The TOMMORROW study: Design of an Alzheimer's disease delay-of-onset clinical trial

Introduction

Alzheimer's disease (AD) is a continuum with neuropathologies manifesting years before clinical symptoms; thus, AD research is attempting to identify more disease-modifying approaches to test treatments administered before full disease expression. Designing such trials in cognitively normal elderly individuals poses unique challenges.

Methods

The TOMMORROW study was a phase 3 double-blind, parallel-group study designed to support qualification of a novel genetic biomarker risk assignment algorithm (BRAA) and to assess efficacy and safety of low-dose pioglitazone to delay onset of mild cognitive impairment due to AD. Eligible participants were stratified based on the BRAA (using TOMM40 rs 10524523 genotype, Apolipoprotein E genotype, and age), with high-risk individuals receiving low-dose pioglitazone or placebo and low-risk individuals receiving placebo. The primary endpoint was time to the event of mild cognitive impairment due to AD. The primary objectives were to compare the primary endpoint between high- and low-risk placebo groups (for BRAA qualification) and between high-risk pioglitazone and high-risk placebo groups (for pioglitazone efficacy). Approximately 300 individuals were also asked to participate in a volumetric magnetic resonance imaging substudy at selected sites.

Results

The focus of this paper is on the design of the study; study results will be presented in a separate paper.

Discussion

The design of the TOMMORROW study addressed many key challenges to conducting a dual-objective phase 3 pivotal AD clinical trial in presymptomatic individuals. Experiences from planning and executing the TOMMORROW study may benefit future AD prevention/delay-of-onset trials.

The effect of CYP2C19 gene polymorphisms on the pharmacokinetics and pharmacodynamics of prasugrel 5-mg, prasugrel 10-mg and clopidogrel 75-mg in patients with coronary artery disease

CYP2C19 genotype has been shown to impact response to clopidogrel 75-mg but not prasugrel 10-mg. Here, we assessed effects of CYP2C19 metaboliser status on pharmacokinetics (PK) and pharmacodynamic (PD) responses to prasugrel 5-mg and 10-mg and clopidogrel 75-mg using data from two PK/PD studies in stable coronary artery disease (CAD) patients (GENERATIONS and FEATHER). Active metabolite concentrations (area under the curve, AUC[0-tlast]), maximum platelet aggregation (MPA) measured by light transmission aggregometry, vasodilator- stimulated phosphoprotein platelet reactivity index, and VerifyNow P2Y12-platelet reaction units (VN-PRU) were analysed by CYP2C19-predicted phenotype (extensive metaboliser [EM; N=154], *2-*8 non-carriers, vs reduced metaboliser [RM; N=41],*2-*8 carriers/* 17 non-carriers). AUC(0-tlast) was unaffected by metaboliser status for prasugrel 5-mg and 10-mg (geometric mean EM/RM ratios 1.00, 95% confidence interval [CI]: 0.86,1.17, p>0.99; and 0.97, 95% CI:0.85,1.12, p=0.71, respectively), but was lower among RMs receiving clopidogrel 75-mg (1.37, 95% CI:1.14,1.65, p<0.001). Platelet reactivity was not significantly affected by CYP2C19 metaboliser status for prasugrel 5-mg, or for prasugrel 10-mg by MPA and VNPRU, but for clopidogrel 75-mg was significantly higher in reduced metabolisers (all measures p<0.01). Prasugrel 10-mg showed greater antiplatelet effects vs clopidogrel 75-mg (all comparisons p<0.001). Prasugrel 5-mg showed greater antiplatelet effects vs clopidogrel 75-mg in RMs (all p<0.001), and comparable effects in EMs (all p≥0.37). In contrast to clopidogrel, prasugrel active metabolite PK was not influenced by CYP2C19 genotype. Antiplatelet effect for prasugrel 10-mg was greater irrespective of metaboliser status and for prasugrel 5-mg was greater for RMs and comparable for EMs as compared to clopidogrel 75-mg.

