Genetic Ablation of C/EBPα-p300 Pathway Blocks Development of Obese Pregnancy Associated Liver Disorders in Offspring

BACKGROUND & AIMS

The obesity-associated nonalcoholic fatty liver disease represents a common cause of pediatric liver diseases, including the pediatric liver cancer hepatoblastoma. The mechanisms behind the development of fatty liver in children are not yet known. We examined the role of the C/EBPα-p300 pathway in the development of maternal obesity-associated fatty liver phenotype in offspring.

METHODS

Because the ability of C/EBPα to promote fatty liver phenotype is enhanced by CDK4-mediated phosphorylation of C/EBPα at Ser193 and subsequent formation of C/EBPα-p300 complexes, we used wild-type (WT) and C/EBPα-S193D and C/EBPα-S193A mutant mice to study the effects of maternal high-fat diet (HFD) on the liver health of offspring. The females of these mouse lines were fed an HFD before mating, and the pups were further subjected to either an HFD or a normal diet for 12 weeks.

RESULTS

WT female mice on the HFD before and during pregnancy and their subsequent offspring on the HFD had severe fatty liver, fibrosis, and an increased rate of liver proliferation. However, the HFD in C/EBPα-S193A mice did not cause development of these disorders. In HFD-HFD treated WT mice, C/EBPα is phosphorylated at Ser193 and forms complexes with p300, which activate expression of genes involved in development of fatty liver, fibrosis, and proliferation. However, S193A-C/EBPα mice do not have complexes of C/EBPα-S193A with p300, leading to a lack of activation of genes of fatty liver, fibrosis, and proliferation. The mutant C/EBPα-S193D mice have accelerated cdk4-dependent pathway and have developed steatosis at early stages.

CONCLUSIONS

These studies identified the epigenetic cause of obese pregnancy-associated liver diseases and suggest a potential therapy based on inhibition of cdk4-ph-S193-C/EBPα-p300 pathway.

High maternal adiposity during pregnancy programs an imbalance in the lipidome and predisposes to diet-induced hepatosteatosis in the offspring

BACKGROUND

Exposure to high maternal adiposity in utero is a significant risk factor for the later-life development of metabolic syndrome (MetS), including non-alcoholic fatty liver disease (NAFLD). We have previously shown that high pre-pregnancy adiposity programs adipose tissue dysfunction in the offspring, leading to spillover of fatty acids into the circulation, a key pathogenic event in obesity-associated MetS. Herein, we hypothesized that programming of adipose tissue dysfunction in offspring born to overweight dams increases the risk for developing NAFLD.

RESULTS

Females heterozygous for leptin receptor deficiency (Hetdb) were used as a model of high pre-pregnancy adiposity. Female wild-type (Wt) offspring born to Hetdb pregnancies gained significantly more body fat following high-fat/fructose diet (HFFD) compared with Wt offspring born to Wt dams. HFFD increased circulating free fatty acids (FFA) in male offspring of control dams, while FFA levels were similar in HFFD-fed offspring from Wt dams and CD or HFFD-fed Wt offspring from Hetdb dams. Despite female-specific protection from diet-induced FFA spillover, both male and female offspring from Hetdb dams were more susceptible to diet-induced hepatosteatosis. Lipidomic analysis revealed that CD-offspring of overweight dams had decreased hepatic polyunsaturated FA (PUFA) levels compared with control offspring. Changes to saturated FA (SFA) and the de novo lipogenic (DNL) index were diet driven; however, there was a significant effect of the intrauterine environment on FA elongation and Δ9 desaturase activity.

CONCLUSION

High maternal adiposity during pregnancy programs a susceptibility to diet-induced hepatosteatosis.

Association Between Social Determinants of Health Issues and Maternal Obesity Among American Racial/Ethnic Groups

Background and Objective

Social determinants of health impact various clinical health outcomes in the population. We conducted this study to examine the impact of adverse social determinants of health (SDOH) characteristics on maternal obesity among hospitalized pregnant women in the US and its potential differential impact on women of different races/ethnicities.

Methods

The nationwide pregnancy hospitalization data analyzed in this study were collected through the Nationwide Inpatient Sample (NIS) database during 2016-2018. We conducted descriptive analyses to evaluate the relationship between patient characteristics and maternal obesity. Using the adjusted survey logistic regression model, we calculated the independent association between social determinants of health (SDOH) risk factors and hospitalization characteristics (exposure) and maternal obesity (outcome). Lastly, stratified survey logistic regression models were created for each racial/ethnic group to examine the differential impact in the association between SDOH issues and maternal obesity.

Results

The prevalence of SDOH issues was highest in non-Hispanic (NH) Black women (6.59 per 1000 hospitalizations), whereas the prevalence of obesity among those with SDOH issues was highest in Hispanic women (15.3 per 100 hospitalizations). We observed that pregnant women with SDOH issues were 1.15 times as likely (95% CI: 1.05-1.25) to experience maternal obesity compared to those without SDOH issues. Relative to their counterparts without SDOH issues, Hispanics and NH-Others with SDOH issues had increased odds of obesity, whereas NH-White and NH-Black mothers with SDOH had similar odds of obesity (p>0.05).

