Variant Impact Predictor database (VIPdb), version 2: Trends from 25 years of genetic variant impact predictors.

Background: Variant interpretation is essential for identifying patients' disease-causing genetic variants amongst the millions detected in their genomes. Hundreds of Variant Impact Predictors (VIPs), also known as Variant Effect Predictors (VEPs), have been developed for this purpose, with a variety of methodologies and goals. To facilitate the exploration of available VIP options, we have created the Variant Impact Predictor database (VIPdb). Results: The Variant Impact Predictor database (VIPdb) version 2 presents a collection of VIPs developed over the past 25 years, summarizing their characteristics, ClinGen calibrated scores, CAGI assessment results, publication details, access information, and citation patterns. We previously summarized 217 VIPs and their features in VIPdb in 2019. Building upon this foundation, we identified and categorized an additional 186 VIPs, resulting in a total of 403 VIPs in VIPdb version 2. The majority of the VIPs have the capacity to predict the impacts of single nucleotide variants and nonsynonymous variants. More VIPs tailored to predict the impacts of insertions and deletions have been developed since the 2010s. In contrast, relatively few VIPs are dedicated to the prediction of splicing, structural, synonymous, and regulatory variants. The increasing rate of citations to VIPs reflects the ongoing growth in their use, and the evolving trends in citations reveal development in the field and individual methods. Conclusions: VIPdb version 2 summarizes 403 VIPs and their features, potentially facilitating VIP exploration for various variant interpretation applications. Availability: VIPdb version 2 is available at https://genomeinterpretation.org/vipdb.

Climate and Wolbachia Impacts on Anoplolepis gracilipes (Hymenoptera: Formicidae).

The yellow crazy ant (Anoplolepis gracilipes (Smith, 1857)) is a prominent invasive species exhibiting variable population dynamics. Through collecting long-term climate data and validating field surveys with MaxEnt SDM projections, our results indicated that winter temperature and precipitation accumulation strongly influence the population dynamics. An aggression analysis showed that A. gracilipes nests with higher aggression levels (over 2.5 scores) experienced a higher mean maximum temperature (31.84 ± 0.43 °C) and lower prevalence of wAgra (84.8 ± 4.70%) in A. gracilipes from June to October. The nest manipulation and aggression experiments confirmed that temperature increases aggression (1.3 to 2.8 scores) among A. gracilipes workers due to the reduced prevalence of wAgra. To the best of our knowledge, this is the first case of a notable reduction in the prevalence of Wolbachia (100 to 66%) within a colony of A. gracilipes while maintaining stable nests for further experiments.

Cancer risks in a population-based study of agricultural workers: results from the Taiwan's Farmers and Health Cohort study.

OBJECTIVE: The purpose of this study was to assess cancer risk among agricultural workers compared to the general population. METHODS: The study utilized data from Farmers' Health Insurance (FHI) in Taiwan, which enrolled agricultural workers (N=1 175 149). The enrolled workers were matched to a general population (N=1 175 149) of the same age, gender, township, and enrollment year. The study population was linked to the National Cancer Registry to identify new cancer cases between 2000 and 2018. The Cox proportional hazards model was used to estimate the hazard ratio and 95% confidence interval for outcomes. RESULTS: During the study period, 136 913 new cancers among agricultural workers were identified. The study found that male farmers had an increased cancer risk, including lymphocytic leukemia, chronic myelogenous leukemia, non-Hodgkin's lymphoma (NHL), oral cancer, lip cancer, esophagus cancer, rectum and rectosigmoid junction cancer, liver and intrahepatic bile duct cancer, lung cancer, trachea and bronchi cancer, and other non-melanoma skin cancer, even when considering the latency period. Female farmers had an elevated risk of multiple myeloma and other non-melanoma skin cancer. Moreover, only lymphoma, NHL, other lymphoid, and multiple myeloma, were both found to occur at different insurance periods. CONCLUSIONS: This study provides farmer cancer patterns and risk, adding to the evidence that farmers are at increased risk of certain types of cancer, especially for hematological cancers. As exposure varies by farm operation type, individual farmer exposure may vary widely. Further understanding of the complex relationship between occupational exposure, environmental factors, and lifestyle factors is needed.

