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Due to dietary patterns, the aging population, and other high-risk factors, the occurrence of pancreatic cancer (PC) has been rapidly increasing in China.To present the epidemiological trends of PC in China over the past decade and the estimated trend in 2025 and to compare the international differences in PC morbidity and mortality.This study used a series of nationally representative data from the National Central Cancer Registry of China (NCCR), the International Agency for Research on Cancer and the Institute for Health Metrics and Evaluation databases. Age-standardized data of the PC incidence and mortality from 2006 to 2015 in China were extracted from the NCCR database. Linear regression models were used to estimate the incidence and mortality rates of PC in 2025.The age-standardized rates of PC in China increased from 3.65 per 100000 in 2006 to 4.31 per 100000 in 2015 and were estimated to reach up to 5.52 per 100000 in 2025. The mortality went from 3.35 per 100000 in 2006 to 3.78 per 100000 in 2015, estimated to reach up to 4.6 per 100000 in 2025. The number of new cases and deaths was low before 45 years and the peak age of onset was 85-89 years. The incidence and mortality rates in men were higher than those in women regardless of the region in China. In addition, the incidence and mortality rates in China were higher than the average level around the world. Likewise, disability-adjusted life years attributed to PC in China were 197.22 years per 100000, above the average level around the world.This study presented an increasing trend of PC in China and differences in morbidity, mortality and disability-adjusted life years between Chinese and global populations. Efforts need to be made to decrease the PC incidence and improve patient outcomes.

Probabilistic load flow (PLF) is an important tool in power system planning and operation. One limitation of conventional PLF is that only the probability information of random variables is obtained as a reference for related analyses. Frequency and duration information often plays an important role in power system assessment. In this study, a frequency and duration method for PLF with correlated wind power sources and loads is proposed based on Latin hypercube sampling (LHS), Nataf transformation, and Markov chains. In the proposed method, the spatial and temporal correlations among wind power sources and loads are addressed using Nataf transformation and Markov chains, which are incorporated into the LHS framework to solve the PLF problem with frequency and duration quantities. With the proposed method, not only the probability information but also the frequency and duration information of the random output variables in a PLF problem can be efficiently and accurately obtained. The performance of the proposed PLF method is verified using comparative tests on three modified test systems.

It is thought that carbamylated modification plays a crucial role in the development and progression of cardiovascular disease (CVD) in patients with end-stage renal disease (ESRD). However, information on the biological effects of carbamylated high-density lipoprotein (C-HDL) in ESRD is poor. The present study investigated the carbamylation level of HDL in ESRD and the effects of C-HDL on endothelial repair properties. HDL was isolated from healthy control subjects ( n = 22) and patients with ESRD ( n = 30). The carbamylation level of HDL was detected using ELISA. Isolated C-HDL for use in tissue culture experiments was carbamylated in vitro to a similar extent to that observed in ESRD. Human arterial endothelial cells were treated with C-HDL or native HDL to assess their migration, proliferation, and angiogenesis properties. HDL-associated paraoxonase 1 activity was also determined by spectrophotometry assay. Compared with healthy control subjects, the carbamylation level of HDL in ESRD patients was increased and positively correlated with blood urea concentration. In vitro, C-HDL significantly inhibited migration, angiogenesis, and proliferation in endothelial cells. Mechanistic studies revealed that HDL-associated paraoxonase 1 activity was decreased and negatively correlated with the carbamylation level of HDL in ESRD patients. In addition, C-HDL suppressed the expression of VEGF receptor 2 and scavenger receptor class B type I signaling pathways in endothelial cells. In conclusion, the present study identified a significantly increased carbamylation level of HDL in ESRD. Furthermore, C-HDL inhibited endothelial cell repair functions.

On the basis of Markov chain, this paper proposes a frequency and duration method for probabilistic load flow (PLF) analysis with wind power by improving the probability-frequency distribution function (PFDF) method. With this proposed method, the probability, frequency, and duration information of random output variables in the PLF problem can be efficiently computed by convolution and addition operation of PFDFs for random input variables. A numerical test on the modified IEEE-RTS79 grid verifies the effectiveness of the proposed method.

Forecasting results of regional photovoltaic (PV) installed capacity can provide important references for electric utilities and energy authorities. This paper proposes a three-step forecasting methodology of regional PV installed capacity. The first step is to study the relationship between regional PV installed capacity and a series of potential factors using co-integration analysis and Granger causality test; second, dimensionality reduction of influential factors is carried out by principal component analysis; in the last step, a grey support vector machine forecasting model is constructed based on the outcome of influential factors reduction. The example of Shanghai is given to illustrate the proposed methodology. Results show that factors such as electricity consumption, and generating cost of PV are closely related to PV installed capacity, nevertheless, sunshine duration and average temperature are not the Granger reasons for it; these findings are of great importance to the forecasting of 2016∼2030 PV installed capacity in Shanghai.

