RESUMO
Aluminum (Al) toxicity in acidic soils is a major abiotic stress that negatively impacts plant growth and development. The toxic effects of Al manifest primarily in the root system, leading to inhibited root elongation and functionality, which impairs the above-ground organs of the plant. Recent research has greatly improved our understanding of the applications of small molecule compounds in alleviating Al toxicity. This study aimed to investigate the role of boron (B), silicon (Si), and their combination in alleviating Al toxicity in soybeans. The results revealed that the combined application significantly improved the biomass and length of soybean roots exposed to Al toxicity compared to B and Si treatments alone. Our results also indicated that Al toxicity causes programmed cell death (PCD) in soybean roots, while B, Si, and their combination all alleviated the PCD induced by Al toxicity. The oxidative damage induced by Al toxicity was noticeably alleviated, as evidenced by lower MAD and H2O2 accumulation in the soybean roots treated with the B and Si combination. Moreover, B, Si, and combined B and Si significantly enhanced plant antioxidant systems by up-regulating antioxidant enzymes including CAT, POD, APX, and SOD. Overall, supplementation with B, Si, and their combination was found to alleviate oxidative damage and reduce PCD caused by Al toxicity, which may be one of the mechanisms by which they alleviate root growth inhibition due to Al toxicity. Our results suggest that supplementation with B, Si, and their combination may be an effective strategy to improve soybean growth and productivity against Al toxicity.
RESUMO
OBJECTIVE: To explore the application value of the prediction model for delivery outcome of women with scarred uterus based on ultrasonic parameters. METHODS: In this retrospective study, a total of 100 pregnant women with scarred uterus who delivered in Cangzhou Hospital of Integrated Traditional Chinese Medicine and Western Medicine were selected as the research subjects. Adverse pregnancy outcomes included premature delivery, low birth weight, neonatal asphyxia, postpartum hemorrhage, and uterine rupture. In line with delivery outcome, the pregnant women were segmented into good outcome group (n = 78) and poor outcome group (n = 22). We collected and compared the clinical data and the ultrasonic parameters of pregnant women of the two groups. Multivariate logistic regression analysis was conducted to explore the risk factors affecting the delivery outcome of women with scarred uterus and to establish a prediction model. RESULTS: Multivariate logistic regression analysis showed that low hemoglobin (Hb) before delivery, high grade of uterine scar, low muscle thickness of lower uterine segment, and low blood flow index were the risk factors for poor delivery outcome of women with scarred uterus. According to the risk factors, the prediction model was obtained: Prob = 1/[1 + e^ (-5.110-2.568 * Pre-delivery Hb - 1.697 * uterine scar grade -2.895 * lower uterine muscle thickness + 19.584 * blood flow index)]. The sensitivity, specificity and area under the curve were 90.0, 91.0 and 0.959, respectively. After validation, the sensitivity and specificity were 85.71 and 87.04, respectively. CONCLUSION: Low Hb before delivery, low grade of uterine scar, low musculature thickness of lower uterine segment, and low blood flow index were the risk factors for poor delivery outcome of women with scarred uterus. The establishment of prediction model based on risk factors could effectively evaluate the risk of poor delivery outcome of women with scarred uterus.