Expression of the central obesity and Type 2 Diabetes mellitus genes is associated with insulin resistance in young obese children

OBJECTIVES

The assessment of the health consequences associated with obesity in young children is challenging. The aims of this study were: (1) to compare insulin resistance indices derived from OGTT in obese patients and healthy control (2) to analyze central obesity and Type 2 Diabetes genes expression in obese children, with special attention to the youngest group (< 10 years old).

PATIENTS AND METHODS

The study included 49 children with obesity (median age 13.5 years old), and 25 healthy peers. Biochemical blood tests and expression of 11 central obesity and 33 Type 2 Diabetes genes was assessed.

RESULTS

A significant difference in insulin resistance between obese and non-obese adolescents was observed in all studied indices (mean values of the insulin levels: 24.9 vs. 9.71 mIU/L in T0, 128 vs. 54.7 mIU/L in T60 and 98.7 vs. 41.1 mIU/L in T120 respectively; AUC: 217 vs. 77.2 ng/ml*h, mean values of B% (state beta cell function), S% (insulin sensitivity), and IR were 255 (±97) vs. 135 (±37.8), 46.6 (±37.3) vs. 84.2 (±29.6) and 3 (±1.55) vs. 1.36 (±0,56); HIS, WBIS and ISIBel median 3.89, 44.7, 0.73 vs. 8.57, 110, 2.25. All comparisons differed significantly p<0.001). Moreover, insulin sensitivity was significantly better in the older obese group (>10 years old): median AUC 239 vs. 104 ng/ml*h, and HIS, WBIS and ISIBel 3.57, 38, 0.67 vs. 6.23, 75.6, 1.87 respectively in the obese older compared to the obese younger subgroup, p<0.05. The expression of 64% of the central obesity genes and 70% of Type 2 Diabetes genes was higher in the obese compared to control groups. The differences were more pronounced in the younger obese group.

CONCLUSION

Insulin resistance may develop in early stage of childhood obesity and in very young children may be associated with higher expression of the central obesity and Type 2 Diabetes genes.

Relation of atrial fibrillation and right-sided cardiac thrombus to outcomes in patients with acute pulmonary embolism

Atrial fibrillation (AF) can induce a hypercoagulable state in both the left and right atria. Thrombus in the right side of the heart (RHT) may lead to acute pulmonary embolism (APE). The aim of the study was to determine the prevalence of RHT and AF and to assess their impact on outcomes in patients with APE. The retrospective cohort included 1,006 patients (598 female), with a mean age of 66 ± 15 years. The primary end point was all-cause mortality. The secondary end point was incidence of complications (death, cardiogenic shock, cardiac arrest, vasopressor/inotrope treatment, or ventilatory support). Atrial fibrillation was detected in 231 patients (24%). RHT was observed in 50 patients (5%). The combination of AF and RHT was observed in 16 patients (2%). The overall mortality rate was significantly higher in patients with RHT compared with those without (32% vs 14%, respectively, odds ratio [OR] 3.0, 95% confidence interval [CI] 1.6 to 5.6, p = 0.001). The rate of complications was significantly higher in patients with RHT in comparison to those without (40% vs 22%, respectively, OR 2.4, 95% CI 1.3 to 4.4, p = 0.004). The mortality rate in patients with both AF and RHT was significantly higher in comparison to those with AF but without RHT (50% vs 20%, respectively, OR 3.86, 95% CI 1.3 to 11.2, p = 0.01). In multivariate analysis, RHT (p = 0.03) was an independent predictor of death. In conclusion, AF is a frequent co-morbidity in patients with APE, and the presence of RHT is not uncommon. Among patients with APE, the presence of RHT increases the mortality approximately threefold regardless of the presence of known AF.

Temporal trends and patterns in percutaneous treatment of coronary artery disease in Poland in the years 2005-2011

BACKGROUND

According to a recent survey, Poland is one of the leaders of interventional cardiology in Europe in terms of the number of primary percutaneous coronary intervention (PCI) procedures per million inhabitants.

AIM

To present temporal trends in epidemiology, demographics, treatment, and periprocedural outcome of patients referred for percutaneous coronary angiography and angioplasty in Poland in 2005-2011, based on the Polish National PCI Registry.

