Open access
Antimicrobial Chemotherapy
Research Article
13 February 2024

Effect of the aggregated protein dye YAT2150 on Leishmania parasite viability

ABSTRACT

The problems associated with the drugs currently used to treat leishmaniasis, including resistance, toxicity, and the high cost of some formulations, call for the urgent identification of new therapeutic agents with novel modes of action. The aggregated protein dye YAT2150 has been found to be a potent antileishmanial compound, with a half-maximal inhibitory concentration (IC50) of approximately 0.5 µM against promastigote and amastigote stages of Leishmania infantum. The encapsulation in liposomes of YAT2150 significantly improved its in vitro IC50 to 0.37 and 0.19 µM in promastigotes and amastigotes, respectively, and increased the half-maximal cytotoxic concentration in human umbilical vein endothelial cells to >50 µM. YAT2150 became strongly fluorescent when binding intracellular protein deposits in Leishmania cells. This fluorescence pattern aligns with the proposed mode of action of this drug in the malaria parasite Plasmodium falciparum, the inhibition of protein aggregation. In Leishmania major, YAT2150 rapidly reduced ATP levels, suggesting an alternative antileishmanial mechanism. To the best of our knowledge, this first-in-class compound is the only one described so far having significant activity against both Plasmodium and Leishmania, thus being a potential drug for the treatment of co-infections of both parasites.

INTRODUCTION

Leishmaniasis is a neglected tropical disease caused by protozoan parasites of the Leishmania genus, of which more than 20 species can infect humans and other mammals (1). The parasite is transmitted to people through the bite of phlebotomine sandflies, where it is found as extracellular promastigotes, which are eventually phagocytized by macrophages, where they transform into the intracellular amastigote form. Depending on the infecting species and the host immune response, three main clinical manifestations of the disease arise: cutaneous leishmaniasis (CL), mucocutaneous leishmaniasis, and visceral leishmaniasis (VL). Visceral clinical manifestation is the most severe form of the disease and has a ca. 95% mortality rate if untreated. Estimates indicate a global annual incidence of 0.9 to 1.6 million cases of CL and around 90,000 of VL, most of them affecting low-income countries (2). In the European and African Mediterranean regions, Leishmania infantum and Leishmania major are, respectively, the main species causing a pathological condition. Current treatments for leishmaniasis vary depending on the clinical form but face several challenges, including drug resistance, toxicity concerns, administration as painful injections into the lesions, parenteral delivery, and the high cost of certain formulations (3). The lack of optimal treatment options has prompted the World Health Organization to prioritize the search for new therapeutic targets and drugs as critical for leishmaniasis eradication efforts (4).
Protein misfolding and aggregation are regarded as the molecular bases for numerous human pathologies, ranging from neurodegenerative diseases to cancer and type II diabetes (5). In these cases, toxicity arises from either the absence of properly functioning polypeptides or the formation of cytotoxic oligomers and/or fibrils. On the bright side, protein aggregation serves functional purposes in various organisms, e.g., as a rapid mechanism to respond to environmental challenges through stress granule formation (6) or uncovering genetic diversity needed in starvation (7), to facilitate the controlled release of peptidic hormones in secretory granules in a pH-dependent manner (8), or to promote synapse-specific changes that strengthen dendritic spines and contribute to memory consolidation (9). Recently, we described that in the human malaria parasite Plasmodium falciparum, protein aggregation presumably plays a functional role and that its inhibition is detrimental to the pathogen (10, 11). Motivated by these findings, we have explored in the current work the therapeutic potential of inhibiting protein aggregation for other parasitic diseases. We evaluated the effect of the aggregated protein dye YAT2150, a potent antiplasmodial drug with a half-maximal inhibitory concentration (IC50) of ca. 90 nM in in vitro P. falciparum cultures (11), on the viability of L. infantum promastigotes and amastigotes. Malaria and leishmaniasis are the first and second parasitic diseases, respectively, in number of deaths (12), in many cases with overlapping distribution, although the clinical study of co-infection with both pathogens has been mostly neglected (13). A good antileishmanial activity of YAT2150 could postulate it as a drug of choice for the treatment of malaria and leishmaniasis co-infections.

RESULTS AND DISCUSSION

Detection of protein aggregation in live L. infantum cells

Previous studies demonstrated the effectiveness of the red fluorescent dye ProteoStat to detect intracellular protein aggregates in live cells of the malaria parasite P. falciparum (10). However, a straightforward extrapolation of such analysis into Leishmania faces stark contrast to the theoretical predictions made for these two protozoa. Aggregation-prone proteomes usually result from genomes with a high proportion of AT bases, which in P. falciparum is 80.6% (14), while approximately 37.5% in L. major and L. infantum (15). Moreover, low-complexity regions, known to promote protein aggregation, constitute 12.2% of the entire genome in the Leishmania donovani complex (L. donovani and L. infantum) (16), while in P. falciparum, they represent ca. 49% of it (17). Finally, the predicted content in the L. infantum proteome of prion-like proteins (directly correlated with aggregation propensity) is merely 0.95% according to the PLAAC algorithm (18), significantly lower than for P. falciparum (9.40%) (19). Despite these differences, live L. infantum promastigotes and axenic amastigotes were strongly stained with ProteoStat (Fig. 1). The Manders’ correlation coefficient with the DNA dye Hoechst 33342 indicated a preferentially non-nuclear localization of the ProteoStat signal. These findings from in vitro cultures evidenced protein aggregation as a prevalent phenomenon in L. infantum.
Fig 1
Fig 1 Detection of intracellular protein aggregates in live L. infantum promastigotes and axenic amastigotes by confocal fluorescence microscopy using ProteoStat. M, Manders’ correlation coefficients indicating the fraction of ProteoStat co-localized with Hoechst 33342; DIC, differential interference contrast image.

Identification of aggregation-prone proteins in L. infantum promastigotes

To confirm that the observed ProteoStat staining reflected the presence of intracellular protein aggregates, we proceeded to identify aggregation-prone proteins present in live parasites. With that aim, a homogenate from L. infantum promastigotes resisting dissolution in the presence of 0.1% sodium dodecyl sulfate (SDS) was loaded in a polyacrylamide gel electrophoresis (PAGE), and the Coomassie Blue-stained material not entering the separating gel was excised and subjected to liquid chromatography with tandem mass spectrometry analysis (LC-MS/MS) (Fig. 2A and B). A total of 132 L. infantum proteins were identified (Table S1), which included a number of membrane proteins that in live cells are protected from aggregation as their hydrophobic stretches are mostly found inside a lipid bilayer. Therefore, proteins annotated as membrane or transmembrane in the UniProt database (20) were removed (Table S1, shadowed in gray), obtaining a group of 92 proteins (Table S1, non-shadowed), whose propensity to aggregate, as expected, was significantly higher than that of the rest of the Leishmania proteome (Fig. 2C).
Fig 2
Fig 2 Isolation of L. infantum proteins insoluble in 0.1% SDS. (A) Scheme of the process. (B) Coomassie Blue-stained SDS-PAGE fractionation of the 0.1% SDS-resistant sample. The arrowhead indicates the excised region subjected to LC-MS/MS analysis. (C) Aggregation propensity [Aggrescan score (21)] of the L. infantum proteins resisting solubilization in 0.1% SDS (excluding membrane proteins) vs. the proteome of the parasite. **P < 0.005. (D) GO enrichment analysis of the 92 non-membrane L. infantum proteins identified in 0.1% SDS-resistant aggregates, classified according to biological process, cellular component, and molecular function.
To functionally characterize the non-membrane proteins found in 0.1% SDS-resistant aggregates, a Gene Ontology (GO) enrichment analysis was performed (22). The enriched categories (Fig. 2D and Table S2) were mainly related to translation, with the ribosome, small ribosomal subunit and nucleosome as main cellular components, and protein heterodimerization activity, rRNA binding, and structural constituent of ribosome as some of the most represented molecular functions. Ribosomal activity is of singular importance in Leishmania since the absence of a regulated transcription by RNA polymerase II leaves the control of gene expression at the translational level (23). Ribosomal proteins often have a high cytoplasmic abundance in concentrations above their solubility limit, existing in a metastable state protected from aggregation by kinetic barriers and assisted by chaperones (24). It is conceivable that changing conditions such as the concentration of molecular components or the disruption of ribosomal complex assembly provoked by internal or external stresses, like changes in temperature, pH, or the presence of drugs, can affect the aggregation state of ribosomal proteins, thereby influencing parasite viability. Several studies have demonstrated a lack of correlation between protein abundance and mRNA levels in certain Leishmania species, as regulation predominantly occurs through post-transcriptional and post-translational mechanisms (25). Given this context, it is tempting to speculate that the parasite modulates the abundance of its ribosomal components, to either facilitate or impede their aggregation according to specific physiological requirements.

In vitro characterization of the aggregation of peptides selected from the live L. infantum aggregation-prone protein pool

Protein aggregation relies heavily on substantial sequential homology, and even minor mutations influence aggregation reactions (26). As the initial amyloid nucleation step can be expedited when preformed fibrils of the same protein or shorter variants containing the amyloid driver are present (27), highly amyloidogenic peptides found in L. infantum proteins with high aggregation propensity may exacerbate protein aggregation in the pathogen. To identify these peptides, proteins resistant to dissolution in 0.1% SDS were analyzed by machine-learning techniques for modeling protein tertiary structure (28) to discern peptides exposed to the solvent in their native state. Two peptides were selected, DNFIFGQ from the β chain of tubulin, a major microtubule component, and AISVFFLEP from the cleavage and polyadenylation specificity factor (CPSF)-like protein, involved in mRNA processing. Notably, both sequences exhibited high amyloidogenic propensity based on the amyloid prediction method WALTZ (29) (Table 1) and solvent exposure according to the AlphaFold structural model (30) (Fig. S1).
TABLE 1
TABLE 1 Amyloidogenic peptides selected from the aggregation-prone L. infantum protein pool non-solubilized by 0.1% SDS
Protein (UniProt accession)Peptide sequenceWALTZ score
Tubulin β chain (A0A381MS01)88DNFIFGQ9491.97
CPSF (A4I7V5)663AISVFFLEP67194.46
The in vitro aggregation of peptides DNFIFGQ and AISVFFLEP was confirmed by transmission electron microscopy (TEM) imaging and analysis of thioflavin T (ThT) fluorescence emission, an indicator of amyloid-like aggregation (31) (Fig. 3). Stretches of five or more continuous amino acids from the sequences of both peptides, especially for AISVFFLEP, are found in other L. infantum proteins (Table S3), which could contribute to boost their potential aggregative properties in live cells. Nevertheless, treatment for 72 h of L. infantum promastigotes with up to 100 µM of either peptide did not significantly affect the viability of this form of the parasite (2% and 0% growth inhibition in the presence of 100 µM DNFIFGQ and AISVFFLEP, respectively), despite both peptides bound and entered promastigotes according to flow cytometry and confocal fluorescence microscopy analysis (Fig. S2). Previous studies have succeeded with targeted aggregation in live plant cells by inducing the endogenous expression of aggregation-prone peptides, obtaining a visible specific phenotype (27). However, similar attempts failed to induce toxicity in P. falciparum (11) or human cell lines (32), likely by the difficulty of attaining a critical concentration of seeds necessary to sustain intracellular aggregation of the desired protein, discouraging this approach as a therapeutic alternative in Leishmania.
Fig 3
Fig 3 Characterization of the in vitro aggregation of peptides AISVFFLEP and DNFIFGQ. Representative TEM images (insets) and ThT fluorescence analyses are shown for 25 µM and 180 µM concentrations of both peptides, respectively. a.u., arbitrary units.

