Prediction of preeclampsia developing at term

Huluta, Iulia; Panaitescu, Anca Maria

doi:10.5603/gp.a2018.0037

Cited by 8 publications

(9 citation statements)

References 18 publications

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“…Hypertensive disorders and inflammation caused by changes in the maternal immune system are the key factors associated with PE [ 5 ]. Although the use of aspirin can prevent PE, there is no effective way to predict its occurrence, nor can it be prevented by the prophylactic use of aspirin [ 6 ]. Currently, the only way to treat PE is to terminate the pregnancy and deliver the neonate and placenta [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

lncRNA PROX1-AS1 mediates the migration and invasion of placental trophoblast cells via the miR-211-5p/caspase-9 axis

Tang

Geng

2021

Bioengineered

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Preeclampsia (PE) is a potentially fatal pregnancy complication; however, its pathogenesis remains unclear. Long non-coding RNAs (lncRNAs) are associated with occurrence and progression of PE. Therefore, this study aimed to explore the function of the lncRNA prospero homeobox 1-antisense RNA 1 (PROX1-AS1) and elucidate its underlying molecular mechanism of action. We found that the expression levels of PROX1-AS1 were elevated in both the placental tissues and blood samples of the patients with PE. Moreover, the results of the flow cytometry and transwell assay showed that the knockdown of PROX1-AS1 inhibited the apoptosis and promoted the migration and invasion of HTR-8/SVneo cells. We also assessed the interactions between PROX1-AS1, caspase-9, and microRNA (miR)-211-5p via dual-luciferase reporter and RNA pull-down analyses. The data indicated that PROX1-AS1 acted as a sponge for miR-211-5p to regulate the expression of caspase-9. Moreover, the expression of miR-211-5p was reduced in PE and negatively related to PROX1-AS1, while that of caspase-9 was increased in PE and negatively regulated by miR-211-5p. Furthermore, inhibition of miR-211-5p rescued the facilitation of cell apoptosis, migration and invasion induced by the knockdown of PROX1-AS1. We also found that caspase-9 improved the apoptosis rate, and suppressed the cell migration and invasion induced by the overexpression of miR-211-5p. In conclusion, the knockdown of PROX1-AS1 promoted the cell morbidity of the trophoblast cells by modulating the miR-211-5p/caspase-9 axis, which may alleviate the progression of PE. This novel regulatory network may contribute to the pathogenesis and progression of PE.

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Section: Introductionmentioning

confidence: 99%

lncRNA PROX1-AS1 mediates the migration and invasion of placental trophoblast cells via the miR-211-5p/caspase-9 axis

Tang

Geng

2021

Bioengineered

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“…In Reunion Island, we have witnessed the LOP rate rising year after year since 2000, as we are a country where obesity is a public health problem (our obesity rate in women was of 11% in 2001 and 21% in 2018). 5 In a recent study on the same population cohort, we demonstrated that being overweight or obese is primarily a risk factor for LOP (≥34 weeks gestation) 5 being by far the main pattern of the disease (90% in high-income countries, of which 2/3 37 weeks onward, 17 18 and approximately 70% in medium–low income countries 6 7 ). Optimising GWG is a hot topic in current perinatology, with a particular focus on long term maternal and child health.…”

Section: Discussionmentioning

confidence: 81%

“…This study indicates that optimising GWG may represent an effective strategy to reduce the risk of LOP37. [17][18][19][20][21] Further research is urgently required to identify ways to assist women in achieving an optimal GWG, with randomised controlled trials to confirm that such intervention would translate our findings in a marked reduction in LOP rates.…”

Section: Discussionmentioning

confidence: 95%

Gestational weight gain and rate of late-onset preeclampsia: a retrospective analysis on 57 000 singleton pregnancies in Reunion Island

