The impact of context cues on college students' purchase behavior for low-carbon products in CBEC.

Introduction: The purpose of this study was to examine the effects of online shopping context cues (price discount, carbon label, and social commentary) on college students' trust/perceived risk and cross-border purchase intention (CBPI) for low-carbon products and compare the study between South Korean and Chinese college students. The theoretical framework is established by integrating the S-O-R model and valence framework. The variable of stimuli (S) is the driving force in the purchase behavior that influences the individual organism (O) and its subsequent response (R). Based on this logic, this study draws on the valence framework to hypothesize the effects of online shopping context cues (price discount, carbon label, and social commentary) on college students' trust/perceived risk and cross-border purchase intention (CBPI) for low-carbon products. Methods: This study conducted two online experiment-questionnaire studies and one between-subject lab experiment to test the hypotheses. Results: We found that all three context cues have significant positive effects on trust and negative effects on perceived risk. College students' trust positively and perceived risk negatively impact college students' CBPI for low-carbon products. In addition, based on different cultures, languages, and education, this study investigates the moderating effect of college students' nationality on their significantly different cue processing modes for low-carbon products. Discussion: The findings provide new insights into better understanding the factors affecting college students' low-carbon consumption behavior in a CBEC setting and have some practical implications.

Nrf2 deficiency deteriorates diabetic kidney disease in Akita model mice.

Oxidative stress is an essential component in the progression of diabetic kidney disease (DKD), and the transcription factor NF-E2-related factor-2 (Nrf2) plays critical roles in protecting the body against oxidative stress. To clarify the roles of Nrf2 in protecting against DKD, in this study we prepared compound mutant mice with diabetes and loss of antioxidative defense. Specifically, we prepared compound Ins2Akita/+ (Akita) and Nrf2 knockout (Akita::Nrf2-/-) or Akita and Nrf2 induction (Akita::Keap1FA/FA) mutant mice. Eighteen-week-old Akita::Nrf2-/- mice showed more severe diabetic symptoms than Akita mice. In the Akita::Nrf2-/- mouse kidneys, the glomeruli showed distended capillary loops, suggesting enhanced mesangiolysis. Distal tubules showed dilation and an increase in 8-hydroxydeoxyguanosine-positive staining. In the Akita::Nrf2-/- mouse kidneys, the expression of glutathione (GSH) synthesis-related genes was decreased, and the actual GSH level was decreased in matrix-assisted laser desorption/ionization mass spectrometry imaging analysis. Akita::Nrf2-/- mice exhibited severe inflammation and enhancement of infiltrated macrophages in the kidney. To further examine the progression of DKD, we compared forty-week-old Akita mouse kidney compounds with Nrf2-knockout or Nrf2 mildly induced (Akita::Keap1FA/FA) mice. Nrf2-knockout Akita (Akita::Nrf2-/-) mice displayed severe medullary cast formation, but the formation was ameliorated in Akita::Keap1FA/FA mice. Moreover, in Akita::Keap1FA/FA mice, tubule injury and inflammation-related gene expression were significantly suppressed, which was evident in Akita::Nrf2-/- mouse kidneys. These results demonstrate that Nrf2 contributes to the protection of the kidneys against DKD by suppressing oxidative stress and inflammation.

A novel MCF-Net: Multi-level context fusion network for 2D medical image segmentation.

Medical image segmentation is a crucial step in the clinical applications for diagnosis and analysis of some diseases. U-Net-based convolution neural networks have achieved impressive performance in medical image segmentation tasks. However, the multi-level contextual information integration capability and the feature extraction ability are often insufficient. In this paper, we present a novel multi-level context fusion network (MCF-Net) to improve the performance of U-Net on various segmentation tasks by designing three modules, hybrid attention-based residual atrous convolution (HARA) module, multi-scale feature memory (MSFM) module, and multi-receptive field fusion (MRFF) module, to fuse multi-scale contextual information. HARA module was proposed to effectively extract multi-receptive field features by combing atrous spatial pyramid pooling and attention mechanism. We further design the MSFM and MRFF modules to fuse features of different levels and effectively extract contextual information. The proposed MCF-Net was evaluated on the ISIC 2018, DRIVE, BUSI, and Kvasir-SEG datasets, which have challenging images of many sizes and widely varying anatomy. The experimental results show that MCF-Net is very competitive with other U-Net models, and it offers tremendous potential as a general-purpose deep learning model for 2D medical image segmentation.

