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Establishing a Silicosis Rat Model via Exposure of Whole-Body to Respirable Silica

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Published on: October 28, 2022

A Multi-omics Framework Combining Genomics and Proteomics for Silicosis Prediction in Chinese Workers - Jiangsu

Furu Wang^1,2, Qianqian Gao², Chenjie Li¹

¹Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing City, Jiangsu Province, China.

China CDC Weekly

|June 4, 2026

Abstract

What Is Already Known About This Topic?:

Currently, the detection of silicosis relies on imaging and pulmonary function tests, which are effective only at identifying the advanced stages. Additionally, no effective protein biomarkers or genetic risk models exist for the early detection or targeted intervention of silicosis.

What Is Added By This Report?:

This study integrates genomics and proteomics to identify new genetic loci associated with susceptibility to silicosis. Using Mendelian randomization and protein quantitative trait loci (pQTL) analysis, 2 functionally significant genetic variants [rs6677666 (WLS) and rs2272528 (COL4A4)] and 5 protein biomarkers (MMP12, EGF, Gal_9, GZMA, and ICOSLG) mechanistically linked to silicosis pathogenesis were identified. A diagnostic causal protein risk score (CPRS) model was then constructed to provide a robust tool for early detection in high-risk populations.

What Are The Implications For Public Health Practice?:

These findings provide new insights into the early diagnosis of silicosis, and support the development of preventive and screening strategies for populations at risk, enhancing public health policies for the control and management of silicosis.

Keywords:

Mendelian randomization Predictive model Proteomics Silicosis

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