Air Pollution Is Associated with Poor Cognitive Function in Taiwanese Adults.

The issue of air pollution is gaining increasing attention worldwide, and mounting evidence has shown an association between air pollution and cognitive decline. The aim of this study was to investigate the relationships between air pollutants and cognitive impairment using the Mini-Mental State Exam (MMSE) and its sub-domains. In this study, we used data from the Taiwan Biobank combined with detailed daily data on air pollution. Cognitive function was assessed using the MMSE and its five subgroups of cognitive functioning. After multivariable linear regression analysis, a high level of particulate matter with an aerodynamic diameter of ≤2.5 µm (PM2.5), low ozone (O3), high carbon monoxide (CO), high sulfur dioxide (SO2), high nitric oxide (NO), high nitrogen dioxide (NO2), and high nitrogen oxide (NOx) were significantly associated with low total MMSE scores. Further, high SO2 and low O3 were significantly associated with low MMSE G1 scores. Low O3, high CO, high SO2, high NO2, and high NOx were significantly associated with low MMSE G4 scores, and high PM2.5, high particulate matter with an aerodynamic diameter of ≤10 µm (PM10), high SO2, high NO2, and high NOx were significantly associated with low MMSE G5 scores. Our results showed that exposure to different air pollutants may lead to general cognitive decline and impairment of specific domains of cognitive functioning, and O3 may be a protective factor. These findings may be helpful in the development of policies regarding the regulation of air pollution.

UniQua: a universal signal processor for MS-based qualitative and quantitative proteomics applications.

Recent developments in high resolution mass spectrometry (HR-MS) technology have ushered proteomics into a new era. However, the importance of using a common, open data platform for signal processing of HR-MS spectra has not been sufficiently addressed. In this study, a MS signal processor was developed to facilitate data integration from different instruments and different proteomics approaches into a unified platform without compromising protein identification and quantitation performance. This processor supports parallel processing capability which allows full utilization of computing resources to speed up signal processing performance to >1 gigabytes/min. The storage space occupied by the processed MS data can be reduced to ~10%, which helps the analysis and management of large quantities of data from comprehensive proteomics studies. For quantitation at the MS level, processing accuracy is improved and processing time for ASAPRatio is reduced to ~50%. For quantitation at the MS/MS level, accurate reporter ion ratios from different instruments can be directly determined by the processed MS/MS spectra and reported in the Mascot search result directly without using specialized iTRAQ software.

Diet behavior and low hemoglobin level after laparoscopic mini-gastric bypass surgery.

BACKGROUND/AIMS: Nutrition problems caused by laparoscopic mini-gastric bypass surgery (LMGB) include lack of iron, calcium and poor nutrition. Iron deficiency anemia is the common. The purpose of this study was to investigate why our patients' hemoglobin level was at a low value after surgery and the relationship between diet frequency, diet behavior, and low hemoglobin level. METHODOLOGY: From January 2009 to April 2010, 120 patients who received laparoscopic mini-gastric bypass surgery were included in this study. Among all patients, there were 34 men and 86 women. Hemoglobin level of male patients less than 13mg/dL and that of female patients less than 11.5mg/dL was defined as anemia. The clinical characteristics and diet behavior were analyzed. RESULTS: The mean age was 30.9±10.5 years and the mean body mass index was 41.4±7.2kg/m2. Before and after surgery, the proportion of anemia was 4.1% and 26.6%, respectively. The proportion of anemia in females increased more than in males. Hemoglobin level after surgery showed positive correlation (p<0.05) with the diet frequency of high protein, sugar drinks with balanced formula, alcoholic drinks and exercise, but negative correlation (p<0.01) with iron supplements. CONCLUSIONS: The study concluded that patients after laparoscopic mini-gastric bypass surgery should increase the ingestion of high-protein drinks or food, alcoholic drinks and exercise, to prevent a low hemoglobin level.

Discovery of novel bladder cancer biomarkers by comparative urine proteomics using iTRAQ technology.

A urine sample preparation workflow for the iTRAQ (isobaric tag for relative and absolute quantitation) technique was established. The reproducibility of this platform was evaluated and applied to discover proteins with differential levels between pooled urine samples from nontumor controls and three bladder cancer patient subgroups with different grades/stages (a total of 14 controls and 23 cancer cases in two multiplex iTRAQ runs). Combining the results of two independent clinical sample sets, a total of 638 urine proteins were identified. Among them, 55 proteins consistently showed >2-fold differences in both sample sets. Western blot analyses of individual urine samples confirmed that the levels of apolipoprotein A-I (APOA1), apolipoprotein A-II, heparin cofactor 2 precursor and peroxiredoxin-2 were significantly elevated in bladder cancer urine specimens (n = 25-74). Finally, we quantified APOA1 in a number of urine samples using a commercial ELISA and confirmed again its potential value for diagnosis (n = 126, 94.6% sensitivity and 92.0% specificity at a cutoff value of 11.16 ng/mL) and early detection (n = 71, 83.8% sensitivity and 94.0% specificity). Collectively, our results provide the first iTRAQ-based quantitative profile of bladder cancer urine proteins and represent a valuable resource for the discovery of bladder cancer markers.