Background incidence of liver chemistry abnormalities in pediatric clinical trials for conditions with and without underlying liver disease.

BACKGROUND: The FDA provides guidance regarding pre-marketing liver chemistry subject stopping criteria. This study was undertaken to determine the background rates of liver chemistry abnormalities in pediatric clinical trials for conditions with and without underlying liver disease (LD). METHODS: The study included 5410 subjects aged 0-18years in 24 trials for conditions without LD. 3756 pediatric subjects in 14 trials for conditions with LD (malaria, HIV, HBV) were also analyzed. Prevalence and incidence of abnormal liver chemistries were calculated. RESULTS: In conditions without LD, the overall incidence were 0.54 (95%CI 0.20-1.17) per 1000 person-months for ALT⩾3xULN, 0.36 (95%CI 0.10-0.92) for ALT⩾5xULN, and 0.27 (95%CI 0.06-0.78) for ALT⩾8xULN, 1.03 (95%CI 0.50-1.90) for ALP⩾2xULN, and 0.22 (95%CI 0.03-0.78) for combined ALT⩾3xULN and TBIL⩾2xULN. Incidence of ALT⩾3xULN (8.17 95%CI 6.42-10.24) were much higher in trials of conditions with LD. However, combined elevations of ALT⩾3xULN and TBIL⩾2xULN were only marginally higher 0.37 (95%CI 0.10-1.08). CONCLUSION: Elevations of ALT (3xULN) and TBIL (2xULN) are rare in pediatric trial populations for conditions without underlying liver disease and can be considered a safety signal. For trials in conditions with liver disease, the potential for drug-induced liver injury must be distinguished from underlying disease progression.

PLA2G7 genotype, lipoprotein-associated phospholipase A2 activity, and coronary heart disease risk in 10 494 cases and 15 624 controls of European Ancestry.

BACKGROUND: Higher lipoprotein-associated phospholipase A(2)(Lp-PLA2) activity is associated with increased risk of coronary heart disease (CHD), making Lp-PLA2 a potential therapeutic target. PLA2G7 variants associated with Lp-PLA2 activity could evaluate whether this relationship is causal. METHODS AND RESULTS: A meta-analysis including a total of 12 studies (5 prospective, 4 case-control, 1 case-only, and 2 cross-sectional studies; n=26 118) was undertaken to examine the association of the following: (1) Lp-PLA2 activity versus cardiovascular biomarkers and risk factors and CHD events (2 prospective studies; n=4884); (2) PLA2G7 single-nucleotide polymorphisms and Lp-PLA2 activity (3 prospective, 2 case-control, 2 cross-sectional studies; up to n=6094); and (3) PLA2G7 single-nucleotide polymorphisms and angiographic coronary artery disease (2 case-control, 1 case-only study; n=4971 cases) and CHD events (5 prospective, 2 case-control studies; n=5523). Lp-PLA2 activity correlated with several CHD risk markers. Hazard ratios for CHD events for the top versus bottom quartile of Lp-PLA2 activity were 1.61 (95% confidence interval, 1.31 to 1.99) and 1.17 (95% confidence interval, 0.91 to 1.51) after adjustment for baseline traits. Of 7 single-nucleotide polymorphisms, rs1051931 (A379V) showed the strongest association with Lp-PLA2 activity, with VV subjects having 7.2% higher activity than AAs. Genotype was not associated with risk markers, angiographic coronary disease (odds ratio, 1.03; 95% confidence interval, 0.80 to 1.32), or CHD events (odds ratio, 0.98; 95% confidence interval, 0.82 to 1.17). CONCLUSIONS: Unlike Lp-PLA2 activity, PLA2G7 variants associated with modest effects on Lp-PLA2 activity were not associated with cardiovascular risk markers, coronary atheroma, or CHD. Larger association studies, identification of single-nucleotide polymorphisms with larger effects, or randomized trials of specific Lp-PLA2 inhibitors are needed to confirm or refute a contributory role for Lp-PLA2 in CHD.

The Population Reference Sample, POPRES: a resource for population, disease, and pharmacological genetics research.

