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We sought to identify self-reported exercise and objectively measured fitness variables associated with glucose tolerance and metabolic health 6-10 years after gestational diabetes (GDM) METHODS: Women (n = 84) underwent oral glucose tolerance testing (OGTT), body composition measurements, and lifestyle questionnaires 6 and 10 years after GDM. In a subset (n = 45), peak oxygen uptake (VOAt 10 years, 41 women (49%) had impaired glucose metabolism or type 2 diabetes (T2D). VOObjectively measured fitness variables, particularly muscle strength, were strongly associated with glycemic and other metabolic outcomes in a high-risk group after GDM.

Background Infant adiposity is linked to both high maternal fat mass (FM) and excessive gestational FM gain, whereas the association with maternal adipokines is less clear. The aim was to determine how levels of maternal leptin, the soluble leptin receptor (sOB-R), adiponectin, and FM during pregnancy were linked to infant FM in normal-weight (NW) women and women with obesity (OB). Methods Body composition and serum levels of leptin, adiponectin, and sOB-R were determined three times during pregnancy in 80 NW and 46 OB women. For infants, body composition was measured at 1 and 12 weeks of age. Results Maternal leptin and sOB-R levels increased during pregnancy. For NW women, infant FM at 1 week was inversely associated with changes in maternal leptin and at 12 weeks inversely associated with absolute maternal sOB-R levels throughout pregnancy, as well as changes in sOB-R levels in early pregnancy. For OB women, infant FM at both 1 and 12 weeks were best explained by maternal FM. Conclusions Leptin and sOB-R, thought to regulate leptin bioavailability, are associated with fat accumulation in infants born to NW women. In OB women, maternal FM in early pregnancy is more important than leptin in determining infant fat accumulation. Impact In normal-weight women, the regulation of maternal leptin bioavailability during pregnancy has a role in infant fat mass accumulation.In women with obesity, however, pre-pregnancy maternal fat mass seems more important for infant fat mass.This is the first study of maternal adipokines and fat mass including longitudinal measurements in both mothers and their children.Understanding the relationship between maternal factors and infant fat mass is of great importance as obesity is programmed over the generations, and it is important to learn what regulates this programming.Fig. 1Study visits and participating numbers for normal-weight women (n = 80) or women with obesity (n = 46) and their infants. ADP air displacement plethysmography, NW women of normal weight, OB women with obesity.Fig. 2Strongest explanatory variables of infant outcomes at 1 and 12 weeks using adjusted stepwise linear regression for the a normal weight (NW) group and b obese (OB) group. Estimates per 1 SD increase and 95% CI are shown to allow comparison between different variables and outcomes. FM fat mass, FFM fat-free mass, sOB-R soluble leptin receptor, T1 trimester 1, T2 trimester 2, T3 trimester 3.

The Pregnancy Obesity Nutrition and Child Health study is a longitudinal study of reproductive health. Here we analyzed body composition of normal-weight and obese Swedish women by three methods during each trimester of pregnancy. Cross-sectional and longitudinal fat mass estimates using quantitative magnetic resonance (QMR) and bioelectrical impedance analysis (BIA) (Tanita MC-180MA-III) were compared with fat mass determined by air displacement plethysmography (ADP) in pregnancy weeks 8–12, 24–26, and 35–37 in normal-weight women (n = 122, BMI = 22.1 ± 1.6 kg/m2) and obese women (n = 29, BMI = 34.6 ± 3.6 kg/m2). ADP results were calculated from pregnancy-adjusted fat-free mass densities. Mean fat mass by QMR and ADP were similar in obese women, although with wide limits of agreement. In normal-weight women, QMR overestimated mean fat mass in all trimesters, with systematic overestimation at low fat mass values in trimesters 1 and 3. In obese women, fat mass by BIA was grossly underestimated and imprecise in all trimesters, especially at higher values in trimester 2. In normal-weight women, fat mass by BIA was moderately lower than by ADP in trimester 1, similar in trimester 2, and moderately higher in trimester 3. QMR and ADP assessed fat mass changes similarly in obese women, whereas BIA overestimated fat mass changes in normal-weight women. Mean fat mass and fat mass changes by QMR and pregnancy-adjusted ADP were similar in pregnant obese women. Mean fat mass by QMR and fat mass changes by BIA were higher than corresponding values determined by pregnancy-adjusted ADP in normal-weight women.