Effect of protein aggregation inhibitors in L. infantum cultures

The detection in live L. infantum of protein aggregates and the identification in the parasite of proteins containing amyloidogenic peptides mirrored similar phenomena recently observed in P. falciparum (10). In the latter pathogen, low concentrations (<100 nM) of certain β-sheet intercalators, which lowered the in vitro aggregation of amyloid peptides (33), clearly inhibited its growth (11). When testing the effect on L. infantum of some of these small molecules known to interfere with protein aggregation (Fig. 4), they significantly reduced the parasite’s viability (Table 2; Fig. S3). One of these compounds, YAT2150, stood out with an in vitro IC50 of around 0.52 µM against both promastigotes and amastigotes, which was ca. 54-, 20-, and 542-fold lower than that reported in promastigotes for the commonly used antileishmanial agents pentamidine (34), miltefosine (35), and paromomycin (36), respectively. Amphotericin B has a lower IC50 (0.04 µM in promastigotes) (37), but frequently associated nephrotoxicity has limited its clinical use, a drawback absent in its liposomal formulations (38). The half-maximal cytotoxic concentration (CC50) of YAT2150 for human umbilical vein endothelial cells was 3.4 ± 0.5 µM, which resulted in a modest selectivity index (SI: CC50/IC50) of approximately 7.
Fig 4
Fig 4 Chemical structures of different compounds which interfere with protein aggregation (33) and inhibit the growth of P. falciparum (11). The inset shows the fluorescence excitation/emission spectrum of YAT2150.
TABLE 2
TABLE 2 Effect of the compounds from Fig. 4 on the viability of L. infantum promastigotes and amastigotes
 IC50 promastigotes (µM)IC50 amastigotes (µM)CC50a (µM)Selectivity indexb (CC50/IC50)
YAT21500.52 ± 0.070.51 ± 0.113.4 ± 0.56.6
DONE3TCl2.09 ± 0.400.62 ± 0.08c12.6 ± 2.26.0
HUPNTCl2.03 ± 0.191.04 ± 0.21c6.3 ± 0.53.1
HUPNTH2.37 ± 1.401.52 ± 0.66c3.4 ± 1.01.4
HUP7TH1.23 ± 0.420.92 ± 0.38c7.8 ± 3.46.4
HUP8TH0.99 ± 0.471.63 ± 0.34c4.9 ± 1.34.9
HUP9TH0.88 ± 0.290.57 ± 0.13c4.9 ± 1.05.6
HUPH10TH0.72 ± 0.110.97 ± 0.21c3.4 ± 0.14.7
a
Cytotoxicity assayed in human umbilical vein endothelial cells.
b
For promastigotes.
c
n = 2.
Leishmania differentiation from promastigotes to amastigotes is induced by acid pH and high temperature (39, 40), two factors which increase protein aggregation (41, 42). The antileishmanial effect of certain peptide aggregation inhibitors on amastigotes might be related to the upsetting of some essential differentiation mechanism in the parasite. In agreement with its proposed activity as a protein aggregation inhibitor in P. falciparum (11), at physiologically relevant concentrations below its in vitro IC50, YAT2150 reduced in L. infantum promastigote cultures the overall aggregation of the parasite’s proteins according to ThT analysis (Fig. 5). This result suggested that one of the antileishmanial mechanisms of action of this compound might be related to interfering with the aggregative state of certain proteins in the pathogen. The possibility that such interference hampers particular protein-protein interactions, which might be part of, e.g., essential transcription factor networks whose disruption would compromise parasite viability, remains to be explored in detail.
Fig 5
Fig 5 Thioflavin T (ThT) fluorescence of L. infantum culture extracts adjusted to have equal protein content, either non-treated or treated with YAT2150 at its in vitro IC10 (0.15 µM) and IC40 (0.3 µM), for 90 min and 4 h (n = 3). The arbitrary units (a.u.) of fluorescence intensity are normalized relative to a value of 100 assigned to the untreated promastigotes + ThT sample. Error bars indicate standard deviation.

Physical and pharmacological properties and early safety profiling of YAT2150

To explore the potential of YAT2150 to become a therapeutic agent, its druglikeness has been addressed through a preliminary assessment of physical and drug metabolism and pharmacokinetics (DMPK) properties and of its tolerability (Table 3). The solubility of YAT2150, measured at 37°C in phosphate-buffered saline (PBS) containing 1% dimethyl sulfoxide (DMSO), was found to be 8.5 µM, which indicated a favorable aqueous solubility at a concentration of up to 16-fold higher than its IC50. YAT2150 is moderately lipophilic, with a calculated logP below 5 (clogP = 3.37), i.e., compliant with Lipinski’s rule of five (43). Some pharmacokinetic parameters related to intestinal absorption and metabolism were also determined. The intestinal absorption of YAT2150 was assessed using the Caco-2 permeability assay, commonly used to predict the in vivo absorption of drugs. The transport across a Caco-2 cell monolayer was determined in both directions, so that not only absorption but also active efflux could be determined. These assays demonstrated a high absorption (>200 nm/s) and moderate efflux (ca. 100 nm/s) for YAT2150, resulting in a favorable efflux ratio of 0.48. The metabolic stability of YAT2150 was determined in human plasma, human microsomes, and human hepatocytes. When incubated at 37°C with human plasma from healthy donors, YAT2150 was perfectly stable after 2 h and 91% of the compound still remained unchanged after 6 h of incubation. YAT2150 showed also a good stability in human microsomes: 55% of the compound remained unchanged after 1 h of incubation at 37°C, displaying a half-life of 80 min and a microsomal intrinsic clearance (CLint) of 10.6 µL/min/mg protein, i.e., below 15 µL/min/mg protein, thereby behaving as a low clearance compound (44). The stability of YAT2150 in human hepatocytes was still higher, with 70% of it remaining unchanged after 2 h of incubation at 37°C, a longer half-life of 277 min and a low intrinsic clearance (2.5 µL/min/106 cells). Overall, YAT2150 has quite favorable metabolic stability and should not be eliminated too fast from the organism. With regard to the safety profile, apart from its moderate selectivity index relative to human umbilical vein endothelial cells, the inhibitory effects of YAT2150 on some cytochrome P450 (CYP) isoforms commonly involved in drug metabolism were evaluated. At 10 µM, i.e., a 20-fold higher concentration than its IC50 against L. infantum promastigotes, YAT2150 inhibited CYP1A2 and CYP2C9 by around 50%, while the inhibition of CYP2C19 and CYP2D6 was two- and threefold less potent, respectively, than its antileishmanial effect. Despite the overall good DMPK profile, the eventual future pharmacological development of YAT2150 will probably require its optimization through the synthesis of improved derivatives (45), in a similar way as it has been reported for, e.g., DNDI-6148, a preclinical candidate for the treatment of VL (46).
TABLE 3
TABLE 3 DMPK and early safety properties of YAT2150
Physicochemical properties
Molecular mass832.85 Da
Aqueous solubilitya8.5 µM
Lipophilicity (clogP)b3.37
Pharmacokinetic parameters
Intestinal absorption
 Papp AB (nm/s)Papp BA (nm/s)Efflux ratio
Caco-2 permeabilityc207.6 ± 20.1100.6 ± 0.40.48
Metabolic stability
 % remainingdt1/2 (min)eCLintf
Plasma stabilityg100.0% after 1 h
99.7% after 2 h
91.3% after 6 h
Microsomal stabilityg54.6% after 1 h80.510.6 µL/min/mg protein
Hepatocyte stabilityg70.4% after 2 h277.32.5 µL/min/106 cells
Safety profiling (CYP inhibition)h
CYP1A255% ± 1% inhibition at 10 µM
CYP2C951% ± 4% inhibition at 10 µM
CYP2C19IC50 = 1.1 µM
CYP2D6IC50 = 1.7 µM
a
Kinetic solubility at 37°C in PBS containing 1% DMSO.
b
Calculated using Molinspiration.
c
Transport of compound from A→B (AB) and B→A (BA) in Caco-2 cells incubated at 37°C; apparent permeability (Papp) values in nm/s; efflux ratio = Papp BA/Papp AB.
d
Percentage unchanged compound after a given incubation time.
e
Half-life in min.
f
Intrinsic clearance.
g
Stability of the compound in human plasma, human microsomes, or human hepatocytes at 37°C.
h
Inhibition potential of YAT2150 using human recombinant cytochrome P450 enzymes at 37°C.

Effect of YAT2150 on L. major ATP levels

Due to the experimental availability of promastigotes of a strain of L. major (a species associated with cutaneous leishmaniasis) used as a real-time in vivo sensor for variation of intracellular ATP levels (47), we tested energy metabolism as a potential target for YAT2150. The extrapolation of the results of this approach to L. infantum relies on the relative promiscuity of the interactions underlying the protein aggregation phenomenon and the high homology between L. infantum and L. major proteomes. A comparative UniProt BLAST analysis between both species of the proteins in Table S1 showed amino acid sequence homology exceeding 90% for most of them, with only 7 out of 132 proteins below 80%.
For the determination of ATP levels, promastigotes expressing a cytoplasmic form of firefly luciferase were used, and, to overcome the poor membrane permeability of luciferin, the membrane-permeable derivative 1-(4,5-dimethoxy-2-nitrophenyl)ethyl ester (DMNPE)-luciferin was employed. Under these conditions, ATP is the limiting substrate for the luminescence reaction in living parasites. Upon exposure to YAT2150, a concentration-dependent reduction in luminescence was observed for concentrations beyond 2 µM (Fig. 6). The disparity between this threshold concentration for YAT2150 and its IC50 may likely obey to the higher density of promastigotes required in the ATP experiment, as, presumably, YAT2150 operates via a stoichiometric mechanism to disrupt or prevent the formation of aggregated structures. Furthermore, a rapid response was sought to ensure that the decline in ATP levels represented a primary target rather than a consequence of overall microorganism deterioration. Currently, it remains unclear whether the decrease of protein aggregation and the drop in ATP are interconnected or independent of each other. In the former hypothesis, it could be postulated that physiological aggregation serves as a protective mechanism against a potentially toxic protein fragment or peptide, which could disrupt the energy metabolism of Leishmania. In the latter scenario, the existence of an additional target for YAT2150 might complicate the rational design of new analogs, but, on the other side, it would also hamper the evolution of resistance against this molecule.
Fig 6
Fig 6 Luciferase assay for the assessment of free intracellular ATP levels in YAT2150-treated L. major promastigotes.

Fluorescence microscopy analysis of YAT2150 staining of L. infantum

As expected from being the main component of ProteoStat, the fluorescence of YAT2150 was strong in L. infantum promastigotes and axenic amastigotes (Fig. S4). YAT2150-stained promastigotes were observed in macrophages that had been incubated in their presence for 24 h (Fig. 7A). However, it could not be unequivocally determined whether these intracellular parasites were amastigotes, recently phagocytosed promastigotes, or intermediate forms. When macrophages exposed to L. infantum promastigotes that had been stained with carboxyfluorescein succinimidyl ester (CFSE) were treated for 6 h with YAT2150, sufficient to stain vesicular structures in the cytosol of macrophages, no YAT2150 signal could be observed in the phagolysosomes containing Leishmania (Fig. 7B). Although this result might indicate a potential lack of permeability of YAT2150 across phagolysosome membranes, it could also be due to a loss or significant reduction of intracellular protein aggregates in Leishmania parasites in phagolysosomes, in a similar way as it has been described in P. falciparum following its invasion of red blood cells (10, 11). The presence in L. infantum promastigotes of an aggregated protein coat might be a protective barrier for the parasite in the hostile extracellular environment, not required anymore inside the phagolysosome. Another possible function of an aggregated protein structure in promastigotes could be related to interactions with certain macrophage receptors required as part of the phagocytosis mechanism. Overall, YAT2150 might be staining dynamic protein associations that are required in promastigotes but not in intracellular amastigotes, where they would progressively disassemble. In agreement with this hypothesis, it has been established that the surface coat of amastigotes is notably less complex than that of promastigotes (48).
Fig 7
Fig 7 Fluorescence microscopy analysis of YAT2150 staining of L. infantum promastigote-exposed RAW 264.7 macrophages. (A) Confocal fluorescence microscopy images of live macrophages incubated for 24 h in the presence of L. infantum promastigotes that had been pre-stained for 1 h with 0.38 µM YAT2150. Cell membranes were stained with Oregon Green-conjugated wheat germ agglutinin (WGA). Arrowheads indicate promastigotes outside macrophages. (B) Fluorescence microscopy image of live macrophages exposed to CFSE-stained L. infantum. Nuclei were stained for 10 min with 2 µg/mL Hoechst 33342 and protein aggregates for 6 h with 0.38 µM YAT2150. The arrowhead indicates a Leishmania-containing phagolysosome.

