Identification of Mid-Polar and Polar AhR Agonists in Cetaceans from Korean Coastal Waters: Application of Effect-Directed Analysis with Full-Scan Screening.

Major aryl hydrocarbon receptor (AhR) agonists were identified in extracts of blubber, liver, and muscle from six long-beaked common dolphins (Delphinus capensis) and one fin whale (Balaenoptera physalus) collected from Korean coastal waters using effect-directed analysis. Results of the H4IIE-luc bioassay indicated that the polar fractions of blubber and liver extracts from the fin whale exhibited relatively high AhR-mediated potencies. Based on full-scan screening with high-resolution mass spectrometry, 37 AhR agonist candidates, spanning four use categories: pharmaceuticals, pesticides, cosmetics, and natural products, were selected. Among these, five polar AhR agonists were newly identified through toxicological confirmation. Concentrations of polar AhR agonists in cetaceans were tissue-specific, with extracts of blubber and liver containing greater concentrations than muscle extracts. Polar AhR agonists with great log KOA values (>5) were found to biomagnify in the marine food chain potentially. Polar AhR agonists contributed 8.9% of the observed AhR-mediated potencies in blubber and 49% in liver. Rutaecarpine and alantolactone contributed significantly to the total AhR-mediated potencies of blubber, whereas hydrocortisone was a major AhR contributor in the liver of the fin whale. This study is the first to identify the tissue-specific accumulation of polar AhR agonists in blubber and liver extracts of cetaceans.

Shotgun Lipidomics Approach to Stabilize the Regiospecificity of Monoglycerides Using a Facile Low-Temperature Derivatization Enabling Their Definitive Identification and Quantitation.

Monoglycerides play a central role in lipid metabolism and are important signaling metabolites. Quantitative analysis of monoglyceride molecular species has remained challenging due to rapid isomerization via α-hydroxy acyl migration. Herein, we describe a shotgun lipidomics approach that utilizes a single-phase methyl tert-butyl ether extraction to minimize acyl migration, a facile low temperature diacetyl derivatization to stabilize regiospecificity, and tandem mass spectrometric analysis to identify and quantify regioisomers of monoglycerides in biological samples. The rapid and robust diacetyl derivatization at low temperatures (e.g., -20 °C, 30 min) prevents postextraction acyl migration and preserves regiospecificity of monoglyceride structural isomers. Furthermore, ionization of ammonium adducts of diacetyl monoglyceride derivatives in positive-ion mode markedly increases analytic sensitivity (low fmol/µL). Critically, diacetyl derivatization enables the differentiation of discrete monoglyceride regioisomers without chromatography through their distinct signature fragmentation patterns during collision induced dissociation. The application of this approach in the analysis of monoglycerides in multiple biologic tissues demonstrated diverse profiles of molecular species. Remarkably, the regiospecificity of individual monoglyceride molecular species is also diverse from tissue to tissue. Collectively, this developed approach enables the profiling, identification and quantitation of monoglyceride regioisomers directly from tissue extracts.

Toxic Identification and Evaluation of Androgen Receptor Antagonistic Activities in Acid-Treated Liver Extracts of High-Trophic Level Wild Animals from Japan.

Sulfuric acid-treated liver extracts of representative high-trophic level Japanese animals were analyzed by toxic identification and evaluation (TIE) with chemically activated luciferase expression (CALUX) and chemical analysis to elucidate androgen receptor (AR) antagonistic activities and potential contributions of organochlorine pesticides (OCPs) and polychlorinated biphenyls (PCBs). The activities were detected in striped dolphins (n = 5), Stejneger's beaked whales (n = 6), golden eagle (n = 1), and Steller's sea eagle (n = 1) with CALUX-flutamide equivalents (FluEQs) as follow: 38 (20-52), 47 (21-96), 5.0, and 80 µg FluEQ/g-lipid, respectively. The AR antagonism was detected in limited number of specimens at lower levels for finless porpoise, raccoon dog, and common cormorant. Theoretical activities (Theo-FluEQs) were calculated using the concentration of OCPs and PCBs and their IC25-based relative potency (REP) values. These total contribution to CALUX-FluEQ was 126%, 84%, 53%, 55%, and 44% for striped dolphin, Steller's sea eagle, Stejneger's beaked whale, finless porpoise, and golden eagle, respectively, and the main contributor was p,p'-DDE. However, most of the activities for raccoon dog (7.6%) and common cormorant (17%) could not be explained by OCPs and PCBs. This suggests other unknown compounds could function as AR antagonists in these terrestrial species.

