The role of the circadian timing system on drug metabolism and detoxification: an update.

INTRODUCTION: The 24-hour variations in drug absorption, distribution, metabolism, and elimination, collectively known as pharmacokinetics, are fundamentally influenced by rhythmic physiological processes regulated by the molecular clock. Recent advances have elucidated the intricacies of the circadian timing system and the molecular interplay between biological clocks, enzymes and transporters in preclinical level. AREA COVERED: Circadian rhythm of the drug metabolizing enzymes and carrier efflux functions possess a major role for drug metabolism and detoxification. The efflux and metabolism function of intestines and liver seems important. The investigations revealed that the ABC and SLC transporter families, along with cytochrome p-450 systems in the intestine, liver, and kidney, play a dominant role in the circadian detoxification of drugs. Additionally, the circadian control of efflux by the blood-brain barrier is also discussed. EXPERT OPINION: The influence of the circadian timing system on drug pharmacokinetics significantly impacts the efficacy, adverse effects, and toxicity profiles of various drugs. Moreover, the emergence of sex-related circadian changes in the metabolism and detoxification processes has underscored the importance of considering gender-specific differences in drug tolerability and pharmacology. A better understanding of coupling between central clock and circadian metabolism/transport contributes to the development of more rational drug utilization and the implementation of chronotherapy applications.

Human CRY1 variants associate with attention deficit/hyperactivity disorder.

Attention deficit/hyperactivity disorder (ADHD) is a common and heritable phenotype frequently accompanied by insomnia, anxiety, and depression. Here, using a reverse phenotyping approach, we report heterozygous coding variations in the core circadian clock gene cryptochrome 1 in 15 unrelated multigenerational families with combined ADHD and insomnia. The variants led to functional alterations in the circadian molecular rhythms, providing a mechanistic link to the behavioral symptoms. One variant, CRY1Δ11 c.1657+3A>C, is present in approximately 1% of Europeans, therefore standing out as a diagnostic and therapeutic marker. We showed by exome sequencing in an independent cohort of patients with combined ADHD and insomnia that 8 of 62 patients and 0 of 369 controls carried CRY1Δ11. Also, we identified a variant, CRY1Δ6 c.825+1G>A, that shows reduced affinity for BMAL1/CLOCK and causes an arrhythmic phenotype. Genotype-phenotype correlation analysis revealed that this variant segregated with ADHD and delayed sleep phase disorder (DSPD) in the affected family. Finally, we found in a phenome-wide association study involving 9438 unrelated adult Europeans that CRY1Δ11 was associated with major depressive disorder, insomnia, and anxiety. These results defined a distinctive group of circadian psychiatric phenotypes that we propose to designate as "circiatric" disorders.

New biocompatible antibacterial wound dressing candidates; agar-locust bean gum and agar-salep films.

Agar has numerous applications in biomedical and biopharmaceutical fields in gel form. However the hard and tough nature of agar films and their vulnerability to microbial attacks prevent their usage in wound dressing applications. In this work, agar - locust bean gum (LBG) and agar - salep films were prepared for the first time to improve its physical, antimicrobial and cell viability properties. LBG and salep incorporated films resulted in higher antimicrobial and cell viability properties than agar films, which are very important in wound dressing applications. Agar - LBG films had higher water vapor permeabilities and were insoluble in water and in phosphate buffer solutions. Salep incorporation resulted in lower water vapor permeability and films were soluble in both media. All films were transparent, allowing good observability. With LBG and salep addition, lower tensile strength films were obtained and thicknesses of all films were appropriate for wound dressing applications. Due to their solubility, agar - salep films can be preferred especially for the cases where removal from the wound without damaging the tissue structure is a priority.

Clock Regulation of Metabolites Reveals Coupling between Transcription and Metabolism.