METHODS

Patients who underwent percutaneous coronary angiography (ANGIO group) and/or angioplasty (PCI group) were included in the Polish National PCI Registry - a prospective observational registry study in Poland.

RESULTS

There were 935,429 patients in the ANGIO group and 501,117 in the PCI group in Poland in 2005-2011. The number of catheterisation labs increased from 75 to 137, angiography procedures rose from 99,195 to 180,935, and PCIs from 50,297 to 99,614. The procedural mortality and stroke rates for the ANGIO group have remained stable whereas for the PCI group procedural mortality has increased over the years. The use of drug eluting stents (DESs) rose from 32.8% to 55.3% in stable angina and the use of a radial approach from 26.8% to 39.1%.

CONCLUSIONS

Use of modern attributes of interventional cardiology like DES stents, radial approach, and treatment of higher risk patients has increased in Poland in 2005-2011. The adoption of the "Stent for Life" initiative has resulted in an increasing number of percutaneous coronary procedures over the years.

Computer-based prediction of the drug proarrhythmic effect: problems, issues, known and suspected challenges

It is likely that computer modelling and simulations will become an element of comprehensive cardiac safety testing. Their role would be primarily the integration and the interpretation of previously gathered data. There are still unanswered questions and issues which we list and describe below. They include sources of data used for the development of the models as well as data utilized as input information, which can come from the in vitro studies and the quantitative structure-activity relationship models. The pharmacokinetics of the drugs in question play a crucial role as their active concentration should be considered, yet the question remains where is the right place to assess it. The pharmacodynamic angle includes complications coming from multiple drugs (i.e. active metabolites) acting in parallel as well as the type of interaction with (potentially) multiple affected channels. Once established, the model and the methodology of its use should be further validated, optimistically against individual data reported at the clinical level as the physiological, anatomical, and genetic parameters play a crucial role in the drug-triggered arrhythmia induction. All the abovementioned issues should be at least considered and-hopefully-resolved, to properly utilize the mathematical models for a cardiac safety assessment.

Model of the distribution of diastolic left ventricular posterior wall thickness in healthy adults and its impact on the behavior of a string of virtual cardiomyocytes

Correlation of the thickness of the left ventricular posterior wall (LVPWd) with various parameters, including age, gender, weight and height, was investigated in this study using regression models. Multicenter derived database comprised over 4,000 healthy individuals. The developed models were further utilized in the in vitro-in vivo (IVIV) translation of the drug cardiac safety data with use of the mathematical model of human cardiomyocytes operating at the virtual healthy population level. LVPWd was assumed to be equivalent to the length of one-dimensional string of virtual cardiomyocyte cells which was presented, as other physiological factors, to be a parameter influencing the simulated pseudo-ECG (pseudoelectrocardiogram), QTcF and ∆QTcF, both native and modified by exemplar drug (disopyramide) after I Kr current disruption. Simulation results support positive correlation between the LVPWd and QTcF/∆QTc. Developed models allow more detailed description of the virtual population and thus inter-individual variability influence on the drug cardiac safety.

Electrocardiographic abnormalities in patients with acute pulmonary embolism complicated by cardiogenic shock

BACKGROUND

Cardiogenic shock (CS) is a predictor of poor prognosis in patients with acute pulmonary embolism (APE).

OBJECTIVES

The aim of this study was to compare electrocardiography (ECG) parameters in patients with APE presenting with or without CS.

METHODS

A 12-lead ECG was recorded on admission at a paper speed of 25 mm/s and 10 mm/mV amplification. All ECGs were examined by a single cardiologist who was blinded to all other clinical data. All ECG measurements were made manually.

