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To investigate the risk factors for metabolic bone disease of prematurity (MBDP), and to provide a reference for the prevention of MBDP. The databases including China Biomedical Literature Service System, China National Knowledge Infrastructure, Wanfang Data, and Weipu Periodical Database, PubMed, Web of Science, Embase, Cochrane Library and other databases were searched for studies on the risk factors for MBDP published up to June 18, 2021. RevMan 5.3 and Stata 14.1 software were used to perform a Meta analysis. A total of 15 articles were included, including 13 case-control studies, 1 current investigation, and 1 retrospective cohort study. There were 1,435 cases in the case group and 2,057 cases in the control group, with a total sample size of 3,492 cases. Meta analysis showed that risk factors for MBDP include birth weight <1000g (OR = 6.62, 95%CI: 2.28-19.25), gestational age <32 weeks (OR = 2.73, 95%CI: 1.07-6.95), septicemia (OR = 2.53, 95%CI: 1.69-3.79), parenteral nutrition time (OR = 4.04, 95%CI: 1.72-9.49), cholestasis (OR = 3.50, 95%CI: 1.49-8.23), intrauterine growth retardation (OR = 6.89, 95%CI: 3.81-12.44), while the birth weight(OR = 0.44, 95%CI: 0.21-0.90) and gestational age (OR = 0.57, 95%CI: 0.44-0.73)are the protective factors of MBDP. Factors like birth weight <1000g, gestational age <32 weeks, septicemia, parenteral nutrition time, cholestasis, and intrauterine growth retardation may increase the risk of metabolic bone disease of prematurity.

Human motion recognition is of great value in the fields of intelligent monitoring systems, driver assistance system, advanced human-computer interaction, human motion analysis, image and video processing. However, the current human motion recognition methods have the problem of poor recognition effect. Therefore, we propose a human motion recognition method based on Nano complementary metal oxide semiconductor (CMOS) image sensor. First, using the Nano-CMOS image sensor to transform and process the human motion image, and combines the background mixed model of pixels in the human motion image to extract the human motion features, and feature selection is conducted. Second, according to the three-dimensional scanning features of Nano-CMOS image sensor, the human joint coordinate information data is collected, the state variables of human motion are sensed by the sensor, and the human motion model is constructed according to the measurement matrix of human motions. Finally, the foreground features of human motion images are obtained by calculating the feature parameters of each motion gesture. According to the posterior conditional probability of human motion images, the recognition objective function of human motion is obtained to realize human motion recognition. The results show that the human motion recognition effect of the proposed method is good, the extraction accuracy is high, the average human motion recognition rate is 92%, the classification accuracy is high, and the recognition speed is up to 186 frames/s.

Objective Hyperbilirubinemia is a common disease in the neonatal period, and hyperbilirubinemia may cause brain damage. Therefore, prevention and diagnosis and management of hyperbilirubinemia is very important, and vitamin D may affect bilirubin levels. To evaluate the relationship between neonatal hyperbilirubinemia and vitamin D levels. Method The China National Knowledge Infrastructure, VIP, Wanfang, Chinese Biology Medicine Disc, PubMed, Web of Science, Cochrane Library, and Embase databases as well as clinical trial registries in China and the United States were searched for relevant studies from inception to September 2020 without restrictions on language, population, or year. The studies was screened by two reviewers independently, the data were extracted, and the risk of bias of the included studies was evaluated using the NOS. A meta-analysis was conducted on the included studies using Stata11 software. Results Six case-control studies were included, and the methodological quality of the studies was high (grade A). The studies included 690 newborns; more than 409 were diagnosed with hyperbilirubinemia. The means and standard deviations were calculated. Meta-analysis results showed that neonatal vitamin D levels were 7.1 ng/ml lower among infants with hyperbilirubinemia than among healthy newborn levels (z = 6.95, 95% CI 9.10 ~ 5.09, P < 0.05). Subgroup analysis was conducted based on whether the bilirubin levels were concentrated in the 15 to 20 mg/dl range. Vitamin D level of infants with hyperbilirubinemia (the bilirubin levels were concentrated in the 15 to 20 mg/dl range) was 9.52 ng/ml (Z = 15.55, 95% CI-10.72~-8.32, P<0.05) lower than that of healthy infants. The bilirubin levels in four cases were not concentrated in the 15-20 mg/dl range. The results showed that the vitamin D level of hyperbilirubinemia (The bilirubin levels were not concentrated in the 15-20 mg/dl range) neonates were 5.35 ng/ml lower than that of healthy neonates (Z = 6.43, 95% CI-6.98~-3.72, P<0.05). Conclusion Vitamin D levels were observed to be lower in neonates with hyperbilirubinemia as compared to term neonates without hyperbilirubinemia in this study. This can possibly suggest that neonates with lower vitamin D levels are at higher risk for developing hyperbilirubinemia.