Early detection of myocardial ischemia in resting ECG: analysis by HHT.

BACKGROUND: Exercise electrocardiography (ECG) is a noninvasive test aiming at producing ischemic changes. However, resting ECG cannot be adopted in diagnosing myocardial ischemia till ST-segment depressions. Therefore, this study aimed to detect myocardial energy defects in resting ECG using the Hilbert-Huang transformation (HHT) in patients with angina pectoris. METHODS: Electrocardiographic recordings of positive exercise ECG by performing coronary imaging test (n = 26) and negative exercise ECG (n = 47) were collected. Based on the coronary stenoses severity, patients were divided into three categories: normal, < 50%, and ≥ 50%. During the resting phase of the exercise ECG, all 10-s ECG signals are decomposed by HHT. The RT intensity index, composed of the power spectral density of the P, QRS, and T components, is used to estimate the myocardial energy defect. RESULTS: After analyzing the resting ECG using HHT, the RT intensity index was significantly higher in patients with positive exercise ECG (27.96%) than in those with negative exercise ECG (22.30%) (p < 0.001). In patients with positive exercise ECG, the RT intensity index was gradually increasing with the severity of coronary stenoses: 25.25% (normal, n = 4), 27.14% (stenoses < 50%, n = 14), and 30.75% (stenoses ≥ 50%, n = 8). The RT intensity index of different coronary stenoses was significantly higher in patients with negative exercise ECG, except for the normal coronary imaging test. CONCLUSIONS: Patients with coronary stenoses had a higher RT index at the resting stage of exercise ECG. Resting ECG analyzed using HHT could be a method for the early detection of myocardial ischemia.

Cerebrospinal fluid soluble programmed death-ligand 1 is a useful prognostic biomarker in primary central nervous system lymphoma.

The increased expression of programmed death-ligands 1 and 2 (PD-L1 and PD-L2, respectively) on tumour cells contributes to immune evasion, suggesting that these proteins are attractive therapeutic targets. This study aimed to evaluate the validity of cerebrospinal fluid (CSF) soluble PD-L1 (sPD-L1) and soluble PD-L2 (sPD-L2) as biomarkers for primary central nervous system lymphoma (PCNSL). We determined the CSF concentrations of sPD-L1 and sPD-L2 in 46 patients with PCNSL using enzyme-linked immunosorbent assays (ELISAs). A control group comprised 153 patients with other brain tumours, inflammatory/infectious status, or neurodegenerative diseases. Only CSF sPD-L1 levels were significantly higher in patients with PCNSL relative to the controls. CSF sPD-L1 also exhibited superior overall discrimination performance compared to CSF sPD-L2 in diagnosing PCNSL. Compared with patients with PCNSL with low CSF sPD-L1 levels, more patients with high levels had high serum lactate dehydrogenase levels, leptomeningeal involvement, and deep-brain involvement. Furthermore, CSF sPD-L1 could predict poor survival in PCNSL but CSF sPD-L2 could not. Intriguingly, CSF sPD-L1 levels were correlated with disease status and their dynamic changes post treatment could predict time to relapse. In conclusion, this study identified CSF sPD-L1 as a promising prognostic biomarker, indicating a therapeutic potential of PD-L1 blockade in PCNSL.

Occupational health surveillance and detection of emerging occupational diseases among Taiwan farmers, through analysis of national-based farmers' and medico-administrative databases.

OBJECTIVES: The purpose of this study was to identify occupational injuries and diseases associated with agriculture in Asia, to provide a reference for prevention and hypotheses for future research. METHODS: We matched data on agricultural workers (n = 963,124) enrolled in Taiwan's national Farmers Health Insurance since its inception in 1989, to general population controls of the same age, gender, and township. The study population was linked to the National Health Insurance Research Database from 2001 to 2016 for inpatient cases. Logistic regression was used to assess odds ratios for outcomes. RESULTS: Farmers had 2.76 times the risk of mycotic corneal ulcer (95% CI: 1.96-3.87) and 1.65 times the risk of typhus fever infections (95% CI: 1.47-1.85) compared to the general population. The odds ratio for poisonous animal bites was 2.22 (95% CI: 2.07-2.38), for falling into a storm drain or manhole was 2.04 (95% CI: 1.30-3.20), and for toxic effects from pesticides was 2.01 (95% CI: 1.92-2.11). The toxic effects of organophosphate and carbamate insecticides were correlated with the cultivation of rice, fruit trees, and flowers. Q fever and motorcycle accidents were associated with fruit tree cultivation. CONCLUSIONS: The study identifies agricultural occupational injuries and diseases that may inform occupational health policy and the development of prevention priorities to prevent occupational hazards for farmers.

