Associations between multiple serum metal exposures and low birth weight infants in Chinese pregnant women: A nested case-control study

Hou, Qingzhi; Huang, Lulu; Ge, Xiaoting; Yang, Aimin; Luo, Xiaoyu; Huang, Sifang; Xiao, Yang; Jiang, Chao; Li, Longman; Pan, Zhijian; Teng, Tao; Zhang, Haiying; Li, Mujun; Mo, Zengnan; Yang, Xiaobo

doi:10.1016/j.chemosphere.2019.05.103

Cited by 32 publications

(6 citation statements)

References 36 publications

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“…Moreover, the patterns of correlation appeared to be different in cases and controls (Supplementary Materials 4, see correlation maps), suggesting the existence of different exposure profiles [37,50]. This finding is similar to previous published studies [45,50] and encourage exploring the combined action of contaminants. Finally, due to the characteristics of the study design, the mechanism of action behind our results can only be hypothesized.…”

Section: Strengths and Limitations Of The Studysupporting

confidence: 86%

Association between Heavy Metals and Rare Earth Elements with Acute Ischemic Stroke: A Case-Control Study Conducted in the Canary Islands (Spain)

Medina-Estévez

Zumbado

Luzardo

et al. 2020

Toxics

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The role of inorganic elements as risk factors for stroke has been suggested. We designed a case-control study to explore the role of 45 inorganic elements as factors associated with stroke in 92 patients and 83 controls. Nineteen elements were detected in >80% of patients and 21 were detected in >80% of controls. Blood level of lead was significantly higher among patients (11.2 vs. 9.03 ng/mL) while gold and cerium were significantly higher among controls (0.013 vs. 0.007 ng/mL; and 18.0 vs. 15.0 ng/mL). Lead was associated with stroke in univariate and multivariate analysis (OR = 1.65 (95% CI, 1.09–2.50) and OR = 1.91 (95% CI, 1.20–3.04), respectively). Gold and cerium showed an inverse association with stroke in multivariate analysis (OR = 0.81 (95% CI, 0.69–0.95) and OR = 0.50 (95% CI, 0.31–0.78)). Future studies are needed to elucidate the potential sources of exposure and disclose the mechanisms of action.

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Section: Strengths and Limitations Of The Studysupporting

confidence: 86%

Association between Heavy Metals and Rare Earth Elements with Acute Ischemic Stroke: A Case-Control Study Conducted in the Canary Islands (Spain)

Medina-Estévez

Zumbado

Luzardo

et al. 2020

Toxics

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“…To further explore the association between serum biomarker and the risk of CVD for different patients, subgroup analyses were done by median age (≤63 and>63 years old) and gender (male and female). Furthermore, we used restricted cubic splines regression (RSC) to explore the dose-response relationship of a single serum biomarker and the risk of CVD [10].…”

Section: Statistical Analysesmentioning

confidence: 99%

Associations of multiple serum biomarkers and the risk of cardiovascular disease in China

Yao¹,

Hou

Liu

et al. 2020

BMC Cardiovasc Disord

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Background Previous studies focus on one or several serum biomarkers and the risk of cardiovascular disease (CVD). This study aims to investigate the association of multiple serum biomarkers and the risk of CVD and evaluate the dose-relationship between a single serum metabolite and CVD. Methods Our case-control study included 161 CVD and 160 non-CVD patients who had a physical examination in the same hospital. We used stratified analysis and cubic restricted analysis to investigate the dose-response relationship of individual serum biomarkers and the CVD incident. Moreover, to investigate serum biomarkers and CVD, we used elastic net regression and logistic regression to build a multi-biomarker model. Results In a single serum biomarker model, we found serum FT4, T4. GLU, CREA, TG and LDL-c were positively associated with CVD. In the male group, serum T4, GLU and LDL-c were positively associated with CVD; and serum TG was positively associated with CVD in the female group. When patients ≤63 years old, serum T4, GLU, CREA and TG were positively associated with CVD, and serum TG and LDL-c were positively associated with CVD when patients > 63 years old. Moreover, serum GLU had nonlinearity relationship with CVD and serum TG and LDL-c had linearity association with CVD. Furthermore, we used elastic regression selecting 5 serum biomarkers (GLU, FT4, TG, HDL-c, LDL-c) which were independently associated with CVD incident and built multi-biomarker model. And the multi-biomarker model had much better sensitivity than single biomarker model. Conclusion The multi-biomarker model had much higher sensitivity than a single biomarker model for the prediction of CVD. Serum FT4, TG and LDL-c were positively associated with the risk of CVD in single and multiple serum biomarkers models, and serum TG and LDL-c had linearity relationship with CVD.

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“…The coefficients and 95 % confidence intervals (CI) were calculated, dividing each metal into quartiles. Restricted cubic spline regression analysis (RCS) model [12] was used to characterize a dose-response association between a continuous exposure and an outcome, to visually and/or statistically check the assumption of linearity of the association, and to minimize residual confounding when adjusting for a continuous exposure, we used RCS model to explore the dose-effect relationships of prenatal HGB and serum lipid levels with preterm delivery. All of the models were adjusted by maternal education level and neonatal sex.…”

Section: Discussionmentioning

confidence: 99%

The Associations of Maternal Blood Hemoglobin and Serum Triglyceride Levels and the Risk of Preterm Delivery

Song,

Lin,

Dong

et al. 2023

Horm Metab Res

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The abnormal hemoglobin (HGB) and serum lipid concentrations during pregnancy will increase the risk of preterm delivery. Our study aimed to explore the correlation between prenatal HGB and serum lipid levels and preterm delivery. We enrolled 215 mother-infant pairs in a pilot cohort study. The logistic regression model and Restricted Cubic Spline model (RCS) were used to investigate the levels of prenatal blood HGB and serum lipid such as triglyceride (TG), total cholesterol, high-density lipoprotein, low density lipoprotein and preterm delivery. The results showed that moderate levels of prenatal blood HGB (OR=0.28; 95%CI: 0.10, 0.75, p-trend=0.018) and high level of serum TG (OR=0.29; 95%CI: 0.10, 0.84, p-trend=0.022) level were negatively associated with the risk of preterm delivery. The joint effect results showed that compared with lower level of prenatal blood HGB (≤123.13 g/l) and TG (≤3.7 mmol/l), we found that high levels prenatal blood HGB and serum TG (OR=0.32, 95%CI: 0.12, 0.89) had a negative association with the risk of preterm delivery. Moreover, prenatal blood HGB and serum TG levels had negative linear dose-effect relationships with the risk of preterm delivery in overall and girl group (p<0.05). Moderate levels of prenatal blood HGB and high level of serum TG were negatively associated with the risk of preterm delivery. The joint effect of high levels prenatal HGB and prenatal serum TG in the normal range were negatively correlated with preterm delivery. Moreover, the underlying mechanisms should be clarified in future studies.

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Associations between multiple serum metal exposures and low birth weight infants in Chinese pregnant women: A nested case-control study

Cited by 32 publications

References 36 publications

Association between Heavy Metals and Rare Earth Elements with Acute Ischemic Stroke: A Case-Control Study Conducted in the Canary Islands (Spain)

Association between Heavy Metals and Rare Earth Elements with Acute Ischemic Stroke: A Case-Control Study Conducted in the Canary Islands (Spain)

Associations of multiple serum biomarkers and the risk of cardiovascular disease in China

The Associations of Maternal Blood Hemoglobin and Serum Triglyceride Levels and the Risk of Preterm Delivery

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