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Association of maternal multi-metal exposure and dyslipidemia: a study of air pollution on pregnancy outcomes

BMC Pregnancy and Childbirth 2025年第1期25卷 1-9页

作者： Go, Yoon-Young Hur, Young Min You, Young-Ah Park, Sunwha Lee, Gain Chae, Rin Kim, Soo-Min Kim, Young Ju Department of Obstetrics and Gynecology College of Medicine and Ewha Medical Institute Ewha Womans University 1071 Anyangcheon-Ro Yangcheon-Gu Seoul 07985 South Korea Graduate Program in System Health Science and Engineering Ewha Womans University Seoul 07985 South Korea Graduate Program in Division of Artificial Intelligence and Software/Artificial Intelligence Convergence Ewha Womans University Seoul 07985 South Korea

Background: Exposure to air pollutants, including heavy metals, is a major environmental concern of public health and these environmental toxicants have been associated with pregnancy complications. Objectives: An air pollution on pregnancy outcome (APPO) study was performed to investigate the adverse effects of fine particulate matter (PM_2.5) exposure on pregnancy outcomes. This study examined the association between maternal urinary metal mixtures and pregnancy complications, including dyslipidemia and preterm birth (PTB). Methods: The concentrations of 16 metals were measured in 60 urine samples collected during the second trimester pregnancy. Logistic regression and Bayesian kernel machine regression (BKMR) models were used to analyze the single and overall effects of metal exposure on pregnancy complications, respectively. Results: Logistic regression analysis showed a significant difference in urinary Ni and Zn concentrations between those exposed to high and low concentrations of fine particulate matter with an aerodynamic diameter of less than 2.5 µm (PM_2.5) and those not exposed. Four metals (Ni, Sc, Mo, and Cs) were positively associated with total cholesterol (TC) levels, but not with triglyceride (TG) levels and PTB. The BKMR model showed that the overall mixture of 16 metals was positively correlated with high TC and TG levels during the third trimester of pregnancy, and the individual effects of Mo and Pb were the most significant. However, we were only able to identify a trend between maternal exposure to metal mixtures and PTB. Conclusions: BKMR analyses showed a positive association between exposure to multi-metal mixtures and higher maternal TC and TG levels, a factor that contributes to PTB. Therefore, this also suggests that multi-metal exposure during pregnancy may be a potential risk factor for PTB. © The Author(s) 2025.

关键词： Heavy metals Overall effect Pregnancy outcomes Total cholesterol Triglyceride

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Kimchi-derived probiotic intervention improve metabolic health in a sex-specific manner in rat offspring affected by maternal diet and postnatal nutrition

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Journal of Functional Foods 2025年 129卷

作者： You, Young-Ah Kim, Soo Min Lee, Kyeongha Hwang, Subin In Lee, Ga Park, Sunwha Hur, Young Min Go, Yoon-Young Kim, Young Ju Department of Obstetrics and Gynecology College of Medicine and Ewha Medical Institute Ewha Womans University Seoul 07985 South Korea Graduate program in system health science and engineering Ewha Womans University Seoul South Korea

Inadequate maternal nutrition can predispose offspring to obesity and chronic metabolic diseases. This study used a rat model to investigate the impact of maternal high-fat diet-induced metabolic disturbances and the therapeutic potential of WIKIM51, a Weissella confusa strain derived from kimchi. Offspring of high-fat diet-fed dams were assigned to either a normal diet (HF) or continued high-fat diet (OB). At 10 weeks of age, rat offspring received WIKIM51 supplementation for 6 weeks. Metabolic outcomes were assessed at 16 weeks, and two-way ANOVA was used to evaluate the effects of diet and probiotic treatment. Male offspring in the HF and OB groups showed increased body and liver weight, fat accumulation, and elevated blood metabolic markers, along with increased hepatic triglyceride levels and lipogenesis marker expression. WIKIM51 supplementation significantly improved these parameters in males, but not in females. These findings suggest that kimchi-derived probiotics may have sex-specific effects on transgenerational metabolic programming. © 2025

关键词： Fetal programming Lipid metabolism Maternal obesity Oxidative stress Weissella confusa WIKIM51

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The Bacterial Outer Membrane Vesicle-Cloaked Immunostimulatory Nanoplatform Reinvigorates T Cell Function and Reprograms Tumor Immunity

