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29 results on '"McCullough, Dylan"'

3. Elevated Maternal Folate Status and Changes in Maternal Prolactin, Placental Lactogen and Placental Growth Hormone Following Folic Acid Food Fortification: Evidence from Two Prospective Pregnancy Cohorts

Author

Jankovic-Karasoulos, Tanja, primary, Smith, Melanie D., additional, Leemaqz, Shalem, additional, Williamson, Jessica, additional, McCullough, Dylan, additional, Arthurs, Anya L., additional, Jones, Lauren A., additional, Bogias, Konstantinos Justin, additional, Mol, Ben W., additional, Dalton, Julia, additional, Dekker, Gustaaf A., additional, and Roberts, Claire T., additional

Published
2023
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8. Placental Transcription Profiling in 6–23 Weeks’ Gestation Reveals Differential Transcript Usage in Early Development

Author

Bogias, Konstantinos J., primary, Pederson, Stephen M., additional, Leemaqz, Shalem, additional, Smith, Melanie D., additional, McAninch, Dale, additional, Jankovic-Karasoulos, Tanja, additional, McCullough, Dylan, additional, Wan, Qianhui, additional, Bianco-Miotto, Tina, additional, Breen, James, additional, and Roberts, Claire T., additional

Published
2022
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11. Placental transcription profiling in 6-23 weeks’ gestation reveals differential transcript usage in early development

Author

Bogias, K. Justin, primary, Pederson, Stephen M, additional, Leemaqz, Shalem, additional, Smith, Melanie D, additional, McAninch, Dale, additional, Jankovic-Karasoulos, Tanja, additional, McCullough, Dylan, additional, Wan, Qianhui, additional, Bianco-Miotto, Tina, additional, Breen, James, additional, and Roberts, Claire T, additional

Published
2022
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12. Large-scale transcriptome-wide profiling of microRNAs in human placenta and maternal plasma at early to mid gestation.

Author

Smith, Melanie D., Pillman, Katherine, Jankovic-Karasoulos, Tanja, McAninch, Dale, Wan, Qianhui, Bogias, K. Justinian, McCullough, Dylan, Bianco-Miotto, Tina, Breen, James, and Roberts, Claire T.

Subjects
PLACENTA, GENE expression, PREGNANCY, GESTATIONAL age, MICRORNA, AGE discrimination, CHORIONIC villi, TROPHOBLAST
Abstract

MicroRNAs (miRNAs) are increasingly seen as important regulators of placental development and opportunistic biomarker targets. Given the difficulty in obtaining samples from early gestation and subsequent paucity of the same, investigation of the role of miRNAs in early gestation human placenta has been limited. To address this, we generated miRNA profiles using 96 placentas from presumed normal pregnancies, across early gestation, in combination with matched profiles from maternal plasma. Placenta samples range from 6 to 23 weeks' gestation, a time period that includes placenta from the early, relatively low but physiological (6–10 weeks' gestation) oxygen environment, and later, physiologically normal oxygen environment (11–23 weeks' gestation). We identified 637 miRNAs with expression in 86 samples (after removing poor quality samples), showing a clear gestational age gradient from 6 to 23 weeks' gestation. We identified 374 differentially expressed (DE) miRNAs between placentas from 6–10 weeks' versus 11–23 weeks' gestation. We see a clear gestational age group bias in miRNA clusters C19MC, C14MC, miR-17 ~ 92 and paralogs, regions that also include many DE miRNAs. Proportional change in expression of placenta-specific miRNA clusters was reflected in maternal plasma. The presumed introduction of oxygenated maternal blood into the placenta (between ~10 and 12 weeks' gestation) changes the miRNA profile of the chorionic villus, particularly in placenta-specific miRNA clusters. Data presented here comprise a clinically important reference set for studying early placenta development and may underpin the generation of minimally invasive methods for monitoring placental health. [ABSTRACT FROM AUTHOR]

Published
2023
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18. Effect of Selenium and Iodine on Oxidative Stress in the First Trimester Human Placenta Explants

