Significant Differences In Correlation Coefficients Research Articles

Differences in subcortical functional connectivity in patients with epilepsy.

Epilepsy is a disease characterized by abnormal paroxysmal bioelectrical activity in the brain cortex and subcortical structures. Seizures per se change brain metabolism in epileptic focus and in distal parts of the brain. However, interictal phenomena can also affect functional connectivity (FC) and brain metabolism in other parts of the brain. We hypothesised that epilepsy affects functional connectivity not only among cortical, but also between subcortical, structures of the brain in a resting state condition. Investigating functional connectivity in patients with epilepsy could provide insights into the underlying pathophysiological mechanisms. Better understanding may lead to more effective treatment strategies. Functional connectivity was analysed in 35 patients with epilepsy and in 28 healthy volunteers. The group of patients was divided into generalised and focal epilepsy (temporal and extratemporal subgroups). Each patient and healthy volunteer underwent an fMRI resting-state session. During the study, EEG signals were simultaneously recorded with fMRI to facilitate the subsequent detection of potential interictal epileptiform discharges (IEDs). Their potential impact on BOLD signals was mitigated through linear regression. The data was processed and correlation coefficients (FC values) between the BOLD signal from selected structures of the central nervous system were determined and compared between study groups. The results were presented as significant differences in correlation coefficients between brain/subcortical structures in the epilepsy and control groups. Lower FC values for the epilepsy group compared to the control group were shown for connections related to the MPFC, hippocampus, thalamus, amygdala, and the parahippocampal gyrus. Epilepsy alters the functional connectivity of resting state subcortical networks. Patterns of pathological changes of FC differ between epilepsy subtypes, with predominant lower FC between the hippocampus, parahippocampal gyrus, amygdala and thalamus in patients with epilepsy. This study suggests that epilepsy affects subcortical structures. Identifying distinct patterns of altered FC in epilepsy subtypes may help to tailor treatment strategies. Changes in FC detected by fMRI may precede clinical symptoms, aiding in the early diagnosis of cognitive and emotional disorders in focal epilepsy.

Utilization of the Unlinked Case Proportion to Control COVID-19: A Focus on the Non-pharmaceutical Interventional Policies of the Korea and Japan.

Korea and Japan have managed the spread of coronavirus disease 2019 (COVID-19) using markedly different policies, referred to as the "3T" and "3C" strategies, respectively. This study examined these differences to assess the roles of active testing and contact tracing as non-pharmaceutical interventions (NPIs). We compared the proportion of unlinked cases (UCs) and test positivity rate (TPR) as indicators of tracing and testing capacities. We outlined the evolution of NPI policies and investigated temporal trends in their correlations with UCs, confirmed cases, and TPR prior to the Omicron peak. Spearman correlation coefficients were reported between the proportion of UCs, confirmed cases, and TPR. The Fisher r-to-z transformation was employed to examine the significance of differences between correlation coefficients. The proportion of UCs was significantly correlated with confirmed cases (r=0.995, p<0.001) and TPR (r=0.659, p<0.001) in Korea and with confirmed cases (r=0.437, p<0.001) and TPR (r=0.429, p<0.001) in Japan. The Fisher r-to-z test revealed significant differences in correlation coefficients between the proportion of UCs and confirmed cases (z=16.07, p<0.001) and between the proportion of UCs and TPR (z=2.12, p=0.034) in Korea and Japan. Higher UCs were associated with increases in confirmed cases and TPR, indicating the importance of combining testing and contact tracing in controlling COVID-19. The implementation of stricter policies led to stronger correlations between these indicators. The proportion of UCs and TPR effectively indicated the effectiveness of NPIs. If the proportion of UCs shows an upward trend, more testing and contact tracing may be required.

