Cohort Profile: The China Metal-Exposed Workers Cohort Study (Jinchang Cohort)

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Background: Occupational nickel exposure can cause DNA oxidative damage and influence DNA repair. However, the underlying mechanism of nickel-induced high-risk of lung cancer has not been fully understood. Our study aims to evaluate whether the nickel-induced oxidative damage and DNA repair were correlated with the alterations in Smad2 phosphorylation status and Nkx2.1 expression levels, which has been considered as the lung cancer initiation gene. Methods: 140 nickel smelters and 140 age-matched administrative officers were randomly stratified by service length from Jinchang Cohort. Canonical regression, χ2 test, Spearman correlation etc. were used to evaluate the association among service length, MDA, 8-OHdG, hOGG1, PARP, pSmad2, and Nkx2.1. Results: The concentrations of MDA, PARP, pSmad2, and Nkx2.1 significantly increased. Nkx2.1 (rs = 0.312, p < 0.001) and Smad2 phosphorylation levels (rs = 0.232, p = 0.006) were positively correlated with the employment length in nickel smelters, which was not observed in the administrative officer group. Also, elevation of Nkx2.1 expression was positively correlated with service length, 8-OHdG, PARP, hOGG1 and pSmad2 levels in nickel smelters. Conclusions: Occupational nickel exposure could increase the expression of Nkx2.1 and pSmad2, which correlated with the nickel-induced oxidative damage and DNA repair change.

Section: Methodsmentioning

confidence: 99%

The Relationship between Nkx2.1 and DNA Oxidative Damage Repair in Nickel Smelting Workers: Jinchang Cohort Study

Cheng

Shi

et al. 2019

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“…The Jinchang cohort study is an ongoing prospective population-based cohort study. The design and methods of the Jinchang cohort study have been detailed elsewhere [ 20 ]. Briefly, the baseline survey was conducted from June 2011 to December 2015 and included 48,001 participants (61.7% men, 38.3% female).…”

Section: Methodsmentioning

confidence: 99%

“…Due to emissions of industrial pollutants and climate arid problems, the air quality in Jinchang is more serious. So, based on the platform of Jinchang cohort study, which has been established in 2011 [ 20 ], we aim to investigate the effects of short-term exposure to air pollution (PM 10 , SO 2 and NO 2 ) on the level of TG, TC, HDL-C and LDL-C among type 2 diabetes patients.…”

Section: Introductionmentioning

confidence: 99%

Association between Short-Term Exposure to Air Pollution and Dyslipidemias among Type 2 Diabetic Patients in Northwest China: A Population-Based Study

Wang

Zheng

Nie

et al. 2018

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Air pollution exposure may play an adverse role in diabetes. However, little data are available directly evaluating the effects of air pollution exposure in blood lipids of which dysfunction has been linked to diabetes or its complications. We aimed to evaluate the association between air pollution and lipids level among type 2 diabetic patients in Northwest China. We performed a population-based study of 3912 type 2 diabetes patients in an ongoing cohort study in China. Both spline and multiple linear regressions analysis were used to examine the association between short-term exposure to PM10, SO2, NO2 and total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C). By spline analyses, we observed that the relationship between SO2 and HDL-C and LDL-C was shown to be non-linear (p_non-lin-association = 0.0162 and 0.000). An inverted U-shaped non-linear relationship between NO2 and LDL-C was found (p_non-lin-association < 0.0001). A J-shaped non-linear relationship between PM10 and TC, HDL-C (p_non-lin-association = 0.0173, 0.0367) was also revealed. In linear regression analyses, a 10 μg/m3 increment in SO2 was associated with 1.31% (95% CI: 0.40–2.12%), 3.52% (95% CI: 1.07–6.03%) and 7.53% (95% CI: 5.98–9.09%) increase in TC, TG and LDL-C, respectively. A 10 μg/m3 increment in PM10 was associated with 0.45% (95% CI: 0.08–0.82%), 0.29% (95% CI: 0.10–0.49%) and 0.83% (95% CI: 0.21–1.45%) increase in TC, HDL-C and LDL-C, respectively. For NO2, an increment of 10 μg/m3 was statistically associated with −3.55% (95% CI: −6.40–0.61%) and 39.01% (95% CI: 31.43–47.03%) increase in HDL-C and LDL-C. The adverse effects of air pollutants on lipid levels were greater in female and elder people. Further, we found SO2 and NO2 played a more evident role in lipid levels in warm season, while PM10 appeared stronger in cold season. The findings suggest that exposure to air pollution has adverse effects on lipid levels among type 2 diabetes patients, and vulnerable people may pay more attention on severe air pollution days.

“…This study used the baseline data of the Jinchang Cohort Study, which is an ongoing prospective cohort study with workers that are engaged in mining, concentrating, metallurgy and deep processing [ 23 ]. The Jinchang Cohort Study is a collaborative study between Lanzhou University, Workers’ Hospital of JNMC, National Cancer Center of China and Brown University [ 19 ]. There are about 45,000 workers employed at the JNMC, including both in-service and retirees.…”

Section: Methodsmentioning

confidence: 99%

“…This study was based on data obtained from Jinchang Cohort Study. Jinchuan Group Co., Ltd. (JNMC) is the large mining group in China, with approximately 45,000 workers [ 19 ]. The company is the third largest nickel and second largest cobalt manufacturing enterprise in the world, and more than 90% of the nickel-group metals in China come from the company [ 20 ].…”

Section: Introductionmentioning

confidence: 99%

Reproductive Factors and Risk of Spontaneous Abortion in the Jinchang Cohort

Miao

Bai

et al. 2018

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The aim of this study was to investigate the association between female reproductive status and risk of spontaneous abortion among female workers in the Jinchang Cohort. This study used data obtained from a baseline survey of the Jinchang Cohort Study of female workers in Jinchang Industry, the largest nickel production company in China. A standardized, structured questionnaire was used to collect the health status of 18,834 female workers employed by the company from 2011 to 2013. Spearman grade correlation analysis and logistic regression models were used to evaluate the association between female reproductive status and risk of spontaneous abortion. The incidence rate of spontaneous abortion was 6.89%, and fatigue was associated with the risk of spontaneous abortion. The number of pregnancies, age at primary birth and age at the last pregnancy were associated with an increased risk of spontaneous abortion (rs = 0.190, p = 0.000; rs = 0.092, p = 0.000; rs = 0.061, p = 0.000; respectively). In addition, there was a negative correlation between the number of artificial abortions and spontaneous abortions (rs = −0.129, p = 0.000). Female reproductive status was associated with an increased risk of spontaneous abortion in this cohort. More studies are needed to confirm this observed association.