In vitro activity on L. infantum growth of YAT2150 encapsulated in liposomes

In addition to the synthesis of chemical derivatives mentioned above, a second strategy commonly used to improve the selectivity index of drugs is their encapsulation in targeted nanocarriers. Here, to increase the therapeutic window of YAT2150, its incorporation into liposomes was assayed. Targeted delivery offers the potential of reducing drug cytotoxicity through encapsulation (which screens non-specific interactions) and increasing antiparasitic potency through the local accumulation in or near Leishmania cells. Building upon our previous success in enhancing the activity of antimalarials through encapsulation in targeted immunoliposomes (49), a similar approach for YAT2150 was taken. This strategy benefits from the lipophilic properties of YAT2150 to undergo a preferential partition into the lipid bilayer of liposomes, as shown using giant unilamellar vesicles (GUVs) as a membrane model (Fig. 8).
Fig 8
Fig 8 Confocal fluorescence microscopy analysis of the encapsulation of 2.5 µM YAT2150 in GUVs (10 mM total lipid concentration; see Materials and Methods for GUV lipid composition). To stain the lipid bilayer, the lipid carboxyfluorescein-phosphatidylethanolamine (CF-PE) was included in the GUV formulation. DIC, differential interference contrast image.
Drug-encapsulating liposomes were prepared with an estimated final concentration of 60 µM YAT2150 (for 10 mM total lipid), corresponding to an encapsulation efficiency of 60%. YAT2150-loaded liposomes showed a growth inhibition activity against L. infantum amastigotes and promastigotes higher than that of the free drug (Table 4). As an attempt to increase specificity toward Leishmania cells, an antibody raised against lipophosphoglycan (LPG), the major parasite surface glycoconjugate which is present in large numbers in promastigotes and to a lesser extent in amastigote-containing macrophages (50) (Fig. S5), was conjugated to liposomes (Fig. S6). However, the incorporation of anti-LPG antibodies to liposomes did not improve drug activity in amastigotes and did it only marginally in promastigotes, suggesting that LPG might not be an adequate antigen for targeted drug delivery approaches against Leishmania. The unspecific cytotoxicity of liposome-encapsulated YAT2150 decreased to a CC50 > 50 µM, thus increasing the SI of this drug formulation to above 100. Encapsulation of YAT2150 might offer the additional benefit of minimizing its interaction with cell membranes, thus contributing to reduce its presumably high biodistribution, which would be an important issue regarding an eventual future pharmaceutical development.
TABLE 4
TABLE 4 Determination of diameter, polydispersity index, IC50 in L. infantum promastigotes and amastigotes, and CC50 of YAT2150 encapsulated in liposomes and in immunoliposomes functionalized with antibodies against LPG
 Diameter (nm)Polydispersity indexIC50 promastigotes (µM)IC50 amastigotes (µM)CC50 (µM)SI
YAT2150 in solution0.52 ± 0.070.51 ± 0.113.4 ± 0.56.6
YAT2150-liposomes154.7 ± 1.80.113 ± 0.0250.37 ± 0.01a0.19 ± 0.02b>50>100
YAT2150-immunoliposomes155.3 ± 0.90.130 ± 0.0090.34 ± 0.02b0.35 ± 0.08>50>100
a
P < 0.05.
b
P < 0.005.
As expected, confocal fluorescence microscopy analysis of live L. infantum cells treated with YAT2150 encapsulated in liposomes (Fig. S7) and anti-LPG immunoliposomes (Fig. 9) showed the drug’s fluorescence associated to promastigotes (Fig. 9A) and in parasite-treated macrophages (Fig. 9B). However, in this case, YAT2150 fluorescence could be occasionally observed co-localizing with the parasite inside phagolysosomes (Fig. 9C), perhaps reflecting an improved entry facilitated by liposome encapsulation.
Fig 9
Fig 9 Confocal fluorescence microscopy analysis of the cell targeting of 0.38 µM YAT2150 encapsulated in fluorescein-labeled anti-LPG immunoliposomes. (A) Live L. infantum promastigotes were incubated for 1 h with immunoliposomes, stained for 20 min with 4 µg/mL Hoechst 33342 to reveal nuclei, and fixed with 3% paraformaldehyde. (B, C) RAW 264.7 macrophages that had been exposed to L. infantum promastigotes were incubated for 3 h with immunoliposomes, stained for 10 min with 2 µg/mL Hoechst 33342, and fixed. The green fluorescence corresponds to CF-PE incorporated in the liposome formulation. The arrowhead indicates a Leishmania amastigote inside its phagolysosome.

Conclusions

Treatment of L. infantum cultures with peptide aggregation inhibitors showed a significant in vitro antileishmanial effect. In particular, the compound YAT2150 had a better in vitro activity against L. infantum (IC50 of ca. 0.5 µM for both amastigote and promastigote forms) than some drugs currently used for the clinical treatment of leishmaniasis, such as miltefosine, pentamidine, and paromomycin. Encapsulation in liposomes of YAT2150 significantly improved the in vitro antileishmanial activity relative to the free drug and reduced its unspecific cytotoxicity, which led to a SI > 100 and therefore to good perspectives regarding preclinical assays of this compound or of its eventual future derivatives having less toxicity and/or higher antiparasitic activity. The antileishmanial mode of action of YAT2150 might be multipronged, with protein aggregation and ATP biosynthesis as potential cellular targets. The properties of YAT2150 that postulate it as an excellent drug candidate against Plasmodium and Leishmania hold promise for its use in the treatment of co-infections of both pathogens.

MATERIALS AND METHODS

Reagents

Except where otherwise indicated, reagents were purchased from Sigma-Aldrich Corporation (St. Louis, MO, US), and reactions were performed at room temperature (22°C–24°C). The tested compounds were synthesized as previously described (11, 5153).

Data acquisition and bioinformatics analysis

The reference L. infantum proteome (JPCM5, proteome ID UP000008153) was downloaded from UniProt [release 2022_01 (20)]. The subcellular location of L. infantum proteins was extracted from UniProt annotations and manually cured. Transmembrane annotated proteins were analyzed with DeepTMHMM v1.0.15, an improved version of TMHMM 2.0 [https://dtu.biolib.com/DeepTMHMM/ (54)], capable of identifying transmembrane beta-barrels. Propensity to protein aggregation was assessed using the Aggrescan prediction method (21), and the Normalized a4vSS for 100 residues (Na4vSS) was acquired as the aggregation reporter. Sequences over 6000 residues were divided into smaller fragments, and the Na4vSS for the whole ensemble was calculated. For the L. infantum full proteome, the mean aggregation propensity is displayed. The content in prion-like proteins was assessed with the PLAAC algorithm (18) using the whole proteome for each case as the background probability, and those proteins with at least one window with COREscore > 0 were considered prion-like. Structures for L. infantum tubulin β chain (A0A381MS01) and cleavage and polyadenylation specificity factor-like protein (A4I7V5) were obtained from the AlphaFold database (30) version 3 and colored with Pymol. Amyloid prediction was carried out with Waltz (29) in its default “best overall performance” mode. GO enrichment analysis was performed with the functional annotation tool of the Database for Annotation, Visualization and Integrated Discovery knowledge base update v2022q3 (22), where GO terms annotated directly by the source (GO_DIRECT category) were selected and the L. infantum JPCM5 data set was chosen as background.

Peptide synthesis

Acetyl-DNFIFGQ-amide and acetyl-AISVFFLEP-amide were synthesized at a 0.1-mmol scale on H-Rink amide-ChemMatrix resin (PCAS BioMatrix Inc., Saint-Jean-sur-Richelieu, QC, Canada) in a Prelude (Gyros Protein Technologies AB, Uppsala, Sweden) synthesizer running Fmoc solid-phase peptide synthesis (SPPS) protocols. After chain assembly, the N-terminus was deprotected and acetylated (acetic anhydride/N,N-diisopropylethylamine, 1 mmol each, 45 min, dimethylformamide), prior to full deprotection and cleavage with trifluoroacetic acid (TFA)/H2O/triisopropyl-silane (95:2.5:2.5 vol/vol), 90 min, at room temperature. Peptides were precipitated from the TFA solution by the addition of cold diethyl ether followed by centrifugation (3 × 4800 rpm, 5 min, 4°C), taken up in water, and lyophilized. Crude peptides were checked by analytical reverse-phase high-performance liquid chromatography (RP-HPLC) and liquid chromatography-mass spectrometry (LC-MS) and purified by preparative RP-HPLC. Analytical RP-HPLC was performed on a LC-20AD instrument (Shimadzu Corporation, Kyoto, Japan) equipped with a Luna C18 column (3 µm, 4.6 mm × 50 mm; Phenomenex, Torrance, CA, US) using linear gradients of solvent B [0.036% TFA in acetonitrile (ACN)] into A (0.045% TFA in H2O) over 15 min, at a flow rate of 1 mL/min and UV detection at 220 nm. Preparative RP-HPLC was performed on a LC-8 instrument (Shimadzu Corporation) fitted with a Luna C18 column (10 µm, 21.2 mm × 250 mm; Phenomenex), using linear gradients of solvent D (0.1% TFA in ACN) into C (0.1% TFA in H2O) over 30 min, with a flow rate of 25 mL/min. MS analysis was performed on a LC-MS 2010EV instrument (Shimadzu Corporation) fitted with an XBridge C18 column (3.5 µm, 4.6 mm × 150 mm; Waters, Cerdanyola del Vallès, Spain), eluting with linear gradients of F [0.08% formic acid (FA) in ACN] into E (0.1% FA in H2O) over 15 min at a 1-mL/min flow rate. Fractions with the expected mass and >95% purity by LC-MS were pooled and lyophilized. Peptide stock solutions were prepared in sterile deionized water and stored at ‒20°C. Fluorescent versions of the peptides were prepared by coupling 5(6)-carboxyfluorescein to the N-terminus of the peptide resins, as described for acetylation. The fluorescein(Flu)-labeled Flu-DNFIFGQ-amide and Flu-AISVFFLEP-amide were obtained after resin cleavage, preparative RP-HPLC purification, and LC-MS characterization as above.

In vitro peptide aggregation assays

To completely disaggregate the peptides before the assay, around 15 mg of each lyophilized peptide was dissolved in 1 mL of TFA. After thoroughly mixing, TFA was evaporated under a N2 stream and 0.5 mL of 1,1,1,3,3,3-hexafluoro-2-propanol (HFIP) was added, mixed well, and evaporated as before (repeated twice to fully remove TFA). Then, 2 mL of HFIP was added, 40-nM peptide aliquots were prepared in low-binding Eppendorf tubes (Eppendorf, Hamburg, Germany), and HFIP was evaporated overnight in a desiccator. For aggregation assays, peptide stocks were prepared in PBS at a final concentration of 200 µM peptide and incubated at 37°C under stirring at 1,400 rpm in a ThermoMixer (Eppendorf) for 24 h (t24h). Then, in a 96-well flat-bottom black plate (Greiner Bio-One, Frickenhausen, Germany), the peptide solutions were diluted in PBS and ThT was added to obtain final concentrations of 180 µM peptide and 25 µM ThT. The fluorescence emission of ThT was collected from 460 to 800 nm using an excitation wavelength of 450 nm (Infinite Nano+ multimode microplate reader; Tecan Trading AG, Männedorf, Switzerland). As a non-aggregation control, the ThT fluorescence of a freshly disaggregated 180 µM peptide solution (t0) was measured.

Transmission electron microscopy

Peptides (25 µM) were incubated in PBS at 37°C for 24 h under orbital stirring at 300 rpm. After 5 min of water bath sonication (FB15053 ultrasonic bath; Thermo Fisher Scientific Inc., Waltham, MA, US), a 5-µL drop of the peptide solution was deposited onto a carbon-coated copper grid (Ted Pella, Redding, CA, US). Next, 5 µL of 2% uranyl acetate was added and left for 5 min before washing it away with H2O. The resulting samples were observed with a JEM 1010 transmission electron microscope (JEOL Ltd., Tokyo, Japan). Images were acquired using an Orius 832 CCD camera (Gatan Inc., Pleasanton, CA, US).

