Associations of Placental Inflammation and Oxidative Stress Biomarkers with Glucolipid Metabolism in Children: A Birth Cohort Study in China
Open accessAbstract
Background: The maternal intrauterine immune environment may affect offspring long‐term health. We aimed to investigate the association between the intrauterine placental immunological milieu and glycolipid metabolic health in children. Methods and Results: This study enrolled 1803 mother–child pairs from the Ma'anshan birth cohort (2013–2014). Placental mRNA expression of inflammatory cytokines (interleukin‐1β [IL‐1β], IL‐10, monocyte chemoattractant protein‐1, tumor necrosis factor‐α, IL‐4, IL‐6, IL‐8, C‐reactive protein, and interferon‐γ) and oxidative stress biomarkers (heme oxygenase‐1, hypoxia‐inducible factor‐1alpha, and glucose‐related protein 78) was quantified using real‐time quantitative polymerase chain reaction. Fasting blood glucose, insulin, triglycerides, high‐density lipoprotein cholesterol, low‐density lipoprotein cholesterol, and total cholesterol were assessed at 5 to 6 years old. Statistical analyses included multiple linear regression, binary logistic regression, restricted cubic spline model, and the Bayesian kernel machine regression model. Placental inflammatory cytokines (IL‐1β, monocyte chemoattractant protein‐1, C‐reactive protein, IL‐6, IL‐8, IL‐10) and oxidative stress biomarkers (heme oxygenase‐1, hypoxia‐inducible factor‐1alpha, glucose‐related protein 78) showed positive associations with children's fasting blood glucose levels. Heme oxygenase‐1 and glucose‐related protein 78 exhibited negative correlations with children's fasting insulin levels. Elevated IL‐6, heme oxygenase‐1, hypoxia‐inducible factor‐1alpha, and glucose‐related protein 78 were associated with increased risk of prediabetes in children. Overall upregulation of placental proinflammatory cytokines and oxidative stress factors mRNA expression correlated with higher prediabetes risk in children. Bayesian kernel machine regression analysis indicated a joint positive effect of the 12 placental inflammation and oxidative stress mixtures on children's risk of high fasting blood glucose. Conclusions: This exploratory study underscores significant correlations between maternal intrauterine placental inflammation, oxidative stress markers, and offspring fasting blood glucose and insulin levels. These findings highlight the potential role of intrauterine holistic immunity in shaping offspring glucose metabolism health.
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In a birth cohort of 1803 mother-child pairs, placental inflammatory and oxidative-stress mRNA markers were associated with fasting glucose, insulin and prediabetes risk at 5-6 years.
“A birth cohort of 1803 mother–child pairs extended the placental link beyond birth: placental inflammatory and oxidative-stress mRNA markers were associated with fasting glucose, insulin and prediabetes risk at 5–6 years [139].”
From Placental Pathophysiology and Developmental Programming of Adult Cardiometabolic Risk: A Narrative Review of Pregnancy Exposures (2026) · cites this paper as [139]
This placenta-to-child evidence does not include a single defined maternal exposure and does not establish adult disease.
“This is comparatively integrated placenta-to-child evidence, but it does not include a single defined maternal exposure and does not establish adult disease.”