Association of Aß deposition and regional synaptic density in early Alzheimer's disease: a PET imaging study with [11C]UCB-J

<h3>Introduction</h3> Synaptic loss is an early pathology in Alzheimer's disease (AD) and the major structural correlate of cognitive impairment. We have recently demonstrated extensive synaptic loss in the medial temporal and neocortical regions of participants with AD, using <i>in vivo</i> positron emission tomography (PET) imaging of synaptic vesicle glycoprotein 2A (SV2A), a promising biomarker of synaptic density. Attempts to associate amyloid-β (Aβ) pathogenesis with synaptic loss in AD however, have thus far been limited to small numbers of postmortem studies. Aβ plaque burden is not well-correlated with indices of clinical severity or neurodegeneration—at least in the dementia stage—as deposition of Aβ reaches a ceiling. In this study, we examined in vivothe association between fibrillar Aβ deposition and synaptic density in early AD using [¹¹C]PiB and [¹¹C]UCB-J PET. We hypothesized that global Aβ deposition would be more strongly inversely associated with hippocampal synaptic density in participants with amnestic mild cognitive impairment (aMCI, a stage of continued Aβ accumulation) compared to those with dementia (a stage of relative Aβ plateau). <h3>Methods</h3> [¹¹C]UCB-J (for SV2A) and [¹¹C]PiB (Aβ deposition) binding were measured in 14 participants with aMCI due to AD, 24 participants with mild AD dementia, and 19 cognitively normal (CN) participants aged 55-85 years. For [¹¹C]PiB data analysis, parametric images of binding potential (<i>BP</i>_ND) were generated using SRTM2 with cerebellum as a reference region and converted to distribution volume ratios (<i>DVR</i>). For [¹¹C]UCB-J, <i>BP</i>_NDwas computed using SRTM2 with a shrunken centrum semiovale reference region and converted to <i>DVR</i> with a cerebellum reference region. For the primary analysis of the association between global Aβ deposition and hippocampal SV2A binding in participants with aMCI and dementia, separate univariate regression analyses were performed for each diagnostic group with Pearson <i>r</i> and associated two-tailed <i>P</i> values reported for each model. Fisher <i>z</i>-transformation assessed significant differences in correlation coefficients between the aMCI and dementia groups, with one-tailed <i>P</i> values reported. Exploratory analyses examined correlations between both global and regional Aβ deposition and SV2A binding across a broad range of brain regions using both ROI- and surface-based approaches. Global Aβ deposition was determined for a composite of regions commonly affected by Aβ deposition in AD which included: prefrontal, lateral temporal, posterior cingulate/precuneus, and lateral parietal ROIs. <h3>Results</h3> The AD group showed significant widespread reductions in cortical and subcortical synaptic density, most pronounced in the medial temporal lobe, and significantly elevated cortical amyloid in regions commonly affected by AD pathology (Figure 1). We observed a significant inverse association between global Aβ deposition and hippocampal SV2A binding in participants with aMCI (r = -0.55, <i>P</i> = 0.04), but not mild dementia (r = 0.05, <i>P</i> = 0.82; difference statistically significant by Fisher <i>z</i>= -1.80, <i>P</i> = 0.04; Figure 2).This stronger association was observed to survive partial volume correction (aMCI <i>r</i>= -0.56, <i>P</i>= 0.04; dementia <i>r</i>= -0.01, <i>P</i>= 0.96; Fisher <i>z</i>= -1.67, <i>P</i>= 0.047). Exploratory analyses across other ROIs and whole brain analyses demonstrated no broad or consistent associations between global Aβ deposition and regional SV2A binding in either diagnostic group. ROI-based analyses of the association between regional Aβ deposition and SV2A binding also revealed no consistent pattern but suggested a nominal inverse association in the dementia group between local Aβ deposition and SV2A binding in medial occipital cortex and a more compelling, larger positive correlation between local Aβ accumulation and synaptic density in hippocampus (Table 1). <h3>Conclusions</h3> To our knowledge, we have conducted the first <i>in vivo</i> study investigating the relationship between Aβ deposition and synaptic alterations in participants with AD. We observed significant inverse associations between measures of global Aβ deposition and hippocampal synaptic density within participants with aMCI but not with dementia. Our findings lend support to a model in which fibrillar Aβ may still accumulating in the early stages of clinical disease but approaching a relative plateau, a point at which Aβ may uncouple from neurodegenerative processes including synaptic loss. Future research shouldinvestigate the relationship between Aβ deposition and synaptic loss in larger cohorts beginning preclinically and followed longitudinally in conjunction with other biomarkers. <h3>Funding</h3> P50-AG047270 (CHvD), P30-AG066508 [CHvD], K23-AG057794 (APM), R01-AG052560 (REC, CHV), R01-AG062276 (CHvD), Dana Foundation (MKC), T32-MH019961 (RSO), and Thomas P. Detre Fellowship (RSO).

