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Intake and performance of lactating cows grazing diverse forage mixtures.

Twenty multiparous Holstein cows in midlactation grazed pastures of 4 forage mixtures in a 12-wk study repeated during 2 grazing seasons to determine if forage mixture complexity affected intake and productivity of lactating dairy cows. The forage mixtures were 1) orchardgrass plus white clover [2 species (SP)]; 2) orchardgrass, white clover, and chicory (3SP); 3) orchardgrass, tall fescue, perennial ryegrass, red clover, birdsfoot trefoil, and chicory (6SP); and 4) 6SP mixture plus white clover, alfalfa, and Kentucky bluegrass (9SP). Total herbage intake was similar among forage mixtures, averaging 12.0 kg/d across all forage mixtures and years. Milk production and composition were not affected by forage mixture or year, and averaged 34.6 kg/d, 3.4%, and 2.8% for milk production, milk fat percentage, and milk protein percentage, respectively. The conjugated linoleic acid content of milk fat was higher for cows that grazed the 3SP, 6SP, and 9SP mixtures than from cows that grazed the 2SP mixture (1.02 vs. 0.87 g of conjugated linoleic acid/100 g of fatty acids, respectively). Blood glucose, blood urea nitrogen, and nonesterified fatty acids were not affected by forage mixture and averaged 69.2 mg/dL, 13.4 mg/dL, and 277.5 muEq/L, respectively. The results of this study indicate that altering the forage mixture in pastures did not affect dry matter intake, milk production, or blood metabolite profiles of lactating cows. The use of complex mixtures of forages in grazing systems should not affect dairy cow performance.

Allantoin↗

Proton magnetic resonance studies of actinomycin D complexes with mixtures of nucleotides as models for the binding of the drug to DNA.

The proton magnetic resonance spectra of actinomycin solutions with mixtures of deoxynucleotides have been investigated to determine the relative preference for the binding of guanine and adenine nucleotides to the two nucleotide binding sites of actinomycin D. An analysis of the chemical shifts of the actinomycin D resonances shows that adenine and guanine nucleotides competitively bind to the benzenoid portion of the phenoxazone ring of actinomycin D while guanine nucleotides bind stronger than adenine nucleotides to the quinoid portion of the phenoxazone ring. The chemical shift data for the titrations of actinomycin D with pdG-dG, pdC-dC, and an equimolar mixture of these complementary deoxydinucleotides show that: (1) pdG-dG forms a stacked complex much like dGMP; (2) pdC-dC does not bind to actinomycin D under the conditions used in these experiments; (3) in the titration of actinomycin D with the equimolar mixture of pdG-dG + pdC-dC, a miniature intercalated complex is formed.

Binding Sites↗

Mixtures of polycyclic aromatic compounds inhibit mutagenesis in the Salmonella/microsome assay by inhibition of metabolic activation.

We observed that complex mixtures of aromatic compounds isolated from a coal-derived oil suppressed the mutagenic activity of the indirect mutagens benzo[a]pyrene, 7,12-dimethylbenz[a]anthracene, 2-aminofluorene, and 2-acetylaminofluorene as measured in the Salmonella/microsome mutagenicity assay, using strain TA98 and metabolic activation with Aroclor-induced rat-liver S9 or microsomes. The mixture also inhibited S9-dependent benzo[a]pyrene metabolism and covalent binding to DNA in a cell-free system. The mixture did not suppress the activity of either the direct acting mutagens 2-nitrofluorene and benzo[a]pyrene diol-epoxide, or of the indirect mutagen N-hydroxy-2-acetylaminofluorene which requires a microsomal deacetylase for metabolic activation. Spectrophotometric measurements showed that components of the mixture bound to microsomal cytochrome P-450. The mixture did not inhibit microsomal NADPH-cytochrome c (P-450) reductase. These observations show that the mixtures inhibited metabolic activation by the microsomal monooxygenase system, probably by binding of unidentified components to cytochrome P-450. The resulting inhibition of mutagenesis may have implications for risk estimates for the mixtures we examined as well as for other types of complex mixtures for which similar inhibitory effects have been observed.