From Placental Pathophysiology and Developmental Programming of Adult Cardiometabolic Risk: A Narrative Review of Pregnancy Exposures (2026) · cites this paper as [139]
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Cites
Diagnosis and classification of diabetes mellitus
American Diabetes Association (2014) · Diabetes Care · doi:10.2337/dc14-s081 · Cited by 5,974 · see citing works
Type 2 diabetes as an inflammatory disease
Donath, M. Y., & Shoelson, S. E. (2011) · Nature Reviews Immunology · doi:10.1038/nri2925 · Cited by 3,737 · see citing works
Fetal origins of coronary heart disease
Barker, D. J. P. (1995) · BMJ · doi:10.1136/bmj.311.6998.171 · Cited by 3,570 · see citing works
Inflammation as a link between obesity, metabolic syndrome and type 2 diabetes
Esser, N., Legrand-Poels, S., Piette, J., Scheen, A. J., & Paquot, N. (2014) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2014.04.006 · Cited by 1,981 · see citing works
Decidual NK cells regulate key developmental processes at the human fetal-maternal interface
Hanna, J. H., Goldman‐Wohl, D., Hamani, Y., Avraham, I., Greenfield, C., Natanson‐Yaron, S., Prus, D., Cohen‐Daniel, L., Arnon, T. I., Manaster, I., et al. (2006) · Nature Medicine · doi:10.1038/nm1452 · Cited by 1,690 · see citing works
Regulatory T cells mediate maternal tolerance to the fetus
Aluvihare, V. R., Kallikourdis, M., & Betz, A. G. (2004) · Nature Immunology · doi:10.1038/ni1037 · Cited by 1,661 · see citing works
The cellular and signaling networks linking the immune system and metabolism in disease
Osborn, O., & Olefsky, J. M. (2012) · Nature Medicine · doi:10.1038/nm.2627 · Cited by 1,551 · see citing works
Inflammation and pregnancy: the role of the immune system at the implantation site
Mor, G., Cardenas, I., Abrahams, V. M., & Guller, S. M. (2011) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2010.05938.x · Cited by 1,111 · see citing works
Bobb, J. F., Henn, B. C., Valeri, L., & Coull, B. A. (2018) · Environmental Health · doi:10.1186/s12940-018-0413-y · Cited by 1,091 · see citing works
Tennant, P. W. G., Murray, E. J., Arnold, K. F., Berrie, L., Fox, M. P., Gadd, S. C., Harrison, W. J., Keeble, C. M., Ranker, L. R., Textor, J. C., et al. (2020) · International Journal of Epidemiology · doi:10.1093/ije/dyaa213 · Cited by 1,065 · see citing works
Immunity, atherosclerosis and cardiovascular disease
Frostegård, J. (2013) · BMC Medicine · doi:10.1186/1741-7015-11-117 · Cited by 1,040 · see citing works
Oxidative stress in health and disease: The therapeutic potential of Nrf2 activation
Hybertson, B. M., Gao, B., Bose, S. K., & McCord, J. M. (2011) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2011.10.006 · Cited by 1,029 · see citing works
Immunology of the Maternal-Fetal Interface
Erlebacher, A. (2013) · Annual Review of Immunology · doi:10.1146/annurev-immunol-032712-100003 · Cited by 992 · see citing works
A Clinical Trial to Maintain Glycemic Control in Youth with Type 2 Diabetes
TODAY Study Group (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1109333 · Cited by 978 · see citing works
Inflammatory Markers and Risk of Type 2 Diabetes
Wang, X., Bao, W., Liu, J., OuYang, Y.-Y., Wang, D., Rong, S., Xiao, X., Shan, Z.-L., Zhang, Y., Yao, P., et al. (2013) · Diabetes Care · doi:10.2337/dc12-0702 · Cited by 820 · see citing works
Childhood obesity as a predictor of morbidity in adulthood: a systematic review and meta‐analysis
Llewellyn, A., Simmonds, M. C., Owen, C. G., & Woolacott, N. F. (2015) · Obesity Reviews · doi:10.1111/obr.12316 · Cited by 820 · see citing works
Obesity in Pregnancy Stimulates Macrophage Accumulation and Inflammation in the Placenta
Challier, J. C., Basu, S., Bintein, T., Minium, J., Hotmire, K., Catalano, P. M., & Hauguel-de Mouzon, S. (2008) · Placenta · doi:10.1016/j.placenta.2007.12.010 · Cited by 712 · cited 1× · see citing works
“16,17 Additionally, the placenta can induce inflammation and insulin resistance by releasing proinflammatory cytokines and oxidative stress markers.”
Using false discovery rates for multiple comparisons in ecology and evolution
Pike, N. (2010) · Methods in Ecology and Evolution · doi:10.1111/j.2041-210x.2010.00061.x · Cited by 631 · see citing works
Oxidative stress and inflammatory markers in prediabetes and diabetes.
