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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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Fuller H, Zhu Y, Nicholas J, Chatelaine HA, Drzymalla EM, Sarvestani AK, Julián-Serrano S, Tahir UA, Sinnott-Armstrong N, Raffield LM, Rahnavard A, Hua X, Shutta KH, Darst BF. Metabolomic epidemiology offers insights into disease aetiology. Nat Metab 2023; 5:1656-1672. [PMID: 37872285 PMCID: PMC11164316 DOI: 10.1038/s42255-023-00903-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Accepted: 09/06/2023] [Indexed: 10/25/2023]
Abstract
Metabolomic epidemiology is the high-throughput study of the relationship between metabolites and health-related traits. This emerging and rapidly growing field has improved our understanding of disease aetiology and contributed to advances in precision medicine. As the field continues to develop, metabolomic epidemiology could lead to the discovery of diagnostic biomarkers predictive of disease risk, aiding in earlier disease detection and better prognosis. In this Review, we discuss key advances facilitated by the field of metabolomic epidemiology for a range of conditions, including cardiometabolic diseases, cancer, Alzheimer's disease and COVID-19, with a focus on potential clinical utility. Core principles in metabolomic epidemiology, including study design, causal inference methods and multi-omic integration, are briefly discussed. Future directions required for clinical translation of metabolomic epidemiology findings are summarized, emphasizing public health implications. Further work is needed to establish which metabolites reproducibly improve clinical risk prediction in diverse populations and are causally related to disease progression.
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Affiliation(s)
- Harriett Fuller
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Yiwen Zhu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jayna Nicholas
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Haley A Chatelaine
- National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA
| | - Emily M Drzymalla
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Afrand K Sarvestani
- Computational Biology Institute, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA
| | | | - Usman A Tahir
- Department of Cardiology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | | | - Laura M Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ali Rahnavard
- Computational Biology Institute, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA
| | - Xinwei Hua
- Department of Cardiology, Peking University Third Hospital, Beijing, China
| | - Katherine H Shutta
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Burcu F Darst
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
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Kabbani N, Blüher M, Stepan H, Stumvoll M, Ebert T, Tönjes A, Schrey-Petersen S. Adipokines in Pregnancy: A Systematic Review of Clinical Data. Biomedicines 2023; 11:biomedicines11051419. [PMID: 37239090 DOI: 10.3390/biomedicines11051419] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 04/29/2023] [Accepted: 05/09/2023] [Indexed: 05/28/2023] Open
Abstract
Adipokines are signaling proteins involved in metabolic, endocrinological, vascular and immunogenic processes. Associations of various adipokines with not only insulin resistance but also with increased insulin sensitivity, increased systolic blood pressure, and atherosclerosis highlight the significance of adipokines in several components of metabolic syndrome and metabolic diseases in general. As pregnancy presents a unique metabolic state, the role of adipokines in pregnancy, and even in various pregnancy complications, appears to be key to elucidating these metabolic processes. Many studies in recent years have attempted to clarify the role of adipokines in pregnancy and gestational pathologies. In this review, we aim to investigate the changes in maternal adipokine levels in physiological gestation, as well as the association of adipokines with pregnancy pathologies, such as gestational diabetes mellitus (GDM) and preeclampsia (PE). Furthermore, we will analyze the association of adipokines in both maternal serum and cord blood with parameters of intrauterine growth and various pregnancy outcomes.
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Affiliation(s)
- Noura Kabbani
- Department of Obstetrics, University of Leipzig Medical Center, 04103 Leipzig, Germany
| | - Matthias Blüher
- Medical Department III-Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, 04103 Leipzig, Germany
- Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Zentrum München, The University of Leipzig and University Hospital Leipzig, 04103 Leipzig, Germany
| | - Holger Stepan
- Department of Obstetrics, University of Leipzig Medical Center, 04103 Leipzig, Germany
| | - Michael Stumvoll
- Medical Department III-Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, 04103 Leipzig, Germany
| | - Thomas Ebert
- Medical Department III-Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, 04103 Leipzig, Germany
| | - Anke Tönjes
- Medical Department III-Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, 04103 Leipzig, Germany
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Yeum D, Gilbert-Diamond D, Doherty B, Coker M, Stewart D, Kirchner D, McRitchie S, Sumner S, Karagas MR, Hoen AG. Associations of maternal plasma and umbilical cord plasma metabolomics profiles with birth anthropometric measures. Pediatr Res 2023:10.1038/s41390-022-02449-2. [PMID: 36627359 DOI: 10.1038/s41390-022-02449-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 10/11/2022] [Accepted: 12/15/2022] [Indexed: 01/11/2023]
Abstract
BACKGROUND The metabolomics profiles of maternal plasma during pregnancy and cord plasma at birth might influence fetal growth and birth anthropometry. The objective was to examine how maternal plasma and umbilical cord plasma metabolites are associated with newborn anthropometric measures, a known predictor of future health outcomes. METHODS Pregnant women between 24 and 28 weeks of gestation were recruited as part of a prospective cohort study. Blood samples from 413 women at enrollment and 787 infant cord blood samples were analyzed using the Biocrates AbsoluteIDQ® p180 kit. Multivariable linear regression models were used to examine associations of cord and maternal metabolites with infant anthropometry at birth. RESULTS In cord blood samples from this rural cohort from New Hampshire of largely white residents, 13 metabolites showed negative associations, and 10 metabolites showed positive associations with birth weight Z-score. Acylcarnitine C5 showed negative association, and 4 lysophosphatidylcholines showed positive associations with birth length Z-score. Maternal blood metabolites did not significantly correlate with birth weight and length Z-scores. CONCLUSIONS Consistent findings were observed for several acylcarnitines that play a role in utilization of energy sources, and a lysophosphatidylcholine that is part of oxidative stress and inflammatory response pathways in cord plasma samples. IMPACT The metabolomics profiles of maternal plasma during pregnancy and cord plasma at birth may influence fetal growth and birth anthropometry. This study examines the independent effects of maternal gestational and infant cord blood metabolomes across different classes of metabolites on birth anthropometry. Acylcarnitine species were negatively associated and glycerophospholipids species were positively associated with weight and length Z-scores at birth in the cord plasma samples, but not in the maternal plasma samples. This study identifies lipid metabolites in infants that possibly may affect early growth.
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Affiliation(s)
- Dabin Yeum
- Department of Epidemiology, The Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.
| | - Diane Gilbert-Diamond
- Department of Epidemiology, The Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.,Children's Environmental Health and Disease Prevention Center at Dartmouth, Hanover, NH, USA
| | - Brett Doherty
- Department of Epidemiology, The Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
| | - Modupe Coker
- Department of Oral Biology, Rutgers School of Dental Medicine, Rutgers State University of New Jersey, Newark, NJ, USA
| | - Delisha Stewart
- Department of Nutrition, Gillings School of Global Public Health, Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, USA
| | - David Kirchner
- Department of Nutrition, Gillings School of Global Public Health, Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, USA
| | - Susan McRitchie
- Department of Nutrition, Gillings School of Global Public Health, Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, USA
| | - Susan Sumner
- Department of Nutrition, Gillings School of Global Public Health, Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC, USA
| | - Margaret R Karagas
- Department of Epidemiology, The Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.,Children's Environmental Health and Disease Prevention Center at Dartmouth, Hanover, NH, USA
| | - Anne G Hoen
- Department of Epidemiology, The Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.,Department of Biomedical Data Science, Geisel School of Medicine, Lebanon, NH, USA
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Barry CJS, Lawlor DA, Shapland CY, Sanderson E, Borges MC. Using Mendelian Randomisation to Prioritise Candidate Maternal Metabolic Traits Influencing Offspring Birthweight. Metabolites 2022; 12:537. [PMID: 35736469 PMCID: PMC9231269 DOI: 10.3390/metabo12060537] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 06/06/2022] [Accepted: 06/07/2022] [Indexed: 12/27/2022] Open
Abstract
Marked physiological changes in pregnancy are essential to support foetal growth; however, evidence on the role of specific maternal metabolic traits from human studies is limited. We integrated Mendelian randomisation (MR) and metabolomics data to probe the effect of 46 maternal metabolic traits on offspring birthweight (N = 210,267). We implemented univariable two-sample MR (UVMR) to identify candidate metabolic traits affecting offspring birthweight. We then applied two-sample multivariable MR (MVMR) to jointly estimate the potential direct causal effect for each candidate maternal metabolic trait. In the main analyses, UVMR indicated that higher maternal glucose was related to higher offspring birthweight (0.328 SD difference in mean birthweight per 1 SD difference in glucose (95% CI: 0.104, 0.414)), as were maternal glutamine (0.089 (95% CI: 0.033, 0.144)) and alanine (0.137 (95% CI: 0.036, 0.239)). In additional analyses, UVMR estimates were broadly consistent when selecting instruments from an independent data source, albeit imprecise for glutamine and alanine, and were attenuated for alanine when using other UVMR methods. MVMR results supported independent effects of these metabolites, with effect estimates consistent with those seen with the UVMR results. Among the remaining 43 metabolic traits, UVMR estimates indicated a null effect for most lipid-related traits and a high degree of uncertainty for other amino acids and ketone bodies. Our findings suggest that maternal gestational glucose and glutamine are causally related to offspring birthweight.
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Affiliation(s)
- Ciarrah-Jane Shannon Barry
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK; (D.A.L.); (C.Y.S.); (E.S.); (M.C.B.)
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2PS, UK
| | - Deborah A. Lawlor
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK; (D.A.L.); (C.Y.S.); (E.S.); (M.C.B.)
