1. Serum peptidome: diagnostic window into pathogenic processes following occupational exposure to carbon nanomaterials
- Author
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Mary K. Schubauer-Berigan, Matthew M. Dahm, Aaron Erdely, Andrew K. Ottens, Tracy Eye, Matthew J. Campen, Ekaterina Mostovenko, and Tamara L. Young
- Subjects
Health, Toxicology and Mutagenesis ,Carbon nanotubes ,Nanofibers ,Systemic health ,Toxicology ,Health outcomes ,Cardiovascular ,Carbon nanofibers ,RA1190-1270 ,Occupational Exposure ,Medicine ,Humans ,Industry ,Peptidomics ,Nanotoxicology ,Carbon nanomaterials ,Nanomaterials ,Mass spectrometry ,business.industry ,Nanotubes, Carbon ,Research ,Industrial setting ,Membrane Proteins ,Diagnostic marker ,General Medicine ,HD7260-7780.8 ,Occupational ,ADAM Proteins ,Toxicology. Poisons ,Immunology ,Biomarker (medicine) ,Industrial hygiene. Industrial welfare ,Vascular pathology ,Occupational exposure ,business ,Biomarkers - Abstract
Background Growing industrial use of carbon nanotubes and nanofibers (CNT/F) warrants consideration of human health outcomes. CNT/F produces pulmonary, cardiovascular, and other toxic effects in animals along with a significant release of bioactive peptides into the circulation, the augmented serum peptidome. While epidemiology among CNT/F workers reports on few acute symptoms, there remains concern over sub-clinical CNT/F effects that may prime for chronic disease, necessitating sensitive health outcome diagnostic markers for longitudinal follow-up. Methods Here, the serum peptidome was assessed for its biomarker potential in detecting sub-symptomatic pathobiology among CNT/F workers using label-free data-independent mass spectrometry. Studies employed a stratified design between High (> 0.5 µg/m3) and Low (3) inhalable CNT/F exposures in the industrial setting. Peptide biomarker model building and refinement employed linear regression and partial least squared discriminant analyses. Top-ranked peptides were then sequence identified and evaluated for pathological-relevance. Results In total, 41 peptides were found to be highly discriminatory after model building with a strong linear correlation to personal CNT/F exposure. The top-five peptide model offered ideal prediction with high accuracy (Q2 = 0.99916). Unsupervised validation affirmed 43.5% of the serum peptidomic variance was attributable to CNT/F exposure. Peptide sequence identification reveals a predominant association with vascular pathology. ARHGAP21, ADAM15 and PLPP3 peptides suggest heightened cardiovasculature permeability and F13A1, FBN1 and VWDE peptides infer a pro-thrombotic state among High CNT/F workers. Conclusions The serum peptidome affords a diagnostic window into sub-symptomatic pathology among CNT/F exposed workers for longitudinal monitoring of systemic health risks. Graphical abstract
- Published
- 2021