The intricate connection between the circadian clock and metabolism remains poorly understood. We used high temporal resolution metabolite profiling to explore clock regulation of mouse liver and cell-autonomous metabolism. In liver, ∼50% of metabolites were circadian, with enrichment of nucleotide, amino acid, and methylation pathways. In U2 OS cells, 28% were circadian, including amino acids and NAD biosynthesis metabolites. Eighteen metabolites oscillated in both systems and a subset of these in primary hepatocytes. These 18 metabolites were enriched in methylation and amino acid pathways. To assess clock dependence of these rhythms, we used genetic perturbation. BMAL1 knockdown diminished metabolite rhythms, while CRY1 or CRY2 perturbation generally shortened or lengthened rhythms, respectively. Surprisingly, CRY1 knockdown induced 8 hr rhythms in amino acid, methylation, and vitamin metabolites, decoupling metabolite from transcriptional rhythms, with potential impact on nutrient sensing in vivo. These results provide the first comprehensive views of circadian liver and cell-autonomous metabolism.

Reduced Glucose Sensation Can Increase the Fitness of Saccharomyces cerevisiae Lacking Mitochondrial DNA.

Damage to the mitochondrial genome (mtDNA) can lead to diseases for which there are no clearly effective treatments. Since mitochondrial function and biogenesis are controlled by the nutrient environment of the cell, it is possible that perturbation of conserved, nutrient-sensing pathways may successfully treat mitochondrial disease. We found that restricting glucose or otherwise reducing the activity of the protein kinase A (PKA) pathway can lead to improved proliferation of Saccharomyces cerevisiae cells lacking mtDNA and that the transcriptional response to mtDNA loss is reduced in cells with diminished PKA activity. We have excluded many pathways and proteins from being individually responsible for the benefits provided to cells lacking mtDNA by PKA inhibition, and we found that robust import of mitochondrial polytopic membrane proteins may be required in order for cells without mtDNA to receive the full benefits of PKA reduction. Finally, we have discovered that the transcription of genes involved in arginine biosynthesis and aromatic amino acid catabolism is altered after mtDNA damage. Our results highlight the potential importance of nutrient detection and availability on the outcome of mitochondrial dysfunction.

Enhanced heterotetrameric assembly of potato ADP-glucose pyrophosphorylase using reverse genetics.

ADP-glucose pyrophosphorylase (AGPase) is a key allosteric enzyme in plant starch biosynthesis. Plant AGPase is a heterotetrameric enzyme that consists of large (LS) and small subunits (SS), which are encoded by two different genes. Computational and experimental studies have revealed that the heterotetrameric assembly of AGPase is thermodynamically weak. Modeling studies followed by the mutagenesis of the LS of the potato AGPase identified a heterotetramer-deficient mutant, LS(R88A). To enhance heterotetrameric assembly, LS(R88A) cDNA was subjected to error-prone PCR, and second-site revertants were identified according to their ability to restore glycogen accumulation, as assessed with iodine staining. Selected mutations were introduced into the wild-type (WT) LS and co-expressed with the WT SS in Escherichia coli glgC(-). The biochemical characterization of revertants revealed that LS(I90V)SS(WT), LS(Y378C)SS(WT) and LS(D410G)SS(WT) mutants displayed enhanced heterotetrameric assembly with the WT SS. Among these mutants, LS(Y378C)SS(WT) AGPase displayed increased heat stability compared with the WT enzyme. Kinetic characterization of the mutants indicated that the LS(I90V)SS(WT) and LS(Y378C)SS(WT) AGPases have comparable allosteric and kinetic properties. However, the LS(D410G)SS(WT) mutant exhibited altered allosteric properties of being less responsive and more sensitive to 3-phosphoglyceric acid activation and inorganic phosphate inhibition. This study not only enhances our understanding of the interaction between the SS and the LS of AGPase but also enables protein engineering to obtain enhanced assembled heat-stable variants of AGPase, which can be used for the improvement of plant yields.

MEMS biosensor for detection of Hepatitis A and C viruses in serum.

