Amyloid-β (Aβ) peptide oligomers have come under intense scrutiny as the prime suspects in the synapse loss and neurotoxicity associated with Alzheimer disease. But despite their sticky nature, the oligomers have proved a slippery foe to researchers wanting to understand their physical makeup. Nearly impossible to isolate, constantly changing in solution, the oligomers have been hard to handle with traditional biochemical techniques.

For a new look, Michael Bowers and colleagues at the University of California, Santa Barbara, used a modified mass spectrometry technique to characterize the oligomerization states of Aβ peptides. Published online June 14 in Nature Chemistry, the work nominates tetramers and dodecamers as key players in the formation of larger amyloid conglomerates, and in the toxicity of Aβ42.

Another paper, in the 10 June Journal of Neuroscience, also reports news on oligomer conformation and its role in toxicity. That work, from Gerd Multhaup and colleagues at the Berlin Free University in Germany, shows that changing a single residue in the Aβ42 peptide can enhance oligomer formation while decreasing toxicity. The results suggest that the toxic Aβ42 oligomer takes on a special shape beyond the fact of its multiplexing, and that that shape could be a target for neuron-sparing therapies.

The senior author on the first report, Bowers is a chemical physicist who developed the method of ion-mobility spectrometry, a technique for analyzing protein structures in a gas-phase system. In the technique, a peptide solution is first sprayed out in fine droplets, just as in mass spec. The solvent evaporates, leaving a collection of ionized protein aggregates floating in a gaseous environment. The mixture is then injected into a helium-filled cell where the aggregates drift under a weak electrical current, with their speed determined by the molecule’s 3D shape. By measuring the time it takes for different species to arrive at the other end of the cell, the researchers can calculate a three-dimensional cross-sectional area for the aggregates. (For a more thorough explanation of the technique, see the accompanying News and Views by David Clemmer and Stephen Valentine, Indiana University, Bloomington.)

In collaboration with Gal Bitan and David Teplow, both of University of California at Los Angeles, Bowers turned this technique to analyzing solutions of Aβ peptides. It took two years for first author Summer Bernstein to get a successful look at Aβ42, because the peptide solution quickly clogged the spray nozzle as it aggregated into larger fibrils. When she finally worked out the conditions, she found a mixture of structures that included dimers, tetramers, hexamers, and dodecamers (Bernstein et al., 2005).

The new work compares the aggregation patterns for a number of Aβ peptides. In contrast to Aβ42, the analysis of Aβ40 was easy, Bowers told ARF. That peptide sprayed nicely and produced drift time peaks corresponding to monomers, dimers, and tetramers, but no higher aggregates. This suggested that the hexamers and dodecamers were on the pathway to fibril formation. This idea was supported when solutions of two non-fibrillogenic forms of Aβ42, one carrying a proline at residue 19 and the other with an oxidized Met35 residue, also revealed tetramers as the highest oligomers.

Cross-section measurements revealed a possible structural basis for the different oligomer profiles. By comparing the experimentally determined area to calculated areas based on the possible arrangements of spherical units, the researchers arrived at likely configurations for tetramers of the various peptides. Their measurements suggest that Aβ40 forms a closed tetramer, with two dimers forming a V of about 30 degrees. In contrast, the Aβ42 tetramer was much more open, with an angle approaching 120 degrees. This accessibility could explain why Aβ42 goes on to incorporate more subunits, while the Aβ40 tetramer is a dead end, the authors suggest.

In the same way, the Aβ42 hexamer measurements best fit a planar ring structure, and the dodecamer, two rings on top of one another. The dodecamer structure seemed to resist the addition of more Aβ units, because the investigators did not see oligomers larger than 12-mers, in spite of the fact that their solutions clearly contained larger aggregates that could clog the spray port. The results are consistent with the dodecamer as a metastable intermediate that would need to undergo some kind of conformational rearrangement, possibly involving the acquisition of β-sheet structure to start fibril formation. These results fit with previous crosslinking studies from co-authors Teplow and Bitan (Bitan et al., 2003) supporting the idea of a six-member “paranucleus” as an important unit of assembly.

