Kinetic features of carbonyl reductase 1 acting on glutathionylated aldehydes

Characterization of a novel porcine carbonyl reductase activated by glutathione: Relationship to carbonyl reductase 1, 3α/β-hydroxysteroid dehydrogenase and prostaglandin 9-ketoreductase

A porcine gene, LOC100622246, encodes carbonyl reductase [NADPH] 1 (pCBR-N1), whose function remains unknown. Previously, three porcine carbonyl reductases, carbonyl reductase 1 (pCBR1), 3α/β-hydroxysteroid dehydrogenase (p3α/β-HSD) and prostaglandine-9-keto reductase (pPG-9-KR), were purified from neonatal testis, adult testis and adult kidney, respectively. However, the relationship of pCBR-N1 with the three enzymes is still unknown. Here, we compare the properties of the recombinant pCBR-N1 and pCBR1. The two enzymes reduced various carbonyl compounds including 5α-dihydrotestosterone, which was converted to its 3α- and 3β-hydroxy-metabolites. Compared to pCBR1, pCBR-N1 exhibited higher Km and kcat values for most substrates, but more efficiently reduced prostaglandin E2. pCBR-N1 was inhibited by known inhibitors of p3α/β-HSD (hexestrol and indomethacin), but not by pCBR1 inhibitors. pCBR-N1 was highly expressed than pCBR1 in the several tissues of adult domestic and microminiature pigs. The results, together with partial amino acid sequence match between pCBR-N1 and pPG-9-KR, reveal that pCBR-N1 is identical to p3α/β-HSD and pPG-9-KR. Notably, pCBR-N1, but not pCBR1, reduced S-nitrosoglutathione and glutathione-adducts of alkenals including 4-oxo-2-nonenal with Km of 8.3-32 μM, and its activity toward non-glutathionylated substrates was activated 2- to 9-fold by 1 mM glutathione. Similar activation by glutathione was also observed for human CBR1. Site-directed mutagenesis revealed that the differences in kinetic constants and glutathione-mediated activation between pCBR-N1 and pCBR1 are due to differences in residue 236 and two glutathione-binding residues (at positions 97 and 193), respectively. Thus, pCBR-N1 is a glutathione-activated carbonyl reductase that functions in the metabolism of endogenous and xenobiotic carbonyl compounds.

Response of a Human Lens Epithelial Cell Line to Hyperglycemic and Oxidative Stress: The Role of Aldose Reductase

A common feature of different types of diabetes is the high blood glucose levels, which are known to induce a series of metabolic alterations, leading to damaging events in different tissues. Among these alterations, both increased polyol pathway flux and oxidative stress are considered to play relevant roles in the response of different cells. In this work, the effect on a human lens epithelial cell line of stress conditions, consisting of exposure to either high glucose levels or to the lipid peroxidation product 4-hydroxy-2-nonenal, is reported. The occurrence of osmotic imbalance, alterations of glutathione levels, and expression of inflammatory markers was monitored. A common feature of the two stress conditions was the expression of COX-2, which, only in the case of hyperglycemic stress, occurred through NF-κB activation. In our cell model, aldose reductase activity, which is confirmed as the only activity responsible for the osmotic imbalance occurring in hyperglycemic conditions, seemed to have no role in controlling the onset of the inflammatory phenomena. However, it played a relevant role in cellular detoxification against lipid peroxidation products. These results, in confirming the multifactorial nature of the inflammatory phenomena, highlight the dual role of aldose reductase as having both damaging but also protecting activity, depending on stress conditions.

Pathways of 4-Hydroxy-2-Nonenal Detoxification in a Human Astrocytoma Cell Line

One of the consequences of the increased level of oxidative stress that often characterizes the cancer cell environment is the abnormal generation of lipid peroxidation products, above all 4-hydroxynonenal. The contribution of this aldehyde to the pathogenesis of several diseases is well known. In this study, we characterized the ADF astrocytoma cell line both in terms of its pattern of enzymatic activities devoted to 4-hydroxynonenal removal and its resistance to oxidative stress induced by exposure to hydrogen peroxide. A comparison with lens cell lines, which, due to the ocular function, are normally exposed to oxidative conditions is reported. Our results show that, overall, ADF cells counteract oxidative stress conditions better than normal cells, thus confirming the redox adaptation demonstrated for several cancer cells. In addition, the markedly high level of NADP⁺-dependent dehydrogenase activity acting on the glutahionyl-hydroxynonanal adduct detected in ADF cells may promote, at the same time, the detoxification and recovery of cell-reducing power in these cells.

Dehydrogenase/reductase activity of human carbonyl reductase 1 with NADP(H) acting as a prosthetic group

Carbonyl reductase 1 (CBR1) is an NADP-dependent enzyme that exerts a detoxifying role, which catalyses the transformation of carbonyl-containing compounds. The ability of CBR1 to act on adducts between glutathione and lipid peroxidation derived aldehydes has recently been reported. In the present study, exploiting mass spectrometry and fluorescence spectroscopy, evidence is shown that CBR1 is able to retain NADP(H) at the active site even after extensive dialysis, and that this retention may also occur when the enzyme is performing catalysis. This property, together with the multi-substrate specificity of CBR1 in both directions of red/ox reactions, generates inter-conversion red/ox cycles. This particular feature of CBR1, in the case of the transformation of 3-glutathionyl, 4-hydroxynonanal (GSHNE), which is a key substrate of the enzyme in detoxification, supports the disproportionation reaction of GSHNE without any apparent exchange of the cofactor with the solution. The importance of the cofactor as a prosthetic group for other dehydrogenases exerting a detoxification role is discussed.

Simulation and Reconstruction of Metabolite-Metabolite Association Networks Using a Metabolic Dynamic Model and Correlation Based Algorithms

Biological networks play a paramount role in our understanding of complex biological phenomena, and metabolite-metabolite association networks are now commonly used in metabolomics applications. In this study we evaluate the performance of several network inference algorithms (PCLRC, MRNET, GENIE3, TIGRESS, and modifications of the MRNET algorithm, together with standard Pearson's and Spearman's correlation) using as a test case data generated using a dynamic metabolic model describing the metabolism of arachidonic acid (consisting of 83 metabolites and 131 reactions) and simulation individual metabolic profiles of 550 subjects. The quality of the reconstructed metabolite-metabolite association networks was assessed against the original metabolic network taking into account different degrees of association among the metabolites and different sample sizes and noise levels. We found that inference algorithms based on resampling and bootstrapping perform better when correlations are used as indexes to measure the strength of metabolite-metabolite associations. We also advocate for the use of data generated using dynamic models to test the performance of algorithms for network inference since they produce correlation patterns that are more similar to those observed in real metabolomics data.