Evaluating interactions between hyperglycemia and clotting factors in patients suffering with SARS-CoV-2 infection

Background. With coronavirus disease-19 (COVID-19), patients with diabetes mellitus are dealing with two pandemics and are at a higher risk of mortality. The present study was undertaken to evaluate interactions between hyperglycemia and clotting factors in COVID-19 patients. Methods. In this retrospective observational study, 53 real-time RT-PCR SARS-CoV-2 positive cases in 40 to 70 years of age, representing both sexes, were enrolled in the study from SMS Medical College, Jaipur (Rajasthan, India). Based on their history of diabetes mellitus and exclusion criterion, patients were divided into diabetics (N = 11) and non-diabetics (N = 17) groups. The data on clinical profile and coagulation profile was recorded along with the markers of inflammation and infection. The two groups were compared using the Mann-Whitney test and the Fisher’s exact test. Correlation coefficients between clotting factors were compared between two groups using Student t test. Results. There was no significant difference in age (p = 0.25) or gender (p = 0.12) between the two groups. The coagulation indicators FDP (p = 0.79), D-dimer (p = 0.30), APPT (p = 0.96), PT (p = 0.79), INR (p = 1.00) PLT (p = 0.17) and the markers of inflammation and infection did not differ significantly between the two groups. There was no significant difference in correlation coefficients among coagulation indicators between the two groups (p &gt; 0.05). Conclusion. The study concludes that pathogenesis in clotting system is not significantly different in stud-ied groups. Further research is needed to explain the higher mortality in diabetic patients suffering from COVID-19.

Comparison of the T2 effects of three T1 mapping sequences of the myocardium at 3T and 1.5T

Abstract Funding Acknowledgements Type of funding sources: None. Purpose To compare the T2 effects of three T1 mapping sequences of the myocardium at 3T and 1.5T. Materials and Methods We measured native T1 values by three T1 mapping sequences (FFM, MPI and LONG) and T2 values of 630 consecutive subjects (patients and healthy volunteers) in a mid-ventricular short axis slice by regions of interest (ROIs) placed conservatively within the septal myocardium. Correlations between myocardial T1 and T2 values were analyzed. Results Native T1 values differed significantly depending on the sequence, with MPI providing consistently higher mean values than FFM and LONG, LONG providing higher mean values than FFM (all p &amp;lt; 0.001). T1 by FFM, MPI and LONG in the total population, disease group, non-ischaemic cardiomyopathy group were all weakly related to T2 at 3T. The correlation coefficient of MPI were the highest in the total population and disease group, but there is no significant difference in correlation coefficients (all p &amp;gt; 0.05). Similarly, T1 by FFM, LONG in the total population, disease group, NICM group were all weakly-moderately related to T2 at 1.5T. In the control group, only T1 by MPI was moderately and positively related to T2(r = 0.469, p = 0.037). In the ischaemic cardiomyopathy group, only T1 by MPI was weakly and positively related to T2 (r = 0.334, p = 0.011). In the stress condition, T1 by FFM and MPI was weakly and positively related to T2 (r = 0.280,0.210, p = 0.001,0.012, respectively). Conclusion The T2 effects existed in three T1 mapping sequences of the myocardium in varying degrees, we should consider the potential bias from T2 when analyzing the abnormal T1 values of myocardium. Abstract Figure.