Animals↗

Malignant transformation of BALB/3T3 cells by residue organic mixtures from drinking water.

Malignant transformation of BALB/3T3 1-13 cells results following treatment with complex mixtures of residue organic chemicals from drinking water samples of five U. S. cities. The U. S. Environmental Protection Agency provided the residues which were obtained by liquid-liquid solvent extraction, and sorption-desorption on XAD-2 resin of samples concentrated by reverse osmosis from drinking water of Philadelphia, PA; New Orleans, LA; Miami, FL; Seattle, WA; and Ottumwa, IA. Transformation was observed using a focus formation assay following 72-hr exposure of cells to residues from one or more samples from each city. Malignancy of several transformed and normal clones was evaluated in athymic (nu/nu) mice. The usefulness of such a transformation assay in detecting potential carcinogenic compounds contained in complex mixtures and the evaluation of possible health effects of residue organics in drinking water are discussed.

Animals↗

Synthesis and characterization of a bovine hexokinase 1 cDNA probe by mixed oligonucleotide primed amplification of cDNA using high complexity primer mixtures.

Hexokinase (EC 2.7.1.1) catalyzes the first step in glucose metabolism, using ATP for the phosphorylation of glucose to glucose 6-phosphate. A portion of the HK1 gene was cloned by mixed oligonucleotide primer amplification of cDNA using primers of high complexity. The amino acid sequence for a partial fragment of bovine cardiac muscle HK was determined and used to create primer mixtures of 256- and 1024-fold complexity. Two products were generated from bovine cardiac muscle cDNA which show 82% nucleotide and 93% amino acid identity with a region of rat brain HK1 and cDNA. This work demonstrates that extension and amplification of cDNA probes may be successful even when amino acid sequence data indicate substantial codon degeneracy.

Amino Acid Sequence↗

Prediction of partitioning between complex organic mixtures and water: application of polyparameter linear free energy relationships.

Equilibrium partitioning between nonaqueous phase liquids (NAPLs) and water is a governing process for contaminants leaching from NAPLs. Conventional prediction methods, such as Raoult's law and single-parameter linear free energy relationship (SP-LFER), are inaccurate for compounds with polar functional groups. Therefore, this study introduces a polyparameter linear free energy relationship (PP-LFER) approach as a more general tool to predict NAPL-water partitioning coefficients. Our approach was evaluated using 441 experimental partitioning data from 30 references. Experimental fuel-water partitioning coefficients were generally well reproduced by existing PP-LFERs for pure solvents using either a volume-fraction weighted sum of partitioning coefficients K (linear model, R2 = 0.983, root-mean-squared error [rmse] = 0.23) or a volume-fraction weighted sum of log K (log linear model, R2 = 0.976, rmse = 0.28). Using the linear model, estimations were, in most cases, within a factor of 2 from the experimental values, regardless of the type of compounds and the presence of a fuel additive. In contrast, the log linear model considerably underestimated partitioning coefficients in the presence of strong solute-solvent hydrogen bonding. For coal tar-water partitioning coefficients (Kcoal tar/w), new PP-LFER equations were calculated based on experimental log Kcoal tar/w values of 35 compounds. The resulting regression equation was log Kcoal tar/w = 0.40(+/-0.33) + 0.34(+/-0.32)E+ 0.61(+/-0.57)S-0.55-(+/-0.61)A-5.07(+/-0.61)B + 3.22(+/-0.35)V with the rmse equal to 0.21, where E, S, A, B, and Vare Abraham's solute descriptors. Partitioning coefficients for phenol and alcohols, calculated by the above equation, were much closer to the experimental values than to those estimated by the SP-LFER approach with octanol-water partitioning coefficients. The values of the coefficients also provide insight into the properties of coal tar in terms of molecular interactions with solutes. Consequently, using the approaches presented in this study, complex organic mixture-water partitioning coefficients of a wide range of organic compounds with varying polarity can be reasonably estimated.

