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Idler J, Turkoglu O, Yilmaz A, Ashrafi N, Szymanska M, Ustun I, Patek K, Whitten A, Graham SF, Bahado-Singh RO. Metabolomic prediction of severe maternal and newborn complications in preeclampsia. Metabolomics 2024; 20:56. [PMID: 38762675 PMCID: PMC11102370 DOI: 10.1007/s11306-024-02123-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 04/30/2024] [Indexed: 05/20/2024]
Abstract
INTRODUCTION Preeclampsia (PreE) remains a major source of maternal and newborn complications. Prenatal prediction of these complications could significantly improve pregnancy management. OBJECTIVES Using metabolomic analysis we investigated the prenatal prediction of maternal and newborn complications in early and late PreE and investigated the pathogenesis of such complications. METHODS Serum samples from 76 cases of PreE (36 early-onset and 40 late-onset), and 40 unaffected controls were collected. Direct Injection Liquid Chromatography-Mass Spectrometry combined with Nuclear Magnetic Resonance (NMR) spectroscopy was performed. Logistic regression analysis was used to generate models for prediction of adverse maternal and neonatal outcomes in patients with PreE. Metabolite set enrichment analysis (MSEA) was used to identify the most dysregulated metabolites and pathways in PreE. RESULTS Forty-three metabolites were significantly altered (p < 0.05) in PreE cases with maternal complications and 162 metabolites were altered in PreE cases with newborn adverse outcomes. The top metabolite prediction model achieved an area under the receiver operating characteristic curve (AUC) = 0.806 (0.660-0.952) for predicting adverse maternal outcomes in early-onset PreE, while the AUC for late-onset PreE was 0.843 (0.712-0.974). For the prediction of adverse newborn outcomes, regression models achieved an AUC = 0.828 (0.674-0.982) in early-onset PreE and 0.911 (0.828-0.994) in late-onset PreE. Profound alterations of lipid metabolism were associated with adverse outcomes. CONCLUSION Prenatal metabolomic markers achieved robust prediction, superior to conventional markers for the prediction of adverse maternal and newborn outcomes in patients with PreE. We report for the first-time the prediction and metabolomic basis of adverse maternal and newborn outcomes in patients with PreE.
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Affiliation(s)
- Jay Idler
- Drexel College of Medicine, Philadelphia, PA, USA.
- Department of Obstetrics and Gynecology, Allegheny Health Network, 4815 Liberty Ave., Pittsburgh, PA, 15224, USA.
| | - Onur Turkoglu
- Department of Obstetrics and Gynecology, Beaumont Health System, Royal Oak, MI, USA
| | - Ali Yilmaz
- Oakland University School of Medicine, Rochester, MI, USA
| | - Nadia Ashrafi
- Oakland University School of Medicine, Rochester, MI, USA
| | - Marta Szymanska
- Department of Obstetrics and Gynecology, Wayne State University-Detroit Medical Center, Detroit, MI, USA
| | | | - Kara Patek
- Department of Obstetrics and Gynecology, Wayne State University-Detroit Medical Center, Detroit, MI, USA
| | - Amy Whitten
- Department of Obstetrics and Gynecology, Beaumont Health System, Royal Oak, MI, USA
- Oakland University School of Medicine, Rochester, MI, USA
| | | | - Ray O Bahado-Singh
- Department of Obstetrics and Gynecology, Beaumont Health System, Royal Oak, MI, USA
- Oakland University School of Medicine, Rochester, MI, USA
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Chen Y, He B, Liu Y, Aung MT, Rosario-Pabón Z, Vélez-Vega CM, Alshawabkeh A, Cordero JF, Meeker JD, Garmire LX. Maternal plasma lipids are involved in the pathogenesis of preterm birth. Gigascience 2022; 11:6528776. [PMID: 35166340 PMCID: PMC8847704 DOI: 10.1093/gigascience/giac004] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 11/20/2021] [Accepted: 01/12/2022] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Preterm birth is defined by the onset of labor at a gestational age shorter than 37 weeks, and it can lead to premature birth and impose a threat to newborns' health. The Puerto Rico PROTECT cohort is a well-characterized prospective birth cohort that was designed to investigate environmental and social contributors to preterm birth in Puerto Rico, where preterm birth rates have been elevated in recent decades. To elucidate possible relationships between metabolites and preterm birth in this cohort, we conducted a nested case-control study to