Meltdown - a tool for classification and analysis of DSF data

An application that translates raw thermal melt curve data into more easily assimilated knowledge is described. This program, called ‘Meltdown’, performs a number of data remediation steps before classifying melt curves and estimating melting temperatures. The final output is a report that summarizes the results of a differential scanning fluorimetry experiment. Meltdown uses a Bayesian classification scheme, enabling reproducible identification of various trends commonly found in DSF datasets. The goal of Meltdown is not to replace human analysis of the raw data, but to provide a sensible interpretation of the data to make this useful experimental technique accessible to naïve users, as well as providing a starting point for detailed analyses by more experienced users.

A study of interaction between two He+ ions in terms of the electronic forces

The potential energy curve of the He2+2 system dissociating into two He+ ions is examined in terms of the electronic force exerted on each nucleus as a function of the internuclear separation. The results are compared with the process of bond-formation in H2 from the separated atoms.

Generations and turnout : The generational effect in electoral participation in Finland

The relationship between age and turnout has been curve-linear as electoral participation first increases with age, remains relatively stable throughout middle-age and then gradually declines as certain physical infirmities set in (see e.g. Milbrath 1965). Alongside this life-cycle effect in voting, recent pooled cross-sectional analyses (see e.g. Blais et al. 2004; Lyons and Alexander 2000) have shown that there is also a generational effect, referring to lasting differences in turnout between various age groups. This study firstly examines the extent to which the generational effect applies in the Finnish context. Secondly, it investigates the factors accounting for that effect. The first article, based on individual-level register data from the parliamentary elections of 1999, shows that turnout differences between the different age groups would be even larger if there were no differences in social class and education. The second article examines simultaneously the effects of age, generation and period in the Finnish parliamentary elections of 1975-2003 based on pooled data from Finnish voter barometers (N = 8,634). The results show that there is a clear life cycle, generational and period effect. The third article examines the role of political socialisation in accounting for generational differences in electoral participation. Political socialisation is defined as the learning process in which an individual adopts various values, political attitudes, and patterns of actions from his or her environment. The multivariate analysis, based on the Finnish national election study 2003 (N=1,270), indicated that if there were no differences in socialisation between the youngest and the older generations, the difference in turnout would be much larger than if only sex and socioeconomic factors are controlled for. The fourth article examines other possible factors related to generational effect in voting. The results mainly apply to the Finnish parliamentary elections of 2003 in which we have data available. The results show that the sense of duty by far accounts for the generational effect in voting. Political interest, political knowledge and non-parliamentary participation also narrowed the differences in electoral participation between the youngest and the second youngest generations. The implication of the findings is that the lower turnout among the current youth is not a passing phenomenon that will diminish with age. Considering voting a civic duty and understanding the meaning of collective action are both associated with the process of political socialisation which therefore has an important role concerning the generational effect in turnout.

Dynamics of inflation expectations in the euro area

The present study examines empirically the inflation dynamics of the euro area. The focus of the analysis is on the role of expectations in the inflation process. In six articles we relax rationality assumption and proxy expectations directly using OECD forecasts or Consensus Economics survey data. In the first four articles we estimate alternative Phillips curve specifications and find evidence that inflation cannot instantaneously adjust to changes in expectations. A possible departure of expectations from rationality seems not to be powerful enough to totally explain the persistence of euro area inflation in the New Keynesian framework. When expectations are measured directly, the purely forward-looking New Keynesian Phillips curve is outperformed by the hybrid Phillips curve with an additional lagged inflation term and the New Classical Phillips curve with a lagged expectations term. The results suggest that the euro area inflation process has become more forward-looking in the recent years of low and stable inflation. Moreover, in low inflation countries, the inflation dynamics have been more forward-looking already since the late 1970s. We find evidence of substantial heterogeneity of inflation dynamics across the euro area countries. Real time data analysis suggests that in the euro area real time information matters most in the expectations term in the Phillips curve and that the balance of expectations formation is more forward- than backward-looking. Vector autoregressive (VAR) models of actual inflation, inflation expectations and the output gap are estimated in the last two articles.The VAR analysis indicates that inflation expectations, which are relatively persistent, have a significant effect on output. However,expectations seem to react to changes in both output and actual inflation, especially in the medium term. Overall, this study suggests that expectations play a central role in inflation dynamics, which should be taken into account in conducting monetary policy.

