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Tian Y, Liu M, Sun JY, Wang Y, Chen L, Sun W, Zhou L. Diagnosis of preeclampsia using metabolomic biomarkers. Hypertens Pregnancy 2024; 43:2379386. [PMID: 39039822 DOI: 10.1080/10641955.2024.2379386] [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: 04/19/2024] [Accepted: 06/30/2024] [Indexed: 07/24/2024]
Abstract
The diagnostic criteria for preeclampsia do not accurately reflect the pathophysiological characteristics of patients with preeclampsia. Conventional biomarkers and diagnostic approaches have proven insufficient to fully comprehend the intricacies of preeclampsia. This study aimed to screen differentially abundant metabolites as candidate biomarkers for preeclampsia. A propensity score matching method was used to perform a 1:1 match between preeclampsia patients (n = 70) and healthy control individuals (n = 70). Based on univariate and multivariate statistical analysis methods, the different characteristic metabolites were screened and identified. Least absolute shrinkage and selection operator (LASSO) regression analysis was subsequently used to further screen for differentially abundant metabolites. A receiver operating characteristic (ROC) curve was drawn to evaluate the diagnostic efficacy of the metabolites. A total of 1,630 metabolites were identified and quantified in maternal serum samples. Fifty-three metabolites were significantly increased, and two were significantly decreased in preeclampsia patients. The area under the curve (AUC) of the model composed of isobutyryl-L-carnitine and acetyl-leucine was 0.878, and the sensitivity and specificity in detecting preeclampsia were 81.4% and 87.1%, respectively. There are significant differences in metabolism between preeclampsia patients and healthy pregnant women, and a range of novel biomarkers have been identified. These findings lay the foundation for the use of metabolomic biomarkers for the diagnosis of preeclampsia.
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Affiliation(s)
- Yunfan Tian
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Mingwei Liu
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jin-Yu Sun
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yifeng Wang
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Lianmin Chen
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Wei Sun
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Ling Zhou
- Department of Obstetrics and Gynecology, Liyang People's Hospital, Liyang, Jiangsu, China
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Zhao HJ, Chen Y, Liu T, McArthur K, Mueller NT. Short-Chain Fatty Acids and Preeclampsia: A Scoping Review. Nutr Rev 2024:nuae057. [PMID: 38796843 DOI: 10.1093/nutrit/nuae057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/29/2024] Open
Abstract
BACKGROUND Preeclampsia (PE) is a pregnancy-associated hypertension disorder with high morbidity and mortality. Short-chain fatty acids (SCFAs)-molecules produced by gut microbes-have been associated with hypertension, yet their relation to PE remains uncertain. OBJECTIVES The aim was to review existing human studies that examined associations of the major SCFAs (acetate, propionate, butyrate) in pregnancy with PE development. METHODS Two reviewers independently searched online databases (EMBASE, PubMed, Web of Science, and Cochrane Database of Systematic Reviews) in January 2024 using the following terms: "short-chain fatty acids," "acetic acid," "butyric acid," "propionic acid," and "preeclampsia." The final set of included studies had to report associations of SCFAs with PE, be peer-reviewed, be written in English, and be conducted in humans. RESULTS The abstracts of 907 studies were screened; 43 underwent full-text screening and 11 (1318 total participants, 352 with PE) were included in the final review. All studies used a case-control design. SCFAs were measured in a range of biospecimens (eg, serum, plasma, feces, placentas, and amniotic fluid) that were collected at distinct time points in pregnancy. All 7 studies that investigated butyrate found that it was lower in PE cases than in controls, with 6 of these showing statistical significance (P < .05). Five studies showed that acetate was significantly lower in individuals with PE compared with healthy individuals, while 1 study found that acetate was significantly higher in PE cases. One study reported significantly higher propionate among PE cases vs controls, while 2 studies reported significantly lower propionate levels in PE cases. The nuance in results for acetate and propionate may owe to reasons such as differences in distributions of population characteristics associated with SCFA level and PE or type of PE (early vs late). CONCLUSION Current epidemiologic evidence, which derives only from case-control studies, suggests that SCFAs, particularly butyrate (protective), in pregnancy are related to the development of PE. Large-cohort studies are warranted to investigate the temporality and potential causality of these associations.
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Affiliation(s)
- Heather J Zhao
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States
- Temerty School of Medicine, University of Toronto, Toronto, ON M5S1A8, Canada
| | - Yingan Chen
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, United States
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO 80045, United States
| | - Tiange Liu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States
| | - Kristen McArthur
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States
| | - Noel T Mueller
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, United States
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, United States
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO 80045, United States
- Department of Pediatrics, Section of Nutrition, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, United States
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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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Youssef L, Testa L, Crovetto F, Crispi F. 10. Role of high dimensional technology in preeclampsia (omics in preeclampsia). Best Pract Res Clin Obstet Gynaecol 2024; 92:102427. [PMID: 37995432 DOI: 10.1016/j.bpobgyn.2023.102427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 07/05/2023] [Accepted: 08/06/2023] [Indexed: 11/25/2023]
Abstract
Preeclampsia is a pregnancy-specific disease that has no known precise cause. Integrative biology approach based on multi-omics has been applied to identify upstream pathways and better understand the pathophysiology of preeclampsia. At DNA level, genomics and epigenomics studies have revealed numerous genetic variants associated with preeclampsia, including those involved in regulating blood pressure and immune response. Transcriptomics analyses have revealed altered expression of genes in preeclampsia, particularly those related to inflammation and angiogenesis. At protein level, proteomics studies have identified potential biomarkers for preeclampsia diagnosis and prediction in addition to revealing the main pathophysiological pathways involved in this disease. At metabolite level, metabolomics has highlighted altered lipid and amino acid metabolisms in preeclampsia. Finally, microbiomics studies have identified dysbiosis in the gut and vaginal microbiota in pregnant women with preeclampsia. Overall, omics technologies have improved our understanding of the complex molecular mechanisms underlying preeclampsia. However, further research is warranted to fully integrate and translate these omics findings into clinical practice.
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Affiliation(s)
- Lina Youssef
- BCNatal | Barcelona Center for Maternal Fetal and Neonatal Medicine, Hospital Clínic and Hospital Sant Joan de Déu, IDIBAPS, University of Barcelona, Barcelona, Spain; Institut de Recerca August Pi Sunyer (IDIBAPS), Barcelona, Spain; Josep Carreras Leukaemia Research Institute, Hospital Clinic/University of Barcelona Campus, Barcelona, Spain.
| | - Lea Testa
- BCNatal | Barcelona Center for Maternal Fetal and Neonatal Medicine, Hospital Clínic and Hospital Sant Joan de Déu, IDIBAPS, University of Barcelona, Barcelona, Spain
| | - Francesca Crovetto
- BCNatal | Barcelona Center for Maternal Fetal and Neonatal Medicine, Hospital Clínic and Hospital Sant Joan de Déu, IDIBAPS, University of Barcelona, Barcelona, Spain; Institut de Recerca Sant Joan de Deu (IRSJD), Barcelona, Spain
| | - Fatima Crispi
- BCNatal | Barcelona Center for Maternal Fetal and Neonatal Medicine, Hospital Clínic and Hospital Sant Joan de Déu, IDIBAPS, University of Barcelona, Barcelona, Spain; Institut de Recerca August Pi Sunyer (IDIBAPS), Barcelona, Spain; Centre for Biomedical Research on Rare Diseases (CIBER-ER), Madrid, Spain
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Ujlaki G, Kovács T, Vida A, Kókai E, Rauch B, Schwarcz S, Mikó E, Janka E, Sipos A, Hegedűs C, Uray K, Nagy P, Bai P. Identification of Bacterial Metabolites Modulating Breast Cancer Cell Proliferation and Epithelial-Mesenchymal Transition. Molecules 2023; 28:5898. [PMID: 37570868 PMCID: PMC10420980 DOI: 10.3390/molecules28155898] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 07/27/2023] [Accepted: 08/02/2023] [Indexed: 08/13/2023] Open
Abstract
Breast cancer patients are characterized by the oncobiotic transformation of multiple microbiome communities, including the gut microbiome. Oncobiotic transformation of the gut microbiome impairs the production of antineoplastic bacterial metabolites. The goal of this study was to identify bacterial metabolites with antineoplastic properties. We constructed a 30-member bacterial metabolite library and screened the library compounds for effects on cell proliferation and epithelial-mesenchymal transition. The metabolites were applied to 4T1 murine breast cancer cells in concentrations corresponding to the reference serum concentrations. However, yric acid, glycolic acid, d-mannitol, 2,3-butanediol, and trans-ferulic acid exerted cytostatic effects, and 3-hydroxyphenylacetic acid, 4-hydroxybenzoic acid, and vanillic acid exerted hyperproliferative effects. Furthermore, 3-hydroxyphenylacetic acid, 4-hydroxybenzoic acid, 2,3-butanediol, and hydrocinnamic acid inhibited epithelial-to-mesenchymal (EMT) transition. We identified redox sets among the metabolites (d-mannitol-d-mannose, 1-butanol-butyric acid, ethylene glycol-glycolic acid-oxalic acid), wherein only one partner within the set (d-mannitol, butyric acid, glycolic acid) possessed bioactivity in our system, suggesting that changes to the local redox potential may affect the bacterial secretome. Of the nine bioactive metabolites, 2,3-butanediol was the only compound with both cytostatic and anti-EMT properties.
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Affiliation(s)
- Gyula Ujlaki
- Department of Medical Chemistry, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary; (G.U.); (T.K.); (A.V.); (E.K.); (B.R.); (S.S.); (E.M.); (A.S.); (C.H.); (K.U.)
| | - Tünde Kovács
- Department of Medical Chemistry, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary; (G.U.); (T.K.); (A.V.); (E.K.); (B.R.); (S.S.); (E.M.); (A.S.); (C.H.); (K.U.)
| | - András Vida
- Department of Medical Chemistry, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary; (G.U.); (T.K.); (A.V.); (E.K.); (B.R.); (S.S.); (E.M.); (A.S.); (C.H.); (K.U.)
| | - Endre Kókai
- Department of Medical Chemistry, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary; (G.U.); (T.K.); (A.V.); (E.K.); (B.R.); (S.S.); (E.M.); (A.S.); (C.H.); (K.U.)
| | - Boglára Rauch
- Department of Medical Chemistry, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary; (G.U.); (T.K.); (A.V.); (E.K.); (B.R.); (S.S.); (E.M.); (A.S.); (C.H.); (K.U.)
| | - Szandra Schwarcz
- Department of Medical Chemistry, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary; (G.U.); (T.K.); (A.V.); (E.K.); (B.R.); (S.S.); (E.M.); (A.S.); (C.H.); (K.U.)
| | - Edit Mikó
- Department of Medical Chemistry, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary; (G.U.); (T.K.); (A.V.); (E.K.); (B.R.); (S.S.); (E.M.); (A.S.); (C.H.); (K.U.)
| | - Eszter Janka
- Department of Dermatology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary;
| | - Adrienn Sipos
- Department of Medical Chemistry, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary; (G.U.); (T.K.); (A.V.); (E.K.); (B.R.); (S.S.); (E.M.); (A.S.); (C.H.); (K.U.)
| | - Csaba Hegedűs
- Department of Medical Chemistry, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary; (G.U.); (T.K.); (A.V.); (E.K.); (B.R.); (S.S.); (E.M.); (A.S.); (C.H.); (K.U.)
| | - Karen Uray
- Department of Medical Chemistry, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary; (G.U.); (T.K.); (A.V.); (E.K.); (B.R.); (S.S.); (E.M.); (A.S.); (C.H.); (K.U.)
| | - Péter Nagy
- Department of Biophysics and Cell Biology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary;
| | - Peter Bai
- Department of Medical Chemistry, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary; (G.U.); (T.K.); (A.V.); (E.K.); (B.R.); (S.S.); (E.M.); (A.S.); (C.H.); (K.U.)
- MTA-DE Lendület Laboratory of Cellular Metabolism, 4032 Debrecen, Hungary
- Research Center for Molecular Medicine, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
- ELKH-DE Cell Biology and Signaling Research Group ELKH, 4032 Debrecen, Hungary
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Kenny L, Brown L, Ortea P, Tuytten R, Kell D. Relationship between the concentration of ergothioneine in plasma and the likelihood of developing pre-eclampsia. Biosci Rep 2023; 43:BSR20230160. [PMID: 37278746 PMCID: PMC10326187 DOI: 10.1042/bsr20230160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 03/22/2023] [Accepted: 06/06/2023] [Indexed: 06/07/2023] Open
Abstract
Ergothioneine, an antioxidant nutraceutical mainly at present derived from the dietary intake of mushrooms, has been suggested as a preventive for pre-eclampsia (PE). We analysed early pregnancy samples from a cohort of 432 first time mothers as part of the Screening for Endpoints in Pregnancy (SCOPE, European branch) project to determine the concentration of ergothioneine in their plasma. There was a weak association between the ergothioneine levels and maternal age but none for BMI. Of these 432 women, 97 went on to develop pre-term (23) or term (74) PE. If a threshold was set at the 90th percentile of the reference range in the control population (≥462 ng/ml), only one of these 97 women (1%) developed PE, versus 96/397 (24.2%) whose ergothioneine level was below this threshold. One possible interpretation of these findings, consistent with previous experiments in a reduced uterine perfusion model in rats, is that ergothioneine may indeed prove protective against PE in humans. An intervention study of some kind now seems warranted.
