Acetylcholinesterase (AChE) has been found to be associated with the core of senile plaques. We have shown that AChE interacts with the amyloid beta-peptide (Abeta) and promotes amyloid fibril formation by a hydrophobic environment close to the peripheral anionic binding site (PAS) of the enzyme. Here we present evidence for the structural motif of AChE involved in this interaction. First, we modeled the docking of Abeta onto the structure of Torpedo californica AChE, and identified four potential sites for AChE-Abeta complex formation. One of these, Site I, spans a major hydrophobic sequence exposed on the surface of AChE, which had been previously shown to interact with liposomes [Shin et al. (1996) Protein Sci. 5, 42-51]. Second, we examined several AChE-derived peptides and found that a synthetic 35-residue peptide corresponding to the above hydrophobic sequence was able to promote amyloid formation. We also studied the ability to promote amyloid formation of two synthetic 24-residue peptides derived from the sequence of a Omega-loop, which has been suggested as an AChE-Abeta interacting motif. Kinetic analyses indicate that only the 35-residue hydrophobic peptide mimics the effect of intact AChE on amyloid formation. Moreover, RP-HPLC analysis revealed that the 35-residue peptide was incorporated into the growing Abeta-fibrils. Finally, fluorescence binding studies showed that this peptide binds Abeta with a K(d) = 184 microM, independent of salt concentration, indicating that the interaction is primarily hydrophobic. Our results indicate that the homologous human AChE motif is capable of accelerating Abeta fibrillogenesis.

The bulk hydrophobic character for the 20 natural amino acid residues, has been obtained from a database of 60 protein structures, grouped in the four structural classes alpha alpha, beta beta, alpha + beta and alpha/beta. The hydrophobicity coefficients thus obtained are compared with Ponnuswamy's original values using scales normalized to average = 0.0 and standard deviation = 1.0. Even though most of the amino acid residues do not change their hydropathic character in the different structural classes, their behaviour suggests the convenience that averaging methods should only consider proteins of the same structural class and that this information should be included in the secondary structure methods.

The main component of the amyloid senile plaques found in Alzheimer's brain is the amyloid-beta-peptide (A beta), a proteolytic product of a membrane precursor protein. Previous structural studies have found different conformations for the A beta peptide depending on the solvent and pH used. In general, they have suggested an alpha-helix conformation at the N-terminal domain and a beta-sheet conformation for the C-terminal domain. The structure of the complete A beta peptide (residues 1-40) solved by NMR has revealed that only helical structure is present in A beta. However, this result cannot explain the large beta-sheet A beta aggregates known to form amyloid under physiological conditions. Therefore, we investigated the structure of A beta by molecular modeling based on extensive homology using the Smith and Waterman algorithm implemented in the MPsrch program (Blitz server). The results showed a mean value of 23% identity with selected sequences. Since these values do not allow a clear homology to be established with a reference structure in order to perform molecular modeling studies, we searched for detailed homology. A 28% identity with an alpha/beta segment of a triosephosphate isomerase (TIM) from Culex tarralis with an unsolved three-dimensional structure was obtained. Then, multiple sequence alignment was performed considering A beta, TIM from C.tarralis and another five TIM sequences with known three-dimensional structures. We found a TIM segment with secondary structure elements in agreement with previous experimental data for A beta. Moreover, when a synthetic peptide from this TIM segment was studied in vitro, it was able to aggregate and to form amyloid fibrils, as established by Congo red binding and electron microscopy. The A beta model obtained was optimized by molecular dynamics considering ionizable side chains in order to simulate A beta in a neutral pH environment. We report here the structural implications of this study.