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2PS, UK
- NIHR Bristol Biomedical Research Centre, Bristol BS8 2BN, UK
| | - Chin Yang Shapland
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK; (D.A.L.); (C.Y.S.); (E.S.); (M.C.B.)
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2PS, UK
| | - Eleanor Sanderson
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK; (D.A.L.); (C.Y.S.); (E.S.); (M.C.B.)
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2PS, UK
| | - Maria Carolina Borges
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK; (D.A.L.); (C.Y.S.); (E.S.); (M.C.B.)
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2PS, UK
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Voerman E, Jaddoe VWV, Shokry E, Ruijter GJG, Felix JF, Koletzko B, Gaillard R. Associations of maternal and infant metabolite profiles with foetal growth and the odds of adverse birth outcomes. Pediatr Obes 2022; 17:e12844. [PMID: 34384140 PMCID: PMC9285592 DOI: 10.1111/ijpo.12844] [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: 02/23/2021] [Revised: 07/18/2021] [Accepted: 07/26/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND Adaptations in maternal and foetal metabolic pathways may predispose to altered foetal growth and adverse birth outcomes. OBJECTIVE To assess the associations of maternal early-pregnancy metabolite profiles and infant metabolite profiles at birth with foetal growth from first trimester onwards and the odds of adverse birth outcomes. METHODS In a prospective population-based cohort among 976 Dutch pregnant women and their children, serum concentrations of amino acids, non-esterified fatty acids (NEFA), phospholipids (PL) and carnitines in maternal early-pregnancy blood and in cord blood were obtained by liquid-chromatography tandem mass spectrometry. Information on foetal growth was available from first trimester onwards. RESULTS After false discovery rate correction for multiple testing, higher infant total and individual NEFA concentrations were associated with a lower weight, length, and head circumference at birth. Higher infant total and individual acyl-lysophosphatidylcholine (lyso.PC.a) and alkyl-lysophosphatidylcholine concentrations were associated with higher weight and head circumference (lyso.PC.a only) at birth, higher odds of LGA and lower odds of SGA. Few individual maternal metabolites were associated with foetal growth measures in third trimester and at birth, but not with the odds of adverse birth outcomes. CONCLUSIONS Our results suggest that infant metabolite profiles, particularly total and individual lyso.PC.a and NEFA concentrations, were strongly related to growth measures at birth and the odds of adverse birth outcomes. Few individual maternal early-pregnancy metabolites, but not total metabolite concentrations, are associated with foetal growth measures in third trimester and at birth.
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Affiliation(s)
- Ellis Voerman
- The Generation R Study Group, Erasmus MCUniversity Medical Center RotterdamRotterdamThe Netherlands,Department of Pediatrics, Erasmus MCUniversity Medical Center RotterdamRotterdamThe Netherlands
| | - Vincent W. V. Jaddoe
- The Generation R Study Group, Erasmus MCUniversity Medical Center RotterdamRotterdamThe Netherlands,Department of Pediatrics, Erasmus MCUniversity Medical Center RotterdamRotterdamThe Netherlands
| | - Engy Shokry
- Division of Metabolic and Nutritional Medicine, Department of Paediatrics, Dr. von Hauner Children's HospitalLMU ‐ Ludwig‐Maximilians Universität MünchenMunichGermany
| | - George J. G. Ruijter
- Department of Clinical Genetics, Center for Lysosomal and Metabolic Disease, Erasmus MCUniversity Medical Center RotterdamRotterdamThe Netherlands
| | - Janine F. Felix
- The Generation R Study Group, Erasmus MCUniversity Medical Center RotterdamRotterdamThe Netherlands,Department of Pediatrics, Erasmus MCUniversity Medical Center RotterdamRotterdamThe Netherlands
| | - Berthold Koletzko
- Division of Metabolic and Nutritional Medicine, Department of Paediatrics, Dr. von Hauner Children's HospitalLMU ‐ Ludwig‐Maximilians Universität MünchenMunichGermany
| | - Romy Gaillard
- The Generation R Study Group, Erasmus MCUniversity Medical Center RotterdamRotterdamThe Netherlands,Department of Pediatrics, Erasmus MCUniversity Medical Center RotterdamRotterdamThe Netherlands
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Wahab RJ, Jaddoe VWV, Voerman E, Ruijter GJG, Felix JF, Marchioro L, Uhl O, Shokry E, Koletzko B, Gaillard R. Maternal Body Mass Index, Early-Pregnancy Metabolite Profile, and Birthweight. J Clin Endocrinol Metab 2022; 107:e315-e327. [PMID: 34390344 PMCID: PMC8684472 DOI: 10.1210/clinem/dgab596] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Indexed: 11/19/2022]
Abstract
CONTEXT Maternal prepregnancy body mass index (BMI) has a strong influence on gestational metabolism, but detailed metabolic alterations are unknown. OBJECTIVE First, to examine the associations of maternal prepregnancy BMI with maternal early-pregnancy metabolite alterations. Second, to identify an early-pregnancy metabolite profile associated with birthweight in women with a higher prepregnancy BMI that improved prediction of birthweight compared to glucose and lipid concentrations. DESIGN, SETTING, AND PARTICIPANTS Prepregnancy BMI was obtained in a subgroup of 682 Dutch pregnant women from the Generation R prospective cohort study. MAIN OUTCOME MEASURES Maternal nonfasting targeted amino acids, nonesterified fatty acid, phospholipid, and carnitine concentrations measured in blood serum at mean gestational age of 12.8 weeks. Birthweight was obtained from medical records. RESULTS A higher prepregnancy BMI was associated with 72 altered amino acids, nonesterified fatty acid, phospholipid and carnitine concentrations, and 6 metabolite ratios reflecting Krebs cycle, inflammatory, oxidative stress, and lipid metabolic processes (P-values < 0.05). Using penalized regression models, a metabolite profile was selected including 15 metabolites and 4 metabolite ratios based on its association with birthweight in addition to prepregnancy BMI. The adjusted R2 of birthweight was 6.1% for prepregnancy BMI alone, 6.2% after addition of glucose and lipid concentrations, and 12.9% after addition of the metabolite profile. CONCLUSIONS A higher maternal prepregnancy BMI was associated with altered maternal early-pregnancy amino acids, nonesterified fatty acids, phospholipids, and carnitines. Using these metabolites, we identified a maternal metabolite profile that improved prediction of birthweight in women with a higher prepregnancy BMI compared to glucose and lipid concentrations.
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Affiliation(s)
- Rama J Wahab
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam,the Netherlands
- Department of Pediatrics, Sophia’s Children’s Hospital, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam,the Netherlands
- Department of Pediatrics, Sophia’s Children’s Hospital, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Ellis Voerman
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam,the Netherlands
- Department of Pediatrics, Sophia’s Children’s Hospital, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - George J G Ruijter
- Department of Clinical Genetics, Center for Lysosomal and Metabolic Disease, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam,the Netherlands
- Department of Pediatrics, Sophia’s Children’s Hospital, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Linda Marchioro
- Division of Metabolic and Nutritional Medicine, Dept. Paediatrics, Dr. von Hauner Children’s Hospital, LMU University Hospitals, Munich, Germany
| | - Olaf Uhl
- Division of Metabolic and Nutritional Medicine, Dept. Paediatrics, Dr. von Hauner Children’s Hospital, LMU University Hospitals, Munich, Germany
| | - Engy Shokry
- Division of Metabolic and Nutritional Medicine, Dept. Paediatrics, Dr. von Hauner Children’s Hospital, LMU University Hospitals, Munich, Germany
| | - Berthold Koletzko
- Division of Metabolic and Nutritional Medicine, Dept. Paediatrics, Dr. von Hauner Children’s Hospital, LMU University Hospitals, Munich, Germany
| | - Romy Gaillard
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam,the Netherlands
- Department of Pediatrics, Sophia’s Children’s Hospital, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
- Correspondence: Romy Gaillard, MD, PhD, The Generation R Study Group, Erasmus University Medical Center, PO Box 2040, 3000 CA Rotterdam, the Netherlands.
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Li Y, Sun Y, Zhang X, Wang X, Yang P, Guan X, Wang Y, Zhou X, Hu P, Jiang T, Xu Z. Relationship between amniotic fluid metabolic profile with fetal gender, maternal age, and gestational week. BMC Pregnancy Childbirth 2021; 21:638. [PMID: 34537001 PMCID: PMC8449898 DOI: 10.1186/s12884-021-04116-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 09/11/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Amniotic fluid (AF) provides vital information on fetal development, which is also valuable in identifying fetal abnormalities during pregnancy. However, the relationship between the metabolic profile of AF in the second trimester of a normal pregnancy with several maternal-fetal parameters remains poorly understood, which therefore limits its application in clinical practice. The aim of this study was to explore the association between the metabolic profile of AF with fetal gender, maternal age, and gestational week using an untargeted metabolomics method. METHODS A total of 114 AF samples were analyzed in this study. Clinical data on fetal gender, maternal age, and gestational week of these samples were collected. Samples were analyzed by gas chromatography/time-of-flight-mass spectrometry (GC-TOF/MS). Principal component analysis(PCA), orthogonal partial least square discrimination analysis(OPLS-DA) or partial least square discrimination analysis (PLS-DA) were conducted to compare metabolic profiles, and differential metabolites were obtained by univariate analysis. RESULTS Both PCA and OPLS-DA demonstrated no significant separation trend between the metabolic profiles of male and female fetuses, and there were only 7 differential metabolites. When the association between the maternal age on AF metabolic profile was explored, both PCA and PLS-DA revealed that the maternal age in the range of 21 to 40 years had no significant effect on the metabolic profile of AF, and only four different metabolites were found. There was no significant difference in the metabolic profiles of AF from fetuses of 17-22 weeks, and 23 differential metabolites were found. CONCLUSIONS In the scope of our study, there was no significant correlation between the AF metabolic profile and the fetal gender, maternal age and gestational week of a small range. Nevertheless, few metabolites appeared differentially expressed.
