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Objective: We aimed to explore: (i) the association of sedentary time (ST) and physical activity (PA) during pregnancy with the placental expression of genes related to glucose and lipid metabolism in pregnant women who are obese; (ii) maternal metabolic factors mediating changes in these placental transcripts; and (iii) cord blood markers related to the mRNAs mediating neonatal adiposity. Design: Multicentre randomised controlled trial. Setting: Hospitals in nine European countries. Population: A cohort of 112 pregnant women with placental tissue. Methods: Both ST and moderate‐to‐vigorous PA (MVPA) levels were measured objectively using accelerometry at three time periods during pregnancy. Main outcome measures: Placental mRNAs (FATP2, FATP3, FABP4, GLUT1 and PPAR‐γ) were measured with NanoString technology. Maternal and fetal metabolic markers and neonatal adiposity were assessed. Results: Longer periods of ST, especially in early to middle pregnancy, was associated with lower placental FATP2 and FATP3 expression (P < 0.05), whereas MVPA at baseline was inversely associated with GLUT1 mRNA (P = 0.02). Although placental FATP2 and FATP3 expression were regulated by the insulin–glucose axis (P < 0.05), no maternal metabolic marker mediated the association of ST/MVPA with placental mRNAs (P > 0.05). Additionally, placental FATP2 expression was inversely associated with cord blood triglycerides and free fatty acids (FFAs; P < 0.01). No cord blood marker mediated neonatal adiposity except for cord blood leptin, which mediated the effects of PPAR‐γ on neonatal sum of skinfolds (P < 0.05). Conclusions: In early to middle pregnancy, ST is associated with the expression of placental genes linked to lipid transport. PA is hardly related to transporter mRNAs. Strategies aimed at reducing sedentary behaviour during pregnancy could modulate placental gene expression, which may help to prevent unfavourable fetal and maternal pregnancy outcomes. Reducing sedentary behaviour in pregnancy might modulate placental expression of genes related to lipid metabolism in women who are obese. Reducing sedentary behaviour in pregnancy might modulate placental expression of genes related to lipid metabolism in women who are obese. [ABSTRACT FROM AUTHOR]

A genetic improvement programme is a sustainable, cumulative and permanent approach to achieving year-on-year performance gains. Its success is predicated not only on an efficient and effective breeding programme but also on a vision of the traits of importance in the future. A single, industry-owned, centralised database for cattle and sheep has been the foundation for genetic improvement programmes in Ireland. While DNA information has been heralded as a breakthrough for accelerating genetic gain, the basic principles of a successful animal breeding programme still remain the same: (1) a pertinent breeding goal, (2) the appropriate breeding objective to deliver on the breeding goal, (3) an accurate genetic evaluation system, (4) an efficient and effective breeding scheme, and (5) a system to disseminate the elite germplasm to the end user; also of importance is a system for validating the underlying procedures and principles. The constituent traits and their relative emphasis within breeding objectives will continue to be contentious. Traits that will need to be considered more in future ruminant breeding objectives include environmental impact, product quality and animal well-being, including health; while not always explicitly included in Irish breeding objectives for cattle and sheep, indirect improvements for many are expected via the genetic improvement in traits like reproductive performance and survival as well as macro measures of quality such as milk fat and protein concentration and carcass merit. Crucial for the future sustainability of ruminant production systems is the co-evolution of management systems and breeding programmes so that the animal of the future is suited to the most sustainably efficient production system. [ABSTRACT FROM AUTHOR]

Background: Pregestational diabetes mellitus (PGDM) is associated with adverse pregnancy outcomes. Studies assessing interventions to improve maternal and infant outcomes have increased exponentially over recent years. Several outcomes in this field of maternal diabetes are rare, making it difficult to synthesise evidence. Objectives: To collect outcomes reported in studies assessing treatment interventions in pregnant women with PGDM. Search strategy: CENTRAL, Web of Science, Medline, CINAHL, Embase and ClinicalTrials.gov from their inception until 27 January 2020. Selection criteria: Any randomised controlled trial assessing treatment interventions in pregnant women with PGDM reported in English. Data collection and analysis: Two independent reviewers assessed the suitability of articles and retrieved the data. Outcomes extracted from the literature were broadly categorised into maternal, fetal/infant or other outcomes by the study advisory group. Main results: Sixty‐seven of the 1475 studies identified fulfilled the inclusion criteria. The median number of outcomes reported per study was 15 (range 1–46). The majority of studies were from North America and Europe. Insulin and metformin were the most commonly investigated pharmacological interventions. Glucose monitoring was the most assessed technological intervention. In all, 131 unique outcomes were extracted: maternal (n = 69), fetal/infant (n = 61) and other (n = 1). Conclusions: Outcome reporting in treatment interventions trials of pregnant women with PGDM is varied, making it difficult to synthesise evidence, especially for rare outcomes. Systems are needed to standardise outcome reporting in future clinical trials and so facilitate evidence synthesis in this area of maternal diabetes. Registration: The systematic review was registered prospectively with the International Prospective Register of Systematic Reviews (PROSPERO) database (Registration number CRD42020173549). Outcome reporting is heterogeneous in intervention trials of pregnant women with diabetes existing before pregnancy. Outcome reporting is heterogeneous in intervention trials of pregnant women with diabetes existing before pregnancy. [ABSTRACT FROM AUTHOR]