SUMO1 Promotes Mesangial Cell Proliferation Through Inhibiting Autophagy in a Cell Model of IgA Nephropathy.

IgA nephropathy (IgAN) is a common form of primary glomerulonephritis and its main pathological changes are mesangial cell proliferation and matrix expansion. Autophagy inhibition may result in its mesangial cell proliferation and renal lesions. SUMOylation is a eukaryotic-reversible post-translational modification where SUMO is covalently attached to target proteins to regulate their properties. It is largely unclear whether SUMOylation contributes to the pathogenesis of IgAN. This study was designed to investigate the change of protein SUMO1 in mesangial cells of IgAN and its association with autophagy. We found the expression of SUMO1 was upregulated in IgAN, IgA mouse model, and aIgA1-stimulated mesangial cells. In aIgA1-stimulated mesangial cell model, we tested LC3II/I and p62, the autophagy-related proteins suggested the inhibition of autophagy. Inhibited SUMOylation with ginkgolic acid (GA) or silencing SUMO1 could downregulate SUMO1 and SUMO1-p53, promote autophagy, and lessen cell proliferation. In summary, in the mesangial cells stimulated with aIgA1, SUMO1 may contribute to its cell proliferation through inhibited autophagy, and SUMO1-p53 may play a role in this process.

Comparison of health-oriented cross-regional allocation strategies for the COVID-19 vaccine: a mathematical modelling study.

BACKGROUND: Controlling the epidemic spread and establishing the immune barrier in a short time through accurate vaccine demand prediction and optimised vaccine allocation strategy are still urgent problems to be solved under the condition of frequent virus mutations. METHODS: A cross-regional Susceptible-Exposed-Infected-Removed dynamic model was used for scenario simulation to systematically elaborate and compare the effects of different cross-regional vaccine allocation strategies on the future development of the epidemic in regions with different population sizes, prevention and control capabilities, and initial risk levels. Furthermore, the trajectory of the cross-regional vaccine allocation strategy, calculated using a particle swarm optimisation algorithm, was compared with the trajectories of other strategies. RESULTS: By visualising the final effect of the particle swarm optimisation vaccine allocation strategy, this study revealed the important role of prevention and control (including the level of social distancing control, the speed of tracking and isolating exposed and infected individuals, and the initial frequency of mask-wearing) in determining the allocation of vaccine resources. Most importantly, it supported the idea of prioritising control in regions with a large population and low initial risk level, which broke the general view that high initial risk needs to be given priority and proposed that outbreak risk should be firstly considered instead. CONCLUSIONS: This is the first study to use a particle swarm optimisation algorithm to study the cross-regional allocation of COVID-19 vaccines. These data provide a theoretical basis for countries and regions to develop more targeted and sustainable vaccination strategies.KEY MESSAGEThe innovative combination of particle swarm optimisation and cross-regional SEIR model to simulate the pandemic trajectory and predict the vaccine demand helped to speed up and stabilise the construction of the immune barrier, especially faced with new virus mutations.We proposed that priority should be given to regions where it is possible to prevent more infections rather than regions where it is at high initial risk, thus regional outbreak risk should be considered when making vaccine allocation decisions.An optimal health-oriented strategy for vaccine allocation in the COVID-19 pandemic is determined considering both pharmaceutical and non-pharmaceutical policy interventions, including speed of isolation, degree of social distancing control, and frequency of mask-wearing.

FCP-Net: A Feature-Compression-Pyramid Network Guided by Game-Theoretic Interactions for Medical Image Segmentation.

