Abstract
Objective
Occupational exposure to respirable crystalline silica (cSiO2) has been linked to lupus development. Previous studies in young lupus-prone mice revealed that intranasal cSiO2 exposure triggered autoimmunity, preventable with docosahexaenoic acid (DHA). This study explores cSiO2 and DHA effects in mature lupus-prone adult mice, more representative of cSiO2-exposed worker age.
Methods
Female NZBWF1 mice (14-week old) were fed control (CON) or DHA-supplemented diets. After two weeks, mice were intranasally instilled saline (VEH) or 1 mg cSiO2 weekly for four weeks. Cohorts were then analyzed 1- and 5-weeks postinstillation for lung inflammation, cell counts, chemokines, histopathology, B- and T-cell infiltration, autoantibodies, and gene signatures, with results correlated to autoimmune glomerulonephritis onset.
Results
VEH/CON mice showed no pathology. cSiO2/CON mice displayed significant ectopic lymphoid tissue formation in lungs at 1 week, increasing by 5 weeks. cSiO2/CON lungs exhibited elevated cellularity, chemokines, CD3+ T-cells, CD45R + B-cells, IgG + plasma cells, gene expression, IgG autoantibodies, and glomerular hypertrophy. DHA supplementation mitigated all these effects.
Discussion
The mature adult NZBWF1 mouse used here represents a life-stage coincident with immunological tolerance breach and one that more appropriately represents the age (20–30 yr) of cSiO2-exposed workers. cSiO2-induced robust pulmonary inflammation, autoantibody responses, and glomerulonephritis in mature adult mice, surpassing effects observed previously in young adults. DHA at a human-equivalent dosage effectively countered cSiO2-induced inflammation/autoimmunity in mature mice, mirroring protective effects in young mice.
Conclusion
These results highlight life-stage significance in this preclinical lupus model and underscore omega-3 fatty acids’ therapeutic potential against toxicant-triggered autoimmune responses.
Acknowledgments
The authors thank Amy Porter of the Michigan State University Laboratory for Investigative Histopathology for their assistance with histotechnology. The authors also thank Dr. Kevin Childs and the Research Technology Support Genomics Core Facility for processing samples using the NanoString nCounter Analysis System.
Author contributions
LH: study design, coordination, feeding study, necropsy, data curation, data analysis/interpretation, figure preparation, manuscript preparation, and submission; TS: morphometric analysis, data acquisition and interpretation; JW: study design, necropsy, lab analysis; RL: instillations, necropsy, lab analysis; AB: data procurement and statistical analysis; AS: morphometric analysis; AT: animal handling, urinalysis; JH: study design, oversight, lung/kidney histopathology, morphometry, data analysis, manuscript preparation; JP: study design, oversight, funding acquisition, data analysis, manuscript preparation.
Disclosure statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Data availability statement
Original NanoString normalized linear counts and statistical analyses from the NanoString autoimmune profiling panel, and a summary of statistical analyses are available at Dryad. https://doi.org/10.5061/dryad.2280gb5vx.