Familial genes in sporadic disease: Common variants of a-Synuclein gene associate with Parkinson’s disease

Genetic variation of the alpha-synuclein gene (SNCA) is known to cause familial parkinsonism, however the role of SNCA variants in sporadic Parkinson's disease (PD) remains elusive. The present study identifies an association of common SNCA polymorphisms with disease susceptibility in a series of Irish PD patients. There is evidence for association with alternate regions, of protection and risk which may act independently/synergistically, within the promoter region (Rep1; OR: 0.59, 95% CI: 0.37-0.84) and the 3'UTR of the gene (rs356165; OR: 1.67, 95% CI: 1.08-2.58). Given previous reports of association a collaborative effort is required which may exploit global linkage disequilibrium patterns for SNCA and standardise polymorphic markers used in each population. It is now crucial to identify the susceptibility allele and elucidate its functionality which may generate a therapeutic target for PD.

The complex array of bradykinin-related peptides (BRPs) in the peptidome of pickerel frog (Rana palustris) skin secretion is the product of transcriptional economy.

Previous peptidomic analyses of the defensive skin secretion from the North American pickerel frog, Rana palustris, have established the presence of canonical bradykinin and multiple bradykinin-related peptides (BRPs). As a consequence of the multiplicity of peptides identified and their diverse primary structures, it was speculated that they must represent the products of expression of multiple genes. Here, we present unequivocal evidence that the majority of BRPs (11/13) identified in skin secretion by the peptidomic approach can be generated by differential site-specific protease cleavage from a single common precursor of 321 amino acid residues, named skin kininogen 1, whose primary structure was deduced from cloned skin secretion-derived cDNA. The organization of skin kininogen 1 consists of a hydrophobic signal peptide followed by eight non-identical domains each encoding a single copy of either canonical bradykinin or a BRP. Two additional splice variants, encoding precursors of 233 (skin kininogen 2) or 189 amino acid residues (skin kininogen 3), were also cloned and were found to lack BRP-encoding domains 5 and 6 or 4, 5 and 6, respectively. Thus, generation of peptidome diversity in amphibian defensive skin secretions can be achieved in part by differential protease cleavage of relatively large and multiple-encoding domain precursors reflecting a high degree of transcriptional economy.

Cyclooxygenase-2 expression correlates with phaeochromocytoma malignancy.

Abstract Aims: Phaeochromocytomas are rare but potentially life-threatening neuroendocrine tumours of the adrenal medulla or sympathetic nervous system ganglia. There are no histological features which reliably differentiate benign from malignant phaeochromocytomas. The current study evaluated cyclooxygenase-2 (Cox-2) and Bcl-2 as tissue-based biomarkers of phaeochromocytoma prognosis. Methods and Results: Cox-2 and Bcl-2 expression were examined immunohistochemically in tissue from forty-one sporadic phaeochromocytoma patients followed up for a minimum of five years after diagnosis. There was a statistically significant association between Cox-2 histoscore (intensity x porportion) and the development of tumour recurrence or metastases (p=0.006). A significant relationship between the co-expression of Cox-2 and Bcl-2 in the primary tumour and the presence of recurrent disease was observed (p=0.034). A highly significant association was observed between, (i) the tumour-associated expression of these two oncoproteins (p=0.001) and, (ii) Cox-2 histoscore and the presence of Bcl-2 expression (p=0.002). Cox regression analysis demonstrated no significant relationship between, (i) the presence or absence of either Cox-2 or Bcl-2 and patient survival or, (ii) between Cox-2 histoscore and patient survival. Conclusions: These results suggest that Cox-2 and Bcl-2 may promote phaeochromocytoma malignancy and that these oncoproteins may be valuable surrogate markers of an aggressive tumour phenotype.

Inhibition of cathepsin L-like proteases by cathepsin V propeptide

The N-terminal propeptide domains of several cathepsin L-like cysteine proteases have been shown to possess potent inhibitory activity. Here we report the first kinetic characterisation of the inhibition properties of the cathepsin V propeptide (CatV PP). Using a facile recombinant approach we demonstrate expression, purification and evaluation of the CatV PP. This propeptide was found to behave as a tight-binding inhibitor against CatV (K (i) 10.2 nm). It also functions as an inhibitor against other members of the CatL-like subclass (CatL, 9.8 nm; CatS, 10.7 nm; and CatK, 149 nm) and had no discernible effects upon the more distantly related CatB.

Evaluation of predicted network modules in yeast metabolism using NMR-based metabolite profiling

Genome-scale metabolic models promise important insights into cell function. However, the definition of pathways and functional network modules within these models, and in the biochemical literature in general, is often based on intuitive reasoning. Although mathematical methods have been proposed to identify modules, which are defined as groups of reactions with correlated fluxes, there is a need for experimental verification. We show here that multivariate statistical analysis of the NMR-derived intra- and extracellular metabolite profiles of single-gene deletion mutants in specific metabolic pathways in the yeast Saccharomyces cerevisiae identified outliers whose profiles were markedly different from those of the other mutants in their respective pathways. Application of flux coupling analysis to a metabolic model of this yeast showed that the deleted gene in an outlying mutant encoded an enzyme that was not part of the same functional network module as the other enzymes in the pathway. We suggest that metabolomic methods such as this, which do not require any knowledge of how a gene deletion might perturb the metabolic network, provide an empirical method for validating and ultimately refining the predicted network structure.