Author

Habibi, Nahal, primary, Labrinidis, Agatha, additional, Leemaqz, Shalem Yiner-Lee, additional, Jankovic-Karasoulos, Tanja, additional, McCullough, Dylan, additional, Grieger, Jessica A., additional, Gilbert, Sarah, additional, Ricciardelli, Carmela, additional, Zhou, Shao Jia, additional, Perkins, Anthony V., additional, Roberts, Claire T., additional, and Bianco-Miotto, Tina, additional

Published
2021
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20. Maternal folate, one‐carbon metabolism and pregnancy outcomes

Author

Jankovic‐Karasoulos, Tanja, primary, Furness, Denise L., additional, Leemaqz, Shalem Y., additional, Dekker, Gustaaf A., additional, Grzeskowiak, Luke E., additional, Grieger, Jessica A., additional, Andraweera, Prabha H., additional, McCullough, Dylan, additional, McAninch, Dale, additional, McCowan, Lesley M., additional, Bianco‐Miotto, Tina, additional, and Roberts, Claire T., additional

Published
2020
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21. Temporal placental genome wide expression profiles reflect three phases of utero-placental blood flow during early to mid human gestation

Author

Breen, James, primary, McAninch, Dale, additional, Jankovic-Karasoulos, Tanja, additional, McCullough, Dylan, additional, Smith, Melanie D, additional, Bogias, K Justinian, additional, Wan, Qianhui, additional, Choudhry, Awais, additional, Hin, Nhi, additional, Pederson, Stephen M, additional, Bianco-Miotto, Tina, additional, and Roberts, Claire T, additional

Published
2020
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22. Quality control measures for placental sample purity in DNA methylation array analyses

Author

Wan, Qianhui, primary, Yiner-Lee Leemaqz, Shalem, additional, Pederson, Stephen Martin, additional, McCullough, Dylan, additional, McAninch, Dale Christopher, additional, Jankovic-Karasoulos, Tanja, additional, Smith, Melanie Denise, additional, Bogias, Konstantinos Justinian, additional, Liu, Ning, additional, Breen, James, additional, Roberts, Claire Trelford, additional, and Bianco-Miotto, Tina, additional

Published
2019
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25. Maternal folate, one‐carbon metabolism and pregnancy outcomes.

Author

Jankovic‐Karasoulos, Tanja, Furness, Denise L., Leemaqz, Shalem Y., Dekker, Gustaaf A., Grzeskowiak, Luke E., Grieger, Jessica A., Andraweera, Prabha H., McCullough, Dylan, McAninch, Dale, McCowan, Lesley M., Bianco‐Miotto, Tina, and Roberts, Claire T.

Subjects
THERAPEUTIC use of folic acid, RISK factors of preeclampsia, CARBON metabolism, BIRTH size, BIRTH weight, CONFIDENCE intervals, GESTATIONAL diabetes, DIET, DIETARY supplements, FATHERS, FOLIC acid, FOOD habits, HYPERTENSION in pregnancy, PREMATURE infants, INGESTION, INTERVIEWING, PREGNANCY complications, PREGNANT women, RESEARCH funding, RISK assessment, VITAMIN B12, HOMOCYSTEINE, MULTIPLE regression analysis, SECONDARY analysis, DATA analysis software, SINGLE nucleotide polymorphisms, DESCRIPTIVE statistics, ODDS ratio, GENOTYPES, PREGNANCY outcomes, DISEASE risk factors, PREGNANCY
Abstract

