Farnesyltransferase Inhibitors Reduce Ras Activation and Ameliorate Acetaminophen-Induced Liver Injury in Mice

Hepatotoxicity due to overdose of the analgesic and antipyretic acetaminophen (A-PAIP) is a major cause of liver failure in adults. To better understand the contributions of different signaling pathways, the expression and role of Ras activation was evaluated after oral dosing of mice with APAP (400-500 mg/kg). Ras-guanosine triphosphate (GTP) is induced early and in an oxidative stress-dependent manner. The functional role of Ras activation was studied by a single intraperitoneal injection of the neutral sphingomyelinase and farnesyltransferase inhibitor (FTI) manumycin A (I mg/kg), which lowers induction of Ras-GTP and serum amounts of alanine aminotransferase (ALT). APAP dosing decreases hepatic glutathione amounts, which are not affected by manumycin A treatment. However, APAP-induced activation of c-Jun N-terminal kinase, which plays an important role, is reduced by manumycin A. Also, APAP-induced mitochondrial reactive oxygen species are reduced by manumycin A at a later time point during liver injury. Importantly, the induction of genes involved in the inflammatory response (including iNos, gp91phox, and Fasl) and serum amounts of proinflammatory cytokines interferon-gamma (IFN gamma) and tumor necrosis factor alpha, which increase greatly with APAP challenge, are suppressed with manumycin A. The FTI ctivity of manumycin A is most likely involved in reducing APAP-induced liver injury, because a specific neutral sphingomyelinase inhibitor, GW4869 (I mg/kg), did not show any hepatoprotective effect. Notably, a structurally distinct FTI, gliotoxin (I mg/kg), also inhibits Ras activation and reduces serum amounts of ALT and IFN-gamma after APAP dosing. Finally, histological analysis confirmed the hepatoprotective effect f manumycin A and gliotoxin during APAP-induced liver damage. Conclusion: This study identifies a key role for Ras activation and demonstrates the therapeutic efficacy of FTIs during APAP-induced liver injury.

Depression, Anxiety, Psychiatric Comorbidity and Dimensions of Temperament and Personality

This study is part of the Mood Disorders Project conducted by the Department of Mental Health and Alcohol Research, National Public Health Institute, and consists of a general population survey sample and a major depressive disorder (MDD) patient cohort from Vantaa Depression Study (VDS). The general population survey study was conducted in 2003 in the cities of Espoo and Vantaa. The VDS is a collaborative depression research project between the Department of Mental Health and Alcohol Research of the National Public Health Institute and the Department of Psychiatry of the Peijas Medical Care District (PMCD) beginning in 1997. It is a prospective, naturalistic cohort study of 269 secondary-level care psychiatric out- and inpatients with a new episode of Diagnostic and Statistical Manual of Mental Disorders, 4th edition (DSM-IV) MDD. In the general population survey study, a total of 900 participants (300 from Espoo, 600 from Vantaa) aged 20 70 years were randomly drawn from the Population Register Centre in Finland. A self-report booklet, including the Eysenck Personality Inventory (EPI), the Temperament and Character Inventory Revised (TCI-R), the Beck Depression Inventory and the Beck Anxiety Inventory was mailed to all subjects. Altogether 441 participants responded (94 returned only the shortened version without TCI-R) and gave their informed consent. VDS involved screening all patients aged 20-60 years (n=806) in the PMCD for a possible new episode of DSM-IV MDD. 542 consenting patients were interviewed with a semi-structured interview (the WHO Schedules for Clinical Assessment in Neuropsychiatry, version 2.0). 269 patients with a current DSM-IV MDD were included in the study and further interviewed with semi-structured interviews to assess all other axis I and II psychiatric diagnoses. Exclusion criteria were DSM-IV bipolar I and II, schizoaffective disorder, schizophrenia or another psychosis, organic and substance-induced mood disorders. In the present study are included those 193 (139 females, 54 males) individuals who could be followed up at both 6 and 18 months, and their depression had remained unipolar. Personality was investigated with the EPI. Personality dimensions associated not only to the symptoms of depression, but also to the symptoms of anxiety among general population and in depressive patients, as well as to comorbid disorders in MDD patients, supporting the dimensional view of depression and anxiety. Among the general population High Harm Avoidance and low Self-Directedness associated moderately, whereas low extraversion and high neuroticism strongly with the depressive and anxiety symptoms. The personality dimensions, especially high Harm Avoidance, low Self-Directedness and high neuroticism were also somewhat predictive of self-reported use of health care services for psychiatric reasons, and lifetime mental disorder. Moreover, high Harm Avoidance associated with a family history of mental disorder. In depressive patients, neuroticism scores were found to decline markedly and extraversion scores to increase somewhat with recovery. The predictive value of the changes in symptoms of depression and anxiety in explaining follow-up neuroticism was about 1/3 of that of baseline neuroticism. In contrast to neuroticism, the scores of extraversion showed no dependence on the symptoms of anxiety, and the change in the symptoms of depression explained only 1/20 of the follow-up extraversion compared with baseline extraversion. No evidence was found of the scar effect during a one-year follow-up period. Finally, even after controlling for symptoms of both depression and anxiety, depressive patients had a somewhat higher level of neuroticism (odds ratio 1.11, p=0.001) and a slightly lower level of extraversion (odds ratio 0.92, p=0.003) than subjects in the general population. Among MDD patients, a positive dose-exposure relationship appeared to exist between neuroticism and prevalence and number of comorbid axis I and II disorders. A negative relationship existed between level of extraversion and prevalence of comorbid social phobia and cluster C personality disorders. Personality dimensions are associated with the symptoms of depression and anxiety. Futhermore these findings support the hypothesis that high neuroticism and somewhat low extraversion might be vulnerability factors for MDD, and that high neuroticism and low extraversion predispose to comorbid axis I and II disorders among patients with MDD.

