DOI:
10.1039/D5SC05593H
(Edge Article)
Chem. Sci., 2025,
16, 20914-20923
Photoactivatable Ru(II) polypyridyl complexes as dual action modulators of amyloid-beta peptide aggregation and Cu redox cycling
Received
25th July 2025
, Accepted 26th September 2025
First published on 1st October 2025
Abstract
The misfolding and aggregation of the amyloid-β (Aβ) peptide is a major hallmark of Alzheimer's disease (AD), yet therapeutic strategies targeting this process have faced long-standing challenges related to efficacy and specificity. Here, we investigate two photoactivatable Ru(II) polypyridyl complexes (RuP) that operate as dual-action modulators of AD pathology by addressing both Aβ aggregation and Cu-Aβ associated ROS generation. The RuP contain an extended planar imidazo[4,5-f] [1,10]phenanthroline ligand, which is important for pre-association with the Aβ peptide via hydrophobic and π–π interactions, as well as sterically hindered ligands 6,6′-dimethyl-2,2′-bipyridyl (6,6′-dmb) for RuP1 and 2,9-dimethyl-1,10-phenanthroline (2,9-dmp) for RuP2, which cause steric strain at the metal center. Photoactivation of the RuP results in loss of either a 6,6′-dmb or 2,9-dmp ligand exposing cis-exchangeable coordination sites for binding to the Aβ peptide, which immediately redirects the Aβ peptide away from its β-sheet-rich fibrillization pathway, promoting the formation of amorphous, off-pathway aggregates that exhibit increased sensitivity to proteolytic degradation. We find that the photoactivated RuP are closely associated with the amorphous aggregates, and that this is a common endpoint regardless of Aβ peptide aggregation state (monomer, oligomer, or fibril). Importantly, we show that the ejected ligands also inhibit the redox cycling and ROS generation of Cu-Aβ species. Together, these results highlight the potential of photoactivatable RuP as multifunctional therapeutic candidates, offering a rational approach to intercepting Aβ aggregation and Cu-mediated oxidative stress, and advancing the design of light-responsive treatments for neurodegenerative diseases.
Introduction
Dementia is a clinical syndrome marked by memory loss and significant cognitive decline, severely impairing an individual's ability to live independently.1,2 Alzheimer's disease (AD) accounts for 60–80% of these cases, making it the most prevalent progressive neurodegenerative disorder and the fifth leading cause of death among individuals aged 65 or older. The global burden of AD is anticipated to rise sharply due to increasing life expectancy.3
While the cause of AD continues to be investigated, its hallmark pathologies (i.e., oxidative stress, tau protein aggregation, and amyloid-beta (Aβ) accumulation) have long been established.4,5 The amyloid hypothesis, proposed more than three decades ago, suggests that Aβ aggregation triggers a neurotoxic cascade.6,7 Aβ peptides arise from the proteolytic processing of the amyloid precursor protein (APP) and range from 38–43 residues in length. Aβ1–40 is the most abundant isoform (∼90%), while Aβ1–42 (∼9%) is highly prone to aggregation and considered the most neurotoxic.8–12 The self-assembly of Aβ into oligomers and fibrils disrupts synaptic connections, leading to neuronal loss and ultimately cell death.13–18 Although a number of drugs have been approved for AD treatment,19–21 these therapies do not halt or reverse disease progression. At best, they offer temporary symptomatic relief or modestly slow cognitive decline, highlighting the urgent need for effective disease-modifying treatments. The recent FDA-approval of monoclonal antibodies targeting Aβ peptide aggregation22,23 has highlighted the importance of the amyloid hypothesis and renewed interest in the development of small molecule agents that target this pathway.24
Oxidative stress is prevalent in AD, with early pathological changes indicative of oxidative damage.25 This oxidative stress is linked to a number of factors, including impaired energy metabolism, and redox-cycling of metal ions (Fe, Cu) in metal-containing Aβ peptide aggregates.26–29 Aβ plaques have been shown to contain increased concentrations of CuII (0.4 mM), FeIII (0.9 mM), and ZnII (1 mM), in comparison to normal tissue,12,30,31 and metal ion binding can modify the aggregation pattern, and initiate the production of reactive oxygen species (ROS).32–34 For example, studies have shown that CuII has a high affinity for the Aβ peptide (Kd ∼ 10−10 M),35,36 and Cu-Aβ species promote toxic catalytic ROS production by reducing O2 and generating the superoxide anion (O2˙−), hydrogen peroxide (H2O2), and hydroxyl radical (˙OH) via Fenton-like chemistry.37–41 As such, targeting this interaction by either disrupting metal–Aβ binding or by sequestering dysregulated metal ions is an attractive therapeutic approach.42,43
Given the complexity of AD, there is growing interest in therapeutic agents that address multiple pathological features simultaneously. In one such approach, multifunctional metal complexes that both interfere with Aβ aggregation and target an additional hallmark of the disease have gained attention.32,42–51 Studies involving PtII, RhIII and IrIII complexes have revealed that covalent binding combined with non-covalent π–π interactions, facilitated by ligands such as 2,2′-bipyridine and 1,10-phenanthroline, that can promote pre-association of the metal complex with Aβ, a mechanism that may overcome specificity limitations observed in other AD therapies.52–58
Light-responsive inorganic complexes have emerged as an intriguing approach for both monitoring and inhibiting Aβ aggregation, offering spatiotemporal control and minimal invasiveness.57,59–66 Ruthenium polypyridyl (RuP) complexes have received considerable attention, and have been successfully applied across DNA intercalation, solar energy conversion, photodynamic therapy, and protein binding due to their favourable photophysical, electronic, and biological properties.67–71 In the context of AD, RuP can be tailored to favour specific interactions with Aβ upon photoactivation, such as monitoring aggregation and the formation of specific aggregate morphologies,72 facilitating peptide oxidation via1O2 generation, and promoting covalent binding through ligand dissociation.73,74
Herein, we investigate two photoactivatable RuP and their effects on Aβ aggregation and Cu redox cycling (Fig. 1). RuP1 and RuP2 were chosen for this study as they feature extended planar phenanthroline ligands that can facilitate pre-association interactions with Aβ,72,74,75 and 6,6′-dimethyl-2,2′-bipyridyl (6,6′-dmb) (RuP1) and 2,9-dimethyl-1,10-phenanthroline (2,9-dmp) for (RuP2) ligands that induce steric strain at the metal centre to promote ligand ejection when photoactivated. The photo-ejected ligands are hypothesized to provide further benefit by binding to Cu and Cu-Aβ species thereby limiting Cu-associated ROS generation. Such sterically encumbered bidentate ligands have shown utility in restricting CuII/CuI redox processes when two such ligands are bound to Cu in a tetracoordinate manner.76–78 We show that photoactivation of RuP results in immediate changes to the Aβ aggregation process, forming more easily degraded amorphous aggregates, while the photo-ejected ligands provide additional benefit by limiting Cu-associated ROS generation.