The formation of hexamers and dodecamers preferentially by Aβ42 could explain the toxicity of 42 over 40, the authors say. Bowers believes the dodecamer is the memory-impairing structure that Karen Ashe and colleagues isolated from mouse brain, and call Aβ*56 (see ARF related news story on Lesne et al., 2006). The dodecamer “is the terminal species observed in our experiments, and has a mass of ~55.2 kDa, which suggests it is the soluble assembly that Lesne et al. observed,” the authors write.

However, the nomination of hexamers and dodecamers as the toxic species runs counter to other research that implicates dimers isolated from human Alzheimer disease brains as the toxic species (see ARF related news story on Shankar et al., 2008), or to work that implicates tetramers (see comment from Gerd Multhaup below). The data from Bowers and colleagues suggest that tetramers, but also dimers of Aβ42 exist in multiple conformations, and that dimers show different cross-sectional areas compared with dimers of Aβ40 or of the Pro19 or oxidized Met forms of Aβ42. If toxicity is a matter of subtle conformational determinants, as many scientists argue, it is possible that these lower-n oligomers could also have differential toxic effects.

Interestingly, another recent paper from Bowers and Teplow using the same technique shows that in mixtures of Aβ40 and 42, oligomer formation tops out with tetramers. The implication there is that Aβ40, which is more abundant than Aβ42 in brain, could be preventing higher oligomer and fibril formation (Murray et al., 2009; see also Kim et al., 2007).

Bowers stressed the role of the hydrophobic tail in oligomer assembly. “The thing that distinguishes Aβ42 is the very long hydrophobic tail from residues 29 to 42. Aβ40 also has a fairly long hydrophobic tail from 29-40, but apparently, those two residues are enough to swing the balance between 40 and 42. It’s astonishing to me that we observed that Aβ40 stops at the tetramer; if you oxidize Met35 in Aβ42 it stops at the tetramer, and if you change residue 19 to proline it stops at the tetramer.”

The critical role of hydrophobic residues, and their effects on conformation, is borne out by the work of Multhaup and colleagues, who looked at the effects of mutating a glycine residue in that same tail region of Aβ42. In their paper, first author Anja Harmeier substituted alanine or isoleucine for Gly33 in the crucial GxxxG dimerization motif. More hydrophobic substitution resulted in a rapid oligomerization of synthetic peptides to higher-order oligomers (16-20-mers). The oligomers seemed to adopt a more compact conformation based on proteolytic cleavage patterns, and molecular modeling indicated that increased hydrophobicity may have promoted β-sheet conformation. These effects were unique to Gly33, as substitution at Gly29 did not affect aggregation state.

The German researchers then tested the toxicity to neuronal cells of the Aβ variants and their oligomeric fractions. They found that the wild-type peptide was most toxic in low-n oligomer fractions (dimers to tetramers), while none of the Gly33 mutant aggregates were. The Drosophila eye photoreceptor assay yielded the same result in vivo, with the Gly33 mutant peptide showing no toxicity. Moreover, the investigators found that the mutation abolished the ability of Aβ42 tetramers to inhibit long-term potentiation in hippocampal slices. They conclude that the toxicity of Aβ42 oligomers relies on a Gly33-dependent conformation, not just the fact of oligomerization itself. Their identification of toxic versus innocuous oligomers should facilitate exploration of the toxic mechanism on cells, they conclude.

While this study and the Bowers work keep conformational issues front and center, an unresolved question remains: Can in-vitro studies with synthetic peptides truly recapitulate the state of Aβ that is produced, and aggregates, in the aging human brain? Until the question of which oligomers are toxic and which might be protective is better understood with natural oligomers, as well, the quest to alter oligomerization as a therapeutic strategy proceeds at some risk.—Pat McCaffrey


  1. The search for the toxic species responsible for the neurodegeneration observed in Alzheimer disease has become this field’s Holy Grail. And much like that mythical search, the search for the toxic species has been full of false leads, dead ends, and even a couple of conspiracy theories. One thing that most of the field will agree on is that Aβ aggregation is a central element to the generation of the toxic species, with most of the recent focus being on the formation of smaller oligomeric forms. However, due to limitations of many methods, studying aggregating proteins and peptides has proved to be an inexact science. For this reason the work by Bernstein et al. using mass spectrometry coupled with ion mobility to characterize the early aggregation pathway of both Aβ40 and 42 is a technical tour de force. The approach is very elegant. It elucidates many of the intermediates on the aggregation pathway and clearly shows that Aβ40 and 42 behave differently. The major difference is that Aβ42 forms a meta-stable dodecamer structure, a species that has previously been identified as a candidate for the toxic species (Lesne et al., 2006).

