The heterogeneous associations between gestational weight gain and adverse pregnancy outcomes in gestational diabetes mellitus according to abnormal glucose metabolism

Gestational weight trajectory and early offspring growth differed by gestational diabetes: a population-based cohort study

AIMS

To investigate the association of gestational weight gain (GWG) trajectory with early children growth, and explore whether this association varies by gestational diabetes mellitus (GDM) status.

METHODS

Maternal weight and offspring anthropometric outcomes before 36 months were extracted from Electronic Medical Record of Zhoushan, China. GWG trajectory was modeled using latent-class trajectory analysis. Multiple generalized estimating equations models were applied to analyze associations of GWG trajectory categories with early children growth.

RESULTS

Three GWG trajectory classes were identified in all participants (n = 13 424), the non-GDM (n = 10 984) and GDM (n = 2440) groups, respectively. In all participants, the Slow-Rapid pattern was significantly associated with lower length z-scores of offspring (β = -0.084; se = 0.015), compared to the Moderate pattern, while the Rapid-Slow pattern was significantly associated with higher length z-scores (β = 0.083; se = 0.022), with no significant effects on other anthropometric outcomes. Similar results were also observed in the non-GDM group. However, in the GDM group, offspring of mothers with the Rapid-Slow pattern showed significantly higher weight z-scores (β = 0.093; se = 0.046), BMI z-scores (β = 0.113; se = 0.052), and risk of overweight/obesity (OR = 1.40, 95%CI: 1.11, 1.76).

CONCLUSION

GWG trajectory significantly impacted offspring growth before 36 months, with different effects observed based on GDM status. GWG trajectory primarily affected offspring length in the non-GDM group, whereas earlier high weight gain appeared to increase offspring weight, BMI, and risk of overweight/obesity in the GDM group.

Gestational diabetes-combined excess weight gain exacerbates gut microbiota dysbiosis in newborns, associated with reduced abundance of Clostridium, Coriobacteriaceae, and Collinsella

Background

Existing literature indicates that Gestational diabetes mellitus (GDM) and maternal obesity disrupt the normal colonization of the neonatal gut microbiota alone. Still, the combined impact of GDM and excessive gestational weight gain (EGWG) on this process remains under explored. The association between gestational weight gain before/after GDM diagnosis and neonatal gut microbiota characteristics is also unclear.The purpose of this study is to conduct investigation and analysis on the above-mentioned issues, providing a basis for optimizing clinical management plans.

Methods

This study involved 98 mother-infant pairs categorized into GDM and non-GDM groups. The GDM group was further subdivided based on gestational weight gain (GWG) into normal (GDM+NGWG) and excessive (GDM+EGWG) weight gain groups. Neonatal stool samples were collected within 24 hours post-delivery for gut microbiota profiling through 16S rRNA gene sequencing. Statistical analyses explored correlations between total GWG/BMI gain and those before/after GDM diagnosis (t-GWG/GBG; b-GWG/GBG; a-GWG/GBG) with key bacterial taxa.

Results

Notable genus-level changes included enrichment of Escherichia and Klebsiella, and depletion of Bacteroides, Bifidobacterium, Coprococcus, Ruminococcus among GDM-Total and GDM+EGWG groups compared to non-GDM. Further,LEfSe analysis identified 30 differential bacteria taxa between GDM-Total and healthy control groups, which increased to 38 between GDM+EGWG and non-GDM groups, highlighting more pronounced microbial shifts associated with EGWG. Clostridium was negatively correlated with t-GWG and newborn birth weight; The Coriobacteriaceae showed a negative correlation with t-GWG, t-GBG, and a-GBG. Additionally,Collinsella exhibited negative correlations with t-GBG and a-GBG.

Conclusion

This study has identified that the presence of EGWG in GDM mothers further exacerbated neonatal gut microbial perturbations. Total GWG/GBG and those after the diagnosis of GDM were negatively correlated with the abundance of neonatal gut Clostridium, Coriobacteriaceae, and Collinsella. These findings provide new insights for precise prevention and management of GDM.

Ethnic differences in the effects of lifestyle interventions on adverse pregnancy outcomes among women with gestational diabetes mellitus: A systematic review and meta-analysis

AIMS

Lifestyle interventions are widely used among women with gestational diabetes mellitus (GDM). This study aimed to assess the ethnic disparities in the effectiveness of lifestyle interventions on reducing adverse pregnancy outcomes, particularly macrosomia and neonatal hypoglycemia among women with GDM.

METHODS

We systematically searched the PubMed/MEDLINE, Web of Science, and Cochrane Library databases from January 1, 2000, up to March 31, 2024, to identify randomized controlled trials (RCTs) examining the effects of lifestyle interventions in GDM patients. Subgroup analysis was performed to investigate heterogeneity across different ethnic groups (including Asians, Whites/Caucasians, Hispanics/ Latinos, and Unknown ethnicity). The random effects model was used to calculate the relative risk (RR) and 95% confidence interval (CI).