Encapsulation of YAT2150 in liposomes

Liposomes were prepared by the thin lipid film hydration method (55). Briefly, the lipids 1,2-dioleoyl-sn-glycero-3-phosphocholine (DOPC):1,2-distearoyl-sn-glycero-3-phosphoethanolamine-N-[maleimide(polyethylene glycol)−2000] (DSPE-PEG-Mal):cholesterol (75:5:20 molar ratio) were mixed in chloroform:methanol (2:1 vol/vol) in a glass vial together with 100 µM YAT2150 from a YAT2150 stock solution in DMSO. Organic solvents were removed by evaporation under nitrogen. The thin lipid film formed on the vial walls was hydrated in PBS, in a volume corresponding to a final lipid concentration of 10 mM. Then, three rounds of constant vortexing for 2 min followed by bath sonication at 35°C for 3 min (FB15053 ultrasonic bath) were performed. Liposomes were extruded through 200 nm polycarbonate membranes (Avanti Polar Lipids Inc., Alabaster, AL, US) using a mini extruder device (Avanti Polar Lipids Inc.). Non-encapsulated YAT2150 was removed by pelleting liposomes by ultracentrifugation (150,000 × g, 1 h, 4°C) and replacing the supernatant by PBS, except in the case of cytotoxicity assays, where the pellet was taken up in Medium 199 (M-199) supplemented with 1% penicillin-streptomycin. Fluorescein-labeled liposomes containing a molar ratio of 0.5% CF-PE were prepared as described above, except for a reduced DOPC content of 74.5%. The average diameter and polydispersity index of liposomes were measured after 1:100 sample dilution in PBS, using a Zetasizer NanoZS90 (Malvern Ltd., Malvern, UK). To determine the drug content, liposomes were disrupted by treatment with one volume of 4% SDS, and YAT2150 was quantified by absorbance spectroscopy at a wavelength of 490 nm (Epoch microplate spectrophotometer; BioTek Instruments Inc., Winooski, VT, US). Encapsulation efficiencies are defined as the fraction of YAT2150 in the liposome pool, after ultracentrifugation, relative to the initial amount of drug added to the liposomes. The amount of YAT2150 in the sample is expressed relative to the total lipid concentration of 10 mM, assuming that all the lipids end up in liposomes.

Immunoliposome preparation and characterization

Immunoliposomes were prepared by attaching the anti-lipophosphoglycan (LPG) monoclonal IgM antibody CA7AE (Bio-Rad, Hercules, CA, US) to the maleimide group of DSPE-PEG-Mal following established protocols (49). The N-succinimidyl S-acetylthioacetate crosslinker (SATA; Thermo Fisher Scientific Inc.) was first coupled to the antibody at a molar ratio of 1:10 (1 mg antibody/mL in 350 µL of PBS) through an incubation step of 30 min at room temperature. Non-reacted SATA was removed by buffer exchange. Thioester groups from SATA-anti-LPG antibody were deacetylated with 0.1 volumes of deacetylation solution (0.5 M hydroxylamine, 25 mM EDTA in PBS) and incubated for 2 h at room temperature. Then, another buffer exchange was performed with PBS containing 10 mM EDTA to remove the remaining deacetylation solution. To 100 µL (10 mM total lipid in PBS) of a suspension of liposomes exposing maleimide groups and carrying YAT2150, were added 55 µL of thiolated SATA-anti-LPG antibody and 45 µL of PBS supplemented with 10 mM EDTA. The resulting sample was incubated for 17 h at room temperature, when unbound SATA-anti-LPG antibody and YAT2150 were removed by ultracentrifugation (150,000 × g, 1 h, 4°C) and replaced with PBS containing 10 mM EDTA. The YAT2150 concentration in immunoliposomes was quantified as specified above.
The presence of anti-LPG antibody and YAT2150 in liposomes was assessed by SDS-PAGE. Ten microliters of each sample was mixed with 10 µL of 2× Laemmli sample buffer (0.125 M tris base, 4% SDS, 20% glycerol, 10% 2-mercaptoethanol, and 2 mg/mL bromophenol blue) and heated at 95°C for 5 min. Then, the samples were run in a 12% SDS-PAGE (Mini Protean II System; Bio-Rad), and the gel was stained with silver nitrate following the next steps: fixation (40% ethanol, 10% acetic acid) for 30 min, washing three times with deionized water (Milli-Q system; Millipore Corporation, Burlington, MA, US), staining for 40 min (1 mg/mL silver nitrate, 0.02% formaldehyde), and developing (25 mg/mL Na2CO3, 0.01% formaldehyde) until visualization of the protein bands, when 1% acetic acid was used to stop the reaction. Then, the YAT2150 fluorescent signal was detected in a LAS 4000 reader (ImageQuant TL; GE Healthcare, Chicago, IL, US) with the Cy3 filter, and an image of the protein bands was taken by white epi-digitalization.

Gel-assisted formation of giant unilamellar vesicles

GUVs were produced by the gel-assisted method with minor modifications (56). A 5% (wt/wt) polyvinyl alcohol (PVA, 145 kDa; Merck, Darmstadt, Germany) solution was prepared in PBS at 90°C and used to coat a microscope coverslip which was later dried for 30 min in an oven at 50°C. Then, 20 µL of the lipid formulation (10 mM total lipid) DOPC:cholesterol:CF-PE (79.5:20:0.5 molar ratio) was spread over the dried PVA. To evaporate the solvent, the glass slide was placed under vacuum for 30 min at room temperature. Two coverslips and a Teflon spacer were assembled forming a chamber (2-mL volume) that was filled with PBS. One hour later, GUVs were harvested and YAT2150 was added at a final concentration of 2.5 µM. Fifteen microliters of the resulting GUV suspension was transferred to a 2% bovine serum albumin (BSA)-coated coverslip and observed with a Leica TCS SP5 laser scanning confocal fluorescence microscope (Leica Microsystems, Wetzlar, Germany). Fluorescein and YAT2150 were detected by excitation at 488 and 561 nm and emission collection in ranges 497–543 and 572–657 nm, respectively.

Cytotoxicity assays

Human umbilical vein endothelial cells were maintained in M-199 supplemented with 10% fetal bovine serum (FBS) and 1% penicillin-streptomycin at 37°C, 5% CO2, and seeded in 96-well plates at a density of 50,000 cells/mL. After allowing cell adherence for 24 h, the medium was removed, and drugs or nanoformulations were added in M-199 supplemented with 1% penicillin-streptomycin. Plates were incubated for 48 h, and then, the medium in each well was replaced by 100 µL of M-199 containing penicillin-streptomycin and 0.00125% resazurin sodium salt (Sigma-Aldrich Corporation). Plates were incubated for 4 h, and resorufin fluorescence emission was measured (λex/em: 535/590 nm) in a Tecan Infinite 200 PRO equipment (Tecan Trading AG).

Solubility screen assay

The stock solutions (10‒2 M) of the assayed compounds were diluted to decreased molarity, from 300 μM to 0.1 µM, in a 384-well transparent plate (Greiner Bio-One, Madrid, Spain) with DMSO:PBS (1:99 vol/vol). After 2 h of incubation at 37°C, the plate was read in a NEPHELOstar Plus nephelometer (BMG LABTECH GmbH, Ortenberg, Germany) at 635 nm. The results were adjusted to a segmented regression to obtain the maximum concentration at which the compounds were soluble.

Human plasma stability assay

Plates (96-well Polypropylene Deep Well Plate; Corning Inc., Somerville, MA, US) containing 100 µL of 5 µM compounds in human plasma (Seralab, Granollers, Spain), pooled from healthy donors and extracted in citrate tubes, were incubated at 37°C for different times (0, 60, 120, and 360 min). Then, 300 µL ACN was added to precipitate plasma protein, and the plate was centrifuged at 4000 × g for 60 min at 4°C. For sample quantification, the resulting supernatant was taken and analyzed by ultra performance liquid chromatography with tandem mass spectrometry (UPLC-MS/MS; ACQUITY Xevo TQD UPLC QSM; Waters) in an ACQUITY BEH C18 column (1.7 µm, 2.1 × 50 mm; Waters). As mobile phase (0.6 mL/min flow rate) was used the following gradient of 0.1% formic acid in water (A) or in ACN (B): 95% A:5% B from 0 to 0.1 min, gradual increase to 100% B from 0.1 to 1 min, maintenance in 100% B from 1 to 2 min, return to 95% A:5% B from 2 to 2.1 min, and maintenance of this ratio from 2.1 to 2.5 min. Compound concentrations were calculated from the MS peak areas.

Human hepatocyte stability assay

A vial of human hepatocytes (100 donor pool HCP100.H15/Lot: 2010012; XenoTech, Kansas City, KS, US) was removed from the liquid nitrogen tank and immersed into a water bath. When only a small ice crystal remained, the cell suspension was transferred to a tube with the preheated suspension medium (OptiThaw hepatocyte medium, K8000; XenoTech). After a brief centrifugation at 100 × g for 5 min, hepatocytes were gently resuspended with incubation medium (OptiIncubate hepatocyte medium, K8400; XenoTech) and counted, and viability was determined using trypan blue staining. One-micromolar compounds were incubated at 37°C and 5% CO2 in the presence of 0.5 × 106 hepatocytes in a 500-µL incubation volume. Aliquots were taken, and reactions were terminated with ACN at each of the six sampling time points (0, 15, 30, 60, 90, and 120 min). The samples were centrifuged, and the remaining compound was determined by UPLC-MS/MS analysis as above. Intrinsic clearance was calculated from the logarithm of the remaining compound at each of the times evaluated.

Human microsomal stability assay

The following components were added in a 96-well microplate in a final volume of 500 µL 50 mM Na/K phosphate buffer, pH 7.4 (stock solutions are indicated in parentheses, dissolved in the same buffer unless otherwise specified): 1 µM NADP (10 mM), 10 µM glucose 6-phosphate (100 mM), 1 µM glucose 6-phosphate dehydrogenase (40 U/mL, dissolved in 5 mM sodium citrate), 3 µM MgCl2·6 H2O (30 mM, dissolved in H2O), 0.8 mg protein/mL of human microsomes (10 mg/mL protein; XenoTech), and 1 µM of test compound (100 µM, dissolved in ACN). Plates were incubated at 37°C and 75 µL samples were taken at 0, 10, 20, 40, and 60 min, to which 75 µL ACN + internal standard (Rolipram) to inactivate the microsomes and 30 µL of 0.5% formic acid in H2O to improve the chromatographic conditions were added, and kept at 4°C. When all the samples were taken, the plate was centrifuged at 46,000 × g for 30 min at 15°C, and UPLC-MS/MS was performed as above, except for the time in 100% B from 1 to 2.5 min, the return to 95% A:5% B from 2.5 to 2.6 min, and the maintenance of this ratio from 2.6 to 3.0 min. Metabolic stability was calculated from the logarithm of the remaining compound at each of the times evaluated.

Cytochrome inhibition activity assay

To screen the inhibition potential of the compounds using recombinant human cytochrome P450 enzymes (CYP1A2, CYP2C9, CYP2C19, and CYP2D6) and probe substrates with fluorescent detection, incubations were conducted in a 200-µL volume in 96-well microtiter plates (Costar #3915; Corning Inc.). Addition of cofactor-buffer mixture (0.2 M KH2PO4 buffer, 1.3 mM NADP, 3.3 mM MgCl2, 3.3 mM glucose-6-phosphate, and 0.4 U/mL glucose-6-phosphate dehydrogenase), previously diluted control Supersomes (insect cell control for Supersomes enzymes, baculovirus-insect cell-expressed; Corning Inc.), standard inhibitors (furafylline, tranylcypromine, sulfaphenazole, and quinidine), and test compounds was carried out by a Zephyr liquid handling station (Caliper Life Sciences, Hopkinton, MA, US). The plate was then pre-incubated at 37°C for 5 min, and the reaction was initiated by the addition of pre-warmed enzyme/substrate mix, which contained buffer (KH2PO4), cDNA-expressed P450 in insect cell microsomes, substrate (3-cyano-7-ethoxycoumarin for CYP1A2 and CYP2C19, 7-methoxy-4-(trifluoromethyl)coumarin for CYP2C9, and 3-[2-(N,N-diethyl-N-methylammonium)ethyl]-7-methoxy-4-methylcoumarin for CYP2D6) to obtain the final assay concentrations in a reaction volume of 200 µL. Reactions were terminated after a specific time for each cytochrome by the addition of stop solution (ACN:0.5 M tris-HCl, 80:20 vol/vol). Fluorescence in each well was measured using a fluorescence plate reader (EnVision 2104 multilabel plate reader; PerkinElmer, Waltham, MA, US), and percentage of inhibition was calculated.

