Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

“…Proteomics identified proteins that change with the progression of CWP, with significant enrichment in the TGF-β signaling pathway and autoimmune disease pathways. …”

Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

“…Proteomics identified proteins that change with the progression of CWP, with significant enrichment in the TGF-β signaling pathway and autoimmune disease pathways. …”

Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

“…Proteomics identified proteins that change with the progression of CWP, with significant enrichment in the TGF-β signaling pathway and autoimmune disease pathways. …”

Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

“…Proteomics identified proteins that change with the progression of CWP, with significant enrichment in the TGF-β signaling pathway and autoimmune disease pathways. …”

Proteomics and Metabolomics Analyses Reveal a Dynamic Landscape of Coal Workers’ Pneumoconiosis: An Insight into Disease Progression by Yangyang Wei (436909)

“…Proteomics identified proteins that change with the progression of CWP, with significant enrichment in the TGF-β signaling pathway and autoimmune disease pathways. …”

Time series comparing trends at HSJ and control hospitals in the pre-intervention and intervention period. Significance test determine if trends differ between groups. by Eva Rydahl (6260771)

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Smoking Behaviors of the participants categorized by the respective year. by Jae Yeon Jeong (11979030)

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Drinking Behaviors of the male participants categorized by the respective year. by Jae Yeon Jeong (11979030)

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Predictions of Age-Standardized Rate of burden caused by fire, heat and hot substances for different sexes in 2030 based on the Bayesian Age-Period-Cohort model. by Shi Huang (125861)

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Frontier Analysis: Countries with high potential for improvement in the burden of injuries caused by fire, heat, and hot substances in 2021. by Shi Huang (125861)

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Drinking Behaviors of the participants categorized by the respective year. by Jae Yeon Jeong (11979030)

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Sleep and Mental health of the participants categorized by the respective year. by Jae Yeon Jeong (11979030)

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The burden forecast of injuries caused by fire, heat, and hot substances for 2021–2030. by Shi Huang (125861)

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General characteristics of the participants categorized by the respective year. by Jae Yeon Jeong (11979030)

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The burden of injuries caused by fire, heat and hot substances in female and male across 22 GBD regions. by Shi Huang (125861)

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Burden of injuries caused by fire, heat, and substances in Disability-Adjusted Life Years, Years of Life Lost and Years Lived with Disability between 1990 and 2021. by Shi Huang (125861)

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Age-Standardized Rate of injuries caused by fire, heat and hot substances in 22 GBD regions with varying Social-Demographic Index globally from 1990 to 2021. by Shi Huang (125861)

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Frontier analysis of injuries’ burden caused by fire, heat, and hot substances from 1990 to 2021. by Shi Huang (125861)

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Difference in drinking, smoking, and suicidal ideation by year. by Jae Yeon Jeong (11979030)

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Graph of successive trends in the burden of injury caused by fire, heat and hot substances between 1990 and 2021. by Shi Huang (125861)

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