The relationship between High-mobility group box 1 (HMGB1) and febrile seizures (FS) in children remains unclear. This study aimed to apply meta-analysis to reveal the correlation between HMGB1 levels and FS in children. Databases including PubMed, EMBASE, Web of science, Cochrane library, CNKI, SinoMed and WanFangData were searched for relevant studies. Pooled standard mean deviation and 95% confidence interval were calculated as effect size since the random-effects model was used when I 2  > 50%. Meanwhile, between-study heterogeneity was determined by performing subgroup and sensitivity analyses. A total of 9 studies were finally included. Meta-analysis showed that the children with FS had significantly higher HMGB1 levels compared with healthy children and children with fever but no seizures (P<0.05). Additionally, subgroup analysis showed that the HMGB1 level in children with complex FS was higher than those with simple FS (P<0.05), and children with duration >15 min were higher than those with duration ≤15min (P<0.05). There were no statistical differences between children with or without a family history of FS (P>0.05). Finally, children with FS who converted to epilepsy exhibited higher HMGB1 levels than those who did not convert to epilepsy (P<0.05). The level of HMGB1 may be implicated in the prolongation, recurrence and development of FS in children. Thus, it was necessary to evaluate the precise concentrations of HMGB1 in FS patients and to further determine the various activities of HMGB1 during FS by well-designed, large-scale, and case-controlled trials.

For almost all the research of super anti-wetting surfaces, pure liquids like water and n -hexadecane are used as the probes. However, liquids of diverse compositions are used in academic research, industrial production and our daily life. Obviously, the liquid repellency of super anti-wetting coatings is highly dependent on properties of the liquids. Here, we report the first superamphiphobic surface with high repellency towards liquids of extremely high viscosity and low surface tension. The surfaces were prepared by constructing a hierarchical micro-/nanostructure on the Cu micropillar arrays followed by modification with perfluorosilane. The surfaces are superamphiphobic towards the liquids with extremely high viscosity and low surface tension because of (i) the micro-/nanostructured surface composed of micropillars with proper pillar distance and CuO nano-flowers, and (ii) the abundant perfluorodecyl groups on the surface. The contact angles, sliding angles, apparent contact line at the solid-liquid interface and adhesion forces are the end products of micropillar distance, viscosity and surface tension. Smaller micropillar distance, higher viscosity and higher surface tension contribute to reducing the adhesion force. We in situ observed the process of microcapillary bridge rupture for the first time using highly viscous liquids. We also successfully reduced the adhesion forces and enhanced the average rolling velocity of liquids with extremely high viscosity and low surface tension by regulating the micropillar distance.

Diabetes-associated cognitive dysfunction (DACD) is increasingly recognized as a critical complication of diabetes. The complex pathology of DACD remains unknown. Here, we performed single-nucleus RNA sequencing (snRNA-seq) to demonstrate unique cellular and molecular patterns of the hippocampus from a mouse model of diabetes. More in-depth analysis of oligodendrocytes (OLs) distinguished five subclusters, indicating different functional states of OLs and transcriptional changes in each subcluster. Based on the results of snRNA-seq and experiments in vivo, we observed demyelination and disharmony of oligodendroglial lineage cell composition in male diabetic mice. Serum/glucocorticoid regulated kinase 1 (SGK1) expression was significantly increased in the hippocampus OLs of male diabetic mice, and SGK1 knockdown in hippocampus reversed demyelination and DACD via N-myc downstream-regulated gene 1 (NDRG1)-mediated pathway. The findings illustrated a transcriptional landscape of hippocampal OLs and substantiated impaired myelination in DACD. Our results provided direct evidence that inhibition of SGK1 or the promotion of myelination might be a potential therapeutic strategy for DACD. Diabetes-associated cognitive dysfunction (DACD) is increasingly recognized as a critical complication of diabetes. Here, the authors show that SGK1 drives hippocampal demyelination and DACD via regulating NDRG1 phosphorylation.