    Is this dodecamer the toxic species? We don’t know. While the dodecamer may be the most stable species in a “test tube,” we also know that Aβ is capable of interacting with a range of biological substrates, all of which could stabilize other structural forms of Aβ. These binding partners include lipid membranes (e.g., Kayed et al., 2004; Tickler et al., 2005; Hung et al., 2008; Martins et al., 2008), protein receptors (e.g., Deshpande et al., 2009) and metal ions (Bush, 2003). All of these factors have been implicated in the generation of the toxic species.

    The existence of the meta-stable dodecamer structure raises an interesting conundrum with respect to the many efforts that are currently ongoing to isolate the toxic Aβ species from various tissues. Function (toxic or otherwise) is related to structure; Aβ is a pleiomorphic molecule and its structure depends on its context—change the context and you change the structure. The findings by Bernstein et al. suggest that if you have isolated Aβ42, then the default structure that this peptide will most likely adopt is the dodecamer. Whether this is the structure the peptide originally had in the brain is an unanswered question.

    The work by Harmeier et al. reminds us that there is more to Aβ toxicity than peptide aggregation. We have previously shown that mutations to the GxxxG motif can alter the rate of Aβ aggregation affecting the formation of smaller oligomers of Aβ and their interactions with lipid membranes (Hung et al., 2008). Harmeier et al. have extended this work into an in-vivo fly model and show that G33 is a key residue in regulating Aβ aggregation and toxicity. Substitutions that increase the hydrophobicity at this residue increase aggregation and in the process decrease the toxicity.

    Similarly, we have previously published that a single substitution to Y10 of Aβ inhibited toxicity, even though this peptide formed dimers, trimers, and other oligomeric forms including a 56 KDa species (Barnham et al., 2004). These data show that Aβ aggregation is not the only requirement for toxicity. Other factors do indeed play a role, and it is likely to be a quite specific conformation of Aβ oligomer that is toxic. The requirement for a specific conformation for Aβ toxicity would be consistent with the concept that toxicity is mediated through a specific receptor interaction, e.g., such as with the NMDA receptor (Deshpande et al., 2009).

    The work by Bernstein et al. and Harmeier et al. sheds more light on the search for the Holy Grail, but the quest will continue.


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  2. We readily agree with some of the data and interpretations given in the interesting paper of Bernstein et al. Moreover, the study shows ESI-MS to be a useful method to analyze non-covalently linked oligomers in the gas phase. In my respectful opinion, some parts of the paper seem to focus too much on the Aβ*56 (12-mer).

    There is no doubt that the dimer and tetramer of Aβ42 are important. Quite a while ago, we were able to show why, since engineered dimers have a twofold increased β-sheet content (Schmechel et al., 2003). This was the first report to show that covalently linked dimers of Aβ can serve as a nidus to start fibril growth and that homodimers of Aβ are a risk factor for the formation of higher oligomers.

    Our data published last week in the Journal of Neuroscience (Harmeier et al., 2009) show that toxicity also requires a specific conformation of Aβ42 variants. The G33I substitution and mutant in Drosophila shows that it might be important to compare the conformations of Aβ42 toxic and non-toxic variants to learn which receptors might mediate the toxicity. This view is supported by Bernstein and colleagues, who show that tetramers of Aβ42 matter but not of Aβ40. In this regard, the S26C-linked dimer published last year by Tom Kukar and colleagues shows that engineered Aβ40 dimers can inhibit LTP and might adopt a toxic conformation, although it should be added that data of this paper are being intensely discussed in the field (Kukar et al., 2008).

    We agree that intrinsic factors matter, independent of the length of the peptide (i.e., 42 or 40 residues) and that the specific conformation is important. One also has to be mindful that LTP and cell toxicity are relevant assays, but their link to the AD pathology is still missing; in other words, are LTP inhibition or cell toxicity really the cause of degrading synapses and neuronal loss leading to memory loss in the end?