conduct untargeted metabolomic characterization of maternal plasma of 31 women who experienced preterm birth and 69 controls who underwent full-term labor at 24-28 gestational weeks. RESULTS A total of 333 metabolites were identified and annotated with liquid chromatography/mass spectrometry. Subsequent weighted gene correlation network analysis shows that the fatty acid and carene-enriched module has a significant positive association (P = 8e-04, FDR = 0.006) with preterm birth. After controlling for potential clinical confounders, a total of 38 metabolites demonstrated significant changes uniquely associated with preterm birth, where 17 of them were preterm biomarkers. Among 7 machine-learning classifiers, the application of random forest achieved a highly accurate and specific prediction (AUC = 0.92) for preterm birth in testing data, demonstrating their strong potential as biomarkers for preterm births. The 17 preterm biomarkers are involved in cell signaling, lipid metabolism, and lipid peroxidation functions. Additional modeling using only the 19 spontaneous preterm births (sPTB) and controls identifies 16 sPTB markers, with an AUC of 0.89 in testing data. Half of the sPTB overlap with those markers for preterm births. Further causality analysis infers that suberic acid upregulates several fatty acids to promote preterm birth. CONCLUSIONS Altogether, this study demonstrates the involvement of lipids, particularly fatty acids, in the pathogenesis of preterm birth.
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Affiliation(s)
- Yile Chen
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48105, USA
| | - Bing He
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48105, USA
| | - Yu Liu
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48105, USA
| | - Max T Aung
- Program on Reproductive Health and the Environment, Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, School of Medicine, San Francisco, CA 94158, USA
| | - Zaira Rosario-Pabón
- University of Puerto Rico Graduate School of Public Health, UPR Medical Sciences Campus, San Juan, Puerto Rico 365067, Spain
| | - Carmen M Vélez-Vega
- University of Puerto Rico Graduate School of Public Health, UPR Medical Sciences Campus, San Juan, Puerto Rico 365067, Spain
| | - Akram Alshawabkeh
- College of Engineering, Northeastern University, Boston, MA 02115, USA
| | - José F Cordero
- Department of Epidemiology and Biostatistics, University of Georgia, Athens, GA 30602, USA
| | - John D Meeker
- Department of Environmental and Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Lana X Garmire
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48105, USA
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Martín-Sierra C, Colombo S, Martins R, Laranjeira P, Melo T, Abrantes AM, Oliveira RC, Tralhão JG, Botelho MF, Furtado E, Domingues P, Domingues MR, Paiva A. Tumor Resection Induces Alterations on Serum Phospholipidome of Liver Cancer Patients. Lipids 2020; 55:185-191. [PMID: 32045496 DOI: 10.1002/lipd.12221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 01/22/2020] [Accepted: 01/22/2020] [Indexed: 11/09/2022]
Abstract
Hepatocellular carcinoma and cholangiocarcinoma are the most common primary malignant liver tumors. Since the liver plays a key role in lipid metabolism, the study of serum phospholipid (PL) profiles may provide a better understanding of alterations in hepatic lipid metabolism. In this study, we used a high-resolution HILIC-LC-MS lipidomic approach to establish the serum phospholipidome profile of patients with liver cancer before (T0) and after tumor resection (T1) and a control group (CT) of healthy individuals. After the analysis of PL profiles, we observed that the phospholipidome of patients with liver cancer was significantly modified after the tumor resection procedure. We observed an upregulation of some phosphatidylcholine (PtdCho) species, namely, PtdCho(36:6), PtdCho(42:6), PtdCho(38:5), PtdCho(36:5), PtdCho(38:6) and choline plasmalogens (PlsCho), and/or 1-O-alkyl-2-acyl-glycerophosphocholine (PakCho) in patients with liver cancer at T0 compared to the CT group, and a downregulation after tumor resection (T1) when compared to T0. These results show that LC-MS can detect different serum PL profiles in patients with liver cancer, before and after tumor resection, by defining a specific PL fingerprint that was used to determine the effect of tumor and tumor resection on lipid metabolism.
