Next Article in Journal
Relationship between Latent Toxoplasmosis and Depression in Clients of a Center for Assisted Reproduction
Previous Article in Journal
Artificial Intelligence in Surveillance, Diagnosis, Drug Discovery and Vaccine Development against COVID-19
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The History of Anti-Trypanosome Vaccine Development Shows That Highly Immunogenic and Exposed Pathogen-Derived Antigens Are Not Necessarily Good Target Candidates: Enolase and ISG75 as Examples

by
Stefan Magez
1,2,3,*,
Zeng Li
1,4,
Hang Thi Thu Nguyen
1,2,3,
Joar Esteban Pinto Torres
1,
Pieter Van Wielendaele
4,
Magdalena Radwanska
3,5,
Jakub Began
6,†,
Sebastian Zoll
6,‡ and
Yann G.-J. Sterckx
4,‡
1
Laboratory of Cellular and Molecular Immunology, Department of Bioengineering Sciences, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
2
Department of Biochemistry and Microbiology, Ghent University, Ledeganckstraat 35, 9000 Ghent, Belgium
3
Laboratory for Biomedical Research, Department of Molecular Biotechnology, Environment Technology and Food Technology, Ghent University Global Campus, Songdomunhwa-Ro 119-5, Yeonsu-Gu, Incheon 406-840, Korea
4
Laboratory of Medical Biochemistry (LMB) and the Infla-Med Centre of Excellence, University of Antwerp, Campus Drie Eiken, Universiteitsplein 1, 2610 Wilrijk, Belgium
5
Department of Biomedical Molecular Biology, Ghent University, Technologiepark Zwijnaarde 71, 9000 Ghent, Belgium
6
Laboratory of Structural Parasitology, Institute of Organic Chemistry and Biochemistry, Academy of Sciences of the Czech Republic, Flemingovo Namesti 2, 16610 Prague 6, Czech Republic
*
Author to whom correspondence should be addressed.
Present address: Department of Biochemistry, University of Lausanne, Chemin des Boveresses 155, 1066 Epalinges, Switzerland.
These authors contributed equally to this work and should be considered joint last authors.
Pathogens 2021, 10(8), 1050; https://doi.org/10.3390/pathogens10081050
Submission received: 15 July 2021 / Revised: 2 August 2021 / Accepted: 10 August 2021 / Published: 19 August 2021

Abstract

:
Salivarian trypanosomes comprise a group of extracellular anthroponotic and zoonotic parasites. The only sustainable method for global control of these infection is through vaccination of livestock animals. Despite multiple reports describing promising laboratory results, no single field-applicable solution has been successful so far. Conventionally, vaccine research focusses mostly on exposed immunogenic antigens, or the structural molecular knowledge of surface exposed invariant immunogens. Unfortunately, extracellular parasites (or parasites with extracellular life stages) have devised efficient defense systems against host antibody attacks, so they can deal with the mammalian humoral immune response. In the case of trypanosomes, it appears that these mechanisms have been perfected, leading to vaccine failure in natural hosts. Here, we provide two examples of potential vaccine candidates that, despite being immunogenic and accessible to the immune system, failed to induce a functionally protective memory response. First, trypanosomal enolase was tested as a vaccine candidate, as it was recently characterized as a highly conserved enzyme that is readily recognized during infection by the host antibody response. Secondly, we re-addressed a vaccine approach towards the Invariant Surface Glycoprotein ISG75, and showed that despite being highly immunogenic, trypanosomes can avoid anti-ISG75 mediated parasitemia control.

