Hualong Qiu , Yu Bao , Shengzhu Huang , Yuen Zhong , Caitong He , Long Tian , Yu Zhang , Bangzhu Luo , Tao Liang , Baohong Pang , Mujun Li , Hong Cheng , Longman Li , Zengnan Mo , Chaoqun Liu , Xiaobo Yang
{"title":"白蛋白介导母亲暴露于多种金属和妊娠期糖尿病之间的关系:来自广西出生队列研究的发现","authors":"Hualong Qiu , Yu Bao , Shengzhu Huang , Yuen Zhong , Caitong He , Long Tian , Yu Zhang , Bangzhu Luo , Tao Liang , Baohong Pang , Mujun Li , Hong Cheng , Longman Li , Zengnan Mo , Chaoqun Liu , Xiaobo Yang","doi":"10.1016/j.jtemb.2025.127736","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Metals are significantly associated with the risk of gestational diabetes mellitus (GDM). However, the effects of liver function on the relationships between metals and GDM risk remain unexplored. This study aimed to investigate whether maternal liver function mediates the association between exposure to multiple metals and GDM among pregnant women.</div></div><div><h3>Methods</h3><div>This cross-sectional study included 1321 pregnant women from the Guangxi Birth Cohort Study. The concentrations of 22 metals in the blood and the levels of 12 liver function biomarkers in the serum were measured in pregnant women at less than 24 gestational weeks. GDM was diagnosed by an oral glucose tolerance test (OGTT) at 24–28 weeks of gestation. A total of 292 pregnant women with GDM and 1029 pregnant women without GDM were included. After least absolute shrinkage and selection operator (LASSO) regression screening, a Bayes kernel machine regression (BKMR) model was used to study the combined effect of maternal blood polymetallic exposure on the risk of GDM, and restricted cubic spline analysis, a quantile g-computation model and a generalized linear regression model were used to evaluate the associations between metals and GDM. Moreover, mediation analyses were performed to determine whether liver function biomarkers mediate the associations between metals and GDM risk.</div></div><div><h3>Results</h3><div>LASSO regression analysis revealed that 10 metals were associated with GDM risk, and BKMR analysis suggested a positive association between combined exposure to multiple metals and GDM risk (OR: 1.275, 95 % CI: 1.004–1.618). Blood chromium (Cr) and cobalt (Co) were protective factors for GDM (OR: 0.575, 95 % CI: 0.394–0.835; OR: 0.838, 95 % CI: 0.705–0.995), whereas blood lead (Pb) and nickel (Ni) were risk factors for GDM (OR: 1.695, 95 % CI: 1.110–2.257; OR: 1.444, 95 % CI: 1.080–1.930) in the generalized linear model. According to the mediation analysis, albumin mediated the association between blood Pb exposure and GDM risk by 13.2 % (<em>P</em> = 0.039) and the association between blood Co exposure and GDM risk by 8.3 % (<em>P</em> = 0.027).</div></div><div><h3>Conclusion</h3><div>The results suggest that exposure to Pb and Ni during pregnancy increases the risk of GDM, whereas exposure to the trace elements Cr and Co can reduce the risk of GDM. Albumin may play a key role in the association of Pb and Co exposure with GDM.</div></div>","PeriodicalId":49970,"journal":{"name":"Journal of Trace Elements in Medicine and Biology","volume":"91 ","pages":"Article 127736"},"PeriodicalIF":3.6000,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Albumin mediates the association between maternal exposure to multiple metals and gestational diabetes mellitus: Findings from the Guangxi Birth Cohort Study\",\"authors\":\"Hualong Qiu , Yu Bao , Shengzhu Huang , Yuen Zhong , Caitong He , Long Tian , Yu Zhang , Bangzhu Luo , Tao Liang , Baohong Pang , Mujun Li , Hong Cheng , Longman Li , Zengnan Mo , Chaoqun Liu , Xiaobo Yang\",\"doi\":\"10.1016/j.jtemb.2025.127736\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Metals are significantly associated with the risk of gestational diabetes mellitus (GDM). However, the effects of liver function on the relationships between metals and GDM risk remain unexplored. This study aimed to investigate whether maternal liver function mediates the association between exposure to multiple metals and GDM among pregnant women.</div></div><div><h3>Methods</h3><div>This cross-sectional study included 1321 pregnant women from the Guangxi Birth Cohort Study. The concentrations of 22 metals in the blood and the levels of 12 liver function biomarkers in the serum were measured in pregnant women at less than 24 gestational weeks. GDM was diagnosed by an oral glucose tolerance test (OGTT) at 24–28 weeks of gestation. A total of 292 pregnant women with GDM and 1029 pregnant women without GDM were included. After least absolute shrinkage and selection operator (LASSO) regression screening, a Bayes kernel machine regression (BKMR) model was used to study the combined effect of maternal blood polymetallic exposure on the risk of GDM, and restricted cubic spline analysis, a quantile g-computation model and a generalized linear regression model were used to evaluate the associations between metals and GDM. Moreover, mediation analyses were performed to determine whether liver function biomarkers mediate the associations between metals and GDM risk.