Technological and scientific advances, stemming in large part from the Human Genome and HapMap projects, have made large-scale, genome-wide investigations feasible and cost effective. These advances have the potential to dramatically impact drug discovery and development by identifying genetic factors that contribute to variation in disease risk as well as drug pharmacokinetics, treatment efficacy, and adverse drug reactions. In spite of the technological advancements, successful application in biomedical research would be limited without access to suitable sample collections. To facilitate exploratory genetics research, we have assembled a DNA resource from a large number of subjects participating in multiple studies throughout the world. This growing resource was initially genotyped with a commercially available genome-wide 500,000 single-nucleotide polymorphism panel. This project includes nearly 6,000 subjects of African-American, East Asian, South Asian, Mexican, and European origin. Seven informative axes of variation identified via principal-component analysis (PCA) of these data confirm the overall integrity of the data and highlight important features of the genetic structure of diverse populations. The potential value of such extensively genotyped collections is illustrated by selection of genetically matched population controls in a genome-wide analysis of abacavir-associated hypersensitivity reaction. We find that matching based on country of origin, identity-by-state distance, and multidimensional PCA do similarly well to control the type I error rate. The genotype and demographic data from this reference sample are freely available through the NCBI database of Genotypes and Phenotypes (dbGaP).

The CoLaus study: a population-based study to investigate the epidemiology and genetic determinants of cardiovascular risk factors and metabolic syndrome.

BACKGROUND: Cardiovascular diseases and their associated risk factors remain the main cause of mortality in western societies. In order to assess the prevalence of cardiovascular risk factors (CVRFs) in the Caucasian population of Lausanne, Switzerland, we conducted a population-based study (Colaus Study). A secondary aim of the CoLaus study will be to determine new genetic determinants associated with CVRFs. METHODS: Single-center, cross-sectional study including a random sample of 6,188 extensively phenotyped Caucasian subjects (3,251 women and 2,937 men) aged 35 to 75 years living in Lausanne, and genotyped using the 500 K Affymetrix chip technology. RESULTS: Obesity (body mass index > or = 30 kg/m2), smoking, hypertension (blood pressure > or = 140/90 mmHg and/or treatment), dyslipidemia (high LDL-cholesterol and/or low HDL-cholesterol and/or high triglyceride levels) and diabetes (fasting plasma glucose > or = 7 mmol/l and/or treatment) were present in 947 (15.7%), 1673 (27.0%), 2268 (36.7%), 2113 (34.2%) and 407 (6.6%) of the participants, respectively, and the prevalence was higher in men than in women. In both genders, the prevalence of obesity, hypertension and diabetes increased with age. CONCLUSION: The prevalence of major CVRFs is high in the Lausanne population in particular in men. We anticipate that given its size, the depth of the phenotypic analysis and the availability of dense genome-wide genetic data, the CoLaus Study will be a unique resource to investigate not only the epidemiology of isolated, or aggregated CVRFs like the metabolic syndrome, but can also serve as a discovery set, as well as replication set, to identify novel genes associated with these conditions.

Background incidence of liver chemistry abnormalities in a clinical trial population without underlying liver disease.

BACKGROUND: The FDA has recently proposed pre-marketing liver chemistry subject stopping criteria. The study was undertaken to determine the background rates of liver chemistry abnormalities in clinical trial populations without underlying liver disease. METHODS: Data from 28 Phase II-IV trials in diseases with normal risk of underlying liver abnormalities were included. Information on 18,672 subjects, mean age of 44.3 years and 92.3% female was available. Prevalence and incidence of abnormal liver chemistries were calculated. RESULTS: At baseline, the overall prevalence of alanine aminotransferase (ALT) elevations of 3 x ULN (upper limit of normal) and 5 x ULN was 0.08% and 0.01%, respectively. The prevalence of liver chemistry abnormalities was similar at study entry and exit. Overall, elevated liver chemistry incidence rates per 10,000 person months were 6.5 (95% CI 4.8; 8.5) for ALT 3 x ULN, 2.6 (1.6; 4.0) for ALT 5 x ULN, 0.3 (0.03; 0.9) for ALT 8 x ULN, 0.09 (0.04; 0.2) for alkaline phosphatase (ALP) 2 x ULN, and 0 for combined ALT+bilirubin elevation. CONCLUSION: Elevations of ALT (3 x ULN) and ALP (2 x ULN) are rare in clinical trial populations without underlying liver disease and can be considered a safety signal. No events of ALT 3 x ULN with concomitant bilirubin 1.5 x ULN were noted. These analyses create a liver chemistry evidence base in normal risk clinical trial populations.

