Metabolic linkages between zinc exposure and lung cancer risk: A nested case-control study

被引:13
作者
Bai, Yansen [1 ,2 ,4 ]
Cao, Qiang [1 ]
Guan, Xin [1 ]
Meng, Hua [1 ]
Feng, Yue [1 ]
Wang, Chenming [1 ]
Fu, Ming [1 ]
Hong, Shiru [1 ]
Zhou, Yuhan [1 ]
Yuan, Fangfang [1 ]
Zhang, Xiaomin [1 ]
He, Meian [1 ]
Guo, Huan [1 ,3 ]
机构
[1] Huazhong Univ Sci & Technol, Tongji Med Coll, Sch Publ Hlth, Dept Occupat & Environm Hlth,State Key Lab Environ, Wuhan 430030, Peoples R China
[2] Guangzhou Med Univ, Inst Chem Carcinogenesis, Guangzhou 511436, Peoples R China
[3] Huazhong Univ Sci & Technol, Tongji Med Coll, Sch Publ Hlth, Dept Occupat & Environm Hlth, 13 Hangkong Rd, Wuhan 430030, Hubei, Peoples R China
[4] Guangzhou Med Univ, State Key Lab Resp Dis, Guangzhou 511436, Peoples R China
关键词
Zinc; Metabolomics; Lung cancer; Nested case-control study; BIOMARKERS; SPHINGOMYELIN; COPPER;
D O I
10.1016/j.scitotenv.2022.155796
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Epidemiologic studies have suggested that elevated concentrations of zinc are associated with a decreased risk of lung cancer, but the underlying mechanisms remain to be investigated. The metabolites are highly sensitive to environmental stress, which will help to reveal the linkages between zinc exposure and lung cancer risk. We designed a nested case control study including 101 incident lung cancer cases and 1:2 age-and sex-frequency-matched 202 healthy controls from the Dongfeng-Tongji (DFTJ) cohort. Their plasma level of zinc was determined by using inductively coupled plasma-mass spectrometry (ICP-MS) and plasma profiles of metabolites were detected by using an untargeted metabolomics approach. The generalized linear models (GLM) were applied to assess the associations of plasma zinc with metabolites, and the mediation effects of zinc-related metabolites on zinc-lung cancer association were further testified. The concentrations of 55 metabolites had linear dose-response relationships with plasma zinc at a false discovery rate (FDR) < 0.05, among which L-proline, phosphatidylcholine (PC, 34:2), phosphatidylethanolamine (PE, O-36:5), L-altrose, and sphingomyelin (SM, 40:3) showed different levels between lung cancer cases and healthy controls (fold change = 0.92, 0.95, 1.07, 0.90, and 1.08, respectively, and all P < 0.05). The plasma concentration of SM (40:3) was negatively associated with incident risk of lung cancer [OR(95%CI) = 0.71(0.55, 0.91), P = 0.007] and could mediate 41.7% of the association between zinc and lung cancer risk (P = 0.004). Moreover, compared to the traditional factors, addition of SM(40:3) exerted improved prediction performance for incident risk of lung cancer [AUC(95%CIs) = 0.714(0.654, 0.775) vs. 0.663(0.600, 0.727), P = 0.030]. Our findings revealed metabolic profiles with zinc exposure and provide new insight into the alternations of metabolites underpinning the links between zinc exposure and lung cancer development.
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页数:10
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