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Antagonism of maximal metrazol seizures in rats and its relevance to an experimental classification of antiepileptic drugs.

The antagonism of various components of maximal Metrazol-seizures (MMS) (i.e. tonic hindpaw extension, tonic backward extension of the forepaws, generalized clonic seizures and tremors), ataxia and loss of righting reflex-activity have been studied in a standardized procedure comparing 41 antiepileptics and related compounds. Appropriate analyses (Cluster Analysis and Principal Component Analysis) resulted in the distinction of seven clusters which could be considered along two continua. A first continuum is characterized by a progressive strengthening of loss of righting reflex-inducing properties, a decreasing dissociation of ataxia and loss of righting reflex and the disappearance of a selective anticonvulsant effect. The second continuum is characterized by an increasing relative potency of ataxia-inducing properties, an increasing dissociation of ataxia and loss of righting reflex and a decreasing antagonism of tremors. Three main types of anticonvulsants could be defined: drugs with a complete anti-MMS effect antagonizing both clonic and tonic seizures; drugs selectively abolishing tonic seizures, i.e., tonic extension of hind- and forepaws; and drugs exclusively blocking tonic hind-paw extension. The neurological and clinical significance of these different types of anticonvulsant activity has been discussed. Finally, the described modification of the maximal Metrazol-seizures test is proposed for routine screening purposes.

Animals↗

A priori molecular descriptors in QSAR: a case of HIV-1 protease inhibitors. I. The chemometric approach.

A quantitative structure-activity relationship (QSAR) study on 48 peptidic HIV-1 protease inhibitors was performed. Fourteen a priori molecular descriptors were used to build QSAR models. Hierarchical cluster analysis (HCA), principal component analysis (PCA) and partial least squares (PLS) regression were employed. PLS models with 32/16 (model I) and 48/0 (model II) molecules in the training/external validation set were constructed. The a priori molecular descriptors were related to two energetic variables using PLS. HCA and PCA on data from model II classified the inhibitors as slightly, moderately and highly active; three principal components, the chemical nature of which has been highlighted, are enough to describe the enzyme-inhibitor binding. Model I (r(2)=0.91, q(2)=0.84) is comparable to literature models obtained by various QSAR softwares, which justified the use of a priori descriptors.

Computer Simulation↗

[Relationship between dietary fiber intake and food intake patterns of the general population, evaluated by a regional nutrition survey].

This study was performed to estimate the dietary fiber intake calculated using individual food intake data and the dietary fiber tables, and to ascertain the relationship between food intake patterns and dietary fiber intake of the general population. The 805 subjects over 15 years old were obtained from the Tottori Prefecture Nutrition Survey. The results are summarized as follows: 1. The average dietary fiber intake per capita per day was 18.19 g; 18.67 g in men, and 17.81 g in women. Dietary fiber intake per energy was different among sexes and ages: women had more dietary fiber than men and the aged had more than the young. Those who had high fiber intake per energy took green vegetables, fruits, milk, soybean products, seaweed and potatoes more frequently, and did not take oil so frequently. 2. Total dietary fiber intake from 20 food-group sources was analyzed by Multiple Regression Analysis. For both men and women fruits, vegetables and soybean products mostly influenced dietary fiber intake. 3. Based on the intake of the 20 food-groups obtained from 356 men and 449 women, the correlation matrix among these foods was calculated. The correlation matrix was also submitted to a Principal Component Analysis. The result of the Principal Component Analysis told that food intake patterns were different among the levels of dietary fiber intake. Food intake patterns of men and women who had high fiber intake per energy had an eating pattern characterized by relatively more non-processed vegetable food, bread and milk. 4. The level of blood pressure was significantly related to dietary fiber intake per energy in men over 60 years old. In the hypertensive men over 60 years old, 23.3% were in the low fiber intake group, 37.2% in the middle group, and 39.5% in the high group. But in the normal blood pressure men over 60 years old, 50.0% were in the low fiber intake group, 8.3% in the middle group, and 41.7% in the high group.

Adolescent↗

ECG data compression using Hebbian neural networks.

Principal component analysis has long been used for a variety of signal processing applications, including signal compression. Neural network implementations of principal component analysis provide a means for unsupervised feature discovery and dimension reduction. In this paper, we describe a method for the compression of ECG data using principal component analysis. Hebbian neural networks were used for principal components computation. A variety of examples of normal and pathological ECGs obtained from the MIT ECG database demonstrate that the proposed method can provide compression ratio up to 30 with PRD% less than 5%.

Algorithms↗

[The effect of L-threo-DOPS on P-300 in parkinsonism].

