Pregnancy-associated Plasma protein-A Research Articles

Associations between first-trimester screening biomarkers and maternal characteristics with gestational diabetes mellitus in Chinese women.

Gestational diabetes mellitus (GDM) can result in adverse maternal and neonatal outcomes. Predicting those at high risk of GDM and early interventions can reduce the development of GDM. The aim of this study was to examine the associations between first-trimester prenatal screening biomarkers and maternal characteristics in relation to GDM in Chinese women. We conducted a retrospective cohort study of singleton pregnant women who received first-trimester aneuploidy and preeclampsia screening between January 2019 and May 2021. First-trimester prenatal screening biomarkers, including pregnancy-associated plasma protein A (PAPP-A), free beta-human chorionic gonadotropin, and placental growth factor (PLGF), along with maternal characteristics, were collected for analysis in relation to GDM. Receiver operating characteristic (ROC) curve and logistic regression analyses were used to evaluate variables associated with GDM. Of the 1452 pregnant women enrolled, 96 developed GDM. PAPP-A (5.01 vs. 5.73 IU/L, P < 0.001) and PLGF (39.88 vs. 41.81 pg/mL, P = 0.044) were significantly lower in the GDM group than in the non-GDM group. The area under the ROC curve of combined maternal characteristics and biomarkers was 0.73 (95% confidence interval [CI] 0.68-0.79, P < 0.001). The formula for predicting GDM was as follows: P = 1/[1 + exp (-8.148 + 0.057 x age + 0.011 x pregestational body mass index + 1.752 x previous GDM history + 0.95 x previous preeclampsia history + 0.756 x family history of diabetes + 0.025 x chronic hypertension + 0.036 x mean arterial pressure - 0.09 x PAPP-A - 0.001 x PLGF)]. Logistic regression analysis revealed that higher pregestational body mass index (adjusted odds ratio [aOR] 1.03, 95% CI 1.01 - 1.06, P = 0.012), previous GDM history (aOR 9.97, 95% CI 3.92 - 25.37, P < 0.001), family history of diabetes (aOR 2.36, 95% CI 1.39 - 4.02, P = 0.001), higher mean arterial pressure (aOR 1.17, 95% CI 1.07 - 1.27, P < 0.001), and lower PAPP-A level (aOR 0.91, 95% CI 0.83 - 1.00, P= 0.040) were independently associated with the development of GDM. The Hosmer-Lemeshow test demonstrated that the model exhibited an excellent discrimination ability (chi-square = 3.089, df = 8, P = 0.929). Downregulation of first-trimester PAPP-A and PLGF was associated with the development of GDM. Combining first-trimester biomarkers with maternal characteristics could be valuable for predicting the risk of GDM.

The early predictive value of maternal serum PAPP-A concentration at 11-14 weeks of pregnancy for preeclampsia.

To determine the expression and clinical significance of maternal serum pregnancy-associated plasma protein A (PAPP-A) in pregnant women with different degrees of preeclampsia at 11-14 weeks of gestation. The clinical data of 65 pregnant women with preeclampsia admitted to our hospital from January 2020 to October 2022 were retrospectively analysed. Another 45 normal pregnant women who came to our hospital for prenatal examination and delivery during the same period were selected as the healthy control group. The serum contents of PAPP-A, a-fetoprotein (AFP) and free estriol (uE3) in each group were compared. The correlation between PAPP-A and AFP as well as uE3 was analysed by Pearson analysis. The clinical value of serological indexes in diagnosing preeclampsia was analysed using ROC curve. The levels of PAPP-A and uE3 in pregnant women in the preeclampsia group were lower, while the contents of AFP were higher than these in the healthy control group ( p < 0.01). The pregnant women with severe preeclampsia had lower levels of PAPP-A and uE3 with higher levels of AFP compared to these with mild preeclampsia ( p < 0.001). Pearson correlation analysis showed that serum PAPP-A was negatively correlated with AFP ( r = -0.246, p < 0.05) and positively correlated with uE3 ( r = 0.398, p < 0.01) in preeclampsia patients. ROC curve analysis demonstrated that the area under the curve (AUC) of PAPP-A, AFP and uE3 to assist in the diagnosis of preeclampsia was 0.740, 0.738 and 0.806, respectively. The AUC of the combination of PAPP-A, AFP and uE3 to assist in the diagnosis was 0.912, with a sensitivity of 90.38% and a specificity of 80.33%. The clinical assisted diagnostic value of combined detection was high. The serum level of PAPP-A in pregnant women with preeclampsia in the early pregnancy was significantly lower and related to the severity of the disease. The combination of routine detection for AFP and uE3 had a good predictive value for preeclampsia, which was helpful to take relevant interventions to reduce the incidence of preeclampsia as early as possible, and had a positive impact on protecting maternal and infant health.

