Placental Growth Factor and Pregnancy-Associated Plasma Protein-A as Potential Early Predictors of Gestational Diabetes Mellitus

Modulation of placental angiogenesis by metformin in a rat model of gestational diabetes

Gestational diabetes mellitus (GDM) significantly disrupts placental structure and function, leading to complications such as intrauterine growth restriction (IUGR) and preeclampsia. This study aimed to investigate the effects of GDM on placental histology, angiogenesis, and oxidative stress, as well as evaluate metformin's protective role in mitigating these changes. A total of 60 pregnant Sprague-Dawley rats were divided into four groups: control, metformin-treated, GDM, and GDM with metformin. GDM was induced using streptozotocin (STZ) at 40 mg/kg, and metformin was administered at 200 mg/kg from gestational day (GD) 4 to GD17. Blood glucose and insulin levels were assessed, and Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) was calculated. Placentae were weighed and subjected to histological, immunohistochemical, and molecular analyses, focusing on key angiogenesis markers (VEGF, VEGFR, CD31, KLF2) and oxidative stress indicators (MDA, eNOS). GDM increased placental weight, angiogenesis (elevated VEGF, VEGFR, CD31), and oxidative stress (elevated MDA, eNOS). Histopathological changes included villous edema, membrane rupture, and hemosiderin deposition. Metformin treatment reduced placental weight; normalized VEGF, KLF2, and PlGF expression; and improved placental architecture. Additionally, oxidative stress was significantly reduced in metformin-treated GDM rats. In conclusion, GDM induces placental abnormalities, promoting excessive angiogenesis and oxidative stress, potentially leading to IUGR and other complications. Metformin showed protective effects by reducing placental overgrowth and restoring vascular and oxidative balance. These findings suggest that metformin may play a therapeutic role in improving placental health in GDM pregnancies, warranting further investigation into its long-term effects on fetal development and maternal health.

The correlation between placental growth factor and small for gestational age infants: a matched case-control study

BACKGROUND

At present, research has not found easily accessible, accurate, and safe clinical biomarkers that can effectively predict the occurrence of infants born small for gestational age (SGA). The aim of this study is to explore the predictive role of maternal placental growth factor (PIGF) levels on the occurrence of SGA infants.

METHOD

We conducted a matched case-control study on 226 SGA infants and 226 non-SGA infants born in the Department of Obstetrics, Peking University People's Hospital, from January 2021 to December 2022, with regular monitoring of maternal serum PIGF levels in second trimester during pregnancy. Apply multiple logistic regression analysis and receiver operating characteristic (ROC) curve analysis to determine whether PIGF is an independent influencing factor for the occurrence of SGA in infants, and evaluate whether PIGF can predict the occurrence of SGA in infants.

RESULTS

Multiple logistic regression analysis found that multipara (HR = 0.484, 95% CI = 0.250-0.937, p = 0.031), maternal pre-pregnancy underweight (HR = 4.710, 95% CI = 1.881-11.792, p = 0.001), pre-eclampsia(HR = 2.291, 95% CI = 1.068-4.913, p = 0.033), low levels of PIGF (HR = 26.417, 95% CI = 12.850-54.311, p < 0.001) and oligohydramnios (HR = 4.764, 95% CI = 1.845-12.301, p = 0.001) were independent factors affecting the occurrence of infants born SGA. In addition, ROC curve analysis showed that the area under the curve (AUC) predicted by PIGF level and four other influencing factors for the occurrence of SGA infants were 0.834 and 0.723, respectively. In addition, the combination of PIGF and four other independent influencing factors improved the predictive value (AUC 0.902) for the birth of SGA infants, with enhanced sensitivity and specificity.

CONCLUSION

Low levels of PIGF in second trimester during pregnancy are an independent risk factor for SGA infants. Compared with other indicators, PIGF levels PIGF in second trimester are a better predictor of SGA in infants.

Update on diabetic retinopathy during pregnancy

Diabetes mellitus (DM) leads to several vascular and neurological complications, including diabetic retinopathy (DR). As the population ages, health problems in certain groups, including children and pregnant women, are drawing more and more attention. Pregnancy is one of the independent risk factors for the development and progression of DR. Pregnancy-induced changes may contribute to or worsen DR, which can cause a tremendous burden on public health. It is essential for pregnant women with DR and their offspring to minimize the risk of vision loss from DR in this population and adverse outcomes by understanding the development and processes behind this process. Thus, we have updated the recent situation of epidemiology, evolution characteristics, risk factors, pathophysiology, pregnancy outcomes for a better understanding of the latest status of DR, helping to improve maternal and neonatal pregnancy outcomes, and promoting health for women with DR.

