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Saadat N, Aguate F, Nowak AL, Hyer S, Lin AB, Decot H, Koch H, Walker DS, Lydic T, Padmanabhan V, Campos GDL, Misra D, Giurgescu C. Changes in Lipid Profiles with the Progression of Pregnancy in Black Women. J Clin Med 2024; 13:2795. [PMID: 38792337 PMCID: PMC11122055 DOI: 10.3390/jcm13102795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 04/16/2024] [Accepted: 05/03/2024] [Indexed: 05/26/2024] Open
Abstract
Background/Objectives: Lipid metabolism plays an important role in maternal health and fetal development. There is a gap in the knowledge of how lipid metabolism changes during pregnancy for Black women who are at a higher risk of adverse outcomes. We hypothesized that the comprehensive lipidome profiles would show variation across pregnancy indicative of requirements during gestation and fetal development. Methods: Black women were recruited at prenatal clinics. Plasma samples were collected at 8-18 weeks (T1), 22-29 weeks (T2), and 30-36 weeks (T3) of pregnancy. Samples from 64 women who had term births (≥37 weeks gestation) were subjected to "shotgun" Orbitrap mass spectrometry. Mixed-effects models were used to quantify systematic changes and dimensionality reduction models were used to visualize patterns and identify reliable lipid signatures. Results: Total lipids and major lipid classes showed significant increases with the progression of pregnancy. Phospholipids and glycerolipids exhibited a gradual increase from T1 to T2 to T3, while sphingolipids and total sterol lipids displayed a more pronounced increase from T2 to T3. Acylcarnitines, hydroxy acylcarnitines, and Lyso phospholipid levels significantly decreased from T1 to T3. A deviation was that non-esterified fatty acids decreased from T1 to T2 and increased again from T2 to T3, suggestive of a potential role for these lipids during the later stages of pregnancy. The fatty acids showing this trend included key fatty acids-non-esterified Linoleic acid, Arachidonic acid, Alpha-linolenic acid, Eicosapentaenoic acid, Docosapentaenoic acid, and Docosahexaenoic acid. Conclusions: Mapping lipid patterns and identifying lipid signatures would help develop intervention strategies to reduce perinatal health disparities among pregnant Black women.
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Affiliation(s)
- Nadia Saadat
- Department of Pediatrics, University of Michigan, Ann Arbor, MI 48019, USA;
| | - Fernando Aguate
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI 48824, USA
| | | | - Suzanne Hyer
- College of Nursing, University of Central Florida, Orlando, FL 32826, USA
| | - Anna B. Lin
- Molecular Metabolism and Disease Mass Spectrometry Core, Michigan State University, East Lansing, MI 48824, USA
| | - Hannah Decot
- Molecular Metabolism and Disease Mass Spectrometry Core, Michigan State University, East Lansing, MI 48824, USA
| | - Hannah Koch
- Molecular Metabolism and Disease Mass Spectrometry Core, Michigan State University, East Lansing, MI 48824, USA
| | | | - Todd Lydic
- Molecular Metabolism and Disease Mass Spectrometry Core, Michigan State University, East Lansing, MI 48824, USA
| | | | - Gustavo de los Campos
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI 48824, USA
| | - Dawn Misra
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI 48824, USA
| | - Carmen Giurgescu
- College of Nursing, University of Central Florida, Orlando, FL 32826, USA
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Fleischman JY, Casey JL, Meijer JL, Treutelaar MK, Rajendiran TM, Soni T, Evans CR, Burant CF. Sex modulates the diet-induced changes to the plasma lipidome in a rat model of cardiorespiratory fitness. Biochim Biophys Acta Mol Cell Biol Lipids 2024; 1869:159451. [PMID: 38191091 DOI: 10.1016/j.bbalip.2024.159451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 01/01/2024] [Accepted: 01/03/2024] [Indexed: 01/10/2024]
Abstract
OBJECTIVE Individuals with higher intrinsic cardiorespiratory fitness (CRF) experience decreased rates of cardiometabolic disease and mortality, and high CRF is associated with increased utilization of fatty acids (FAs) for energy. Studies suggest a complex relationship between CRF, diet, and sex with health outcomes, but this interaction is understudied. We hypothesized that FA utilization differences by fitness and sex could be detected in the plasma metabolome when rats or humans were fed a high carbohydrate (HC) or high fat (HF) diet. METHODS Male and female rats selectively bred for low (LCR) and high (HCR) CRF were fed a chow diet or a sucrose-free HF (45 % fat) or HC (10 % fat) diet. Plasma samples were collected at days 0, 3, and 14. Human plasma data was collected from male and female participants who were randomized into a HC or HF diet for 21 days. Samples were analyzed using liquid chromatography-mass spectrometry and regression statistics were used to quantify the effect of diet, CRF, and sex on the lipidome. RESULTS In rats, the baseline lipidome is more significantly influenced by sex than by CRF, especially as elevated diglycerides, triglycerides, phosphatidylcholines, and lysophosphatidylcholines in males. A dynamic response to diet was observed 3 days after diet, but after 14 days of either diet, the lipidome was modulated by sex with a larger effect size than by diet. Data from the human study also suggests a sex-dependent response to diet with opposite directionality of affect compared to rats, highlighting species-dependent responses to dietary intervention.
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Affiliation(s)
- Johanna Y Fleischman
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, United States of America; Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States of America
| | - James L Casey
- Department of Molecular, Cellular, and Developmental Biology, University of Michigan, Ann Arbor, MI, United States of America
| | - Jennifer L Meijer
- Department of Medicine, Weight and Wellness Center, Dartmouth-Hitchcock Medical Center, Lebanon, NH, United States of America; Quantitative Biomedical Sciences, Geisel School of Medicine, Dartmouth College, Hanover, NH, United States of America
| | - Mary K Treutelaar
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States of America
| | - Thekkelnaycke M Rajendiran
- Michigan Regional Comprehensive Metabolomics Resource Core, University of Michigan, Ann Arbor, MI, United States of America
| | - Tanu Soni
- Michigan Regional Comprehensive Metabolomics Resource Core, University of Michigan, Ann Arbor, MI, United States of America
| | - Charles R Evans
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States of America; Michigan Regional Comprehensive Metabolomics Resource Core, University of Michigan, Ann Arbor, MI, United States of America
| | - Charles F Burant
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, United States of America; Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States of America; Michigan Regional Comprehensive Metabolomics Resource Core, University of Michigan, Ann Arbor, MI, United States of America.
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3
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Thangaraj SV, Ghnenis A, Pallas B, Vyas AK, Gregg B, Padmanabhan V. Comparative lipidome study of maternal plasma, milk, and lamb plasma in sheep. Sci Rep 2024; 14:7401. [PMID: 38548847 PMCID: PMC10978966 DOI: 10.1038/s41598-024-58116-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 03/25/2024] [Indexed: 04/01/2024] Open
Abstract
Lipids play a critical role in neonate development and breastmilk is the newborn's major source of lipids. Milk lipids directly influence the neonate plasma lipid profile. The milk lipidome is dynamic, influenced by maternal factors and related to the maternal plasma lipidome. The close inter-relationship between the maternal plasma, milk and neonate plasma lipidomes is critical to understanding maternal-child health and nutrition. In this exploratory study, lipidomes of blood and breast milk from Suffolk sheep and matched lamb blood (n = 13), were profiled on day 34 post birth by untargeted mass spectrometry. Comparative multivariate analysis of the three matrices identified distinct differences in lipids and class of lipids amongst them. Paired analysis identified 346 differential lipids (DL) and 31 correlated lipids (CL) in maternal plasma and milk, 340 DL and 32 CL in lamb plasma and milk and 295 DL and 16 CL in maternal plasma and lamb plasma. Conversion of phosphatidic acid to phosphatidyl inositol was the most active pathway in lamb plasma compared to maternal plasma. This exploratory study illustrates the partitioning of lipids across maternal plasma, milk and lamb plasma and the dynamic relationship between them, reiterating the need to study these three matrices as one biological system.
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Affiliation(s)
- Soundara Viveka Thangaraj
- Department of Pediatrics, University of Michigan, 7510 MSRB 1, 1500 W. Medical Center Drive, Ann Arbor, MI, 48109, USA
| | - Adel Ghnenis
- Department of Pediatrics, University of Michigan, 7510 MSRB 1, 1500 W. Medical Center Drive, Ann Arbor, MI, 48109, USA
| | - Brooke Pallas
- Unit for Laboratory Animal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Arpita Kalla Vyas
- Department of Pediatrics, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Brigid Gregg
- Department of Pediatrics, University of Michigan, 7510 MSRB 1, 1500 W. Medical Center Drive, Ann Arbor, MI, 48109, USA
| | - Vasantha Padmanabhan
- Department of Pediatrics, University of Michigan, 7510 MSRB 1, 1500 W. Medical Center Drive, Ann Arbor, MI, 48109, USA.
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4
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Saadat N, Pallas B, Ciarelli J, Vyas AK, Padmanabhan V. Gestational testosterone excess early to mid-pregnancy disrupts maternal lipid homeostasis and activates biosynthesis of phosphoinositides and phosphatidylethanolamines in sheep. Sci Rep 2024; 14:6230. [PMID: 38486090 PMCID: PMC10940674 DOI: 10.1038/s41598-024-56886-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 03/12/2024] [Indexed: 03/18/2024] Open
Abstract
Gestational hyperandrogenism is a risk factor for adverse maternal and offspring outcomes with effects likely mediated in part via disruptions in maternal lipid homeostasis. Using a translationally relevant sheep model of gestational testosterone (T) excess that manifests maternal hyperinsulinemia, intrauterine growth restriction (IUGR), and adverse offspring cardiometabolic outcomes, we tested if gestational T excess disrupts maternal lipidome. Dimensionality reduction models following shotgun lipidomics of gestational day 127.1 ± 5.3 (term 147 days) plasma revealed clear differences between control and T-treated sheep. Lipid signatures of gestational T-treated sheep included higher phosphoinositides (PI 36:2, 39:4) and lower acylcarnitines (CAR 16:0, 18:0, 18:1), phosphatidylcholines (PC 38:4, 40:5) and fatty acids (linoleic, arachidonic, Oleic). Gestational T excess activated phosphatidylethanolamines (PE) and PI biosynthesis. The reduction in key fatty acids may underlie IUGR and activated PI for the maternal hyperinsulinemia evidenced in this model. Maternal circulatory lipids contributing to adverse cardiometabolic outcomes are modifiable by dietary interventions.
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Affiliation(s)
- Nadia Saadat
- Department of Pediatrics, 7510 MSRB, University of Michigan, 1150 W. Medical Center Dr, Ann Arbor, MI, 148019-5718, USA
| | - Brooke Pallas
- Unit Lab Animal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Joseph Ciarelli
- Department of Pediatrics, 7510 MSRB, University of Michigan, 1150 W. Medical Center Dr, Ann Arbor, MI, 148019-5718, USA
| | - Arpita Kalla Vyas
- Department of Pediatrics, Washington University St. Louis, St. Louis, MO, USA
| | - Vasantha Padmanabhan
- Department of Pediatrics, 7510 MSRB, University of Michigan, 1150 W. Medical Center Dr, Ann Arbor, MI, 148019-5718, USA.