Genetic analysis of the PAPP-A2 gene and evaluation of free IGF-1, IGFBP-5, and ALS concentrations in a group of 22 patients with idiopathic short stature.

Short stature is one of the main reasons for consultation in outpatient clinics and paediatric endocrinology departments and is defined as height below the 3rd centile or less than -2 standard deviations (SDs). The study's overarching aim was to analyse the PAPP-A2 gene at mutation sites described to date and at exons 3, 4, and 5, which encode the fragment of the catalytic domain with the active site of the pregnancy-associated plasma protein A2 (PAPP-A2) protein. The secondary aims of the study were clinical and auxological analysis of a group of patients with idiopathic short stature and biochemical analysis of growth hormone-insulin-like growth factor-1 (GH-IGF-1) axis parameters not assessed as part of the routine diagnosis of short stature, such as free IGF-1, insulin-like growth factor binding protein 5 (IGFBP-5), and acid-labile subunit (ALS) levels. Molecular analysis of the PAPP-A2 gene was performed using polymerase chain reaction (PCR) and direct sequencing. Biochemical analysis of free IGF-1, IGFBP-5, and ALS was performed by enzyme-linked immunosorbent assay (ELISA). The mean height standard deviation score (HSDS) in the study group was -2.95. None of the patients exhibited previously described mutations in the PAPP-A2 gene or mutations in exons 3, 4, and 5 encoding the fragment of catalytic domain with the active site of the PAPP-A2 protein. In 4 patients, the known, non-pathogenic, heterozygotic polymorphism c.2328C>T(rs10913241) in exon 5 was found. Free IGF-1 levels correlate better with height and HSDS than total IGF-1 levels. The previously described mutations in the PAPP-A2 gene and mutations in exons 3, 4, and 5 encoding the fragment of catalytic domain with the active site of the PAPP-A2 protein were not detected; only the known and non-pathogenic, heterozygotic polymorphism c.2328C>T(rs10913241) in exon 5 of the PAPP-A2 gene was observed.

Decoding 22q11.2: prenatal profiling and first-trimester risk assessment in Danish nationwide cohort.

