Higher copper and zinc concentrations in pregnant women's blood disrupted lipid metabolism and altered gut bacterial composition, while cobalt showed protective effects. The study tracked 689 women through mid-to-late pregnancy, finding that metals triggered shifts in over 30 bacterial taxa, primarily affecting Firmicutes and Bacteroidota populations. Reduced microbial diversity strongly correlated with elevated triglycerides. This research illuminates a previously underexplored pathway where trace elements reshape the maternal microbiome, creating cascading metabolic consequences. The finding challenges conventional views of pregnancy dyslipidemia as primarily hormonal, revealing environmental metal exposure as a key driver. A machine learning model combining metal levels and bacterial profiles achieved remarkable 91% accuracy in predicting late-pregnancy lipid disorders from mid-pregnancy data. This predictive capability could revolutionize prenatal care, enabling targeted interventions months before clinical symptoms emerge. The work also raises questions about optimal mineral supplementation during pregnancy—suggesting that blanket zinc supplementation, commonly recommended, might require personalized dosing based on baseline levels and microbiome status to avoid metabolic disruption.