1. Introduction

Flagellated salivarian trypanosomes are extracellular single-celled eukaryotic parasites that colonize the mammalian bloodstream, the lymphatics, the brain, and the adipose tissue [1,2,3]. In humans, Trypanosoma brucei rhodesiense and T. b. gambiense cause sleeping sickness, also known as HAT (human African trypanosomosis) [4]. Animal trypanosomosis (AT) is predominantly caused by T. congolense, T. vivax, T. evansi, T. simiae and, to a lesser extent, T. b. brucei [5]. Under normal conditions, none of these AT parasites cause a direct threat to human health as they are unable to grow in the presence of the human serum protein APOL1 [6,7,8]. However, it should be noted that, despite the classification of T. evansi as an animal-infective trypanosome, multiple reports have emerged in recent years describing cases of atypical human T. evansi trypanosomosis (aHT) in Asia [9,10,11]. In addition, the problem of AT has moved out of the “tsetse belt” and thus spread beyond sub-Saharan Africa. Indeed, in the last century, both T. vivax and T. evansi have been exported to South America, where the parasites are now migrating towards Central America [12,13,14], and T. evansi cases are also reported in Asia and Europe [15,16,17,18,19,20]. This global spread is caused by a combination of intercontinental shipping of infected livestock and mechanical parasite transmission [21,22,23]. Another consideration in the ongoing battle against trypanosomes is that T. b. rhodesiense HAT and T. evansi aHT are zoonotic infections, meaning they can only be controlled by tackling the vast animal host reservoir. In all trypanosome infections, the anti-parasite response largely relies on the host’s capacity to generate antibodies against trypanosomal antigens. To successfully colonize a broad range of hosts, trypanosomes in turn acquired adaptation mechanisms that allow them to circumvent immune-mediated killing. These have been best studied for T. brucei and appear to rely in large on two basic principles, i.e., (i) the use of a variant surface glycoprotein (VSG) coat to evade successful attacks by circulating antibodies, and (ii) the destruction of B cell memory, thereby reducing the need for excessive stringency during the process of antigenic variation [24]. Antigenic variation of the trypanosome VSG coat is considered as a first line of defense against antibody-mediated killing [25,26,27]. The molecular mechanisms that enable VSG variation involve chromosomal recombination, expression site activation/silencing, access to an extensive reservoir of over 1000 genomic VSG genes and pseudogenes, and heterogeneous O-glycosylation of distinct VSGs. Combined, they allow trypanosomes to outrun the mammalian adaptive immune system [28,29]. In addition to antibody evasion, the trypanosome VSG coat also allows active removal of surface binding antibodies and even complement factors through lateral surface movement and endocytosis [30,31,32,33]. The latter is important as IgM-mediated complement cascade activation, CR3-mediated parasite phagocytosis by macrophages, and surface binding of the complement receptor CRIg itself are important in anti-trypanosome clearance [34,35]. However, VSG switching has limitations when it comes to successfully evading immune recognition as (i) structural elements within the surface molecules share conserved T cell epitopes [36], and (ii) invariable surface molecules are required by the parasite for nutrient binding and uptake, as well as structural and motility functions. Hence, to complement the defense against direct surface attacks by the immune system, trypanosomes have invested in mechanisms that allow them to undercut the host’s antibody production capacity by exerting a detrimental effect on the B cell compartment itself [37,38,39,40,41,42]. The latter makes the prospect for successful anti-trypanosome vaccine development challenging, as it requires that the race between the parasite trying to dismantle the immune system, and the immune system trying to eliminate the parasite, should be won by the latter, within days after the trypanosome enters the system. So far, this has not been achieved by any field-applicable approach, despite the publication of multiple promising laboratory results. To address the possibility of anti-trypanosome vaccination for T. brucei (and the closely related T. evansi), and to illustrate some of the immunological challenges at hand, we tackled two targets, i.e., trypanosomal enolase (ENO), and the invariant surface glycoprotein 75 (ISG75).
Glycolysis is a central metabolic pathway that is highly conserved across all kingdoms of life. Bloodstream form trypanosomes (the predominant parasite form in the mammalian host) use glycolysis as the sole source of ATP production, thereby making this pathway uniquely important for survival. Hence, the glycolysis represents an attractive pathway to target with regards to the development of trypanocidal drugs [43]. Interestingly, in trypanosomes, the first seven reactions of the glycolysis (and the enzymes that catalyze them) are contained within microbody-like organelles called glycosomes [44,45,46,47], which contrasts with most other organisms (in which glycolysis takes place in the cytoplasm). The enzymes catalyzing the last three glycolytic reactions (phosphoglycerate mutase, enolase, and pyruvate kinase) have a cytosolic location and are not part of the glycosomal machinery. This is the case for both T. b. brucei and T. evansi, two evolutionary related Trypanozoon parasites [48] displaying an identical subcellular localization of their glycolytic enzymes [49,50]. ENO is a glycolytic enzyme that catalyzes the reversible conversion of D-2-phosphoglycerate to phosphoenolpyruvate. The structural and kinetic features of T. brucei ENO have been thoroughly investigated [51,52,53]. A rather unexpected, yet interesting finding, is that trypanosomal ENO is actively secreted by the parasite during infection [54,55,56,57], thereby making it a target for the host immune system. The immunogenicity of the enzyme is highlighted by the fact that unbiased alpaca vaccination with T. evansi lysate, followed by phage display panning against the T. evansi secretome to obtain camelid single-domain antibodies (sdAbs aka Nanobodies), identified ENO as the most immunogenic target [58]. The presence of ENO in parasite secretome has also been reported for Leishmania species, where it has been suggested that an interaction with the host plasminogen receptor plays a role in invasiveness and virulence [59,60,61]. Hence, given its immunogenicity, its accessibility, and its conserved nature, trypanosomal ENO may also be of interest in vaccine research.
In contrast to ENO, ISG75 is a membrane-anchored, trypanosomal surface antigen identified three decades ago. Meanwhile, ISG75 has been identified as the surface binding target of the anti-trypanosomal drug suramin [62,63,64], although its exact biological function remains elusive. Despite the reported failure of ISG75 to induce a host antibody response in chronically infected animals [65], it was nonetheless assessed as a vaccine candidate due to its surface-exposed nature [66,67]. These initial studies did not show any protective efficacy of anti-ISG75 vaccination, and it was assumed that the antigen was rendered inaccessible to host antibodies by the trypanosome’s VSG coat. However, this hypothesis was called into question as more recent reports demonstrated that ISG75 can in fact be targeted by the host antibody response. In combination with T. b. gambiense VSG LiTat 1.5, ISG75 is one of the most promising specificity-increasing markers for HAT antibody-based diagnostics [68,69,70] and has also been shown to be a suitable target for T. evansi diagnosis in bovines [71,72]. Other work has shown that antibody-ISG75 surface interactions can be used to study membrane recycling process in trypanosomes, as well as for the localization of ISGs on the trypanosome surface [73,74]. Importantly, the protective effect of an experimental trypanosome flagellar pocket vaccine approach coincided with the presence of anti-ISG75 antibody induction [75].
In this paper, recombinant T. brucei ENO (TbENO) and T. b. gambiense ISG75 (TbgISG75) were thoroughly examined as vaccine candidates in T. b. brucei and T. evansi infection models. The rationale behind including trypanosomal ENO in the study stemmed from the idea that trypanosomes would only have only evolved to actively secrete one of their glycolytic enzymes if there would be a biological benefit. Hence, we wondered whether host antibodies responses against secreted trypanosomal ENO would have a detrimental effect on parasite fitness. ISG75 was selected in order to re-assess the potential of ISG75 as an immunogen, considering the more recent data with regards to ISG75-host antibody interactions. Our results demonstrate that both TbENO and TbgISG75 are exposed to the host humoral immune response and are highly immunogenic, as specific antibodies can be easily induced in experimental mouse models. However, these antibody responses are non-protective and have no impact on parasitemia when immunized mice are challenged with parasites.

