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Sivalogan K, Liang D, Accardi C, Diaz-Artiga A, Hu X, Mollinedo E, Ramakrishnan U, Teeny SN, Tran V, Clasen TF, Thompson LM, Sinharoy SS. Human Milk Composition Is Associated with Maternal Body Mass Index in a Cross-Sectional, Untargeted Metabolomics Analysis of Human Milk from Guatemalan Mothers. Curr Dev Nutr 2024; 8:102144. [PMID: 38726027 PMCID: PMC11079463 DOI: 10.1016/j.cdnut.2024.102144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 03/12/2024] [Accepted: 03/19/2024] [Indexed: 05/12/2024] Open
Abstract
Background Maternal overweight and obesity has been associated with poor lactation performance including delayed lactogenesis and reduced duration. However, the effect on human milk composition is less well understood. Objectives We evaluated the relationship of maternal BMI on the human milk metabolome among Guatemalan mothers. Methods We used data from 75 Guatemalan mothers who participated in the Household Air Pollution Intervention Network trial. Maternal BMI was measured between 9 and <20 weeks of gestation. Milk samples were collected at a single time point using aseptic collection from one breast at 6 mo postpartum and analyzed using high-resolution mass spectrometry. A cross-sectional untargeted high-resolution metabolomics analysis was performed by coupling hydrophilic interaction liquid chromatography (HILIC) and reverse phase C18 chromatography with mass spectrometry. Metabolic features associated with maternal BMI were determined by a metabolome-wide association study (MWAS), adjusting for baseline maternal age, education, and dietary diversity, and perturbations in metabolic pathways were identified by pathway enrichment analysis. Results The mean age of participants at baseline was 23.62 ± 3.81 y, and mean BMI was 24.27 ± 4.22 kg/m2. Of the total metabolic features detected by HILIC column (19,199 features) and by C18 column (11,594 features), BMI was associated with 1026 HILIC and 500 C18 features. Enriched pathways represented amino acid metabolism, galactose metabolism, and xenobiotic metabolic metabolism. However, no significant features were identified after adjusting for multiple comparisons using the Benjamini-Hochberg false discovery rate procedure (FDRBH < 0.2). Conclusions Findings from this untargeted MWAS indicate that maternal BMI is associated with metabolic perturbations of galactose metabolism, xenobiotic metabolism, and xenobiotic metabolism by cytochrome p450 and biosynthesis of amino acid pathways. Significant metabolic pathway alterations detected in human milk were associated with energy metabolism-related pathways including carbohydrate and amino acid metabolism.This trial was registered at clinicaltrials.gov as NCT02944682.
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Affiliation(s)
- Kasthuri Sivalogan
- Nutrition and Health Sciences, Laney Graduate School, Emory University, Atlanta, Georgia, USA
| | - Donghai Liang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Carolyn Accardi
- Clinical Biomarkers Laboratory, Department of Medicine, Emory University, Atlanta, GA, United States
| | - Anaite Diaz-Artiga
- Center for Health Studies, Universidad del Valle de Guatemala, Guatemala City, Guatemala
| | - Xin Hu
- Clinical Biomarkers Laboratory, Department of Medicine, Emory University, Atlanta, GA, United States
| | - Erick Mollinedo
- Center for Health Studies, Universidad del Valle de Guatemala, Guatemala City, Guatemala
| | - Usha Ramakrishnan
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States
- Department of Environmental Health, College of Public Health, University of Georgia, Athens, GA, United States
| | - Sami Nadeem Teeny
- Clinical Biomarkers Laboratory, Department of Medicine, Emory University, Atlanta, GA, United States
| | - ViLinh Tran
- Clinical Biomarkers Laboratory, Department of Medicine, Emory University, Atlanta, GA, United States
| | - Thomas F Clasen
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Lisa M Thompson
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, United States
| | - Sheela S Sinharoy
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States
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Lantzanaki M, Vavilis T, Harizopoulou VC, Bili H, Goulis DG, Vavilis D. Ceramides during Pregnancy and Obstetrical Adverse Outcomes. Metabolites 2023; 13:1136. [PMID: 37999232 PMCID: PMC10673483 DOI: 10.3390/metabo13111136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 10/25/2023] [Accepted: 11/06/2023] [Indexed: 11/25/2023] Open
Abstract
Ceramides are a group of sphingolipids located in the external plasma membrane layer and act as messengers in cellular pathways such as inflammatory processes and apoptosis. Plasma ceramides are biomarkers of cardiovascular disease, type 2 diabetes mellitus, Alzheimer's disease, various autoimmune conditions and cancer. During pregnancy, ceramides play an important role as stress mediators, especially during implantation, delivery and lactation. Based on the current literature, plasma ceramides could be potential biomarkers of obstetrical adverse outcomes, although their role in metabolic pathways under such conditions remains unclear. This review aims to present current studies that examine the role of ceramides during pregnancy and obstetrical adverse outcomes, such as pre-eclampsia, gestational diabetes mellitus and other complications.