Data dependent peak model based spectrum deconvolution for analysis of high resolution LC-MS data.

A data dependent peak model (DDPM) based spectrum deconvolution method was developed for analysis of high resolution LC-MS data. To construct the selected ion chromatogram (XIC), a clustering method, the density based spatial clustering of applications with noise (DBSCAN), is applied to all m/z values of an LC-MS data set to group the m/z values into each XIC. The DBSCAN constructs XICs without the need for a user defined m/z variation window. After the XIC construction, the peaks of molecular ions in each XIC are detected using both the first and the second derivative tests, followed by an optimized chromatographic peak model selection method for peak deconvolution. A total of six chromatographic peak models are considered, including Gaussian, log-normal, Poisson, gamma, exponentially modified Gaussian, and hybrid of exponential and Gaussian models. The abundant nonoverlapping peaks are chosen to find the optimal peak models that are both data- and retention-time-dependent. Analysis of 18 spiked-in LC-MS data demonstrates that the proposed DDPM spectrum deconvolution method outperforms the traditional method. On average, the DDPM approach not only detected 58 more chromatographic peaks from each of the testing LC-MS data but also improved the retention time and peak area 3% and 6%, respectively.

Characterization and quantification of diacylglycerol species in biological extracts after one-step derivatization: a shotgun lipidomics approach.

Diacylglycerols (DAGs) are important intermediates of lipid metabolism and cellular signaling. It is well-known that the mass levels of DAG are altered under disease states. Therefore, quantitative analysis of DAGs in biological samples can provide critical information to uncover underlying mechanisms of various cellular functional disorders. Although great efforts on the analysis of individual DAG species have recently been made by utilizing mass spectrometry with or without derivatization, cost-effective and high throughput methodologies for identification and quantification of all DAG species including regioisomers, particularly in an approach of shotgun lipidomics, are still missing. Herein, we described a novel method for directly identifying and quantifying DAG species including regioisomers present in lipid extracts of biological samples after facile one-step derivatization with dimethylglycine based on the principles of multidimensional mass spectrometry-based shotgun lipidomics. The established method provided substantial sensitivity (low limit of quantification at amol/µL), high specificity, and broad linear dynamics range (2500-fold) without matrix effects. By exploiting this novel method, we revealed a 16-fold increase of total DAG mass in the livers of ob/ob mice compared to their wild type controls at 4 months of age (an insulin-resistant state) versus a 5-fold difference between 3 month old mice (with normal insulin). These results demonstrated the importance and power of the method for studying biochemical mechanisms underpinning disease states.

Endogenous and xenobiotic metabolite profiling of liver extracts from SCID and chimeric humanized mice following repeated oral administration of troglitazone.