Improving the Combination of Satellite Soil Moisture Data Sets by Considering Error Cross Correlation: A Comparison Between Triple Collocation (TC) and Extended Double Instrumental Variable (EIVD) Alternatives

Satellite-derived geophysical variables provide valuable information about the earth's functioning, but there are errors that limit their direct uses. Linearly combining two or more data sources is a simple and efficient method to reduce the uncertainty between the truth and observations. However, calculating the optimal weight for such a linear combination generally needs a reference “truth” that is rarely available in practical applications. To address this limitation, a triple collocation (TC) technique is often used to estimate data error by using a data triplet without the truth. The TC-based error variances are then applied to calculate the optimal weight calculation with an assumption of independence between errors. However, ignoring the error cross-correlations (ECCs) can lead to inaccurate optimal weight for a linear combination and hence may degrade the performance of calculations using merged products. Recently, an extended double instrumental variable (EIVD) method has been proposed to estimate ECC using only three products like TC. In this study, we examined the performance of an EIVD-based linear combination approach through two applications using synthetic data and actual satellite-derived soil moisture (SM) products. For direct comparison, the TC-based linear combination was also implemented using the same data sets. The verification showed that the EIVD-based products are generally better than the TC-based products and result in statistically significant differences in correlation coefficients. While the results here are based on SM, the proposed method is potentially applicable for reconstruction of other data sets that seldom have suitable references in large-scale regional settings.

Creation of well-balanced experimental groups for comparative endodontic laboratory studies: a new proposal based on micro-CT and in silico methods.

To introduce a new method to select anatomically matched teeth using micro-computed tomographic (micro-CT) technology. Single-rooted mandibular incisors with a single root canal (n=60) were selected and distributed into three experimental groups according to the method used for matching 10 pairs of teeth in each group. In group 1, the pairs of mandibular incisors were randomly selected from a pool of teeth. In group 2, teeth were paired based on the measurement of canal width 5mm from the root apex using radiographs taken from buccolingual and mesiodistal directions. In group 3, teeth were scanned (pixel size of 14.25μm) and pair-matched based on the anatomical aspects of the root canal, named aspect ratio (AR), volume and three-dimensional canal geometry. After allocating the specimens into groups 1 and 2, the teeth were scanned and the canal morphology evaluated as in group 3. A bivariate Pearson's regression analysis was performed correlating the individual AR values of each pair, and the correlation coefficient was used to estimate the strength of the pair-matching process. One-way anova post hoc Tukey's tests were applied for pairwise comparisons at a significance level of 5%. The micro-CT revealed that 100% of the samples had strong (80%) or very strong (20%) correlations with respect to AR values. Analysis of the radiographic method revealed strong correlation in two pairs (20%), but most of the samples had weak (30%) or negligible (30%) correlation coefficients. The randomization method resulted in three pairs (30%) with very strong correlations, whilst 50% had weak or negligible rates. A significant difference in correlation coefficients was observed in the micro-CT method compared to the other groups (P<0.05), whilst no difference was detected between radiographic and randomized methods (P>0.05). Eta-squared (η2 ) calculations demonstrated a very high effect size in the micro-CT group for selecting pairs (0.99) and lower effect sizes in the radiographic (0.67) and randomized (0.66) groups. Use of Micro-CT was able to provide better control of the confounding effect that anatomical variances in tooth morphology may have on the results in experiments with matched-pair design.

Understanding the Physiological Significance of Four Inertial Gait Features in Multiple Sclerosis.

Gait impairment in multiple sclerosis (MS) can result from muscle weakness, physical fatigue, lack of coordination, and other symptoms. Walking speed, as measured by a number of clinician-administered walking tests, is the primary measure of gait impairment used by clinical researchers, but inertial gait features from body-worn sensors have been proven to add clinical value. This paper seeks to understand and differentiate the physiological significance of four such features with proven value in MS to facilitate adoption by clinical researchers and incorporation in gait monitoring and analysis systems. In addition, this information can be used to select features that might be appropriate in other forms of disability. Two of the four features are computed using the dynamic time warping (DTW) algorithm: The "DTW Score" is based on the usual DTW distance, and the "Warp Score" is based on the warping length. The third feature, based on kernel density estimation (KDE), is the "KDE Peak" value. Finally, the "Causality Index" is based on the phase slope index between inertial signals from different body parts. Relationships between these measures and the aforementioned gait-related symptoms are determined by applying factor analysis to three common, clinical walking outcomes, then correlating the inertial measures as well as walking speed to each extracted factor. Statistically significant differences in correlation coefficients to the three extracted clinical factors support their distinct physiological meaning and suggest they may have complimentary roles in the analysis of MS-related walking disability.