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Affiliation(s)
- Louise C. Kenny
- Department of Women’s and Children’s Health, Faculty of Health and Life Sciences, University of Liverpool, Liverpool L7 8TX, U.K
| | | | | | | | | | - Douglas B. Kell
- Department of Biochemistry and Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Crown St, Liverpool L69 7BX, U.K
- Novo Nordisk Foundation Centre for Biosustainability, Technical University of Denmark, Kemitorvet 200, 2800 Kgs Lyngby, Denmark
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Su AL, Harris SM, Elkin ER, Karnovsky A, Colacino J, Loch-Caruso RK. Trichloroethylene Metabolite S-(1,2-Dichlorovinyl)-l-cysteine Stimulates Changes in Energy Metabolites and Amino Acids in the BeWo Human Placental Trophoblast Model during Syncytialization. Chem Res Toxicol 2023; 36:882-899. [PMID: 37162359 PMCID: PMC10499396 DOI: 10.1021/acs.chemrestox.3c00007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Syncytialization, the fusion of cytotrophoblasts into an epithelial barrier that constitutes the maternal-fetal interface, is a crucial event of placentation. This process is characterized by distinct changes to amino acid and energy metabolism. A metabolite of the industrial solvent trichloroethylene (TCE), S-(1,2-dichlorovinyl)-l-cysteine (DCVC), modifies energy metabolism and amino acid abundance in HTR-8/SVneo extravillous trophoblasts. In the current study, we investigated DCVC-induced changes to energy metabolism and amino acids during forskolin-stimulated syncytialization in BeWo cells, a human villous trophoblastic cell line that models syncytialization in vitro. BeWo cells were exposed to forskolin at 100 μM for 48 h to stimulate syncytialization. During syncytialization, BeWo cells were also treated with DCVC at 0 (control), 10, or 20 μM. Following treatment, the targeted metabolomics platform, "Tricarboxylic Acid Plus", was used to identify changes in energy metabolism and amino acids. DCVC treatment during syncytialization decreased oleic acid, aspartate, proline, uridine diphosphate (UDP), UDP-d-glucose, uridine monophosphate, and cytidine monophosphate relative to forskolin-only treatment controls, but did not increase any measured metabolite. Notable changes stimulated by syncytialization in the absence of DCVC included increased adenosine monophosphate and guanosine monophosphate, as well as decreased aspartate and glutamate. Pathway analysis revealed multiple pathways in amino acid and sugar metabolisms that were altered with forskolin-stimulated syncytialization alone and DCVC treatment during syncytialization. Analysis of ratios of metabolites within the pathways revealed that DCVC exposure during syncytialization changed metabolite ratios in the same or different direction compared to syncytialization alone. Building off our oleic acid findings, we found that extracellular matrix metalloproteinase-2, which is downstream in oleic acid signaling, underwent the same changes as oleic acid. Together, the metabolic changes stimulated by DCVC treatment during syncytialization suggest changes in energy metabolism and amino acid abundance as potential mechanisms by which DCVC could impact syncytialization and pregnancy.
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Affiliation(s)
- Anthony L. Su
- Department of Environmental Health Sciences, University of Michigan, Ann Arbor, Michigan 48109
| | - Sean M. Harris
- Department of Environmental Health Sciences, University of Michigan, Ann Arbor, Michigan 48109
| | - Elana R. Elkin
- Department of Environmental Health Sciences, University of Michigan, Ann Arbor, Michigan 48109
| | - Alla Karnovsky
- Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan 48109, United States
| | - Justin Colacino
- Department of Environmental Health Sciences, University of Michigan, Ann Arbor, Michigan 48109
- Department of Nutritional Sciences, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Rita Karen Loch-Caruso
- Department of Environmental Health Sciences, University of Michigan, Ann Arbor, Michigan 48109
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Pederson WP, Ellerman LM, Jin Y, Gu H, Ledford JG. Metabolomic Profiling in Mouse Model of Menopause-Associated Asthma. Metabolites 2023; 13:546. [PMID: 37110204 PMCID: PMC10145474 DOI: 10.3390/metabo13040546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 04/06/2023] [Accepted: 04/07/2023] [Indexed: 04/29/2023] Open
Abstract
Menopause-associated asthma impacts a subset of women, tends to be more severe, and is less responsive to current treatments. We recently developed a model of menopause-associated asthma using 4-Vinylcyclohexene Diepoxide (VCD) and house dust mites (HDM). The goal of this study was to uncover potential biomarkers and drivers of menopause-onset asthma by assessing serum and bronchoalveolar lavage fluid (BALF) samples from mice with and without menopause and HDM challenge by large-scale targeted metabolomics. Female mice were treated with VCD/HDM to model menopause-associated asthma, and serum and BALF samples were processed for large-scale targeted metabolomic assessment. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) was used to examine metabolites of potential biological significance. We identified over 50 individual metabolites, impacting 46 metabolic pathways, in the serum and BALF that were significantly different across the four study groups. In particular, glutamate, GABA, phosphocreatine, and pyroglutamic acid, which are involved in glutamate/glutamine, glutathione, and arginine and proline metabolisms, were significantly impacted in the menopausal HDM-challenged mice. Additionally, several metabolites had significant correlations with total airway resistance including glutamic acid, histamine, uridine, cytosine, cytidine, and acetamide. Using metabolic profiling, we identified metabolites and metabolic pathways that may aid in discriminating potential biomarkers for and drivers of menopause-associated asthma.
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Affiliation(s)
- William P. Pederson
- Physiological Sciences GIDP, University of Arizona, Tucson, AZ 85724, USA;
- Department of Physiology, University of Arizona, Tucson, AZ 85724, USA
| | | | - Yan Jin
- Center for Translational Science, Florida International University, Port St. Lucie, FL 34987, USA
| | - Haiwei Gu
- Center for Translational Science, Florida International University, Port St. Lucie, FL 34987, USA
| | - Julie G. Ledford
- Asthma and Airway Disease Research Center, Tucson, AZ 85724, USA
- Department of Cellular and Molecular Medicine, University of Arizona, Tucson, AZ 85724, USA
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Jala A, Dutta R, Josyula JVN, Mutheneni SR, Borkar RM. Environmental phenol exposure associates with urine metabolome alteration in young Northeast Indian females. CHEMOSPHERE 2023; 317:137830. [PMID: 36640981 DOI: 10.1016/j.chemosphere.2023.137830] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 12/12/2022] [Accepted: 01/10/2023] [Indexed: 06/17/2023]
Abstract
Urinary biomonitoring delivers the most accurate environmental phenols exposure assessment. However, environmental phenol exposure-related biomarkers are required to improve risk assessment to understand the internal processes perturbed, which may link exposure to specific health outcomes. This study aimed to investigate the association between environmental phenols exposure and the metabolome of young adult females from India. Urinary metabolomics was performed using liquid chromatography-mass spectrometry. Environmental phenols-related metabolic biomarkers were investigated by comparing the low and high exposure of environmental phenols. Seven potential biomarkers, namely histidine, cysteine-s-sulfate, 12-KETE, malonic acid, p-hydroxybenzoic acid, PE (36:2), and PS (36:0), were identified, revealing that environmental phenol exposure altered the metabolic pathways such as histidine metabolism, beta-Alanine metabolism, glycerophospholipid metabolism, and other pathways. This study also conceived an innovative strategy for the early prediction of diseases by combining urinary metabolomics with machine learning (ML) algorithms. The differential metabolites predictive accuracy by ML models was >80%. This is the first mass spectrometry-based metabolomics study on young adult females from India with environmental phenols exposure. The study is valuable in demonstrating multiple urine metabolic changes linked to environmental phenol exposure and a better understanding of the mechanisms behind environmental phenol-induced effects in young female adults.
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Affiliation(s)
- Aishwarya Jala
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research, Guwahati, 781101, Assam, India
| | - Ratul Dutta
- Down Town Hospital, Guwahati, Assam, 781106, India
| | | | - Srinivasa Rao Mutheneni
- Applied Biology Division, CSIR-Indian Institute of Chemical Technology, Tarnaka, Hyderabad, 500007, Telangana, India
| | - Roshan M Borkar
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research, Guwahati, 781101, Assam, India.
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Tuytten R, Syngelaki A, Thomas G, Panigassi A, Brown LW, Ortea P, Nicolaides KH. First-trimester preterm preeclampsia prediction with metabolite biomarkers: differential prediction according to maternal body mass index. Am J Obstet Gynecol 2022:S0002-9378(22)02290-6. [PMID: 36539025 DOI: 10.1016/j.ajog.2022.12.012] [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: 08/19/2022] [Revised: 12/08/2022] [Accepted: 12/11/2022] [Indexed: 12/23/2022]
Abstract
BACKGROUND Prediction of preeclampsia risk is key to informing effective maternal care. Current screening for preeclampsia at 11 to 13 weeks of gestation using maternal demographic characteristics and medical history with measurements of mean arterial pressure, uterine artery pulsatility index, and serum placental growth factor can identify approximately 75% of women who develop preterm preeclampsia with delivery at <37 weeks of gestation. Further improvements to preeclampsia screening tests will likely require integrating additional biomarkers. Recent research suggests the existence of distinct maternal risk profiles. Therefore, biomarker evaluation should account for the possibility that a biomarker only predicts preeclampsia in a specific maternal phenotype. OBJECTIVE This study aimed to verify metabolite biomarkers as preterm preeclampsia predictors early in pregnancy in all women and across body mass index groups. STUDY DESIGN Observational case-control study drawn from a large prospective study on the early prediction of pregnancy complications in women attending their routine first hospital visit at King's College Hospital, London, United Kingdom, in 2010 to 2015. Pregnant women underwent a complete first-trimester assessment, including the collection of blood samples for biobanking. In 11- to 13-week plasma samples of 2501 singleton pregnancies, the levels of preselected metabolites implicated in the prediction of pregnancy complications were analyzed using a targeted liquid chromatography-mass spectrometry method, yielding high-quality quantification data on 50 metabolites. The ratios of amino acid levels involved in arginine biosynthesis and nitric oxide synthase pathways were added to the list of biomarkers. Placental growth factor and pregnancy-associated plasma protein A were also available for all study subjects, serving as comparator risk predictors. Data on 1635 control and 106 pregnancies complicated by preterm preeclampsia were considered for this analysis, normalized using multiples of medians. Prediction analyses were performed across the following patient strata: all subjects and the body mass index classes of <25, 25 to <30, and ≥30 kg/m2. Adjusted median levels were compared between cases and controls and between each body mass index class group. Odds ratios and 95% confidence intervals were calculated at the mean ±1 standard deviation to gauge clinical prediction merits. RESULTS The levels of 13 metabolites were associated with preterm preeclampsia in the entire study population (P<.05) with particularly significant (P<.01) associations found for 6 of them, namely, 2-hydroxy-(2/3)-methylbutyric acid, 25-hydroxyvitamin D3, 2-hydroxybutyric acid, alanine, dodecanoylcarnitine, and 1-(1Z-octadecenyl)-2-oleoyl-sn-glycero-3-phosphocholine. Fold changes in 7 amino acid ratios, all involving glutamine or ornithine, were also significantly different between cases and controls (P<.01). The predictive performance of some metabolites and ratios differed according to body mass index classification; for example, ornithine (P<.001) and several ornithine-related ratios (P<.0001 to P<.01) were only strongly associated with preterm preeclampsia in the body mass index of <25 kg/m2 group, whereas dodecanoylcarnitine and 3 glutamine ratios were particularly predictive in the body mass index of ≥30 kg/m2 group (P<.01). CONCLUSION Single metabolites and ratios of amino acids related to arginine bioavailability and nitric oxide synthase pathways were associated with preterm preeclampsia risk at 11 to 13 weeks of gestation. Differential prediction was observed according to body mass index classes, supporting the existence of distinct maternal risk profiles. Future studies in preeclampsia prediction should account for the possibility of different maternal risk profiles to improve etiologic and prognostic understanding and, ultimately, clinical utility of screening tests.
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Affiliation(s)
| | - Argyro Syngelaki
- Harris Birthright Research Centre for Fetal Medicine, King's College Hospital, London, United Kingdom
| | | | | | | | | | - Kypros H Nicolaides
- Harris Birthright Research Centre for Fetal Medicine, King's College Hospital, London, United Kingdom.
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Hasken JM, de Vries MM, Marais AS, May PA, Parry CDH, Seedat S, Mooney SM, Smith SM. Untargeted Metabolome Analysis of Alcohol-Exposed Pregnancies Reveals Metabolite Differences That Are Associated with Infant Birth Outcomes. Nutrients 2022; 14:nu14245367. [PMID: 36558526 PMCID: PMC9786146 DOI: 10.3390/nu14245367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 12/06/2022] [Accepted: 12/14/2022] [Indexed: 12/23/2022] Open
Abstract
Prenatal alcohol exposure can produce offspring growth deficits and is a leading cause of neurodevelopmental disability. We used untargeted metabolomics to generate mechanistic insight into how alcohol impairs fetal development. In the Western Cape Province of South Africa, 52 women between gestational weeks 5-36 (mean 18.5 ± 6.5) were recruited, and they provided a finger-prick fasting bloodspot that underwent mass spectrometry. Metabolomic data were analyzed using partial least squares-discriminant analyses (PLS-DA) to identify metabolites that correlated with alcohol exposure and infant birth outcomes. Women who consumed alcohol in the past seven days were distinguished by a metabolite profile that included reduced sphingomyelins, cholesterol, and pregnenolones, and elevated fatty acids, acyl and amino acyl carnitines, and androsterones. Using PLS-DA, 25 of the top 30 metabolites differentiating maternal groups were reduced by alcohol with medium-chain free fatty acids and oxidized sugar derivatives having the greatest influence. A separate ortho-PLS-DA analysis identified a common set of 13 metabolites that were associated with infant length, weight, and head circumference. These included monoacylglycerols, glycerol-3-phosphate, and unidentified metabolites, and most of their associations were negative, implying they represent processes having adverse consequences for fetal development.
