Among the five widely used atypical antipsychotics quetiapine is the Blasticidin S molecular weight only one which does not elevate the ghrelin level. (C) 2008 Elsevier Inc. All rights
reserved.”
“Recent studies have shown an association between Parkinson disease (PD) and mutations in the gene encoding the lysosomal enzyme glucocerebrosidase (GBA), which is deficient in patients with Gaucher disease. In Asian populations, 2 mutational analysis studies have been performed in all exons of GBA; one study in a Japanese population showed the highest odds ratio among all ethnic groups, whereas the other study in ethnic Chinese observed a trend of a higher frequency of GBA mutation in PD patients without statistical significance. To investigate whether there is an association between PD and mutations of GBA in a https://www.selleckchem.com/products/GSK1904529A.html Korean population, we analyzed mutations of GBA and compared mutation frequencies between Korean PD patients and a control population. We analyzed mutations in GBA by sequencing exons of GBA in 277 Korean PD patients and 291 control subjects.
All exons of GBA were sequenced in all PD cases and 100 control subjects. Exon 2 and exons 5-11, where mutations of GBA were found in our PD patients, were analyzed in an additional 191 control subjects. Five different pathogenic heterozygous GBA mutations, including N1885, P201H, R257Q S271G, and L444P, were identified in 9 PD cases (3.2%), whereas there were no GBA mutations found in control subjects (p < 0.01, OR 20.6, 95% Cl 1.2-356.4). The mean age-at-onset of heterozygous GBA variants carriers was younger than that of non-carriers (48.6 +/- 11.9 versus 57.9 +/- 13.5, p < 0.05, Mann-Whitney test). Our results suggest that heterozygous mutations of GBA represent a risk factor for PD in Koreans. (C) 2012 Published by Elsevier Ireland Ltd.”
“Background. Objective methods to measure daily energy expenditure in studies of aging are needed. We sought to determine the accuracy of total energy PLEK2 expenditure (TEE) and activity energy expenditure (AEE) estimates from the SenseWear Pro armband
(SWA) using software versions 6.1 (SWA 6.1) and 5.1 (SWA 5.1) relative to criterion methods in free-living older adults.
Methods. Participants (n = 19, mean age 82.0 years) wore a SWA for a mean +/- SD 12.5 +/- 1.1 days, including while sleeping. During this same period, criterion values for TEE were assessed with doubly labeled water and for resting metabolic rate (RMR) with indirect calorimetry. AEE was calculated as 0.9 TEE – RMR.
Results. For TEE, there was no difference in mean +/- SD values from doubly labeled water (2,040 +/- 472 kcal/day) versus SWA 6.1 (2,012 +/- 497 kcal/day, p = .593) or SWA 5.1 (2,066 +/- 474 kcal/day, p = .606); individual values were highly correlated between methods (SWA 6.1 r = .893, p < .001; SWA 5.1 r = .901, p < .001) and demonstrated strong agreement (SWA 6.1 intraclass correlation coefficient = .896; SWA 5.