What is the Primary Source of Discordance in Strain Measurement Between Vendors: Imaging or Analysis?

Strain imaging quantifies myocardial deformation in both overt and subclinical myocardial diseases. Strain values have been shown to vary between vendors. The aim of this study was to investigate whether this variation reflects differences of image characteristics or analysis software. We enrolled 45 patients (age 54 ± 14 years, 26 males) who underwent two echocardiograms on the same day with two different commercially available ultrasound systems. Three apical views were analyzed by two vendor-specific and two digital imaging and communications in medicine (DICOM)-based software packages. The results were compared in two ways; comparison of global longitudinal strain (GLS) by nine different combinations of ultrasound systems and strain software, and comparison of strains by wall, view and global levels. Comparison of GLS between two vendor-specific software packages yielded poor correlation (ρ = 0.35). The use of the same software on the images from different vendors was concordant (ρ = 0.74 and 0.64; bias = 0.0 and −0.5). There were no significant differences in correlation coefficients among the comparisons with DICOM-based software. There was no significant difference in correlation coefficients among three views (4CV vs. 3CV, p = 0.44; 4CV vs. 2CV, p = 0.47). Comparison of walls showed the septum to have the best correlation (ρ = 0.73), and the posterior wall (ρ = 0.31; p = 0.005 vs. septum) had the worst. Use of the same software to measure strain in images from different vendors minimizes the variation of GLS. Post-processing is the most important determinant in inter-vendor variation, with differences in acquisition having a small effect. These findings should be examined and confirmed with other combinations of ultrasound machines and deformation software.

Can sphygmomanometers designed for self-measurement of blood pressure in the home be used in office practice?

To examine the possibility of measuring automated office (AO) blood pressure (BP) using home BP recorders in place of the more expensive, fully automated devices designed specifically for professional use. Three groups of 100 patients each had five AOBP readings recorded with one of three home BP devices while resting alone in a quiet examining room. These devices were also used to obtain 24 home BP readings during 6 days. Five AOBP readings were also recorded using the BpTRU device and all patients had 24-h ambulatory BP and manual BP readings taken. Mean systolic AOBP was within 3-4 mmHg of the mean awake ambulatory BP for each of the three home BP recorders whether used in the office setting or at home. Diastolic readings tended to be higher than the corresponding awake ambulatory BP. For the 139 patients with hypertension, mean (±standard deviation) AOBP taken with the home BP devices (146±14/86±12) was higher (P<0.001) than the awake ambulatory BP (142±11/81±12) and AOBP taken with the BpTRU device (141±15/82±12). Systolic BP at home (142±14/85±10) was also similar to the awake ambulatory BP but diastolic BP was higher (P<0.001). There were no significant differences in correlation coefficients between each set of AOBP readings and awake ambulatory BP. Home BP devices may be used to record AOBP in selected patients. However, a fully automated sphygmomanometer is still the device of choice for obtaining AOBP readings similar to the awake ambulatory BP in patients with suspected hypertension.

Age- and Gender-related Differences in Correlations between Abdominal Obesity and Obesity-related Metabolic Risk Factors in Japanese