Adipose tissue and adipokine concentrations change markedly during pregnancy, but the effects of physical activity on these changes are rarely studied. We aimed to assess physical activity levels in pregnant women of normal-weight (NW) or with obesity (OB), and to determine the relation with changes in fat mass and adipokines. In each trimester, pregnant women (136 NW, 51 OB) were interviewed about their physical activity and had their body composition, leptin, soluble leptin receptor (sOB-R) and adiponectin determined. NW reported higher activity and more aerobic exercise than OB during early pregnancy. Both groups maintained training frequency but reduced overall activity as pregnancy progressed. NW women reporting aerobic and/or resistance exercise and OB women reporting aerobic exercise had greater sOB-R increases (independent of BMI or gestational weight gain). In NW, exercise also associated with lower fat mass and leptin increases. Higher activity levels associated with lower gestational weight gain in both groups. The relationship between physical activity and adiponectin differed between NW and OB. Maternal exercise may partly mediate its beneficial effects through regulation of leptin bioavailability, by enhancing pregnancy-induced increases in sOB-R. This could be of particular importance in OB with pre-gestational hyperleptinemia and leptin resistance.

Detailed data on adipokines and body composition during and after pregnancy in women of different BMI categories are lacking. Furthermore, adipokine regulation during pregnancy and the factors contributing to gestational insulin resistance are not completely understood. The objective was to longitudinally determine adipokine levels, body composition, and insulin sensitivity during and after pregnancy in women of healthy weight (HW) and with obesity (OB), and identify factors associated with insulin resistance. Women (30 HW, 19 OB) underwent blood sampling and body composition examination, by air-displacement plethysmography, longitudinally during pregnancy (trimesters 1, 2, 3) and after pregnancy (6, 12, 18 months postpartum). Serum leptin, soluble leptin receptor (sOB-R), and adiponectin levels were measured and free leptin index (FLI) and homeostatic model assessment of insulin resistance (HOMA-IR) determined. Fat mass and leptin increased during pregnancy in the HW (p

AIM: To investigate the degree by which epigenetic signatures in children from mothers with gestational diabetes mellitus (GDM) are influenced by environmental factors.METHODS: We profiled the DNA methylation signature of blood from lean, obese and GDM mothers and their respective newborns.RESULTS: DNA methylation profiles of mothers showed high similarity across groups, while newborns from GDM mothers showed a marked distinct epigenetic profile compared with newborns of both lean and obese mothers. Analysis of variance in DNA methylation levels between newborns showed higher variance in the GDM group.CONCLUSION: Our results suggest that environmental factors, rather than direct transmission of epigenetic marks from the mother, are involved in establishing the epigenetic signature associated with GDM.CLINICAL TRIAL REGISTRATION NUMBER: Dnr 402-08.

To determine how maternal obesity or gestational diabetes mellitus (GDM) affect infant body size and body composition during the first year of life. Eighty three normal-weight (NW) women, 26 obese (OB) women, and 26 women with GDM were recruited during pregnancy. Infant body composition was determined by air-displacement plethysmography at 1 and 12 weeks, and anthropometric measurements made until 1 year of age. Girl infants born to OB women and women with GDM had a higher body-fat percentage (BF%) at 1 and 12 weeks of age than girls born to NW women. Girls had higher BF% than boys in OB and GDM groups only. Maternal HbA1c and fasting plasma glucose correlated with girl infant BF% at 1 week of age. Maternal weight at start of pregnancy correlated with birthweight in NW and OB groups, but not the GDM group. OB group infants showed greater BMI increases from 1 week to 1 year than both NW and GDM group infants. Results show that both maternal glycaemia and obesity are determinants of increased early life adiposity, especially in girls, with glycaemic levels being more influential than maternal weight for infants born to women with GDM.

Objective:Whereas numerous experimental and clinical studies suggest a complex involvement of serotonin in the regulation of anxiety, it remains to be clarified if the dominating impact of this transmitter is best described as anxiety-reducing or anxiety-promoting. The aim of this study was to assess the impact of serotonin depletion on acquisition, consolidation, and expression of conditioned fear.Methods:Male Sprague–Dawley rats were exposed to foot shocks as unconditioned stimulus and assessed with respect to freezing behaviour when re-subjected to context. Serotonin depletion was achieved by administration of a serotonin synthesis inhibitor, para-chlorophenylalanine (PCPA) (300 mg/kg daily × 3), (i) throughout the period from (and including) acquisition to (and including) expression, (ii) during acquisition but not expression, (iii) after acquisition only, and (iv) during expression only.Results:The time spent freezing was significantly reduced in animals that were serotonin-depleted during the entire period from (and including) acquisition to (and including) expression, as well as in those being serotonin-depleted during either acquisition only or expression only. In contrast, PCPA administrated immediately after acquisition, that is during memory consolidation, did not impact the expression of conditioned fear.Conclusion:Intact serotonergic neurotransmission is important for both acquisition and expression of context-conditioned fear.