RESULTS

Electrocardiographic data from 500 patients with APE were analyzed, including 92 patients with CS. The following ECG parameters were associated with CS: S1Q3T3 sign, (odds ratio [OR]: 2.85, P<.001), qR or QR morphology of QRS in lead V1, (OR: 3.63, P<.001), right bundle branch block (RBBB) (OR: 2.46, P=.004), QRS fragmentation in lead V1 (OR: 2.94, P=.002), low QRS voltage (OR: 3.21, P<.001), negative T waves in leads V2 to V4 (OR: 1.81, P=.011), ST-segment depression in leads V4 to V6 (OR: 3.28, P<.001), ST-segment elevation in lead III (OR: 4.2, P<.001), ST-segment elevation in lead V1 (OR: 6.78, P<.01), and ST-segment elevation in lead aVR (OR: 4.35, P<.01). The multivariate analysis showed that low QRS voltage, RBBB, and ST-segment elevation in lead V1 remained statistically significant predictors of CS.

CONCLUSIONS

In patients with APE, low QRS voltage, RBBB, and ST-segment elevation in lead V1 were associated with CS.

In vitro-in vivo extrapolation of drug-induced proarrhythmia predictions at the population level

Drug cardiotoxicity is a serious issue for patients, regulators, pharmaceutical companies and health service payers because they are all affected by its consequences. Despite the wide range of data they generate, existing approaches for cardiac safety testing might not be adequate and sufficiently cost-effective, probably as a result of the complexity of the problem. For this reason, translational tools (based on biophysically detailed, mathematical models) allowing for in vitro-in vivo extrapolation are gaining increasing interest. This current review describes approaches that can be used for cardiac safety assessment at the population level, by accounting for various sources of variability including kinetics of the compound of interest.

Circadian models of serum potassium, sodium, and calcium concentrations in healthy individuals and their application to cardiac electrophysiology simulations at individual level

In the article a brief description of the biological basis of the regulation of human biological clocks was presented in order to introduce the role of circadian rhythms in physiology and specifically in the pharmacological translational tools based on the computational physiology models to motivate the need to provide models of circadian fluctuation in plasma cations. The main aim of the study was to develop statistical models of the circadian rhythm of potassium, sodium, and calcium concentrations in plasma. The developed ion models were further tested by assessing their influence on QT duration (cardiac endpoint) as simulated by the biophysically detailed models of human left ventricular cardiomyocyte. The main results are model equations along with an electronic supplement to the article that contains a fully functional implementation of all models.

Age and gender dependent heart rate circadian model development and performance verification on the proarrhythmic drug case study

BACKGROUND

There are two main reasons for drug withdrawals at the various levels of the development path - hepatic and cardiac toxicity. The latter one is mainly connected with the proarrhythmic potency and according to the present practice is supposed to be recognized at the pre-clinical (in vitro and animal in vivo) or clinical level (human in vivo studies). There are, although, some limitations to all the above mentioned methods which have led to novel in vitro - in vivo extrapolation methods being introduced. With the use of in silico implemented mathematical and statistical modelling it is possible to translate the in vitro findings into the human in vivo situation at the population level. Human physiology is influenced by many parameters and one of them which needs to be properly accounted for is a heart rate which follows the circadian rhythm. We described such phenomenon statistically which enabled the improved assessment of the drug proarrhythmic potency.

METHODS

A publicly available data set describing the circadian changes of the heart rate of 18 healthy subjects, 5 males (average age 36, range 26-45) and 13 females (average age 34, range 20-50) was used for the heart rate model development. External validation was done with the use of a clinical research database containing heart rate measurements derived from 67 healthy subjects, 34 males and 33 females (average age 33, range 17-72). The developed heart rate model was then incorporated into the ToxComp platform to simulate the impact of circadian variation in the heart rate on QTc interval. The usability of the combined models was assessed with moxifloxacin (MOXI) as a model drug.

RESULTS

The developed heart rate model fitted well, both to the training data set (RMSE = 128 ms and MAPE = 12.3%) and the validation data set (RMSE = 165 ms and MAPE = 17.1%). Simulations performed at the population level proved that the combination of the IVIVE platform and the population variability description allows for the precise prediction of the circadian variation of drugs proarrhythmic effect.

CONCLUSIONS

It can be concluded that a flexible and practically useful model describing the heart rate circadian variation has been developed and its performance was verified.