    In our view, another important point is that a therapeutic approach that aims to arrest aggregation at the stage of tetramers might be dangerous since tetramer and dimers were described as the most toxic species. It is possible that if a therapeutic approach attempts to arrest oligomer growth, the level of (toxic) forms might be unwittingly increased from the reservoir of non-toxic oligomers which might be converted into toxic forms by changing the conformation, e.g., by binding to a specific receptor? Thus, one has to make sure that a conversion of non-toxic into toxic oligomers will not happen.

    Fibril growth might not be a problem as long as those fibrils (non-toxic per se) are not a source of dimers or tetramers that are brought back into solution. It may sound crazy to some, but I believe it might be better to quickly deposit Aβ oligomers as fibrils that are then not harmful any longer, or at least less harmful. Finally, it could turn out that the longer dimers and tetramers are available over time, i.e., the longer their half-life, the higher the likelihood that damage accrues.


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  3. Elusive oligomerization-mediated amyloid-β-protein toxicity: Where have all the trimers gone?
    Evidence that the pathogenesis of Alzheimer disease (AD) is strongly associated with occurrence of oligomeric assemblies of Aβ is strongly challenging researchers who wish to identify suitable therapeutic strategies for prevention and cure of this debilitating illness. It is well known that of the two dominant alloforms of Aβ—Aβ40, and Aβ42—AD is more correlated with the latter, longer alloform. How does a small difference in the primary structure so critically affect the pathology? Within this past week, two inspiring papers addressed Aβ40 and Aβ42 oligomer formation and toxicity from unique angles.

    Application of ion-mobility mass spectroscopy to resolve the oligomer sizes of Aβ40 and Aβ42 performed in Michael Bowers’ group, in collaboration with experimental labs of Gal Bitan and Dave Teplow and the computational group of Joan-Emma Shea, yielded both expected and unexpected results (Bernstein et al., 2009). Expected was the fact that Aβ40 and Aβ42 oligomerized through distinct pathways, as has been experimentally demonstrated in 2003 by using photo-induced cross-linking of unmodified proteins (PICUP) (3). The present study by Bernstein and collaborators provides an independent confirmation of oligomerization differences between Aβ40 and Aβ42 and concurs that their differences are not induced by a particular chemistry of PICUP (5).

    Unexpected was the lack of trimers of both Aβ40 and Aβ42. Trimers represented a significant oligomeric species of Aβ40 oligomer population in the original study by Bitan and collaborators (3). Bernstein and collaborators found trimers to be present in oligomeric states of the two Aβ40 mutants, one with F19P substitution and the other with oxidized M35, demonstrating that the lack of trimers was not due to limitations of the experimental setup.

    Of all peptides under study, only Aβ42 formed oligomers larger than tetramers and was thus uniquely characterized by hexamers and dodecamers.

    Experimental data by Gerd Multhaup's group (Harmeier et al., 2009) show that a single-point mutation at G33 but not G29 can offset the oligomerization pathway of Aβ42. Both single-point mutations of Aβ42 under investigation, G33A and G33I, resulted in an enhanced oligomerization characterized by larger oligomers as compared to Aβ42 wild-type. Surprisingly, despite enhanced oligomerization, the resulting mutant oligomers were less toxic than Aβ42 wild-type oligomers! In the old days, the amyloid hypothesis of AD was associating neuronal loss and toxicity with amyloid plaques until a paradigm shift from amyloid fibrils to oligomers occurred. The present work by Harmeier and collaborators now demonstrates that toxicity is not necessarily correlated with the oligomerization propensity either (Harmeier et al., 2009), suggesting that specificity of the oligomer structure plays a crucial role in mediating toxicity.

    Both studies identified as the low molecular mass Aβ42 oligomeric species (in addition to monomers) also dimers, tetramers, and hexamers. The common feature between the two studies was also the fact that Aβ42 oligomer size distribution was multi-modal in contrast to the Aβ40 oligomer size distribution, in agreement with the prior work by Bitan et al. (3) , with additional peak at dodecamers (Bernstein et al., 2009) or 16- to 20-mers (Harmeier et al., 2009). No trimers were detected in either of the two studies. The two studies differ in their interpretation of Aβ42 toxicity. Bernstein et al. associated Aβ42 toxicity with occurrence of Aβ42 dodecamers with a proposed annular structure resembling ion channels, which if inserted into the membrane bilayer would cause ion leakage and thereby induce cell death. Harmeier et al. identified the key amino acid responsible for Aβ42 toxicity, G33, which if substituted by alanine or isoleucine would result in decreased toxicity of Aβ42(G33A) or Aβ42(G33I) assemblies despite increased oligomerization.