Conclusion and Global Health Implications

In conclusion, pregnant women with SDOH issues had an increased likelihood of obesity diagnosis and the association demonstrated differential impact across racial/ethnic sub-populations. This information has potential utility for counseling and formulation of targeted interventions for pregnant women.

Maternal diet and obesity shape offspring central and peripheral inflammatory outcomes in juvenile non-human primates

The obesity epidemic affects 40% of adults in the US, with approximately one-third of pregnant women classified as obese. Previous research suggests that children born to obese mothers are at increased risk for a number of health conditions. The mechanisms behind this increased risk are poorly understood. Increased exposure to in-utero inflammation induced by maternal obesity is proposed as an underlying mechanism for neurodevelopmental alterations in offspring. Utilizing a non-human primate model of maternal obesity, we hypothesized that maternal consumption of an obesogenic diet will predict offspring peripheral (e.g., cytokines and chemokines) and central (microglia number) inflammatory outcomes via the diet's effects on maternal adiposity and maternal inflammatory state during the third trimester. We used structural equation modeling to simultaneously examine the complex associations among maternal diet, metabolic state, adiposity, inflammation, and offspring central and peripheral inflammation. Four latent variables were created to capture maternal chemokines and pro-inflammatory cytokines, and offspring cytokine and chemokines. Model results showed that offspring microglia counts in the basolateral amygdala were associated with maternal diet (β = -0.622, p < 0.01), adiposity (β = 0.593, p < 0.01), and length of gestation (β = 0.164, p < 0.05) but not with maternal chemokines (β = 0.135, p = 0.528) or maternal pro-inflammatory cytokines (β = 0.083, p = 0.683). Additionally, we found that juvenile offspring peripheral cytokines (β = -0.389, p < 0.01) and chemokines (β = -0.298, p < 0.05) were associated with a maternal adiposity-induced decrease in maternal circulating chemokines during the third trimester (β = -0.426, p < 0.01). In summary, these data suggest that maternal diet and adiposity appear to directly predict offspring amygdala microglial counts while maternal adiposity influences offspring peripheral inflammatory outcomes via maternal inflammatory state.

Validation of a Strict Obesity Definition Proposed for Asians to Predict Adverse Pregnancy Outcomes in Korean Pregnant Women

BACKGROUND

People are generally considered overweight and obese if their body mass index (BMI) is above 25 kg/m² and 30.0 kg/m², respectively. The World Health Organization proposed stricter criteria for Asians (≥ 23 kg/m²: overweight, ≥ 25 kg/m²: obese). We aimed to verify whether this criteria could predict adverse pregnancy outcomes in Korean women.

METHODS

We included 7,547 Korean women from 12 institutions enrolled between June 2016 and October 2018. Women with no pre-pregnancy BMI data, not Korean, or lost to follow-up were excluded, leaving 6,331. The subjects were categorized into underweight, normal, overweight, class I obesity, and class II/III obesity based on a pre-pregnancy BMI of < 18.5, 18.5-22.9, 23.0-24.9, 25.0-29.9, and ≥ 30.0 kg/m², respectively.

RESULTS

Overall, 13.4%, 63.0%, 11.8%, 9.1%, and 2.6% of women were underweight, normal, and overweight and had class I obesity and class II/III obesity, respectively. In the multivariable analysis adjusted for maternal age, a higher BMI significantly increased the risk of preeclampsia, gestational diabetes, preterm delivery caused by maternal-fetal indications, cesarean section, large for gestational age, and neonatal intensive care unit admission.

CONCLUSION

Adverse pregnancy outcomes started to increase in those with a pre-pregnancy BMI ≥ 23.0 kg/m² after adjusting for maternal age. The modified obesity criteria could help predict adverse pregnancy outcomes in Koreans.

Correlation between Pregnancy Related Weight Gain, Postpartum Weight loss and Obesity: a Prospective Study

Weight gain during pregnancy can be a real risk factor for long-term obesity which has implications in all areas of medicine. This study is designed to assess pregnancy-related weight gain and postpartum weight loss, to identify a possible correlation between weight gain during pregnancy and the risk of obesity in the late postpartum period. The batch comprised 306 women, hospitalized in the Obstetrics and Gynecology Section of the “Nicolae Malaxa” Clinical Hospital between June - November 2017. During this study, we assessed the weight status using the Weight, Body Mass Index, Height, and Abdominal Circumference. These parameters were clinically assessed in three periods pre-pregnancy, early postpartum period, late postpartum period. We also collected data on the evolution of the pregnancy using the anamnesis and the personal pregnancy monitoring sheet. Pregnancy and postpartum period represent a key moment in women’s lives in which the risk of obesity is real. Understanding women experiences with weight changes during pregnancy and postpartum period can improve the management of losing weight following pregnancy, avoid long-term weight gain and so reduce the risk for obesity. Also, the correct management of obesity should include the assessment of somatic disorders that may cause major dysfunction, requiring complex rehabilitation programs.