To investigate cigarette smoking's relevance with cervical disc degeneration. We randomly selected 320 patients who came to our spine disease department outpatient clinic with chief complaint of neck-shoulder pain during June 2014-June 2016. According to the detailed smoking history, these patients were divided into 3 different groups, which were active smoker group (AS), passive smoking group (PS) and never-smoker group (NS). Each patient's Miyazaki's magnetic resonance imaging (MRI) classification of cervical disc degeneration was analyzed based on their cervical MRI films. In addition, VAS scores were applied to evaluate the degree of patients' neck-shoulder pain. With the help of statistical techniques, relevance between cigarette smoking, cervical disc degeneration and neck-shoulder pain were analyzed. In the NS group, the overall Miyazaki score, especially for C2/3, C3/4, C5,6 segments, are superior to those in the PS group, in addition, the Miyazaki scores for C1/2 - C6/7 segments in NS group beat the same segments in AS group with statistical significance (P < 0.05). In the AS and PS group, discs from C4/5 to C5/6 segments which score IV and V on Miyazaki classification account for a larger proportion than those discs from C1/2 to C3/4 segments with statistical significance (P < 0.05). In the AS group, male cases have larger proportion of Miyazaki level IV and V discs than female with statistical significance (P < 0.05). While in the AS and PS group, Miyazaki scores of patients whose smoking history ranges from 5 to 10 years are superior to those with smoking history longer than 10 years, with statistical significance (P < 0.05). In addition, VAS scores also vary among the three groups, in which, VAS scores in AS group are higher than those in the NS group. Smoking could accelerate the process of cervical disc degeneration, presenting with more severe neck-shoulder pain on the patients. In addition, the impact of smoking on the lower cervical discs is greater than the upper cervical discs.

Intervertebral disc degeneration (IDD) is considered the basis of serious clinical symptoms, especially for low back pain (LBP). Therefore, it is essential to explore the regulatory role and diagnostic performance of dysregulated genes and potential drugs in IDD. Through WGCNA co-expression analysis, 36 co-expression modules were obtained. Among them, MidnightBlue and Red modules were the most related to IDD. Functional enrichment analysis showed that the Red module was mainly related to neutrophil activation and regulation of cytokine-mediated signaling pathway and apoptosis, whereas the MidnightBlue module was mainly related to extracellular matrix organization, bone development, extracellular matrix, extracellular matrix component, and other extracellular matrices. Furthermore, 356 genes highly related to the module were screened to construct a protein interaction network. Network degree distribution analysis showed that the known IDD-related genes had a higher degree of distribution. Enrichment analysis demonstrated that these genes were enriched in MAPK_SIGNALING_PATHWAY (FDR = 0.012), CHEMOKINE_SIGNALING_PATHWAY, and some other pathways. By constructing a disease-gene interaction network, three disease-specific genes were finally identified. Through combining with the drug-target gene interaction network, two potential therapeutic drugs, entrectinib and larotrectinib, were determined. Finally, based on these genes, the diagnostic model in the training dataset, test dataset, and verification dataset all showed a high diagnostic performance. The findings of this study contributed to the diagnosis of IDD and personalized treatment of IDD.