Resonant microcantilever arrays are developed for the purpose of label-free and real-time analyte monitoring and biomolecule detection. MEMS cantilevers made of electroplated nickel are functionalized with Hepatitis antibodies. Hepatitis A and C antigens at different concentrations are introduced in undiluted bovine serum. All preparation and measurement steps are carried out in the liquid within a specifically designed flowcell without ever drying the cantilevers throughout the experiment. Both actuation and sensing are done remotely and therefore the MEMS cantilevers have no electrical connections, allowing for easily disposable sensor chips. Actuation is achieved using an electromagnet and the interferometric optical sensing is achieved using laser illumination and embedded diffraction gratings at the tip of each cantilever. Resonant frequency of the cantilevers in dynamic motion is monitored using a self-sustaining closed-loop control circuit and a frequency counter. Specificity is demonstrated by detecting both Hepatitis A and Hepatitis C antigens and their negative controls. This is the first report of Hepatitis antigen detection by resonant cantilevers exposed to undiluted serum. A dynamic range in excess of 1000 and with a minimum detectable concentration limit of 0.1ng/ml (1.66pM) is achieved for both Hepatitis A and C. This result is comparable to labeled detection methods such as ELISA.

Optimization based tumor classification from microarray gene expression data.

BACKGROUND: An important use of data obtained from microarray measurements is the classification of tumor types with respect to genes that are either up or down regulated in specific cancer types. A number of algorithms have been proposed to obtain such classifications. These algorithms usually require parameter optimization to obtain accurate results depending on the type of data. Additionally, it is highly critical to find an optimal set of markers among those up or down regulated genes that can be clinically utilized to build assays for the diagnosis or to follow progression of specific cancer types. In this paper, we employ a mixed integer programming based classification algorithm named hyper-box enclosure method (HBE) for the classification of some cancer types with a minimal set of predictor genes. This optimization based method which is a user friendly and efficient classifier may allow the clinicians to diagnose and follow progression of certain cancer types. METHODOLOGY/PRINCIPAL FINDINGS: We apply HBE algorithm to some well known data sets such as leukemia, prostate cancer, diffuse large B-cell lymphoma (DLBCL), small round blue cell tumors (SRBCT) to find some predictor genes that can be utilized for diagnosis and prognosis in a robust manner with a high accuracy. Our approach does not require any modification or parameter optimization for each data set. Additionally, information gain attribute evaluator, relief attribute evaluator and correlation-based feature selection methods are employed for the gene selection. The results are compared with those from other studies and biological roles of selected genes in corresponding cancer type are described. CONCLUSIONS/SIGNIFICANCE: The performance of our algorithm overall was better than the other algorithms reported in the literature and classifiers found in WEKA data-mining package. Since it does not require a parameter optimization and it performs consistently very high prediction rate on different type of data sets, HBE method is an effective and consistent tool for cancer type prediction with a small number of gene markers.

Detection of human κ-opioid antibody using microresonators with integrated optical readout.

Label-free detection of the interaction between hexahistidine-tagged human κ-opioid receptor membrane protein and anti-His antibody is demonstrated in liquid by an optical microelectromechanical system utilizing electromagnetically actuated microresonators. Shift in resonance frequency due to accretion of mass on the sensitive surface of microresonators is monitored via an integrated optical readout. A frequency resolution of 2Hz is obtained. Together with a sensitivity of 7 ppm/(ng/ml) this leads to a minimum detectable antibody concentration of 5.7 ng/ml for a 50-kHz device. The measurement principle is shown to impart immunity to environmental noise, facilitate operation in liquid media and bring about the prospect for further miniaturization of actuator and readout leading to a portable biochemical sensor.

Classification of cytochrome P450 inhibitors with respect to binding free energy and pIC50 using common molecular descriptors.

Virtual screening of chemical libraries following experimental assays of drug candidates is a common procedure in structure based drug discovery. However, the relationship between binding free energies and biological activities (pIC50) of drug candidates is still an unsolved issue that limits the efficiency and speed of drug development processes. In this study, the relationship between them is investigated based on a common molecular descriptor set for human cytochrome P450 enzymes (CYPs). CYPs play an important role in drug-drug interactions, drug metabolism, and toxicity. Therefore, in silico prediction of CYP inhibition by drug candidates is one of the major considerations in drug discovery. The combination of partial least-squares regression (PLSR) and a variety of classification algorithms were employed by considering this relationship as a classification problem. Our results indicate that PLSR with classification is a powerful tool to predict more than one output such as binding free energy and pIC50 simultaneously. PLSR with mixed-integer linear programming based hyperboxes predicts the binding free energy and pIC50 with a mean accuracy of 87.18% (min: 81.67% max: 97.05%) and 88.09% (min: 79.83% max: 92.90%), respectively, for the cytochrome p450 superfamily using the common 6 molecular descriptors with a 10-fold cross-validation.