Changes in the properties of pig manure slurry

The paper presents the results of analyses of samples of manure from a pig farm located near Piła, Poland performed between June 2011 and May 2012 using a single sampling system. The statistical analyses of the average content of chemical and biological oxide demands, nitrogen, phosphorus, potassium, calcium and dry mass in the slurry in various seasons allowed us to draw conclusions concerning the changes in the chemical composition of the manure in specific seasons and to determine the correlations between the chemical parameters. The average content of N, BOD, P, and dry mass content tended to decrease systematically from the spring until the winter. The highest correlation coefficient, which indicates significant interdependency among the variables tested, was consistently found for COD and BOD, whereas the smallest correlation coefficient was found consistently for K and Ca and once for Ca and N.

High tea and vegetable consumption is associated with low ADMA generation in older healthy subjects

Asymmetric dimethylarginine (ADMA) has been recognized as a marker of cardiovascular risk. We sought to investigate whether consumption of tea, coffee, fruit or vegetables is associated with ADMA. In 148 consecutive apparently healthy subjects (104 men and 44 women aged 40 to 70), daily tea, coffee, fruit and vegetable consumption was ascertained by questionnaire. Plasma ADMA, symmetric dimethylarginine (SDMA), and l-arginine levels were measured by high-performance liquid chromatography. Median tea and coffee consumption was 2 cups/d, while vegetable and fruit intake was 152 (120-179)g/d and 120 (108-134)g/d, respectively. Median plasma ADMA, SDMA and arginine were 0.47 (0.43-0.53)μmol/L, 0.59 (0.54-0.66)μmol/L and 86 (68-101)μmol/L, respectively. ADMA correlated inversely with tea (r = -0.70, P < .0001) and vegetable consumption (r = -0.50, P < .0001) even after adjustment for age, sex, body mass index, smoking status, and potential dietary and biochemical parameters. No association between ADMA and fruit consumption was found. ADMA correlated positively with coffee intake (r = 0.37, P < .0001), although these associations were less potent after adjustment for dietary factors. Higher tea and vegetable intake is associated with lower plasma ADMA levels in healthy middle-aged subjects.

Electrocardiographic diagnosis of biventricular pacing in patients with nonapical right ventricular leads

BACKGROUND

Assessment of left ventricular (LV) capture is of paramount importance in patients with biventricular (BiV) pacing. Our goal was to identify electrocardiographic features that differentiate between BiV and right ventricular (RV)-only pacing in patients with nonapical RV leads.

METHODS

The study enrolled 300 consecutive patients with BiV devices and nonapical RV leads, and obtained from them 558 electrocardiograms with either BiV pacing (n = 300) or RV-only pacing (n = 258). RV pacing served as a surrogate for loss of LV capture. Electrocardiograms from the first 150 patients were used to identify BiV-specific features, and to construct an algorithm to differentiate between BiV and RV-only pacing. Electrocardiograms from the second 150 patients were used to validate the algorithm.

RESULTS

The following electrocardiographic features typical of BiV pacing were identified: QS in lead V6 (specificity = 98.7%, sensitivity = 54.7%), dominant R in lead V1 (specificity = 100%, sensitivity = 23.3%), q in lead V6 (specificity = 96%, sensitivity = 22.7%), and a QRS < 160 ms (specificity = 100%, sensitivity = 66.0%). The algorithm based on those features was found to have an overall diagnostic accuracy of 95.0%, a specificity of 96.0%, and a sensitivity of 93.5%.

CONCLUSIONS

The study identified QRS features that were very specific for BiV pacing in patients with nonapical RV leads. Sequential arrangement of those features resulted in an algorithm that was very accurate for differentiating between BiV pacing and loss of LV capture.