Dark matter dominance at all radii in the superthin galaxy UGC 7321

We model the shape and density profile of the dark matter halo of the low surface brightness, superthin galaxy UGC 7321, using the observed rotation curve and the H i scale height data as simultaneous constraints. We treat the galaxy as a gravitationally coupled system of stars and gas, responding to the gravitational potential of the dark matter halo. An isothermal halo of spherical shape with a core density in the range of View the MathML source and a core radius between 2.5 and 2.9 kpc, gives the best fit to the observations for a range of realistic gas parameters assumed. We find that the best-fit core radius is only slightly higher than the stellar disc scale length (2.1 kpc), unlike the case of the high surface brightness galaxies where the halo core radius is typically 3–4 times the disc scale length of the stars. Thus our model shows that the dark matter halo dominates the dynamics of the low surface brightness, superthin galaxy UGC 7321 at all radii, including the inner parts of the galaxy.

Enhancement of (BH)(max) in a hard-soft-ferrite nanocomposite using exchange spring mechanism

We have observed the exchange spring behavior in the soft (Fe3O4)-hard (BaCa2Fe16O27)-ferrite composite by tailoring the particle size of the individual phases and by suitable thermal treatment of the composite. The magnetization curve for the nanocomposite heated at 800 degrees C shows a single loop hysteresis showing the existence of the exchange spring phenomena in the composite and an enhancement of 13% in (BH)(max) compared to the parent hard ferrite (BaCa2Fe16O27). The Henkel plot provides the proof of the presence of the exchange interaction between the soft and hard grains as well as its dominance over the dipolar interaction in the nanocomposite.

Measuring the expressed emotion in Chinese family caregivers of persons with dementia: Validation of a Chinese version of the Family Attitude Scale

- Background Expressed emotion (EE) captures the affective quality of the relationship between family caregivers and their care recipients and is known to increase the risk of poor health outcomes for caregiving dyads. Little is known about expressed emotion in the context of caregiving for persons with dementia, especially in non-Western cultures. The Family Attitude Scale (FAS) is a psychometrically sound self-reporting measure for EE. Its use in the examination of caregiving for patients with dementia has not yet been explored. - Objectives This study was performed to examine the psychometric properties of the Chinese version of the FAS (FAS-C) in Chinese caregivers of relatives with dementia, and its validity in predicting severe depressive symptoms among the caregivers. - Methods The FAS was translated into Chinese using Brislin's model. Two expert panels evaluated the semantic equivalence and content validity of this Chinese version (FAS-C), respectively. A total of 123 Chinese primary caregivers of relatives with dementia were recruited from three elderly community care centers in Hong Kong. The FAS-C was administered with the Chinese versions of the 5-item Mental Health Inventory (MHI-5), the Zarit Burden Interview (ZBI) and the Revised Memory and Behavioral Problem Checklist (RMBPC). - Results The FAS-C had excellent semantic equivalence with the original version and a content validity index of 0.92. Exploratory factor analysis identified a three-factor structure for the FAS-C (hostile acts, criticism and distancing). Cronbach's alpha of the FAS-C was 0.92. Pearson's correlation indicated that there were significant associations between a higher score on the FAS-C and greater caregiver burden (r = 0.66, p < 0.001), poorer mental health of the caregivers (r = −0.65, p < 0.001) and a higher level of dementia-related symptoms (frequency of symptoms: r = 0.45, p < 0.001; symptom disturbance: r = 0.51, p < 0.001), which serves to suggest its construct validity. For detecting severe depressive symptoms of the family caregivers, the receiving operating characteristics (ROC) curve had an area under curve of 0.78 (95% confidence interval (CI) = 0.69–0.87, p < 0.0001). The optimal cut-off score was >47 with a sensitivity of 0.720 (95% CI = 0.506–0.879) and specificity of 0.742 (95% CI = 0.643–0.826). - Conclusions The FAS-C is a reliable and valid measure to assess the affective quality of the relationship between Chinese caregivers and their relatives with dementia. It also has acceptable predictability in identifying family caregivers with severe depressive symptoms.