Caco-2 permeability assay

Caco-2 cells (ATCC under the license of Abcam Inc., doing business as NaviCyte Scientific, Berkeley, CA) cultured to confluency were trypsinized and seeded onto a filter transwell insert (high-throughput screening Transwell 96-well permeable supports; Corning Inc.) at a density of ~10,000 cells/well in Dulbecco’s modified Eagle’s medium (DMEM). Confluent cells were subcultured at passages 58–62 and grown in a humidified atmosphere of 5% CO2 at 37°C. Following an overnight attachment period (24 h after seeding), the cell medium was replaced every other day with fresh medium in both the apical and basolateral compartments. The cell monolayers were used for transport studies 21 days post-seeding, when monolayer integrity was checked by measuring the transepithelial electrical resistance (TEER). If TEER values were ≥500 Ω/cm2, the medium was removed and the cells were washed twice with pre-warmed (37°C) Hank’s Balanced Salt Solution (HBSS). Compound stock solutions were made in DMSO and further diluted in HBSS (1% final DMSO concentration). All compounds, including controls (colchicine, E3S), were tested at a final concentration of 5 to 10 µM. For A → B directional transport, the donor working solution was added to the apical compartment (A) and HBSS as receiver working solution to the basolateral compartment (B). For B → A directional transport, the donor working solution was added to B and HBSS as receiver working solution to A. The cells were incubated at 37°C for 120 min with gentle stirring. At the end of the incubation, samples were taken from both donor and receiver compartments and transferred into 384-well plates, and compound concentrations were determined by UPLC-MS/MS analysis as for the plasma stability assay. After the assay, Lucifer Yellow (LY) was used to further validate the cell monolayer integrity; cells were incubated with 10 µM LY in HBSS for 1 h at 37°C, obtaining apparent permeability (Papp) values for LY of ≤10 nm/s, which confirmed the well-established Caco-2 monolayer.

L. infantum cultures

L. infantum (MHOM/ES/2016/CATB101) promastigotes were maintained at 26°C in complete Schneider’s medium (Schneider’s insect medium supplemented with 10% FBS, 25 µg/mL gentamycin, 1% penicillin-streptomycin, and 1% sterile human urine, pH 6.7). For growth inhibition assays, promastigotes were used in the logarithmic growth phase, whereas for the infection of macrophages and generation of amastigotes they were used in the stationary phase. Axenic amastigotes were obtained following established protocols (40, 5759); briefly, 1 × 107 promastigotes/mL in stationary phase were cultured in Schneider’s insect medium supplemented with 20% FBS, 25 µg/mL gentamycin, and 3.9 g/L of 2-(N-morpholino)ethanesulfonic acid, at pH 5.4 and 37°C. After 48 h, the typical rounded morphology of axenic amastigotes and their flagellum shortening could be observed. This culture was used within a week after its preparation.

Protein aggregation assays in L. infantum cultures

Ten milliliters of L. infantum promastigote cultures in the logarithmic growth phase at a concentration of 107 cells/mL in T-25 flasks (SPL Life Sciences, Pochon, Kyonggi-do, South Korea) was either treated with 0.15 µM or 0.3 µM YAT2150 or left untreated. After 90 min and 4 h of incubation, 1 mL of each culture was washed (3×, 1 mL PBS, 600 × g, 3 min) and the parasite-containing pellets were taken up in 100 µL of 4.5 mg/mL NaCl supplemented with 1× cOmplete protease inhibitor cocktail (Roche, Basel, Switzerland) and incubated overnight at 4°C with gentle stirring. After this time, samples were spun down (2,000 × g, 10 s) and the protein in each supernatant was quantified with the Pierce BCA protein assay kit (Thermo Electron Corporation, Waltham, MA, US). In a 96-well flat bottom black plate (Greiner Bio-One), 2 µg of protein from each supernatant was diluted in a final volume of 100 µL PBS in duplicates. Protein aggregation was measured by the addition of 25 µM ThT to each well, and after a 15-min incubation with gentle stirring, ThT fluorescence emission intensity was measured as detailed above.

Isolation of aggregation-prone proteins from L. infantum cultures

Proteins insoluble in 0.1% SDS were isolated following previously described protocols (60). First, 40 mL of a L. infantum preparation containing approximately 108 L. infantum promastigotes in the logarithmic growth phase was spun down (50 × g, 3 min) to remove dead parasites and washed twice with sterile PBS supplemented with one tablet of cOmplete protease inhibitor cocktail in 10 mL. After centrifugation (600 × g, 3 min) to pellet the parasites, they were taken up in 300 µL of RIPA buffer (150 mM NaCl, 1% Triton X-100, 0.1% SDS, 2 mM EDTA, 5% glycerol, 50 mM tris-HCl, pH 9.4) supplemented with 1× cOmplete. The solution was homogenized in a bath sonicator (FB15053 ultrasonic bath) for six cycles (pulse: 30 s on, 30 s off) and incubated for 90 min at 4°C. Next, the lysate was spun (300 × g, 2.5 min, 4°C) to remove debris and unbroken cells and the supernatant was carefully loaded on top of 1 mL of 40% sucrose and ultracentrifuged (200,000 × g, 1 h) in order to pellet large insoluble aggregates. These were resuspended in 400 µL of lysis buffer (PBS containing 2% SDS, 5 mM DTT, and 2 mM EDTA; supplemented with 1× cOmplete) and incubated at 37°C for 30 min, pipetting up and down every 2 min with siliconized pipette tips. The resulting sample was spun down (16,000 × g, 12 min), and the supernatant was recovered and concentrated using an Amicon ultra 0.5 mL centrifugal filter, 3 kDa cutoff (Sigma-Aldrich Corporation). The protein in the concentrated solution was quantified using the Pierce BCA protein assay kit, and 100 µg of protein was loaded in a 12.5% SDS-PAGE stained with Coomassie Brilliant Blue R-250. The material not entering the resolving gel was excised and subjected to liquid chromatography with tandem mass spectrometry (LC-MS/MS) analysis.

LC-MS/MS analysis

Trypsin digestion of proteins in gel slabs was performed in a ProGest automatic digestor (Genomic Solutions Inc., Ann Arbor, MI, US). Each sample was reduced (20 mM DTT in 25 mM NH4HCO3, pH 8.0, 60 min, 60°C), alkylated (55 mM iodoacetamide in 50 mM NH4HCO3, pH 8.0, 30 min, 25°C, protected from light), and digested for 2 h with 80 ng of porcine trypsin (sequencing-grade modified Trypsin Gold; Promega, Madison, WI, US) in 50 mM NH4HCO3, pH 8.0, 37°C. Another aliquot of enzyme was added, and the digestion was allowed to continue overnight under the same conditions. The resulting peptide mixture was extracted from the gel matrix with 5% FA in 50% ACN followed by 100% ACN, cleaned with a C18 tip (PolyLC Inc., Columbia, MD, US) as per manufacturer’s protocol, and finally dried in a SpeedVac concentrator and stored at ‒20°C until LC-MS/MS analysis. To increase peptide amounts, a third digestion with Proteinase K (Sigma-Aldrich Corporation) was performed. To both the extracted tryptic digest and the remaining gel band were added 100 ng Proteinase K in 500 mM NH4HCO3, pH 8.0, and after a 15 min digestion the resulting peptides were extracted from the gel as described above, pooled with the remaining in-solution digestion, dried in a SpeedVac concentrator and stored at ‒20°C until LC-MS/MS analysis.
Mass spectrometry was performed in a NanoAcquity HPLC system (Waters) coupled to an LTQ-OrbitrapVelos mass spectrometer (Thermo Fisher Scientific Inc.). The dried tryptic digests were taken up in 1% FA, and an aliquot was injected into the liquid chromatography system. Peptides were trapped in a Symmetry C18 trap column (5 µm, 180 µm × 20 mm; Waters) and separated in a C18 reverse-phase NanoAcquity UPLC BEH capillary column (130 Å, 1.7 µm, 75 µm × 250 mm; Waters), with a mobile-phase 1% to 40% B gradient in 30 min followed by a 40% to 60% B gradient in 5 min (A: 0.1% FA in water; B: 0.1% FA in ACN) and a flow rate of 250 nL/min. Eluted peptides were ionized in an emitter needle (PicoTip; New Objective Inc., Littleton, MA, US) with an applied spray voltage of 2 KV. A 300–1,600 m/z range of peptide masses was analyzed in a data-dependent mode where a full scan MS was acquired in the Orbitrap with a resolution of 60,000 full width at half maximum at 400 m/z. Within this range, the 15 most abundant peptides (≥500 counts) were selected from each scan and fragmented in the linear ion trap using collision-induced dissociation (38% normalized collision energy) with He as the collision gas. The scan time settings were as follows: full MS: 250 ms (1 microscan) and MSn: 120 ms. Generated *.raw data files were collected with Thermo Xcalibur (v. 2.2).
A database was created by merging all protein entries present in the public UniProt database for L. infantum (uniprot_Linfantum_taxonomy_5671_cont, v25/3/21) with a small database containing laboratory contaminant proteins. The *.raw data files obtained in the LC-MS/MS analyses were used to search with the SequestHT search engine using Thermo Proteome Discover (v1.4.1.14) against the aforementioned database. Both target and decoy databases were searched to obtain a false discovery rate (FDR) and thus estimate the number of incorrect peptide-spectrum matches that exceeded a given threshold, applying preestablished search parameters [enzyme: trypsin (semi); missed cleavage: 2; fixed modifications: carbamidomethyl of cysteine; variable modifications: oxidation of methionine and deamination of asparagine and glutamine; and peptide tolerance: 10 ppm and 0.6 Da for MS and MS/MS spectra, respectively]. To improve the sensitivity of the database search, the semi-supervised learning machine Percolator was used in order to discriminate correct from incorrect peptide spectrum matches. The Percolator assigns a q-value to each spectrum, which is defined as the minimal FDR at which the identification is deemed correct (0.01, strict; 0.05, relaxed). These q-values are estimated using the distribution of scores from decoy database search. Only proteins identified with at least two peptides (FDR ≤ 5%) are reported.

Promastigote growth inhibition assay

In 96-well microtiter plates (Nunclon Delta surface; Thermo Fisher Scientific Inc.), serial dilutions (1:2) of the drugs or peptides were performed, either free or loaded in nanoformulations, in 100 µL of complete Schneider’s medium, to which one volume of 2 × 106 logarithmic growth-phase L. infantum promastigotes/mL in the same buffer was added. After 48 h, resazurin sodium salt was incorporated at a final concentration of 0.00125% and the plates were incubated at 26°C for another 24 h, when fluorescence from resorufin was measured as described above.

Amastigote growth inhibition assay

Compound activity on amastigotes was determined following the parasite rescue and transformation assay (61). RAW 264.7 macrophages were seeded in 96-well microtiter plates at 105 cells/mL of DMEM supplemented with 10% FBS and 1% penicillin-streptomycin (complete DMEM, DMEMc) in a final volume of 200 µL per well. After an overnight incubation (37°C, 5% CO2) to allow cell adherence, the medium was removed and 106 L. infantum promastigotes/mL were added (1:10 macrophage:promastigote ratio) in DMEM supplemented with 2% FBS and 1% penicillin-streptomycin (DMEM 2% FBS). After 24 h, parasites not internalized by macrophages were removed by washing (3×, PBS) and dilutions in DMEM 2% FBS of free or liposome-encapsulated compounds were added. After 48 h, the medium was removed, cells were washed three times with PBS, and 40 µL of 0.05% SDS in complete Schneider’s medium was added; after 40 s, 160 additional µL/well of complete Schneider’s medium was added and plates were incubated at 26°C for another 48 h. Then, resazurin sodium salt was incorporated at a final concentration of 0.00125% and plates were incubated for 24 h more in the same conditions. Afterwards, resorufin fluorescence was measured as above.