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Affiliation(s)
- Carmen Martín-Sierra
- Unidade de Gestão Operacional em Citometria, Centro Hospitalar e Universitário de Coimbra (CHUC), Coimbra, Portugal.,Faculty of Medicine, Coimbra Institute for Clinical and Biomedical Research (iCBR), University of Coimbra, Coimbra, Portugal.,CNC.IBILI, University of Coimbra, Coimbra, Portugal.,Center for Innovative Biomedicine and Biotechnology, University of Coimbra, Coimbra, Portugal
| | - Simone Colombo
- Mass Spectrometry Centre, Department of Chemistry & LAQV, University of Aveiro, Aveiro, Portugal
| | - Ricardo Martins
- Faculty of Medicine, Coimbra Institute for Clinical and Biomedical Research (iCBR), University of Coimbra, Coimbra, Portugal.,Unidade Transplantação Hepática Pediátrica e de Adultos, Centro Hospitalar e Universitário de Coimbra (UTHPA, CHUC), Coimbra, Portugal.,Serviço de Cirurgia A, Centro Hospitalar e Universitário de Coimbra (CHUC), Coimbra, Portugal.,Instituto de Biofísica, IBILI, Faculdade de Medicina, Universidade de Coimbra, Coimbra, Portugal
| | - Paula Laranjeira
- Unidade de Gestão Operacional em Citometria, Centro Hospitalar e Universitário de Coimbra (CHUC), Coimbra, Portugal.,Faculty of Medicine, Coimbra Institute for Clinical and Biomedical Research (iCBR), University of Coimbra, Coimbra, Portugal.,CNC.IBILI, University of Coimbra, Coimbra, Portugal.,Center for Innovative Biomedicine and Biotechnology, University of Coimbra, Coimbra, Portugal
| | - Tânia Melo
- Mass Spectrometry Centre, Department of Chemistry & LAQV, University of Aveiro, Aveiro, Portugal.,Departamento de Química & CESAM& ECOMARE, Universidade de Aveiro, Aveiro, Portugal
| | - Ana Margarida Abrantes
- Faculty of Medicine, Coimbra Institute for Clinical and Biomedical Research (iCBR), University of Coimbra, Coimbra, Portugal.,Unidade Transplantação Hepática Pediátrica e de Adultos, Centro Hospitalar e Universitário de Coimbra (UTHPA, CHUC), Coimbra, Portugal
| | - Rui Caetano Oliveira
- Faculty of Medicine, Coimbra Institute for Clinical and Biomedical Research (iCBR), University of Coimbra, Coimbra, Portugal.,Instituto de Biofísica, IBILI, Faculdade de Medicina, Universidade de Coimbra, Coimbra, Portugal.,Serviço de Anatomia Patológica, Centro Hospitalar e Universitário de Coimbra (CHUC), Coimbra, Portugal
| | - José Guilherme Tralhão
- Faculty of Medicine, Coimbra Institute for Clinical and Biomedical Research (iCBR), University of Coimbra, Coimbra, Portugal.,Unidade Transplantação Hepática Pediátrica e de Adultos, Centro Hospitalar e Universitário de Coimbra (UTHPA, CHUC), Coimbra, Portugal.,Serviço de Cirurgia A, Centro Hospitalar e Universitário de Coimbra (CHUC), Coimbra, Portugal.,Instituto de Biofísica, IBILI, Faculdade de Medicina, Universidade de Coimbra, Coimbra, Portugal
| | - Maria Filomena Botelho
- Faculty of Medicine, Coimbra Institute for Clinical and Biomedical Research (iCBR), University of Coimbra, Coimbra, Portugal.,Instituto de Biofísica, IBILI, Faculdade de Medicina, Universidade de Coimbra, Coimbra, Portugal
| | - Emanuel Furtado
- Unidade Transplantação Hepática Pediátrica e de Adultos, Centro Hospitalar e Universitário de Coimbra (UTHPA, CHUC), Coimbra, Portugal
| | - Pedro Domingues
- Mass Spectrometry Centre, Department of Chemistry & LAQV, University of Aveiro, Aveiro, Portugal
| | - M Rosario Domingues
- Mass Spectrometry Centre, Department of Chemistry & LAQV, University of Aveiro, Aveiro, Portugal.,Departamento de Química & CESAM& ECOMARE, Universidade de Aveiro, Aveiro, Portugal
| | - Artur Paiva
- Unidade de Gestão Operacional em Citometria, Centro Hospitalar e Universitário de Coimbra (CHUC), Coimbra, Portugal.,Faculty of Medicine, Coimbra Institute for Clinical and Biomedical Research (iCBR), University of Coimbra, Coimbra, Portugal.,CNC.IBILI, University of Coimbra, Coimbra, Portugal.,Center for Innovative Biomedicine and Biotechnology, University of Coimbra, Coimbra, Portugal.,Ciências Biomédicas Laboratoriais, ESTESC-Coimbra Health School, Instituto Politécnico de Coimbra, Coimbra, Portugal
