Chemical composition and insecticidal activity of essential oils from cultivated and native aromatic plants of Argentina against Carpophilus dimidiatus (Fabricius) (Nitidulidae) and Oryzaephilus mercator (L.) (Silvanidae).

Essential oils from aerial parts of six aromatic plants were analysed by GC-MS. The major compounds identified were γ-terpinene (11.5%), cuminaldehyde (26.6%) and γ-terpinen-7-al (40.6%) in Cuminum cyminum, trans-anethol (95.2%) in Pimpinella anisum, α-pinene (11.6%), limonene (21.0%), ß-caryophyllene (22.3%) and α-humulene (16.7%) in Lippia integrifolia, limonene (40.8%) and artemisia ketone (19.3%) in Lippia junelliana, trans-ß-ocimene (15.6%), 4-ethyl-4-methyl-1-hexene (24.5%), trans-tagetone (20.5%) and verbenone (27.2%) in Tagetes minuta, 1,8-cineole (17.9%),elixene (10.3%) and spathulenol (13.8%) in Aloysia gratissima. Oils with strong insecticidal activity on Carpophilus dimidiatus and Oryzaephilus mercator were from P. anisum (LC50 = 4 µl/L; LC100 = 10 µl/L) and T. minuta (LC50=10.19-12.57 µl/L; LC100=20 µl/L). Scents of C. cyminum and L. junelliana were strong insecticides on O. mercator (LC50=7.02-7.17 µl/L; LC100=10.00-20.00 µl/L). The insecticidal activity was associated to the whole content of C10 molecules and oxygenated constituents. The P. anisum oil is promising as protective agent of nut products.

QSAR Study of Biologically Active Essential Oils against Beetles Infesting the Walnut in Catamarca, Argentina.

Essential oils from six species of aromatic plants collected in the Catamarca Province of Argentina were evaluated for their chemical composition and repellent and insecticidal activities against beetles of the genus Carpophilus (Coleoptera: Nitidulidae) and Oryzaephilus (Coleoptera: Silvanidae) that infest the local walnut production. Experimental data were analyzed using generalized estimating equations, with normal distribution and the identity link function. From the spectral information from the tested essential oils, we worked their molecular modeling as mixtures by developing mixture descriptors ( Dmix) that combined the molecular descriptor of each component in the mixture ( d i) and its relative concentration ( x i), i.e., Dmix = f( d i, x i). The application of chemoinformatic approaches determined that a combination of mixture descriptors related to molecular size, branchedness, charge distribution, and electronegativity were useful to explain the bioactivity profile against Carpophilus spp. and Oryzaephilus spp. The reported models were rigorously validated using stringent statistical parameters and essential oils reported with repellent activity against other beetle species from the Nitidulidae and Silvanidae families. This model confirmed each essential oil as a repellent with a comparable performance to the experimental reports.

Fasciolasis hepática: presentación de un paciente / Hepatic fascioliasis: report of a patient

Se presenta un paciente con fiebre de origen desconocido, dolor abdominal, eosinofilia e imágenes nodulares hepáticas observadas en ultrasonido y tomografía axial computadorizada abdominal sugestivas, en un inicio, de hígado polimetastásico; hallazgos laparoscópicos en la glándula hepática mostraron una larva migrans visceral y, posteriormente, por la técnica de copa cónica, en las heces fecales aparecieron huevos de Fasciola hepática. Se decidió tratamiento con triclabendazol en dos dosis; la respuesta terapéutica fue buena(AU)

QSAR study for carcinogenicity in a large set of organic compounds.