Assessment of variation of ATP levels in L. major

The process described in reference (62) was followed. Briefly, L. major promastigotes (Friendlin strain) were transfected with the pLEXSY-hyg2.1 expression vector (Jena Bioscience, Jena, Germany) containing a cytoplasmic form of firefly luciferase mutated at its C-terminal tripeptide to prevent its import into the glycosome. Promastigotes were grown in Roswell Park Memorial Institute 1640 medium (RPMI) supplemented with 10% FBS, 2 mM L-glutamine, 1,000 U/mL penicillin/streptomycin (Gibco, Billings, MT, US), and 100 µg/mL hygromycin (InvivoGen, San Diego, CA, US) at 26°C. To assess variation in the intracellular concentration of free ATP, parasites were harvested at the late exponential phase of growth. After two washes with Hanks balanced buffer, parasites were resuspended in the same buffer supplemented with 10 mM D-glucose at 2.2 × 107 parasites/mL. After the addition of DMNPE-caged D-luciferin (GoldBio, St. Louis, MO, US) at 50 µM final concentration, the parasite suspension was aliquoted (90 µL/well) into a black 96-microwell plate (Nunc A/S, Roskilde, Denmark), and luminescence readout was monitored in a POLARstar Galaxy microplate reader (BMG LABTECH GmbH) with a luminescence setup. Once the luminescence reached a plateau, 10 µL of a YAT2150 solution at 10× fold its final concentration was added (t0) and the luminescence value at this point was considered as 100%. DMSO in the parasite suspension was never above 1%. Controls for membrane permeabilization (0.1% Triton X-100) and inhibition of oxidative phosphorylation (1.5 µM 1,4-naphthoquinone) were used as controls, as well as untreated parasites. Experiments were made in duplicate and repeated at least twice.

Flow cytometry

For the analysis of peptide targeting to promastigotes, 2.5 × 106 promastigotes of the L. infantum MHOM/ES/2016/CATB101 strain in the logarithmic growth phase were placed in Eppendorf tubes in a volume of 500 µL of complete Schneider’s medium. Disaggregated Flu-AISVFFLEP-amide and Flu-DNFIFGQ-amide were reconstituted with complete Schneider’s medium and added to the cells in a final concentration of 50 µM. After overnight incubation, promastigotes were stained for 30 min with 4 µg/mL Hoechst 33342, washed with PBS (3×, 600 × g, 3 min), and finally fixed with 3% paraformaldehyde for 20 min. After three more PBS washes, the samples were diluted 1:5 in a final volume of 500 µL PBS in 5 mL polystyrene round-bottom tubes (Corning Inc.) and processed using a 20-parameter standard configuration in a five-laser LSRFortessa flow cytometer (BD Biosciences, San Jose, CA, US). Side- and forward-scatter were used in a logarithmic scale to determine the cell population, acquiring 10,000 events for each sample. Hoechst 33342 and fluorescein were detected by excitation with 350- and 488-nm lasers, and emission was collected with 450/50-BP and 525/50-BP filters, respectively.
For the analysis of YAT2150 targeting, 5 × 106 promastigotes of the L. infantum MHOM/ES/2016/CATB101 strain in the logarithmic growth phase and 5 × 106 axenic amastigotes from the same strain in day 5 of growth were placed in Eppendorf tubes with a final volume of 1 mL of complete Schneider’s medium. YAT2150 dissolved in DMSO was added in a final concentration of 0.38 µM (final DMSO concentration < 0.1%) along with Hoechst 33342 (4 μg/mL final concentration), incubated for 30 min, and washed (PBS, 300 × g, 3 min). Then, parasites were fixed and analyzed by flow cytometry as specified above, substituting fluorescein detection by YAT2150 detection (excitation with a 561-nm laser and emission collection with a 600LP-610/20-BP filter).
For the detection of antibody targeting to promastigotes, 1 × 107 promastigotes of the L. infantum MHOM/ES/2016/CATB101 strain in complete Schneider’s medium were fixed in an Eppendorf tube for 20 min with 3% paraformaldehyde, washed 3× with PBS, and incubated for 1 h at room temperature with the anti-LPG monoclonal IgM antibody CA7AE diluted 1:500 in PBS containing 0.3% BSA. After three PBS washes, the cells were incubated for 1 h with a secondary goat anti-mouse antibody conjugated to Alexa Fluor 488 (AF488; Invitrogen, Waltham, MA, US) diluted 1:200 in PBS containing 2% BSA. After three final PBS washes, flow cytometry analysis was performed as specified above for peptide targeting with fluorescein, except for the acquisition of 30,000 events.

Fluorescence microscopy

All the samples were visualized in an 8-well chamber slide (ibidi GmbH, Gräfelfing, Germany). For staining with the ProteoStat aggresome detection kit (Enzo Life Sciences Inc., Farmingdale, NY, US), L. infantum promastigotes and axenic amastigotes in days 3 and 5 of growth, respectively, were washed twice with PBS. In PBS, a 1:2,000 ProteoStat dye dilution was then added and after 5 min, 4 µg/mL Hoechst 33342 was incorporated and incubated for a further 10 min. The samples were then washed (3×, PBS) and observed with a Leica TCS SP5 laser scanning confocal fluorescence microscope. ProteoStat and Hoechst 33342 were detected by excitation through 561- and 405-nm lasers, respectively. Emission was collected between 590 and 670 nm for ProteoStat and between 415 and 500 nm for Hoechst 33342. The same protocol was followed for YAT2150 staining of promastigotes and axenic amastigotes, substituting ProteoStat by an incubation in 0.38 µM YAT2150. To quantify Manders’ overlap coefficient (63), images were analyzed using the Just Another Colocalization Plugin [JACoP (64)] in the Fiji software (65). Manders’ coefficient ranges from 0 to 1 showing the pixel percentage that is overlapped, being 0 defined as no colocalization and 1 as total colocalization.
For the analysis of peptide targeting to promastigotes, 200 µL of the samples prepared as described above in the flow cytometry section was placed in an 8-well chamber slide and fluorescence microscopy was conducted in a Zeiss LSM 800 equipment (Zeiss, Oberkochen, Germany) with a 100×/1.4 oil DIC M27 objective. Hoechst 33342 was excited with a 405-nm diode laser, 5 mW, class 3B, and fluorescein with a 488-nm diode laser, 10 mW, class 3B; emission was collected in the 390–460- and 500–700-nm ranges, respectively. A Z-stack image of 30 layers of a promastigote incubated with the Flu-AISVFFLEP-amide peptide was acquired in a Leica TCS SP5 laser scanning confocal fluorescence microscope, where Hoechst 33342 and fluorescein were excited with 405- and 488-nm diode lasers and emission was collected in the 414–474- and 501–562-nm ranges, respectively.
For the targeting analysis in promastigotes of YAT2150 encapsulated in CF-PE-containing liposomes, 107 L. infantum promastigotes/mL were incubated in complete Schneider’s medium for 1 h with 0.38 µM YAT2150 contained in the liposome suspension, during the last 30 min in the presence of 4 µg/mL Hoechst 33342. Cells were then washed three times with PBS, fixed with 3% paraformaldehyde for 20 min, washed again, and visualized with a Leica TCS SPE laser scanning confocal fluorescence microscope. Hoechst 33342, CF-PE, and YAT2150 were excited with 405-, 488-, and 532-nm solid-state lasers and the respective emissions were collected in the 408–521-, 491–564-, and 589–691-nm ranges.
For the analysis of macrophages treated with YAT2150-stained promastigotes, RAW 264.7 macrophages maintained in DMEMc at 37°C and in the presence of 5% CO2 were seeded at 105 cells/mL in DMEMc in an 8-well chamber slide, placing 300 µL per well and allowing cells to adhere overnight. In parallel, 107 L. infantum stationary-phase promastigotes in 1 mL of DMEM 2% FBS were stained with 0.38 µM YAT2150 for 1 h at room temperature and thoroughly washed with DMEM 2% FBS (3×, 600 × g, 3 min). Then, RAW 264.7 cells were washed once with DMEM 2% FBS and 106 YAT2150-stained L. infantum promastigotes/mL were added to each well and incubated for 24 h. Afterwards, 2 µg/mL Hoechst 33342 and 5 µg/mL wheat germ agglutinin-Oregon Green 488 (Thermo Fisher Scientific Inc.) were added simultaneously and incubated for 10 min, and the samples were visualized with a Leica TCS SP5 laser scanning confocal fluorescence microscope. Hoechst 33342, Oregon Green 488, and YAT2150 were excited with 405-, 488-, and 532-nm solid-state lasers and their respective emissions were collected in the 408–521-, 491–537-, and 605–707-nm ranges. For the targeting analysis in RAW 264.7 macrophages exposed to Leishmania of YAT2150 encapsulated in CF-PE-containing liposomes, the cell samples were prepared as described above, except for the use of non-stained promastigotes. Leishmania-exposed macrophages were incubated in DMEM 2% FBS for 3 h with 0.38 µM YAT2150 contained in the liposome suspension, during the last 10 min in the presence of 2 µg/mL Hoechst 33342. Then the cells were washed and observed as described above for promastigote targeting analysis.
For the observation of intracellular amastigotes, 6 × 107 stationary-phase promastigotes were stained in 1 mL of cold PBS with 2.8 µg/mL of CFSE, incubated for 10 min (37°C, 5% CO2), and washed with PBS (3×, 600 × g, 3 min). The final CFSE-stained promastigote pellet was taken up in DMEMc and added to 5 × 105 RAW 264.7 macrophages/mL that had been seeded in DMEMc and allowed to adhere overnight (10:1 promastigote:macrophage ratio). After 4 h of incubation, promastigotes were removed by washing five times with DMEM and cells were incubated for 10 min with 2 µg/mL of Hoechst 33342. Then, 0.38 µM YAT2150 was added, and after 6 h of incubation, the preparations were observed in an IX-51 Olympus (Tokyo, Japan) fluorescence microscope with a 100× objective. The fluorescence of Hoechst 33342, CFSE-stained parasites, and YAT2150 was detected with the fluorescence filter cubes U-MNU2, U-MWIBA3, and U-MWG2, which have excitation filters of 360–370, 460–495, and 534–588 nm and emission filters of 420, 510–550 and 609–683 nm, respectively.
For immunofluorescence microscopy analysis of the binding of anti-LPG monoclonal IgM antibody CA7AE to live promastigotes, the cells were treated as described above for flow cytometry except for the fixation step, which was omitted, and the staining, after removal by washing in complete Schneider’s medium of primary and secondary antibodies, with 4 µg/mL of the DNA dye Hoechst 33342 for 30 min. After three additional washes (600 × g, 3 min), 300 µL of a suspension of stained and washed promastigotes in complete Schneider’s medium was visualized with an IX-51 Olympus microscope as described above, using for AF488 the CFSE settings. For anti-LPG targeting analysis to live Leishmania-exposed and control non-treated macrophages, 5 × 104 RAW 264.7 macrophages/mL were seeded in 300 µL/well of RPMI supplemented with 10% FBS and 1% penicillin-streptomycin in an 8-well chamber slide, and allowed to adhere for 24 h at 37°C in the presence of 5% CO2. Leishmania-treated macrophages were infected by incubation for 24 h in the presence of 5 × 105 promastigotes of the L. infantum MHOM/ES/2016/CATB101 strain. After 3× PBS washes, the cells were prepared for immunocytochemistry analysis as described above for promastigotes, but using 2 µg/mL Hoechst 33342. Confocal fluorescence microscopy was conducted as described above for the analysis of fluorescein-tagged peptides.

Statistical analysis

Unless otherwise stated, experiments were performed in triplicate and the results are expressed as mean values ± standard error of the mean (SEM). The IC50 and CC50 were calculated through non-linear regression analysis using GraphPad Prism 8.4 (GraphPad software, La Jolla, CA, US). Differences between samples were analyzed by one-way analysis of variance using the same software, considering a significant P value ≤0.05. Mean values and SEM were calculated using Microsoft Office Excel version 2306.