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Affiliation(s)
- Maria Lantzanaki
- 1st Department of Obstetrics and Gynecology, Medical School, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece; (V.C.H.); (H.B.); (D.G.G.); (D.V.)
| | - Theofanis Vavilis
- Department of Dentistry, School of Medicine, European University of Cyprus, Nicosia 2404, Cyprus;
- Laboratory of Medical Biology and Genetics, School of Medicine, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece
| | - Vikentia C. Harizopoulou
- 1st Department of Obstetrics and Gynecology, Medical School, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece; (V.C.H.); (H.B.); (D.G.G.); (D.V.)
| | - Helen Bili
- 1st Department of Obstetrics and Gynecology, Medical School, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece; (V.C.H.); (H.B.); (D.G.G.); (D.V.)
| | - Dimitrios G. Goulis
- 1st Department of Obstetrics and Gynecology, Medical School, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece; (V.C.H.); (H.B.); (D.G.G.); (D.V.)
| | - Dimitrios Vavilis
- 1st Department of Obstetrics and Gynecology, Medical School, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece; (V.C.H.); (H.B.); (D.G.G.); (D.V.)
- Medical School, University of Cyprus, Nicosia 1678, Cyprus
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Enthoven LF, Shi Y, Fay E, Kim A, Moreni S, Mao J, Isoherranen N, Totah RA, Hebert MF. Effects of Pregnancy on Plasma Sphingolipids Using a Metabolomic and Quantitative Analysis Approach. Metabolites 2023; 13:1026. [PMID: 37755306 PMCID: PMC10534641 DOI: 10.3390/metabo13091026] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 09/15/2023] [Accepted: 09/18/2023] [Indexed: 09/28/2023] Open
Abstract
Changes in the maternal metabolome, and specifically the maternal lipidome, that occur during pregnancy are relatively unknown. The objective of this investigation was to evaluate the effects of pregnancy on sphingolipid levels using metabolomics analysis followed by confirmational, targeted quantitative analysis. We focused on three subclasses of sphingolipids: ceramides, sphingomyelins, and sphingosines. Forty-seven pregnant women aged 18 to 50 years old participated in this study. Blood samples were collected on two study days for metabolomics analysis. The pregnancy samples were collected between 25 and 28 weeks of gestation and the postpartum study day samples were collected ≥3 months postpartum. Each participant served as their own control. These samples were analyzed using a Ultra-performance liquid chromatography/mass spectroscopy/mass spectroscopy (UPLC/MS/MS) assay that yielded semi-quantitative peak area values that were used to compare sphingolipid levels between pregnancy and postpartum. Following this lipidomic analysis, quantitative LC/MS/MS targeted/confirmatory analysis was performed on the same study samples. In the metabolomic analysis, 43 sphingolipid metabolites were identified and their levels were assessed using relative peak area values. These profiled sphingolipids fell into three categories: ceramides, sphingomyelins, and sphingosines. Of the 43 analytes measured, 35 were significantly different during pregnancy (p < 0.05) (including seven ceramides, 26 sphingomyelins, and two sphingosines) and 32 were significantly higher during pregnancy compared to postpartum. Following metabolomics, a separate quantitative analysis was performed and yielded quantified concentration values for 23 different sphingolipids, four of which were also detected in the metabolomics study. Quantitative analysis supported the metabolomics results with 17 of the 23 analytes measured found to be significantly different during pregnancy including 11 ceramides, four sphingomyelins, and two sphingosines. Fourteen of these were significantly higher during pregnancy. Our data suggest an overall increase in plasma sphingolipid concentrations with possible implications in endothelial function, gestational diabetes mellitus (GDM), intrahepatic cholestasis of pregnancy, and fetal development. This study provides evidence for alterations in maternal sphingolipid metabolism during pregnancy.
