Search

Background and Aims: Neurotensin (NT) is a gut hormone with broad effects on the cardiovascular system. Recent data suggested that circulating proneurotensin (pro-NT)-the stable precursor fragment of NT-could independently predict cardiovascular artery disease (CAD) development. However, serum pro-NT levels in patients with premature cardiovascular artery disease (PCAD) are still unknown. This study aims to determine serum pro-NT levels in patients with PCAD and investigate its relationship with PCAD risk.Methods and Results: A total of 490 subjects, including 364 with PCAD and 126 without PCAD (NPCAD), and 182 controls were enrolled in the study. Data of baseline clinical parameters and biochemical variables were collected. Serum pro-NT levels were measured by ELISA. Serum pro-NT levels were higher in patients with PCAD than in controls (59.42 ± 66.66 vs. 38.07 ± 48.48 pg/mL, P < 0.05), especially in patients with BMI<25 kg/m2. Serum pro-NT levels were independently related to PCAD (β = 0.349, P < 0.001), and the association revealed a U-shaped curve characteristic between pro-NT tertiles and CAD risk in patients with premature CAD and controls. Subjects with low and high tertiles of pro-NT levels had 1.79-fold and 2.23-fold higher risks of PCAD, respectively, than subjects with median pro-NT levels (P < 0.05). After adjusting for age, gender, and BMI in Model 1 and other confounders in Model 2 and Model 3, the U-shaped relationship remained significant.Conclusion: Serum pro-NT levels were significantly increased in patients with PCAD. The association between pro-NT levels and PCAD risk presents a U-shaped curve characteristic, which demonstrated that subjects with lower and higher pro-NT levels both were more likely to have PCAD. [ABSTRACT FROM AUTHOR]

The continuous malicious software (malware) attacks on smartphones pose a serious threat to the security of users, especially the dominant platform Android. Data-driven methods based on machine learning algorithms are a promising way to defend against that. In this paper, we explore the limitations of this kind of methods in improving the performance of malware detection, e.g., considering each feature in isolation and relying on balanced class data, and propose a multi-model ensemble framework MEFDroid by combining individual predictors, where hybrid deep learning based feature extraction methods are adopted to learn meaningful features from raw data. Besides, a novel fusion scheme is exploited to fuse multi-level representations and mine their correlations to maximize the utilization of original information. To evaluate the effectiveness of the MEFDroid framework, we conduct a step-by-step model justification experiment to investigate how the proposed algorithms (i.e., ESAES, EDAES and EDAFS) enhance the malware detection performance gradually. We also compare the proposed algorithms with classical machine learning methods, conventional sampling solutions for the imbalance problem. Besides, we investigate the reliability of our proposed methods using another public dataset. Our extensive experimental results demonstrate that the target model EDAFS in MEFDroid outperforms others in terms of most metrics, which means that it is an effective alternative solution to detect Android malware. [ABSTRACT FROM AUTHOR]

Objective To investigate the prevalence and possible factors influencing metabolic syndrome in people from Guizhou Province and to explore the predictive value of the fat-to-muscle ratio in diagnosing metabolic syndrome. Methods A multistage stratified sampling method was used in this cross-sectional study of 20–80 years old Han and Bouyei populations from Guizhou Province, southwestern China, from October-December 2012. The study included 4,553 cases of metabolic syndrome, that was defined according to 2005 International Diabetes Federation criteria. The receiver operating characteristic curve was used for determining the sensitivity, specificity, and predictive ability of the fat-to-muscle ratio for the diagnosis of metabolic syndrome. Results The age-standardized prevalence of metabolic syndrome was 11.38% (men: 9.76%; women: 12.72%) for Han and 4.78% (men: 4.43%; women: 5.30%) for Bouyei populations. In Guizhou Province, the cut-off value for the men fat-to-muscle ratio was 0.34, the area under the curve was 0.95, and the sensitivity and specificity were 0.94 and 0.85, respectively. The cut-off value for the women fat-to-muscle ratio was 0.55, the area under the curve was 0.91, and the sensitivity and specificity were 0.93 and 0.79, respectively. Conclusion The fat-to-muscle ratio is highly predictive of metabolic syndrome in Guizhou Province, and a useful reference indicator. [ABSTRACT FROM AUTHOR]

