The relevance of xenobiotic metabolism in the interindividual susceptibility to chemicals

Biotransformation enzymes may catalyze either detoxication or bioactivation reactions; indeed, many xenobiotics exert their toxic effects after metabolic activation to electrophilic chemicals, interacting with nucleophilic sites on cellular macromolecules. On the other hand, by increasing xenobiotic hydrophilicity, the drug-metabolizing enzymes favors excretion of lipophilic chemicals, not allowing their bioaccumulation up to toxic levels. The expression of the enzymes of the drug-metabolizing system is modulated by genetic, pathological, developmental, environmental and dietary factors. Genetic polymorphism resulting in interindividual and interethnic variation in xenobiotic metabolism is responsible for differences in the susceptibility to chemical-induced toxicity and carcinogenicity, allowing the identification of people at increased risk. Moreover, differences in drug metabolism may correspond to variability in drug response during pharmacological therapy, which can be manifest either as adverse reactions or as a lack of benefit.     

Annotated expressed sequence tags and xenobiotic detoxification in the aphid Myzus persicae （Sulzer）

Aphids （Hemiptera： Aphididae） are phytophagous insects that are important agricultural pests. The enormous negative economic impacts caused by aphids worldwide are well known, and are mostly due to their high multiplication rate and the transmission of phytopathogenic viruses. Aphid management strategies mainly involve chemical treatments which are pollutants and are increasingly inefficient, since aphids have developed multiple insecticide-resistant mechanisms. Among the most economically important species is the green peach aptfid Myzus persicae Sulzer （Aphididae： Macrosiphini）, which is able to colonize a wide range of host plants belonging to many different families, and transmits numerous plant viruses. Because of its large prevalence, M. persicae has been the target of massive insecticide treatments; consequently, it has evolved several insecticide-resistant mechanisms. In this work, a collection of expressed genes from M. persicae is presented in order to identify putative genes involved in xenobiotic detoxification. After cDNA cloning and sequencing, 959 expressed sequence tags （EST） were annotated. Most sequences matched known genes corresponded to metabolism proteins （26%）, ribosomal proteins （ 23 % ） and structural proteins （8%）. Among them, several sequences corresponded to proteins putatively involved in sensing, degradation or detoxification of plant xenobiotic products.     

Association of RBP4 Gene Variants and Serum HDL Cholesterol Levels in the Newfoundland Population

Retinol‐binding protein 4 (RBP4) is a novel adipokine that likely contributes to systemic insulin resistance and dyslipidemia. The role of genetic variations in RBP4 on phenotypes of glucose and lipid metabolism is not clear in humans. The purpose of this study was to examine five single‐nucleotide polymorphisms (SNPs) in the RBP4 gene to determine their relationship with markers of insulin resistance and serum lipids in the CODING Study. The CODING Study consists of 1,836 subjects recruited from the genetically homogeneous population of Newfoundland and Labrador (NL), Canada. Serum glucose, insulin, homeostasis model assessment of insulin resistance (HOMA_IR), HOMA for β cell function (HOMA_β), total cholesterol (Chol), high‐density lipoprotein cholesterol (HDL‐C), low‐density lipoprotein cholesterol (LDL‐C), and triglycerides were determined after a 12‐h fast. Five SNPs within RBP4 (rs3758539, G/A 5′ flanking region; rs61461737, A/G intron; rs10882280, C/A intron; rs11187545, A/G intron; and rs12265684, C/G intron) were genotyped using TaqMan validated or functionally tested SNP genotyping assays. After correcting for multiple testing, we observed a significant association between the minor allele of two noncoding SNPs (rs10882280 and rs11187545) and higher serum HDL‐C (P = 0.043 and 0.042, respectively). No significant associations were observed with any other parameter related to lipid metabolism. We also found no significant association between any variant sites and markers of insulin resistance. Our results suggest that genetic variations in RBP4 may play a role in the differences in serum HDL‐C levels in the NL population.     

Recombinant DNA approaches for the development of metabolic systems used in in vitro toxicology.