1. Metabonomic analysis, via a combination of untargeted and targeted liquid chromatography-mass spectrometry (LC-MS) and untargeted (1)H NMR spectroscopy-based metabolite profiling, was performed on aqueous (AQ) and organic liver extracts from control (SCID) and chimeric humanized (PXB) mice dosed with troglitazone at 0, 300 and 600 mg/kg/day for seven days. 2. LC-MS analysis of AQ liver extracts showed a more "human-like" profile for troglitazone metabolites for PXB, compared with SCID, mice. 3. LC-MS detected differences in endogenous metabolites, particularly lipid species in dosed mice, including elevated triacylglycerols and 1-alkyl,2-acylglycerophosphates as well as lowered diacylglycerophosphocholines and 1-alkyl,2-acylglycerophosphocholines for PXB compared with SCID mouse liver extracts. Following drug administration changes in the relative proportions of the ions for various unsaturated fatty acids were observed for both types of mouse, some of which were specific to PXB or SCID mice. 4. (1)H NMR spectroscopy revealed that AQ PXB mouse liver extracts had elevated amounts of inosine, fumarate, creatine, aspartate, trimethylamine N-oxide, glycerophosphocholine, phosphocholine, choline, glutamine, glutamate, acetate, alanine and lactate relative to SCID mice and decreased histidine, glycogen, α- and ß-glucose, taurine, and glutathione. Increased uracil and tyrosine concentrations were detected for PXB mice on troglitazone administration. 5. Metabonomic profiling thus showed clear differences between humanized and SCID mice, including after administration of troglitazone.

Fatal metformin intoxication with markedly elevated blood and liver concentrations.

The highest postmortem metformin concentrations are recorded utilizing a sensitive and specific analytical procedure. The peripheral blood metformin concentration was 240 mg/L, the liver concentration was 240 mg/kg and the gastric concentration was 1,700 mg. Additionally, an antemortem blood sample collected shortly after admission revealed a metformin concentration of 210 mg/L. These data, revealing a liver to peripheral blood ratio of 1.0, provide additional support that metformin is not subject to postmortem redistribution. Intentional self-poisonings with metformin can result in death, despite multiple medical interventions.

1H NMR-based metabonomic analysis of metabolic changes in streptozotocin-induced diabetic rats.

Diabetes mellitus is a complex metabolic disorder characterized by chronic hyperglycemia, hypoinsulinemia, and ketosis. To access the biochemical process of diabetes, we applied quantitative (1)H NMR-based metabonomics to analyze urine, serum, and liver extracts from streptozotocin-induced diabetic rats. Principle component analysis (PCA) of (1)H NMR spectra disclosed metabolic pattern differences between diabetic and control rats, and identified the related metabolic changes. The PCA scores plot demonstrated that the diabetic group could be distinguished from the control group, indicating that the metabolic characteristics of the two groups were markedly different. Our work reveals the accumulation of triglycerides, fatty acids and acetoacetate in diabetic rats, and may provide an efficient, convenient way for evaluating the pathological state and biochemical process of diabetes mellitus.

Simultaneous determination of rosiglitazone and its metabolites in rat liver microsomal fraction using hollow-fiber liquid-phase microextraction for sample preparation.

A three-phase hollow-fiber liquid-phase microextraction method for the analysis of rosiglitazone and its metabolites N-desmethyl rosiglitazone and ρ-hydroxy rosiglitazone in microsomal preparations is described for the first time. The drug and metabolites HPLC determination was carried out using an X-Terra RP-18 column, at 22°C. The mobile phase was composed of water, acetonitrile and acetic acid (85:15:0.5, v/v/v) and the detection was performed at 245 nm. The hollow-fiber liquid-phase microextraction procedure was optimized using multifactorial experiments and the following optimal condition was established: sample agitation at 1750 rpm, extraction for 30 min, hydrochloric acid 0.01 mol/L as acceptor phase, 1-octanol as organic phase, and donor phase pH adjustment to 8.0. The recovery rates, obtained by using 1 mL of microsomal preparation, were 47-70%. The method presented LOQs of 50 ng/mL and it was linear over the concentration range of 50-6000 ng/mL, with correlation coefficients (r) higher than 0.9960, for all analytes. The validated method was employed to study the in vitro biotransformation of rosiglitazone using rat liver microsomal fraction.