 |
| | Fig. 1 Photoactivatable RuP complexes used in this study. Photoactivation leads to selective ligand dissociation of 6,6′-dmb (RuP1) or 2,9-dmp (RuP2) to unmask exchangeable coordination sites for Aβ binding. Extended phenanthroline ligands are highlighted for their enhanced pre-association interactions. Released 6,6′-dmb or 2,9-dmp can interact with dysregulated metal ions (Fe, Cu, Zn) limiting Cu-Aβ associated ROS generation. | |
Results and discussion
Photoactivation of RuP
In this study, RuP1 and RuP2 were chosen as they have previously been shown to dissociate one 6,6′-dmb or 2,9-dmp ligand respectively upon photoactivation (Fig. 1) due to the methyl groups that crowd the coordination sphere and distort the pseudo-octahedral geometry, thereby lowering the energy of the 3MC state and favouring relaxation via ligand dissociation.68,71,73,79–81 In addition, the planar aromatic phenanthroline ligands are known to exhibit a high affinity for amyloid aggregates,60,72,82,83 suggesting that RuP1 and RuP2 could be promising candidates for influencing the Aβ peptide aggregation pathway. In our previous work, a ruthenium complex bearing two 6,6′-dmb ligands and one bipyridine ligand, did not significantly modulate Aβ aggregation, which was attributed to its lack of extended hydrophobic ligands that can provide an enhanced interaction with Aβ.74 Finally, RuP1 and RuP2 exhibit limited toxicity under dark normoxic conditions (EC50 = 24.8 μM (RuP1) and EC50 = 185 μM (RuP2) in SK-MEL-28 cells).84,85 In addition, the stability of unactivated RuP1 and RuP2 under physiological conditions was confirmed by UV-vis spectroscopy, with no spectral changes observed after 24 h, indicating that the complexes remain intact in the absence of light (Fig. S1). We thus endeavoured to study how photoactivation of RuP1 and RuP2 influences the interaction of these complexes with the Aβ peptide and how this affects the peptide aggregation process.
Upon visible-light exposure, endpoints for ligand dissociation are reached at 43 J cm−2 for RuP1, and 101 J cm−2 for RuP2 (Fig. S3). The faster ejection of the 6,6′-dmb ligand from RuP1 is attributed to the greater flexibility of the bipyridine backbone as compared to 2,9-dmp ligand of RuP2, and the stronger σ-donation and π-accepting properties of the 2,9-dmp ligand. In both complexes, photoactivation selectively ejects the strain-inducing dimethyl-substituted bipyridine or phenanthroline ligand, affording readily exchangeable coordination sites for Aβ peptide binding (Fig. S4 and S5).
To investigate binding, ESI-MS studies were performed with a 1
:
1 ratio of RuP and Aβ1–16, a hydrophilic peptide containing key metal-binding residues His6/13/14, which is less prone to aggregation allowing for clearer interpretation of binding interactions. In the absence of light, no adducts were observed, and only peaks for the intact RuP complexes and Aβ1–16 were detected (Fig. S6 and S7). However, upon photoactivation ESI-MS revealed Ru-Aβ1–16 adducts at m/z = 521.00 ([RuP1-Aβ1–16]5+) and m/z = 514.19 ([RuP2-Aβ1–16]5+) (Fig. 2, S8 and S9), with the calculated isotopic patterns confirming loss of the 6,6′-dmb and 2,9-dmp ligands and subsequent binding to Aβ1–16, showing that adduct formation occurs exclusively upon photoactivation.
 |
| | Fig. 2 (A) UV-vis absorption spectra of RuP1 before (black) and after light activation conditions (grey) until an endpoint was reached (red). Conditions: RuP1 25 μM, PBS (0.01 M, pH 7.4), SOLLA 30 W LED at an irradiance of 48 mW cm−2. Inset: Absorbance change at 473 nm over time showing an endpoint for ligand release at 15 min for RuP1. (B) ESI-MS of Aβ1–16 (200 μM) in the presence of 1 equiv. of photoactivated RuP1 in NH4CO3 buffer (pH 9.0). Inset: Calculated isotopic pattern of RuP1-Aβ1–16 adduct in red. | |
Influence of RuP on Aβ peptide aggregation
Due to the evidence of photo-induced adduct formation revealed by ESI-MS, we next investigated the influence of RuP on the Aβ peptide aggregation pathway. The Aβ1–42 peptide was chosen for these studies due to its high propensity to aggregate and toxicity.8–12 Although similar Ru polypyridyl complexes with extended planar hydrophobic ligands have been shown to exhibit noncovalent interactions with the Aβ peptide60,72,82,83 and, in some cases, influence its aggregation pathway,86,87RuP (25 μM) did not significantly alter the aggregation pattern of the Aβ1–42 peptide in the dark relative to the peptide alone after a 24 h incubation at 37 °C (Fig. S10) according to a light scattering turbidity assay. We next examined the influence of RuP on Aβ1–42 aggregation using gel electrophoresis and western blotting. At 0 h, Aβ1–42 (25 μM) was primarily present as monomers and dimers (low MW species), with higher MW species appearing after 24 h, consistent with prior reports (Fig. 3A).88–90 The addition of 1 equiv. unactivated RuP caused minimal changes, in agreement with turbidity results (Fig. 3 and S10). In contrast, photoactivation of RuP1 and RuP2 caused an immediate shift in the Aβ1–42 aggregation pathway from monomers/dimers to high MW aggregates (Lane 2, Fig. 3A), bypassing the intermediate oligomers (10–100 kDa) that have been associated with significant toxicity.16,17 Notably, these high MW species remained largely unchanged over the 24 h time course (Lane 4), indicating that photoactivation of RuP results in an immediate and lasting effect on Aβ1–42 aggregation. Interestingly, this effect is not observed when RuP is photoactivated before incubation with Aβ1–42 (Fig. S11), suggesting that RuP-Aβ pre-association is an important factor in the observed aggregation results. Finally, we investigated if the free ligands alone (that would be present upon photoejection) could influence Aβ aggregation, however, western blot analysis at 0 h and 24 h confirmed no observable effect on the peptide aggregation process (Fig. S12).
 |
| | Fig. 3 (A) Western blot of 25 μM Aβ1–42 in the absence and presence of 1 equiv. of RuP in PBS (0.01 M, pH 7.4) at incubation times 0 h and 24 h. Lane 1: 0 h unactivated, lane 2: 0 h photoactivated, lane 3: 24 h unactivated, lane 4: 24 h photoactivated. (B) BCA assay of 25 μM Aβ1–42 and 1 equiv. of RuP in PBS (0.01 M, pH 7.4) at incubation times 0 h with (grey) and without (black) photoactivation and 24 h with (blue) and without (red) photoactivation. Absorbance was measured at 562 nm. | |
To further investigate the impact of RuP photoactivation on Aβ1–42 solubility, a bicinchoninic acid (BCA) assay was performed. Prior to measurement, the samples were centrifuged (14
000g, 5 min) to remove insoluble aggregates.91 The results reveal a ca. 40% reduction in soluble Aβ1–42 after a 24 h incubation time (Fig. 3B), for both peptide alone and for peptide in the presence of 1 equiv. unactivated RuP. Notably, immediately after photoactivation there is a >55% decrease in peptide solubility for both RuP1 and RuP2, which agrees with the formation of large MW aggregates observed in the gel experiment (Fig. 3A). No further decrease in the solubility of the peptide takes place after 24 h, suggesting that photoactivation coincides with peptide aggregation/precipitation, with minimal changes occurring after further incubation. Overall, the gel electrophoresis/western blotting experiments align with the BCA assay results, confirming that photoactivation of RuP rapidly redirects Aβ1–42 aggregation toward insoluble, high molecular weight species.