2. Materials and Methods

2.1. Mice and Parasites Infections

Female 7- to 9-week-old C57Bl/6 were purchased from Koatech (Gyeonggy-do, South Korea). Mice were infected with the pleomorphic T. b. brucei AnTat 1.1E (EATRO 1125 stock) through intraperitoneal (i.p.) injection of 5000 parasites/mouse [68]. Cryo-stabilates containing 50/50 blood/Alsever (Sigma, St. Louis, MO, USA) with 10% glycerol were thawed and parasite counts were determined by hemocytometer. Samples were diluted in serum-free DMEM medium (Capricorn Scientific, Ebsdorfergrund, Hessen, Germany) to 104 parasites mL−1 and 100 μL of the dilution was used to infect the mice. For T. evansi infections the ITMAS 150799 ‘Colombia’ stabilate was used. This stabilate produces a reproducible infection pattern similar to that of T. b. brucei AnTat 1.1 when injected at a concentration of 200 parasites (i.p.) per mouse. Parasite inoculum sample dilution was done as described above. Every 2 to 3 days, blood parasite numbers were determined using a hemocytometer and light microscope and a 2.5 μL tail vein blood sample diluted 1/200 in DPBS (Invivogen, San Diego, CA, USA). Parasitemia was recorded for a total period of 38 days (T. brucei) or 50 days (T. evansi), to maximum survival time of both infections, respectively. All experimental mouse procedures were approved by the GUGC Institutional Animal Care and Use Committee (IACUC) (file # 2019-026).

2.2. Recombinant Production and Purification of TbENO

The recombinant production of TbENO in E. coli BL21(DE3) and its subsequent purification through a two-step protocol encompassing immobilized metal ion affinity and size exclusion chromatography (IMAC and SEC, respectively) were performed as previously described [58].