To examine the distribution of nuchal translucency thickness (NT), free β-human chorionic gonadotropin (β-hCG) and pregnancy-associated plasma protein-A (PAPP-A) in pregnancies with a fetal 22q11.2 aberration. Furthermore, the performance of combined first-trimester screening (cFTS) and a new risk algorithm targeting 22q11.2 deletions in detecting affected pregnancies was evaluated. Finally, prenatal malformations and pregnancy outcome were assessed. This was a nationwide registry-based cohort study of all pregnancies that underwent prenatal screening with a due date between January 2008 and December 2018 in Denmark. All cases with a fetal 22q11.2 deletion or duplication (hg19 chr22:18.9mio-25.0mio) diagnosed pre- or postnatally or following pregnancy loss or termination of pregnancy were retrieved from the Danish Cytogenetic Central Register and linked with pregnancy data from the Danish Fetal Medicine Database. Fetal and maternal characteristics, including cFTS results and pregnancy outcome, of pregnancies with any 22q11.2 deletion or duplication (LCR22-A to -H) and pregnancies with a classic deletion or duplication (LCR22-A to -D) diagnosed by chromosomal microarray were compared with those of a chromosomally normal reference group. A risk algorithm was developed for assessing patient-specific risks for classic 22q11.2 deletions based on NT, PAPP-A and β-hCG. Detection rates and false-positive rates at different risk cut-offs were calculated. We included data on 143 pregnancies with a fetal 22q11.2 aberration, of which 97 were deletions (54 classic) and 46 were duplications (32 classic). NT was significantly increased in fetuses with a classic deletion (mean, 1.89 mm), those with any deletion (mean, 1.78 mm) and those with any duplication (mean, 1.86 mm) compared to the reference group (mean, 1.65 mm). β-hCG multiples of the median (MoM) was decreased in all 22q11.2 subgroups compared with the reference group (mean, 1.02) and reached significance in pregnancies with a classic deletion and those with any deletion (mean, 0.77 and 0.71, respectively). PAPP-A MoM was significantly decreased in pregnancies with a classic duplication and those with any duplication (mean, 0.57 and 0.63, respectively), and was significantly increased in pregnancies with a classic deletion and those with any deletion (mean, 1.34 and 1.16, respectively), compared to reference pregnancies (mean, 1.01). The screen-positive rate by cFTS was significantly increased in pregnancies with a classic deletion (13.7%), any deletion (12.5%), a classic duplication (46.9%) or any duplication (37.8%) compared to the reference group (4.5%). A risk algorithm targeting classic 22q11.2 deletions more than doubled the prenatal detection rate of classic 22q11.2 deletions, but with a substantial increase in the false-positive rate. Structural malformations were detected in 41%, 35%, 17% and 25% of the pregnancies with a classic deletion, any deletion, classic duplication or any duplication, respectively. Pregnancy loss occurred in 40% of pregnancies with a classic deletion and 5% of those with a classic duplication diagnosed prenatally or following pregnancy loss. The distribution of cFTS markers in pregnancies with a classic 22q11.2 duplication resembles that of the common trisomies, with decreased levels of PAPP-A. However, classic 22q11.2 deletions are associated with increased levels of PAPP-A, which likely limits early prenatal detection using the current cFTS risk algorithm. The scope for improving early detection of classic 22q11.2 deletions using targeted risk algorithms based on NT, PAPP-A and β-hCG is limited. This demonstrates the capability, but also the limitations, of cFTS markers in detecting atypical chromosomal anomalies, which is important knowledge when designing new prenatal screening programs. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

Relationship between first trimester maternal PAPP-A (pregnancy associated plasma protein-A) and free β-hCG (human chorionic gonadotropin) levels with fetal birth weight

Relationship between first trimester maternal PAPP-A (pregnancy associated plasma protein-A) and free β-hCG (human chorionic gonadotropin) levels with fetal birth weight

Поздние преждевременные спонтанные роды: версии и контраверсии

Aim. To study modern ideas about late premature spontaneous labor, identify unresolved issues and identify tasks for further research on this theme. Key points. The problem of late premature labor occupies a leading position in modern obstetrics and perinatology. Currently, there is no single opinion and no identical approaches in predicting late premature spontaneous labor. This prevents the creation of a single algorithm of actions to prevent them. The article presents up-to-date information on the marker serum proteins and transcriptomic analysis of the placenta, as well as highlights some aspects of the pathogenesis of premature labor on the model of fetoplacental homeostasis disorders. Conclusion. To reduce the risk of adverse outcomes of late premature spontaneous labor, it is necessary to create clear criteria for their prediction and early diagnosis, as well as timely implementation of organizational and therapeutic measures for this obstetric complication. Keywords: late premature spontaneous labor, marker serum proteins, pregnancy-associated plasma protein-A, placental growth factor, soluble fms-like tyrosine kinase-1, gene expression.

Validation of machine-learning model for first-trimester prediction of pre-eclampsia using cohort from PREVAL study.