Objective/aim Growth-differentiation-factor 15 (GDF15) has been suggested to improve or protect beta cell function. During pregnancy, beta cell numbers and function increase to overcome the natural rise in insulin resistance during gestation. In this study, we longitudinally measured serum GDF15 levels during and after pregnancy in women of normal weight (NW) and in women with obesity (OB) and explored associations between GDF15 and changes in beta cell function by homeostatic model assessment (HOMA). Methods The cohort participants were 38 NW (BMI 22.3 ± 1.7) and 35 OB (BMI 35.8 ± 4.2). Blood was sampled and body composition measured at each trimester (T1, T2, and T3) and at 6, 12 and 18 months postpartum. Fasting glucose, insulin and GDF15 were measured, and HOMA for insulin resistance (HOMA-IR) and beta cell function (HOMA-B) determined. Results GDF15 levels increased significantly each trimester and were ~200-fold higher at T3 than in the nonpregnant postpartum state. GDF15 was higher in NW than OB during pregnancy, but was reversed after pregnancy with a significant interaction effect. GDF15 correlated inversely with BMI and fat-free mass at T3. Low GDF15 was associated with lower incidence of nausea and with carrying a male foetus. The pregnancy induced increase in GDF15 associated with increased HOMA-B in OB and with reduced fasting glucose in all women. Conclusion Large gestational upregulation of GDF15 levels may help increase insulin secretory function to overcome pregnancy-induced insulin resistance.

Detta arbete undersöker möjligheten att estimera intäkter för företag med hjälp av maskininlärning. Datan som modellerna utgår ifrån består av punkter från bolagens balansräkningar och annan offentlig data. Eftersom frågeställningen som arbetet utreder ar outforskad sedan tidigare ligger arbetets huvudsakliga fokus på att utforska vilka metoder som är mest lämpliga för uppgiften samt vilka särdrag i datasetet som har störst inverkan på modellerna. I arbetet utreds frågan med hjälp av fyra olika modeller; Random Forest regression, XGBoost, Minstakvadratmetoden och Lasso. Modellerna utvärderades med kvantitativa mättal såsom R2-varde och absoluta genomsnittliga procentuella felet (MAPE). Den algoritm och slutgiltiga modell som presterade bast utifrån dessa mått var Random Forest regression med genomsnittligt R2-score på 0,8197 och MAPE-score på 0.3864. Denna studie drar slutsatsen att ensemble metoder som XGBoost och Random Forest troligtvis ar mer lämpliga att använda för denna typ av studier i jämförelse med simplare regressionsmodeller såsom Minstakvadratmetoden och Lasso. Avslutningsvis dras slutsatsen att modellerna kan bidra till beslutsunderlaget vid utvärdering av bolag för vilka intäkterna är ok ända. This work examines the possibility of estimating revenue for companies using machine learning. The data on which the models are based consists of points from the companies’ balance sheets and other public data. Since the research area is unexplored prior to this study, the main focus of this thesis is to explore which methods are most suitable for the task and which features in the dataset have the greatest impact on the models. In the study, the issue is investigated with the help of four different models; Random Forest regression, XGBoost, ordinary least squares method and Lasso. The models were evaluated with quantitative measures such as R2 score and mean absolute percentage error (MAPE). The algorithm and final model that performed best based on these measures were Random Forest regression with an average R2 score of 0,8197 and MAPE score of 0.3864. This study concludes that ensemble methods such as XGBoost and Random Forest are probably more suitable to use for this type of study compared to simpler regression models such as least squares method and Lasso. In conclusion, the models can contribute to the initial financial analysis of companies for which the income is unknown.

Aim Growth differentiation factor 15 (GDF15) increases in serum during pregnancy to levels not seen in any other physiological state and is suggested to be involved in pregnancy-induced nausea, weight regulation and glucose metabolism. The main action of GDF15 is regulated through a receptor of the brainstem, i.e., through exposure of GDF15 in both blood and cerebrospinal fluid (CSF). The aim of the current study was to measure GDF15 in both CSF and serum during pregnancy, and to compare it longitudinally to non-pregnant levels. Methods Women were sampled at elective caesarean section (n = 45, BMI = 28.1±5.0) and were followed up 5 years after pregnancy (n = 25). GDF15, insulin and leptin were measured in CSF and serum. Additional measurements included plasma glucose, and serum adiponectin and Hs-CRP. Results GDF15 levels were higher during pregnancy compared with follow-up in both CSF (385±128 vs. 115±32 ng/l, PPPP = 0.98). Both CSF and serum GDF15 were highest in women carrying a female fetus (P Conclusion This, the first study to measure CSF GDF15 during pregnancy, demonstrated increased GDF15 levels in both serum and CSF during pregnancy. The results suggest that effects of GDF15 during pregnancy can be mediated by increases in both CSF and serum levels.