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Affiliation(s)
- Julie M. Hasken
- Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC 28081, USA
- Correspondence: ; Tel.: +1-(704)-250-5002
| | - Marlene M. de Vries
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg 7602, South Africa
| | - Anna-Susan Marais
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg 7602, South Africa
| | - Philip A. May
- Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC 28081, USA
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg 7602, South Africa
- Department of Nutrition, University of North Carolina at Chapel Hill, Kannapolis, NC 28081, USA
- Center on Alcohol, Substance Abuse, and Addictions, University of New Mexico, Albuquerque, NM 87131, USA
| | - Charles D. H. Parry
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg 7602, South Africa
- Alcohol, Tobacco, and Other Drug Research Unit, South African Medical Research Council, Cape Town 7760, South Africa
| | - Soraya Seedat
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg 7602, South Africa
| | - Sandra M. Mooney
- Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC 28081, USA
- Department of Nutrition, University of North Carolina at Chapel Hill, Kannapolis, NC 28081, USA
| | - Susan M. Smith
- Nutrition Research Institute, University of North Carolina at Chapel Hill, Kannapolis, NC 28081, USA
- Department of Nutrition, University of North Carolina at Chapel Hill, Kannapolis, NC 28081, USA
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12
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Blaauwendraad SM, Wahab RJ, van Rijn BB, Koletzko B, Jaddoe VWV, Gaillard R. Associations of Early Pregnancy Metabolite Profiles with Gestational Blood Pressure Development. Metabolites 2022; 12:metabo12121169. [PMID: 36557206 PMCID: PMC9785484 DOI: 10.3390/metabo12121169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 11/18/2022] [Accepted: 11/22/2022] [Indexed: 11/25/2022] Open
Abstract
Blood pressure development plays a major role in both the etiology and prediction of gestational hypertensive disorders. Metabolomics might serve as a tool to identify underlying metabolic mechanisms in the etiology of hypertension in pregnancy and lead to the identification of novel metabolites useful for the prediction of gestational hypertensive disorders. In a population-based, prospective cohort study among 803 pregnant women, liquid chromatography—mass spectrometry was used to determine serum concentrations of amino-acids, non-esterified fatty acids, phospholipids and carnitines in early pregnancy. Blood pressure was measured in each trimester of pregnancy. Information on gestational hypertensive disorders was obtained from medical records. Higher individual metabolite concentrations of the diacyl-phosphatidylcholines and acyl-lysophosphatidylcholines group were associated with higher systolic blood pressure throughout pregnancy (Federal Discovery Rate (FDR)-adjusted p-values < 0.05). Higher concentrations of one non-esterified fatty acid were associated with higher diastolic blood pressure throughout pregnancy (FDR-adjusted p-value < 0.05). Using penalized regression, we identified 12 individual early-pregnancy amino-acids, non-esterified fatty acids, diacyl-phosphatidylcholines and acyl-carnitines and the glutamine/glutamic acid ratio, that were jointly associated with larger changes in systolic and diastolic blood pressure from first to third trimester. These metabolites did not improve the prediction of gestational hypertensive disorders in addition to clinical markers. In conclusion, altered early pregnancy serum metabolite profiles mainly characterized by changes in non-esterified fatty acids and phospholipids metabolites are associated with higher gestational blood pressure throughout pregnancy within the physiological ranges. These findings are important from an etiological perspective and, after further replication, might improve the early identification of women at increased risk of gestational hypertensive disorders.
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Affiliation(s)
- Sophia M. Blaauwendraad
- The Generation R Study Group, Erasmus MC, University Medical Center, 3000 CA Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center, 3000 CA Rotterdam, The Netherlands
| | - Rama J. Wahab
- The Generation R Study Group, Erasmus MC, University Medical Center, 3000 CA Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center, 3000 CA Rotterdam, The Netherlands
| | - Bas B. van Rijn
- Department of Gynecology and Obstetrics, Erasmus MC, University Medical Center, 3000 CA Rotterdam, The Netherlands
| | - Berthold Koletzko
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children’s Hospital, LMU—Ludwig-Maximilians Universität München, 80337 Munich, Germany
| | - Vincent W. V. Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center, 3000 CA Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center, 3000 CA Rotterdam, The Netherlands
| | - Romy Gaillard
- The Generation R Study Group, Erasmus MC, University Medical Center, 3000 CA Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center, 3000 CA Rotterdam, The Netherlands
- Correspondence:
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Rani-AGARWAL N, Sarovar BHAVESH N, KACHHAWA G, Fatai OYEYEMI B. Metabolic profiling of Serum and urine in preeclampsia and gestational diabetes in early pregnancy. MEDICINE IN DRUG DISCOVERY 2022. [DOI: 10.1016/j.medidd.2022.100143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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14
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Ilgisonis EV, Shalina R, Kasum-Zade N, Burkova KG, Trifonova OP, Maslov DL, Kaysheva AL, Markin SS. Metabolomic Markers for Predicting Preeclampsia in the First Trimester of Pregnancy: A Retrospective Study. Molecules 2022; 27:molecules27082475. [PMID: 35458675 PMCID: PMC9025490 DOI: 10.3390/molecules27082475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Revised: 04/05/2022] [Accepted: 04/07/2022] [Indexed: 11/25/2022] Open
Abstract
We sought to identify the characteristic metabolite profile of blood plasma samples obtained from patients with preeclampsia. Direct high-resolution mass spectrometry was used to analyze samples from 79 pregnant women, 34 of whom had preeclampsia. We performed a comparative analysis of the metabolite profiles and found that they differed between pregnant women with and without preeclampsia. Lipids and sugars were identified as components of the metabolite profile that are likely to be associated with the development of preeclampsia. While PE was established only in the third trimester, a set of metabolites specific for the third trimester, including 2-(acetylamino)-1,5-anhydro-2-deoxy-4-O-b-D-galactopyranosyl-D-arabino-Hex-1-enitol, N-Acetyl-D-glucosaminyldiphosphodolichol, Cer(d18:0/20:0), and allolithocholic acid, was already traced in the first trimester. These components are also likely involved in lipid metabolism disorders and the development of oxidative stress.
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Affiliation(s)
- Ekaterina V. Ilgisonis
- V.N. Orekhovich Institute of Biomedical Chemistry, 119121 Moscow, Russia; (E.V.I.); (O.P.T.); (D.L.M.); (S.S.M.)
| | - Raisa Shalina
- Department of Obstetrics and Gynecology, Pirogov Russian National Research Medical University, Ostrovitianov Str. 1, 117997 Moscow, Russia; (R.S.); (N.K.-Z.); (K.G.B.)
| | - Nigyar Kasum-Zade
- Department of Obstetrics and Gynecology, Pirogov Russian National Research Medical University, Ostrovitianov Str. 1, 117997 Moscow, Russia; (R.S.); (N.K.-Z.); (K.G.B.)
| | - Kristina G. Burkova
- Department of Obstetrics and Gynecology, Pirogov Russian National Research Medical University, Ostrovitianov Str. 1, 117997 Moscow, Russia; (R.S.); (N.K.-Z.); (K.G.B.)
| | - Oxana P. Trifonova
- V.N. Orekhovich Institute of Biomedical Chemistry, 119121 Moscow, Russia; (E.V.I.); (O.P.T.); (D.L.M.); (S.S.M.)
| | - Dmitry L. Maslov
- V.N. Orekhovich Institute of Biomedical Chemistry, 119121 Moscow, Russia; (E.V.I.); (O.P.T.); (D.L.M.); (S.S.M.)
| | - Anna L. Kaysheva
- V.N. Orekhovich Institute of Biomedical Chemistry, 119121 Moscow, Russia; (E.V.I.); (O.P.T.); (D.L.M.); (S.S.M.)
- Correspondence: ; Tel.: +7-499-764-98-78
| | - Sergey S. Markin
- V.N. Orekhovich Institute of Biomedical Chemistry, 119121 Moscow, Russia; (E.V.I.); (O.P.T.); (D.L.M.); (S.S.M.)
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Su AL, Harris SM, Elkin ER, Karnovsky A, Colacino JA, Loch-Caruso R. Trichloroethylene modifies energy metabolites in the amniotic fluid of Wistar rats. Reprod Toxicol 2022; 109:80-92. [PMID: 35301063 PMCID: PMC9000924 DOI: 10.1016/j.reprotox.2022.03.004] [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: 10/03/2021] [Revised: 03/05/2022] [Accepted: 03/11/2022] [Indexed: 10/18/2022]
Abstract
Exposure to trichloroethylene (TCE), an industrial solvent, is associated with several adverse pregnancy outcomes in humans and decreased fetal weight in rats. However, effects of TCE on energy metabolites in amniotic fluid, which have associations with pregnancy outcomes, has not been published previously. In the current exploratory study, timed-pregnant Wistar rats were exposed to 480 mg TCE/kg/day via vanilla wafer or to vehicle (wafer) alone from gestational day (GD) 6-16. Amniotic fluid collected on GD 16 was analyzed for metabolites important in energy metabolism using short chain fatty acid and tricarboxylic acid plus platforms (N = 4 samples/sex/treatment). TCE decreased concentrations of the following metabolites in amniotic fluid for both fetal sexes: 6-phosphogluconate, guanosine diphosphate, adenosine diphosphate, adenosine triphosphate, and flavin adenine dinucleotide. TCE decreased fructose 1,6-bisphosphate and guanosine triphosphate concentrations in amniotic fluid of male but not female fetuses. Moreover, TCE decreased uridine diphosphate-D-glucuronate concentrations, and increased arginine and phosphocreatine concentrations, in amniotic fluid of female fetuses only. No metabolites were increased in amniotic fluid of male fetuses. Pathway analysis suggested that TCE altered folate biosynthesis and pentose phosphate pathway in both sexes. Using metabolite ratios to investigate changes within specific pathways, some ratio alterations, including those in arginine metabolism and phenylalanine metabolism, were detected in females only. Ratio analysis also suggested enzymes, including gluconokinase, as potential TCE targets. Together, results from this exploratory study suggest that TCE differentially modified energy metabolites in amniotic fluid based on sex. These findings may inform future studies of TCE reproductive toxicity.
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Affiliation(s)
- Anthony L Su
- Department of Environmental Health Sciences, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
| | - Sean M Harris
- Department of Environmental Health Sciences, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
| | - Elana R Elkin
- Department of Environmental Health Sciences, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
| | - Alla Karnovsky
- Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Palmer Commons, 100 Washtenaw Ave #2017, Ann Arbor, MI 48109, USA.
| | - Justin A Colacino
- Department of Environmental Health Sciences, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA; Department of Nutritional Sciences, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
| | - Rita Loch-Caruso
- Department of Environmental Health Sciences, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
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16
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Yao M, Xiao Y, Yang Z, Ge W, Liang F, Teng H, Gu Y, Yin J. Identification of Biomarkers for Preeclampsia Based on Metabolomics. Clin Epidemiol 2022; 14:337-360. [PMID: 35342309 PMCID: PMC8943653 DOI: 10.2147/clep.s353019] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 02/25/2022] [Indexed: 01/15/2023] Open
Abstract
Background Preeclampsia (PE) is a significant cause of maternal and neonatal morbidity and mortality worldwide. However, the pathogenesis of PE is unclear and reliable early diagnostic methods are still lacking. The purpose of this review is to summarize potential metabolic biomarkers and pathways of PE, which might facilitate risk prediction and clinical diagnosis, and obtain a better understanding of specific metabolic mechanisms of PE. Methods This review included human metabolomics studies related to PE in the PubMed, Google Scholar, and Web of Science databases from January 2000 to November 2021. The reported metabolic biomarkers were systematically examined and compared. Pathway analysis was conducted through the online software MetaboAnalyst 5.0. Results Forty-one human studies were included in this systematic review. Several metabolites, such as creatinine, glycine, L-isoleucine, and glucose and biomarkers with consistent trends (decanoylcarnitine, 3-hydroxyisovaleric acid, and octenoylcarnitine), were frequently reported. In addition, eight amino acid metabolism-related, three carbohydrate metabolism-related, one translation-related and one lipid metabolism-related pathways were identified. These biomarkers and pathways, closely related to renal dysfunction, insulin resistance, lipid metabolism disorder, activated inflammation, and impaired nitric oxide production, were very likely to contribute to the progression of PE. Conclusion This study summarized several metabolites and metabolic pathways, which may be associated with PE. These high-frequency differential metabolites are promising to be biomarkers of PE for early diagnosis, and the prominent metabolic pathway may provide new insights for the understanding of the pathogenesis of PE.
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Affiliation(s)
- Mengxin Yao
- Department of Epidemiology and Health Statistics, Medical College of Soochow University, Suzhou, People’s Republic of China
| | - Yue Xiao
- Department of Epidemiology and Health Statistics, Medical College of Soochow University, Suzhou, People’s Republic of China
| | - Zhuoqiao Yang
- Department of Epidemiology and Health Statistics, Medical College of Soochow University, Suzhou, People’s Republic of China
| | - Wenxin Ge
- Department of Epidemiology and Health Statistics, Medical College of Soochow University, Suzhou, People’s Republic of China
| | - Fei Liang
- Department of Epidemiology and Health Statistics, Medical College of Soochow University, Suzhou, People’s Republic of China
| | - Haoyue Teng
- Department of Epidemiology and Health Statistics, Medical College of Soochow University, Suzhou, People’s Republic of China
| | - Yingjie Gu
- Department of Obstetrics and Gynecology, International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People’s Republic of China
| | - Jieyun Yin
- Department of Epidemiology and Health Statistics, Medical College of Soochow University, Suzhou, People’s Republic of China
- Correspondence: Jieyun Yin, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou, Jiangsu, People’s Republic of China, Tel/Fax +86 0512 6588036, Email
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Metformin Corrects Glucose Metabolism Reprogramming and NLRP3 Inflammasome-Induced Pyroptosis via Inhibiting the TLR4/NF- κB/PFKFB3 Signaling in Trophoblasts: Implication for a Potential Therapy of Preeclampsia. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2021; 2021:1806344. [PMID: 34804360 PMCID: PMC8601820 DOI: 10.1155/2021/1806344] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 09/15/2021] [Accepted: 09/28/2021] [Indexed: 01/22/2023]
Abstract
NOD-like receptor family, pyrin domain-containing protein 3 (NLRP3) inflammasome-mediated pyroptosis is a crucial event in the preeclamptic pathogenesis, tightly linked with the uteroplacental TLR4/NF-κB signaling. Trophoblastic glycometabolism reprogramming has now been noticed in the preeclampsia pathogenesis, plausibly modulated by the TLR4/NF-κB signaling as well. Intriguingly, cellular pyroptosis and metabolic phenotypes may be inextricably linked and interacted. Metformin (MET), a widely accepted NF-κB signaling inhibitor, may have therapeutic potential in preeclampsia while the underlying mechanisms remain unclear. Herein, we investigated the role of MET on trophoblastic pyroptosis and its relevant metabolism reprogramming. The safety of pharmacologic MET concentration to trophoblasts was verified at first, which had no adverse effects on trophoblastic viability. Pharmacological MET concentration suppressed NLRP3 inflammasome-induced pyroptosis partly through inhibiting the TLR4/NF-κB signaling in preeclamptic trophoblast models induced via low-dose lipopolysaccharide. Besides, MET corrected the glycometabolic reprogramming and oxidative stress partly via suppressing the TLR4/NF-κB signaling and blocking transcription factor NF-κB1 binding on the promoter PFKFB3, a potent glycolytic accelerator. Furthermore, PFKFB3 can also enhance the NF-κB signaling, reduce NLRP3 ubiquitination, and aggravate pyroptosis. However, MET suppressed pyroptosis partly via inhibiting PFKFB3 as well. These results provided that the TLR4/NF-κB/PFKFB3 pathway may be a novel link between metabolism reprogramming and NLRP3 inflammasome-induced pyroptosis in trophoblasts. Further, MET alleviates the NLRP3 inflammasome-induced pyroptosis, which partly relies on the regulation of TLR4/NF-κB/PFKFB3-dependent glycometabolism reprogramming and redox disorders. Hence, our results provide novel insights into the pathogenesis of preeclampsia and propose MET as a potential therapy.