Effective first-trimester screening for pre-eclampsia (PE) can be achieved using a competing-risks model that combines risk factors from the maternal history with multiples of the median (MoM) values of biomarkers. A new model using artificial intelligence through machine-learning methods has been shown to achieve similar screening performance without the need for conversion of raw data of biomarkers into MoM. This study aimed to investigate whether this model can be used across populations without specific adaptations. Previously, a machine-learning model derived with the use of a fully connected neural network for first-trimester prediction of early (< 34 weeks), preterm (< 37 weeks) and all PE was developed and tested in a cohort of pregnant women in the UK. The model was based on maternal risk factors and mean arterial blood pressure (MAP), uterine artery pulsatility index (UtA-PI), placental growth factor (PlGF) and pregnancy-associated plasma protein-A (PAPP-A). In this study, the model was applied to a dataset of 10 110 singleton pregnancies examined in Spain who participated in the first-trimester PE validation (PREVAL) study, in which first-trimester screening for PE was carried out using the Fetal Medicine Foundation (FMF) competing-risks model. The performance of screening was assessed by examining the area under the receiver-operating-characteristics curve (AUC) and detection rate (DR) at a 10% screen-positive rate (SPR). These indices were compared with those derived from the application of the FMF competing-risks model. The performance of screening was poor if no adjustment was made for the analyzer used to measure PlGF, which was different in the UK and Spain. Therefore, adjustment for the analyzer used was performed using simple linear regression. The DRs at 10% SPR for early, preterm and all PE with the machine-learning model were 84.4% (95% CI, 67.2-94.7%), 77.8% (95% CI, 66.4-86.7%) and 55.7% (95% CI, 49.0-62.2%), respectively, with the corresponding AUCs of 0.920 (95% CI, 0.864-0.975), 0.913 (95% CI, 0.882-0.944) and 0.846 (95% CI, 0.820-0.872). This performance was achieved with the use of three of the biomarkers (MAP, UtA-PI and PlGF); inclusion of PAPP-A did not provide significant improvement in DR. The machine-learning model had similar performance to that achieved by the FMF competing-risks model (DR at 10% SPR, 82.7% (95% CI, 69.6-95.8%) for early PE, 72.7% (95% CI, 62.9-82.6%) for preterm PE and 55.1% (95% CI, 48.8-61.4%) for all PE) without requiring specific adaptations to the population. A machine-learning model for first-trimester prediction of PE based on a neural network provides effective screening for PE that can be applied in different populations. However, before doing so, it is essential to make adjustments for the analyzer used for biochemical testing. © 2023 International Society of Ultrasound in Obstetrics and Gynecology.

Comparison of Pregnancy-Associated Plasma Protein-A Levels in Women with and Without Intrauterine Growth Restriction

Comparison of Pregnancy-Associated Plasma Protein-A Levels in Women with and Without Intrauterine Growth Restriction

Aspirin for evidence-based preeclampsia prevention trial: effects of aspirin on maternal serum pregnancy-associated plasma protein A and placental growth factor trajectories in pregnancy

BackgroundThe exact mechanism by which aspirin prevents pre-eclampsia (PE) remains unclear. Its effects on serum placental biomarkers throughout pregnancy are also unknown. ObjectiveTo investigate the effects of aspirin on serum pregnancy-associated plasma protein A (PAPP-A) and placental growth factor (PlGF) trajectories using repeated measures from women at increased risk of preterm PE. Study DesignThis was a longitudinal secondary analysis of the Combined Multimarker Screening and Randomized Patient Treatment with Aspirin for Evidence-based Preeclampsia Prevention (ASPRE) trial using repeated measures of PAPP-A and PlGF. In the trial, 1,620 women at increased risk of preterm PE were identified using the Fetal Medicine Foundation algorithm at 11-13+6 weeks, of whom 798 were randomly assigned to receive aspirin 150 mg and 822 to receive placebo daily from before 14 weeks to 36 weeks of gestation. Serum biomarkers were measured at baseline and follow-up visits at 19 to 24, 32 to 34, and 36 weeks of gestation. Generalized additive mixed models with treatment by gestational age interaction terms were used to investigate the effect of aspirin on biomarker trajectories over time. ResultsOverall, there were 5,507 PAPP-A and 5,523 PlGF measurements. Raw PAPP-A values increased over time, and raw PlGF increased until 32 weeks of gestation followed by a decline. The multiple of the median (MoM) mean values of the same biomarkers were consistently below 1.0 MoM, reflecting the high-risk profile of the study population. Trajectories of mean PAPP-A and PlGF MoM values did not differ significantly between the aspirin and placebo groups (aspirin treatment by gestational age interaction p-values: 0.259 and 0.335, respectively). ConclusionsIn women at increased risk of preterm PE, aspirin 150 mg daily had no significant effects on PAPP-A or PlGF trajectories when compared to placebo.