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Affiliation(s)
- Yahong Li
- Center for Genetic Medicine, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, 123 Tianfei Road, Nanjing, Jiangsu, 210004, P. R. China
| | - Yun Sun
- Center for Genetic Medicine, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, 123 Tianfei Road, Nanjing, Jiangsu, 210004, P. R. China
| | - Xiaojuan Zhang
- Center for Genetic Medicine, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, 123 Tianfei Road, Nanjing, Jiangsu, 210004, P. R. China
| | - Xin Wang
- Center for Genetic Medicine, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, 123 Tianfei Road, Nanjing, Jiangsu, 210004, P. R. China
| | - Peiying Yang
- Center for Genetic Medicine, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, 123 Tianfei Road, Nanjing, Jiangsu, 210004, P. R. China
| | - Xianwei Guan
- Center for Genetic Medicine, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, 123 Tianfei Road, Nanjing, Jiangsu, 210004, P. R. China
| | - Yan Wang
- Center for Genetic Medicine, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, 123 Tianfei Road, Nanjing, Jiangsu, 210004, P. R. China
| | - Xiaoyan Zhou
- Department of Obstetrics, The Affiliated Huaian No, 1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu, 223001, P. R. China
| | - Ping Hu
- Center for Genetic Medicine, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, 123 Tianfei Road, Nanjing, Jiangsu, 210004, P. R. China.
| | - Tao Jiang
- Center for Genetic Medicine, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, 123 Tianfei Road, Nanjing, Jiangsu, 210004, P. R. China.
| | - Zhengfeng Xu
- Center for Genetic Medicine, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, 123 Tianfei Road, Nanjing, Jiangsu, 210004, P. R. China.
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Maternal plasma metabolic markers of neonatal adiposity and associated maternal characteristics: The GUSTO study. Sci Rep 2020; 10:9422. [PMID: 32523012 PMCID: PMC7287081 DOI: 10.1038/s41598-020-66026-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 05/12/2020] [Indexed: 11/23/2022] Open
Abstract
Infant adiposity may be related to later metabolic health. Maternal metabolite profiling reflects both genetic and environmental influences and allows elucidation of metabolic pathways associated with infant adiposity. In this multi-ethnic Asian cohort, we aimed to (i) identify maternal plasma metabolites associated with infant adiposity and other birth outcomes and (ii) investigate the maternal characteristics associated with those metabolites. In 940 mother-offspring pairs, we performed gas chromatography-mass spectrometry and identified 134 metabolites in maternal fasting plasma at 26–28 weeks of gestation. At birth, neonatal triceps and subscapular skinfold thicknesses were measured by trained research personnel, while weight and length measures were abstracted from delivery records. Gestational age was estimated from first-trimester dating ultrasound. Associations were assessed by multivariable linear regression, with p-values corrected using the Benjamini-Hochberg approach. At a false discovery rate of 5%, we observed associations between 28 metabolites and neonatal sum of skinfold thicknesses (13 amino acid-related, 4 non-esterified fatty acids, 6 xenobiotics, and 5 unknown compounds). Few associations were observed with gestational duration, birth weight, or birth length. Maternal ethnicity, pre-pregnancy BMI, and diet quality during pregnancy had the strongest associations with the specific metabolome related to infant adiposity. Further studies are warranted to replicate our findings and to understand the underlying mechanisms.
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10
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Hu X, Li S, Cirillo P, Krigbaum N, Tran V, Ishikawa T, La Merrill MA, Jones DP, Cohn B. Metabolome Wide Association Study of serum DDT and DDE in Pregnancy and Early Postpartum. Reprod Toxicol 2020; 92:129-137. [PMID: 31102720 PMCID: PMC7055929 DOI: 10.1016/j.reprotox.2019.05.059] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Revised: 05/07/2019] [Accepted: 05/09/2019] [Indexed: 02/06/2023]
Abstract
The advancement of high-resolution metabolomics (HRM) and metabolome-wide-association study (MWAS) enables the readout of environmental effects in human specimens. We used HRM to understand DDT-induced alterations of in utero environment and potential health effects. Endogenous metabolites were measured in 397 maternal perinatal serum samples collected during 1959-1967 in the Child Health and Development Studies (CHDS) and in 16 maternal postnatal serum samples of mice treated with or without DDT. MWAS was performed to assess associations between metabolites and p,p'-DDT, o,p'-DDT and p,p'-DDE levels, followed by pathway analysis. Distinct metabolic profiles were found with p,p'-DDT and p,p'-DDE. Amino acids such arginine had a strong association with p,p'-DDT and o,p'-DDT in both women and mice, whereas lipids and acyl-carnitine intermediates were found exclusively associated with p,p'-DDE in CHDS women indicating mitochondrial impairment. It suggests that the role of serine and fatty acid metabolism on the causal disease pathway should be examined.
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Affiliation(s)
- Xin Hu
- Department of Medicine, School of Medicine, Emory University, Atlanta, GA 30303, USA
| | - Shuzhao Li
- Department of Medicine, School of Medicine, Emory University, Atlanta, GA 30303, USA
| | - Piera Cirillo
- The Center for Research on Women and Children's Health, Child Health and Development Studies, Public Health Institute, 1683 Shattuck Avenue, Suite B, Berkeley, CA 94709, USA
| | - Nickilou Krigbaum
- The Center for Research on Women and Children's Health, Child Health and Development Studies, Public Health Institute, 1683 Shattuck Avenue, Suite B, Berkeley, CA 94709, USA
| | - ViLinh Tran
- Department of Medicine, School of Medicine, Emory University, Atlanta, GA 30303, USA
| | - Tomoko Ishikawa
- Department of Environmental Toxicology, University of California, Davis, CA 95616, USA
| | - Michele A La Merrill
- Department of Environmental Toxicology, University of California, Davis, CA 95616, USA
| | - Dean P Jones
- Department of Medicine, School of Medicine, Emory University, Atlanta, GA 30303, USA.
| | - Barbara Cohn
- The Center for Research on Women and Children's Health, Child Health and Development Studies, Public Health Institute, 1683 Shattuck Avenue, Suite B, Berkeley, CA 94709, USA.
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11
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Schlueter RJ, Al-Akwaa FM, Benny PA, Gurary A, Xie G, Jia W, Chun SJ, Chern I, Garmire LX. Prepregnant Obesity of Mothers in a Multiethnic Cohort Is Associated with Cord Blood Metabolomic Changes in Offspring. J Proteome Res 2020; 19:1361-1374. [PMID: 31975597 DOI: 10.1021/acs.jproteome.9b00319] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Maternal obesity has become a growing global health concern that may predispose the offspring to medical conditions later in life. However, the metabolic link between maternal prepregnant obesity and healthy offspring has not yet been fully elucidated. In this study, we conducted a case-control study using a coupled untargeted and targeted metabolomic approach from the newborn cord blood metabolomes associated with a matched maternal prepregnant obesity cohort of 28 cases and 29 controls. The subjects were recruited from multiethnic populations in Hawaii, including rarely reported Native Hawaiian and other Pacific Islanders (NHPI). We found that maternal obesity was the most important factor contributing to differences in cord blood metabolomics. Using an elastic net regularization-based logistic regression model, we identified 29 metabolites as potential early-life biomarkers manifesting intrauterine effect of maternal obesity, with accuracy as high as 0.947 after adjusting for clinical confounding (maternal and paternal age, ethnicity, parity, and gravidity). We validated the model results in a subsequent set of samples (N = 30) with an accuracy of 0.822. Among the metabolites, six metabolites (galactonic acid, butenylcarnitine, 2-hydroxy-3-methylbutyric acid, phosphatidylcholine diacyl C40:3, 1,5-anhydrosorbitol, and phosphatidylcholine acyl-alkyl 40:3) were individually and significantly different between the maternal obese and normal-weight groups. Interestingly, hydroxy-3-methylbutyric acid showed significantly higher levels in cord blood from the NHPI group compared to that from Asian and Caucasian groups. In summary, significant associations were observed between maternal prepregnant obesity and offspring metabolomic alternation at birth, revealing the intergenerational impact of maternal obesity.