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5
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Mouzaki M, Woo JG, Divanovic S. Gestational and Developmental Contributors of Pediatric MASLD. Semin Liver Dis 2024; 44:43-53. [PMID: 38423068 DOI: 10.1055/s-0044-1782210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
Pediatric metabolic dysfunction-associated steatotic liver disease (MASLD) is common and can be seen as early as in utero. A growing body of literature suggests that gestational and early life exposures modify the risk of MASLD development in children. These include maternal risk factors, such as poor cardiometabolic health (e.g., obesity, gestational diabetes, rapid weight gain during pregnancy, and MASLD), as well as periconceptional dietary exposures, degree of physical activity, intestinal microbiome, and smoking. Paternal factors, such as diet and obesity, also appear to play a role. Beyond gestation, early life dietary exposures, as well as the rate of infant weight gain, may further modify the risk of future MASLD development. The mechanisms linking parental health and environmental exposures to pediatric MASLD are complex and not entirely understood. In conclusion, investigating gestational and developmental contributors to MASLD is critical and may identify future interventional targets for disease prevention.
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Affiliation(s)
- Marialena Mouzaki
- Divisions of Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
| | - Jessica G Woo
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Senad Divanovic
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
- Division of Immunobiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
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6
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Wong G, Narasimhan K, Cheong WF, Ng S, Aris IM, Loy SL, Bendt AK, Tan KH, Yap FKP, Shek LP, Chong YS, Gluckman PD, Godfrey KM, Lee YS, Wenk MR, Karnani N, Chan SY. Umbilical Cord Plasma Lysophospholipids and Triacylglycerols Associated with Birthweight Percentiles. Nutrients 2024; 16:274. [PMID: 38257167 PMCID: PMC10820643 DOI: 10.3390/nu16020274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 01/05/2024] [Accepted: 01/11/2024] [Indexed: 01/24/2024] Open
Abstract
Dysregulated transplacental lipid transfer and fetal-placental lipid metabolism affect birthweight, as does maternal hyperglycemia. As the mechanisms are unclear, we aimed to identify the lipids in umbilical cord plasma that were most associated with birthweight. Seventy-five Chinese women with singleton pregnancies recruited into the GUSTO mother-offspring cohort were selected from across the glycemic range based on a mid-gestation 75 g oral glucose tolerance test, excluding pre-existing diabetes. Cord plasma samples collected at term delivery were analyzed using targeted liquid-chromatography tandem mass-spectrometry to determine the concentrations of 404 lipid species across 17 lipid classes. The birthweights were standardized for sex and gestational age by local references, and regression analyses were adjusted for the maternal age, BMI, parity, mode of delivery, insulin treatment, and fasting/2 h glucose, with a false discovery-corrected p < 0.05 considered significant. Ten lysophosphatidylcholines (LPCs) and two lysophosphatidylethanolamines were positively associated with the birthweight percentiles, while twenty-four triacylglycerols were negatively associated with the birthweight percentiles. The topmost associated lipid was LPC 20:2 [21.28 (95%CI 12.70, 29.87) percentile increase in the standardized birthweight with each SD-unit increase in log10-transformed concentration]. Within these same regression models, maternal glycemia did not significantly associate with the birthweight percentiles. Specific fetal circulating lysophospholipids and triacylglycerols associate with birthweight independently of maternal glycemia, but a causal relationship remains to be established.
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Affiliation(s)
- Gerard Wong
- Singapore Institute for Clinical Sciences (SICS), A*STAR, Singapore 117609, Singapore (K.N.); (P.D.G.); (N.K.)
| | - Kothandaraman Narasimhan
- Singapore Institute for Clinical Sciences (SICS), A*STAR, Singapore 117609, Singapore (K.N.); (P.D.G.); (N.K.)
| | - Wei Fun Cheong
- Singapore Lipidomics Incubator, Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117593, Singapore; (W.F.C.); (A.K.B.); (M.R.W.)
| | - Sharon Ng
- Singapore Institute for Clinical Sciences (SICS), A*STAR, Singapore 117609, Singapore (K.N.); (P.D.G.); (N.K.)
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore 117593, Singapore; (S.N.); (Y.S.C.)
| | - Izzuddin M. Aris
- Division of Chronic Disease Research across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA;
| | - See Ling Loy
- KK Women’s and Children’s Hospital (KKH), Singapore 229899, Singapore; (S.L.L.); (K.H.T.); (F.K.P.Y.)
| | - Anne K. Bendt
- Singapore Lipidomics Incubator, Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117593, Singapore; (W.F.C.); (A.K.B.); (M.R.W.)
| | - Kok Hian Tan
- KK Women’s and Children’s Hospital (KKH), Singapore 229899, Singapore; (S.L.L.); (K.H.T.); (F.K.P.Y.)
| | - Fabian K. P. Yap
- KK Women’s and Children’s Hospital (KKH), Singapore 229899, Singapore; (S.L.L.); (K.H.T.); (F.K.P.Y.)
| | - Lynette P. Shek
- Singapore Institute for Clinical Sciences (SICS), A*STAR, Singapore 117609, Singapore (K.N.); (P.D.G.); (N.K.)
- Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore; (L.P.S.); (Y.S.L.)
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences (SICS), A*STAR, Singapore 117609, Singapore (K.N.); (P.D.G.); (N.K.)
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore 117593, Singapore; (S.N.); (Y.S.C.)
| | - Peter D. Gluckman
- Singapore Institute for Clinical Sciences (SICS), A*STAR, Singapore 117609, Singapore (K.N.); (P.D.G.); (N.K.)
| | - Keith M. Godfrey
- MRC Lifecourse Epidemiology Centre, University of Southampton, University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton, University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences (SICS), A*STAR, Singapore 117609, Singapore (K.N.); (P.D.G.); (N.K.)
- Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore; (L.P.S.); (Y.S.L.)
| | - Markus R. Wenk
- Singapore Lipidomics Incubator, Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117593, Singapore; (W.F.C.); (A.K.B.); (M.R.W.)
| | - Neerja Karnani
- Singapore Institute for Clinical Sciences (SICS), A*STAR, Singapore 117609, Singapore (K.N.); (P.D.G.); (N.K.)
| | - Shiao-Yng Chan
- Singapore Institute for Clinical Sciences (SICS), A*STAR, Singapore 117609, Singapore (K.N.); (P.D.G.); (N.K.)
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore 117593, Singapore; (S.N.); (Y.S.C.)
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7
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Saadat N, Ciarelli J, Pallas B, Padmanabhan V, Vyas AK. Sex-Specific Perturbation of Systemic Lipidomic Profile in Newborn Lambs Impacted by Prenatal Testosterone Excess. Endocrinology 2023; 165:bqad187. [PMID: 38060679 PMCID: PMC10750263 DOI: 10.1210/endocr/bqad187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Indexed: 12/27/2023]
Abstract
Gestational hyperandrogenism adversely impacts offspring health. Using an ovine model, we found that prenatal testosterone (T) excess adversely affects growth and cardiometabolic outcomes in female offspring and produces sex-specific effects on fetal myocardium. Since lipids are essential to cardiometabolic function, we hypothesized that prenatal T excess leads to sex-specific disruptions in lipid metabolism at birth. Shotgun lipidomics was performed on the plasma samples collected 48 hours after birth from female (F) and male (M) lambs of control (C) and (T) sheep (CF = 4, TF = 7, CM = 5, TM = 10) and data were analyzed by univariate analysis, multivariate dimensionality reduction modeling followed by functional enrichment, and pathway analyses. Biosynthesis of phosphatidylserine was the major pathway responsible for sex differences in controls. Unsupervised and supervised models showed separation between C and T in both sexes with glycerophospholipids and glycerolipids classes being responsible for the sex differences between C and T. T excess increased cholesterol in females while decreasing phosphatidylcholine levels in male lambs. Specifically, T excess: 1) suppressed the phosphatidylethanolamine N-methyltransferase (PEMT) phosphatidylcholine synthesis pathway overall and in TM lambs as opposed to suppression of carnitine levels overall and TF lambs; and 2) activated biosynthesis of ether-linked (O-)phosphatidylethanolamine and O-phosphatidylcholine from O-diacylglycerol overall and in TF lambs. Higher cholesterol levels could underlie adverse cardiometabolic outcomes in TF lambs, whereas suppressed PEMT pathway in TM lambs could lead to endoplasmic reticulum stress and defective lipid transport. These novel findings point to sex-specific effects of prenatal T excess on lipid metabolism in newborn lambs, a precocial ovine model of translational relevance.
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Affiliation(s)
- Nadia Saadat
- Department of Pediatrics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Joseph Ciarelli
- Department of Pediatrics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Brooke Pallas
- Unit Lab Animal Medicine, University of Michigan, Ann Arbor, MI 48109, USA
| | | | - Arpita Kalla Vyas
- Department of Pediatrics, Washington University St. Louis, St. Louis, MO 63110, USA
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Song Y, Lu R, Yu G, Rahman ML, Chen L, Zhu Y, Tsai MY, Fiehn O, Chen Z, Zhang C. Longitudinal lipidomic profiles during pregnancy and associations with neonatal anthropometry: findings from a multiracial cohort. EBioMedicine 2023; 98:104881. [PMID: 38006745 PMCID: PMC10709105 DOI: 10.1016/j.ebiom.2023.104881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Revised: 11/06/2023] [Accepted: 11/06/2023] [Indexed: 11/27/2023] Open
Abstract
BACKGROUND Maternal lipidomic profiling offers promise for characterizing lipid metabolites during pregnancy, but longitudinal data are limited. This study aimed to examine associations of longitudinal lipidomic profiles during pregnancy with multiple neonatal anthropometry using data from a multiracial cohort. METHODS We measured untargeted plasma lipidome profiles among 321 pregnant women from the NICHD Fetal Growth Study-Singletons using plasma samples collected longitudinally during four study visits at gestational weeks (GW) 10-14, 15-26, 23-31, and 33-39, respectively. We evaluated individual lipidomic metabolites at each study visit in association with neonatal anthropometry. We also evaluated the associations longitudinally by constructing lipid networks using weighted correlation network analysis and common networks using consensus network analysis across four visits using linear mixed-effects models with the adjustment of false discover rate. FINDINGS Multiple triglycerides (TG) were positively associated with birth weight (BW), BW Z-score, length and head circumference, while some cholesteryl ester (CE), phosphatidylcholine (PC), sphingomyelines (SM), phosphatidylethanolamines (PE), and lysophosphatidylcholines (LPC 20:3) families were inversely associated with BW, length, abdominal and head circumference at different GWs. Longitudinal trajectories of TG, PC, and glucosylcermides (GlcCer) were associated with BW, and CE (18:2) with BW z-score, length, and sum of skinfolds (SS), while some PC and PE were significantly associated with abdominal and head circumference. Modules of TG at GW 10-14 and 15-26 mainly were associated with BW. At GW 33-39, two networks of LPC (20:3) and of PC, TG, and CE, showed inverse associations with abdominal circumference. Distinct trajectories within two consensus modules with changes in TG, CE, PC, and LPC showed significant differences in BW and length. INTERPRETATION The results demonstrated that longitudinal changes of TGs during early- and mid-pregnancy and changes of PC, LPC, and CE during late-pregnancy were significantly associated with neonatal anthropometry. FUNDING National Institute of Child Health and Human Development intramural funding.
