Metabolic profiles in early pregnancy associated with metabolic pregnancy complications in women with obesity
Open accessAbstract
Higher maternal body mass index (BMI) is associated with metabolic disturbances and pregnancy complications. We aimed to examine whether metabolic profiles in early pregnancy were associated with metabolic pregnancy complications in women with obesity (BMI ≥ 30 kg/m 2 ). Nested cohort study from a prospective longitudinal cohort ( n = 1031) of women who were healthy prior to pregnancy and gave birth at Oslo University Hospital from 2002–2008. The sample comprised 81 women with obesity. Metabolic pregnancy complications included gestational diabetes mellitus, gestational hypertension and preeclampsia. In plasma samples from gestational weeks 14–16, 91 metabolites were analyzed by nuclear magnetic resonance spectroscopy. We performed a principal component analysis to reduce the metabolic dimensions. Logistic regression models were fitted to estimate crude and adjusted odds ratios (ORs) of metabolic pregnancy complications. Twenty-four out of 81 women developed metabolic pregnancy complications (gestational hypertension, preeclampsia, and/or gestational diabetes). Two of five principal components (80 % explained variance) were significantly associated with metabolic pregnancy complications. The ratio of monounsaturated to total fatty acids increased the risk of metabolic pregnancy complications (OR 2.09, 95 % confidence interval [CI] 1.25–3.75), while the ratio of polyunsaturated to monounsaturated fatty acids decreased the risk (OR 0.54, 95 % CI 0.30–0.89). The ratio of omega-3 to total fatty acids (OR 0.59, 95 % CI 0.34–0.98) and the ratio of docosahexaenoic acid to total fatty acids (OR 0.57, 95 % CI 0.31–0.97) also decreased the risk of metabolic pregnancy complications. Metabolic profile in early pregnancy was associated with risk of metabolic pregnancy complications in women with obesity. We observed the strongest associations between fatty acid composition and metabolic pregnancy complications. Graphcal abstract created with BioRender.com. The map of Norway is generated using Servier Medical Art, provided by Servier, licensed under a Creative Commons Attribution 3.0 unported license. • Maternal obesity was associated with metabolic disturbances and pregnancy complications. • Maternal early pregnancy metabolites were associated with metabolic pregnancy complications. • Higher monounsaturated fatty acids increased the risk of metabolic pregnancy complications. • Higher polyunsaturated fatty acids, omega-3, and DHA decreased the risk of metabolic pregnancy complications. • Future studies should investigate whether interventions aimed to improve fatty acid composition could prevent pregnancy complications.
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Metabolic profiling in early pregnancy has shown unique metabolic signatures of obesity that can predict the development of later complications and metabolic consequences.
“Moreover, metabolic profiling in early pregnancy has shown unique metabolic signatures of obesity that can predict the development of later complications and metabolic consequences (13).”
From Maternal nutritional status and the risk of metabolic syndrome in pregnancy: implications for public health nutrition (2026) · cites this paper as [13]
Cites
Use and Abuse of HOMA Modeling
Wallace, T. M., Levy, J. C., & Matthews, D. R. (2004) · Diabetes Care · doi:10.2337/diacare.27.6.1487 · Cited by 5,114 · see citing works
Gestational Hypertension and Preeclampsia
(2020) · Obstetrics & Gynecology · doi:10.1097/aog.0000000000003891 · Cited by 2,949 · see citing works
Inflammatory links between obesity and metabolic disease
Lumeng, C. N., & Saltiel, A. R. (2011) · Journal of Clinical Investigation · doi:10.1172/jci57132 · Cited by 2,319 · see citing works
Adipose tissue inflammation and metabolic dysfunction in obesity
