The genetic risk factors for pregnancy-induced hypertension: Evidence from genetic polymorphisms

Pregnancy-Induced Hypertension Pathophysiology and Contemporary Management Strategies: A Narrative Review

In the case of PIH, the history is the story of gradually developing awareness and the gradual formation of requisite knowledge. The development of the sphygmomanometer, or blood pressure cuff, in the late 1700s, provided the basis for modern systematic blood pressure reporting for Gravid patients. In the following years and over a few decades, the relationship between high blood pressure and these complications, such as preeclampsia and eclampsia, became clearer. The hypertensive disease was categorized by the American Committee on Maternal Welfare in 1952, which included PIH, chronic hypertension, and preeclampsia. Today, attention is being paid to the identification of such factors, the search for ways to enhance the treatment of diseases, methods for their diagnosis, and the enhancement of pregnancy outcomes. Pregnancy can cause high blood pressure in two of the following ways: preeclampsia and gestational hypertension. These conditions are both part of something called pregnancy-induced hypertension (PIH). In the world, most problems for moms and babies during pregnancy come from PIH. To help both mom and baby, we need to know a lot about what causes it, how to manage it, and how to watch the baby carefully. Aspects like immune responses, the environment, and genes all mix to cause PIH. They make the placenta not work right. When the cells that help the placenta grow don't do their job well, when blood vessels are stiff, when there's too much stress on the body, or when there's not a good balance of chemicals that help build blood vessels, things can get bad. Blood vessels all over the body squeeze tight, blood flow goes down, and blood pressure goes up. That can make a lot of organs stop working right and stop the baby from healthy growth. Various studies concluded that PIH severely limits the blood flow to the placenta and thus contributes to reduced fetal growth. It showed that compared to other hospitals, women who experience PIH are more likely to give birth early before the baby is ready, that is, before 37 weeks, and may cause further health complications to the baby. This normally makes the offspring have low birth weight and exposes them to many complications in infancy and the future in case they are born to mothers with PIH. In severe cases, PIH may lead to the death of the infant either by stillbirth or immediately after birth. The researchers have noted several predisposing factors to PIH, which include histories of elevated blood pressure, diabetes, being overweight or obese, and having a family history of PIH. Educating women about the presence of PIH and its causes can help them consult health facilities early, thus helping leaders in achieving better pregnancy results.

BMA-based Mendelian randomization identifies blood metabolites as causal candidates in pregnancy-induced hypertension

Pregnancy-induced hypertension (PIH), a prominent determinant of maternal mortality and morbidity worldwide, is hindered by the absence of efficacious biomarkers for early diagnosis, contributing to suboptimal outcomes. Here, we explored potential causal relationships between blood metabolites and the risk of PIH using Mendelian randomization (MR). We employed a two-sample univariable MR approach to empirically estimate the causal relationships between 249 circulating metabolites and PIH. Inverse variance weighted, MR-egger, weight median, simple mode, and weighted mode methods were used for causal estimates. The exposure-to-outcome directionality was confirmed with the MR Steiger test. The Bayesian model averaging MR (MR-BMA) method was applied to detect the predominant causal metabolic traits with alignment for pleiotropy effects. In the primary analysis, analyzing 249 metabolites, we identified 25 causally linked to PIH, including 11 lipid-related traits and 6 associated with fatty acid (un)saturation. Importantly, MR-BMA analyses corroborated the total concentration of branched-chain amino acids(total-BCAA) to be the highest rank causal metabolite, followed by leucine (Leu), phospholipids to total lipids ratio in medium LDL (M-LDL-PL-pct), and Val (all P < 0.05). The directionality of causality predicted by univariable MR and MR-BMA for these metabolites remained consistent. This study highlights the causal connection between metabolites and PIH risk. It highlighted BCAAs as the strongest causal candidates warranting further investigation. Since PIH typically occurs in the second and third trimesters, extending these findings could inform earlier strategies to reduce its risk. Directed acyclic graph of the MR framework investigating the causal relationship between metabolites and PIH. MR: Mendelian randomization; GIVs: genetic instrument variables; SNPs: single-nucleotide polymorphism; IVW: inverse variance weighted; WM: weighted median; PIH: pregnancy-induced hypertension; SM: significant metabolite; MR-BMA: Bayesian model averaging MR.

