Discrimination of painting binders subjected to photo-ageing by using microspectrofluorometry coupled with deconvolution analysis

2009 ◽  
Vol 10 (2) ◽  
pp. 198-205 ◽  
Author(s):  
Paolo Matteini ◽  
Mara Camaiti ◽  
Giovanni Agati ◽  
Maria-Antonietta Baldo ◽  
Stefania Muto ◽  
...  
Author(s):  
Michiel J. van Esdonk ◽  
Jasper Stevens

AbstractThe quantitative description of individual observations in non-linear mixed effects models over time is complicated when the studied biomarker has a pulsatile release (e.g. insulin, growth hormone, luteinizing hormone). Unfortunately, standard non-linear mixed effects population pharmacodynamic models such as turnover and precursor response models (with or without a cosinor component) are unable to quantify these complex secretion profiles over time. In this study, the statistical power of standard statistical methodology such as 6 post-dose measurements or the area under the curve from 0 to 12 h post-dose on simulated dense concentration–time profiles of growth hormone was compared to a deconvolution-analysis-informed modelling approach in different simulated scenarios. The statistical power of the deconvolution-analysis-informed approach was determined with a Monte-Carlo Mapped Power analysis. Due to the high level of intra- and inter-individual variability in growth hormone concentrations over time, regardless of the simulated effect size, only the deconvolution-analysis informed approach reached a statistical power of more than 80% with a sample size of less than 200 subjects per cohort. Furthermore, the use of this deconvolution-analysis-informed modelling approach improved the description of the observations on an individual level and enabled the quantification of a drug effect to be used for subsequent clinical trial simulations.


2009 ◽  
Vol 179 (1) ◽  
pp. 101-110 ◽  
Author(s):  
Cliff C. Kerr ◽  
Christopher J. Rennie ◽  
Peter A. Robinson

2002 ◽  
pp. 323-332 ◽  
Author(s):  
A Sartorio ◽  
G De Nicolao ◽  
D Liberati

OBJECTIVE: The quantitative assessment of gland responsiveness to exogenous stimuli is typically carried out using the peak value of the hormone concentrations in plasma, the area under its curve (AUC), or through deconvolution analysis. However, none of these methods is satisfactory, due to either sensitivity to measurement errors or various sources of bias. The objective was to introduce and validate an easy-to-compute responsiveness index, robust in the face of measurement errors and interindividual variability of kinetics parameters. DESIGN: The new method has been tested on responsiveness tests for the six pituitary hormones (using GH-releasing hormone, thyrotrophin-releasing hormone, gonadotrophin-releasing hormone and corticotrophin-releasing hormone as secretagogues), for a total of 174 tests. Hormone concentrations were assayed in six to eight samples between -30 min and 120 min from the stimulus. METHODS: An easy-to-compute direct formula has been worked out to assess the 'stimulated AUC', that is the part of the AUC of the response curve depending on the stimulus, as opposed to pre- and post-stimulus spontaneous secretion. The weights of the formula have been reported for the six pituitary hormones and some popular sampling protocols. RESULTS AND CONCLUSIONS: The new index is less sensitive to measurement error than the peak value. Moreover, it provides results that cannot be obtained from a simple scaling of either the peak value or the standard AUC. Future studies are needed to show whether the reduced sensitivity to measurement error and the proportionality to the amount of released hormone render the stimulated AUC indeed a valid alternative to the peak value for the diagnosis of the different pathophysiological states, such as, for instance, GH deficits.


1995 ◽  
Vol 16 (5) ◽  
pp. 404
Author(s):  
R. Volkmann ◽  
M. Ekman ◽  
S. Carlsson ◽  
G. Jensen ◽  
M. Moonen ◽  
...  

1997 ◽  
Vol 272 (6) ◽  
pp. E1108-E1116 ◽  
Author(s):  
N. Vahl ◽  
J. O. Jorgensen ◽  
C. Skjaerbaek ◽  
J. D. Veldhuis ◽  
H. Orskov ◽  
...  