There have been conflicting data regarding the relationship between obesity and coronary heart disease (CHD) in Japan. Obesity was reported to be a risk factor of CHD in young and middle-aged males, but not in females or older males. The age- and gender-related differences in the correlations between obesity and obesity-related metabolic risk factors might contribute to these conflicting data. Medical check-up data from 1,360 men and 821 women were divided into younger (= or < 51-year-old) and older (> 51-year-old) groups according to the median age and Spearman's correlation coefficients between waist circumference (WC) and obesity-related metabolic risk factors were calculated. The correlation coefficients between WC and triglyceride and between WC and high-sensitivity C-reactive protein (hs-CRP) were significantly stronger in younger men than in older men. There was no statistically significant difference in correlation coefficients between younger and older women. The correlation coefficients between WC and triglyceride, WC and HDL cholesterol, WC and hs-CRP, WC and gamma glutamyltransferase, and WC and alanine aminotransferase (ALT) were significantly stronger in younger men than in younger women. The correlation coefficient between WC and ALT was significantly stronger in older men than in older women. And the correlations between WC and SBP, WC and DBP, and WC and GGT tended to be stronger in younger men than in older men. The correlations between abdominal obesity and obesity-related metabolic risk factors were stronger in younger men than in older men and women among Japanese.

Relations between activities and counts of soil microorganisms

Microbial activities and counts of microorganisms were monitored as a part of research projects at 11 localities on arable land of different soil types during the years 2002–2006. The counts of microorganisms (total bacteria count, actinomycetes, micromycetes, &lt;I&gt;Azotobacter&lt;/I&gt;, oligotrophic and spore-forming bacteria) and microbial activities (respiration, ammonification and nitrification tests) were evaluated using summary statistics, analysis of variance and correlation coefficients. The average counts of microorganisms corresponded with usual counts of microbes in arable soils. There were only some differences among localities in &lt;I&gt;Azotobacter&lt;/I&gt; counts. Soil respiration is very often used as an indicator of soil microflora activity. Average values of basal respiration were slightly lower (0.45 mg CO&lt;sub&gt;2&lt;/sub&gt; /h per 100 g dry soil) than usual values, potential respiration with glucose (G) or with ammonium and G (NG) responded to usual values (average G 4.27, NG 9.53 mg CO&lt;sub&gt;2&lt;/sub&gt; /h per 100 g dry soil). All activities (except actual ammonification) were higher in spring season, but the differences were not significant. There were significant differences in correlation coefficients among the selected criteria; 66% from the total number of correlation coefficients were non-significant, 34% were significant (13% of them was at the significance level 0.05, 10% &lt;I&gt;P&lt;/I&gt; &lt; 0.01, and 11% &lt;I&gt;P&lt;/I&gt; &lt; 0.001).

Cystatin C as a measure of glomerular filtration in patients with kidney transplants