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Mohammad S, Bhattacharjee J, Vasanthan T, Harris CS, Bainbridge SA, Adamo KB. Metabolomics to understand placental biology: Where are we now? Tissue Cell 2021; 73:101663. [PMID: 34653888 DOI: 10.1016/j.tice.2021.101663] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 09/30/2021] [Accepted: 10/04/2021] [Indexed: 12/16/2022]
Abstract
Metabolomics, the application of analytical chemistry methodologies to survey the chemical composition of a biological system, is used to globally profile and compare metabolites in one or more groups of samples. Given that metabolites are the terminal end-products of cellular metabolic processes, or 'phenotype' of a cell, tissue, or organism, metabolomics is valuable to the study of the maternal-fetal interface as it has the potential to reveal nuanced complexities of a biological system as well as differences over time or between individuals. The placenta acts as the primary site of maternal-fetal exchange, the success of which is paramount to growth and development of offspring during pregnancy and beyond. Although the study of metabolomics has proven moderately useful for the screening, diagnosis, and understanding of the pathophysiology of pregnancy complications, the placental metabolome in the context of a healthy pregnancy remains poorly characterized and understood. Herein, we discuss the technical aspects of metabolomics and review the current literature describing the placental metabolome in human and animal models, in the context of health and disease. Finally, we highlight areas for future opportunities in the emerging field of placental metabolomics.
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Affiliation(s)
- S Mohammad
- School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, ON, Canada
| | - J Bhattacharjee
- School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, ON, Canada
| | - T Vasanthan
- School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, ON, Canada
| | - C S Harris
- Department of Biology & Department of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa, ON, Canada
| | - S A Bainbridge
- Interdisciplinary School of Health Sciences, Faculty of Health Sciences, University of Ottawa, ON, Canada; Department of Cellular and Molecular Medicine, Faculty of Medicine, University of Ottawa, ON, Canada
| | - K B Adamo
- School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, ON, Canada.
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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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20
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Youssef L, Simões RV, Miranda J, García-Martín ML, Paules C, Crovetto F, Amigó N, Cañellas N, Gratacos E, Crispi F. Paired maternal and fetal metabolomics reveal a differential fingerprint in preeclampsia versus fetal growth restriction. Sci Rep 2021; 11:14422. [PMID: 34257400 PMCID: PMC8277896 DOI: 10.1038/s41598-021-93936-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 06/29/2021] [Indexed: 02/06/2023] Open
Abstract
Preeclampsia (PE) and fetal growth restriction (FGR) are both placenta-mediated disorders with unclear pathogenesis. Metabolomics of maternal and fetal pairs might help in understanding these disorders. We recruited prospectively pregnancies with normotensive FGR, PE without FGR, PE + FGR and uncomplicated pregnancies as controls. Nuclear magnetic resonance metabolomics were applied on plasma samples collected at delivery. Advanced lipoprotein, glycoprotein and choline profiling was performed using the Liposcale test. The software package Dolphin was used to quantify 24 low-molecular-weight metabolites. Statistical analysis comprised the comparison between each group of complicated pregnancies versus controls, considering 5% false discovery rate correction. Lipid profiles were altered in accordance with the clinical presentation of these disorders. Specifically, PE mothers and FGR fetuses (with or without FGR or PE, respectively) exhibited a pro-atherogenic and pro-inflammatory profile, with higher concentrations of triglycerides, remnant cholesterol (VLDL, IDL) and Glc/GalNAc-linked and lipid-associated glycoproteins compared to controls. Low-molecular-weight metabolites were extensively disturbed in preeclamptic mothers, with or without FGR. Growth restricted fetuses in the presence of PE showed changes in low-molecular-weight metabolites similar to their mothers (increased creatine and creatinine), while normotensive FGR fetuses presented scarce differences, consistent with undernutrition (lower isoleucine). Further research is warranted to clarify maternal and fetal adaptations to PE and FGR.
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Affiliation(s)
- Lina Youssef
- BCNatal|Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), Institut D'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Rui V Simões
- BCNatal|Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), Institut D'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain.
- Champalimaud Research, Champalimaud Centre for the Unknown, Av Brasília, 1400-038, Lisbon, Portugal.
| | - Jezid Miranda
- BCNatal|Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), Institut D'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - María Luisa García-Martín
- BIONAND, Andalusian Centre for Nanomedicine and Biotechnology (Junta de Andalucía- Universidad de Málaga), Málaga, Spain
| | - Cristina Paules
- BCNatal|Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), Institut D'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Francesca Crovetto
- BCNatal|Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), Institut D'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Nuria Amigó
- Biosfer Teslab, Reus, Spain
- Department of Basic Medical Sciences, University Rovira I Virgili, CIBERDEM, Reus, Spain
| | - Nicolau Cañellas
- Universidad Rovira I Virgili, DEEEiA, IISPV, Tarragona, Spain
- CIBERDEM, Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders, Madrid, Spain
| | - Eduard Gratacos
- BCNatal|Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), Institut D'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
- Centre for Biomedical Research on Rare Diseases (CIBER-ER), Madrid, Spain
| | - Fatima Crispi
- BCNatal|Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu), Institut D'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
- Centre for Biomedical Research on Rare Diseases (CIBER-ER), Madrid, Spain
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21
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Yang Y, Wen L, Han TL, Zhang L, Fu H, Gan J, Saffery R, Tong C, Li J, Qi H, Baker PN, Kilby MD. Twin-twin transfusion syndrome is associated with alterations in the metabolic profile of maternal plasma in early gestation: a pilot study. Prenat Diagn 2021; 41:1080-1088. [PMID: 33720417 DOI: 10.1002/pd.5933] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 01/22/2021] [Indexed: 01/12/2023]
Abstract
OBJECTIVE Twin-twin transfusion syndrome (TTTS) causes perinatal mortality and morbidity in monochorionic twins. The early recognition of and interventional therapy for TTTS is associated with a more favorable overall prognosis. However, the prediction by the use of ultrasound in the first trimester has relatively poor sensitivity and specificity. This study aimed to identify metabolic biomarkers to aid in ultrasound screening of TTTS. METHODS Maternal plasma was prospectively collected between 11 and 15 weeks of gestation in apparently uncomplicated monochorionic-diamniotic twin pregnancies. This cohort was divided into: (i) patients who were subsequently diagnosed with TTTS by using ultrasound; (ii) uncomplicated matched controls. Metabolome was profiled by using gas chromatography-mass spectrometry. RESULTS The levels of fatty acids, organic acids, oxaloacetic acid, and beta-alanine were significantly lower in the TTTS maternal plasma at 11-15 weeks of gestation, and methionine and glycine were also higher (p < 0.05, FDR<0.12). Generally, in TTTS pregnancies, the metabolisms of amino acid, carbohydrate, cofactors, vitamins, and purine were "down-regulated"; whereas bile secretion and pyrimidine metabolism were "upregulated." CONCLUSIONS The metabolomics scanning of early gestation maternal plasma may identify those pregnancies that subsequently develop TTTS; in particular, downregulated fatty acid levels may be biologically plausible to be implicated in the pathogenesis of TTTS.
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Affiliation(s)
- Yang Yang
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,International Collaborative Laboratory of Reproduction and Development, Ministry of Education, Chongqing Medical University, Chongqing, China.,State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Li Wen
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,International Collaborative Laboratory of Reproduction and Development, Ministry of Education, Chongqing Medical University, Chongqing, China.,State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Ting-Li Han
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,International Collaborative Laboratory of Reproduction and Development, Ministry of Education, Chongqing Medical University, Chongqing, China.,State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Lan Zhang
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,International Collaborative Laboratory of Reproduction and Development, Ministry of Education, Chongqing Medical University, Chongqing, China.,State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Huijia Fu
- Department of Reproduction Health and Infertility, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jie Gan
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,International Collaborative Laboratory of Reproduction and Development, Ministry of Education, Chongqing Medical University, Chongqing, China.,State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Richard Saffery
- Cancer, Disease and Developmental Epigenetics, Murdoch Children's Research Institute, Parkville, Victoria, Australia.,Department of Pediatrics, University of Melbourne, Parkville, Victoria, Australia
| | - Chao Tong
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,International Collaborative Laboratory of Reproduction and Development, Ministry of Education, Chongqing Medical University, Chongqing, China.,State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Junnan Li
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,International Collaborative Laboratory of Reproduction and Development, Ministry of Education, Chongqing Medical University, Chongqing, China.,State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hongbo Qi
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,International Collaborative Laboratory of Reproduction and Development, Ministry of Education, Chongqing Medical University, Chongqing, China.,State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Philip N Baker
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.,College of Life Sciences, University of Leicester, Leicester, UK
| | - Mark D Kilby
- Institute of Metabolism and System Research, University of Birmingham, Birmingham, UK.,Fetal Medicine Centre, Birmingham Women's & Children's Foundation Trust, Birmingham, UK
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22
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Harville EW, Li YY, Pan K, McRitchie S, Pathmasiri W, Sumner S. Untargeted analysis of first trimester serum to reveal biomarkers of pregnancy complications: a case-control discovery phase study. Sci Rep 2021; 11:3468. [PMID: 33568690 PMCID: PMC7876105 DOI: 10.1038/s41598-021-82804-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Accepted: 01/15/2021] [Indexed: 11/23/2022] Open
Abstract
Understanding of causal biology and predictive biomarkers are lacking for hypertensive disorders of pregnancy (HDP) and preterm birth (PTB). First-trimester serum specimens from 51 cases of HDP, including 18 cases of pre-eclampsia (PE) and 33 cases of gestational hypertension (GH); 53 cases of PTB; and 109 controls were obtained from the Global Alliance to Prevent Prematurity and Stillbirth repository. Metabotyping was conducted using liquid chromatography high resolution mass spectroscopy and nuclear magnetic resonance spectroscopy. Multivariable logistic regression was used to identify signals that differed between groups after controlling for confounders. Signals important to predicting HDP and PTB were matched to an in-house physical standards library and public databases. Pathway analysis was conducted using GeneGo MetaCore. Over 400 signals for endogenous and exogenous metabolites that differentiated cases and controls were identified or annotated, and models that included these signals produced substantial improvements in predictive power beyond models that only included known risk factors. Perturbations of the aminoacyl-tRNA biosynthesis, L-threonine, and renal secretion of organic electrolytes pathways were associated with both HDP and PTB, while pathways related to cholesterol transport and metabolism were associated with HDP. This untargeted metabolomics analysis identified signals and common pathways associated with pregnancy complications.
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Affiliation(s)
- E W Harville
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, Epidemiology #8318, 1440 Canal St. Ste. 2001, New Orleans, LA, 70112, USA.
| | - Y-Y Li
- Department of Nutrition, Nutrition Research Institute, University of North Carolina at Chapel Hill School of Public Health, CB#74612, Chapel Hill, NC, 27599-7461, USA
| | - K Pan
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, Epidemiology #8318, 1440 Canal St. Ste. 2001, New Orleans, LA, 70112, USA
| | - S McRitchie
- Department of Nutrition, Nutrition Research Institute, University of North Carolina at Chapel Hill School of Public Health, CB#74612, Chapel Hill, NC, 27599-7461, USA
| | - W Pathmasiri
- Department of Nutrition, Nutrition Research Institute, University of North Carolina at Chapel Hill School of Public Health, CB#74612, Chapel Hill, NC, 27599-7461, USA
| | - S Sumner
- Department of Nutrition, Nutrition Research Institute, University of North Carolina at Chapel Hill School of Public Health, CB#74612, Chapel Hill, NC, 27599-7461, USA.
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23
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Liang L, Rasmussen MLH, Piening B, Shen X, Chen S, Röst H, Snyder JK, Tibshirani R, Skotte L, Lee NC, Contrepois K, Feenstra B, Zackriah H, Snyder M, Melbye M. Metabolic Dynamics and Prediction of Gestational Age and Time to Delivery in Pregnant Women. Cell 2021; 181:1680-1692.e15. [PMID: 32589958 PMCID: PMC7327522 DOI: 10.1016/j.cell.2020.05.002] [Citation(s) in RCA: 145] [Impact Index Per Article: 48.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Revised: 03/11/2020] [Accepted: 04/29/2020] [Indexed: 01/10/2023]
Abstract
Metabolism during pregnancy is a dynamic and precisely programmed process, the failure of which can bring devastating consequences to the mother and fetus. To define a high-resolution temporal profile of metabolites during healthy pregnancy, we analyzed the untargeted metabolome of 784 weekly blood samples from 30 pregnant women. Broad changes and a highly choreographed profile were revealed: 4,995 metabolic features (of 9,651 total), 460 annotated compounds (of 687 total), and 34 human metabolic pathways (of 48 total) were significantly changed during pregnancy. Using linear models, we built a metabolic clock with five metabolites that time gestational age in high accordance with ultrasound (R = 0.92). Furthermore, two to three metabolites can identify when labor occurs (time to delivery within two, four, and eight weeks, AUROC ≥ 0.85). Our study represents a weekly characterization of the human pregnancy metabolome, providing a high-resolution landscape for understanding pregnancy with potential clinical utilities. Weekly metabolome of maternal blood changes dynamically through healthy pregnancy A metabolic clock of five blood metabolites accurately predicts gestational age Two to three metabolites identify labor onset within two, four, and eight weeks Women with metabolic clocks that outpaced ultrasound evaluation tend to deliver earlier
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Affiliation(s)
- Liang Liang
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | | | - Brian Piening
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Xiaotao Shen
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Songjie Chen
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Hannes Röst
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - John K Snyder
- Department of Chemistry and the Chemical Instrumentation Center, Boston University, Boston, Massachusetts 02215, USA
| | - Robert Tibshirani
- Department of Statistics and Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Line Skotte
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, 2300, Denmark
| | - Norman Cy Lee
- Department of Chemistry and the Chemical Instrumentation Center, Boston University, Boston, Massachusetts 02215, USA
| | - Kévin Contrepois
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Bjarke Feenstra
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, 2300, Denmark
| | - Hanyah Zackriah
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Michael Snyder
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.
| | - Mads Melbye
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, 2300, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, 2200, Denmark; Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
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24
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Scott HD, Buchan M, Chadwick C, Field CJ, Letourneau N, Montina T, Leung BMY, Metz GAS. Metabolic dysfunction in pregnancy: Fingerprinting the maternal metabolome using proton nuclear magnetic resonance spectroscopy. Endocrinol Diabetes Metab 2021; 4:e00201. [PMID: 33532625 PMCID: PMC7831222 DOI: 10.1002/edm2.201] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2020] [Revised: 09/30/2020] [Accepted: 10/24/2020] [Indexed: 12/28/2022] Open
Abstract
Aims Maternal metabolic disorders place the mother at risk for negative pregnancy outcomes with potentially long-term health impacts for the child. Metabolic syndrome, a cluster of features associated with increased risk of metabolic disorders, such as cardiovascular disease, diabetes and stroke, affects roughly one in five Canadians. Metabolomics is a relatively new technique that may be a useful tool to identify women at risk of metabolic disorders. This study set out to characterize urinary metabolic biomarkers of pregnant women with obesity and of pregnant women who later developed gestational diabetes mellitus (pre-GDM), compared to controls. Methods and Materials Second trimester urine samples were collected through the Alberta Pregnancy Outcomes and Nutrition (APrON) cohort and examined with 1H nuclear magnetic resonance (NMR) spectroscopy. Multivariate analysis was used to examine group differences, and machine learning feature selection tools identified the metabolites contributing to separation. Results Obesity and pre-GDM metabolomes were distinct from controls and from each other. In each comparison, the glycine, serine and threonine pathways were the most impacted. Pantothenate, formic acid and glycine were downregulated by obesity, while formic acid, dimethylamine and galactose were downregulated in pre-GDM. The three most impacted metabolites for the comparison of obesity versus pre-GDM groups were upregulated creatine/caffeine, downregulated sarcosine/dimethylamine and upregulated maltose/sucrose in individuals who later developed GDM. Conclusion These findings suggest a role for urinary metabolomics in the prediction of GDM and metabolic marker identification for potential diagnostics and prognostics in women at risk.