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Affiliation(s)
- Yiqing Song
- Department of Epidemiology, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN, USA
| | - Ruijin Lu
- Division of Biostatistics, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA
| | - Guoqi Yu
- Global Center for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Mohammad L Rahman
- National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Liwei Chen
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA, USA
| | - Yeiyi Zhu
- Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
| | - Michael Y Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Oliver Fiehn
- West Coast Metabolomics Center, UC Davis Genome Center, University of California, 451 Health Sciences Drive, Davis, CA, USA
| | - Zhen Chen
- Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institute of Health, Bethesda, MD, USA
| | - Cuilin Zhang
- Global Center for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
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9
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Naik VD, Ramadoss J. Untargeted and Targeted Blood Lipidomic Signature Profile of Gestational Alcohol Exposure. Nutrients 2023; 15:1411. [PMID: 36986141 PMCID: PMC10051993 DOI: 10.3390/nu15061411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 03/08/2023] [Accepted: 03/13/2023] [Indexed: 03/17/2023] Open
Abstract
Alcohol consumption has a close relationship with blood lipid levels in a nonpregnant state, with a myriad of effects on the liver; however, little is known about the interaction of alcohol and lipids in the context of fetal alcohol spectrum disorders (FASD). We herein aimed to determine the effect of alcohol on the lipid profile in a pregnant rat model, with a focus on FASD. Dry blood spots (50 µL) were obtained from rat maternal blood collected on gestational day (GD) 20, two hours after the last binge alcohol exposure (4.5 g/kg, GD 5-10; 6 g/kg, GD 11-20). The samples were then analyzed using high-throughput untargeted and targeted lipid profiling via liquid chromatography-tandem mass spectrometry (LC-MS/MS). In untargeted lipidomics, 73 of 315 identified lipids were altered in the alcohol group compared to the pair-fed controls; 67 were downregulated and 6 were upregulated. In targeted analysis, 57 of the 260 studied lipid subspecies were altered, including Phosphatidylcholine (PC), Phosphatidylethanolamine (PE), Phosphatidylglycerol (PG), Phosphatidic Acid (PA), Phosphatidylinositol (PI), and Phosphatidylserine (PS); 36 of these were downregulated and 21 lipid subspecies were upregulated. These findings suggest alcohol-induced dysregulation of lipids in the maternal blood of rats and provide novel insights into possible FASD mechanisms.
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Affiliation(s)
- Vishal D. Naik
- Department of Obstetrics & Gynecology, C.S. Mott Center for Human Growth and Development, School of Medicine, Wayne State University, Detroit, MI 48201, USA
| | - Jayanth Ramadoss
- Department of Obstetrics & Gynecology, C.S. Mott Center for Human Growth and Development, School of Medicine, Wayne State University, Detroit, MI 48201, USA
- Department of Physiology, School of Medicine, Wayne State University, Detroit, MI 48201, USA
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10
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Thangaraj SV, Kachman M, Halloran KM, Sinclair KD, Lea R, Bellingham M, Evans NP, Padmanabhan V. Developmental programming: Preconceptional and gestational exposure of sheep to a real-life environmental chemical mixture alters maternal metabolome in a fetal sex-specific manner. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 864:161054. [PMID: 36565874 PMCID: PMC10322214 DOI: 10.1016/j.scitotenv.2022.161054] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 12/12/2022] [Accepted: 12/15/2022] [Indexed: 05/21/2023]
Abstract
BACKGROUND Everyday, humans are exposed to a mixture of environmental chemicals some of which have endocrine and/or metabolism disrupting actions which may contribute to non-communicable diseases. The adverse health impacts of real-world chemical exposure, characterized by chronic low doses of a mixture of chemicals, are only recently emerging. Biosolids derived from human waste represent the environmental chemical mixtures humans are exposed to in real life. Prior studies in sheep have shown aberrant reproductive and metabolic phenotypes in offspring after maternal biosolids exposure. OBJECTIVE To determine if exposure to biosolids perturbs the maternal metabolic milieu of pregnant ewes, in a fetal sex-specific manner. METHODS Ewes were grazed on inorganic fertilizer (Control) or biosolids-treated pastures (BTP) from before mating and throughout gestation. Plasma from pregnant ewes (Control n = 15, BTP n = 15) obtained mid-gestation were analyzed by untargeted metabolomics. Metabolites were identified using Agilent MassHunter. Multivariate analyses were done using MetaboAnalyst 5.0 and confirmed using SIMCA. RESULTS Univariate and multivariate analysis of 2301 annotated metabolites identified 193 differentially abundant metabolites (DM) between control and BTP sheep. The DM primarily belonged to the super-class of lipids and organic acids. 15-HeTrE, oleamide, methionine, CAR(3:0(OH)) and pyroglutamic acid were the top DM and have been implicated in the regulation of fetal growth and development. Fetal sex further exacerbated differences in metabolite profiles in the BTP group. The organic acids class of metabolites was abundant in animals with male fetuses. Prenol lipid, sphingolipid, glycerolipid, alkaloid, polyketide and benzenoid classes showed fetal sex-specific responses to biosolids. DISCUSSION Our study illustrates that exposure to biosolids significantly alters the maternal metabolome in a fetal sex-specific manner. The altered metabolite profile indicates perturbations to fatty acid, arginine, branched chain amino acid and one‑carbon metabolism. These factors are consistent with, and likely contribute to, the adverse phenotypic outcomes reported in the offspring.
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Affiliation(s)
- S V Thangaraj
- Department of Pediatrics, University of Michigan, Ann Arbor, MI, USA
| | - M Kachman
- MM BRCF Metabolomics Core, University of Michigan, Ann Arbor, MI, USA
| | - K M Halloran
- Department of Pediatrics, University of Michigan, Ann Arbor, MI, USA
| | - K D Sinclair
- University of Nottingham, Sutton Bonington Campus, Loughborough, UK
| | - R Lea
- University of Nottingham, Sutton Bonington Campus, Loughborough, UK
| | - M Bellingham
- School of Biodiversity One Health and Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, UK
| | - N P Evans
- School of Biodiversity One Health and Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, UK
| | - V Padmanabhan
- Department of Pediatrics, University of Michigan, Ann Arbor, MI, USA.
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11
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Wu W, Zhou Y, Liu Y, Liu C, Ren J, Liu X, Korevaar TIM, Fan J. Triglycerides Mediate the Relationship Between Maternal Free Thyroxine and Birth Weight: A Prospective Cohort Study from China. Thyroid 2023; 33:615-624. [PMID: 36905364 DOI: 10.1089/thy.2022.0459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/12/2023]
Abstract
BACKGROUND Fetal overgrowth (large for gestational age, LGA), is associated with an increased risk of maternal and fetal morbidity and adverse health outcomes. Thyroid hormones are key regulators of metabolism during pregnancy and fetal development. Lower maternal free thyroxine (FT4) and higher maternal triglyceride (TG) levels during early pregnancy are associated with higher birth weight. We aimed to examine the mediating role of maternal TG in the association between maternal FT4 and birth weight. METHODS We performed a large prospective cohort study including pregnant Chinese women who were treated at a tertiary obstetric center during the period of January 2016 to December 2018. We included 35,914 participants with complete medical records. We performed causal mediation analysis to decompose the overall effect of FT4 on birth weight and LGA with maternal TG as the mediator. RESULTS We observed statistically significant associations between maternal FT4, TG levels and birth weight (all p<0.0001). Using a four-way decomposition model, we identified a controlled direct effect (coefficient [95% confidence interval, CI], -0.038 [-0.047 to -0.029], p<0.0001) that accounted for 63.9% of the total effect, in addition to the other three estimated effects (reference interaction, coefficient [95% CI]= -0.006 [-0.009 to -0.001], p=0.008; mediated interaction, coefficient [95% CI]= 0.0004 [0.000 to 0.001], p=0.008; and pure indirect effect, coefficient [95% CI]= -0.009 [-0.013 to -0.005], p<0.0001) of TG on the association between FT4 and birth weight z-score. Moreover, maternal TG accounted for 21.6% and 20.7% (via mediation) and 13.6% and 41.6% (via maternal FT4 and TG interaction) of the total effect of maternal FT4 on fetal birth weight and LGA, respectively. The proportions of the total associations that could be reduced by "eliminating" the effect of maternal TG were 36.1% for birth weight and 65.1% for LGA, respectively. CONCLUSIONS High maternal TG levels may play substantial mediating roles in the relationship between low FT4 levels in early pregnancy and increased birth weight and a higher risk of LGA. Furthermore, the occurrence of fetal overgrowth may also be influenced by possible synergistic effects between FT4 and TG.
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Affiliation(s)
- Weibin Wu
- Shanghai Jiao Tong University School of Medicine, 56694, 145 Guangyuan Rd, Shanghai, China, China, 200030;
| | - Yulai Zhou
- Shanghai Jiao Tong University School of Medicine, 56694, obgyn, 910 Hengshan Road, Shanghai, 200030, Shanghai, SHANGHAI, China, 200030;
| | - Yindi Liu
- International Peace Maternity and Child Health Hospital, 545449, Shanghai, China, Shanghai, China, 200000;
| | - Chunxiao Liu
- Shanghai Jiao Tong University School of Medicine, 56694, International Peace Maternal and child health hospital, 910 Hengshan Road, Shanghai, Shanghai, China, 200030;
| | - Jiabin Ren
- International Peace Maternity and Child Health Hospital, 545449, Shanghai, China;
| | - Xiaorui Liu
- International Peace Maternity and Child Health Hospital, 545449, Shanghai, China;
| | - Tim I M Korevaar
- Erasmus University Medoical Center, Endocrinology, Epidemiology, dr Molewaterplein 50, Rotterdam, Netherlands, 3015 GE;
| | - Jianxia Fan
- Shanghai Jiao Tong University School of Medicine, 56694, Obstetrics and Gynecology, 910 Hengshan Road,Shanghai,200030,China, Shanghai, China, 200025
- United States;
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12
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Fleischman JY, Qi NR, Treutelaar MK, Britton SL, Koch LG, Li JZ, Burant CF. Intrinsic cardiorespiratory fitness modulates clinical and molecular response to caloric restriction. Mol Metab 2023; 68:101668. [PMID: 36642218 PMCID: PMC9938335 DOI: 10.1016/j.molmet.2023.101668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 12/21/2022] [Accepted: 01/05/2023] [Indexed: 01/13/2023] Open
Abstract
OBJECTIVE Caloric restriction (CR) is one extrinsic intervention that can improve metabolic health, and it shares many phenotypical parallels with intrinsic high cardiorespiratory fitness (CRF), including reduced adiposity, increased cardiometabolic health, and increased longevity. CRF is a highly heritable trait in humans and has been established in a genetic rat model selectively bred for high (HCR) and low (LCR) CRF, in which the HCR live longer and have reduced body weight compared to LCR. This study addresses whether the inherited high CRF phenotype occurs through similar mechanisms by which CR promotes health and longevity. METHODS We compared HCR and LCR male rats fed ad libitum (AL) or calorically restricted (CR) for multiple physiological, metabolic, and molecular traits, including running capacity at 2, 8, and 12 months; per-hour metabolic cage activity over daily cycles at 6 and 12 months; and plasma lipidomics, liver and muscle transcriptomics, and body composition after 12 months of treatment. RESULTS LCR-CR developed a physiological profile that mirrors the high-CRF phenotype in HCR-AL, including reduced adiposity and increased insulin sensitivity. HCR show higher spontaneous activity than LCR. Temporal modeling of hourly energy expenditure (EE) dynamics during the day, adjusted for body weight and hourly activity levels, suggest that CR has an EE-suppressing effect, and high-CRF has an EE-enhancing effect. Pathway analysis of gene transcripts indicates that HCR and LCR both show a response to CR that is similar in the muscle and different in the liver. CONCLUSIONS CR provides LCR a health-associated positive effect on physiological parameters that strongly resemble HCR. Analysis of whole-body EE and transcriptomics suggests that HCR and LCR show line-dependent responses to CR that may be accreditable to difference in genetic makeup. The results do not preclude the possibility that CRF and CR pathways may converge.
