Anti-ADRA1A (C-terminal) polyclonal antibody

Various sleep abnormalities, such as delayed sleep onset, frequent awakening and daytime sleepiness, deteriorate the quality of life in patients with chronic kidney disease (CKD), including those on haemodialysis (HD). Although there are some candidate causative molecules in the central nervous system, the contribution of peripheral blood cells (PBCs) remains unclear. In this study, we performed polysomnographic analysis in CKD patients and used PBCs to examine the expression of genes related to sleep and wakefulness states. Polysomnographic analysis was performed in 9 CKD patients and 6 controls. Genes related to sleep and wakefulness were evaluated by RNA microarray in 19 subjects, including CKD patients and control subjects. Polysomnographic analysis revealed that the duration of the rapid eye movement (REM)/non-REM phases during total sleep time was different between CKD patients and healthy controls. In mRNA microarray evaluation, hierarchical clustering analysis showed different patterns of sleep-related gene expression in HD patients. mRNA expression levels of GABA receptor (GABBR2), noradrenaline receptor (ADRA1A), dopamine receptor (DRD1) and histamine receptor (HRH1) showed an inverse correlation with renal function. Moreover, the mRNA expression of orexin and its receptor (HCRTR1 and HCRTR2) was also inversely correlated with renal function. These data indicate that the expression of sleep-related genes in PBCs of CKD patients may be associated with sleep abnormalities.

Second-generation antipsychotics (SGAs), such as risperidone, clozapine and olanzapine, are the most common drug treatments for schizophrenia. SGAs presented an advantage over first-generation antipsychotics (FGAs), particularly regarding avoidance of extrapyramidal symptoms. However, most SGAs, and to a lesser degree FGAs, are linked to substantial weight gain. This substantial weight gain is a leading factor in patient non-compliance and poses significant risk of diabetes, lipid abnormalities (that is, metabolic syndrome) and cardiovascular events including sudden death. The purpose of this article is to review the advances made in the field of pharmacogenetics of antipsychotic-induced weight gain (AIWG). We included all published association studies in AIWG from December 2006 to date using the Medline and ISI web of knowledge databases. There has been considerable progress reaffirming previous findings and discovery of novel genetic factors. The HTR2C and leptin genes are among the most promising, and new evidence suggests that the DRD2, TNF, SNAP-25 and MC4R genes are also prominent risk factors. Further promising findings have been reported in novel susceptibility genes, such as CNR1, MDR1, ADRA1A and INSIG2. More research is required before genetically informed, personalized medicine can be applied to antipsychotic treatment; nevertheless, inroads have been made towards assessing genetic liability and plausible clinical application. Molecular Psychiatry (2012) 17, 242-266; doi: 10.1038/mp.2011.109; published online 6 September 2011