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QSAR studies of the pyrethroid insecticides. Part 3. A putative pharmacophore derived using methodology based on molecular dynamics and hierarchical cluster analysis.

Previous studies of the conformational behaviour of a group of synthetic pyrethroid insecticides have been extended to a more structurally diverse set. This includes compounds with different backbones and differing stereochemistry, with both Types I and II biological activity. These compounds also encompass a large range of biological activities. A parameterisation of the CHARMM force field for these compounds has been performed and the extra parameters are reported. Conformational sampling, using molecular dynamics (MD), has been performed for each of the 41 active structures. The accessible conformations of each have been characterised by the values of the common torsion angles using hierarchichal cluster analysis (HCA). A further CA, based on the centroids derived from the conformational sampling, identified a conformation common to at least 39 of the 41 structures. The critical torsion angles of this conformation lie at the centre of the molecule about the ester linkage and are defining an extended conformation, which differs from the minimum energy conformation of deltamethrin used previously. This may represent a putative pharmacophore for kill. The methods used here improve significantly on those used previously. The CHARMM force field was parameterised for the compounds and an improved method of conformational sampling, based on centroid clustering, has also been used.

Allethrins↗

Active-site motifs of lysosomal acid hydrolases: invariant features of clan GH-A glycosyl hydrolases deduced from hydrophobic cluster analysis.

The clan GH-A is a group of more than 200 proteins representing nine established families of glycosyl hydrolases that act on a large variety of substrates. This clan includes five enzymes implicated in lysosomal storage diseases: beta-glucuronidase (Sly disease), beta-glucocerebrosidase (Gaucher disease), beta-galactosidase (Landing disease and Morquito type B disease), beta-mannosidase (mannosidosis) and alpha-L-iduronidase (Hurler-Scheie disease). Examination of known 3D structures from some families of the clan allowed us to deduce structural and functional features shared by these proteins. We then used the hydrophobic cluster analysis method to study the protein sequences of the entire clan. Our results reveal that, despite low levels of sequence identity, all the proteins of the clan (including the aforementioned lysosomal enzymes) likely share a similar catalytic domain consisting of an (alpha/beta)8 barrel with conserved functional amino acids located at the C-terminal ends of six of the eight strands constituting the beta-barrel. Interestingly, several mutations reported to be responsible for lysosomal storage diseases are located within these conserved regions of the lysosomal enzyme catalytic domains.

Amino Acid Sequence↗

Study-level wavelet cluster analysis and data-driven signal models in pharmacological MRI.

In pharmacological MRI (phMRI) studies tracking signal changes following the acute administration of a compound, the spatiotemporal pattern of response is often unknown a priori. Moreover, when analysed within a general linear model (GLM) framework, the experimental paradigm of a single injection point under-informs the construction of an appropriate signal model, and information from pharmacokinetics or ancillary in vivo studies may be unavailable or insufficient to accurately describe the dynamic signal changes observed following injection of the drug. Here, we extend the application of a data-driven clustering algorithm, wavelet cluster analysis (WCA), to phMRI data from one or more groups of subjects in a study. A WCA decomposition of spatially concatenated time series' provides a compact overview of spatiotemporal response patterns across cohorts, highlighting typical temporal signatures, brain regions implicated in the response and inter-subject variability. Further, we demonstrate the use of regressors based on selected temporal components as suitable signal models in GLM-based analyses, resulting in a close fit to dynamic phMRI signal changes. This approach is illustrated with simulated data and two representative in vivo phMRI studies in the rat (nicotine and apomorphine challenges).

Animals↗

Wavelet-based cluster analysis: data-driven grouping of voxel time courses with application to perfusion-weighted and pharmacological MRI of the rat brain.

MRI time series experiments produce a wealth of information contained in two or three spatial dimensions that evolve over time. Such experiments can, for example, localize brain response to pharmacological stimuli, but frequently the spatiotemporal characteristics of the cerebral response are unknown a priori and variable, and thus difficult to evaluate using hypothesis-based methods alone. Here we used features in the temporal dimension to group voxels with similar time courses based on a nonparametric discrete wavelet transform (DWT) representation of each time course. Applying the DWT to each voxel decomposes its temporal information into coefficients associated with both time and scale. Discarding scales in the DWT that are associated with high-frequency oscillations (noise) provided a straight-forward data reduction step and decreased the computational burden. Optimization-based clustering was then applied to the remaining wavelet coefficients in order to produce a finite number of voxel clusters. This wavelet-based cluster analysis (WCA) was evaluated using two representative classes of MRI neuroimaging experiments. In perfusion-weighted MRI, following occlusion of the middle cerebral artery (MCAO), WCA differentiated healthy tissue and different regions within the ischemic hemisphere. Following an acute cocaine challenge, WCA localized subtle differences in the pharmacokinetic profile of the cerebral response. We conclude that WCA provides a robust method for blind analysis of time series image data.