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Affiliation(s)
- Johanna Y Fleischman
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA
| | - Nathan R Qi
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA; Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA; Michigan Mouse Metabolic Phenotyping Center, University of Michigan, Ann Arbor, MI, USA
| | - Mary K Treutelaar
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Steven L Britton
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA; Department of Anesthesiology, University of Michigan, Ann Arbor, MI, USA
| | - Lauren G Koch
- Department of Physiology and Pharmacology, The University of Toledo, Toledo, OH, USA
| | - Jun Z Li
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Charles F Burant
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA; Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
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13
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Sobik S, Sims CR, Crimmins M, Bimali M, Williams DK, Andres A. Associations Between Maternal Physical Activity, Maternal Lipid Levels, and Infant Anthropometric Outcomes at Two Weeks of Age. Matern Child Health J 2023; 27:168-177. [PMID: 36352287 DOI: 10.1007/s10995-022-03558-4] [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: 09/03/2021] [Revised: 07/15/2022] [Accepted: 09/12/2022] [Indexed: 11/10/2022]
Abstract
BACKGROUND This study determined the relationship between physical activity (PA), circulating lipids throughout pregnancy and infant anthropometric outcomes at birth and 2 weeks of age. METHODS Women (N = 234) with normal weight (NW, BMI 18.5-24.9 kg/m2) and with overweight and class I obesity (OW/OB, BMI 25-35 kg/m2) were categorized into high and low PA based on average cohort steps during pregnancy (8099 steps/day). Circulating fasting lipids were measured at each trimester. Standardized methods were used to obtain anthropometrics measures. Infant body composition was estimated by quantitative nuclear magnetic resonance (EchoMRI-AH small; ECHO Medical Systems). RESULTS Women with NW who had higher activity had lower circulating triglycerides (TG) and total cholesterol (TC) levels at 12 weeks compared to women with NW and low activity (p < 0.05). Women with OW/OB and high activity level throughout pregnancy had lower circulating TG, and low density lipoprotein (LDL), at 12 weeks, lower LDL at 24 weeks, and lower TG at 36 weeks compared to the women with OW/OB who had low activity levels (p < 0.05). For children born to women with OW/OB, maternal circulating TG and LDL were most associated with infant anthropometrics at 2 weeks of age. CONCLUSION This study supports that higher PA during pregnancy is associated with lower lipid levels throughout pregnancy with a greater effect size in women with OW/OB. Maternal lipids were associated with anthropometrics and infant body composition at two weeks of life in women with OW/OB.
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Affiliation(s)
- Sarah Sobik
- Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA. .,Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
| | - Clark R Sims
- Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA.,Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - Meghan Crimmins
- Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA
| | - Milan Bimali
- Nexus Institute for Research and Innovation, Lalitpur, Nepal
| | - D Keith Williams
- Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA.,Department of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - Aline Andres
- Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA.,Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
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14
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Habra H, Kachman M, Padmanabhan V, Burant C, Karnovsky A, Meijer J. Alignment and Analysis of a Disparately Acquired Multibatch Metabolomics Study of Maternal Pregnancy Samples. J Proteome Res 2022; 21:2936-2946. [PMID: 36367990 DOI: 10.1021/acs.jproteome.2c00371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Untargeted liquid chromatography-mass spectrometry metabolomics studies are typically performed under roughly identical experimental settings. Measurements acquired with different LC-MS protocols or following extended time intervals harbor significant variation in retention times and spectral abundances due to altered chromatographic, spectrometric, and other factors, raising many data analysis challenges. We developed a computational workflow for merging and harmonizing metabolomics data acquired under disparate LC-MS conditions. Plasma metabolite profiles were collected from two sets of maternal subjects three years apart using distinct instruments and LC-MS procedures. Metabolomics features were aligned using metabCombiner to generate lists of compounds detected across all experimental batches. We applied data set-specific normalization methods to remove interbatch and interexperimental variation in spectral intensities, enabling statistical analysis on the assembled data matrix. Bioinformatics analyses revealed large-scale metabolic changes in maternal plasma between the first and third trimesters of pregnancy and between maternal plasma and umbilical cord blood. We observed increases in steroid hormones and free fatty acids from the first trimester to term of gestation, along with decreases in amino acids coupled to increased levels in cord blood. This work demonstrates the viability of integrating nonidentically acquired LC-MS metabolomics data and its utility in unconventional metabolomics study designs.
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Affiliation(s)
- Hani Habra
- Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan 48109, United States
| | - Maureen Kachman
- Michigan Regional Comprehensive Metabolomics Resource Core, University of Michigan, Ann Arbor, Michigan 48105, United States
| | - Vasantha Padmanabhan
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan 48109, United States
- Department of Obstetrics & Gynecology, University of Michigan Medical School, Ann Arbor, Michigan 48109, United States
- Department of Pediatrics, University of Michigan Medical School, Ann Arbor, Michigan 48109, United States
| | - Charles Burant
- Michigan Regional Comprehensive Metabolomics Resource Core, University of Michigan, Ann Arbor, Michigan 48105, United States
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan 48109, United States
| | - Alla Karnovsky
- Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan 48109, United States
| | - Jennifer Meijer
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan 48109, United States
- Department of Medicine, Geisel School of Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire 03756, United States
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15
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Everest C, da Silva DF, Puranda J, Souza SCS, Goudreau AD, Nagpal TS, Edwards CM, Gupta R, Adamo KB. Physical Activity and Weight Gain Throughout Pregnancy Are Associated With Umbilical Cord Markers. JOURNAL OF OBSTETRICS AND GYNAECOLOGY CANADA 2022; 44:1262-1270. [PMID: 36216221 DOI: 10.1016/j.jogc.2022.09.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 09/07/2022] [Accepted: 09/07/2022] [Indexed: 11/19/2022]
Abstract
OBJECTIVE Maternal serum and umbilical cord (UC) lipid and glucose levels are influenced by a variety of maternal factors over the course of pregnancy, including maternal physical activity (PA) levels and gestational weight gain (GWG). However, previous research has not assessed the interaction of these 2 variables. This study investigated mid-gestation (24-28 weeks) and late gestation (34-38 weeks) maternal and UC serum lipid and glucose profiles in relation to maternal PA status and GWG, independently and in combination. METHODS This study had a longitudinal design. Pregnant participants (n = 40) were categorized as active or inactive based on the 2019 Canadian Guideline for Physical Activity throughout Pregnancy, and GWG was categorized as insufficient, appropriate, or excessive based on 2009 Institute of Medicine recommendations. Fasting maternal serum was taken in mid- and late gestation, and venous UC serum was taken at birth. RESULTS No relationship was found between maternal serum values and PA and/or GWG. Infants born to individuals who were physically active across pregnancy, or who were active in mid-pregnancy and had their activity status drop in late gestation, had lower UC total cholesterol levels than those who were inactive throughout pregnancy (P < 0.0001). Participants who had gained weight appropriately at mid-gestation had significantly lower UC glucose levels than those who gained weight insufficiently (P = 0.040) or excessively (P = 0.021). CONCLUSION In our study, PA, and GWG (independently and in combination) may not have affected maternal serum; however, meeting PA recommendations at mid-gestation may provide prophylactic effects on UC serum, potentially providing long-term health benefits to the newborn.
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Affiliation(s)
- Catherine Everest
- School of Human Kinetics, Faculty of Health Science, University of Ottawa, Ottawa, ON
| | - Danilo F da Silva
- School of Human Kinetics, Faculty of Health Science, University of Ottawa, Ottawa, ON
| | - Jessica Puranda
- School of Human Kinetics, Faculty of Health Science, University of Ottawa, Ottawa, ON
| | - Sara C S Souza
- School of Human Kinetics, Faculty of Health Science, University of Ottawa, Ottawa, ON
| | - Alexandra D Goudreau
- School of Human Kinetics, Faculty of Health Science, University of Ottawa, Ottawa, ON
| | - Taniya S Nagpal
- Department of Kinesiology, Brock University, St. Catharine's, ON
| | - Chris M Edwards
- School of Human Kinetics, Faculty of Health Science, University of Ottawa, Ottawa, ON
| | - Rhea Gupta
- School of Human Kinetics, Faculty of Health Science, University of Ottawa, Ottawa, ON
| | - Kristi B Adamo
- School of Human Kinetics, Faculty of Health Science, University of Ottawa, Ottawa, ON.
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16
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Zhou F, Cheng T, Xing Y, Ma H, Yang L. Network exploration of gene signatures underlying low birth weight induced metabolic alterations. Medicine (Baltimore) 2022; 101:e31489. [PMID: 36316897 PMCID: PMC9622720 DOI: 10.1097/md.0000000000031489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND This study explored underlying gene signatures of low birth weight (LBW) by analyzing differentially expressed genes (DEGs) between LBW and normal birth weight (NBW) subjects. METHODS Subjects with different birth weight was collected from GEO database. P < .05 and | logFC | ≥ 1.0 were used for screening DEGs. David (2021 Update) was used to perform GO annotation and KEGG signaling pathway enrichment analysis. The protein-protein interaction network of DEGs was constructed using the STRING database, in which hub genes were mined through Cytoscape software. RESULTS A total of 326 DEGs were identified, including 287 up-regulated genes and 39 down-regulated genes. The GO biological processes enriched by DEGs mainly involved epidermal growth, keratinization and intermediate fibrous tissue. The DEGs were significantly enriched in intracellular insoluble membranes, desmosomes and extracellular space. Their molecular functions mainly focused on structural molecular activity, structural components of epidermis and structural components of cytoskeleton. PI3K/AKT signaling pathway and tight junction were highlighted as critical pathways enriched by DEGs. Ten hub genes which included KRT14, EGF, DSP, DSG1, KRT16, KRT6A, EPCAM, SPRR1B, PKP1, and PPL were identified from the constructed protein-protein interaction network. CONCLUSION A total of 326 DEGs and 10 hub genes were identified as candidates for metabolic disorders in LBW individuals. Our results indicated PI3K/AKT signaling pathway as an intrauterine adaptive mechanism for LBW individuals. We observed activated PI3K/AKT pathway in LBW individuals, which would promote growth and development at the early stage of life, but adversely introduce extra metabolic stress and thereby potentially induce metabolic disorders in adulthood.
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Affiliation(s)
- Fei Zhou
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang, Hebei, China
- Key Laboratory of Metabolic Diseases, Hebei General Hospital, Shijiazhuang, Hebei, China
| | - Tiantian Cheng
- Key Laboratory of Metabolic Diseases, Hebei General Hospital, Shijiazhuang, Hebei, China
| | - Yuling Xing
- Key Laboratory of Metabolic Diseases, Hebei General Hospital, Shijiazhuang, Hebei, China
| | - Huijuan Ma
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang, Hebei, China
- Key Laboratory of Metabolic Diseases, Hebei General Hospital, Shijiazhuang, Hebei, China
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, Hebei, China
- *Correspondence: Huijuan Ma, Hebei Key Laboratory of Metabolic Diseases, Hebei General Hospital, (e-mail: )
| | - Linlin Yang
- Key Laboratory of Metabolic Diseases, Hebei General Hospital, Shijiazhuang, Hebei, China
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17
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Gonzalez-Riano C, Santos M, Díaz M, García-Beltran C, Lerin C, Barbas C, Ibáñez L, Sánchez-Infantes D. Birth Weight and Early Postnatal Outcomes: Association with the Cord Blood Lipidome. Nutrients 2022; 14:nu14183760. [PMID: 36145136 PMCID: PMC9505183 DOI: 10.3390/nu14183760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 09/02/2022] [Accepted: 09/05/2022] [Indexed: 11/24/2022] Open
Abstract
Being born small or large for gestational age (SGA and LGA, respectively), combined with suboptimal early postnatal outcomes, can entail future metabolic alterations. The exact mechanisms underlying such risks are not fully understood. Lipids are a highly diverse class of molecules that perform multiple structural and metabolic functions. Dysregulation of lipid metabolism underlies the onset and progression of many disorders leading to pathological states. The aim of this pilot study was to investigate the relationships between birth weight, early postnatal outcomes, and cord blood serum lipidomes. We performed a non-targeted lipidomics-based approach to ascertain differences in cord blood lipid species among SGA, LGA, and appropriate-for-GA (AGA) newborns. Moreover, we longitudinally assessed (at birth and at ages of 4 and 12 months) weight and length, body composition (DXA), and clinical parameters. We disclosed distinct cord blood lipidome patterns in SGA, LGA, and AGA newborns; target lipid species distinctly modulated in each SGA, AGA, and LGA individual were associated with parameters related to growth and glucose homeostasis. The distinct lipidome patterns observed in SGA, AGA, and LGA newborns may play a role in adipose tissue remodeling and future metabolic risks. Maternal dietary interventions may potentially provide long-term benefits for the metabolic health of the offspring.
