Plasma lipidomic profiling reveals metabolic adaptations to pregnancy and signatures of cardiometabolic risk: a preconception and longitudinal cohort study
Background: Adaptations in lipid metabolism are essential to meet the physiological demands of pregnancy and any aberration may result in adverse outcomes for both mother and offspring. However, there is a lack of population-level studies to define the longitudinal changes of maternal circulating l...
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Science::Medicine Lipidomics Preconception Chen, Li Mir, Sartaj Ahmad Bendt, Anne K. Chua, Esther W. L. Narasimhan, Kothandaraman Tan, Karen Mei-Ling Loy, See Ling Tan, Kok Hian Shek, Lynette P. Chan, Jerry Yap, Fabian Meaney, Michael J. Chan, Shiao-Yng Chong, Yap Seng Gluckman, Peter D. Eriksson, Johan G. Karnani, Neerja Wenk, Markus R. Plasma lipidomic profiling reveals metabolic adaptations to pregnancy and signatures of cardiometabolic risk: a preconception and longitudinal cohort study |
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Background:
Adaptations in lipid metabolism are essential to meet the physiological demands of pregnancy and any aberration may result in adverse outcomes for both mother and offspring. However, there is a lack of population-level studies to define the longitudinal changes of maternal circulating lipids from preconception to postpartum in relation to cardiometabolic risk factors.
Methods:
LC-MS/MS-based quantification of 689 lipid species was performed on 1595 plasma samples collected at three time points in a preconception and longitudinal cohort, Singapore PREconception Study of long-Term maternal and child Outcomes (S-PRESTO). We mapped maternal plasma lipidomic profiles at preconception (N = 976), 26–28 weeks’ pregnancy (N = 337) and 3 months postpartum (N = 282) to study longitudinal lipid changes and their associations with cardiometabolic risk factors including pre-pregnancy body mass index, body weight changes and glycaemic traits.
Results:
Around 56% of the lipids increased and 24% decreased in concentration in pregnancy before returning to the preconception concentration at postpartum, whereas around 11% of the lipids went through significant changes in pregnancy and their concentrations did not revert to the preconception concentrations. We observed a significant association of body weight changes with lipid changes across different physiological states, and lower circulating concentrations of phospholipids and sphingomyelins in pregnant mothers with higher pre-pregnancy BMI. Fasting plasma glucose and glycated haemoglobin (HbA1c) concentrations were lower whereas the homeostatic model assessment of insulin resistance (HOMA-IR), 2-h post-load glucose and fasting insulin concentrations were higher in pregnancy as compared to both preconception and postpartum. Association studies of lipidomic profiles with these glycaemic traits revealed their respective lipid signatures at three physiological states. Assessment of glycaemic traits in relation to the circulating lipids at preconception with a large sample size (n = 936) provided an integrated view of the effects of hyperglycaemia on plasma lipidomic profiles. We observed a distinct relationship of lipidomic profiles with different measures, with the highest percentage of significant lipids associated with HOMA-IR (58.9%), followed by fasting insulin concentration (56.9%), 2-h post-load glucose concentration (41.8%), HbA1c (36.7%), impaired glucose tolerance status (31.6%) and fasting glucose concentration (30.8%).
Conclusions:
We describe the longitudinal landscape of maternal circulating lipids from preconception to postpartum, and a comprehensive view of trends and magnitude of pregnancy-induced changes in lipidomic profiles. We identified lipid signatures linked with cardiometabolic risk traits with potential implications both in pregnancy and postpartum life. Our findings provide insights into the metabolic adaptations and potential biomarkers of modifiable risk factors in childbearing women that may help in better assessment of cardiometabolic health, and early intervention at the preconception period. |
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Lee Kong Chian School of Medicine (LKCMedicine) |
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Lee Kong Chian School of Medicine (LKCMedicine) Chen, Li Mir, Sartaj Ahmad Bendt, Anne K. Chua, Esther W. L. Narasimhan, Kothandaraman Tan, Karen Mei-Ling Loy, See Ling Tan, Kok Hian Shek, Lynette P. Chan, Jerry Yap, Fabian Meaney, Michael J. Chan, Shiao-Yng Chong, Yap Seng Gluckman, Peter D. Eriksson, Johan G. Karnani, Neerja Wenk, Markus R. |
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Article |
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Chen, Li Mir, Sartaj Ahmad Bendt, Anne K. Chua, Esther W. L. Narasimhan, Kothandaraman Tan, Karen Mei-Ling Loy, See Ling Tan, Kok Hian Shek, Lynette P. Chan, Jerry Yap, Fabian Meaney, Michael J. Chan, Shiao-Yng Chong, Yap Seng Gluckman, Peter D. Eriksson, Johan G. Karnani, Neerja Wenk, Markus R. |
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Chen, Li |
title |
Plasma lipidomic profiling reveals metabolic adaptations to pregnancy and signatures of cardiometabolic risk: a preconception and longitudinal cohort study |
title_short |
Plasma lipidomic profiling reveals metabolic adaptations to pregnancy and signatures of cardiometabolic risk: a preconception and longitudinal cohort study |
title_full |
Plasma lipidomic profiling reveals metabolic adaptations to pregnancy and signatures of cardiometabolic risk: a preconception and longitudinal cohort study |
title_fullStr |
Plasma lipidomic profiling reveals metabolic adaptations to pregnancy and signatures of cardiometabolic risk: a preconception and longitudinal cohort study |
title_full_unstemmed |
Plasma lipidomic profiling reveals metabolic adaptations to pregnancy and signatures of cardiometabolic risk: a preconception and longitudinal cohort study |