Summary: Proper quality control of data prior to downstream analyses is fundamental to ensure integrity of results; quality control of genomic data is no exception. While many metrics of quality control of genomic data exist, the objective of the present study was to quantify the genotype and allele concordance rate between called single nucleotide polymorphism (SNP) genotypes differing in GenCall (GC) score; the GC score is a confidence measure assigned to each Illumina genotype call. This objective was achieved using Illumina beadchip genotype data from 771 cattle (12 428 767 genotypes in total post‐editing) and 80 sheep (1 557 360 SNPs genotypes in total post‐editing) each genotyped in duplicate. The called genotype with the lowest associated GC score was compared to the genotype called for the same SNP in the same duplicated animal sample but with a GC score of >0.90 (assumed to represent the true genotype). The mean genotype concordance rate for a GC score of <0.300, 0.300–0.549, and ≥0.550 in the cattle (sheep in parenthesis) was 0.9467 (0.9864), 0.9707 (0.9953), and 0.9994 (0.99997) respectively; the respective allele concordance rate was 0.9730 (0.9930), 0.9849 (0.9976), and 0.9997 (0.99998). Hence, concordance eroded as the GC score of the called genotype reduced, albeit the impact was not dramatic and was not very noticeable until a GC score of <0.55. Moreover, the impact was greater and more consistent in the cattle population than in the sheep population. Furthermore, an impact of GC score on genotype concordance rate existed even for the same SNP GenTrain value; the GenTrain value is a statistical score that depicts the shape of the genotype clusters and the relative distance between the called genotype clusters. [ABSTRACT FROM AUTHOR]

Aims: To describe the metabolic phenotypes of early gestational diabetes mellitus and their association with adverse pregnancy outcomes. Methods: We performed a post hoc analysis using data from the Vitamin D And Lifestyle Intervention for gestational diabetes prevention (DALI) trial conducted across nine European countries (2012–2014). In women with a BMI ≥29 kg/m2, insulin resistance and secretion were estimated from the oral glucose tolerance test values performed before 20 weeks, using homeostatic model assessment of insulin resistance and Stumvoll first‐phase indices, respectively. Women with early gestational diabetes, defined by the International Association of Diabetes and Pregnancy Study Groups criteria, were classified into three groups: GDM‐R (above‐median insulin resistance alone), GDM‐S (below‐median insulin secretion alone), and GDM‐B (combination of both) and the few remaining women were excluded. Results: Compared with women in the normal glucose tolerance group (n = 651), women in the GDM‐R group (n = 143) had higher fasting and post‐load glucose values and insulin levels, with a greater risk of having large‐for‐gestational age babies [adjusted odds ratio 3.30 (95% CI 1.50–7.50)] and caesarean section [adjusted odds ratio 2.30 (95% CI 1.20–4.40)]. Women in the GDM‐S (n = 37) and GDM‐B (n = 56) groups had comparable pregnancy outcomes with those in the normal glucose tolerance group. Conclusions: In overweight and obese women with early gestational diabetes, higher degree of insulin resistance alone was more likely to be associated with adverse pregnancy outcomes than lower insulin secretion alone or a combination of both. [ABSTRACT FROM AUTHOR]

Background Gestational diabetes mellitus (GDM) is associated+ with adverse pregnancy outcomes compared with women with normal glucose tolerance in pregnancy. The WHO recommends screening at 24–28 weeks gestation for GDM. Women who are diagnosed before 24–28 weeks gestation have a longer intervention period which may impact positively on pregnancy outcomes. Aim This study aimed to examine pregnancy outcomes of women with GDM diagnosed <24 weeks gestation compared with those diagnosed at 24–28 weeks in a large Irish cohort. Methods A retrospective cohort study of 1471 pregnancies in women with GDM diagnosed using IADPSG criteria between September 2012 and April 2016 was conducted. At GDM diagnosis, women were classified as early GDM <24 weeks or standard GDM 24–28 weeks gestation. Results Women with early GDM had a significantly greater risk of pregnancy-induced hypertension (12.4% vs. 5.3%; P  < 0.05), post-partum haemorrhage (8.7% vs. 2.4%; P  < 0.05) and post-partum glucose abnormalities (32% vs. 15.6%; P  < 0.05). Their offspring had a greater risk of pre-maturity (10.9% vs. 6.6%; P  < 0.05), stillbirth (1.4% vs. 0.5%; P  < 0.05), large for gestational age (19.1% vs. 13.4% P  < 0.05) and need neonatal intensive care (30.7% vs. 22.1%; P  < 0.05) compared with offspring of women with standard GDM. Rates of C-section and pre-maturity were still higher in the early GDM group when the two groups where compared based on their post-natal OGTT. Conclusion Early GDM women and their offspring are at greater risk of an adverse pregnancy outcome compared with those diagnosed at 24–28 weeks. In view of the abnormal post-natal glucose findings, early GDM may reflect a more advanced state in diabetes pathogenesis. [ABSTRACT FROM AUTHOR]

The Morse–Witten theory provides a formulation for the inter-bubble forces and corresponding deformations in a liquid foam, accurate in the limit of high liquid fraction. Here we show how the theory may be applied in practice, including allowing for polydispersity in the bubble sizes. The resulting equilibrated 2D structures are consistent with direct calculations, within the limitations of the theory. The path to developing a 3D model is outlined for future work. [ABSTRACT FROM AUTHOR]

We present a very simple formula for the determination of surface tension from only two length measurements for pendant or sessile liquid drops (together with knowledge of their density). The formula is derived from an analytic theory of Morse and Witten for the shape of a drop under a small applied force. We also discuss its validity in the presence of measurement accuracy. [ABSTRACT FROM AUTHOR]