    The accompanying commentary on the work by Bernstein et al. was given by Clemmer and Valentine, who discussed whether the specific experimental set-up used in ion-mobility mass spectroscopy, involving peptides in solution to be sprayed into droplets, followed by solvent evaporation resulting in peptide assemblies immersed in a gas, alters the structure of resulting Aβ oligomers or not. If the answer was yes, then the resulting conformers might be less relevant to the etiology of AD, unless gaseous phase could be considered a model of a water-free membrane environment. If the answer is no, then one can assume that the resulting conformers had structure characteristic of an aqueous solution. The paper by Bernstein and collaborators discusses their experimental results using a modeling approach where individual spherical monomer conformers of Aβ42 form a planar hexamer ring, resulting in a close conformation that would not allow for a further addition of monomers and would, upon two-ring hexamer merge, form a potentially toxic dodecamer (Bernstein et al., 2009).

    Considering the possible Aβ oligomer structure in an aqueous environment from the viewpoint of a computational biophysicist whose work revolves around Aβ structural predictions (2), I see an alternative explanation of the observed structural differences between Aβ40 and Aβ42 oligomers and resulting oligomer-mediated toxicity. The sequence of either Aβ can be viewed as ~1/3 hydrophilic in the N-terminal region and ~2/3 hydrophobic in the central and the C-terminal regions. In water, the hydrophobic regions will be adjusted to achieve the least contact with water. Because the majority of the peptide is hydrophobic, a folded monomer will have many hydrophobic residues exposed to solvent. However, as oligomers form, the central and C-terminal regions will be more efficiently screened from water molecules by the hydrophilic N-terminal regions. The simulations which captured the oligomer size distribution differences as reported by previous work of Gal Bitan and Dave Teplow (3) revealed globular structures of all oligomers with a most intriguing structural difference between Aβ40 and Aβ42 oligomers at the N-terminal region (2). Aβ40 oligomers were characterized by a β-strand structure involving A2-F4 region, rendering more ordered and restricted N-termini, compared to Aβ42 oligomers with random-coil-like and spatially more extended structure at the N-termini (2), suggesting an increased cross-section for Aβ42 oligomers as compared to Aβ40 oligomers and thereby providing an alternative model for explaining the differences in the cross-sections reported by Bernstein and collaborators (Bernstein et al., 2009).

    A 5 percent difference in the primary structure at the C-terminus (Aβ40 versus Aβ42) results in an alteration of oligomer pathway as well as structural differences in the N-terminal region. Moreover, structural differences between alloforms appear already at the stage of folding. Our computational study exploring folded structures of Aβ(1-40), Aβ(1-42), and their Arctic mutants demonstrated a lack of the β-strand structure at the N-terminal regions of both Arctic mutants, rendering the folded structure of the Arctic mutants proximate to the more toxic Aβ(1-42) (1). If sequence differences at the C-terminus (Aβ40 and Aβ42) or a single-point mutation in the central hydrophobic region effectively changes the structure at the N-terminal region, then generalizations of any experimental or theoretical results from one alloform to another should be questioned and applied with great caution. Considering such long-range structural effects of a single-point mutation, the conclusion of Harmeier et al. that the amino acid G33 is the key amino acid that mediates toxicity should be slightly rephrased. It is possible that the substitution of G33 by alanine or isoleucine changes not only the local but also the global structure of the resulting oligomers and thus the key structural change that directly impacts the toxicity might be remote from the position G33.

    Substantial experimental and computational evidence on Aβ folding and oligomer formation demonstrates that we are dealing with a protein very sensitive to subtle changes in preparation and environment required for application of a specific experimental technique. Perhaps this very disordered nature of Aβ is key to understanding its oligomer formation and the highly selective toxicity of the resulting structures.


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  4. I am concerned about drawing firm conclusions about what
    happens in the human brain from pure synthetic oligomers. My lab prefers to work with naturally produced oligomers, even though
    they have obvious experimental limitations, and biophysical measures unfortunately
    cannot be applied due to their small quantities. I do believe from my own
    work that there will not turn out to be one predominant synaptotoxic
    oligomer form in the human brain but several assembly forms that are in
    dynamic equilibrium in vivo.