Identification and analysis of alpha1,6-fucosylated proteins in human normal liver tissues by a target glycoproteomic approach.

alpha1,6-Fucose residues within the N-glycan core structures were commonly observed in many glycoproteins. Our previous studies showed that aberrantly alpha1,6-fucosylated glycoproteins might be associated with metastasis of hepatocellular carcinoma (HCC). Little is known about human normal liver tissues (HNLTs) in the literatures. In this study, a target glycoproteomic approach which consists of lectin-affinity chromatography, 2-DE, protein immunoprecipitation and lectin blot, and MALDI-MS/MS, was utilized to screen physiologically alpha1,6-fucosylated glycoproteins. Lens culinaris agglutinin (LCA)-affinity glycoprotein profiles of HNLT were established and analyzed, which allowed identification of 53 proteins by MS analysis, including haptoglobin precursor, alpha-enolase, etc. Gene ontology (GO) annotation proved that these proteins distribute predominately in organelle and play crucial roles in binding and catalytic reactions. The present methodology enabled the identification of all the specific subsets of glycoprotein, and the corresponding data could contribute to the finding of more aberrantly alpha1,6-fucosylated glycoproteins related to liver diseases.

A fully automated 2-D LC-MS method utilizing online continuous pH and RP gradients for global proteome analysis.

The conventional 2-D LC-MS/MS setup for global proteome analysis was based on online and offline salt gradients (step and continuous) using strong-cation-exchange chromatography in conjunction with RP chromatography and MS. The use of the online system with step salt elution had the possibility of resulting in peptide overlapping across fractions. The offline mode had the option to operate with continuous salt gradient to decrease peak overlap, but exhibited decreased robustness, lower reproducibility, and sample loss during the process. Due to the extensive washing requirement between the chromatography steps, online continuous gradient was not an option for salt elution. In this report, a fully automated, online, and continuous gradient (pH continuous online gradient, pCOG) 2-D LC-MS/MS system is introduced that provided excellent separation and identification power. The pH gradient-based elution provided more basic peptides than that of salt-based elution. Fraction overlap was significantly minimized by combining pH and continuous gradient elutions. This latter approach also increased sequence coverage and the concomitant confidence level in protein identification. The salt and pH elution-based 2-D LC-MS/MS approaches were compared by analyzing the mouse liver proteome.

Evaluation of strategy for analyzing mouse liver plasma membrane proteome.

Plasma membrane (PM) proteome is one of the major subproteomes present in the cell, and is very important in liver function. In the present work, C57 mouse liver PM was purified by density-gradient centrifugation. The purified PM was verified by electron microscope analysis and Western blotting. The results showed that the PM was enriched by more than 20-fold and the contamination of mitochondria was reduced by 2-fold compared with the homogenization fraction. Proteins were separated by 2DE and 1DE, trypsin-digested and submitted to ESI-Q-TOF and MALDI-TOF-TOF mass spectrometry or directly digested in solution and analyzed by LC-ESI ion trap mass spectrometry. In all, 547 non-redundant mouse liver PM proteins were identified, of which 34% contributed to plasma membrane or plasma membrane-related proteins. This study optimized and evaluated the HLPP plasma membrane proteome analysis method and made a systematic analysis on PM proteome.

Histological progression of non-alcoholic fatty liver disease: a critical reassessment based on liver sampling variability.

BACKGROUND: In non-alcoholic fatty liver disease, histological lesions display a significant sampling variability that is ignored when interpreting histological progression during natural history or therapeutic interventions. AIM: To provide a method taking into account sampling variability when interpreting crude histological data, and to investigate how this alters the conclusions of available studies. METHODS: Natural history studies detailing histological progression and therapeutic trials were compared with the results of a previously published sampling variability study. RESULTS: Natural history studies showed an improvement in steatosis, which was significantly higher than expected from sampling variability (47% vs. 8%, P < 0.0001). In contrast, no study showed a change in activity grade or ballooning higher than that of sampling variability. There was only a marginal effect on fibrosis with no convincing demonstration of a worsening of fibrosis, a conclusion contrary to what individual studies have claimed. Some insulin sensitizing drugs and anti-obesity surgery significantly improved steatosis, while most did not significantly impact on fibrosis or activity. CONCLUSIONS: Sampling variability of liver biopsy is an overlooked confounding factor that should be considered systematically when interpreting histological progression in patients with non-alcoholic fatty liver disease.