Early Prediction of Hypertensive Diseases of Pregnancy by Using Combined Screening Methods in a Rural Population.

The most frequent medical issue during pregnancy is hypertension, which can complicate up to 10% to 15% of pregnancies worldwide. An estimated 14% of all maternal fatalities worldwide are thought to be caused by hypertensive disease of pregnancy, one of the main causes of maternal and fetal morbidity and mortality. Despite the fact that maternal mortality is substantially lower in high-income countries than in low- and middle-income countries, hypertension is still one of the leading causes of maternal death globally. Maternal mortality associated with hypertension fluctuated between 0.08 and 0.42 per 100,000 births between 2009 and 2015. In India, the estimated overall pooled prevalence of HDP was determined to be one out of 11 women, or 11% (95% CI, 5%-17%). Despite various government programs, there is still a high prevalence of hypertension, which calls for stakeholders and healthcare professionals to focus on providing both therapeutic and preventive care. The best solution is to concentrate more on the early detection of pregnancy-related hypertension and to guarantee its universal application so that proper care can be carried out to prevent maternal and fetal morbidity. To estimate the predictive value of the combination of maternal characteristics, i.e., mean arterial pressure (MAP), biophysical evaluation (uterine artery Doppler), and biochemical markers (pregnancy-associated plasma protein A (PAPP-A)), in the first trimester of pregnancy for hypertensive diseases of pregnancy. It was a prospective observational study of longitudinal variety thattook over 18 months in a tertiary care rural hospital. The number of women admitted to the hospital for labor care during 2019 was 5261. A total of 513 were diagnosed with hypertensive illnesses during pregnancy. At a prevalence rate of 10%, we calculated a sample size of 350 to achieve a sensitivity of 85% with an absolute error of 12.5% at a 95% CI. Maternal histories, such as age, education, socio-economic status, gravidity, and BMI, were taken along with three parameters, i.e., MAP, which was significant above 90 mmHg, uterine artery Doppler, which was taken significant above 1.69, and serum PAPP-A, which was significant at less than 0.69 ml/IU. We have found that the following are associated with theprediction of hypertension: among the maternal characteristics are advanced age >35 years, presence of body edema, and urine proteins along with MAP, uterine artery pulsatility index (UtA-PI), and PAPP-A are significant. The predictive accuracy of the combination of MAP, UtA-PI, and PAPP-A is also significant. We also found that there is a significant increase in cesarean sections and NICU admissions in hypertensive patients. A combination of screening parameters, including MAP, UtA-PI, and PAPP-A, to predict early hypertensive disease of pregnancy is developed and tested.

Pregnancy-Associated Plasma Protein-A: Implications for Heart Failure and Cardiovascular Risks in Women – A Review

Pregnancy-associated plasma protein-A (PAPP-A), is gaining interest as a possible biomarker and contributory factor to female cardiovascular health issues. This review article highlights the increasing amount of research connecting PAPP-A to heart failure and other cardiovascular concerns in females. PAPP-A levels have been found to be higher in women with heart failure and also been linked to the development and advancement of cardiovascular risks (atherosclerosis and coronary artery disease) in women. Improvements in risk assessment, early identification, and customized therapies for cardiovascular illnesses in women may be made possible by developments in this sector.

