Big GABA II: Water-referenced edited MR spectroscopy at 25 research sites

Accurate and reliable quantification of brain metabolites measured in vivo using 1H magnetic resonance spectroscopy (MRS) is a topic of continued interest. Aside from differences in the basic approach to quantification, the quantification of metabolite data acquired at different sites and on different platforms poses an additional methodological challenge. In this study, spectrally edited γ-aminobutyric acid (GABA) MRS data were analyzed and GABA levels were quantified relative to an internal tissue water reference. Data from 284 volunteers scanned across 25 research sites were collected using GABA+ (GABA + co-edited macromolecules (MM)) and MM-suppressed GABA editing. The unsuppressed water signal from the volume of interest was acquired for concentration referencing. Whole-brain T1-weighted structural images were acquired and segmented to determine gray matter, white matter and cerebrospinal fluid voxel tissue fractions. Water-referenced GABA measurements were fully corrected for tissue-dependent signal relaxation and water visibility effects. The cohort-wide coefficient of variation was 17% for the GABA + data and 29% for the MM-suppressed GABA data. The mean within-site coefficient of variation was 10% for the GABA + data and 19% for the MM-suppressed GABA data. Vendor differences contributed 53% to the total variance in the GABA + data, while the remaining variance was attributed to site- (11%) and participant-level (36%) effects. For the MM-suppressed data, 54% of the variance was attributed to site differences, while the remaining 46% was attributed to participant differences. Results from an exploratory analysis suggested that the vendor differences were related to the unsuppressed water signal acquisition. Discounting the observed vendor-specific effects, water-referenced GABA measurements exhibit similar levels of variance to creatine-referenced GABA measurements. It is concluded that quantification using internal tissue water referencing is a viable and reliable method for the quantification of in vivo GABA levels

Vibrio parahaemolyticus, enterotoxigenic Escherichia coli, enterohemorrhagic Escherichia coli and Vibrio cholerae

This review highlighted the following: (i) pathogenic mechanism of the thermostable direct hemolysin produced by Vibrio parahaemolyticus, especially on its cardiotoxicity, (ii) heat-labile and heat-stable enterotoxins produced by enterotoxigenic Escherichia coli, especially structure–activity relationship of heat-stable enterotoxin, (iii) RNA N-glycosidase activity of Vero toxins (VT1 and VT2) produced by enterohemorrhagic Escherichia coli O157:H7, (iv) discovery of Vibrio cholerae O139, (v) isolation of new variant of Vibrio cholerae O1 El Tor that carries classical ctxB, and production of high concentration of cholera toxin by these strains, and (vi) conversion of viable but nonculturable (VBNC) Vibrio cholerae to culturable state by co-culture with eukaryotic cells

Sex differences in perceived importance of hamstring stretching among high school athletes.

This study tested the predictive value of attentional bias, emotion recognition, automatic associations, and response inhibition, in the assessment of in-clinic violent incidents. Sixty-nine male forensic patients participated and completed an Emotional Stroop to measure attentional bias for threat and aggression, a Single Target - Implicit Association Task to assess automatic associations, a Graded Emotional Recognition Task to measure emotion recognition, and an Affective Go/NoGo to measure response inhibition. Violent incidents were derived from patient files and scored on severity level. The predictive value of level of psychopathy was tested with the Psychopathy Checklist - Revised (PCL-R). Generalized linear mixed model analyses showed that increased attention towards threat and aggression, difficulty recognizing sad faces and factor 2 of the PCL-R predicted the sum of violent incidents. Specifically, verbal aggression was predicted by increased attention towards threat and aggression, difficulty to recognize sad and happy faces, and PCL-R factor 2; physical aggression by decreased response inhibition, higher PCL-R factor 2 and lower PCL-R factor 1 scores; and aggression against property by difficulty recognizing angry faces. Findings indicate that cognitive tasks could be valuable in predicting aggression, thereby extending current knowledge on dynamic factors predicting aggressive behavior in forensic patients