The histology of the postcruciate gyrus in the cat. II. A statistical analysis of the dendritic distribution.
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Plasma clearance, volumes of distribution, and renal and extrarenal clearances of digoxin were calculated from plasma digoxin concentrations and urinary excretion of digoxin after intravenous injection of digoxin in 8 subjects. The investigation was repeated in the same subjects during long-term treatment with spironolactone. Increased plasma concentration of digoxin was detected during spironolactone treatment. Calculated plasma and renal clearances of digoxin and the volumes of distribution decreased statistically significant. Near maximal capacity for the tubular secretion of digoxin was found when normal digoxin dosage was used. It is suggested that unless spironolactone decreases the myocardial sensitivity for digoxin, the loading dose as well as the maintenance dose of digoxin should be reduced during treatment with spironolactone.
Derivative domain least squares analysis is a new method for resolving multiple peaks superimposed on a slowly varying continuum into separate normal (Gaussian) distributions without developing a functional approximation for the continuum. The method is based on fitting the first derivative of the data with the first derivative of the sum of a series of normal distributions. A functional approximation for the continuum is not necessary as long as the first derivative of the continuum is approximately zero (i.e., the continuum varies slowly compared to the normal distributions).
BACKGROUND: Method comparison typically determines how well two methods agree. This is usually performed using the difference plot model, which measures absolute differences between two methods. This is often not applicable to data with wide ranges of absolute values. An alternative model is introduced that simplifies comparisons specifically for multiple methods compared to a gold standard. METHODS: The average between a new method and the gold standard is represented as a percentage of the gold standard. This is interpreted as a percentage similarity value and accommodates wide ranges of data. The representation of the percentage similarity values in a histogram format highlights the accuracy and precision of several compared methods to a gold standard. The calculation of a coefficient of variation further defines agreement between methods. RESULTS: Percentage similarity histograms of several new methods can be compared to a gold standard simultaneously, and the comparison easily visualized through use of a single 100% similarity reference line drawn common to all plots. CONCLUSION: This simple method of comparison would be particularly useful for multiple method comparison and is especially applicable for centers collating for external quality assessment or assurance programs to demonstrate differences in results between laboratories.
BACKGROUND: Females have an increased incidence of autoimmune diseases. However, no gender difference in the incidence of type 1 diabetes is found. The frequency of antibodies against glutamic acid decarboxylase (GADA) in diabetes mellitus depends on age at diagnosis and also gender. Several studies have shown that high GADA levels can predict future beta-cell failure and need for insulin treatment. The aim of this study was to investigate possible gender differences in relation to GADA levels, fasting plasma C-peptide levels and frequency of other autoimmune endocrine diseases in GADA-positive patients with different age at diabetes diagnosis. METHODS: GADA were screened in 4974 patients from a local diabetes registry, and plasma C-peptide was measured and a history of other autoimmune endocrine diseases was recorded. Of these patients, 822 were GADA positive and were further divided into four groups depending on the age at diagnosis of diabetes; Group 1: <20 years, Group 2: 20-39 years, Group 3: 40-59 years and Group 4: > or =60 years. RESULTS: Female patients in Group 3 had lower fasting plasma C-peptide levels (median 0.21[0.00-0-56] vs. 0.41[0.00-0.73] nmol/L, p=0.02), higher GADA levels (median 7 [4-9] vs. 5 [2-7] Arbitrary Unit (AU), p=0.0003) and higher frequency of other autoimmune endocrine diseases (22.4 vs. 5.3%, p=0.0001) than male patients. In a stepwise logistic regression analysis, diabetes duration (p<0.000001), high GADA levels (Exp (B) 3.68 CI 1.69-7.98, p=0.001) and low BMI (p=0.00002) were associated with total beta-cell failure in Group 3. CONCLUSIONS: GADA-positive female diabetic patients with an age at diagnosis between 40 and 59 years have higher GADA levels and a more severe loss of beta-cell function than male patients with the same age at diagnosis. This could be due to the effect of sex steroids and/or GnRH on the regulation of the immune system. Female patients with high GADA levels also had a high prevalence of other autoimmune endocrine diseases, especially autoimmune thyroid disease, which further emphasises the need for screening of thyroid function in female patients with high GADA levels.
