Extraction, isolation and characterization of bioactive compounds from plants' extracts

Natural products from medicinal plants, either as pure compounds or as standardized extracts, provide unlimited opportunities for new drug leads because of the unmatched availability of chemical diversity. Due to an increasing demand for chemical diversity in screening programs, seeking therapeutic drugs from natural products, interest particularly in edible plants has grown throughout the world. Botanicals and herbal preparations for medicinal usage contain various types of bioactive compounds. The focus of this paper is on the analytical methodologies, which include the extraction, isolation and characterization of active ingredients in botanicals and herbal preparations. The common problems and key challenges in the extraction, isolation and characterization of active ingredients in botanicals and herbal preparations are discussed. As extraction is the most important step in the analysis of constituents present in botanicals and herbal preparations, the strengths and weaknesses of different extraction techniques are discussed. The analysis of bioactive compounds present in the plant extracts involving the applications of common phytochemical screening assays, chromatographic techniques such as HPLC and, TLC as well as non-chromatographic techniques such as immunoassay and Fourier Transform Infra Red (FTIR) are discussed.

Overexpression of α-2,6 sialyltransferase stimulates propagation of human influenza viruses in Vero cells

Human influenza viruses are major concern as the leading cause of global pandemics. In infecting cells, they preferentially bind to sialyloligosaccharides containing terminal N-acetyl sialic acid linked to galactose by an α-2,6-linkage (NeuAcα2,6Gal). The amount of NeuAcα2,6Gal in Vero cells, which are predominantly used for production of influenza vaccines over the past 30 years, may not be as high as that in epithelial cells of human respiratory tract, what leads to the suboptimal virus growth in Vero cells. In this study, we stably transfected Vero cells with cDNA of human α-2,6-sialyltransferase (SIAT1), an enzyme catalyzing α-2,6-sialylation of galactose on glycoproteins. Overexpression of SIAT1 in the transfected Vero cells (Vero-SIAT1 cells) was confirmed by Western blot analysis and immunofluorescence microscopy. Vero-SIAT1 cells expressed 7 times higher amounts of NeuAcα2,6Gal, but 3 times lower amounts of NeuAcα2,3Gal as compared to parental Vero cells. Furthermore, the influenza viruses A (H1N1 and H3N2) and B grew in Vero-SIAT1 cells to the higher titers than in Vero cells. Taken together, these results imply that Vero-SIAT1 cells are useful not only for the propagation of human influenza viruses, but also for the preparation of influenza vaccines.

Evaluation of low-cost cathode catalysts for high yield biohydrogen production in microbial electrolysis cell

As an ideal fuel due to the advantages of no pollution, high combustion heat and abundant sources, hydrogen gas can be produced from organic matter through the electrohydrogenesis process in microbial electrolysis cells. But in many MECs, platinum is often used as catalyst, which limits the practical applications of MECs. To reduce the cost of the MECs, Ni-based alloy cathodes were developed by electrodepositing. In this paper hydrogen production using Ni-W-P cathode was studied for the first time in a single-chamber membrane-free MEC. At an applied voltage of 0.9 V, MECs with Ni-W-P cathodes obtained a hydrogen production rate of 1.09 m3/m3/day with an cathodic hydrogen recovery of 74%, a Coulombic efficiency of 56% and an electrical energy efficiency relative to electrical input of 139%, which was the best result of reports in this study. The Ni-W-P cathode demonstrated a better electrocatalytic activity than the Ni-Ce-P cathode and achieved a comparable performance to the Pt cathode in terms of hydrogen production rate, Coulombic efficiency, cathodic hydrogen recovery and electrical energy efficiency at 0.9 V.

Extraction, isolation and characterization of bioactive compounds from plants' extracts

Natural products from medicinal plants, either as pure compounds or as standardized extracts, provide unlimited opportunities for new drug leads because of the unmatched availability of chemical diversity. Due to an increasing demand for chemical diversity in screening programs, seeking therapeutic drugs from natural products, interest particularly in edible plants has grown throughout the world. Botanicals and herbal preparations for medicinal usage contain various types of bioactive compounds. The focus of this paper is on the analytical methodologies, which include the extraction, isolation and characterization of active ingredients in botanicals and herbal preparations. The common problems and key challenges in the extraction, isolation and characterization of active ingredients in botanicals and herbal preparations are discussed. As extraction is the most important step in the analysis of constituents present in botanicals and herbal preparations, the strengths and weaknesses of different extraction techniques are discussed. The analysis of bioactive compounds present in the plant extracts involving the applications of common phytochemical screening assays, chromatographic techniques such as HPLC and, TLC as well as non-chromatographic techniques such as immunoassay and Fourier Transform Infra Red (FTIR) are discussed.