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Affiliation(s)
- Hannah D. Scott
- Canadian Centre for Behavioural NeuroscienceDepartment of NeuroscienceUniversity of LethbridgeLethbridgeABCanada
| | - Marrissa Buchan
- Canadian Centre for Behavioural NeuroscienceDepartment of NeuroscienceUniversity of LethbridgeLethbridgeABCanada
- Department of Chemistry and BiochemistryUniversity of LethbridgeLethbridgeABCanada
| | - Caylin Chadwick
- Canadian Centre for Behavioural NeuroscienceDepartment of NeuroscienceUniversity of LethbridgeLethbridgeABCanada
| | - Catherine J. Field
- Department of Agriculture, Food and Nutritional ScienceUniversity of AlbertaEdmontonABCanada
| | - Nicole Letourneau
- Faculty of Nursing and Cumming School of MedicineUniversity of CalgaryCalgaryABCanada
| | - Tony Montina
- Department of Chemistry and BiochemistryUniversity of LethbridgeLethbridgeABCanada
- Southern Alberta Genome Sciences CentreUniversity of LethbridgeLethbridgeABCanada
| | - Brenda M. Y. Leung
- Public Health ProgramFaculty of Health SciencesUniversity of LethbridgeLethbridgeABCanada
| | - Gerlinde A. S. Metz
- Canadian Centre for Behavioural NeuroscienceDepartment of NeuroscienceUniversity of LethbridgeLethbridgeABCanada
- Southern Alberta Genome Sciences CentreUniversity of LethbridgeLethbridgeABCanada
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25
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Mayrink J, Leite DFB, Costa ML, Cecatti JG. Metabolomics for prediction of hypertension in pregnancy: a systematic review and meta-analysis protocol. BMJ Open 2020; 10:e040652. [PMID: 33376166 PMCID: PMC7778786 DOI: 10.1136/bmjopen-2020-040652] [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: 05/19/2020] [Revised: 11/23/2020] [Accepted: 12/03/2020] [Indexed: 11/04/2022] Open
Abstract
INTRODUCTION Hypertension is a very important cause of maternal morbidity and mortality worldwide, despite efforts on prevention. The lack of a tool to provide effective and early prediction of hypertension for a high-risk group may contribute to improving maternal and fetal outcomes. Metabolomics has figured out as a promised technology to contribute to the improvement of hypertension in pregnancy prediction. METHODS AND ANALYSIS Our primary outcome is hypertensive disorders of pregnancy. A detailed systematic literature search will be performed in electronic databases PubMed, EMBASE, Scopus, Web of Science, Latin America and Caribbean Health Sciences Literature, Scientific Electronic Library Online, Health Technology Assessment and Database of Abstracts of Reviews of Effects using controlled terms 'pre-eclampsia', 'hypertensive disorders', 'metabolomics' and 'prediction' (and their variations). Studies from the latest 20 years will be included, except case reports, reviews, cross-sectional studies, letter to editors, expert opinions, commentaries papers or non-human research. If possible, we will perform a meta-analysis. Two peer-reviewers will independently perform the search and in cases of discordance, a third reviewer will be consulted. ETHICS AND DISSEMINATION As a systematic review, ethics approval is not required. The results of this review will present the current use and performance of metabolomics for predicting gestational hypertension. Such data could potentially guide future studies and interventions to improve existing prediction models. PROSPERO REGISTRATION NUMBER CRD42018097409.
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Affiliation(s)
- Jussara Mayrink
- Department of Gynecology and Obstetrics, State University of Campinas, Campinas, Brazil
| | - Debora Farias Batista Leite
- Department of Gynecology and Obstetrics, State University of Campinas, Campinas, Brazil
- Department of Maternal and Child Health, Federal University of Pernambuco, Recife, Brazil
| | - Maria Laura Costa
- Department of Gynecology and Obstetrics, State University of Campinas, Campinas, Brazil
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26
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Qi D, Ma C, Wang W, Zhang L, Li J. Gas Chromatography-Mass Spectrometry Analysis as a Tool to Reveal Differences Between the Volatile Compound Profile of Royal Jelly Produced from Tea and Pagoda Trees. FOOD ANAL METHOD 2020. [DOI: 10.1007/s12161-020-01880-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
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27
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Lee SM, Kang Y, Lee EM, Jung YM, Hong S, Park SJ, Park CW, Norwitz ER, Lee DY, Park JS. Metabolomic biomarkers in midtrimester maternal plasma can accurately predict the development of preeclampsia. Sci Rep 2020; 10:16142. [PMID: 32999354 PMCID: PMC7527521 DOI: 10.1038/s41598-020-72852-4] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Accepted: 09/01/2020] [Indexed: 01/08/2023] Open
Abstract
Early identification of patients at risk of developing preeclampsia (PE) would allow providers to tailor their prenatal management and adopt preventive strategies, such as low-dose aspirin. Nevertheless, no mid-trimester biomarkers have as yet been proven useful for prediction of PE. This study investigates the ability of metabolomic biomarkers in mid-trimester maternal plasma to predict PE. A case–control study was conducted including 33 pregnant women with mid-trimester maternal plasma (gestational age [GA], 16–24 weeks) who subsequently developed PE and 66 GA-matched controls with normal outcomes (mid-trimester cohort). Plasma samples were comprehensively profiled for primary metabolic and lipidomic signatures based on gas chromatography time-of-flight mass spectrometry (GC-TOF MS) and liquid chromatography Orbitrap mass spectrometry (LC-Orbitrap MS). A potential biomarker panel was computed based on binary logistic regression and evaluated using receiver operating characteristic (ROC) analysis. To evaluate whether this panel can be also used in late pregnancy, a retrospective cohort study was conducted using plasma collected from women who delivered in the late preterm period because of PE (n = 13) or other causes (n = 21) (at-delivery cohort). Metabolomic biomarkers were compared according to the indication for delivery. Performance of the metabolomic panel to identify patients with PE was compared also to a commonly used standard, the plasma soluble fms-like tyrosine kinase-1/placental growth factor (sFlt-1/PlGF) ratio. In the mid-trimester cohort, a total of 329 metabolites were identified and semi-quantified in maternal plasma using GC-TOF MS and LC-Orbitrap-MS. Binary logistic regression analysis proposed a mid-trimester biomarker panel for the prediction of PE with five metabolites (SM C28:1, SM C30:1, LysoPC C19:0, LysoPE C20:0, propane-1,3-diol). This metabolomic model predicted PE better than PlGF (AUC [95% CI]: 0.868 [0.844–0.891] vs 0.604 [0.485–0.723]) and sFlt-1/PlGF ratio. Analysis of plasma from the at-delivery cohort confirmed the ability of this biomarker panel to distinguish PE from non-PE, with comparable discrimination power to that of the sFlt-1/PlGF ratio. In conclusion, an integrative metabolomic biomarker panel in mid-trimester maternal plasma can accurately predict the development of PE and showed good discriminatory power in patients with PE at delivery.
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Affiliation(s)
- Seung Mi Lee
- Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, 03080, Korea
| | - Yujin Kang
- Department of Agricultural Biotechnology, Center for Food and Bioconvergence, Research Institute for Agricultural and Life Sciences, Seoul National University, Seoul, 08826, Korea
| | - Eun Mi Lee
- Department of Agricultural Biotechnology, Center for Food and Bioconvergence, Research Institute for Agricultural and Life Sciences, Seoul National University, Seoul, 08826, Korea
| | - Young Mi Jung
- Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, 03080, Korea
| | - Subeen Hong
- Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, 03080, Korea
| | - Soo Jin Park
- Department of Agricultural Biotechnology, Center for Food and Bioconvergence, Research Institute for Agricultural and Life Sciences, Seoul National University, Seoul, 08826, Korea
| | - Chan-Wook Park
- Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, 03080, Korea
| | - Errol R Norwitz
- Department of Obstetrics and Gynecology, Tufts University School of Medicine, Boston, MA, USA
| | - Do Yup Lee
- Department of Agricultural Biotechnology, Center for Food and Bioconvergence, Research Institute for Agricultural and Life Sciences, Seoul National University, Seoul, 08826, Korea.
| | - Joong Shin Park
- Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, 03080, Korea.
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28
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Gas chromatography-mass spectrometry untargeted profiling of non-Hodgkin's lymphoma urinary metabolite markers. Anal Bioanal Chem 2020; 412:7469-7480. [PMID: 32897412 DOI: 10.1007/s00216-020-02881-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 07/08/2020] [Accepted: 08/13/2020] [Indexed: 12/12/2022]
Abstract
Non-Hodgkin's lymphoma (NHL) is a cancer of the lymphatic system where the lymphoid and hematopoietic tissues are infiltrated by malignant neoplasms of B, T, and natural killer lymphocytes. Effective and less invasive methods for NHL screening are urgently needed. Herein, we report an untargeted gas chromatography-mass spectrometry (GC-MS) method to investigate metabolic changes in non-volatile derivatized compounds from urine samples of NHL patients (N = 15) and compare them to healthy controls (N = 34). Uni- and multivariate data analysis showed 18 endogenous metabolites, including amino acids and their metabolites, sugars, small organic acids, and vitamins, as statistically significant for group differentiation. A receiver operating characteristic curve (ROC) generated from a support vector machine (SVM) algorithm-based model achieved 0.998 of predictive accuracy, displaying the potential and relevance of GC-MS-detected urinary non-volatile compounds for predictive purposes. Furthermore, a specific panel of key metabolites was also evaluated, showing similar results. All in all, our results indicate that this robust GC-MS method is an effective screening tool for NHL diagnosis and it is able to highlight different pathways of the disease. Graphical Abstract.
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29
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Kyozuka H, Fukuda T, Murata T, Endo Y, Kanno A, Yasuda S, Yamaguchi A, Ono M, Sato A, Hashimoto K, Fujimori K. Comprehensive metabolomic analysis of first-trimester serum identifies biomarkers of early-onset hypertensive disorder of pregnancy. Sci Rep 2020; 10:13857. [PMID: 32807817 PMCID: PMC7431422 DOI: 10.1038/s41598-020-70974-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Accepted: 08/04/2020] [Indexed: 12/27/2022] Open
Abstract
Hypertensive disorders of pregnancy (HDP) lead to the death of approximately 30,000 women annually, and the identification of biomarkers to predict their onset before symptom occurrence is crucial. Here, we aimed to identify the first-trimester maternal serum biomarkers for predicting early-onset HDP via a comprehensive metabolomic analysis. This study was conducted by the Fukushima Regional Center as an adjunct study to the Japan Environment and Children’s Study. The study comprised 12 patients with early-onset HDP and 12 control subjects with healthy pregnancy whose medical background information was matched with that of the patients by propensity-score matching. Capillary electrophoresis and mass spectrometry-based quantitative analysis of charged metabolites were performed with the first-trimester maternal serum samples. Welch’s t-test was used to analyse metabolite peak areas in the two groups. A total of 166 charged metabolites were identified. The peak area of N-dimethylglycine and S-methylcysteine was significantly higher in the first-trimester serum of patients with early-onset HDP than in the controls. Conversely, the peak area of munic acid was significantly decreased in the serum of patients with early-onset HDP. Although we identified potential biomarkers for the prediction and diagnosis of early-onset HDP, no clear marker was identified because of a low statistical power.