Past strategies for the analysis of ATP-fueled motors include single-motor analysis. Single-motor analysis bypasses limitations caused by motor asynchrony during the traditional ensemble averaging analysis. The present communication describes revised ensemble averaging analysis that also can bypass asynchrony-derived limitations. This revised analysis makes measurements of one motor variable dependent on the others. One example is nondenaturing gel electrophoresis with more than one dimension. Each dimension measures one of the motor variables. This multidimensional procedure is used to obtain the values of "conformational" motor variables as a function of a "clock" motor variable. In theory, the cycle of the motor can be analyzed from a single multidimensional analysis of a collection of asynchronous motors sampled at only one time. That is to say, motor asynchrony becomes an asset, rather than a liability.
A new model is proposed for characterizing skewed electrophoretic peaks, which is a combination of leading and trailing edge functions, empirically modified to get a rapid recovery of the baseline. The peak model is a sum of square roots and is called thereby "combined square roots (CSR) model". The flexibility of the model was checked on theoretical and experimental peaks with asymmetries in the range of 0-10 (expressed as the ratio of the distance between the center and the trailing edge, and the center and the leading edge of the chromatographic peak, measured at 10% of peak height). Excellent fits were found in all cases. The new model was compared with other three models that have shown good performance in modelling chromatographic peaks: the empirically transformed Gaussian, the parabolic Lorentzian-modified Gaussian, and the Haarhoff-van der Linde function. The latter model was proposed recently to describe electrophoretic peaks. The CSR model offered the highest flexibility to describe electrophoretic peak profiles, even those extremely asymmetrical with long tails. The new function has the advantage of using measurable parameters that allow the direct estimation of peak areas, which is useful for quantitative purposes.
Variance-component (VC) models are widely used for linkage and association mapping of quantitative trait loci in general human pedigrees. Traditional VC methods assume that the trait values within a family follow a multivariate normal distribution and are fully observed. These assumptions are violated if the trait data contain censored observations. When the trait pertains to age at onset of disease, censoring is inevitable because of loss to follow-up and limited study duration. Censoring also arises when the trait assay cannot detect values below (or above) certain thresholds. The latent trait values tend to have a complex distribution. Applying traditional VC methods to censored trait data would inflate type I error and reduce power. We present valid and powerful methods for the linkage and association analyses of censored trait data. Our methods are based on a novel class of semiparametric VC models, which allows an arbitrary distribution for the latent trait values. We construct appropriate likelihood for the observed data, which may contain left or right censored observations. The maximum likelihood estimators are approximately unbiased, normally distributed, and statistically efficient. We develop stable and efficient numerical algorithms to implement the corresponding inference procedures. Extensive simulation studies demonstrate that the proposed methods outperform the existing ones in practical situations. We provide an application to the age at onset of alcohol dependence data from the Collaborative Study on the Genetics of Alcoholism. A computer program is freely available.
Linkage and association analyses have played important roles in identifying susceptibility genes for complex diseases. Linkage tests and family-based tests of association are often applied in the same data to help fine-map disease loci or validate results. This paradigm increases efficiency by making maximal use of family data sets. However, it is not intuitively clear under what conditions association and linkage tests performed in the same data set may be correlated. Understanding this relationship is important for interpreting the combined results of both tests. We used computer simulations and theoretical statements to estimate the correlation between linkage statistics (affected sib pair maximum LOD scores) and family-based association statistics (pedigree disequilibrium test (PDT) and association in the pressure of linkage (APL)) under various hypotheses. Different types of pedigrees were studied: nuclear families with affected sib pairs, extended pedigrees and incomplete pedigrees. Both simulation and theoretical results showed that when there is no linkage or no association, the linkage and association tests are not correlated. When there is linkage and association in the data, the two tests have a positive correlation. We concluded that when linkage and association tests are applied in the same data, the type I error rate of neither test will be affected and that power can be increased by applying tests conditionally.
Patients with Crohn's disease (CD) often have low bone mineral density (BMD) for their chronological age (CA). However, pediatric cases frequently have growth failure and delayed bone age (BA) and height age (HA). Do they really have the amount of osteoporosis as measured by BMD and calculated for their CA? The aim was to compare z-scores for BMD in relation to CA and z-scores corrected for BA or height age in pediatric patients. A group of 43 pediatric patients (mean age, 12 years; 14 girls, 29 boys) with CD in remission, prospectively had BMD (measured by dual energy x-ray absorptiometry) and BA. Abnormally low z-score for BMD (below 2 standard deviation [SD] for CA was found in 19 patients (44%). Among these, 9 patients (21% overall) had a BA of more than 2 SD lower than their CA and 12 had height age at least 2 years below CA. When the BMD z-score in these patients was corrected for their BA and height age, 6 of 9 and 8 of 12 patients had a normal BMD. In conclusion, when corrected for BA or CA delay, BMD was abnormal in 26 to 30% rather than 44% of cases. Correct assessment of BMD in Crohn's disease patients with bone age delay requires interpretation in terms of BA or HA, rather than CA.