Analysis of the mouse liver proteome using advanced mass spectrometry.

We report a large-scale analysis of mouse liver tissue comprising a novel fractionation approach and high-accuracy mass spectrometry techniques. Two fractions enriched for soluble and membrane proteins from 20 mg of frozen tissue were separated by one-dimensional electrophoresis followed by LC-MS/MS on the hybrid linear ion trap (LTQ)-Orbitrap mass spectrometer. Confident identification of 2210 proteins relied on at least two peptides. We combined this proteome with our previously reported organellar map (Foster et al. Cell 2006, 125, 187-199) to generate a very high confidence mouse liver proteome of 3244 proteins. The identified proteins represent the liver proteome with no discernible bias due to protein physicochemical properties, subcellular distribution, or biological function. Forty-seven percent of identified proteins were annotated as membrane-bound, and for 35.3%, transmembrane domains were predicted. For potential application in toxicology or clinical studies, we demonstrate that it is possible to consistently identify more than 1000 proteins in a single run.

Improved method for proteome mapping of the liver by 2-DE MALDI-TOF MS.

Identifying the liver proteome has been the subject of intensified research. Notably, due to their strong heterogeneity in size, charge, solubility, and relative abundance, different strategies of pre-fractionation must be employed to increase the number of identifiable proteins. In our efforts, we used two different lysis buffers in sequence, a liquid-phase IEF pre-fractionation and separation of protein mixtures at three different pH ranges (3-10, 5-8, and 7-10). Then, >15 000 gel digested proteins were investigated. We report an identification of 590 different gene products, including some isoforms. More than 150 proteins have not been reported so far by two-dimensional electrophoresis (2-DE) proteome mapping. We further studied the transcript expression of more than 33 000 genes in rat liver to explore correlations between transcript and protein expression. Overall, we report a method for the separation of rat liver proteins and their identification by mass spectrometry. The newly identified proteins will enable an improved understanding of liver biology.

Comparison of 2-D LC and 3-D LC with post- and pre-tryptic-digestion SEC fractionation for proteome analysis of normal human liver tissue.

The current "shotgun" proteomic analysis, strong cation exchange-RPLC-MS/MS system, is a widely used method for proteome research. Currently, it is not suitable for complicated protein sample analysis, like mammal tissues or cells. To increase the protein identification confidence and number, an additional separation dimension for sample fractionation is necessary to be coupled prior to current multi-dimensional protein identification technology (MudPIT). In this work, SEC was elaborately selected and applied for sample prefractionation in consideration of its non-bias against sample and variety of choice of mobile phases. The analysis of the global lysate of normal human liver tissue sample provided by the China Human Liver Proteome Project, were performed to compare the proteome coverage, sequence coverage (peptide per protein identification) and protein identification efficiency in MudPIT, 3-D LC-MS/MS identification strategy with preproteolytic and postproteolytic fractionation. It was demonstrated that 3-D LC-MS/MS utilizing protein level fractionation was the most effective method. A MASCOT search using the MS/MS results acquired by QSTAR(XL) identified 1622 proteins from 3-D LC-MS/MS identification approaches. A primary analysis on molecular weight, pI and grand average hydrophobicity value distribution of the identified proteins in different approaches was made to further evaluate the 3-D LC-MS/MS analysis strategy.

Proteomic analysis of SET-binding proteins.

