TY - JOUR A1 - Dwi Putra, Sulistyo Emantoko A1 - Reichetzeder, Christoph A1 - Hasan, Ahmed Abdallah Abdalrahman Mohamed A1 - Slowinski, Torsten A1 - Chu, Chang A1 - Krämer, Bernhard K. A1 - Kleuser, Burkhard A1 - Hocher, Berthold T1 - Being born large for gestational age is associated with increased global placental DNA methylation JF - Scientific Reports N2 - Being born small (SGA) or large for gestational age (LGA) is associated with adverse birth outcomes and metabolic diseases in later life of the offspring. It is known that aberrations in growth during gestation are related to altered placental function. Placental function is regulated by epigenetic mechanisms such as DNA methylation. Several studies in recent years have demonstrated associations between altered patterns of DNA methylation and adverse birth outcomes. However, larger studies that reliably investigated global DNA methylation are lacking. The aim of this study was to characterize global placental DNA methylation in relationship to size for gestational age. Global DNA methylation was assessed in 1023 placental samples by LC-MS/MS. LGA offspring displayed significantly higher global placental DNA methylation compared to appropriate for gestational age (AGA; p<0.001). ANCOVA analyses adjusted for known factors impacting on DNA methylation demonstrated an independent association between placental global DNA methylation and LGA births (p<0.001). Tertile stratification according to global placental DNA methylation levels revealed a significantly higher frequency of LGA births in the third tertile. Furthermore, a multiple logistic regression analysis corrected for known factors influencing birth weight highlighted an independent positive association between global placental DNA methylation and the frequency of LGA births (p=0.001). KW - fetal origins hypothesis KW - birth weight KW - repetitive elements KW - glucocorticoid receptor KW - nutrient transport KW - growth restriction KW - later health KW - pregnancy KW - genes KW - patterns Y1 - 2020 U6 - https://doi.org/10.1038/s41598-020-57725-0 SN - 2045-2322 VL - 10 IS - 1 SP - 1 EP - 10 PB - Springer Nature CY - London ER - TY - JOUR A1 - Chaykovska, Lyubov A1 - Zientara, Alicja A1 - Reser, Diana A1 - Weise, Alexander A1 - Reichert, Wolfgang A1 - Hocher, Berthold T1 - Development and validation of a macroarray system - MutaCHIP (R) ARTERO - for the detection of genetic variants involved in the pathogenesis of atherosclerosis JF - Clinical laboratory : the peer reviewed journal for clinical laboratories and laboratories related to blood transfusion N2 - Background: Cardiovascular diseases are the leading cause of death in developed countries. The underlying mechanism is often atherosclerotic remodeling of blood vessels in organs such as heart, kidney, brain, and large arteries in case of peripheral arterial disease. Beside environmental and behavioral factors such as smoking or lack of physical activity, genetic variants in genes involved in lipid metabolism, blood pressure regulation, oxidative stress, and coagulation play a prominent role in the pathogenesis of atherosclerosis. Methods: Thus, we developed and validated for clinical use and research a macroarray system for the simultaneous detection of key genetic variants in genes involved in lipid metabolism, blood pressure regulation, oxidative stress, and coagulation. Results: When compared with standard PCR technologies to determine all these genetic variants in parallel, the macroarray system (MutaCHIP (R) ARTERO) was as accurate but faster, cheaper, and easier to handle compared to classical real time PCR based technologies. Conclusions: MutaCHIP (R) ARTERO is a gene chip for diagnostics of a complex genetic panel involved in the pathogenesis of atherosclerosis. This method is as sensitive and precise as real time PCR and is able to replicate real time PCR data previously validated in evaluation studies. KW - cardiovascular disease KW - atherosclerosis KW - genes KW - rapid detection method KW - macroarray Y1 - 2014 U6 - https://doi.org/10.7754/Clin.Lab.2014.140104 SN - 1433-6510 VL - 60 IS - 5 SP - 873 EP - 878 PB - Clin Lab Publ., Verl. Klinisches Labor CY - Heidelberg ER -