While gel electrophoresis and western blotting provides information on soluble high MW Aβ1–42 aggregates, transmission electron microscopy (TEM) can be used to characterize larger insoluble Aβ1–42 aggregates, that are not able to efficiently penetrate the gel matrix. The combination of these methods provides a more comprehensive understanding of the Aβ1–42 aggregation pathway under our conditions. As expected for the Aβ1–42 sample at 0 h, regardless of photoactivation, no aggregates were observed (Fig. 4). Similarly, in the presence of 1 equiv. unactivated RuP there was no change observed at 0 h. Interestingly, in the presence of 1 equiv. photoactivated RuP at the 0 h timepoint, diffuse amorphous aggregates are observed. Incubation of Aβ1–42 alone for 96 h led to the formation of large β-sheet rich fibrillar species, agreeing with previous reports (Fig. 4).74,92 After 96 hours, Aβ1–42 incubated with 1 equiv. of photoactivated RuP remains as amorphous aggregates, indicating that their immediate formation represents a stable endpoint in the aggregation pathway as they do not rearrange into ordered fibrillar structures (Fig. 4). The TEM data is consistent with the gel electrophoresis experiments, revealing that photoactivation of RuP immediately promotes the formation of diffuse amorphous aggregates, modulating the known aggregation pathway which produces mature β-sheet fibrils.
 |
| | Fig. 4 TEM images of 25 μM Aβ1–42 alone and in the presence 1 equiv. of RuP1 and RuP2 at 0 h unactivated, 0 h activated and 96 h activated. Scale bar = 200 nm. | |
We also investigated if photoactivated RuP could change the aggregation profile of intermediate MW species, including toxic oligomers.16,17 Aβ1–42 aggregation after 16 h at 4 °C with constant agitation revealed a range of species such as monomers, dimers, trimers, and higher molecular weight aggregates (Fig. S13). Upon RuP photoactivation, high molecular weight species exclusively formed, identified by TEM as amorphous aggregates (Fig. S14). This closely parallels results observed with monomeric Aβ1–42 (above) indicating that ligand ejection and binding direct aggregation toward amorphous, off-pathway species, bypassing the toxic oligomeric stage regardless of when they are introduced.
To further characterize the amorphous aggregates formed after photoactivation of RuP in the presence of Aβ1–42, we used high-resolution TEM coupled with Energy-Dispersive X-ray Spectroscopy (EDX) to analyze their structure and elemental composition. This approach allowed us to map Ru within the aggregates, providing further insight into the role of RuP in modulating Aβ1–42 aggregation and aggregate morphology. As expected, Aβ1–42 alone showed no Ru content in fibrils after 96 h (Fig. 5). In the presence of 1 equiv. unactivated RuP, Ru was dispersed over the sample grid and not closely associated with the peptide aggregate (Fig. S15). In contrast, photoactivated RuP show significant overlap of the Ru signal and the amorphous aggregates, with RuP1 showing the most pronounced effect. These results indicate a close association of the photoactivated complexes with the amorphous aggregates, providing further insight into how RuP binding to Aβ1–42 influences both the Aβ1–42 peptide aggregation pathway and resulting aggregate morphology.
 |
| | Fig. 5 High-angle annular dark field (HAADF) STEM & EDX of 25 μM Aβ1–42 alone and in the presence of 1 equiv. of photoactivated RuP and then incubated for 96 h. Red box represents the area used for elemental mapping of Ru. Scale bar = 200 nm. | |
Interaction of RuP with Aβ peptide fibrils
To investigate potential RuP interactions with Aβ1–42 fibrils, molecular docking was performed using PDB structures 5OQV93 and 2MXU,94 representing single- and double-symmetry fibril surfaces, respectively. The 2MXU structure, with its hydrophobic cleft and 12 β-strand filaments, offers extensive surface area but lacks the Aβ1–10 region, which is present in the shorter 5-strand 5OQV fibril. Using both structures allowed a more comprehensive analysis of RuP binding modes (Fig. 6, S16–S18). Docking studies revealed multiple potential binding sites, with RuP1 and RuP2 displaying comparable binding scores across both PDB structures (Tables S1–S4). The diversity of binding sites are likely of moderate affinity, as EDX analysis showed minimal interaction between unactivated RuP and the Aβ1–42 peptide, as indicated by the uniform distribution of Ru across the sample grid (Fig. S15). A representative binding mode for both RuP1 and RuP2 on 2MXU involves interactions with His14 residues, suggesting close association with a key metal-ion binding site (Fig. 6A and S18), with significant interactions between the hydrophobic extended phenanthroline ligand and the Aβ1–42 fibrils. The presence of several accessible binding sites may facilitate enhanced covalent binding upon photoactivation.
 |
| | Fig. 6 (A) Molecular docking of a representative binding mode of unactivated RuP1 to PDB structure 2MXU identifying potential interactions with specific amino acids Val12, His14, Ile32, Leu34. (B) The nine most stable binding modes of unactivated RuP1 to PDB structure 2MXU. | |
To investigate if the RuP can change the morphology of Aβ1–42 fibrils, we incubated pre-formed fibrils with unactivated and activated RuP and investigated for structural changes by TEM. In the presence of 1 equiv. of unactivated RuP structured aggregates were maintained. Remarkably, in the presence of 1 equiv. of either photoactivated RuP1 or RuP2, an immediate morphology change from structured fibrillar aggregates to amorphous aggregates are observed (Fig. 7). This once again reinforces that photoactivation is required to observe a change in morphology of the Aβ peptide, and in addition highlights that amorphous aggregates are a common endpoint regardless of where photoactivated RuP is introduced along the Aβ peptide aggregation pathway.
