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Biomedical subjects

E Benfenati

Publications and source records attributed to E Benfenati.

At least 19 recordsLinked to original sources
PubMed2006

Investigating the estrogenic risk along the river Po and its intermediate section.

Different endpoints have been used to investigate the occurrence of estrogenic risk along the Po River, particularly its middle section. An in vitro assay based on recombinant yeast could not detect estrogenic activity in bed sediments of the Italian river or in bile samples of five Cyprinid species, with the only exception being one carp (Cyprinus carpio) captured downstream of the River Lambro, a polluted tributary of the middle River Po. Chemical analyses of fish bile and water samples from the same middle section showed diffuse contamination by moderately low levels of estrogenic chemicals (estrone [E1], 17beta-estradiol, estriol [E3], 17alpha-ethinylestradiol, 4-nonylphenol [NP], 4-tert-octylphenol [tOP], 4-n-octylphenol, and bisphenol A) but they were of limited help in understanding the risk present in the downstream area where intersex barbel were previously found. In contrast, the analyses of River Lambro waters showed that this tributary is a source to the middle River Po of all eight estrogens investigated. Analyses of bed sediments and macroinvertebrates from the same area consistently showed at least two levels of contamination, with the downstream stretch showing higher concentrations of natural steroids (E1 and E3) and xenoestrogens (NP and tOP). Accordingly, new histologic examinations undertaken on young barbel (Barbus sp.) showed intersex gonads only in the individuals captured in the downstream stretch, thereby confirming previous results. Present findings confirm the occurrence of disrupting conditions in the middle River Po and provide the first suggestions of cause-effect relationships.

Animals↗
PubMed2006

Ecotoxicity prediction by adaptive fuzzy partitioning: comparing descriptors computed on 2D and 3D structures.

Classification models were established on four endpoints, i.e. trout, daphnia, quail and bee, including from 100 to 300 pesticides subdivided into 3 toxicity classes. For each species, five separate sets of molecular descriptors, computed by several software, were compared, including parameters related to 2D or 3D structures. The most relevant descriptors were selected with help of a procedure based on genetic algorithms. Then, structure-activity relationships were built by Adaptive Fuzzy Partition (AFP), a recursive partitioning method derived from Fuzzy Logic concepts.Globally, satisfactory results were obtained for each animal species. The best cross-validation and test set scores reached values of about 70-75%. More important, the relationships derived from the descriptors calculated from 2D structures were superior or similar to those computed from 3D structures. These results underline that the long computational time employed to compute 3D descriptors is often useless to improve the prediction ability of the ecotoxicity models. Finally, the differences in the prediction ability between the different software used were quite reduced and show the possibility to use different descriptor packages for obtaining similar satisfactory models.

Animals↗
PubMed2006

Validation of counter propagation neural network models for predictive toxicology according to the OECD principles: a case study.

The OECD has proposed five principles for validation of QSAR models used for regulatory purposes. Here we present a case study investigating how these principles can be applied to models based on Kohonen and counter propagation neural networks. The study is based on a counter propagation network model that has been built using toxicity data in fish fathead minnow for 541 compounds. The study demonstrates that most, if not all, of the OECD criteria may be met when modeling using this neural network approach.

Animal Use Alternatives↗
PubMed2005

Environmental agent susceptibility assessment using existing and novel biomarkers as rapid noninvasive testing methods.

This study is part of a project aimed at developing and validating novel noninvasive methods for the detection of biomarkers of endocrine disrupters (EDs) directly in the mucus of aquatic species, to identify novel functional biomarker(s) for EDs, and to verify their applicability for field studies. The multidisciplinary approach chosen aims at the development of an integrated testing strategy utilizing in vitro protocols to identify water and sediment fractions with potential endocrine-disrupting activity; the identification, characterization, and measurement of new biomarker(s) for EDs; the development and validation of a dipstick-based test method; and the development of (computer-assisted) predictive models. Some results of the first year of the project are presented here.

Animals↗
PubMed2003

Organic tracers identification as a convenient strategy in industrial landfills monitoring.

Today, a significant environmental problem is due to the presence of industrial landfills, some of them old, which can release toxic compounds into the environment (Chemosphere 42 (2001) 415; Chemosphere 31 (1995) 3455). The identification of directly linked to the leachate tracers of contamination in the wells around the landfills, as early markers of a potential risk for the environment and/or man, is a good strategy for an early evaluation of contamination. Our protocol developed for wells water characterization is based on solid phase extraction combined with GC-MS and HPLC-MS/MS. In this way a list of organic contaminants of a specific industrial landfill is obtained, giving a solid basis also for the risk assessment. Here we present some specific examples and the use of these pollutants for environmental monitoring.