Luc, K., Schramm‐Luc, A., Guzik, T. J., & Mikolajczyk, T. P. (2019) · PubMed · doi:10.26402/jpp.2019.6.01 · Cited by 589 · see citing works
Burgos‐Morón, E., Abad‐Jiménez, Z., Marañón, A., Iannantuoni, F., Escribano‐López, I., López‐Domènech, S., Salom, C., Jover, A., Llabata, V. M., Torres, I. R., et al. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8091385 · Cited by 586 · see citing works
Lowe, W. L., Scholtens, D. M., Kuang, A., Linder, B., Lawrence, J. M., Lebenthal, Y., McCance, D., Hamilton, J., Nodzenski, M., Talbot, O., et al. (2019) · Diabetes Care · doi:10.2337/dc18-1646 · Cited by 574 · see citing works
Inflammation and Cardiovascular Disease: From Pathogenesis to Therapeutic Target
Golia, E., Limongelli, G., Natale, F., Fimiani, F., Maddaloni, V., Pariggiano, I., Bianchi, R., Crisci, M., D’Acierno, L., Giordano, R. C., et al. (2014) · Current Atherosclerosis Reports · doi:10.1007/s11883-014-0435-z · Cited by 564 · see citing works
Developmental origins of metabolic diseases
Hoffman, D. J., Powell, T. L., Barrett, E. S., & Hardy, D. B. (2020) · Physiological Reviews · doi:10.1152/physrev.00002.2020 · Cited by 483 · see citing works
Role of Interleukin-6 in Development of Insulin Resistance and Type 2 Diabetes Mellitus
Rehman, K., Akash, M. S. H., Liaqat, A., Kamal, S., Qadir, M. I., & Rasul, A. (2017) · Critical Reviews in Eukaryotic Gene Expression · doi:10.1615/critreveukaryotgeneexpr.2017019712 · Cited by 378 · see citing works
Gabory, A., Roseboom, T. J., Moore, T., Moore, L. G., & Junien, C. (2013) · Biology of Sex Differences · doi:10.1186/2042-6410-4-5 · Cited by 344 · see citing works
Mechanisms of T cell tolerance towards the allogeneic fetus
Erlebacher, A. (2012) · Nature reviews. Immunology · doi:10.1038/nri3361 · Cited by 302 · see citing works
Maternal nutrition, intrauterine programming and consequential risks in the offspring
Yajnik, C. S., & Deshmukh, U. (2008) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-008-9087-z · Cited by 194 · see citing works
Rubin, D.B.: Multiple imputation for nonresponse in surveys
Toutenburg, H. (1990) · Statistical Papers · doi:10.1007/bf02924688 · Cited by 184 · see citing works
Youth-Onset Type 2 Diabetes: The Epidemiology of an Awakening Epidemic.
Perng, W., Conway, R., Mayer-Davis, E., & Dabelea, D. (2023) · Diabetes Care · doi:10.2337/dci22-0046 · Cited by 182 · see citing works
Koskinen, J. M., Magnussen, C. G., Sinaiko, A. R., Woo, J. G., Urbina, E. M., Jacobs, D. R., Steinberger, J., Prineas, R. J., Sabin, M. A., Burns, T. L., et al. (2017) · Journal of the American Heart Association · doi:10.1161/jaha.117.005632 · Cited by 176 · see citing works
The RISE Consortium, Nadeau, K. J., Hannon, T. S., Edelstein, S. L., Arslanian, S. A., Caprio, S., Leschek, E. W., Zeitler, P. S., Buchanan, T. A., Ehrmann, D. A., et al. (2018) · Diabetes Care · doi:10.2337/dc18-0787 · Cited by 176 · see citing works
Review: Sexual dimorphism in the formation, function and adaptation of the placenta
Kalisch-Smith, J. I., Simmons, D. G., Dickinson, H., & Moritz, K. M. (2016) · Placenta · doi:10.1016/j.placenta.2016.12.008 · Cited by 171 · see citing works
Breastfeeding and Type 2 Diabetes: Systematic Review and Meta-Analysis
Horta, B. L., & Lima, N. P. (2019) · Current Diabetes Reports · doi:10.1007/s11892-019-1121-x · Cited by 158 · see citing works
Herder, C., Baumert, J. J., Thorand, B., Köenig, W., de Jager, W., Meisinger, C., Illig, T., Martin, S., & Kolb, H. (2006) · Diabetologia · doi:10.1007/s00125-006-0190-y · Cited by 152 · see citing works
Yoshida, Y., & Simões, E. J. (2018) · Current Diabetes Reports · doi:10.1007/s11892-018-1004-6 · Cited by 134 · see citing works
Khambule, L., & George, J. A. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-12668-1_12 · Cited by 109 · see citing works
Li, Y.-X., Long, D., Liu, J., Qiu, D., Wang, J., Cheng, X., Yang, X., Li, R., & Wang, G. (2020) · Medicine · doi:10.1097/md.0000000000022152 · Cited by 104 · see citing works
Wallace, J. G., Bellissimo, C. J., Yeo, E., Xia, Y. F., Petrik, J., Surette, M. G., Bowdish, D. M. E., & Sloboda, D. M. (2019) · Scientific Reports · doi:10.1038/s41598-019-54098-x · Cited by 99 · see citing works
The effect of maternal Inflammation on foetal programming of metabolic disease