A real-time algorithm for simulation of flexible objects and hyper-redundant manipulators

Flexible objects such as a rope or snake move in a way such that their axial length remains almost constant. To simulate the motion of such an object, one strategy is to discretize the object into large number of small rigid links connected by joints. However, the resulting discretised system is highly redundant and the joint rotations for a desired Cartesian motion of any point on the object cannot be solved uniquely. In this paper, we revisit an algorithm, based on the classical tractrix curve, to resolve the redundancy in such hyper-redundant systems. For a desired motion of the `head' of a link, the `tail' is moved along a tractrix, and recursively all links of the discretised objects are moved along different tractrix curves. The algorithm is illustrated by simulations of a moving snake, tying of knots with a rope and a solution of the inverse kinematics of a planar hyper-redundant manipulator. The simulations show that the tractrix based algorithm leads to a more `natural' motion since the motion is distributed uniformly along the entire object with the displacements diminishing from the `head' to the `tail'.

Cytochrome P450-mediated drug interactions affecting lidocaine

Lidocaine is a widely used local anaesthetic agent that also has anti-arrhythmic effects. It is classified as a type Ib anti-arrhythmic agent and is used to treat ventricular tachycardia or ventricular fibrillation. Lidocaine is eliminated mainly by metabolism, and less than 5% is excreted unchanged in urine. Lidocaine is a drug with a medium to high extraction ratio, and its bioavailability is about 30%. Based on in vitro studies, the earlier understanding was that CYP3A4 is the major cytochrome P450 (CYP) enzyme involved in the metabolism of lidocaine. When this work was initiated, there was little human data on the effect of inhibitors of CYP enzymes on the pharmacokinetics of lidocaine. Because lidocaine has a low therapeutic index, medications that significantly inhibit lidocaine clearance (CL) could increase the risk of toxicity. These studies investigated the effects of some clinically important CYP1A2 and CYP3A4 inhibitors on the pharmacokinetics of lidocaine administered by different routes. All of the studies were randomized, double-blind, placebo-controlled cross-over studies in two or three phases in healthy volunteers. Pretreatment with clinically relevant doses of CYP3A4 inhibitors erythromycin and itraconazole or CYP1A2 inhibitors fluvoxamine and ciprofloxacin was followed by a single dose of lidocaine. Blood samples were collected to determine the pharmacokinetic parameters of lidocaine and its main metabolites monoethylglycinexylidide (MEGX) and 3-hydroxylidocaine (3-OH-lidocaine). Itraconazole and erythromycin had virtually no effect on the pharmacokinetics of intravenous lidocaine, but erythromycin slightly prolonged the elimination half-life (t½) of lidocaine (Study I). When lidocaine was taken orally, both erythromycin and itraconazole increased the peak concentration (Cmax) and the area under the concentration-time curve (AUC) of lidocaine by 40-70% (Study II). Compared with placebo and itraconazole, erythromycin increased the Cmax and the AUC of MEGX by 40-70% when lidocaine was given intravenously or orally (Studies I and II). The pharmacokinetics of inhaled lidocaine was unaffected by concomitant administration of itraconazole (Study III). Fluvoxamine reduced the CL of intravenous lidocaine by 41% and prolonged the t½ of lidocaine by 35%. The mean AUC of lidocaine increased 1.7-fold (Study IV). After oral administration of lidocaine, the mean AUC of lidocaine in-creased 3-fold and the Cmax 2.2-fold by fluvoxamine (Study V). During the pretreatment with fluvoxamine combined with erythromycin, the CL of intravenous lidocaine was 53% smaller than during placebo and 21% smaller than during fluvoxamine alone. The t½ of lidocaine was significantly longer during the combination phase than during the placebo or fluvoxamine phase. The mean AUC of intravenous lidocaine increased 2.3-fold and the Cmax 1.4-fold (Study IV). After oral administration of lidocaine, the mean AUC of lidocaine increased 3.6-fold and the Cmax 2.5-fold by concomitant fluvoxamine and erythromycin. The t½ of oral lidocaine was significantly longer during the combination phase than during the placebo (Study V). When lidocaine was given intravenously, the combination of fluvoxamine and erythromycin prolonged the t½ of MEGX by 59% (Study IV). Compared with placebo, ciprofloxacin increased the mean Cmax and AUC of intravenous lidocaine by 12% and 26%, respectively. The mean plasma CL of lidocaine was reduced by 22% and its t½ prolonged by 7% (Study VI). These studies clarify the principal role of CYP1A2 and suggest only a modest role of CYP3A4 in the elimination of lidocaine in vivo. The inhibition of CYP1A2 by fluvoxamine considerably reduces the elimination of lidocaine. Concomitant use of fluvoxamine and the CYP3A4 inhibitor erythromycin further increases lidocaine concentrations. The clinical implication of this work is that clinicians should be aware of the potentially increased toxicity of lidocaine when used together with inhibitors of CYP1A2 and particularly with the combination of drugs inhibiting both CYP1A2 and CYP3A4 enzymes.