Assessment of renal function is of great importance in clinical medicine, especially in renal transplant patients requiring frequent controls of renal function. Therefore, continuous efforts have been made in searching precise and simple method for determination of glomerular filtration rate (GFR). Serum level of cystatin C (CyC), protein of low molecular weight, has been proposed as measure of GFR, but the data of its value in renal transplant patients are scarce [8-10]. The aim of this study was to compare the serum levels of low molecular weight proteins CyC and beta 2-microglobulin (beta 2-MG) with creatinine clearance, as well known measure of GFR, in renal transplant patients and control group of patients with different renal disease. The study included 36 patients divided into two groups. Group 1: 20 renal transplant patients (12 men and 8 women) aged between 22 and 63 (40.4 +/- 10.1) years with creatinine clearance from 7.1 to 77.7 ml/min. Group 2: 16 controls (5 men and 11 women) with various renal diseases, aged between 24 and 63 (41.5 +/- 12.5) years with creatinine clearance from 60.5 to 116.8 ml/min. N Latex Cystatin C and beta 2-microglobulin for the Behring Nephelometer System was used in this study. Creatinine was determined with Jaffe-reaction in serum and urine. In renal transplant patients as well as in control group of patients the significant correlation between creatinine clearance and reciprocal values of the serum CyC (rt = 0.828; pt < 0.001; rc = 0.603; pc < 0.05) and reciprocal values of the serum beta 2-MG levels (rt = 0.791; pt < 0.001; rc = 0.627; pc < 0.05) was found (Graph 1). There was a slightly better correlation between creatinine clearance and reciprocal values of the serum CyC than the one between creatinine clearance and reciprocal values of the serum beta 2-MG without statistical significance in renal transplant patients. There was no difference in correlation coefficients between both low molecular weight proteins and creatinine clearance in Group 2. The correlation coefficient between serum CyC and beta 2-MG was r = 0.839 (p < 0.001) in renal transplant patients and r = 0.835 (p < 0.05) in control group. There were no significant differences in correlation coefficients between reciprocal values of serum CyC and creatinine clearance (p = 0.2043) as well as reciprocal values of serum beta 2-MG and creatinine clearance (p = 0.3717) between Group 1 and Group 2. In renal transplant patients rapid assessment of graft function is necessary. This allows early recognition of rejection as well as differential diagnosis of different renal graft disorders. Study of Risch and co [16] suggested that serum CyC was very good marker for GFR in renal transplant patients which was confirmed by the other authors too [20-22]. During inflammatory process or other pathological conditions, especially during acute rejection or infections. CyC also provided precise assessment of GFR while creatinine clearance varied dramatically [16]. Serum concentration of beta 2-MG, another low molecular weight protein, also depends both on its production rate and the GFR [5, 19]. Its production is dramatically different in patients with infections [5] as well as while immunosuppressive drugs are used [16]. Therefore, beta 2-MG is impractical as GFR marker in patients with renal transplants. So, serum CyC was considered as better marker for GFR than beta 2-MG and creatinine clearance in renal transplant patients with different complications [16]. In this study serum CyC was slightly better marker for GFR than beta 2-MG, without statistical significance (Graph 1). Renal transplant patients, however, were in the stable condition at the time of the study. Serum CyC was moderately better marker of GFR than beta 2-MG in renal transplant patients when they were in the stable condition. Serum CyC and beta 2-MG were the same markers of GFR in control group of patients with various renal diseases. There was no significant difference in correlation coefficients between reciprocal values of the serum CyC and creatinine clearance (p = 0.2043) as well as reciprocal values of the serum beta 2-MG levels and creatinine clearance (p = 0.3717) between two examined groups of patients. The studies on renal transplant patients with acute graft rejection or infections are warranted.

Serum Cystatin C and β2-Microglobulin as Markers of Glomerular Filtration Rate

Continuous efforts have been made to find out precise and simple method for determination of glomerular filtration rate (GFR). Cystatin C (cysteine proteinase inhibitor = CyC) is a low molecular weight (LMW) protein which is produced constantly by all nucleated cells independently of different pathological conditions and eliminated from the blood exclusively by glomeruli. So, CyC closely reflects the GFR. In the present study 75 patients aged between 18 and 74 (44.3 ± 12.2) years were analyzed, with the aim to compare the reciprocal values of serum level of LMW proteins CyC and β2-microglobulin (β2-MG) with creatinine clearance (Ccr) as a measure of GFR. Patients were divided into groups according to sex, age (<60; >60 years) and renal diseases: patients with glomerulonephritis (GN) with and without nephrotic proteinuria, pyelonephritis (PyN), and renal transplant (Tx). High correlation between Ccr and 1/CyC (r = 0.81; p<0.01) and Ccr and 1/β2-MG (r = 0.80; p<0.01) in all examined patients was found. There was significant correlation between Ccr and 1/CyC (0.82 vs. 0.79) and Ccr and 1/β2-MG (0.85 vs. 0.76) in men as well in women, and also in two groups of patients formed according to the age (0.82 vs. 0.77; p<0.01; 0.80 vs. 0.81; p<0.01), without any statistical significant difference between the groups. In studied groups with different renal diseases, there were no differences in correlation coefficients between Ccr and 1/CyC and Ccr and 1/β2-MG (p1 = 0.29; p2 = 0.21; p3 = 0.79; p4 = 0.43), without statistical differences between the groups, except significant difference in correlation coefficients for Ccr and 1/β2-MG between patients with GN with and without nephrotic proteinuria (p<0.032). LMW proteins, serum CyC and β2-MG, are as good markers of GFR as Ccr, regardless sex and age. Both of these LMW proteins are good markers of GFR in patients with GN without nephrotic proteinuria, PyN and Tx patients. In patients with GN and nephrotic proteinuria serum CyC is a better marker of GFR than β2-MG.