The association of job fatigue with mental disorders among bus drivers.

OBJECTIVE: Mental disorders are a global problem with growing importance. However, the contribution of work factors to the development of mental disorders is inconclusive. This study aimed to assess the impact of fatigue and job stress on mental disorders in a prospective cohort of bus drivers. METHODS: The Taiwan Bus Driver Cohort Study (TBDCS) recruited 1652 bus drivers from a bus company in 2005. Participants self-completed a structured questionnaire in 2007, which included the Demand-Control-Support (DCS) model questions and the Swedish Occupational Fatigue Inventory-Chinese (SOFI-C). Psychiatric care visits and admissions were obtained from the National Health Insurance Research Dataset (NHIRD) from 2003 to 2016 for as a proxy for psychiatric diagnoses. Drivers with a history of psychiatric disorders before the questionnaire survey time were excluded (N=69). During the follow-up period, a new diagnosis with a psychiatric disorder was defined as an event. Cox proportional hazards model was used to estimate the hazard ratio (HR) for new one-set psychiatric disorders, adjusting for age, body mass index, marital status, education, alcohol consumption, smoking, exercise, bus driving experience, shift work, and chronic diseases. RESULTS: Among the 896 bus drivers retained for analysis, 85 were newly diagnosed with a psychiatric disorders. DCS score was not associated with the risk of developing a psychiatric disorders, but bus drivers with high SOFI-C scores (≥5) had an elevated risk for anxiety or mood disorders (HR 3.35, 95% confidence interval 1.23-9.09). CONCLUSIONS: Among bus drivers, occupational fatigue, as indicated by high a SOFI-C score, might result in an elevated risk of anxiety or mood disorders. Health service organizations should provide recommendations and guidance for drivers with high fatigue levels to avoid anxiety or mood disorders.

Unraveling the relationship between serum 25­hydroxyvitamin D levels and trabecular bone score in American adults.

INTRODUCTION: Trabecular bone score (TBS) is a novel way for clinicians to evaluate bone quality. It is directly associated with the mechanical strength of bones and helps predict fractures. Vitamin D, a secosteroid that enhances calcium absorption, is commonly used to strengthen the skeletal system. OBJECTIVES: The present analysis aimed to determine the relationship between vitamin D levels and TBS by analyzing data from the National Health and Nutrition Examination Survey. PATIENTS AND METHODS: A total of 4464 persons (2148 men and 2316 women) were included in our study. The participants were analyzed according to sex, obesity status, and T­score using regression models. RESULTS: We noted a remarkably positive relationship between serum levels of 25­hydroxyvitamin D (25[OH]D) and TBS after the results were fully adjusted (ß = 0.319; 95% CI, 0.145-0.494; P <0.001). T­score analysis showed that serum 25(OH)D levels were related to TBS in the group of participants with normal bone mineral density (T­score >-1) (ß = 0.311; 95% CI, 0.097-0.525; P = 0.005). However, in the osteopenia (T­score between -1 and -2.5) and osteoporosis (T­score <-2.5) group there was no such association (P >0.05). CONCLUSIONS: Our study shows that low serum levels of 25(OH)D may decrease the TBS, which represents the skeletal microarchitecture and is a fracture risk factor in individuals with normal T­scores.

The Association between Human Epididymis Secretory Protein 4 and Metabolic Syndrome.

