Maternal Gestational Diabetes Mellitus Modifies the Relationship Between Genetically Determined Body Mass Index During Pregnancy and Childhood Obesity

Motivational factors for dietary intake behavior in gestational diabetes mellitus: A cross-sectional study

Context

Decision-making behavior pertains to the cognitive process where a patient evaluates the advantages and disadvantages of health-related decisions, taking into account their personal preferences, values, and cognitive factors. This behavior is central to the successful implementation of clinical care. Effective decision-making enhances an individual's or organization's response to challenges and opportunities, improves problem-solving capabilities, reduces risks and uncertainties, and facilitates the attainment of desired outcomes.

Objective

The goal of this study was to investigate the current status of dietary choice decision-making in gestational diabetes mellitus and to analyze its influencing factors, and then to find the determining factors and give targeted nursing interventions in order to improve the dietary decision-making ability of gestational diabetes mellitus patients and further standardize their dietary patterns.

Methods

A cross-sectional research design was employed in this study. Convenience sampling was utilized to survey 539 GDM patients attending the obstetrics outpatient clinic and obstetrics ward of a tertiary hospital in Wuxi City, China, from March 2023 to July 2023. The survey instruments used were the General Information Questionnaire, the Motivation to Protect Pregnant Women with Gestational Diabetes Mellitus Dietary Intake Questionnaire, and the Conflict in Decision-Making Scale.

Results

The findings were derived from data collected from 539 GDM cases. The participants' ages ranged from 19 to 52 years, with a mean age of 31.53 ± 4.37 years. The scores for GDM disease perceived susceptibility were 15.200 ± 3.481, disease perceived severity 18.455 ± 4.670, internal reward 13.226 ± 4.275, external reward 8.278 ± 2.923, response efficacy 15.078 ± 3.889, self-efficacy 18.952 ± 4.800, cost of response 14.540 ± 5.227, and decision conflict questionnaire score 70.96 ± 11.78.

Conclusions

The study revealed that GDM patients exhibited a moderate level of decision-making dilemma. Notably, the patients' perceived susceptibility and severity of the disease, along with their response efficacy and self-efficacy, positively influenced their dietary decision-making abilities. Specifically, enhancing patients' awareness of their condition and boosting their self-efficacy significantly improved their decision-making capabilities. Conversely, internal and external rewards, as well as the cost of response, exerted a negative impact on GDM patients' decision-making abilities. Therefore, it is imperative to mitigate potential barriers in GDM patients' dietary intake behaviors, thereby enhancing their decision-making skills related to dietary intake.

Exploring Maternal Diet-Epigenetic-Gut Microbiome Crosstalk as an Intervention Strategy to Counter Early Obesity Programming

Alterations in a mother's metabolism and endocrine system, due to unbalanced nutrition, may increase the risk of both metabolic and non-metabolic disorders in the offspring's childhood and adulthood. The risk of obesity in the offspring can be determined by the interplay between maternal nutrition and lifestyle, intrauterine environment, epigenetic modifications, and early postnatal factors. Several studies have indicated that the fetal bowel begins to colonize before birth and that, during birth and nursing, the gut microbiota continues to change. The mother's gut microbiota is primarily transferred to the fetus through maternal nutrition and the environment. In this way, it is able to impact the establishment of the early fetal and neonatal microbiome, resulting in epigenetic signatures that can possibly predispose the offspring to the development of obesity in later life. However, antioxidants and exercise in the mother have been shown to improve the offspring's metabolism, with improvements in leptin, triglycerides, adiponectin, and insulin resistance, as well as in the fetal birth weight through epigenetic mechanisms. Therefore, in this extensive literature review, we aimed to investigate the relationship between maternal diet, epigenetics, and gut microbiota in order to expand on current knowledge and identify novel potential preventative strategies for lowering the risk of obesity in children and adults.

Interactive effects of gestational diabetes and high pre-pregnancy body mass index on adverse growth patterns of offspring

AIMS

To examine the independent and interactive effects of maternal gestational diabetes mellitus (GDM) and high pre-pregnancy body mass index (BMI) on the risk of offspring adverse growth patterns.