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4
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Troisi J, Cavallo P, Colucci A, Pierri L, Scala G, Symes S, Jones C, Richards S. Metabolomics in genetic testing. Adv Clin Chem 2019; 94:85-153. [PMID: 31952575 DOI: 10.1016/bs.acc.2019.07.009] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Metabolomics is an intriguing field of study providing a new readout of the biochemical activities taking place at the moment of sampling within a subject's biofluid or tissue. Metabolite concentrations are influenced by several factors including disease, environment, drugs, diet and, importantly, genetics. Metabolomics signatures, which describe a subject's phenotype, are useful for disease diagnosis and prognosis, as well as for predicting and monitoring the effectiveness of treatments. Metabolomics is conventionally divided into targeted (i.e., the quantitative analysis of a predetermined group of metabolites) and untargeted studies (i.e., analysis of the complete set of small-molecule metabolites contained in a biofluid without a pre-imposed metabolites-selection). Both approaches have demonstrated high value in the investigation and understanding of several monogenic and multigenic conditions. Due to low costs per sample and relatively short analysis times, metabolomics can be a useful and robust complement to genetic sequencing.
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Affiliation(s)
- Jacopo Troisi
- Department of Medicine, Surgery and Dentistry, "Scuola Medica Salernitana", University of Salerno, Baronissi, Italy; Theoreo srl, Montecorvino Pugliano, Italy; European Biomedical Research Institute of Salerno (EBRIS), Salerno, Italy.
| | - Pierpaolo Cavallo
- Department of Physics, University of Salerno, Fisciano, Italy; Istituto Sistemi Complessi del Consiglio Nazionale delle Ricerche (ISC-CNR), Roma, Italy
| | - Angelo Colucci
- Department of Medicine, Surgery and Dentistry, "Scuola Medica Salernitana", University of Salerno, Baronissi, Italy
| | - Luca Pierri
- Department of Translational Medical Sciences, Section of Pediatrics, University of Naples Federico II, Naples, Italy
| | | | - Steven Symes
- Department of Chemistry and Physics, University of Tennessee at Chattanooga, Chattanooga, TN, United States; Department of Obstetrics and Gynecology, University of Tennessee College of Medicine, Chattanooga, TN, United States
| | - Carter Jones
- Department of Biology, Geology and Environmental Sciences, University of Tennessee at Chattanooga, Chattanooga, TN, United States
| | - Sean Richards
- Department of Obstetrics and Gynecology, University of Tennessee College of Medicine, Chattanooga, TN, United States; Department of Biology, Geology and Environmental Sciences, University of Tennessee at Chattanooga, Chattanooga, TN, United States
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5
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Anjos S, Feiteira E, Cerveira F, Melo T, Reboredo A, Colombo S, Dantas R, Costa E, Moreira A, Santos S, Campos A, Ferreira R, Domingues P, Domingues MRM. Lipidomics Reveals Similar Changes in Serum Phospholipid Signatures of Overweight and Obese Pediatric Subjects. J Proteome Res 2019; 18:3174-3183. [DOI: 10.1021/acs.jproteome.9b00249] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Affiliation(s)
- Sara Anjos
- Mass Spectrometry Centre, Department of Chemistry and QOPNA, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
| | - Eva Feiteira
- Mass Spectrometry Centre, Department of Chemistry and QOPNA, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
| | | | - Tânia Melo
- Mass Spectrometry Centre, Department of Chemistry and QOPNA, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
- Department of Chemistry and CESAM and ECOMARE, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
| | - Andrea Reboredo
