914 resultados para Classifier Combination


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It is standard clinical practice to use a combination of two or more antimicrobial agents to treat an infection caused by Pseudonionas aeruginosa. The antibiotic combinations are usually selected empirically with methods to determine the antimicrobial effect of the combination such as the time-kill assay rarely used as they are time-consuming and labour intensive to perforin. Here, we report a modified time-kill assay, based on the reduction of the tetrazolium salt, 2,3-bis[2-methyloxy-4-nitro-5-sulfopheny1]-2H-tetrazolium-5-carboxanilide (XTT), that allows simple, inexpensive and more rapid determination of the in vitro activity of antibiotic combinations against P aeruginosa. The assay was used to determine the in vitro activity of ceftazidime and tobramycin in combination against P. aertiginosa isolates from cystic fibrosis patients and the results obtained compared with those from conventional viable count time-kill assays. There was good agreement in interpretation of results obtained by the XTT and conventional viable count assays, with similar growth curves apparent and the most effective concentration combinations determined by both methods identical for all isolates tested. The XTT assay clearly indicated whether an antibiotic combination had a synergistic, indifferent or antagonistic effect and could, therefore, provide a useful method for rapidly determining the activity of a large number of antibiotic combinations against clinical isolates. (C) 2004 Elsevier B.V. All rights reserved.

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In this paper, we propose an adaptive approach to merging possibilistic knowledge bases that deploys multiple operators instead of a single operator in the merging process. The merging approach consists of two steps: one is called the splitting step and the other is called the combination step. The splitting step splits each knowledge base into two subbases and then in the second step, different classes of subbases are combined using different operators. Our approach is applied to knowledge bases which are self-consistent and the result of merging is also a consistent knowledge base. Two operators are proposed based on two different splitting methods. Both operators result in a possibilistic knowledge base which contains more information than that obtained by the t-conorm (such as the maximum) based merging methods. In the flat case, one of the operators provides a good alternative to syntax-based merging operators in classical logic.

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Purpose: Up to now, there have been no established predictive markers for response to epidermal growth factor receptor (EGFR/HER1/erbB1) inhibitors alone and in combination with chemotherapy in colorectal cancer. To identify markers that predict response to EGFR-based chemotherapy regimens, we analyzed the response of human colorectal cancer cell lines to the EGFR-tyrosine kinase inhibitor, gefitinib (Iressa, AstraZeneca, Wilmington, DE), as a single agent and in combination with oxaliplatin and 5-fluorouracil (5-FU). Experimental Design: Cell viability was assessed using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide and crystal violet cell viability assays and analyzed by ANOVA. Apoptosis was measured by flow cytometry, poly(ADP-ribose) polymerase, and caspase 3 cleavage. EGFR protein phosphorylation was detected by Western blotting. Results: Cell lines displaying high constitutive EGFR phosphorylation (a surrogate marker for EGFR activity) were more sensitive to gefitinib. Furthermore, in cell lines exhibiting low constitutive EGFR phosphorylation, an antagonistic interaction between gefitinib and oxaliplatin was observed, whereas in cell lines with high basal EGFR phosphorylation, the interaction was synergistic. In addition, oxaliplatin treatment increased EGFR phosphorylation in those cell lines in which oxaliplatin and gefitinib were synergistic but down-regulated EGFR phosphorylation in those lines in which oxaliplatin and gefitinib were antagonistic. In contrast to oxaliplatin, 5-FU treatment increased EGFR phosphorylation in all cell lines and this correlated with synergistic decreases in cell viability when 5-FU was combined with gefitinib. Conclusions: These results suggest that phospho-EGFR levels determine the sensitivity of colorectal cancer cells to gefitinib alone and that chemotherapy-mediated changes in phospho-EGFR levels determine the nature of interaction between gefitinib and chemotherapy.

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Summary Bortezomib (formerly PS-341) has significant activity in patients with relapsed multiple myeloma (MM), its efficacy is increased with the addition of dexamethasone and it demonstrates synergy with doxorubicin, thus providing the rationale for combination therapy with bortezomib, doxorubicin and dexamethasone (PAD). Patients with untreated MM received four 21-d cycles of PAD, comprising bortezomib 1·3 mg/m2 on days 1, 4, 8 and 11, along with dexamethasone 40 mg on days 1–4, 8–11 and 15–18 during cycle 1 and days 1–4 during cycles 2–4. During days 1–4, patients also received 0, 4·5 or 9 mg/m2 of doxorubicin at dose levels 1, 2, and 3 respectively. Following peripheral blood stem cell (PBSC) collection, patients received high-dose melphalan (MEL200) with PBSC transplantation (PBSCT). After PAD induction alone, 20 of 21 patients (95%) achieved at least a partial response (PR), including complete response (CR) in five patients (24%). Twenty of 21 had PBSC mobilized, and 18 of 20 received MEL200/PBSCT. In an intention-to-treat analysis, response rates were: CR 43%, near CR 14%, very good PR 24%, PR 14% and stable disease 5%. PAD was effective, did not prejudice subsequent PBSC collection, and should be further evaluated in prospective randomized trials.

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Cultured cerebellar granule neurons (CGN) are commonly used to assess neurotoxicity, but are routinely maintained in supraphysiological (25 mM) extracellular K+ concentrations [K+]o. We investigated the effect of potassium channel blockade on survival of CGN derived from Swiss-Webster mice in supraphysiological (25 mM) and physiological (5.6 mM) [K+]o. CGN were cultured for 5 days in 25 mM K+, then in 5.6 mM K+ or 25 mM K+ (control). Viability, assayed 24 h later by 3-(4,5-dimethylthiazolyl-2)-2,5-diphenyltetrazolium bromide (MTT) reduction and by lactate dehydrogenase (LDH) release, was ∼50% in 5.6 mM K+ versus 25 mM K+ (p < .001). Potassium channel blockers, 2 mM 4-aminopyridine (4-AP), 2 mM tetraethylammonium (TEA) or 1 mM Ba2+, individually afforded limited protection in 5.6 mM K+. However, survival in 5.6 mM K+ with a combination of 4-AP, TEA and Ba2+ was similar to survival in 25 mM K+ without blockers (p < .001 versus 5.6 mM K+ alone). CGN survival in 25 mM K+ was attenuated 25% by 2 μM nifedipine (p > .001), but nifedipine did not attenuate neuroprotection by K+ channel blockers. Together, these results suggest that the survival of CGN depends on the K+ permeability of the membrane rather than the activity of a particular type of K+ channel, and that the mechanism of neuroprotection by K+ channel blockers is different from that of elevated [K+]o.

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The coronavirus main protease, Mpro, is considered to be a major target for drugs suitable for combating coronavirus infections including severe acute respiratory syndrome (SARS). An HPLC-based screening of electrophilic compounds that was performed to identify potential Mpro inhibitors revealed etacrynic acid tert-butylamide (6a) as an effective nonpeptidic inhibitor. Docking studies suggested a binding mode in which the phenyl ring acts as a spacer bridging the inhibitor's activated double bond and its hydrophobic tert-butyl moiety. The latter is supposed to fit into the S4 pocket of the target protease. Furthermore, these studies revealed etacrynic acid amide (6b) as a promising lead for nonpeptidic active-site-directed Mpro inhibitors. In a fluorimetric enzyme assay using a novel fluorescence resonance energy transfer (FRET) pair labeled substrate, compound 6b showed a Ki value of 35.3 M. Since the novel lead compound does not target the S1', S1, and S2 subsites of the enzyme's substrate-binding pockets, there is room for improvement that underlines the lead character of compound 6b.