Cellular and Molecular Pathophysiology of Gestational Diabetes

Gestational diabetes (GD) is a metabolic disorder characterized by glucose intolerance during pregnancy, significantly impacting maternal and fetal health. Its global prevalence is approximately 14%, with risk factors including obesity, family history of diabetes, advanced maternal age, and ethnicity, which are linked to cellular and molecular disruptions in glucose regulation and insulin resistance. GD is associated with short- and long-term complications for both the mother and the newborn. For mothers, GD increases the risk of developing type 2 diabetes, cardiovascular diseases, and metabolic syndrome. In the offspring, exposure to GD in utero predisposes them to obesity, glucose intolerance, and metabolic disorders later in life. This review aims to elucidate the complex cellular and molecular mechanisms underlying GD to inform the development of effective therapeutic strategies. A systematic review was conducted using medical subject headings (MeSH) terms related to GD's cellular and molecular pathophysiology. Inclusion criteria encompassed original studies, systematic reviews, and meta-analyses focusing on GD's impact on maternal and fetal health, adhering to PRISMA guidelines. Data extraction captured study characteristics, maternal and fetal outcomes, key findings, and conclusions. GD disrupts insulin signaling pathways, leading to impaired glucose uptake and insulin resistance. Mitochondrial dysfunction reduces ATP production and increases reactive oxygen species, exacerbating oxidative stress. Hormonal influences, chronic inflammation, and dysregulation of the mammalian target of rapamycin (mTOR) pathway further impair insulin signaling. Gut microbiota alterations, gene expression, and epigenetic modifications play significant roles in GD. Ferroptosis and placental dysfunction primarily contribute to intrauterine growth restriction. Conversely, fetal macrosomia arises from maternal hyperglycemia and subsequent fetal hyperinsulinemia, resulting in excessive fetal growth. The chronic inflammatory state and oxidative stress associated with GD exacerbate these complications, creating a hostile intrauterine environment. GD's complex pathophysiology involves multiple disruptions in insulin signaling, mitochondrial function, inflammation, and oxidative stress. Effective management requires early detection, preventive strategies, and international collaboration to standardize care and improve outcomes for mothers and babies.

Proteomics for early prenatal screening of gestational diabetes mellitus

In this editorial, we comment on the article by Cao et al. Through applying isobaric tags for relative and absolute quantification technology coupled with liquid chromatography-tandem mass spectrometry, the researchers observed significant differential expression of 47 proteins when comparing serum samples from pregnant women with gestational diabetes mellitus (GDM) to the healthy ones. GDM symptoms may involve abnormalities in inflammatory response, complement system, coagulation cascade activation, and lipid metabolism. Retinol binding protein 4 and angiopoietin like 8 are potential early indicators of GDM. GDM stands out as one of the most prevalent metabolic complications during pregnancy and is linked to severe maternal and fetal outcomes like pre-eclampsia and stillbirth. Nevertheless, none of the biomarkers discovered so far have demonstrated effectiveness in predicting GDM. Our topic was designed to foster insights into advances in the application of proteomics for early prenatal screening of GDM.

Pancreatic islet adaptation in pregnancy and postpartum

Pancreatic islets, particularly insulin-producing β-cells, are central regulators of glucose homeostasis capable of responding to a variety of metabolic stressors. Pregnancy is a unique physiological stressor, necessitating the islets to adapt to the complex interplay of maternal and fetal-placental factors influencing the metabolic milieu. In this review we highlight studies defining gestational adaptation mechanisms within maternal islets and emerging studies revealing islet adaptations during the early postpartum and lactation periods. These include adaptations in both β and in 'non-β' islet cells. We also discuss insights into how gestational and postpartum adaptation may inform pregnancy-specific and general mechanisms of islet responses to metabolic stress and contribute to investigation of gestational diabetes.

Predictive value of maternal serum placental growth factor levels for discordant fetal growth in twins: a retrospective cohort study

BACKGROUND

Accurate prenatal recognition of discordant fetal growth in twins is critical for deciding suitable management strategies. We explored the predictive value of the level of maternal second-trimester placental growth factor (PLGF) as a novel indicator of discordant fetal growth.

METHODS

A total of 860 women pregnant with twins were enrolled, including 168 women with monochorionic twins (31 cases of discordant fetal growth and 137 without) and 692 with dichorionic twins (79 cases of discordant fetal growth and 613 without). Maternal second-trimester PLGF concentrations were measured via immunofluorescence.

RESULTS

Maternal second-trimester PLGF levels were significantly lower in women pregnant with twins who subsequently developed discordant fetal growth than in those who did not (monochorionic twin pregnancy: P < 0.001; dichorionic twin pregnancy: P < 0.001). A 3-4 fold difference in median PLGF concentrations was detected between the two groups with both monochorionic and dichorionic twin pregnancies. Maternal second-trimester PLGF levels were significantly correlated with birth weight differences (monochorionic twin pregnancy: r =  - 0.331, P < 0.001; dichorionic twin pregnancy: r =  - 0.234, P < 0.001). A receiver operating characteristic curve was used to evaluate the predictive efficiency. In monochorionic twin pregnancies, the area under the curve (AUC) was 0.751 (95% confidence interval [CI]: 0.649-0.852), and the cutoff value was 187.5 pg/mL with a sensitivity of 77.4% and specificity of 71.0%. In dichorionic twin pregnancies, the AUC was 0.716 (95% CI; 0.655-0.777), and the cutoff value was 252.5 pg/mL with a sensitivity of 65.1% and specificity of 69.6%. Based on the above cutoff values, univariate and multivariate logistic regression analyses were performed to calculate the odds ratios (OR) for the PLGF levels. After adjustment for potential confounding factors, low PLGF concentrations still significantly increased the risk of discordant fetal growth (monochorionic twin pregnancy: adjusted OR: 7.039, 95% CI: 2.798-17.710, P < 0.001; dichorionic twin pregnancy: adjusted OR: 4.279, 95% CI: 2.572-7.120, P < 0.001).