- Clinical Pathology, Centro Hospitalar do Baixo Vouga, Aveiro, Portugal
| | - Simone Colombo
- Mass Spectrometry Centre, Department of Chemistry and QOPNA, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
| | - Rosa Dantas
- Endocrinology, Diabetes and Nutrition, Centro Hospitalar do Baixo Vouga, Aveiro, Portugal
| | - Elisabete Costa
- Mass Spectrometry Centre, Department of Chemistry and QOPNA, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
| | - Ana Moreira
- Mass Spectrometry Centre, Department of Chemistry and QOPNA, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
| | - Sónia Santos
- Department of Chemistry and CICECO, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
| | - Ana Campos
- Mass Spectrometry Centre, Department of Chemistry and QOPNA, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
| | - Rita Ferreira
- Mass Spectrometry Centre, Department of Chemistry and QOPNA, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
| | - Pedro Domingues
- Mass Spectrometry Centre, Department of Chemistry and QOPNA, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
| | - M. Rosário M. Domingues
- Mass Spectrometry Centre, Department of Chemistry and QOPNA, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
- Department of Chemistry and CESAM and ECOMARE, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
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6
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Second trimester inflammatory and metabolic markers in women delivering preterm with and without preeclampsia. J Perinatol 2019; 39:314-320. [PMID: 30518800 PMCID: PMC6760589 DOI: 10.1038/s41372-018-0275-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Revised: 09/28/2018] [Accepted: 10/18/2018] [Indexed: 01/23/2023]
Abstract
OBJECTIVE Inflammatory and metabolic pathways are implicated in preterm birth and preeclampsia. However, studies rarely compare second trimester inflammatory and metabolic markers between women who deliver preterm with and without preeclampsia. STUDY DESIGN A sample of 129 women (43 with preeclampsia) with preterm delivery was obtained from an existing population-based birth cohort. Banked second trimester serum samples were assayed for 267 inflammatory and metabolic markers. Backwards-stepwise logistic regression models were used to calculate odds ratios. RESULTS Higher 5-α-pregnan-3β,20α-diol disulfate, and lower 1-linoleoylglycerophosphoethanolamine and octadecanedioate, predicted increased odds of preeclampsia. CONCLUSIONS Among women with preterm births, those who developed preeclampsia differed with respect metabolic markers. These findings point to potential etiologic underpinnings for preeclampsia as a precursor to preterm birth.
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7
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Abstract
This article presents an account of the research carried out so far in the use of metabolomics to find biomarkers of preterm birth (PTB) in fetal, maternal, and newborn biofluids. Metabolomic studies have employed mainly nuclear magnetic resonance spectroscopy or mass spectrometry-based methodologies to analyze, on one hand, prenatal biofluids (amniotic fluid, maternal urine/maternal blood, cervicovaginal fluid) to identify predictive biomarkers of PTB, and on the other hand, biofluids collected at or after birth (amniotic fluid, umbilical cord blood, newborn urine, and newborn blood, maternal blood, or breast milk) to assess and follow up the health status of PTB babies. Besides advancing on the biochemical knowledge of PTB metabolism mainly during the in utero period and at birth, the work carried out has also helped to identify important requirements related to experimental design and analytical protocol that need to be addressed, if translation of these biomarkers to the clinic is to be envisaged. An outlook of possible future developments for the translation of laboratory results to the clinic is presented.