Ingvorsen, C., Brix, S., Ozanne, S. E., & Hellgren, L. (2015) · Acta Physiologica · doi:10.1111/apha.12533 · Cited by 80 · see citing works
Inflammatory predictors of neurologic disability after preterm premature rupture of membranes
Armstrong, J., Donnelly, M. A., Post, M. D., Manco‐Johnson, M. J., Winn, V. D., & Sébire, G. (2014) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2014.09.016 · Cited by 73 · see citing works
Yajnik, C., Katre, P. A., Joshi, S. M., Kumaran, K., Bhat, D., Lubree, H., Memane, N. S., Kinare, A., Pandit, A., Bhave, S., et al. (2015) · Diabetologia · doi:10.1007/s00125-015-3602-z · Cited by 67 · see citing works
Sex modifies placental gene expression in response to metabolic and inflammatory stress
Barke, T. L., Money, K. M., Du, L., Serezani, A. P. M., GANNON, M. A., Mirnics, K., & Aronoff, D. M. (2019) · Placenta · doi:10.1016/j.placenta.2019.02.008 · Cited by 62 · see citing works
Zhu, Y., Wu, X., Yan, S., Huang, K., Tong, J., Gao, H., Xie, Y., Tao, S., Ding, P., Zhu, P., et al. (2020) · Environment International · doi:10.1016/j.envint.2020.105882 · Cited by 62 · see citing works
Self-citationTong, M., & Abrahams, V. M. (2020) · Obstetrics and Gynecology Clinics of North America · doi:10.1016/j.ogc.2019.10.006 · Cited by 55 · see citing works
Crosstalk between Metabolic Disorders and Immune Cells
Saitoh, S., van Wijk, K., & Nakajima, O. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms221810017 · Cited by 44 · see citing works
Zi, C., He, L., Yao, H., Ren, Y., He, T., & Gao, Y. (2022) · Endocrine · doi:10.1007/s12020-022-03043-6 · Cited by 44 · see citing works
Genetic Predispositions to Low-Grade Inflammation and Type 2 Diabetes
Fernández‐Real, J. M. (2006) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2006.8.55 · Cited by 34 · see citing works
Nourbakhsh, M., Sharifi, R., Heydari, N., Nourbakhsh, M., Ezzati‐Mobaser, S., & Zarrinnahad, H. (2021) · Journal of Endocrinological Investigation · doi:10.1007/s40618-021-01683-5 · Cited by 33 · see citing works
Zhou, J., Tong, J., Ru, X., Teng, Y., Geng, M., Yan, S., Tao, F., & Huang, K. (2023) · BMC Medicine · doi:10.1186/s12916-023-03173-2 · Cited by 32 · see citing works
Self-citationYeates, A. J., McSorley, E. M., Mulhern, M. S., Spence, T., Crowe, W., Grzesik, K., Thurston, S. W., Watson, G. E., MYERS, G. J., Davidson, P. W., et al. (2019) · Journal of Reproductive Immunology · doi:10.1016/j.jri.2019.102623 · Cited by 30 · see citing works
Maguire, R. L., House, J. S., Lloyd, D., Skinner, H. G., Allen, T. K., Raffi, A. M., Skaar, D. A., Park, S. S., McCullough, L. E., Kollins, S. H., et al. (2020) · Pediatric Obesity · doi:10.1111/ijpo.12763 · Cited by 29 · see citing works
Molecular phenotype of monocytes at the maternal–fetal interface
Basu, S., Leahy, P. S., Challier, J.-C., Minium, J., Catalano, P., & Mouzon, S. H. (2011) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2011.06.037 · Cited by 27 · see citing works
Maternal cytokine status may prime the metabolic profile and increase risk of obesity in children
Englich, B., Herberth, G., Rolle-Kampczyk, U. E., Trump, S., Röder, S. W., Borte, M., Stangl, G. I., von Bergen�, M., Lehmann, I., & Junge, K. M. (2017) · International Journal of Obesity · doi:10.1038/ijo.2017.113 · Cited by 24 · see citing works
Bao, W., Rong, S., Zhang, M., Yu, X., Zhao, Y., Xiao, X., Yang, W. Q., Wang, D., Yao, P., Hu, F. B., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0032223 · Cited by 18 · see citing works
Monzon, A. D., Patton, S. R., & Koren, D. (2021) · Pediatric Pulmonology · doi:10.1002/ppul.25651 · Cited by 16 · see citing works
Gao, H., Geng, M., Tong, J., Wang, B., Huang, K., Zhang, Y., Gan, H., Zhu, B., Ding, P., Wang, Q.-N., et al. (2022) · Chemosphere · doi:10.1016/j.chemosphere.2022.137135 · Cited by 12 · see citing works
Self-citation
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Research works printed but not linked: 1
- [26]Editorial Board of the Chinese Journal of Paediatrics, Child Health Care Group of the Paediatrics Division of the Chinese Medical Association, Cardiovascular Group of the Paediatrics Division of the Chinese Medical Association, Atherosclerosis Group of the Cardiovascular Disease Division of the Chinese Medical Association. Expert Consensus on Prevention and Treatment of Dyslipidaemia in Children and Adolescents. 2009.
