MCMCINLA estimation of varying coefficient spatial lag model-A study of China's economic development in the context of population aging.

The dominant spatial econometric model in spatial econometrics is the parametric form, while in the realistic context, the variables often do not satisfy the assumption of linearity and have nonlinear relationships with each other. In this paper, we introduce nonparametric terms into spatial econometric models and propose the MCMCINLA estimation method for varying coefficient spatial lag models. The empirical analysis is conducted with the socioeconomic data of mainland China from 2015 to 2020 to discuss the influencing factors and spatial and temporal distribution characteristics of China's economic development under the classical spatial lag model and the varying coefficient spatial lag model with population aging as a special covariate, respectively. The results show that with the gradual aging of the population, foreign trade will inhibit the development of regional economy to a certain extent, while urbanization process, resident income, real estate development and high-tech development will have a driving effect on economic growth, and high-tech development has the strongest mobilization on regional economic development. Compared with the classical spatial lag model, the varying coefficient spatial lag model can more fully exploit the information of variables in a more realistic context and derive the variable evolution process.

Bayesian spatiotemporal modelling analysis of hemorrhagic fever with renal syndrome outbreaks in China using R-INLA.

Hemorrhagic fever with renal syndrome (HFRS) is a category B infectious disease caused by Hantavirus infection, which can cause acute kidney injury and has a high mortality rate. At present, China is the country most severely afflicted by HFRS in the world, and it is critical to carry out efficient HFRS prevention and management in a scientific and accurate manner. The study used data on the incidence of HFRS in mainland China from 2015 to 2018, built a Bayesian hierarchical spatiotemporal distribution model, and applied the Integrated Nested Laplace Approximation algorithm to analyse the factors influencing the development of HFRS, the spatial and temporal distribution characteristics, and the threshold exceedance locations. The results revealed that the woodland and grassland area (RR = 1.357, 95% CI: 1.005-1.791), economic level (RR = 1.299, 95% CI: 1.007-1.649), and traffic level (RR = 2.442, 95% CI: 1.825-3.199) were all significantly and positively associated with the development of HFRS, with traffic level having the strongest promoting effect. The seasonal cycle was obvious in time, with peaks in May-June and October-December each year, most notably in November. Spatially, there was a south-heavy north-light trend, with a high risk of incidence largely in places rich in mountain and forest vegetation, of which Guizhou, Guangxi, Guangdong, and Jiangxi provinces continuing to have a high incidence in recent years, and the evolution of the epidemic in Hubei and Hunan was becoming more serious. When the early warning threshold was set at 0.2, the detection impact was best, and Guizhou, Guangxi, Guangdong, Jiangxi, Hainan, and Tianjin were positioned near the critical point of the exceedance threshold with the highest risk of incidence. It is recommended that the relevant managers call for active vaccination of outdoor workers, such as those working in agriculture and construction sites, implement rat prevention and extermination before winter arrives, and warn high-risk and medium-high-risk areas to conduct early outbreak surveillance. Move the prevention and control gates forward based on the exceedance threshold for doing preventive and control detection and epidemic research and judgement work.

Magnetic Resonance Neuroimaging Contrast Agents of Nanomaterials.

Since the early 1980s when MRI imaging technology was put into clinical use, the number of MRI clinical tests has steadily increased by more than 10% every year. At the same time, exogenous MRI contrast agents have also been developed with the development of MRI technology. However, there are still challenges in the preparation of contrast agents for magnetic resonance imaging, such as how to prepare high-efficiency contrast agents with high stability and low biological toxicity. In order to study the contrast agent with simple preparation method, low cost, and good imaging effect, a magnetic resonance contrast agent was prepared by magnetic nanoparticles. By acting on magnetic resonance imaging detection method, and using polymer ligands to synthesize magnetic nanoparticles, experiments and tests of P(MA-alt-VAc) polymer ligand-modified magnetic nanoparticles were carried out. The experimental results showed that when nanoparticles containing different iron ion concentrations were incubated with DC 2.4 normal cells for 48 hours, the cell viability was still higher than 80% at concentrations up to 200 µm. It shows that the nanoparticle has high cell activity and good biological adaptability. The transverse relaxation (r 2) value of the nanoparticles in aqueous solution at 37°C and 1.5 T magnetic field is 231.1 m-1 s-1, which is much higher than that of PTMP-PMAA (r 2 = 35.1 mM-1 s-1), which is also more than five times the relaxation of SHU-555C (r 2 = 44 mM-1 s-1). It shows that the nanoparticles prepared in this paper have good effect and can be used as a contrast agent in human brain for magnetic resonance imaging.

MCMCINLA Estimation of Missing Data and Its Application to Public Health Development in China in the Post-Epidemic Era.