The P-300 has been recently utilized as an objective electrophysiological index of cognitive function in some neurological disease. Hansch et al first described prolonged latency for the P-300 component in Parkinson disease patients and suggested these measures reflects a common, disrupted aspect of cognitive function in this disease. This cognitive disorder may be caused not only from the dysfunction of dopaminergic system but from non-dopaminergic lesions such as norepinephrine ones. On the other hand, L-threo-DOPS, a non-physiological precursor of norepinephrine, has been used for the treatment of some neurological illness such as the freezing phenomenon in Parkinsonism. In the present study we investigate the effect of L-threo-DOPS on cognitive function in Parkinsonism by measuring P-300 component succeedingly. Twenty-four patients, i.e. 19 cases of Parkinson disease (PD), 3 Juvenile Parkinsonism (JP) and 2 cerebrovascular Parkinsonism, are studied. The latencies of P-300 are significantly shortened after treatment of DOPS compared with those of the previous treatment and placebo administration respectively (p less than 0.05, p less than 0.01). The main factors which have influence upon these shortened latencies are analyzed multivariate analysis. The factor analysis and principal component analysis suggest three main factors such as DOPS, age (onset of age), and duration of illness. The patients' groups are divided into three by cluster analysis. The most effective group mainly consists of JP. The least effective one mainly consists of older, long-duration Parkinson disease patients. And there is another group which consists of younger, short-duration PD cases with moderate effect of DOPS. This tendency seems to suggest the different pathological findings between JP and PD. It is postulated that L-threo-DOPS would raise the level of attention and arousal mediated by norepinephrine neuronal system which may improve the cognitive disorder in Parkinsonism.

Aged↗

Experiences with the severity scoring of atopic dermatitis in a population of German pre-school children.

Severity scoring of atopic dermatitis (SCORAD) was introduced as a standard tool but has not been used in a population-based epidemiological study; the objective of the present study was to determine the practicability of this instrument in this setting. We assessed the distribution of the severity of atopic eczema in the community and investigated differences between east and west Germany. A factor analysis was then carried out to characterize the variables of this scoring system and to analyse possible relationships within them. A multicentre cross-sectional study was carried out in five east German and two west German locations in 1994; pre-school children (5-6 years old) were investigated and cases of atopic eczema identified by a dermatological examination. The SCORAD was used to determine the severity of atopic eczema and the results assessed using analysis of variance and principal component analysis (varimax rotation). In all, 1511 (76.2%) of the children originally contacted participated and 11.3% were diagnosed with atopic eczema at the time of examination. The median severity scores was 21.4 (interquartile range 13.5) and there was a tendency to higher scores in west Germany for the mean overall score, the intensity score and the extent. 'Erythema' (1.30 vs. 1.06; P = 0.006) and 'excoriation' (0.77 vs. 0.36; P = 0.002) were significantly more prominent in children with eczema from west Germany (adjusted for observer). Interobserver variabilities of the SCORAD parameters were calculated, adjusted for location and were in accordance with earlier findings. Principal component analysis identified three independent factors accounting for 54.1% of the total variance. A severity factor, characterized by 'extent', 'lichenification', 'excoriation' and 'pruritus', was separated from a factor with an acute eczema-type profile ('erythema', 'oedema', 'oozing') and a factor whose major characteristics were 'extent', 'dryness', and 'sleep loss'. We conclude that atopic eczema is frequent in pre-school children. The SCORAD proved to be readily applicable and useful in epidemiological studies, but further validation is needed.

Analysis of Variance↗

Study of sensory properties of emollients used in cosmetics and their correlation with physicochemical properties.

Eight liquid emollients (mineral oil, sunflower oil, squalane, decyl oleate, isopropyl myristate, octyldodecanol, dimethicone, and cyclomethicone) were characterized by instrumental and sensory methods and evaluated to determine the relationship between sensory and instrumental measures. Sensory analysis was carried out by a panel of 14 assessors, who evaluated the following attributes: difficulty of spreading, gloss, residue, stickiness, slipperiness, softness, and oiliness. The physicochemical properties measured were spreadability (at one-half minute and at one minute), viscosity, and superficial tension. Data collected were statistically analyzed by analysis of variance (ANOVA), principal component analysis (PCA), and linear partial least squares regression analysis (PLS). In consideration of their physicochemical characteristics, the studied emollients were sorted into three groups, in which the silicones distinctly separate from the rest. Sensory characteristics enabled the discrimination of four groups of emollients where, besides the two silicones, isopropyl myristate was also differentiated. PLS revealed that emollient sensory attributes could be well predicted by instrumental measurements.

