Cadmium exposure and the risk of GDM: evidence emerging from the systematic review and meta-analysis

Zhou, Minqi; Peng, Lianqi; Wang, Jingming; Cao, Rong; Ou, Zixuan; Fang, Yiwei

doi:10.1007/s11356-022-21171-4

Cited by 4 publications

(2 citation statements)

References 84 publications

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“…However, the specific mechanism and factors influencing GDM remain unclear [ 8 ]. Genetic and environmental factors play important roles in the etiology of GDM [ 9 ]. Recent studies have found that single nucleotide polymorphisms (SNPs) in TCF7L2, CAPN10, KCNQ1 , and ADIPOQ are associated with the onset of gestational diabetes [ 10 , 11 ].…”

Section: Introductionmentioning

confidence: 99%

Correlation between TCF7L2 and CAPN10 gene polymorphisms and gestational diabetes mellitus in different geographical regions: a meta-analysis

He,

Zhang,

Ren

et al. 2024

BMC Pregnancy Childbirth

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Background The association between TCF7L2 and CAPN10 gene polymorphisms and gestational diabetes mellitus (GDM) has been explored in diverse populations across different geographical regions. Yet, most of these studies have been confined to a limited number of loci, resulting in inconsistent findings. In this study, we conducted a comprehensive review of published literature to identify studies examining the relationship between TCF7L2 and CAPN10 gene polymorphisms and the incidence of GDM in various populations. We specifically focused on five loci that were extensively reported in a large number of publications and performed a meta-analysis. Methods We prioritized the selection of SNPs with well-documented correlations established in existing literature on GDM. We searched eight Chinese and English databases: Cochrane, Elton B. Stephens. Company (EBSCO), Embase, Scopus, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang, and China Science and Technology Journal Database and retrieved all relevant articles published between the inception of the database and July 2022. The Newcastle Ottawa Scale (NOS) was used to evaluate the selected articles, and the odds ratio (OR) was used as the combined effect size index to determine the association between genotypes, alleles, and GDM using different genetic models. Heterogeneity between the studies was quantified and the I2 value calculated. Due to large heterogeneities between different ethnic groups, subgroup analysis was used to explore the correlation between genetic polymorphisms and the incidence of GDM in the different populations. The stability of the results was assessed using sensitivity analysis. Begg’s and Egger’s tests were used to assess publication bias. Results A total of 39 articles reporting data on 8,795 cases and 16,290 controls were included in the analysis. The frequency of the rs7901695 genotype was statistically significant between cases and controls in the European population (OR = 0.72, 95% CI: 0.65–0.86) and the American population (OR = 0.61, 95% CI: 0.48–0.77). The frequencies of rs12255372, rs7901695, rs290487, and rs2975760 alleles were also considerably different between the cases and controls in the populations analyzed. Conclusions rs7903146, rs12255372, rs7901695, rs290487, and rs2975760 were associated with the incidence of GDM in different populations.

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Section: Introductionmentioning

confidence: 99%

Correlation between TCF7L2 and CAPN10 gene polymorphisms and gestational diabetes mellitus in different geographical regions: a meta-analysis

He,

Zhang,

Ren

et al. 2024

BMC Pregnancy Childbirth

View full text Add to dashboard Cite

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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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Potential Factors Associated with the Blood Metal Concentrations of Reproductive-Age Women in Taiwan

et al. 2023

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Exposure of reproductive-age women to toxic trace elements warrants attention because of their negative effects. This study aimed to investigate the levels of arsenic (As), cadmium (Cd), mercury (Hg), chromium (Cr), and lead (Pb) in the blood of 837 Taiwanese childbearing-age women and establish the correlation between their dietary pattern and heavy metal concentration. The concentrations of Cd and Pb were significantly higher in nonpregnant women than in pregnant women (Cd: 2.41 µg/L vs. 2.12 µg/L; Pb: 0.83 µg/dL vs. 0.73 µg/dL), whereas the concentration of Cr was significantly lower in nonpregnant women than in pregnant women (Cr: 0.98 µg/L vs. 1.05 µg/L). Otherwise, no significant differences in As (9.02 µg/L vs. 9.51 µg/L) and Hg (3.71 µg/L vs. 3.79 µg/L) were found between the nonpregnant and pregnant women. Overall, the blood metal concentrations of Cd and Hg showed a decreasing trend in the different pregnancy stages. The levels of As and Hg were highly correlated with seafood intake. Finally, lifestyle habits, such as burning incense usage and Chinese herb intake may contribute to metal accumulation in maternal or reproductive-age women. Preventive risk communication and educational strategies should be applied to these subgroups in view of food safety and public health concern. Graphical Abstract

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Cadmium exposure and the risk of GDM: evidence emerging from the systematic review and meta-analysis

Cited by 4 publications

References 84 publications

Correlation between TCF7L2 and CAPN10 gene polymorphisms and gestational diabetes mellitus in different geographical regions: a meta-analysis

Correlation between TCF7L2 and CAPN10 gene polymorphisms and gestational diabetes mellitus in different geographical regions: a meta-analysis

Recent advances in the application of ionomics in metabolic diseases

Potential Factors Associated with the Blood Metal Concentrations of Reproductive-Age Women in Taiwan

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