MATERIALS AND METHODS

One thousand six hundred and eighty one mother-child pairs were followed for 8 years in Tianjin, China. Group-based trajectory modelling was used to identify offspring growth patterns. Logistic regression was performed to obtain odds ratios (ORs) and 95% confidence intervals (CIs) of GDM and high pre-pregnancy BMI for offspring adverse growth patterns. Restricted cubic spline was used to identify cut-off points. Additive interactions and multiplicative interactions were used to test interactive effects between GDM and high pre-pregnancy BMI for adverse growth patterns.

RESULTS

Four distinct growth patterns were identified in offspring, including normal growth pattern, persistent lean growth pattern, late obesity growth pattern (LOGP), and persistent obesity growth pattern (POGP). Maternal high pre-pregnancy BMI was associated with LOGP and POGP (adjusted OR, 95% CI: 2.38, 1.74-3.25 & 4.92, 2.26-10.73). GDM greatly enhanced the adjusted OR of high pre-pregnancy BMI for LOGP up to 3.48 (95% CI: 2.25-5.38). Additive interactions and multiplicative interactions between both risk factors were significant for LOGP but not for POGP.

CONCLUSIONS

Maternal high pre-pregnancy BMI was associated with increased risk of LOGP and POGP, whereas GDM greatly enhanced the risk of high pre-pregnancy BMI for LOGP.

Precision stratification of prognostic risk factors associated with outcomes in gestational diabetes mellitus: a systematic review

BACKGROUND

The objective of this systematic review is to identify prognostic factors among women and their offspring affected by gestational diabetes mellitus (GDM), focusing on endpoints of cardiovascular disease (CVD) and type 2 diabetes (T2D) for women, and cardiometabolic profile for offspring.

METHODS

This review included studies published in English language from January 1st, 1990, through September 30th, 2021, that focused on the above outcomes of interest with respect to sociodemographic factors, lifestyle and behavioral characteristics, traditional clinical traits, and 'omics biomarkers in the mothers and offspring during the perinatal/postpartum periods and across the lifecourse. Studies that did not report associations of prognostic factors with outcomes of interest among GDM-exposed women or children were excluded.

RESULTS

Here, we identified 109 publications comprising 98 observational studies and 11 randomized-controlled trials. Findings indicate that GDM severity, maternal obesity, race/ethnicity, and unhealthy diet and physical activity levels predict T2D and CVD in women, and greater cardiometabolic risk in offspring. However, using the Diabetes Canada 2018 Clinical Practice Guidelines for studies, the level of evidence was low due to potential for confounding, reverse causation, and selection biases.

CONCLUSIONS

GDM pregnancies with greater severity, as well as those accompanied by maternal obesity, unhealthy diet, and low physical activity, as well as cases that occur among women who identify as racial/ethnic minorities are associated with worse cardiometabolic prognosis in mothers and offspring. However, given the low quality of evidence, prospective studies with detailed covariate data collection and high fidelity of follow-up are warranted.

Exploring Motivations Regarding Dietary Intake Intentions in Gestational Diabetes Mellitus: Development and Validation of a Questionnaire

Purpose

The maintenance of stable blood glucose levels in gestational diabetes patients depends on their ability to make scientific decisions. Decision-making ability is influenced by factors such as preferences, knowledge acquisition, and risk perceptions. At present, problems such as irrational dietary structure, difficulties in decision-making, and poor adherence still exist in clinical practice. The key to guiding gestational diabetes patients in developing their scientific decision-making abilities lies in identifying the weak key points that affect their decision-making abilities. There is a lack of validated tools to assess these patients' perceptions of dietary intake. In this study, we aimed to develop and validate the Dietary Intake Perceived Motivation Questionnaire for Patients with Gestational Diabetes Mellitus with the purpose of accurately identifying the obstacles encountered by gestational diabetes mellitus patients in the development of their scientific decision-making abilities.

Patients and Methods

In this study, 304 individuals with gestational diabetes were recruited from a public hospital in Wuxi, China. The questionnaire was developed in 3 stages, consisting of questionnaire development, a pilot study, and a formal test, and the validity and reliability of the questionnaire were tested and confirmed. The content validity index and exploratory factor analysis were completed by expert correspondence to indicate the validity of the content and structure. In addition, Cronbach's α was used to evaluate the internal consistency of each item of the questionnaire, and Spearman-Brown analysis was used to analyze the split-half reliability. In addition to the questionnaire, the study participants were asked to complete a general information questionnaire that included items on various demographic factors such as age, week of gestation, and mode of conception.

