Trophoblast cellular adhesion molecule expression regulated by different genes and their correlation with pregnancy-induced hypertension.

It was to study trophoblast cell (TC) adhesion molecules regulated by different genes in the placental tissue (PT) of patients with pregnancy-induced hypertension (PIH), and the correlation with the severity of PIH. 42 patients with PIH (13 cases in the mild PIH group, 11 cases in the moderate PIH group, and 18 cases in the severe PIH group) and 40 patients with normal pregnancy (NP group) were included. mRNA and protein levels in matrix metalloproteinase (MMP)-9, MMP-2, tissue inhibitor of metalloproteinases (TIMP)-1, and TIMP-2 of all patients were determined by semi-quantitative polymerase chain reaction (PCR) and Western blotting (WB), respectively. Compared to the NP group, MMP-9 and MMP-2 mRNA levels as well as their proteins in PT significantly decreased in PIH groups (P<0.05). MMP-9 mRNA was greatly lower in the severe PIH group than mild PIH group (P<0.05). MMP-2 mRNA in moderate and severe PIH groups was much lower than NP and mild PIH groups, and that in the severe PIH group was considerably lower than the moderate PIH group (P<0.05). TIMP-1 mRNA and its protein highly increased in PT in PIH groups than NP group (P<0.05). TIMP-2 mRNA was remarkably higher in the severe PIH group than in the NP group (P<0.05). mRNA and proteins of MMP-9 and MMP-2 decreased in PT of PIH patients, while TIMP-1 mRNA and its protein increased, which were correlated with the severity of PIH. MMP-9, MMP-2, and TIMP-1 were involved in the pathogenesis of PIH by regulating the infiltration of TCs.

sFlt-1/PIGF ratio positive associated with non-dipper type change in ambulatory blood pressure monitoring(ABPM) for preeclampsia development.

In order to explore relationship of ambulatory blood pressure monitoring (ABPM) and soluble fms-like tyrosine kinase-1/placental growth factor (sFlt-1/PlGF) in suspected preeclampsia(PE), suspected PE participants in 28 + 0 to 33 + 6 weeks underwent ABPM and sFlt-1/PlGF from July 2020 to July 2022 were included(N = 476) in study. ABPM parameters were compared between sFlt-1/PlGF ≥38 and <38 groups. Correlation analysis was performed between ABPM and sFlt-1/PlGF, and logistic regression was used to explore prediction value for PE in 2 weeks. One hundred eighteen cases developed PE in 2 weeks with 114 from sFlt-1/PlGF ≥38 group. Daytime and nighttime BP were all increased,with increased non-dipper (58.4% vs. 30.3%), riser (22.1% vs. 13.1%) and and decreased Dipper (15.4% vs. 45.9%) type of ABPM in sFlt-1/PlGF ≥38 groups (P < 0.05).The riser group had the highest sFlt-1 and lowest PlGF. sFlt-1/PlGF and sFlt-1 were all positively correlated with systolic (SBP) & diastolic blood pressure(DBP)(P < 0.01), in which correlation coefficients of daytime and nighttime BP with sFlt-1 were ß = 150.05 & 157.67 for SBP, ß = 234 and 199.01 for DBP, respectively. However, PlGF was only negatively associated with nighttime SBP and DBP(P < 0.05), with no correlation with daytime BP (P > 0.05).Combining sFlt-1/PlGF and ABPM model, showed sFlt-1/PlGF (aOR = 2.01 (1.69-2.36)), Nighttime DBP (aOR = 1.14 (1.02-1.28)) contributed to preeclampsia prediction, and had improved predictive value compared to ABPM or sFlt-1/PlGF models alone(P < 0.05). sFlt-1/PlGF ratio was positively correlated with BP parameters, whereas PIGF was only negatively correlated with nocturnal BP and increased non-dipper type change in ABPM, which had a synergistic effect with sFlt-1/PlGF on PE prediction.

Optimal vaccination strategies for COVID-19 in population migration between two regions scenario.