In the past few years there has been considerable progress in the development of mammalian cell systems for use in genetic toxicology by the stable transfer of genes/cDNAs coding for drug metabolizing enzymes directly into the target cell. Alternative approaches have also been developed in which mammalian cells are transiently transfected with cDNAs coding for drug-metabolizing enzymes and S9 preparations expressing a single metabolizing enzyme isolated and used for metabolic activation. Progress in these areas is reviewed here and the relative merits of the different approaches are discussed. Work to date has focused primarily on the cytochrome P450 family of enzymes, although other enzyme systems involved in xenobiotic metabolism have been used. The central theme of this review is the transfer of genetic information to improve the metabolic capability of cell systems used in genetic toxicology. However, a basic philosophy of the review is that genetic manipulation of cultured mammalian cells has the potential for developing systems to be used to better understand chemically induced toxicological effects.     

The 12‐15‐lipoxygenase is a modulator of Alzheimer's‐related tau pathology in vivo

12/15‐lipoxygenase (12‐15LO) is a lipid‐peroxidizing enzyme widely expressed in the central nervous system where it has been involved in the neurobiology of Alzheimer's disease (AD) because it modulates amyloid beta (Aβ) and APP processing. However, its biological effect on tau protein is unknown. We investigated the effect of 12‐15LO on tau levels and metabolism in vivo and in vitro and the mechanism involved by using genetic and pharmacologic approaches. While no significant differences were observed in the levels of total tau for both groups, compared with controls, Tg2576 mice overexpressing 12‐15LO had elevated levels of phosphorylated tau at two specific epitopes, Ser 202/Thr 205 and Ser 396. In vitro and in vivo studies show that 12‐15LO modulates tau metabolism specifically via the cdk5 kinase pathway. Associated with these changes were biochemical markers of synaptic pathology. Finally, 12‐15LO‐dependent alteration of tau metabolism was independent from an effect on Aβ. Our findings reveal a novel pathway by which 12‐15LO modulates endogenous tau metabolism making this protein an appealing pharmacologic target for treatment of AD and related tauopathies.     

Mitochondria,sex and variation in routine metabolic rate

Variation in the metabolic costs associated with organismal maintenance may play a key role in determining fitness, and thus these differences among individuals are likely to be subject to natural selection. Although the evolvability of maintenance metabolism depends on its underlying genetic architecture, relatively little is known about the nature of genetic variation that underlies this trait. To address this, we measured variation in routine metabolic rate (?O_2routine), an index of maintenance metabolism, within and among three populations of Atlantic killifish, Fundulus heteroclitus, including a population from a region of genetic admixture between two subspecies. Polygenic association tests among individuals from the admixed population identified 54 single nucleotide polymorphisms (SNPs) that were associated with ?O_2routine, and these SNPs accounted for 43% of interindividual variation in this trait. However, genetic associations with ?O_2routine involved different SNPs if females and males were analysed separately, and there was a sex‐dependent effect of mitochondrial genotype on variation in routine metabolism. These results imply that there are sex‐specific genetic mechanisms, and potential mitonuclear interactions, that underlie variation in ?O_2routine. Additionally, there was evidence for epistatic interactions between 17% of the possible pairs of trait‐associated SNPs, suggesting that epistatic effects on ?O_2routine are common. These data demonstrate not only that phenotypic variation in this ecologically important trait has a polygenic basis with considerable epistasis among loci, but also that these underlying genetic mechanisms, and particularly the role of mitochondrial genotype, may be sex‐specific.     

Improving Compound Quality through in vitro and in silico Physicochemical Profiling

Many compounds entering clinical studies do not survive the numerous hurdles for a good pharmacological lead to a drug on the market. The reasons for attrition have been widely studied which resulted in more early attention to compound quality related to physical chemistry, drug metabolism and pharmacokinetics (DMPK), and toxicology/safety. This paper will briefly review current physicochemical in vitro assays and in silico predictions to support compound and library design through to lead optimization. The most important physicochemical properties include lipophilicity (log P/D), pK_a, solubility, and permeability. These drive key ADMET properties such as absorption, cell penetration, access to the brain, volume of distribution, plasma protein binding, metabolism, and toxicity, as well as biopharmaceutical behavior. Much data are now available from medium‐ to high‐throughput physchem and ADMET in vitro assays, either in the public domain (see, e.g., PubChem, PubMed) or in drug companies' in‐house databases. Such data are increasingly being computer‐modelled and used in predictive chemistry. New pipelining technology makes it easier to build and update QSAR models so that such models can use the latest available data to produce robust local and global predictive in silico ADMET models.     