2.3. Recombinant Production and Purification of TbgISG75

The gene fragment encoding the extracellular domain of TbgISG75 (T. b. gambiense LiTat 1.3, accession number DQ200220.1) comprising residues 29–462 of the full-length protein was cloned into the mammalian expression vector pHLsec [76]. It encodes an N-terminal secretion sequence and a thrombin-cleavable, C-terminal hexahistine-tag. Transfection of Expi293F cells (ThermoFisher, Waltham, MA, USA) was carried out according to manufacturer instructions. Briefly, 100 mL of exponentially growing cells were transfected with 100 µg of plasmid. Kifunensine was added to the cell suspension at a concentration of 5 µM immediately after the transfection to produce a homogenous glycosylation pattern. Cells were harvested 4 days after transfection by centrifugation (10 min, 2000× g, 20 °C). The supernatant was filtered using a 0.45 µm bottle top filter unit and dialyzed twice for at least 4 h against 20 volumes of IMAC equilibration buffer (20 mM Tris, 500 mM NaCl, 10 mM Imidazole, pH 8.0). The dialyzed cell supernatant was applied to Nickel-NTA agarose beads (Qiagen, Hilden, Germany) using a gravity-flow column (BioRad, Hercules, CA, USA), washed with 20 column volumes of IMAC wash buffer (20 mM Tris, 500 mM NaCl, 30 mM Imidazole, pH 8.0) and the bound protein was eluted with 5 column volumes of IMAC elution buffer (20 mM Tris, 500 mM NaCl, 400 mM Imidazole, pH 8.0). Cleavage of the His-tag was carried out by addition of thrombin (GE) to the eluate which was immediately dialyzed against IMAC equilibration buffer at 20 °C overnight. Cleaved protein was separated from uncleaved protein by applying it again to nickel beads. The flow-through was subsequently concentrated to 500 µL using an Amicon centrifugal ultrafiltration device (Merck Millipore, Burlington, MS, USA) with a 10 kDa molecular weight cut-off (3300× g, 4 °C) and injected onto a Superdex S200 10/300 increase size exclusion column (GE healthcare) previously equilibrated with SEC running buffer (20 mM HEPES, 150 mM NaCl, pH 7.5). The fractions containing TbgISG75 were pooled, flash-frozen in liquid N2 and stored at −80 °C. Each purification step was monitored by SDS-PAGE for absence of contaminations, as well as degradation and >95% purity of the target protein in the final step.

2.4. Circular Dichroism (CD) Spectroscopy

For TbENO, far-UV CD data were recorded on a J-175 spectropolarimeter (Jasco, Easton, MD, USA). Continuous scans were taken using a 1 mm cuvette, a scan rate of 50 nm min−1, a band width of 1.0 nm, and a resolution of 0.5 nm. Five accumulations were taken at 20 °C in 50 mM sodium phosphate, 5 mM MgCl2, pH 7.0 at a protein concentration of 0.2 mg mL−1. Thermal unfolding experiments were performed by gradually increasing the temperature from 10 to 90 °C at a constant rate of 1 °C min−1. To follow the change in α-helicity, the mean residue ellipticity measured at 222 nm was plotted as a function of the temperature.
For TbgISG75, far-UV CD experiments were carried out on a Jasco J-1500 spectropolarimeter with a 0.2 mm path cell. TbgISG75 was measured at a concentration of 0.4 mg mL−1 in 10 mM Hepes, 150 mM NaF, pH 7.5. Spectra were recorded between 195 and 280 nm wavelength at an acquisition speed of 10 nm min−1 and corrected for buffer absorption. For calculation of melting curves at 222 nm, spectra were recorded every 5 degrees between 5 °C and 95 °C with a slope of 0.16 °C min−1.
In both cases, the raw CD data (ellipticity θ in mdeg) were normalized for the protein concentration and the number of residues according to the equation below, yielding the mean residue ellipticity ([θ] in deg cm2 mol−1), where MM, n, C, and l denote the molecular mass (Da), the number of amino acids, the concentration (mg mL−1), and the cuvette path length (cm), respectively.
[ θ ] = θ M M n C l
Secondary structure content was calculated using the DichroWeb server [77].

2.5. Small-Angle X-ray Scattering (SAXS) Data Collection and Processing

SAXS data were collected at ESRF, Grenoble (France), SAXS beamline BM29, using a Pilatus 2M detector (DECTRIS) and a wavelength of 0.99 Å at 20 °C. For SEC-SAXS, 50 µL ISG75 at 9.8 mg mL−1 were injected onto a Superdex 200 3.2/300 equilibrated in 20 mM Hepes, 150 mM NaCl, 3% (v/v) glycerol, pH 7.5 at a flow rate of 75 µL min−1. Scattering data were acquired as components eluted from the column and passed through the SAXS measuring cell. The ATSAS [78] software package was used to normalize the data to the intensity of the incident beam, average frames and subtract scattering contribution from the buffer. In detail, 10 frames corresponding to the void volume of the column were averaged and subtracted from ten averaged frames of the main elution peak. The radius of gyration, Rg; the maximum particle dimension, Dmax; and the distance distribution function, p(r), were evaluated using the program PRIMUS as part of the ATSAS package [78]. The excluded volume of the hydrated particle (the Porod volume, Vp) was computed using the Porod invariant [79]. The particle mass was calculated using the Bayesian interference method [80]. Particle shapes at low resolution were reconstructed ab initio by the bead-modeling program DAMMIF [81] using default parameters and evaluated using their normalized spatial discrepancy parameter. UCSF Chimera [82,83] was used for envelope reconstruction.