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Affiliation(s)
- Ryan J Schlueter
- Department of Obstetrics and Gynecology, University of Hawaii, 1319 Punahou St Ste 824, Honolulu, Hawaii 96826, United States
| | - Fadhl M Al-Akwaa
- Department of Computational Medicine and Bioinformatics, North Campus Research Complex, University of Michigan, 1600 Huron Parkway, Ann Arbor, Michigan 48105, United States
| | - Paula A Benny
- Department of Epidemiology, University of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, Hawaii 96813, United States
| | - Alexandra Gurary
- John A. Burns School of Medicine, Department of Tropical Medicine, Medical Microbiology and Pharmacology, University of Hawaii, 651 Ilalo Street, Bioscience Building 320, Honolulu, Hawaii 96813, United States
| | - Guoxiang Xie
- Metabolomics Shared Resource, University of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, Hawaii 96813, United States
| | - Wei Jia
- Metabolomics Shared Resource, University of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, Hawaii 96813, United States
| | - Shaw J Chun
- Department of Epidemiology, University of Hawaii Cancer Center, 701 Ilalo Street, Honolulu, Hawaii 96813, United States
| | - Ingrid Chern
- Department of Obstetrics and Gynecology, University of Hawaii, 1319 Punahou St Ste 824, Honolulu, Hawaii 96826, United States
| | - Lana X Garmire
- Department of Computational Medicine and Bioinformatics, North Campus Research Complex, University of Michigan, 1600 Huron Parkway, Ann Arbor, Michigan 48105, United States
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12
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Hu X, Li S, Cirillo PM, Krigbaum NY, Tran V, Jones DP, Cohn BA. Reprint of "Metabolome Wide Association Study of Serum Poly and Perfluoroalkyl Substances (PFASs) in Pregnancy and Early Postpartum". Reprod Toxicol 2020; 92:120-128. [PMID: 31923462 DOI: 10.1016/j.reprotox.2020.01.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Revised: 05/07/2019] [Accepted: 05/09/2019] [Indexed: 12/29/2022]
Abstract
High-resolution metabolomics (HRM) profiling of metabolic fingerprints can improve understanding of how poly and perfluoroalkyl substances (PFASs) induce metabolic alterations of in utero environment and impact fetal health. HRM profiling and quantification of PFASs were performed for 397 maternal perinatal serum samples collected from 1959-1967 in the Child Health and Development Studies (CHDS). We used Metabolome-Wide Association Studies (MWAS) and pathway enrichment analysis for metabolic associations with PFOS, its precursor EtFOSAA, and EtFOSAA-to-PFOS ratio. Distinct metabolic profiles were found with EtFOSAA and PFOS. Urea cycle metabolites such as arginine, lysine and creatine had opposite associations with EtFOSAA (negative) and PFOS (positive); whereas, carnitine shuttle metabolites were found to be exclusively and positively associated with PFOS indicating perturbation in fatty acid metabolism. These differential metabolic associations for precursor and end-product represent an important first step in identifying how PFASs alter the in utero environment and potentially leads to disease risk.
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Affiliation(s)
- Xin Hu
- Department of Medicine, School of Medicine, Emory University, Atlanta, GA 30303, USA
| | - Shuzhao Li
- Department of Medicine, School of Medicine, Emory University, Atlanta, GA 30303, USA
| | - Piera M Cirillo
- The Center for Research on Women and Children's Health, Child Health and Development Studies, Public Health Institute, 1683 Shattuck Avenue, Suite B, Berkeley, CA 94709, USA
| | - Nickilou Y Krigbaum
- The Center for Research on Women and Children's Health, Child Health and Development Studies, Public Health Institute, 1683 Shattuck Avenue, Suite B, Berkeley, CA 94709, USA
| | - ViLinh Tran
- Department of Medicine, School of Medicine, Emory University, Atlanta, GA 30303, USA
| | - Dean P Jones
- Department of Medicine, School of Medicine, Emory University, Atlanta, GA 30303, USA.
| | - Barbara A Cohn
- The Center for Research on Women and Children's Health, Child Health and Development Studies, Public Health Institute, 1683 Shattuck Avenue, Suite B, Berkeley, CA 94709, USA.
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13
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Furse S, White SL, Meek CL, Jenkins B, Petry CJ, Vieira MC, Ozanne SE, Dunger DB, Poston L, Koulman A. Altered triglyceride and phospholipid metabolism predates the diagnosis of gestational diabetes in obese pregnancy. Mol Omics 2019; 15:420-430. [PMID: 31599289 PMCID: PMC7100894 DOI: 10.1039/c9mo00117d] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Gestational diabetes (GDM), a common pregnancy complication associated with obesity and long-term health risks, is usually diagnosed at approximately 28 weeks of gestation. An understanding of lipid metabolism in women at risk of GDM could contribute to earlier diagnosis and treatment. We tested the hypothesis that altered lipid metabolism at the beginning of the second trimester in obese pregnant women is associated with a diagnosis of GDM. Plasma samples from 831 participants (16-45 years, 15-18 weeks gestation, BMI ≥ 30) from the UPBEAT study of obese pregnant women were used. The lipid, sterol and glyceride fraction was isolated and analysed in a semi-quantitative fashion using direct infusion mass spectrometry. A combination of uni-, multi-variate and multi-variable statistical analyses was used to identify candidate biomarkers in plasma associated with a diagnosis of GDM (early third trimester; IADPSG criteria). Multivariable adjusted analyses showed that participants who later developed GDM had a greater abundance of several triglycerides (48:0, 50:1, 50:2, 51:5, 53:4) and phosphatidylcholine (38:5). In contrast sphingomyelins (32:1, 41:2, 42:3), lyso-phosphatidylcholine (16:0, 18:1), phosphatidylcholines (35:2, 40:7, 40:10), two polyunsaturated triglycerides (46:5, 48:6) and several oxidised triglycerides (48:6, 54:4, 56:4, 58:6) were less abundant. We concluded that both lipid and triglyceride metabolism were altered at least 10 weeks before diagnosis of GDM. Further investigation is required to determine the functional consequences of these differences and the mechanisms by which they arise.
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Affiliation(s)
- Samuel Furse
- Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Box 289, Cambridge Biomedical Campus, Hills Road, Cambridge CB2 0QQ, UK.
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14
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Zbucka-Krętowska M, Łazarek U, Miltyk W, Sidorkiewicz I, Pierzyński P, Milewski R, Wołczyński S, Czerniecki J. Simultaneous analysis of bisphenol A fractions in maternal and fetal compartments in early second trimester of pregnancy. J Perinat Med 2019; 47:765-770. [PMID: 31348763 DOI: 10.1515/jpm-2019-0040] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Accepted: 07/07/2019] [Indexed: 02/05/2023]
Abstract
Background Bisphenol A (BPA) is an estrogenic, endocrine-disrupting compound widely used in the industry. It is also a ubiquitous environmental pollutant. Its presence was confirmed in human fetuses, which results from maternal exposure during pregnancy. The mechanisms behind maternal-fetal transfer, and relationships between pregnant women and fetal exposures remain unclear. The aim of this study was to assess the impact of maternal exposure to BPA on the exposure of the fetus. Methods Maternal plasma and amniotic fluid samples were collected from 52 pregnant women undergoing amniocentesis for prenatal diagnosis of chromosomal abnormalities. BPA was measured by gas chromatography-mass spectrometry (GC-MS). The permeability factor - a ratio of fetal-to-maternal BPA concentration - was used as a measure delineating the transplacental transfer of BPA. Results The median concentration of maternal plasma BPA was 8 times higher than the total BPA concentration in the amniotic fluid (8.69 ng/mL, range: 4.3 ng/mL-55.3 ng/mL vs. median 1.03 ng/mL, range: 0.3 ng/mL-10.1 ng/mL). There was no direct relationship between the levels of BPA in maternal plasma and amniotic fluid levels. The permeability factor, in turn, negatively correlated with fetal development (birth weight) (R = -0.54, P < 0.001). Conclusion Our results suggest that the risk of fetal BPA exposure depends on placental BPA permeability rather than the levels of maternal BPA plasma concentration and support general recommendations to become aware and avoid BPA-containing products.
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Affiliation(s)
- Monika Zbucka-Krętowska
- Department of Reproduction and Gynaecological Endocrinology, Medical University of Bialystok, Marii Sklodowskiej-Curie 24a, 15-276 Bialystok, Poland
| | - Urszula Łazarek
- Department of Pharmaceutical Analysis, Medical University of Bialystok, Mickiewicza 2D, 15-522 Bialystok, Poland
| | - Wojciech Miltyk
- Department of Pharmaceutical Analysis, Medical University of Bialystok, Mickiewicza 2D, 15-522 Bialystok, Poland
| | - Iwona Sidorkiewicz
- Clinical Research Centre, Medical University of Bialystok, Marii Sklodowskiej-Curie 24a, 15-276 Bialystok, Poland
| | - Piotr Pierzyński
- Department of Reproduction and Gynaecological Endocrinology, Medical University of Bialystok, Marii Sklodowskiej-Curie 24a, 15-276 Bialystok, Poland
| | - Robert Milewski
- Department of Statistics and Medical Informatics, Medical University of Bialystok, Szpitalna 37, 15-295 Bialystok, Poland
| | - Sławomir Wołczyński
- Department of Reproduction and Gynaecological Endocrinology, Medical University of Bialystok, Marii Sklodowskiej-Curie 24a, 15-276 Bialystok, Poland
| | - Jan Czerniecki
- Department of Biology and Pathology of Human Reproduction, Institute of Animal Reproduction and Food Research, Polish Academy of Science, Tuwima 10, 10-748 Olsztyn, Poland
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15
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Hu X, Li S, Cirillo PM, Krigbaum NY, Tran V, Jones DP, Cohn BA. Metabolome Wide Association Study of Serum Poly and Perfluoroalkyl Substances (PFASs) in Pregnancy and Early Postpartum. Reprod Toxicol 2019; 87:70-78. [PMID: 31121237 DOI: 10.1016/j.reprotox.2019.05.058] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Revised: 05/07/2019] [Accepted: 05/09/2019] [Indexed: 12/16/2022]
Abstract
High-resolution metabolomics (HRM) profiling of metabolic fingerprints can improve understanding of how poly and perfluoroalkyl substances (PFASs) induce metabolic alterations of in utero environment and impact fetal health. HRM profiling and quantification of PFASs were performed for 397 maternal perinatal serum samples collected from 1959-1967 in the Child Health and Development Studies (CHDS). We used Metabolome-Wide Association Studies (MWAS) and pathway enrichment analysis for metabolic associations with PFOS, its precursor EtFOSAA, and EtFOSAA-to-PFOS ratio. Distinct metabolic profiles were found with EtFOSAA and PFOS. Urea cycle metabolites such as arginine, lysine and creatine had opposite associations with EtFOSAA (negative) and PFOS (positive); whereas, carnitine shuttle metabolites were found to be exclusively and positively associated with PFOS indicating perturbation in fatty acid metabolism. These differential metabolic associations for precursor and end-product represent an important first step in identifying how PFASs alter the in utero environment and potentially leads to disease risk.
