1. Introduction
Alzheimer’s disease (AD) is an incapacitating disease that represents the major proportion of dementia cases in the elderly [1, 2]. AD is a multifactorial pathology with genetic predispositions and multiple probable causes [3]. Among them, a first hypothesis is known as “the amyloid cascade” [4, 5, 6]. It is based on the detection of senile plaques consisting of aggregated amyloid-β (Aβ) peptides, where Aβ are peptides of approximately 40 amino acid residues in length. Therefore, the process from the monomeric peptides to the amyloid fibrils, so-called self-assembly or aggregation, is regarded as a key element in the development of the disease. Another hypothesis is the “metal hypothesis” [7, 8, 9]. It relies on a deregulation of metal ions levels, mainly copper (Cu) and zinc (Zn) ions. It is based on the following facts: (1) metal ions are exchanged with the synaptic cleft where Aβ peptides aggregate, (2) their respective affinities for the Aβ peptides match within their biological concentration, making possible their interaction with Aβ, (3) aberrant metal levels (up to mM to be compared to μM in the cerebrospinal fluid) are found in the senile plaques. In addition to their likely participation in the modulation of Aβ aggregation [10, 11], and because they are redox-active, Cu ions can produce highly deleterious Reactive Oxygen Species (ROS) when bound to the Aβ peptide and thus can participate in the oxidative stress observed in AD [12]. Zn ions are present in much higher quantities than Cu ions in the synaptic cleft and, in contrast to Cu ions, they are redox silent.
Due to its redox ability and participation in oxidative stress, Aβ-bound Cu are thus considered as a therapeutic target of interest among others. We and many other groups have developed many copper-targeting strategies to overrule the deleterious effects of Cu (for recent reviews on that topic, see refs. [13, 14, 15, 16, 17, 18, 19, 20, 21] and references therein). Among the various properties, if Cu ions are considered as the target of choice of the intended ligands, they should possess a high Cu over Zn(II) thermodynamic selectivity, much higher than that of Aβ since there are about 10–100 fold more Zn(II) than Cu ions in the synaptic cleft [22, 23].
In the present article, we aim to complete seminal works on Schiff base derivatives, used as Cu(II) ligands able to retrieve Cu(II) from Aβ, redox-silence it and be selective enough for Cu(II) versus Zn(II) to maintain such ability in the co-presence of stoichiometric amount of Zn(II). In a seminal paper, Storr and coworkers described the synthesis of glucose derivatives of reduced Schiff base ligands, such as GLMe (Scheme 1), and the thorough characterization of the corresponding Cu(II) complexes [24]. Later on, with the objective of helping in vitro characterizations by increasing the solubility of the ligand, the sLMe analogue was reported (Scheme 1). It showed the ability to remove Cu(II) from Aβ, to stop Cu(Aβ)-induced ROS formation, and to restore apo-like aggregation of Cu(Aβ) [25]. Then the sLMe ligand was shown to have an appropriate selectivity to maintain its ability to stop Cu(Aβ)-induced ROS production in the presence of one equivalent of Zn(II) [23]. These ligands have higher affinity and Zn(II) over Cu(II) selectivity than Aβ and hence they maintain the ability to extract Cu from Aβ in the presence of one equiv. of Zn(II). The affinity for a ligand L and a metal ion M is defined as
Apparent affinity values (for Cu(II) and Zn(II)) at pH 7.1 for the Aβ peptide and the two reference ligands
L |
|
|
log(SL) | Ref. |
---|---|---|---|---|
Aβ | 9.2 | 5.0 | 4.2 | [26 , 27 ] |
GLMe | 12.1 | 4.6 | 7.5 | [24 ] |
sLMe | 13.8 | 6.1 | 7.7 | [25 , 27 ] |

Scheme of the various ligands
Scheme of the various ligands
Here, we report on the synthesis and characterizations of a series of ligands based on the two G∕sLMe previously described (Scheme 1). They will be noted
2. Results
2.1. Ligands
The synthesis of the ligands has been adapted from literature [31, 32, 33, 34, 35, 36] and is described in the Supporting Information.
2.2. Characterizations of Cu( ) complexes
The Cu(II) complexes, formed in situ by the mixture of quasi-stoichiometric ratio between