</div></div><div><h3>Results</h3><div>LASSO regression analysis revealed that 10 metals were associated with GDM risk, and BKMR analysis suggested a positive association between combined exposure to multiple metals and GDM risk (OR: 1.275, 95 % CI: 1.004–1.618). Blood chromium (Cr) and cobalt (Co) were protective factors for GDM (OR: 0.575, 95 % CI: 0.394–0.835; OR: 0.838, 95 % CI: 0.705–0.995), whereas blood lead (Pb) and nickel (Ni) were risk factors for GDM (OR: 1.695, 95 % CI: 1.110–2.257; OR: 1.444, 95 % CI: 1.080–1.930) in the generalized linear model. According to the mediation analysis, albumin mediated the association between blood Pb exposure and GDM risk by 13.2 % (<em>P</em> = 0.039) and the association between blood Co exposure and GDM risk by 8.3 % (<em>P</em> = 0.027).</div></div><div><h3>Conclusion</h3><div>The results suggest that exposure to Pb and Ni during pregnancy increases the risk of GDM, whereas exposure to the trace elements Cr and Co can reduce the risk of GDM. Albumin may play a key role in the association of Pb and Co exposure with GDM.</div></div>\",\"PeriodicalId\":49970,\"journal\":{\"name\":\"Journal of Trace Elements in Medicine and Biology\",\"volume\":\"91 \",\"pages\":\"Article 127736\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2025-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Trace Elements in Medicine and Biology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0946672X2500149X\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Trace Elements in Medicine and Biology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0946672X2500149X","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Albumin mediates the association between maternal exposure to multiple metals and gestational diabetes mellitus: Findings from the Guangxi Birth Cohort Study
Background
Metals are significantly associated with the risk of gestational diabetes mellitus (GDM). However, the effects of liver function on the relationships between metals and GDM risk remain unexplored. This study aimed to investigate whether maternal liver function mediates the association between exposure to multiple metals and GDM among pregnant women.
Methods
This cross-sectional study included 1321 pregnant women from the Guangxi Birth Cohort Study. The concentrations of 22 metals in the blood and the levels of 12 liver function biomarkers in the serum were measured in pregnant women at less than 24 gestational weeks. GDM was diagnosed by an oral glucose tolerance test (OGTT) at 24–28 weeks of gestation. A total of 292 pregnant women with GDM and 1029 pregnant women without GDM were included. After least absolute shrinkage and selection operator (LASSO) regression screening, a Bayes kernel machine regression (BKMR) model was used to study the combined effect of maternal blood polymetallic exposure on the risk of GDM, and restricted cubic spline analysis, a quantile g-computation model and a generalized linear regression model were used to evaluate the associations between metals and GDM. Moreover, mediation analyses were performed to determine whether liver function biomarkers mediate the associations between metals and GDM risk.
Results
LASSO regression analysis revealed that 10 metals were associated with GDM risk, and BKMR analysis suggested a positive association between combined exposure to multiple metals and GDM risk (OR: 1.275, 95 % CI: 1.004–1.618). Blood chromium (Cr) and cobalt (Co) were protective factors for GDM (OR: 0.575, 95 % CI: 0.394–0.835; OR: 0.838, 95 % CI: 0.705–0.995), whereas blood lead (Pb) and nickel (Ni) were risk factors for GDM (OR: 1.695, 95 % CI: 1.110–2.257; OR: 1.444, 95 % CI: 1.080–1.930) in the generalized linear model. According to the mediation analysis, albumin mediated the association between blood Pb exposure and GDM risk by 13.2 % (P = 0.039) and the association between blood Co exposure and GDM risk by 8.3 % (P = 0.027).
Conclusion
The results suggest that exposure to Pb and Ni during pregnancy increases the risk of GDM, whereas exposure to the trace elements Cr and Co can reduce the risk of GDM. Albumin may play a key role in the association of Pb and Co exposure with GDM.
期刊介绍:
The journal provides the reader with a thorough description of theoretical and applied aspects of trace elements in medicine and biology and is devoted to the advancement of scientific knowledge about trace elements and trace element species. Trace elements play essential roles in the maintenance of physiological processes. During the last decades there has been a great deal of scientific investigation about the function and binding of trace elements. The Journal of Trace Elements in Medicine and Biology focuses on the description and dissemination of scientific results concerning the role of trace elements with respect to their mode of action in health and disease and nutritional importance. Progress in the knowledge of the biological role of trace elements depends, however, on advances in trace elements chemistry. Thus the Journal of Trace Elements in Medicine and Biology will include only those papers that base their results on proven analytical methods.
Also, we only publish those articles in which the quality assurance regarding the execution of experiments and achievement of results is guaranteed.