Screening of environmental chemicals to characterize exposures in participants with Systemic Lupus Erythematosus

Author:

Lanata Cristina M.1ORCID,Taylor Kimberly E.2,Hurst‐Hopf James3,Nititham Joanne1,Blazer Ashira4,Trupin Laura2,Katz Patricia2ORCID,Dall'Era Maria2,Yazdany Jinoos2ORCID,Chung Sharon A.2ORCID,Abrahamsson Dimitri5,Gerona Roy6,Criswell Lindsey A.1

Affiliation:

1. National Human Genome Research Institute, National Institutes of Health Bethesda MD USA

2. Russell/Engelman Rheumatology Research Center, Division of Rheumatology, Department of Medicine University of California San Francisco USA

3. Seer Redwood City US

4. Weil Cornell Department of Medicine Division of Rheumatology, Hospital for Special Surgery New York NY USA

5. Department of Pediatrics NYU Grossman School of Medicine New York USA

6. Center for Reproductive Sciences, Department of Obstetrics, Gynecology and Reproductive Sciences University of California San Francisco USA

Abstract

ObjectiveThere is a need to characterize exposures associated with the pathogenesis of systemic lupus erythematosus (SLE). In this pilot study, we explore a hypothesis‐free approach that can measure thousands of exogenous chemicals in blood (“exposome”) in patients with SLE and unaffected controls.MethodsThis cross‐sectional study analyzed a cohort of prevalent SLE cases (n=285) and controls (n=106). Plasma was analyzed by liquid chromatography‐quadrupole time‐of‐flight mass spectrometry (LC‐QTOF/MS). Mass spectrometry features present in at least 25% of all samples were selected for association analysis (n=2,737). Features were matched to potential chemicals utilizing available databases. Association analysis of abundances of features with SLE status was performed, adjusting for age and sex. We also explored features associated with SLE phenotypes, sociodemographic factors, and current medication use.ResultsWe found 30 features significantly associated with SLE status (Bonferroni p<0.05). Of these, 7 matched chemical names based on databases. These seven features included phthalate metabolites, a formetanate metabolite, and eugenol. The abundance of acid pesticides differed between SLE cases and controls (Bonferroni p<0.05). Two unmatched features were associated with a history of lupus nephritis, and one with anti‐double‐stranded DNA antibody production (Bonferroni p< 0.05). Seventeen features varied by self‐reported race and ethnicity, including a polyfluoroalkyl substance (ANOVA p < 1.69E‐05). Eleven features correlated with antimalarials, 6 with mycophenolate mofetil, and 29 with prednisone use.ConclusionThis proof‐of‐concept study demonstrates that LC‐QTOF/MS is a powerful tool that agnostically detects circulating exogenous compounds. These analyses can generate hypotheses of disease‐related exposures for future prospective, longitudinal studies.image

Publisher

Wiley

Subject

Immunology,Rheumatology,Immunology and Allergy

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