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ACS Nano 2025年 2025 May 20页

作者： Lin, Yu-Han Chen, Chia-Wei Chen, Mei-Yi Xu, Li Tian, Xuejiao Cheung, Siu-Hung Wu, Yen-Ling Siriwon, Natnaree Wu, Si-Han Mou, Kurt Yun Taiwan International Graduate Program in Molecular Medicine National Yang Ming Chiao Tung University and Academia Sinica Taipei 11529 Taiwan Graduate Institute of Nanomedicine and Medical Engineering Taipei Medical University Taipei 11031 Taiwan Institute of Biomedical Sciences Academia Sinica Taipei 11529 Taiwan Research Center for Applied Sciences Academia Sinica Taipei 11529 Taiwan Chakri Naruebodindra Medical Institute Faculty of Medicine Ramathibodi Hospital Mahidol University Samutprakarn 10540 Thailand International Ph.D. Program in Biomedical Engineering Taipei Medical University Taipei 11031 Taiwan Nano Science and Technology Program Taiwan International Graduate Program Academia Sinica Taipei 11529 Taiwan Department of Engineering and System Science National Tsing Hua University Hsinchu 30013 Taiwan

Bacterial outer membrane vesicles (OMVs) represent powerful immunoadjuvant nanocarriers with the capacity to reprogram the tumor microenvironment (TME) and activate immune responses. Here, we investigate a nanotherapeutic platform integrating immunostimulatory cytosine-phosphate-guanine oligodeoxynucleotides (CpG-ODNs, hereafter termed CpG) into mesoporous silica nanoparticles cloaked with OMVs (CpG@MSN-PEG/PEI@OMVs) for cancer immunotherapy. systemic administration of these nanohybrids facilitates precise tumor targeting, induces antitumor cytokines such as IFNγ, and suppresses immunosuppressive cytokine TGF-β, reshaping the TME. Additionally, CpG@MSN-PEG/PEI@OMVs promote M1 macrophage polarization, dendritic cell maturation, and the generation of durable tumor-specific immune memory, resulting in pronounced tumor regression with minimal systemic toxicity. The platform demonstrates efficacy against metastatic and solid tumor models including 4T1 breast and MC38 colorectal cancers. Transcriptomic analyses reveal that CpG@MSN-PEG/PEI@OMVs enhance mitochondrial oxidative phosphorylation in T cells within tumor-draining lymph nodes, mitigating T cell exhaustion and restoring metabolic fitness. These results support the potential of CpG@MSN-PEG/PEI@OMVs as a modular nanoplatform to modulate innate and adaptive immunity in cancer immunotherapy. © 2025 The Authors. Published by American Chemical Society.

关键词： bacterial outer membrane vesicles mesoporous silica nanoparticles mitochondrial activity T cell exhaustion phenotypes tumor microenvironment

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Long-lasting superhydrophiilic PDMS surface by atmospheric-pressure plasma polymerization

Long-lasting superhydrophiilic PDMS surface by atmospheric-p...

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15th International Conference on Miniaturized systems for Chemistry and Life Sciences 2011, MicroTAS 2011

作者： Lee, Donghee Hyun, Ji-Chul Hong, Sung A. Yang, Sung Graduate-program of Medical System Engineering Korea Republic of School of Mechatronics Korea Republic of Department of Nanobio Materials and Electronics GIST Korea Republic of

ISBN: (纸本)9781618395955

In this study, a method to modify hydrophobic PDMS (Polydimethylsiloxane) surface to be long-lasting hydrophilic surface by applying atmospheric-pressure plasma polymerization is proposed. To enhance the sustainability of the modified hydrophilic PDMS, two kinds of plasma polymerized layers were implemented on the surface of the PDMS block sequentially. The highly cross-linked hydrocarbon layer deposited by atmospheric-pressure plasma polymerization from CH 4 plays a role as a physical barrier layer (PBL) to prevent hydrophobic recovery of the hydrophilic layer deposited from TEOS (Tetraethylorthosilicate) and O2. The modified PDMS surface shows long-lasting superhydrophilic wetting property over 28 days of aging time. Copyright © (2011) by the Chemical and Biological Microsystems Society.