Organic Chemicals↗

Exposure to cadmium-phenanthrene mixtures elicits complex toxic responses in the freshwater tubificid oligochaete, Ilyodrilus templetoni.

The joint toxicity of metal-hydrocarbon mixtures in sediments was investigated using cadmium (Cd) and phenanthrene (Phen) as model contaminants. Sediment bioassays were utilized to quantify effects of individual and combined contaminants in the bulk-deposit feeding oligochaete Ilyodrilus templetoni. Combined contaminants elicited antagonistic lethal effects and independent responses for feeding rate (measured as sediment ingestion). The 10-d LC(50) for Cd alone was 1375 mg kg(-1) (95% C.I. 1340-1412), whereas Phen elicited no mortality even when loaded to sediment saturation. The presence of Phen decreased Cd lethality, increasing the LC(50) of Cd by as much as 40%. Regression analyses indicated that Phen was nearly 10 times more potent than Cd in eliciting feeding rate reductions. Exposure to Cd-Phen mixtures resulted in feeding rate reductions equivalent to those caused by Phen alone. The marked reduction in sediment ingestion induced by the co-pollutant Phen reduced exposure to Cd via ingestion. We suggest that this Phen-induced reduction in Cd exposure decreased Cd bioaccumulation and subsequent lethality. More generally, we suggest that even if the toxicological effects among dissimilarly acting chemicals (including metals and hydrocarbons) are independent, contaminant mixtures may elicit unexpected interactive effects facilitated by modifying exposure.

Animals↗

Carrier ampholyte-free solution isoelectric focusing as a prefractionation method for the proteomic analysis of complex protein mixtures.

The field of proteomics requires methods that offer high sensitivity and wide dynamic range. One of the strategies used to improve the dynamic range is sample prefractionation, such as microsolution isoelectric focusing (IEF). We have modified a commercial solution IEF instrument, the Rotofor, to prefractionate protein mixtures by carrier ampholyte-free solution IEF. The focusing chamber of the Rotofor was divided into several compartments by polyacrylamide membranes with imbedded Immobiline mixtures of specific pH values. When an electric field is applied, each protein migrates to the compartment confined by membranes with pH values flanking its isoelectric point. The approach was demonstrated for the focusing of myoglobin into a predicted compartment, as well as the separation of a complex soluble yeast protein mixture into several distinct fractions. The proteins were dissolved in water or 30% isopropanol. The method is applicable to both gel-based and solution-phase protein identification methods, without the need for further sample preparation.

Animals↗

Separation techniques hyphenated to electrospray-tandem mass spectrometry in proteomics: capillary electrophoresis versus nanoliquid chromatography.

Liquid chromatography (LC) nanoelectrospray-tandem mass spectrometry (MS/MS) is a key technology for the study of proteomics, with the main benefit to the characterization of sensitive peptides from complex mixtures. Capillary electrophoresis coupled to mass spectrometry (MS) has been taken into consideration sporadically due to the highly efficient separation and ability to handle low sample amount, yet classified as being less sensitive with respect to analyte concentration. The limitation in capillary zone electrophoresis (CZE) injection volumes can be overcome by on-line solid-phase extraction (SPE). Such an on-line SPE-CZE system was explored in combination with an ion trap (IT) mass spectrometer. Thus, it was possible to inject more than 100 microL sample solution on to the CZE capillary. Concentration limits of detection as low as 100 amol/microL were demonstrated for a peptide standard. This SPE-CZE-microelectrospray ionization (ESI)-MS/MS setup was compared directly to nanoLC/nanoESI using the same sample of a tryptic digest of bovine serum albumin (BSA) as a reference standard. Measurements were made on one IT mass spectrometer with identical acquisition parameters. Both chromatography systems enabled the separation and detection of low levels of peptides from a mixture of moderate complexity, with most peptides identified using both techniques; however, specific differences were obvious. The nanoLC-MS is about five times more sensitive than the CZE-MS, yet the difference was less pronounced than expected. The CZE-MS technique showed reduced loss of peptides, especially for larger peptides (missed cleavages) and is about four times faster than the nanoLC-MS approach.

