Maternal cobalt concentration and risk of spontaneous preterm birth: the role of fasting blood glucose and lipid profiles

IntroductionSpontaneous preterm birth (SPB) is a significant cause of neonatal mortality, yet its etiology remains unclear. Cobalt, an essential trace element, might be a risk factor for SPB. This study aims to investigate the relationship between maternal serum cobalt concentration and SPB, and to...

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Main Authors: Junhua Huang, Wei Zheng, Aili Wang, Weiling Han, Junxi Chen, Hang An, Lailai Yan, Zhiwen Li, Guanghui Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Nutrition
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnut.2024.1336361/full
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author Junhua Huang
Wei Zheng
Aili Wang
Aili Wang
Weiling Han
Junxi Chen
Junxi Chen
Hang An
Hang An
Lailai Yan
Zhiwen Li
Zhiwen Li
Guanghui Li
author_facet Junhua Huang
Wei Zheng
Aili Wang
Aili Wang
Weiling Han
Junxi Chen
Junxi Chen
Hang An
Hang An
Lailai Yan
Zhiwen Li
Zhiwen Li
Guanghui Li
author_sort Junhua Huang
collection DOAJ
description IntroductionSpontaneous preterm birth (SPB) is a significant cause of neonatal mortality, yet its etiology remains unclear. Cobalt, an essential trace element, might be a risk factor for SPB. This study aims to investigate the relationship between maternal serum cobalt concentration and SPB, and to clarify the role of blood lipids and fasting blood glucose (FBG) in this relationship.MethodsWe conducted a nested case-control study within the Beijing Birth Cohort Study. Serum samples were obtained from 222 pregnant women with SPB and 224 controls during the first (7–13 weeks of pregnancy) and third trimesters (32–42 weeks of pregnancy). Serum cobalt concentration was determined using inductively coupled plasma mass spectrometry (ICP-MS). Fasting blood glucose and lipids levels were detected using a fully automated biochemical immunoassay instrument. Logistic regression models and linear regression models were established to explore the association between serum cobalt concentration and the risk of SPB in pregnant women, and to test the mediating effect of fasting blood glucose (FBG) and lipids.ResultsWe found that the serum cobalt concentration in mothers with SPB and controls was similar in the first trimester, with values of 0.79 (0.58–1.10) ng/mL and 0.75 (0.51–1.07) ng/mL, respectively. However, in the third trimester, the cobalt concentration increased to 0.88 (0.59–1.14) ng/mL and 0.84 (0.52–1.19) ng/mL, respectively. In the logistic regression model, when considering the third trimester of pregnancy, after adjusting for ethnicity, pre-pregnancy body mass index (BMI), maternal age, education, income, and parity, it was observed that the medium level of cobalt concentration (0.63–1.07 ng/ml) had a negative correlation with the risk of SPB. The odds ratio (OR) was 0.56, with a 95% confidence interval of 0.34–0.90 ng/mL and a p-value of 0.02. This suggests that cobalt in this concentration range played a protective role against SPB. Additionally, it was found that FBG in the third trimester of pregnancy had a partial intermediary role, accounting for 9.12% of the association. However, no relationship between cobalt and SPB risk was found in the first trimester.ConclusionDuring the third trimester, intermediate levels of maternal cobalt appear to offer protection against SPB, with FBG playing a partial mediating role. To further clarify the optimal cobalt concentrations during pregnancy for different populations, a multi-center study with a larger sample size is necessary. Additionally, exploring the specific mechanism of FBG’s mediating role could provide valuable insights for improving the prevention of SPB.
