Myriam Doyon

Lower Adiponectin Levels at First Trimester of Pregnancy Are Associated With Increased Insulin Resistance and Higher Risk of Developing Gestational Diabetes Mellitus

OBJECTIVE To evaluate the associations between adiponectin levels and 1) the risk of developing gestational diabetes mellitus (GDM), and 2) insulin resistance/sensitivity, β-cell function, and compensation indices in a prospective cohort representative of the general population of pregnant women. RESEARCH DESIGN AND METHODS We performed anthropometric measurements and collected blood samples at 1st (6–13 weeks) and 2nd (24–28 weeks) trimesters. Diagnosis of GDM was made at 2nd trimester based on a 75-g oral glucose tolerance test (International Association of the Diabetes and Pregnancy Study Groups criteria). Insulin was measured (ELISA; Luminex) to estimate homeostasis model assessment of insulin resistance (HOMA-IR), β-cell function (HOMA-B), insulin sensitivity (Matsuda index), insulin secretion (AUCinsulin/glucose), and β-cell compensation (insulin secretion sensitivity index-2). Adiponectin was measured by radioimmunoassay. RESULTS Among the 445 participants included in this study, 38 women developed GDM. Women who developed GDM had lower 1st-trimester adiponectin levels (9.67 ± 3.84 vs. 11.92 ± 4.59 µg/mL in women with normal glucose tolerance). Lower adiponectin levels were associated with higher risk of developing GDM (OR, 1.12 per 1 µg/mL decrease of adiponectin levels; P = 0.02, adjusted for BMI and HbA1c at 1st trimester). Adiponectin levels at 1st and 2nd trimesters were associated with HOMA-IR (both: r = −0.22, P < 0.0001) and Matsuda index (r = 0.28, P < 0.0001, and r = 0.29, P < 0.0001). After adjustment for confounding factors, we found no significant association with HOMA-B and AUCinsulin/glucose. CONCLUSIONS Pregnant women with lower adiponectin levels at 1st trimester have higher levels of insulin resistance and are more likely to develop GDM independently of adiposity or glycemic measurements.

Mendelian randomization supports causality between maternal hyperglycemia and epigenetic regulation of leptin gene in newborns

Leptin is an adipokine that acts in the central nervous system and regulates energy balance. Animal models and human observational studies have suggested that leptin surge in the perinatal period has a critical role in programming long-term risk of obesity. In utero exposure to maternal hyperglycemia has been associated with increased risk of obesity later in life. Epigenetic mechanisms are suspected to be involved in fetal programming of long term metabolic diseases. We investigated whether DNA methylation levels near LEP locus mediate the relation between maternal glycemia and neonatal leptin levels using the 2-step epigenetic Mendelian randomization approach. We used data and samples from up to 485 mother-child dyads from Gen3G, a large prospective population-based cohort. First, we built a genetic risk score to capture maternal glycemia based on 10 known glycemic genetic variants (GRS10) and showed it was an adequate instrumental variable (β = 0.046 mmol/L of maternal fasting glucose per additional risk allele; SE = 0.007; P = 7.8 × 10−11; N = 467). A higher GRS10 was associated with lower methylation levels at cg12083122 located near LEP (β = −0.072 unit per additional risk allele; SE = 0.04; P = 0.05; N = 166). Direction and effect size of association between the instrumental variable GRS10 and methylation at cg12083122 were consistent with the negative association we observed using measured maternal glycemia. Lower DNA methylation levels at cg12083122 were associated with higher cord blood leptin levels (β = −0.17 log of cord blood leptin per unit; SE = 0.07; P = 0.01; N = 170). Our study supports that maternal glycemia is part of causal pathways influencing offspring leptin epigenetic regulation.