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Affiliation(s)
- Carolina Gonzalez-Riano
- Centro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, 28660 Boadilla del Monte, Spain
| | - Marcelo Santos
- Endocrinology Department, Institut de Recerca Sant Joan de Déu, 08950 Barcelona, Spain
| | - Marta Díaz
- Endocrinology Department, Institut de Recerca Sant Joan de Déu, 08950 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Cristina García-Beltran
- Endocrinology Department, Institut de Recerca Sant Joan de Déu, 08950 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Carles Lerin
- Endocrinology Department, Institut de Recerca Sant Joan de Déu, 08950 Barcelona, Spain
| | - Coral Barbas
- Centro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, 28660 Boadilla del Monte, Spain
| | - Lourdes Ibáñez
- Endocrinology Department, Institut de Recerca Sant Joan de Déu, 08950 Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Correspondence: (L.I.); (D.S.-I.)
| | - David Sánchez-Infantes
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERobn), 28029 Madrid, Spain
- Department of Health Sciences, Campus Alcorcón, University Rey Juan Carlos (URJC), 28922 Madrid, Spain
- Correspondence: (L.I.); (D.S.-I.)
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18
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Castro-Alves V, Orešič M, Hyötyläinen T. Lipidomics in nutrition research. Curr Opin Clin Nutr Metab Care 2022; 25:311-318. [PMID: 35788540 DOI: 10.1097/mco.0000000000000852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE OF REVIEW This review focuses on the recent findings from lipidomics studies as related to nutrition and health research. RECENT FINDINGS Several lipidomics studies have investigated malnutrition, including both under- and overnutrition. Focus has been both on the early-life nutrition as well as on the impact of overfeeding later in life. Multiple studies have investigated the impact of different macronutrients in lipidome on human health, demonstrating that overfeeding with saturated fat is metabolically more harmful than overfeeding with polyunsaturated fat or carbohydrate-rich food. Diet rich in saturated fat increases the lipotoxic lipids, such as ceramides and saturated fatty-acyl-containing triacylglycerols, increasing also the low-density lipoprotein aggregation rate. In contrast, diet rich in polyunsaturated fatty acids, such as n-3 fatty acids, decreases the triacylglycerol levels, although some individuals are poor responders to n-3 supplementation. SUMMARY The results highlight the benefits of lipidomics in clinical nutrition research, also providing an opportunity for personalized nutrition. An area of increasing interest is the interplay of diet, gut microbiome, and metabolome, and how they together impact individuals' responses to nutritional challenges.
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Affiliation(s)
| | - Matej Orešič
- School of Medical Sciences, Örebro University, Örebro, Sweden
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
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19
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Ruan H, Tang Q, Zhao X, Zhang Y, Zhao X, Xiang Y, Geng W, Feng Y, Cai W. The levels of osteopontin in human milk of Chinese mothers and its associations with maternal body composition. FOOD SCIENCE AND HUMAN WELLNESS 2022. [DOI: 10.1016/j.fshw.2022.04.033] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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20
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Tsutsumi T, Yasuda K, Neya M, Okada H, Tokumura A. Lysophosphatidic acid production from lysophosphatidylcholine by lysophospholipase D activity of autotaxin in plasma of women with normal and adverse pregnancies. Prostaglandins Other Lipid Mediat 2022; 163:106670. [PMID: 35963509 DOI: 10.1016/j.prostaglandins.2022.106670] [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: 06/30/2022] [Revised: 08/02/2022] [Accepted: 08/09/2022] [Indexed: 11/29/2022]
Abstract
To identify biomarker lipids causing preterm delivery, we focused on lysophosphatidylcholine (LPC) and lysophosphatidic acid (LPA). The results of liquid chromatography-tandem mass spectrometry revealed that plasma levels of LPCs and LPAs were higher in the first and third (T3) trimesters of human normal and adverse pregnancies than in the second trimester, suggesting the direct metabolic conversion of LPC to LPA by lysophospholipase D (lysoPLD) activity of autotaxin. The elevated LPC and LPA levels in women with preterm deliveries in T3 were higher than in women with term deliveries under normal pregnancy in T3. We measured lysoPLD activity of diluted sera of pregnant women by quantification of choline released from exogenous LPC, and found progressive increases of lysoPLD activities in women with normal and adverse pregnancies. Ratios of lysoPLD activities for linoleoyl LPC to that for palmitoyl LPC were found to be decreased in pregnant women compared to that in non-pregnant women. These results may be due to the altered patterns of endogenous modulators for autotaxin and the profiles of the bound metal ion.
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Affiliation(s)
- Toshihiko Tsutsumi
- Graduate School of Clinical Pharmacy, Kyushu University of Health and Welfare, 1714-1 Yoshinomachi, Nobeoka 882-8508, Japan
| | - Katsuhiko Yasuda
- Department of Obstetrics and Gynecology, Kansai Medical University, Shinmachi, Hirakata 573-1191, Japan
| | - Mariko Neya
- Graduate School of Pharmaceutical Sciences, Tokushima University, 1-78-1 Shomachi, Tokushima 770-8505, Japan
| | - Hidetaka Okada
- Department of Obstetrics and Gynecology, Kansai Medical University, Shinmachi, Hirakata 573-1191, Japan
| | - Akira Tokumura
- Graduate School of Pharmaceutical Sciences, Tokushima University, 1-78-1 Shomachi, Tokushima 770-8505, Japan; Faculty of Pharmacy, Yasuda Women's University, 6-13-1 Yasuhigashi, Asaminami-ku, Hiroshima 731-0153, Japan.
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21
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Mir SA, Chen L, Burugupalli S, Burla B, Ji S, Smith AAT, Narasimhan K, Ramasamy A, Tan KML, Huynh K, Giles C, Mei D, Wong G, Yap F, Tan KH, Collier F, Saffery R, Vuillermin P, Bendt AK, Burgner D, Ponsonby AL, Lee YS, Chong YS, Gluckman PD, Eriksson JG, Meikle PJ, Wenk MR, Karnani N. Population-based plasma lipidomics reveals developmental changes in metabolism and signatures of obesity risk: a mother-offspring cohort study. BMC Med 2022; 20:242. [PMID: 35871677 PMCID: PMC9310480 DOI: 10.1186/s12916-022-02432-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 06/09/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Lipids play a vital role in health and disease, but changes to their circulating levels and the link with obesity remain poorly characterized in expecting mothers and their offspring in early childhood. METHODS LC-MS/MS-based quantitation of 480 lipid species was performed on 2491 plasma samples collected at 4 time points in the mother-offspring Asian cohort GUSTO (Growing Up in Singapore Towards healthy Outcomes). These 4 time points constituted samples collected from mothers at 26-28 weeks of gestation (n=752) and 4-5 years postpartum (n=650), and their offspring at birth (n=751) and 6 years of age (n=338). Linear regression models were used to identify the pregnancy and developmental age-specific variations in the plasma lipidomic profiles, and their association with obesity risk. An independent birth cohort (n=1935), the Barwon Infant Study (BIS), comprising mother-offspring dyads of Caucasian origin was used for validation. RESULTS Levels of 36% of the profiled lipids were significantly higher (absolute fold change > 1.5 and Padj < 0.05) in antenatal maternal circulation as compared to the postnatal phase, with phosphatidylethanolamine levels changing the most. Compared to antenatal maternal lipids, cord blood showed lower concentrations of most lipid species (79%) except lysophospholipids and acylcarnitines. Changes in lipid concentrations from birth to 6 years of age were much higher in magnitude (log2FC=-2.10 to 6.25) than the changes observed between a 6-year-old child and an adult (postnatal mother) (log2FC=-0.68 to 1.18). Associations of cord blood lipidomic profiles with birth weight displayed distinct trends compared to the lipidomic profiles associated with child BMI at 6 years. Comparison of the results between the child and adult BMI identified similarities in association with consistent trends (R2=0.75). However, large number of lipids were associated with BMI in adults (67%) compared to the children (29%). Pre-pregnancy BMI was specifically associated with decrease in the levels of phospholipids, sphingomyelin, and several triacylglycerol species in pregnancy. CONCLUSIONS In summary, our study provides a detailed landscape of the in utero lipid environment provided by the gestating mother to the growing fetus, and the magnitude of changes in plasma lipidomic profiles from birth to early childhood. We identified the effects of adiposity on the circulating lipid levels in pregnant and non-pregnant women as well as offspring at birth and at 6 years of age. Additionally, the pediatric vs maternal overlap of the circulating lipid phenotype of obesity risk provides intergenerational insights and early opportunities to track and intervene the onset of metabolic adversities. CLINICAL TRIAL REGISTRATION This birth cohort is a prospective observational study, which was registered on 1 July 2010 under the identifier NCT01174875 .