Amino Acid Sequence↗

Utility of short-term tests for genetic toxicity.

By definition, short-term tests (STTs) for genetic toxicity detect genotoxic agents, not carcinogens specifically. However, there is sufficient evidence, based on mechanistic considerations alone, to say that genotoxic agents are potential carcinogens. STTs have high statistical power, are almost always replicated, can be performed rather easily under various sets of experimental conditions, are relatively inexpensive, and detect a variety of endpoints relevant to carcinogenesis. In addition, several STTs have shown considerable utility in evaluating the genotoxic effects of real-world, environmental complex mixtures as well as the antimutagenic effects of various pure compounds and complex mixtures. STTs are likely to continue to be refined, resulting in STTs that are increasingly more relevant to human mutation and disease. Their utility should not be judged solely against the questionable standard of a rodent carcinogenicity assay.

Animals↗

Modeling and separation-detection methods to evaluate the speciation of metals for toxicity assessment.

There is an increasing appreciation for the importance of speciation in the assessment of metal toxicity. In this review, two approaches to speciation are discussed, with an emphasis on their application to biological samples. One approach is the direct separation and detection of metal species of toxicological interest. Various "hyphenated" techniques, consisting of a chromatographic system coupled to inductively coupled plasma-mass spectrometry (ICP-MS), are discussed. The chromatographic strategies employed for separation emphasize liquid chromatography (LC), but the increasing use of gas chromatography (GC) and capillary electrophoresis (CE) in speciation analysis is discussed. The second approach to speciation is the use of computer models to calculate the speciation of a metal ion within a complex mixture of ligands. This approach is applicable to systems in which the metal cation exchanges ligands rapidly, so that the sample represents an equilibrium mixture of metal complexes. These computational models are based on the equilibrium constants for the metal complexes and a series of mass balance equations and give the distribution of metal complexes in the original sample. This approach is illustrated using the speciation of Al(III) in serum as an example.

Aluminum↗

Some critical issues and concerns related to research advances on toxicology of chemical mixtures.

This paper addresses some of the issues and concerns on research advances on the toxicology of chemical mixtures. Emphases will be selectively given to the following questions and answers: Can mechanistic studies be conducted on chemical mixtures? The fact that any studies, including mechanistic studies, of single chemicals are really the study of the parent chemical plus its metabolites underscores the relevance of mechanistic studies on chemical mixtures. Can predictions be made on the health effects of chemical mixtures? Some successes are already evident in the literature on simpler chemical mixtures. For more complex mixtures, it is possible and we propose an approach here. What can we learn from other disciplines (the importance of interdisciplinary collaboration)? Two aspects, the knowledge and methodologies available in clinical pharmacology and the latest advances in structure-oriented lumping in chemical engineering, are discussed in detail. Unrepeatable results: The possibility of magnification of biologic variability because of low-level exposures to chemical mixtures is suggested with special reference to some known examples, including the controversial study on synergistic interactions of endocrine disruptors. Is the driving force for scientific investigations on chemical mixtures the legislative and regulatory atmosphere? Two laws with chemical mixtures specifically in the language are quoted and discussed. Their implications regarding research funding and activities are described. What are the pitfalls of applying for research funding on investigating chemical mixtures? The dilemma at least one investigator faces in pursuing research funding is elaborated. The questions and issues listed above are not all inclusive, but they represent some of the aspects that need to be brought into the open in the scientific community for discussion and/or debate. Thus, the primary objective of this paper is to provide some momentum for the beginning of a fruitful and stimulating discussion.

