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Record W4416756604 · doi:10.1016/j.envint.2025.109959

Early pregnancy blood heavy metal(loid)s and low sea-fish consumption in relation to risk of gestational diabetes mellitus among Shanghai Birth cohort (SBC) women

2025· article· en· W4416756604 on OpenAlexaff
Yanlin Li, Ting Zhang, Jinqian Ma, Junxia Liu, Jian Xu, Sarah E. Rothenberg, Chonghuai Yan, Jun Zhang, Zhong‐Cheng Luo, Xiaobin Wang

Bibliographic record

VenueEnvironment International · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicMercury impact and mitigation studies
Canadian institutionsLunenfeld-Tanenbaum Research Institute
FundersSchool of Medicine, Shanghai Jiao Tong UniversityShanghai Municipal Education CommissionNational Natural Science Foundation of ChinaShanghai Municipal Health Commission
KeywordsGestational diabetesPregnancyEarly pregnancy factorProspective cohort studyConsumption (sociology)Cohort studyDiabetes mellitus

Abstract

fetched live from OpenAlex

BACKGROUND: Gestational diabetes mellitus (GDM) is a common metabolic complication during pregnancy which increase both maternal and fetal adverse outcomes. Selected heavy metal(loid)s may lead to insulin resistance and increase risk of GDM. We sought to investigate associations between maternal heavy metal(loid)s exposure, sea-fish consumption and GDM risk. METHODS: In 2174 women, including 686 with GDM, 48 with preexisting diabetes mellitus (PDM), and 1440 euglycemic pregnancies from the Shanghai Birth Cohort, we measured maternal whole blood concentrations of 13 metal(loid)s including mercury (Hg), arsenic, cadmium, lead, magnesium, calcium, manganese, iron, copper, zinc, selenium, rubidium, and strontium at early pregnancy. Logistic regressions were used to evaluate the associations of prenatal blood metal(loid)s with GDM and PDM, and linear regressions for plasma glucose (fasting, 1-hour, and 2-hour) during 75 g-oral glucose tolerance test (OGTT), with stratification by prenatal fish consumption and adjusting for pertinent covariates. RESULTS: Early pregnancy blood Hg concentrations were higher in women with GDM and PDM versus euglycemic (geometric mean was 1.88, and 2.18 versus 1.74 μg/L). Compared with the lowest quintile of Hg, the highest Hg quintile was associated with 1.66-fold higher odds of GDM (95 % CI: 1.17, 2.37, P < 0.01) and 7.10-fold higher odds (95 % CI: 1.82, 47.06, P < 0.05) of PDM. Consistently, blood Hg was also positively associated with higher plasma glucose at fasting, 1-hour, and 2-hour during OGTT. No significant associations were found between other measured metal(loid)s and GDM or PDM. The positive Hg-associations with GDM, PDM, and plasma glucoses were stronger among women with low fish intake (<1 time/week) and not statistically significant among higher sea-fish intake (interaction test P < 0.05). CONCLUSIONS: In this prospective birth cohort, despite relatively low maternal Hg exposure, maternal Hg during early pregnancy was positively associated with increased risk of GDM and PDM, while higher sea-fish consumption showed counteracting effect.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.222
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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