1. Introduction
Systemic amyloid diseases are characterized by the aberrant accumulation of amyloid fibrils in the extracellular space of target organs [1,2]. Several organs can be involved, and amyloid accumulation is associated with organ disfunction. Defining the molecular features that predispose to amyloid formation, understanding the molecular bases of proteotoxicity and the mechanisms causing organ dysfunction are crucial steps for deciphering and treating these pathologic conditions.
Protein misfolding and tissue damage are intuitively related processes, but the link between them remains unclear in many cases. In most amyloid-related diseases, the presence of amyloid deposits per se is not considered sufficient to explain the clinical phenotype [3,4,5,6,7,8]. In central amyloidosis monomeric and fibrillar species do not display any toxicity in vitro or in vivo, while highly toxic oligomeric species, characterized by a loose structure and a high level of hydrophobicity, have been identified. In systemic immunoglobulin light chain amyloidosis (AL), the bulky extracellular deposits often alter the macro- and micro-architecture of tissues affecting organ functionality, but the direct cytotoxicity of soluble and circulating protein species has also been clearly demonstrated [9,10,11,12,13,14,15,16,17].
AL is the most common form of systemic amyloidosis: amyloidogenic misfolding-prone monoclonal immunoglobulin light chains (LCs) are produced in excess by a bone marrow plasma cell clone and transported to the target organs through the bloodstream, where they ultimately aggregate as large amyloid deposits [18]. AL is a polymorphic disease and very heterogenous from a clinical point of view, with most patients showing multi-organ involvement. Heart involvement is particularly frequent (~75% of cases) and dramatically worsens patients’ prognosis, but renal deposition is also common (~65% of cases) [19,20,21,22]. The molecular details of such an organ-selective involvement are not understood, but the extremely high sequence variability among LCs caused by genetic rearrangement and somatic hypermutation, probably plays a role.
The heterogeneity of monoclonal LCs complicates efforts to associate sequence determinants with aggregation propensity. Growing experimental evidence indicates that specific biochemical properties play a relevant role or at least strongly correlate with LCs amyloidogenicity. Thermodynamic and kinetic stability are lower in amyloidogenic LCs compared to control non-amyloidogenic LCs, whereas protein flexibility and dynamics are typically increased in AL LCs compared to non-AL ones [15,23,24,25,26,27,28,29,30,31,32,33,34,35]. Specific LC germlines are overrepresented among AL sequences, and recent algorithms tend to predict more accurately the AL propensity of LC sequences [36]. The biochemical properties and sequence determinants of LCs aggregation need to be fully clarified.
The structure of native LCs is highly conserved: they are dimeric and consist of two immunoglobulin domains, the variable domain (VL) and the constant domain (CL) (Figure 1A) [28]. Instead structural analysis of LCs fibrils depicts a very diverse scenario. The four available Cryo-EM structures of the ex vivo fibrils from AL patients show independent assemblies [37,38,39,40]. The ex vivo amyloid deposits show a large group of proteoforms caused by proteolytic events [41,42,43]; whether such proteolysis is a trigger for LCs aggregation or is the result of post-aggregation processes is still under debate [30,31,43,44].
A growing body of clinical and experimental data shows that the toxic effects directly caused by soluble LC species are extremely relevant for the organ damage observed in AL patients [5,11,16,25,45]. Indeed, clinical observations indicate the rapid amelioration of cardiac dysfunction biomarkers upon reduction of the circulating pathogenic LCs with therapy [4]. Such observations can be recapitulated in the nematode C. elegans, an established experimental model of LC cardiotoxicity in vivo. In C. elegans, the administration of cardiotropic LCs caused a profound functional and structural damage to the pharynx, which is considered an “ancestral heart.” Such damage is associated with the production of reactive oxygen species (ROSs), which cause mitochondrial structural alteration and injury [10,11,25]. Intriguingly, non-amyloidogenic LCs from multiple myeloma patients (M-LC), which produced negligible amount of ROS, were non-toxic [10,11].
The biophysical stabilization of cardiotropic LCs significantly reduces their soluble toxicity in vitro in cardiac cells and in vivo in C. elegans, suggesting that fold instability and protein flexibility may play a role in both aggregation propensity and soluble toxicity [25]. The specific propensity of cardiotropic LCs to generate ROS has been reported to be related to their ability to interact with metal ions, particularly copper, known to modulate the polymerization and toxicity of different amyloidogenic proteins. In vivo observations also indicated that the addition of copper divalent ions to cardiotropic LCs, but not non-amyloidogenic LCs, resulted in a distinct increase in the recorded protein in vivo toxicity [11]. Importantly, metal chelators restored the correct cellular copper levels, counteracted ROS generation and the toxicity of cardiotropic LCs.
In this study we applied biophysical microscale thermophoresis (MST), isothermal microcalorimetry (ITC) and thermal melting assays, and we show that copper specifically binds to the VL of the cardiotropic H7 with a low micromolar affinity. Ala-substitution of two histidine residues in the constant domain of H7 (H7-H188A/H197A mutant) does not alter copper binding or impair ROS generation in vitro. However, the His-to-Ala mutations destabilized the constant domain and also significantly reduced the toxicity of the H7 mutant. Our data indicate that copper binding is a relevant player in determining H7 soluble toxicity, but its binding is not sufficient to completely explain the observed toxic effects, which probably rely on a complex interplay between different molecular properties.
2. Results
2.1. Copper Binds to H7 with Sub-Micromolar Affinity
We have recently shown that the incubation of the amyloidogenic and cardiotropic LC, H7, with Cu2+ resulted in an increase in the protein proteotoxicity in vivo; this phenomenon was specific for copper as other divalent ions did not trigger the same effect [11]. Conversely, the presence of Cu2+ did not increase the toxicity of non-amyloidogenic and non-toxic LCs [11]. Herein, we report the application of microscale thermophoresis (MST), isothermal calorimetry (ITC) and thermal melting to demonstrate that Cu2+ binds specifically to the VL of H7 with sub-micromolar affinity.