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Affiliation(s)
- Xin Hu
- Department of Medicine, School of Medicine, Emory University, Atlanta, GA 30303, USA
| | - Shuzhao Li
- Department of Medicine, School of Medicine, Emory University, Atlanta, GA 30303, USA
| | - Piera M Cirillo
- The Center for Research on Women and Children's Health, Child Health and Development Studies, Public Health Institute, 1683 Shattuck Avenue, Suite B, Berkeley, CA 94709, USA
| | - Nickilou Y Krigbaum
- The Center for Research on Women and Children's Health, Child Health and Development Studies, Public Health Institute, 1683 Shattuck Avenue, Suite B, Berkeley, CA 94709, USA
| | - ViLinh Tran
- Department of Medicine, School of Medicine, Emory University, Atlanta, GA 30303, USA
| | - Dean P Jones
- Department of Medicine, School of Medicine, Emory University, Atlanta, GA 30303, USA.
| | - Barbara A Cohn
- The Center for Research on Women and Children's Health, Child Health and Development Studies, Public Health Institute, 1683 Shattuck Avenue, Suite B, Berkeley, CA 94709, USA.
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16
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Gupta V, Saxena R, Walia GK, Agarwal T, Vats H, Dunn W, Relton C, Sovio U, Papageorghiou A, Davey Smith G, Khadgawat R, Sachdeva MP. Gestational route to healthy birth (GaRBH): protocol for an Indian prospective cohort study. BMJ Open 2019; 9:e025395. [PMID: 31048433 PMCID: PMC6501957 DOI: 10.1136/bmjopen-2018-025395] [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: 07/12/2018] [Revised: 10/17/2018] [Accepted: 03/12/2019] [Indexed: 11/13/2022] Open
Abstract
INTRODUCTION Pregnancy is characterised by a high rate of metabolic shifts from early to late phases of gestation in order to meet the raised physiological and metabolic needs. This change in levels of metabolites is influenced by gestational weight gain (GWG), which is an important characteristic of healthy pregnancy. Inadequate/excessive GWG has short-term and long-term implications on maternal and child health. Exploration of gestational metabolism is required for understanding the quantitative changes in metabolite levels during the course of pregnancy. Therefore, our aim is to study trimester-specific variation in levels of metabolites in relation to GWG and its influence on fetal growth and newborn anthropometric traits at birth. METHODS AND ANALYSIS A prospective longitudinal study is planned (start date: February 2018; end date: March 2023) on pregnant women that are being recruited in the first trimester and followed in subsequent trimesters and at the time of delivery (total 3 follow-ups). The study is being conducted in a hospital located in Bikaner district (66% rural population), Rajasthan, India. The estimated sample size is of 1000 mother-offspring pairs. Information on gynaecological and obstetric history, socioeconomic position, diet, physical activity, tobacco and alcohol consumption, depression, anthropometric measurements and blood samples is being collected for metabolic assays in each trimester using standardised methods. Mixed effects regression models will be used to assess the role of gestational weight in influencing metabolite levels in each trimester. The association of maternal levels of metabolites with fetal growth, offspring's weight and body composition at birth will be investigated using regression modelling. ETHICS AND DISSEMINATION The study has been approved by the ethics committees of the Department of Anthropology, University of Delhi and Sardar Patel Medical College, Rajasthan. We are taking written informed consent after discussing the various aspects of the study with the participants in the local language.
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Affiliation(s)
- Vipin Gupta
- Department of Anthropology, University of Delhi, Delhi, India
| | - Ruchi Saxena
- Department of Obstetrics and Gynaecology, Sardar Patel Medical College, Bikaner, Rajasthan, India
| | | | | | - Harsh Vats
- Department of Anthropology, University of Delhi, Delhi, India
| | - Warwick Dunn
- School of Biosciences, Phenome Centre Birmingham and Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
| | - Caroline Relton
- MRC Integrative Epidemiology Unit and Bristol Medical School, University of Bristol, Bristol, UK
| | - Ulla Sovio
- Obstetrics and Gyneacology, University of Cambridge, Cambridge, UK
| | - Aris Papageorghiou
- Nuffield Department of Women’s & Reproductive Health, University of Oxford, Oxford, United Kingdom
| | - George Davey Smith
- MRC Integrative Epidemiology Unit and Bristol Medical School, University of Bristol, Bristol, UK
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17
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Kadakia R, Nodzenski M, Talbot O, Kuang A, Bain JR, Muehlbauer MJ, Stevens RD, Ilkayeva OR, O'Neal SK, Lowe LP, Metzger BE, Newgard CB, Scholtens DM, Lowe WL. Maternal metabolites during pregnancy are associated with newborn outcomes and hyperinsulinaemia across ancestries. Diabetologia 2019; 62:473-484. [PMID: 30483859 PMCID: PMC6374187 DOI: 10.1007/s00125-018-4781-1] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Accepted: 10/26/2018] [Indexed: 12/30/2022]
Abstract
AIMS/HYPOTHESIS We aimed to determine the association of maternal metabolites with newborn adiposity and hyperinsulinaemia in a multi-ethnic cohort of mother-newborn dyads. METHODS Targeted and non-targeted metabolomics assays were performed on fasting and 1 h serum samples from a total of 1600 mothers in four ancestry groups (Northern European, Afro-Caribbean, Mexican American and Thai) who participated in the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) study, underwent an OGTT at ~28 weeks gestation and whose newborns had anthropometric measurements at birth. RESULTS In this observational study, meta-analyses demonstrated significant associations of maternal fasting and 1 h metabolites with birthweight, cord C-peptide and/or sum of skinfolds across ancestry groups. In particular, maternal fasting triacylglycerols were associated with newborn sum of skinfolds. At 1 h, several amino acids, fatty acids and lipid metabolites were associated with one or more newborn outcomes. Network analyses revealed clusters of fasting acylcarnitines, amino acids, lipids and fatty acid metabolites associated with cord C-peptide and sum of skinfolds, with the addition of branched-chain and aromatic amino acids at 1 h. CONCLUSIONS/INTERPRETATION The maternal metabolome during pregnancy is associated with newborn outcomes. Maternal levels of amino acids, acylcarnitines, lipids and fatty acids and their metabolites during pregnancy relate to fetal growth, adiposity and cord C-peptide, independent of maternal BMI and blood glucose levels.
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Affiliation(s)
- Rachel Kadakia
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
- Ann and Robert H. Lurie Children's Hospital of Chicago, 225 E Chicago Avenue, Box 54, Chicago, IL, 60611, USA.
| | - Michael Nodzenski
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Octavious Talbot
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Alan Kuang
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - James R Bain
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC, USA
- Duke Molecular Physiology Institute, Durham, NC, USA
- Duke University School of Medicine, Durham, NC, USA
| | - Michael J Muehlbauer
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC, USA
- Duke Molecular Physiology Institute, Durham, NC, USA
- Duke University School of Medicine, Durham, NC, USA
| | - Robert D Stevens
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC, USA
- Duke Molecular Physiology Institute, Durham, NC, USA
- Duke University School of Medicine, Durham, NC, USA
| | - Olga R Ilkayeva
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC, USA
- Duke Molecular Physiology Institute, Durham, NC, USA
- Duke University School of Medicine, Durham, NC, USA
| | - Sara K O'Neal
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC, USA
- Duke Molecular Physiology Institute, Durham, NC, USA
- Duke University School of Medicine, Durham, NC, USA
| | - Lynn P Lowe
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Boyd E Metzger
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Christopher B Newgard
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC, USA
- Duke Molecular Physiology Institute, Durham, NC, USA
- Duke University School of Medicine, Durham, NC, USA
| | | | - William L Lowe
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
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18
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Patro-Małysza J, Trojnar M, Kimber-Trojnar Ż, Mierzyński R, Bartosiewicz J, Oleszczuk J, Leszczyńska-Gorzelak B. FABP4 in Gestational Diabetes-Association between Mothers and Offspring. J Clin Med 2019; 8:jcm8030285. [PMID: 30818771 PMCID: PMC6462903 DOI: 10.3390/jcm8030285] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2018] [Revised: 02/18/2019] [Accepted: 02/22/2019] [Indexed: 12/16/2022] Open
Abstract
Fetuses exposed to gestational diabetes mellitus (GDM) have a higher risk of abnormal glucose homeostasis in later life. The molecular mechanisms of this phenomenon are still not fully understood. Fatty acid binding protein 4 (FABP4) appears to be one of the most probable candidates involved in the pathophysiology of GDM. The main aim of the study was to investigate whether umbilical cord serum FABP4 concentrations are altered in term neonates born to GDM mothers. Two groups of subjects were selected—28 healthy controls and 26 patients with GDM. FABP4, leptin, and ghrelin concentrations in the umbilical cord serum, maternal serum, and maternal urine were determined via an enzyme-linked immunosorbent assay. The umbilical cord serum FABP4 levels were higher in the GDM offspring and were directly associated with the maternal serum FABP4 and leptin levels, as well as the prepregnancy body mass index (BMI) and the BMI at and after delivery; however, they correlated negatively with birth weight and lipid parameters. In the multiple linear regression models, the umbilical cord serum FABP4 concentrations depended positively on the maternal serum FABP4 and negatively on the umbilical cord serum ghrelin levels and the high-density lipoprotein cholesterol. There are many maternal variables that can affect the level of FABP4 in the umbilical cord serum, thus, their evaluation requires further investigation.