Kawai, T., Autieri, M. V., & Scalia, R. (2021) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00379.2020 · Cited by 1,947 · see citing works
Role of Fatty Acids in the Pathogenesis of Insulin Resistance and NIDDM
Boden, G. (1997) · Diabetes · doi:10.2337/diab.46.1.3 · Cited by 1,728 · see citing works
Catalano, P. M., & Shankar, K. (2017) · BMJ · doi:10.1136/bmj.j1 · Cited by 1,306 · see citing works
Maternal Obesity and Risk of Gestational Diabetes Mellitus
Chu, S. Y., Callaghan, W. M., Kim, S. Y., Schmid, C. H., Lau, J., England, L. J., & Dietz, P. M. (2007) · Diabetes Care · doi:10.2337/dc06-2559a · Cited by 1,114 · see citing works
Blüher, M. (2020) · Endocrine Reviews · doi:10.1210/endrev/bnaa004 · Cited by 1,090 · see citing works
Obesity, Adipose Tissue and Vascular Dysfunction
Koenen, M., Hill, M. A., Cohen, P., & Sowers, J. R. (2021) · Circulation Research · doi:10.1161/circresaha.121.318093 · Cited by 953 · see citing works
(2014) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2013.10.012 · Cited by 914 · see citing works
Soininen, P., Kangas, A. J., Würtz, P., Suna, T., & Ala‐Korpela, M. (2015) · Circulation Cardiovascular Genetics · doi:10.1161/circgenetics.114.000216 · Cited by 890 · see citing works
Obesity, Inflammation, Toll-Like Receptor 4 and Fatty Acids
Rogero, M. M., & Calder, P. C. (2018) · Nutrients · doi:10.3390/nu10040432 · Cited by 720 · see citing works
Catalano, P. M., Huston, L., Amini, S. B., & Kalhan, S. C. (1999) · American Journal of Obstetrics and Gynecology · doi:10.1016/s0002-9378(99)70662-9 · Cited by 680 · see citing works
Würtz, P., Kangas, A. J., Soininen, P., Lawlor, D. A., Smith, G. D., & Ala‐Korpela, M. (2017) · American Journal of Epidemiology · doi:10.1093/aje/kwx016 · Cited by 660 · see citing works
Metabolically healthy obesity: facts and fantasies
Smith, G. I., Mittendorfer, B., & Klein, S. (2019) · Journal of Clinical Investigation · doi:10.1172/jci129186 · Cited by 655 · see citing works
High-throughput serum NMR metabonomics for cost-effective holistic studies on systemic metabolism
Soininen, P., Kangas, A. J., Würtz, P., Tukiainen, T., Tynkkynen, T., Laatikainen, R., Järvelin, M., Kähönen, M. A. P., Lehtimäki, T. J., Viikari, J. S. A., et al. (2009) · The Analyst · doi:10.1039/b910205a · Cited by 591 · see citing works
Birthweight by gestational age in Norway
Skjærven, R., Gjessing, H. K., & Bakketeig, L. S. (2000) · Acta Obstetricia Et Gynecologica Scandinavica · doi:10.1034/j.1600-0412.2000.079006440.x · Cited by 533 · see citing works
Fetal and maternal contributions to risk of pre-eclampsia: population based study
Lie, R. T., Rasmussen, S., Brunborg, H., Gjessing, H. K., Lie-Nielsen, E., & Irgens, L. M. (1998) · BMJ · doi:10.1136/bmj.316.7141.1343 · Cited by 460 · see citing works
Gestational diabetes mellitus - A metabolic and reproductive disorder
Choudhury, A. A., & Rajeswari, V. D. (2021) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2021.112183 · Cited by 447 · see citing works
A global view of hypertensive disorders and diabetes mellitus during pregnancy
Jiang, L., Tang, K., Magee, L. A., von Dadelszen, P., Ekeroma, A., Li, X., Zhang, E., & Bhutta, Z. A. (2022) · Nature Reviews Endocrinology · doi:10.1038/s41574-022-00734-y · Cited by 314 · see citing works
Subcutaneous fat in normal and diseased states
Avram, M. M., Avram, A. S., & James, W. D. (2007) · Journal of the American Academy of Dermatology · doi:10.1016/j.jaad.2006.06.022 · Cited by 266 · see citing works
Obesity in Pregnancy: ACOG Practice Bulletin, Number 230
(2021) · Obstetrics & Gynecology · doi:10.1097/aog.0000000000004395 · Cited by 252 · see citing works
Obesity in pregnancy: prevalence and metabolic consequences
Huda, S. S., Brodie, L. E., & Sattar, N. A. (2009) · Seminars in Fetal and Neonatal Medicine · doi:10.1016/j.siny.2009.09.006 · Cited by 236 · see citing works
Placental Function in Maternal Obesity
Kelly, A. C., Powell, T. L., & Jansson, T. (2020) · Clinical Science · doi:10.1042/cs20190266 · Cited by 227 · see citing works
