Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0085631 (agitation)
 12,064 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

A spectrofluorimetric method has been developed for the quantitative determination of mefenamic, flufenamic, and meclofenamic acids in urine samples. The method is based on second-order data multivariate calibration (unfolded partial least squares (unfolded-PLS), multi-way PLS (N-PLS), parallel factor analysis (PARAFAC), self-weighted alternating trilinear decomposition (SWATLD), and bilinear least squares (BLLS)). The analytes were extracted from the urine samples in chloroform prior to the determination. The chloroform extraction was optimized for each analyte, studying the agitation time and the extraction pH, and the optimum values were 10 minutes and pH 3.5, respectively. The concentration ranges in chloroform solution of each of the analytes, used to construct the calibration matrix, were selected in the ranges from 0.15 to 0.8 microg mL-1 for flufenamic and meclofenamic acids and from 0.25 to 3.0 microg mL-1 for mefenamic acid. The combination of chloroform extraction and second-order calibration methods, using the excitation-emission matrices (EEMs) of the three analytes as analytical signals, allowed their simultaneous determination in human urine samples, in the range of approximately 80 mg L-1 to 250 mg L-1, with satisfactory results for all the assayed methods. Improved results over unfolded-PLS and N-PLS were found with PARAFAC, SWATLD, and BLLS, methods that exploit the second-order advantage.
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PMID:Second-order calibration of excitation-emission matrix fluorescence spectra for the determination of N-phenylanthranilic acid derivatives. 1660 76

In this study we have quantified the "epileptogenicity" of several brain regions in seizures originating in the posterior parietal cortex in 17 patients investigated by intracerebral recordings using stereotactic EEG (SEEG). Epileptogenicity of brain structures was quantified according to the "epileptogenicity index" (EI), a way to quantify rapid discharges at seizure onset. Seven patients had maximal epileptogenicity in the superior parietal lobule-BA area 7 (Gr1), 2 patients in the superior parietal lobule-area 5 (Gr2), 4 patients in inferior parietal lobule (Gr3) and 4 in the opercular region (Gr4). A large majority of patients (15/17 (88%)) reported to have at least one aura during the course of their disease. Somato-sensory manifestations were reported in the four groups. Vestibular disturbance was observed mainly in seizures from the superior parietal lobule (Gr1 and 2). Ipsilateral version was the most frequent objective manifestation (64%). Hyperkinetic behaviour (motor agitation) was found to be frequent, observed in 4/17 cases (23%) and observed in seizures from inferior parietal regions. In conclusion, the electrophysiological organization and the clinical manifestations of PLS are various and complex. The subjective manifestations are frequent and often suggestive, therefore must be actively sought.
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PMID:Neural networks underlying parietal lobe seizures: a quantified study from intracerebral recordings. 2122 53

This article contains the experimental and statistical data related to degradation of acetaminophen (paracetamol, APAP) by bacterial strains. The strains used in this study were isolated from wastewater by enrichment culture method. The optimization was important to identify the physical conditions at which the strain degraded the APAP effectively. Therefore, the Box-Behnken design (BBD) was used to know the influence of physical parameters (viz. pH, temperature, agitation speed, and concentration) on the degradation of APAP. The effects of the physical factor on the degradation process were investigated by a mathematical model, and this had indicated that all physical factors having some effect on the biodegradation of the APAP. Analysis of variance (ANOVA) showed that the strains DPP1, DPP3, DKP1, and DKP2 had the F-value of 12.89, 6.45, 4.58, and 5.31, respectively. This indicated, the model was significant with regression coefficient (R) value of 0.01%, 0.06%, 0.37%, and 0.18%, respectively. The experimental values, predicted data, and ANOVA analysis has suggested that the model was satisfactory.
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PMID:Dataset on modeling and optimization analysis of biodegradation of paracetamol. 3257 56