The Android platform is becoming increasingly popular and various organizations have developed a variety of applications (App) to cater to market trends. Due to the characteristics of the Android platform, such as supporting the unofficial App stores, open source policy and the great tolerance for App verification, it is inevitable that it faces serious problems of malicious software intrusion. In order to protect the users from the serious damages caused by Android malware, we propose a low-cost and high-efficient method to extract permissions, sensitive APIs, monitoring system events and permission-rate as key features, and employ the ensemble Rotation Forest (RF) to construct a model to detect whether an Android App is malicious or not. Specifically, a dataset containing 2,130 samples is used to verify the performance of the proposed method. The experimental results show that the proposed method achieves an high accuracy of 88.26% with 88.40% sensitivity at the precision of 88.16%. To further evaluate the performance of the proposed model, we also compare it with the state-of-the-art Support Vector Machine (SVM) model under the same experimental conditions, and the comparison results demonstrate that the proposed method improves the accuracy by 3.33% compared to SVM. The experimental results show that the proposed model is extremely promising and could provide a cost-effective alternative for Android malware detection. [ABSTRACT FROM AUTHOR]

The popularity and flexibility of the Android platform makes it the primary target of malicious attackers. The behaviors of malware, such as malicious charges and privacy theft, pose serious security threats to users. Permission granting, as the primary security scheme of Android, is a prerequisite for performing dangerous operations on devices by invoking Application Programming Interfaces (APIs). Besides, permission and hardware features are jointly declared in the manifest file of an application (app) to guarantee its device compatibility. Thus, we extract permissions, API calls and hardware features to characterize apps. Furthermore, we design a novel architectural unit, Multi-Head Squeeze-and-Excitation Residual block (MSer), to learn the intrinsic correlation between features and recalibrating them from multiple perspectives. Based on these two works, we propose a new malware detection framework MSerNetDroid. To investigate the effectiveness of the proposed framework, we analyzed 2,126 malicious apps and 1,061 benign ones collected from VirusShare and Google Play Store. The assessment results demonstrate that the proposed model successful detects malware with an accuracy of 96.48%. We also compare the proposed method with the state-of-the-art approaches, including the use of diversity static features and various detection algorithms. These promising experimental results consistently show that MSerNetDroid is an effective way to detect Android malware. [ABSTRACT FROM AUTHOR]

Currently, studies on the association between per-/polyfluoroalkyl substances (PFAS) concentrations and the renal function of residents, especially teenagers, living near fluorochemical industrial plants, are relatively rare, and not all these studies suggested associations. In this cross-sectional study, 775 local teenagers (11–15 years old) were included, and serum concentrations of 18 PFAS were measured. Perfluorooctanoic acid (PFOA) was found to be the dominant PFAS with a concentration of 22.3–3310 ng/mL (mean = 191 ng/mL), accounting for 71.5–99.1% of ΣPFAS. Statistical analyses demonstrated that internal exposure of perfluoroalkyl carboxylic acids (PFCA, C8–C10) was related to the plant. In addition, the prevalence rate of chronic kidney disease (CKD) (35.0%) in the participants was relatively high. A significantly positive association was observed between the increase in PFOA concentration and increasing risk of CKD (OR = 1.741; 95% CI: 1.004, 3.088; p = 0.048) by adjusting for gender, age, body mass index (BMI), and household income. Similar positive correlation was also observed in PFHpA with CKD (OR = 1.628, 95% CI: 1.031, 2.572; p = 0.037). However, no significant correlation was observed for concentrations of other PFAS and CKD (p > 0.05). Furthermore, linear regression analyses demonstrated that none of the PFAS concentrations were significantly correlated with estimated glomerular filtration rate (eGFR) or urine albumin/urine creatinine ratio (ACR) (p > 0.05). However, a significantly negative correlation was observed between PFOA concentration and abnormal ACR (β = −0.141, 95% CI: −0.283, 0.001; p = 0.048) after stratifying by CKD. Sensitivity analyses further confirmed these results. This cross-sectional study is the first, to our knowledge, to investigate the association between PFAS concentrations and renal function in teenagers living near a Chinese industrial plant. Further prospective and metabonomic studies are needed to interpret the results and clarify the biological mechanisms underlying this association. [Display omitted] • Extremely high PFOA exposure in local teenagers was related to an industrial plant. • The prevalence rate of CKD (35.0%) in the participants was relatively high. • A significantly negative correlation was observed between PFOA and abnormal ACR. • Serum PFOA concentrations were significantly associated with a higher risk of CKD. [ABSTRACT FROM AUTHOR]