Single nucleotide polymorphisms and pre‐ and peri‐conception folic acid (FA) supplementation and dietary data were used to identify one‐carbon metabolic factors associated with pregnancy outcomes in 3196 nulliparous women. In 325 participants, we also measured circulating folate, vitamin B12 and homocysteine. Pregnancy outcomes included preeclampsia (PE), gestational hypertension (GHT), small for gestational age (SGA), spontaneous preterm birth (sPTB) and gestational diabetes mellitus (GDM). Study findings show that maternal genotype MTHFR A1298C(CC) was associated with increased risk for PE, whereas TCN2 C766G(GG) had a reduced risk for sPTB. Paternal MTHFR A1298C(CC) and MTHFD1 G1958A(AA) genotypes were associated with reduced risk for sPTB, whereas MTHFR C677T(CT) genotype had an increased risk for GHT. FA supplementation was associated with higher serum folate and vitamin B12 concentrations, reduced uterine artery resistance index and increased birth weight. Women who supplemented with <800 μg daily FA at 15‐week gestation had a higher incidence of PE (10.3%) compared with women who did not supplement (6.1%) or who supplemented with ≥800 μg (5.4%) (P <.0001). Higher serum folate levels were found in women who later developed GDM compared with women with uncomplicated pregnancies (Mean ± SD: 37.6 ± 8 nmol L−1 vs. 31.9 ± 11.2, P =.007). Fast food consumption was associated with increased risk for developing GDM, whereas low consumption of green leafy vegetables and fruit were independent risk factors for SGA and GDM and sPTB and SGA, respectively. In conclusion, maternal and paternal genotypes, together with maternal circulating folate and homocysteine concentrations, and pre‐ and early‐pregnancy dietary factors, are independent risk factors for pregnancy complications. [ABSTRACT FROM AUTHOR]

Published
2021
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27. Large-scale transcriptome-wide profiling of microRNAs in human placenta and maternal plasma at early to mid gestation

Author

Dale McAninch, Claire T. Roberts, Tanja Jankovic-Karasoulos, Katherine A. Pillman, Melanie D. Smith, Tina Bianco-Miotto, K. Justinian Bogias, James Breen, Qianhui Wan, Dylan McCullough, Smith, Melanie D, Pillman, Katherine, Jankovic-Karasoulos, Tanja, McAninch, Dale, Wan, Qianhui, Bogias, K Justinian, McCullough, Dylan, Bianco-Miotto, Tina, Breen, James, and Roberts, Claire T

Subjects
Male, placenta, Gestational Age, Biology, Bioinformatics, Andrology, Transcriptome, Pregnancy, Placenta, parasitic diseases, microRNA, medicine, Humans, DLK1-DI03, Maternal-Fetal Exchange, Molecular Biology, miRNA, C14MC, Mid gestation, Early gestation, Infant, Newborn, Gestational age, Gene Expression Regulation, Developmental, Human placenta, Cell Biology, medicine.disease, C19MC, MicroRNAs, medicine.anatomical_structure, embryonic structures, Chorionic villi, Gestation, Biomarker (medicine), miR-17~92, Female, pregnancy, Research Article, Research Paper
Abstract

BackgroundMicroRNAs (miRNAs) are increasingly seen as important regulators of placental development and opportunistic biomarker targets. Given the difficulty in obtaining samples from early gestation and subsequent paucity of the same, investigation of the role of miRNAs in early gestation human placenta has been limited. To address this, we generated miRNA profiles using 96 placentas from presumed normal pregnancies, across early gestation, in combination with matched profiles from maternal plasma. Placenta samples range from 6–23 weeks’ gestation, a time period that includes placenta from the early, relatively low but physiological (6–10 weeks’ gestation) oxygen environment, and later, physiologically normal oxygen environment (11–23 weeks’ gestation).ResultsWe identified 637 miRNAs with expression in 86 samples (after removing poor quality samples), showing a clear gestational age gradient from 6–23 weeks’ gestation. We identified 374 differentially expressed (DE) miRNAs between placentas from 6–10 weeks’ versus 11–23 weeks’ gestation. We see a clear gestational age group bias in miRNA clusters C19MC, C14MC, miR-17∼92 and paralogs, regions that also include many DE miRNAs. Proportional change in expression of placenta-specific miRNA clusters was reflected in maternal plasma.ConclusionThe presumed introduction of oxygenated maternal blood into the placenta (between ∼10–12 weeks’ gestation) changes the miRNA profile of the chorionic villus, particularly in placenta-specific miRNA clusters. Data presented here comprise a clinically important reference set for studying early placenta development and may underpin the generation of minimally invasive methods for monitoring placental health.