Correlation between PAPP-A serum levels in the first trimester of pregnancy with the occurrence of gestational diabetes, a multicenter cohort study

ObjectiveThis study aimed to investigate the association between first-trimester Pregnancy-associated plasma protein A (PAPP-A) levels and subsequent gestational diabetes mellitus (GDM) development.MethodThe study was conducted on 5854 pregnant women who attended routine prenatal care. Maternal biomarkers, including PAPP-A and free beta hCG, were measured for all women in a referral laboratory and converted to MoM values. Pregnant women were divided into two groups, based on the serum concentration of PAPP-A, (PAPP-A > 0.4 (normal) and PAPP-A < 0.4 (low)). Data on the screening test for GDM and pregnancy outcomes were collected and analyzed with appropriate tests.ResultOf the 5854 pregnant women, 889 (15.19%) developed GDM. The maternal PAPP-A MoM concentrations were significantly lower in GDM cases compared to controls. Indeed, gestational age at delivery and birth weight were significantly lower (p < 0.001) in PAPP-A MoM < 0.4, and the rate of intrauterine growth restriction (IUGR) was significantly higher (p < 0.001). ROC analysis revealed that the sensitivity and specificity of MoM concentration for predicting GDM were 53.3% and 51.9%, respectively.ConclusionLower maternal PAPP-A in early pregnancy can lead to glucose intolerance and increase the risk of subsequent GDM development. In addition, decreased serum concentration of PAPP-A is significantly correlated to lower birth weight and IUGR.

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

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

Study on the association between pregnancy-associated plasma protein-A and acute cerebral infarction

Study on the association between pregnancy-associated plasma protein-A and acute cerebral infarction

A new contingent screening strategy increased detection rate of trisomy 21 in the first trimester

BackgroundAlthough the traditional contingent screening strategy is effective, there are still undetected low-risk trisomy 21. This study aims to define appropriate cut-off values of serum biochemical markers at low-risk and develop a strategy for sequential prenatal testing associated with first-trimester screening to increase the detection rate of trisomy 21.MethodsThis was a 9-year retrospective analysis of singleton pregnant women who underwent serum biochemical screening or combined first-trimester screening (CFTS) in the first trimester. For the low-risk group, the cut-off values of the serum biochemical markers were adjusted to determine the appropriate detection efficiency. Gravidas with abnormal serum biochemical markers at low-risk were advised to undergo further non-invasive prenatal screening (NIPS), whereas others continued with routine prenatal care.ResultsWhen cut-off values of free beta subunit of human chorionic gonadotropin (free β-hCG) multiples of the median (MoM) or pregnancy-associated plasma protein A (PAPP-A) MoM were defined with ≥ 2.75 or ≤ 0.5, 7.72% (2,194/28,405) in the serum biochemical screening group and 12.36% (4,005/32,403) in CFTS group could be detected as abnormal results for further NIPS. Finally, 55.56% (5/9) and 85.71% (6/7) of trisomy 21 cases with false-negative results were detected, and the overall detection rate for trisomy 21 was improved by 10.64% (5/47) and 12.77% (6/47), respectively.ConclusionsThe new contingent screening strategy can increase the detection rate of trisomy 21 compared with the traditional contingent screening strategy.

Long-Term Predictors of Gestational Hypertension: Placental Growth Factor, Pregnancy-Associated Plasma Protein-A and Free Beta-Hcg Versus Mean Arterial Pressure and Uterine Artery Doppler Versus a Combination of Both: A Comparative Study.

According to WHO, hypertensive disease is the leading cause of direct maternal mortality accounting for 10-25% in developing countries (James in Heart, 90(12):1499-504). This study compares the combinations of mean arterial pressure (MAP) and uterine artery doppler (UAD) versus serum-free β HCG, pregnancy-associated plasma protein-A, and placental growth factor (PlGF) versus a combination of all variables at 11 to 13+6 as long-term predictors of pregnancy-induced hypertension (PIH). A prospective, observational cohort study recruited 97 primigravidae at 11 to 13+6weeks gestation at GMCH. Follow-up was done at 32-34weeks and before delivery. Development of PIH, mode of delivery, birthweight, maternal and fetal adverse outcomes were documented, analyzed and compared among three groups. In Group A-biophysical markers, Group B-biochemical markers and in Group C all variables were used. The mean age, maternal weight, height and BMI of patients developing gestational hypertension were 30 ± 5years, 64.3 ± 12.5kg, 155.8 ± 5.5cm and 26.4 ± 4.1, respectively. Out of the 3, Group C is the best screening test for predicting the overall chance of development of gestational hypertension with a sensitivity of 97.37% and specificity of 38.98% (p < 0.0001). A mild negative correlation is seen between PlGF levels and severity of PIH (p-0.0382). MAP and UAD can be easily incorporated into the infrastructure of most hospitals. If the biochemical test kits are made available at a low cost through available programs such as JSSK, it can bring down the MMR by preventing gestational hypertension.