Animals↗

Temporal clustering analysis of cerebral blood flow activation maps measured by laser speckle contrast imaging.

Temporal and spatial orchestration of neurovascular coupling in brain neuronal activity is crucial for comprehending the mechanism of functional cerebral metabolism and pathophysiology. Laser speckle contrast imaging (LSCI) through a thinned skull over the somatosensory cortex is utilized to map the spatiotemporal characteristics of local cerebral blood flow (CBF) in anesthetized rats during sciatic nerve stimulation. The time course of signals from all spatial loci among the massive dataset is hard to analyze, especially for the thousands of images, each of which composes millions of pixels. We introduce a temporal clustering analysis (TCA) method, which is proven as an efficient method to analyze functional magnetic resonance imaging (fMRI) data in the temporal domain. The timing and location of CBF activation shows that contralateral hindlimb sensory cortical microflow is activated to increase promptly in less than 1 s after the onset of 2-s electrical stimulation and is evolved in different discrete regions. This pattern is similar but slightly elaborated from the results obtained from laser Doppler flowmetry (LDF) and fMRI. We present this combination to investigate interacting brain regions, which might lead to a better understanding of the nature of brain parcellation and effective connectivity.

Animals↗

Hepatitis B virus genotyping based on cluster analysis of the region involved in lamivudine resistance.

Hepatitis B virus (HBV) genotyping and treatment resistances analysis provide key information for the study of infected patients. Among the existing HBV genotyping methods, restriction fragment length polymorphism (RFLP) based methods are used widely, but HBV genetic variability may lead to wrong results. A simple method for HBV genotyping is described. This single assay provides information related to both genotyping and lamivudine resistance. measuring genotyping reliability. A short region including the YMDD motif of the polymerase gene was analyzed using cluster analysis of 55 isolates. To discriminate the seven HBV genotypes, a selected fragment was used as representative of each genotype (consensus sequences). Comparison between complete genomes from GenBank and from the YMDD analysis using PHILIP package was used for method testing. Sequencing of 102 different serum samples was carried out, and the results were compared with representative sequences. Consensus sequences were chosen corresponding to the different HBV genotypes. Statistical comparison between our method and others gives more than 90% of coincidences with a critical level of 0.056. Comparison between RFLP and the method described gives 3% of discordance results and 3% of untypables samples by RFLP. All the discordant results observed had a change in the pre-S sequence which introduced a new restriction site.

Amino Acid Motifs↗

A cluster analysis of insomnia.

Data from three consecutive nights in the sleep laboratory and data from psychological questionnaires and interviews were cluster-analyzed. A total of 89 physician-referred insomniacs were included, together with 10 good sleepers. The goal was to develop a purely empirical classification scheme of insomnia and to compare it with the Association of Sleep Disorders Centers' current nosology, which is based on clinical experience. The categories of chronic psychophysiologic insomnia and of childhood-onset insomnia were clearly identified in the cluster analysis. The insomnias associated with psychiatric disorders were split into five subgroups that made some intuitive sense, but did not mesh exactly with DSM III (Diagnostic and Statistical Manual, 3rd edition, American Psychiatric Association) categories.

Adult↗

Cluster analysis of the medical coping modes questionnaire: evidence for coping with cancer styles?

A number of researchers have attempted to understand how individuals cope with having cancer. Unfortunately, this voluminous literature has suffered from a number of problems common to other pre-paridigmic disciples. Studies are generally isolated and fail to build upon other research in the literature. In addition, no guiding theory or conceptualization exists that helps to explain and describe the richness and complexity of observed clinical phenomena. With the understanding that coping with cancer is multidimensional, some researchers have attempted to group coping responses into dominant styles. In an effort to better understand the results of this approach, we performed a cluster analysis on 117 responses to a three scale questionnaire, the Medical Coping Modes Questionnaire. Results indicated that subjects can be grouped into one of four coping categories: confrontive, avoidant, resigned, or with a nondominant style. Future research is needed to explore how these styles influence quality of life during and following treatment.