Clinical and genetic factors associated with lipoprotein-associated phospholipase A2 in the Framingham Heart Study.

OBJECTIVE: To conduct an investigation of clinical and genetic correlates of lipoprotein-associated phospholipase (Lp-PLA(2)) activity and mass in a large community-based cohort. Higher circulating Lp-PLA(2) predicts cardiovascular disease risk, but sources of inter-individual variability are incompletely understood. METHODS: We conducted stepwise regression of clinical correlates of Lp-PLA(2) in four Framingham Heart Study cohorts (n=8185; mean age 50+/-14 years, 53.8% women, 9.8% ethnic/racial minority cohort). We also conducted heritability and linkage analyses in Offspring and Generation 3 cohorts (n=6945). In Offspring cohort participants we performed association analyses (n=1535 unrelated) with 1943 common tagging SNPs in 233 inflammatory candidate genes. RESULTS: Sixteen clinical variables explained 57% of the variability in Lp-PLA(2) activity; covariates associated with Lp-PLA(2) mass were similar but only explained 27% of the variability. Multivariable-adjusted heritability estimates for Lp-PLA(2) activity and mass were 41% and 25%, respectively. A linkage peak was observed for Lp-PLA(2) activity (chromosome 6, LOD score 2.4). None of the SNPs achieved experiment-wide statistical significance, though 12 had q values <0.50, and hence we expect at least 50% of these associations to be true positives. The strongest multivariable-association with Lp-PLA(2) activity was found for MEF2A (rs2033547; nominal p=3.20 x 10(-4)); SNP rs1051931 in PLA2G7 was nominally associated (p=1.26 x 10(-3)). The most significant association to Lp-PLA(2) mass was in VEGFC (rs10520358, p=9.14 x 10(-4)). CONCLUSIONS: Cardiovascular risk factors and genetic variation contribute to variability in Lp-PLA(2) activity and mass. Our genetic association analyses need replication, which will be facilitated by web posting of our genetic association results.

Genome-wide linkage and association analyses to identify genes influencing adiponectin levels: the GEMS Study.

Adiponectin has a variety of metabolic effects on obesity, insulin sensitivity, and atherosclerosis. To identify genes influencing variation in plasma adiponectin levels, we performed genome-wide linkage and association scans of adiponectin in two cohorts of subjects recruited in the Genetic Epidemiology of Metabolic Syndrome Study. The genome-wide linkage scan was conducted in families of Turkish and southern European (TSE, n = 789) and Northern and Western European (NWE, N = 2,280) origin. A whole genome association (WGA) analysis (500K Affymetrix platform) was carried out in a set of unrelated NWE subjects consisting of approximately 1,000 subjects with dyslipidemia and 1,000 overweight subjects with normal lipids. Peak evidence for linkage occurred at chromosome 8p23 in NWE subjects (lod = 3.10) and at chromosome 3q28 near ADIPOQ, the adiponectin structural gene, in TSE subjects (lod = 1.70). In the WGA analysis, the single-nucleotide polymorphisms (SNPs) most strongly associated with adiponectin were rs3774261 and rs6773957 (P < 10(-7)). These two SNPs were in high linkage disequilibrium (r(2) = 0.98) and located within ADIPOQ. Interestingly, our fourth strongest region of association (P < 2 x 10(-5)) was to an SNP within CDH13, whose protein product is a newly identified receptor for high-molecular-weight species of adiponectin. Through WGA analysis, we confirmed previous studies showing SNPs within ADIPOQ to be strongly associated with variation in adiponectin levels and further observed these to have the strongest effects on adiponectin levels throughout the genome. We additionally identified a second gene (CDH13) possibly influencing variation in adiponectin levels. The impact of these SNPs on health and disease has yet to be determined.

