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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 li...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9926745/
https://www.ncbi.nlm.nih.gov/pubmed/36782297
http://dx.doi.org/10.1186/s12916-023-02740-x
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author 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.
author_facet 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.
author_sort Chen, Li
collection PubMed
description 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. TRIAL REGISTRATION: ClinicalTrials.gov, NCT03531658. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-023-02740-x.
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spelling pubmed-99267452023-02-15 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. BMC Med Research Article 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. TRIAL REGISTRATION: ClinicalTrials.gov, NCT03531658. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-023-02740-x. BioMed Central 2023-02-13 /pmc/articles/PMC9926745/ /pubmed/36782297 http://dx.doi.org/10.1186/s12916-023-02740-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
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
title 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_short 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9926745/
https://www.ncbi.nlm.nih.gov/pubmed/36782297
http://dx.doi.org/10.1186/s12916-023-02740-x
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