Cosmetics↗

Behavior of monosaccharides, phenolic compounds, and color of red wines aged in used oak barrels and in the bottle.

A red wine with appropriate basic quality characteristics for aging was stored in oak barrels for 12 months and then bottled and aged for a further 6 months. The same ambient conditions of temperature and humidity were maintained throughout the entire aging process. The barrels used were made from three different species of oak by four different cooperages and had been used for at least two years. Analysis of variance and principal component analysis were run on the values for hexoses, pentoses, total anthocyanins, ortho-diphenols, low- and high-polymer polyphenols, and color parameters to study the behavior of the monosaccharides and polyphenols in response to the factors of aging time, the oak variety employed, and the source cooperage where the barrels had been made. Time trends for all the phenolic components were directly related to aging time, with low-polymeric polyphenols (LPPs) being the most affected by wood type and source cooperage. Wine color was defined by a basic red color which decreased with aging time in the barrel and was altered by yellowish pigment components differing for each of the barrels in which oxidative aging took place and by increased stability of the blue copigments. Principal component analysis showed that samples of the same source wine aged in different barrels tended to be grouped together according to each of the aging intervals considered.

Color↗

Measuring patients' attitudes to care across the primary/secondary interface: the development of the patient career diary.

BACKGROUND: A growing number of new ways of organising services across the primary/secondary interface are being introduced and evaluated. The principal motive for such reorganisation is to improve the efficiency of health care. However, unless the impact of the new services on patients is investigated and taken into account, it is possible that patients' reactions could be negative, a factor that could lead to unexpected consequences in the use and costs of services. OBJECTIVE: To develop a measure of patients' attitudes towards care across the interface between primary and secondary care. DESIGN: Generation of questions to be included in the measure from a qualitative study of patients' experiences of care across the interface; administration of pilot versions of the measure to samples of patients referred to secondary care; refinement of questions guided by analysis of response patterns, principal components analysis and internal consistency; administration of the final version of the patient career diary in complete form retrospectively to patients referred to secondary care, and one section alone to patients attending outpatient departments for follow up appointments. Face validity was assessed by analysis of open comments in a sample of 50 diaries, and review of the diary by 34 health professionals. Construct validity was assessed by investigation of levels of correlation between components of each section of the diary and the components of the healthcare section overall. SETTING: In the final field test, patients were attending various hospital services, including cardiology, dermatology, neurology, gynaecology, general surgery, general medicine, ophthalmology, trauma and orthopaedics, and gastroenterology. RESULTS: The final version of the diary included 109 questions in seven sections: general practitioner (GP) visits and referral, other GP visits, first outpatient visit, other outpatient visits, inpatient stay and discharge, care after discharge, and care overall. Response rates were poor for retrospective completion of the entire diary, but excellent when a section was given separately. Principal components analysis confirmed that components relating to issues identified as important to patients in the qualitative study had been included in the diary. Levels of internal consistency were good, and comments of patients and health professionals supported validity. CONCLUSION: The patient career diary is a valid and reliable measure of patients' attitudes to care across the interface. It should be given in sections to ensure adequate response rates, and is suitable for use in the evaluation or quality of patterns of care across the interface. In future, the impact on patients of new ways of organising services across the interface should be investigated by use of measures such as the patient career diary.

Attitude↗

Fractionation of metals in street sediment samples by using the BCR sequential extraction procedure and multivariate statistical elucidation of the data.

The concentrations of metals (Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb, and Zn) in street sediment samples were determined by flame atomic absorption spectrometry (FAAS) using the modified BCR (the European Community Bureau of Reference) sequential extraction procedure. According to the BCR protocol for extracting the metals from the relevant target phases, 1.0 g of specimen of the sample was treated with 0.11 M acetic acid (exchangeable and bound to carbonates), 0.5M hydroxylamine hydrochloride (bound to iron- and manganese-oxides), and 8.8M hydrogen peroxide plus 1M ammonium acetate (bound to sulphides and organics), sequentially. The residue was treated with aqua regia solution for recovery studies, although this step is not part of the BCR procedure. The mobility sequence based on the sum of the BCR sequential extraction stages was: Cd approximately Zn ( approximately 90%)>Pb ( approximately 84%)>Cu ( approximately 75%)>Mn ( approximately 70%)>Co ( approximately 57%)>Ni ( approximately 43%)>Cr ( approximately 40%)>Fe ( approximately 17%). Enrichment factors as the criteria for examining the impact of the anthropogenic emission sources of heavy metals were calculated, and it was observed that the highest enriched elements were Cd, Pb, and Zn in the dust samples, average 190, 111, and 20, respectively. Correlation analysis (CA) and principal component analysis (PCA) were applied to the data matrix to evaluate the analytical results and to identify the possible pollution sources of metals. PCA revealed that the sampling area was mainly influenced from three pollution sources, namely; traffic, industrial, and natural sources. The results show that chemical sequential extraction is a precious operational tool. Validation of the analytical results was checked by both recovery studies and analysis of the standard reference material (NIST SRM 2711 Montana Soil).