Population movements had a significant impact on the spread of COVID-19, and vaccination is considered the most effective means for humans to face viral infections. This study identifies the optimal control strategy for COVID-19 prevention and control, and explores the impact of short-term and long-term migration on the optimal proportion of vaccine allocation between two regions. We proposed to establish the SIR (Susceptible-Infectious-Recovered) model and determine the stability by calculating the disease free equilibrium and Jacobi matrix of the model. We then established the vaccine optimization model, solved the optimal vaccine distribution strategy by gradient descent method and explored the impact of short-term and long-term migration on the optimal vaccine allocation ratio. The stability analysis revealed that the virus could not be eliminated only by reducing the migration rates and infection rates. we introduced the vaccine methods and obtained the optimal vaccine allocation ratio in Shenzhen and Hong Kong as p1:p2=0.000341: 0.001739, and the daily vaccination rate we need to impose in each region as p1:p2=0.00068:0.001901. The presence or absence of short-term migration had no greater impact on the distribution of the vaccine, whereas Rv with long-term migration had a greater effect than no migration. We found that migration rates could not eliminate the outbreak in both regions and that adopting an effective vaccine distribution strategy could be more effective in eliminating the outbreak. And for different allocation scenarios with limited vaccine supply, we obtained the optimal allocation most favorable to control the epidemic.

Exploring epidemic voluntary vaccinating behavior based on information-driven decisions and benefit-cost analysis.

A complex dynamic interplay exists between epidemic transmission and vaccination, which is significantly influenced by human behavioral responses. We construct a research framework combining both the function modeling of the cumulative global COVID-19 information and limited individuals' information processing capacity employing the Gompertz model for growing processes. Meanwhile, we built a function representing the decision to get vaccinated following benefit-cost analysis considered the choices made by people in each scenario have an influence from altruism, free-riding and immunity escaping capacity. Through the mean-field calculation analysis and using a fourth-order Runge-Kutta method with constant step size, we obtain plots from numerical simulations. We found that only when the total number of infectious individuals proves sufficient to reach and exceed a certain level will the individuals face a better trade-off in determining whether to get vaccinated against the diseases based on that information. Besides, authoritative media have a higher decisive influence and efforts should be focused on extending the duration of vaccine protection, which is beneficial to inhibit the outbreaks of epidemics. Our work elucidates that reducing the negative payoff brought about by the free-riding behavior for individuals or improving the positive payoff from the altruistic motivation helps to control the disease in cultures that value social benefits, vaccination willingness is generally stronger. We also note that at a high risk of infection, the decision of vaccination is highly correlated with global epidemic information concerning COVID-19 infection, while at times of lower risk, it depends on the game theoretic vaccine strategy. The findings demonstrate that improving health literacy, ensuring open and transparent information on vaccine safety and efficacy as a public health priority can be an effective strategy for mitigating inequalities in health education, as well as alleviating the phenomenon that immunity escaping abilities is more likely to panic by populations with high levels of education. In addition, prosocial nudges are great ways to bridge these immunity gaps that can contribute to implementing government public health control measures, creating a positive feedback loop.

Clinical assessment of preventing febrile nonhemolytic transfusion reaction by leukocyte-depleted blood transfusion.

The objective was designed to assess the clinical efficiency of preventing febrile nonhemolytic transfusion reactions (FNHTR) with transfusion of leukocyte-depleted RBC and platelet concentrates. One hundred patients with cirrhosis of liver, gastric ulcer and cancer were selected to receive RBC concentrates with leukocyte filtration. Another group of 50 patients with liver necrosis, gastric ulcer and cancer were selected to receive non-filtered RBC concentrates. Two hundred and forty patients with acute or chronic leukemia, aplastic anemia, multiple myeloma, thrombocytopenia purpura, diabetes mellitus, cirrhosis of liver, upper gastrointestinal hemorrhage, severe hepatitis, burn and cancer post radioactive or chemical treatment were divided into two group with 120 patients in each one and selected randomly to receive platelet concentrates. The incidence rates of FNHTR in all patients were investigated. Results showed that there was no FNHTR in 100 transfusions with leukocyte-depleted RBC concentrates. Eight out of 50 patients with non-filtrated RBC concentrates showed FNHTR. The incidence of FNHTR was sixteen (16%) in non-filtrated transfusion. Twenty-five and 7 patients manifested FNHTR respectively in non-filtrated or filtrated platelets transfusions. The incidence of FNHTR was 20.83% and 5.83% respectively in non-filtrated or filtrated platelet transfusion. It is concluded that leukocyte-depleted RBC and platelet concentrates reduces FNH TR in blood transfusion.