2.6. Isothermal Titration Calorimetry (ITC)

The interactions between TbENO and anti-TbENO camelid single-domain antibodies (sdAb11 and sdAb77) [58] were investigated by ITC on a MicroCal PEAQ-ITC instrument (Malvern). In all experiments, the sdAbs were titrated into the sample cell containing TbENO. The following concentrations were used for the different data sets: sdAbs (50 μM)-TbENO (5 μM). All proteins were extensively dialyzed against the same buffer (50 mM sodium phosphate, 5 mM MgCl2, pH 7.0) to exactly match buffer composition. Before being examined in the calorimeter, all samples were degassed for 10 min at a temperature close to the titration temperature (25 °C) to prevent long equilibration delays. The reference power was set to 5 μcal s−1 and a stirring speed of 750 rpm was used. An equilibrium delay of 180 s before the start of each measurement was employed, while a spacing of 150 s between each injection was used. During data collection, sixteen injections were used with variable injection volumes ranging from 1.5 to 3.0 μL. The first injection was always 0.4 μL and its associated heat was never considered during data analysis. To determine the injection heats, control titrations were performed consisting of injections of sdAbs into the buffer-filled cell (thus in the absence of TbENO). Baseline adjustment, control subtraction and data analysis were performed using the MicroCal PEAQ-ITC analysis software. The data were analyzed with the “one set of sites” binding model resulting in fitted values for the stoichiometry of the interaction (N), the association constant (Ka), and the change in enthalpy (ΔHa) and entropy (ΔSa) associated with the binding events. All experiments were performed in triplicate.

2.7. Vaccine Procedure and In Vivo T. b. brucei Challenge

Mice were vaccinated according to the previously published protocol [75]. In short, vaccination was performed using 10 µg recombinant protein per mouse, emulsified in 100 µL DPBS (Invivogen, San Diego, CA, USA) and 100 µL Complete Freunds’ Adjuvants (CFA, Sigma) administered subcutaneously (s.c.) in the scruff of the neck. After 21 and 42 days, mice received a booster injection (s.c.) with the same amount of recombinant protein, but substitution CFA by IFA (incomplete Freunds’ Adjuvant, Sigma). Twelve weeks later, mice were infected i.p. with either 5000 T. b. brucei parasites/mouse or 200 T. evansi parasites/mouse. Mock vaccinated mice received non-supplemented adjuvants injections following the same injection scheme.

2.8. Quantification of Anti-TbENO and Anti-TbgISG75 Antibody Titers by ELISA

TbENO or TbgISG75 was coated on a 96-well half-area clear flat bottom polystyrene high-bind microplate (Corning Inc., Corning, NY, USA) at 4 °C overnight, using 0.1 µg/50 µL/well in 0.05 M bicarbonate 9.6 pH coating buffer (3.7 g sodium bicarbonate (NaHCO3)/0.64 g sodium carbonate (Na2CO3)/1 L H2O). Heparinized plasma was collected from infected mice and stored in aliquots at −20 °C. At several timepoints throughout the experiment, plasma IgM, IgG1, IgG2b, IgG2b and IgG3 titers were determined using a plasma diluted series of 1/3, starting at 1/200, with DPBS (Invivogen, San Diego, CA, USA) as diluent and horseradish peroxidase-labeled specific secondary antibodies (Southern Biotech, Birmingham, AL, USA, kit Cat. No. 5300-05). TMB (Sigma, St. Louis, MO, USA Cat. No. T0440) substrate conversion was measured at 450 nm (with 570 nm as background wavelength) using a Multiskan PC ELISA reader (Thermo Scientific, Waltham, MA, USA). For all ELISA assays, graphic representations of the results were generated using a non-linear regression with asymmetrical five-parameter curve fitting (GraphPad, San Diego, CA, USA).