Patients submitted to orthotopic liver transplantation (OLT) show an increased rate of cardiovascular events. OLT subjects have high homocysteine (Hcy) levels, but no data are available on the association of Hcy with cardiovascular events. In a cross-sectional analysis, 230 subjects were studied at least 6 months after OLT (159 on cyclosporine, 71 on tacrolimus). Routine laboratory data and total Hcy were recorded, as well as the history of diabetes, hypertension, dyslipidemia, and overweight. Cardiovascular events occurring in a follow-up of 2-36 months were registered. OLT subjects had higher-than-normal Hcy (median 16.7 micromol/L, range 6.1-171.8) without difference between the 2 immunosuppressive agents. The prevalence of Hcy >15 micromol/L was also similar, and significantly correlated with creatinine levels. A total of 28 arterial events occurred in 25 patients during follow-up (11 in coronary arteries, 10 in peripheral arteries, and 7 in splanchnic arteries). Deep vein thromboses occurred in 2 patients, and splanchnic vein thromboses in 4 patients. Cardiovascular events were frequently associated to high Hcy and hypertension. Cox regression analysis showed that high Hcy was significantly associated with arterial events. The risk of any arterial event, coronary artery or peripheral artery event increased by nearly 10% for any increase in Hcy of 5 micromol/L. In conclusion, high Hcy may be involved in the pathogenesis of cardiovascular events in OLT patients. The usefulness of Hcy-lowering therapy remains to be verified.
Caroli's disease is a rare congenital hepatic disease, characterized by segmental dilatation of the biliary tree. Patients who have recurrent bouts of biliary infection, particularly those with complications related to portal hypertension, may require orthotopic liver transplantation (OLT). Few case reports have described the outcome of OLT in patients with Caroli's disease and to date there is no large series reported in the literature. We retrospectively analyzed the outcome of OLT in patients with Caroli's disease who underwent OLT between 1982 and 2002 at Starzl Transplantation Institute, University of Pittsburgh. Patients were identified and data was collected by computerized search of the electronic database system. All patients had confirmation of diagnosis by histopathology of explanted liver. A total of 33 patients with Caroli's disease were listed for liver transplantation, 3 of whom were excluded, as they were not transplanted. A total of 90% had signs of hepatic decompensation at the time of OLT. Median posttransplantation follow-up was 7.7 yr. Short-term graft and patient survival at 1 month was 83% and 86%, whereas overall long-term graft survival rates at 1, 5, and 10 yr were 73%, 62%, and 53%, respectively, and patient survival rates were 76%, 65%, and 56%, respectively. Long-term outcome in patients who survived the first year after transplantation was significantly better. Their survival rate at 5 and 10 yr was 90% and 78%. On univariable analysis, recipient age, donor male gender, coexistent congenital hepatic fibrosis, and re-OLT were associated with poor patient survival. Eight patients were retransplanted, 3 of whom had primary nonfunction. A total of 13 patients died; the most common cause of death being sepsis and cardiovascular complications. Patients who died of sepsis had cholangitis pre-OLT. In conclusion, OLT is a form of curative and life-saving therapy in patients with Caroli's disease, especially in those with decompensated liver disease. Overall survival is better with liver transplantation and is comparable with the survival of recipients who undergo OLT for other etiologies of chronic liver disease. Survival was poor in patients with congenital hepatic fibrosis (Caroli's syndrome) and in those who had cholangitis at the time OLT.
Increased prevalence of cardiovascular risk factors has been acknowledged in liver transplant recipients, and an increased incidence of cardiovascular events has been suspected. Individual risk determination, however, has not yet been established. Outpatient charts of 438 primary liver transplants have been reviewed, and suspected cardiovascular risk factors were correlated with cardiovascular events observed during a follow-up period of 10 yr. Receiver operation characteristics curve (ROC) analysis was performed to validate established cardiovascular risk scores. For calibration, the Hosmer-Lemeshow test was performed. A total of 303 of 438 patients were available for risk factor analysis at 6 months and demonstrated complete follow-up data (175 male, 128 female). A total of 40 of those 303 patients experienced fatal or nonfatal cardiovascular events (13.2%). In univariate analysis, age (P < 0.001), gender (P = 0.002), body mass index (P = 0.018), cholesterol (P = 0.044), creatinine (P = 0.006), diabetes mellitus (P = 0.017), glucose (0.006), and systolic blood pressure (P = 0.043), but not cyclosporine A (P = 0.743), tacrolimus (P = 0.870), or steroid medication (P = 0.991), were significantly associated with cardiovascular events. Multivariate analysis, however, identified only age, gender, and cholesterol as independent predictors. In ROC analysis, corresponding areas under the curve for Systematic Coronary Risk Evaluation Project (SCORE), Prospective Cardiovascular Münster Study (PROCAM), and Framingham risk scores (FRSs) were calculated with 0.800, 0.778, and 0.707, respectively. Calibration demonstrated an improved goodness of fit for PROCAM compared to SCORE risk calculations. In conclusion, SCORE and PROCAM proved to be valuable in discriminating our liver transplant recipients for their individual risk of cardiovascular events. Furthermore, calibrated PROCAM risk estimates are required to calculate the number of patients needed to treat in the setup of prospective intervention trials.