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Affiliation(s)
- Jolanta Patro-Małysza
- Department of Obstetrics and Perinatology, Medical University of Lublin, 20-090 Lublin, Poland.
| | - Marcin Trojnar
- Department of Internal Medicine, Medical University of Lublin, 20-081 Lublin, Poland.
| | - Żaneta Kimber-Trojnar
- Department of Obstetrics and Perinatology, Medical University of Lublin, 20-090 Lublin, Poland.
| | - Radzisław Mierzyński
- Department of Obstetrics and Perinatology, Medical University of Lublin, 20-090 Lublin, Poland.
| | - Jacek Bartosiewicz
- Department of Obstetrics and Perinatology, Medical University of Lublin, 20-090 Lublin, Poland.
| | - Jan Oleszczuk
- Department of Obstetrics and Perinatology, Medical University of Lublin, 20-090 Lublin, Poland.
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19
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Tindula G, Lee D, Huen K, Bradman A, Eskenazi B, Holland N. Pregnancy lipidomic profiles and DNA methylation in newborns from the CHAMACOS cohort. ENVIRONMENTAL EPIGENETICS 2019; 5:dvz004. [PMID: 30956810 PMCID: PMC6444381 DOI: 10.1093/eep/dvz004] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Revised: 02/25/2019] [Accepted: 02/27/2019] [Indexed: 05/29/2023]
Abstract
Lipids play a role in many biological functions and the newly emerging field of lipidomics aims to characterize the varying classes of lipid molecules present in biological specimens. Animal models have shown associations between maternal dietary supplementation with fatty acids during pregnancy and epigenetic changes in their offspring, demonstrating a mechanism through which prenatal environment can affect outcomes in children; however, data on maternal lipid metabolite levels during pregnancy and newborn DNA methylation in humans are sparse. In this study, we assessed the relationship of maternal lipid metabolites measured in the blood from pregnant women with newborn DNA methylation profiles in the Center for the Health Assessment of Mothers and Children of Salinas cohort. Targeted metabolomics was performed by selected reaction monitoring liquid chromatography and triple quadrupole mass spectrometry to measure 92 metabolites in plasma samples of pregnant women at ∼26 weeks gestation. DNA methylation was assessed using the Infinium HumanMethylation 450K BeadChip adjusting for cord blood cell composition. We uncovered numerous false discovery rate significant associations between maternal metabolite levels, particularly phospholipid and lysolipid metabolites, and newborn methylation. The majority of the observed relationships were negative, suggesting that higher lipid metabolites during pregnancy are associated with lower methylation levels at genes related to fetal development. These results further elucidate the complex relationship between early life exposures, maternal lipid metabolites, and infant epigenetic status.
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Affiliation(s)
- Gwen Tindula
- School of Public Health, Center for Environmental Research and Children’s Health, University of California, Berkeley, Berkeley, CA, USA
| | | | - Karen Huen
- School of Public Health, Center for Environmental Research and Children’s Health, University of California, Berkeley, Berkeley, CA, USA
| | - Asa Bradman
- School of Public Health, Center for Environmental Research and Children’s Health, University of California, Berkeley, Berkeley, CA, USA
| | - Brenda Eskenazi
- School of Public Health, Center for Environmental Research and Children’s Health, University of California, Berkeley, Berkeley, CA, USA
| | - Nina Holland
- School of Public Health, Center for Environmental Research and Children’s Health, University of California, Berkeley, Berkeley, CA, USA
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20
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Parfieniuk E, Zbucka-Kretowska M, Ciborowski M, Kretowski A, Barbas C. Untargeted metabolomics: an overview of its usefulness and future potential in prenatal diagnosis. Expert Rev Proteomics 2018; 15:809-816. [PMID: 30239246 DOI: 10.1080/14789450.2018.1526678] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
INTRODUCTION Metabolomics opens up new avenues for biomarker discovery in different branches of medicine, including perinatology. Chromosomal aberration, preterm delivery (PTD), congenital heart defects, spina bifida, chorioamnionitis, and low birth weight are the main perinatal pathologies. Investigations using untargeted metabolomics have found the candidate metabolites for diagnostic biomarkers. Areas covered: This review describes areas of prenatal diagnosis in which untargeted metabolomics has been used. Data on the disease, type of sample, techniques used, number of samples used in the study, and metabolites obtained including the sign of their regulation are summarized. Expert commentary: Untargeted metabolomics is a powerful tool which can shed a new light on prenatal diagnostics. It helps to discover affected metabolic pathways what may help to reveal disease pathogenesis and propose potential biomarkers. Among others, glycerol and 2- and 3-hydroxybutyrate were proposed as markers of chromosomal aberration. Serum metabolic signature of PTD was characterized by increased lipids and decreased levels of hypoxanthine, tryptophane, and pyroglutamic acid. Lower level lipids and vitamin D3 metabolites together with increased bilirubin level in maternal serum were associated with macrosomia. However, to give a real value to those assays and allow their clinical application multicenter, large cohort validation studies are necessary.
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Affiliation(s)
- Ewa Parfieniuk
- a Clinical Research Centre , Medical University of Bialystok , Bialystok , Poland
| | - Monika Zbucka-Kretowska
- b Department of Reproduction and Gynaecological Endocrinology , Medical University of Bialystok , Bialystok , Poland
| | - Michal Ciborowski
- a Clinical Research Centre , Medical University of Bialystok , Bialystok , Poland
| | - Adam Kretowski
- a Clinical Research Centre , Medical University of Bialystok , Bialystok , Poland.,c Department of Endocrinology, Diabetology and Internal Medicine , Medical University of Bialystok , Bialystok , Poland
| | - Coral Barbas
- d Centre for Metabolomics and Bioanalysis (CEMBIO), Facultad de Farmacia , Universidad CEU San Pablo , Madrid , Spain
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21
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Zbucka-Kretowska M, Zbucki R, Parfieniuk E, Maslyk M, Lazarek U, Miltyk W, Czerniecki J, Wolczynski S, Kretowski A, Ciborowski M. Evaluation of Bisphenol A influence on endocannabinoid system in pregnant women. CHEMOSPHERE 2018; 203:387-392. [PMID: 29627605 DOI: 10.1016/j.chemosphere.2018.03.195] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/20/2018] [Revised: 03/29/2018] [Accepted: 03/29/2018] [Indexed: 06/08/2023]
Abstract
Bisphenol A (BPA) is a synthetic chemical widely used in the industry, which may potentially evoke negative effects on human health, especially on reproductive processes and fetal development. BPA has been reported to act on estrogen, estrogen-related, androgen, thyroid hormone, pregnane X, peroxisome proliferation-activated, and aryl hydrocarbon receptors. However, other potential mechanisms of BPA action on pregnancy cannot be excluded. Comprehensive evaluation of BPA effect on pregnant women can be performed by use of metabolomics. In the present study LC-MS-based plasma metabolomics was performed in the group of pregnant women with known concentrations of free, conjugated and total BPA. Significant positive correlations were observed between several endocannabinoids (fatty acid amides) and free (r = 0.307-0.557, p-value = 0.05-0.00002) and total (r = 0.413-0.519, p-value = 0.008-0.00006) BPA concentrations. Palmitoleamide was positively correlated with conjugated (r = 0.348, p-value = 0.05) while lysophosphatidylethanolamine 18:0 with free (r = 0.519, p-value = 0.00006) BPA concentration. The docking calculations of BPA and fatty acid amide hydrolase (enzyme degrading endocannabinoids, FAAH) indicated that it can act as a competitive inhibitor by blocking FAAH catalytic residues. In vitro study showed that BPA moderately inhibits FAAH activity (15% decrease for 200 ng mL-1 and almost 50% for 200 μg mL-1 of BPA). In the present study for the first time inhibitory potential of BPA on FAAH hydrolase is reported. Inhibition of FAAH may lead to a rise of plasma endocannabinoids level. BPA exposure and increased level of endocannabinoids are miscarriage risk factors. Based on obtained results it can be hypothesized that BPA may induce adverse pregnancy outcomes by acting on endocannabinoid system.
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Affiliation(s)
- Monika Zbucka-Kretowska
- Department of Reproduction and Gynaecological Endocrinology, Medical University of Bialystok, Marii Sklodowskiej-Curie 24a, 15-276 Bialystok, Poland
| | - Robert Zbucki
- 1st Clinical Department of General and Endocrine Surgery, Medical University of Bialystok, Marii Sklodowskiej-Curie 24a, 15-276 Bialystok, Poland
| | - Ewa Parfieniuk
- Clinical Research Centre, Medical University of Bialystok, M. Sklodowskiej-Curie 24a, 15-276 Bialystok, Poland
| | - Maciej Maslyk
- Department of Molecular Biology, Institute of Biotechnology, The John Paul II Catholic University of Lublin, Konstantynow 1i, 20-708 Lublin, Poland
| | - Urszula Lazarek
- Department of Pharmaceutical Analysis, Medical University of Bialystok, Mickiewicza 2D, 15-522 Bialystok, Poland
| | - Wojciech Miltyk
- Department of Pharmaceutical Analysis, Medical University of Bialystok, Mickiewicza 2D, 15-522 Bialystok, Poland
| | - Jan Czerniecki
- Department of Reproduction and Gynaecological Endocrinology, Medical University of Bialystok, Marii Sklodowskiej-Curie 24a, 15-276 Bialystok, Poland
| | - Slawomir Wolczynski
- Department of Reproduction and Gynaecological Endocrinology, Medical University of Bialystok, Marii Sklodowskiej-Curie 24a, 15-276 Bialystok, Poland
| | - Adam Kretowski
- 1st Clinical Department of General and Endocrine Surgery, Medical University of Bialystok, Marii Sklodowskiej-Curie 24a, 15-276 Bialystok, Poland
| | - Michal Ciborowski
- 1st Clinical Department of General and Endocrine Surgery, Medical University of Bialystok, Marii Sklodowskiej-Curie 24a, 15-276 Bialystok, Poland.