Classification of drug molecules considering their IC50 values using mixed-integer linear programming based hyper-boxes method.

BACKGROUND: A priori analysis of the activity of drugs on the target protein by computational approaches can be useful in narrowing down drug candidates for further experimental tests. Currently, there are a large number of computational methods that predict the activity of drugs on proteins. In this study, we approach the activity prediction problem as a classification problem and, we aim to improve the classification accuracy by introducing an algorithm that combines partial least squares regression with mixed-integer programming based hyper-boxes classification method, where drug molecules are classified as low active or high active regarding their binding activity (IC50 values) on target proteins. We also aim to determine the most significant molecular descriptors for the drug molecules. RESULTS: We first apply our approach by analyzing the activities of widely known inhibitor datasets including Acetylcholinesterase (ACHE), Benzodiazepine Receptor (BZR), Dihydrofolate Reductase (DHFR), Cyclooxygenase-2 (COX-2) with known IC50 values. The results at this stage proved that our approach consistently gives better classification accuracies compared to 63 other reported classification methods such as SVM, Naïve Bayes, where we were able to predict the experimentally determined IC50 values with a worst case accuracy of 96%. To further test applicability of this approach we first created dataset for Cytochrome P450 C17 inhibitors and then predicted their activities with 100% accuracy. CONCLUSION: Our results indicate that this approach can be utilized to predict the inhibitory effects of inhibitors based on their molecular descriptors. This approach will not only enhance drug discovery process, but also save time and resources committed.

Purification and characterization of a type III photolyase from Caulobacter crescentus.

The photolyase/cryptochrome family is a large family of flavoproteins that encompasses DNA repair proteins, photolyases, and cryptochromes that regulate blue-light-dependent growth and development in plants, and light-dependent and light-independent circadian clock setting in animals. Phylogenetic analysis has revealed a new class of the family, named type III photolyase, which cosegregates with plant cryptochromes. Here we describe the isolation and characterization of a type III photolyase from Caulobacter crescentus. Spectroscopic analysis shows that the enzyme contains both the methenyl tetrahydrofolate photoantenna and the FAD catalytic cofactor. Biochemical analysis shows that it is a bona fide photolyase that repairs cyclobutane pyrimidine dimers. Mutation of an active site Trp to Arg disrupts FAD binding with no measurable effect on MTHF binding. Using enzyme preparations that contain either both chromophores or only folate, we were able to determine the efficiency and rate of transfer of energy from MTHF to FAD.

Ultrafast dynamics of resonance energy transfer in cryptochrome.

In this communication, we report the ultrafast dynamics of resonance energy transfer in a blue-light photoreceptor, Vibrio cholerae cryptochrome. The transfer was observed to occur in 60 ps. We also studied the local rigidity and solvation around the binding site of the photoantenna molecule. The results for the first time show energy transfer in cryptochrome suggesting some mechanistic similarities between photolyase that repairs damaged DNA and cryptochrome that mediates blue-light signaling.

Analysis of the role of intraprotein electron transfer in photoreactivation by DNA photolyase in vivo.

Escherichia coli DNA photolyase contains FADH(-) as the catalytic cofactor. The cofactor becomes oxidized to the FADH(*) blue neutral radical during purification. The E-FADH(*) form of the enzyme is catalytically inert but can be converted to the active E-FADH(-) form by a photoreduction reaction that involves intraprotein electron transfer from Trp306. It is thought that the E-FADH(*) form is also transiently generated during pyrimidine dimer repair by photoinduced electron transfer, and it has been suggested that the FADH(*) that is generated after each round of catalysis must be photoreduced before the enzyme can engage in subsequent rounds of repair. In this study, we introduced the Trp306Phe mutation into the chromosomal gene and tested the non-photoreducible W306F mutant for photorepair in vivo. We find that both wild-type and W306F mutant photolyases carry out at least 25 rounds of photorepair at the same rate. We conclude that photoreduction by intraprotein electron transfer is not part of the photolyase photocycle under physiological conditions.