The prevalence and linkage disequilibrium of 21 genetic variations related to thrombophilia, folate cycle, and hypertension in reproductive age women of Rostov region (Russia)

Several maternal genetic variations are known to play an important role during pregnancy since they can affect mother health and/or fetal growth. The frequency of these variants is variable among different populations. This study aimed to investigate thrombophilia, folate metabolism and hypertension genetic variants in reproductive age women of Rostov region (Russia) and then assess their linkage disequilibrium (LD) and heterogeneity among populations. A total of 3108 reproductive age women were included (33.75 ± 5.13 years). Twenty-one genetic variants were detected with RT-PCR. LD was tested according to (D') coefficient and p value. The highest frequency of mutant allele in studied population was as follows: PAI-1 rs1799768, MTRR rs1801394, AGT rs699, and AGTR2 rs1403543. We showed a high possibility of coinheritance of MTHFR rs1801133 with rs1801131 and AGT rs699 with rs4762 (D'=0.992 and 0.999, respectively). In addition, comparative analysis showed F7 rs6046, FGB rs1800790, MTR rs1805087, and AGT rs699 significantly more frequent among Rostov females by 1.3-1.5 times than European. MTHFR rs1801133, ADD1 rs4961, AGTR2 rs1403543, NOS3 rs2070744, and rs1799983 were with higher frequencies in Europeans than those in the studied group. Our data could be used as a reference for further associative studies of targeted genetic variations in different pregnancy complications specifically in this population.

Lactogenesis factors in the Asian population

The increasing incidence of disrupted lactogenesis in Asian populations underscores the importance of timely identification and efficient intervention. This study acknowledges the influence of ethnicity on genetic variations and aims to investigate the genetic mechanisms that contribute to lactogenesis in individuals of Asian descent. This study examines the possibilities of genetic screening as a means of applying preventive measures, with a particular focus on epigenetic techniques. Additionally, the analysis looks into the underlying mechanisms involved in milk production. This review discusses the intricate mechanisms underlying breast milk production and the potential influence of genetic variables on lactogenesis. Specifically, it explores the association between lactogenesis issues and genetic conditions such as depression, obesity, gestational hypertension, and gestational diabetes. These genetic factors could potentially be found by genetic screening as contributors to disruption in lactogenesis. This study aims to promote future investigation in the subject of genetic testing and its potential association with lactogenesis issues, despite the current scarcity of direct research on this topic. The statement posits that the progress made in genetic testing has the potential to provide novel insights into the timely identification and treatment of disrupted lactogenesis.

Buffalo yogurt fermented with commercial starter and Lactobacillus plantarum originating from breast milk lowered blood pressure in pregnant hypertensive rats

Nutritional therapy, which may have advantages over medication, is being investigated as a novel treatment for pregnancy-induced hypertension. Several studies have shown that probiotic yogurt supplementation during pregnancy has beneficial effects on maternal and fetal health. In this study, fermented buffalo milk was produced with yogurt culture and Lactobacillus plantarum B, a probiotic isolated from healthy breast milk with high angiotensin-converting enzyme inhibitory activity. The fermentation conditions under which the angiotensin-converting enzyme (ACE) inhibitory activity reached 84.51% were optimized by the response surface method as follows: 2 × 106 cfu/mL of L. plantarum B, yogurt culture 2.5 × 105 cfu/mL, and 8 h at 37°C. The distribution of ACE inhibitory peptides from fermented buffalo milk and fermented cow milk were further analyzed by liquid chromatography-mass spectrometry. By searching according to the structural features of ACE inhibitory peptides, 29 and 11 peptides containing ACE inhibitory peptide features were found in fermented buffalo milk and fermented cow milk, respectively. To investigate the in vivo antihypertensive activity of fermented buffalo milk, 18 pregnant rats were divided into 3 groups (n = 6 in each group) and administered 10 mL of normal saline, yogurt (20 mg/kg), or labetalol hydrochloride (4 mg/kg) daily from the beginning of pregnancy to parturition. To induce hypertension, methyl nitrosoarginine (125 mg/kg) was injected subcutaneously every day from d 15 of pregnancy to the day of delivery. Blood pressure was not significantly changed in the yogurt and labetalol groups after induction of hypertension and was lower compared with the normal saline group, but there was no difference between the yogurt and labetalol groups. This implied that the buffalo yogurt had a preventive and antihypertensive effect in the pregnancy-induced hypertensive rat model. Further studies to determine the mechanism of action, as well as a randomized control trial, are warranted.