Medical image segmentation is a crucial step in diagnosis and analysis of diseases for clinical applications. Deep convolutional neural network methods such as DeepLabv3+ have successfully been applied for medical image segmentation, but multi-level features are seldom integrated seamlessly into different attention mechanisms, and few studies have fully explored the interactions between medical image segmentation and classification tasks. Herein, we propose a feature-compression-pyramid network (FCP-Net) guided by game-theoretic interactions with a hybrid loss function (HLF) for the medical image segmentation. The proposed approach consists of segmentation branch, classification branch and interaction branch. In the encoding stage, a new strategy is developed for the segmentation branch by applying three modules, e.g., embedded feature ensemble, dilated spatial mapping and channel attention (DSMCA), and branch layer fusion. These modules allow effective extraction of spatial information, efficient identification of spatial correlation among various features, and fully integration of multi-receptive field features from different branches. In the decoding stage, a DSMCA module and a multi-scale feature fusion module are used to establish multiple skip connections for enhancing fusion features. Classification and interaction branches are introduced to explore the potential benefits of the classification information task to the segmentation task. We further explore the interactions of segmentation and classification branches from a game theoretic view, and design an HLF. Based on this HLF, the segmentation, classification and interaction branches can collaboratively learn and teach each other throughout the training process, thus applying the conjoint information between the segmentation and classification tasks and improving the generalization performance. The proposed model has been evaluated using several datasets, including ISIC2017, ISIC2018, REFUGE, Kvasir-SEG, BUSI, and PH2, and the results prove its competitiveness compared with other state-of-the-art techniques.

Occupational stress, distributive justice and turnover intention among public hospital nurses in China: A cross-sectional study.

AIM: To examine the mediating role of distributive justice on the relation between occupational stress and turnover intention, and the regional role in moderating the relationship between distributive justice and turnover intention. BACKGROUND: Turnover intention is an effective indicator of job departure and has been widely studied. Identification of methods to reduce turnover intention among nurses is a focus of the new round of medical and health system reform in China and in the realization of the "Healthy China 2030" policy. However, few studies have examined the present situation of Chinese nurse's turnover intention and corresponding influencing factors. METHODS: Data were collected on-site by using questionnaires designed by anonymous researchers. A total of 718 effective questionnaires were allocated from representative public hospitals. Data were collected for the "Challenge and Hindrance-Related Self-Reported Stress Scale", "Distributive Justice Scale" and "Turnover Intention Scale". RESULTS: Challenge stress was significantly inversely correlated with turnover intention, while hindrance stress was significantly positively correlated with turnover intention. Moreover, there was a significant inverse correlation between the two types of occupational stress and distributive justice and an inverse correlation between distributive justice and turnover intention. Regional role had a moderating effect on the correlation between distributive justice and turnover intention. CONCLUSIONS: Chinese nurses' turnover intention is directly or indirectly influenced by occupational stress and distributive justice. Managers should set reasonable goals to cope with challenging stress. Proper intervention measures should be designed such as reducing barrier pressure, increasing remuneration, and promoting the matching between workload and job value to reduce the turnover intention. Finally, balancing the treatment towards nurses in different regions may help achieve relative fairness.

Comprehensive analysis of circRNA expression profiles and circRNA-associated competing endogenous RNA networks in IgA nephropathy.