Metabolic reconstruction identifies strain‐specific regulation of virulence in Toxoplasma gondii

Increasingly, metabolic potential is proving to be a critical determinant governing a pathogen's virulence as well as its capacity to expand its host range. To understand the potential contribution of metabolism to strain‐specific infectivity differences, we present a constraint‐based metabolic model of the opportunistic parasite, Toxoplasma gondii. Dominated by three clonal strains (Type I, II, and III demonstrating distinct virulence profiles), T. gondii exhibits a remarkably broad host range. Integrating functional genomic data, our model (which we term as iCS382) reveals that observed strain‐specific differences in growth rates are driven by altered capacities for energy production. We further predict strain‐specific differences in drug susceptibilities and validate one of these predictions in a drug‐based assay, with a Type I strain demonstrating resistance to inhibitors that are effective against a Type II strain. We propose that these observed differences reflect an evolutionary strategy that allows the parasite to extend its host range, as well as result in a subsequent partitioning into discrete strains that display altered virulence profiles across different hosts, different organs, and even cell types.     

Recent Advances in Physicochemical and ADMET Profiling in Drug Discovery

The drastic increase in the cost for discovering and developing a new drug along with the high attrition rate of development candidates led to shifting drug‐discovery strategy to parallel assessment of comprehensive drug physicochemical, and absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties alongside efficacy. With the proposal of a profiling paradigm and utilization of integrated risk assessment, one can exponentially enhance the predictive power of in vitro tools by taking into consideration the interplay among profiling parameters. In particular, this article will review recent advances in accurate assessment of solubility and other physicochemical parameters. The proper interpretation of these experimental data is crucial for rapid and meaningful risk assessment and rational optimization of drug candidates in drug discovery. The impact of these tools on assisting drug‐discovery teams in establishing in vitro–in vivo correlation (IVIVC) as well as structure–property relationship (SPR) will be presented.     

Chemogenomics and orthology‐based design of antibiotic combination therapies

Combination antibiotic therapies are being increasingly used in the clinic to enhance potency and counter drug resistance. However, the large search space of candidate drugs and dosage regimes makes the identification of effective combinations highly challenging. Here, we present a computational approach called INDIGO, which uses chemogenomics data to predict antibiotic combinations that interact synergistically or antagonistically in inhibiting bacterial growth. INDIGO quantifies the influence of individual chemical–genetic interactions on synergy and antagonism and significantly outperforms existing approaches based on experimental evaluation of novel predictions in Escherichia coli. Our analysis revealed a core set of genes and pathways (e.g. central metabolism) that are predictive of antibiotic interactions. By identifying the interactions that are associated with orthologous genes, we successfully estimated drug‐interaction outcomes in the bacterial pathogens Mycobacterium tuberculosis and Staphylococcus aureus, using the E. coli INDIGO model. INDIGO thus enables the discovery of effective combination therapies in less‐studied pathogens by leveraging chemogenomics data in model organisms.     

Diacylglycerol lipase regulates lifespan and oxidative stress response by inversely modulating TOR signaling in Drosophila and C. elegans

Target of rapamycin (TOR) signaling is a nutrient‐sensing pathway controlling metabolism and lifespan. Although TOR signaling can be activated by a metabolite of diacylglycerol (DAG), phosphatidic acid (PA), the precise genetic mechanism through which DAG metabolism influences lifespan remains unknown. DAG is metabolized to either PA via the action of DAG kinase or 2‐arachidonoyl‐sn‐glycerol by diacylglycerol lipase (DAGL). Here, we report that in Drosophila and Caenorhabditis elegans, overexpression of diacylglycerol lipase (DAGL/inaE/dagl‐1) or knockdown of diacylglycerol kinase (DGK/rdgA/dgk‐5) extends lifespan and enhances response to oxidative stress. Phosphorylated S6 kinase (p‐S6K) levels are reduced following these manipulations, implying the involvement of TOR signaling. Conversely, DAGL/inaE/dagl‐1 mutants exhibit shortened lifespan, reduced tolerance to oxidative stress, and elevated levels of p‐S6K. Additional results from genetic interaction studies are consistent with the hypothesis that DAG metabolism interacts with TOR and S6K signaling to affect longevity and oxidative stress resistance. These findings highlight conserved metabolic and genetic pathways that regulate aging.     