In MST, the titration of copper to fluorescently labeled H7, yielded concentration-dependent upward-shifted thermophoresis profiles (Figure 1C). Plotting the derived ΔFnorm values against the Cu2+ concentration yields a sigmoidal binding curve with an amplitude value of 15 ‰ and a fitted KD-value of 750 ± 60 nM (Figure 1C). Other mono- or bi-valent cations (Ca2+, Fe2+, Mg2+, Na+, Zn2+), did not alter the thermophoretic movement of H7 (Figure 1C and Figure S1). The titration of Cu2+ to the non-amyloidogenic LC M7, yielded a binding curve with a similar amplitude but a >50 times reduced affinity of 50 ± 15 μM (Figure 1C). Such binding affinities were confirmed using the orthogonal biophysical method, ITC (Figure 1D). The injection of Cu2+ to H7 yielded exothermic spikes that returned to baseline after the 12th injection (Figure 1D). The binding isotherm obtained from four experiments was fit globally to yield the KD and binding enthalpy (ΔH) values of 900 ± 100 nM and −8.7 ± 0.1 kcal/mole, respectively (Figure 1D). As a negative control experiment, the injection of Cu2+ to H7 in the presence of molar excess of EDTA abolished binding due to(EDTA: Cu2+) chelation (Figure 1D). The injection of Cu2+ to M7 yielded exothermic spikes at approximately half the amplitude compared to H7 (Figure 1D). The estimated KD and ΔH values derived from the two experiments were 16 ± 6 μM and 6 ± 1 kcal/mole, respectively. It should be noted that higher M7 and Cu2+ concentrations are required for more accurate values. However, taken together with the MST results, we conclude a 20–50 times reduced affinity value for the binding of copper to M7.
In order to assess the effect of Cu2+ on H7 stability, temperature ramps monitored by nano differential scanning fluorimetry (nanoDSF) were performed on H7, with and without Cu2+ and in presence of EDTA (Figure 1E). Temperature ramps without copper and in the presence of EDTA are well superimposable and show two-step unfolding corresponding to the unfolding of the VL domain at 45 °C and then the CL domain at 57 °C (Figure 1E). It should be noted that a mutation-induced shift of the second Tm value in melting curves of the H7-H188A/H197A, strongly suggest the association of the first and second Tm values with the VL and CL domains, respectively (Figure 2C and explained below). The destabilization of CL yielded a melting curve with a single apparent inflection point at 49 °C, indicating more cooperative unfolding of H7-H188A/H197A. Interestingly, H7 titration with Cu2+ shifted the first Tm value from 45 °C to 48.3 °C, thus revealing that copper binding induced the stabilization of the VL domain.
2.2. H7-H188A/H197A Mutant Binds Cu2+ and Produces H2O2 Similar to Wild-Type H7
With the exception of a few examples, copper binding to proteins is dominated by three ligand types: the side chains of methionine, cysteine and histidine [46]. H7 lacks methionine residues, and four out of five cysteine residues form non-solvent exposed intramolecular disulphide bonds, the fifth forms an intermolecular disulphide bond between the C-terminal regions of the CL domains [28]. The fifth cysteine residue is localized close to the C-terminus of the CL domain, rarely resolved in LC crystal structures due to conformational flexibility and is thus unlikely a part of a potential Cu2+ coordination site. Therefore, we focused on the two histidine residues present in the H7 sequence, H188 and H197, both localized in the CL domain (Figure 1A).
The substitution of both histidine residues by alanine in the H7-H188A/H197A mutant resulted in SEC and CD spectral profiles similar to the H7 wild-type, suggesting a preserved overall structure of the mutant (Figure 2A,B). However, comparative analysis of the thermal denaturation profiles revealed a sharper transition of the temperature ramp CD profile of H7-H188A/H197A compared to H7, indicating the mutation-induced destabilization of the mutant (Figure 2C). The broad transition of H7 unfolding exhibits two midpoint temperatures of 44 °C and 57 °C that are apparent in CD temperature ramps (Figure 2C). Two independent midpoints were also present and clearly resolved in nanoDSF datasets collected prior and after ITC titrations (Figure 1E). The H188A/H197A mutations located within the CL domain caused a substantial shift of the second Tm value from 57 °C to 51.5 °C, suggesting a mutation-induced destabilization of the CL domain and resulting in a more cooperative unfolding.
ITC experiments show that the titration of Cu2+ to H7-H188A/H197A yielded KD and ΔH values of 900 ± 300 nM and −7.6 ± 0.8 kcal/mole (Figure 1D), which are comparable to those of H7. This observation indicates that histidine residues are not involved in copper binding and that Cu2+ is likely bound to the VL domain rather than to the mutated CL domain.
The addition of copper to amyloidogenic LCs facilitates the production of H2O2, while this was not observed for non-amyloidogenic LCs [11]. Thus, the similar binding affinities of H7 and H7-H188A/H197A for copper ions translated in a comparable capacity of the two proteins to generate oxygen radicals, here measured as the level of H2O2 produced overtime (Figure 2D). M7, which poorly binds copper ions, generates a much lower amount of oxygen radicals (Figure 2D).
2.3. H7-H188A/H197A Mutant Is Less Toxic In Vivo
Finally, H7-H188A/H197A was administered to C. elegans and its toxicity was assessed as the reduction in the pharyngeal pumping rate. Surprisingly, H7-H188A/H197A resulted to be significantly less toxic than H7 (Figure 3A), with an IC50 1.6-fold lower (IC50: 28.9 µg/mL and 46.8 µg/mL for H7-H188A/H197A and H7, respectively; p < 0.01, Student’s t-test). The non-amyloidogenic M7 protein, here employed as a negative control, did not impair the pharyngeal function of worms, according to previous data (Figure S4). The addition of copper worsened the pharyngeal toxicity caused by H7, but not the one by H7-H188A/H197A or of M7 (Figure 3B).
3. Discussion
Previous in vivo data made a strong case for the toxic effect of Cu2+ when delivered by soluble amyloidogenic LCs [11]. In this work, we applied MST, ITC and biophysical protein melting to demonstrate the low micromolar affinity binding of Cu2+ to the VL domain of H7. In keeping with the in vivo data, we showed that only copper ions specifically bind to LCs, in accordance with our previous observation that H7 toxicity was not affected by iron and zinc ions [11]. The binding curves obtained by MST and ITC show clear plateaus indicating the saturation of a specific copper binding site, and ruling out the possibility of an unspecific binding for which binding would increase linearly with the copper concentration (Figure 1). It was observed that while H7 has a KD ranging between 700–100 nM, M7 displays a 20–50-fold lower affinity for copper, in line with a significantly reduced ROS generation and with the lack of in vivo toxicity of non-amyloidogenic LC.
To identify the residues directly involved in copper binding, the only two histidine residues present in the H7 sequence were mutated to alanine. The resulting H7-H188A/H197A displays the same affinity for copper as wild-type H7, thus demonstrating that histidine residues are not involved in copper binding. In line with these data, H2O2 generation by H7-H188A/H197A is almost identical compared to H7 wild-type.