 |
| | Fig. 7 Influence of 1 equiv. of RuP1 and RuP2 on the morphology of pre-formed Aβ1–42 fibrils (25 μM) before and immediately after photoactivation using TEM. Scale bar = 200 nm. | |
The Aβ peptide is cleared from the brain through enzymatic degradation, transport across the blood–brain barrier, and bulk flow of interstitial and cerebrospinal fluid.95 Importantly, the structure of the Aβ aggregate influences both their pathogenicity and their susceptibility to clearance mechanisms, with certain species, like ordered fibrils, being resistant to proteolysis,96 while amorphous aggregates have been reported to be more easily degraded and generally associated with lower pathogenicity compared to β-sheet-rich fibrils.91,94,97,98 This suggests that altering the aggregation pathway to favour amorphous species, as achieved with photoactivated RuP, could be a promising therapeutic approach. However, our EDX results show significant incorporation of the RuP complexes into the Aβ aggregates, which may inhibit enzymatic degradation. To assess the susceptibility to enzymatic degradation of the amorphous aggregates formed with photoactivated RuP, we performed a proteinase-K (PK) assay,99,100 after incubating Aβ1–42 (25 μM) alone, or with 1 equiv. photoactivated RuP1 or RuP2 for 96 h followed by addition of PK (5 μM). In the absence of PK, no notable differences were observed between Aβ1–42 and RuP treated samples, as expected. However, when PK was added, immunodot blot analysis revealed a marked loss of signal for the amorphous aggregates generated by photoactivated RuP1 and RuP2, indicating increased protease sensitivity (Fig. 8A), despite the presence of significant photoactivated RuP in the sample as indicated by EDX (Fig. 5). Integrated density quantification confirmed that both RuP1 and RuP2 induced amorphous aggregates were similarly susceptible to PK degradation, supporting their enhanced clearance potential. The assay was also applied to pre-formed Aβ1–42 fibrils (96 h), where samples of fibrils alone were treated with PK, and fibrils incubated with 1 equiv. RuP underwent photoactivation followed by PK treatment (Fig. 8B). Consistent with earlier findings, increased protease sensitivity was observed, indicating that the amorphous aggregates formed upon RuP photoactivation, regardless of the initial aggregation state, are more susceptible to proteinase K degradation. Notably, enzymatic degradation was not inhibited by the presence of RuP, which is advantageous for therapeutic strategies aimed at facilitating the clearance of pathogenic aggregates.
 |
| | Fig. 8 (A) Proteinase-K immunodot blot assay of Aβ1–42 alone (25 μM) after 96 h and in the presence of 1 equiv. photoactivated RuP, with and without proteinase-K (5 μM) (top) using 6E10 antibody. Signal response plotted by integrated density using Image J software (bottom). (B) Proteinase K immunodot blot assay of Aβ1–42 (25 μM) pre-aggregated for 96 h, followed by addition of 1 equiv. photoactivated RuP with and without proteinase (5 μM). Signal detected and quantified as in (A). | |
Ligand photoejection inhibits Cu-Aβ associated ROS generation
Cu-Aβ species are known to produce ROS, including the superoxide anion, hydrogen peroxide, and the hydroxyl radical, and such ROS generation is proposed to be a major contributor to the toxicity of Aβ aggregates.39,40,45,101,102 Previous research has shown that the bipyridine ligand scaffold can inhibit Aβ peptide aggregation in the presence of Cu and Zn ions,103 and limit Cu-Aβ toxicity in cell lines.104,105 Additional research on the phenanthroline ligand scaffold has shown its utility in inhibiting the toxicity of Cu/Zn-Aβ species and reduce the amyloid burden in a mouse model.106,107 Herein, we aimed to understand if the photoejected ligands (6,6′-dmb and 2,9-dmp, Fig. 1) could limit the redox cycling and ROS generation of Cu-Aβ species, providing an additional mechanism of action for the RuP.
ESI-MS was initially used to assess whether the photo-ejected ligands could compete with the Aβ peptide for Cu. As expected, incubation of unactivated RuP with pre-formed Cu-Aβ1–16 did not show any ligand release or Cu complexation by 6,6′-dmb or 2,9-dmp (Fig. S19 and S20). However, upon photoactivation, Cu adducts [Cu(6,6′-dmb)2]+ (m/z = 431.14) for RuP1 and [Cu(2,9-dmp)2]+ (m/z = 479.13) for RuP2 were identified (Fig. S21 and S22).
To evaluate the impact of photoactivated RuP on Cu-Aβ redox cycling and ROS generation, we first monitored ascorbate (Asc) oxidation by measuring the decay of its absorbance band at 265 nm.108 Asc remained stable over 15 min, but upon addition of CuII-Aβ1–16 at the 1 min timepoint, Asc consumption is evident (Fig. 9). Interestingly, upon subsequent addition of 0.5–1.5 equiv. of 6,6′-dmb (Fig. S23 for 2,9-dmp) at the 3 min timepoint results in little to no effect on Asc consumption. However, the addition of two equiv. of 6,6′-dmb to the CuII-Aβ1–16 reaction solution immediately halted the ascorbate oxidation process, indicating that two equiv. of the ligand is required to suppress CuII/CuI redox activity via chelation and/or ternary complex formation. In addition, 2 equiv. of ligand is needed to inhibit Asc oxidation in the case of Cu alone (Fig. S24), which is consistent with restricted CuII/CuI redox cycling when two sterically-hindered bidentate ligands (such as 6,6′-dmb) are coordinated to the Cu centre.76–78
 |
| | Fig. 9 Ascorbate consumption assay measuring absorbance at 265 nm of ascorbate alone (black), and upon addition of Cu-Aβ1–16 (red) at 1 min (---), followed by addition of 0.5 (green), 1.0 (orange), 1.5 (blue) and 2.0 (purple) equivalents of 6,6′-dmb at 3 min (---). Conditions: [Asc] = 200 μM, [CuCl2] = 25 μM, [6,6′-dmb] = 12.5–50 μM, [Aβ1–16] = 25 μM, PBS (0.01 M, pH 7.4). | |
To confirm that this effect translates to inhibiting ROS generation, a 3-coumarin carboxylic acid (CCA) assay was performed (Fig. 10A). The CCA assay detects the formation of the ˙OH radical from the reaction of CuI with H2O2via the reaction of 3-coumarin carboxylic acid (3-CCA) with ˙OH to form the fluorescent 7-hydroxy-3-coumarin-carboxylic acid (7-OH-3-CCA).109 Consistent with previous reports,29 ˙OH production in the presence of CuII is rapid, with a lower but still significant response for CuII-Aβ (Fig. 10A). Addition of 2 equiv. of 6,6′-dmb or 2,9-dmp to CuII-Aβ completely abolishes ˙OH production, suggesting that the photoejected ligands suppress this form of ROS generation (Fig. 10A and S25A). Addition of RuP to the CCA assay resulted in interference, therefore we monitored the conversion of CCA to 7-OH-3-CCA by HPLC. HPLC analysis of the CCA reaction ([CCA] = 200 μM) revealed that unactivated RuP does not suppress ROS generation indicated by the presence of 85 ± 3 μM of CCA and 109 ± 3 μM of 7-OH-3-CCA for RuP1 and 73 ± 5 μM of CCA and 118 ± 2 μM of 7-OH-3-CCA for RuP2. Importantly, in the presence of the photoactivated RuP, no 7-OH-3-CCA is observed, with only unreacted CCA detected by HPLC, indicating that ligand release is required to effectively suppress this form of Cu-catalyzed ROS generation (Fig. 10B, S25B, S26–S32, Tables S5 and S6). The HPLC analysis agrees with what is observed by fluorescence measurements with the respective ligands, 6,6′-dmb (RuP1) and 2,9-dmp (RuP2). Together these results highlight that photoactivated ligand release from both RuP1 and RuP2 complexes can provide additional benefit via suppressing Cu-Aβ redox cycling and ROS generation.