TNFα Dynamics During the Oral Glucose Tolerance Test Vary According to the Level of Insulin Resistance in Pregnant Women

INTRODUCTION TNFα is suspected to play a role in inflammation and insulin resistance leading to higher risk of metabolic impairment. Controversies exist concerning the role of TNFα in gestational insulin resistance. We investigated the interrelations between TNFα and insulin resistance in a large population-based cohort of pregnant women. METHODS Women (n = 756) were followed prospectively at 5-16 weeks and 24-28 weeks of pregnancy. Anthropometric measures and blood samples were collected at both visits. A 75-g oral glucose tolerance test (OGTT) was conducted at the second trimester to assess insulin sensitivity status (homeostasis model of assessment of insulin resistance and Matsuda index). TNFα was measured at the first trimester (nonfasting) and at each time point of the OGTT. RESULTS Participants were 28.4 ± 4.4 years old and had a mean body mass index of 25.5 ± 5.5 kg/m(2) at first trimester. Median TNFα levels were 1.56 (interquartile range, 1.18-2.06) pg/mL at first trimester and 1.61 (interquartile range, 1.12-2.13) pg/mL at second trimester (1 h after glucose load). At second trimester, higher TNFα levels were associated with higher insulin resistance index levels (r = 0.37 and -0.30 for homeostasis model of assessment of insulin resistance and Matsuda index, respectively; P < .0001), even after adjustment for age, body mass index, triglycerides, and adiponectin. Women with higher insulin resistance showed a continuing decrease in TNFα levels during the OGTT, whereas women who were more insulin sensitive showed an increase in TNFα at hour 1 and a decrease at hour 2 of the test. CONCLUSION Higher insulin resistance is associated with higher levels of circulating TNFα at first and second trimesters of pregnancy. TNFα level dynamics during an OGTT at second trimester vary according to insulin-resistance state.

Validation of a DNA methylation reference panel for the estimation of nucleated cells types in cord blood

ABSTRACT Cord blood is widely used as surrogate tissue in epigenome-wide association studies of prenatal conditions. Cell type composition variation across samples can be an important confounder of epigenome-wide association studies in blood that constitute a mixture of cells. We evaluated a newly developed cord blood reference panel to impute cell type composition from DNA methylation levels, including nucleated red blood cells (nRBCs). We estimated cell type composition from 154 unique cord blood samples with available DNA methylation data as well as direct measurements of nucleated cell types. We observed high correlations between the estimated and measured composition for nRBCs (r = 0.92, R2 = 0.85), lymphocytes (r = 0.77, R2 = 0.58), and granulocytes (r = 0.72, R2 = 0.52), and a moderate correlation for monocytes (r = 0.51, R2 = 0.25) as well as relatively low root mean square errors from the residuals ranging from 1.4 to 5.4%. These results validate the use of the cord blood reference panel and highlight its utility and limitations for epidemiological studies.

Adoption of American Heart Association 2020 Ideal Healthy Diet Recommendations Prevents Weight Gain in Young Adults

In 2010, the American Heart Association established the concept of ideal cardiovascular health. Nationally representative data estimated that <1% of Americans meet the seven health metrics required for achieving ideal cardiovascular health, with the main challenge residing in meeting the criteria for an ideal Healthy Diet Score. In a cohort of young adults (N=196), we aimed to investigate the prevalence of ideal cardiovascular health and ideal Healthy Diet Score and its association to weight gain over a 4-year follow-up period. Anthropometric measures, blood pressure, and blood samples were taken according to standardized procedures. Dietary intake was measured by a 3-day food diary and verified by a registered dietitian. We observed that only 0.5% of our sample met the criteria for ideal cardiovascular health and only 4.1% met the criteria for an ideal Healthy Diet Score. The components of the Healthy Diet Score with the lowest observance were consumption of fruits and vegetables (9.7%) and whole grains (14.8%). Meeting zero or one out of five of the Healthy Diet Score components was associated with increased risk of weight gain over 4 years compared with meeting at least two components (P=0.03). With the exception of dietary criteria, prevalence was high for achieving ideal levels of the remaining six cardiovascular health metrics. In conclusion, in this sample of young adults, a very low prevalence of ideal overall cardiovascular health was observed, mainly driven by poor dietary habits, and a poor Healthy Diet Score was associated with increased weight gain.

