Determination of interproton distances from NOESY spectra in the active site of paramagnetic metalloenzymes: cyanide-inhibited horseradish peroxidase

Two dimensional (2D) nuclear Overhauser effect (NOE) or NOESY experiments are performed on cyanide inhibited horseradish peroxidase in order to assess the prospects for obtaining quantitative interproton distances for the hyperfine shifted and paramagnetically relaxed active site signals in an intermediate sized (-44 kDa) paramagnetic metalloenzyme. This protein represents an ideal test case for such experiments because a series of structurally defined proton pairs on the heme and axial His 170 have been previously assigned. The relaxation properties of hyperfine shifted signals relevant to the experimental setup of 2D experiments and interpretation of both 1D and 2D NOE data are also investigated. NOESY spectra as a function of mixing time show that quantitative rise curves can be obtained that clearly differentiate between primary and secondary NOES even among the most strongly relaxed protons, but this requires very short mixing times in the range 0.5-3.0 ms. The sensitivity of the weak cross peaks at these short mixing times is improved by the relatively rapid pulse repetition rate and concommitant increase in the number of scans allowed by the rapid relaxation of active site protons. The paramagnetic relaxation influence, as well as the size of the protein, results in rise curves that are linear to only 1.5 ms for geminal protons and to only 3-5 ms for more weakly dipolar coupled proton pairs. However, the cross peak intensities in the linear region are shown to yield cross relaxation rates and internuclear distances for a series of assigned and orientationally invariant proton pairs that are in good agreement with their known distances. The patterns of NOESY rise curves are used both to determine the orientations of one propionate and both vinyl groups relative to the heme and to show that the axial His exhibits an orientation relative to its helix that is similar but not identical to that in crystallographically characterized cytochrome c peroxidase. Selective and nonselective 1D as well as 2D selective relaxation rate measurements for hyperfine shifted signals show that only selective or intrinsic relaxation rates can be used to optimize the setup of NOESY experiments and interpret 1D NOE data. The results of the study indicate that NOESY spectra can be expected to yield valuable quantitative structural information on the hyperfine shifted active site residues in a variety of cyanide-inhibited heme peroxidases

Dolichol: A Component of the Cellular Antioxidant Machinery

Dolichol, an end product of the mevalonate pathway, has been proposed a biomarker of aging, but its biological role, not to mention its catabolism, has not been fully understood. UV-B radiation was used to induce oxidative stress in isolated rat hepatocytes by the collagenase method. Effects on dolichol, phospholipids-bound polyunsaturated fatty acids (PL PUFA) and known lipid soluble antioxidants [coenzyme Q (CoQ) and α-tocopherol] were studied. The increase in oxidative stress was detected by a probe sensitive to reactive oxygen species (ROS). Peroxidation of lipids was assessed by measuring the release of thiobarbituric acid reactive substances (TBARS). Dolichol, CoQ and α-tocopherol were assessed by high-pressure liquid chromatography (HPLC), PL PUFA by gas-liquid chromatography (GC). UV-B radiation caused an immediate increase in ROS as well as lipid peroxidation and a simultaneous decrease in the levels of dolichol and lipid soluble antioxidants. Decrease in dolichol paralleled changes in CoQ levels and was smaller than that in α-tocopherol. The addition of mevinolin, a competitive inhibitor of the enzyme 3-hydroxy-3-methylglutaryl CoA reductase (HMG-CoAR), magnified the loss of dolichol and was associated with an increase in TBARS production. Changes in PL PUFA were minor. These findings highlight that oxidative stress has very early and similar effects on dolichol and lipid soluble antioxidants. Lower levels of dolichol are associated with enhanced peroxidation of lipids, which suggest that dolichol may have a protective role in the antioxidant machinery of cell membranes and perhaps be a key to understanding some adverse effects of statin therapy

Skin Lesions on Common Bottlenose Dolphins (Tursiops truncatus) from Three Sites in the Northwest Atlantic, USA

Skin disease occurs frequently in many cetacean species across the globe; methods to categorize lesions have relied on photo-identification (photo-id), stranding, and by-catch data. The current study used photo-id data from four sampling months during 2009 to estimate skin lesion prevalence and type occurring on bottlenose dolphins (Tursiops truncatus) from three sites along the southeast United States coast [Sarasota Bay, FL (SSB); near Brunswick and Sapelo Island, GA (BSG); and near Charleston, SC (CHS)]. The prevalence of lesions was highest among BSG dolphins (P = 0.587) and lowest in SSB (P = 0.380), and the overall prevalence was significantly different among all sites (p<0.0167). Logistic regression modeling revealed a significant reduction in the odds of lesion occurrence for increasing water temperatures (OR = 0.92; 95%CI:0.906–0.938) and a significantly increased odds of lesion occurrence for BSG dolphins (OR = 1.39; 95%CI:1.203–1.614). Approximately one-third of the lesioned dolphins from each site presented with multiple types, and population differences in lesion type occurrence were observed (p<0.05). Lesions on stranded dolphins were sampled to determine the etiology of different lesion types, which included three visually distinct samples positive for herpesvirus. Although generally considered non-fatal, skin disease may be indicative of animal health or exposure to anthropogenic or environmental threats, and photo-id data provide an efficient and cost-effective approach to document the occurrence of skin lesions in free-ranging populations

Improved identification of metabolites in complex mixtures using HSQC NMR spectroscopy

The automated and robust identification of metabolites in a complex biological sample remains one of the greatest challenges in metabolomics. In our experiments, HSQC carbon-proton correlation NMR data with a model that takes intensity information into account improves upon the identification of metabolites that was achieved using COSY proton-proton correlation NMR data with the binary model of [1]. In addition, using intensity information results in easier-to-interpret “grey areas” for cases where it is not clear if the compound might be present. We report on highly successful experiments that identify compounds in chemically defined mixtures as well as in biological samples, and compare our 2-dimensional HSQC analyses against quantification of metabolites in the corresponding 1-dimensional proton NMR spectra. We show that our approach successfully employs a fully automated algorithm for identifying the presence or absence of pre-defined compounds (held within a library) in biological HSQC spectra, and in addition calculates upper bounds on the compound intensities