A domain level interaction network of amyloid precursor protein and Abeta of Alzheimer's disease.

The primary constituent of the amyloid plaque, beta-amyloid (Abeta), is thought to be the causal "toxic moiety" of Alzheimer's disease. However, despite much work focused on both Abeta and its parent protein, amyloid precursor protein (APP), the functional roles of APP and its cleavage products remain to be fully elucidated. Protein-protein interaction networks can provide insight into protein function, however, high-throughput data often report false positives and are in frequent disagreement with low-throughput experiments. Moreover, the complexity of the CNS is likely to be under represented in such databases. Therefore, we curated the published work characterizing both APP and Abeta to create a protein interaction network of APP and its proteolytic cleavage products, with annotation, where possible, to the level of APP binding domain and isoform. This is the first time that an interactome has been refined to domain level, essential for the interpretation of APP due to the presence of multiple isoforms and processed fragments. Gene ontology and network analysis were used to identify potentially novel functional relationships among interacting proteins.

The apolipoprotein E epsilon4 allele is not associated with cognitive dysfunction in cardiac surgery.

BACKGROUND: The plasma protein apolipoprotein E (APOE) is a risk factor for degenerative cognitive decline manifested by mild cognitive impairment and later by Alzheimer's disease. Patients undergoing coronary artery bypass grafting (CABG) are known to have a high prevalence of preexisting cognitive impairment and postoperative cognitive dysfunction. Because both mild cognitive impairment and Alzheimer's disease generally occur in elderly individuals, the age group that commonly present for CABG, we investigated if the APOE epsilon4 allele was associated with patients manifesting preexisting cognitive impairment and postoperative cognitive dysfunction. METHODS: The DNA of 282 patients who had undergone neuropsychologic testing before and 3 and 12 months after CABG was analyzed for APOE genotype. Patients were classified as having preexisting cognitive impairment if cognitive function was decreased in two or more tests compared with a healthy control group. Postoperative cognitive dysfunction was defined as a decrease in two or more tests compared with the group mean baseline score. RESULTS: The APOE epsilon4 allele was found in 83 (29.4%) patients. Although preexisting cognitive impairment was present in 105 (37.2%) and postoperative cognitive dysfunction in 33 (12%) and 31 (11%) at 3 and 12 months postoperatively, there was no relationship with the presence of the APOE epsilon4 allele or any of the six genotypes. CONCLUSIONS: Preexisting cognitive impairment and postoperative cognitive dysfunction are not associated with APOE epsilon4 genotype, suggesting that cognitive impairment both before and after CABG may not be associated with degenerative cognitive decline.

Phenotype-directed analysis of genotype in early-onset, familial breast cancers.

UNLABELLED: Considerable heterogeneity of morphology and disease outcome exists within breast cancers (BC), which likely reflects variable molecular pathogeneses within this broad clinical group. AIM: To evaluate the underlying genomic alterations associated with familial, early-onset BC (EOBC) phenotypes, in order to improve the management of this disease. METHODS: Using hierarchical clustering of morphological and immunophenotypical parameters, 116 EOBC were stratified into six groups. Conventional and array-based comparative genomic hybridisation was used to analyse the genomic alterations. RESULTS: Specific areas of genomic imbalance were associated with individual phenotypes. The largest phenotypical group was high grade, oestrogen receptor and HER-2 negative. This group contained the majority of BRCA1 germline mutation-associated tumours and commonly showed loss of chromosomal regions 5cent-5q13, 5q14-22 and 4q28-32. High mitotic rate, an important indicator of tumour cell proliferation and poor prognosis, was associated with gain of 19p, mapped within 7 Mb of the telomere. This region contains the candidate oncogene CDC34, the protein product of which is involved in ubiquitin-mediated degradation of the cyclin-dependent kinase inhibitor, p27Kip1. CONCLUSION: Phenotype-based analysis can be used to determine the genetic changes important in subtypes of BC. Further, the different morphological phenotypes could act as a cost-effective surrogate for genotypical stratification to facilitate optimal management of this disease.