  5. Sex and the Single Amino Acid—A Devilish Problem
    In an article published in the 10 June issue of Journal of Neuroscience (1), Harmeier et al. report results of structure-activity studies of the 42-residue form of the amyloid-β protein, Aβ42. The work seeks to understand the role of single amino acids within Aβ on the folding dynamics, structure, and cellular activity of the peptide. The work reveals that glycine 33 (Gly33) may have a particularly significant role. (Actually, this role has nothing to do with sex, but the title apparently did induce you to read the commentary!)

    First, the stipulations of fact: 1) the Multhaup group has done, and continues to do, beautiful, interesting, and significant work; 2) the work of Harmeier et al. continues this tradition; 3) notwithstanding these facts, this commentator believes that it is fun, stimulating, and valuable for the field to play “Devil’s advocate” at times (this being one of them).

    The experimental work of Harmeier et al. is quite compelling. Substitution of the hydrophobic amino acids Ala or Ile for Gly33 produces a peptide that has a high propensity to self-associate, as determined by size exclusion chromatography (SEC). In contrast, substitution of Ala for Gly29, has little effect. Interestingly, both glycines participate in the formation of GxxxG motifs that have been found to mediate APP self-association and affect Aβ production (2). The data thus show how single amino acids in different contexts (APP or Aβ) may produce disparate structural effects. Interestingly, the corresponding doubly substituted peptide, [Gly29Ala/Gly33Ala]Aβ42, displayed aggregation properties (SEC) intermediate between those of the singly substituted peptides. One might predict, based on the aggregation characteristics of the singly substituted peptides, that [Gly29Ala/Gly33Ala]Aβ42 would assemble like [Gly33Ala]Aβ42. This was not the case, an observation again emphasizing the context-behavior relationship, namely the effect of a Gly33Ala substitution alone (i.e., in wild-type Aβ42) versus its behavior in the context of [Gly29Ala]Aβ42.

    Similar results were observed in experiments designed to probe the structural dynamics of Aβ42 and its “mutants.” In these experiments, limited trypsin proteolysis was used to evaluate the protease accessibility of the Lys peptide bonds (Lys16 and Lys28) in Aβ42. Conformers in which monomer folding, or monomer self-association, sequester these susceptible peptide bonds show increased protease resistance. In contrast, destabilizing substitutions increase proteolysis rates (e.g., see 3,4). Both Gly33 substitutions significantly decreased proteolysis, whereas the presence of Ala29, whether alone or with Ala33, increased protease susceptibility.

    Mechanistic explanations for the conformational dynamics data illustrate the complexity of the Aβ system and emphasize the difficulty in establishing simple models of peptide behavior. Harmeier et al. suggest that the data illustrate how the Gly33 substitution “further enhances the stability of the folding nucleus around this lysine residue with the turn region (Lazo et al., 2005; Grant et al., 2007)” (3,4). However, the data also could be interpreted to show that while substitution at Gly29 decreases turn stability, homologous substitution at Gly33 does not affect turn stability per se but rather facilitates peptide monomer self-association, which itself sequesters the Lys28 peptide bond, a bond that otherwise would be just as labile as it is within Aβ42.

    With respect to efforts to elucidate atomic-resolution characteristics of the system, one must suggest caution in the use of computational modeling of substituted Aβ42 peptides, especially when they involve framework structures from fibrils. There is no reason, a priori, to assume that identical structures exist within monomers, oligomers, and fibrils. In fact, much evidence exists that substantial conformational change occurs in the monomer→oligomer, oligomer→protofibril, and even the nascent fibril→mature fibril transitions. Simulations of monomer conformational dynamics and early oligomerization steps reveal a constellation of structures without a predominant conformer. This is a critical observation, one that must be kept in mind when considering Aβ assembly—the Aβ system should be considered a statistical distribution, not a linear assembly pathway. The authors’ modeling may be correct, but experimental confirmation of the ideas is necessary.

    The “activity” portion of the structure-activity analyses was very compelling. The authors show clearly that the Gly33 “mutants” have diminished, or no, toxic activity in assays on SH-SY5Y neuroblastoma cells, primary hippocampal neurons, LTP, and Drosophila eye development. These data were beautiful! Now comes interpretation.

