Screening of Serum Biomarkers of Coal Workers’ Pneumoconiosis by Metabolomics Combined with Machine Learning Strategy
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design and Subjects
2.2. Serum Sample Collection
2.3. Serum Metabolomics
2.4. Biomarker Screening by Machine Learning Strategy
2.5. Statistical Analysis
3. Results
3.1. The Characteristics of Subjects
3.2. Differential Metabolites between the CWP Case Group and Control Group
3.3. Pathway Analysis of Serum Metabolomics
3.4. Screening Potential Biomarkers of CWP
3.5. Effect of CWP Stage on the Biomarker Screening
3.6. Diagnostic Analysis of Potential Biomarkers for CWP
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Control Group (n = 120) | CWP Case Group (n = 150) | p | |
---|---|---|---|
Age (years) | 56.63 ± 3.03 | 69.02 ± 9.07 | <0.001 * |
Gender | |||
Male | 120 (100%) | 150 (100%) | |
Female | 0 | 0 | |
Smoking n (%) | <0.001 * | ||
Yes | 63 (52.5) | 125 (83.3) | |
No | 57 (47.5) | 25 (16.7) | |
Dinking n (%) | 0.934 | ||
Yes | 69 (57.5) | 87 (58.0) | |
No | 51 (42.5) | 63 (42.0) | |
Chronic disease n (%) | <0.001 * | ||
Yes | 51 (42.5) | 106 (70.7) | |
No | 69 (57.5) | 44 (29.3) | |
Pneumoconiosis stage n (%) | |||
1 | 94 (62.7) | ||
2 | 47 (31.3) | ||
3 | 9 (6.0) | ||
Working age (years) | 24.70 ± 8.48 | ||
Complication n (%) | |||
Tuberculosis | 19 (12.7) | ||
COPD | 32 (21.3) | ||
Chronic bronchitis | 56 (37.3) | ||
Two complications | 4 (2.7) | ||
No complication | 39 (26.0) |
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Chen, Z.; Shi, J.; Zhang, Y.; Zhang, J.; Li, S.; Guan, L.; Jia, G. Screening of Serum Biomarkers of Coal Workers’ Pneumoconiosis by Metabolomics Combined with Machine Learning Strategy. Int. J. Environ. Res. Public Health 2022, 19, 7051. https://doi.org/10.3390/ijerph19127051
Chen Z, Shi J, Zhang Y, Zhang J, Li S, Guan L, Jia G. Screening of Serum Biomarkers of Coal Workers’ Pneumoconiosis by Metabolomics Combined with Machine Learning Strategy. International Journal of Environmental Research and Public Health. 2022; 19(12):7051. https://doi.org/10.3390/ijerph19127051
Chicago/Turabian StyleChen, Zhangjian, Jiaqi Shi, Yi Zhang, Jiahe Zhang, Shuqiang Li, Li Guan, and Guang Jia. 2022. "Screening of Serum Biomarkers of Coal Workers’ Pneumoconiosis by Metabolomics Combined with Machine Learning Strategy" International Journal of Environmental Research and Public Health 19, no. 12: 7051. https://doi.org/10.3390/ijerph19127051