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Affiliation(s)
- Sartaj Ahmad Mir
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117596, Singapore.,Singapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, Singapore
| | - Li Chen
- Singapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, Singapore.,Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Brenner Centre for Molecular Medicine, 30 Medical Drive, Singapore, 117609, Singapore
| | - Satvika Burugupalli
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC, 3004, Australia
| | - Bo Burla
- Singapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, Singapore
| | - Shanshan Ji
- Singapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, Singapore
| | - Adam Alexander T Smith
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC, 3004, Australia
| | - Kothandaraman Narasimhan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Brenner Centre for Molecular Medicine, 30 Medical Drive, Singapore, 117609, Singapore
| | - Adaikalavan Ramasamy
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Brenner Centre for Molecular Medicine, 30 Medical Drive, Singapore, 117609, Singapore
| | - Karen Mei-Ling Tan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Brenner Centre for Molecular Medicine, 30 Medical Drive, Singapore, 117609, Singapore
| | - Kevin Huynh
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC, 3004, Australia
| | - Corey Giles
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC, 3004, Australia
| | - Ding Mei
- Singapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, Singapore
| | - Gerard Wong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Brenner Centre for Molecular Medicine, 30 Medical Drive, Singapore, 117609, Singapore
| | - Fabian Yap
- KK Women's and Children's Hospital, Singapore, Singapore
| | - Kok Hian Tan
- KK Women's and Children's Hospital, Singapore, Singapore
| | - Fiona Collier
- School of Medicine, Deakin University, Geelong, Australia.,Child Health Research Unit, Barwon Health, Geelong, Australia.,Murdoch Children's Research Institute, University of Melbourne, Parkville, Australia
| | - Richard Saffery
- Murdoch Children's Research Institute, University of Melbourne, Parkville, Australia.,The Florey Institute of Neuroscience and Mental Health, Parkville, Australia
| | - Peter Vuillermin
- School of Medicine, Deakin University, Geelong, Australia.,Child Health Research Unit, Barwon Health, Geelong, Australia.,Murdoch Children's Research Institute, University of Melbourne, Parkville, Australia
| | - Anne K Bendt
- Singapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, Singapore
| | - David Burgner
- Murdoch Children's Research Institute, University of Melbourne, Parkville, Australia.,The Florey Institute of Neuroscience and Mental Health, Parkville, Australia
| | - Anne-Louise Ponsonby
- Murdoch Children's Research Institute, University of Melbourne, Parkville, Australia.,The Florey Institute of Neuroscience and Mental Health, Parkville, Australia
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Brenner Centre for Molecular Medicine, 30 Medical Drive, Singapore, 117609, Singapore.,Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Brenner Centre for Molecular Medicine, 30 Medical Drive, Singapore, 117609, Singapore.,Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Brenner Centre for Molecular Medicine, 30 Medical Drive, Singapore, 117609, Singapore.,Centre for Human Evolution, Adaptation and Disease, Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Johan G Eriksson
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Brenner Centre for Molecular Medicine, 30 Medical Drive, Singapore, 117609, Singapore.,Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Folkhalsan Research Center, Helsinki, Finland.,Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
| | - Peter J Meikle
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC, 3004, Australia.
| | - Markus R Wenk
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117596, Singapore. .,Singapore Lipidomics Incubator, Life Sciences Institute, National University of Singapore, Singapore, Singapore.
| | - Neerja Karnani
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117596, Singapore. .,Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Brenner Centre for Molecular Medicine, 30 Medical Drive, Singapore, 117609, Singapore. .,DataHub Division, Bioinformatics Institute, Agency for Science, Technology and Research, Singapore, Singapore.
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22
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Aydogan Mathyk B, Piccolo BD, Alvarado F, Shankar K, O'Tierney-Ginn P. Metabolomic signatures of low- and high-adiposity neonates differ based on maternal BMI. Am J Physiol Endocrinol Metab 2022; 322:E540-E550. [PMID: 35466692 PMCID: PMC9169820 DOI: 10.1152/ajpendo.00356.2021] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Maternal obesity [body mass index (BMI) > 30 kg/m2] is associated with greater neonatal adiposity, cord blood (CB) insulin levels, and a proinflammatory phenotype at birth, contributing to risk of future cardiometabolic disease in the offspring. Variation in neonatal adiposity within maternal BMI groups is underappreciated, and it remains unclear whether the metabolic impairments at birth are an outcome of maternal obesity or excess fetal fat accrual. We examined the hypothesis that CB metabolites associated with fetal fat accrual differ between offspring of normal-weight and obese women. Umbilical venous blood was collected at the time of scheduled cesarean delivery from 50 normal-weight women (LE; pregravid BMI = 22.3 ± 1.7 kg/m2) and 50 obese women (OB; BMI = 34.5 ± 3.0 kg/m2). Neonatal adiposity was estimated from flank skinfold thickness. The first (low adiposity, LA) and third (high adiposity, HA) tertiles of neonatal %body fat were used to create four groups: OBLA, OBHA, LELA, and LEHA. CB metabolites were measured via untargeted metabolomics. Broadly, the LA offspring of OB women (OBLA) metabolite signature differed from other groups. Lauric acid (C12:0) was 82-118% higher in OBLA vs. all other groups [false discovery rate (FDR) < 0.01]. Several other fatty acids, including palmitate, stearate, and linoleate, were higher in OBLA vs. OBHA groups. CB metabolites, such as lauric acid, a medium-chain fatty acid that may improve insulin sensitivity, were associated with neonatal adiposity differently between offspring of women with and without obesity. Changes in metabolically active lipids at birth may have long-term consequences for offspring metabolism.NEW & NOTEWORTHY Using untargeted metabolomics in 100 newborns, we found that cord blood metabolite signatures associated with neonatal adiposity differed between offspring of women with and without obesity.
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Affiliation(s)
- Begum Aydogan Mathyk
- Department of Obstetrics and Gynecology, HCA Healthcare/USF Morsani College of Medicine Brandon Regional Hospital, Brandon, Florida
| | - Brian D Piccolo
- United States Department of Agriculture-Agricultural Research Services, Arkansas Children's Nutrition Center, Little Rock, Arkansas
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - Fernanda Alvarado
- Mother Infant Research Institute, Tufts Medical Center, Boston, Massachusetts
| | - Kartik Shankar
- Department of Pediatrics, Section of Nutrition, University of Colorado Anschutz Medical Campus, Aurora, Colorado
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23
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Kim C, Ashrap P, Watkins DJ, Mukherjee B, Rosario-Pabón ZY, Vélez-Vega CM, Alshawabkeh AN, Cordero JF, Meeker JD. Maternal Metals/Metalloid Blood Levels Are Associated With Lipidomic Profiles Among Pregnant Women in Puerto Rico. Front Public Health 2022; 9:754706. [PMID: 35096734 PMCID: PMC8790322 DOI: 10.3389/fpubh.2021.754706] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 12/13/2021] [Indexed: 12/13/2022] Open
Abstract
Background/Aim: The association between heavy metal exposure and adverse birth outcomes is well-established. However, there is a paucity of research identifying biomarker profiles that may improve the early detection of heavy metal-induced adverse birth outcomes. Because lipids are abundant in our body and associated with important signaling pathways, we assessed associations between maternal metals/metalloid blood levels with lipidomic profiles among 83 pregnant women in the Puerto Rico PROTECT birth cohort. Methods: We measured 10 metals/metalloid blood levels during 24–28 weeks of pregnancy. Prenatal plasma lipidomic profiles were identified by liquid chromatography–mass spectrometry-based shotgun lipidomics. We derived sums for each lipid class and sums for each lipid sub-class (saturated, monounsaturated, polyunsaturated), which were then regressed on metals/metalloid. False discovery rate (FDR) adjusted p-values (q-values) were used to account for multiple comparisons. Results: A total of 587 unique lipids from 19 lipid classes were profiled. When controlling for multiple comparisons, we observed that maternal exposure to manganese and zinc were negatively associated with plasmenyl-phosphatidylethanolamine (PLPE), particularly those containing polyunsaturated fatty acid (PUFA) chains. In contrast to manganese and zinc, arsenic and mercury were positively associated with PLPE and plasmenyl-phosphatidylcholine (PLPC). Conclusion: Certain metals were significantly associated with lipids that are responsible for the biophysical properties of the cell membrane and antioxidant defense in lipid peroxidation. This study highlighted lipid-metal associations and we anticipate that this study will open up new avenues for developing diagnostic tools.
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Affiliation(s)
- Christine Kim
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, United States
| | - Pahriya Ashrap
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, United States
| | - Deborah J Watkins
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, United States
| | - Bhramar Mukherjee
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, United States
| | - Zaira Y Rosario-Pabón
- University of Puerto Rico Graduate School of Public Health, UPR Medical Sciences Campus, San Juan, Puerto Rico
| | - Carmen M Vélez-Vega
- University of Puerto Rico Graduate School of Public Health, UPR Medical Sciences Campus, San Juan, Puerto Rico
| | - Akram N Alshawabkeh
- Department of Civil and Environmental Engineering, College of Engineering, Northeastern University, Boston, MA, United States
| | - José F Cordero
- Department of Epidemiology and Biostatistics, University of Georgia, Athens, GA, United States
| | - John D Meeker
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, United States
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24
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Maternal and neonatal one-carbon metabolites and the epigenome-wide infant response. J Nutr Biochem 2022; 101:108938. [PMID: 35017001 PMCID: PMC8847320 DOI: 10.1016/j.jnutbio.2022.108938] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 11/10/2021] [Accepted: 12/22/2021] [Indexed: 12/24/2022]
Abstract
Maternal prenatal status, as encapsulated by that to which a mother is exposed through diet and environment, is a key determinant of offspring health and disease. Alterations in DNA methylation (DNAm) may be a mechanism through which suboptimal prenatal conditions confer disease risk later in life. One-carbon metabolism (OCM) is critical to both fetal development and in supplying methyl donors needed for DNAm. Plasma concentrations of one-carbon metabolites across maternal first trimester (M1), maternal term (M3), and infant cord blood (CB) at birth were tested for association with DNAm patterns in CB from the Michigan Mother and Infant Pairs (MMIP) pregnancy cohort. The Illumina Infinium MethylationEPIC BeadChip was used to quantitatively evaluate DNAm across the epigenome. Global and single-site DNAm and metabolite models were adjusted for infant sex, estimated cell type proportions, and batch as covariates. Change in mean metabolite concentration across pregnancy (M1 to M3) was significantly different for S-adenosylhomocysteine (SAH), S-adenosylmethionine (SAM), betaine, and choline. Both M1 SAH and CB SAH were significantly associated with the global distribution of DNAm in CB, with indications of a shift toward less methylation. M3 SAH and CB SAH also displayed significant associations with locus-specific DNAm in infant CB (FDR<0.05). Our findings underscore the role of maternal one-carbon metabolites in shifting the global DNAm pattern in CB and emphasizes the need to closely evaluate how dietary status influences cellular methylation potential and ultimately offspring health.
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25
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Hartvigsson O, Barman M, Savolainen O, Ross AB, Sandin A, Jacobsson B, Wold AE, Sandberg AS, Brunius C. Differences between Arterial and Venous Umbilical Cord Plasma Metabolome and Association with Parity. Metabolites 2022; 12:metabo12020175. [PMID: 35208249 PMCID: PMC8877791 DOI: 10.3390/metabo12020175] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 02/01/2022] [Accepted: 02/09/2022] [Indexed: 02/01/2023] Open
Abstract
Umbilical cord blood is frequently used in health monitoring of the neonate. Results may be affected by the proportion of arterial and venous cord blood, the venous blood coming from the mother to supply oxygen and nutrients to the infant, and the arterial carrying waste products from the fetus. Here, we sampled arterial and venous umbilical cords separately from 48 newly delivered infants and examined plasma metabolomes using GC-MS/MS metabolomics. We investigated differences in metabolomes between arterial and venous blood and their associations with gestational length, birth weight, sex, and whether the baby was the first born or not, as well as maternal age and BMI. Using multilevel random forest analysis, a classification rate of 79% was achieved for arteriovenous differences (p = 0.004). Several monosaccharides had higher concentrations in the arterial cord plasma while amino acids were higher in venous plasma, suggesting that the main differences in the measured arterial and venous plasma metabolomes are related to amino acid and energy metabolism. Venous cord plasma metabolites related to energy metabolism were positively associated with parity (77% classification rate, p = 0.004) while arterial cord plasma metabolites were not. This underlines the importance of defining cord blood type for metabolomic studies.
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Affiliation(s)
- Olle Hartvigsson
- Division of Food and Nutrition Science, Department of Biology and Biological Engineering, Chalmers University of Technology, 412 96 Göteborg, Sweden; (M.B.); (A.-S.S.); (C.B.)
- Correspondence:
| | - Malin Barman
- Division of Food and Nutrition Science, Department of Biology and Biological Engineering, Chalmers University of Technology, 412 96 Göteborg, Sweden; (M.B.); (A.-S.S.); (C.B.)