    Is Gly33 “the key amino acid in the toxic activity of Aβ”? How does one know unless the substitution strategy executed by the authors is applied to each amino acid in Aβ? If Gly33 is the key amino acid, why is its activity, both with respect to conformational dynamics and toxicity, altered significantly by sister substitutions at Gly29? I bet one triple Americano at Starbucks (very meaningful to this commentator) that if these experiments are done, an interesting distribution of conformational and toxicity effects will be observed. Gly33 will not be the sole site at which structural changes produce large effects. Rather, this amino acid will be one of a number that have the potential to affect both assembly and toxicity.

    A distribution of toxic activity versus oligomer order also is expected. Harmeier et al. argue that among “different SEC fractions, tetramers of Aβ42 WT [and [Gly29Ala]Aβ42] exhibit the highest toxicity.” In part, these conclusions are based on Western blots of SEC fractions. This technique does not provide accurate assessments of oligomer state within a population of non-covalently associated assemblies (5). The SEC itself, especially for assemblies larger than dimer, cannot produce pure oligomer populations (e.g., see Fig. S1) and the toxicities of oligomers of different orders sometimes were similar, depending on the assay (MTT, MTS, or Live-Dead). The determination of “the most toxic” Aβ oligomer, akin to the “most infectious prion” oligomer (6), thus remains an open question.

    Moot is also the notion that “aggregation of Aβ42 peptides is uncoupled from toxicity.” My bet (the same as above) is that some oligomers will be toxic and others will not. Why? Because one must consider in great detail the question of structure-activity. A change of a single atom in Aβ, e.g., as in the Iowa Asp23Asn substitution that replaces an oxygen atom with a nitrogen atom, can cause disease (in this case, the Iowa form of cerebral amyloid angiopathy). However, other substitutions have little or no effects. Does one say, based on the latter observation, that primary structure is uncoupled from effect? I think not. Rather, one must consider each change, and the effects of that change, on an ad hoc basis.

    Finally, no evidence exists for Aβ “strains.” Strains are microbiological constructs that have to do with organismal characteristics that are perpetuated during organism replication. Although used appropriately in the prion case, no evidence exists for the existence of strains in AD.

    In conclusion, the work of Harmeier et al. should stimulate the field to dig deeper into what may be the Holy Grail of AD research, the determination of the frequency distributions of oligomer order and toxicity. Through this process, it is hoped that key therapeutic targets can be identified.


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    View all comments by David Teplow
  6. Two New Articles Use Synthetic Aβ to Study Oligomerization
    The first article by Bernstein et al. uses ion mobility coupled with mass spectrometry to study how Aβ40 and Aβ42 oligomerize in vitro. The measurements of arrival time distributions show that Aβ40 oligomers are restricted to low-n species (i.e., dimers and tetramers) while Aβ42-derived oligomers self-assemble into two additional structures, hexamers and dodecamers. The collision cross-sections for each Aβ42 oligomer led them to propose that Aβ42 tetramers are folded in an open structure able to accept one additional dimer to form hexamers, and that Aβ42 hexamers form a planar hexagon which can then stack with one more hexamer to create the largest oligomeric assembly, Aβ42 dodecamers (whose estimated mass was 55.2 kDa).

    These new findings complement the observations reported by our group in Tg2576 APP transgenic mice (Lesne et al., 2006). We identified and isolated a putative dodecameric Aβ assembly, Aβ*56, a ~56 kDa assembly that correlates with memory dysfunction in Tg2576 and J20 mice (Lesne et al., 2006; Cheng et al., 2007), and disrupts memory consolidation when applied to young, healthy rats. Although we found putative hexamers migrating at ~27 kDa on SDS-PAGE (also confirmed by non-denaturing SEC) preceding the age at which Aβ*56 appears, we found trimers but no dimers or tetramers in the brains of these “middle-aged” mice (6-11 months), and therefore proposed that trimers, not dimers or tetramers, are the basic building block of hexamers and Aβ*56. In vitro analyses performed on Tg2576 primary neurons supported trimers as the basic unit synthesized within neurons (Lesne et al., 2006; Supplementary data). Not until the mice were “old” (>13 months) and showed dense-core plaques did tetramers and dimers appear, suggesting an alternate pathway leading to Aβ fibrils that uses dimers as the principle building element.