Adverse pregnancy outcome in low PAPP-A levels: First trimester screening hospital based study

To assess the adverse pregnancy outcome in Low Pregnancy Associated Plasma Protein -A (PAPP-A) levels in serum.This is a prospective cohort study, which included 2150 pregnant women who attended the antenatal clinic of Obstetrics and Gynecology in the Lok Nayak Hospital, New Delhi, India. Blood samples were collected by the venipuncture method for First trimester screening to assess free β-hCG and PAPP-A concentrations were measured by Auto DELFIA (Perkin Elmer, Turku, Finland).In this study a total of 210 women who have the low PAPP-A value less than 0.4 MoM were under the closer surveillance for serious pregnancy outcome. 33(15.6%) women had pre-eclempsia, 27 (12.9%) cases showed intra-utrine growth retardation (IUGR), 6 (3.0%) cases have intra-utrine death. 48 (22.8%) women have pregnancy induced hypertension, and 96(45.6%) cases have other pregnancy related complication. Low PAPP-A levels gives an indication of adverse pregnancy outcome in the early gestation age during the first trimester.

Elevated first-trimester PAPP-A is a marker in high-risk pregnancies with an increased risk of placenta accreta in predicting adverse outcomes.

Our work aims to determine whether there is an association between first-trimester serum pregnancy-associated plasma protein A (PAPP-A) multiples of the median (MoM) value and placenta previa with or without placenta accreta spectrum disorders (PAS) in women. A retrospective analysis was performed on 267 patients who had first-trimester screening test results for aneuploidy, including nonadherent placenta previa (n=106), placenta previa with PAS (n=60), and control group (healthy pregnant women with previous cesarean section and normal placental location, n=101). To assess the significant difference between these groups, PAPP-A MoMs were compared. The median PAPP-A MoM of 1.96 in placenta previa with PAS was significant (>0.88) in nonadherent placenta previa and 0.89 in the control group (p<0.001). Serum PAPP-A was found to be significantly associated with the severity of bleeding, such that patients with severe bleeding of 1,500 mL or more (n=54) had a higher mean PAPP-A MoM (1.93±0.69; p<0.001). Furthermore, the mean PAPP-A MoM was found to be 1.96±0.74 in the hysterectomy group and 0.89±0.47 in the conservative management group, and the difference was found to be significantly higher (p<0.001). Elevated PAPP-A values in the first trimester of pregnancy may be a useful marker for identifying women at higher risk of PAS and adverse outcomes.

Performance of first-trimester combined screening for preterm pre-eclampsia: findings from cohort of 10 110 pregnancies in Spain.

