In vivo and in vitro phytochemical and antibacterial efficacy of Baliospermum montanum(Wïlld.) Muell. Arg.

ObjectiveTo evaluate the phytochemical and anti-bacterial potential of mother plants in vivo and in vitro derived callus of Baliospermum montanum (B. montanum) (Willd.) Muell.-Arg. leaves and root.MethodsThe in vitro derived rootlets and leaves segments of B. montanum were cut into 0.5-0.7 cm in length and cultured on Murashige and Skoog solid medium supplemented with 3% sucrose, gelled with 0.7% agar and different concentration of 2, 4-D either alone or in combinations. The preliminary phytochemical screening was performed by Harborne method. Antibacterial efficacy was performed by well diffusion method and incubated for 24 h at 37°C.ResultsThe highest percentage of callus formation (leaves segments 86.9±0.56; root segments 78.7±0.51) was obtained on Murashige and Skoog's basal medium supplemented with 3% sucrose and 2.0 mg/L of 2,4-Dichlorophenoxy acetic acid. The phytochemical study revealed the high quantity presence of steroids, triterpenoids, glycosides, saponins, alkaloids, flavanoids, phenolic compounds, tannins, sugars etc of root and leaves derived calli. The ethanol extract of leaves segment derived calli of B. montanum showed the maximum solubility and antimicrobial activity with the MIC ranged from 100 to 200 μL.ConclusionThe preliminary phytochemical study confirmed that the calli mediated tissues showed the higher percentage of metabolite constituents and extraction value compared to the in vivo leaves and roots. The present study observation suggested that a possibility to establish high yielding genotypes by in vitro culture for production of medicinally important bioactive compounds

Detection and Processing Techniques of FECG Signal for Fetal Monitoring

Fetal electrocardiogram (FECG) signal contains potentially precise information that could assist clinicians in making more appropriate and timely decisions during labor. The ultimate reason for the interest in FECG signal analysis is in clinical diagnosis and biomedical applications. The extraction and detection of the FECG signal from composite abdominal signals with powerful and advance methodologies are becoming very important requirements in fetal monitoring. The purpose of this review paper is to illustrate the various methodologies and developed algorithms on FECG signal detection and analysis to provide efficient and effective ways of understanding the FECG signal and its nature for fetal monitoring. A comparative study has been carried out to show the performance and accuracy of various methods of FECG signal analysis for fetal monitoring. Finally, this paper further focused some of the hardware implementations using electrical signals for monitoring the fetal heart rate. This paper opens up a passage for researchers, physicians, and end users to advocate an excellent understanding of FECG signal and its analysis procedures for fetal heart rate monitoring system

Insecticidal, brine shrimp cytotoxicity, antifungal and nitric oxide free radical scavenging activities of the aerial parts of Myrsine africana L.

The crude methanolic extract and various fractions derived from the aerial parts of Myrsine africana were screened in vitro for possible insecticidal, antifungal, brine shrimp lethality and nitric oxide free radical scavenging activities. Low insecticidal activity (20 %) was shown by chloroform (CHCl3) and aqueous fractions against Tribolium castaneum and Rhizopertha dominica, respectively. Good cytotoxic activity (66.66 %) was shown by the n-hexane fraction of the plant at 1000 μg/ml. The rest of the fractions showed low lethality at higher doses. No antifungal activity was observed for the crude extract and fractions screened against various fungal strains. The plant crude extract and fractions showed a concentration dependent nitric oxide free radical scavenging activity.Key words: Myrsine africana, insecticidal, brine shrimp lethality, antifungal and nitric oxide free radical scavenging assay

Ethnicity and palliative care - we need better data: five key considerations

Good quality data on ethnicity is crucial for demonstrating the extent and impact of ethnic disparities within healthcare. However, data must be collected well and used responsibly. We outline five key considerations: (1) Improvement of ethnic group categories. (2) Sensitive, proportionate and timely data collection. (3) Support for staff collecting data. (4) Building public trust in data. (5) Responsible and contextualised use of ethnicity data. Palliative care seeks to adopt a holistic approach to the person and their total pain. By extending this ethos to ethnicity data collection and use, comprehensive and high-quality data could facilitate monitoring practice and disparities