Although the His-to-Ala substitutions did not abolish Cu2+binding, the Tm value shifts in the melting curves of the mutant allowed us to associate the lower and a higher midpoint temperatures to the serial unfolding of the VL and CL domains, respectively. While the CL domain is destabilized in the H7-H188A/H197A mutant, the VL domain is stabilized by its interaction with copper. The observed copper-induced stabilization of H7-VL is in contrast to a previous study, in which copper binding destabilized the VL domain of the LC 6αJL2-R24G, thus accelerating fibril formation [47]. We noted that the unique sequence of each individual LC VL-domain generated distinct molecular features that could lead to the observed (de-)stabilization differences caused by Cu binding. Thus, our data helped to localize the copper binding site in the VL domain, but the specific binding residues remain to be determined.
Surprisingly, the two histidine mutations present in H7-H188A/H197A abrogate the proteotoxic effect of H7 in C. elegans. Fold stability is considered a relevant property in determining the toxicity and amyloid aggregation propensity; however, whether the reduced toxicity of the mutant is related to the decreased CL stability, or the more cooperative fold, remains to be determined.
The soluble toxicity of amyloidogenic LCs is well supported by clinical observations [5,11,16,25,45], and experimentally proven using cellular approaches as well as animal models, such as C. elegans and zebrafish [48]. Several lines of evidence indicate that toxicity depends on specific molecular traits [10,11,25]
Although the pathogenic mechanisms responsible for the proteotoxic effect of amyloidogenic LCs remain to be fully elucidated, the findings in C. elegans suggest that it may imply multiple factors, from the oxidative and structural damage directly induced by ROS to the consequent activation of the intracellular signaling pathway aimed at repairing or protecting the damage [11].
Our previous and current investigations provide evidence that specifically bound Cu2+ enhances the toxicity of amyloidogenic LCs. However, the properties of the H7–H188A/H197A mutant further confirm that proteotoxicity, as amyloidogenicity, results from a complex interplay between several intrinsic molecular properties.
4. Materials and Methods
4.1. Recombinant LC Production and Purification
Recombinant LCs were produced according to [49]. Briefly, heterologous proteins were produced as inclusion bodies (IBs), and subjected to a refolding procedure, and refolded LCs were isolated by anion exchange (IEX) and size exclusion chromatography (SEC). In more detail, H7 and M7 were expressed in BL 21 DE3 E. coli from pASK-IBA33 plus and pET21b plasmids after induction with 0.43 μM anhydrotetracycline and 0.5 mM IPTG, respectively, for four hours at 37 °C. After IB isolation and refolding (10 mM Tris-HCl pH 8.0, 1 mM EDTA, 1 mM PMSF with 5 mM reduced L-glutathione and 0.5 mM oxidized L-glutathione), LCs were bound to Q SepharoseR Fast Flow 16/10 (GE Healthcare) equilibrated in 10 mM Tris-HCl pH 8.0. Refolded LCs eluted at a NaCl concentration of 160–240 mM during the applied 0–1M NaCl-gradient. LC dimer populations were isolated from the SEC column Superdex 200 10/300 GL SEC equilibrated in 10 mM Tris-HCl pH 7.5 at the retention volumes of ~14 mL, indicating the expected dimer structure.
4.2. Microscale Thermophoresis (MST)
Protein interaction studies were performed using MicroScale Thermophoresis (MST) according to [50,51]. Light chains were labeled using labeling kit amine-reactive NT-647-NHS fluorescent dye (Monolith NT™ Protein Labelling Kit RED-NHS, NanoTemper® Technologies GmbH, München, Germany) according to the manual. Ions were titrated in 1:1 dilution starting from the highest final concentrations. Labeled light chain was added to obtain a final concentration of 60 nM. Light chains were exchanged to 10 mM TRIS-HCl pH 7.5 on Superdex 200 10/300 GL, and measurements were performed using standard-treated glass capillaries and the instrument Monolith NT.115 (Nano-Temper Technologies). The IR laser-power was set to 20%, the laser on-and-off times were set at 20 s and 5 s, respectively. The amplitude normalized data ΔFnorm of each dataset were averaged from the measurements shown in Figure S1 and plotted against the concentration of the unlabeled ligand on a logarithmic scale. The binding data were analyzed using MO affinity analysis software, as provided by the manufacturer.
4.3. Isothermal Titration Calorimetry (ITC)
Light chains were exchanged to 10 mM TRIS-HCl pH 7.5. CuCl2 was dissolved in the same buffer used for SEC at a stock concentration of 10 mM. For the EDTA control experiments, the light chains and copper were made to 10 mM TRIS HCl 10 mM EDTA pH 7.5 following the same procedure. ITC measurements were performed using the Microcal PEAQ ITC calorimeter (Malvern). The cell temperature was set to 25 °C and the syringe stirring speed to 750 rpm. Before each experiment, the light chain and ions were loaded into the cell and syringe at concentrations of 20–35 μM and 200–600 μM, respectively. Except for the first injection with a volume of 0.4 uL, all the following injections were performed with a volume of 2 mL and a waiting time in-between each injection of 150 s. The data and binding parameters were pre-analyzed using the MicroCal PeakITC software (Malvern). The final analysis and global fits were performed using NITPIC and Sedphat, respectively [52,53].
4.4. Circular Dichroism and Tycho Measurements
Circular dichroism experiments, in the far- and near-UV regions, were carried out on a J-810 spectropolarimeter (JASCO Corp., Tokyo, Japan) equipped with a Peltier system for temperature control. All experiments were carried out in 10 mM TRIS- HCl pH 7.5. For the experiments in the far-UV region, the LCs were loaded at a concentration of 0.2 mg/mL into cuvettes with a pathlength of 0.1 cm. Spectra were recorded from 260 to 190 nm. Temperature ramps were applied from 20–80 °C with a slope of 60 °C/hour and monitored at 202 nm. For the near-UV region, the LCs were loaded at a concentration of 1 mg/mL into cuvettes with a pathlength of 1 cm. Spectra were recorded from 250 to 350 nm. Temperature ramps (as above) were monitored at 288 nm. Melting temperatures (Tm) were calculated as the first-derivative minima of the melting curves. The smoothed CD spectra and T-ramp curves were obtained by applying a Savitzky–Golay filter (Figure S3). The samples for nanoDSF protein melting curves were taken in capillaries specific for the Tycho NT1.6 instrument, immediately before or after the ITC measurements.
4.5. Data Integration and Figure Preparation
Pre-analyzed data were exported for data integration and visualization in R, mainly using tidyverse and ggplot packages [54,55,56,57]. The structural figure was rendered in PyMOL (Schrödinger, 2010).