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Affiliation(s)
- Ana M Gil
- 1 Department of Chemistry, CICECO-Aveiro Institute of Materials, University of Aveiro, Aveiro, Portugal
| | - Daniela Duarte
- 1 Department of Chemistry, CICECO-Aveiro Institute of Materials, University of Aveiro, Aveiro, Portugal
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8
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Kelly RS, Giorgio RT, Chawes BL, Palacios NI, Gray KJ, Mirzakhani H, Wu A, Blighe K, Weiss ST, Lasky-Su J. Applications of Metabolomics in the Study and Management of Preeclampsia; A Review of the Literature. Metabolomics 2017; 13:86. [PMID: 30473646 PMCID: PMC6247796 DOI: 10.1007/s11306-017-1225-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2017] [Accepted: 06/05/2017] [Indexed: 12/12/2022]
Abstract
Introduction Preeclampsia represents a major public health burden worldwide, but predictive and diagnostic biomarkers are lacking. Metabolomics is emerging as a valuable approach to generating novel biomarkers whilst increasing the mechanistic understanding of this complex condition. Objectives To summarize the published literature on the use of metabolomics as a tool to study preeclampsia. Methods PubMed and Web of Science were searched for articles that performed metabolomic profiling of human biosamples using either Mass-spectrometry or Nuclear Magnetic Resonance based approaches and which included preeclampsia as a primary endpoint. Results Twenty-eight studies investigating the metabolome of preeclampsia in a variety of biospecimens were identified. Individual metabolite and metabolite profiles were reported to have discriminatory ability to distinguish preeclamptic from normal pregnancies, both prior to and post diagnosis. Lipids and carnitines were among the most commonly reported metabolites. Further work and validation studies are required to demonstrate the utility of such metabolites as preeclampsia biomarkers. Conclusion Metabolomic-based biomarkers of preeclampsia have yet to be integrated into routine clinical practice. However, metabolomic profiling is becoming increasingly popular in the study of preeclampsia and is likely to be a valuable tool to better understand the pathophysiology of this disorder and to better classify its subtypes, particularly when integrated with other omic data.
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Affiliation(s)
- Rachel S Kelly
- Channing Division of Network Medicine, Brigham and Women's Hospital Harvard Medical School, Boston MA 02115, USA
| | - Rachel T Giorgio
- Channing Division of Network Medicine, Brigham and Women's Hospital Harvard Medical School, Boston MA 02115, USA
| | - Bo L Chawes
- Channing Division of Network Medicine, Brigham and Women's Hospital Harvard Medical School, Boston MA 02115, USA
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Natalia I Palacios
- Department of Public Health University of Massachusetts, Lowell, Lowell MA
- Department of Nutrition, Harvard School of Public Health, Boston MA
| | - Kathryn J Gray
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Hoooman Mirzakhani
- Channing Division of Network Medicine, Brigham and Women's Hospital Harvard Medical School, Boston MA 02115, USA
| | - Ann Wu
- Boston Children's Hospital
| | - Kevin Blighe
- Channing Division of Network Medicine, Brigham and Women's Hospital Harvard Medical School, Boston MA 02115, USA
| | - Scott T Weiss
- Channing Division of Network Medicine, Brigham and Women's Hospital Harvard Medical School, Boston MA 02115, USA
| | - Jessica Lasky-Su
- Channing Division of Network Medicine, Brigham and Women's Hospital Harvard Medical School, Boston MA 02115, USA
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9
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Chen T, He P, Tan Y, Xu D. Biomarker identification and pathway analysis of preeclampsia based on serum metabolomics. Biochem Biophys Res Commun 2017; 485:119-125. [DOI: 10.1016/j.bbrc.2017.02.032] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2017] [Accepted: 02/06/2017] [Indexed: 01/03/2023]
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10
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Alves E, Melo T, Rey F, Moreira AS, Domingues P, Domingues MR. Polar lipid profiling of olive oils as a useful tool in helping to decipher their unique fingerprint. Lebensm Wiss Technol 2016. [DOI: 10.1016/j.lwt.2016.07.071] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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11