Predictive model for L-type channel inhibition: multichannel block in QT prolongation risk assessment

Evaluation of the proarrhythmic potential of an investigated compound is now an integral element of the safety profile required for the approval of new drugs. The human ether-à-go-go-related gene (hERG) channel blocking potency is regarded as a surrogate marker of the proarrhythmic risk at the early stages of the research and development process. However, there is no straight correlation between QT prolongation and TdP occurrence probability, and hERG inhibition potential can be an inadequate predictor of QT prolongation. The L-type calcium channel plays a pivotal role in cardiomyocytes' physiology. Thus the main aim of this study was to develop a predictive model for drug-triggered CaL channel inhibition and also the assessment of drug-multichannel interaction effects on the heart rate-corrected QT interval. The data set, consisting of 123 records describing in vitro experimental settings, measured IC₅₀ values and calculated physico-chemical properties for 72 various chemicals, was collected. The models were tested in a modified 10-fold cross-validation procedure. The generalization ability of the best model was as follows: root mean squared error (RMSE) = 1.10, normalized root mean squared error (NRMSE) = 16.09%. Out of the 10 most important variables, 5 described conditions of the in vitro experiments thus their description and experiment's conditions standardization might be the key to the models better performance. The simulations performed with the ToxComp system showed that the hERG block alone causes concentration-dependent QT prolongation, whereas when multichannel block is regarded, the effect could be reversed. For that reason, the multichannel interaction of tested compounds should be taken into consideration, in order to make the proarrhythmic risk assessment more reliable.

Inter-individual variability in the pre-clinical drug cardiotoxic safety assessment--analysis of the age-cardiomyocytes electric capacitance dependence

Electrical phenomena located within the plasma membrane of the mammalian cardiac cells are connected with the cells' main physiological functions--signals processing and contractility. They were extensively studied and described mathematically in so-called Hodgkin-Huxley paradigm. One of the physiological parameters, namely cell electric capacitance, has not been analyzed in-depth. The aim of the study was to validate the mechanistic model describing the capacitive properties of cells, based on a collected experimental dataset which describes the electric capacitance of human ventricular myocytes. The gathered data was further utilized for developing an empirical correlation between a healthy individual's age and cardiomyocyte electric capacitance.

Virtual population generator for human cardiomyocytes parameters: in silico drug cardiotoxicity assessment

BACKGROUND

The anatomical and histological parameters of the human ventricle depend on many factors including age and sex. Myocyte volume and electric capacitance are significant physiological parameters of left ventricle cardiomyocyte mathematical models. They allow the assessment of inter-individual variability during in vitro-in vivo extrapolation of the drug cardiotoxic effect.

OBJECTIVE

The current research was carried out to analyze the relationship between age, human left ventricle cardiomyocyte volume, and electric capacitance in a healthy population.

METHODS

In order to collect data describing cardiomyocyte volume and membrane area, literature searches were performed. It was assumed that the cardiomyocyte volume (VOL) and area (AREA) distribution have non-negative support and are skewed to the right. A log-linear model with constant variance was used. A simulation study was run to assess the influence of physiological parameters on action potential duration.

RESULTS

The coefficient of determination for the proposed model R(2) = 0.95, that is, 95% of the variability observed in log cardiomyocyte volume can be explained by the estimated regression equation. To allow simple calculation and model performance validation, a simple Excel file was developed (Supplementary material).

CONCLUSIONS

To the best of our knowledge, there is no other model available, combining age, cardiomyocyte volume, and area. The main limitations of the proposed models result from the assumptions made at the data analysis stage. The limited amount of information available in the literature and the lack of differentiation between sexes results in one common equation. The developed model is a part of the computational system for drug cardiotoxicity assessment.

Nɛ-homocysteinyl-lysine isopeptide is associated with progression of peripheral artery disease in patients treated with folic acid

OBJECTIVE

Folic acid (FA) administration can reduce plasma total homocysteine (tHcy); however, it fails to decrease cardiovascular events and progression of peripheral artery disease (PAD). Nɛ-homocysteinyl-lysine isopeptide (Nɛ-Hcy-Lys) is formed during catabolism of homocysteinylated proteins. We sought to investigate factors that determine the presence of Nɛ-Hcy-Lys in PAD patients with hyperhomocysteinemia receiving FA.

PATIENTS AND METHODS

We studied 131 consecutive PAD patients with tHcy > 15 μmol l(-1) taking FA 0.4 mg d(-1) for 12 months. Serum Nɛ-Hcy-Lys was determined by high-performance liquid chromatography (HPLC). We also measured interleukin-6 (IL-6), plasminogen activator inhibitor-1 (PAI-1), asymmetric dimethylarginine (ADMA) and 8-iso-prostaglandin F(2α) (8-iso-PGF(2α)).