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Affiliation(s)
- Hyo Kyozuka
- Department of Obstetrics and Gynecology, School of Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima, 960-1295, Japan. .,Fukushima Regional Center for the Japan Environmental and Children's Study, 1, Hikarigaoka, Fukushima, 960-1295, Japan.
| | - Toma Fukuda
- Department of Obstetrics and Gynecology, School of Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima, 960-1295, Japan.,Fukushima Regional Center for the Japan Environmental and Children's Study, 1, Hikarigaoka, Fukushima, 960-1295, Japan
| | - Tsuyoshi Murata
- Department of Obstetrics and Gynecology, School of Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima, 960-1295, Japan.,Fukushima Regional Center for the Japan Environmental and Children's Study, 1, Hikarigaoka, Fukushima, 960-1295, Japan
| | - Yuta Endo
- Department of Obstetrics and Gynecology, School of Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima, 960-1295, Japan
| | - Aya Kanno
- Department of Obstetrics and Gynecology, School of Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima, 960-1295, Japan
| | - Shun Yasuda
- Department of Obstetrics and Gynecology, School of Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima, 960-1295, Japan
| | - Akiko Yamaguchi
- Department of Obstetrics and Gynecology, School of Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima, 960-1295, Japan.,Fukushima Regional Center for the Japan Environmental and Children's Study, 1, Hikarigaoka, Fukushima, 960-1295, Japan
| | - Miho Ono
- Department of Obstetrics and Gynecology, School of Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima, 960-1295, Japan
| | - Akiko Sato
- Fukushima Regional Center for the Japan Environmental and Children's Study, 1, Hikarigaoka, Fukushima, 960-1295, Japan
| | - Koichi Hashimoto
- Fukushima Regional Center for the Japan Environmental and Children's Study, 1, Hikarigaoka, Fukushima, 960-1295, Japan
| | - Keiya Fujimori
- Department of Obstetrics and Gynecology, School of Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima, 960-1295, Japan.,Fukushima Regional Center for the Japan Environmental and Children's Study, 1, Hikarigaoka, Fukushima, 960-1295, Japan
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Ferranti EP, Frediani JK, Mitchell R, Fernandes J, Li S, Jones DP, Corwin E, Dunlop AL. Early Pregnancy Serum Metabolite Profiles Associated with Hypertensive Disorders of Pregnancy in African American Women: A Pilot Study. J Pregnancy 2020; 2020:1515321. [PMID: 32148965 PMCID: PMC7049834 DOI: 10.1155/2020/1515321] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Revised: 12/20/2019] [Accepted: 12/24/2019] [Indexed: 12/19/2022] Open
Abstract
Hypertensive disorders of pregnancy (HDP) are the most common cardiometabolic complications of pregnancy, affecting nearly 10% of US pregnancies and contributing substantially to maternal and infant morbidity and mortality. In the US, women of African American race are at increased risk for HDP. Early biomarkers that reliably identify women at risk for HDP remain elusive, yet are essential for the early identification and targeting of interventions to improve maternal and infant outcomes. We employed high-resolution metabolomics (HRM) to identify metabolites and metabolic pathways that were altered in early (8-14 weeks) gestation serum samples of pregnant African American women who developed HDP after 20 weeks' gestation (n = 20)-either preeclampsia (PE; n = 11) or gestational hypertension (gHTN; n = 9)-compared to those who delivered full term without complications (n = 80). We found four metabolic pathways that were significantly (p < 0.05) altered in women who developed PE and five pathways that were significantly (p < 0.05) altered in women who developed gHTN compared to women who delivered full term without complications. We also found that four specific metabolites (p < 0.05) were distinctly upregulated (retinoate, kynurenine) or downregulated (SN-glycero-3-phosphocholine, 2'4'-dihydroxyacetophenone) in women who developed PE compared to gHTN. These findings support that there are systemic metabolic disruptions that are detectable in early pregnancy (8-14 weeks of gestation) among pregnant African American women who develop PE and gHTN. Furthermore, the early pregnancy metabolic disruptions associated with PE and gHTN are distinct, implying they are unique entities rather than conditions along a spectrum of the same disease process despite the common clinical feature of high blood pressure.
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Affiliation(s)
- Erin P. Ferranti
- Nell Hodgson Woodruff School of Nursing, Emory University, 1520 Clifton Road, Rm 436, Atlanta, GA 30322, USA
| | - Jennifer K. Frediani
- Nell Hodgson Woodruff School of Nursing, Emory University, 1520 Clifton Road, Rm 436, Atlanta, GA 30322, USA
| | - Rebecca Mitchell
- Nell Hodgson Woodruff School of Nursing, Department of Computer Science, Emory University, 1520 Clifton Road, Rm 436, Atlanta, GA 30322, USA
| | - Jolyn Fernandes
- Department of Medicine, Emory University, 1520 Clifton Road, Rm 436, Atlanta, GA 30322, USA
| | - Shuzhao Li
- Department of Medicine, Emory University, 1520 Clifton Road, Rm 436, Atlanta, GA 30322, USA
| | - Dean P. Jones
- Department of Medicine, Emory University, 1520 Clifton Road, Rm 436, Atlanta, GA 30322, USA
| | - Elizabeth Corwin
- Nell Hodgson Woodruff School of Nursing, Emory University, 1520 Clifton Road, Rm 436, Atlanta, GA 30322, USA
| | - Anne L. Dunlop
- Nell Hodgson Woodruff School of Nursing, Emory University, 1520 Clifton Road, Rm 436, Atlanta, GA 30322, USA
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Niemuth JN, Harms CA, Macdonald JM, Stoskopf MK. NMR-based metabolomic profile of cold stun syndrome in loggerhead Caretta caretta, green Chelonia mydas and Kemp's ridley Lepidochelys kempii sea turtles in North Carolina, USA. WILDLIFE BIOLOGY 2020. [DOI: 10.2981/wlb.00587] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Affiliation(s)
| | - Craig A. Harms
- MKS and C. A. Harms: Center for Marine Sciences and Technology, North Carolina State Univ., Morehead City, NC, USA
| | - Jeffrey M. Macdonald
- J. M. Macdonald and M. K. Stoskopf, Environmental Medicine Consortium, North Carolina State Univ., Raleigh, NC, USA
| | - Michael K. Stoskopf
- J. M. Macdonald and M. K. Stoskopf, Environmental Medicine Consortium, North Carolina State Univ., Raleigh, NC, USA
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Abstract
Preeclampsia is a medical condition affecting 5-10% of pregnancies. It has serious effects on the health of the pregnant mother and developing fetus. While possible causes of preeclampsia are speculated, there is no consensus on its etiology. The advancement of big data and high-throughput technologies enables to study preeclampsia at the new and systematic level. In this review, we first highlight the recent progress made in the field of preeclampsia research using various omics technology platforms, including epigenetics, genome-wide association studies (GWAS), transcriptomics, proteomics and metabolomics. Next, we integrate the results in individual omic level studies, and show that despite the lack of coherent biomarkers in all omics studies, inhibin is a potential preeclamptic biomarker supported by GWAS, transcriptomics and DNA methylation evidence. Using network analysis on the biomarkers of all the literature reviewed here, we identify four striking sub-networks with clear biological functions supported by previous molecular-biology and clinical observations. In summary, omics integration approach offers the promise to understand molecular mechanisms in preeclampsia.
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Carlson NS, Frediani JK, Corwin EJ, Dunlop A, Jones D. Metabolomic Pathways Predicting Labor Dystocia by Maternal Body Mass Index. AJP Rep 2020; 10:e68-e77. [PMID: 32140295 PMCID: PMC7056397 DOI: 10.1055/s-0040-1702928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Accepted: 12/20/2019] [Indexed: 11/25/2022] Open
Abstract
Objectives The purpose of this study was to evaluate the metabolic pathways activated in the serum of African-American women during late pregnancy that predicted term labor dystocia. Study Design Matched case-control study ( n = 97; 48 cases of term labor dystocia and 49 normal labor progression controls) with selection based on body mass index (BMI) at hospital admission and maternal age. Late pregnancy serum samples were analyzed using ultra-high-resolution metabolomics. Differentially expressed metabolic features and pathways between cases experiencing term labor dystocia and normal labor controls were evaluated in the total sample, among women who were obese at the time of labor (BMI ≥ 30 kg/m2), and among women who were not obese. Results Labor dystocia was predicted by different metabolic pathways in late pregnancy serum among obese (androgen/estrogen biosynthesis) versus nonobese African-American women (fatty acid activation, steroid hormone biosynthesis, bile acid biosynthesis, glycosphingolipid metabolism). After adjusting for maternal BMI and age in the total sample, labor dystocia was predicted by tryptophan metabolic pathways in addition to C21 steroid hormone, glycosphingolipid, and androgen/estrogen metabolism. Conclusion Metabolic pathways consistent with lipotoxicity, steroid hormone production, and tryptophan metabolism in late pregnancy serum were significantly associated with term labor dystocia in African-American women.
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Affiliation(s)
- Nicole S. Carlson
- Emory University Nell Hodgson Woodruff School of Nursing, Atlanta, Georgia
| | | | - Elizabeth J. Corwin
- Department of Physiology, Columbia University School of Nursing, New York, New York
| | - Anne Dunlop
- Departments of Family and Preventive Medicine, Epidemiology, and Nursing, Emory University, Atlanta, Georgia
| | - Dean Jones
- Division of Pulmonary, Allergy, and Critical Care, Department of Medicine, Emory University, Atlanta, Georgia
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Sander KN, Kim DH, Ortori CA, Warren AY, Anyanwagu UC, Hay DP, Broughton Pipkin F, Khan RN, Barrett DA. Untargeted analysis of plasma samples from pre-eclamptic women reveals polar and apolar changes in the metabolome. Metabolomics 2019; 15:157. [PMID: 31773355 PMCID: PMC6879453 DOI: 10.1007/s11306-019-1600-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Accepted: 09/27/2019] [Indexed: 11/30/2022]
Abstract
INTRODUCTION Pre-eclampsia is a hypertensive gestational disorder that affects approximately 5% of all pregnancies. OBJECTIVES As the pathophysiological processes of pre-eclampsia are still uncertain, the present case-control study explored underlying metabolic processes characterising this disease. METHODS Maternal peripheral plasma samples were collected from pre-eclamptic (n = 32) and healthy pregnant women (n = 35) in the third trimester. After extraction, high-resolution mass spectrometry-based untargeted metabolomics was used to profile polar and apolar metabolites and the resulting data were analysed via uni- and multivariate statistical approaches. RESULTS The study demonstrated that the metabolome undergoes substantial changes in pre-eclamptic women. Amongst the most discriminative metabolites were hydroxyhexacosanoic acid, diacylglycerols, glycerophosphoinositols, nicotinamide adenine dinucleotide metabolites, bile acids and products of amino acid metabolism. CONCLUSIONS The putatively identified compounds provide sources for novel hypotheses to help understanding of the underlying biochemical pathology of pre-eclampsia.
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Affiliation(s)
- Katrin N Sander
- Division of Medical Science and Graduate Entry Medicine, School of Medicine, University of Nottingham, Royal Derby Hospital, Uttoxeter Road, Derby, DE22 3DT, UK
- Centre for Analytical Bioscience, School of Pharmacy, University of Nottingham, Nottingham, NG7 2RD, UK
| | - Dong-Hyun Kim
- Centre for Analytical Bioscience, School of Pharmacy, University of Nottingham, Nottingham, NG7 2RD, UK
| | - Catharine A Ortori
- Centre for Analytical Bioscience, School of Pharmacy, University of Nottingham, Nottingham, NG7 2RD, UK
| | - Averil Y Warren
- Division of Medical Science and Graduate Entry Medicine, School of Medicine, University of Nottingham, Royal Derby Hospital, Uttoxeter Road, Derby, DE22 3DT, UK
| | - Uchenna C Anyanwagu
- Division of Medical Science and Graduate Entry Medicine, School of Medicine, University of Nottingham, Royal Derby Hospital, Uttoxeter Road, Derby, DE22 3DT, UK
| | - Daniel P Hay
- Division of Medical Science and Graduate Entry Medicine, School of Medicine, University of Nottingham, Royal Derby Hospital, Uttoxeter Road, Derby, DE22 3DT, UK
| | - Fiona Broughton Pipkin
- Division of Child Health, Obstetrics & Gynaecology, School of Medicine, University of Nottingham, City Hospital, Nottingham, NG5 1PB, UK
| | - Raheela N Khan
- Division of Medical Science and Graduate Entry Medicine, School of Medicine, University of Nottingham, Royal Derby Hospital, Uttoxeter Road, Derby, DE22 3DT, UK.
| | - David A Barrett
- Centre for Analytical Bioscience, School of Pharmacy, University of Nottingham, Nottingham, NG7 2RD, UK
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35
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Handelman SK, Romero R, Tarca AL, Pacora P, Ingram B, Maymon E, Chaiworapongsa T, Hassan SS, Erez O. The plasma metabolome of women in early pregnancy differs from that of non-pregnant women. PLoS One 2019; 14:e0224682. [PMID: 31726468 PMCID: PMC6855901 DOI: 10.1371/journal.pone.0224682] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Accepted: 10/18/2019] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND In comparison to the non-pregnant state, the first trimester of pregnancy is characterized by systemic adaptation of the mother. The extent to which these adaptive processes are reflected in the maternal blood metabolome is not well characterized. OBJECTIVE To determine the differences between the plasma metabolome of non-pregnant and pregnant women before 16 weeks gestation. STUDY DESIGN This study included plasma samples from 21 non-pregnant women and 50 women with a normal pregnancy (8-16 weeks of gestation). Combined measurements by ultrahigh performance liquid chromatography/tandem mass spectrometry and by gas chromatography/mass spectrometry generated molecular abundance measurements for each sample. Molecular species detected in at least 10 samples were included in the analysis. Differential abundance was inferred based on false discovery adjusted p-values (FDR) from Mann-Whitney-Wilcoxon U tests <0.1 and a minimum median abundance ratio (fold change) of 1.5. Alternatively, metabolic data were quantile normalized to remove sample-to-sample differences in the overall metabolite abundance (adjusted analysis). RESULTS Overall, 637 small molecules met the inclusion criteria and were tested for association with pregnancy; 44% (281/637) of small molecules had significantly different abundance, of which 81% (229/281) were less abundant in pregnant than in non-pregnant women. Eight percent (14/169) of the metabolites that remained significant in the adjusted analysis also changed as a function of gestational age. A pathway analysis revealed enrichment in steroid metabolites related to sex hormones, caffeine metabolites, lysolipids, dipeptides, and polypeptide bradykinin derivatives (all, FDR < 0.1). CONCLUSIONS This high-throughput mass spectrometry study identified: 1) differences between pregnant vs. non-pregnant women in the abundance of 44% of the profiled plasma metabolites, including known and novel molecules and pathways; and 2) specific metabolites that changed with gestational age.