UV–vis (Panel A) and EPR (panel B) spectra of the Cu(II)(
UV–vis (Panel A) and EPR (panel B) spectra of the Cu(II)(
UV–vis and EPR parameters of the Cu(
|
UV–vis | EPRa | ||||||
---|---|---|---|---|---|---|---|---|
|
𝜀d–d (M−1⋅cm−1) |
|
𝜀LMCT (103⋅M−1⋅cm−1) | g∕∕ | A∕∕ (10−4⋅cm−1) | g⊥ | ||
L | 595 | 232 | 382 | 1.24 | 2.23 ± 0.01 | 201 ± 2 | 2.05 ± 0.01 | |
LMe | 603 | 264 | 394 | 1.17 | 2.24 ± 0.01 | 198 ± 2 | 2.06 ± 0.01 | |
L′ | 590 | 194 | 382 | 1.18 | 2.23 ± 0.01 | 204 ± 2 | 2.05 ± 0.01 | |
|
577 | 324 | 398 | 1.30 | 2.23 ± 0.01 | 206 ± 2 | 2.06 ± 0.01 | |
SL | 605 | 251 | 386 | 1.26 | 2.23 ± 0.01 | 201 ± 2 | 2.05 ± 0.01 | |
SLMe | 620 | 254 | 392 | 1.23 | 2.24 ± 0.01 | 203 ± 2 | 2.06 ± 0.01 | |
SL′ | 600 | 264 | 382 | 1.35 | 2.23 ± 0.01 | 206 ± 2 | 2.06 ± 0.01 |
aThe g values were calculated using the average position of the second and third hyperfine lines, while the hyperfine coupling values correspond to the field differences between the second and third lines to minimize second-order contributions to hyperfine splittings. 65Cu isotope was used.
In brief, the spectroscopic characterizations indicate that the first coordination sphere of the complexes are identical in buffered solution, but that some minor second sphere structural changes occur.
2.3. Cu(II) removal from Cu(Aβ)
Next, we performed competition experiments, monitored by UV–vis and EPR spectroscopies (Figure 1, panels C and D in case of ligand L and Figures S2 and S3 for the other ligands), to check that the ligands
2.4. Effect of ligands on Cu(Aβ)-induced ROS production
Finally, Cu(Aβ)-induced ROS formation was evaluated using a very suitable and straightforward experiment, namely the ascorbate (Asc) consumption assay. This is an appropriate method to monitor ROS formation. Briefly, it consists in measuring the absorption of Asc (at 265 nm, 𝜀 = 14,500 M−1⋅cm−1) that is the reductant fueling the incomplete reduction of O2 to
With Asc consumption assays, two distinct experiments can be performed, either by incubating the various chemical partners at play and then triggering the reaction by addition of Asc (named “experiments A”, Figure S5 and Figure 2, panel D), or by adding ligand

Ascorbate consumption is followed at 265 nm (with a baseline subtraction at 800 nm) induced by Cu(Aβ). Panels A to C: starting from a Cu(I)/Cu(II) mixture and in the presence of increasing Zn(II) stoichiometry. [
Ascorbate consumption is followed at 265 nm (with a baseline subtraction at 800 nm) induced by Cu(Aβ). Panels A to C: starting from a Cu(I)/Cu(II) mixture and in the presence of increasing Zn(II) stoichiometry. [

