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      Intensive lactation among women with recent gestational diabetes significantly alters the early postpartum circulating lipid profile: the SWIFT study

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          Abstract

          Background

          Women with a history of gestational diabetes mellitus (GDM) have a 7-fold higher risk of developing type 2 diabetes (T2D). It is estimated that 20-50% of women with GDM history will progress to T2D within 10 years after delivery. Intensive lactation could be negatively associated with this risk, but the mechanisms behind a protective effect remain unknown.

          Methods

          In this study, we utilized a prospective GDM cohort of 1010 women without T2D at 6-9 weeks postpartum (study baseline) and tested for T2D onset up to 8 years post-baseline (n=980). Targeted metabolic profiling was performed on fasting plasma samples collected at both baseline and follow-up (1-2 years post-baseline) during research exams in a subset of 350 women (216 intensive breastfeeding, IBF vs. 134 intensive formula feeding or mixed feeding, IFF/Mixed). The relationship between lactation intensity and circulating metabolites at both baseline and follow-up were evaluated to discover underlying metabolic responses of lactation and to explore the link between these metabolites and T2D risk.

          Results

          We observed that lactation intensity was strongly associated with decreased glycerolipids (TAGs/DAGs) and increased phospholipids/sphingolipids at baseline. This lipid profile suggested decreased lipogenesis caused by a shift away from the glycerolipid metabolism pathway towards the phospholipid/sphingolipid metabolism pathway as a component of the mechanism underlying the benefits of lactation. Longitudinal analysis demonstrated that this favorable lipid profile was transient and diminished at 1-2 years postpartum, coinciding with the cessation of lactation. Importantly, when stratifying these 350 women by future T2D status during the follow-up (171 future T2D vs. 179 no T2D), we discovered that lactation induced robust lipid changes only in women who did not develop incident T2D. Subsequently, we identified a cluster of metabolites that strongly associated with future T2D risk from which we developed a predictive metabolic signature with a discriminating power (AUC) of 0.78, superior to common clinical variables (i.e., fasting glucose, AUC 0.56 or 2-h glucose, AUC 0.62).

          Conclusions

          In this study, we show that intensive lactation significantly alters the circulating lipid profile at early postpartum and that women who do not respond metabolically to lactation are more likely to develop T2D. We also discovered a 10-analyte metabolic signature capable of predicting future onset of T2D in IBF women. Our findings provide novel insight into how lactation affects maternal metabolism and its link to future diabetes onset.

          Trial registration

          ClinicalTrials.gov NCT01967030.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12916-021-02095-1.

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          Most cited references77

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          MetaboAnalyst 4.0: towards more transparent and integrative metabolomics analysis

          Abstract We present a new update to MetaboAnalyst (version 4.0) for comprehensive metabolomic data analysis, interpretation, and integration with other omics data. Since the last major update in 2015, MetaboAnalyst has continued to evolve based on user feedback and technological advancements in the field. For this year's update, four new key features have been added to MetaboAnalyst 4.0, including: (1) real-time R command tracking and display coupled with the release of a companion MetaboAnalystR package; (2) a MS Peaks to Pathways module for prediction of pathway activity from untargeted mass spectral data using the mummichog algorithm; (3) a Biomarker Meta-analysis module for robust biomarker identification through the combination of multiple metabolomic datasets and (4) a Network Explorer module for integrative analysis of metabolomics, metagenomics, and/or transcriptomics data. The user interface of MetaboAnalyst 4.0 has been reengineered to provide a more modern look and feel, as well as to give more space and flexibility to introduce new functions. The underlying knowledgebases (compound libraries, metabolite sets, and metabolic pathways) have also been updated based on the latest data from the Human Metabolome Database (HMDB). A Docker image of MetaboAnalyst is also available to facilitate download and local installation of MetaboAnalyst. MetaboAnalyst 4.0 is freely available at http://metaboanalyst.ca.
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            Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus

            (2002)
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              Type 2 diabetes mellitus after gestational diabetes: a systematic review and meta-analysis.