 |
| | Fig. 10 (A) CCA assay for ˙OH detection measured by fluorescence, λex = 390 nm and λem = 450 nm. (B) HPLC of CCA assay in the presence of RuP1 unactivated (black) and activated (red) in PBS (0.01 M, pH 7.4). Conditions: [Asc] = 200 μM, [CCA] = 200 μM, [CuCl2] = 25 μM, [RuP1 or 6,6′-dmb] = 50 μM, [Aβ1–16] = 25 μM. | |
Summary
This study demonstrates the potential of photoactivatable RuP as dual-action modulators of Aβ aggregation and Cu-induced oxidative stress, addressing two central hallmarks of Alzheimer's disease. Upon light activation, RuP complexes release sterically encumbered bidentate ligands, unmasking exchangeable coordination sites on the Ru center for binding to the Aβ peptide, and thereby modulating its aggregation pathway. RuP photoactivation results in the rapid and consistent formation of amorphous aggregates across all stages of Aβ assembly (monomers, oligomers, and fibrils), as confirmed by turbidity, gel electrophoresis, and TEM. A BCA assay revealed that the amorphous aggregates have reduced solubility, and EDX analysis showed significant integration of the photoactivated RuP into these amorphous aggregates. Proteinase-K assays established that these aggregates have increased susceptibility to proteolytic degradation, suggesting improved clearance when compared to more structured β-sheet fibrils. Concurrently, the photo-released ligands (6,6′-dmb, 2,9-dmp) inhibit Cu-associated ROS generation. ESI-MS confirmed that the ligands can compete with the Aβ peptide for Cu ions, while an ascorbate oxidation assay demonstrated that the ligands inhibit CuII/CuI redox cycling. Further, a CCA assay showed that the photoactivated RuP, and photoejected ligands, halt the production of hydroxyl radicals. Taken together, these results reveal that photoactivation of RuP simultaneously redirects Aβ aggregation toward amorphous, off-pathway aggregates and inhibits Cu-mediated ROS generation. While these findings underscore the promise of RuP, it should be noted that competition from abundant serum proteins (e.g., albumin) could influence binding profiles in vivo, and this consideration will be important for future translation. Overall, the dual activity shown herein highlights the potential of RuP as versatile phototherapeutic agents for managing protein aggregation and metal-induced oxidative stress in neurodegenerative diseases. In the future, we intend to expand this approach to other aggregation-prone proteins, aiming for a broad, multifaceted strategy against protein aggregation pathologies.
Author contributions
GL, SAM, and TS designed the research project. GL completed the experiments except for docking studies performed by ALA and density functional theory optimizations completed by SM. PSB and ROH synthesized RuP1 and RuP2. GL, SAM and TS analysed the data and wrote the manuscript.
Conflicts of interest
There are no conflicts to declare.
Data availability
All data associated with this manuscript is either available in the main file or in the supplementary information (SI). Supplementary information is available. See DOI: https://doi.org/10.1039/d5sc05593h.
Acknowledgements
This work was supported by a Natural Sciences and Engineering Research Council (NSERC) Discovery Grant (TS). Digital Alliance Canada is thanked for access to computational resources. S. A. M. acknowledges financial support from the National Science Foundation (CHE-2400127) and the Texas Advanced Computing Center (TACC) at The University of Texas at Austin for providing [HPC, visualization, or storage] resources that have contributed to the research results reported within this paper. URL: http://www.tacc.utexas.edu. Dr Lisa Craig is thanked for assistance in western blotting experiments. The authors thank Dr Lis Melo at 4D LABS for their assistance with TEM/EDX training and data acquisition.
Notes and references
- G. M. McKhann, D. S. Knopman, H. Chertkow, B. T. Hyman, C. R. Jack Jr, C. H. Kawas, W. E. Klunk, W. J. Koroshetz, J. J. Manly, R. Mayeux, R. C. Mohs, J. C. Morris, M. N. Rossor, P. Scheltens, M. C. Carrillo, B. Thies, S. Weintraub and C. H. Phelps, Alzheimer's Dement., 2011, 7, 263–269 CrossRef PubMed.
- M. S. Albert, S. T. DeKosky, D. Dickson, B. Dubois, H. H. Feldman, N. C. Fox, A. Gamst, D. M. Holtzman, W. J. Jagust, R. C. Petersen, P. J. Snyder, M. C. Carrillo, B. Thies and C. H. Phelps, Alzheimer's Dement., 2011, 7, 270–279 CrossRef PubMed.
-
A. Comas-Herrera, J. Zalakaín, E. Lemmon, D. Henderson and C. Litwin, et al., World Alzheimer Report 2024, Alzheimer's Disease International, 2024 Search PubMed.
- J.-Y. Hur, Exp. Mol. Med., 2022, 54, 433–446 CrossRef CAS PubMed.
- F. Leng and P. Edison, Nat. Rev. Neurol., 2021, 17, 157–172 CrossRef PubMed.
- J. Hardy and D. J. Selkoe, Science, 2002, 297, 353–356 CrossRef CAS PubMed.
- D. J. Selkoe, Nat. Med., 2011, 17, 1060–1065 CrossRef CAS PubMed.
- M. W. Chen, X. Ren, X. Song, N. Qian, Y. Ma, W. Yu, L. Yang, W. Min, R. N. Zare and Y. Dai, J. Am. Chem. Soc., 2025, 147, 8267–8279 CrossRef CAS PubMed.
- D. M. Walsh and D. J. Selkoe, J. Neurochem., 2007, 101, 1172–1184 CrossRef CAS PubMed.
- Y. Gong, L. Chang, K. L. Viola, P. N. Lacor, M. P. Lambert, C. E. Finch, G. A. Krafft and W. L. Klein, Proc. Natl. Acad. Sci. U. S. A., 2003, 100, 10417–10422 CrossRef CAS PubMed.
- C. Haass and D. J. Selkoe, Nat. Rev. Mol. Cell Biol., 2007, 8, 101–112 CrossRef CAS PubMed.
- K. P. Kepp, Chem. Rev., 2012, 112, 5193–5239 CrossRef CAS PubMed.
- C. Wells, S. Brennan, M. Keon and L. Ooi, Int. J. Biol. Macromol., 2021, 181, 582–604 CrossRef CAS PubMed.
- R. Nortley, N. Korte, P. Izquierdo, C. Hirunpattarasilp, A. Mishra, Z. Jaunmuktane, V. Kyrargyri, T. Pfeiffer, L. Khennouf, C. Madry, H. Gong, A. Richard-Loendt, W. Huang, T. Saito, T. C. Saido, S. Brandner, H. Sethi and D. Attwell, Science, 2019, 365, eaav9518 CrossRef CAS PubMed.