Published
2021

28. DraculR: A Web-Based Application for In Silico Haemolysis Detection in High-Throughput microRNA Sequencing Data

Author

Melanie D. Smith, Shalem Y. Leemaqz, Tanja Jankovic-Karasoulos, Dylan McCullough, Dale McAninch, Anya L. Arthurs, James Breen, Claire T. Roberts, Katherine A. Pillman, Smith, Melanie D, Leemaqz, Shalem Y, Jankovic-Karasoulos, Tanja, McCullough, Dylan, McAninch, Dale, Arthurs, Anya L, Breen, James, Roberts, Claire T, and Pillman, Katherine A

Subjects
microRNA, Genetics, biomarker, haemolysis, prediction, bioinformatics, plasma, Genetics (clinical)
Abstract

Refereed/Peer-reviewed The search for novel microRNA (miRNA) biomarkers in plasma is hampered by haemolysis, the lysis and subsequent release of red blood cell contents, including miRNAs, into surrounding fluid. The biomarker potential of miRNAs comes in part from their multicompartment origin and the long-lived nature of miRNA transcripts in plasma, giving researchers a functional window for tissues that are otherwise difficult or disadvantageous to sample. The inclusion of red-blood-cell-derived miRNA transcripts in downstream analysis introduces a source of error that is difficult to identify posthoc and may lead to spurious results. Where access to a physical specimen is not possible, our tool will provide an in silico approach to haemolysis prediction. We present DraculR, an interactive Shiny/R application that enables a user to upload miRNA expression data from a short-read sequencing of human plasma as a raw read counts table and interactively calculate a metric that indicates the degree of haemolysis contamination. The code, DraculR web tool and its tutorial are freely available as detailed herein.

Published
2023

29. Haemolysis detection in microRNA-seq from clinical plasma samples

Author

Melanie D. Smith, Shalem Y. Leemaqz, Tanja Jankovic-Karasoulos, Dale McAninch, Dylan McCullough, James Breen, Claire T. Roberts, Katherine A. Pillman, Smith, Melanie D, Leemaqz, Shalem Y, Jankovic-Karasoulos, Tanja, McAninch, Dale, McCullough, Dylan, Breen, James, Roberts, Claire T, and Pillman, Katherine A

Subjects
Male, microRNA, High-Throughput Nucleotide Sequencing, bioinformatics, prediction, Hemolysis, MicroRNAs, plasma, biomarker, haemolysis, Genetics, Humans, Female, Circulating MicroRNA, Biomarkers, Genetics (clinical)
Abstract

The abundance of cell-free microRNA (miRNA) has been measured in many body fluids, including blood plasma, which has been proposed as a source with novel, minimally invasive biomarker potential for several diseases. Despite improvements in quantification methods for plasma miRNAs, there is no consensus on optimal reference miRNAs or to what extent haemolysis may affect plasma miRNA content. Here we propose a new method for the detection of haemolysis in miRNA high-throughput sequencing (HTS) data from libraries prepared using human plasma. To establish a miRNA haemolysis signature in plasma we first identified differentially expressed miRNAs between samples with known haemolysis status and selected miRNA with statistically significant higher abundance in our haemolysed group. Given there may be both technical and biological reasons for differential abundance of signature miRNA, and to ensure the method developed here was relevant outside of our specific context, that is women of reproductive age, we tested for significant differences between pregnant and non-pregnant groups. Here we report a novel 20 miRNA signature (miR-106b-3p, miR-140-3p, miR-142-5p, miR-532-5p, miR-17-5p, miR-19b-3p, miR-30c-5p, miR-324-5p, miR-192-5p, miR-660-5p, miR-186-5p, miR-425-5p, miR-25-3p, miR-363-3p, miR-183-5p, miR-451a, miR-182-5p, miR-191-5p, miR-194-5p, miR-20b-5p) that can be used to identify the presence of haemolysis, in silico, in high throughput miRNA sequencing data. Given the potential for haemolysis contamination, we recommend that assay for haemolysis detection become standard pre-analytical practice and provide here a simple method for haemolysis detection.

Published
2022

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