Drug Interactions↗

Electrophysiological responses of taste cells to nutrient mixtures in the polyphagous caterpillar of Grammia geneura.

In a normally feeding insect, the taste receptors are exposed to complex mixtures of chemicals, not single compounds. We investigate the responses of neurons in the galeal sensilla of the caterpillar of Grammia geneura to mixtures of nutrient compounds at concentrations occurring in plants. Compounds that stimulated the same neuron were generally additive in their effects in binary mixtures. Amino acids that did not stimulate usually had no effect in mixtures with a stimulating compound, but glutamic acid reduced the response to serine in the medial sensillum. Nutrient compounds that stimulated different cells in a sensillum acted independently of each other. Complex mixtures of amino acids resembling samples of free amino acids from three host plants were less stimulating than expected from their molar concentrations. In host plant selection, the response from the medial sensillum is probably dominated by sucrose; unless sucrose levels are low, amino acids will contribute little to sensory input because they stimulate the same cell as sucrose. In the lateral sensillum, amino acids act independently of sugars. The limited contact chemosensory array of caterpillars seems inadequate to allow them to make fine distinctions between plants on the basis of their free amino acids.

Amino Acids↗

Pre-reactive complexes in mixtures of water vapour with halogens: characterisation of H2O...ClF and H2O...F2 by a combination of rotational spectroscopy and ab initio calculations.

Complexes H2O...ClF and H2O...F2 were detected by means of their ground-state rotational spectra in mixtures of water vapour with chlorine monofluoride and difluorine, respectively. A fast-mixing nozzle was used in conjunction with a pulsed-jet, Fourier-transform microwave spectrometer to preclude the vigorous chemical reaction that these dihalogen species undergo with water. The ground-state spectra of seven isotopomers (H2 16O...35ClF, H2 16O...ClF, H2 18O...35ClF, D2 16O... 35ClF, D2 16O...37ClF, HDO...35ClF and HDO...37ClF) of the ClF complex and five isotopomers (H2O...F2, H2 18O...F2, D2O...F2, D2 18O...Fi and HDO...F2) of the F2 complex were analysed to yield rotational constants, quartic centrifugal distortion constants and nuclear hyperfine coupling constants. These spectroscopic constants were interpreted with the aid of simple models of the complexes to give effective geometries and intermolecular stretching force constants. Isotopic substitution showed that in each complex the H2O molecule acts as the electron donor and either CIF or F2 acts as the electron acceptor, with nuclei in the order H2O...ClF or H2O...F2. For H2O...ClF, the angle phi between the bisector of the HOH angle and the O...Cl internuclear line has the value 58.9(16)degrees, while the distance r(O...Cl)= 2.6081(23) A. The corresponding quantities for H2O...F2 are phi = 48.5(21)degrees and r(O...Fi) = 2.7480(27) A, where Fi indicates the inner F atom. The potential energy V(phi) as a function of the angle phi was obtained from ab initio calculations at the aug-cc-pVDZ/MP2 level of theory for each complex by carrying out geometry optimisations at fixed values of phi in the range +/-80degrees. The global minimum corresponded to a complex of Cs symmetry with a pyramidal configuration at O in each. The function V(phi) was of the double-minimum type in each case with equilibrium values phie = +/-55.8degrees and +/-40.5degrees for H2O...ClF and H2O...F2, respectively. The barrier at the planar C2v conformation was V0= 174cm(-1) for H2O...ClF and 7cm(-1) for H2O...F2. For the latter complex, the zero-point energy level lies above the top of the barrier.

Journal Article↗

Molecular factor analysis applied to collections of NMR spectra.