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Piras D, Locci E, Palmas F, Ferino G, Fanos V, Noto A, D’aloja E, Finco G. Rare disease: a focus on metabolomics. Expert Opin Orphan Drugs 2016. [DOI: 10.1080/21678707.2016.1252671] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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12
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Pinto J, Almeida LM, Martins AS, Duarte D, Domingues MRM, Barros AS, Galhano E, Pita C, Almeida MDC, Carreira IM, Gil AM. Impact of fetal chromosomal disorders on maternal blood metabolome: toward new biomarkers? Am J Obstet Gynecol 2015. [PMID: 26220113 DOI: 10.1016/j.ajog.2015.07.032] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
OBJECTIVE This study aimed at determining the relationship between fetal chromosomal disorders (CDs), including trisomy 21 (T21), and on first- and second-trimester maternal blood plasma, to identify the time-course metabolic adaptations to the conditions and the possible new plasma biomarkers. Furthermore, a definition of a joint circulatory (plasma) and excretory (urine) metabolic description of second-trimester CDs was sought. STUDY DESIGN Plasma was obtained for 119 pregnant women: 74 controls and 45 CD cases, including 22 T21 cases. Plasma and lipid extracts (for T21 only) were analyzed by nuclear magnetic resonance spectroscopy, and data were handled by variable selection and multivariate analysis. Correlation analysis was used on a concatenated plasma/urine matrix descriptive of second-trimester CD, based on previously obtained urine data. RESULTS CD cases were accompanied by enhanced lipid β-oxidation (increased ketone bodies) and underutilization of glucose, pyruvate, and citrate. Lower circulating high-density lipoprotein levels were noted, along with changes in the proline and methanol in the first trimester, and also the urea, creatinine, acetate, and low-density lipoprotein plus very low-density lipoprotein in the second trimester and the different urea and creatinine levels, suggesting fetal renal dysfunction. In terms of plasma composition, T21 cases were indistinguishable from other CDs in the first trimester, whereas in the second trimester, increased methanol and albumin may be T21 specific. Furthermore, first-trimester lipid extracts of T21 showed decreased levels of 18:2 fatty acids, whereas in the second trimester, lower levels of 20:4 and 22:6 fatty acids were noted, possibly indicative of inflammation mechanisms. In both trimesters, high classification rates for CDs (88-89%) and T21 (85-92%) generally relied on variable selection of nuclear magnetic resonance data. Plasma/urine correlations confirmed most metabolic deviations and unveiled possible new ones regarding low-density lipoprotein plus very low-density lipoprotein, sugar, and gut-microflora metabolisms. CONCLUSION This work partially confirmed previously reported data on first-trimester T21 and provided additional information on time-course metabolic changes accompanying CD and T21, in particular regarding plasma lipid composition. These results demonstrate the potential of plasma metabolomics in monitoring and characterizing CD cases; however, validation in larger cohorts is desirable.
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Affiliation(s)
- Joana Pinto
- CICECO-Aveiro Institute of Materials, Department of Chemistry, University of Aveiro, Aveiro, Portugal
| | - Lara Monteiro Almeida
- CICECO-Aveiro Institute of Materials, Department of Chemistry, University of Aveiro, Aveiro, Portugal
| | - Ana Sofia Martins
- CICECO-Aveiro Institute of Materials, Department of Chemistry, University of Aveiro, Aveiro, Portugal
| | - Daniela Duarte
- CICECO-Aveiro Institute of Materials, Department of Chemistry, University of Aveiro, Aveiro, Portugal
| | - Maria Rosário Marques Domingues
- Química Orgânica, Produtos Naturais e Agroalimentares Research Unit, Department of Chemistry, University of Aveiro, Aveiro, Portugal
| | - António Sousa Barros
- Química Orgânica, Produtos Naturais e Agroalimentares Research Unit, Department of Chemistry, University of Aveiro, Aveiro, Portugal
| | - Eulália Galhano
- Maternidade Bissaya Barreto, Centro Hospitalar e Universitário de Coimbra-CHUC, Coimbra, Portugal
| | - Cristina Pita
- Maternidade Bissaya Barreto, Centro Hospitalar e Universitário de Coimbra-CHUC, Coimbra, Portugal
| | - Maria do Céu Almeida
- Maternidade Bissaya Barreto, Centro Hospitalar e Universitário de Coimbra-CHUC, Coimbra, Portugal
| | - Isabel Marques Carreira
- Cytogenetics and Genomics Laboratory, Faculty of Medicine; CNC.IBILI, University of Coimbra; and CIMAGO Center for Research in Environment, Genetics, and Oncobiology, Coimbra, Portugal
| | - Ana Maria Gil
- CICECO-Aveiro Institute of Materials, Department of Chemistry, University of Aveiro, Aveiro, Portugal.