title_sort |
plasma lipidomic profiling reveals metabolic adaptations to pregnancy and signatures of cardiometabolic risk: a preconception and longitudinal cohort study |
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2023 |
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https://hdl.handle.net/10356/169684 |
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1779156593896587264 |
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sg-ntu-dr.10356-1696842023-08-06T15:38:03Z Plasma lipidomic profiling reveals metabolic adaptations to pregnancy and signatures of cardiometabolic risk: a preconception and longitudinal cohort study Chen, Li Mir, Sartaj Ahmad Bendt, Anne K. Chua, Esther W. L. Narasimhan, Kothandaraman Tan, Karen Mei-Ling Loy, See Ling Tan, Kok Hian Shek, Lynette P. Chan, Jerry Yap, Fabian Meaney, Michael J. Chan, Shiao-Yng Chong, Yap Seng Gluckman, Peter D. Eriksson, Johan G. Karnani, Neerja Wenk, Markus R. Lee Kong Chian School of Medicine (LKCMedicine) KK Women’s and Children’s Hospital Duke-NUS Medical School Science::Medicine Lipidomics Preconception Background: Adaptations in lipid metabolism are essential to meet the physiological demands of pregnancy and any aberration may result in adverse outcomes for both mother and offspring. However, there is a lack of population-level studies to define the longitudinal changes of maternal circulating lipids from preconception to postpartum in relation to cardiometabolic risk factors. Methods: LC-MS/MS-based quantification of 689 lipid species was performed on 1595 plasma samples collected at three time points in a preconception and longitudinal cohort, Singapore PREconception Study of long-Term maternal and child Outcomes (S-PRESTO). We mapped maternal plasma lipidomic profiles at preconception (N = 976), 26–28 weeks’ pregnancy (N = 337) and 3 months postpartum (N = 282) to study longitudinal lipid changes and their associations with cardiometabolic risk factors including pre-pregnancy body mass index, body weight changes and glycaemic traits. Results: Around 56% of the lipids increased and 24% decreased in concentration in pregnancy before returning to the preconception concentration at postpartum, whereas around 11% of the lipids went through significant changes in pregnancy and their concentrations did not revert to the preconception concentrations. We observed a significant association of body weight changes with lipid changes across different physiological states, and lower circulating concentrations of phospholipids and sphingomyelins in pregnant mothers with higher pre-pregnancy BMI. Fasting plasma glucose and glycated haemoglobin (HbA1c) concentrations were lower whereas the homeostatic model assessment of insulin resistance (HOMA-IR), 2-h post-load glucose and fasting insulin concentrations were higher in pregnancy as compared to both preconception and postpartum. Association studies of lipidomic profiles with these glycaemic traits revealed their respective lipid signatures at three physiological states. Assessment of glycaemic traits in relation to the circulating lipids at preconception with a large sample size (n = 936) provided an integrated view of the effects of hyperglycaemia on plasma lipidomic profiles. We observed a distinct relationship of lipidomic profiles with different measures, with the highest percentage of significant lipids associated with HOMA-IR (58.9%), followed by fasting insulin concentration (56.9%), 2-h post-load glucose concentration (41.8%), HbA1c (36.7%), impaired glucose tolerance status (31.6%) and fasting glucose concentration (30.8%). Conclusions: We describe the longitudinal landscape of maternal circulating lipids from preconception to postpartum, and a comprehensive view of trends and magnitude of pregnancy-induced changes in lipidomic profiles. We identified lipid signatures linked with cardiometabolic risk traits with potential implications both in pregnancy and postpartum life. Our findings provide insights into the metabolic adaptations and potential biomarkers of modifiable risk factors in childbearing women that may help in better assessment of cardiometabolic health, and early intervention at the preconception period. Agency for Science, Technology and Research (A*STAR) Ministry of Health (MOH) National Medical Research Council (NMRC) National Research Foundation (NRF) Published version This research was supported by the Singapore National Research Foundation under its Translational and Clinical Research (TCR) Flagship Programme and administered by the Singapore Ministry of Health’s National Medical Research Council (NMRC), Singapore- NMRC/TCR/004-NUS/2008; NMRC/TCR/012NUHS/2014. Additional funding was provided by the Singapore Institute for Clinical Sciences (SICS) – Agency for Science, Technology and Research (A*STAR), Singapore. The Singapore Lipidomics Incubator (SLING) is supported by grants from the National University of Singapore via the Life Sciences Institute, the National Research Foundation (NRF, NRFI2015-05 and NRFSBP-P4) and the NRF and A*STAR IAF-ICP I1901E0040. 2023-07-31T04:13:42Z 2023-07-31T04:13:42Z 2023 Journal Article Chen, L., Mir, S. A., Bendt, A. K., Chua, E. W. L., Narasimhan, K., Tan, K. M., Loy, S. L., Tan, K. H., Shek, L. P., Chan, J., Yap, F., Meaney, M. J., Chan, S., Chong, Y. S., Gluckman, P. D., Eriksson, J. G., Karnani, N. & Wenk, M. R. (2023). Plasma lipidomic profiling reveals metabolic adaptations to pregnancy and signatures of cardiometabolic risk: a preconception and longitudinal cohort study. BMC Medicine, 21(1), 53-. https://dx.doi.org/10.1186/s12916-023-02740-x 1741-7015 https://hdl.handle.net/10356/169684 10.1186/s12916-023-02740-x 36782297 2-s2.0-85147902467 1 21 53 en NMRC/TCR/004-NUS/2008 NMRC/TCR/012NUHS/2014 NRFI2015-05 NRFSBP-P4 I1901E0040 BMC Medicine © The Author(s) 2023. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. 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