To evaluate the diagnostic accuracy of the Fetal Medicine Foundation (FMF) competing-risks model, incorporating maternal characteristics, mean arterial pressure (MAP), uterine artery pulsatility index (UtA-PI) and placental growth factor (PlGF) (the 'triple test'), for the prediction at 11-13 weeks' gestation of preterm pre-eclampsia (PE) in a Spanish population. This was a prospective cohort study performed in eight fetal medicine units in five different regions of Spain between September 2017 and December 2019. All pregnant women with a singleton pregnancy and a non-malformed live fetus attending a routine ultrasound examination at 11 + 0 to 13 + 6 weeks' gestation were invited to participate. Maternal demographic characteristics and medical history were recorded and MAP, UtA-PI, serum PlGF and pregnancy-associated plasma protein-A (PAPP-A) were measured following standardized protocols. Treatment with aspirin during pregnancy was also recorded. Raw values of biomarkers were converted into multiples of the median (MoM), and audits were performed periodically to provide regular feedback to operators and laboratories. Patient-specific risks for term and preterm PE were calculated according to the FMF competing-risks model, blinded to pregnancy outcome. The performance of screening for PE, taking into account aspirin use, was assessed by calculating the area under the receiver-operating-characteristics curve (AUC) and detection rate (DR) at a 10% fixed screen-positive rate (SPR). Risk calibration of the model was assessed. The study population comprised 10 110 singleton pregnancies, including 72 (0.7%) that developed preterm PE. In the preterm PE group, compared to those without PE, median MAP MoM and UtA-PI MoM were significantly higher, and median serum PlGF MoM and PAPP-A MoM were significantly lower. In women with PE, the deviation from normal in all biomarkers was inversely related to gestational age at delivery. Screening for preterm PE by a combination of maternal characteristics and medical history with MAP, UtA-PI and PlGF had a DR, at 10% SPR, of 72.7% (95% CI, 62.9-82.6%). An alternative strategy of replacing PlGF with PAPP-A in the triple test was associated with poorer screening performance for preterm PE, giving a DR of 66.5% (95% CI, 55.8-77.2%). The calibration plot showed good agreement between predicted risk and observed incidence of preterm PE, with a slope of 0.983 (95% CI, 0.846-1.120) and an intercept of 0.154 (95% CI, -0.091 to 0.397). The FMF model is effective in predicting preterm PE in the Spanish population at 11-13 weeks' gestation. This method of screening is feasible to implement in routine clinical practice, but it should be accompanied by a robust audit and monitoring system, in order to maintain high-quality screening. © 2023 International Society of Ultrasound in Obstetrics and Gynecology.

Exosomes Promote Atherosclerosis Progression by Regulating Circ_100696/miR-503-5p/PAPPA Axis-Mediated Vascular Smooth Muscle Cells Proliferation and Migration.

Circular RNAs (circRNAs) are known to play a crucial role in the progression of atherosclerosis (AS). In this study, we aim to explore the function of oxidized low-density lipoprotein (ox-LDL)-induced macrophage-derived exosomal circ_100696 in AS.THP-1 macrophages were induced by ox-LDL to mimic AS cell model. A quantitative real-time polymerase chain reaction (qRT-PCR) assay was applied to determine the expression of circ_100696, microRNA-503-5p (miR-503-5p), and pregnancy-associated plasma protein A (PAPPA). The morphology and size distribution of exosomes were examined by transmission electron microscopy (TEM) and nanoparticle tracking analysis (NTA). Western blot assay was performed for protein levels. Cell proliferation was assessed using 5-ethynyl-2'-deoxyuridine (EdU) assay. Flow cytometry analysis was performed to analyze the cell cycle. Wound-healing assay and transwell assay were done to examine cell migration. RNA pull-down assay, dual-luciferase reporter assay, and RNA immunoprecipitation (RIP) assay were employed to analyze the relationship among circ_100696, miR-503-5p, and PAPPA.Circ_100696 level was increased in ox-LDL-induced THP-1 macrophages and ox-LDL-treated THP-1 macrophage-derived exosomes (OM-Exo). OM-Exo promoted the proliferation, cell cycle, and migration of vascular smooth muscle cells (VSMCs). Circ_100696 was upregulated in VSMCs cocultured with OM-Exo. Circ_100696 knockdown reversed the effects of OM-Exo on VSMC proliferation and migration. Circ_100696 was demonstrated to function as the sponge for miR-503-5p, and miR-503-5p directly targeted PAPPA. Circ_100696 overexpression facilitated VSMC proliferation and migration, with miR-503-5p upregulation or PAPPA silencing reversing these effects. Moreover, circ_100696 overexpression promoted PAPPA expression by targeting miR-503-5p.OM-Exo promoted VSMC growth and migration by regulating the circ_100696/miR-503-5p/PAPPA axis, thereby promoting AS progression.