Results

The questionnaire was validated through principal component analysis, resulting in a 31-item questionnaire named the Dietary Intake Perceived Motivation Questionnaire for Patients with Gestational Diabetes Mellitus. This questionnaire explained 86.267% of the variance and demonstrated good internal consistency (Cronbach's α= 0.929).

Conclusion

Our study determined that the questionnaire serves as a valuable tool in evaluating the motivation behind dietary intake in gestational diabetes patients.

The Uterine Environment and Childhood Obesity Risk: Mechanisms and Predictions

PURPOSE OF REVIEW

Childhood obesity is a growing health problem in many populations, hence the urgent need to unravel the underlying mechanisms. Some evidence suggests that exposure to suboptimal intrauterine environments can program foetal metabolic health, with adverse consequences in later life, including susceptibility to childhood obesity.

FINDINGS

Factors such as high and low foetal birth weight, excessive gestational-weight-gain, maternal stress and smoking are all associated with increased risk of childhood obesity in observational studies. Animal models, where both genetic background and the postnatal environment can be carefully controlled, suggest that several different mechanisms, including epigenetic changes, dysregulation of adipose tissue development and programming of appetite, may be key drivers of developmental programming of childhood obesity. However, the influence of genetics and the post-natal environment are much more difficult to disentangle as independent effects in human studies, which are also complicated by low follow-up rates. Suboptimal intrauterine environments interact with maternal and foetal genetics and with the postnatal environment to contribute to the risk of childhood obesity. Maternal metabolic challenges, for example obesity and insulin resistance, contribute to the risk of foetal overgrowth and subsequent adiposity in childhood. To protect the long-term health of populations, research focusing on effective means of identifying and intervening in the transgenerational cycle of childhood obesity is required.

Predictors and risk factors of short-term and long-term outcomes among women with gestational diabetes mellitus (GDM) and their offspring: Moving toward precision prognosis?

As part of the American Diabetes Association Precision Medicine in Diabetes Initiative (PMDI) - a partnership with the European Association for the Study of Diabetes (EASD) - this systematic review is part of a comprehensive evidence evaluation in support of the 2 nd International Consensus Report on Precision Diabetes Medicine. Here, we sought to synthesize evidence from empirical research papers published through September 1 st , 2021 to evaluate and identify prognostic conditions, risk factors, and biomarkers among women and children affected by gestational diabetes mellitus (GDM), focusing on clinical endpoints of cardiovascular disease (CVD) and type 2 diabetes (T2D) among women with a history of GDM; and adiposity and cardiometabolic profile among offspring exposed to GDM in utero. We identified a total of 107 observational studies and 12 randomized controlled trials testing the effect of pharmaceutical and/or lifestyle interventions. Broadly, current literature indicates that greater GDM severity, higher maternal body mass index, belonging to racial/ethnic minority group; and unhealthy lifestyle behaviors would predict a woman's risk of incident T2D and CVD, and an unfavorable cardiometabolic profile among offspring. However, the level of evidence is low (Level 4 according to the Diabetes Canada 2018 Clinical Practice Guidelines for diabetes prognosis) largely because most studies leveraged retrospective data from large registries that are vulnerable to residual confounding and reverse causation bias; and prospective cohort studies that may suffer selection and attrition bias. Moreover, for the offspring outcomes, we identified a relatively small body of literature on prognostic factors indicative of future adiposity and cardiometabolic risk. Future high-quality prospective cohort studies in diverse populations with granular data collection on prognostic factors, clinical and subclinical outcomes, high fidelity of follow-up, and appropriate analytical approaches to deal with structural biases are warranted.

Glucose and oxygen in the early intrauterine environment and their role in developmental abnormalities

The early life environment can have profound impacts on the developing conceptus in terms of both growth and morphogenesis. These impacts can manifest in a variety of ways, including congenital fetal anomalies, placental dysfunction with subsequent effects on fetal growth, and adverse perinatal outcomes, or via effects on long-term health outcomes that may not be detected until later childhood or adulthood. Two key examples of environmental influences on early development are explored: maternal hyperglycaemia and gestational hypoxia. These are increasingly common pregnancy exposures worldwide, with potentially profound impacts on population health. We explore what is known regarding the mechanisms by which these environmental exposures can impact early intrauterine development and thus result in adverse outcomes in the immediate, short, and long term.

