 0.004) greater than TAA, 600 microg bid, in all the aforementioned efficacy measures as well as percent of rescue-free days. Combined low-dose FP, 88 microg, plus SL, 42 microg bid, also significantly increased FEV1 and percent of rescue-free days, and significantly reduced albuterol use compared with medium-dose FP, 220 microg bid (p < or = 0.018). At endpoint, both FP, 220 microg bid, and FP, 88 microg, plus SL, 42 microg bid, significantly increased FEV1 by 0.48 L and 0.58 L, respectively, compared with 0.34 L with TAA, 600 microg bid. CONCLUSION In patients who are symptomatic while taking low-dose inhaled corticosteroids, medium-dose FP (440 microg/d) and combination treatment with low-dose FP (176 microg/d) plus SL (84 microg/d) are both more effective than medium-dose TAA (1200 microg/d) in improving pulmonary function and asthma symptom control.
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Affiliation(s)
- J Baraniuk
- Division of Rheumatology, Immunology, and Allergy, Georgetown University Medical Center, Washington, DC 20007-2197, USA.
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