2.9. Cell Preparation and Flow Cytometry Analysis

Spleen cells were isolated at 14 days post infection (dpi). Homogenized single-cell suspensions were prepared in 6 mL of DMEM (Capricorn Scientific, Ebsdorfergrund, Hessen, Germany) supplemented with 10% FBS (Atlas Biologicals, Fort Collins, CO, USA) and 1% penicillin/streptomycin using gentleMACS™ Dissociator (Miltenyi Biotec, Bergisch Gladbach, Germany). Cells were passed through a 70-µm cell strainer (SPL Life Sciences, Gyeonggi-do, South Korea), and centrifuged at 314× g for 7 min at 4 °C, followed by re-suspension and incubation in RBC lysis buffer (BioLegend, San Diego, CA, USA) at 4 °C for 5 min. After washing (314× g 7 min at 4 °C), cells were kept on ice in FACSFlow sheath fluid (BD Biosciences, San Jose, CA, USA) containing 0.05% FBS (Atlas Biologicals, USA) and Fc block (CD16/CD32 Fcγ III/II, BioLegend, San Diego, CA, USA) (1/1000 dilution) for 30 min in the dark at 4 °C. Next, 105 cells per sample were incubated for 30 min in the dark at 4 °C, with antibody cocktails specific for different splenocytes populations, followed by flow cytometry analysis using a BD Accuri™ C6 Plus flow cytometer (BD Biosciences, San Jose, CA, USA). The gating strategies used have previously been published [84], and the percentage of each population was determined by dividing the number of events within a specific gate, by the total number of events within live gate.

2.10. Flow Cytometry Detection Reagents

The following antibodies (BioLegend, San Diego, CA, USA) were added to 100 µL aliquots of 105 Fc-blocked splenocytes prepared as described above to make a final 1/600 dilution: anti-CD1d-PE(clone 1B1), anti-B220-FITC (clone RA3-6B2), anti-CD93-APC (clone AA4.1), anti-CD138-PE-Cy7 (clone 281-2), anti-GL7-PE (clone GL7), anti-Ly6G-Alexa488 (clone 1A8), anti-Ly6C-PE (clone HK 1.4), anti-CD4-FITC (clone GK 1.5), anti-CD8-PE (clone 53-6.7), anti-NK1.1-APC(clone PK 136), anti-TCRβ-PE-Cy7 (clone H57-597).

2.11. Statistical Analysis

GraphPad Prism v.8.3 (GraphPad Software Inc., San Diego, CA, USA) was used for data presentation and statistical result analysis. Data were compared with naïve samples using Student’s t-test. Means are given as ±standard deviation (SD).

3. Results

3.1. Recombinant TbENO and TbgISG75 Are Correctly Folded and Biologically Relevant

The TbENO and TbgISG75 immunogens employed in this study were obtained from recombinant sources. To ensure that the target proteins are properly folded and thus biologically relevant, they are subjected to a stringent quality control relying on biochemical and biophysical methods.
TbENO is recombinantly produced in E. coli BL21(DE3) and subsequently purified from the cytoplasmic fraction via a two-step purification protocol encompassing IMAC and SEC (Figure 1A). We have previously demonstrated that this approach yields highly pure, enzymatically active, dimeric, and properly folded TbENO batches [58]. To underline the reproducibility of our methods, we again performed CD spectroscopy. As can be seen from Figure 1B, the CD spectrum of TbENO contains the typical features of a protein composed of α-helices and β-sheets, which is in line with the expectations based on the TbENO crystal structure [52]. Thermal denaturation followed at 222 nm reveals an apparent melting temperature (Tm,app) at ~54 °C, which is in accordance with our previous findings [58] and supports the presence of a properly folded quaternary structure pre-transition. In addition, we investigated the interactions between TbENO and two anti-TbENO sdAbs (sdAb11 and sdAb77) by ITC. Both sdAbs were obtained previously and recognize the native antigen with high affinity and specificity [58]. The ITC data reveal that both sdAbs bind recombinant TbENO with high affinity and with the previously reported stoichiometry of one sdAb for one TbENO monomer (Figure 1C), thereby strongly advocating that recombinant TbENO is equivalent to its native counterpart secreted by the parasite.
TbgISG75 is recombinantly produced in transiently transfected mammalian cells (HEK293F) from which it is secreted into the culture medium. From here, TbgISG75 is purified to homogeneity through a combination of IMAC and SEC (Figure 1A). As for TbENO, we employed CD spectroscopy to assess the presence of secondary structure elements (Figure 1D). TbgISG75 shows features typically found in surface proteins of African trypanosomes such as an all α-helical fold and a high content of low-complexity regions (LCRs; turns and random coils) [85]. In comparison, the structure of a typical VSG (PDB-ID: 2VSG [86]) consists of 52.0% alpha helices, 5.3% beta sheets, 23.4% turns and 19.3% random coils. The structure of the Trypanosoma brucei transferrin receptor (PDB-ID: 6SOZ [87]) representative for other surface proteins has 54.8% percent alpha-helical content, 4–6% beta-sheets, 22.3% turns and 18.3% random coils. LCRs in trypanosome surface proteins are located mainly in the membrane distal head domain where they can act as immune decoys or ligand-binding regions as well as the membrane-proximal, C-terminal domains that connect to the GPI-anchor (or in case of ISG75 to the transmembrane domain) and create a flexible cushion between the N-terminal domains and the cell membrane [88]. In addition, TbgISG75 displays a relatively high thermostability with a Tm,app of ~41 °C and a clear folding transition, suggestive of tertiary structure (Figure 1D). Small-angle X-ray scattering (SAXS) experiments further confirm that recombinant TbgISG75 preparations are indeed monodisperse, containing well-folded, moderately elongated particles with dimensions typical for the canonical 3-helix bundle fold of trypanosomal surface proteins [8,89] (Figure 1E).
Altogether, the data demonstrate that the obtained recombinant protein batches are of high purity and quality. The ENOs and ISG75s from T. brucei and T. evansi display a sequence identity of 100.0% and 95–98%, respectively, thereby justifying their use as immunogens in both T. brucei and T. evansi experimental mouse vaccination and infection models.