- Z. Benedikt, S. Manuel, F. Wei Hong, H. Chen-Engerer, M. Frosch, B. Sakmann, D. Walsh and A. Konnerth, Science, 2019, 365, 559–565 CrossRef PubMed.
- M. Sakono and T. Zako, FEBS J., 2010, 277, 1348–1358 CrossRef CAS PubMed.
- G. Bitan, M. D. Kirkitadze, A. Lomakin, S. S. Vollers, G. B. Benedek and D. B. Teplow, Proc. Natl. Acad. Sci. U. S. A., 2003, 100, 330–335 CrossRef CAS PubMed.
- L. Grcic, G. Leech, K. Kwan and T. Storr, Chem. Commun., 2024, 60, 1372–1388 RSC.
- S. Arbor, Neural Regener. Res., 2017, 12, 207 CrossRef CAS PubMed.
- C. Overk and E. Masliah, Brain, 2019, 142, 1853–1855 CrossRef PubMed.
- D. Schenk, G. S. Basi and M. N. Pangalos, Cold Spring Harbor Perspect. Med., 2012, 2, a006387 Search PubMed.
- M. Vaz, V. Silva, C. Monteiro and S. Silvestre, Clin. Interventions Aging, 2022, 17, 797–810 CrossRef PubMed.
- G. E. Vitek, B. Decourt and M. N. Sabbagh, Expert Opin. Invest. Drugs, 2023, 32, 89–94 CrossRef CAS PubMed.
- S. Kim, Chem. Eng. News, 2023, 101, 9 Search PubMed.
- D.-H. Cho, T. Nakamura, J. Fang, P. Cieplak, A. Godzik, Z. Gu and S. A. Lipton, Science, 2009, 324, 102–105 CrossRef CAS PubMed.
- E. Nam, J. Han, J. M. Suh, Y. Yi and M. H. Lim, Curr. Opin. Chem. Biol., 2018, 43, 8–14 CrossRef CAS PubMed.
- S. C. Drew and K. J. Barnham, Acc. Chem. Res., 2011, 44, 1146–1155 CrossRef CAS PubMed.
- J. A. Duce and A. I. Bush, Prog. Neurobiol., 2010, 92, 1–18 CrossRef CAS PubMed.
- C. Cheignon, M. Jones, E. Atrián-Blasco, I. Kieffer, P. Faller, F. Collin and C. Hureau, Chem. Sci., 2017, 8, 5107–5118 RSC.
- M. A. Lovell, J. D. Robertson, W. J. Teesdale, J. L. Campbell and W. R. Markesbery, J. Neurol. Sci., 1998, 158, 47–52 CrossRef CAS PubMed.
- L. M. Miller, Q. Wang, T. P. Telivala, R. J. Smith, A. Lanzirotti and J. Miklossy, J. Struct. Biol., 2006, 155, 30–37 CrossRef CAS PubMed.
- F. Hane and Z. Leonenko, Biomolecules, 2014, 4, 101–116 CrossRef PubMed.
- F. Bousejra-ElGarah, C. Bijani, Y. Coppel, P. Faller and C. Hureau, Inorg. Chem., 2011, 50, 9024–9030 CrossRef CAS PubMed.
- T. R. Young, A. Kirchner, A. G. Wedd and Z. Xiao, Metallomics, 2014, 6, 505–517 CrossRef CAS PubMed.
- L. Q. Hatcher, L. Hong, W. D. Bush, T. Carducci and J. D. Simon, J. Phys. Chem. B, 2008, 112, 8160–8164 CrossRef CAS PubMed.
- N. Yako, T. R. Young, J. M. C. Jones, C. A. Hutton, A. G. Wedd and Z. Xiao, Metallomics, 2017, 9, 278–291 CrossRef CAS PubMed.
- X. Huang, M. P. Cuajungco, C. S. Atwood, M. A. Hartshorn, J. D. Tyndall, G. R. Hanson, K. C. Stokes, M. Leopold, G. Multhaup, L. E. Goldstein, R. C. Scarpa, A. J. Saunders, J. Lim, R. D. Moir, C. Glabe, E. F. Bowden, C. L. Masters, D. P. Fairlie, R. E. Tanzi and A. I. Bush, J. Biol. Chem., 1999, 274, 37111–37116 CrossRef CAS PubMed.
- X. Huang, C. S. Atwood, M. A. Hartshorn, G. Multhaup, L. E. Goldstein, R. C. Scarpa, M. P. Cuajungco, D. N. Gray, J. Lim, R. D. Moir, R. E. Tanzi and A. I. Bush, Biochemistry, 1999, 38, 7609–7616 CrossRef CAS PubMed.
- C. Cheignon, P. Faller, D. Testemale, C. Hureau and F. Collin, Metallomics, 2016, 8, 1081–1089 CrossRef CAS PubMed.
- K. Reybier, S. Ayala, B. Alies, J. V. Rodrigues, S. Bustos Rodriguez, G. La Penna, F. Collin, C. M. Gomes, C. Hureau and P. Faller, Angew. Chem., Int. Ed., 2016, 55, 1085–1089 CrossRef CAS PubMed.
- D. Pramanik and S. G. Dey, J. Am. Chem. Soc., 2011, 133, 81–87 CrossRef CAS.
- M. G. Savelieff, G. Nam, J. Kang, H. J. Lee, M. Lee and M. H. Lim, Chem. Rev., 2019, 119, 1221–1322 CrossRef CAS PubMed.
- M. A. Telpoukhovskaia and C. Orvig, Chem. Soc. Rev., 2013, 42, 1836–1846 RSC.
- F. Collin, I. Sasaki, H. Eury, P. Faller and C. Hureau, Chem. Commun., 2013, 49, 2130–2132 RSC.
- L. M. F. Gomes, A. Mahammed, K. E. Prosser, J. R. Smith, M. A. Silverman, C. J. Walsby, Z. Gross and T. Storr, Chem. Sci., 2019, 10, 1634–1643 RSC.
- D. E. S. Silva, M. P. Cali, W. M. Pazin, E. Carlos-Lima, M. T. Salles Trevisan, T. Venâncio, M. Arcisio-Miranda, A. S. Ito and R. M. Carlos, J. Med. Chem., 2016, 59, 9215–9227 CrossRef CAS PubMed.
- A. Iscen, C. R. Brue, K. F. Roberts, J. Kim, G. C. Schatz and T. J. Meade, J. Am. Chem. Soc., 2019, 141, 16685–16695 CrossRef CAS PubMed.
- J.-M. Suh, W. Ryu, E. Nam, N. Kwon, K. Kim, D. Kim, J. Cho, K. Park and M. H. Lim, ACS Catal., 2024, 14497–14508 CrossRef CAS.
- J.-M. Suh, G. Kim, J. Kang and M. H. Lim, Inorg. Chem., 2019, 58, 8–17 CrossRef CAS PubMed.
- L. M. F. Gomes, J. C. Bataglioli and T. Storr, Coord. Chem. Rev., 2020, 412, 213255 CrossRef CAS.