BACKGROUND: Immunoglobulin A nephropathy (IgAN) is immune-mediated primary glomerulonephritis, which is the most common reason leading to renal failure worldwide. The exact pathogenesis of IgAN is not well defined. Accumulating evidence indicates that circular RNAs (circRNAs) play crucial roles in the immune disease by involving in the competing endogenous RNA (ceRNA) network mechanism. At present, the studies of the circRNA profiles and circRNA-associated ceRNA networks in the IgAN are still scarce. This study aimed to elucidate the potential roles of circRNA-associated ceRNA networks of peripheral blood mononuclear cells (PBMCs) in IgAN patients. METHOD: CircRNA sequencing was used to identify the differential expressed circRNAs (DEcircRNAs) of PBMCs in IgAN and healthy controls; limma packages from data sets GSE25590 and GSE73953 in the Gene Expression Omnibus (GEO) database, were used to identify differentially expressed micro RNAs (miRNAs) and message RNAs (mRNAs). A circRNA-miRNA-mRNA ceRNA network was constructed to further investigate the mechanisms of IgAN. Then, GO analysis and KEGG enrichment analyses were used to annotate the genes involved in the circRNA-associated ceRNA network. Further, Protein-protein interaction (PPI) networks were established to screen potential hub genes, by using Search Tool for the Retrieval of Interacting Genes/Proteins (STRING). Last, a quantitative real-time polymerase chain reaction (qRT-PCR) was applied to verify the hub genes in the ceRNA network. RESULT: A total of 145 circRNAs, 22 miRNAs, and 1,117 mRNAs were differentially expressed in IgAN compared with controls (P < 0.05). A ceRNA network was constructed which contained 16 DEcircRNAs, 72 differential expressed mRNAs (DEmRNAs) and 11 differential expressed miRNAs (DEmiRNAs). KEGG pathway enrichment analysis illustrated the underlying biological functions of the ceRNA-associated genes, such as Nitrogen compound metabolic process, COPII-coated ER to Golgi transport vesicle, CAMP response element protein binding process (P < 0.01); meanwhile, Hepatitis B, GnRH signaling, and Prion disease were the most significant enrichment GO terms (P < 0.01). PPI network based on STRING analysis identified 4 potentially hub genes. Finally, Ankyrin repeat and SOCS box containing 16 (ASB16), SEC24 homolog C, COPII coat complex component (SEC24C) were confirmed by qRT-PCR (P < 0.05) and were identified as the hub genes of the ceRNA network in our study. CONCLUSION: Our study identified a novel circRNA-mediated ceRNA regulatory network mechanisms in the pathogenesis of IgAN.

SARS-Cov-2 trajectory predictions and scenario simulations from a global perspective: a modelling study.

The coronavirus SARS-CoV-2 emerging from Wuhan, China has developed into a global epidemic. Here, we combine both human mobility and non-pharmaceutical interventions (social-distancing and suspected-cases isolation) into SEIR transmission model to understand how coronavirus transmits in a global environment. Dynamic trends of region-specific time-variant reproduction number, social-distancing rate, work-resumption rate, and suspected-cases isolation rate have been estimated and plotted for each region by fitting stochastic transmission processes to the real total confirmed cases reported of each region. We find after shutdown in Wuhan, the reproduction number in Wuhan greatly declined from 6·982 (95% CI 2·558-14·668) on January 23rd, 2020 to 1.130 (95% CI 0.289-3.279) on February 7th, 2020, and there was a higher intervention level in terms of social-distancing and suspected-cases isolation in Wuhan than the Chinese average and Western average, for the period from the shutdown in Wuhan to mid-March. Future epidemic trajectories of Western countries up to October 10th, 2020, have been predicted with 95% confidence intervals. Through the scenario simulation, we discover the benefits of earlier international travel ban and rigorous intervention strategies, and the significance of non-pharmaceutical interventions. From a global perspective, it is vital for each country to control the risks of imported cases, and execute rigorous non-pharmaceutical interventions before successful vaccination development.

Association between ambient air pollution and laryngeal neoplasms incidence in twelve major Chinese cities, 2006-2013.