Aims/Introduction Galectin‐3 (Gal3) contributes to insulin resistance, inflammation and obesity, the three risk factors for mild cognitive impairment (MCI) in type 2 diabetes mellitus patients. Materials and methods A total of 134 hospitalized type 2 diabetes mellitus patients were assessed by the Montreal Cognitive Assessment method, and divided into 65 MCI and 69 controls. Levels of variables, Gal3 and Aβ42, were investigated in relation with cognitive function in both type 2 diabetes mellitus patients with MCI and high‐fat diet/streptozotocin induced type 2 diabetes mellitus rats. Results Significantly higher levels of serum Gal3 and lower levels of plasma Aβ42 (all P < 0.05) were found in the MCI type 2 diabetes mellitus group as compared with the non‐MCI type 2 diabetes mellitus control. Partial correlation analysis showed that Gal3 is negatively correlated with both MMSE score (r = −0.51, P < 0.01) and Montreal Cognitive Assessment score (r = −0.47, P < 0.001) after adjustment for glycated hemoglobin, homoeostasis model assessment of insulin resistance and Aβ42 in all type 2 diabetes mellitus patients, with a stronger effect seen in the MCI type 2 diabetes mellitus group after further analysis with MCI strata. A simple logistic regression model showed that Gal3 and Aβ42 are significantly associated with MCI type 2 diabetes mellitus patients after adjustment with the covariates sex, age, body mass index, glycated hemoglobin, homoeostasis model assessment of insulin resistance and antidiabetic drugs. Serum and brain Gal3 levels were significantly increased in high‐fat diet/streptozotocin diabetic rats, which correlate to the impairment of learning and memory ability. Gal3 inhibitor modified citrus pectin decreased serum and brain Gal3 levels in diabetic rats, accompanied by the amelioration of learning and memory impairment. Conclusions Gal3 might be associated with cognitive impairment in type 2 diabetes mellitus, and serum Gal3 level might be a new risk factor of MCI in type 2 diabetes mellitus patients. Galectin‐3 might be associated with cognitive impairment in type 2 diabetes mellitus. Serum galectin‐3 level could be a new risk factor of mild cognitive impairment in type 2 diabetes mellitus patients.

Contact calculation is of great importance in predicting the material removal (MR) of flexible grinding process (FGP). The contact is mostly considered approximately constant in the existing MR models, while the situations that contact varies a lot after FGP are ignored. Therefore, a novel model is proposed in this paper to take those situations into consideration. Firstly, the nonconstant-contact situation is introduced. Then, an equivalent method is developed to convert the nonconstant-contact grinding process into the accumulation of several quasi-constant-contact grinding processes. Based on the equivalent method, a MR model is established, and the procedure to obtain the model parameters by the finite element analysis (FEA) is introduced. In the end, the equivalent method and the MR model are tested by a series experiments of different process parameters. Results show that the proposed MR model can predict the material removal effectively for the nonconstant-contact situations.

In diabetes, cognitive impairment is linked with oxidative stress and neuroinflammation. As the only chimeric member of the galectin family, galectin-3 (Gal3) induces neuroinflammation and cognitive impairment in models of Alzheimer's disease (AD); however, its role in diabetes-associated cognitive impairment is not established. Here, we investigated the effects of Gal3 inhibition on cognitive impairment and the possible underlying molecular events in diabetes. We investigated the effects of the Gal3 inhibitor modified citrus pectin (MCP; 100 mg/kg/day oral for 6 weeks) in vivo in high-fat diet (HFD)/streptozotocin (STZ)-induced diabetic rats. Additionally, the effects of MCP on high glucose (HG)-stimulated BV-2 microglial cells were investigated in vitro. We found that MCP attenuated memory impairment in diabetic rats in the Morris water maze test and reduced insulin resistance, oxidative stress, and neuroinflammation. In HG-stimulated BV-2 microglial cells, MCP increased cell viability and decreased oxidative stress and the production of proinflammatory cytokines. The results of this study indicate that the inhibition of Gal3 by MCP ameliorates diabetes-associated cognitive impairment, oxidative stress, and neuroinflammation, suggesting that Gal3 could be a potential new target for therapeutic intervention to prevent cognitive impairment in diabetes.