Adaptation, Psychological↗

[The psychosocial status of patients with endogenous eczema. A study using cluster analysis for the correlation of psychological factors with somatic findings].

The present study was performed to investigate whether patients with atopic dermatitis differ as a group from controls on psychological measures of mood and personality or whether psychologically deviant and normal patient subgroups can be distinguished. Furthermore, we were interested in what clinical characteristics might co-vary with psychological disability in patients with atopic dermatitis. In all, 93 patients filled in a standardized mood scale (Hamburg-Erlanger-Stimmungsbarometer) and a personality scale (Kurztest zur Erfassung der Persönlichkeitsstruktur). Compared with matched controls, patients described themselves as being more anxious, more aroused, more depressed and less energetic, and they reached higher neuroticism scores. A cluster analysis identified four patient subgroups. Only one of the subgroups (n = 17) was psychologically disabled according to the questionnaire scores. In contrast to a psychologically stabile patient group, the psychologically disabled patients showed an earlier age of onset of dermatitis, but less intense itching and scratching. They reported more somatic complaints and a higher level of familial stress, were more dissatisfied with their life situation and work, had fewer friends and experienced more losses of significant others. Furthermore, they more frequently rated their disorder as being determined by psychological factors and were more intelligent. Thus, the questionnaires identified a subgroup of patients who may need psychotherapeutic interventions.

Adolescent↗

Identification of isomeric 4-nonylphenol structures by gas chromatography-tandem mass spectrometry combined with cluster analysis.

The endocrine-disrupting effect of 4-nonylphenols (NP) formed from industrial detergents such as nonylphenol polyethoxylates is well known today. The technical mixture contains a great variety of 4-iso-nonylphenol isomers having different endocrine-disrupting activities. Currently used gas chromatography-mass spectrometry (GC-MS) protocols allow the detection of about 20 peaks, mostly co-eluting isomers. In the present study, Product Ion mass spectrometry obtained by ion trap technology enhanced the selectivity in NP detection resulting in improved gas chromatographic resolution as well as structure assignment of the isomers. The structure proposals of 4-nonylphenol isomers given were derived from GC-MS-MS data processed by multivariate statistics. The cluster analysis allowed the classification of NP due to common structural features that were reflected in the mass spectra. The fragmentation pathways of three reference NP isomers, 4-(1-ethyl-1,4-dimethylpentyl)phenol (NP1), 4-(1,1,5-trimethylhexyl)phenol (NP2) and 4-(1-ethyl-1,3-dimethylpentyl)phenol (NP3), were investigated in more detail. They served as model compounds to aid the interpretation of spectra from unknown NP isomers. Structures of two groups of isomers, characterized by alpha-ethyl as well as alpha-propyl substituents, could be proposed.

Cluster Analysis↗

13C-urea breath test for Helicobacter pylori: cut-off point determination by cluster analysis.

1. This study was performed on a large set of 13C-urea breath test results to determine the optimal cut-off point of the test for the diagnosis of Helicobacter pylori (Hp) infection. 2. The following steps were applied to three sets of urea breath test results obtained in three groups of subjects (696 adults before anti-Hp treatment, 1056 adults after anti-Hp treatment and 173 children under 17 years of age): (1) demonstrate the distribution of urea breath test results as a mix of two normal populations (Hp negative and Hp positive) by logarithmic transformation of the results in each group of subjects; (2) apply statistical cluster analysis to determine the separation point between Hp-negative and -positive populations; (3) calculate the mean and SD of each population, and use these parameters in the equation of the normal distribution to establish the frequency curves of Hp-negative and -positive populations; and (4) determine the cut-off point of the urea breath test as the intersection of the two curves, and the risks of error related to it. 3. The optimal cut-off point was found at +3.00 delta/1000, with a risk of false-negative or -positive response of the urea breath test of less than 3%. From this, a cut-off point of +3.00 delta/1000 for the 13C-urea breath test is recommended, with an indetermined zone between +2.5 and +3.5 delta/1000 to account for the spontaneous variation of 13CO2 in breath and the limits of GC-isotope ratio-MS analytical precision.

Adolescent↗

The evaluation and cluster analysis of parapneumonic effusion in childhood.