et al. 2020

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ObjectivesTo investigate in singleton term pregnancies (≥37 weeks gestation) if applying optimal gestational weight gains (optGWG) on our population could have an effect on the incidence of late-onset preeclampsia (LOP).Design18.5-year-observational cohort study (2001–2019).SettingsCentre Hospitalier Universitaire Hospitalier Sud Reunion’s maternity (French overseas department, Indian Ocean), the only maternity providing services to take care of all preeclamptic cases in an area with approximately 360 000 inhabitants.Main outcomes and measuresSimulation rates of LOP between women achieving optimal versus inappropriate GWG (insufficient and excessive) in the non-overweight, overweight and class I–III obesity categories.ResultsAmong 66 373 singleton term pregnancies with a live birth, and 716 LOP (≥37 weeks, LOP37), the GWG could be determined in 87% of cases. In a logistic regression model validating the independent association of optGWG, maternal ages and body mass index (BMI), primiparity, smoking habit, chronic hypertension with term preeclampsia, optGWG reduced the risk of LOP37, aOR 0.74, p=0.004. Primiparity, higher maternal BMI, chronic hypertension and higher maternal age increased the risk of LOP37. The ‘protective’ effect of optGWG appeared stronger in patients with overweight and obesity in a linear manner: 0.57% versus 1.07% (OR 0.53, p=0.003), overweight; class I obese (30–34.9 kg/m²), 0.70% vs 1.56% (OR 0.44, p=0.01); severe obesity (≥35 kg/m²) 0.86% vs 2.55% (OR 0.33, p=0.06). All patients with overweight/obesity together, OR 0.42, p<0.0001.ConclusionsOverweight and obesity may not result in a higher risk of developing LOP at term when a optGWG is achieved. The results of this large retrospective population cohort study suggest that targeted and strictly monitored interventions on achieving an optGWG might represent an effective method to reduce the rate of LOP and would have the potential to halve its rate in women with overweight/obesity. These findings suggest a potentially achievable pathway to actively counterbalance the morbid effects of high BMIs, so we solicit adequately powered prospective trials.

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“…The groupings were intended to imply known prediction periods and pathogenesis paradigms from previous studies within the range of available data. These were second-or third-trimester predictions [4], first-trimester prediction/pathogenesis [14], near-pregnancy pathogenesis (related to endometrial maturation) [31], and genetic paradigms of pathogenesis (related to vascular susceptibility) [32].…”

Section: Subgroup and Text Mining Analysesmentioning

confidence: 99%

“…Admission to neonatal intensive care units (ICUs) was not reduced (odds ratio [OR] 0.93, 95% confidence interval (CI) 0.55À1.59), although preterm/early preeclampsia was prevented by aspirin administration at 11À13 weeks' gestation [3]. This is because term/late preeclamptic women are more common than preterm/early ones and only 85% of those were detected with a false positive rate of 10% at 35À37 weeks in high-resource settings [4]. A nationwide health insurance dataset of the BPJS Kesehatan in Indonesia can provide big data to develop artificial intelligence (AI)-assisted predictions that may reduce false positives.…”

Section: Introductionmentioning

confidence: 99%

Artificial intelligence-assisted prediction of preeclampsia: Development and external validation of a nationwide health insurance dataset of the BPJS Kesehatan in Indonesia

Sufriyana

2020

EBioMedicine

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Background: We developed and validated an artificial intelligence (AI)-assisted prediction of preeclampsia applied to a nationwide health insurance dataset in Indonesia. Methods: The BPJS Kesehatan dataset have been preprocessed using a nested case-control design into preeclampsia/eclampsia (n = 3318) and normotensive pregnant women (n = 19,883) from all women with one pregnancy. The dataset provided 95 features consisting of demographic variables and medical histories started from 24 months to event and ended by delivery as the event. Six algorithms were compared by area under the receiver operating characteristics curve (AUROC) with a subgroup analysis by time to the event. We compared our model to similar prediction models from systematically reviewed studies. In addition, we conducted a text mining analysis based on natural language processing techniques to interpret our modeling results.Findings: The best model consisted of 17 predictors extracted by a random forest algorithm. Nine»12 months to the event was the period that had the best AUROC in external validation by either geographical (0.88, 95% confidence interval (CI) 0.88À0.89) or temporal split (0.86, 95% CI 0.85À0.86). We compared this model to prediction models in seven studies from 869 records in PUBMED, EMBASE, and SCOPUS. This model outperformed the previous models in terms of the precision, sensitivity, and specificity in all validation sets. Interpretation: Our low-cost model improved preliminary prediction to decide pregnant women that will be predicted by the models with high specificity and advanced predictors.

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Prediction of preeclampsia developing at term

Cited by 8 publications

References 18 publications

lncRNA PROX1-AS1 mediates the migration and invasion of placental trophoblast cells via the miR-211-5p/caspase-9 axis

lncRNA PROX1-AS1 mediates the migration and invasion of placental trophoblast cells via the miR-211-5p/caspase-9 axis

Gestational weight gain and rate of late-onset preeclampsia: a retrospective analysis on 57 000 singleton pregnancies in Reunion Island

Artificial intelligence-assisted prediction of preeclampsia: Development and external validation of a nationwide health insurance dataset of the BPJS Kesehatan in Indonesia

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