4.6. Effect of LCs on C. elegans’ Pharyngeal Behaviour
The toxic effect of LC was evaluated, as previously described [10,11]. Briefly, Bristol N2 nematodes (Caenorhabditis elegans Genetic Center (CGC), University of Minnesota, Minneapolis, MN) were propagated at 20 °C on solid nematode growth medium (NGM) seeded with Escherichia coli OP50 (CGC) for food. Worms were incubated with 2.5–250 µg/mL H7 WT, mutated H7 or M7 (100 worms/100 µL) in 10 mM phosphate-buffered saline (PBS), pH 7.4. Ten mM PBS, pH 7.4, was administered as a negative control (vehicle). After 2 h of incubation on orbital shaking, worms were transferred onto NGM plates seeded with OP50 E. coli and the pharyngeal pumping rate was scored 24 h later. Experiments were also performed by feeding worms for 2 h with 10 or 100 µg/mL of LC alone or with 50 µM copper (II) (from CuCl2) in metal-free water. This dose of copper is compatible with viability of the worms [11].
4.7. Hydrogen Peroxide Determination
The amount of H2O2 generated by H7-wt, mutated H7 or M7 proteins (50 µg/mL in 10 mM PBS, pH 7.4) was determined before and at different times after incubation at 37 °C, using the Amplex® Red Hydrogen Peroxide/Peroxidase Assay Kit (Catalog no. A22188, Thermo Fisher, Milan, Italy).
4.8. Statistical Analysis
The data were analyzed using GraphPad Prism 8.0 software (GraphPad Software, CA) by an independent Student’s t-test, one-way analysis of variance, and Bonferroni’s post hoc test. The values of IC50 were determined using Prism version 8.0 for Windows (GraphPad Software). A p-value < 0.05 was considered statistically significant.
R.R., M.R., T.S., M.M., L.O., M.M.B., A.B., Investigation; G.P., C.P., L.A., L.D., S.R., Conceptualization; T.S., L.D., S.R., Writing—Review & Editing. All authors have read and agreed to the published version of the manuscript.
This study was supported by the Fondazione Cariplo 2016-0489 (to S.R.); the Fondazione ARISLA (project TDP- 43-STRUCT) and the Fondazione Telethon (GGP17036) (S.R.); and the Italian Ministry of Health (RF-2016-02361756) to L.D. C. elegans and OP50 E. coli were provided by the CGC, which is funded by NIH Office Research Infrastructure Programs (P40 OD010440).
Data is contained within the article or
The authors declare no conflict of interest.
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Figure 1. Combined MST, ITC and thermal unfolding demonstrate low micromolar binding affinity of copper to the VL domain of H7. (A) The crystal structure of H7 (PDB: 5MUH) exemplifies the typical two-domain architecture and dimer interface observed for most LC structures [28]. Both the VL and CL immunoglobulin domains contribute to the dimer interface. The strands, helices and loops of one monomer are shown in red, yellow and grey. The second subunit is shown in grey. The positions of H197 and H188 are highlighted. (B) The color legend used throughout the manuscript unless stated otherwise. H7, H7-H188A/H197A and M7 were colored in tones of red, blue and black, respectively. (C,D) Selected MST time-traces and the baseline-corrected ITC thermograms are shown in the panels below the final MST titration curves and ITC binding isotherms. The complete set of MST and ITC raw data is shown in Figures S1 and S2. MST time-traces are color-coded on a log2-concentration scale. (C) The MST binding curve averaged from four Cu2+-to-H7 titration experiments (red) reveals a sigmoidal line-shape with an ΔFnorm amplitude of 15‰ and a fitted KD value of 750 ± 60 nM. The titration curves of Ca2+, Fe2+, Mg2+, Na+ and Zn2+ to H7 over similar concentration ranges are summarized in the “ions” panel (light orange). The associated MST-TT of a single Mg2+ titration is shown below, all other raw data are shown in Figure S1. The titration of Cu2+ to M7-wt (black) yielded a binding curve with an ΔFnorm amplitude of 15‰ and a fitted KD value 50 ± 15 μM, derived from two experiments. At the highest Cu2+ concentrations, we noticed wavy MST time-traces indicative for Cu2+ induced M7 aggregation, which were not included in the final analysis. (D) Offset-corrected ITC-binding isotherms demonstrated sub-micromolar affinity for the binding of Cu2+ to H7 (red) with KD and binding the enthalpy (ΔH) values of 900 ± 100 nM and −8.7 ± 0.1 kcal/mole, respectively, as derived from global fits to four experiments. The substitution of His-188 and H-197 to Ala residues did not significantly alter the binding, yielding fitted KD and ΔH values of 900 ± 300 nM and −7.6 ± 0.8 kcal/mole (blue). Chelation of Cu2+ by molar excess of EDTA abolished binding (dark red). The binding isotherm derived from two experiments for binding of Cu2+ to M7 (black) was fit with KD and enthalpy (ΔH) values of 16 ± 6 μM and 6 ± 1 kcal/mole. (E) Thermal unfolding monitored at a 350/330 nm fluorescence ratio in nanoDSF revealed two melting temperatures (Tm) for the unfolding of H7. The binding of copper (dark red) shifted the first Tm value from 45 to 48.3 °C. The thermal melting of H7 in the presence of EDTA (pink curve) yielded a profile almost identical to H7 in the absence of copper (light red).
Figure 2. Mutated H7 has a similar overall structure but destabilized CL domain compared to WT, and its capacity to produce H2O2 is unaltered. (A) CD spectra recorded for H7 (red) and H7-H188A/H197A (light blue) indicated minimal differences below 210 nm that are possibly caused by minimal loss of the strand and/or helix secondary structure in the CL domain. (B) H7 and H7-H188A/H197A eluted from the analytical SEC column Superdex 200 10/300 GL at almost identical retention volumes of 14 mL, corresponding to an apparent MW of 44 kDa. (C) Comparative thermal melting of H7 and H7-H188A/H197A monitored at 202 nm in CD revealed that the 2nd inflection point was shifted from 57 to 51.5 °C. This destabilizing effect of the His-to-Ala substitutions in the CL domain allowed us to assign the 1st and 2nd inflection points to the VL and -CL domains, respectively. Although the melting curve of H7-H188A/H197A is more cooperative with a single apparent transition, the hypothetical inflection points of the two domains based on the wild-type profile are indicated. (D) H2O2 produced by 50 µg/mL H7, H7-H188A/H197A and M7, incubated at different times at 37 °C in 10 mM PBS, pH 7.4. The mean ± SD of fluorescence intensity (FI), n = 6. **** p < 0.0001 vs. H7 WT and mutated H7, one-way Anova and Bonferroni’s post hoc test.