Purification and characterization of three members of the photolyase/cryptochrome family blue-light photoreceptors from Vibrio cholerae.

The sequence of Vibrio cholerae genome revealed three genes belonging to the photolyase/cryptochrome blue-light photoreceptor family. The proteins encoded by the three genes were purified and characterized. All three proteins contain folate and flavin cofactors and have absorption peaks in the range of 350-500 nm. Only one of the three, VcPhr, is a photolyase specific for cyclobutane pyrimidine dimers. The other two are cryptochromes and were designated VcCry1 and VcCry2, respectively. Mutation of phr abolishes photoreactivation of UV-induced killing, whereas mutations in cry1 and cry2 do not affect photorepair activity. VcCry1 exhibits some unique features. Of all cryptochromes characterized to date, it is the only one that contains stoichiometric amounts of both chromophores and retains its flavin cofactor in the two-electron reduced FADH2 form. In addition, VcCry1 exhibits RNA binding activity and co-purifies with an RNA of 60-70 nucleotides in length.

Generation, characterization, and heterologous expression of wild-type and up-regulated forms of Arabidopsis thaliana leaf ADP-glucose pyrophosphorylase.

ADP-glucose pyrophosphorylase (AGPase), a key enzyme in starch biosynthesis of higher plants, consists of a pair of regulatory large (LS) and catalytically small (SS) subunits. In plants, these subunits are coded by multiple genes resulting in the formation of tissue-specific enzyme forms, which are differentially regulated during plant growth and development. Some AGPase isoforms differ in catalytic and regulatory properties as well as intracellular location. In an effort to gain a better understanding of the role of the leaf AGPase in carbon partitioning and its effect on plant productivity, the Arabidopsis leaf AGPase containing the mature forms of the SS and LS was expressed in a heterologous expression system and characterized enzymatically. The Arabidopsis recombinant AGPase had kinetic values for 3-phosphoglyceric acid, glucose-1-phosphate and Mg(2+) similar to those of the native enzyme. As the N-terminus of the LS has been suggested to be involved in enzyme function, the length of the N-terminal region was extended or shortened. Of the five modified LSs analyzed, only the T5 form lacking six residues of the mature N-terminus was able to form detectable levels of enzyme activity, indicating that the N-terminal region is critical for enzyme function. Two up-regulatory LS mutations that allosterically activate the potato enzyme, a stem isoform, were introduced into the corresponding Arabidopsis LS sequences and co-expressed with wild-type SS. Both modified enzymes showed up-regulatory properties, indicating that these specific residue changes were also operational in the leaf isoform.

Directed molecular evolution of ADP-glucose pyrophosphorylase.

ADP-glucose pyrophosphorylase catalyzes a rate-limiting reaction in prokaryotic glycogen and plant starch biosynthesis. Despite sharing similar molecular size and catalytic and allosteric regulatory properties, the prokaryotic and higher plant enzymes differ in higher-order protein structure. The bacterial enzyme is encoded by a single gene whose product of ca. 50,000 Da assembles into a homotetrameric structure. Although the higher plant enzyme has a similar molecular size, it is made up of a pair of large subunits and a pair of small subunits, encoded by different genes. To identify the basis for the evolution of AGPase function and quaternary structure, a potato small subunit homotetrameric mutant, TG-15, was subjected to iterations of DNA shuffling and screened for enzyme variants with up-regulated catalytic and/or regulatory properties. A glycogen selection/screening regimen of buoyant density gradient centrifugation and iodine vapor colony staining on glucose-containing media was used to increase the stringency of selection. This approach led to the isolation of a population of AGPase small subunit homotetramer enzymes with enhanced affinity toward ATP and increased sensitivity to activator and/or greater resistance to inhibition than TG-15. Several enzymes displayed a shift in effector preference from 3-phosphoglycerate to fructose-6 phosphate or fructose-1,6-bis-phosphate, effectors used by specific bacterial AGPases. Our results suggest that evolution of AGPase, with regard to quaternary structure, allosteric effector selectivity, and effector sensitivity, can occur through the introduction of a few point mutations alone with low-level recombination hastening the process.