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Affiliation(s)
- Luke F. Enthoven
- Department of Pharmacy, University of Washington, Seattle, WA 98195, USA
| | - Yuanyuan Shi
- Department of Medicinal Chemistry, University of Washington, Seattle, WA 98195, USA (R.A.T.)
| | - Emily Fay
- Department of Obstetrics and Gynecology, University of Washington, Seattle, WA 98195, USA
| | - Agnes Kim
- Department of Pharmacy, University of Washington, Seattle, WA 98195, USA
| | - Sue Moreni
- Department of Obstetrics and Gynecology, University of Washington, Seattle, WA 98195, USA
| | - Jennie Mao
- Department of Obstetrics and Gynecology, University of Washington, Seattle, WA 98195, USA
| | - Nina Isoherranen
- Department of Pharmaceutics, University of Washington, Seattle, WA 98195, USA;
| | - Rheem A. Totah
- Department of Medicinal Chemistry, University of Washington, Seattle, WA 98195, USA (R.A.T.)
| | - Mary F. Hebert
- Department of Pharmacy, University of Washington, Seattle, WA 98195, USA
- Department of Obstetrics and Gynecology, University of Washington, Seattle, WA 98195, USA
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Mustaniemi S, Keikkala E, Kajantie E, Nurhonen M, Jylhä A, Morin-Papunen L, Öhman H, Männistö T, Laivuori H, Eriksson JG, Laaksonen R, Vääräsmäki M. Serum ceramides in early pregnancy as predictors of gestational diabetes. Sci Rep 2023; 13:13274. [PMID: 37582815 PMCID: PMC10427660 DOI: 10.1038/s41598-023-40224-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 08/07/2023] [Indexed: 08/17/2023] Open
Abstract
Ceramides contribute to the development of type 2 diabetes but it is uncertain whether they predict gestational diabetes (GDM). In this multicentre case-control study including 1040 women with GDM and 958 non-diabetic controls, early pregnancy (mean 10.7 gestational weeks) concentrations of four ceramides-Cer(d18:1/16:0), Cer(d18:1/18:0), Cer(d18:1/24:0) and Cer(d18:1/24:1)-were determined by a validated mass-spectrometric method from biobanked serum samples. Traditional lipids including total cholesterol, LDL, HDL and triglycerides were measured. Logistic and linear regression and the LASSO logistic regression were used to analyse lipids and clinical risk factors in the prediction of GDM. The concentrations of four targeted ceramides and total cholesterol, LDL and triglycerides were higher and HDL was lower among women with subsequent GDM than among controls. After adjustments, Cer(d18:1/24:0), triglycerides and LDL were independent predictors of GDM, women in their highest quartile had 1.44-fold (95% CI 1.07-1.95), 2.17-fold (95% CI 1.57-3.00) and 1.63-fold (95% CI 1.19-2.24) odds for GDM when compared to their lowest quartiles, respectively. In the LASSO regression modelling ceramides did not appear to markedly improve the predictive performance for GDM alongside with clinical risk factors and triglycerides. However, their adverse alterations highlight the extent of metabolic disturbances involved in GDM.
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Affiliation(s)
- Sanna Mustaniemi
- Clinical Medicine Research Unit, Medical Research Center Oulu, Oulu University Hospital and University of Oulu, PL 23, 90029, Oulu, Finland.
- Population Health Unit, Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Oulu, Finland.
| | - Elina Keikkala
- Clinical Medicine Research Unit, Medical Research Center Oulu, Oulu University Hospital and University of Oulu, PL 23, 90029, Oulu, Finland
- Population Health Unit, Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Oulu, Finland
| | - Eero Kajantie
- Clinical Medicine Research Unit, Medical Research Center Oulu, Oulu University Hospital and University of Oulu, PL 23, 90029, Oulu, Finland
- Population Health Unit, Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Oulu, Finland
- Children's Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Markku Nurhonen
- Population Health Unit, Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Oulu, Finland
| | | | - Laure Morin-Papunen
- Clinical Medicine Research Unit, Medical Research Center Oulu, Oulu University Hospital and University of Oulu, PL 23, 90029, Oulu, Finland
| | - Hanna Öhman
- Biobank Borealis of Northern Finland, Oulu University Hospital, Oulu, Finland
- Faculty of Medicine, University of Oulu, Oulu, Finland
| | | | - Hannele Laivuori
- Department of Obstetrics and Gynecology, Center for Child, Adolescence and Maternal Health, Tampere University Hospital and Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Medical and Clinical Genetics, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland
| | - Johan G Eriksson
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
- Department of Obstetrics and Gynecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology, and Research, Singapore, Singapore
| | | | - Marja Vääräsmäki
- Clinical Medicine Research Unit, Medical Research Center Oulu, Oulu University Hospital and University of Oulu, PL 23, 90029, Oulu, Finland
- Population Health Unit, Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Oulu, Finland
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Yuan H, Zhu B, Li C, Zhao Z. Ceramide in cerebrovascular diseases. Front Cell Neurosci 2023; 17:1191609. [PMID: 37333888 PMCID: PMC10272456 DOI: 10.3389/fncel.2023.1191609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 05/18/2023] [Indexed: 06/20/2023] Open
Abstract
Ceramide, a bioactive sphingolipid, serves as an important second messenger in cell signal transduction. Under stressful conditions, it can be generated from de novo synthesis, sphingomyelin hydrolysis, and/or the salvage pathway. The brain is rich in lipids, and abnormal lipid levels are associated with a variety of brain disorders. Cerebrovascular diseases, which are mainly caused by abnormal cerebral blood flow and secondary neurological injury, are the leading causes of death and disability worldwide. There is a growing body of evidence for a close connection between elevated ceramide levels and cerebrovascular diseases, especially stroke and cerebral small vessel disease (CSVD). The increased ceramide has broad effects on different types of brain cells, including endothelial cells, microglia, and neurons. Therefore, strategies that reduce ceramide synthesis, such as modifying sphingomyelinase activity or the rate-limiting enzyme of the de novo synthesis pathway, serine palmitoyltransferase, may represent novel and promising therapeutic approaches to prevent or treat cerebrovascular injury-related diseases.