Environmental Monitoring↗
PubMed2003

Predicting logP of pesticides using different software.

We compared experimental and calculated logP values using a data set of 235 pesticides and experimental values from four different sources: The Pesticide Manual, Hansch Manual, ANPA and KowWin databases. LogP were calculated with four softwares: HyperChem, Pallas, KowWin and TOPKAT. Crossed comparison of the experimental and calculated values proved useful, especially for pesticides. These are harder to study than simpler organic compounds. Structurally they are complex, heterogeneous and similar to drugs from a chemical point of view. They offer an interesting way to verify the goodness of the different methods. Other studies compared several logP predictors using a single set of experimental values taken as a reference. Here we discuss the utility of the different logP predictors, with reference to experimental data found in different databases. This offers three advantages: (1) it avoids bias due to the assumption that one single data set is correct; (2) a given predictor can be developed on the same data set used for evaluation; (3) it takes account of experimental variability and can compare it with the predictor's variability. In our study Pallas and KowWin gave the best results for prediction, followed by TOPKAT.

1-Octanol↗
PubMed2001

Predicting toxicity: a mechanism of action model of chemical mutagenicity.

The increasing importance of theoretical studies for predicting toxicology has aroused the interest of many computational chemists. A new approach has been developed, based on studying at the molecular level two potential mechanisms of action that are related to compound mutagenicity. This approach is the first example that considers both the toxicant and the biological target molecules involved in the interaction. Using some calculated descriptors and a simulation of the interaction chemical, compounds can be classified. More important, the approach helps in understanding and explaining both the correct and the incorrect results, and gives a deeper understanding of the toxic mechanisms. The model has been applied to many compounds and the results are compared with experimental results reported for the corresponding Salmonella tests.

Algorithms↗
PubMed2001

Factors influencing predictive models for toxicology.

Comparisons of different models to predict toxicity and evaluation of the predictive power of a model are affected by the variability of the data. We assessed this problem by considering experimental toxicity data and chemical descriptors. We evaluated several toxicological end-points (Oncorhynchus mykiss, Daphnia magna, Acceptable Daily Intake, Anas Platyrhynchos, Colinus virginianus and Muridae) in the case of pesticides and also considered the availability of toxicological data. We calculated hundreds of molecular descriptors (divided into constitutional, electrostatic, geometrical, quantum-chemical and topological ones) for the selected compounds using CODESSA, HyperChem and Pallas. Molecular descriptors may vary depending on the conformation of the molecules and on the software used. We evaluated the extent of this variability, and compared it with the variability of the experimental toxicological values.

Animals↗
PubMed2000

Fractionation and toxicity evaluation of waste waters.

Several toxicity-based procedures have been proposed for waste water risk assessment but the toxic agents could never be identified in these very complex mixtures. A procedure was adopted using disposable solid-phase extraction cartridges to extract organic chemicals and preparative HPLC to fractionate them in relation of their hydrophobicity. Acute toxicity of whole samples and their fractions was measured on Daphnia magna, using a commercially available biokit. The procedure was applied to leachate from an industrial landfill and a textile effluent. In both cases the toxic effects due to xenobiotics were highest in the most hydrophobic HPLC fraction. The compounds responsible for the observed toxicity were identified and quantified by GC-MS. Reconstructed mixtures were analysed to assess their fitting with GC profiles and tested for toxicity to compare the responses of individual chemicals and mixtures.

Animals↗
PubMed1999

Analysis of some pesticides in water samples using solid-phase microextraction-gas chromatography with different mass spectrometric techniques.

A solid-phase microextraction (SPME)-GC procedure has been developed for the analysis of four selected pesticides (propanil, acetochlor, myclobutanil and fenoxycarb) in water samples. Mass spectrometry (MS) was used and two different instruments, a quadrupole MS system and an ion trap operating in the MS-MS mode, were compared. A Carbowax-divinylbenzene SPME fiber was used. The performances of the two GC-MS instruments were comparable in terms of linearity (in the range of 0.1-10 microg/l in water samples) and sensitivity (limits of detection were in the low ng/l range); the quadrupole MS instrument gave better precision than the ion trap MS-MS system, but generally the relative standard deviations for replicates were acceptable for both instruments (<15%). Specificity with these two instruments was comparable in the analysis of ground water samples. Recovery tests were made to assess the applicability of the SPME procedure in the quantitative analysis of contaminated groundwaters.