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Affiliation(s)
- Samuel K. Handelman
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Roberto Romero
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, Michigan, United States of America
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan, United States of America
- Center for Molecular Medicine and Genetics, Wayne State University, Detroit, Michigan, United States of America
- Detroit Medical Center, Detroit, Michigan, United States of America
| | - Adi L. Tarca
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
- Department of Computer Science, Wayne State University College of Engineering, Detroit, Michigan, United States of America
| | - Percy Pacora
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Brian Ingram
- Metabolon Inc., Raleigh-Durham, North Carolina, United States of America
| | - Eli Maymon
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Soroka University Medical Center, School of Medicine, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Tinnakorn Chaiworapongsa
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Sonia S. Hassan
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
- Department of Physiology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Offer Erez
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
- Maternity Department "D," Division of Obstetrics and Gynecology, Soroka University Medical Center, School of Medicine, Faculty of Health Sciences, Ben Gurion University of the Negev, Beer-Sheva, Israel
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Tarca AL, Romero R, Benshalom-Tirosh N, Than NG, Gudicha DW, Done B, Pacora P, Chaiworapongsa T, Panaitescu B, Tirosh D, Gomez-Lopez N, Draghici S, Hassan SS, Erez O. The prediction of early preeclampsia: Results from a longitudinal proteomics study. PLoS One 2019; 14:e0217273. [PMID: 31163045 PMCID: PMC6548389 DOI: 10.1371/journal.pone.0217273] [Citation(s) in RCA: 69] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Accepted: 05/08/2019] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVES To identify maternal plasma protein markers for early preeclampsia (delivery <34 weeks of gestation) and to determine whether the prediction performance is affected by disease severity and presence of placental lesions consistent with maternal vascular malperfusion (MVM) among cases. STUDY DESIGN This longitudinal case-control study included 90 patients with a normal pregnancy and 33 patients with early preeclampsia. Two to six maternal plasma samples were collected throughout gestation from each woman. The abundance of 1,125 proteins was measured using high-affinity aptamer-based proteomic assays, and data were modeled using linear mixed-effects models. After data transformation into multiples of the mean values for gestational age, parsimonious linear discriminant analysis risk models were fit for each gestational-age interval (8-16, 16.1-22, 22.1-28, 28.1-32 weeks). Proteomic profiles of early preeclampsia cases were also compared to those of a combined set of controls and late preeclampsia cases (n = 76) reported previously. Prediction performance was estimated via bootstrap. RESULTS We found that 1) multi-protein models at 16.1-22 weeks of gestation predicted early preeclampsia with a sensitivity of 71% at a false-positive rate (FPR) of 10%. High abundance of matrix metalloproteinase-7 and glycoprotein IIbIIIa complex were the most reliable predictors at this gestational age; 2) at 22.1-28 weeks of gestation, lower abundance of placental growth factor (PlGF) and vascular endothelial growth factor A, isoform 121 (VEGF-121), as well as elevated sialic acid binding immunoglobulin-like lectin 6 (siglec-6) and activin-A, were the best predictors of the subsequent development of early preeclampsia (81% sensitivity, FPR = 10%); 3) at 28.1-32 weeks of gestation, the sensitivity of multi-protein models was 85% (FPR = 10%) with the best predictors being activated leukocyte cell adhesion molecule, siglec-6, and VEGF-121; 4) the increase in siglec-6, activin-A, and VEGF-121 at 22.1-28 weeks of gestation differentiated women who subsequently developed early preeclampsia from those who had a normal pregnancy or developed late preeclampsia (sensitivity 77%, FPR = 10%); 5) the sensitivity of risk models was higher for early preeclampsia with placental MVM lesions than for the entire early preeclampsia group (90% versus 71% at 16.1-22 weeks; 87% versus 81% at 22.1-28 weeks; and 90% versus 85% at 28.1-32 weeks, all FPR = 10%); and 6) the sensitivity of prediction models was higher for severe early preeclampsia than for the entire early preeclampsia group (84% versus 71% at 16.1-22 weeks). CONCLUSION We have presented herein a catalogue of proteome changes in maternal plasma proteome that precede the diagnosis of preeclampsia and can distinguish among early and late phenotypes. The sensitivity of maternal plasma protein models for early preeclampsia is higher in women with underlying vascular placental disease and in those with a severe phenotype.
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Affiliation(s)
- Adi L. Tarca
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
- Department of Computer Science, Wayne State University College of Engineering, Detroit, Michigan, United States of America
| | - Roberto Romero
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, Michigan, United States of America
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan, United States of America
- Center for Molecular Medicine and Genetics, Wayne State University, Detroit, Michigan, United States of America
| | - Neta Benshalom-Tirosh
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Nandor Gabor Than
- Systems Biology of Reproduction Research Group, Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary
- First Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Hungary
- Maternity Clinic, Kutvolgyi Clinical Block, Semmelweis University, Budapest, Hungary
| | - Dereje W. Gudicha
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Bogdan Done
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
| | - Percy Pacora
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Tinnakorn Chaiworapongsa
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Bogdan Panaitescu
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Dan Tirosh
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Nardhy Gomez-Lopez
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
- C.S. Mott Center for Human Growth and Development, Wayne State University, Detroit, Michigan, United States of America
- Department of Biochemistry, Microbiology, and Immunology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Sorin Draghici
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
- Department of Computer Science, Wayne State University College of Engineering, Detroit, Michigan, United States of America
| | - Sonia S. Hassan
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
- Department of Physiology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Offer Erez
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
- Maternity Department "D," Division of Obstetrics and Gynecology, Soroka University Medical Center, School of Medicine, Faculty of Health Sciences, Ben Gurion University of the Negev, Beer-Sheva, Israel
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Wertaschnigg D, Reddy M, Mol BWJ, Rolnik DL, da Silva Costa F. Prenatal screening for pre-eclampsia: Frequently asked questions. Aust N Z J Obstet Gynaecol 2019; 59:477-483. [PMID: 31119729 PMCID: PMC6767595 DOI: 10.1111/ajo.12982] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2018] [Accepted: 03/22/2019] [Indexed: 12/29/2022]
Abstract
The current approach to screening for pre-eclampsia is based on guidelines that rely on medical and obstetric history in early pregnancy to select a high-risk group that might benefit from low-dose aspirin. However, combined screening tests with the addition of biophysical and biochemical measurements have shown significantly better detection rates for preterm pre-eclampsia. Furthermore, the administration of aspirin for the 10% screen-positive group can lead to a significant reduction in severe and preterm forms of pre-eclampsia. This review aims to answer frequently asked questions related to the clinical implementation of screening and the management of screening results.
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Affiliation(s)
- Dagmar Wertaschnigg
- Department of Obstetrics and Gynaecology, Monash University, Melbourne, Victoria, Australia.,Department of Obstetrics and Gynecology, Paracelsus Medical University, Salzburg, Austria
| | - Maya Reddy
- Department of Obstetrics and Gynaecology, Monash University, Melbourne, Victoria, Australia.,Monash Women's, Monash Health, Melbourne, Victoria, Australia
| | - Ben W J Mol
- Department of Obstetrics and Gynaecology, Monash University, Melbourne, Victoria, Australia.,Monash Women's, Monash Health, Melbourne, Victoria, Australia
| | - Daniel L Rolnik
- Department of Obstetrics and Gynaecology, Monash University, Melbourne, Victoria, Australia.,Monash Women's, Monash Health, Melbourne, Victoria, Australia
| | - Fabricio da Silva Costa
- Department of Obstetrics and Gynaecology, Monash University, Melbourne, Victoria, Australia.,Department of Gynecology and Obstetrics, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
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Delplancke TDJ, Wu Y, Han TL, Joncer LR, Qi H, Tong C, Baker PN. Metabolomics of Pregnancy Complications: Emerging Application of Maternal Hair. BIOMED RESEARCH INTERNATIONAL 2018; 2018:2815439. [PMID: 30662903 PMCID: PMC6312607 DOI: 10.1155/2018/2815439] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/20/2018] [Accepted: 11/18/2018] [Indexed: 02/01/2023]
Abstract
In recent years, the study of metabolomics has begun to receive increasing international attention, especially as it pertains to medical research. This is due in part to the potential for discovery of new biomarkers in the metabolome and to a new understanding of the "exposome", which refers to the endogenous and exogenous compounds that reflect external exposures. Consequently, metabolomics research into pregnancy-related issues has increased. Biomarkers discovered through metabolomics may shed some light on the etiology of certain pregnancy-related complications and their adverse effects on future maternal health and infant development and improve current clinical management. The discoveries and methods used in these studies will be compiled and summarized within the following paper. A further focus of this paper is the use of hair as a biological sample, which is gaining increasing attention across diverse fields due to its noninvasive sampling method and the metabolome stability. Its significance in exposome studies will be considered in this review, as well as the potential to associate exposures with adverse pregnancy outcomes. Currently, hair has been used in only two metabolomics studies relating to fetal growth restriction (FGR) and gestational diabetes mellitus (GDM).
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Affiliation(s)
- Thibaut D. J. Delplancke
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing 400016, China
- International Collaborative Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, Chongqing 400016, China
| | - Yue Wu
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing 400016, China
- International Collaborative Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, Chongqing 400016, China
| | - Ting-Li Han
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing 400016, China
- International Collaborative Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, Chongqing 400016, China
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Lingga R. Joncer
- International Collaborative Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, Chongqing 400016, China
| | - Hongbo Qi
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing 400016, China
- International Collaborative Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, Chongqing 400016, China
| | - Chao Tong
- Department of Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing 400016, China
- International Collaborative Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, Chongqing 400016, China
| | - Philip N. Baker
- International Collaborative Laboratory of Reproduction and Development of Chinese Ministry of Education, Chongqing Medical University, Chongqing 400016, China
- Liggins Institute, University of Auckland, Auckland, New Zealand
- College of Medicine, University of Leicester, Leicester LE1 7RH, UK
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Mayrink J, Costa ML, Cecatti JG. Preeclampsia in 2018: Revisiting Concepts, Physiopathology, and Prediction. ScientificWorldJournal 2018; 2018:6268276. [PMID: 30622442 PMCID: PMC6304478 DOI: 10.1155/2018/6268276] [Citation(s) in RCA: 74] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Revised: 11/05/2018] [Accepted: 11/22/2018] [Indexed: 12/13/2022] Open
Abstract
Preeclampsia currently remains one of the leading causes of death and severe maternal morbidity. Although its prevalence is still underestimated in some places due to underreporting, preeclampsia is a disease that health professionals need to know how to deal with and take action. For this reason, the studies about the theme remain along with the advances in their understanding that often implies improvement and change of concepts and conducts. The complexity of its etiology is a challenge and requires further studies for its full understanding. Apparently, poor adaptation of the maternal organism to the conceptus, marked by the nonoccurrence of changes in the uterine spiral arteries, determines a series of systemic repercussions that compound the various forms of preeclampsia presentation. In recent years, the use of acetylsalicylic acid to prevent cases of early onset of the disease has been consolidated and, alongside, studies have advanced the development of accessible and effective methods of identifying women at risk of preeclampsia. The aim of this review is to discuss updates on the occurrence, concept, pathophysiology, repercussion, prevention, and prediction of preeclampsia.
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Affiliation(s)
- J. Mayrink
- Obstetric Unit, Department of Obstetrics and Gynecology, School of Medical Sciences, University of Campinas, Campinas, Brazil
| | - M. L. Costa
- Obstetric Unit, Department of Obstetrics and Gynecology, School of Medical Sciences, University of Campinas, Campinas, Brazil
| | - J. G. Cecatti
- Obstetric Unit, Department of Obstetrics and Gynecology, School of Medical Sciences, University of Campinas, Campinas, Brazil
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Propylene Glycol in Free-Ranging Green Sea Turtle Plasma. JOURNAL OF FISH AND WILDLIFE MANAGEMENT 2018. [DOI: 10.3996/122017-jfwm-099] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Abstract
Metabolomics is the study of metabolites, the small-molecular-weight end products of metabolism. Propylene glycol is a synthetic diol commonly used as antifreeze, as a humectant, and in the production of polyester compounds. In otherwise healthy animals, propylene glycol has generally been considered a contaminant, iatrogenic, or unexplained. We demonstrate the presence of propylene glycol in plasma of free-ranging apparently healthy green sea turtles Chelonia mydas and individuals impacted by cold stun syndrome, without iatrogenic administration or known sample processing contamination, using one- and two-dimensional proton nuclear magnetic resonance spectroscopy techniques. There was not a statistically significant difference in relative propylene glycol concentration between the two cohorts (two-sided random sampling two-sample permutation test, P = 0.842, R = 1,000). The presence of this metabolite raises important questions about sea turtle physiology and potential latent environmental contamination and serves as a starting point for future characterization of lipid metabolism and glycolysis in green sea turtles.
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Abstract
Preeclampsia is a multifactorial disorder defined by hypertension and increased urinary protein excretion during pregnancy. It is a significant cause of maternal and neonatal deaths worldwide. Despite various research efforts to clarify pathogenies of preeclampsia and predict this disease before beginning of symptoms, the pathogenesis of preeclampsia is unclear. Early prediction and diagnosis of women at risk of preeclampsia has not markedly improved. Therefore, the objective of this study was to perform a review on metabolomic articles assessing predictive and diagnostic biomarkers of preeclampsia. Four electronic databases including PubMed/Medline, Web of Science, Sciencedirect, and Scopus were searched to identify studies of preeclampsia in humans using metabolomics from inception to March 2018. Twenty-one articles in a variety of biological specimens and analytical platforms were included in the present review. Metabolite profiles may assist in the diagnosis of preeclampsia and discrimination of its subtypes. Lipids and their related metabolites were the most generally detected metabolites. Although metabolomic biomarkers of preeclampsia are not routinely used, this review suggests that metabolomics has the potential to be developed into a clinical tool for preeclampsia diagnosis and could contribute to an improved understanding of disease mechanisms. ABBREVIATIONS PE: preeclampsia; sFlt-1: soluble FMS-like tyrosine kinase-1; PlGF: placental growth factor; GC-MS: gas chromatography-mass spectrometry; LC-MS: liquid chromatography-mass spectrometry; NMR: nuclear magnetic resonance spectroscopy; HMDB: human metabolome database; RCT: randomized control trial; e-PE: early-onset PE; l-PE: late-onset PE; PLS-DA: partial least-squares-discriminant analysis; CRL: crown-rump length; UtPI: uterine artery Doppler pulsatility index; BMI: body mass index; MAP: mean arterial pressure; OS: oxidative stress; PAPPA: plasma protein A; FTIR: Fourier transform infrared; BCAA: branched chain amino acids; Arg: arginine; NO: nitric oxide.
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Affiliation(s)
- B Fatemeh Nobakht M Gh
- a Department of Basic Medical Sciences , Neyshabur University of Medical Sciences , Neyshabur , Iran
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Eastabrook G, Aksoy T, Bedell S, Penava D, de Vrijer B. Preeclampsia biomarkers: An assessment of maternal cardiometabolic health. Pregnancy Hypertens 2018; 13:204-213. [PMID: 30177053 DOI: 10.1016/j.preghy.2018.06.005] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Revised: 05/09/2018] [Accepted: 06/09/2018] [Indexed: 12/15/2022]
Abstract
Preeclampsia is a serious pregnancy condition defined as new-onset hypertension and proteinuria, commonly characterized as either early, 'placental', or late onset, 'maternal', using a cut-off of 34 weeks gestation. However, it may be more useful to differentiate between the vascular remodelling and placental invasion vs. inflammation and metabolic pathophysiology that underlie these forms of preeclampsia. Due to rising rates of obesity, the late-onset, maternal form is increasingly occurring earlier in pregnancy. Predictive tests for preeclampsia typically include biophysical markers such as maternal body mass index and mean arterial pressure, indicating the importance of cardiovascular and metabolic health in its pathophysiology. In contrast, the placental, inflammatory, endothelial and/or metabolic biomarkers used in these tests are generally thought to indicate an abnormal response to placentation and predict the disease. However, many of these non-placental biomarkers are known to predict impaired metabolic health in non-pregnant subjects with obesity (metabolically unhealthy obesity) and coronary artery disease or stroke in people at risk for cardiovascular events. Similarities between the performance of these markers in the prediction of cardiovascular and metabolic health outside of pregnancy suggests that they may be more indicative of maternal health than predictive for preeclampsia. This paper reviews the biophysical and biochemical markers in preeclampsia prediction and compares their performance to tests assessing metabolic health and risk of cardiovascular disease, particularly in the obese population.