Replenishing the insulin-producing β-cell mass is considered to be a potential cure for diabetes. A recent study identified a secreted protein, known as betatrophin, which potently induces pancreatic β-cell proliferation. Notably, a number of studies reportedly identified betatrophin, which is also known as lipasin, atypical angiopoietin-like 8 and refeeding-induced fat and liver protein, and considered to be a novel regulator in lipid metabolism according to the studies. The identification of betatrophin was considered to create novel opportunities for potential diabetes therapy. In the present study, the current knowledge of betatrophin is reviewed, with regards to its character and function in lipid homeostasis and pancreatic β-cell proliferation.

la betatrofina es una novedosa adipoquina que provoca la proliferación de células β pancreáticas e interviene en el metabolismo de los lípidos. Objetivos: el propósito de este estudio es evaluar el papel de la betatrofina en el síndrome metabólico.se llevó a cabo un estudio hospitalario de casos y controles según sexo y edad. El nivel de betatrofina en suero fue evaluado mediante ensayo por inmunoabsorción ligado a enzimas. Se midieron las concentraciones en suero de 12 adipoquinas para evaluar las asociaciones con la betatrofina usando los kits comerciales Adipokine Magnetic Bead Panel. Los análisis estadísticos incluyeron correlación bivariada, análisis de curva ROC y análisis de regresión lineal multivariable.el nivel de betatrofina en suero fue más elevado en pacientes con síndrome metabólico (997,36 ± 475,92 pg/ml, p = 0,001) que en los controles (735,35 ± 526,51 pg/ml). Frente al tercil más bajo, el tercil más alto del nivel de betatrofina mostró una asociación con mayor riesgo de síndrome metabólico (odds ratio ajustado = 3,521, intervalo de confianza [IC] 95% [1,191-10,413], p = 0,023). Se desarrolló la curva ROC de betatrofina para pronosticar la presencia de síndrome metabólico (área bajo la curva ROC = 0,682 [95% IC, 0,597-0,767], p0,001). Además, la betatrofina mostró correlación con distintos parámetros, como edad (r = 0,286, p0,001), índice de masa corporal (r = 0,160, p = 0,046), índice cintura-cadera (r = 0,241, p = 0,002), lipoproteína de alta densidad (r = -0,167, p = 0,037), lipoproteína de baja densidad (r = -0,195, p = 0,015), glucosa plasmática en ayunas (r = 0,266, p = 0,001), hemoglobina A1C (r = 0,314, p0,001), índice de resistencia a la insulina mediante HOMA (r = 0,272, p = 0,001) y diversas adipoquinas, entre ellas resistina (r = 0,571, p0,001), interleucina-8 (r = 0,435, p0,001), factor de necrosis tumoral alfa (r = 0,295, p = 0,011) y lipocalina-2 (r = 0,346, p = 0,003).este estudio demuestra que la betatrofina en suero desempeña una importante labor en el síndrome metabólico, implicando la regulación del metabolismo de la glucosa y los lípidos y la inflamación.