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22
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Zbucka-Kretowska M, Kuzmicki M, Telejko B, Goscik J, Ciborowski M, Lipinska D, Hryniewicka J, Citko A, Lawicki S, Wolczynski S. First-trimester irisin and fetuin-A concentration in predicting macrosomia. J Matern Fetal Neonatal Med 2018; 32:2868-2873. [PMID: 29562796 DOI: 10.1080/14767058.2018.1450859] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
Objective: We investigated the diagnostic value of first-trimester adipokines and placental markers in predicting macrosomia. Methods: Out of 328 women recruited during the prenatal diagnosis between 11th and 13th week of pregnancy and subjected to follow up until delivery, we selected 26 women who gave birth to macrosomic babies and 34 women who gave birth to normal weight neonates for the evaluation of first trimester serum levels of pregnancy associated plasma protein-A, free β-human chorionic gonadotropin, placental growth factor (PIGF), and selected adipokines. Results: The mothers of macrosomic infants had higher PIGF (p = .049) and irisin concentrations (p = .00003), and lower fetuin-A levels (p = .0002) than had the mothers of normal weight babies. Newborn's weight correlated positively with maternal irisin (R = 0.454, p = .0003) and negatively with fetuin-A concentrations (R = -0.497, p = .00005). Multiple regression analysis showed that only serum irisin concentration was a significant predictor of birth weight (β = 0.329, p = .03), explaining 14% of its variability. The sensitivity and the specificity of irisin concentration in predicting macrosomia were 0.769 and 0.794, respectively (AUC = 0.818 [95%CI: 0.708-0.928], p = .00001) with a proposed cut-off value of 1725.4 ng/ml. Conclusions: Our results suggest that mother's irisin may be an early biomarker of macrosomia.
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Affiliation(s)
- Monika Zbucka-Kretowska
- a Department of Reproduction and Gynecological Endocrinology , Medical University of Bialystok , Bialystok , Poland
| | - Mariusz Kuzmicki
- b Department of Gynaecology and Gynecological Oncology , Medical University of Bialystok , Bialystok , Poland
| | - Beata Telejko
- c Department of Endocrinology, Diabetology and Internal Medicine , Medical University of Bialystok , Bialystok , Poland
| | - Joanna Goscik
- d Department of Software Engineering, Faculty of Computer Science , University of Technology Bialystok , Bialystok , Poland
| | - Michal Ciborowski
- e Clinical Research Centre , Medical University of Bialystok , Bialystok , Poland
| | - Danuta Lipinska
- c Department of Endocrinology, Diabetology and Internal Medicine , Medical University of Bialystok , Bialystok , Poland
| | - Justyna Hryniewicka
- c Department of Endocrinology, Diabetology and Internal Medicine , Medical University of Bialystok , Bialystok , Poland
| | - Anna Citko
- e Clinical Research Centre , Medical University of Bialystok , Bialystok , Poland
| | - Slawomir Lawicki
- f Department of Biochemical Diagnostics , Medical University of Bialystok , Bialystok , Poland
| | - Slawomir Wolczynski
- a Department of Reproduction and Gynecological Endocrinology , Medical University of Bialystok , Bialystok , Poland
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23
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Zhao C, Xie P, Yong T, Wang H, Chung ACK, Cai Z. MALDI-MS Imaging Reveals Asymmetric Spatial Distribution of Lipid Metabolites from Bisphenol S-Induced Nephrotoxicity. Anal Chem 2018; 90:3196-3204. [PMID: 29430921 DOI: 10.1021/acs.analchem.7b04540] [Citation(s) in RCA: 61] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
With the continuous exposure of environmental pollutants in organisms, determination of abundance variation and spatial distribution of lipids might expand our understanding of toxicological mechanisms occurring in the kidney. Herein, an integrated method involving mass spectrometry (MS)-based lipidomics and matrix-assisted laser desorption/ionization-MS imaging (MALDI-MSI) was developed for the study of nephrotoxicity in mice exposed to 10 and 100 μg bisphenol S (BPS)/kg body weight/day. The BPS exposure remarkable perturbed abundances of 91 potential markers that mainly involved in five metabolic pathways. We elucidated the lipids spatial heterogeneity by using morphological analysis, probabilistic latent semantic analysis, and coregistered multimodal three-dimensional (3D)-MSI. In morphological analysis, both 10 and 100 μg BPS induced significant nephrotoxicity to mice, including glomerular necrosis in renal cortex, cloudy swelling in renal medulla, and interstitial collapsing in renal pelvis. Significant differential signaling lipids such as sphingomyelin (SM) (d22:0/20:4), ceramide (Cer) (d18:2/24:1), and sphingosine (d18:0) related to inflammation were found to be up-regulated and colocalized in the renal cortex, medulla, and pelvis, respectively. Also, seven significant differential lipids, which are considered to be involved in membrane homeostasis and cellular function, were found to be colocalized in the renal cortex. The observed significant variations of morphology, lipid accumulation, and metabolism in the renal cortex implicated that lipids in the renal cortex were more sensitive to BPS exposure than those in the renal medulla and pelvis. Moreover, we reconstructed a 3D-MSI model of kidney and identified two heterogeneous-related substructures in the renal cortex and pelvis upon 100 μg BPS exposure. It might be used in novel specificity evaluation and early diagnosis for environmental pollutant-induced kidney diseases.
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Affiliation(s)
- Chao Zhao
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry , Hong Kong Baptist University , Hong Kong SAR , P. R. China.,State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences , Chinese Academy of Sciences , Beijing 100085 , P. R. China
| | - Peisi Xie
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry , Hong Kong Baptist University , Hong Kong SAR , P. R. China
| | - Ting Yong
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry , Hong Kong Baptist University , Hong Kong SAR , P. R. China
| | - Hailin Wang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences , Chinese Academy of Sciences , Beijing 100085 , P. R. China
| | - Arthur Chi Kong Chung
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry , Hong Kong Baptist University , Hong Kong SAR , P. R. China
| | - Zongwei Cai
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry , Hong Kong Baptist University , Hong Kong SAR , P. R. China
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24
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Liu J, Liu G, Li Z. Importance of metabolomics analyses of maternal parameters and their influence on fetal growth. Exp Ther Med 2017; 14:467-472. [PMID: 28672954 PMCID: PMC5488388 DOI: 10.3892/etm.2017.4517] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2017] [Accepted: 05/18/2017] [Indexed: 12/19/2022] Open
Abstract
Metabolomics is the scientific study of chemical processes involving metabolites. Specifically, metabolomics is the systematic study of the unique chemical fingerprints that specifically conveys cell processes. Fetal growth aberrations, including fetal growth restriction and macrosomia, convey the highest risk of perinatal mortality and morbidity, as well as increasing the chance of developing chronic disease in later life. We searched the electronic database PubMed for preclinical as well as clinical controlled studies pertaining to metabolomics analyses of maternal parameters and their influence on fetal growth. It was observed clearly that metabolic profiling/metabolomics approaches in maternal urine samples provide information on early-life exposure and are potentially linked to child health outcomes, in addition to identifying new biomarkers of exposure. This review article is aimed to discuss intra- and inter-individual variations in maternal urine profiles during pregnancy, fetal growth outcomes and environmental sources of metabolic variations. The review concludes that metabolic profiling of mother is a useful tool for the evaluation of influences on the growth of the fetus.
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Affiliation(s)
- Jinfeng Liu
- Department of Neonatology, Xuzhou Children's Hospital, Xuzhou, Jiangsu 221002, P.R. China
| | - Gang Liu
- Department of Neonatology, Xuzhou Children's Hospital, Xuzhou, Jiangsu 221002, P.R. China
| | - Zhenguang Li
- Department of Neonatology, Xuzhou Children's Hospital, Xuzhou, Jiangsu 221002, P.R. China
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25
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Wei Y, Shi Q, Wang Z, Zhang R, Su L, Quamruzzaman Q, Rahman M, Chen F, Christiani DC. Maternal/fetal metabolomes appear to mediate the impact of arsenic exposure on birth weight: A pilot study. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2017; 27:313-319. [PMID: 27966664 PMCID: PMC5972365 DOI: 10.1038/jes.2016.74] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2016] [Revised: 09/30/2016] [Accepted: 10/04/2016] [Indexed: 05/19/2023]
Abstract
Arsenic exposure has been associated with low birth weight. However, the underlying mechanisms are not well understood. Alterations to metabolites may act as causal mediators of the effect of arsenic exposure on low birth weight. This pilot study aimed to explore the role of metabolites in mediating the association of arsenic exposure on infant birth weight. Study samples were selected from a well-established prospectively enrolled cohort in Bangladesh comprising 35 newborns and a subset of 20 matched mothers. Metabolomics profiling was performed on 35 cord blood samples and 20 maternal peripheral blood samples collected during the second trimester of pregnancy. Inorganic arsenic (iAs) exposure was evaluated via cord blood samples and maternal toenail samples collected during the first trimester. Multiple linear regression and mediation analyses were used to explore the relationship between iAs exposure, metabolite alterations, and low birth weight. Cord blood arsenic level was correlated with elevated levels of 17-methylstearate, laurate (12:0) and 4-vinylphenol sulfate along with lower birth weight. Prenatal maternal toenail iAs level was associated with two peripheral blood metabolites (butyrylqlycine and tartarate), which likely contributed to higher cord blood iAs levels both independently and interactively. Findings of this pilot study indicate that both intrauterine and maternal peripheral blood metabolites appear to influence the toxic effect of inorganic arsenic exposure on low birth weight.