RESULTS

After applying inclusion and exclusion criteria, twenty-one studies comprising 4567 participants were included. Lifestyle interventions significantly reduced the incidence of macrosomia ((RR = 0.54; 95 % CI: 0.42-0.70, P < 0.001), with consistent effects observed across racial groups. Conversely, lifestyle interventions were associated with a significant reduction in the risk of neonatal hypoglycemia only among Asians (RR = 0.56; 95 % CI: 0.38-0.84, P = 0.004), while no significant effects were observed in Whites/Caucasians or Hispanics/Latinos (all P > 0.05). Sensitivity analyses confirmed the robustness of the findings.

CONCLUSIONS

Regardless of ethnic background, this study emphasizes the significant benefits of lifestyle interventions in reducing the risk of macrosomia among women with GDM. However, lifestyle interventions seem to reduce the risk of neonatal hypoglycemia only among Asians, which warrants further studies.

Triple-Responsive, Multimodal, Visual Electronic Skin toward All-in-One Health Management for Gestational Diabetes Mellitus

Gestational diabetes mellitus (GDM) is one of the most common metabolic disorders during pregnancy, leading to serious complications for pregnant women and a threat to life safety of infants. Therefore, it is particularly important to establish a multipurpose monitoring pathway to important physiological indicators of pregnant women. In this work, three kinds of double network hydrogels are prepared with poly(vinyl alcohol) (PVA), borax, and cellulose ethers with varying substituents of methyl (methyl cellulose, MC), hydroxypropyl (hydroxypropyl cellulose, HPC), or both (hydroxypropyl methyl cellulose, HPMC), respectively. The corresponding toughness (143.9, 102.3, and 135.9 kJ cm-3) and conductivity (0.69, 0.45, and 0.51 S m-1) of the hydrogels demonstrate that PB-MC was endowed with the prominent performance. Molecular dynamics simulations further revealed the essence that hydrogen bond interactions between PVA and cellulose ethers play a critical role in regulating the structure and properties of hydrogels. Thermochromic capsule powders (TCPs) were subsequently doped in to achieve a composite hydrogel (TCPs@PB-MC) to indicate the change in human body temperature. Furthermore, the process of the TCPs@PB-MC response to glucose, pH, and temperature was tracked in-depth through the electrochemical window. This work provides a novel strategy for all-in-one health management of GDM.

The relative validity of a semiquantitative food frequency questionnaire among pregnant women in the United Arab Emirates: The Mutaba'ah study

Background: Food frequency questionnaire (FFQ) is the most frequently used dietary assessment method in estimating dietary intakes in epidemiological studies. Aim: This study aimed to assess the relative validity of a semiquantitative FFQ in evaluating dietary intake among pregnant women in the United Arab Emirates. Methods: Within the Mutaba'ah study, a subsample of 111 pregnant women completed a semiquantitative FFQ and a single 24-hour dietary recall (24-HDR) regarded as the reference method. Absolute and energy-adjusted nutrient and food intakes between the FFQ and 24-HDR were compared using the Wilcoxon signed ranks test, correlations, Bland-Altman analysis, cross-classification, and weighted kappa analysis. Results: There were no significant differences in reported absolute intakes between the FFQ and 24-HDR for carbohydrates, whole grains, white meat, beta-carotene, vitamin K, sodium, and selenium. Spearman's correlation coefficients between the FFQ and 24-HDR ranged from 0.09 (trans fatty acids) to 0.5 (potassium) for absolute intakes. Correlation decreased after energy adjustment. Bland-Altman analysis showed that the FFQ overestimated intakes compared with 24-HDR and that the limits of agreement were wide. The average percentage of pregnant women classified into the same or adjacent quartile of intake by both methods was 73%. Weighted kappa values ranged from -0.02 (white meat) to 0.33 (magnesium). Conclusion: Our findings showed that the semi-quantitative FFQ is a useful tool in ranking pregnant women from the Emirati population according to their dietary intake. However, the validity of some estimated intakes was poor; hence, certain intakes should be interpreted with caution.

The role of lipid dysregulation in gestational diabetes mellitus: Early prediction and postpartum prognosis

Gestational diabetes mellitus (GDM) is a pathological condition during pregnancy characterized by impaired glucose tolerance, and the failure of pancreatic beta-cells to respond appropriately to an increased insulin demand. However, while the majority of women with GDM will return to normoglycemia after delivery, they have up to a seven times higher risk of developing type 2 diabetes during midlife, compared with those with no history of GDM. Gestational diabetes mellitus also increases the risk of multiple metabolic disorders, including non-alcoholic fatty liver disease, obesity, and cardiovascular diseases. Lipid metabolism undergoes significant changes throughout the gestational period, and lipid dysregulation is strongly associated with GDM and the progression to future type 2 diabetes. In addition to common lipid variables, discovery-based omics techniques, such as metabolomics and lipidomics, have identified lipid biomarkers that correlate with GDM. These lipid species also show considerable potential in predicting the onset of GDM and subsequent type 2 diabetes post-delivery. This review aims to update the current knowledge of the role that lipids play in the onset of GDM, with a focus on potential lipid biomarkers or metabolic pathways. These biomarkers may be useful in establishing predictive models to accurately predict the future onset of GDM and type 2 diabetes, and early intervention may help to reduce the complications associated with GDM.