Abstract: Background: Safflor yellow A (SY) has been demonstrated to be beneficial to cardiovascular system. Our previous study showed that hydroxysafflor yellow A (HSYA), a main component of SY, could increase peroxisome proliferator-activated receptor γ mRNA expression. In this study, we investigate the effect of HSYA on the proliferation and adipogenesis of mouse 3T3-L1 preadipocytes. Methods: The proliferation and adipogenesis of 3T3-L1 cells treated with HSYA was studied by 3-(4,5-dimethylthiazol-2-yl) 2,5-diphenyl tetrazolium bromide (MTT) spectrophotometry, Oil Red O staining and intracellular triglyceride assay methods. HSL mRNA expression and promoter activity were studied by real-time quantitative RT-PCR, transient transfection and dual luciferase reporter gene methods. Results: HSYA (0.1mg/L) significantly inhibited the proliferation of 3T3-L1 cells when compared with control cells in 8h. This effect was further enhanced with the extension time (24 to 96h) and an increase of concentration of HSYA (1–10mg/L). The maximal inhibitory action was observed at 0.1mg/L HSYA in 72h (86±11.8% vs. 100±4.1%, p<0.01). HSYA notably reduced the amount of intracellular lipid and triglyceride content in adipocytes to 85% (1mg/L) and 75% (100mg/L) on Day 4 following the differentiation, respectively, while increased HSL mRNA expression and promoter activities to 2.7 fold and 1.55 fold, respectively (p<0.01), in differentiated 3T3-L1 adipocytes. Conclusions: HSYA inhibits the proliferation and adipogenesis of 3T3-L1 preadipocytes. The inhibitory action of HYSA on adipogenesis may be due to the promotion of lipolytic-specific enzyme HSL expression by increasing HSL promoter activity. [Copyright &y& Elsevier]

Abstract: Objective: Zinc-α2-glycoprotein (ZAG) has been identified recently as a novel adipokine due to its close link with lipid and glucose metabolism, as well as regulation of body weight. The aim of our present study is to investigate the ZAG genetic polymorphism association with obesity in Chinese north Han population. Design and methods: Five SNPs of ZAG gene including rs2247607 (A>T), rs4727442 (G>T), rs4215 (A>G), rs2527923 (C>T) and rs2527882 (C>T) were genotyped in 648 overweight/obese patients and 313 healthy controls by TaqMan-PCR methods. Crosstabs statistical analysis method with subjects stratifying by age (≦30y, 31–45y, ≧46y) and gender was used. Results: The results showed the constitution of three genotype frequencies in rs4215 (A>G) site significantly differs in male subgroup (aged 31–45y) between overweight/obese and healthy control group (χ 2 =6.401, P=0.041). GG genotype frequency in overweight/obese group is 19.3% which is much higher than 6.1% in healthy control group. Further statistical analysis under a recessive inheritance model demonstrated odd ratio (OR) for GG vs. AA+AG in overweight/obese group was 3.674 (95% CI 1.049–12.866; P=0.035). Among three genotypes of rs4215, the subjects with GG genotype have much more higher body weight, BMI, waist circumference and SBP. Conclusion: Our data, for the first time, suggest the genotypes of rs4215 in ZAG gene are significantly associated with obesity in Chinese north Han population. GG genotype subjects in rs4215 site have an increased susceptibility to obesity when compared with the AA+AG genotype subjects. [Copyright &y& Elsevier]

Summary: Recent studies of obesity have provided new insights into the mechanisms underlying insulin resistance and metabolic dysregulation. Numerous efforts have been made to identify key regulators of obesity-linked adipose tissue inflammation and insulin resistance. We found that angiopoietin-like protein 2 (Angptl2) was secreted by adipose tissue and that its circulating level was closely related to adiposity, systemic insulin resistance, and inflammation in both mice and humans. Angptl2 activated an inflammatory cascade in endothelial cells via integrin signaling and induced chemotaxis of monocytes/macrophages. Constitutive Angptl2 activation in vivo induced inflammation of the vasculature characterized by abundant attachment of leukocytes to the vessel walls and increased permeability. Angptl2 deletion ameliorated adipose tissue inflammation and systemic insulin resistance in diet-induced obese mice. Conversely, Angptl2 overexpression in adipose tissue caused local inflammation and systemic insulin resistance in nonobese mice. Thus, Angptl2 is a key adipocyte-derived inflammatory mediator that links obesity to systemic insulin resistance. [Copyright &y& Elsevier]