Epidemiological evidence has suggested that ambient air pollution is an increasingly important risk factor for respiratory diseases without assessing its influence on laryngeal neoplasms incidence in China. We constructed two-way fixed effect models and Poisson regression models to explore the effects of ambient air pollutants including nitrogen dioxide (NO2), sulfur dioxide (SO2), and particulate matter less than or equal to 10 µm in aerodynamic diameter (PM10) on incidence of laryngeal neoplasms in twelve major cities in China over the period 2006-2013. The annual average concentration for PM10, SO2, and NO2 was 107.22 µg/m3, 44.07 µg/m3, and 46.71 µg/m3 with standard deviations of 24.84 µg/m3, 13.68 µg/m3, and 9.19 µg/m3, respectively. We observed that ambient air pollutants were significantly positively correlated with the incidence of laryngeal neoplasms, especially for NO2. The relative risks of overall incidence of laryngeal neoplasms in the current period were 1.20, 1.04, and 1.00 for NO2, SO2, and PM10, with 95% confidence intervals (CIs) of 1.01-1.43, 0.93-1.16, and 0.96-1.05, respectively. Moreover, this deleterious impact was stronger in the male than in the female, likely due to genetic predisposition caused by longer exposure to more serious air pollution for men. Our findings complement the epidemiological evidence of laryngeal neoplasms due to ambient air pollution and reinforce the necessity of policy efforts to control the noxious air pollution emissions.

The upregulation of miR-98-5p affects the glycosylation of IgA1 through cytokines in IgA nephropathy.

OBJECTIVE: Increases in galactose-deficient IgA1 (Gd-IgA1) play a crucial role in the pathogenesis of IgA nephropathy (IgAN), and several recent experiments have shown that microRNAs (miRNAs) are involved in regulating the development and physiological function of the kidney. The aims of this study were to identify miRNAs that can affect the pathogenesis of IgAN and reveal the underlying regulatory mechanism of IgA1 glycosylation in peripheral blood. METHODS: The differentially expressed miRNAs in peripheral blood mononuclear cells (PBMCs) between IgAN patients and healthy controls were screened by high-throughput sequencing, and the targets of these miRNAs were predicted and verified by dual-luciferase reporter assays. We also explored the miRNA regulation of Gd-IgA1 through the transfection of miRNA mimics and related plasmids. RESULTS: The high-throughput sequencing results showed that miR-98-5p was more highly expressed in the PBMCs of IgAN patients compared with healthy controls, and the luciferase reporter gene system confirmed that miR-98-5p might target chemokine ligand 3 (CCL3). The transfection of si-CCL3 confirmed that a decrease in CCL3 can affect the expression of interleukin-6 (IL-6) and C1GALT1. The overexpression of miR-98-5p in PBMCs through the transfection of miR-98-5p mimic reduced the CCL3 and C1GALT1 levels and increased the IL-6 levels, and these changes in PBMCs were attenuated by cotransfection with the CCL3 plasmid. CONCLUSION: The results showed that in PBMCs, miR-98-5p can target CCL3 to decrease its expression and thereby increase the IL-6 levels, and the resulting increase in IL-6 can decrease C1GALT1 expression. Therefore, miR-98-5p might be involved in the development of IgAN.

Association of Ambient Air Pollution with Nasopharyngeal Carcinoma Incidence in Ten Large Chinese Cities, 2006-2013.

Large cities in China are experiencing severe ambient air pollution. Although China accounts for more than 45% of new cases of nasopharyngeal carcinoma worldwide in 2018, few studies have examined the association between ambient air pollution and the high nasopharyngeal carcinoma (NPC) incidence in China. Thus, we aim to investigate whether exposure to ambient air pollution (including nitrogen dioxide, sulfur dioxide, and PM10) would significantly affect NPC incidence in large Chinese cities. We collected panel data of ten Chinese provincial cities about local NPC incidence, air pollution level, meteorology, and city profiles during 2006 to 2013 to construct a two-way fixed-effects model to explore the association between ambient air pollution and NPC incidence, as well as possible regional and gender differences behind the association. We found that NO2 had the strongest association with NPC incidence, and the relative risks were 2.2995 (95% CI, 1.2567-4.2075) for males and 1.3010 (95% CI, 0.8212-2.0620) for females, respectively. Under cumulative exposure, it was still NO2 that had the strongest association with NPC incidence, with a relative risk of 1.8836 (95% CI, 1.2416-2.8577), compared to 1.0857 (95% CI, 0.9474-1.2450) and 1.0547 (95% CI, 0.8790-1.2663) for SO2 and PM10, respectively. In addition, males were found more sensitive to ambient air pollution than females. We also found that southern Chinese cities were more sensitive to NO2 than northern cities, which might be related to a higher humidity there. Our study reveals that exposure to ambient air pollutants like SO2, PM10, and particularly NO2, is significantly positively associated with NPC incidence in China.