Prenatal programming of developmental trajectories for obesity risk and early pubertal timing

The thrifty phenotype and fetal overnutrition hypotheses are two developmental hypotheses that originated from the developmental origins of health and disease (DOHaD) perspective. The DOHaD posits that exposures experienced prenatally and early in life may influence health outcomes through altering form and function of internal organs related to metabolic processes. Obesity risk and early pubertal timing might be influenced by similar mechanisms. The thrifty phenotype hypothesis is primarily characterized by experiencing a deprivation of nutrients during gestation paired with an energy rich postnatal environment. The fetal overnutrition hypothesis says that obesity experienced prenatally will be associated with increased lifetime risk of obesity in the offspring. Both hypotheses were tested by examining developmental pathways from genetic and prenatal risk through early growth trajectories (birth to 7 years) to pubertal timing at age 11 years. Participants included 361 children adopted at birth (57% male; 57% non-Hispanic White, 11% Black, 9% Hispanic; adoptive family income Mdn = $70,000-$100,000, birth family income Mdn = < $15,000). Associations between boys' childhood body mass index (BMI) and pubertal timing were confounded by genetics, prenatal risk, and early growth. The thrifty phenotype hypothesis was partially supported for boys' childhood BMI (at ages 4 to 7 years). Both hypotheses were partially supported for girls' childhood BMI but not pubertal timing. A novel Gene × Prenatal Risk interaction showed that genetic risk predicted girls' childhood BMI most strongly at adequate compared with at excessive levels of gestational weight gain. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Sex Discrepancy Observed for Gestational Metabolic Syndrome Parameters and Polygenic Risk Associated With Preschoolers' BMI Growth Trajectory: The Ma'anshan Birth Cohort Study

Background

Few studies have investigated the associations of childhood growth trajectories with the prenatal metabolic risks of mothers and their interaction with children's genetic susceptibility.

Objective

To investigate the effects of gestational metabolic syndrome (GMS) risks and children's polygenic risk scores (PRSs), and their interaction effect on the BMI trajectory and obesity risk of offspring from birth to 6 years of age.

Methods

A total of 2,603 mother-child pairs were recruited from the Ma'anshan birth cohort (Anhui Province of China) study. Data on maternal prepregnancy obesity, gestational weight gain (GWG), gestational diabetes mellitus (GDM), and hypertensive disorders of pregnancy (HDP) were used to evaluate maternal GMS risk. In addition, 1,482 cord blood samples were used to genotype 11 candidate single-nucleotide polymorphisms (SNPs) to calculate children's PRSs. The latent class growth model using the longitudinal BMI-for-age z scores (BMIz) was applied to validly capture the BMIz growth trajectory.

Results

Maternal GMS status was associated with higher BMIz scores and with an increased risk of overweight/obesity. Positive relationships were revealed between PRS and the risk of overweight/obesity among girls. Additionally, maternal GMS significantly interacted with the child's PRS on BMIz scores and the risk of overweight/obesity among girls. Hierarchical BMI trajectory graphs by different exposure groups showed consistent findings, and both boys' and girls' BMIz trajectories were divided into three groups. Among girls, the higher the GMS risk or PRS they had, the higher the probability of being in the high BMIz trajectory group.

Conclusions

Maternal GMS status increased BMIz scores and the risk of obesity in both boys and girls and elevated the child's BMI trajectory from birth to 6 years of age among girls. PRSs were significantly associated with children's BMI trajectory and the risk of obesity and modified the associations between maternal GMS status and obesity biomarkers only among girls. Thus, regarding childhood obesity, steps should be taken to decrease maternal metabolic risks before and during pregnancy, and sex discrepancies should be noted to identify high-risk populations after birth to hierarchically manage them.

Novel metabolic marker Afamin: A predictive factor for Large-for-Gestational-Age (LGA) fetus estimation in pregnancies with gestational diabetes mellitus?

OBJECTIVE

Gestational diabetes mellitus (GDM) affects both maternal and fetal/infant outcomes during and after pregnancy. The reason for the high incidence of large-for-gestational-age (LGA) infants in GDM patients despite close monitorization of glucose levels with early detection of the disease remains unclear to date. Our study aims to investigate the levels of the third-trimester novel marker afamin in GDM versus non-GDM pregnancies in terms of glycemic control status and their utility in the prediction of LGA fetuses.