- Institute of Environmental Medicine, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Otto Savolainen
- Chalmers Mass Spectrometry Infrastructure, Chalmers University of Technology, 412 96 Göteborg, Sweden;
| | - Alastair B. Ross
- AgResearch, Proteins and Metabolites, Lincoln 7674, New Zealand;
| | - Anna Sandin
- Department of Clinical Science, Pediatrics, Sunderby Research Unit, Umeå University, 901 897 Umeå, Sweden;
| | - Bo Jacobsson
- Department of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, 413 45 Gothenburg, Sweden;
- Department of Obstetrics and Gynecology, Sahlgrenska University Hospital, 413 45 Gothenburg, Sweden
| | - Agnes E. Wold
- Department of Infectious Diseases, Institute of Biomedicine, University of Gothenburg, 413 45 Gothenburg, Sweden;
| | - Ann-Sofie Sandberg
- Division of Food and Nutrition Science, Department of Biology and Biological Engineering, Chalmers University of Technology, 412 96 Göteborg, Sweden; (M.B.); (A.-S.S.); (C.B.)
| | - Carl Brunius
- Division of Food and Nutrition Science, Department of Biology and Biological Engineering, Chalmers University of Technology, 412 96 Göteborg, Sweden; (M.B.); (A.-S.S.); (C.B.)
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26
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Tan Y, Barr DB, Ryan PB, Fedirko V, Sarnat JA, Gaskins AJ, Chang CJ, Tang Z, Marsit CJ, Corwin EJ, Jones DP, Dunlop AL, Liang D. High-resolution metabolomics of exposure to tobacco smoke during pregnancy and adverse birth outcomes in the Atlanta African American maternal-child cohort. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 292:118361. [PMID: 34655695 PMCID: PMC8616856 DOI: 10.1016/j.envpol.2021.118361] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 09/20/2021] [Accepted: 10/10/2021] [Indexed: 05/24/2023]
Abstract
Exposure to tobacco smoke during pregnancy has been associated with a series of adverse reproductive outcomes; however, the underlying molecular mechanisms are not well-established. We conducted an untargeted metabolome-wide association study to identify the metabolic perturbations and molecular mechanisms underlying the association between cotinine, a widely used biomarker of tobacco exposure, and adverse birth outcomes. We collected early and late pregnancy urine samples for cotinine measurement and serum samples for high-resolution metabolomics (HRM) profiling from 105 pregnant women from the Atlanta African American Maternal-Child cohort (2014-2016). Maternal metabolome perturbations mediating prenatal tobacco smoke exposure and adverse birth outcomes were assessed by an untargeted HRM workflow using generalized linear models, followed by pathway enrichment analysis and chemical annotation, with a meet-in-the-middle approach. The median maternal urinary cotinine concentrations were 5.93 μg/g creatinine and 3.69 μg/g creatinine in early and late pregnancy, respectively. In total, 16,481 and 13,043 metabolic features were identified in serum samples at each visit from positive and negative electrospray ionization modes, respectively. Twelve metabolic pathways were found to be associated with both cotinine concentrations and adverse birth outcomes during early and late pregnancy, including tryptophan, histidine, urea cycle, arginine, and proline metabolism. We confirmed 47 metabolites associated with cotinine levels, preterm birth, and shorter gestational age, including glutamate, serine, choline, and taurine, which are closely involved in endogenous inflammation, vascular reactivity, and lipid peroxidation processes. The metabolic perturbations associated with cotinine levels were related to inflammation, oxidative stress, placental vascularization, and insulin action, which could contribute to shorter gestations. The findings will support the further understanding of potential internal responses in association with tobacco smoke exposures, especially among African American women who are disproportionately exposed to high tobacco smoke and experience higher rates of adverse birth outcomes.
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Affiliation(s)
- Youran Tan
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Dana Boyd Barr
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - P Barry Ryan
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Veronika Fedirko
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jeremy A Sarnat
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Audrey J Gaskins
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Che-Jung Chang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Ziyin Tang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Carmen J Marsit
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | | | - Dean P Jones
- Department of Medicine, School of Medicine, Emory University, Atlanta, GA, USA
| | - Anne L Dunlop
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA
| | - Donghai Liang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
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27
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Colicino E, Ferrari F, Cowell W, Niedzwiecki MM, Foppa Pedretti N, Joshi A, Wright RO, Wright RJ. Non-linear and non-additive associations between the pregnancy metabolome and birthweight. ENVIRONMENT INTERNATIONAL 2021; 156:106750. [PMID: 34256302 PMCID: PMC9244839 DOI: 10.1016/j.envint.2021.106750] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 06/11/2021] [Accepted: 07/01/2021] [Indexed: 05/07/2023]
Abstract
BACKGROUND Birthweight is an indicator of fetal growth and environmental-related alterations of birthweight have been linked with multiple disorders and conditions progressing into adulthood. Although a few studies have assessed the association between birthweight and the totality of exogenous exposures and their downstream molecular responses in maternal urine and cord blood; no prior research has considered a) the maternal serum prenatal metabolome, which is enriched for hormones, and b) non-linear and synergistic associations among exposures. METHODS We measured the maternal serum metabolome during pregnancy using an untargeted metabolomics approach and birthweight for gestational age (BWGA) z-score in 410 mother-child dyads enrolled in the PRogramming of Intergenerational Stress Mechanisms (PRISM) cohort. We leveraged a Bayesian factor analysis for interaction to select the most important metabolites associated with BWGA z-score and to evaluate their linear, non-linear and non-additive associations. We also assessed the primary biological functions of the identified proteins using the MetaboAnalyst, a centralized repository of curated functional information. We compared our findings with those of a traditional metabolite-wide association study (MWAS) in which metabolites are individually associated with BWGA z-score. RESULTS Among 1110 metabolites, 46 showed evidence of U-shape associations with BWGA z-score. Most of the identified metabolites (85%) were lipids primarily enriched for pathways central to energy production, immune function, and androgen and estrogen metabolism, which are essential for pregnancy and parturition processes. Metabolites within the same class, i.e. steroids and phospholipids, showed synergistic relationships with each other. CONCLUSIONS Our results support that the aspects of the maternal metabolome during pregnancy contribute linearly, non-linearly and synergistically to variation in newborn birthweight.
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Affiliation(s)
- E Colicino
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - F Ferrari
- Department of Statistical Science, Duke University, Durham, NC, USA
| | - W Cowell
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - M M Niedzwiecki
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - N Foppa Pedretti
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - A Joshi
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - R O Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Kravis Children's Hospital, Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - R J Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Kravis Children's Hospital, Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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28
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Li J, Xu Y, Sun Z, Cai Y, Wang B, Zhang M, Ban Y, Hou X, Hao Y, Ouyang Q, Wu B, Wang M, Wang W. Differential lipids in pregnant women with subclinical hypothyroidism and their correlation to the pregnancy outcomes. Sci Rep 2021; 11:19689. [PMID: 34608242 PMCID: PMC8490420 DOI: 10.1038/s41598-021-99252-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 09/21/2021] [Indexed: 01/07/2023] Open
Abstract
Subclinical hypothyroidism (SCH) has become a prevalent complication in pregnancy. Recent research links SCH to disturbed thyroid lipid profile; however, it is unclear how lipid metabolism disorders contribute to the pathogenesis of SCH during pregnancy. Thus, we used nontargeted lipidomics to identify and compare the lipids and metabolites expressed by pregnant women with SCH and healthy pregnant women. Multivariate analysis revealed 143 lipid molecules differentially expressed between the SCH group and the control group. Based on fold change, 30 differentially expressed lipid metabolites are potential biomarkers. KEGG pathway enrichment analysis showed that the differentially expressed metabolites participate in several pathways, including response to pathogenic Escherichia coli infection, regulation of lipolysis in adipocytes, metabolic pathways, glycerophospholipid metabolism, and fat digestion and absorption pathways. Correlation analyses revealed sphingomyelin (SM) and phosphatidylcholine (PC) positively correlate to tumor necrosis factor-α (TNF-α), C-reactive protein (CRP), and interleukin-6 (IL-6), while phosphatidylglycerol (PG), and phosphatidylinositol (PI) negatively correlate with them. In addition, PG positively correlates to birth weight. Thus, the lipid profile of pregnant women with SCH is significantly different from that of healthy pregnant women. Lipid molecules associated with the differential lipid metabolism, such as SM, phosphatidylethanolamine (PE), and PI, should be further investigated for their roles in the pathogenesis of SCH in pregnancy, as they might be targets for reducing the incidence of adverse pregnancy outcomes.
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Affiliation(s)
- Jingjing Li
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yajuan Xu
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
| | - Zongzong Sun
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yanjun Cai
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Biao Wang
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Miao Zhang
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yanjie Ban
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Xiaofeng Hou
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yingqi Hao
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Qian Ouyang
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Bo Wu
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Mengqi Wang
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Wentao Wang
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
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29
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Jiang S, Pan J, Li Y, Ju M, Zhang W, Lu J, Lv J, Li K. Comprehensive Human Milk Patterns Are Related to Infant Growth and Allergy in the CHMP Study. Mol Nutr Food Res 2021; 65:e2100011. [PMID: 34227225 DOI: 10.1002/mnfr.202100011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 06/10/2021] [Indexed: 12/26/2022]
Abstract
SCOPE The aim of the present study is to identify human milk pattern using multi-omics datasets and to explore association between patterns, infant growth, and allergy using data from the Chinese Human Milk Project (CHMP) study. METHODS AND RESULTS Three patterns are identified from integrative analysis of proteome, lipidome, and glycome profiles of 143 mature human milk samples. Factor 1 is positively associated with 128 proteins, phospholipids, and human milk oligosaccharides (HMOs) including lacto N-neohexaose (LNnH) and lacto-N-difucohexaose II (LNDFH II); factor 2 is negatively associated with as1 -casein, phospholipids while positively associates with HMOs including LNnH, lactosialyl tetrasaccharide c (LSTc), and 2'-fucosyllactose (2'FL); factor 3 is positively associated with lysophospholipids while negatively associates with 27 proteins, triglycerides with two saturated fatty acids, 6'-sialyllactose (6'SL) and 2'FL. In general, factor 1 and factor 2 are associated with slower while factor 3 is associated with faster growth rate (p < 0.044). One unit higher in loadings of factor 2 is associated with 34% lower risk of allergies (p ≤ 0.017). Associations are not significant after adjustment for city except for factor 1. CONCLUSIONS Three possible human milk patterns with varying degree of stability are identified. Future work is needed to understand these patterns in terms of generalization, biologic mechanisms, and genotype influences.