We studied 80 children with parapneumonic effusion (PPE) with respect to the clinical manifestations and treatment alternatives as well as prospective follow-up for 1 year. Out of the 80 patients, 59 per cent were male. The mean age of the patients was 4.0 +/- 3.1 years. Mild effusion was successfully treated by antibiotic alone in 33 per cent of the patients. Tube thoracostomy (TT) was utilized in 63 per cent of the patients. In this group, 11 healed completely, 13 patients required surgical treatment, and 25 required fibrinolytic therapy (FT). FT was successful in 18, and no complication due to FT was observed. Six patients who received FT required surgical therapy later in the course of treatment. Cluster analysis revealed a group of patients with rapid progression and a short history of symptoms (4-6 days) that showed significantly higher rate of complicated prognosis (p<0.05). Successful FT prevented surgical operation in 22 per cent of the patients who were candidates for surgical treatment. The follow-up for one year revealed sequelae on chest X-ray in 28 per cent of the patients most of whom had an operation for necrotizing pneumonia. Pulmonary function tests performed over seven years of age were abnormal in 57 per cent of the patients.

Abstracting and Indexing↗

Subgroups of patients with cancer with different symptom experiences and quality-of-life outcomes: a cluster analysis.

PURPOSE/OBJECTIVES: To identify subgroups of outpatients with cancer based on their experiences with the symptoms of fatigue, sleep disturbance, depression, and pain; to explore whether patients in the subgroups differed on selected demographic, disease, and treatment characteristics; and to determine whether patients in the subgroups differed on two important patient outcomes: functional status and quality of life (QOL). DESIGN: Descriptive, correlational study. SETTING: Four outpatient oncology practices in northern California. SAMPLE: 191 outpatients with cancer receiving active treatment. METHODS: Patients completed a demographic questionnaire, Karnofsky Performance Status scale, Lee Fatigue Scale, General Sleep Disturbance Scale, Center for Epidemiological Studies Depression Scale, Multidimensional Quality-of-Life Scale Cancer, and a numeric rating scale of worst pain intensity. Medical records were reviewed for disease and treatment information. Cluster analysis was used to identify patient subgroups based on patients symptom experiences. Differences in demographic, disease, and treatment characteristics as well as in outcomes were evaluated using analysis of variance and chi square analysis. MAIN RESEARCH VARIABLES: Subgroup membership, fatigue, sleep disturbance, depression, pain, functional status, and QOL. FINDINGS: Four relatively distinct patient subgroups were identified based on patients experiences with four highly prevalent and related symptoms. CONCLUSIONS: The subgroup of patients who reported low levels of all four symptoms reported the best functional status and QOL. IMPLICATIONS FOR NURSING: The findings from this study need to be replicated before definitive clinical practice recommendations can be made. Until that time, clinicians need to assess patients for the occurrence of multiple symptoms that may place them at increased risk for poorer outcomes.

Aged↗

Cluster analysis of diffusion tensor magnetic resonance images in human head injury.

OBJECTIVE: Issues surrounding the nature of the edema associated with traumatic brain injury in humans, and its evolution in the acute phase, remain unresolved. This study aimed to characterize the topographical nature of the pathophysiological changes in human traumatic brain injury with diffusion tensor magnetic resonance imaging. METHODS: Multislice diffusion-weighted magnetic resonance imaging data were acquired from five patients undergoing elective ventilation for management of traumatic focal contusion or hematomas. The diffusion tensor and the T2-weighted intensity were then computed for every voxel in the image data set for each patient. The topographical distribution of abnormalities in the trace of the diffusion tensor and T2-weighted images were characterized by cluster analysis. RESULTS: In four patients with technically satisfactory data, a narrow band of tissue was observed in the periphery of focal lesions, which was characterized by selective reduction in the trace of the diffusion tensor, without any associated increase in the T2-weighted signal intensity. CONCLUSION: This change is interpreted as indicating either a partial redistribution of water from the extra- to intracellular compartment, or a reduction in the diffusivity of water in the intracellular or cytosolic environment. These diffusion and T2-weighted characteristics are also found in early ischemic change, hence, such regions may represent potentially salvageable tissue at risk of permanent damage. The study illustrates the advantage of using information contained within the diffusion tensor in addition to more conventional imaging sequences.

Adolescent↗

[Cluster analysis applied in the epidemiological stratification analysis].

