Usefulness of Microcatheters Inserted Overnight for Additional Injection of Sclerosant after Initial Balloon-Occluded Retrograde Transvenous Obliteration of Gastric Varices

In patients with large gastric varices, dose limitation of the sclerosant can cause difficulties in achieving complete thrombosis of varices during a single balloon-occluded retrograde transvenous obliteration (BRTO) procedure. For patients with incomplete variceal thrombosis after the first BRTO, additional sclerosant must be injected in a second BRTO. We report a successful case of BRTO for large gastric varices in whom additional sclerosant was injected through a microcatheter that remained inserted overnight. To achieve complete variceal thrombosis in a patient with incomplete thrombosis of large gastric varices after a first BRTO, a retained microcatheter can be used to inject additional sclerosant in a second BRTO the next day

pJRES Binning Algorithm (JBA): a new method to facilitate the recovery of metabolic information from pJRES 1H NMR spectra

Motivation: Data processing is a key bottleneck for 1H NMR-based metabolic profiling of complex biological mixtures, such as biofluids. These spectra typically contain several thousands of signals, corresponding to possibly few hundreds of metabolites. A number of binning-based methods have been proposed to reduce the dimensionality of 1D 1H NMR datasets, including statistical recoupling of variables (SRV). Here, we introduce a new binning method, named JBA ("pJRES Binning Algorithm"), which aims to extend the applicability of SRV to pJRES spectra. Results: The performance of JBA is comprehensively evaluated using 617 plasma 1H NMR spectra from the FGENTCARD cohort. The results presented here show that JBA exhibits higher sensitivity than SRV to detect peaks from low-abundance metabolites. In addition, JBA allows a more efficient removal of spectral variables corresponding to pure electronic noise, and this has a positive impact on multivariate model building. Availability: The algorithm is implemented using the MWASTools R/Bioconductor package. Supplementary information: Supplementary data are available at Bioinformatics online

The association of sleep quality with dry eye disease: the Osaka study

Motoko Kawashima,1 Miki Uchino,1,2 Norihiko Yokoi,3 Yuichi Uchino,1,2 Murat Dogru,1 Aoi Komuro,3 Yukiko Sonomura,3 Hiroaki Kato,3 Shigeru Kinoshita,3 Kazuo Tsubota1 1Department of Ophthalmology, Keio University School of Medicine, Shinjuku-ku, 2Ryogoku Eye Clinic, Sumida-ku, Tokyo, 3Department of Ophthalmology, Kyoto Prefectural University of Medicine, Kyoto, Japan Purpose: To investigate the association of dry eye disease with sleep quality. Methods: In 2011, a cross-sectional survey was conducted among all the employees, mainly young and middle-aged Japanese office workers, who used visual display technology, at a company in Osaka, Japan (N=672; age range =26–64 years). The participants were classified according to the Japanese dry eye diagnosis criteria by dry eye examination results including the Schirmer test, fluorescein and lissamine green staining, tear film break-up time, and symptom questionnaire into three groups as follows: definite dry eye disease, probable dry eye disease, and no dry eye disease. To determine sleep quality, Japanese version of the Pittsburgh Sleep Quality Index (global score) was implemented. The global score (range =0–21) was calculated by summing seven sleep variable scores (scale, 0–3); scores ≥5.5 indicated poor sleep. Results: The total mean global score was 5.1±2.3 (completed N=383); 45% of the dry eye disease participants reported having poor sleep quality, while 34% of the no dry eye disease participants did so, with a significant difference found in the global score (P=0.002). Furthermore, a statistically significant association was observed between the global score and dry eye disease (P=0.005). Conclusion: Poor sleep quality is associated with dry eye disease, especially with dry eye symptoms. Keywords: dry eye, sleep quality, symptom, questionnaire, Pittsburgh Sleep Quality Index, tear film break-up time, visual display terminal

The natural metabolite 4-cresol improves glucose homeostasis and enhances beta-cell function

Exposure to natural metabolites contributes to the risk of cardiometabolic diseases (CMDs). Through metabolome profiling, we identify the inverse correlation between serum concentrations of 4-cresol and type 2 diabetes. The chronic administration of non-toxic doses of 4-cresol in complementary preclinical models of CMD reduces adiposity, glucose intolerance, and liver triglycerides, enhances insulin secretion in vivo, stimulates islet density and size, and pancreatic β-cell proliferation, and increases vascularization, suggesting activated islet enlargement. In vivo insulin sensitivity is not affected by 4-cresol. The incubation of mouse isolated islets with 4-cresol results in enhanced insulin secretion, insulin content, and β-cell proliferation of a magnitude similar to that induced by GLP-1. In both CMD models and isolated islets, 4-cresol is associated with the downregulated expression of the kinase DYRK1A, which may mediate its biological effects. Our findings identify 4-cresol as an effective regulator of β-cell function, which opens up perspectives for therapeutic applications in syndromes of insulin deficiency

J-Resolved (1)H NMR 1D-Projections for Large-Scale Metabolic Phenotyping Studies: Application to Blood Plasma Analysis.

(1)H nuclear magnetic resonance (NMR) spectroscopy-based metabolic phenotyping is now widely used for large-scale epidemiological applications. To minimize signal overlap present in 1D (1)H NMR spectra, we have investigated the use of 2D J-resolved (JRES) (1)H NMR spectroscopy for large-scale phenotyping studies. In particular, we have evaluated the use of the 1D projections of the 2D JRES spectra (pJRES), which provide single peaks for each of the J-coupled multiplets, using 705 human plasma samples from the FGENTCARD cohort. On the basis of the assessment of several objective analytical criteria (spectral dispersion, attenuation of macromolecular signals, cross-spectral correlation with GC-MS metabolites, analytical reproducibility and biomarker discovery potential), we concluded that the pJRES approach exhibits suitable properties for implementation in large-scale molecular epidemiology workflows