The protein SET is involved in essential cell processes such as chromatin remodeling, apoptosis and cell cycle progression. It also plays a critical role in cell transformation and tumorogenesis. With the aim to study new SET functions we have developed a system to identify SET-binding proteins by combining affinity chromatography, MS, and functional studies. We prepared SET affinity chromatography columns by coupling the protein to activated Sepharose 4B. The proteins from mouse liver lysates that bind to the SET affinity columns were resolved with 2-DE and identified by MS using a MALDI-TOF. This experimental approach allowed the recognition of a number of SET-binding proteins which have been classified in functional clusters. The identification of four of these proteins (CK2, eIF2alpha, glycogen phosphorylase (GP), and TCP1-beta) was confirmed by Western blotting and their in vivo interactions with SET were demonstrated by immunoprecipitation. Functional experiments revealed that SET is a substrate of CK2 in vitro and that SET interacts with the active form of GP but not with its inactive form. These data confirm this proteomic approach as a useful tool for identifying new protein-protein interactions.

Determination of five 4-hydroxycoumarin rodenticides in animal liver tissues by ion chromatography with fluorescence detection.

A novel analytical method is proposed for rapid simultaneous determination of five 4-hydroxycoumarin rodenticides in animal liver tissues by eluent generator reagent free ion chromatography (RFIC) with fluorescence detection. Rodenticides were initially extracted from homogenized animal liver tissues with ethyl acetate and the extracts subjected to a solid-phase extraction process using Oasis HLB cartridges. The IC separation was carried out on an IonPac AS11 analytical column (250 mm x 4.0 mm) using gradient KOH containing 10% acetonitrile as organic modifier at a constant flow rate of 1.0 mL/min. The analytes were detected by fluorescence at an excitation wavelength of 270 nm and an emission wavelength of 380 nm. The average recoveries of the objective compounds spiked in animal liver tissues were between 81% and 98%. The limits of quantification (LOQs) were 0.004-0.010 mg/kg for them. Within-day and day-to-day relative standard deviations (RSD) were less than 8.5% and 9.7%, respectively. It was confirmed that this method could be used in a toxicological analysis.

Simultaneous detection of molecular weight and activity of adenylate kinases after electrophoretic separation.

Adenylate kinases (AKs) are ubiquitous monomeric phosphotransferases catalyzing the reversible reaction, AMP + MgATP = ADP + MgADP, which plays a pivotal role in the energetic metabolism. In vertebrates, six AK isoforms are known. In this work, we report the detection of many AK isoforms directly on gel or NC after separation by denaturing electrophoresis and electroblotting, by an optimized protocol for the enzyme detection. The method allows to clarify the apparent MW of most of those AK isozymes that follow the cited reaction, especially onto NC where bands are sharper due to the absence of protein diffusion. In contrast, GTP:AMP phosphotransferases are not detectable. AK activity from many sources can be detected in both its reaction courses; ATP production appears as dark-blue bands, while ADP formation appears as nonfluorescent bands over a fluorescent background, under long-wavelength UV light. We show that nondenaturing gel electrophoresis is not the first choice for AK activity detection. Our method is different from the preceding reports on AK activity detection in bacteria after native polyacrylamide gel separations, in the absence of SDS or methanol. The procedure is also quantitative, allowing to determine the amount of enzyme present in samples.

Proteomic profiles of induced hepatotoxicity at the subcellular level.

In the present study proteomes of liver samples were analyzed after administration of phenobarbital (PB) or 3-methylcholantrene (3-MC) to mice. Liver cell homogenates were subfractionated by differential ultracentrifugation into cytosol and microsomes, which were subjected to 2-DE to generate the proteomic maps of these fractions. 2-DE yielded 1100 and 800 protein spots for microsomes and cytosol, respectively. General trends of the fraction-specific alterations after 3-MC or PB treatment were evaluated using the Student's t-test and the principal component analysis (PCA). According to the PCA-derived data, the microsomal changes after 3-MC and PB treatment were quite similar. However, in the case of the cytosol data, the specificities of 3-MC- and PB-induced responses could be clearly distinguished from each other. Protein spots, whose expression levels differed from control, were identified by MALDI-TOF PMF. Proteomic studies such as those reported herein can be useful in identifying the molecular-based toxicity of lead drug candidates.