In our continuing efforts to find out acceptable Absorption, Distribution, Metabolization, Elimination and Toxicity (ADMET) properties of organic compounds, we establish linear QSAR models for the carcinogenic potential prediction of 1464 compounds taken from the "Galvez data set", that include many marketed drugs. More than a thousand of geometry-independent molecular descriptors are simultaneously analyzed, obtained with the softwares E-Dragon and Recon. The variable subset selection method employed is the Replacement Method, and also the improved version Enhanced Replacement Method. The established models are properly validated through an external test set of compounds, and by means of the Leave-Group-Out Cross Validation method. In addition, we apply the Y-Randomization strategy and analyze the Applicability Domain of the developed model. Finally, we compare the results obtained in present study with the previous ones from the literature. The novelty of present work relies on the development of an alternative predictive structure-carcinogenicity relationship in a large heterogeneous set of organic compounds, by only using a reduced number of geometry independent molecular descriptors.

Study of the structural and electronic properties of valproic acid and new derivatives used as anticonvulsant agents.

The conformational and electronic characteristics of the polar O(9)═C(8)-X(10) moiety in the anticonvulsant valproic acid (Vpa) drug and some of their amides and ester derivatives are analyzed at the B3LYP level using the 6-31+G(d,p) and 6-311++G(d,p) 6d,10f basis sets. Exploring the delocalization of the electron density of the O(9)═C(8)-X(10) moiety by means of ELF, NBO, and AIM calculations, we found that the bending away from coplanarity of the atoms in O(9)═C(8)-X(10) is accompanied by a three-dimensional arrangement of donor and acceptor proton units closing nearly planar pseudorings of four, five, and six members arising from stabilizing interactions around the O(9)═C(8)-X(10) backbone. From the structure-property relationship analysis, we explain the origin of the change in the structural parameters and atomic charges in the polar moiety.

Theoretical characterization of SOME amides and esters DERIVATIVES of valproic acid.

The equilibrium structures, the planarity of the C(=O)X linkage and the nature of the chemical bond in the Y-C(=O)-XR(1)R(2) [where: Y= -CH-(CH(2)-CH(2)-CH(3))(2), X=N,O and R(1), R(2)= H; alkyl and aryl groups and lone pair electrons (lp)] molecular fragment of derivates of Valproic acid (Vpa) with antiepileptic activity were studied systematically by means of B3LYP calculations and topological analysis of the electron localization function (ELF). The covariance parameter cov[Omega(i), Omega(j)] reveals a dominating delocalization effect between the lone pair V(O(1)), V(X) and the electron density of the H-C and H-X(1) bonds resulting from the existence of not only non-conventional intramolecular hydrogen bonding patterns as C-H...O/N but also a weak closed-shell stabilizing interaction type arising from a dihydrogen bonding as C-H...H-N, where H...H contacts at a significantly shorter distance than twice the hydrogen atom van der Waals radius. The analyzed data derived from ELF domains were found to be in agreement with the known features and properties of the hydrogen bonding interactions discussed in this work.

[The use of statistical methods in 2 medical journals with high impact factor]. / Uso de métodos estadísticos en dos revistas médicas con alto factor de impacto.

This paper intends to contribute to the discussion about the use of statistical techniques within the current biomedical and health investigation. We hypothesized that statistical methods necessary to go ahead with most high level research were rather small. Two high impact factor journals about epidemiology and health sciences were selected: New England Journal of Medicine and American Journal of Epidemiology. Both represent what we have called "successful research". The 2386 original and special articles which were published along the 1986-1990 period were carefully examined. Each statistical technique was classified into one of four complexity levels. Each paper was eventually classified on the same grounds. The frequency of each method was used within each level was then accounted. Statistical cited literature was also registered for each article. Finally, a descriptive examination of this information was developed. The results show that techniques widely dominant are those classified as from lower levels. Only the 12% for New England Journal of Medicine, and 17% for American Journal of Epidemiology belong to the most complex type. It was shown that current biomedical research dismisses, to a large extent both, complex statistical techniques and specialized statistical literature. In general, it limits itself to resources no more ahead than elementary multivariate procedures. It was concluded that simpler statistical methods are useful enough not only to understand what is currently published in journals like the ones studied but to produce high level results as well.