A Disease Progression Model to Quantify the Nonmotor Symptoms of Parkinson's Disease in Participants With Leucine-Rich Repeat Kinase 2 Mutation.

Leucine-rich repeat kinase 2 (LRRK2) inhibitors are currently in clinical development as interventions to slow progression of Parkinson's disease (PD). Understanding the rate of progression in PD as measured by both motor and nonmotor features is particularly important in assessing the potential therapeutic effect of LRRK2 inhibitors in clinical development. Using standardized data from the Critical Path for Parkinson's Unified Clinical Database, we quantified the rate of progression of the Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS) Part I (nonmotor aspects of experiences of daily living) in 158 participants with PD who were carriers and 598 participants with PD who were noncarriers of at least one of three different LRRK2 gene mutations (G2019S, R1441C/G, or R1628P). Age and disease duration were found to predict baseline disease severity, while presence of at least one of these three LRRK2 mutations was a predictor of the rate of MDS-UPDRS Part I progression. The estimated progression rate in MDS-UPDRS Part I was 0.648 (95% confidence interval: 0.544, 0.739) points per year in noncarriers of a LRRK2 mutation and 0.259 (95% confidence interval: 0.217, 0.295) points per year in carriers of a LRRK2 mutation. This analysis demonstrates that the rate of progression based on MDS-UPDRS Part I is ~ 60% lower in carriers as compared with noncarriers of LRRK2 gene mutations.

Performance of epistasis detection methods in semi-simulated GWAS.

BACKGROUND: Part of the missing heritability in Genome Wide Association Studies (GWAS) is expected to be explained by interactions between genetic variants, also called epistasis. Various statistical methods have been developed to detect epistasis in case-control GWAS. These methods face major statistical challenges due to the number of tests required, the complexity of the Linkage Disequilibrium (LD) structure, and the lack of consensus regarding the definition of epistasis. Their limited impact in terms of uncovering new biological knowledge might be explained in part by the limited amount of experimental data available to validate their statistical performances in a realistic GWAS context. In this paper, we introduce a simulation pipeline for generating real scale GWAS data, including epistasis and realistic LD structure. We evaluate five exhaustive bivariate interaction methods, fastepi, GBOOST, SHEsisEpi, DSS, and IndOR. Two hundred thirty four different disease scenarios are considered in extensive simulations. We report the performances of each method in terms of false positive rate control, power, area under the ROC curve (AUC), and computation time using a GPU. Finally we compare the result of each methods on a real GWAS of type 2 diabetes from the Welcome Trust Case Control Consortium. RESULTS: GBOOST, SHEsisEpi and DSS allow a satisfactory control of the false positive rate. fastepi and IndOR present an increase in false positive rate in presence of LD between causal SNPs, with our definition of epistasis. DSS performs best in terms of power and AUC in most scenarios with no or weak LD between causal SNPs. All methods can exhaustively analyze a GWAS with 6.105 SNPs and 15,000 samples in a couple of hours using a GPU. CONCLUSION: This study confirms that computation time is no longer a limiting factor for performing an exhaustive search of epistasis in large GWAS. For this task, using DSS on SNP pairs with limited LD seems to be a good strategy to achieve the best statistical performance. A combination approach using both DSS and GBOOST is supported by the simulation results and the analysis of the WTCCC dataset demonstrated that this approach can detect distinct genes in epistasis. Finally, weak epistasis between common variants will be detectable with existing methods when GWAS of a few tens of thousands cases and controls are available.

Evaluation of efficacy and safety markers in a phase II study of metastatic colorectal cancer treated with aflibercept in the first-line setting.

BACKGROUND: Aflibercept (ziv-aflibercept) is an anti-angiogenic agent recently approved in combination with FOLFIRI for the treatment of metastatic colorectal cancer (mCRC) patients previously treated with oxaliplatin. Despite heterogeneity in response to aflibercept, no biomarkers for efficacy or adverse effects have been identified. Here we present biomarker data from the randomised phase II AFFIRM trial assessing aflibercept in combination with mFOLFOX6 first line in mCRC. METHODS: Ninety-six somatic mutations in key oncogenic drivers of mCRC and 133 common single-nucleotide polymorphisms (SNPs) in vascular endothelial growth factor (VEGF) pathway genes were analysed, and 27 plasma markers measured at baseline, during and after treatment. We assessed correlations of these three classes of biomarkers with progression-free survival (PFS) and adverse events (AEs). RESULTS: Somatic mutations identified in KRAS, BRAF, NRAS, PIK3CA and PIK3R1 did not significantly correlate with PFS (multiple testing-adjusted false discovery rate (FDR) or multiple testing-adjusted FDR>0.3). None of the individual SNPs correlated with PFS (multiple testing-adjusted FDR>0.22), but at the gene level variability in VEGFB significantly correlated with PFS (multiple testing-adjusted FDR=0.0423). Although none of the plasma markers measured at baseline significantly correlated with PFS, high levels of circulating IL8 at baseline together with increased levels of IL8 during treatment were significantly associated with reduced PFS (multiple testing-adjusted FDR=0.0478). No association was found between biomarkers and AEs. CONCLUSIONS: This represents the first biomarker study in mCRC treated with aflibercept. High IL8 plasma levels at baseline and subsequent increases in IL8 were associated with worse PFS, suggesting that IL8 may act as a potentially predictive biomarker of aflibercept treatment outcome.