It is often useful to identify and quantify mixture components by analyzing collections of NMR spectra. Such collections arise in metabonomics and many other applications. Many mixtures studied by NMR can contain hundreds of compounds, and it is challenging to analyze the resulting complex spectra. We have approached the problem of separating signals from different molecules in complex mixtures by using self-modeling curve resolution as implemented by the alternating least-squares algorithm. Alternating least squares uses nonnegativity criteria to generate spectra and concentrations from a collection of mixture spectra. Compared to previous applications of alternating least squares, NMR spectra of complex mixtures possess unique features, such as large numbers of components and sample-to-sample variability in peak positions. To deal with these features, we developed a set of data preprocessing methods, and we made modifications to the alternating least-squares algorithm. We use the term "molecular factor analysis" to refer to the preprocessing and modified alternating least-squares methods. Molecular factor analysis was tested using an artificial data set and spectra from a metabonomics study. The results show that the tools can extract valuable information on sample composition from sets of NMR spectra.

Journal Article↗

Isolation of N-terminal protein sequence tags from cyanogen bromide cleaved proteins as a novel approach to investigate hydrophobic proteins.

A novel method for the isolation of protein sequence tags to identify proteins in a complex mixture of hydrophobic proteins is described. The PST (Protein Sequence Tag) technology deals with the isolation and MS/MS based identification of one N-terminal peptide from each polypeptide fragment generated by cyanogen bromide cleavage of a mixture of proteins. PST sampling takes place after sub-cellular fractionation of a complex protein mixture to give enrichment of mitochondrial proteins. The method presented here combines effective sample preparation with a novel peptide isolation protocol involving chemical and enzymatic cleavage of proteins coupled to chemical labeling and selective capture procedures. The overall process has been very successful for the analysis of complex mixtures of hydrophobic proteins, particularly membrane proteins. This method substantially reduces the complexity of a protein digest by "sampling" the peptides present in the digest. The sampled digest is amenable to analysis by liquid chromatography tandem mass spectrometry (LC-MS/MS). Methods of "sampling" protein digests have great value' if they can provide sufficient information to identify substantially all of the proteins in the sample while reducing the complexity of the sample to maximize the efficient usage of LC-MS/MS capacity. The validity of the process is demonstrated for mitochondrial samples from S. cerevisiae. The proteins identified by the PST technology are compared to the proteins identified by the conventional technology 2-D gel electrophoresis as a control.

Amino Acid Sequence↗

Analysis of T lymphocyte reactivity to complex antigen mixtures by the use of proteins coupled to latex beads.

This report describes a suitable model for analysing heterogeneous T cell responses to complex foreign antigens using coated polystyrene beads. The advantage of this technique is that it allows the simple removal of detergents from bound antigen so that biochemically separated antigens or crude antigen mixtures can be used. Furthermore, due to the enhanced uptake of latex-bound antigens by phagocytic antigen-presenting cells (APC), very small amounts of antigen will suffice for activation of T cells in vitro. The potential use of this technique to analyse relevant T cell responses to antigens which are difficult to obtain purified in bulk quantities, is discussed.

Animals↗

Toxicity of complex chemical mixtures: acute and long-term effects on different life stages of zebrafish (Brachydanio rerio).

Acute and long-term toxicity of 3,4-dichloroaniline and lindane to zebrafish were examined in tap water and water from the Rhine River and the toxicity of the binary mixture 3,4-dichloroaniline/lindane in tap water was investigated. The acute toxicity of 3,4-dichloroaniline and lindane was not influenced by the complex matrix of river water compared with tap water. The binary mixture of 3,4-dichloroaniline and lindane demonstrated an additive effect in the acute test. The survival rate of early life stages in river water was reduced by lindane (80 micrograms/liter), whereas the effects of 3,4-dichloroaniline on survival and growth were visible but not significant. The binary mixture of 2 micrograms/liter, 3,4-dichloroaniline and 40 micrograms/liter lindane in tap water had an influence on growth on the early life stages of zebrafish.

Aniline Compounds↗