Automobiles↗

Characterization of natural organic matter (NOM) derived from sewage sludge compost. Part 2: multivariate techniques in the study of compost maturation.

This study presents the results of chemometric data analysis which describes the maturation of sewage sludge compost. The compost was characterized at different stages of maturation by various chemical and spectroscopic parameters including carbon and nitrogen content, humic substances content, UV-Vis and 13C NMR. The data set of compost characteristics was analyzed using multivariate methods: cluster analysis (CA) and principal component analysis (PCA). The results enabled the determination of three groups of compost samples at different stages of maturation that correspond to three stages of composting: (i) domination of rapid decomposition of non-humic, easily biodegradable organic matter, (ii) domination of organic matter humification and formation of polycondensed, humic-like substances (the next 2 weeks), (iii) stabilization of transformed organic material and weak microbial activity. The multivariate techniques also enabled the identification of main parameters that change during different stages of composting the most.

Algorithms↗

Gradients of HLA diversity in South American Indians.

Information concerning the HLA-A and -B loci was considered in relation to 3796 Amerindians living in 39 places in South America, data related to HLA-C being based on a smaller subset of 2989 persons distributed among 33 localities. Synthetic gene frequency maps were then constructed using principal-components analysis. Clearly significant longitudinal (principal component 1) and latitudinal (principal components 1, 2, and 3) clines were observed, most probably indicating ancient migration routes.

Alleles↗

Analysis and understanding of high-dimensionality data by means of multivariate data analysis.

Multivariate analysis such as principal-components analysis (PCA) and partial-least-squares-discriminant analysis (PLS-DA) have been applied to peptidomics data from clinical urine samples subjected to LC/MS analysis. We show that it is possible to use these methods to get information from a complex set of clinical data. The aim of the work is to use this information as a first step in the further search for clinical biomarker data. It is possible to identify peptide-biomarker fingerprints related to disease diagnosis and progression. Further, we review clinical proteomics and pharmacogenomics data analyzed with the same multivariate approach.

Data Interpretation, Statistical↗

QSAR of acridines. II. Features of nitracrine analogs for high anti-tumor activity and selectivity on mice, searched by PCA and MRA methods.

A study of quantitative structure-activity relationships (QSAR) of 32 nitro-9-aminoacridine derivatives has been carried out. The results of the four biological tests in vitro, anti-tumor activity against S-180 and toxicity on healthy as well as on tumor bearing mice were subjected to principal component analysis (PCA). Two significant principal components PC1 and PC2 (containing 81.4% and 8.1% of total data set information, respectively) were extracted. The biological meaning of PCs was identified: PC1 corresponds to a general biological activity, PC2 mainly to selectivity. To obtain predictability of biological activities multiple regression analysis (MRA) for PC1 and PC2 were used. The general biological activity (PC1) is parabolically dependent on the lipophilicity (log P*) of the substituent on 9-amino group (R = 0.97); selectivity (PC2), however, on the shape index 2K and the indicator variable IN2N (R = 0.76). For high antitumor activity and improved therapeutic effectivity (LD50/ED50) 1-nitro-9-amino-acridines should be characterized by: (i) lipophilicity, expressed as log P*, between -1 and -2; (ii) three or more methylene spacers between proximal and distal nitrogen atoms in the side chain, if the distal nitrogen is present; (iii) high 2K value for the side chain, as for a large and preferably unbranched substituent on C9.

Aminoacridines↗

A multivariate study of the relationship between the genetic code and the physical-chemical properties of amino acids.

The 20 naturally occurring amino acids are characterized by 20 variables: pKNH2, pKCOOH, pI, molecular weight, substituent van der Waals volume, seven 1H and 13C nuclear magnetic resonance shift variables, and eight hydrophobicity-hydrophilicity scales. The 20-dimensional data set is reduced to a few new dimensions by principal components analysis. The three first principal components reveal relationships between the properties of the amino acids and the genetic code. Thus the amino acids coded for by adenosine (A), uracil (U), or cytosine (C) in their second codon position (corresponding to U, A, or G in the second anticodon position) are grouped in these components. No grouping was detected for the amino acids coded for by guanine (G) in the second codon position (corresponding to C in the second anticodon position). The results show that a relationship exists between the physical-chemical properties of the amino acids and which of the A (U), U (A), or C (G) nucleotide is used in the second codon (anticodon) position. The amino acids coded for by G (C) in the second codon (anticodon) position do not participate in this relationship.