    Another element of similarity between our two studies is the observation that, in both cases, endogenous Aβ*56 and in vitro Aβ dodecamers are the terminal soluble species.

    Bernstein et al. begin to address the quaternary structure of Aβ oligomers. However, until the quaternary structures of endogenous Aβ oligomers can be ascertained, we cannot know whether the pathways leading to Aβ oligomerization in vitro result in the same structures as those leading to oligomers in vivo. Hopefully, the same methodologies applied to synthetic Aβ oligomers can soon be utilized to examine purified endogenous Aβ oligomers, in order to answer this question.

    The second article by Harmeier et al. reports the role of Aβ glycine 33 in oligomerization, toxicity and neuronal plasticity. These authors show that single residue substitutions at position 33 (G33A or G33I) drastically affect Aβ oligomerization, resulting in increased high-n oligomers (10-, 16- and 20-mers) at the expense of the low-n Aβ species, dimers and tetramers. Using MS/MS spectrometry analyses, the authors demonstrate that the subtle folding change induced by G33A/G33I alters the intermolecular peptide interactions which control the assembly of Aβ to form larger Aβ oligomers. With these artificially created peptides favoring high-ordered Aβ42 oligomers, the authors then performed toxicity assays of the respective oligomers separated by size exclusion chromatography using neuronal cell lines and 10-day-old primary neurons, and generated transgenic drosophila expressing the various glycine 33 variants. They also examined how well the different glycine 33 mutants inhibited LTP. All results point to tetramers inducing cell death and inhibiting LTP more effectively than high-n oligomers.

    Based upon our earlier conclusion, that fibrils and plaques are derived from dimers, this work may be more relevant to the plaque / fibril pathway than to the Aβ*56 pathway. It is noteworthy that Tg2576 mice and J20 mice producing Aβ*56 for nearly a lifetime do not develop neuronal loss, indicating that Aβ*56 does not induce neurotoxicity leading to cell death, unlike the low-n species studied here.

    In summary, the diversity of Aβ-induced effects suggest that multiple oligomeric Aβ species trigger specific mechanisms at different stages of AD. We believe that Aβ*56 initiates AD pathogenesis, perhaps during the asymptomatic or pre-dementia phase of disease. In contrast, low-n oligomers, associated with dense core plaques, may play a role in the progression of AD at later stages.


    . A specific amyloid-beta protein assembly in the brain impairs memory. Nature. 2006 Mar 16;440(7082):352-7. PubMed.

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News Citations

  1. Aβ Star is Born? Memory Loss in APP Mice Blamed on Oligomer
  2. Paper Alert: Patient Aβ Dimers Impair Plasticity, Memory

Paper Citations

  1. . Amyloid beta-protein: monomer structure and early aggregation states of Abeta42 and its Pro19 alloform. J Am Chem Soc. 2005 Feb 23;127(7):2075-84. PubMed.
  2. . A molecular switch in amyloid assembly: Met35 and amyloid beta-protein oligomerization. J Am Chem Soc. 2003 Dec 17;125(50):15359-65. PubMed.
  3. . A specific amyloid-beta protein assembly in the brain impairs memory. Nature. 2006 Mar 16;440(7082):352-7. PubMed.
  4. . Amyloid-beta protein dimers isolated directly from Alzheimer's brains impair synaptic plasticity and memory. Nat Med. 2008 Aug;14(8):837-42. PubMed.
  5. . Amyloid beta protein: Abeta40 inhibits Abeta42 oligomerization. J Am Chem Soc. 2009 May 13;131(18):6316-7. PubMed.
  6. . Abeta40 inhibits amyloid deposition in vivo. J Neurosci. 2007 Jan 17;27(3):627-33. PubMed.

Further Reading

Primary Papers

  1. . Role of amyloid-beta glycine 33 in oligomerization, toxicity, and neuronal plasticity. J Neurosci. 2009 Jun 10;29(23):7582-90. PubMed.
  2. . Amyloid-beta protein oligomerization and the importance of tetramers and dodecamers in the aetiology of Alzheimer's disease. Nature Chemistry. 2009 July 1;1(4):326-331.
  3. . Bioanalytical chemistry: Protein oligomers frozen in time. Nature Chemistry. 2009 July 1;1(4):257-258.