Analysis of prognosis-related factors in patients with invasive cervical adenocarcinoma

OBJECTIVE

To explore the prognostic related factors in patients with cervical adenocarcinoma.

METHODS

Clinical and pathological data were retrospectively analyzed in 144 patients with cervical adenocarcinoma between 1995 and 2004.

RESULTS

Five-year survival rates were 80.1%, 59.7%, 6.3 % and 0.0%, respectively, in patients with Stage I, II, III and IV cervical adenocarcinoma, and the overall 5-year survival rate was 59.0%. Univariate analysis indicated poor prognosis in non-exophytic tumor, tumor diameter > 4 cm, advanced clinical stage, mucinous adenocarcinoma and clear cell carcinoma, or poorly differentiated tumor. The prognosis was related to lymph node metastasis and deep myometrial invasion. Multivariate analysis indicated that besides clinical stage, myometrial invasion and lymph node metastasis, tumor shape was also an independent prognostic related factor.

CONCLUSION

The prognosis is associated with tumor shape besides pre-confirmed clinical stage, myometrial invasion and lymph node metastasis. Ovarian preservation in young women remains to be further explored.

Urine nitrification and sewer discharge to realize in-sewer denitrification to simplify sewage treatment in Hong Kong

The chemically enhanced primary treatment works in Hong Kong will be upgraded for biological nitrogen removal. This study proposed a novel approach to waive the upgrading by urine source-separation, onsite nitrification and discharge of nitrified urine into sewers to achieve in-sewer denitrification. Human urine was collected and a lab-scale experiment for full urine nitrification was conducted. The results showed that full nitrification was achieved with alkaline addition. Simulation of nitrified urine discharge into an 8-km pressure main in Hong Kong was conducted with a quasi-2D dynamic sewer model developed from a previously calibrated sewer biofilm model. It was assumed that 70% of the residents' urine was collected and fully nitrified on-site. The simulation results revealed that the proposed approach is effective in removal of nitrogen within the sewer, which decreases ammonia-N at the sewer outlet to a level required for secondary effluent discharge in Hong Kong.

Search for quark compositeness with the dijet centrality ratio in pp collisions at √s=7 TeV

A search for quark compositeness in the form of quark contact interactions, based on hadronic jet pairs (dijets) produced in proton-proton collisions at √s=7 TeV, is described. The data sample of the study corresponds to an integrated luminosity of 2.9 pb(-1) collected with the CMS detector at the LHC. The dijet centrality ratio, which quantifies the angular distribution of the dijets, is measured as a function of the invariant mass of the dijet system and is found to agree with the predictions of the standard model. A statistical analysis of the data provides a lower limit on the energy scale of quark contact interactions. The sensitivity of the analysis is such that the expected limit is 2.9 TeV; because the observed value of the centrality ratio at high invariant mass is below the expectation, the observed limit is 4.0 TeV at the 95% confidence level.

Evidence for ψ' decays into γπ0 and γη

The decays ψ'→γπ(0), γη and γη' are studied using data collected with the BESIII detector at the BEPCII e(+)e(-) collider. The processes ψ'→γπ(0) and ψ'→γη are observed for the first time with signal significances of 4.6σ and 4.3σ, respectively. The branching fractions are determined to be B(ψ'→γπ(0))=(1.58±0.40±0.13)×10(-6), B(ψ'→γη)=(1.38±0.48±0.09)×10(-6), and B(ψ'→γη')=(126±3±8)×10(-6), where the first errors are statistical and the second ones systematic.