              Women with gestational diabetes are at increased risk of developing type 2 diabetes, but the risk and time of onset have not been fully quantified. We therefore did a comprehensive systematic review and meta-analysis to assess the strength of association between these conditions and the effect of factors that might modify the risk. We identified cohort studies in which women who had developed type 2 diabetes after gestational diabetes were followed up between Jan 1, 1960, and Jan 31, 2009, from Embase and Medline. 205 relevant reports were hand searched. We selected 20 studies that included 675 455 women and 10 859 type 2 diabetic events. We calculated and pooled unadjusted relative risks (RRs) with 95% CIs for each study using a random-effects model. Subgroups analysed were the number of cases of type 2 diabetes, ethnic origin, duration of follow-up, maternal age, body-mass index, and diagnostic criteria. Women with gestational diabetes had an increased risk of developing type 2 diabetes compared with those who had a normoglycaemic pregnancy (RR 7.43, 95% CI 4.79-11.51). Although the largest study (659 164 women; 9502 cases of type 2 diabetes) had the largest RR (12.6, 95% CI 12.15-13.19), RRs were generally consistent among the subgroups assessed. Increased awareness of the magnitude and timing of the risk of type 2 diabetes after gestational diabetes among patients and clinicians could provide an opportunity to test and use dietary, lifestyle, and pharmacological interventions that might prevent or delay the onset of type 2 diabetes in affected women. None.
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                Author and article information

                Contributors
                f.dai@utoronto.ca
                michael.wheeler@utoronto.ca
                Erica.Gunderson@kp.org
                Journal
                BMC Med
                BMC Med
                BMC Medicine
                BioMed Central (London )
                1741-7015
                8 October 2021
                8 October 2021
                2021
                : 19
                : 241
                Affiliations
                [1 ]GRID grid.17063.33, ISNI 0000 0001 2157 2938, Department of Physiology, Faculty of Medicine, , University of Toronto, ; Toronto, Ontario Canada
                [2 ]GRID grid.13402.34, ISNI 0000 0004 1759 700X, Department of Endocrinology, Sir Run Run Shaw Hospital, , Zhejiang University, ; Zhejiang, Hangzhou China
                [3 ]GRID grid.280062.e, ISNI 0000 0000 9957 7758, Division of Research, , Kaiser Permanente Northern California, ; Oakland, California USA
                [4 ]GRID grid.17063.33, ISNI 0000 0001 2157 2938, Donnelly Centre for Cellular and Biomolecular Research, , University of Toronto, ; Toronto, Ontario Canada
                [5 ]GRID grid.417184.f, ISNI 0000 0001 0661 1177, Metabolism Research Group, Division of Advanced Diagnostics, , Toronto General Research Institute, ; Toronto, Ontario Canada
                [6 ]GRID grid.19006.3e, ISNI 0000 0000 9632 6718, Health Systems Science, , Kaiser Permanente Bernard J. Tyson School of Medicine, ; Pasadena, USA
                Article
                2095
                10.1186/s12916-021-02095-1
                8499506
                34620173
                41f6fb79-2393-4944-ad9c-4772f35a528c
                © The Author(s) 2021

                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/. The Creative Commons Public Domain Dedication waiver ( http://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.

                History
                : 10 May 2021
                : 12 August 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000024, Canadian Institutes of Health Research;
                Award ID: FRN 143219
                Funded by: The National Institute of Child Health and Human Development
                Award ID: R01HD050625
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000062, National Institute of Diabetes and Digestive and Kidney Diseases;
                Award ID: R01DK118409
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100004543, China Scholarship Council;
                Funded by: FundRef http://dx.doi.org/10.13039/501100000064, Banting and Best Diabetes Centre, University of Toronto;
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2021

                Medicine
                lactation,lipid metabolism,gestational diabetes mellitus,type 2 diabetes risk
                Medicine
                lactation, lipid metabolism, gestational diabetes mellitus, type 2 diabetes risk

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