Figure 3. H7 mutant with destabilized CL domain is less toxic to C. elegans. (A) Dose–response curves reveal the diminished toxicity of H7-H188A/H197A (H7 mut) compared to H7 (WT), as higher concentrations are required to inhibit the pumping rate of worms. Worms were fed for 2 h with different concentrations of WT or mutated H7 suspended in 10 mM PBS, pH 7.4, and the pharyngeal pumping was scored 24 h after the administration. Control worms received vehicle alone (dotted line). Each value is the mean ± SE, n = 30. IC50 was 28.9 and 46.8 µg/mL for WT and mutated H7, respectively, p < 0.01, Student’s t-test. (B) Worms were fed for 2 h with 10 or 100 µg/mL H7 or H7-H188A/H197A, or 100 µg/mL M7 dissolved in 10 mM PBS, pH 7.4, with or without 50 µM Cu (II). Control worms received 10 mM PBS, pH 7.4 with or without 50 µM Cu (II) (vehicle). Pharyngeal pumping was determined 24 h after the administration. Each value is the mean ± SE, n = 20. * p < 0.05, ** p < 0.01 and **** p < 0.001 vs. the corresponding vehicle, °°°° p < 0.001, one-way ANOVA and Bonferroni’s post hoc test.
Supplementary Materials
The following supporting information can be downloaded at:
References
1. Benson, M.D.; Buxbaum, J.N.; Eisenberg, D.S.; Merlini, G.; Saraiva, M.J.M.; Sekijima, Y.; Sipe, J.D.; Westermark, P. Amyloid nomenclature 2018: Recommendations by the International Society of Amyloidosis (ISA) nomenclature committee. Amyloid Int. J. Exp. Clin. Investig. Off. J. Int. Soc. Amyloidosis; 2018; 25, pp. 215-219. [DOI: https://dx.doi.org/10.1080/13506129.2018.1549825] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/30614283]
2. Nuvolone, M.; Merlini, G. Systemic amyloidosis: Novel therapies and role of biomarkers. Nephrol. Dial. Transplant. Off. Publ. Eur. Dial. Transpl. Assoc.-Eur. Ren. Assoc.; 2017; 32, pp. 770-780. [DOI: https://dx.doi.org/10.1093/ndt/gfw305] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/27540044]
3. Eisele, Y.S.; Janssen, M.E.; MA, D.; Nguyen, B.; Plate, L.; Morgan, G.J.; Reixach, N.; Buxbaum, J.N.; Wiseman, R.L.; Lander, G.C. et al. Formation and toxicity of transthyretin (ttr) oligomers in vitro and in patients with familial amyloid polyneuropathy. Alzheimer’s Dement. J. Alzheimer’s Assoc.; 2018; 14, pp. 1123-1124. [DOI: https://dx.doi.org/10.1016/j.jalz.2018.06.1503]
4. Madhivanan, K.; Greiner, E.R.; Alves-Ferreira, M.; Soriano-Castell, D.; Rouzbeh, N.; Aguirre, C.A.; Paulsson, J.F.; Chapman, J.; Jiang, X.; Ooi, F.K. et al. Cellular clearance of circulating transthyretin decreases cell-nonautonomous proteotoxicity in Caenorhabditis elegans. Proc. Natl. Acad. Sci. USA; 2018; 115, pp. E7710-E7719. [DOI: https://dx.doi.org/10.1073/pnas.1801117115]
5. Palladini, G.; Lavatelli, F.; Russo, P.; Perlini, S.; Perfetti, V.; Bosoni, T.; Obici, L.; Bradwell, A.R.; D’Eril, G.M.; Fogari, R. et al. Circulating amyloidogenic free light chains and serum N-terminal natriuretic peptide type B decrease simultaneously in association with improvement of survival in AL. Blood; 2006; 107, pp. 3854-3858. [DOI: https://dx.doi.org/10.1182/blood-2005-11-4385]
6. Reixach, N.; Deechongkit, S.; Jiang, X.; Kelly, J.W.; Buxbaum, J.N. Tissue damage in the amyloidoses: Transthyretin monomers and nonnative oligomers are the major cytotoxic species in tissue culture. Proc. Natl. Acad. Sci. USA; 2004; 101, pp. 2817-2822. [DOI: https://dx.doi.org/10.1073/pnas.0400062101]
7. Sapp, V.; Jain, M.; Liao, R. Viewing extrinsic proteotoxic stress through the lens of amyloid cardiomyopathy. Physiology; 2016; 31, pp. 294-299. [DOI: https://dx.doi.org/10.1152/physiol.00047.2015]
8. Schonhoft, J.D.; Monteiro, C.; Plate, L.; Eisele, Y.S.; Kelly, J.M.; Boland, D.; Parker, C.G.; Cravatt, B.F.; Teruya, S.; Helmke, S. et al. Peptide probes detect misfolded transthyretin oligomers in plasma of hereditary amyloidosis patients. Sci. Transl. Med.; 2017; 9, [DOI: https://dx.doi.org/10.1126/scitranslmed.aam7621] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/28904227]
9. Brenner, D.A.; Jain, M.; Pimentel, D.R.; Wang, B.; Connors, L.H.; Skinner, M.; Apstein, C.S.; Liao, R. Human amyloidogenic light chains directly impair cardiomyocyte function through an increase in cellular oxidant stress. Circ. Res.; 2004; 94, pp. 1008-1010. [DOI: https://dx.doi.org/10.1161/01.RES.0000126569.75419.74]
10. Diomede, L.; Rognoni, P.; Lavatelli, F.; Romeo, M.; Del Favero, E.; Cantu, L.; Ghibaudi, E.; di Fonzo, A.; Corbelli, A.; Fiordaliso, F. et al. A Caenorhabditis elegans-based assay recognizes immunoglobulin light chains causing heart amyloidosis. Blood; 2014; 123, pp. 3543-3552. [DOI: https://dx.doi.org/10.1182/blood-2013-10-525634] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/24665135]
11. Diomede, L.; Romeo, M.; Rognoni, P.; Beeg, M.; Foray, C.; Ghibaudi, E.; Palladini, G.; Cherny, R.A.; Verga, L.; Capello, G.L. et al. Cardiac light chain amyloidosis: The role of metal ions in oxidative stress and mitochondrial damage. Antioxid. Redox Signal.; 2017; 27, pp. 567-582. [DOI: https://dx.doi.org/10.1089/ars.2016.6848] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/28132512]
12. Imperlini, E.; Gnecchi, M.; Rognoni, P.; Sabido, E.; Ciuffreda, M.C.; Palladini, G.; Espadas, G.; Mancuso, F.M.; Bozzola, M.; Malpasso, G. et al. Proteotoxicity in cardiac amyloidosis: Amyloidogenic light chains affect the levels of intracellular proteins in human heart cells. Sci. Rep.; 2017; 7, 15661. [DOI: https://dx.doi.org/10.1038/s41598-017-15424-3]