Carbamates↗
PubMed1999

Comparative studies of the leachate of an industrial landfill by gas chromatography-mass spectrometry, liquid chromatography-nuclear magnetic resonance and liquid chromatography-mass spectrometry.

Nowadays, the need to have a realistic characterization of industrial effluents in the environment has become more and more recognized. A palette of different analytical methods both for sample extraction and instrumental analysis are available today, some older, others introduced more recently. The aim of this research is to compare a number of these techniques. To do this we studied a real leachate from an industrial landfill and carried out chemical analyses for organic pollutants, using different extraction methods based on solid-phase extraction and solid-phase microextraction and different instrumental techniques such as GC-MS, LC-MS, NMR and LC-NMR. Results show the performances of the different techniques, which are complementary.

Chromatography, Liquid↗
PubMed1998

Deuterated internal standards for gas chromatographic-mass spectrometric analysis of polar organophosphorus pesticides in water samples.

It is essential to know whether drinking water contains any pesticides up to concentrations close to the European Union limit of 0.1 microgram/l, in order to protect the population. Mass spectrometry (MS) using a suitable internal standard (I.S.) should improve the quantitative analysis of pesticides, the I.S. circumventing loss of compounds during the analytical procedure and correcting the analytical variability. In this study we verified this assumption in GC-MS, synthesising specific internal standards for four organophosphorus pesticides with poor stability, comparing the performances with and without the I.S.

Deuterium↗
PubMed1998

Industrial pollutants in ground waters from northern Milan.

Ground water samples from an industrialised area near Milan were analysed by gas chromatography-mass spectrometry (GC-MS) to identify the main pollutants and to quantify two classes of chemicals: polychloro-1,3-butadienes (PCBD) and some aromatic amines. The water contained several halogenated aromatic and aliphatic compounds and heavy contamination due to PCBD, probably arising from contaminated land where a disused chemical plant is located. All the samples contained low levels of aromatic amines indicating a diffuse contamination probably arising from different sources.

Amines↗
PubMed1997

Computational predictive programs (expert systems) in toxicology.

The increasing number of pollutants in the environment raises the problem of the toxicological risk evaluation of these chemicals. Several so called expert systems (ES) have been claimed to be able to predict toxicity of certain chemical structures. Different approaches are currently used for these ES, based on explicit rules derived from the knowledge of human experts that compiled lists of toxic moieties for instance in the case of programs called HazardExpert and DEREK or relying on statistical approaches, as in the CASE and TOPKAT programs. Here we describe and compare these and other intelligent computer programs because of their utility in obtaining at least a first rough indication of the potential toxic activity of chemicals.

Animals↗
PubMed1996

Solid-phase extraction coupled with electrochemical detection for the determination of the herbicide bromofenoxim in water samples at low- and sub-microgram l-1 levels.

The application of solid-phase extraction (SPE) as a preconcentration and clean-up step with subsequent off-line flow injection amperometric (FI-AD) or batch square-wave voltammetric (SWV) detection of the herbicide bromofenoxim was developed. The selection of an appropriate organic eluent, some parameters influencing the efficiency of the SPE and the electrochemical detection of bromofenoxim in the organic effluent solution were thoroughly investigated. Undiluted acetonitrile with SWV and acetonitrile-water (80 + 20) with FI-AD, both containing 0.1 mol l-1 LiClO4, were chosen as the most appropriate SPE eluents. The addition of LiClO4 as supporting electrolyte to the eluent and acidification of a water sample to 1 x 10(-3) mol l-1 HClO4 (pH 3) prior to the SPE procedure were found to improve greatly the current response on mercury drop (SWV) and mercury film (FI-AD) electrodes. Subsequent to the SPE procedure, the effluents were transferred to the voltammetric cell or injected into the flow injection system without any further treatment. The calibration plots obtained for bromofenoxim in pure water samples were linear over the ranges 0.2-12.0 micrograms l-1 and 3.0-120 micrograms l-1, with calculated detection limits of 0.05 and 1.5 micrograms l-1 (100 ml samples), for the SPE-SWV and SPE-FI-AD procedures, respectively. The actual detection capabilities of the proposed methods depend on the water sample volumes applied to the extraction cartridges. The recoveries of the over-all procedures, applying spiked tap water samples, and the corresponding RSDs were 92% and 6% (n = 6) and 121% and 9% (n = 7) for SPE-SWV and SPE-FI-AD, respectively. The practical applicability of the proposed methods for the analysis of ground and tap water samples was confirmed via an inter-laboratory test on a tap water sample containing five common pesticides including bromofenoxim.