Cited by
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Zhou, J., Tong, J., Chen, S., Wang, X., Liang, C., Sheng, J., Gao, G., Cao, H., Yan, S., Tao, F., et al. (2025) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2025.140380 · Cited by 6 · see citing works
Self-citationZhou, J., Tong, J., Liang, C., Chen, S., Sheng, J., Gao, G., Cao, H., Yan, S., Tao, F., & Huang, K. (2025) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2025.139312 · Cited by 3 · see citing works
Self-citationZhang, J., Wang, J., Xu, D., Wu, F., & Gui, Y. (2025) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2025.110038 · Cited by 1 · see citing works
Tao, S. M., Tong, J., Lu, M., Zhu, D., Jiang, L., Gao, G., Yan, S., Wu, X., Huang, K., & Tao, F. (2026) · British Journal of Ophthalmology · doi:10.1136/bjo-2025-328469 · Cited by 1 · see citing works
Self-citationPanteris, E., Kakatsaki, I., Koukou, Z., Kolvatzis, C., Papanikolaou, S., & Hatzidaki, E. (2026) · Pathophysiology · doi:10.3390/pathophysiology33030067
Xu, Y., Cao, Y., Zou, L., Wulanna, Liu, X., Yan, S., Liu, C., Gao, M., Zhan, J., Wang, Q., et al. (2026) · Frontiers in Endocrinology · doi:10.3389/fendo.2026.1744741
Self-citationXu, Y., Yang, H., Xu, Q., Yu, X., Dai, S., Zhang, X., Shen, W., & Zhu, X. (2026) · Current Obesity Reports · doi:10.1007/s13679-026-00727-2
- Authors
- Zhou, J., Teng, Y., Ouyang, J., Wu, P., Tong, J., Gao, G., Yan, S., Tao, F., & Huang, K.
- Affiliations
- Anhui Medical University (CN)
- Anhui Medical University
- Maternal and Child Health Care Center of Ma’anshan
- Corresponding author
- Huang, Kun
- Venue
- Journal of the American Heart Association
- Published
- 2024-09-03
- Volume
- 13
- Issue
- 17
- Pages
- e035754-e035754
- ISSN
- 2047-9980 (ISSN-L)
- PMC
- PMC11646502
- OpenAlex
- W4402006463
- Cited by
- 7
- References
- 56
- Citations by year
- 2026: 4 · 2025: 3
- FWCI
- 4.74
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- Journal of the American Heart Association (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Natural Science Foundation of China
- Anhui Medical University
- National Key Research and Development Program of China
- Topics
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Birth, Development, and Health
- Health Sciences › Medicine › Obstetrics and Gynecology › Gestational Diabetes Research and Management
- Health Sciences › Medicine › Obstetrics and Gynecology › Pregnancy and preeclampsia studies
- Keywords
- placental inflammation, oxidative stress, heme oxygenase-1, hypoxia-inducible factor-1α, prediabetes, fasting blood glucose, insulin, children, maternal-fetal immune interaction, glycolipid metabolism
- MeSH terms
- Adult, Blood Glucose, Child, Child, Preschool, China, Female, Humans, Inflammation, Lipids, Male, Placenta, Pregnancy, Biomarkers, Cytokines, Oxidative Stress, Inflammation Mediators
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