Yong-Ping Lu, Christoph Reichetzeder, Cornelia Prehn, Karoline von Websky, Torsten Slowinski, You-Peng Chen, Liang-Hong Yin, Burkhard Kleuser, Xue-Song Yang, Jerzy Adamski, Berthold Hocher
- Background/Aims: Gestational diabetes (GDM) might be associated with alterations in the metabolomic profile of affected mothers and their offspring. Until now, there is a paucity of studies that investigated both, the maternal and the fetal serum metabolome in the setting of GDM. Mounting evidence suggests that the fetus is not just passively affected by gestational disease but might play an active role in it. Metabolomic studies performed in maternal blood and fetal cord blood could help to better discern distinct fetal from maternal disease interactions. Methods: At the time of birth, serum samples from mothers and newborns (cord blood samples) were collected and screened for 163 metabolites utilizing tandem mass spectrometry. The cohort consisted of 412 mother/child pairs, including 31 cases of maternal GDM. Results: An initial non-adjusted analysis showed that eight metabolites in the maternal blood and 54 metabolites in the cord blood were associated with GDM. After Benjamini-Hochberg (BH) procedure and adjustment for confoundingBackground/Aims: Gestational diabetes (GDM) might be associated with alterations in the metabolomic profile of affected mothers and their offspring. Until now, there is a paucity of studies that investigated both, the maternal and the fetal serum metabolome in the setting of GDM. Mounting evidence suggests that the fetus is not just passively affected by gestational disease but might play an active role in it. Metabolomic studies performed in maternal blood and fetal cord blood could help to better discern distinct fetal from maternal disease interactions. Methods: At the time of birth, serum samples from mothers and newborns (cord blood samples) were collected and screened for 163 metabolites utilizing tandem mass spectrometry. The cohort consisted of 412 mother/child pairs, including 31 cases of maternal GDM. Results: An initial non-adjusted analysis showed that eight metabolites in the maternal blood and 54 metabolites in the cord blood were associated with GDM. After Benjamini-Hochberg (BH) procedure and adjustment for confounding factors for GDM, fetal phosphatidylcholine acyl-alkyl C 32:1 and proline still showed an independent association with GDM. Conclusions: This study found metabolites in cord blood which were associated with GDM, even after adjustment for established risk factors of GDM. To the best of our knowledge, this is the first study demonstrating an independent association between fetal serum metabolites and maternal GDM. Our findings might suggest a potential effect of the fetal metabolome on maternal GDM. (c) 2018 The Author(s) Published by S. Karger AG, Basel…
MetadatenVerfasserangaben: | Yong-Ping Lu, Christoph ReichetzederORCiDGND, Cornelia PrehnORCiD, Karoline von WebskyORCiDGND, Torsten Slowinski, You-Peng Chen, Liang-Hong Yin, Burkhard KleuserORCiDGND, Xue-Song Yang, Jerzy Adamski, Berthold HocherORCiDGND |
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DOI: | https://doi.org/10.1159/000487119 |
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ISSN: | 1015-8987 |
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ISSN: | 1421-9778 |
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Pubmed ID: | https://pubmed.ncbi.nlm.nih.gov/29402850 |
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Titel des übergeordneten Werks (Englisch): | Cellular physiology and biochemistry : international journal of experimental cellular physiology, biochemistry and pharmacology |
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Verlag: | Karger |
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Verlagsort: | Basel |
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Publikationstyp: | Wissenschaftlicher Artikel |
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Sprache: | Englisch |
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Jahr der Erstveröffentlichung: | 2018 |
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Erscheinungsjahr: | 2018 |
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Datum der Freischaltung: | 01.04.2022 |
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Freies Schlagwort / Tag: | Gestational diabetes; Metabolomics; Phosphatidylcholine acyl-alkyl C 32:1; Proline |
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Band: | 45 |
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Ausgabe: | 2 |
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Seitenanzahl: | 14 |
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Erste Seite: | 625 |
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Letzte Seite: | 638 |
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Fördernde Institution: | German Federal Ministry of Education and Research (BMBF)Federal Ministry of Education & Research (BMBF); Guangzhou industry university research cooperative innovation major project [201508020101]; Guangdong science and technology project in the field of social development [2013B021400002]; Guangzhou science and technology project, Guangdong, China [201604020175] |
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Organisationseinheiten: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Chemie |
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DDC-Klassifikation: | 5 Naturwissenschaften und Mathematik / 54 Chemie / 540 Chemie und zugeordnete Wissenschaften |
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| 5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie |
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| 6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit |
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Peer Review: | Referiert |
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Publikationsweg: | Open Access / Gold Open-Access |
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| DOAJ gelistet |
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Lizenz (Deutsch): | CC-BY-NC-ND - Namensnennung, nicht kommerziell, keine Bearbeitungen 4.0 International |
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Externe Anmerkung: | Zweitveröffentlichung in der Schriftenreihe Postprints der Universität Potsdam : Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe ; 637 |
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