13. Lavatelli, F.; Imperlini, E.; Orru, S.; Rognoni, P.; Sarnataro, D.; Palladini, G.; Malpasso, G.; Soriano, M.E.; Di Fonzo, A.; Valentini, V. et al. Novel mitochondrial protein interactors of immunoglobulin light chains causing heart amyloidosis. FASEB J. Off. Publ. Fed. Am. Soc. Exp. Biol.; 2015; 29, pp. 4614-4628. [DOI: https://dx.doi.org/10.1096/fj.15-272179]
14. Liao, R.; Jain, M.; Teller, P.; Connors, L.H.; Ngoy, S.; Skinner, M.; Falk, R.H.; Apstein, C.S. Infusion of light chains from patients with cardiac amyloidosis causes diastolic dysfunction in isolated mouse hearts. Circulation; 2001; 104, pp. 1594-1597. [DOI: https://dx.doi.org/10.1161/circ.104.14.1594]
15. Marin-Argany, M.; Guell-Bosch, J.; Blancas-Mejia, L.M.; Villegas, S.; Ramirez-Alvarado, M. Mutations can cause light chains to be too stable or too unstable to form amyloid fibrils. Protein Sci.; 2015; 24, pp. 1829-1840. [DOI: https://dx.doi.org/10.1002/pro.2790]
16. Shi, J.; Guan, J.; Jiang, B.; Brenner, D.A.; Del Monte, F.; Ward, J.E.; Connors, L.H.; Sawyer, D.B.; Semigran, M.J.; Macgillivray, T.E. et al. Amyloidogenic light chains induce cardiomyocyte contractile dysfunction and apoptosis via a non-canonical p38alpha MAPK pathway. Proc. Natl. Acad. Sci. USA; 2010; 107, pp. 4188-4193. [DOI: https://dx.doi.org/10.1073/pnas.0912263107]
17. Sikkink, L.A.; Ramirez-Alvarado, M. Cytotoxicity of amyloidogenic immunoglobulin light chains in cell culture. Cell Death Dis.; 2010; 1, e98. [DOI: https://dx.doi.org/10.1038/cddis.2010.75]
18. Merlini, G.; Dispenzieri, A.; Sanchorawala, V.; Schonland, S.O.; Palladini, G.; Hawkins, P.N.; Gertz, M.A. Systemic immunoglobulin light chain amyloidosis. Nat. Rev. Dis. Primers; 2018; 4, 38. [DOI: https://dx.doi.org/10.1038/s41572-018-0034-3] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/30361521]
19. Merlini, G.; Palladini, G. Light chain amyloidosis: The heart of the problem. Haematologica; 2013; 98, pp. 1492-1495. [DOI: https://dx.doi.org/10.3324/haematol.2013.094482] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/24091927]
20. Merlini, G.; Wechalekar, A.D.; Palladini, G. Systemic light chain amyloidosis: An update for treating physicians. Blood; 2013; 121, pp. 5124-5130. [DOI: https://dx.doi.org/10.1182/blood-2013-01-453001]
21. Palladini, G.; Dispenzieri, A.; Gertz, M.A.; Kumar, S.; Wechalekar, A.; Hawkins, P.N.; Schonland, S.; Hegenbart, U.; Comenzo, R.; Kastritis, E. et al. New criteria for response to treatment in immunoglobulin light chain amyloidosis based on free light chain measurement and cardiac biomarkers: Impact on survival outcomes. J. Clin. Oncol.; 2012; 30, pp. 4541-4549. [DOI: https://dx.doi.org/10.1200/JCO.2011.37.7614]
22. Vaxman, I.; Gertz, M. Recent advances in the diagnosis, risk stratification, and management of systemic light-chain amyloidosis. Acta Haematol.; 2019; 141, pp. 93-106. [DOI: https://dx.doi.org/10.1159/000495455] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/30650422]
23. Kazman, P.; Vielberg, M.T.; Pulido Cendales, M.D.; Hunziger, L.; Weber, B.; Hegenbart, U.; Zacharias, M.; Kohler, R.; Schonland, S.; Groll, M. et al. Fatal amyloid formation in a patient’s antibody light chain is caused by a single point mutation. eLife; 2020; 9, e52300. [DOI: https://dx.doi.org/10.7554/eLife.52300]
24. Klimtchuk, E.S.; Gursky, O.; Patel, R.S.; Laporte, K.L.; Connors, L.H.; Skinner, M.; Seldin, D.C. The critical role of the constant region in thermal stability and aggregation of amyloidogenic immunoglobulin light chain. Biochemistry; 2010; 49, pp. 9848-9857. [DOI: https://dx.doi.org/10.1021/bi101351c] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/20936823]
25. Maritan, M.; Romeo, M.; Oberti, L.; Sormanni, P.; Tasaki, M.; Russo, R.; Ambrosetti, A.; Motta, P.; Rognoni, P.; Mazzini, G. et al. Inherent biophysical properties modulate the toxicity of soluble amyloidogenic light chains. J. Mol. Biol.; 2020; 432, pp. 845-860. [DOI: https://dx.doi.org/10.1016/j.jmb.2019.12.015]
26. Morgan, G.J.; Kelly, J.W. The kinetic stability of a full-length antibody light chain dimer determines whether endoproteolysis can release amyloidogenic variable domains. J. Mol. Biol.; 2016; 428, pp. 4280-4297. [DOI: https://dx.doi.org/10.1016/j.jmb.2016.08.021]
27. Morgan, G.J.; Yan, N.L.; Mortenson, D.E.; Rennella, E.; Blundon, J.M.; Gwin, R.M.; Lin, C.Y.; Stanfield, R.L.; Brown, S.J.; Rosen, H. et al. Stabilization of amyloidogenic immunoglobulin light chains by small molecules. Proc. Natl. Acad. Sci. USA; 2019; 116, pp. 8360-8369. [DOI: https://dx.doi.org/10.1073/pnas.1817567116] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/30971495]
28. Oberti, L.; Rognoni, P.; Barbiroli, A.; Lavatelli, F.; Russo, R.; Maritan, M.; Palladini, G.; Bolognesi, M.; Merlini, G.; Ricagno, S. Concurrent structural and biophysical traits link with immunoglobulin light chains amyloid propensity. Sci. Rep.; 2017; 7, 16809. [DOI: https://dx.doi.org/10.1038/s41598-017-16953-7]
29. Rennella, E.; Morgan, G.J.; Yan, N.; Kelly, J.W.; Kay, L.E. The role of protein thermodynamics and primary structure in fibrillogenesis of variable domains from immunoglobulin light chains. J. Am. Chem. Soc.; 2019; 141, pp. 13562-13571. [DOI: https://dx.doi.org/10.1021/jacs.9b05499]