3.2. TbENO Is a Highly Immunogenic Antigen When Used in a CFA/IFA Vaccination Protocol

Given the presence of trypanosomal ENO in the parasite’s secretome and its potential role in host–parasite interactions, we investigated its immunogenicity. Recombinant TbENO was employed to vaccinate C57BL/6 mice three times with 3-week intervals between each injection, with immunogens emulsified in a 1/1 protein (PBS)/CFA (first vaccination) or 1/1 protein (PBS)/IFA preparation (2nd and 3rd boost) (Figure 2A). Three weeks after the third boost, specific antibodies titers were measured focusing on class-switched IgG responses. The obtained data indicate that TbENO is highly immunogenic with the following endpoint titers (Figure 2B): (i) circulating IgG1 exceeding 1/106, (ii) IgG2b and IgG2c levels close to 1/500,000, and (iii) IgG3 reaching just over 1/104. Mice were kept unchallenged for a total of 12 weeks to ensure that a subsequent parasite challenge was not affected by the immediate presence of acute vaccine-induced immune responses. Prior to challenge with parasites, the endpoint titers of all IgG anti-TbENO subclasses were measured once again and showed a 3-fold dilution drop for IgG1, IgG2b and IgG2c in endpoint titers, while a 9-fold drop was recorded for IgG3. These results are indicative of the circulation of vaccine-induced long-lived plasma cells. Twelve weeks after the third boost, mice were challenged with T. b. brucei or T. evansi parasites and at 14 dpi (days post infection), specific anti-TbENO endpoint titers were determined once more. The data in Figure 2B show that T. brucei infection causes a marginal increase in IgG2c and IgG3 titers (i.e., a one-dilution shift in the 3-fold dilution series), while IgG1 and IgG2b remain the same as those observed prior to infection. For the T. evansi infection, no measurable differences in endpoint titers were observed before and after infection.

3.3. TbgISG75 Is a Highly Immunogenic Antigen When Used in a CFA/IFA Vaccination Protocol

Because of the ongoing debate with regards to whether ISG75 can efficiently elicit host antibodies, we re-assessed the immunogenicity of TbgISG75 by employing the same experimental setup outlined above for TbENO (Figure 2A). Here, our data show that TbgISG75 is immunogenic, albeit slightly less when compared to TbENO, with the following endpoint titers (Figure 3): (i) circulating IgG1 levels of 1/500,000, (ii) IgG2b and IgG2c levels just over 1/105, and (iii) significantly lower IgG3 levels of 1/2000. Furthermore, here, mice were kept unchallenged for a total of 12 weeks, during which IgG endpoint tires dropped 3- to 9-fold, with the larger drop for IgG1 and IgG2c. Twelve weeks after the third boost, mice were challenged with either T. b. brucei or T. evansi parasites and at 14 dpi, specific anti-TbgISG75 endpoint titers were determined. The data in Figure 3 show that T. brucei challenge had no effect on the endpoint titers of IgG1 and IgG2b, induced a 3-fold induction of IgG2c and also caused a 9-fold increase in IgG3 anti-TbgISG75 titers. For the T. evansi infection, a similar trend was noted albeit the increase in IgG3 was less pronounced (3-fold).

