Dataset for Cytokine Signature Clusters as a Tool to Compare Changes associated with Tobacco Product Use in Upper and Lower Airway Samples

Cytokine data were derived from nasal lavage fluid (NLF), nasal epithelial lining fluid (NELF), sputum, and circulating serum samples collected from 14 non-smokers, 13 cigarette smokers, and 17 e-cigarette users. Cytokine profiles were evaluated for correlation across compartments in paired samples. An unsupervised machine learning approach was utilized to assess whether cluster-based analyses could yield more sensitivity than individual cytokine comparisons when determining differences between compartments and tobacco use groups.