Cytotoxic Effect of Ethanol Extract of Convolvulus arvensis L (Convolvulaceae) on Lymphoblastic Leukemia Jurkat Cells

Purpose: To evaluate the cytotoxic effect of ethanol extract of aerial parts of Convolvulus arvensis against lymphoblastic leukemia, Jurkat cells.Methods: The aerial parts of C. arvensis were collected, identified, powdered and soaked in ethanol. The extract was filtered and evaporated, and the residue assessed for cytotoxic activity in Jurkat cell line. The cells were exposed to different concentrations (10, 25, 50, 75 and 100 μg/mL) of the extract to determine cell viability, cell proliferation, apoptosis using Trypan blue exclusion assay, 3-(4,5- dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium (MTS) assay and fluorescent activated cell sorter (FACS) analysis, respectively.Results: Trypan blue exclusion assay and MTS assay results indicate that the ethanol extract decreased the number of living cells in a concentration-dependent fashion. The results of FACS analysis showed that the lowest concentration of the extract (10 μg/mL) was most effective for the induction of apoptosis as it induced maximum apoptosis (85.34 %) and the highest concentration (100 μg/mL) was less effective as it induced less apoptosis (53.70 %) in Jurkat cells (p < 0.05).Conclusion: The ethanol extract of C. arvensis has significant cytotoxic activity against the selected cancer cell line. Furthermore, apoptotic effect was more prominent at lower doses and necrosis at higher doses of the extract.Keywords: Convolvulus arvensis; (MTS) 3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4- sulfophenyl)-2H-tetrazolium assay; Trypan blue exclusion assay, Apoptosis, Necrosi

In vitro anti-leishmanial and anti-fungal effects of new SbIII carboxylates

Ring opening of phthalic anhydride has been carried out in acetic acid with glycine, β-alanine, L-phenylalanine, and 4-aminobenzoic acid to yield, respectively, 2-{[(carboxymethyl)amino]carbonyl}benzoic acid (I), 2-{[(2-carboxyethyl)amino]carbonyl}benzoic acid (II), 2-{[(1-carboxy-2-phenylethyl)amino]carbonyl}benzoic acid (III), and 2-[(4-carboxyanilino)carbonyl]benzoic acid (IV). Compounds I-IV have been employed as ligands for Sb(III) center (complexes V-VIII) in aqueous medium. FTIR and 1H NMR spectra proved the deprotonation of carboxylic protons and coordination of imine group and thereby tridentate behaviour of the ligands as chelates. Elemental, MS, and TGA analytic data confirmed the structural hypothesis based on spectroscopic results. All the compounds have been assayed in vitro for anti-leishmanial and anti-fungal activities against five leishmanial strains L. major (JISH118), L. major (MHOM/PK/88/DESTO), L. tropica (K27), L. infantum (LEM3437), L. mex mex (LV4), and L. donovani (H43); and Aspergillus Flavus, Aspergillus Fumigants, Aspergillus Niger, and Fusarium Solani. Compound VII exhibited good anti-leishmanial as well as anti-fungal impacts comparable to reference drugs

Automated parameter estimation for biological models using Bayesian statistical model checking