Individuals with metabolic syndrome (MetS) are known to have an increased risk of carcinogenesis. Human epididymis protein 4 (HE4) is a tumor marker and prognostic factor for epithelial ovarian carcinoma (EOC) patients. However, no studies have evaluated the association between MetS and HE4 levels. This study aimed to evaluate the relationship between HE4 levels and MetS in the National Health and Nutrition Examination Survey (NHANES 2001−2002). This cross-sectional analysis assessed all five components of MetS and HE4 levels in 2104 females (age ≥20 years) from the NHANES dataset. MetS was defined according to the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATPIII) criteria. The analysis indicated MetS in 593 individuals, and the ß coefficient of their HE4 levels was 0.097 (95% CIs, 0.028−0.166, p = 0.006). Specifically, the ß coefficients of the HE4 levels of participants with 1, 2, 3, and ≥4 features of MetS were 0.072 (95% confidence interval (CI): −0.015−0.159), 0.125 (95% CI: 0.030−0.220), 0.161 (95% CI: 0.053−0.270), and 0.242 (95% CI: 0.117−0.368), respectively, and all p values were <0.001. The p-value for the trend was <0.001. There was a significant association between the presence of MetS and HE4 levels. There were positive relationships between HE4 levels and an increased number of MetS components (with 1, 2, 3, and ≥4 features of MetS, all p values <0.001). Among the MetS components, low high-density lipoprotein levels and high triglyceride levels were independently associated with HE4 levels.

Poloxamer-188 Adjuvant Efficiently Maintains Adaptive Immunity of SARS-CoV-2 RBD Subunit Vaccination through Repressing p38MAPK Signaling.

Poloxamer-188 (P188) is a nonionic triblock linear copolymer that can be used as a pharmaceutical excipient because of its amphiphilic nature. This study investigated whether P188 can act as an adjuvant to improve the immunogenicity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) receptor binding domain (RBD) subunit vaccine. BALB/c mice were vaccinated twice with the RBD antigen alone or in combination with P188 or MF59 (a commercial adjuvant for comparison purposes). The resulting humoral and cellular immunity were assessed. Results showed that P188 helped elicit higher neutralizing activity than MF59 after vaccination. P188 induced significant humoral immune response, along with type 1 T helper (Th1) and type 2 T helper (Th2) cellular immune response when compared with MF59 due to repressing p38MAPK phosphorylation. Furthermore, P188 did not result in adverse effects such as fibrosis of liver or kidney after vaccination. In conclusion, P188 is a novel adjuvant that may be used for safe and effective immune enhancement of the SARS-CoV-2 RBD antigen.

Hepatitis B surface antigen positivity is associated with progression of disease within 24 months in follicular lymphoma.

PURPOSE: Studies have reported a positive association between hepatitis B surface antigen (HBsAg)-positive hepatitis B virus (HBV) infection and follicular lymphoma (FL). Nevertheless, clinical information concerning chronic HBV infection in FL is sparse. METHODS: This retrospective cohort study investigated the prognostic impact of HBsAg in immunocompetent patients with FL treated with frontline rituximab-containing chemoimmunotherapy in an HBV-endemic area between 2006 and 2016. RESULTS: Among the 149 analyzed patients, 32 (21.5%) were HBsAg-positive. HBsAg positivity was positively associated with symptomatic splenomegaly, significant serous effusions, and peritreatment hepatic dysfunction. HBsAg-positive patients had a trend of lower complete remission rate (59.4% vs. 76.9%, P = 0.07), significantly poorer overall survival (hazard ratio for death, 2.68; 95% confidence interval, 1.21-5.92), and shorter progression-free survival than had HBsAg-negative patients. Multivariate analysis revealed that HBsAg is an independent adverse prognostic factor for overall survival. Intriguingly, HBsAg-positive patients had a higher incidence of progression of disease within 24 months (POD24) than had HBsAg-negative patients (cumulative incidence rate, 25.8% vs. 12.4%, P = 0.045). CONCLUSION: This study revealed that patients with FL and chronic HBV infection represent a distinct subgroup with a markedly poor prognosis. HBsAg was positively associated with POD24 and might serve as a new prognostic predictor of the survival of FL patients in endemic regions for HBV infection.

Prediction of hospitalization using artificial intelligence for urgent patients in the emergency department.