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spelling doaj.art-4aa16eb78193452b8ad8905ed29c94e72024-02-01T04:18:50ZengFrontiers Media S.A.Frontiers in Nutrition2296-861X2024-02-011110.3389/fnut.2024.13363611336361Maternal cobalt concentration and risk of spontaneous preterm birth: the role of fasting blood glucose and lipid profilesJunhua Huang0Wei Zheng1Aili Wang2Aili Wang3Weiling Han4Junxi Chen5Junxi Chen6Hang An7Hang An8Lailai Yan9Zhiwen Li10Zhiwen Li11Guanghui Li12Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, ChinaDivision of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, ChinaDivision of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, ChinaDepartment of Obstetrics and Gynecology, Beijing Luhe Hospital, Capital Medical University, Beijing, ChinaDivision of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, ChinaInstitute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, ChinaInstitute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, ChinaDepartment of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing, ChinaInstitute of Reproductive and Child Health, National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, ChinaDivision of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University. Beijing Maternal and Child Health Care Hospital, Beijing, ChinaIntroductionSpontaneous preterm birth (SPB) is a significant cause of neonatal mortality, yet its etiology remains unclear. Cobalt, an essential trace element, might be a risk factor for SPB. This study aims to investigate the relationship between maternal serum cobalt concentration and SPB, and to clarify the role of blood lipids and fasting blood glucose (FBG) in this relationship.MethodsWe conducted a nested case-control study within the Beijing Birth Cohort Study. Serum samples were obtained from 222 pregnant women with SPB and 224 controls during the first (7–13 weeks of pregnancy) and third trimesters (32–42 weeks of pregnancy). Serum cobalt concentration was determined using inductively coupled plasma mass spectrometry (ICP-MS). Fasting blood glucose and lipids levels were detected using a fully automated biochemical immunoassay instrument. Logistic regression models and linear regression models were established to explore the association between serum cobalt concentration and the risk of SPB in pregnant women, and to test the mediating effect of fasting blood glucose (FBG) and lipids.ResultsWe found that the serum cobalt concentration in mothers with SPB and controls was similar in the first trimester, with values of 0.79 (0.58–1.10) ng/mL and 0.75 (0.51–1.07) ng/mL, respectively. However, in the third trimester, the cobalt concentration increased to 0.88 (0.59–1.14) ng/mL and 0.84 (0.52–1.19) ng/mL, respectively. In the logistic regression model, when considering the third trimester of pregnancy, after adjusting for ethnicity, pre-pregnancy body mass index (BMI), maternal age, education, income, and parity, it was observed that the medium level of cobalt concentration (0.63–1.07 ng/ml) had a negative correlation with the risk of SPB. The odds ratio (OR) was 0.56, with a 95% confidence interval of 0.34–0.90 ng/mL and a p-value of 0.02. This suggests that cobalt in this concentration range played a protective role against SPB. Additionally, it was found that FBG in the third trimester of pregnancy had a partial intermediary role, accounting for 9.12% of the association. However, no relationship between cobalt and SPB risk was found in the first trimester.ConclusionDuring the third trimester, intermediate levels of maternal cobalt appear to offer protection against SPB, with FBG playing a partial mediating role. To further clarify the optimal cobalt concentrations during pregnancy for different populations, a multi-center study with a larger sample size is necessary. Additionally, exploring the specific mechanism of FBG’s mediating role could provide valuable insights for improving the prevention of SPB.https://www.frontiersin.org/articles/10.3389/fnut.2024.1336361/fullcobaltspontaneous preterm birthfasting blood glucoselipid profilesrisk
spellingShingle Junhua Huang
Wei Zheng
Aili Wang
Aili Wang
Weiling Han
Junxi Chen
Junxi Chen
Hang An
Hang An
Lailai Yan
Zhiwen Li
Zhiwen Li
Guanghui Li
Maternal cobalt concentration and risk of spontaneous preterm birth: the role of fasting blood glucose and lipid profiles
Frontiers in Nutrition
cobalt
spontaneous preterm birth
fasting blood glucose
lipid profiles
risk
title Maternal cobalt concentration and risk of spontaneous preterm birth: the role of fasting blood glucose and lipid profiles
title_full Maternal cobalt concentration and risk of spontaneous preterm birth: the role of fasting blood glucose and lipid profiles
title_fullStr Maternal cobalt concentration and risk of spontaneous preterm birth: the role of fasting blood glucose and lipid profiles
title_full_unstemmed Maternal cobalt concentration and risk of spontaneous preterm birth: the role of fasting blood glucose and lipid profiles
title_short Maternal cobalt concentration and risk of spontaneous preterm birth: the role of fasting blood glucose and lipid profiles
title_sort maternal cobalt concentration and risk of spontaneous preterm birth the role of fasting blood glucose and lipid profiles
topic cobalt
spontaneous preterm birth
fasting blood glucose
lipid profiles
risk
url https://www.frontiersin.org/articles/10.3389/fnut.2024.1336361/full
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