CONCLUSIONS

A low maternal second-trimester PLGF level is considered a remarkable risk factor and potential predictor of discordant fetal growth. This finding provides a complementary screening strategy for the prediction of discordant fetal growth and offers a unique perspective for the subsequent research in this field.

Unraveling the Predictive Power: Placenta Growth Factor and Pregnancy-Associated Plasma Protein A in Pre-eclampsia

This review provides a comprehensive exploration of the roles of placenta growth factor (PlGF) and pregnancy-associated plasma protein A (PAPP-A) in the context of pre-eclampsia, a pregnancy-related hypertensive disorder with significant implications for maternal and fetal health. The background elucidates the clinical significance of pre-eclampsia, highlighting its prevalence and impact. The review delves into the biological importance of PlGF and PAPP-A, emphasizing their critical roles in normal placental development and their dysregulation in pre-eclampsia. Notably, altered levels of these biomarkers emerge as potential diagnostic indicators, offering insights into the pathophysiology of the disorder. The exploration of pathophysiological mechanisms, including angiogenic imbalance and placental dysfunction, provides a nuanced understanding of pre-eclampsia's molecular landscape. The therapeutic implications of targeting PlGF and PAPP-A open avenues for future research, aiming at effective intervention strategies. The conclusion summarizes key findings, outlines implications for future research, and underscores the crucial role of PlGF and PAPP-A in understanding and managing pre-eclampsia, with the ultimate goal of improving outcomes for both mothers and infants.

Meta-analysis for the relationship between circulating pregnancy-associated plasma protein A and placenta accreta spectrum

BACKGROUND

Changes in circulating pregnancy-associated plasma protein A (PAPP-A) have been observed in women with a placenta accreta spectrum (PAS). However, no consensus has been reached according to the previous studies. Our study investigated the relationship between circulating PAPP-A and PAS risk through a systematic review and meta-analysis.

METHODS

Studies comparing the circulating level of PAPP-A between pregnant women with and without PAS were obtained by searching the Medline, Cochrane Library, Embase, CNKI, and Wanfang databases from the inception of the databases until February 12, 2023. Heterogeneity was considered in the pooling of results via a random-effects model.

RESULTS

Eight observational studies were obtained for the meta-analysis, which included 243 pregnant women with PAS and 1599 pregnant women without PAS. For all these women, the first-trimester circulating level of PAPP-A was measured by immunoassay and reported as multiples of the median (MoM) values. The pooled results showed that compared to those who did not develop PAS, women with PAS had significantly higher first-trimester serum level PAPP-A (mean difference: 0.43 MoM, 95% confidence interval [CI]: 0.30 to 0.56, P < .001; I2 = 32%). Furthermore, a high first-trimester serum PAPP-A level was related to a high PAS risk (odds ratio: 2.89, 95% CI: 2.13 to 3.92, P < .001; I2 = 0%). Sensitivity analysis which excluded one study at a time, also obtained similar results (p all < 0.05).

CONCLUSION

Pregnant women with a high serum PAPP-A level in the first trimester may be at an increased risk for PAS.

Establishment of the fetal-maternal interface: developmental events in human implantation and placentation

Early pregnancy is a complex and well-orchestrated differentiation process that involves all the cellular elements of the fetal-maternal interface. Aberrant trophoblast-decidual interactions can lead to miscarriage and disorders that occur later in pregnancy, including preeclampsia, intrauterine fetal growth restriction, and preterm labor. A great deal of research on the regulation of implantation and placentation has been performed in a wide range of species. However, there is significant species variation regarding trophoblast differentiation as well as decidual-specific gene expression and regulation. Most of the relevant information has been obtained from studies using mouse models. A comprehensive understanding of the physiology and pathology of human implantation and placentation has only recently been obtained because of emerging advanced technologies. With the derivation of human trophoblast stem cells, 3D-organoid cultures, and single-cell analyses of differentiated cells, cell type-specific transcript profiles and functions were generated, and each exhibited a unique signature. Additionally, through integrative transcriptomic information, researchers can uncover the cellular dysfunction of embryonic and placental cells in peri-implantation embryos and the early pathological placenta. In fact, the clinical utility of fetal-maternal cellular trafficking has been applied for the noninvasive prenatal diagnosis of aneuploidies and the prediction of pregnancy complications. Furthermore, recent studies have proposed a viable path toward the development of therapeutic strategies targeting placenta-enriched molecules for placental dysfunction and diseases.