OBJECTIVE: To establish a new method on stratification analysis when the stratification limits of confounding factors was not clear or contradictory. METHOD: Data on a study of diabetes mellitus in Guangdong province collected in the year of 1997 and 1998 was analyzed using cluster-stratification analysis. RESULTS: The efficiency of stratification analysis was improved and the confounding bias was effectively controlled with information bias avoided when the clusters-stratification analysis was applied. CONCLUSION: The problem was logically solved using cluster analysis as an assistant stratification means.

Adult↗

A cluster analysis to define human aging phenotypes.

The definition of a precise and consistent aging phenotype that allows to measure the physical and cognitive decline, as well as the increase of mortality hazard late in life, is a major problem for studies aimed at finding the genetic factors modulating rate and quality of human aging. In this frame, it seems promising the concept of frailty which tends to figure out the subjects who are more vulnerable and more prone to negative outcomes, such as death or hospitalization. Cognitive, functional and psychological measures turned out to be the most effective measures to define frailty, as they condense most of the frailty cycle that occurs in the elderly and is probably responsible of the aging related physical decline. We used MMSE, Hand Grip strength, and GDS as variable parameters in a hierarchical Cluster Analysis (CA) in order to recognise aging phenotypes. By using a sample of 65-85 years old subjects we identified three frailty phenotypes that were consistent from both geriatric and genetic perspectives. Therefore, the method we propose may provide unbiased phenotypes suitable for the identification of genetic variants affecting the quality of aging in this age range. The CA method was less effective in ultranonagenarians, probably due to the high prevalence of frail subjects in this age group that makes difficult to distinguish discrete phenotypes.

Aged↗

Cluster analysis of the metastatic patterns of human immunodeficiency virus-associated Kaposi's sarcoma.

Kaposi's sarcoma (KS) is a pleomorphic spindle cell lesion whose incidence has markedly increased among patients infected with the human immunodeficiency virus (HIV), especially among those whose primary risk factor is homo/bisexual transmission. The question as to whether KS is even a true neoplasm still remains largely unsettled due to the body of epidemiologic and histologic evidence suggesting an infectious etiology of the lesion. Accordingly, very few studies have been published regarding systemic distribution or patterns of metastatic progression of the lesion. In the past, such studies have been primarily hampered by inadequate sampling of different tissue specimens and by the lack of a method whereby the data could be rationally interpreted. In the present study we have reviewed the clinical and pathologic features of 169 autopsied patients with either documented HIV infection or the acquired immunodeficiency syndrome, among whom 28 patients were found to have KS. Using cluster analysis, we constructed a novel data structure, called a "dendrogram," whereby patterns of metastasis could be examined. Our results show at least three patterns of metastasis of the lesions, predominantly involving the skin, upper gastrointestinal tract, or midgastrointestinal tract, within this cohort of autopsied patients. These three patterns suggest that there is no single pathogenetic mechanism in the acquisition and dissemination of HIV-associated KS.

Adolescent↗

Fuzzy cluster analysis of positive stress tests, a new method of combining exercise test variables to predict extent of coronary artery disease.

Fuzzy set theory is useful in the analysis of data having a graded degree of abnormality. Previous studies using sharp cutoff points between normality and abnormality have resulted in general guidelines for the interpretation of positive stress tests, but do not enable the clinician to simultaneously combine several stress test variables, each having a range of abnormality. In this study, positive stress test results from 109 patients were reviewed. An angiogram recorded within 1 month of the stress tests showed that 100 patients had coronary artery disease (CAD) (15 had left main CAD, and 27 had 3-vessel, 30 had 2-vessel, and 28 had 1-vessel disease) and 9 were normal. Six variables were selected for fuzzy cluster analysis: ST-segment change, difference between resting systolic and peak exercise systolic blood pressure, total treadmill time, peak exercise heart rate as a percentage of 100% predicted maximum for age, time to onset of angina, and duration of repolarization abnormalities. The analysis used a similarity measure to compute how closely each stress test resembled a prototypical mildly, moderately, or severely abnormal stress test. Stress tests classified by this method showed better correlation with the extent of CAD than the degree of ST-segment depression alone. Unlike tests with mild degrees of ST depression (0.5 to 1.5 mm), tests classified as mild by the method virtually excluded high-grade CAD.(ABSTRACT TRUNCATED AT 250 WORDS)

Adult↗