Amyloid fibrils in which specific proteins have polymerized into a cross--sheet structure are found in about 20 diseases. In contrast to the close structural similarity of fibrils formed in different amyloid diseases, the structures of the corresponding native proteins differ widely. We show here that peptides as short as 4 residues with the sequences KFFE or KVVE can form amyloid fibrils that are practically identical to fibrils formed in association with disease, as judged by electron microscopy and Congo red staining. In contrast, KLLE or KAAE do not form fibrils. The fibril-forming KFFE and KVVE show partial -strand conformation in solution, whereas the non-fibril-forming KLLE and KAAE show random structure only, suggesting that inherent propensity for -strand conformation promotes fibril formation. The peptides KFFK or EFFE do not form fibrils on their own but do so in an equimolar mixture. Thus, intermolecular electrostatic interactions, either between charged dipolar peptides or between complementary charges of co-fibrillating peptides favor fibril formation.Protein aggregates in the form of amyloid fibrils are found in about 20 diseases, including Alzheimer's disease, transmissible spongiform encephalopathies, Parkinson's disease, and type II diabetes mellitus (1). X-ray diffraction data suggest that the proteins have polymerized into a cross--sheet structure with the -strands perpendicular to the fibril axis (2). The structure of amyloid fibrils is typically very similar, although the polypeptides they are formed from can be highly dissimilar in their native states. Initially, only a few peptides and proteins were considered capable of forming fibrils, although also short fragments of amyloidogenic proteins form fibrils. More recently, it has been established that even globular all-helical proteins like myoglobin, which normally do not give rise to amyloid, can be converted to fibrils if incubated under partly denaturing conditions (3). This suggests that most proteins have the potential to form amyloid fibrils.It is not known which features cause a few specific proteins to form amyloid fibrils in vivo. Some amyloidogenic peptides and proteins harbor specific ␣-helices that are predicted to generate -strands (4), and evidence that aggregation is initiated from particular regions of a polypeptide chain is accumulating (5). For example, the peptides NFGAIL from islet amyloid polypeptide, HQKLVFFAED from the amyloid -peptide (A), 1 and VQIVYK from tau form fibrils and are crucial for fibril formation of the full-length peptides (6 -8). Common to these sequences is the presence of hydrophobic amino acids of which at least one is aromatic. In this work, we aimed to explore the minimum requirements for fibril formation in short model peptides. The results show that peptides as short as 4 residues can form amyloid fibrils. Hydrophobic residues with high propensities for -strand conformation and residues with complementary charges promote fibril formation, and positively and negatively charged peptides...
Summary Orally available direct thrombin inhibitors (DTI) and direct activated factor X inhibitors (DFXaI) may replace vitamin K antagonists in patients needing long‐term anticoagulant treatment. We investigated the influence on the fibrin network of anticoagulants with different modes of action: AR‐H067637 (DTI), the active metabolite of AZD0837, apixaban (DFXaI), fondaparinux (indirect FXaI) and warfarin. Counteraction of the anticoagulant effect by FEIBA® (Factor Eight Inhibitor Bypass Activity) was also investigated. Tissue factor, phospholipids and calcium were used to initiate coagulation in human platelet poor plasma. The permeability constant (Ks), reflecting the amount of buffer passing through the coagulum, was calculated and the fibrin network was visualized by 3D confocal microscopy. Warfarin (International Normalized Ratio 2‐3) increased Ks in plasma by 28–50% compared with control. ‘Therapeutic’ plasma concentrations of AR‐H067637 (0·3–0·6 μmol/l), apixaban (0·2–0·4 μmol/l) and fondaparinux (0·1–0·3 μmol/l) increased Ks by 72–91%, 58–76% and 36–53% respectively. Addition of FEIBA® totally reversed the warfarin effect but only partially reversed effects of the other anticoagulants at concentrations that increased Ks by 50% or more. Fibrin network observed with 3D confocal microscopy agreed well with the permeability results. In conclusion, all examined anticoagulants rendered the fibrin network more porous. FEIBA® reversed the increased permeability in warfarin plasma but had only partial effects on the other anticoagulants.
The diversity of peptide ligands for a particular receptor may provide a greater dynamic range of functional responses, while maintaining selectivity in receptor activation. Dynorphin A (Dyn A), and dynorphin B (Dyn B) are endogenous opioid peptides that activate the j-opioid receptor (KOR). Here, we characterized interactions of big dynorphin (Big Dyn), a 32-amino acid prodynorphin-derived peptide consisting of Dyn A and Dyn B, with human KOR, l-(hMOR) and d-(hDOR) opioid receptors and opioid receptor-like receptor 1 (hORL1) expressed in cells transfected with respective cDNA. Big Dyn and Dyn A demonstrated roughly similar affinity for binding to hKOR that was higher than that of Dyn B. Dyn A was more selective for hKOR over hMOR, hDOR and hORL1 than Big Dyn, while Dyn B demonstrated low selectivity. In contrast, Big Dyn activated G proteins through KOR with much greater potency, efficacy and selectivity than other dynorphins. There was no correlation between the rank order of the potency for the KOR-mediated activation of G proteins and the binding affinity of dynorphins for KOR. The rank of the selectivity for the activation of G proteins through hKOR and of the binding to this receptor also differed. Immunoreactive Big Dyn was detected using the combination of radioimmunoassay (RIA) and HPLC in the human nucleus accumbens, caudate nucleus, hippocampus and cerebrospinal fluid (CSF) with the ratio of Big Dyn and Dyn B being approximately 1 : 3. The presence in the brain implies that Big Dyn, along with other dynorphins, is processed from prodynorphin and secreted from neurons. Collectively, the high potency and efficacy and the relative abundance suggest that Big Dyn may play a role in the KOR-mediated activation of G proteins.
The amyloid plaque, consisting of amyloid beta-peptide (Abeta) fibrils surrounded by dystrophic neurites, is an invariable feature of Alzheimer's disease. The determination of the molecular structure of Abeta fibrils is a significant goal that may lead to the structure-based design of effective therapeutics for Alzheimer's disease. Technical challenges have thus far rendered this goal impossible. In the present study, we develop an alternative methodology. Rather than determining the structure directly, we design conformationally constrained peptides and demonstrate that only certain 'bricks' can aggregate into fibrils morphologically identical to Abeta fibrils. The designed peptides include variants of a decapeptide fragment of Abeta, previously shown to be one of the smallest peptides that (1) includes a pentapeptide sequence necessary for Abeta-Abeta binding and aggregation and (2) can form fibrils indistinguishable from those formed by full-length Abeta. The secondary structure of these bricks is monitored by CD spectroscopy, and electron microscopy is used to study the morphology of the aggregates formed. We then made various residue deletions and substitutions to determine which structural features are essential for fibril formation. From the constraints, statistical analysis of side-chain pair correlations in beta-sheets and experimental data, we deduce a detailed model of the peptide strand alignment in fibrils formed by these bricks. Our results show that the constrained decapeptide dimers rapidly form an intramolecular, antiparallel beta-sheet and polymerize into amyloid fibrils at low concentrations. We suggest that the formation of an exposed beta-sheet (e.g. an Abeta dimer formed by interaction in the decapeptide region) could be a rate-limiting step in fibril formation. A theoretical framework that explains the results is presented in parallel with the data.
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