30. Weber, B.; Hora, M.; Kazman, P.; Gobl, C.; Camilloni, C.; Reif, B.; Buchner, J. The antibody light-chain linker regulates domain orientation and amyloidogenicity. J. Mol. Biol.; 2018; 430, pp. 4925-4940. [DOI: https://dx.doi.org/10.1016/j.jmb.2018.10.024]
31. Weber, B.; Hora, M.; Kazman, P.; Pradhan, T.; Ruhrnossl, F.; Reif, B.; Buchner, J. Domain interactions determine the amyloidogenicity of antibody light chain mutants. J. Mol. Biol.; 2020; 432, pp. 6187-6199. [DOI: https://dx.doi.org/10.1016/j.jmb.2020.10.005]
32. Blancas-Mejia, L.M.; Horn, T.J.; Marin-Argany, M.; Auton, M.; Tischer, A.; Ramirez-Alvarado, M. Thermodynamic and fibril formation studies of full length immunoglobulin light chain AL-09 and its germline protein using scan rate dependent thermal unfolding. Biophys. Chem.; 2015; 207, pp. 13-20. [DOI: https://dx.doi.org/10.1016/j.bpc.2015.07.005]
33. del Pozo-Yauner, L.; Wall, J.S.; Gonzalez Andrade, M.; Sanchez-Lopez, R.; Rodriguez-Ambriz, S.L.; Perez Carreon, J.I.; Ochoa-Leyva, A.; Fernandez-Velasco, D.A. The N-terminal strand modulates immunoglobulin light chain fibrillogenesis. Biochem. Biophys. Res. Commun.; 2014; 443, pp. 495-499. [DOI: https://dx.doi.org/10.1016/j.bbrc.2013.11.123] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/24321098]
34. Gonzalez-Andrade, M.; Becerril-Lujan, B.; Sanchez-Lopez, R.; Cecena-Alvarez, H.; Perez-Carreon, J.I.; Ortiz, E.; Fernandez-Velasco, D.A.; del Pozo-Yauner, L. Mutational and genetic determinants of lambda6 light chain amyloidogenesis. FEBS J.; 2013; 280, pp. 6173-6183. [DOI: https://dx.doi.org/10.1111/febs.12538]
35. Sternke-Hoffmann, R.; Boquoi, A.; Lopez, Y.N.D.; Platten, F.; Fenk, R.; Haas, R.; Buell, A.K. Biochemical and biophysical characterisation of immunoglobulin free light chains derived from an initially unbiased population of patients with light chain disease. PeerJ; 2020; 8, e8771. [DOI: https://dx.doi.org/10.7717/peerj.8771] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/32211238]
36. Garofalo, M.; Piccoli, L.; Romeo, M.; Barzago, M.M.; Ravasio, S.; Foglierini, M.; Matkovic, M.; Sgrignani, J.; De Gasparo, R.; Prunotto, M. et al. Machine learning analyses of antibody somatic mutations predict immunoglobulin light chain toxicity. Nat. Commun.; 2021; 12, 3532. [DOI: https://dx.doi.org/10.1038/s41467-021-23880-9]
37. Radamaker, L.; Baur, J.; Huhn, S.; Haupt, C.; Hegenbart, U.; Schonland, S.; Bansal, A.; Schmidt, M.; Fandrich, M. Cryo-EM reveals structural breaks in a patient-derived amyloid fibril from systemic AL amyloidosis. Nat. Commun.; 2021; 12, 875. [DOI: https://dx.doi.org/10.1038/s41467-021-21126-2]
38. Radamaker, L.; Karimi-Farsijani, S.; Andreotti, G.; Baur, J.; Neumann, M.; Schreiner, S.; Berghaus, N.; Motika, R.; Haupt, C.; Walther, P. et al. Role of mutations and post-translational modifications in systemic AL amyloidosis studied by cryo-EM. Nat. Commun.; 2021; 12, 6434. [DOI: https://dx.doi.org/10.1038/s41467-021-26553-9]
39. Radamaker, L.; Lin, Y.H.; Annamalai, K.; Huhn, S.; Hegenbart, U.; Schonland, S.O.; Fritz, G.; Schmidt, M.; Fandrich, M. Cryo-EM structure of a light chain-derived amyloid fibril from a patient with systemic AL amyloidosis. Nat. Commun.; 2019; 10, 1103. [DOI: https://dx.doi.org/10.1038/s41467-019-09032-0] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/30894526]
40. Swuec, P.; Lavatelli, F.; Tasaki, M.; Paissoni, C.; Rognoni, P.; Maritan, M.; Brambilla, F.; Milani, P.; Mauri, P.; Camilloni, C. et al. Cryo-EM structure of cardiac amyloid fibrils from an immunoglobulin light chain AL amyloidosis patient. Nat. Commun.; 2019; 10, 1269. [DOI: https://dx.doi.org/10.1038/s41467-019-09133-w] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/30894521]
41. Lavatelli, F.; Mazzini, G.; Ricagno, S.; Iavarone, F.; Rognoni, P.; Milani, P.; Nuvolone, M.; Swuec, P.; Caminito, S.; Tasaki, M. et al. Mass spectrometry characterization of light chain fragmentation sites in cardiac AL amyloidosis: Insights into the timing of proteolysis. J. Biol. Chem.; 2020; 295, pp. 16572-16584. [DOI: https://dx.doi.org/10.1074/jbc.RA120.013461]
42. Lavatelli, F.; Perlman, D.H.; Spencer, B.; Prokaeva, T.; McComb, M.E.; Theberge, R.; Connors, L.H.; Bellotti, V.; Seldin, D.C.; Merlini, G. et al. Amyloidogenic and associated proteins in systemic amyloidosis proteome of adipose tissue. Mol. Cell. Proteom.; 2008; 7, pp. 1570-1583. [DOI: https://dx.doi.org/10.1074/mcp.M700545-MCP200] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/18474516]
43. Mazzini, G.; Ricagno, S.; Caminito, S.; Rognoni, P.; Milani, P.; Nuvolone, M.; Basset, M.; Foli, A.; Russo, R.; Merlini, G. et al. Protease-sensitive regions in amyloid light chains: What a common pattern of fragmentation across organs suggests about aggregation. FEBS J.; 2021; [DOI: https://dx.doi.org/10.1111/febs.16182]
44. Schonfelder, J.; Pfeiffer, P.B.; Pradhan, T.; Bijzet, J.; Hazenberg, B.P.C.; Schonland, S.O.; Hegenbart, U.; Reif, B.; Haupt, C.; Fandrich, M. Protease resistance of ex vivo amyloid fibrils implies the proteolytic selection of disease-associated fibril morphologies. Amyloid Int. J. Exp. Clin. Investig. Off. J. Int. Soc. Amyloidosis; 2021; 28, pp. 1-9. [DOI: https://dx.doi.org/10.1080/13506129.2021.1960501] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/34338090]