Amino Acids↗

Classification and ordination of DDT and HCH in soil samples from the Guanting Reservoir, China.

Organochlorine pesticides (OCPs) have been a major environmental issue, drawing much scientific and public attention due to their bioaccumulation potential, persistence and toxicity. Soil samples from three villages around the Guanting Reservoir, one of Beijing's five major water systems located to the northwest of the city, were collected in 2003 and analyzed to determine DDT and HCH-concentrations. The samples were also analyzed for soil texture, pH, and concentrations of total carbon, nitrogen and phosphorus to investigate their possible relationship to current OCP-concentrations. Hierarchical Cluster Analysis (HCA) and Principal Component Analysis (PCA) were used to study the distribution and contamination levels of OCPs within the study area. Classification splits were made to divide the 30 samples into three groups. The first group contained samples in soils from village C; the second group contained all of the samples in village B and most of the samples in village A; and the third group contained just three samples from village A, and the three samples had a relatively high concentration of OCPs. Ordination plots of the first two axes from PCA (cumulative percentage 80.91%) were constructed to explore the HCH and DDT-distribution patterns as well as the degradation ratios between the parent substances and their isomers.

China↗

Differences in in vitro pollen germination and pollen tube growth of cotton cultivars in response to high temperature.

UNLABELLED BACKGROUND AND AIMS: High-temperature environments with >30 degrees C during flowering reduce boll retention and yield in cotton. Therefore, identification of cotton cultivars with high-temperature tolerance would be beneficial in both current and future climates. * METHODS: Response to temperature (10-45 degrees C at 5 degrees C intervals) of pollen germination and pollen tube growth was quantified, and their relationship to cell membrane thermostability was studied in 12 cultivars. A principal component analysis was carried out to classify the genotypes for temperature tolerance. * KEY RESULTS: Pollen germination and pollen tube length of the cultivars ranged from 20 to 60 % and 411 to 903 microm, respectively. A modified bilinear model best described the response to temperature of pollen germination and pollen tube length. Cultivar variation existed for cardinal temperatures (T(min), T(opt) and T(max)) of pollen germination percentage and pollen tube growth. Mean cardinal temperatures calculated from the bilinear model for the 12 cultivars were 15.0, 31.8 and 43.3 degrees C for pollen germination and 11.9, 28.6 and 42.9 degrees C for pollen tube length. No significant correlations were found between pollen parameters and leaf membrane thermostability. Cultivars were classified into four groups based on principal component analysis. * CONCLUSIONS: Based on principal component analysis, it is concluded that higher pollen germination percentages and longer pollen tubes under optimum conditions and with optimum temperatures above 32 degrees C for pollen germination would indicate tolerance to high temperature.

Cell Membrane↗

Partial least squares regression calibration for determining wax content in processed flax fiber by near-infrared spectroscopy.

The quality of flax fiber in the textile industry is closely related to the wax content remaining on the fiber after the cleaning process. Extraction by organic solvents, which is currently used for determining wax content, is very time consuming and produces chemical waste. In this study, near-infrared (NIR) spectroscopy was used as a rapid analytical technique to develop models for wax content associated with flax fiber. Calibration samples (n=11) were prepared by manually mixing dewaxed fiber and isolated wax to provide a range of wax content from 0 to 5%. A total of fourteen flax fiber samples obtained after a cleaning process were used for prediction. Principal component analysis demonstrated that one principal component is enough to separate the flax fibers by their wax content. The most highly correlated wavelengths were 2312, 2352, 1732, and 1766 nm, in order of significance. Partial least squares models were developed with various chemometric preprocessing approaches to obtain the best model performance. Two models, one using the entire region (1100-2498 nm) and the other using the selected wavelengths, were developed and the accuracies compared. For the model using the entire region, the correlation coefficient (R2) between actual and predicted values was 0.996 and the standard error of prediction (RMSEP) was 0.289%. For the selected-wavelengths model, the R2 was 0.997 and RMSEP was 0.272%. The results suggested that NIR spectroscopy can be used to determine wax content in very clean flax fiber and that development of a low-cost device, using few wavelengths, should be possible.

Calibration↗