Effect of Discrimination on Presenteeism among Aging Workers in the United States: Moderated Mediation Effect of Positive and Negative Affect.

This study aimed to examine how perceived everyday discrimination influences presenteeism and how conscientiousness moderates the relationship between discrimination and positive affect among older workers. Structural equation modeling (SEM) was used to examine the mediating effect. The moderated mediation model was examined by PROCESS. The results of the final SEM model showed that discrimination was directly positively associated with presenteeism. Furthermore, positive affect was significantly inversely correlated with discrimination and presenteeism. In addition, negative affect was significantly positively correlated with discrimination and presenteeism. The significant indirect effect between perceived everyday discrimination and positive affect was significantly mediated by positive and negative affect. In addition, the results of the moderated mediation model indicate that positive affect was more likely to be influenced by perceived everyday discrimination among older workers with less conscientiousness, as compared with those with greater conscientiousness. To enhance work outcomes of aging workers in the United States, managers should foster highly conscientious aging workers, award those who are hardworking and goal-oriented, and combine personal goals and organizational goals through bonuses, holidays, and benefits. Policymakers should be mindful of the negative impact of discrimination on presenteeism and should target lowly conscientious older workers.

Dihydroartemisinin inhibits the proliferation of IgAN mesangial cells through the mTOR signaling pathway.

IgA nephropathy (IgAN) is an autoimmune kidney disease and is the most prevalent form of glomerular kidney disease in China and worldwide. IgA immune complex deposition accompanied by mesangial cell proliferation and mesangial matrix expansion is the most basic pathological feature of IgAN. Dihydroartemisinin (DHA), an antimalarial drug, was recently reported to be effective in treating autoimmune diseases. However, its potential therapeutic role in IgAN is relatively unstudied. The aim of this study was to investigate the pharmacological effects and the underlying mechanisms of DHA in the treatment of IgAN. In this study, renal biopsy specimens were collected for immunohistochemistry. In vitro, 25 µg/ml concentrations of aggregated IgA1 (aIgA1) was used to construct the IgAN mesangial cell model. Stimulated human mesangial cells (HMCs) were treated for 24 h with DHA (0-15 µM) and were collected for western blot analyses. Cell proliferation was assessed by Cell Counting Kit 8 (CCK8) and 3-(4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2-H-tetrazolium bromide (MTT) assay. In vitro, our results showed that DHA could downregulate the mammalian target of rapamycin/ribosomal protein S6 kinase beta-1 (mTOR/S6K1) signaling pathway, promote cell autophagy, and ameliorate cell proliferation in aIgA1-induced HMCs. The results suggested that DHA may represent a novel class of mTOR inhibitor and promote an anti-proliferation effect in IgAN HMCs, which provides an alternative approach for IgAN treatment.

Association analysis of DNA methyltransferases in IgA nephropathy.

DNA methylation, especially DNA methyltransferases (DNMTs), is involved in the pathogenesis of many autoimmune diseases through regulating immune function. This study aimed to explore the potential role of DNMTs in IgA nephropathy (IgAN). We evaluated mRNA expressions of DNMT1, DNMT3A, DNMT3B along with ß1,3-galactosyltransferase (C1GALT1) in peripheral blood mononuclear cells (PBMCs), and measured galactose-deficient IgA1 (Gd-IgA1) levels in plasma. The expression intensity of DNMT1 and DNMT3B in the renal specimen of IgAN patients were also detected. Results showed DNMT3B, not DNMT1 or DNMT3A, was notably increased in IgAN patients compared to controls and associated with pathologic types. However, DNMT1 and C1GALT1 were found positively correlated with estimated glomerular filtration rate (eGFR) and negatively correlated with 24 h Urine protein in IgAN patients. No association was found between DNMT1 and Gd-IgA1. The expressions of DNMT3B and DNMT1 were barely observed in IgAN renal biopsy specimens. In conclusion, for the first time, we identified the relations of DNMTs and C1GALT1 to the clinical state and pathology of IgAN patients, which provide new clues for IgAN.