Medical data are often missing during epidemiological surveys and clinical trials. In this paper, we propose the MCMCINLA estimation method to account for missing data. We introduce a new latent class into the spatial lag model (SLM) and use a conditional autoregressive specification (CAR) spatial model-based approach to impute missing values, making the model fit into the integrated nested Laplace approximation (INLA) framework. Combining the advantages of both the Markov chain Monte Carlo (MCMC) and INLA frameworks, the MCMCINLA algorithm is used to implement imputation of the missing data and fit the model to derive estimates of the parameters from the posterior margins. Finally, the economic data and the hemorrhagic fever with renal syndrome (HFRS) disease data of mainland China from 2016-2018 are used as examples to explore the development of public health in China in the post-epidemic era. The results show that compared with expectation maximization (EM) and full information maximum likelihood estimation (FIML), the predicted values of the missing data obtained using our method are closer to the true values, and the spatial distribution of HFRS in China can be inferred from the imputation results with a southern-heavy and northern-light distribution. It can provide some references for the development of public health in China in the post-epidemic era.

The Effects of Mobile-App-Based Low-Carbohydrate Dietary Guidance on Postprandial Hyperglycemia in Adults with Prediabetes.

INTRODUCTION: Postprandial hyperglycemia is independently associated with many adverse complications, while diets with a low glycemic load are beneficial in improving post-meal glucose levels. This study aims to determine if mobile-app-based low-carbohydrate dietary guidance will reduce exposure to postprandial hyperglycemia in adults with prediabetes. METHODS: This single-blind, randomized controlled pilot study included 100 participants (39 men; mean age 53.6 ± 11.9 years) and was performed in the PKU Care CNOOC Hospital, China. The intervention group (n = 57) received low-carbohydrate dietary guidance through a moblie app (CAReNA) for 3 months, while the control group (n = 43) only received health education on a diabetic diet. The primary outcome was change in time of postprandial hyperglycemia between baseline and 3 months. RESULTS: The study revealed that the mean time in postprandial hyperglycemia (> 7.8 mmol/l [140 mg/dl]) monitored by flash glucose monitoring changed from 3.27 h/day at baseline to 2.34 h/day at 3 months in the intervention group and from 3.08 h/day to 2.96 h/day in the control group, with a between-group difference of - 0.81 h/day (P < 0.05). Fasting plasma glucose and glycated hemoglobin (HbA1c) in the intervention group decreased significantly, although no significant difference was seen between the two groups. Compared with the control group, the intervention group had a significant decrease in anthropometric and body composition measurements as well as triglycerides. CONCLUSION: The mobile-app-based low-carbohydrate dietary guidance effectively reduced the time spent in postprandial hyperglycemia in adults with prediabetes. This new type of nutritional management has beneficial effects on people with prediabetes and needs further research. CLINICAL TRIAL REGISTRATION: ChiCTR1900024880.

Podocytes protect glomerular endothelial cells from hypoxic injury via deSUMOylation of HIF-1α signaling.

Hypoxia can cause severe tubulointerstitial injury and peritubular capillary loss. However, hypoxia-induced injury in glomerular capillaries is far milder than tubulointerstitium, but the reason for this difference is unclear. We hypothesized that the phenomenon is due to the protective crosstalk among intrinsic glomerular cells. To mimic the microenvironment and investigate the crosstalk process temporally, we established co-culture models of glomerular endothelial cells (GEnCs) with podocytes or with mesangial cells. We found that podocytes rather than mesangial cells prevented GEnCs from injury and hypoxia-induced apoptosis and promoted migration and angiogenesis of GEnCs under hypoxic conditions. We then identified that increased activation of the hypoxia inducible factor 1α (HIF-1α) pathway as the major mechanism enabling podocytes to protect GEnCs against hypoxia. HIF-1α stabilization during hypoxia is known to be dependent on SUMO-specific protease 1 (SENP1)-mediated deSUMOylate modifications. Therefore, we further targeted deSUMOylation, regulated by SENP1, by short hairpin RNA (shRNA) knockdown of SENP1 mRNA in vitro and measured expression of HIF-1α and its downstream gene VEGF in hypoxic podocytes. Our results showed that SENP1 was essential for HIF-1α deSUMOylation in podocytes. The blockade of deSUMOylation by SENP1 shRNA successfully abolished the activation of HIF-1α signaling and consequently suppressed the protective effects of podocytes on GEnCs. In conclusion, we demonstrate for the first time that hypoxia may promote HIF-1α stabilization and activation by increasing SENP1 expression in podocytes, which induce GEnCs survival and angiogenesis to resist hypoxia. Thus, deSUMOylation of HIF-1α signaling is a potentially novel therapeutic target for treating hypoxic renal disorders.