关键词： Surface treatment

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Mobile Sleep Stage Analysis Using Multichannel Wearable Devices Integrated with Stretchable Transparent Electrodes

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ACS Sensors 2025年 2025 May 15页

作者： Um, Hyun-Kyung Noh, Eunseo Yoo, Chaehwa Lee, Hyang Woon Kang, Je-Won Lee, Byoung Hoon Lee, Jung-Rok Department of Mechanical and Biomedical Engineering Ewha Womans University Seoul 03760 South Korea Graduate Program in Smart Factory Ewha Womans University Seoul 03760 South Korea Department of Chemical Engineering and Materials Science Ewha Womans University Seoul 03760 South Korea Graduate Program in System Health Science and Engineering Ewha Womans University Seoul 03760 South Korea School of Electrical Engineering Chungbuk National University Cheongju 28644 South Korea Department of Neurology and Medical Science School of Medicine Ewha Womans University Seoul 03760 South Korea Ewha Medical Research Institute Ewha Womans University Seoul 03760 South Korea Department of Electronic and Electrical Engineering Ewha Womans University Seoul 03760 South Korea

The prevalence of sleep disorders in the aging population and the importance of sleep quality for health have emphasized the need for accurate and accessible sleep monitoring solutions. Polysomnography (PSG) remains the clinical gold standard for diagnosing sleep disorders;however, its discomfort and inconvenience limit its accessibility. To address these issues, a wearable device (WD) integrated with stretchable transparent electrodes (STEs) is developed in this study for multisignal sleep monitoring and artificial intelligence (AI)-driven sleep staging. Utilizing conductive and flexible STEs, the WD records multiple biological signals (electroencephalogram [EEG], electrooculogram [EOG], electromyogram [EMG], photoplethysmography, and motion data) with high precision and low noise, comparable to PSG (<4 μV_RMS). It achieves a 73.2% accuracy and a macro F1 score of 0.72 in sleep staging using an AI model trained on multisignal inputs. Notably, accuracy marginally improves when using only the EEG, EOG, and EMG channels, which may simplify future device designs. This WD offers a compact, multisignal solution for at-home sleep monitoring, with the potential for use as an evaluation tool for personalized sleep therapies. © 2025 American Chemical Society.

关键词： biopotential signals deep-learning algorithm electroencephalography sleep stage analysis stretchable transparent electrodes wearable devices

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Biomedical data and AI

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Science China Life Sciences 2025年第5期68卷 1536-1540页

作者： Hao Xu Shibo Zhou Zefeng Zhu Vincenzo Vitelli Liangyi Chen Ziwei Dai Ning Yang Luhua Lai Shengyong Yang Sergey Ovchinnikov Zhuoran Qiao Sirui Liu Chen Song Jianfeng Pei Han Wen Jianfeng Feng Yaoyao Zhang Zhengwei Xie Yang-Yu Liu Zhiyuan Li Fulai Jin Hao Li Mohammad Lotfollahi Xuegong Zhang Ge Yang Shihua Zhang Ge Gao Pulin Li Qi Liu Jing-Dong Jackie Han Peking-Tsinghua Center for Life Sciences (CLS) Academy for Advanced Interdisciplinary StudiesPeking University Center for Quantitative Biology (CQB) Academy for Advanced Interdisciplinary StudiesPeking University Peking University-Tsinghua University-National Institute of Biological Sciences Joint Graduate Program Academy for Advanced Interdisciplinary StudiesPeking University Department of Physics University of Chicago School of Life Sciences Southern University of Science and Technology Peking University Chengdu Academy for Advanced Interdisciplinary Biotechnologies College of Chemistry and Molecular Engineering Peking University Department of Biotherapy Cancer Center and State Key Laboratory of BiotherapyWest China HospitalSichuan University Department of Biology Massachusetts Institute of Technology Lambic Therapeutics Inc. Changping Laboratory Al for Science Institute Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence Fudan University Department of Obstetrics and Gynecology West China Second University HospitalSichuan University Peking University International Cancer Institute and Peking University-Yunnan Baiyao International Medical Institute and State Key Laboratory of Natural and Biomimetic Drugs Department of Molecular and Cellular PharmacologySchool of Pharmaceutical SciencesPeking University Health Science CenterPeking University Channing Division of Network Medicine Department of MedicineBrigham and Women's Hospital and Harvard Medical School Center for Artificial Intelligence and Modeling the Carl R.Woese Institute for Genomic BiologyUniversity of Illinois Urbana-Champaign Department of Genetics and Genome Sciences School of Medicine and Department of Computer and Data Sciences and Department of Population and Quantitative Health SciencesCase Western Reserve University Department of Biochemistry and Biophysics University of California Sanger Institute Department of Automation Tsinghua University State Key Laboratory of Multimodal Artificial Intelligence Systems I

The development of artificial intelligence(AI) and the mining of biomedical data complement each other. From the direct use of computer vision results to analyze medical images for disease screening, to now integrating biological knowledge into models and even accelerating the development of new AI based on biological discoveries, the boundaries of both are constantly expanding, and their connections are becoming closer.