Benzaldehydes↗
PubMed1995

Fate of 1-O-octadecyl-2-O-methyl-rac-glycero-3-phosphocholine (ET18-OME) in malignant cells, normal cells, and isolated and perfused rat liver.

Ether lipids show high specific cytotoxicity in vitro on a wide variety of experimental tumors, but only moderate activity in vivo. One reason for this lack of activity in the whole animal might be a high degree of metabolic degradation. We therefore studied the biotransformation of 1-O-octadecyl-2-O-methyl-rac-glycero-3-phosphocholine ([3H]ET18-OMe) labeled in position 9-10 of the 1-alkyl chain, in rat plasma and erythrocytes, HL60 and K562 leukemic cells, HT29 adenocarcinoma cells, and cultured hepatocytes at 37 degrees C, and in a system of isolated and perfused rat liver. ET18-OMe and its metabolites were identified and quantified after lipid extraction and TLC separation. In tumor cells, 98% of ET18-OMe remained almost unmodified in vitro after 24-hr incubation. Plasma and erythrocytes from rats metabolized only 4-5% of the original compound in 3 hr. In cultured hepatocytes, 35% and 58.3%, respectively, of ET18-OMe was present after 6 and 24 hr as the metabolites 1-O-alkyl-2-O-methylglycerol (AMG), 1-O-alkyl-2-O-methylphosphatidic acid (AMPA), and stearyl alcohol (SA) (products of direct hydrolysis by phospholipases C and D and alkylhydrolase); phospholipids (phosphatidylcholine and phosphatidylethanolamine); and neutral lipids (products of secondary metabolism). In perfused rat liver, approximately 15% of the total radioactivity incorporated after 3 hr was distributed in metabolites as follows: 5.9% of AMPA, 5.0% of AMG, and 3.1% of SA. We conclude that the metabolism of ET18-OMe in normal tissues occurring through the same enzymes that metabolize natural lipids may partly explain the lack of effect in vivo.

Animals↗
PubMed1994

Involvement of a serine protease in the synthesis of platelet-activating factor by endothelial cells stimulated by tumor necrosis factor-alpha or interleukin-1 alpha.

It has been shown that production of platelet-activating factor (PAF, 1-O-alkyl-2-acetyl-sn-glycero-3-phosphocholine) by endothelial cells (EC) stimulated with tumor necrosis factor (TNF)-alpha and interleukin (IL)-1 alpha requires the synthesis of new proteins and is regulated by anti-proteinases. Here, we demonstrate that TNF-alpha and IL-1 alpha induce the expression by EC of a 34-kDa diisopropyl fluorophosphate-binding protein immunoprecipitated by an anti-human elastase antibody. This protein is released in the medium and cleaves the chromogenic substrate N-methoxysuccinyl- Ala-Ala-Pro-Val p-anilide, which is specific for elastase. The generation of this elastase-like protein seems to be important for the synthesis of PAF induced by TNF-alpha and IL-1 alpha, as suggested by the following observations: (a) it precedes the synthesis of PAF; (b) the inhibitors of serine protease and anti-human elastase antibody prevent the synthesis of PAF and the activation of 1-O-alkyl-2-lyso-glycerophosphocholine acetyl-CoA: acetyltransferase, which is a key enzyme of the PAF remodelling pathway; (c) elastase, at concentrations similar to that detectable in the medium of cytokine-activated EC, elicits a rapid synthesis of PAF by EC. High-performance liquid chromatography-tandem mass spectrometric analysis of bioactive PAF demonstrates that the molecular species produced after stimulation of EC with TNF-alpha, IL-1 alpha or elastase are similar, with a predominant synthesis of the alkyl species. These results indicate that TNF-alpha and IL-1 alpha stimulate the production of a serine protease which is critical in the activation of enzymes involved in PAF synthesis, suggesting the potential involvement of this mechanism in the regulation of EC functions.

Acetyltransferases↗