Associations between endocrine-disrupting heavy metals in maternal hair and gestational diabetes mellitus: A nested case-control study in China

Jia, Xiaoqian; Zhang, Le; Jing, Zhao; Ren, Mengyuan; Li, Zewu; Wang, Jiamei; Wang, Shuo; Liu, Yingying; An, Hang; Li, Yuhuan; Yan, Lailai; Li, Zhiwen; Liu, Xiaohong; Pan, Bo; Ye, Rongwei

doi:10.1016/j.envint.2021.106770

Cited by 39 publications

(17 citation statements)

References 51 publications

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“…Finally, we included the remaining 10 studies in the meta-analysis on the connection between cadmium exposure and the risk of GDM (Figure 1). Some studies focusing on this issue have found significant evidence to prove the relationship between cadmium and the risk of GDM (14-17), while others have found negative results (13,(18)(19)(20)(21)(22).…”

Section: Search Results and Study Characteristicsmentioning

confidence: 99%

The Association Between Cadmium Exposure and Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis

Lin

Xiao

et al. 2022

Front. Public Health

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ObjectiveSeveral studies have evaluated the association of cadmium exposure with the risk of gestational diabetes mellitus (GDM). However, the findings among these studies have been inconsistent. To further investigate the relationship, we carried out a meta-analysis to clarify the relationship between cadmium exposure and GDM risk.MethodsFive databases (Scopus, PubMed, Web of Science, Cochrane, and CNKI) were searched for eligible studies until September 09, 2021. The quality of eligible studies was evaluated using the Newcastle–Ottawa quality assessment scale (NOS). The summary odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by random-effects models due to high heterogeneity. Sensitivity analysis was performed to explore the robustness of the results. Publication bias was evaluated by Egger's test and Begg's test. We also conducted meta-regression analysis and subgroup analysis to assess the potential sources of heterogeneity.ResultsA total of 10 studies with 32,000 participants related to our issue were included. Comparing the highest vs. lowest categories of cadmium exposure, no significant association was observed between cadmium exposure and the risk of GDM (OR = 1.16, 95% CI = 0.92–1.46, and P = 0.206). No publication bias was found in Begg's and Egger's tests (all P > 0.05). Meta-regression suggested that publication year was the potentially heterogeneous source (P = 0.034). Subgroup analysis of publication year showed that the OR of studies before the year of 2016 was 4.05 (95% CI = 1.87–8.76, P < 0.001), and prospective cohort studies showed a borderline increased GDM risk (OR = 1.15, 95% CI = 0.99–1.33, and P = 0.061).ConclusionOur results indicated no significant association between cadmium exposure and GDM risk. Further high-quality prospective studies, especially those using standard analytic methods for cadmium exposure, are warranted to confirm the results.

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Section: Search Results and Study Characteristicsmentioning

confidence: 99%

The Association Between Cadmium Exposure and Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis

Lin

Xiao

et al. 2022

Front. Public Health

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“…28 Previous studies have suggested that heavy metals, bisphenol-A and pesticides are all potential risk factors for GDM. [29][30][31] However, further research is needed to examine whether the association between protein powder supplementation and GDM risk is due to protein itself or other components within the protein powder supplements.…”

Section: Discussionmentioning

confidence: 99%

Protein powder supplementation in early pregnancy and the risk of gestational diabetes mellitus: a prospective cohort study

et al. 2023

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“…This may indicate that elemental profiles in the cord blood provide more evidence for understanding the biochemical processes occurring during GDM. Moreover, several recent case-control and cohort studies as well as meta-analyses reported that exposure to toxic heavy metals [such as Ni, antimony (Sb), Cd, and Cu] and insufficient Zn content in the body in early pregnancy are associated with an increased risk of GDM, either individually or as a metal mixture (89)(90)(91)(92)(93)(94)(95)(96). Overall, these studies demonstrate high complexity and tissue specificity of the ionomes in patients with different types of DM.…”

Section: Diabetes Mellitusmentioning

confidence: 99%

Recent advances in the application of ionomics in metabolic diseases

et al. 2023

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Trace elements and minerals play a significant role in human health and diseases. In recent years, ionomics has been rapidly and widely applied to explore the distribution, regulation, and crosstalk of different elements in various physiological and pathological processes. On the basis of multi-elemental analytical techniques and bioinformatics methods, it is possible to elucidate the relationship between the metabolism and homeostasis of diverse elements and common diseases. The current review aims to provide an overview of recent advances in the application of ionomics in metabolic disease research. We mainly focuses on the studies about ionomic or multi-elemental profiling of different biological samples for several major types of metabolic diseases, such as diabetes mellitus, obesity, and metabolic syndrome, which reveal distinct and dynamic patterns of ion contents and their potential benefits in the detection and prognosis of these illnesses. Accumulation of copper, selenium, and environmental toxic metals as well as deficiency of zinc and magnesium appear to be the most significant risk factors for the majority of metabolic diseases, suggesting that imbalance of these elements may be involved in the pathogenesis of these diseases. Moreover, each type of metabolic diseases has shown a relatively unique distribution of ions in biofluids and hair/nails from patients, which might serve as potential indicators for the respective disease. Overall, ionomics not only improves our understanding of the association between elemental dyshomeostasis and the development of metabolic disease but also assists in the identification of new potential diagnostic and prognostic markers in translational medicine.

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Associations between endocrine-disrupting heavy metals in maternal hair and gestational diabetes mellitus: A nested case-control study in China

Cited by 39 publications

References 51 publications

The Association Between Cadmium Exposure and Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis

The Association Between Cadmium Exposure and Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis

Protein powder supplementation in early pregnancy and the risk of gestational diabetes mellitus: a prospective cohort study

Recent advances in the application of ionomics in metabolic diseases

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