Rates and determinants of virologic and immunological response to HAART resumption after treatment interruption in HIV-1 clinical practice.

OBJECTIVE: To describe CD4 and HIV RNA changes during treatment resumption (TR) after treatment interruption (TI) compared with response to first highly active antiretroviral therapy (HAART) and to investigate predictors. METHODS: Using Concerted Action on SeroConversion to AIDS and Death in Europe (CASCADE) data, we identified subjects who interrupted first HAART, not initiated during primary infection. We estimated rate of CD4 change during TR and time from TR to HIV RNA<500 copies per milliliter and subsequent rebound and factors associated with these outcomes. RESULTS: Of 281 persons treated for median 18.4 months before interrupting, 259 resumed HAART. CD4 increases in the first 3 months on HAART were similar pre-TI and post-TI but after 3 months were significantly higher during pre-TI HAART, with median +106 and +172 cells per microliter at 3 and 18 months, respectively, during initial HAART compared with +99 and +142 cells per microliter during post-TI HAART, respectively. Subjects with lower CD4 counts at TI, aged older than 40 years, and those resuming the same HAART as their pre-TI regimen had lower CD4 increases during the first 3 months of TR. The majority (86%) of individuals reinitiating therapy achieved HIV RNA<500 copies per milliliter. CONCLUSIONS: Immune reconstitution after TI is generally poorer than after first HAART, particularly for patients aged older than 40 years at TI and those with poorer immunological responses to pre-TI HAART. Reinitiation of the same HAART regimen as pre-TI also seems to have unfavorable outcomes.

Monitoring liver safety in drug development: the GSK experience.

To promptly identify and evaluate liver safety events, an evidence-based liver safety system was created for global Phase I-III clinical trials. The goals of this system included improving clinical trial subject safety, expanding information on liver safety events, and improving data quality across studies by establishing and communicating: Two different algorithms for liver stopping criteria were developed. The most stringent criteria were selected for healthy volunteers in Phase I studies, where no treatment benefit is anticipated and clinical safety data are limited. With an interest in assessing potential liver "tolerance" or adaptation with accruing safety information, slightly higher liver chemistry thresholds were set for Phase II-III studies. This paper will describe the importance of liver safety in drug development, laboratory tests used to monitor liver safety, the rationale for selected liver chemistry subject stopping criteria, and implementation of this safety system.

Highly active antiretroviral therapy interruption: predictors and virological and immunologic consequences.

OBJECTIVE: To characterize the magnitude and the predictors of highly active antiretroviral therapy (HAART) interruption (TI) and to investigate its immunologic and virological consequences. METHODS: Using Concerted Action on Seroconversion to AIDS and Death in Europe data from 8,300 persons with well-documented seroconversion dates, we identified subjects with stable first HAART (for at least 90 days) not initiated during primary infection. A TI was defined as an interruption of all antiretroviral therapy drugs for at least 14 days. RESULTS: Of 1,551 subjects starting HAART, 299 (19.3%) interrupted treatment. Median (interquartile range) duration of the TI was 189 (101-382) days. The cumulative probability (95% confidence interval) of TI at 2 years was 15.9% (14.0%-18.1%). Women were more likely to have a TI than men in the same exposure group (35.8% vs 24.2% among drug users, 22.1% vs 13.3% among heterosexuals; P < 0.05). Higher baseline viremia and poor immunologic response to HAART were associated with higher probabilities of TI. Median (interquartile range) individual CD4 cell loss during TI was 94 (1-220) cells/microL. Older age at HAART (>40 yr), lower pre-HAART nadir (<200 cells/microL), and lower CD4 at start of TI (<350 cells/microL) were significantly associated with greater relative CD4 loss during TI. CONCLUSIONS: We estimate that almost 1 in 6 subjects on HAART interrupts treatment by 2 years. Further research is needed to investigate the reasons why TI is higher in women. We have identified characteristics of subjects with the greatest risk for CD4 loss in whom TI may have greater risks.