ACKNOWLEDGMENTS

ISGlobal and IBEC are members of the CERCA Programme, Generalitat de Catalunya. We acknowledge support from the Spanish Ministry of Science, Innovation and Universities through the “Centro de Excelencia Severo Ochoa 2019–2023” Program (CEX2018-000806-S). This research is part of ISGlobal’s Program on the Molecular Mechanisms of Malaria which is partially supported by the Fundación Ramón Areces.
We thank the Advanced Optical Microscopy Unit-Clinic Campus from the Scientific and Technological Centers at the University of Barcelona for their support and advice with confocal microscopy. V.I. was supported by the Spanish Ministry of Universities and the European Union-NextGenerationEU (ruling 02/07/2021, Universitat Autònoma de Barcelona).
This work was supported by grants (i) Fundació La Marató de TV3, Ref. 201811 (X.F.-B.); (ii) PID2021-128325OB-I00 (X.F.-B.) and PID2020-118127RB-I00 (D.M.-T.), funded by Ministerio de Ciencia e Innovación/Agencia Estatal de Investigación (MCIN/AEI/10.13039/501100011033), which included ERDF funds; (iii) II Premis Innovació Campus Clínic 2022, Hospital Clínic de Barcelona (X.F.-B.); and (iv) Generalitat de Catalunya, Spain (http://agaur.gencat.cat/), grant numbers 2021-SGR-00635 (S.V.) and 2021-SGR-00357 (D.M.-T.). Work at Pompeu Fabra University was supported by “La Caixa” Banking Foundation (https://fundacionlacaixa.org/, grant HR17-00409) and by grant AGL2017-84097-C2-2-R and the “María de Maeztu” Program for Units of Excellence in R&D from the Spanish Ministry of Science, Innovation and Universities. Work at the Centro de Investigaciones Biológicas was supported by grants from MCIN Subdirección General de Redes y Centros de Investigación Cooperativa-FEDER RD16/0027/0010 and CSIC PIE 201620E038. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

SUPPLEMENTAL MATERIAL

Figs. S1 to S7, Tables S1 to S3 - aac.01127-23-s0001.pdf
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REFERENCES

1.
Burza S, Croft SL, Boelaert M. 2018. Leishmaniasis. Lancet 392:951–970.
2.
World Health Organization. 2023. Leishmaniasis Factsheet. World Health Organization.
3.
Ponte-Sucre A, Gamarro F, Dujardin JC, Barrett MP, López-Vélez R, García-Hernández R, Pountain AW, Mwenechanya R, Papadopoulou B. 2017. Drug resistance and treatment failure in leishmaniasis: a 21st century challenge. PLoS Negl Trop Dis 11:e0006052.
4.
Sundar S, Singh B. 2018. Emerging therapeutic targets for treatment of leishmaniasis. Expert Opin Ther Targets 22:467–486.
5.
Chiti F, Dobson CM. 2017. Protein misfolding, amyloid formation, and human disease: a summary of progress over the last decade. Annu Rev Biochem 86:27–68.
6.
Franzmann TM, Alberti S. 2019. Protein phase separation as a stress survival strategy. Cold Spring Harb Perspect Biol 11:a034058.
7.
Brown JCS, Lindquist S. 2009. A heritable switch in carbon source utilization driven by an unusual yeast prion. Genes Dev 23:2320–2332.
8.
Maji SK, Perrin MH, Sawaya MR, Jessberger S, Vadodaria K, Rissman RA, Singru PS, Nilsson KPR, Simon R, Schubert D, Eisenberg D, Rivier J, Sawchenko P, Vale W, Riek R. 2009. Functional amyloids as natural storage of peptide hormones in pituitary secretory granules. Science 325:328–332.
9.
Si K, Kandel ER. 2016. The role of functional prion-like proteins in the persistence of memory. Cold Spring Harb Perspect Biol 8:a021774.
10.
Biosca A, Bouzón-Arnáiz I, Spanos L, Siden-Kiamos I, Iglesias V, Ventura S, Fernàndez-Busquets X. 2020. Detection of protein aggregation in live Plasmodium parasites. Antimicrob Agents Chemother 64:e02135-19.
11.
Bouzón-Arnáiz I, Avalos-Padilla Y, Biosca A, Caño-Prades O, Román-Álamo L, Valle J, Andreu D, Moita D, Prudêncio M, Arce EM, Muñoz-Torrero D, Fernàndez-Busquets X. 2022. The protein aggregation inhibitor YAT2150 has potent antimalarial activity in Plasmodium falciparum in vitro cultures. BMC Biol 20:197.
12.
eBioMedicine. 2023. Leishmania: an urgent need for new treatments. EBioMedicine 87:104440.
13.
Ornellas-Garcia U, Cuervo P, Ribeiro-Gomes FL. 2023. Malaria and leishmaniasis: updates on co-infection. Front Immunol 14:1122411.
14.
Hamilton WL, Claessens A, Otto TD, Kekre M, Fairhurst RM, Rayner JC, Kwiatkowski D. 2017. Extreme mutation bias and high AT content in Plasmodium falciparum. Nucleic Acids Res 45:1889–1901.
15.
Peacock CS, Seeger K, Harris D, Murphy L, Ruiz JC, Quail MA, Peters N, Adlem E, Tivey A, Aslett M, et al. 2007. Comparative genomic analysis of three Leishmania species that cause diverse human disease. Nat Genet 39:839–847.
16.
Franssen SU, Durrant C, Stark O, Moser B, Downing T, Imamura H, Dujardin JC, Sanders MJ, Mauricio I, Miles MA, Schnur LF, Jaffe CL, Nasereddin A, Schallig H, Yeo M, Bhattacharyya T, Alam MZ, Berriman M, Wirth T, Schönian G, Cotton JA. 2020. Global genome diversity of the Leishmania donovani complex. Elife 9:e51243.
17.
Battistuzzi FU, Schneider KA, Spencer MK, Fisher D, Chaudhry S, Escalante AA. 2016. Profiles of low complexity regions in Apicomplexa. BMC Evol Biol 16:47.
18.
Lancaster AK, Nutter-Upham A, Lindquist S, King OD. 2014. PLAAC: a web and command-line application to identify proteins with prion-like amino acid composition. Bioinformatics 30:2501–2502.
19.
Pallarès I, de Groot NS, Iglesias V, Sant’Anna R, Biosca A, Fernàndez-Busquets X, Ventura S. 2018. Discovering putative prion-like proteins in Plasmodium falciparum: a computational and experimental analysis. Front Microbiol 9:1737.
20.
The UniProt Consortium. 2019. UniProt: a worldwide hub of protein knowledge. Nucleic Acids Res 47:D506–D515.
21.
Conchillo-Solé O, de Groot NS, Avilés FX, Vendrell J, Daura X, Ventura S. 2007. AGGRESCAN: a server for the prediction and evaluation of "hot spots" of aggregation in polypeptides. BMC Bioinformatics 8:65.
22.
Sherman BT, Hao M, Qiu J, Jiao X, Baseler MW, Lane HC, Imamichi T, Chang W. 2022. DAVID: a web server for functional enrichment analysis and functional annotation of gene lists. Nucleic Acids Res 50:W216–W221.
23.
Karamysheva ZN, Gutierrez Guarnizo SA, Karamyshev AL. 2020. Regulation of translation in the protozoan parasite Leishmania. Int J Mol Sci 21:2981.
24.
Ciryam P, Kundra R, Morimoto RI, Dobson CM, Vendruscolo M. 2015. Supersaturation is a major driving force for protein aggregation in neurodegenerative diseases. Trends Pharmacol Sci 36:72–77.
25.
De Pablos LM, Ferreira TR, Walrad PB. 2016. Developmental differentiation in Leishmania lifecycle progression: post-transcriptional control conducts the orchestra. Curr Opin Microbiol 34:82–89.
26.
Törnquist M, Michaels TCT, Sanagavarapu K, Yang X, Meisl G, Cohen SIA, Knowles TPJ, Linse S. 2018. Secondary nucleation in amyloid formation. Chem Commun (Camb) 54:8667–8684.
27.
Betti C, Vanhoutte I, Coutuer S, De Rycke RM, Mishev K, Vuylsteke M, Aesaert S, Rombaut D, Gallardo R, De Smet F, Xu J, Van Lijsebettens M, Van Breusegem F, Inzé D, Rousseau F, Schymkowitz J, Russinova E. 2016. Sequence-specific protein aggregation generates defined protein knockdowns in plants. Plant Physiol 171:773–787.
28.
Jumper J, Evans R, Pritzel A, Green T, Figurnov M, Ronneberger O, Tunyasuvunakool K, Bates R, Žídek A, Potapenko A, et al. 2021. Highly accurate protein structure prediction with AlphaFold. Nature 596:583–589.
29.
Maurer-Stroh S, Debulpaep M, Kuemmerer N, Lopez de la Paz M, Martins IC, Reumers J, Morris KL, Copland A, Serpell L, Serrano L, Schymkowitz JWH, Rousseau F. 2010. Exploring the sequence determinants of amyloid structure using position-specific scoring matrices. Nat Methods 7:237–242.
30.
Varadi M, Anyango S, Deshpande M, Nair S, Natassia C, Yordanova G, Yuan D, Stroe O, Wood G, Laydon A, et al. 2022. AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models. Nucleic Acids Res 50:D439–D444.
31.
Martins PM, Navarro S, Silva A, Pinto MF, Sárkány Z, Figueiredo F, Pereira PJB, Pinheiro F, Bednarikova Z, Burdukiewicz M, Galzitskaya OV, Gazova Z, Gomes CM, Pastore A, Serpell LC, Skrabana R, Smirnovas V, Ziaunys M, Otzen DE, Ventura S, Macedo-Ribeiro S. 2020. MIRRAGGE - Minimum Information Required for Reproducible AGGregation Experiments. Front Mol Neurosci 13:582488.
32.
Batlle C, de Groot NS, Iglesias V, Navarro S, Ventura S. 2017. Characterization of soft amyloid cores in human prion-like proteins. Sci Rep 7:12134.
33.
Espargaró A, Pont C, Gamez P, Muñoz-Torrero D, Sabate R. 2019. Amyloid pan-inhibitors: one family of compounds to cope with all conformational diseases. ACS Chem Neurosci 10:1311–1317.
34.
Román-Álamo L, Allaw M, Avalos-Padilla Y, Manca ML, Manconi M, Fulgheri F, Fernández-Lajo J, Rivas L, Vázquez JA, Peris JE, Roca-Geronès X, Poonlaphdecha S, Alcover MM, Fisa R, Riera C, Fernàndez-Busquets X. 2023. In vitro evaluation of aerosol therapy with pentamidine-loaded liposomes coated with chondroitin sulfate or heparin for the treatment of Leishmaniasis. Pharmaceutics 15:1163.
35.
Martínez-Orellana P, Baxarias M, Good L, Solano-Gallego L. 2020. The effects of polyhexamethylene biguanide (PHMB) and TLR agonists alone or as polyplex nanoparticles against Leishmania infantum promastigotes and amastigotes. Vet Sci 7:179.
36.
Hendrickx S, Van Bockstal L, Aslan H, Sadlova J, Maes L, Volf P, Caljon G. 2020. Transmission potential of paromomycin-resistant Leishmania infantum and Leishmania donovani. J Antimicrob Chemother 75:951–957.
37.
Ganguly S, Bandyopadhyay S, Sarkar A, Chatterjee M. 2006. Development of a semi-automated colorimetric assay for screening anti-leishmanial agents. J Microbiol Methods 66:79–86.
38.
Amato VS, Rabello A, Rotondo-Silva A, Kono A, Maldonado TPH, Alves IC, Floeter-Winter LM, Neto VA, Shikanai-Yasuda MA. 2004. Successful treatment of cutaneous leishmaniasis with lipid formulations of amphotericin B in two immunocompromised patients. Acta Trop 92:127–132.
39.
Gomes CB, Souza-Silva F, Charret KDS, Pereira BAS, Finkelstein LC, Santos-de-Souza R, de Castro Côrtes LM, Pereira MCS, Rodrigues de Oliveira Jr FO, Alves CR. 2017. Increasing in cysteine proteinase B expression and enzymatic activity during in vitro differentiation of Leishmania (Viannia) braziliensis: first evidence of modulation during morphological transition. Biochimie 133:28–36.
40.
Dias-Lopes G, Zabala-Peñafiel A, de Albuquerque-Melo BC, Souza-Silva F, Menaguali do Canto L, Cysne-Finkelstein L, Alves CR. 2021. Axenic amastigotes of Leishmania species as a suitable model for in vitro studies. Acta Trop 220:105956.
41.
Graña-Montes R, Pujols-Pujol J, Gómez-Picanyol C, Ventura S. 2017. Prediction of protein aggregation and amyloid formation, p 205–263. In J.Rigden D (ed), From Protein Structure to Function with Bioinformatics. Springer, Dordrecht.
42.
Wallace EWJ, Kear-Scott JL, Pilipenko EV, Schwartz MH, Laskowski PR, Rojek AE, Katanski CD, Riback JA, Dion MF, Franks AM, Airoldi EM, Pan T, Budnik BA, Drummond DA. 2015. Reversible, specific, active aggregates of endogenous proteins assemble upon heat stress. Cell 162:1286–1298.
43.
Lipinski CA, Lombardo F, Dominy BW, Feeney PJ. 2001. Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings. Adv Drug Deliv Rev 46:3–26.
44.
Słoczyńska K, Gunia-Krzyżak A, Koczurkiewicz P, Wójcik-Pszczoła K, Żelaszczyk D, Popiół J, Pękala E. 2019. Metabolic stability and its role in the discovery of new chemical entities. Acta Pharm 69:345–361.
45.
Freitas-Junior LH, Chatelain E, Kim HA, Siqueira-Neto JL. 2012. Visceral leishmaniasis treatment: what do we have, what do we need and how to deliver it. Int J Parasitol Drugs Drug Resist 2:11–19.
46.
Mowbray CE, Braillard S, Glossop PA, Whitlock GA, Jacobs RT, Speake J, Pandi B, Nare B, Maes L, Yardley V, Freund Y, Wall RJ, Carvalho S, Bello D, Van den Kerkhof M, Caljon G, Gilbert IH, Corpas-Lopez V, Lukac I, Patterson S, Zuccotto F, Wyllie S. 2021. DNDI-6148: a novel benzoxaborole preclinical candidate for the treatment of visceral leishmaniasis. J Med Chem 64:16159–16176.
47.
Martínez de Iturrate-Sanz P. 2021. Protein-kinase inhibitors as potential leishmanicidal drugs. Universidad Complutense de Madrid. https://docta.ucm.es/entities/publication/24549645-82d7-466e-b371-48784c38a434.
48.
McConville MJ, Mullin KA, Ilgoutz SC, Teasdale RD. 2002. Secretory pathway of trypanosomatid parasites. Microbiol Mol Biol Rev 66:122–154;
49.
Moles E, Galiano S, Gomes A, Quiliano M, Teixeira C, Aldana I, Gomes P, Fernàndez-Busquets X. 2017. ImmunoPEGliposomes for the targeted delivery of novel lipophilic drugs to red blood cells in a falciparum malaria murine model. Biomaterials 145:178–191.
50.
de Morais CGV, Castro Lima AK, Terra R, dos Santos RF, Da-Silva SAG, Dutra PML. 2015. The dialogue of the host-parasite relationship: Leishmania spp. and Trypanosoma cruzi infection. Biomed Res Int 2015:324915.
51.
Camps P, Formosa X, Galdeano C, Gómez T, Muñoz-Torrero D, Scarpellini M, Viayna E, Badia A, Clos MV, Camins A, Pallàs M, Bartolini M, Mancini F, Andrisano V, Estelrich J, Lizondo M, Bidon-Chanal A, Luque FJ. 2008. Novel donepezil-based inhibitors of acetyl- and butyrylcholinesterase and acetylcholinesterase-induced β-amyloid aggregation. J Med Chem 51:3588–3598.
52.
Galdeano C, Viayna E, Sola I, Formosa X, Camps P, Badia A, Clos MV, Relat J, Ratia M, Bartolini M, Mancini F, Andrisano V, Salmona M, Minguillón C, González-Muñoz GC, Rodríguez-Franco MI, Bidon-Chanal A, Luque FJ, Muñoz-Torrero D. 2012. Huprine-tacrine heterodimers as anti-amyloidogenic compounds of potential interest against Alzheimer’s and prion diseases. J Med Chem 55:661–669.
53.
Sola I, Castellà S, Viayna E, Galdeano C, Taylor MC, Gbedema SY, Pérez B, Clos MV, Jones DC, Fairlamb AH, Wright CW, Kelly JM, Muñoz-Torrero D. 2015. Synthesis, biological profiling and mechanistic studies of 4-aminoquinoline-based heterodimeric compounds with dual trypanocidal-antiplasmodial activity. Bioorg Med Chem 23:5156–5167.
54.
Hallgren J, Tsirigos KD, Pedersen MD, Almagro Armenteros JJ, Marcatili P, Nielsen H, Krogh A, Winther O. 2022. DeepTMHMM predicts alpha and beta transmembrane proteins using deep neural networks. BioRxiv.
55.
MacDonald RC, MacDonald RI, Menco BP, Takeshita K, Subbarao NK, Hu LR. 1991. Small-volume extrusion apparatus for preparation of large, unilamellar vesicles. Biochim Biophys Acta 1061:297–303.
56.
Weinberger A, Tsai F-C, Koenderink GH, Schmidt TF, Itri R, Meier W, Schmatko T, Schröder A, Marques C. 2013. Gel-assisted formation of giant unilamellar vesicles. Biophys J 105:154–164.
57.
Callahan HL, Portal AC, Devereaux R, Grogl M. 1997. An axenic amastigote system for drug screening. Antimicrob Agents Chemother 41:818–822.
58.
Teixeira MCA, de Jesus Santos R, Sampaio RB, Pontes-de-Carvalho L, dos-Santos WLC. 2002. A simple and reproducible method to obtain large numbers of axenic amastigotes of different Leishmania species. Parasitol Res 88:963–968.
59.
Gupta N, Goyal N, Rastogi AK. 2001. In vitro cultivation and characterization of axenic amastigotes of Leishmania. Trends Parasitol 17:150–153.
60.
Kryndushkin D, Pripuzova N, Burnett BG, Shewmaker F. 2013. Non-targeted identification of prions and amyloid-forming proteins from yeast and mammalian cells. J Biol Chem 288:27100–27111.
61.
Jain SK, Sahu R, Walker LA, Tekwani BL. 2012. A parasite rescue and transformation assay for antileishmanial screening against intracellular Leishmania donovani amastigotes in THP1 human acute monocytic leukemia cell line. J Vis Exp:4054.
62.
Luque-Ortega JR, Saugar JM, Chiva C, Andreu D, Rivas L. 2003. Identification of new leishmanicidal peptide lead structures by automated real-time monitoring of changes in intracellular ATP. Biochem J 375:221–230.
63.
Manders EMM, Verbeek FJ, Aten JA. 1993. Measurement of co-localization of objects in dual-colour confocal images. J Microsc 169:375–382.
64.
Bolte S, Cordelières FP. 2006. A guided tour into subcellular colocalization analysis in light microscopy. J Microsc 224:213–232.
65.
Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, Preibisch S, Rueden C, Saalfeld S, Schmid B, Tinevez JY, White DJ, Hartenstein V, Eliceiri K, Tomancak P, Cardona A. 2012. Fiji: an open-source platform for biological-image analysis. Nat Methods 9:676–682.