MATERIAL AND METHODS

This prospective case-control study analysis involved 49 pregnant women with GDM diagnosed using the 75-g oral glucose tolerance test (75-g OGTT) and 40 randomly selected women with a similar body mass index (BMI) and gestational age (GA). Blood samples were collected in the third trimester of pregnancy. The afamin level was determined using a human afamin ELISA kit according to the manufacturer's procedure.

RESULTS

There was no significant difference found in BMI or GA of patients. Third-trimester afamin levels were 93.91 mg/L and 83.87 mg/L in the GDM and non-GDM groups, respectively (p=0.625). Afamin values of patients were not correlated with age, BMI, GA, HgA1c, 75-g OGTT fasting and 75-g OGTT 1-hour, or 75-g OGTT 2-hour values (p>0.05). GDM patients with LGA fetuses had significantly higher afamin values than patients with appropriate-for-gestational-age (AGA) fetuses (120.8 mg/L versus 91.26 mg/L, respectively). Between GDM patients with either LGA or AGA fetuses, there was no statistically significant difference found for age, BMI, GAs, insulin dose, 75-g OGTT results, or HgA1c values.

CONCLUSION

Our findings conclude that novel marker afamin levels could predict the risk of LGA infants independently of glycemic control status and provide insight into the pathogenesis of LGA fetuses, thus helping to reduce the risk of associated complications.

Epigenetic Modifications Associated with Exposure to Endocrine Disrupting Chemicals in Patients with Gestational Diabetes Mellitus

Gestational diabetes mellitus (GDM) remains a significant clinical and public health issue due to its increasing prevalence and the possibility for numerous short- and long-term complications. The growing incidence of GDM seems to coincide with the widespread use of endocrine disrupting chemicals (EDCs). The extensive production and common use of these substances in everyday life has resulted in constant exposure to harmful substances from the environment. That may result in epigenetic changes, which may manifest themselves also after many years and be passed on to future generations. It is important to consider the possible link between environmental exposure to endocrine disrupting chemicals (EDCs) during pregnancy, epigenetic mechanisms and an increased risk for developing gestational diabetes mellitus (GDM). This manuscript attempts to summarize data on epigenetic changes in pregnant women suffering from gestational diabetes in association with EDCs. There is a chance that epigenetic marks may serve as a tool for diagnostic, prognostic, and therapeutic measures.

Association Analysis in Children Born from Normal and Complicated Pregnancies-Cardiovascular Disease Associated microRNAs and the Incidence of Prehypertension/Hypertension, Overweight/Obesity, Valve Problems and Heart Defects

The goal was to assess how a history of any kind of pregnancy-related complication altered expression profile of microRNAs played a role in the pathogenesis of diabetes, cardiovascular and cerebrovascular diseases in the peripheral blood leukocytes of children at the age of 3–11 years. The prior exposure to gestational hypertension, preeclampsia, fetal growth restriction, gestational diabetes mellitus, preterm prelabor rupture of membranes or spontaneous preterm birth causes that a significant proportion of children (57.42% to 90.0% specifically) had a substantially altered microRNA expression profile, which might be the origin of a lifelong cardiovascular risk. A total of 23 out of 29 tested microRNAs were upregulated in children born from such complicated gestation. The occurrence of overweight, obesity, valve problems and heart defects even intensified upregulation of microRNAs already present in children exposed to such pregnancy complications. The occurrence of overweight/obesity (miR-92a-3p, and miR-210-3p) and valve problems or heart defects (miR-342-3p) induced microRNA upregulation in children affected with pregnancy complications. Overall, 42.86% overweight/obese children and 27.36% children with valve problems or heart defects had even higher microRNA levels than children with normal clinical findings after complicated pregnancies. In addition, the microRNA expression profile was also able to differentiate between children descending from normal gestation in relation to the occurrence of overweight and obesity. Screening on the base of the combination of 19 microRNAs identified 70.0% overweight/obese children at 90.0% specificity. In general, children after complicated pregnancies, just as children after normal pregnancies, with abnormal findings are at a higher risk of the onset of cardiovascular complications, and their dispensarization, with the aim to implement primary prevention strategies, would be beneficial.