Genetics of Glucose regulation in Gestation and Growth (Gen3G): a prospective prebirth cohort of mother-child pairs in Sherbrooke, Canada.

Purpose We initiated the Genetics of Glucose regulation in Gestation and Growth (Gen3G) prospective cohort to increase our understanding of biological, environmental and genetic determinants of glucose regulation during pregnancy and their impact on fetal development. Participants Between January 2010 and June 2013, we invited pregnant women aged ≥18 years old who visited the blood sampling in pregnancy clinic in Sherbrooke for their first trimester clinical blood samples: 1034 women accepted to participate in our cohort study. Findings to date At first and second trimester, we collected demographics and lifestyle questionnaires, anthropometry measures (including fat and lean mass estimated using bioimpedance), blood pressure, and blood samples. At second trimester, women completed a full 75 g oral glucose tolerance test and we collected additional blood samples. At delivery, we collected cord blood and placenta samples; obstetrical and neonatal clinical data were abstracted from electronic medical records. We also collected buffy coats and extracted DNA from maternal and/or offspring samples (placenta and blood cells) to pursue genetic and epigenetic hypotheses. So far, we have found that low adiponectin and low vitamin D maternal levels in first trimester predict higher risk of developing gestational diabetes. Future plans We are now in the phase of prospective follow-up of mothers and offspring 3 and 5 years postdelivery to investigate the consequences of maternal dysglycaemia during pregnancy on offspring adiposity and metabolic profile. Trial registration number NCT01623934.

Preeclampsia is associated with an increased pro-inflammatory profile in newborns

Hypertensive disorders of pregnancy (HDP) lead to high rates of maternal and fetal morbidity. Existing studies on inflammatory marker TNFα in HDP offspring are inconsistent. We performed a population-based cohort study of 636 pregnancies, including normotensive (NT) women and women with preeclampsia (PE) or gestational hypertension (GH). TNFα was measured in maternal blood in the first and second trimesters and in cord blood at the time of delivery. Cord blood TNFα was higher in offspring delivered of women with PE (6.53 [4.94-8.38]pg/mL) versus those delivered of NT women (5.13 [4.11-6.72]pg/mL; p=0.01), independent of confounders. Maternal TNFα levels were not different among groups (p>0.1) in either the first or second trimester.

Lower leptin levels are associated with higher risk of weight gain over 2 years in healthy young adults.

Complete leptin deficiency is associated with weight gain and extreme obesity, according to studies of animals and of monogenic obesity in humans. It is still a matter of debate whether relative leptin deficiency plays a physiologic role in adiposity regulation in free-living humans. We hypothesized that leptin levels would be associated with subsequent weight changes in healthy normal-weight young adults. Our prospective cohort involved 150 healthy young adults (114 women and 36 men) followed over their years of study at the Université de Sherbrooke. Anthropometric measurements, fasting blood samples, 3-day food diaries, and a physical activity questionnaire were collected at baseline. Leptin levels were measured with radioimmunoassay. Associations between baseline leptin levels and subsequent anthropometric changes were assessed with multivariable linear regression models to account for adiposity at baseline, food intake, and energy expenditure. Over the 2-year follow-up, changes in body mass index (BMI) ranged from -0.8 to +2.6 kg·m(-2) in men (mean BMI change, +0.6 kg·m(-2)) and from -2.5 to +3.7 kg·m(-2) in women (mean BMI change, +0.1 kg·m(-2)). Lower leptin levels at baseline were associated with a higher risk of weight gain in women (r = -0.24; p = 0.01 for change in BMI) and in men (r = -0.27, p = 0.11), even after accounting for baseline BMI, total daily caloric intake, and energy expenditure (p = 0.02). In the subsample measured at 4 years (n = 63), baseline leptin levels were not associated with 4-year weight changes. Lower leptin levels are associated with a higher risk of weight gain over 2 years in healthy young adults.