Quantification of cerebral blood flow as biomarker of drug effect: arterial spin labeling phMRI after a single dose of oral citalopram

Arterial spin labeling (ASL) allows noninvasive quantification of cerebral blood flow (CBF), which can be used as a biomarker of drug effects in pharmacological magnetic resonance imaging (phMRI). In a double-blind, placebo-controlled crossover study, we investigated the effects of a single oral dose of citalopram (20 mg) on resting CBF in 12 healthy subjects, using ASL phMRI. Support-vector machine (SVM) analysis detected significant drug-induced reduction in CBF in brain regions including the amygdala, fusiform gyrus, insula, and orbitofrontal cortex. These regions have been shown to have abnormally elevated CBF in patients with major depression, as well as in subjects genetically prone to depression. Mixed-effects analysis on data extracted from selected regions of interest (ROIs) revealed significant drug effect only in serotonergic areas of the brain (z = -4.45, P < 0.005). These results demonstrate the utility of ASL phMRI as a biomarker of pharmacological activity of orally administered drugs in the brain.

Abstract P2-09-32: Estrogen Receptor-Related Genes Are Important Predictors of Response to Neo-Adjuvant Chemotherapy in Breast Cancer

Background: Clinical data suggest a contribution of estrogen receptor (ER) to chemotherapy response. However, ER status alone is not perfectly predictive, and there is an urgent need for more reliable markers of chemotherapy responsiveness. In this study, we set out to find novel ER-related genes in predicting chemotherapy response by microarrays, hoping to provide more robust multi-variable prediction to chemotherapy. Material and Methods: One hundred and ten patients with stage II-III breast cancer were included, receiving preoperative four cycles of weekly PCb (paclitaxel plus carboplatin) regimen. Pretreatment gene expression profiling was performed with gene microarrays on core biopsy specimens. 55 training cases were used for marker discovery and to identify any ER-related genes that might be associated with response (“training cases”), and the other 55 patients were available as an independent validation set (“validation cases”) to test whether the ER-related genes do predict pCR in protein levels by immunohistochemistry (IHC). Results: In the training cases, the yield of total RNA was insufficient to assay in 16 patients and 8 chips failed in the quality check (QC) process. Therefore, gene expression profile from 31 samples were available for this study. The overall pCR rate in the 86 patients was 19.7% (n=17, 6 cases of pCR in training set and 11 pCR in validation set). In the training set, by Significance Analysis of Microarrays (SAM), 300 probes (231 genes) were identified as differentially expressed between pCR versus non-pCR when fold change &gt; 2. There were 20 differentially expressed genes, setting fold change &gt; 3. Among these 20 genes, TFF1, ESR1, GATA3, TFF3 were found as ER-related. In 55 independent validation cases, univariate analysis indicated that clinical variables and ER-related genes, including ER, PR, GATA3, TFF1 and TFF3 were all significantly associated with pCR (Pearson x2, P&lt;0.001, P=0.013, P&lt;0.001, P&lt;0.001, P&lt;0.001). Multivariate logistic regression model showed that ER (P=0.016) remained significantly associated with complete remission. In spearman analysis, these 5 ER-related genes were significantly correlated with each other (P&lt;0.05). It was found that pCR rate was as high as 80% (4/5) when these 5 factors were all negative. In contrast, these 5 factors were all positive in 7 of 9 PD/SD patients.

Discussion: ER combined with ER-related genes expression status may provide important predictive value of response to neoadjuvant chemotherapy and allows to identify a subgroup of patients who might highly benefit from chemotherapy and who might be resistant to it.

Citation Information: Cancer Res 2010;70(24 Suppl):Abstract nr P2-09-32.

Proteomic analysis of human serum for finding pathogenic factors and potential biomarkers in preeclampsia

OBJECTIVE(S)

To apply a novel proteomic method to discover potential pathogenic factors and biomarkers of preeclampsia.

STUDY DESIGN

Sera from five patients complicated with preeclampsia and five healthy pregnant controls were separately pooled. Each pool was treated with peptide ligand library beads (PLLBs) to remove high abundance proteins by affinity and thus enrich low abundance proteins. The proteins from the eluate were analyzed by a combination of 1D Gel-LC-MS/MS. Protein expression levels were quantified using spectral counts and the extracted ion current.

RESULTS

1172 unique proteins in preeclampsia and 1149 in healthy controls were identified in the present study. 51 proteins were differentially expressed between preeclampsia and healthy pregnant women including chorionic somatommammptropin hormone (CSH) and fibulin-1. 31 proteins identified were up-regulated and 20 were down-regulated.