Creanga, A. A., Catalano, P. M., & Bateman, B. T. (2022) · New England Journal of Medicine · doi:10.1056/nejmra1801040 · Cited by 224 · see citing works
The Portal Theory Supported by Venous Drainage–Selective Fat Transplantation
Rytka, J. M., Wueest, S., Schoenle, E. J., & Konrad, D. (2010) · Diabetes · doi:10.2337/db10-0697 · Cited by 209 · see citing works
The role of obesity in preeclampsia
Roberts, J. M., Bodnar, L. M., Patrick, T. E., & Powers, R. W. (2010) · Pregnancy Hypertension · doi:10.1016/j.preghy.2010.10.013 · Cited by 205 · see citing works
Adipocytokines in Normal and Complicated Pregnancies
Briana, D. D., & Malamitsi‐Puchner, A. (2009) · Reproductive Sciences · doi:10.1177/1933719109336614 · Cited by 192 · see citing works
Fetal Growth versus Birthweight: The Role of Placenta versus Other Determinants
Roland, M. C., Friis, C., Voldner, N., Godang, K., Bollerslev, J., Haugen, G., & Henriksen, T. (2012) · PLoS ONE · doi:10.1371/journal.pone.0039324 · Cited by 167 · see citing works
Self-citationObesity: a risk factor for preeclampsia
Walsh, S. W. (2007) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2007.09.003 · Cited by 155 · see citing works
Schwingshackl, L., Strasser, B., & Hoffmann, G. (2011) · Annals of Nutrition and Metabolism · doi:10.1159/000334071 · Cited by 150 · see citing works
Metabolic profiling of gestational diabetes in obese women during pregnancy
White, S. L., Pasupathy, D., Sattar, N. A., Nelson, S. M., Lawlor, D. A., Briley, A. L., Seed, P. T., Welsh, P. I., & Poston, L. (2017) · Diabetologia · doi:10.1007/s00125-017-4380-6 · Cited by 131 · see citing works
Corcóstegui, I. M., Burgos, J., Campo, A. D., Aiartzaguena, A., Gutiérrez, J., & Melchor, J. C. (2019) · Journal of Perinatal Medicine · doi:10.1515/jpm-2019-0103 · Cited by 107 · see citing works
Factors Associated with Gestational Diabetes Mellitus: A Meta-Analysis
Zhang, Y., Xiao, C.-M., Zhang, Y., Chen, Q., Zhang, X., Li, X., Shao, R.-Y., & Gao, Y. (2021) · Journal of Diabetes Research · doi:10.1155/2021/6692695 · Cited by 101 · see citing works
Pre-pregnancy and pregnancy predictors of obesity
Melzer, K., & Schutz, Y. (2010) · International Journal of Obesity · doi:10.1038/ijo.2010.239 · Cited by 85 · see citing works
Effects of maternal obesity on antenatal, perinatal and neonatal outcomes
Avcı, M. E., Şanlıkan, F., Çelik, M., Avcı, A., Kocaer, M., & Göçmen, A. (2014) · The Journal of Maternal-Fetal & Neonatal Medicine · doi:10.3109/14767058.2014.978279 · Cited by 83 · see citing works
Kulkarni, A. V., Mehendale, S. S., Yadav, H. R., & Joshi, S. (2010) · Prostaglandins Leukotrienes and Essential Fatty Acids · doi:10.1016/j.plefa.2010.09.005 · Cited by 79 · see citing works
Otto, S. J., van Houwelingen, A. C., Badart‐Smook, A., & Hornstra, G. (2001) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/73.6.1074 · Cited by 79 · see citing works
Plasma fatty acids of neonates born to mothers with and without gestational diabetes
Thomas, B., Ghebremeskel, K., Lowy, C., Offley-Shore, B., & Crawford, M. A. (2005) · Prostaglandins Leukotrienes and Essential Fatty Acids · doi:10.1016/j.plefa.2005.01.001 · Cited by 68 · see citing works
Huang, Y., Ouyang, Y., & Redding, S. R. (2019) · Breastfeeding Medicine · doi:10.1089/bfm.2018.0138 · Cited by 68 · see citing works
Mitanchez, D., & Chavatte‐Palmer, P. (2018) · Acta Paediatrica · doi:10.1111/apa.14269 · Cited by 53 · see citing works
Lewandowska, M., Więckowska, B., Sajdak, S., & Lubiński, J. (2020) · Nutrients · doi:10.3390/nu12092681 · Cited by 49 · see citing works
Influence of Maternal Obesity and Gestational Weight Gain on Maternal and Foetal Lipid Profile
Cinelli, G., Fabrizi, M., Ravà, L., Atti, M. L. C. D., Vernocchi, P., Vallone, C., Pietrantoni, E., Lanciotti, R., Signore, F., & Manco, M. (2016) · Nutrients · doi:10.3390/nu8060368 · Cited by 44 · see citing works