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Silica nanochannel device for pH sensing based on surface charge density changes

Silica nanochannel device for pH sensing based on surface ch...

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2010 10th IEEE Conference on Nanotechnology, NANO 2010

作者： Lee, Sang Young Yoon, Sang Youl Lee, Kyeong-Hwan Yang, Sung Department of Nanobio Material and Electronics School of Information and Mechatronics GIST Korea Republic of Graduate- Program of Medical System Engineering Biomedical Micro/Nano Device Laboratory GIST Korea Republic of

ISBN: (纸本)9781424470334

This paper demonstrates a novel micro/nano fluidic device for continuous pH sensing of small fluid volumes. The working principle of the device is based on the change of the surface charge density within the silica nano channels with respect to the pH levels of the electrolyte. In order to measure pH levels of various solutions, AC potential is applied along the silica nanochannels which have 50 nm depth, 2 μm width, and 30 μm length. The running current along the nanofluidic channels is directly measured with respect to pH levels. It was found that the running current is inversely proportional to pH levels regardless of ion concentrations. ©2010 IEEE.

关键词： Electrolytes

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A novel peristaltic micropump using three wings with different widths for fluid circulation

A novel peristaltic micropump using three wings with differe...

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14th International Conference on Miniaturized systems for Chemistry and Life Sciences 2010, MicroTAS 2010

作者： Mun, Byung Phil Park, Chang Ju Yoo, Sung Keun Lee, Jong Hyun School of Information and Mechatronics GIST Gwangju Korea Republic of Graduate Program of Medical System Engineering GIST Gwangju Korea Republic of Dept. of Nanobio Materials and Electronics GIST Gwangju Korea Republic of

ISBN: (纸本)9781618390622

This paper reports a novel micropump to effectively rotate fluid in a circular channel. The proposed micropump having different wing widths, which squeezes the flexible part of the fluidic channel at a different time interval, provides a peristaltic effect with a single pneumatic pressure source. This allows simple operation and easy integration with a micro total analysis system (μ-TAS).

关键词： Flexible structures

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Machine learning-based analysis on factors influencing blood heavy metal concentrations in the Korean CHildren's ENvironmental health Study (Ko-CHENS)

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Science of the Total Environment 2025年 978卷

作者： Jung, Seowoo Shah, Surabhi Oh, Jongmin Bang, Yoorim Lee, Ji Hyen Kim, Hwan-Cheol Jeong, Kyoung Sook Park, Huibyeol Lee, Eun-Kyung Hong, Yun-Chul Ha, Eunhee Department of Statistics Ewha Womans University Seoul Korea Republic of Department of Environmental Medicine College of Medicine Ewha Womans University Seoul Korea Republic of Department of Human Systems Medicine College of Medicine Seoul National University Seoul Korea Republic of College of Medicine Ewha Womans University Seoul Korea Republic of Institute for Development and Human Security Ewha Womans University Seoul Korea Republic of Department of Pediatrics College of Medicine Ewha Womans University Seoul Korea Republic of Department of Occupational and Environmental Medicine College of Medicine Inha University Hospital Inha University Incheon Korea Republic of Department of Occupational and Environmental Medicine Wonju College of Medicine Wonju Severance Christian Hospital Yonsei University Wonju Korea Republic of Environmental Health Research Division National Institute of Environmental Research Incheon Korea Republic of Institute of Environmental Medicine Medical Research Center Seoul National University Korea Republic of Graduate Program in System Health Science and Engineering Ewha Womans University Ewha Medical Research Institute College of Medicine Seoul Korea Republic of