45. Marin-Argany, M.; Lin, Y.; Misra, P.; Williams, A.; Wall, J.S.; Howell, K.G.; Elsbernd, L.R.; McClure, M.; Ramirez-Alvarado, M. Cell damage in light chain amyloidosis: Fibril internalization, toxicity and cell-mediated seeding. J. Biol. Chem.; 2016; 291, pp. 19813-19825. [DOI: https://dx.doi.org/10.1074/jbc.M116.736736]
46. Rubino, J.T.; Franz, K.J. Coordination chemistry of copper proteins: How nature handles a toxic cargo for essential function. J. Inorg. Biochem.; 2012; 107, pp. 129-143. [DOI: https://dx.doi.org/10.1016/j.jinorgbio.2011.11.024]
47. Pelaez-Aguilar, A.E.; Valdes-Garcia, G.; French-Pacheco, L.; Pastor, N.; Amero, C.; Rivillas-Acevedo, L. Site-specific interactions with copper promote amyloid fibril formation for lambda6aJL2-R24G. ACS Omega; 2020; 5, pp. 7085-7095. [DOI: https://dx.doi.org/10.1021/acsomega.9b03220]
48. Mishra, S.; Guan, J.; Plovie, E.; Seldin, D.C.; Connors, L.H.; Merlini, G.; Falk, R.H.; MacRae, C.A.; Liao, R. Human amyloidogenic light chain proteins result in cardiac dysfunction, cell death, and early mortality in zebrafish. Am. J. Physiol. Heart Circ. Physiol.; 2013; 305, pp. H95-H103. [DOI: https://dx.doi.org/10.1152/ajpheart.00186.2013] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/23624626]
49. Rognoni, P.; Lavatelli, F.; Casarini, S.; Palladini, G.; Verga, L.; Pedrazzoli, P.; Valentini, G.; Merlini, G.; Perfetti, V. A strategy for synthesis of pathogenic human immunoglobulin free light chains in E. coli. PLoS ONE; 2013; 8, e76022. [DOI: https://dx.doi.org/10.1371/journal.pone.0076022]
50. Duhr, S.; Braun, D. Why molecules move along a temperature gradient. Proc. Natl. Acad. Sci. USA; 2006; 103, pp. 19678-19682. [DOI: https://dx.doi.org/10.1073/pnas.0603873103] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/17164337]
51. Wienken, C.J.; Baaske, P.; Rothbauer, U.; Braun, D.; Duhr, S. Protein-binding assays in biological liquids using microscale thermophoresis. Nat. Commun.; 2010; 1, 100. [DOI: https://dx.doi.org/10.1038/ncomms1093] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/20981028]
52. Brautigam, C.A.; Zhao, H.; Vargas, C.; Keller, S.; Schuck, P. Integration and global analysis of isothermal titration calorimetry data for studying macromolecular interactions. Nat. Protoc.; 2016; 11, pp. 882-894. [DOI: https://dx.doi.org/10.1038/nprot.2016.044] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/27055097]
53. Scheuermann, T.H.; Padrick, S.B.; Gardner, K.H.; Brautigam, C.A. On the acquisition and analysis of microscale thermophoresis data. Anal. Biochem.; 2016; 496, pp. 79-93. [DOI: https://dx.doi.org/10.1016/j.ab.2015.12.013] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/26739938]
54. Team, R.C. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2013.
55. Wickham, H. ggplot2: Elegant Graphics for Data Analysis; 2nd ed. Springer International Publishing: Berlin/Heidelberg, Germany, 2016.
56. Wickham, H. tidyverse: Easily Install and Load the ‘Tidyverse. 2017.
57. Wickham, H.; Grolemund, G. R for Data Science; O’Reilly Media: Newton, MA, USA, 2017.
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Abstract
Light chain amyloidosis (AL) is caused by the aberrant overproduction of immunoglobulin light chains (LCs). The resulting abnormally high LC concentrations in blood lead to deposit formation in the heart and other target organs. Organ damage is caused not only by the accumulation of bulky amyloid deposits, but extensive clinical data indicate that circulating soluble LCs also exert cardiotoxic effects. The nematode C. elegans has been validated to recapitulate LC soluble toxicity in vivo, and in such a model a role for copper ions in increasing LC soluble toxicity has been reported. Here, we applied microscale thermophoresis, isothermal calorimetry and thermal melting to demonstrate the specific binding of Cu2+ to the variable domain of amyloidogenic H7 with a sub-micromolar affinity. Histidine residues present in the LC sequence are not involved in the binding, and yet their mutation to Ala reduces the soluble toxicity of H7. Copper ions bind to and destabilize the variable domains and induce a limited stabilization in this domain. In summary, the data reported here, elucidate the biochemical bases of the Cu2+-induced toxicity; moreover, they also show that copper binding is just one of the several biochemical traits contributing to LC soluble in vivo toxicity.
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1 Dipartimento di Fisiopatologia Medico-Chirurgica e Dei Trapianti, Università Degli Studi di Milano, 20090 Segrate, Italy;
2 Dipartimento di Biochimica e Farmacologia Molecolare, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 20156 Milan, Italy;
3 Institute of Molecular and Translational Cardiology, IRCCS Policlinico San Donato, 20097 Milan, Italy;
4 Dipartimento di Bioscienze, Università Degli Studi di Milano, 20133 Milano, Italy;
5 Dipartimento di Scienze per gli Alimenti, La Nutrizione e L’Ambiente, Università Degli Studi di Milano, 20133 Milan, Italy;
6 Institute of Molecular and Translational Cardiology, IRCCS Policlinico San Donato, 20097 Milan, Italy;
7 Institute of Molecular and Translational Cardiology, IRCCS Policlinico San Donato, 20097 Milan, Italy;
8 Amyloidosis Treatment and Research Center, Fondazione IRCCS Policlinico San Matteo, Università Degli Studi di Pavia, 27100 Pavia, Italy;
9 Institute of Molecular and Translational Cardiology, IRCCS Policlinico San Donato, 20097 Milan, Italy;