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Stephenson DJ, MacKnight HP, Hoeferlin LA, Washington SL, Sawyers C, Archer KJ, Strauss JF, Walsh SW, Chalfant CE. Bioactive lipid mediators in plasma are predictors of preeclampsia irrespective of aspirin therapy. J Lipid Res 2023; 64:100377. [PMID: 37119922 PMCID: PMC10230265 DOI: 10.1016/j.jlr.2023.100377] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 04/13/2023] [Accepted: 04/18/2023] [Indexed: 05/01/2023] Open
Abstract
There are few early biomarkers to identify pregnancies at risk of preeclampsia (PE) and abnormal placental function. In this cross-sectional study, we utilized targeted ultra-performance liquid chromatography-ESI MS/MS and a linear regression model to identify specific bioactive lipids that serve as early predictors of PE. Plasma samples were collected from 57 pregnant women prior to 24-weeks of gestation with outcomes of either PE (n = 26) or uncomplicated term pregnancies (n = 31), and the profiles of eicosanoids and sphingolipids were evaluated. Significant differences were revealed in the eicosanoid, (±)11,12 DHET, as well as multiple classes of sphingolipids; ceramides, ceramide-1-phosphate, sphingomyelin, and monohexosylceramides; all of which were associated with the subsequent development of PE regardless of aspirin therapy. Profiles of these bioactive lipids were found to vary based on self-designated race. Additional analyses demonstrated that PE patients can be stratified based on the lipid profile as to PE with a preterm birth linked to significant differences in the levels of 12-HETE, 15-HETE, and resolvin D1. Furthermore, subjects referred to a high-risk OB/GYN clinic had higher levels of 20-HETE, arachidonic acid, and Resolvin D1 versus subjects recruited from a routine, general OB/GYN clinic. Overall, this study shows that quantitative changes in plasma bioactive lipids detected by ultra-performance liquid chromatography-ESI-MS/MS can serve as an early predictor of PE and stratify pregnant people for PE type and risk.
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Affiliation(s)
- Daniel J Stephenson
- Division of Hematology & Oncology, Department of Medicine, University of Virginia, Charlottesville, VA, USA
| | - H Patrick MacKnight
- Division of Hematology & Oncology, Department of Medicine, University of Virginia, Charlottesville, VA, USA
| | - L Alexis Hoeferlin
- Department of Biochemistry and Molecular Biology, Virginia Commonwealth University (VCU), Richmond, VA, USA
| | - Sonya L Washington
- Department of Obstetrics and Gynecology, Virginia Commonwealth University, Richmond, VA, USA
| | - Chelsea Sawyers
- Virginia Institute for Psychiatric & Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
| | - Kellie J Archer
- Division of Biostatistics, The Ohio State University College of Public Health, Columbus, OH, USA
| | - Jerome F Strauss
- Department of Obstetrics and Gynecology, Virginia Commonwealth University, Richmond, VA, USA
| | - Scott W Walsh
- Department of Obstetrics and Gynecology, Virginia Commonwealth University, Richmond, VA, USA.
| | - Charles E Chalfant
- Division of Hematology & Oncology, Department of Medicine, University of Virginia, Charlottesville, VA, USA; Department of Biochemistry and Molecular Biology, Virginia Commonwealth University (VCU), Richmond, VA, USA; Department of Cell Biology, University of Virginia, Charlottesville, VA, USA; Program in Cancer Biology, University of Virginia Cancer Center, Charlottesville, VA, USA; Research Service, Richmond Veterans Administration Medical Center, Richmond, VA, USA.
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