Initiation Condition of Hemodialysis Is Independently Associated with All-Cause Mortality in Maintenance Hemodialysis Patients: A Retrospective Study.

BACKGROUND: Despite the progression of dialysis techniques,  the mortality of hemodialysis (HD) patients is still high in China. Here, a retrospective study was performed to investigate the neglected risk factors of all-cause mortality during maintenance HD (MHD). METHODS: We investigated 117 MHD patients who died between 2011 and 2016 in the Second Xiangya Hospital of Central South University HD center. In order to analyze the risk factors of 48 months all-cause death, the methods of Kaplan-Meier and Cox regression were used. RESULTS: Multivariate analyses of adjusted age and gender showed that MHD patients with estimated glomerular filtration rate <7 or >10 mL/min/1.73 m2 and anemia (hemoglobin <100 g/L) at the initiation of dialysis are independently associated with the higher death risk. Using central venous catheter vascular access, cerebrovascular comorbidities, diabetes, low-flux dialyzer, and dialysis frequency ≤2 times weekly were also the independent risk factors of death within 48 months. CONCLUSIONS: This study indicated that the status of HD initiation is a risk factor of long-term survival in MHD patients, which were usually ignored for lacking of nephrology care prior and could potentially be identified and modified to improve the survival prognosis. Video Journal Club "Cappuccino with Claudio Ronco" at  https://www.karger.com/Journal/ArticleNews/223997?sponsor=52.

Serum immunoglobulin G provides early risk prediction in immunoglobulin A nephropathy.

BACKGROUND: Immunoglobulin A (IgA) nephropathy (IgAN) is a common primary glomerular disease that potentially leads to renal failure, risk prediction of declining kidney function is crucial for early clinical management. Immunoglobulin G (IgG) is an important constituent of the immune system and serves as the preferred therapeutic target in human autoimmune diseases. However, its role in the progression of IgAN is unclear. METHODS: From May 2009 to April 2014, 455 patients diagnosed with IgAN at the Second Xiangya Hospital were enrolled in this study; the median follow-up was 42.2 months. All subjects were divided into four groups according to IgG level quartiles. The study endpoint was end-stage renal disease (ESRD) or an irreversible 50% estimated glomerular filtration rate (eGFR) reduction. Clinical data and pathological features of renal biopsy specimens were collected. RESULTS: Among IgAN patients, serum IgG levels were directly correlated with the levels of serum albumin and serum IgA but reversely correlated with body weight, systolic blood pressure, and serum creatinine and cholesterol levels. According to stratified analysis of serum IgG, the proportions of composite renal endpoints among the enrolled IgAN patients in the serum IgG concentration subgroups 1 (<7.86), 2 (7.86-10.30), 3 (10.31-12.70), and 4 (>12.71 g/l) were 9.6%, 9.2%, 3.7%, and 3.7% respectively. Importantly, cumulative renal survival rates were significantly higher in the patients with increased serum IgG (p = 0.0114). Serum IgG was also predictive of renal survival, with an HR of 0.745 (95% CI, 0.614 to 0.905, p = 0.003) after adjusting for significant factors in the univariate Cox regression and an HR of 0.871 (95% CI, 0.780 to 0.973, p = 0.014) adjusting for traditional risk factors of IgAN. CONCLUSION: These findings demonstrate that a decreased serum IgG level at the time of renal biopsy is independently associated with a poor renal outcome in IgAN patients.

Effect of Work Environment on Presenteeism among Aging American Workers: The Moderated Mediating Effect of Sense of Control.