Mechanisms of arrest of Cu(Aβ)-induced ROS production by a Cu(II)-targeting ligand
Mechanisms of arrest of Cu(Aβ)-induced ROS production by a Cu(II)-targeting ligand
In the absence of Zn and after short incubation (300 s) (Figure S5, panel A), all the ligands except
2.5. Effect of ligands on the Cu(Aβ)-induced ROS production in the presence of Zn(II)
In the presence of Zn, the differences between the various ligands appear more clearly. This may be due to the additional competition reaction between Cu(II) or Zn(II) removal from Cu,Zn(Aβ) (Scheme 2, panel B). With a short incubation (300 s) (Figure S5, panel B) or when the ligand is added during Cu(Aβ)-induced Asc consumption (Figure 2, panel B), the trends are the same. The “efficiency trend” (i.e. the ability of the ligand to stop Cu(Aβ)-induced Asc consumption in the presence of Zn) is as follows: L ∼ sL > LMe ∼sLMe ≳ sL′ ≳ L′ ≫
Hence, it appears here that Zn(II) induces a change in the ability of the ligands
3. Discussion
The various results obtained with the ligands

Rates of Cu(Aβ)-induced ascorbate consumption as a function of the ligand and equivalent of Zn(II), starting from Cu(I)/Cu(II) (corresponding to data in Figure 2, panels A–C) and from Cu(II) after 24 h of incubation (corresponding to data in Figure 2, panel D and Figure S7). L in pink, LMe in blue, L′ in green, and
Rates of Cu(Aβ)-induced ascorbate consumption as a function of the ligand and equivalent of Zn(II), starting from Cu(I)/Cu(II) (corresponding to data in Figure 2, panels A–C) and from Cu(II) after 24 h of incubation (corresponding to data in Figure 2, ... Lire la suite
3.1. Effect of p-sulfonation on phenol rings
The sulfonated version of three ligands were tested. Sulfonation has no significant effect on the properties of the parent ligand regarding Cu(Aβ) and Cu,Zn(Aβ)-induced ROS production. This makes possible the use of such water-soluble counterparts for in vitro investigations, while the parent ligands could be engaged in in vivo experiments.
3.2. Structure–activity relationship
3.2.1. Ligands other than
Ligands other than
To explain such observations, the chemical reactions shown in Scheme 3 are proposed. According to Scheme 3, the overall Zn(II)-induced slowdown of Cu(II) removal out of Aβ (and consequent effect on Cu(Aβ)-induced Asc consumption) could be due to both thermodynamic and kinetic factors for each individual reaction at play, the determination of which is beyond the scope of the present study.

Various possible reactions at play in Cu(II) removal out of Aβ by
Various possible reactions at play in Cu(II) removal out of Aβ by
Reaction (1) corresponds to Cu(II) removal from Aβ by
With the series of ligands
The best ligands able to resist up to 10 equiv. of Zn are L and sL, whereas sL′, LMe, and sLMe work correctly only in the presence of one equiv. of Zn(II). Hence, the cyclohexyl-grafted ethylene bridge and, to a lesser extent the N-methyl substituents, increase the level of Zn(
3.2.2. Ligand
Among the series, ligand
In addition, the trend
3.3. Kinetic impact of Zn(II)
In brief, the study of the series of ligands
3.4. Perspectives
Among the tested ligands, the simplest L appears to be the ideal candidate with respect to its ability to stop Cu(Aβ)-induced ROS formation in the presence of a biologically relevant ratio of the competing Zn(II) ion. Further studies on this ligand series will aim to relate the in vitro data obtained here with their ability to relieve the cellular toxicity induced by ROS produced by Cu(Aβ) with and without Zn, as reported for other ligands [50, 51, 52, 53, 54]. Since L is expected to be partly neutral at pH 7 based on potentiometric data reported for G∕SLMe [24, 25], and thus to fulfill Lipinski’s rules, it appears as a good candidate for blood–brain barrier penetration by passive diffusion and thus for further in vivo studies on AD animal models.
Declaration of interests
The authors do not work for, advise, own shares in, or receive funds from any organization that could benefit from this article, and have declared no affiliations other than their research organizations.
Acknowledgments
CH acknowledges ERC StG 638712, CE and ML the ANR-20-CE07-0009 for financial support. Sonia Mallet-Ladeira is acknowledged for providing the X-ray crystallographic data of related Cu(II) complexes.
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