Uliginosibacterium sangjuense sp. nov., isolated from sediment of the Nakdong River.

A Gram-negative, aerobic, motile by flagella, and light yellow bacterium, designated SS1-76T, was isolated from sediment of the Nakdong River in Sangju-si, Republic of Korea. Phylogenetic analysis based on 16S rRNA gene sequences revealed that the isolate SS1-76T belongs to the genus Uliginosibacterium of the family Rhodocyclaceae, exhibiting high sequence similarity with the type strains of Uliginosibacterium gangwonense 5YN10-9T (96.0%) and Uliginosibacterium paludis KBP-13T (94.9%). Strain SS1-76T contains ubiquinone-8 as a respiratory quinone and summed feature 3 (C16:1 ω7c and/or C16:1 ω6c), C16:0, and C14:0 as major fatty acids. The cellular polar lipids are composed of phosphatidylethanolamine, phosphatidylglycerol, and unidentified aminophospholipids. The DNA G+C content was 65.3 mol%. Phenotypic, chemotaxonomic, and phylogenetic evidence clearly indicated that strain SS1-76T represents a novel species of the genus Uliginosibacterium, for which the name Uliginosibacterium sangjuense sp. nov. is proposed. The type strain is SS1-76T (= KCTC 52159T = JCM 31375T).

The effects of uncoated paper on skin moisture and transepidermal water loss in bedridden patients.

AIMS AND OBJECTIVES: The aims of this study were to measure skin moisture and transepidermal water loss after application of uncoated paper and to compare skin moisture and transepidermal water loss after use of uncoated paper and disposable underpads. STUDY DESIGN: The study was a cross-over, prospective, open-labeled, randomized trial. SAMPLE AND SETTING: Bedridden patients aged≥18 years at a medical center in Korea were included. Treatment order was randomly assigned using block randomization, with a block size of 4 and an assignment rate of one-by-one. METHODS: Skin moisture was measured using a Corneometer 825 and transepidermal water loss was measured using a Tewameter 300. RESULTS: Skin moisture after application of an uncoated paper was significantly lower than observed after application of a disposable underpad (mean 40.6 and SD 13.1 vs. mean 64.6 and SD 23.7, p<0.001). Transepidermal water loss also showed greater health scores after using uncoated paper (mean 11.1 and SD 5.7 g/m2/hour) than after applying a disposable underpad (mean 23.2 and SD 11.1 g/m2 /hour, p<0.001). There were no statistical between-group differences in room temperature, relative humidity, and body temperature. CONCLUSION: We found that uncoated paper was helpful in avoiding excessive moisture without adverse effects. RELEVANCE TO CLINICAL PRACTICE: As indicated by the results of this study, uncoated paper can be applied to bed-ridden patients who required incontinence care. Nurses may consider using uncoated paper as one of nursing methods in the routine care of bed-ridden patients for moisture control.

A clinical-decision support system for the nursing process in the ENR.

This study was conducted to develop the clinical-decision support system for the nursing process in the Electronic nursing record system. Nursing diagnoses were linked to 4 components of the nursing process (except for diagnoses) and applied to ENR in 2007.

Integrated GlycoProteome Analyzer (I-GPA) for Automated Identification and Quantitation of Site-Specific N-Glycosylation.

Human glycoproteins exhibit enormous heterogeneity at each N-glycosite, but few studies have attempted to globally characterize the site-specific structural features. We have developed Integrated GlycoProteome Analyzer (I-GPA) including mapping system for complex N-glycoproteomes, which combines methods for tandem mass spectrometry with a database search and algorithmic suite. Using an N-glycopeptide database that we constructed, we created novel scoring algorithms with decoy glycopeptides, where 95 N-glycopeptides from standard α1-acid glycoprotein were identified with 0% false positives, giving the same results as manual validation. Additionally automated label-free quantitation method was first developed that utilizes the combined intensity of top three isotope peaks at three highest MS spectral points. The efficiency of I-GPA was demonstrated by automatically identifying 619 site-specific N-glycopeptides with FDR ≤ 1%, and simultaneously quantifying 598 N-glycopeptides, from human plasma samples that are known to contain highly glycosylated proteins. Thus, I-GPA platform could make a major breakthrough in high-throughput mapping of complex N-glycoproteomes, which can be applied to biomarker discovery and ongoing global human proteome project.