Timely assessment to accurately prioritize patients is crucial for emergency department (ED) management. Urgent (i.e., level-3, on a 5-level emergency severity index system) patients have become a challenge since under-triage and over-triage often occur. This study was aimed to develop a computational model by artificial intelligence (AI) methodologies to accurately predict urgent patient outcomes using data that are readily available in most ED triage systems. We retrospectively collected data from the ED of a tertiary teaching hospital between January 1, 2015 and December 31, 2019. Eleven variables were used for data analysis and prediction model building, including 1 response, 2 demographic, and 8 clinical variables. A model to predict hospital admission was developed using neural networks and machine learning methodologies. A total of 282,971 samples of urgent (level-3) visits were included in the analysis. Our model achieved a validation area under the curve (AUC) of 0.8004 (95% CI 0.7963-0.8045). The optimal cutoff value identified by Youden's index for determining hospital admission was 0.5517. Using this cutoff value, the sensitivity was 0.6721 (95% CI 0.6624-0.6818), and the specificity was 0.7814 (95% CI 0.7777-0.7851), with a positive predictive value of 0.3660 (95% CI 0.3586-0.3733) and a negative predictive value of 0.9270 (95% CI 0.9244-0.9295). Subgroup analysis revealed that this model performed better in the nontraumatic adult subgroup and achieved a validation AUC of 0.8166 (95% CI 0.8199-0.8212). Our AI model accurately assessed the need for hospitalization for urgent patients, which constituted nearly 70% of ED visits. This model demonstrates the potential for streamlining ED operations using a very limited number of variables that are readily available in most ED triage systems. Subgroup analysis is an important topic for future investigation.

Low urine pH is a risk factor for low muscle mass: A new way to predict sarcopenia.

AIMS: Sarcopenia, one of the primary diseases of the older adult population, is a condition characterized by loss of skeletal muscle mass, strength and functionality. Due to its considerable economic impact, preventive interventions for sarcopenia play an important role in the older adult population. Urine includes many indicators of physiology and pathophysiology. Urine analysis is used to diagnose many different diseases. The goal of this cohort study was to examine the relationship between urine pH level and skeletal muscle mass. METHODS: This community-based cross-sectional study was carried out among 9712 Taiwanese individuals (4992 men and 4720 women). We used urine pH as an independent variable and skeletal muscle mass as a dependent variable. Bioelectric impedance analysis was used to measure the percentage of skeletal muscle mass (PSMM). We collected first fasting morning urine samples after overnight fasting, and urine pH was measured with a dipstick. In the by-sex and by-obesity analyses, we stratified the sample into two subgroups and a linear regression model was used for covariate adjustment. RESULTS: In the fully adjusted model, all-subject analysis showed a statistically significant association between urine pH and the PSMM with a ß coefficient of 0.820 (95% CI 0.615-1.025; P < 0.001). Additionally, by-sex analysis showed that urine pH was related to the PSMM in both sexes, with ß coefficients of 0.261 (95% CI 0.006-0.516; P = 0.045) in men and 0.179 (95% CI 0.029-0.328; P = 0.019) in women. By-obesity status analysis showed that urine pH was related to the PSMM in the body mass index <27 group with a ß coefficient of 0.284 (95% CI 0.101-0.466; P = 0.002) after full adjustment. However, for the body mass index ≥27 group, there was no significant relationship between urine pH and the PSMM (P > 0.05). CONCLUSION: The results showed the impacts of urine pH levels on skeletal muscle mass in both sexes and non-obese populations. Due to its easily accessible and economical characteristics, urine analysis is a convenient way to approach patients with low skeletal muscle mass and predict sarcopenia. Geriatr Gerontol Int 2021; 21: 944-949.

Relationship between peripheral neuropathy and cognitive performance in the elderly population.