Information & Contributors

Information

Published In

cover image Antimicrobial Agents and Chemotherapy
Antimicrobial Agents and Chemotherapy
Volume 68Number 36 March 2024
eLocator: e01127-23
Editor: Audrey Odom John, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
PubMed: 38349159

History

Received: 1 September 2023
Accepted: 15 January 2024
Published online: 13 February 2024

Keywords

  1. antileishmanial drugs
  2. Leishmania
  3. protein aggregation
  4. YAT2150

Contributors

Authors

Lucía Román-Álamo
Barcelona Institute for Global Health (ISGlobal), Hospital Clínic-Universitat de Barcelona, Barcelona, Spain
Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology, Barcelona, Spain
Doctoral School of Biotechnology, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain
Author Contributions: Data curation, Formal analysis, Investigation, and Writing – review and editing.
Yunuen Avalos-Padilla
Barcelona Institute for Global Health (ISGlobal), Hospital Clínic-Universitat de Barcelona, Barcelona, Spain
Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology, Barcelona, Spain
Author Contributions: Data curation, Formal analysis, Investigation, and Writing – review and editing.
Inés Bouzón-Arnáiz
Barcelona Institute for Global Health (ISGlobal), Hospital Clínic-Universitat de Barcelona, Barcelona, Spain
Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology, Barcelona, Spain
Author Contributions: Formal analysis, Investigation, and Writing – review and editing.
Valentín Iglesias
Barcelona Institute for Global Health (ISGlobal), Hospital Clínic-Universitat de Barcelona, Barcelona, Spain
Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology, Barcelona, Spain
Institut de Biotecnologia i de Biomedicina (IBB) and Departament de Bioquímica i Biologia Molecular, Universitat Autònoma de Barcelona, Bellaterra, Spain
Author Contributions: Formal analysis and Writing – review and editing.
Jorge Fernández-Lajo
Centro de Investigaciones Biológicas Margarita Salas, Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain
Author Contributions: Investigation and Writing – review and editing.
Juan M. Monteiro
Centro de Investigaciones Biológicas Margarita Salas, Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain
Author Contributions: Investigation and Writing – review and editing.
Luis Rivas
Centro de Investigaciones Biológicas Margarita Salas, Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain
Author Contributions: Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Resources, Supervision, and Writing – review and editing.
Roser Fisa
Section of Parasitology Department of Biology, Health and Environment, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain
Author Contributions: Formal analysis, Investigation, and Writing – review and editing.
Cristina Riera
Section of Parasitology Department of Biology, Health and Environment, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain
Author Contributions: Formal analysis, Investigation, and Writing – review and editing.
David Andreu
Department of Medicine and Life Sciences, Barcelona Biomedical Research Park, Pompeu Fabra University, Barcelona, Spain
Author Contributions: Formal analysis, Funding acquisition, Investigation, Methodology, Resources, Supervision, and Writing – review and editing.
Carlos Pintado-Grima
Institut de Biotecnologia i de Biomedicina (IBB) and Departament de Bioquímica i Biologia Molecular, Universitat Autònoma de Barcelona, Bellaterra, Spain
Author Contributions: Investigation and Writing – review and editing.
Salvador Ventura
Institut de Biotecnologia i de Biomedicina (IBB) and Departament de Bioquímica i Biologia Molecular, Universitat Autònoma de Barcelona, Bellaterra, Spain
Author Contributions: Formal analysis, Funding acquisition, Investigation, Methodology, Resources, Software, Supervision, and Writing – review and editing.
Elsa M. Arce
Laboratory of Medicinal Chemistry (CSIC Associated Unit), Faculty of Pharmacy and Food Sciences, and Institute of Biomedicine (IBUB), University of Barcelona, Barcelona, Spain
Author Contributions: Investigation and Writing – review and editing.
Diego Muñoz-Torrero
Laboratory of Medicinal Chemistry (CSIC Associated Unit), Faculty of Pharmacy and Food Sciences, and Institute of Biomedicine (IBUB), University of Barcelona, Barcelona, Spain
Author Contributions: Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Resources, Supervision, and Writing – review and editing.
Barcelona Institute for Global Health (ISGlobal), Hospital Clínic-Universitat de Barcelona, Barcelona, Spain
Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology, Barcelona, Spain
Nanoscience and Nanotechnology Institute (IN2UB), University of Barcelona, Barcelona, Spain
Author Contributions: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – original draft, and Writing – review and editing.

Editor

Audrey Odom John
Editor
The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA

Notes

A patent application (priority number: EP21382949.2; application number: PCT/EP2022/079438; application date: 21/10/2022) has been filed to protect some of the results presented in the paper, which includes as inventors IB-A, EMA, DM-T and XF-B. All other authors declare they have no competing interests.

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