Abstract: Context: Myostatin (MSTN) is a member of the TGF-β superfamily of signal transduction proteins, which plays an important role in muscular growth and lipid metabolism. Objective: To study the association of myostatin gene polymorphisms with obesity in Chinese north Han human subjects. Design: 297 healthy and 606 over-weight/obesity Chinese north Han subjects were selected as healthy control group and overweight/obesity group, respectively. The methods of DNA Sequencing, Restriction Fragment Length Polymorphism (RFLP) and TaqMan® probe were used to screen myostatin gene SNPs and clarify genotype in every individual. Results: Total 11 SNPs in MSTN gene were identified by DNA sequencing and three SNPs including rs35781413 (G/A), rs3791783 (A/G) and rs3791782 (A/G) were selected for further study in total 903 samples. The results showed that the frequency of AA genotype of rs3791783 A/G SNP was significantly higher (56.4% vs. 50.8%) and the frequency GG genotype was significantly lower (3.2% vs. 6.7%) in overweight/obese patients than in normal weight subjects. A logistic regression analysis under a recessive inheritance model (AA+AG vs.GG) demonstrated that the Odd ratio for AA+AG vs.GG were 1.985 (95% CI 1.078–3.643; P=0.029). Among three genotypes of rs3791783, the subjects with AA genotype have much more higher body weight, BMI, waist circumference, TC, TG and LDL-C than those with GG genotype. Conclusions: Our data firstly suggest that genetic variant rs3791783 A/G in myostatin gene are associated with obesity. The A allele carriers in rs3791783 SNP have an increased susceptibility to obesity compared with the G allele carriers. Participants with AA genotype in rs3791783 SNP site will have higher risk suffered from overweight or obesity than those with GG genotype. [Copyright &y& Elsevier]

• Serum PFCAs (C8-C10) declined with the increasing distance from the fluorochemical industrial plant. • The source of PFCAs in soil (C5-C9) and serum (C8-C10) was the fluorochemical industrial plant. • There is a potential health risk for some teenagers with high serum concentrations of PFOA. Discharges released from fluorochemical industrial plants lead to severe contamination of the environment with per- and polyfluoroalkyl substances (PFASs), which may pose risks to human health. In this study, 187 serum samples from teenagers (age = 14 years), 22 tap water samples and 40 soil samples were collected in areas within 0–11 km of a fluorochemical industrial plant in Huantai County, Shandong Province, and concentrations of 18 PFASs were quantified by UPLC-MS/MS. Perfluorooctanoic acid (PFOA) was found to be predominant, concentrations of which ranged from 40.4 to 845 ng/mL in serum, from 2.88 to 19.3 ng/L in tap water, from 4.40 to 189 ng/g in soil, and accounting for 84.1–98.6%, 15.9–79.8%, and 73.8–96.7% of the total PFASs, respectively. Statistical analysis demonstrated that concentrations of perfluorinated carboxylic acids (PFCAs) in soil (C5-C9) and serum (C8-C10) were associated with the industrial plant. And PFOA concentrations in tap water were not relevant to the industrial plant, which were comparable with the non-contaminated area and lower than the threshold value recommended by U.S. EPA (70 ng/mL), indicating that the contribution to the high concentration of serum PFOA of local teenagers by drinking water was limited. Moreover, PFCAs in soil only made a limited contribution to the serum PFCAs of local residents by direct inhalation and dermal exposure, but the potential health risk by the soil via food chain should be paid attention to. Furthermore, health risk assessment demonstrated that high concentrations of PFOA in serum could pose potential health risk to local teenagers. Therefore, effective measures should be taken to attenuate the health risks caused by the industrial plant to local residents, and further epidemiological studies should be carried out in the future. [ABSTRACT FROM AUTHOR]