ABSTRACT: There are only a few studies that have shown an association of peripheral neuropathy with cognitive impairment in elderly individuals. Therefore, we investigated the relationship between cognitive performance and peripheral neuropathy.From the database of the National Health and Nutrition Examination Survey (NHANES, 1999-2002), each participant completed a household interview, physical performance test, questionnaire regarding personal health, and Digit Symbol Substitution Test (DSST) to evaluate cognitive performance. The severity of peripheral neuropathy was assessed based on the number of insensate areas in both feet during monofilament examination. We used the multivariate linear regression to analyze the association of the DSST findings with insensate areas of the worse foot.There were 828 participants in our study from NHANES 1999 to 2002; their mean age was 69.96 ±â€Š7.38 years, and 51.3% were male. The ß coefficients of the number of insensate areas associated with the DSST findings were all negative values, and the absolute value increased as the number of insensate areas increased. After adjustment for pertinent variables, the correlations remained significantly negative (all P for trend <.001). In addition, subgroup analysis showed no gender differences in the negative association, but this association was not significant in obese participants (P > .05).Our study provides evidence that the severity of peripheral neuropathy is significantly negatively correlated with cognitive performance.

Preoperative 2-[18F]FDG PET-CT aids in the prognostic stratification for patients with primary ampullary carcinoma.

OBJECTIVES: We sought to investigate whether preoperative dual-phase 2-[18F]FDG PET-CT identify predictors for poor survival in patients with ampullary carcinoma receiving pancreaticoduodenectomy. METHODS: The preoperative PET-CT images of patients with resected ampullary carcinoma from June 2007 to July 2017 were analyzed. Survival curves were analyzed using the Kaplan-Meier method and compared with the log-rank test. Cox proportional hazard model was used to identify potential prognostic factors associated with disease-free survival (DFS) and overall survival (OS). RESULTS: Fifty-four subjects (26 men, 28 women) were enrolled with a median tumor size of 20 mm. All patients were followed for a median period of 36.9 months with 3- and 5-year DFS of 50.3% and 44.2%, and OS of 77.0% and 68.2%, respectively. Parameters associated with DFS in multivariate analysis were lymphovascular invasion (hazard ratio [HR]: 9.45, p < 0.001), involved margin in pathology (HR: 7.67, p < 0.001), and tumor retention index (RI) from the dual-phase PET (HR: 2.41, p = 0.03), whereas involved margin (HR: 13.14, p < 0.001), post-recurrence chemotherapy (HR: 0.10, p < 0.001), and metabolic tumor volume (MTV) (HR: 4.62, p = 0.009) emerged as independent prognostic factors for OS. CONCLUSIONS: Preoperative 2-[18F]FDG PET-CT offered independent prognostic biomarkers in patients with ampullary carcinoma receiving standard surgical resection. KEY POINTS: • 2-[18F]FDG PET-CT offers good survival prediction before operation in primary malignant neoplasms at ampulla of Vater. • Dual-phase PET scan with bowel distention can better delineate Ampulla of Vater and characterize tumor physiology. • Preoperative risk stratification might aid in better treatment planning.

Sensitive and Specific Cadmium Biosensor Developed by Reconfiguring Metal Transport and Leveraging Natural Gene Repositories.

Whole-cell biosensors are useful for monitoring heavy metal toxicity in public health and ecosystems, but their development has been hindered by intrinsic trade-offs between sensitivity and specificity. Here, we demonstrated an effective engineering solution by building a sensitive, specific, and high-response biosensor for carcinogenic cadmium ions. We genetically programmed the metal transport system of Escherichia coli to enrich intracellular cadmium ions and deprive interfering metal species. We then selected 16 cadmium-sensing transcription factors from the GenBank database and tested their reactivity to 14 metal ions in the engineered E. coli using the expression of the green fluorescent protein as the readout. The resulting cadmium biosensor was highly specific and showed a detection limit of 3 nM, a linear increase in fluorescent intensities from 0 to 200 nM, and a maximal 777-fold signal change. Using this whole-cell biosensor, a smartphone, and low-tech equipment, we developed a simple assay capable of measuring cadmium ions at the same concentration range in irrigation water and human urine. This method is user-friendly and cost-effective, making it affordable to screen large amounts of samples for cadmium toxicity in agriculture and medicine. Moreover, our work highlights natural gene repositories as a treasure chest for bioengineering.

Aqueous Palladium-Catalyzed Direct Arylation Polymerization of 2-Bromothiophene Derivatives.