Fifty-one normal sural nerve biopsies were obtained from 800 diagnostic biopsies. The external diameter distribution of myelinated fibers was described using the sum of two beta probability density functions, describing the thin as well as the thick fiber group. A cross-sectional study using these distribution functions showed increasing values of the peak of the larger fiber group, the diameter of the thickest fibers, and the separation between the smaller and the larger groups until the beginning of adult life. The transition from a uni- into a bimodal histogram occurred gradually between 7 and 13 months. Total transverse fascicular area increased with age, whereas fiber density decreased significantly with age. The number of fibers remained stable over age. The relative proportion of the numbers of fibers in both groups described by one of the beta distributions remained constant over age. This occurred despite a marked decrease in the number of small fibers with a diameter less than, e.g., 6.5 microns. The results indicated an outgrowth of especially the larger myelinated fibers with age. This process continues with decreasing intensity into adult life.
A novel method for differentiating between correctly and incorrectly determined regions of protein structures based on characteristic atomic interaction is described. Different types of atoms are distributed nonrandomly with respect to each other in proteins. Errors in model building lead to more randomized distributions of the different atom types, which can be distinguished from correct distributions by statistical methods. Atoms are classified in one of three categories: carbon (C), nitrogen (N), and oxygen (O). This leads to six different combinations of pairwise noncovalently bonded interactions (CC, CN, CO, NN, NO, and OO). A quadratic error function is used to characterize the set of pairwise interactions from nine-residue sliding windows in a database of 96 reliable protein structures. Regions of candidate protein structures that are mistraced or misregistered can then be identified by analysis of the pattern of nonbonded interactions from each window.
A three-dimensional Voronoi tessellation of folded proteins is used to analyze geometrical and topological properties of a set of proteins. To each amino acid is associated a central point surrounded by a Voronoi cell. Voronoi cells describe the packing of the amino acids. Special attention is given to reproduction of the protein surface. Once the Voronoi cells are built, a lot of tools from geometrical analysis can be applied to investigate the protein structure; volume of cells, number of faces per cell, and number of sides per face are the usual signatures of the protein structure. A distinct difference between faces related to primary, secondary, and tertiary structures has been observed. Faces threaded by the main-chain have on average more than six edges, whereas those related to helical packing of the amino acid chain have less than five edges. The faces on the protein surface have on average five edges within 1% error. The average number of faces on the protein surface for a given type of amino acid brings a new point of view in the characterization of the exposition to the solvent and the classification of amino acid as hydrophilic or hydrophobic. It may be a convenient tool for model validation.
Tetrahydroimidazo-[4,5,l-jk][1,4]-benzodiazepin-2-(1H)-one (TIBO) derivatives are important nonnucleoside human immunodeficiency virus-1 reverse transcriptase inhibitors (NNRTI). Several TIBO derivatives have shown high potency to inhibit reverse transcriptase (RT) and one (Tivirapine) has entered into clinical trials. The free energy of binding (FEB) is a numerical way to express the binding affinity of a ligand to its receptor and has been applied in screening candidates in rational drug design. In this work, the FEB of 42 TIBOs in RT was studied. Relative FEB is expressed in the form of a linear combination of vdW, electrostatic, solvation, and nonpolar solvation energy terms. The predicted FEB activity of the TIBOs studied has a good correlation (r(2) = 0.8680, q(2) = 0.8298) with respect to the experimental activity (pIC(50)). Based on the data reported here, the Finite Difference Poisson Boltzmann with a Gaussian Smooth Dielectric Constant Function method (PB/GS) solvation energy term is very important in predicting the binding affinity of TIBOs in RT. In summary, the Dock-Molecular Mechanics (MM)-PB/GS method is a promising technique in predicting ligand/receptor binding affinity and it can be used to screen relatively large sets of molecules in a reasonable amount of computer time.
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