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Austdal M, Tangerås LH, Skråstad RB, Salvesen K, Austgulen R, Iversen AC, Bathen TF. First Trimester Urine and Serum Metabolomics for Prediction of Preeclampsia and Gestational Hypertension: A Prospective Screening Study. Int J Mol Sci 2015; 16:21520-38. [PMID: 26370975 PMCID: PMC4613265 DOI: 10.3390/ijms160921520] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2015] [Revised: 08/17/2015] [Accepted: 08/26/2015] [Indexed: 01/03/2023] Open
Abstract
Hypertensive disorders of pregnancy, including preeclampsia, are major contributors to maternal morbidity. The goal of this study was to evaluate the potential of metabolomics to predict preeclampsia and gestational hypertension from urine and serum samples in early pregnancy, and elucidate the metabolic changes related to the diseases. Metabolic profiles were obtained by nuclear magnetic resonance spectroscopy of serum and urine samples from 599 women at medium to high risk of preeclampsia (nulliparous or previous preeclampsia/gestational hypertension). Preeclampsia developed in 26 (4.3%) and gestational hypertension in 21 (3.5%) women. Multivariate analyses of the metabolic profiles were performed to establish prediction models for the hypertensive disorders individually and combined. Urinary metabolomic profiles predicted preeclampsia and gestational hypertension at 51.3% and 40% sensitivity, respectively, at 10% false positive rate, with hippurate as the most important metabolite for the prediction. Serum metabolomic profiles predicted preeclampsia and gestational hypertension at 15% and 33% sensitivity, respectively, with increased lipid levels and an atherogenic lipid profile as most important for the prediction. Combining maternal characteristics with the urinary hippurate/creatinine level improved the prediction rates of preeclampsia in a logistic regression model. The study indicates a potential future role of clinical importance for metabolomic analysis of urine in prediction of preeclampsia.
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Affiliation(s)
- Marie Austdal
- Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology, 7491 Trondheim, Norway.
- St. Olavs Hospital, Trondheim University Hospital, 7006 Trondheim, Norway.
| | - Line H Tangerås
- St. Olavs Hospital, Trondheim University Hospital, 7006 Trondheim, Norway.
- Centre of Molecular Inflammation Research, Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, 7491 Trondheim, Norway.
| | - Ragnhild B Skråstad
- Department of Laboratory Medicine Children's and Women's Health, Faculty of Medicine, Norwegian University of Science and Technology, 7491 Trondheim, Norway.
- National Center for Fetal Medicine, Department of Obstetrics and Gynecology, St. Olavs Hospital, Trondheim University Hospital, 7030 Trondheim, Norway.
| | - Kjell Salvesen
- National Center for Fetal Medicine, Department of Obstetrics and Gynecology, St. Olavs Hospital, Trondheim University Hospital, 7030 Trondheim, Norway.
- Department of Obstetrics and Gynecology, Clinical Sciences, Lund University, 221 00 Lund, Sweden.
| | - Rigmor Austgulen
- Centre of Molecular Inflammation Research, Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, 7491 Trondheim, Norway.
| | - Ann-Charlotte Iversen
- Centre of Molecular Inflammation Research, Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, 7491 Trondheim, Norway.
| | - Tone F Bathen
- Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology, 7491 Trondheim, Norway.
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