The use of magnetic resonance images to investigate the influence of recruitment on the relationship between torque and cross-sectional area in human muscle.

The purpose of the present study was to investigate the effect of recruitment on the relationship between peak torque and physiological cross-sectional area (PCSA) in human muscle. A group of 11 healthy men participated in this study. Isokinetic knee extension torques at seven (0, 30, 60, 120, 180, 240, and 300 degrees x s(-1)) velocities were determined. Magnetic resonance imaging (MRI) was performed to calculate PCSA of right quadriceps femoris (QF) muscle. Exercise-induced contrast shifts in spin-spin relaxation time (T2)-weighted MRI were taken at rest and immediately after repetitive knee-extension exercise and T2 of QF were calculated. The MRI pixels with T2 values more than 1 SD greater than the means at rest were considered to represent QF muscle that had contracted. The area of activated PCSA within the total in QF was expressed as percentage activated PCSA and used as an index of muscle recruitment. The PCSA correlated with peak torque at 0 degree x s(-1) (r = 0.615, P<0.05); in contrast, activated PCSA correlated with peak torque at 120 degrees x s(-1) (r = 0.603, P<0.05) and 180 degrees x s(-1) (r = 0.606, P<0.05). Additionally, there was a significant difference in correlation coefficients between the activated PCSA-peak torque relationship and the PCSA-torque relationship (P<0.05). These results suggested that muscle recruitment affects the PCSA-torque relationship.

Predicting With the MMPI the Adjustment of Juvenile Delinquents to Institutionalization: Does Gender Make a Difference?

Relationships between Minnesota Multiphasic Personality Inventory (MMPI) scales and criteria were evaluated to determine if the MMPI is gender biased when considering a juvenile delinquent population. The MMPI was administered to 549 juvenile delinquents: 105 Black men, 37 Black women, 331 White men, and 76 White women. In addition, behavioral and rating measures were collected; they served as adjustment criteria. Except for the criterion assessing neurotic symptomatology, equations that regressed criteria on MMPI scales neither underpredicted nor overpredicted for a gender. The MMPI tended to underpredict ratings of neurotic symptomatology for women. Significant differences in correlation coefficients for Black men and women occurred for the behavioral, nonrating criteria. Scale 4 was the best predictor for Black men, whereas Scales, 8, F, 1, and 2 tended to be the best predictors for Black women. Some possible explanations for these results are offered.

Soil and plant calibration for cucumbers grown in the mid‐Atlantic coastal plain

Abstract Few soil test and plant tissue calibration data exist for cucumbers (Cucumis sativus L.). Two years of a singly‐replicated cucumber fertility study were conducted to develop soil and plant data for calibration purposes employing the Boundary Line Approach. Fertility treatments consisting of 4 K levels (as KC1), 3 Mg levels (as MgCl2), 3 pH levels (as Calcitic limestone), and 4 N rates (as urea ammonium nitrate) were factorilly arranged and completely randomized to give 108 treatments in both 1987 and 1988. Analyses were performed upon leaf samples for N, P, K, Ca and Mg at early bloom and soil samples for Mehlich (M) 1‐ and 3‐ P, K, Ca and Mg, and pH. Cucumber yields were determined on early (two fruit pickings) and total (four fruit pickings) sampling periods. High‐yielding cucumbers were attained at soil K (Ml = 64 mg/kg) and Mg (Ml = 29 mg/kg) levels lower than currently recommended. No significant differences in correlation coefficients between either Mehlich (Ml, M3) extractant and cucumber ...

Breeding implications from a diallel analysis in two environments of yield and component characters in upland cotton (Gossypium hirsutum)

In a full diallel set of crosses involving nine Albar 51 lines the genetic control of yield and yield components were largely accounted for by additive effects, although non-additive effects were evident. Significant differences in correlation coefficients between sites and the interaction of genetic effects indicate the effect of the environment on development and gene action. The failure to achieve yield improvements appears to stem from a combination of testing at the early selection stage in a single environment and of a narrow genetic base. The implications for future breeding programmes are discussed.