@misc{LuReichetzederPrehnetal.2018, author = {Lu, Yong-Ping and Reichetzeder, Christoph and Prehn, Cornelia and von Websky, Karoline and Slowinski, Torsten and Chen, You-Peng and Yin, Liang-Hong and Kleuser, Burkhard and Yang, Xue-Song and Adamski, Jerzy and Hocher, Berthold}, title = {Fetal serum metabolites are independently associated with Gestational diabetes mellitus}, series = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, journal = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, number = {637}, issn = {1866-8372}, doi = {10.25932/publishup-42458}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-424585}, pages = {14}, year = {2018}, abstract = {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 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}, language = {en} } @misc{BeaumontWarringtonCavadinoetal.2017, author = {Beaumont, Robin N. and Warrington, Nicole M. and Cavadino, Alana and Tyrrell, Jessica and Nodzenski, Michael and Horikoshi, Momoko and Geller, Frank and Myhre, Ronny and Richmond, Rebecca C. and Paternoster, Lavinia and Bradfield, Jonathan P. and Kreiner-M{\o}ller, Eskil and Huikari, Ville and Metrustry, Sarah and Lunetta, Kathryn L. and Painter, Jodie N. and Hottenga, Jouke-Jan and Allard, Catherine and Barton, Sheila J. and Espinosa, Ana and Marsh, Julie A. and Potter, Catherine and Zhang, Ge and Ang, Wei and Berry, Diane J. and Bouchard, Luigi and Das, Shikta and Hakonarson, Hakon and Heikkinen, Jani and Helgeland, {\O}yvind and Hocher, Berthold and Hofman, Albert and Inskip, Hazel M. and Jones, Samuel E. and Kogevinas, Manolis and Lind, Penelope A. and Marullo, Letizia and Medland, Sarah E. and Murray, Anna and Murray, Jeffrey C. and Nj{\o}lstad, Pa ̊l R. and Nohr, Ellen A. and Reichetzeder, Christoph and Ring, Susan M. and Ruth, Katherine S. and Santa-Marina, Loreto and Scholtens, Denise M. and Sebert, Sylvain and Sengpiel, Verena and Tuke, Marcus A. and Vaudel, Marc and Weedon, Michael N. and Willemsen, Gonneke and Wood, Andrew R. and Yaghootkar, Hanieh and Muglia, Louis J. and Bartels, Meike and Relton, Caroline L. and Pennell, Craig E. and Chatzi, Leda and Estivill, Xavier and Holloway, John W. and Boomsma, Dorret I. and Montgomery, Grant W. and Murabito, Joanne M. and Spector, Tim D. and Power, Christine and Ja ̈rvelin, Marjo-Ritta and Bisgaard, Hans and Grant, Struan F.A. and S{\o}rensen, Thorkild I.A. and Jaddoe, Vincent W. and Jacobsson, Bo and Melbye, Mads and McCarthy, Mark I. and Hattersley, Andrew T. and Hayes, M. Geoffrey and Frayling, Timothy M. and Hivert, Marie-France and Felix, Janine F. and Hyppo ̈nen, Elina and Lowe, William L. , Jr and Evans, David M. and Lawlor, Debbie A. and Feenstra, Bjarke and Freathy, Rachel M.}, title = {Genome-wide association study of offspring birth weight in 86 577 women identifies five novel loci and highlights maternal genetic effects that are independent of fetal genetics}, series = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, journal = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, number = {628}, issn = {1866-8372}, doi = {10.25932/publishup-42310}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-423100}, pages = {15}, year = {2017}, abstract = {Genome-wide association studies of birth weight have focused on fetal genetics, whereas relatively little is known about the role of maternal genetic variation. We aimed to identify maternal genetic variants associated with birth weight that could highlight potentially relevant maternal determinants of fetal growth. We meta-analysed data on up to 8.7 million SNPs in up to 86 577 women of European descent from the Early Growth Genetics (EGG) Consortium and the UK Biobank. We used structural equation modelling (SEM) and analyses of mother-child pairs to quantify the separate maternal and fetal genetic effects. Maternal SNPs at 10 loci (MTNR1B, HMGA2, SH2B3, KCNAB1, L3MBTL3, GCK, EBF1, TCF7L2, ACTL9, CYP3A7) were associated with offspring birth weight at P < 5 {\^A} 10 {\`A}8 . In SEM analyses, at least 7 of the 10 associations were consistent with effects of the maternal genotype acting via the intrauterine environment, rather than via effects of shared alleles with the fetus. Variants, or correlated proxies, at many of the loci had been previously associated with adult traits, including fasting glucose (MTNR1B, GCK and TCF7L2) and sex hormone levels (CYP3A7), and one (EBF1) with gestational duration. The identified associations indicate that genetic effects on maternal glucose, cytochrome P450 activity and gestational duration, and potentially on maternal blood pressure and immune function, are relevant for fetal growth. Further characterization of these associations in mechanistic and causal analyses will enhance understanding of the potentially modifiable maternal determinants of fetal growth, with the goal of reducing the morbidity and mortality associated with low and high birth weights.}, language = {en} } @misc{LuReichetzederPrehnetal.2018, author = {Lu, Yong-Ping and Reichetzeder, Christoph and Prehn, Cornelia and Yin, Liang-Hong and Yun, Chen and Zeng, Shufei and Chu, Chang and Adamski, Jerzy and Hocher, Berthold}, title = {Cord blood Lysophosphatidylcholine 16:1 is positively associated with birth weight}, series = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, journal = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, number = {631}, issn = {1866-8372}, doi = {10.25932/publishup-42456}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-424566}, pages = {11}, year = {2018}, abstract = {Background/Aims: Impaired birth outcomes, like low birth weight, have consistently been associated with increased disease susceptibility to hypertension in later life. Alterations in the maternal or fetal metabolism might impact on fetal growth and influence birth outcomes. Discerning associations between the maternal and fetal metabolome and surrogate parameters of fetal growth could give new insight into the complex relationship between intrauterine conditions, birth outcomes, and later life disease susceptibility. Methods: Using flow injection tandem mass spectrometry, targeted metabolomics was performed in serum samples obtained from 226 mother/child pairs at delivery. Associations between neonatal birth weight and concentrations of 163 maternal and fetal metabolites were analyzed. Results: After FDR adjustment using the Benjamini-Hochberg procedure lysophosphatidylcholines (LPC) 14:0, 16:1, and 18:1 were strongly positively correlated with birth weight. In a stepwise linear regression model corrected for established confounding factors of birth weight, LPC 16: 1 showed the strongest independent association with birth weight (CI: 93.63 - 168.94; P = 6.94x10(-11)). The association with birth weight was stronger than classical confounding factors such as offspring sex (CI: - 258.81- -61.32; P = 0.002) and maternal smoking during pregnancy (CI: -298.74 - -29.51; P = 0.017). Conclusions: After correction for multiple testing and adjustment for potential confounders, LPC 16:1 showed a very strong and independent association with birth weight. The underlying molecular mechanisms linking fetal LPCs with birth weight need to be addressed in future studies. (c) 2018 The Author(s) Published by S. Karger AG, Basel}, language = {en} }