Systemic multicompartmental effects of the gut microbiome on mouse metabolic phenotypes

To characterize the impact of gut microbiota on host metabolism, we investigated the multicompartmental metabolic profiles of a conventional mouse strain (C3H/HeJ) (n=5) and its germ‐free (GF) equivalent (n=5). We confirm that the microbiome strongly impacts on the metabolism of bile acids through the enterohepatic cycle and gut metabolism (higher levels of phosphocholine and glycine in GF liver and marked higher levels of bile acids in three gut compartments). Furthermore we demonstrate that (1) well‐defined metabolic differences exist in all examined compartments between the metabotypes of GF and conventional mice: bacterial co‐metabolic products such as hippurate (urine) and 5‐aminovalerate (colon epithelium) were found at reduced concentrations, whereas raffinose was only detected in GF colonic profiles. (2) The microbiome also influences kidney homeostasis with elevated levels of key cell volume regulators (betaine, choline, myo‐inositol and so on) observed in GF kidneys. (3) Gut microbiota modulate metabotype expression at both local (gut) and global (biofluids, kidney, liver) system levels and hence influence the responses to a variety of dietary modulation and drug exposures relevant to personalized health‐care investigations.     

In vitro studies of the influence of glutathione transferases and epoxide hydrolase on the detoxification of acrylamide and glycidamide in blood

Enzymes involved in the metabolism of xenobiotic substances are often polymorphic in humans. Such genetic polymorphisms may result in inter-individual differences in detoxification of certain chemicals, and as a consequence, possibly affect health-risk assessments. This present work concerns studies of the influence of polymorphic enzymes in the detoxification of acrylamide and its metabolite glycidamide. Enzymes that enhance conjugation with glutathione (GSH), the glutathione transferases (GSTs), may influence the detoxification of both acrylamide and glycidamide, whereas the enzyme epoxide hydrolase (EH) should only catalyse the hydrolysis of glycidamide. In this study, the doses of acrylamide or glycidamide measured as specific adducts to hemoglobin (Hb) were analysed in blood samples after in vitro incubation with these compounds. Blood samples from individuals with different genotypes for GSTT1 and GSTM1 were studied. No significant differences in adduct levels depending on genotype were noted. In a parallel experiment, incubation with ethylene oxide was used as positive control. In this experiment individuals carrying GSTT1 showed lower adduct level increments from ethylene oxide than individuals lacking GSTT1. Furthermore, addition of ethacrynic acid or laurylamine, compounds which inhibit GST and EH, respectively, did not affect the adduct levels. These results suggest that neither GSTs nor EH have any significant effect on the blood dose, measured as Hb-adducts over time, after exposure to acrylamide or glycidamide.     

孕烷X受体的研究进展

核受体是一类高度保守的配体依赖性转录因子家族,在哺乳动物发育、繁殖、免疫应答、心血管功能、组织生长、肿瘤形成、外源物清除及糖类和脂质代谢等生理过程中发挥重要作用。机体对外源物质的清除主要是由孕烷X受体等核受雄介导的。孕烷X受体最早是作为外源物感受器而被研究的,可以被大多数亲脂性药物等外源性化合物及一些内源性化合物如胆汁酸等结构差异很大的配体激活,进而与视黄醇类X受体等形成异源二聚体,结合在ER6、XREM等DNA元件上,调控下游靶基因（包括一相代谢酶、二相结合酶及药物转运体等基因）的表达。此外,孕烷X受体在能量代谢和免疫反应中也有重要作用,参与某些代谢疾病的发生发展,且已在动物模型中被证明是Ⅱ型糖尿病、血脂异常、肥胖症和动脉粥样硬化等代谢疾病治疗的有效靶标。我们主要就其发现、结构、组织分布、作用方式、自身表达的调节等方面的最新研究进行综述。     

Inhibition effects of pesticides on glutathione‐S‐transferase enzyme activity of Van Lake fish liver

