Search

Amyloid-β peptide (Aβ) is the principal component of plaques in the brains of patients with Alzheimer's disease (AD), and the most toxic form of Aβ may be as soluble oligomers. We report here the results of a microarray study of gene expression profiles in primary mouse cortical neurons in response to oligomeric Aβ(1-42). A major and unexpected finding was the down-regulation of genes involved in the biosynthesis of cholesterol and other steroids and lipids (such as Fdft1, Fdps, Idi1, Ldr, Mvd, Mvk, Nsdhl, Sc4mol), the expression of which was verified by quantitative real-time RT-PCR (qPCR). The ATP-binding cassette gene Abca1, which has a major role in cholesterol transport in brain and other tissues and has been genetically linked to AD, was notably up-regulated. The possible involvement of cholesterol and other lipids in Aβ synthesis and action in Alzheimer's disease has been studied and debated extensively but remains unresolved. These new data suggest that Aβ may influence steroid and lipid metabolism in neurons via multiple gene-expression changes.

Although the mechanism of Aβ action in the pathogenesis of Alzheimer's disease (AD) has remained elusive, it is known to increase the expression of the antagonist of canonical wnt signalling, Dickkopf-1 (Dkk1), whereas the silencing of Dkk1 blocks Aβ neurotoxicity. We asked if clusterin, known to be regulated by wnt, is part of an Aβ/Dkk1 neurotoxic pathway. Knockdown of clusterin in primary neurons reduced Aβ toxicity and DKK1 upregulation and, conversely, Aβ increased intracellular clusterin and decreased clusterin protein secretion, resulting in the p53-dependent induction of DKK1. To further elucidate how the clusterin-dependent induction of Dkk1 by Aβ mediates neurotoxicity, we measured the effects of Aβ and Dkk1 protein on whole-genome expression in primary neurons, finding a common pathway suggestive of activation of wnt-planar cell polarity (PCP)-c-Jun N-terminal kinase (JNK) signalling leading to the induction of genes including EGR1 (early growth response-1), NAB2 (Ngfi-A-binding protein-2) and KLF10 (Krüppel-like factor-10) that, when individually silenced, protected against Aβ neurotoxicity and/or tau phosphorylation. Neuronal overexpression of Dkk1 in transgenic mice mimicked this Aβ-induced pathway and resulted in age-dependent increases in tau phosphorylation in hippocampus and cognitive impairment. Furthermore, we show that this Dkk1/wnt-PCP-JNK pathway is active in an Aβ-based mouse model of AD and in AD brain, but not in a tau-based mouse model or in frontotemporal dementia brain. Thus, we have identified a pathway whereby Aβ induces a clusterin/p53/Dkk1/wnt-PCP-JNK pathway, which drives the upregulation of several genes that mediate the development of AD-like neuropathologies, thereby providing new mechanistic insights into the action of Aβ in neurodegenerative diseases.Molecular Psychiatry advance online publication, 20 November 2012; doi:10.1038/mp.2012.163., JOURNAL ARTICLE, SCOPUS: ar.j, info:eu-repo/semantics/published

Familial late-onset Alzheimer's disease (LOAD) shows high heritability. However, with the exception of ApoE, no well-replicated susceptibility genes have been identified to date. Several genome-wide linkage studies have nominated potential susceptibility loci but results are inconsistent, with individual scans showing few significant LOD scores. We have pooled linkage results from five independent genome scans and used the genome search meta-analysis (GSMA) method to analyse these data. The combined sample results in 2206 affected individuals and 785 families from Caucasian and Caribbean Hispanic ethnicities. The Caucasian samples included subjects from the US, the Netherlands and Sweden. Genome-wide suggestive evidence for linkage was observed on chromosomes 1p13.3-q31.1, 7pter-p21.1 and 8p22-p21.1 in the weighted GSMA analysis. The chromosome 8p region achieved the lowest summed rank p-value of 0.001. We also identified seven loci with nominally significant evidence for linkage to 3q12.3-q22.1, 6p21.1-q15, 7p14.1-q21.11, 17q24.3-qter and 19p13.3-qter. The GSMA finding suggests that these loci may harbour susceptibility genes for LOAD. We have also developed a web resource (http://alzres.iop.kcl.ac.uk/) to present additional GSMA analyses with different study selection criteria, facilitate the reanalysis of genome-wide linkage data and provide open access to the GSMA data.

A central question in molecular evolution concerns the nature of phenotypic transitions, in particular, if neutral mutations hamper or somehow facilitate adaptability of proteins to new requirements. Proteins have been found to fluctuate between different structures, with frequencies of structures being proportional to their stability. Therefore, functional promiscuity may correspond to different structures with energies close to the ground state which then represent multiple selectable traits. We here postulate that these near-ground-state structures facilitate smooth transitions between phenotypes. Using a biophysical heteropolymer model with exhaustive mappings of sequences onto structures, we demonstrate that this is indeed possible because of a smooth gradient of stability along which any structural phenotype can be optimized and also because of mutational proximity of similar phenotypes in genotype space. Our model provides a biophysical rationalization of the intriguing, and otherwise puzzling experimental observation that adaptation to new requirements, e.g., latent function of a promiscuous enzyme, can proceed while the “old,” phenotypically dominant function is maintained along a series of seemingly neutral mutations „see accompanying article…. Thus pleiotropy may facilitate adaptation of latent traits before gene duplications and increase the effective adaptability of proteins. [DOI: 10.2976/1.2739116]

Understanding the evolution of biopolymers is a key element in rationalizing their structures and functions. Simple exact models (SEMs) are well-positioned to address general principles of evolution as they permit the exhaustive enumeration of both sequence and structure (conformational) spaces. The physics-based models of the complete mapping between genotypes and phenotypes afforded by SEMs have proven valuable for gaining insight into how adaptation and selection operate among large collections of sequences and structures. This study compares the properties of evolutionary landscapes of a variety of SEMs to delineate robust predictions and possible model-specific artifacts. Among the models studied, the ruggedness of evolutionary landscape is significantly model-dependent; those derived from more proteinlike models appear to be smoother. We found that a common practice of restricting protein structure space to maximally compact lattice conformations results in (i.e., “designs in”) many encodable (designable) structures that are not otherwise encodable in the corresponding unrestrained structure space. This discrepancy is especially severe for model potentials that seek to mimic the major role of hydrophobic interactions in protein folding. In general, restricting conformations to be maximally compact leads to larger changes in the model genotype-phenotype mapping than a moderate shifting of reference state energy of the model potential function to allow for more specific encoding via the “designing out” effects of repulsive interactions. Despite these variations, the superfunnel paradigm applies to all SEMs we have tested: For a majority of neutral nets across different models, there exists a funnel-like organization of native stabilities for the sequences in a neutral net encoding for the same structure, and the thermodynamically most stable sequence is also the most robust against mutation.

More than 100 point mutations spanning the 153 amino acid SOD1 sequence have been identified in individuals with ALS. In 1999 the Amyotrophic Lateral Sclerosis Database (ALSOD) was generated to store these mutations along with ALS patient information to facilitate the identification of a correlation between the SOD1 genotype with the ALS phenotype. Here we report our ongoing development and redesign of the ALSOD database and its automated procedures. The significant new features have improved ALSOD, helping link the mutations of the SOD1 gene to the hypothetical three-dimensional protein structural rearrangement, and the resulting ALS phenotype. Additionally, ALSOD now provides a more comprehensive knowledge base for ALS, detailing genetic, proteomic, and bioinformatics information associated with the disease. ALSOD can be accessed at http://alsod.iop.kcl.ac.uk/als/.