Studies on CYP2C8-mediated drug interactions

Useiden lääkkeiden yhtäaikainen käyttö on nykyään hyvin yleistä, mikä lisää lääkeaineiden haitallisten yhteisvaikutusten riskiä. Lääkeaineiden poistumisessa elimistöstä ovat tärkeässä osassa niitä hajottavat (metaboloivat) maksan sytokromi P450 (CYP) entsyymit. Vasta aivan viime vuosina on havaittu, että CYP2C8-entsyymillä voi olla tärkeä merkitys mm. lääkeaineyhteisvaikutuksissa. Eräät lääkeaineet voivat estää (inhiboida) CYP2C8-entsyymin kautta tapahtuvaa metaboliaa. Tässä työssä selvitettiin CYP2C8-entsyymiä estävien lääkkeiden vaikutusta sellaisten lääkeaineiden pitoisuuksiin, joiden aikaisemman tiedon perusteella arveltiin metaboloituvan CYP2C8-välitteisesti. Näiden lääkeaineiden metaboliaa tutkittiin myös koeputkiolosuhteissa (in vitro -menetelmillä). Lisäksi CYP2C8-entsyymiä estävän lipidilääke gemfibrotsiilin yhteisvaikutusmekanismia tutkittiin selvittämällä interaktion säilymistä koehenkilöillä gemfibrotsiilin annostelun lopettamisen jälkeen. Yhteisvaikutuksia tutkittiin terveillä vapaaehtoisilla koehenkilöillä käyttäen vaihtovuoroista koeasetelmaa. Koehenkilöille annettiin CYP2C8-entsyymiä estävää lääkitystä muutaman päivän ajan ja tämän jälkeen kerta-annos tutkimuslääkettä. Koehenkilöiltä otettiin useita verinäytteitä, joista määritettiin lääkepitoisuudet nestekromatografisilla tai massaspektrometrisillä menetelmillä. Gemfibrotsiili nosti ripulilääke loperamidin pitoisuudet keskimäärin kaksinkertaiseksi. Gemfibrotsiili lisäsi, mutta vain hieman, kipulääke ibuprofeenin pitoisuuksia, eikä sillä ollut mitään vaikutusta unilääke tsopiklonin pitoisuuksiin toisin kuin aiemman kirjallisuuden perusteella oli odotettavissa. Toinen CYP2C8-estäjä, mikrobilääke trimetopriimi, nosti diabeteslääke pioglitatsonin pitoisuuksia keskimäärin noin 40 %. Gemfibrotsiili nosti diabeteslääke repaglinidin pitoisuudet 7-kertaiseksi ja tämä yhteisvaikutus säilyi lähes yhtä voimakkaana vielä 12 tunnin päähän viimeisestä gemfibrotsiiliannoksesta. Tehdyt havainnot ovat käytännön lääkehoidon kannalta merkittäviä ja ne selvittävät CYP2C8-entsyymin merkitystä useiden lääkkeiden metaboliassa. Gemfibrotsiilin tai muiden CYP2C8-entsyymiä estävien lääkkeiden yhteiskäyttö loperamidin kanssa voi lisätä loperamidin tehoa tai haittavaikutuksia. Toisaalta CYP2C8-entsyymin osuus tsopiklonin ja ibuprofeenin metaboliassa näyttää olevan pieni. Trimetopriimi nosti kohtalaisesti pioglitatsonin pitoisuuksia, ja kyseisten lääkkeiden yhteiskäyttö voi lisätä pioglitatsonin annosriippuvaisia haittavaikutuksia. Gemfibrotsiili-repaglinidi-yhteisvaikutuksen päämekanismi in vivo näyttää olevan CYP2C8-entsyymin palautumaton esto. Tämän vuoksi gemfibrotsiilin estovaikutus ja yhteisvaikutusriski säilyvät pitkään gemfibrotsiilin annostelun lopettamisen jälkeen, mikä tulee ottaa huomioon käytettäessä sitä CYP2C8-välitteisesti metaboloituvien lääkkeiden kanssa.