Background: Probabilistic models have gained widespread acceptance in the systems biology community as a useful way to represent complex biological systems. Such models are developed using existing knowledge of the structure and dynamics of the system, experimental observations, and inferences drawn from statistical analysis of empirical data. A key bottleneck in building such models is that some system variables cannot be measured experimentally. These variables are incorporated into the model as numerical parameters. Determining values of these parameters that justify existing experiments and provide reliable predictions when model simulations are performed is a key research problem. Domain experts usually estimate the values of these parameters by fitting the model to experimental data. Model fitting is usually expressed as an optimization problem that requires minimizing a cost-function which measures some notion of distance between the model and the data. This optimization problem is often solved by combining local and global search methods that tend to perform well for the specific application domain. When some prior information about parameters is available, methods such as Bayesian inference are commonly used for parameter learning. Choosing the appropriate parameter search technique requires detailed domain knowledge and insight into the underlying system. Results: Using an agent-based model of the dynamics of acute inflammation, we demonstrate a novel parameter estimation algorithm by discovering the amount and schedule of doses of bacterial lipopolysaccharide that guarantee a set of observed clinical outcomes with high probability. We synthesized values of twenty-eight unknown parameters such that the parameterized model instantiated with these parameter values satisfies four specifications describing the dynamic behavior of the model. Conclusions: We have developed a new algorithmic technique for discovering parameters in complex stochastic models of biological systems given behavioral specifications written in a formal mathematical logic. Our algorithm uses Bayesian model checking, sequential hypothesis testing, and stochastic optimization to automatically synthesize parameters of probabilistic biological models

Impact of Deleterious Mutations on Structure, Function and Stability of Serum/Glucocorticoid Regulated Kinase 1: A Gene to Diseases Correlation.

Serum and glucocorticoid-regulated kinase 1 (SGK1) is a Ser/Thr protein kinase involved in regulating cell survival, growth, proliferation, and migration. Its elevated expression and dysfunction are reported in breast, prostate, hepatocellular, lung adenoma, and renal carcinomas. We have analyzed the SGK1 mutations to explore their impact at the sequence and structure level by utilizing state-of-the-art computational approaches. Several pathogenic and destabilizing mutations were identified based on their impact on SGK1 and analyzed in detail. Three amino acid substitutions, K127M, T256A, and Y298A, in the kinase domain of SGK1 were identified and incorporated structurally into original coordinates of SGK1 to explore their time evolution impact using all-atom molecular dynamic (MD) simulations for 200 ns. MD results indicate substantial conformational alterations in SGK1, thus its functional loss, particularly upon T256A mutation. This study provides meaningful insights into SGK1 dysfunction upon mutation, leading to disease progression, including cancer, and neurodegeneration

Isolation and biochemical characterizations of the bacteria (Acidovorax avenae subsp. avenae) associated with red stripe disease of sugarcane

Studies on Acidovorax avenae subsp. avenae, associated with red stripe disease of sugarcane was conducted in the Department of Plant Pathology, Pir Mehr Ali Shah Arid Agriculture University Rawalpindi during 2009 to 2010, in collaboration with Shakarganj Sugar Research Institute (SSRI), Jhang, Pakistan. Red stripe of sugarcane were recently observed on promising clones of sugarcane planted in autumn 2009 at Ashaba Research Farm of SSRI. Bacteria were isolated from diseased plants. These isolates yielded off white convex colonies on potato dextrose agar (PDA) media at 29°C with 1.7 to 1.9 mm diameter and were yellow on yeast extract dextrose chalk agar (YDC) media at 27°C with 1.8 to 2.0 mm diameter. The bacteria were rod shape measuring 0.5 to 0.6 × 1.4 to 1.6 μm on PDA and 0.6 to 0.7 × 1.5 to 1.7 μm on YDC. Bacterial culture was stored at different temperature levels for 150 days. Reisolation of bacterial culture which was stored at 4°C showed best result on YDC at 27°C after 150 days, whereas it showed positive result after 120 days on PDA at 29°C. Bacteria were gram negative, citrate utilization was positive, oxidase was negative, catalase was positive and urease was negative. Morphological appearance and biochemical characterizations identified the bacteria as A. avenae subsp. Avenae. In vitro screening for the efficacy of various antibiotics to inhibit the growth of A. avenae subsp. avenae on YDC media showed that ampicillin and vancomycin were most effective. Artificial inoculation on sugarcane against red stripe disease was observed. Observations were made upto six weeks for disease development. Out of 27 varieties, 16 were found resistant, four moderately resistant, five moderately susceptible and two susceptible.Key words: Sugarcane, yeast extract dextrose chalk agar (YDC), potato dextrose agar (PDA), Acidovorax avenae subsp. avenae, biochemical characterization, antibiotics