Heavy metal concentration in pregnant women affects neurocognitive and behavioral development of their infants and children. The majority of existing research focusing on pregnant women's heavy metal concentration has considered individual environmental factor. In this study, we aim to comprehensively consider lifestyle, food, and environmental factors to determine the most influential factor affecting heavy metal concentration in pregnant women. The Ko-CHENS (Korean CHildren health and ENvironmental Study) is a nationwide prospective birth cohort study in South Korea enrolling pregnant women from 2015 to 2020. A total of 5458 eligible pregnant women were included in this study, and 897 variables were included in questionnaire comprising: maternal general information, indoor and living environment, dietary habits, health behavior, exposure to chemicals. Lead, cadmium and mercury concentration on blood were measured in early, late pregnancy and in cord blood at birth. Variables that might be related to heavy metal concentrations were included in machine learning models. Random forest and XGBoost machine learning models were conducted for predictions. Both models had similar but better performance than multiple linear regression. Kimchi (β = 1.55), seaweed (β = 0.40), fatty fish (β = 1.55), intakes respectively affected lead, cadmium, and mercury exposure through early, late pregnancy and cord blood. © 2025

关键词： Obstetrics

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Sex-specific effects of prenatal exposure to phthalates and bisphenol A on adverse birth outcomes: Results from The Korean CHildren's ENvironmental health Study (Ko-CHENS)

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Environment International 2025年 199卷 109518页

作者： Oh, Jongmin Shah, Surabhi Lee, Kyung A Park, Eunkyo Lee, Dong-Wook Hong, Yun-Chul Song, Sanghwan Kim, Sung Yeon Park, Huibyeol Kim, Hwan-Cheol Jeong, Kyoung Sook Ha, Eunhee Department of Environmental Medicine College of Medicine Ewha Womans University Seoul Korea Republic of College of Medicine Ewha Womans University Seoul Korea Republic of Department of Human Systems Medicine College of Medicine Seoul National University Seoul Korea Republic of Department of Obstetrics and Gynecology College of Medicine Ewha Womans University Seoul Korea Republic of Department of Occupational and Environmental Medicine Inha University Hospital Inha University Incheon Korea Republic of Institute of Environmental Medicine Medical Research Center Seoul National University Korea Republic of Environmental Health Research Division National Institute of Environmental Research Incheon Korea Republic of Department of Occupational and Environmental Medicine College of Medicine Wonju Severance Christian Hospital Yonsei University Wonju Korea Republic of Graduate Program in System Health Science and Engineering Ewha Womans University Ewha Medical Research Institute College of Medicine Seoul Korea Republic of

Objectives: Although previous epidemiological studies have reported the effects of fetal exposure to phthalates and phenols on birth outcomes, evidence is still limited. The objective of this study was to investigate whether prenatal exposure to endocrine-disrupting chemicals [EDCs;phthalates and bisphenol A (BPA)] is associated with birth outcomes and whether there are sex-specific effects. Methods: We used data from the Korean CHildren's ENvironmental health Study (Ko-CHENS) cohort. Exposure to phthalates and BPA was measured by urine tests, and the information on outcomes and confounders was obtained from delivery records, biomarker assessment, and a self-reported questionnaire. We performed multivariate logistic regression to estimate the association between exposure to individual phthalates and bisphenol A and birth outcomes. Additionally, to evaluate the effects of EDC mixture exposure, we performed weighted quantile sum regression analysis. Subgroup analysis stratified by maternal age and sex at birth was performed to examine potential differences in associations. Results: This study included 2,176 mother–child pairs from the Ko-CHENS. We observed a significant association between the risk of PTB and exposure to BPA during early pregnancy and mono-carboxyoctyl phthalate (MCOP) during late pregnancy, with odds ratios of 1.23 (95% CI: 1.01, 1.49) and 1.29 (95% CI: 1.03, 1.62), respectively. Additionally, there was a significant association between exposure to MCOP during early pregnancy and the risk of LBW (OR: 1.39, 95% CI: 1.03, 1.89). For male infants in particular, exposure to MCOP during early pregnancy was associated with the risk of LBW (OR: 2.44, 95% CI: 1.43, 4.15), and exposure to MCOP during late pregnancy was associated with the risk of PTB (OR 1.45, 95% CI: 1.05, 2.02). Conclusions: This study suggests a potential association between exposure to BPA during early pregnancy and PTB, while exposure to MCOP during late pregnancy was associated with inc

关键词： Logistic regression

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