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Affiliation(s)
- Yongyue Wei
- Department of Biostatistics, Ministry of Education Key Laboratory for Modern Toxicology, School of Public Health, Nanjing Medical University, Nanjing, China
- Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA
- Joint Laboratory of Health and Environmental Risk Assessment (HERA), Nanjing Medical University School of Public Health/Harvard School of Public Health, Nanjing, China
| | - Qianwen Shi
- Department of Biostatistics, Ministry of Education Key Laboratory for Modern Toxicology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Zhaoxi Wang
- Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA
| | - Ruyang Zhang
- Department of Biostatistics, Ministry of Education Key Laboratory for Modern Toxicology, School of Public Health, Nanjing Medical University, Nanjing, China
- Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA
- Joint Laboratory of Health and Environmental Risk Assessment (HERA), Nanjing Medical University School of Public Health/Harvard School of Public Health, Nanjing, China
| | - Li Su
- Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA
| | | | | | - Feng Chen
- Department of Biostatistics, Ministry of Education Key Laboratory for Modern Toxicology, School of Public Health, Nanjing Medical University, Nanjing, China
- Joint Laboratory of Health and Environmental Risk Assessment (HERA), Nanjing Medical University School of Public Health/Harvard School of Public Health, Nanjing, China
| | - David C. Christiani
- Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA
- Joint Laboratory of Health and Environmental Risk Assessment (HERA), Nanjing Medical University School of Public Health/Harvard School of Public Health, Nanjing, China
- Department of Medicine, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA
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26
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Abstract
Type 2 diabetes (T2D) is increasing worldwide, making identification of biomarkers for detection, staging, and effective prevention strategies an especially critical scientific and medical goal. Fortunately, advances in metabolomics techniques, together with improvements in bioinformatics and mathematical modeling approaches, have provided the scientific community with new tools to describe the T2D metabolome. The metabolomics signatures associated with T2D and obesity include increased levels of lactate, glycolytic intermediates, branched-chain and aromatic amino acids, and long-chain fatty acids. Conversely, tricarboxylic acid cycle intermediates, betaine, and other metabolites decrease. Future studies will be required to fully integrate these and other findings into our understanding of diabetes pathophysiology and to identify biomarkers of disease risk, stage, and responsiveness to specific treatments.
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27
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Godzien J, Ciborowski M, Armitage EG, Jorge I, Camafeita E, Burillo E, Martín-Ventura JL, Rupérez FJ, Vázquez J, Barbas C. A Single In-Vial Dual Extraction Strategy for the Simultaneous Lipidomics and Proteomics Analysis of HDL and LDL Fractions. J Proteome Res 2016; 15:1762-75. [DOI: 10.1021/acs.jproteome.5b00898] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Joanna Godzien
- CEMBIO,
Centre for Metabolomics and Bioanalysis, San Pablo CEU University, Madrid 28003, Spain
| | - Michal Ciborowski
- Clinical
Research Centre, Medical University of Bialystok, Bialystok 12-089, Poland
| | - Emily Grace Armitage
- CEMBIO,
Centre for Metabolomics and Bioanalysis, San Pablo CEU University, Madrid 28003, Spain
| | - Inmaculada Jorge
- Cardiovascular
Proteomics Laboratory, Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), 28029 Madrid, Spain
| | - Emilio Camafeita
- Cardiovascular
Proteomics Laboratory, Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), 28029 Madrid, Spain
| | - Elena Burillo
- Vascular
Research Laboratory, IIS-Fundación Jiménez Díaz-Autonoma University, 28040 Madrid, Spain
| | - Jose Luis Martín-Ventura
- Vascular
Research Laboratory, IIS-Fundación Jiménez Díaz-Autonoma University, 28040 Madrid, Spain
| | - Francisco J. Rupérez
- CEMBIO,
Centre for Metabolomics and Bioanalysis, San Pablo CEU University, Madrid 28003, Spain
| | - Jesús Vázquez
- Cardiovascular
Proteomics Laboratory, Centro Nacional de Investigaciones Cardiovasculares Carlos III (CNIC), 28029 Madrid, Spain
| | - Coral Barbas
- CEMBIO,
Centre for Metabolomics and Bioanalysis, San Pablo CEU University, Madrid 28003, Spain
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28
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Orczyk-Pawilowicz M, Jawien E, Deja S, Hirnle L, Zabek A, Mlynarz P. Metabolomics of Human Amniotic Fluid and Maternal Plasma during Normal Pregnancy. PLoS One 2016; 11:e0152740. [PMID: 27070784 PMCID: PMC4829258 DOI: 10.1371/journal.pone.0152740] [Citation(s) in RCA: 75] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2015] [Accepted: 03/18/2016] [Indexed: 02/01/2023] Open
Abstract
Metabolic profiles of amniotic fluid and maternal blood are sources of valuable information about fetus development and can be potentially useful in diagnosis of pregnancy disorders. In this study, we applied 1H NMR-based metabolic profiling to track metabolic changes occurring in amniotic fluid (AF) and plasma (PL) of healthy mothers over the course of pregnancy. AF and PL samples were collected in the 2nd (T2) and 3rd (T3) trimester, prolonged pregnancy (PP) until time of delivery (TD). A multivariate data analysis of both biofluids reviled a metabolic switch-like transition between 2nd and 3rd trimester, which was followed by metabolic stabilization throughout the rest of pregnancy probably reflecting the stabilization of fetal maturation and development. The differences were further tested using univariate statistics at α = 0.001. In plasma the progression from T2 to T3 was related to increasing levels of glycerol, choline and ketone bodies (3-hydroxybutyrate and acetoacetate) while pyruvate concentration was significantly decreased. In amniotic fluid, T2 to T3 transition was associated with decreasing levels of glucose, carnitine, amino acids (valine, leucine, isoleucine, alanine, methionine, tyrosine, and phenylalanine) and increasing levels of creatinine, succinate, pyruvate, choline, N,N-dimethylglycine and urocanate. Lactate to pyruvate ratio was decreased in AF and conversely increased in PL. The results of our study, show that metabolomics profiling can be used to better understand physiological changes of the complex interdependencies of the mother, the placenta and the fetus during pregnancy. In the future, these results might be a useful reference point for analysis of complicated pregnancies.
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Affiliation(s)
| | - Ewa Jawien
- Department of Chemistry, Wroclaw University of Technology, Wroclaw, Poland
| | | | - Lidia Hirnle
- 1 Department and Clinic of Gynaecology and Obstetrics, Wroclaw Medical University, Wrocław, Poland
| | - Adam Zabek
- Department of Chemistry, Wroclaw University of Technology, Wroclaw, Poland
| | - Piotr Mlynarz
- Department of Chemistry, Wroclaw University of Technology, Wroclaw, Poland
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29
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Godzien J, Ciborowski M, Martínez-Alcázar MP, Samczuk P, Kretowski A, Barbas C. Rapid and Reliable Identification of Phospholipids for Untargeted Metabolomics with LC-ESI-QTOF-MS/MS. J Proteome Res 2015; 14:3204-16. [PMID: 26080858 DOI: 10.1021/acs.jproteome.5b00169] [Citation(s) in RCA: 82] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Lipids are important components of biological systems, and their role can be currently investigated by the application of untargeted, holistic approaches such as metabolomics and lipidomics. Acquired data are analyzed to find significant signals responsible for the differentiation between the investigated conditions. Subsequently, identification has to be performed to bring biological meaning to the obtained results. Lipid identification seems to be relatively easy due to the known characteristic fragments; however, the large number of structural isomers and the formation of different adducts makes it challenging and at risk of misidentification. The inspection of data, acquired for plasma samples by a standard metabolic fingerprinting method, revealed multisignal formations for phosphatidylcholines, phosphatidylethanolamines, and sphingomyelins by the formation of ions such as [M + H](+), [M + Na](+), and [M + K](+) in positive ionization mode and [M - H](-), [M + HCOO](-), and [M + Cl](-) in negative mode. Moreover, sodium formate cluster formation was found for [M + H·HCOONa](+) and [H-H·HCOONa](-). The MS/MS spectrum obtained for each of the multi-ions revealed significant differences in the fragmentation, which were confirmed by the analysis of the samples in two independent research centers. After the inspection of an acquired spectra, a list of characteristic and diagnostic fragments was proposed that allowed for easy, quick, and robust lipid identification that provides information about the headgroup, formed adduct, and fatty acyl composition. This ensures successful identification, which is of great importance for the contextualization of data and results validation.
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Affiliation(s)
- Joanna Godzien
- †CEMBIO, Centre for Metabolomics and Bioanalysis, San Pablo CEU University, 28668 Boadilla del Monte, Spain
| | - Michal Ciborowski
- ‡Clinical Research Centre, Medical University of Bialystok, 15-089 Białystok, Poland
| | - María Paz Martínez-Alcázar
- †CEMBIO, Centre for Metabolomics and Bioanalysis, San Pablo CEU University, 28668 Boadilla del Monte, Spain
| | - Paulina Samczuk
- ‡Clinical Research Centre, Medical University of Bialystok, 15-089 Białystok, Poland
| | - Adam Kretowski
- ‡Clinical Research Centre, Medical University of Bialystok, 15-089 Białystok, Poland
| | - Coral Barbas
- †CEMBIO, Centre for Metabolomics and Bioanalysis, San Pablo CEU University, 28668 Boadilla del Monte, Spain
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