Associations of Maternal Leptin with Neonatal Adiposity Differ according to Pregravid Weight.

Background: During pregnancy, maternal circulating leptin is released by maternal adipose tissue and the placenta, and may have a role in fetal development. Objectives: We investigated maternal leptinemia and glycemia associations with neonatal adiposity, taking into account pregravid weight status. Methods: We included 235 pregnant women from the Genetics of Glucose Regulation in Gestation and Growth prospective cohort with data: blood samples collected during the 2nd trimester, an oral glucose tolerance test (OGTT), and the measured leptin and glucose levels. As an integrated measure of maternal leptin exposure, we calculated the area under the curve for maternal leptin at the OGTT (AUCleptin). Within 72 h of delivery, we measured the triceps, biceps, subscapular, and suprailiac skinfold thicknesses (SFTs); the sum of these SFTs represented neonatal adiposity. We conducted a regression analysis to assess the maternal metabolic determinants of neonatal adiposity, adjusting for parity, smoking status, maternal triglyceride levels, gestational weight gain, placental weight, delivery mode, neonate sex, and gestational age at delivery. Results: The pregravid BMI of the participating women was 23.3 (21.2-27.0). In the 2nd trimester, maternal AUCleptin was 1,292.0 (767.0-2,222.5) (ng × min)/mL, and fasting glucose levels were 4.2 ± 0.4 mmol/L. At delivery, the neonatal sum of 4 SFTs was 17.9 ± 3.3 mm. Higher maternal leptinemia was associated with higher neonatal adiposity (β = 4.23 mm [SE = 1.77] per log-AUCleptin; p = 0.02) in mothers with a BMI ≥25, independently of confounders and maternal glycemia, but not in mothers with a BMI <25. Higher maternal fasting glucose was associated with higher neonatal adiposity (β = 0.88 mm [SE = 0.30] per SD glucose; p = 0.005) in mothers with a BMI <25, independently of confounders and maternal leptinemia. Conclusion: Maternal leptinemia may be associated with neonatal adiposity in offspring from overweight/obese mothers, independently of maternal glycemia.

Differential impact of changes in adiposity distribution on insulin resistance and adiponectin variations over 4 years in normal weight young adults.

The aim of the study was to evaluate the influence of weight gain and changes in adiposity distribution on insulin resistance and circulating adiponectin variations over 4 years in free-living normal weight young adults. In this prospective observational cohort (n=42 women, 18 men), anthropometric measurements and blood samples were collected in the fasting state at baseline and at 4 years. Insulin resistance was estimated using the homeostatic model assessment (HOMA-IR). Circulating adiponectin levels were determined by radioimmunoassay. To investigate increase in adiposity more specifically, subsidiary analyses were performed in a subgroup of individuals (n=31) who gained adiposity over the course of the 4-year follow-up (defined as gain >1% in percent body fat). Regression analyses were performed to adjust for sex, age, parental education, lifestyle, and fitness levels. At baseline, the participants were young adults (age=20.0 years old) in the normal weight range [body mass index (BMI)=22.7 kg/m2 (IQR=21.1-24.4)]. Median change in body fat percentage was +1.4% (IQR=-0.3-3.4; p=0.01) and in waist circumference was +1.2 cm (IQR=-2.6-5.3; p=0.05). In the subgroup of individuals who gained more than 1% body fat, increase in HOMA-IR was associated with an increase in BMI (r=0.44; p=0.01; p<0.01 in fully adjusted model), while decrease in adiponectin levels was associated with an increase in waist circumference (r=-0.38; p=0.03) but this was no longer significant after adjustment for sex and other potential confounders (p=0.14). In a population of young adults, small variations in adiposity within the normal weight range were associated with increase in insulin resistance.