Aqueous palladium-catalyzed direct arylation polymerization (DArP) of 2-bromothiophene derivatives 6-(2-(2-bromothiophen-3-yl)ethoxy)hexyl trimethylammonium bromide (T1) and 4-(2-(2-bromothien-3-yl)ethoxy)butylsulfonate (T2) is achieved. The supporting ligand, triphenylphosphine-3,3',3''-trisulfonic acid trisodium salt (m-TPPTs), facilitates DArP of both derivatives; however, its separation from the polymers by dialysis is difficult due to its strong aggregation in water and N,N-dimethylacetamide (DMAc). This is supported by dynamic light scattering, gel permeation chromatography (GPC), and single-crystal X-ray crystallography. Pyrimidine-Pd(OAc)2 is utilized in the DArP of T1 to afford PT1 without ligand contamination. Density functional theory calculations to determine the coordinating capability of the carboxylate/pivalic acid/water to palladium indicate the viability of implementing DArP in water. Finally, polyelectrolyte molecular-weight overestimation by GPC in water is attributed to the polyelectrolyte effect. Aggregation of the conjugated polyelectrolytes leads to a contracted hydrodynamic volume, and the molecular weight and dispersity assessed by GPC in DMAc significantly deviate from the actual values. An objective approach to evaluate the molecular weight for conjugated polyelectrolytes requires further development.

The effect of spatial resolution on the reproducibility of diffusion imaging when controlled signal to noise ratio.

BACKGROUND: The purpose of the study is to evaluate the reproducibility and repeatability of the compartmental diffusion measurement. METHODS: Two identical whipping cream phantoms and two healthy Sprague-Dawley rats were scanned on a 7T MR scanner, each repeated for three times. Diffusion weighted images were acquired along 30 non-collinear gradient directions, each with four b-values of 750, 1500, 2250 and 3000 s/mm2. Slice thickness and field of view were used to create different combinations of voxel sizes, varied between 1.210 and 2.366 mm3 in phantom and 0.200-0.303 mm3 in rat brains. Multiple averages were used to achieve a controlled signal to noise ratio. RESULTS: Diffusion imaging showed good stability throughout the range of voxel sizes acquired from either the cream phantom or the rat, when the signal to noise ratio is controlled. The reproducibility analysis showed the within-subject coefficient of variation varied between 0.88% and 6.99% for phantom and 0.69%-6.19% for rat. Diffusion imaging is stable among different voxel sizes in 3 aspects: A. from both compartments in phantom and in the rat; B. in measurement of diffusivity and kurtosis and C. along axial, radial and averaged in all directions. CONCLUSION: Diffusion imaging in a heterogeneous but isotropic phantom and in vivo is consistent within the range of spatial resolution in preclinical use and when the signal to noise ratio is fixed. The result is reproducible for repeated measurements.

Professional Driver's Job Stress and 8-year Risk of Cardiovascular Disease: The Taiwan Bus Driver Cohort Study.

BACKGROUND: Two main job stress models-the Demand-Control-Support (DC) model and the Effort-Reward Imbalance (ERI) model have been used to assess the impact of psychosocial work-related factors for cardiovascular disease (CVD). Limited evidence elaborates the independent and combined effects on CVD events, especially for professional drivers. This study assesses the independent and combined effects of DC and ERI models on an 8-year risk of CVD among professional drivers. METHODS: The Taiwan Bus Driver Cohort Study recruited 1650 professional drivers from a large bus company in 2005. The subjects were interviewed in person and completed the two job stress questionnaires. Researchers found 94 new cases of CVD (International Classification of Diseases, Ninth Revision, Clinical Modification [ICD-9-CM]: 390-459) from 2006 to 2012. A Cox proportional hazards model was performed to estimate the hazard ratio (HR) for CVD events. RESULTS: Occupational drivers with high overcommitment scores (thresholds of 15) had an elevated risk for CVD (HR = 1.71; 95% CI = 1.04, 2.82). Regarding target disease, overcommitment had an increased risk for CVD (not including hypertensive disease) (HR = 1.27; 95% CI = 1.05, 1.54) and ischemic heart disease (HR = 1.32; 95% CI = 1.05-1.65). CONCLUSION: Overcommitment, which is associated with job stress, appears to be associated with CVD risk in professional drivers.