A negative combined effect of exposure to maternal Mn-Cu-Rb-Fe metal mixtures on gestational anemia, and the mediating role of creatinine in the Guangxi Birth Cohort Study (GBCS): Twelve machine learning algorithms

The link between individual metals and gestational anemia has been established, but the impact of metal mixtures and the mediating role of renal function on gestational anemia remain inconclusive. The concentrations of 20 blood essential trace and nonessential metals and 7 serum kidney function indicators were measured among 2000 pregnant women from the Guangxi Birth Cohort Study. Maternal hemoglobin < 110 g/L and hematocrit < 0.33 were defined as gestational anemia. We utilized twelve machine learning (ML) algorithms to independently screen for effective metal mixtures, assess their combined impacts and dose-response relationships on gestational anemia, and estimate the mediating role of kidney function. In the total population, manganese (Mn), copper (Cu), rubidium (Rb), and iron (Fe) were identified as significant metals with independent effects on gestational anemia by seven ML algorithms. The results of the Mn-Cu-Rb-Fe metal mixture ML models revealed that Rb (P = 0.008) and Fe (P < 0.001) were linearly and nonlinearly negatively associated with gestational anemia, respectively, whereas Cu (P = 0.069) showed a borderline positive association. The results for the Mn-Cu-Rb-Fe metal mixtures from both the first and second trimesters were consistent with their significance in the total population. Moreover, the protective effect of Rb increased while that of Fe decreased as pregnancy progressed; simultaneously, the risk effect of Cu diminished. In the third trimester, linear positive combined effects of tin (Sn) (P = 0.002) and cadmium (Cd) (P = 0.004) on gestational anemia were observed in the Sn-Rb-vanadium-Cd-Fe metal mixture ML models. Furthermore, we found that creatinine mediated the association between Fe and gestational anemia in the second trimester (mediated proportion = 3.7 %, P = 0.032). Hence, exposure to Mn-Cu-Rb-Fe mixtures inversely correlated with gestational anemia, which is mediated by creatinine. Sustained Rb and Fe supplementation may avert anemia and ameliorate metal toxicity.

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Publication Details

Journal
Ecotoxicology and Environmental Safety
Published
2025-05-30
DOI
https://doi.org/10.1016/j.ecoenv.2025.118418
Citations
3
Primary Topic
Heavy Metal Exposure and Toxicity
Type
article
Field-Weighted Citation Impact
3.60

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article

A negative combined effect of exposure to maternal Mn-Cu-Rb-Fe metal mixtures on gestational anemia, and the mediating role of creatinine in the Guangxi Birth Cohort Study (GBCS): Twelve machine learning algorithms

Caitong He, Chaoqun Liu, Shengzhu Huang, Honglei Jin et al.
3 citations
Ecotoxicology and Environmental Safety
Heavy Metal Exposure and Toxicity
3.60
article

A negative combined effect of exposure to maternal Mn-Cu-Rb-Fe metal mixtures on gestational anemia, and the mediating role of creatinine in the Guangxi Birth Cohort Study (GBCS): Twelve machine learning algorithms

Caitong He, Chaoqun Liu, Shengzhu Huang, Honglei Jin, Bangzhu Luo, Jiajun Ren, Long Tian, Zengnan Mo, Mujun Li, Longman Li, Yu Bao, Yu Zhang, Hualong Qiu, Yuen Zhong, Xiaobo Yang, Honglin Huang, Tao Liang, Hong Cheng
article en
3 citations

Abstract

The link between individual metals and gestational anemia has been established, but the impact of metal mixtures and the mediating role of renal function on gestational anemia remain inconclusive. The concentrations of 20 blood essential trace and nonessential metals and 7 serum kidney function indicators were measured among 2000 pregnant women from the Guangxi Birth Cohort Study. Maternal hemoglobin < 110 g/L and hematocrit < 0.33 were defined as gestational anemia. We utilized twelve machine learning (ML) algorithms to independently screen for effective metal mixtures, assess their combined impacts and dose-response relationships on gestational anemia, and estimate the mediating role of kidney function. In the total population, manganese (Mn), copper (Cu), rubidium (Rb), and iron (Fe) were identified as significant metals with independent effects on gestational anemia by seven ML algorithms. The results of the Mn-Cu-Rb-Fe metal mixture ML models revealed that Rb (P = 0.008) and Fe (P < 0.001) were linearly and nonlinearly negatively associated with gestational anemia, respectively, whereas Cu (P = 0.069) showed a borderline positive association. The results for the Mn-Cu-Rb-Fe metal mixtures from both the first and second trimesters were consistent with their significance in the total population. Moreover, the protective effect of Rb increased while that of Fe decreased as pregnancy progressed; simultaneously, the risk effect of Cu diminished. In the third trimester, linear positive combined effects of tin (Sn) (P = 0.002) and cadmium (Cd) (P = 0.004) on gestational anemia were observed in the Sn-Rb-vanadium-Cd-Fe metal mixture ML models. Furthermore, we found that creatinine mediated the association between Fe and gestational anemia in the second trimester (mediated proportion = 3.7 %, P = 0.032). Hence, exposure to Mn-Cu-Rb-Fe mixtures inversely correlated with gestational anemia, which is mediated by creatinine. Sustained Rb and Fe supplementation may avert anemia and ameliorate metal toxicity.

Ecotoxicology and Environmental SafetyVol. 300
Guangxi Medical University (CN), Liuzhou Maternal and Child Health Hospital (CN), Qinzhou Maternity and Child Health Care Hospital (CN), Guigang City People's Hospital (CN), First Affiliated Hospital of GuangXi Medical University (CN), Yulin Orthopedics Hospital of Chinese and Western Medicine (CN)
National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 8%
Heavy Metal Exposure and Toxicity
3.60
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