With the rapid increase of aging workforces, companies worldwide are concerned with improving the health and working status of older workers. Sense of control is an important psychological variable in sociology but has attracted less attention in studies of occupational health and management. This study examined the association of sense of control with presenteeism among aging workers in the United States. Data from the Health and Retirement Survey were analyzed, specifically, 2308 observations in 2012. Structural equation modeling was used to assess work environment, sense of control (measured in relation to personal mastery and perceived constraints), and associations with presenteeism. The moderating effect of subjective social status on the association between sense of control and presenteeism was examined with a moderated mediation model. In the final structural equation modeling model, work environment was directly inversely associated with presenteeism, and work environment was significantly inversely associated with perceived constraints. There was a direct positive association between work environment and personal mastery, a direct positive association between perceived constraints and presenteeism, and a significant inverse association between personal mastery and presenteeism. The significant indirect effects between work environment and presenteeism were significantly mediated by sense of control. Subjective social status inversely moderated the relation between presenteeism and perceived mastery, a dimension of sense of control. To increase the performance of aging workers in the United States, managers should create a work environment that facilitates access to job resources, as this might improve personal sense of control, particularly among those with high subjective social status.

Prediction of ESRD in IgA Nephropathy Patients from an Asian Cohort: A Random Forest Model.

BACKGROUND/AIMS: There is an increasing risk of end-stage renal disease (ESRD) among Asian people with immunoglobulin A nephropathy (IgAN). A computer-aided system for ESRD prediction in Asian IgAN patients has not been well studied. METHODS: We retrospectively reviewed biopsy-proven IgAN patients treated at the Department of Nephrology of the Second Xiangya Hospital from January 2009 to November 2013. Demographic and clinicopathological data were obtained within 1 month of renal biopsy. A random forest (RF) model was employed to predict the ESRD status in IgAN patients. All cases were initially trained and validated, taking advantage of the out-of-bagging(OOB) error. Predictors used in the model were selected according to the Gini impurity index in the RF model and verified by logistic regression analysis. The area under the receiver operating characteristic(ROC) curve (AUC) and F-measure were used to evaluate the RF model. RESULTS: A total of 262 IgAN patients were enrolled in this study with a median follow-up time of 4.66 years. The importance rankings of predictors of ESRD in the RF model were first obtained, indicating some of the most important predictors. Logistic regression also showed that these factors were statistically associated with ESRD status. We first trained an initial RF model using gender, age, hypertension, serum creatinine, 24-hour proteinuria and histological grading suggested by the Clinical Decision Support System for IgAN (CDSS, www.IgAN.net). This 6-predictor model achieved a F-measure of 0.8 and an AUC of 92.57%. By adding Oxford-MEST scores, this model outperformed the initial model with an improved AUC (96.1%) and F-measure (0.823). When C3 staining was incorporated, the AUC was 97.29% and F-measure increased to 0.83. Adding the estimated glomerular filtration rate (eGFR) improved the AUC to 95.45%. We also observed improved performance of the model with additional inputs of blood urea nitrogen (BUN), uric acid, hemoglobin and albumin. CONCLUSION: In addition to the predictors in the CDSS, Oxford-MEST scores, C3 staining and eGFR conveyed additional information for ESRD prediction in Chinese IgAN patients using a RF model.

Will Green CSR Enhance Innovation? A Perspective of Public Visibility and Firm Transparency.

In response to the asking and requiring of stakeholders to be more environmentally responsible, firms must commit to green corporate social responsibility (CSR). Firms being green and responsible always can acquire intangible resources that are important for firm innovation. Given the scarcity of existing research addressing relevant issues in depth, this paper expands our understanding of green CSR by revealing its antecedent effects on firm innovation performance. We also include public visibility and firm transparency as contingency factors to explore the relationship between green CSR and firm innovation performance. Using data collected from publicly listed firms in China, we find that greater innovation performance is associated with an increase in firm green CSR, and the positive relationship between green CSR and innovation performance is moderated by public visibility and firm transparency. Based on the results, theoretical contributions and practical implications are outlined.