- D. J. Hayne, S. Lim and P. S. Donnelly, Chem. Soc. Rev., 2014, 43, 6701–6715 RSC.
- K. J. Barnham, V. B. Kenche, G. D. Ciccotosto, D. P. Smith, D. J. Tew, X. Liu, K. Perez, G. A. Cranston, T. J. Johanssen, I. Volitakis, A. I. Bush, C. L. Masters, A. R. White, J. P. Smith, R. A. Cherny and R. Cappai, Proc. Natl. Acad. Sci. U. S. A., 2008, 105, 6813–6818 CrossRef CAS.
- G. Ma, F. Huang, X. Pu, L. Jia, T. Jiang, L. Li and Y. Liu, Chem.–Eur. J., 2011, 17, 11657–11666 CrossRef CAS PubMed.
- M. Turner, J. A. Platts and R. J. Deeth, J. Chem. Theory Comput., 2016, 12, 1385–1392 CrossRef CAS PubMed.
- B. Y.-W. Man, H.-M. Chan, C.-H. Leung, D. S.-H. Chan, L.-P. Bai, Z.-H. Jiang, H.-W. Li and D.-L. Ma, Chem. Sci., 2011, 2, 917–921 RSC.
- L. Lu, H.-J. Zhong, M. Wang, S.-L. Ho, H.-W. Li, C.-H. Leung and D.-L. Ma, Sci. Rep., 2015, 5, 14619 CrossRef CAS PubMed.
- J. Kang, J. Seung Nam, H. Jin Lee, G. Nam, H.-W. Rhee, T.-H. Kwan and M. H. Lim, Chem. Sci., 2019, 10, 6855–6862 RSC.
- V. A. Streltsov, V. C. Epa, S. A. James, Q. I. Churches, J. M. Caine, V. B. Kenche and K. J. Barnham, Chem. Commun., 2013, 49, 11364–11366 RSC.
- B. Jiang, U. Umezaki, A. Augustine, V. M. Jayasinghe-Arachchige, L. F. Serafim, Z. M. S. He, K. M. Wyss, R. Prabhakar and A. A. Martí, Chem. Sci., 2023, 14, 1072–1081 RSC.
- A. Aliyan, N. P. Cook and A. A. Martí, Chem. Rev., 2019, 119, 11819–11856 CrossRef CAS PubMed.
- M. Li, C. Xu, J. Ren, E. Wang and X. Qu, Chem. Commun., 2013, 49, 11394 RSC.
- B. I. Lee, S. Lee, Y. S. Suh, J. S. Lee, A. Kim, O.-Y. Kwon, K. Yu and C. B. Park, Angew. Chem., Int. Ed., 2015, 54, 11472–11476 CrossRef CAS PubMed.
- J. Kang, S. J. C. Lee, J. S. Nam, H. J. Lee, M. Kang, K. J. Korshavn, H. Kim, J. Cho, A. Ramamoorthy, H. Rhee, T. Kwon and M. H. Lim, Chem.–Eur. J., 2017, 23, 1645–1653 CrossRef CAS PubMed.
- K. Terpstra, Y. Huang, H. Na, L. Sun, C. Gutierrez, Z. Yu and L. M. Mirica, Dalton Trans., 2024, 53, 14258–14264 RSC.
- G. Son, B. I. Lee, Y. J. Chung and C. B. Park, Acta Biomater., 2018, 67, 147–155 CrossRef CAS PubMed.
- B. Jiang and A. A. Martí, Eur. J. Inorg. Chem., 2021, 2021, 4408–4424 CrossRef CAS.
- B. S. Howerton, D. K. Heidary and E. C. Glazer, J. Am. Chem. Soc., 2012, 134, 8324–8327 CrossRef CAS PubMed.
- T. Mede, M. Jäger and U. S. Schubert, Chem. Soc. Rev., 2018, 47, 7577–7627 RSC.
- M. R. Gill and J. A. Thomas, Chem. Soc. Rev., 2012, 41, 3179–3192 RSC.
- A. Rilak Simović, R. Masnikosa, I. Bratsos and E. Alessio, Coord. Chem. Rev., 2019, 398, 113011 CrossRef.
- F. E. Poynton, S. A. Bright, S. Blasco, D. C. Williams, J. M. Kelly and T. Gunnlaugsson, Chem. Soc. Rev., 2017, 46, 7706–7756 RSC.
- B. Jiang, A. Aliyan, N. P. Cook, A. Augustine, G. Bhak, R. Maldonado, A. D. Smith McWilliams, E. M. Flores, N. Mendez, M. Shahnawaz, F. J. Godoy, J. Montenegro, I. Moreno-Gonzalez and A. A. Martí, J. Am. Chem. Soc., 2019, 141, 15605–15610 CrossRef CAS PubMed.
- J. Kwak, J. Woo, S. Park and M. H. Lim, J. Inorg. Biochem., 2023, 238, 112053 CrossRef CAS PubMed.
- J. C. Bataglioli, L. M. F. Gomes, C. Maunoir, J. R. Smith, H. D. Cole, J. McCain, T. Sainuddin, C. G. Cameron, S. A. McFarland and T. Storr, Chem. Sci., 2021, 12, 7510–7520 RSC.
- A. Aliyan, T. J. Paul, B. Jiang, C. Pennington, G. Sharma, R. Prabhakar and A. A. Martí, Chem, 2017, 3, 898–912 CAS.
- E. Falcone and C. Hureau, Chem. Soc. Rev., 2023, 52, 6595–6600 RSC.
- E. Falcone, V. Vigna, H. Schueffl, F. Stellato, B. Vileno, M. Bouraguba, G. Mazzone, O. Proux, S. Morante, P. Heffeter, E. Sicilia and P. Faller, Angew. Chem., 2025, 137, e202414652 CrossRef.
- V. Leandri, Q. Daniel, H. Chen, L. Sun, J. M. Gardner and L. Kloo, Inorg. Chem., 2018, 57, 4556–4562 CrossRef CAS PubMed.
- C. Mari, V. Pierroz, R. Rubbiani, M. Patra, J. Hess, B. Spingler, L. Oehninger, J. Schur, I. Ott, L. Salassa, S. Ferrari and G. Gasser, Chem.–Eur. J., 2014, 20, 14421–14436 CrossRef CAS PubMed.
- F. Heinemann, J. Karges and G. Gasser, Acc. Chem. Res., 2017, 50, 2727–2736 CrossRef CAS PubMed.
- M. Mital and Z. Ziora, Coord. Chem. Rev., 2018, 375, 434–458 CrossRef CAS.
- N. P. Cook, M. Ozbil, C. Katsampes, R. Prabhakar and A. A. Martí, J. Am. Chem. Soc., 2013, 135, 10810–10816 CrossRef CAS PubMed.
- A. Aliyan, B. Kirby, C. Pennington and A. A. Martí, J. Am. Chem. Soc., 2016, 138, 8686–8689 CrossRef CAS PubMed.