CONCLUSIONS

The results demonstrate that peptide ligand library combining with 1D gel-LC-MS/MS analysis is an efficient method to identify differentially expressed proteins in sera and two biological processes of complement and coagulation activations and lipid metabolism were involved in the pathogenesis of preeclampsia.

Standardization of data analysis and reporting of results from the International Spinal Cord Injury Core Data Set

OBJECTIVES

The objective of this study was to provide guidelines for reporting results using the International Spinal Cord Injury (SCI) Core Data Set.

SETTING

International.

METHODS

A committee was created on request of the chair of the Executive Committee for the International SCI Data Set committees. The committee developed a draft consisting of set of recommendations, which were then reviewed and approved by the entire Executive Committee.

RESULTS

Age at injury is recommended as reported by the mean, s.d., median and range. When grouped, 15-year increments are recommended as follows: 0-15, 16-30, 31-45, 46-60, 61-75 and 76+ years. For pediatric SCI, 0-5, 6-12, 13-15, 16-21 years are recommended. Time since injury should be reported by mean, s.d., median and range. The following intervals are recommended: <1 year, 1-5, 6-10, 11-15 years, and 5-year increments thereafter. Calendar time (years during which the study is conducted) is recommended grouped by either 5 or 10-year increments with years ending in 4 or 9. For 'length of stay', the mean and s.d., as well as the median is recommended for report. Severity of injury is under ordinary circumstances recommended, reported in five categories: C1-4 American Spinal Injury Association Impairment Scale grade (AIS) A, B or C; C5-8 AIS A, B or C; T1-S5 AIS A, B, or C; AIS D at any injury level; and ventilator dependent at any injury level or AIS grade.

CONCLUSION

It is expected that these recommendations can facilitate a more uniform reporting of the very basic core data on SCI. This will facilitate comparison between different SCI studies.

Optofluidic microcavities: Dye-lasers and biosensors

Optofluidic microcavities are integrated elements of microfluidics that can be explored for a large variety of applications. In this review, we first introduce the physics basis of optical microcavities and microflow control. Then, we describe four types of optofluidic dye lasers developed so far based on both simple and advanced device fabrication technologies. To illustrate the application potential of such devices, we present two types of laser intracavity measurements for chemical solution and single cell analyses. In addition, the possibility of single molecule detection is discussed. All these recent achievements demonstrated the great importance of the topics in biology and several other disciplines.

Variation of human papillomavirus 16 in cervical and lung cancers in Sichuan, China

Although the crucial role of human papillomaviruses (HPVs), especially HPV-16 in various cancers has been confirmed, the variation of HPV-16 among different cancers have not been investigated in a specific geographic location. In order to elucidate whether similar HPV-16 variants are involved in different kinds of cancers in the same geographic location, the analysis of sequence variants of E6 and E7 oncogenes and L1 gene of HPV-16 in cervical and lung cancers in Sichuan, China, was carried out. Tissue samples from 122 cervical cancers, 104 lung cancers, and 138 controls were subjected to RT-PCR or PCR, sequencing, and sequence analysis. The infection rates of HPV-16 in cervical, lung cancers, and non-malignant controls were 68.9%, 17.3%, and 37.0%, respectively. Asian prototype variants prevailed in cervical and lung cancers, while European prototype variants in non-malignant controls. In comparison to the lung cancer, cervical cancer showed a much higher diversity of HPV-16 oncogenes. These results indicate that in Sichuan, China, Asian prototype variants of HPV-16 are more pathogenic than their European counterparts.

Search for dijet resonances in 7 TeV pp collisions at CMS

A search for narrow resonances in the dijet mass spectrum is performed using data corresponding to an integrated luminosity of 2.9 pb⁻¹ collected by the CMS experiment at the Large Hadron Collider. Upper limits at the 95% confidence level are presented on the product of the resonance cross section, branching fraction into dijets, and acceptance, separately for decays into quark-quark, quark-gluon, or gluon-gluon pairs. The data exclude new particles predicted in the following models at the 95% confidence level: string resonances, with mass less than 2.50 TeV, excited quarks, with mass less than 1.58 TeV, and axigluons, colorons, and E6 diquarks, in specific mass intervals. This extends previously published limits on these models.