Background: Betatrophin is a novel adipokine that provokes pancreatic β-cell proliferation and is involved in lipid metabolism. Aims: This study aims to evaluate the role of serum betatrophin in metabolic syndrome (MetS). Methods: A hospital-based, age-/gender-matched case control study was conducted. The serum betatrophin level was evaluated by enzyme-linked immunosorbent assay. Serum concentrations of 12 adipokines were measured to assess their associations with serum betatrophin, using commercial Adipokine Magnetic Bead Panel kits. Statistical analyses included bivariate correlation, receiver operating characteristic (ROC) curve, and multivariate stepwise linear regression. Results: Serum betatrophin showed a higher level in MetS patients (997.36 ± 475.92 pg/ml, p = 0.001) compared with controls (735.35 ± 526.51 pg/ml). Compared with the lowest tertile, the highest tertile of serum betatrophin level indicated an association with higher risk of MetS (adjusted odds ratio = 3.521, 95% confidence interval [CI] [1.191-10.413], p = 0.023). ROC curve of betatrophin was developed to predict the presence of MetS (area under ROC = 0.682 [95% CI, 0.597-0.767], p < 0.001). Furthermore, betatrophin correlated with several parameters, e.g. age (r = 0.286, p < 0.001), body mass index (r = 0.160, p = 0.046), waist-to-hip ratio (r = 0.241, p = 0.002), high-density lipoprotein cholesterol (r = -0.167, p = 0.037), low-density lipoprotein cholesterol (r = -0.195, p = 0.015), fasting plasma glucose (r = 0.266, p = 0.001), hemoglobin A1C (r = 0.314, p < 0.001), homeostasis model assessment of insulin resistance (r = 0.272, p = 0.001), and various adipokines, e.g. resistin (r = 0. 571, p < 0.001), interleukin-8 (r = 0.435, p < 0.001), tumor necrosis factor-α (r = 0.295, p = 0.011) and lipocalin-2 (r = 0.346, p = 0.003). Conclusions: This study supports that serum betatrophin plays an important role in MetS, involving the regulations of glucose and lipid metabolism and inflammation. Introducción: la betatrofina es una novedosa adipoquina que provoca la proliferación de células β pancreáticas e interviene en el metabolismo de los lípidos. Objetivos: el propósito de este estudio es evaluar el papel de la betatrofina en el síndrome metabólico. Método: se llevó a cabo un estudio hospitalario de casos y controles según sexo y edad. El nivel de betatrofina en suero fue evaluado mediante ensayo por inmunoabsorción ligado a enzimas. Se midieron las concentraciones en suero de 12 adipoquinas para evaluar las asociaciones con la betatrofina usando los kits comerciales Adipokine Magnetic Bead Panel. Los análisis estadísticos incluyeron correlación bivariada, análisis de curva ROC y análisis de regresión lineal multivariable. Resultados: el nivel de betatrofina en suero fue más elevado en pacientes con síndrome metabólico (997,36 ± 475,92 pg/ml, p = 0,001) que en los controles (735,35 ± 526,51 pg/ml). Frente al tercil más bajo, el tercil más alto del nivel de betatrofina mostró una asociación con mayor riesgo de síndrome metabólico (odds ratio ajustado = 3,521, intervalo de confianza [IC] 95% [1,191-10,413], p = 0,023). Se desarrolló la curva ROC de betatrofina para pronosticar la presencia de síndrome metabólico (área bajo la curva ROC = 0,682 [95% IC, 0,597-0,767], p < 0,001). Además, la betatrofina mostró correlación con distintos parámetros, como edad (r = 0,286, p < 0,001), índice de masa corporal (r = 0,160, p = 0,046), índice cintura-cadera (r = 0,241, p = 0,002), lipoproteína de alta densidad (r = -0,167, p = 0,037), lipoproteína de baja densidad (r = -0,195, p = 0,015), glucosa plasmática en ayunas (r = 0,266, p = 0,001), hemoglobina A1C (r = 0,314, p < 0,001), índice de resistencia a la insulina mediante HOMA (r = 0,272, p = 0,001) y diversas adipoquinas, entre ellas resistina (r = 0,571, p < 0,001), interleucina-8 (r = 0,435, p < 0,001), factor de necrosis tumoral alfa (r = 0,295, p = 0,011) y lipocalina-2 (r = 0,346, p = 0,003). Conclusiones: este estudio demuestra que la betatrofina en suero desempeña una importante labor en el síndrome metabólico, implicando la regulación del metabolismo de la glucosa y los lípidos y la inflamación.

There are a multitude of cross-sectional surveys that provide the prevalence of irritable bowel syndrome (IBS) in the community. However, the data regarding the influence of socioeconomic status on prevalence of IBS were sparse. This study is to investigate the possible relation between human development and prevalence of IBS, at national level.EMBASE Classic, EMBASE, and MEDLINE were searched (until October 2013) to identify population-based studies that reported prevalence of IBS. Human Development Index (HDI) was chosen to assess socioeconomic status at national level.Firstly, no correlation was observed between prevalence of IBS and national HDI (P = 0.848). Specifically, there was no statistical significance in prevalence between developing and developed countries (P = 0.319). Moreover, prevalence of IBS failed to witness a downtrend in worldwide over the past two decades. Interestingly, the ratio of female/male prevalence was correlated with national HDI according to linear regression analysis (r = 0.395), and the ratio in the developing was significant lower than that in the developed (P = 0.0394). Lastly, except methods of data collection (P0.000), it shows no difference between developing and developed countries in diagnostic criteria, IBS subtypes, and age distribution (P = 0.119, 0.327, and 0.845 respectively).This study is the first time to investigate the relation between IBS prevalence and national socioeconomic status, with consideration of years, gender, and other factors. It demonstrates that national development is not a direct indicator for prevalence of IBS.

aortic valve disease: classification by cardiovascular magnetic resonance. Heart 2010;96:1233–40. [8] Roberts WC. The congenitally bicuspid aortic valve: a study of 85 autopsy cases. Am J Cardiol 1970;26(1):72–83. [9] Fedak PW, Verma S, David TE, Leask RL, Weisel RD, Butany J. Clinical and pathophysiological implications of a bicuspid aortic valve. Circulation 2002;106(8):900–4. [10] Robicsek F, Thubrikar MJ, Cook JW, Fowler B. The congenitally bicuspid aortic valve: how does it function? Why does it fail? Ann Thorac Surg 2004;77:177–85. [11] Thanassoulis G, Campbell CY, Owens DS, et al. Genetic associations with valvular calcification and aortic stenosis. N Engl J Med 2013;368:503–12.