Understanding the genetics of APOE and TOMM40 and role of mitochondrial structure and function in clinical pharmacology of Alzheimer's disease

The methodology of Genome-Wide Association Screening (GWAS) has been applied for more than a decade. Translation to clinical utility has been limited, especially in Alzheimer's Disease (AD). It has become standard practice in the analyses of more than two dozen AD GWAS studies to exclude the apolipoprotein E (APOE) region because of its extraordinary statistical support, unique thus far in complex human diseases. New genes associated with AD are proposed frequently based on SNPs associated with odds ratio (OR) < 1.2. Most of these SNPs are not located within the associated gene exons or introns but are located variable distances away. Often pathologic hypotheses for these genes are presented, with little or no experimental support. By eliminating the analyses of the APOE-TOMM40 linkage disequilibrium region, the relationship and data of several genes that are co-located in that LD region have been largely ignored. Early negative interpretations limited the interest of understanding the genetic data derived from GWAS, particularly regarding the TOMM40 gene. This commentary describes the history and problem(s) in interpretation of the genetic interrogation of the "APOE" region and provides insight into a metabolic mitochondrial basis for the etiology of AD using both APOE and TOMM40 genetics.

Structural variants can be more informative for disease diagnostics, prognostics and translation than current SNP mapping and exon sequencing

INTRODUCTION

In this article we discuss several human neurological diseases and their relationship to specific highly polymorphic small structural variants (SVs). Unlike genome-wide association analysis (GWAS), this methodology is not a genome screen to define new possibly associated genes, requiring statistical corrections for a million association tests. SVs provide local mapping information at a specific locus. Used with phylogenetic analysis, the specific association of length variants can be mapped and recognized.

AREAS COVERED

This experimental strategy provides identification of DNA variants, particularly variable length Simple Sequence Repeats (SSRs or STRs or microsatellites) that provide specific local association data at the SV locus. Phylogenetic analysis that includes the specific appearance of different length SV variations can differentiate specific phenotypic risks in a population such as age of onset related to variable length polymorphisms and risk of phenotypic variations associated with several adjacent structural variations (SVs). We focus on data for three recent examples associated with Alzheimer's disease, Levy Bodies, and Parkinson's disease.

EXPERT OPINION

SVs are understudied, but have led directly to mechanism of pathogenesis studies involving the regulation of gene expression. The identification of specific length polymorphisms associated with clinical disease has led to translational advances and new drug discovery.

The Genetics of Generalized Osteoarthritis (GOGO) study: study design and evaluation of osteoarthritis phenotypes

PURPOSE

The primary goal of the Genetics of Generalized Osteoarthritis (GOGO) study is to identify chromosomal regions associated with increased susceptibility to generalized osteoarthritis (OA). Here we describe the study design and phenotype of the 2728 participants from the 1145 families recruited for this study.

METHODS

GOGO is an investigator-initiated collaboration involving seven clinical academic sites and sponsored by GlaxoSmithKline. Family ascertainment was carried out between 1999 and 2002. A qualifying family required self-reported Caucasian ethnicity and at least two affected siblings with clinical hand OA. We hypothesized that this clinical phenotype would facilitate identification of participants with multijoint radiographic OA (rOA) in and beyond the hand. The "gold standard" case definition, however, was based on rOA (Kellgren-Lawrence grade > or =2) involving > or =3 hand joints distributed bilaterally and including at least one distal interphalangeal joint, with two of the three involved joints within a joint group (distal interphalangeal, proximal interphalangeal, or carpometacarpal). Radiographs of hips, knees and spine were also obtained. Additional siblings and living parents from qualifying families, both affected and unaffected, were invited to participate.

RESULTS

A total of 2706 participants had complete clinical and radiological examination data. Of these, 2569 participants met clinical examination criteria for affected status; while 1963 (73%) participants met the prespecified radiographic criteria for affected status. This corresponded to a total of 707 families with at least two affected siblings that met the hand rOA criteria. Of those individuals with rOA of the hand, the frequency of rOA at other sites was highest for the knee (51%) and spine (54%), and less common for the hip (25%). Concordance rates among hand affected siblings were greatest for spine (36%) followed by knee (31%) and hip (9%); a total of 53% of the affected sib pairs were concordant for specific patterns of generalized rOA involving the hand and large joints (knees, hips or spine).