We tested the hypothesis that body composition is the major predictor of growth hormone (GH) secretion in nonobese adults. We measured lean and fat tissue distribution (computerized tomography and dual-energy X-ray absorptiometry scan) and physical fitness [maximal oxygen consumption (Vo2max)] in 42 healthy nonobese adults (22 women and 20 men, age range 27-59 yr, mean +/- SE body mass index = 24 +/- 0.5 kg/m2). Deconvolution analysis was used to estimate specific features of 24-h GH secretion and clearance. Approximate entropy was used to quantify the regularity of GH release. Older subjects exhibited decreased estimates of GH secretion compared with younger subjects. Females had higher estimates of GH secretion, a longer GH half-life, and displayed more irregularity in GH release than males. Mean 24-h serum GH concentrations correlated inversely with intra-abdominal fat and waist-to-hip ratio and positively with Vo2max. Multiple linear regression analysis revealed intra-abdominal fat as the dominant determinant of estimates of GH secretion. Vo2max was more important than sex and age in predicting GH secretion. We conclude that abdominal fat is the major determinant of GH secretion in healthy nonobese adults. Although the underlying mechanisms remain elusive, our findings extend the clinical implications of visceral adiposity to include hyposomatotropism.


PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0250582
Author(s):  
Arvin Chireh ◽  
Rikard Grankvist ◽  
Mikael Sandell ◽  
Abdul Kadir Mukarram ◽  
Fabian Arnberg ◽  
...  

Micro-endomyocardial biopsy (micro-EMB) is a novel catheter-based biopsy technique, aiming to increase flexibility and safety compared to conventional EMB. The technique was developed and evaluated in healthy swine. Therefore, the ability to detect disease related tissue changes could not be evaluated. The aim of the present pilot study was to investigate the ability to detect disease related gene expression changes using micro-EMB. Myocardial infarction was induced in three swine by coronary artery balloon occlusion. Micro-EMB samples (n = 164) were collected before, during, and after occlusion. RNA-sequencing was performed on 85 samples, and 53 of these were selected for bioinformatic analysis. A large number of responding genes was detected from the infarcted area (n = 1911). The early responding genes (n = 1268) were mostly related to apoptosis and inflammation. There were fewer responding genes two days after infarction (n = 6), which were related to extra-cellular matrix changes, and none after 14 days. In contrast to the infarcted area, samples harvested from a non-infarcted myocardial region showed considerably fewer regulated genes (n = 33). Deconvolution analysis, to estimate the proportion of different cell types, revealed a higher proportion of fibroblasts and a reduced proportion of cardiomyocytes two days after occlusion compared to baseline (p < 0.02 and p < 0.01, respectively. S5 File). In conclusion, this pilot study demonstrates the capabilities of micro-EMB to detect local gene expression responses at an early stage after ischemia, but not at later timepoints.


1994 ◽  
Vol 5 (5) ◽  
pp. 1208-1215
Author(s):  
F Schaefer ◽  
B van Kaick ◽  
J D Veldhuis ◽  
G Stein ◽  
K Schärer ◽  
...  

To investigate the effect of recombinant human erythropoietin (rh-EPO) on the hypothalamo-pituitary-gonadal axis in end-stage renal failure, plasma luteinizing hormone (LH) concentration release was assessed by frequent blood sampling (every 10 min), both during an 8-h baseline period and after stimulation with an iv bolus of gonadotropin-releasing hormone (GnRH). Seven adult hemodialyzed men were studied before and after partial correction of anemia by rh-EPO treatment. LH was determined by an in vitro Leydig cell bioassay (bio-LH) and a highly sensitive immunoradiometric assay. Pulsatile bio-LH secretion and clearance characteristics were assessed by multiple-parameter deconvolution analysis. Although the rh-EPO treatment did not lead to a change in average concentrations of plasma bio-LH, the mass of hormone released per secretory burst more than doubled, and the estimated bio-LH production rate increased from 8.8 +/- 2.3 to 15.6 +/- 5.2 IU/L per hour (P = 0.05). The lack of change in mean plasma bio-LH is explained by a simultaneous decrease in plasma half-life from 106 +/- 27 to 67 +/- 19 min (P < 0.02). The decrease in the plasma half-life of bio-LH was closely associated with the rise in hematocrit, suggesting an effect of the increased red blood cell mass on LH distribution space and elimination kinetics. As a consequence of the changes in hormone kinetics, the incremental amplitudes of the plasma concentration pulses of bio-LH increased from 112 to 121% of nadir levels (P < 0.05), resulting in a more distinctly pulsatile pattern of hormone signals.(ABSTRACT TRUNCATED AT 250 WORDS)


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