Evaluation of a 7-gene genetic profile for athletic endurance phenotype in Ironman championship triathletes

Polygenic profiling has been proposed for elite endurance performance, using an additive model determining the proportion of optimal alleles in endurance athletes. To investigate this model’s utility for elite triathletes, we genotyped seven polymorphisms previously associated with an endurance polygenic profile (ACE Ins/Del, ACTN3 Arg577Ter, AMPD1 Gln12Ter, CKMM 1170bp/985+185bp, HFE His63Asp, GDF8 Lys153Arg and PPARGC1A Gly482Ser) in a cohort of 196 elite athletes who participated in the 2008 Kona Ironman championship triathlon. Mean performance time (PT) was not significantly different in individual marker analysis. Age, sex, and continent of origin had a significant influence on PT and were adjusted for. Only the AMPD1 endurance-optimal Gln allele was found to be significantly associated with an improvement in PT (model p=5.79 x 10-17, AMPD1 genotype p=0.01). Individual genotypes were combined into a total genotype score (TGS); TGS distribution ranged from 28.6 to 92.9, concordant with prior studies in endurance athletes (mean±SD: 60.75±12.95). TGS distribution was shifted toward higher TGS in the top 10% of athletes, though the mean TGS was not significantly different (p=0.164) and not significantly associated with PT even when adjusted for age, sex, and origin. Receiver operating characteristic curve analysis determined that TGS alone could not significantly predict athlete finishing time with discriminating sensitivity and specificity for three outcomes (less than median PT, less than mean PT, or in the top 10%), though models with the age, sex, continent of origin, and either TGS or AMPD1 genotype could. These results suggest three things: that more sophisticated genetic models may be necessary to accurately predict athlete finishing time in endurance events; that non-genetic factors such as training are hugely influential and should be included in genetic analyses to prevent confounding; and that large collaborations may be necessary to obtain sufficient sample sizes for powerful and complex analyses of endurance performance.

Spectroscopy of tissue triglyceride composition : In vitro and in vivo studies

Lipid analysis is commonly performed by gas chromatography (GC) in laboratory conditions. Spectroscopic techniques, however, are non-destructive and can be implemented noninvasively in vivo. Excess fat (triglycerides) in visceral adipose tissue and liver is known predispose to metabolic abnormalities, collectively known as the metabolic syndrome. Insulin resistance is the likely cause with diets high in saturated fat known to impair insulin sensitivity. Tissue triglyceride composition has been used as marker of dietary intake but it can also be influenced by tissue specific handling of fatty acids. Recent studies have shown that adipocyte insulin sensitivity correlates positively with their saturated fat content, contradicting the common view of dietary effects. A better understanding of factors affecting tissue triglyceride composition is needed to provide further insights into tissue function in lipid metabolism. In this thesis two spectroscopic techniques were developed for in vitro and in vivo analysis of tissue triglyceride composition. In vitro studies (Study I) used infrared spectroscopy (FTIR), a fast and cost effective analytical technique well suited for multivariate analysis. Infrared spectra are characterized by peak overlap leading to poorly resolved absorbances and limited analytical performance. In vivo studies (Studies II, III and IV) used proton magnetic resonance spectroscopy (1H-MRS), an established non-invasive clinical method for measuring metabolites in vivo. 1H-MRS has been limited in its ability to analyze triglyceride composition due to poorly resolved resonances. Using an attenuated total reflection accessory, we were able to obtain pure triglyceride infrared spectra from adipose tissue biopsies. Using multivariate curve resolution (MCR), we were able to resolve the overlapping double bond absorbances of monounsaturated fat and polyunsaturated fat. MCR also resolved the isolated trans double bond and conjugated linoleic acids from an overlapping background absorbance. Using oil phantoms to study the effects of different fatty acid compositions on the echo time behaviour of triglycerides, it was concluded that the use of long echo times improved peak separation with T2 weighting having a negligible impact. It was also discovered that the echo time behaviour of the methyl resonance of omega-3 fats differed from other fats due to characteristic J-coupling. This novel insight could be used to detect omega-3 fats in human adipose tissue in vivo at very long echo times (TE = 470 and 540 ms). A comparison of 1H-MRS of adipose tissue in vivo and GC of adipose tissue biopsies in humans showed that long TE spectra resulted in improved peak fitting and better correlations with GC data. The study also showed that calculation of fatty acid fractions from 1H-MRS data is unreliable and should not be used. Omega-3 fatty acid content derived from long TE in vivo spectra (TE = 540 ms) correlated with total omega-3 fatty acid concentration measured by GC. The long TE protocol used for adipose tissue studies was subsequently extended to the analysis of liver fat composition. Respiratory triggering and long TE resulted in spectra with the olefinic and tissue water resonances resolved. Conversion of the derived unsaturation to double bond content per fatty acid showed that the results were in accordance with previously published gas chromatography data on liver fat composition. In patients with metabolic syndrome, liver fat was found to be more saturated than subcutaneous or visceral adipose tissue. The higher saturation observed in liver fat may be a result of a higher rate of de-novo-lipogenesis in liver than in adipose tissue. This thesis has introduced the first non-invasive method for determining adipose tissue omega-3 fatty acid content in humans in vivo. The methods introduced here have also shown that liver fat is more saturated than adipose tissue fat.