Glutathione‐S‐transferases (GSTs) have a function in xenobiotic metabolism. They are a significant multifunctional family with a wide variety of catalytic activities. In the current study, we determined in vitro inhibition effects of 2,4‐dichlorophenoxyacetic acid dimethylamine salt (2,4‐D DMA), haloxyfop‐P‐methyl, glyphosate isopropylamine, dichlorvos, and λ‐cyhalothrin on purified GST. For this purpose, GST were purified from Van Lake fish (Chalcalburnus tarichii Pallas) liver with 29.25 EU mg^?1 specific activity and 10.76% yield using GSH–agarose affinity chromatographic method. The pesticides were tested at various concentrations on in vitro GST activity. K_i constants were calculated as 0.17 ± 0.01, 0.25 ± 0.05, 3.72 ± 0.32, 0.42 ± 0.06, and 0.025 ± 0.004 mM, for 2,4‐D DMA, haloxyfop‐P‐methyl, glyphosate isopropylamine, dichlorvos, and λ‐cyhalothrin, respectively. λ‐Cyhalothrin showed a better inhibitory effect compared to the other pesticides. The inhibition mechanisms of λ‐cyhalothrin were competitive, while the other pesticides were noncompetitive.     

Enzyme kinetic and molecular modelling studies of sulphur-containing substrates of phenylalanine 4-monooxygenase

Previous investigations into the binding of substrates/cofactors to the PAH active site have only concentrated on Phe, thienylalanine and BH₄. This is the first reported investigation to model aliphatic thioether amino acid substrates to PAH. The clearance of the thioether substrates (4.82-79.09% of Phe) in the rat and human (1.19-37.41% of Phe) showed species differences. The xenobiotic thioether substrates (SMC and SCMC) were predicted to be poor substrates for PAH by the molecular modelling investigation and this has now been confirmed by the in vitro enzyme kinetic data. However, reaction phenotyping investigations have found that PAH was the major enzyme involved in the metabolism of SCMC in vitro and in vivo.     

Sequential interactions of silver–silica nanocomposite (Ag–SiO2NC) with cell wall,metabolism and genetic stability of Pseudomonas aeruginosa,a multiple antibiotic‐resistant bacterium

The study was carried out to understand the effect of silver–silica nanocomposite (Ag–SiO₂NC) on the cell wall integrity, metabolism and genetic stability of Pseudomonas aeruginosa, a multiple drug‐resistant bacterium. Bacterial sensitivity towards antibiotics and Ag–SiO₂NC was studied using standard disc diffusion and death rate assay, respectively. The effect of Ag–SiO₂NC on cell wall integrity was monitored using SDS assay and fatty acid profile analysis, while the effect on metabolism and genetic stability was assayed microscopically, using CTC viability staining and comet assay, respectively. Pseudomonas aeruginosa was found to be resistant to β‐lactamase, glycopeptidase, sulfonamide, quinolones, nitrofurantoin and macrolides classes of antibiotics. Complete mortality of the bacterium was achieved with 80 μg ml^?1 concentration of Ag–SiO₂NC. The cell wall integrity reduced with increasing time and reached a plateau of 70% in 110 min. Changes were also noticed in the proportion of fatty acids after the treatment. Inside the cytoplasm, a complete inhibition of electron transport system was achieved with 100 μg ml^?1 Ag–SiO₂NC, followed by DNA breakage. The study thus demonstrates that Ag–SiO₂NC invades the cytoplasm of the multiple drug‐resistant P. aeruginosa by impinging upon the cell wall integrity and kills the cells by interfering with electron transport chain and the genetic stability.

Significance and Impact of Study

Although the synthesis, structural characteristics and biofunction of silver nanoparticles are well understood, their application in antimicrobial therapy is still at its infancy as only a small number of microorganisms are tested to be sensitive to nanoparticles. A thorough knowledge of the mode of interaction of nanoparticles with bacteria at subcellular level is mandatory for any clinical application. The present study deals with the interactions of Ag–SiO2NC with the cell wall integrity, metabolism and genetic stability of Pseudomonas aeruginosa, which would contribute substantially in strengthening the therapeutic applications of silver nanoparticles.     

Xenobiotic receptor meets NF-kappaB, a collision in the small bowel

It has long been appreciated that inflammation and infection reduce drug metabolism and that exposure to drug metabolism-inducing xenobiotics can impair immune function. A new study reveals the mutual repression between the xenobiotic nuclear receptor PXR/SXR and NF-kappaB signaling pathways, providing a molecular mechanism linking xenobiotic metabolism and inflammation (Zhou et al.,).