CONCLUSIONS

GOGO represents a large multicenter collection of families with multiple joint OA that have been characterized both clinically and radiographically. The GOGO study will employ a comprehensive strategy for genetic screening based upon both qualitative and quantitative radiographic trait analyses, circulating biomarkers in a quantitative trait-based analysis, fine mapping, and candidate gene analysis. This sample should provide sufficient power to detect linkage to OA associated genes.

A genomewide scan for early-onset coronary artery disease in 438 families: the GENECARD Study

A family history of coronary artery disease (CAD), especially when the disease occurs at a young age, is a potent risk factor for CAD. DNA collection in families in which two or more siblings are affected at an early age allows identification of genetic factors for CAD by linkage analysis. We performed a genomewide scan in 1,168 individuals from 438 families, including 493 affected sibling pairs with documented onset of CAD before 51 years of age in men and before 56 years of age in women. We prospectively defined three phenotypic subsets of families: (1) acute coronary syndrome in two or more siblings; (2) absence of type 2 diabetes in all affected siblings; and (3) atherogenic dyslipidemia in any one sibling. Genotypes were analyzed for 395 microsatellite markers. Regions were defined as providing evidence for linkage if they provided parametric two-point LOD scores >1.5, together with nonparametric multipoint LOD scores >1.0. Regions on chromosomes 3q13 (multipoint LOD = 3.3; empirical P value <.001) and 5q31 (multipoint LOD = 1.4; empirical P value <.081) met these criteria in the entire data set, and regions on chromosomes 1q25, 3q13, 7p14, and 19p13 met these criteria in one or more of the subsets. Two regions, 3q13 and 1q25, met the criteria for genomewide significance. We have identified a region on chromosome 3q13 that is linked to early-onset CAD, as well as additional regions of interest that will require further analysis. These data provide initial areas of the human genome where further investigation may reveal susceptibility genes for early-onset CAD.

Articular hypermobility is a protective factor for hand osteoarthritis

OBJECTIVE

Very few studies have evaluated the association of articular hypermobility and radiographic osteoarthritis (OA) in humans. We assessed hypermobility and its relationship to radiographic hand OA in a family-based study.

METHODS

A total of 1,043 individuals were enrolled in the multicenter Genetics of Generalized Osteoarthritis study, in which families were required to have 2 siblings with radiographic OA involving >/=3 joints (distributed bilaterally) of the distal interphalangeal (DIP), proximal interphalangeal (PIP), or carpometacarpal (CMC) joint groups, and OA in at least one DIP joint. Radiographic OA was defined as a score of >/=2 on the Kellgren/Lawrence scale in one or more joints within the group. The Beighton criteria for assessment of hypermobility were recorded on a 0-9-point scale. Hypermobility was defined as a Beighton score of >/=4, a threshold generally used to establish a clinical diagnosis of joint laxity. A threshold of >/=2 was also evaluated to assess lesser degrees of hypermobility. The Beighton score for the present was calculated based on clinical examination, and that for the past was based on recall of childhood hypermobility in the first 2 decades of life. The association of hypermobility and radiographic OA of the PIP, CMC, and metacarpophalangeal joints was evaluated in all participants and in men and women separately. Multiple logistic regression was used to examine the relationship of hypermobility with radiographic OA in each joint group, after adjusting for age and sex. The association of hypermobility and DIP OA was not evaluated, because evidence of DIP OA was required for study inclusion.

RESULTS

Using a threshold Beighton score of 4, 3.7% of individuals were classified as hypermobile based on the present examination, and 7.4% were classified as hypermobile based on the past assessment. A significant negative association between present hypermobility and age was observed. In persons with hypermobility, the odds of OA in PIP joints was lower (for present, odds ratio [OR] 0.34, 95% confidence interval [95% CI] 0.16-0.71; for past, OR 0.43, 95% CI 0.24-0.78). Similar results were obtained using a threshold Beighton score of 2. The lower odds of PIP OA with hypermobility were significant after adjusting for sex and age (for present, OR 0.44, 95% CI 0.20-0.94; for past, OR 0.48, 95% CI 0.26-0.87).

CONCLUSION

This study demonstrated a joint-protective effect of hypermobility for radiographic OA of PIP joints. In contrast to previous studies showing an association of hypermobility and CMC OA, in this cohort there was no evidence for increased odds of OA in any joint group of the hand in association with articular hypermobility.