Lager, S., Ramirez, V. I., Acosta, O. M., Meireles, C. L., Miller, E., Gaccioli, F., Rosario, F. J., Gelfond, J. A. L., Hakala, K. W., Weintraub, S. T., et al. (2017) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2017-01384 · Cited by 39 · see citing works
Ortega, H., Schaefer-Graf, U. M., & Herrera, E. (2019) · Diabetologia · doi:10.1007/s00125-019-05054-x · Cited by 36 · see citing works
Bias in Self-reported Prepregnancy Weight Across Maternal and Clinical Characteristics
Sharma, A. J., Bulkley, J. E., Stoneburner, A. B., Dandamudi, P., Leo, M. C., Callaghan, W. M., & Vesco, K. K. (2021) · Maternal and Child Health Journal · doi:10.1007/s10995-021-03149-9 · Cited by 34 · see citing works
Platner, M. H., Ackerman, C. M., Howland, R. E., Illuzzi, J., Reddy, U. M., Bourjeily, G., Xu, X., & Lipkind, H. S. (2021) · American Journal of Obstetrics & Gynecology MFM · doi:10.1016/j.ajogmf.2021.100420 · Cited by 31 · see citing works
Yu, H., Zhi-Heng, G., Chen, Y.-R., Li, Y., Hai-Ying, Z., Ya-Juan, L., & Xie, L. Y. (2021) · Prostaglandins Leukotrienes and Essential Fatty Acids · doi:10.1016/j.plefa.2021.102318 · Cited by 26 · see citing works
Klatt, K. C., McDougall, M. Q., Malysheva, O., Taesuwan, S., Loinard-González, A. P., Nevins, J. E. H., Beckman, K., Bhawal, R. P., Anderson, E., Zhang, S., et al. (2022) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqac147 · Cited by 22 · see citing works
Metabolic profiling of pregnancies complicated by preeclampsia: A longitudinal study
Skytte, H. N., Christensen, J. J., Gunnes, N., Holven, K. B., Lekva, T., Henriksen, T., Michelsen, T. M., & Roland, M. C. P. (2023) · Acta Obstetricia Et Gynecologica Scandinavica · doi:10.1111/aogs.14505 · Cited by 19 · see citing works
Self-citationAdipose tissue inflammation and metabolic dysfunction: a clinical perspective
Tam, C. S., & Redman, L. M. (2013) · Hormone Molecular Biology and Clinical Investigation · doi:10.1515/hmbci-2013-0032 · Cited by 18 · see citing works
Maternal metabolic profiling across body mass index groups: An exploratory longitudinal study
Skytte, H. N., Roland, M. C. P., Christensen, J. J., Holven, K. B., Lekva, T., Gunnes, N., & Michelsen, T. M. (2023) · Acta Obstetricia Et Gynecologica Scandinavica · doi:10.1111/aogs.14750 · Cited by 5 · see citing works
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Wu, Y., Gao, Z., Gou, Y., Yan, L., & Duan, Y. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1862412
Gao, C., Li, Y., Su, H., Yu, X., Lu, X., Liang, X., Tao, F., & Duan, X. (2026) · Frontiers in Nutrition · doi:10.3389/fnut.2026.1818038
- Authors
- Michelsen, T. M., Skytte, H. N., Gunnes, N., Holven, K. B., Christensen, J. J., & Roland, M. C. P.
- Affiliations
- Oslo University Hospital (NO)
- University of Oslo (NO)
- Corresponding author
- Michelsen, Trond Melbye
- ORCID
- Venue
- Journal of Reproductive Immunology
- Publisher
- Elsevier BV
- Published
- 2024-12
- Volume
- 166
- Pages
- 104397
- ISSN
- 0165-0378 (ISSN-L)
- OpenAlex
- W4404504349
- Cited by
- 2
- References
- 52
- Citations by year
- 2026: 2
- FWCI
- 1.11
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Reproductive Immunology (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Obstetrics and Gynecology › Gestational Diabetes Research and Management
- Health Sciences › Medicine › Obstetrics and Gynecology › Pregnancy and preeclampsia studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Keywords
- maternal obesity, early pregnancy, plasma metabolites, fatty acid composition, monounsaturated fatty acids, polyunsaturated fatty acids, omega-3 fatty acids, docosahexaenoic acid, gestational diabetes mellitus, gestational hypertension, preeclampsia, body mass index, metabolomic biomarkers, risk prediction
- MeSH terms
- Adult, Female, Humans, Longitudinal Studies, Obesity, Pre-Eclampsia, Pregnancy, Pregnancy Complications, Prospective Studies, Cohort Studies, Body Mass Index, Diabetes, Gestational, Hypertension, Pregnancy-Induced, Metabolome
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