RESULTS

FA administration resulted in a 70.5% decrease in tHcy (p < 0.0001). However, serum Nɛ-Hcy-Lys was detectable in 28 (21.4%) patients on FA who were more frequently current smokers and survivors of ischaemic stroke (p < 0.001). They had higher tHcy by 46.0%, PAI-1 by 51.7%, 8-iso-PGF(2α) by 59.1% and ADMA by 26.4% (all, p < 0.0001). The presence of Nɛ-Hcy-Lys was associated with lower ankle-brachial index (ABI) values (p < 0.001) and higher prevalence of cardiovascular events (p < 0.001) following therapy.

CONCLUSION

The presence of Nɛ-Hcy-Lys in one-fifth of hyperhomocysteinemic individuals with PAD despite FA treatment is associated with progression of PAD and with increased ADMA formation, oxidative stress and hypofibrinolysis.

Slow delayed rectifying potassium current (IKs ) - analysis of the in vitro inhibition data and predictive model development

The excitable cell membranes contain ion channels that allow the ions passage through the specific pores via a passive process. Assessment of the inhibition of the IKr (hERG) current is considered to be the main target during the drug development process, although there are other ionic currents for which drug-triggered modification can either potentiate or mask hERG channel blockade. Information describing the results of in vitro studies investigating the chemical-IKs current interactions has been developed in the current study. Based on the publicly available data sources, 145 records were collected. The final list of publications consists of 64 positions and refers to 106 different molecules connected with IKs current inhibition, with at least one IC50 value measured. Ultimately, 98 of the IC50 values expressed as absolute values were gathered. For 36 records the IC50 was expressed as a relative value. For the 11 remaining records, the inhibition was not clearly expressed. Based on the collected data the predictive models for the IC50 estimation were developed with the use of various algorithms. The extended Quantitative Structure-Activity Relationships (QSAR) methodology was applied and the in vitro research settings were included as independent variables, apart from the physico-chemical descriptors calculated with the use of the Marvin Calculator Plugins. The root mean squared error and normalized root mean squared error values for the best model (an expert system based on two independent artificial neural networks) were 0.86 and 14.04%, respectively. The model was further built into the ToxComp system, the ToxIVIVE tool specialized for cardiotoxicity assessment of drugs.

BDTcomparator: a program for comparing binary classifiers

SUMMARY

The BDTcomparator facilitates the selection of the best performing binary classification model or binary diagnostic procedure from the many possible alternatives by comparing their predictions with a known output, measured with the use of a system recognized as the gold standard. The program calculates the estimates of accuracy, sensitivity, specificity, predictive values and diagnostic likelihood ratios along with appropriate confidence intervals. Furthermore, all pairwise comparisons with respect to the above-mentioned measures are calculated. The formatted results can be exported to a text-file.

AVAILABILITY AND IMPLEMENTATION

BDTcomparator is distributed under the GNU GPLv3 license and is freely available for download from http://www.tox-portal.net. We provide programs for both Linux and Windows operating systems. The source code of the program is provided in our companion website http://code.google.com/p/bdtcomparator/.

CONTACT

kamil.fijorek@uek.krakow.pl

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

The open-access dataset for insilico cardiotoxicity prediction system

Drug cardiotoxicity is one of the main reasons of fatal drug related problem events and the subsequent withdrawals. Therefore, its early assessment is a crucial element of the drug development process. For the drug driven hERG inhibition assessment, which is assumed to be the main reason for toxicity, in vitro techniques are used. Gold standards are based on the Patch Clamp method with the use of various cell models but due to its low throughput, insilico models have become more appreciated. To develop a reliable empirical QSAR model, wide dataset containing a variety of cases has to be available. In this article, a freely available for download, set of data is described. It is based on literature peer-reviewed reports and contains hERG inhibition information expressed as IC50 value for 263 molecules described in 642 records. All studies were done with the use of three cell models (XO, CHO, HEK) and other elements describe the electrophysiological settings of the in vitro study. The above mentioned set was used for the successful development of the predictive models.