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Affiliation(s)
- Genevieve Eastabrook
- Department of Obstetrics and Gynaecology, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada; Children's Health Research Institute and Lawson Health Research Institute, London, Ontario, Canada.
| | - Tuba Aksoy
- Department of Obstetrics and Gynecology, Mackenzie Richmond Hill Hospital, Richmond Hill, Ontario, Canada.
| | - Samantha Bedell
- Department of Obstetrics and Gynaecology, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada.
| | - Debbie Penava
- Department of Obstetrics and Gynaecology, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada; Children's Health Research Institute and Lawson Health Research Institute, London, Ontario, Canada.
| | - Barbra de Vrijer
- Department of Obstetrics and Gynaecology, Schulich School of Medicine & Dentistry, The University of Western Ontario, London, Ontario, Canada; Children's Health Research Institute and Lawson Health Research Institute, London, Ontario, Canada.
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Powell KL, Carrozzi A, Stephens AS, Tasevski V, Morris JM, Ashton AW, Dona AC. Utility of metabolic profiling of serum in the diagnosis of pregnancy complications. Placenta 2018; 66:65-73. [PMID: 29884304 DOI: 10.1016/j.placenta.2018.04.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Revised: 03/21/2018] [Accepted: 04/08/2018] [Indexed: 01/07/2023]
Abstract
INTRODUCTION Currently there are no clinical screening tests available to identify pregnancies at risk of developing preeclampsia (PET) and/or intrauterine growth restriction (IUGR), both of which are associated with abnormal placentation. Metabolic profiling is now a stable analytical platform used in many laboratories and has successfully been used to identify biomarkers associated with various pathological states. METHODS We used nuclear magnetic resonance spectroscopy (NMR) to metabolically profile serum samples collected from 143 pregnant women at 26-41 weeks gestation with pregnancy outcomes of PET, IUGR, PET IUGR or small for gestational age (SGA) that were age-matched to normal pre/term pregnancies. RESULTS Spectral analysis found no difference in the measured metabolites from normal term, pre-term and SGA samples, and of 25 identified metabolites, only glutamate was marginally different between groups. Of the identified metabolites, 3-methylhistidine, creatinine, acetyl groups and acetate, were determined to be independent predictors of PET and produced area under the curves (AUC) = 0.938 and 0.936 for the discovery and validation sets. Only 3-hydroxybutyrate was determined to be an independent predictor of IUGR, however the model had low predictive power (AUC = 0.623 and 0.581 for the discovery and validation sets). CONCLUSIONS A sub-panel of metabolites had strong predictive power for identifying PET samples in a validation dataset, however prediction of IUGR was more difficult using the identified metabolites. NMR based metabolomics can identify metabolites strongly associated with disease and has the potential to be useful in developing early clinical screening tests for at risk pregnancies.
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Affiliation(s)
- Katie L Powell
- Division of Perinatal Research, Kolling Institute, Northern Sydney Local Health District, St Leonards, NSW, 2065, Australia; Sydney Medical School Northern, University of Sydney, NSW, 2006, Australia; Pathology North, NSW Health Pathology, Royal North Shore Hospital, St Leonards, NSW, 2065, Australia.
| | - Anthony Carrozzi
- Department of Cardiology, Kolling Institute, Northern Sydney Local Health District, St Leonards, NSW, 2065, Australia; Sydney Medical School Northern, University of Sydney, NSW, 2006, Australia
| | - Alexandre S Stephens
- Northern NSW Local Health District, Murwillumbah District Hospital, Murwillumbah, NSW, 2484, Australia; School of Public Health, Sydney Medical School, University of Sydney, NSW, 2006, Australia
| | - Vitomir Tasevski
- Division of Perinatal Research, Kolling Institute, Northern Sydney Local Health District, St Leonards, NSW, 2065, Australia; Pathology North, NSW Health Pathology, Royal North Shore Hospital, St Leonards, NSW, 2065, Australia
| | - Jonathan M Morris
- Division of Perinatal Research, Kolling Institute, Northern Sydney Local Health District, St Leonards, NSW, 2065, Australia; Sydney Medical School Northern, University of Sydney, NSW, 2006, Australia
| | - Anthony W Ashton
- Division of Perinatal Research, Kolling Institute, Northern Sydney Local Health District, St Leonards, NSW, 2065, Australia; Sydney Medical School Northern, University of Sydney, NSW, 2006, Australia
| | - Anthony C Dona
- Department of Cardiology, Kolling Institute, Northern Sydney Local Health District, St Leonards, NSW, 2065, Australia; Sydney Medical School Northern, University of Sydney, NSW, 2006, Australia
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Benton SJ, Ly C, Vukovic S, Bainbridge SA. Andrée Gruslin award lecture: Metabolomics as an important modality to better understand preeclampsia. Placenta 2017; 60 Suppl 1:S32-S40. [PMID: 27889063 DOI: 10.1016/j.placenta.2016.11.006] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/18/2016] [Revised: 11/04/2016] [Accepted: 11/14/2016] [Indexed: 02/04/2023]
Abstract
Preeclampsia (PE) is a complex disorder that affects 3-5% of all pregnancies and is a leading cause of maternal and fetal morbidity and mortality. To date, the heterogeneity of clinical presentation, disease severity and outcomes have limited significant advances in early prediction, diagnosis, and therapeutic intervention of PE. The rapidly expanding field of metabolomics, which has the capacity to quantitatively detect low molecular weight compounds (metabolites) in tissue and biological fluids, shows tremendous promise in gaining a better understanding of PE. This review will discuss this emerging field and its contribution to recent advances in the understanding of PE pathophysiology, and identification of early predictive metabolic biomarkers for this complex disorder.
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Affiliation(s)
- S J Benton
- Department of Cellular and Molecular Medicine, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - C Ly
- Department of Cellular and Molecular Medicine, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - S Vukovic
- Interdisciplinary School of Health Sciences, Faculty of Health Sciences, University of Ottawa, Ottawa, Canada
| | - S A Bainbridge
- Department of Cellular and Molecular Medicine, Faculty of Medicine, University of Ottawa, Ottawa, Canada; Interdisciplinary School of Health Sciences, Faculty of Health Sciences, University of Ottawa, Ottawa, Canada.
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Bahado-Singh RO, Lugade A, Field J, Al-Wahab Z, Han B, Mandal R, Bjorndahl TC, Turkoglu O, Graham SF, Wishart D, Odunsi K. Metabolomic prediction of endometrial cancer. Metabolomics 2017; 14:6. [PMID: 30830361 DOI: 10.1007/s11306-017-1290-z] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2017] [Accepted: 10/25/2017] [Indexed: 12/12/2022]
Abstract
INTRODUCTION Endometrial cancer (EC) is associated with metabolic disturbances including obesity, diabetes and metabolic syndrome. Identifying metabolite biomarkers for EC detection has a crucial role in reducing morbidity and mortality. OBJECTIVE To determine whether metabolomic based biomarkers can detect EC overall and early-stage EC. METHODS We performed NMR and mass spectrometry based metabolomic analyses of serum in EC cases versus controls. A total of 46 early-stage (FIGO stages I-II) and 10 late-stage (FIGO stages III-IV) EC cases constituted the study group. A total of 60 unaffected control samples were used. Patients and controls were divided randomly into a discovery group (n = 69) and an independent validation group (n = 47). Predictive algorithms based on biomarkers and demographic characteristics were generated using logistic regression analysis. RESULTS A total of 181 metabolites were evaluated. Extensive changes in metabolite levels were noted in the EC versus the control group. The combination of C14:2, phosphatidylcholine with acyl-alkyl residue sum C38:1 (PCae C38:1) and 3-hydroxybutyric acid had an area under the receiver operating characteristics curve (AUC) (95% CI) = 0.826 (0.706-0.946) and a sensitivity = 82.6%, and specificity = 70.8% for EC overall. For early EC prediction: BMI, C14:2 and PC ae C40:1 had an AUC (95% CI) = 0.819 (0.689-0.95) and a sensitivity = 72.2% and specificity = 79.2% in the validation group. CONCLUSIONS EC is characterized by significant perturbations in important cellular metabolites. Metabolites accurately detected early-stage EC cases and EC overall which could lead to the development of non-invasive biomarkers for earlier detection of EC and for monitoring disease recurrence.
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Affiliation(s)
- Ray O Bahado-Singh
- Department of Obstetrics and Gynecology, William Beaumont Health, Royal Oak, MI, 48073, USA.
| | - Amit Lugade
- Center for Immunotherapy, Roswell Park Cancer Institute, Buffalo, NY, USA
| | - Jayson Field
- Department of Gynecologic Oncology, William Beaumont Health, Royal Oak, MI, USA
| | - Zaid Al-Wahab
- Department of Gynecologic Oncology, William Beaumont Health, Royal Oak, MI, USA
| | - BeomSoo Han
- Departments of Biological Sciences, University of Alberta, Edmonton, AB, T6G 2E8, Canada
| | - Rupasri Mandal
- Departments of Biological Sciences, University of Alberta, Edmonton, AB, T6G 2E8, Canada
| | - Trent C Bjorndahl
- Departments of Biological Sciences, University of Alberta, Edmonton, AB, T6G 2E8, Canada
| | - Onur Turkoglu
- Department of Obstetrics and Gynecology, William Beaumont Health, Royal Oak, MI, 48073, USA
| | - Stewart F Graham
- Department of Obstetrics and Gynecology, William Beaumont Health, Royal Oak, MI, 48073, USA
| | - David Wishart
- Departments of Biological Sciences, University of Alberta, Edmonton, AB, T6G 2E8, Canada
- Department of Computing Sciences, University of Alberta, Edmonton, AB, T6G 2E8, Canada
| | - Kunle Odunsi
- Center for Immunotherapy, Roswell Park Cancer Institute, Buffalo, NY, USA
- Department of Gynecologic Oncology, Roswell Park Cancer Institute, Buffalo, NY, USA
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Integrated Proteomic and Metabolomic prediction of Term Preeclampsia. Sci Rep 2017; 7:16189. [PMID: 29170520 PMCID: PMC5700929 DOI: 10.1038/s41598-017-15882-9] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2017] [Accepted: 10/27/2017] [Indexed: 12/17/2022] Open
Abstract
Term preeclampsia (tPE), ≥37 weeks, is the most common form of PE and the most difficult to predict. Little is known about its pathogenesis. This study aims to elucidate the pathogenesis and assess early prediction of tPE using serial integrated metabolomic and proteomic systems biology approaches. Serial first- (11-14 weeks) and third-trimester (30-34 weeks) serum samples were analyzed using targeted metabolomic (1H NMR and DI-LC-MS/MS) and proteomic (MALDI-TOF/TOF-MS) platforms. We analyzed 35 tPE cases and 63 controls. Serial first- (sphingomyelin C18:1 and urea) and third-trimester (hexose and citrate) metabolite screening predicted tPE with an area under the receiver operating characteristic curve (AUC) (95% CI) = 0.817 (0.732-0.902) and a sensitivity of 81.6% and specificity of 71.0%. Serial first [TATA box binding protein-associated factor (TBP)] and third-trimester [Testis-expressed sequence 15 protein (TEX15)] protein biomarkers highly accurately predicted tPE with an AUC (95% CI) of 0.987 (0.961-1.000), sensitivity 100% and specificity 98.4%. Integrated pathway over-representation analysis combining metabolomic and proteomic data revealed significant alterations in signal transduction, G protein coupled receptors, serotonin and glycosaminoglycan metabolisms among others. This is the first report of serial integrated and combined metabolomic and proteomic analysis of tPE. High predictive accuracy and potentially important pathogenic information were achieved.
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Abstract
Hypertensive disorders in pregnancy have been the cause of much clinical dilemma, affecting up to 10 % of all pregnancies. The precise blood pressure to achieve in a pregnant woman is usually a battle between minimizing end organ damage to the mother and providing adequate perfusion to the placenta and the fetus. This predicament is becoming more, not less, frequent as maternal ages increase in high resource nations. Biomarkers to predict preeclampsia, a subcategory of hypertension in pregnancy, have always been elusive. The discovery of angiogenic factors relevant to preeclampsia in the last decade, however, has propelled much needed research, both in the basic science and clinical arenas. In this review, we summarize the latest clinical studies and international guidelines on blood pressure goals in pregnancy, and discuss the most promising of biomarkers to predict or diagnose preeclampsia.
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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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Metabolic profiling of stages of healthy pregnancy in Hu sheep using nuclear magnetic resonance (NMR). Theriogenology 2017; 92:121-128. [DOI: 10.1016/j.theriogenology.2017.01.025] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2016] [Revised: 01/12/2017] [Accepted: 01/15/2017] [Indexed: 01/03/2023]
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50
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Characterizing the lipid and metabolite changes associated with placental function and pregnancy complications using ion mobility spectrometry-mass spectrometry and mass spectrometry imaging. Placenta 2017; 60 Suppl 1:S67-S72. [PMID: 28392013 DOI: 10.1016/j.placenta.2017.03.016] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2017] [Revised: 03/23/2017] [Accepted: 03/28/2017] [Indexed: 11/23/2022]
Abstract
Successful pregnancy is dependent upon discrete biological events, which include embryo implantation, decidualization, and placentation. Problems associated with each of these events can cause infertility or conditions such as preeclampsia. A greater understanding of the molecular changes associated with these complex processes is necessary to aid in identifying treatments for each condition. Previous nuclear magnetic resonance spectroscopy and mass spectrometry studies have been used to identify metabolites and lipids associated with pregnancy-related complications. However, due to limitations associated with conventional implementations of both techniques, novel technology developments are needed to more fully understand the initiation and development of pregnancy related problems at the molecular level. In this perspective, we describe current analytical techniques for metabolomic and lipidomic characterization of pregnancy complications and discuss the potential for new technologies such as ion mobility spectrometry-mass spectrometry and mass spectrometry imaging to contribute to a better understanding of the molecular changes that affect the placenta and pregnancy outcomes.
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