Crystal structure of 3-acetylcoumarin-o-aminobenzoylhydrazone and synthesis, spectral and thermal studies of its transition metal complexes

Transition metal [Mn(II), Co(II), Ni(II), Cu(II), Zn(II) and Cd(II)] complexes of a new Schiff base, 3-acetylcoumarin-o-aminobenzoylhydrazone were synthesized and characterized by elemental analyses, magnetic moments, conductivity measurements, spectral [Electronic, IR, H-1 and C-13 NMR, EPR] and thermal studies. The ligand crystallizes in the monoclinic system, space group P2(1)/n with a = 9.201(5), b = 16.596( 9), c = 11.517(6) angstrom, beta= 101.388(9)degrees, V = 1724.2 (17) angstrom(3) and Z = 4. Conductivity measurements indicated Mn(II) and Co(II) complexes to be 1 : 1 electrolytes whereas Ni(II), Cu(II), Zn(II) and Cd(II) complexes are non-electrolytes. Electronic spectra reveal that all the complexes possess four-coordinate geometry around the metal.

Expected Performance of the ATLAS Experiment - Detector, Trigger and Physics

A detailed study is presented of the expected performance of the ATLAS detector. The reconstruction of tracks, leptons, photons, missing energy and jets is investigated, together with the performance of b-tagging and the trigger. The physics potential for a variety of interesting physics processes, within the Standard Model and beyond, is examined. The study comprises a series of notes based on simulations of the detector and physics processes, with particular emphasis given to the data expected from the first years of operation of the LHC at CERN.

Raman spectrum of hydroxylamine hydrochloride (NH3OH.Cl)

The Raman spectrum of hydroxylamine hydrochloride (NH3OH.Cl) in the form of a single crystal has been photographed using�� 2536��5 excitation. 32 Raman lines with frequency shifts 40, 57, 78, 88, 111, 125, 135, 156, 187, 217, 250, 330, 550, 575, 1004, 1168, 1204, 1470, 1496, 1565, 1590, 1979, 2636, 2710, 2750, 2789, 2926, 2970, 3000, 3050, 3141 and 3220 cm.���1 have been recorded. Of these, the first 8 low-frequency lines belong to the external oscillation, while the four lines at 187, 217, 250 and 330 cm.���1 should be attributed to the vibrations of the hydrogen bond valence vibrations. The remaining Raman lines have been assigned to the vibrations of the NH3OH ion. The O-H and N-H stretching vibrations are very much influenced by the presence of the hydrogen bonds in the crystal.

Paper chromatography of higher fatty acids

An attempt has been made to review the literature that has accumulated during the last twelve years on the subject of paper chromatography of higher fatty acids. The various modifications that have been applied to the technique have been considered and their merits and limitations discussed. The important modifications are mainly concerned with the stationary and mobile phases and the use of different reagents for identification and estimation. This technique has also been successfully applied to the quantitative determination of the components of "critical pairs" of fatty acids in biological materials.