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Affiliation(s)
- Shilong Jiang
- Nutrition and Metabolism Research Division, Innovation Center, Heilongjiang Feihe Dairy Co., Ltd., Beijing, 100015, China.,PKUHSC-China Feihe Joint Research Institute of Nutrition and Healthy Lifespan Development, Xueyuan Road 38, Haidian, Beijing, 100083, China
| | - Jiancun Pan
- Nutrition and Metabolism Research Division, Innovation Center, Heilongjiang Feihe Dairy Co., Ltd., Beijing, 100015, China.,PKUHSC-China Feihe Joint Research Institute of Nutrition and Healthy Lifespan Development, Xueyuan Road 38, Haidian, Beijing, 100083, China
| | - Yuanyuan Li
- Nutrition and Metabolism Research Division, Innovation Center, Heilongjiang Feihe Dairy Co., Ltd., Beijing, 100015, China.,PKUHSC-China Feihe Joint Research Institute of Nutrition and Healthy Lifespan Development, Xueyuan Road 38, Haidian, Beijing, 100083, China
| | - Mengnan Ju
- Nutrition and Metabolism Research Division, Innovation Center, Heilongjiang Feihe Dairy Co., Ltd., Beijing, 100015, China.,PKUHSC-China Feihe Joint Research Institute of Nutrition and Healthy Lifespan Development, Xueyuan Road 38, Haidian, Beijing, 100083, China
| | - Wei Zhang
- Nutrition and Metabolism Research Division, Innovation Center, Heilongjiang Feihe Dairy Co., Ltd., Beijing, 100015, China.,PKUHSC-China Feihe Joint Research Institute of Nutrition and Healthy Lifespan Development, Xueyuan Road 38, Haidian, Beijing, 100083, China
| | - Jing Lu
- Key Laboratory of Agro-Food Processing and Quality Control, Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing, China.,School of Food and Health, Beijing Technology and Business University, Fucheng Road 11, Haidian, Beijing, 100048, China
| | - Jiaping Lv
- Key Laboratory of Agro-Food Processing and Quality Control, Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Kaifeng Li
- Nutrition and Metabolism Research Division, Innovation Center, Heilongjiang Feihe Dairy Co., Ltd., Beijing, 100015, China.,PKUHSC-China Feihe Joint Research Institute of Nutrition and Healthy Lifespan Development, Xueyuan Road 38, Haidian, Beijing, 100083, China
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30
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Furse S, Fernandez-Twinn DS, Chiarugi D, Koulman A, Ozanne SE. Lipid Metabolism Is Dysregulated before, during and after Pregnancy in a Mouse Model of Gestational Diabetes. Int J Mol Sci 2021; 22:7452. [PMID: 34299070 PMCID: PMC8306994 DOI: 10.3390/ijms22147452] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Revised: 07/06/2021] [Accepted: 07/07/2021] [Indexed: 12/29/2022] Open
Abstract
The aim of the current study was to test the hypothesis that maternal lipid metabolism was modulated during normal pregnancy and that these modulations are altered in gestational diabetes mellitus (GDM). We tested this hypothesis using an established mouse model of diet-induced obesity with pregnancy-associated loss of glucose tolerance and a novel lipid analysis tool, Lipid Traffic Analysis, that uses the temporal distribution of lipids to identify differences in the control of lipid metabolism through a time course. Our results suggest that the start of pregnancy is associated with several changes in lipid metabolism, including fewer variables associated with de novo lipogenesis and fewer PUFA-containing lipids in the circulation. Several of the changes in lipid metabolism in healthy pregnancies were less apparent or occurred later in dams who developed GDM. Some changes in maternal lipid metabolism in the obese-GDM group were so late as to only occur as the control dams' systems began to switch back towards the non-pregnant state. These results demonstrate that lipid metabolism is modulated in healthy pregnancy and the timing of these changes is altered in GDM pregnancies. These findings raise important questions about how lipid metabolism contributes to changes in metabolism during healthy pregnancies. Furthermore, as alterations in the lipidome are present before the loss of glucose tolerance, they could contribute to the development of GDM mechanistically.
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Affiliation(s)
- Samuel Furse
- University of Cambridge Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Addenbrooke’s Treatment Centre, Keith Day Road, Cambridge CB2 0QQ, UK; (S.F.); (D.S.F.-T.)
- Core Metabolomics and Lipidomics Laboratory, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Addenbrooke’s Treatment Centre, Keith Day Road, Cambridge CB2 0QQ, UK
- Biological Chemistry Group, Jodrell Laboratory, Royal Botanic Gardens Kew, London TW9 3AD, UK
| | - Denise S. Fernandez-Twinn
- University of Cambridge Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Addenbrooke’s Treatment Centre, Keith Day Road, Cambridge CB2 0QQ, UK; (S.F.); (D.S.F.-T.)
| | - Davide Chiarugi
- Bioinformatics and Biostatistics Core, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Addenbrooke’s Treatment Centre, Keith Day Road, Cambridge CB2 0QQ, UK;
| | - Albert Koulman
- University of Cambridge Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Addenbrooke’s Treatment Centre, Keith Day Road, Cambridge CB2 0QQ, UK; (S.F.); (D.S.F.-T.)
- Core Metabolomics and Lipidomics Laboratory, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Addenbrooke’s Treatment Centre, Keith Day Road, Cambridge CB2 0QQ, UK
| | - Susan E. Ozanne
- University of Cambridge Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Addenbrooke’s Treatment Centre, Keith Day Road, Cambridge CB2 0QQ, UK; (S.F.); (D.S.F.-T.)
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31
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Savva C, Helguero LA, González-Granillo M, Couto D, Melo T, Li X, Angelin B, Domingues MR, Kutter C, Korach-André M. Obese mother offspring have hepatic lipidic modulation that contributes to sex-dependent metabolic adaptation later in life. Commun Biol 2021; 4:14. [PMID: 33398027 PMCID: PMC7782679 DOI: 10.1038/s42003-020-01513-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Accepted: 11/24/2020] [Indexed: 02/05/2023] Open
Abstract
With the increasing prevalence of obesity in women of reproductive age, there is an urgent need to understand the metabolic impact on the fetus. Sex-related susceptibility to liver diseases has been demonstrated but the underlying mechanism remains unclear. Here we report that maternal obesity impacts lipid metabolism differently in female and male offspring. Males, but not females, gained more weight and had impaired insulin sensitivity when born from obese mothers compared to control. Although lipid mass was similar in the livers of female and male offspring, sex-specific modifications in the composition of fatty acids, triglycerides and phospholipids was observed. These overall changes could be linked to sex-specific regulation of genes controlling metabolic pathways. Our findings revised the current assumption that sex-dependent susceptibility to metabolic disorders is caused by sex-specific postnatal regulation and instead we provide molecular evidence supporting in utero metabolic adaptations in the offspring of obese mothers.
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Affiliation(s)
- Christina Savva
- Department of Medicine, Cardio Metabolic Unit (CMU) and KI/AZ Integrated Cardio Metabolic Center (ICMC), Karolinska Institute at Karolinska University Hospital Huddinge, Stockholm, Sweden
- Clinical Department of Endocrinology, Metabolism and Diabetes, Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - Luisa A Helguero
- Institute of Biomedicine, Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
| | - Marcela González-Granillo
- Department of Medicine, Cardio Metabolic Unit (CMU) and KI/AZ Integrated Cardio Metabolic Center (ICMC), Karolinska Institute at Karolinska University Hospital Huddinge, Stockholm, Sweden
- Clinical Department of Endocrinology, Metabolism and Diabetes, Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - Daniela Couto
- CESAM, Centre for Environmental and Marine Studies, Department of Chemistry, University of Aveiro, Santiago University Campus, Aveiro, Portugal
- Mass Spectrometry Centre, LAQV-REQUIMTE, Department of Chemistry, University of Aveiro, Santiago University Campus, Aveiro, Portugal
| | - Tânia Melo
- CESAM, Centre for Environmental and Marine Studies, Department of Chemistry, University of Aveiro, Santiago University Campus, Aveiro, Portugal
- Mass Spectrometry Centre, LAQV-REQUIMTE, Department of Chemistry, University of Aveiro, Santiago University Campus, Aveiro, Portugal
| | - Xidan Li
- Department of Medicine, Cardio Metabolic Unit (CMU) and KI/AZ Integrated Cardio Metabolic Center (ICMC), Karolinska Institute at Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - Bo Angelin
- Department of Medicine, Cardio Metabolic Unit (CMU) and KI/AZ Integrated Cardio Metabolic Center (ICMC), Karolinska Institute at Karolinska University Hospital Huddinge, Stockholm, Sweden
- Clinical Department of Endocrinology, Metabolism and Diabetes, Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - Maria Rosário Domingues
- CESAM, Centre for Environmental and Marine Studies, Department of Chemistry, University of Aveiro, Santiago University Campus, Aveiro, Portugal
- Mass Spectrometry Centre, LAQV-REQUIMTE, Department of Chemistry, University of Aveiro, Santiago University Campus, Aveiro, Portugal
| | - Claudia Kutter
- Department of Microbiology, Tumor and Cell Biology, Science for Life Laboratory, Karolinska Institute, Stockholm, Sweden
| | - Marion Korach-André
- Department of Medicine, Cardio Metabolic Unit (CMU) and KI/AZ Integrated Cardio Metabolic Center (ICMC), Karolinska Institute at Karolinska University Hospital Huddinge, Stockholm, Sweden.
- Clinical Department of Endocrinology, Metabolism and Diabetes, Karolinska University Hospital Huddinge, Stockholm, Sweden.
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32
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LaBarre JL, McCabe CF, Jones TR, Song PX, Domino SE, Treadwell MC, Dolinoy DC, Padmanabhan V, Burant CF, Goodrich JM. Maternal lipodome across pregnancy is associated with the neonatal DNA methylome. Epigenomics 2020; 12:2077-2092. [PMID: 33290095 DOI: 10.2217/epi-2020-0234] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Aim: To classify the association between the maternal lipidome and DNA methylation in cord blood leukocytes. Materials & methods: Untargeted lipidomics was performed on first trimester maternal plasma (M1) and delivery maternal plasma (M3) in 100 mothers from the Michigan Mother-Infant Pairs cohort. Cord blood leukocyte DNA methylation was profiled using the Infinium EPIC bead array and empirical Bayes modeling identified differential DNA methylation related to maternal lipid groups. Results: M3-saturated lysophosphatidylcholine was associated with 45 differentially methylated loci and M3-saturated lysophosphatidylethanolamine was associated with 18 differentially methylated loci. Biological pathways enriched among differentially methylated loci by M3 saturated lysophosphatidylcholines were related to cell proliferation and growth. Conclusion: The maternal lipidome may be influential in establishing the infant epigenome.
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Affiliation(s)
- Jennifer L LaBarre
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA.,Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Carolyn F McCabe
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Tamara R Jones
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Peter Xk Song
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Steven E Domino
- Department of Obstetrics & Gynecology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Marjorie C Treadwell
- Department of Obstetrics & Gynecology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Dana C Dolinoy
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.,Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Vasantha Padmanabhan
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.,Department of Obstetrics & Gynecology, University of Michigan Medical School, Ann Arbor, MI, USA.,Department of Pediatrics, University of Michigan, Ann Arbor, MI, USA
| | - Charles F Burant
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Jaclyn M Goodrich
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
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33
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Application of Differential Network Enrichment Analysis for Deciphering Metabolic Alterations. Metabolites 2020; 10:metabo10120479. [PMID: 33255384 PMCID: PMC7761243 DOI: 10.3390/metabo10120479] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 11/11/2020] [Accepted: 11/17/2020] [Indexed: 12/14/2022] Open
Abstract
Modern analytical methods allow for the simultaneous detection of hundreds of metabolites, generating increasingly large and complex data sets. The analysis of metabolomics data is a multi-step process that involves data processing and normalization, followed by statistical analysis. One of the biggest challenges in metabolomics is linking alterations in metabolite levels to specific biological processes that are disrupted, contributing to the development of disease or reflecting the disease state. A common approach to accomplishing this goal involves pathway mapping and enrichment analysis, which assesses the relative importance of predefined metabolic pathways or other biological categories. However, traditional knowledge-based enrichment analysis has limitations when it comes to the analysis of metabolomics and lipidomics data. We present a Java-based, user-friendly bioinformatics tool named Filigree that provides a primarily data-driven alternative to the existing knowledge-based enrichment analysis methods. Filigree is based on our previously published differential network enrichment analysis (DNEA) methodology. To demonstrate the utility of the tool, we applied it to previously published studies analyzing the metabolome in the context of metabolic disorders (type 1 and 2 diabetes) and the maternal and infant lipidome during pregnancy.
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