From Living in Saltwater to a Scarcity of Salt and Water, and Then an Overabundance of Salt-The Biological Roller Coaster to Which the Renin-Angiotensin System Has Had to Adapt: An Editorial

Angiotensin II (Ang II) is a hormone with much more complex actions than is typical for other agonists with heterotrimeric G protein-coupled receptors (GPCRs) [...].

The impact of household fuel usage on adverse pregnancy outcomes in rural Ma'anshan City, Anhui Province: a birth cohort study

The combustion of cooking fuels generates detrimental gases significantly impacting human health, particularly for vulnerable populations like expectant mothers. Prenatal exposure of such hazardous emissions raises the probability of adverse pregnancy outcomes, including preterm birth (PTB) and low birth weight (LBW). Our research aims to explore the association between cooking fuel utilization and adverse birth outcomes in rural Ma'anshan, Anhui Province. A prospective cohort study was executed, employing the Maternal and Infant Health Assessment questionnaire to classify fuels into clean (natural gas, electricity) and polluting energy sources (coal, coal gas, firewood). Multivariate logistic regression models were conducted to evaluate the association between fuel consumption and postpartum maternal and infant outcomes. Among the 442 surveyed pregnant women, 38.2% (N=169) utilized polluting fuels. After adjusting for covariates such as age and BMI, the relative risks of preterm birth, low birth weight, and postpartum hemorrhage in the polluting fuel group compared to the clean fuel group were OR: 3.27, 95% CI: 1.34, 8.00; OR: 3.50, 95% CI: 1.12, 10.90; and OR: 3.18, 95% CI: 1.06, 9.46, respectively. These results indicate that the usage of polluting fuels during pregnancy may heighten the risk of adverse birth outcomes. Consequently, additional research is advised to mitigate the harmful emissions generated by cooking fuels and advocate for clean energy adoption, enhancing maternal and infant well-being.

Analysis of risk factors and construction of nomograph model for critical condition of patients with hypertension during pregnancy

OBJECTIVE

This study aims to construct the risk prediction nomogram model of critical condition in patients with hypertension during pregnancy and to verify its evaluation effect.

METHODS

A total of 531 patients with hypertension during pregnancy were randomly grouped into 427 model group and 104 validation group. The model group patients included 59 cases of critical group and 368 cases of non-critical group according to the occurrence of critical situation. Multivariate Logistic regression analysis was conducted to determine the risk factors of critical condition in patients with hypertension during pregnancy, and R software was used to construct the nomogram model. Moreover, the prediction efficiency of the model was evaluated.

RESULTS

The proportions of patients aged over 30 years, with an educational background of junior high school or below, a family history of hypertension, anemia during pregnancy, and a lower erythrocyte count were significantly higher in the critical group compared to the non-critical group (P < 0.05). Age > 30 years old, educational background of junior high school and below, family history of hypertension, anemia during pregnancy, and red blood cell count were independent risk factors for the occurrence of critical condition in patients with hypertension during pregnancy (P < 0.05). The prediction model formula Z = 1.857×Age + 1.167×Education + 1.601×Family history of hypertension + 1.815×Pregnancy anemia + 3.524×Red blood cell count+(-19.769). The area under the curve (AUC) of the nomogram in the modeling group for predicting the risk of critical situations was 0.926 (95% CI = 0.887 ~ 0.964), indicating excellent discrimination. The calibration curve closely resembled the ideal curve, demonstrating good agreement between the predicted and actual values. The AUC of the validation group's nomogram to predict the risk of critical situation was 0.942 (95% CI = 0.872 ~ 0.998), with good discrimination. The calibration curve was close to the ideal curve, and the actual value was in good agreement with the predicted value.

CONCLUSION

The nomograph model can predict the risk of critical condition in patients with hypertension during pregnancy and screen high-risk population.