Stringent rosiglitazone-dependent gene switch in muscle cells without effect on myogenic differentiation.

We have developed a gene switch based on the human transcription factor peroxisome proliferator-activated receptor gamma (PPARgamma) and its activation by rosiglitazone. However, ectopic expression of PPARgamma has been demonstrated to convert myogenic cells into adipocyte-like cells and, more generally, may interfere with the physiology of the target tissue. Consequently we modified the DNA-binding specificity of PPARgamma, resulting in a transcription factor that we named PPAR*. We demonstrated by histological and molecular assessment of cell phenotype that the overexpression of PPAR* did not alter the myogenic differentiation program of G8 myoblasts. We showed that PPAR* does not transactivate promoters containing PPARgamma-responsive elements but transactivates promoters containing PPAR*-responsive elements that are at least 80% identical to a 20-bp consensus. We improved the rosiglitazone-dependent gene switch by tuning PPAR* expression with a scaffold/matrix attachment region and by expressing both PPAR* and the reporter gene under the control of PPAR*-responsive elements. Treatment of cultured murine muscle cells (myotubes) with rosiglitazone induced reporter gene expression from assay background up to the level attained by a CMV I/E promoter-enhancer. These results indicate the potential of the PPAR* gene switch for use in gene therapy applications.

Gene transfer of a chimeric trans-activator is immunogenic and results in short-lived transgene expression.

Pharmacologic gene regulation is a key technology, necessary to achieve safe, long-term gene transfer. The approaches described in the scientific literature all share in common the creation of artificial transcription factors by fusing a DNA-binding domain, a drug-binding domain and a transcription activation domain. These transcription factors activate the transgene expression upon binding of the pharmacologic agent (antibiotics of the tetracycline family, insect hormone, progesterone antagonist, or immunosuppressor drug) to the drug-binding domain. The major limitations to the use of these systems for human gene and cell therapies are the toxicity of the inducer molecule and the immunogenicity of the chimeric transcription factor. Thus, the gene regulation systems should operate with clinically approved drugs with safety records that do not conflict with the therapeutic gene expression regimen. This work focuses on the characterization of the immunogenicity of a tetracycline-activated transcription factor commonly used in preclinical gene therapy, rtTA2-M2, and its impact on reporter gene expression. We demonstrate that intramuscular injection of plasmid or adenoviral vectors encoding rtTA-M2 in outbred primates generates a cellular and humoral immune response to this transcription factor. The immune response to rtTA2-M2 blunts the duration of the expression the rtTA2-M2-controlled transgene in primates, presumably by destruction of the cells that coexpress rtTA2-M2 and the reporter or therapeutic gene. This immune response may result directly from the vectors used in this study, which prompts the development of new gene transfer vectors enabling safe and efficient pharmacologic gene regulation in clinic.

Efficient gene regulation by PPAR gamma and thiazolidinediones in skeletal muscle and heart.

We have developed a new gene regulation system for gene therapy. This system consists of two expression cassettes; one expresses the human peroxisome proliferator-activated receptor gamma(PPAR gamma), and the other expresses the therapeutic gene under the control of multiple peroxisome proliferator-activated receptor (PPAR) response elements (PPREs) linked to a basal promoter. Using direct injection of plasmid DNA into skeletal muscle or myocardium of rodents and oral administration of clinically approved PPAR gamma activators, we demonstrate that reporter gene expression can be induced more than 25-fold. We show that oral administration of PPAR gamma activator at intervals separated by several months results in repeated pulses of high-level reporter gene expression. We also document a PPAR gamma activator dose-response effect on reporter gene expression. This is the first report of a gene regulation system that makes use of a human transcription factor and that may be safer than chimeric transcription factors for human gene therapy.