Pharmacokinetic interactions of pioglitazone

Pioglitazone is a thiazolidinedione compound used in the treatment of type 2 diabetes. It has been reported to be metabolised by multiple cytochrome P450 (CYP) enzymes, including CYP2C8, CYP2C9 and CYP3A4 in vitro. The aims of this work were to identify the CYP enzymes mainly responsible for the elimination of pioglitazone in order to evaluate its potential for in vivo drug interactions, and to investigate the effects of CYP2C8- and CYP3A4-inhibiting drugs (gemfibrozil, montelukast, zafirlukast and itraconazole) on the pharmacokinetics of pioglitazone in healthy volunteers. In addition, the effect of induction of CYP enzymes on the pharmacokinetics of pioglitazone in healthy volunteers was investigated, with rifampicin as a model inducer. Finally, the effect of pioglitazone on CYP2C8 and CYP3A enzyme activity was examined in healthy volunteers using repaglinide as a model substrate. Study I was conducted in vitro using pooled human liver microsomes (HLM) and human recombinant CYP isoforms. Studies II to V were randomised, placebo-controlled cross-over studies with 2-4 phases each. A total of 10-12 healthy volunteers participated in each study. Pretreatment with clinically relevant doses with the inhibitor or inducer was followed by a single dose of pioglitazone or repaglinide, whereafter blood and urine samples were collected for the determination of drug concentrations. In vitro, the elimination of pioglitazone (1 µM) by HLM was markedly inhibited, in particular by CYP2C8 inhibitors, but also by CYP3A4 inhibitors. Of the recombinant CYP isoforms, CYP2C8 metabolised pioglitazone markedly, and CYP3A4 also had a significant effect. All of the tested CYP2C8 inhibitors (montelukast, zafirlukast, trimethoprim and gemfibrozil) concentration-dependently inhibited pioglitazone metabolism in HLM. In humans, gemfibrozil raised the area under the plasma concentration-time curve (AUC) of pioglitazone 3.2-fold (P < 0.001) and prolonged its elimination half-life (t½) from 8.3 to 22.7 hours (P < 0.001), but had no significant effect on its peak concentration (Cmax) compared with placebo. Gemfibrozil also increased the excretion of pioglitazone into urine and reduced the ratios of the active metabolites M-IV and M-III to pioglitazone in plasma and urine. Itraconazole had no significant effect on the pharmacokinetics of pioglitazone and did not alter the effect of gemfibrozil on pioglitazone pharmacokinetics. Rifampicin decreased the AUC of pioglitazone by 54% (P < 0.001) and shortened its dominant t½ from 4.9 to 2.3 hours (P < 0.001). No significant effect on Cmax was observed. Rifampicin also decreased the AUC of the metabolites M-IV and M-III, shortened their t½ and increased the ratios of the metabolite to pioglitazone in plasma and urine. Montelukast and zafirlukast did not affect the pharmacokinetics of pioglitazone. The pharmacokinetics of repaglinide remained unaffected by pioglitazone. These studies demonstrate the principal role of CYP2C8 in the metabolism of pioglitazone in humans. Gemfibrozil, an inhibitor of CYP2C8, increases and rifampicin, an inducer of CYP2C8 and other CYP enzymes, decreases the plasma concentrations of pioglitazone, which can necessitate blood glucose monitoring and adjustment of pioglitazone dosage. Montelukast and zafirlukast had no effects on the pharmacokinetics of pioglitazone, indicating that their inhibitory effect on CYP2C8 is negligible in vivo. Pioglitazone did not increase the plasma concentrations of repaglinide, indicating that its inhibitory effect on CYP2C8 and CYP3A4 is very weak in vivo.