- H. D. Cole, J. A. Roque, L. M. Lifshits, R. Hodges, P. C. Barrett, D. Havrylyuk, D. Heidary, E. Ramasamy, C. G. Cameron, E. C. Glazer and S. A. McFarland, Photochem. Photobiol., 2022, 98, 73–84 CrossRef CAS PubMed.
- J. A. Roque Iii, H. D. Cole, P. C. Barrett, L. M. Lifshits, R. O. Hodges, S. Kim, G. Deep, A. Francés-Monerris, M. E. Alberto, C. G. Cameron and S. A. McFarland, J. Am. Chem. Soc., 2022, 144, 8317–8336 CrossRef CAS PubMed.
- G. Son, B. I. Lee, Y. J. Chung and C. B. Park, Acta Biomater., 2018, 67, 147–155 CrossRef CAS PubMed.
- N. A. Vyas, S. S. Bhat, A. S. Kumbhar, U. B. Sonawane, V. Jani, R. R. Joshi, S. N. Ramteke, P. P. Kulkarni and B. Joshi, Eur. J. Med. Chem., 2014, 75, 375–381 CrossRef CAS PubMed.
- J. S. Derrick, J. Lee, S. J. C. Lee, Y. Kim, E. Nam, H. Tak, J. Kang, M. Lee, S. H. Kim, K. Park, J. Cho and M. H. Lim, J. Am. Chem. Soc., 2017, 139, 2234–2244 CrossRef CAS PubMed.
- L. M. F. Gomes, R. P. Vieira, M. R. Jones, M. C. P. Wang, C. Dyrager, E. M. Souza-Fagundes, J. G. Da Silva, T. Storr and H. Beraldo, J. Inorg. Biochem., 2014, 139, 106–116 CrossRef CAS PubMed.
- M. R. Jones, E. Mathieu, C. Dyrager, S. Faissner, Z. Vaillancourt, K. J. Korshavn, M. H. Lim, A. Ramamoorthy, V. W. Yong, S. Tsutsui, P. K. Stys and T. Storr, Chem. Sci., 2017, 8, 5636–5643 RSC.
-
Y. Mok and G. J. Howlett, in Methods in Enzymology, Academic Press, 2006, vol. 413, pp. 199–217 Search PubMed.
- Y. Xiao, B. Ma, D. McElheny, S. Parthasarathy, F. Long, M. Hoshi, R. Nussinov and Y. Ishii, Nat. Struct. Mol. Biol., 2015, 22, 499–505 CrossRef CAS PubMed.
- L. Gremer, D. Schölzel, C. Schenk, E. Reinartz, J. Labahn, R. B. G. Ravelli, M. Tusche, C. Lopez-Iglesias, W. Hoyer, H. Heise, D. Willbold and G. F. Schröder, Science, 2017, 358, 116–119 CrossRef CAS PubMed.
- Y. Xiao, B. Ma, D. McElheny, S. Parthasarathy, F. Long, M. Hoshi, R. Nussinov and Y. Ishii, Nat. Struct. Mol. Biol., 2015, 22, 499–505 CrossRef CAS PubMed.
- J. M. Tarasoff-Conway, R. O. Carare, R. S. Osorio, L. Glodzik, T. Butler, E. Fieremans, L. Axel, H. Rusinek, C. Nicholson, B. V. Zlokovic, B. Frangione, K. Blennow, J. Ménard, H. Zetterberg, T. Wisniewski and M. J. de Leon, Nat. Rev. Neurol., 2015, 11, 457–470 CrossRef CAS PubMed.
- G. Chen, T. Xu, Y. Yan, Y. Zhou, Y. Jiang, K. Melcher and H. E. Xu, Acta Pharmacol. Sin., 2017, 38, 1205–1235 CrossRef CAS PubMed.
- U. Sengupta, A. N. Nilson and R. Kayed, EBioMedicine, 2016, 6, 42–49 CrossRef PubMed.
- W. F. Goure, G. A. Krafft, J. Jerecic and F. Hefti, Alzheimers Res. Ther., 2014, 6, 42 CrossRef PubMed.
- Q. Cao, D. H. Anderson, W. Y. Liang, J. Chou and L. Saelices, J. Biol. Chem., 2020, 295, 14015–14024 CrossRef CAS PubMed.
- D. Du, A. N. Murray, E. Cohen, H.-E. Kim, R. Simkovsky, A. Dillin and J. W. Kelly, Biochemistry, 2011, 50, 1607–1617 CrossRef CAS PubMed.
- C. Cheignon, M. Tomas, D. Bonnefont-Rousselot, P. Faller, C. Hureau and F. Collin, Redox Biol., 2018, 14, 450–464 CrossRef CAS PubMed.
- H. Huang, X. Lou, B. Hu, Z. Zhou, J. Chen and Y. Tian, Free Radical Biol. Med., 2019, 135, 125–131 CrossRef CAS PubMed.
- Y. Ji, H. J. Lee, M. Kim, G. Nam, S. J. C. Lee, J. Cho, C.-M. Park and M. H. Lim, Inorg. Chem., 2017, 56, 6695–6705 CrossRef CAS PubMed.
- R.-X. Tan, W.-H. Li, J.-M. Pang, S.-M. Zhong, X.-Y. Huang, J.-Z. Deng, L.-Y. Zhou, J.-Q. Wu and X.-Q. Wang, Mol. Diversity, 2024, 28, 1225–1238 CrossRef CAS PubMed.
- D. Padhi, C. Balachandra, M. Ramesh and T. Govindaraju, Chem. Commun., 2022, 58, 6288–6291 RSC.
- A. Caragounis, T. Du, G. Filiz, K. M. Laughton, I. Volitakis, R. A. Sharples, R. A. Cherny, C. L. Masters, S. C. Drew, A. F. Hill, Q.-X. Li, P. J. Crouch, K. J. Barnham and A. R. White, Biochem. J., 2007, 407, 435–450 CrossRef CAS PubMed.
- P. I. Moreira, K. Hauer, I. Dutzi, C. Werner, J. Bauer, P. Ullrich, C. E. Johnson, M. J. Duncan, M. P. Murphy, Y. Li, X. Chen, M. Zhou, S. Feng, X. Peng, Y. Wang, C. Chu, Y. L. C. Low, L. Ma, Y. Wang, T. Cox, V. Doré, C. L. Masters, B. Goudey, L. Jin and Y. Pan, J. Alzheimer’s Dis., 2024, 97, 123–140 Search PubMed.
- E. Atrián-Blasco, M. del Barrio, P. Faller and C. Hureau, Anal. Chem., 2018, 90, 5909–5915 CrossRef PubMed.
- M. Jensen, A. Canning, S. Chiha, P. Bouquerel, J. T. Pedersen, J. Østergaard, O. Cuvillier, I. Sasaki, C. Hureau and P. Faller, Chem.–Eur. J., 2012, 18, 4836–4839 CrossRef CAS PubMed.
|
| This journal is © The Royal Society of Chemistry 2025 |
Click here to see how this site uses Cookies. View our privacy policy here.