Application of reversed phase circular paper chromatography to the analysis of higher fatty acids

A detailed study of various reversed phase systems for the qualitative analysis of fatty acids has been made and it has been shown, among other things, that the liquid paraffin-aqueous methanol system is a most convenient one. The details of a fairly simple and rapid method for the quantitative estimation of higher fatty acids have also been discussed.

Identification, estimation and preparation of fatty acids by circular paper chromatography

A comparatively simple and rapid method for the identification, estimation and preparation of fatty acids has been developed, using reversed phase circular paper chromatography. The method is also suitable for the analysis of ���Critical Pairs��� of fatty acids and for the preparation of fatty acids. Further, when used at a higher temperature, the method is more sensitive in revealing the presence of even traces of higher fatty acids in the seeds of Adenanthera pavonina.

Some new concepts in nonlinear systems

Some new concepts characterizing the response of nonlinear systems are developed. These new concepts are denoted by the terms, the transient system equivalent, the response vector, and the space-phase components. This third concept is analyzed in comparison with the well-known technique of symmetrical components. The performance of a multiplicative feedback control system is represented by a nonlinear integro-differential equation; its solution is obtained by the principle of variation of parameters. The system response is treated as a vector and is resolved into its space-phase components. The individual effects of these components on the performance of the system are discussed. The suitability of the technique for the transient analysis of higher order nonlinear control systems is discussed.

A new FIR filter for image restoration

Image filtering techniques have potential applications in biomedical image processing such as image restoration and image enhancement. The potential of traditional filters largely depends on the apriori knowledge about the type of noise corrupting the image. This makes the standard filters to be application specific. For example, the well-known median filter and its variants can remove the salt-and-pepper (or impulse) noise at low noise levels. Each of these methods has its own advantages and disadvantages. In this paper, we have introduced a new finite impulse response (FIR) filter for image restoration where, the filter undergoes a learning procedure. The filter coefficients are adaptively updated based on correlated Hebbian learning. This algorithm exploits the inter pixel correlation in the form of Hebbian learning and hence performs optimal smoothening of the noisy images. The application of the proposed filter on images corrupted with Gaussian noise, results in restorations which are better in quality compared to those restored by average and Wiener filters. The restored image is found to be visually appealing and artifact-free

Predicting the Timing of Spikes Evoked by Tactile Stimulation of the Hand

Kim SS, Sripati AP, Bensmaia SJ. Predicting the timing of spikes evoked by tactile stimulation of the hand. J Neurophysiol 104: 1484-1496, 2010. First published July 7, 2010; doi: 10.1152/jn.00187.2010. What does the hand tell the brain? Tactile stimulation of the hand evokes remarkably precise patterns of neural activity, suggesting that the timing of individual spikes may convey information. However, many aspects of the transformation of mechanical deformations of the skin into spike trains remain unknown. Here we describe an integrate-and-fire model that accurately predicts the timing of individual spikes evoked by arbitrary mechanical vibrations in three types of mechanoreceptive afferent fibers that innervate the hand. The model accounts for most known properties of the three fiber types, including rectification, frequency-sensitivity, and patterns of spike entrainment as a function of stimulus frequency. These results not only shed light on the mechanisms of mechanotransduction but can be used to provide realistic tactile feedback in upper-limb neuroprostheses.

Effect of magnesium addition and heat treatment on mild wear of hypoeutectic aluminium-silicon alloys

The effect of magnesium addition and subsequent heat treatment on mild wear of a cast hypoeutectic aluminium-silicon alloy when slid against EN 24 steel is studied. Morphology and chemistry of worn surface and subsurface are studied with a view to identify wear mechanism. Stability of an iron-aluminium mixed surface layer was found to be the key factor controlling wear resistance.

Segmenting point-sampled surfaces

Extracting features from point-based representations of geometric surface models is becoming increasingly important for purposes such as model classification, matching, and exploration. In an earlier paper, we proposed a multiphase segmentation process to identify elongated features in point-sampled surface models without the explicit construction of a mesh or other surface representation. The preliminary results demonstrated the strength and potential of the segmentation process, but the resulting segmentations were still of low quality, and the segmentation process could be slow. In this paper, we describe several algorithmic improvements to overcome the shortcomings of the segmentation process. To demonstrate the improved quality of the segmentation and the superior time efficiency of the new segmentation process, we present segmentation results obtained for various point-sampled surface models. We also discuss an application of our segmentation process to extract ridge-separated features in point-sampled surfaces of CAD models.