Inflammatory and coagulation disturbances in acute pancreatitis

Acute pancreatitis (AP), a common cause of acute abdominal pain, is usually a mild, self-limited disease. However, some 20-30% of patients develop a severe disease manifested by pancreatic necrosis, abscesses or pseudocysts, and/or extrapancreatic complications, such as vital organ failure (OF). Patients with AP develop systemic inflammation, which is considered to play a role in the pathogenesis of multiple organ failure (MOF). OF mimics the condition seen in patients with sepsis, which is characterized by an overwhelming production of inflammatory mediators, activation of the complement system and systemic activation of coagulation, as well as the development of disseminated intravascular coagulation (DIC) syndrome. Vital OF is the major cause of mortality in AP, along with infectious complications. About half of the deaths occur within the first week of hospitalization and thus, early identification of patients likely to develop OF is important. The aim of the present study was to investigate inflammatory and coagulation disturbances in AP and to find inflammatory and coagulation markers for predicting severe AP, and development of OF and fatal outcome. This clinical study consists of four parts. All of patients studied had AP when admitted to Helsinki University Central Hospital. In the first study, 31 patients with severe AP were investigated. Their plasma levels of protein C (PC) and activated protein C (APC), and monocyte HLA-DR expression were studied during the treatment period in the intensive care unit; 13 of these patients developed OF. In the second study, the serum levels of complement regulator protein CD59 were studied in 39 patients during the first week of hospitalization; 12 of them developed OF. In the third study, 165 patients were investigated; their plasma levels of soluble form of the receptor for advanced glycation end products (sRAGE) and high mobility group box 1 (HMGB1) protein were studied during the first 12 days of hos-pitalization; 38 developed OF. In the fourth study, 33 patients were studied on admission to hospital for plasma levels of prothrombin fragment F1+2 and tissue factor pathway inhibitor (TFPI), and thrombin formation capacity by calibrated automated thrombogram (CAT); 9 of them developed OF. Our results showed significant PC deficiency and decreased APC generation in patients with severe AP. The PC pathway defects seemed to be associated with the development of OF. In patients who developed OF, the levels of serum CD59 and plasma sRAGE, but not of HMGB1, were significantly higher than in patients who recovered without OF. The high CD59 levels on admission to the hospital seemed to be predictive for severe AP and OF. The median of the highest sRAGE levels was significantly higher in non-survivors than in survivors. No significant difference between the patient groups was found in the F1+2 levels. The thrombograms of all patients were disturbed in their shape, and in 11 patients the exogenous tissue factor did not trigger thrombin generation at all ( flat curve ). All of the patients that died displayed a flat curve. Free TFPI levels and free/total TFPI ratios were significantly higher in patients with a flat curve than in the others, and these levels were also significantly higher in non-survivors than in survivors. The flat curve in combination with free TFPI seemed to be predictive for a fatal outcome in AP.

Prediction of individual genetic risk to prostate cancer using a polygenic score

BACKGROUND Polygenic risk scores comprising established susceptibility variants have shown to be informative classifiers for several complex diseases including prostate cancer. For prostate cancer it is unknown if inclusion of genetic markers that have so far not been associated with prostate cancer risk at a genome-wide significant level will improve disease prediction. METHODS We built polygenic risk scores in a large training set comprising over 25,000 individuals. Initially 65 established prostate cancer susceptibility variants were selected. After LD pruning additional variants were prioritized based on their association with prostate cancer. Six-fold cross validation was performed to assess genetic risk scores and optimize the number of additional variants to be included. The final model was evaluated in an independent study population including 1,370 cases and 1,239 controls. RESULTS The polygenic risk score with 65 established susceptibility variants provided an area under the curve (AUC) of 0.67. Adding an additional 68 novel variants significantly increased the AUC to 0.68 (P = 0.0012) and the net reclassification index with 0.21 (P = 8.5E-08). All novel variants were located in genomic regions established as associated with prostate cancer risk. CONCLUSIONS Inclusion of additional genetic variants from established prostate cancer susceptibility regions improves disease prediction. Prostate 75:1467–1474, 2015. © 2015 Wiley Periodicals, Inc.