3.4. TbENO/TbgISG75 Vaccination Does Not Alter T. b. Brucei or T. evansi Infection Progression

Following vaccination and a 12-week waiting period, mice were challenged with either 5000 T. b. brucei AnTat 1.1 parasites, or 200 T. evansi ‘Colombia’ parasite by i.p. injection. For both groups, 10 mice were used, and parasitemia was monitored at 2-day intervals. Figure 4A shows that neither the TbENO nor the TbgISG75 vaccination had any measurable effect on parasitemia development of the clonal T. b. brucei AnTat 1.1 parasite. The first peak of infection occurred at the same time in all mice. Mice were euthanized as they developed severe end-stage anemia and infection-associated morbidity, which happened in a similar timeframe in the three experimental groups. Similarly, the T. evansi ‘Colombia’ stabilate developed a parasitemia profile that was similar in all experimental groups (Figure 4B). As this stabilate is close to its field origin, the parasitemia following the first peak showed grater variations than those observed in the T. b. brucei infection, but overall, there was no difference in survival between the mice in the three experimental groups.

3.5. TbENO/TbgISG75 Vaccination Does Not Alter T. b. brucei Infection-Associated Immunopathology

Inflammatory modulation of the spleen compartment is a hallmark of experimental trypanosomosis. Hence, the splenic cellular composition of naïve mice was compared to the compositions found in both TbENO and TbgISG75 vaccinated mice, at 12 weeks after the third boost, as well as in vaccinated infected mice. Finally, these observations were compared to the splenic cellular composition of non-vaccinated infected mice. These experiments focused on the T. b. brucei AnTat 1.1 infection and confirmed the lack of any positive vaccine-related outcome on infection. The experiments were not repeated for the T. evansi ‘Colombia’ stock. In order to identify mature B cell subpopulations, spleen cells were first gated based on their FSC/SSC pattern and subsequently selected based on B220+ expression, while excluding CD138+ and CD93+ cells representing plasma cells and immature B cells, respectively (Figure 5). Plasma cells were directly gated from the FSC/SCC plot, using B220+/CD138+ as phenotype. Monocytes were also characterized directly from the FSC/SCC plot, using a CD11b+/Ly6C+ plot to visualize double-positive cells, while granulocytes were identified using a CD11b+ pre-gating, followed by a Ly6G+/Ly6C+ plot, in which the Ly6G+ population is clearly identifiable. For both marginal zone and follicular B cells (MZB/FoB), it is clear that both naïve and vaccinated mice have similar population sizes, but that infection has a dramatic effect after two weeks, leading to the total collapse of the MZB compartment, and a significant reduction of 50–75% in FoB cells population size. This reduction is seen in both vaccinated and non-vaccinated infected mice, showing that there is no beneficial effect noticeable that could be attributed to either the TbENO or TbgISG75 immunization strategy. The plasma cell population was low in both naïve and vaccine mice (0.19–0.34% of the total spleen) but increased dramatically upon infection (7.89–10.42%). However, also here the effect is mainly attributed to infection itself. Interestingly, the data in Figure 5 suggest that the increase in plasma cells is slightly higher in the TbENO-vaccinated mice, coinciding with the slight infection-induced increase in anti-TbENO IgG titers in vaccinated mice presented in Figure 2. The slight increase in plasma cells (PCs) in the infected TbgISG75 vaccinated mice coincided only with a slight increase in IgG2c infection-induced antibody titers. Interestingly, in both vaccine groups, the percentage of spleen monocytes increased at least 2-fold as compared to the non-vaccine naïve mice. This increase is, however, dwarfed by the infection-induced 3- to 6-fold expansion of this population in infected mice. Here also expansion seems to be mainly driven by infection itself, as there was no difference observed between non-vaccinated infected mice and TbgISG75-vaccinated infected mice. In TbENO-vaccinated mice there appeared to be a more pronounced accumulation of spleen monocytes, but this obviously did not have a beneficial effect for parasitemia control. Finally, splenic granulocyte accumulation has been identified in the past as a hallmark of trypanosomosis-associated spleen inflammation, a finding that is confirmed here. As for the monocytes, it appears that both the TbENO and TbgISG75 immunizations resulted in a prolonged 2-fold increase in the presence of spleen granulocytes. However, at 14 dpi, the further increase in the granulocyte population size (most notably in the TbENO-vaccinated group) showed that none of the mice showed any level of protection against infection-induced immunopathology and inflammation.

4. Discussion

Vaccination is considered to be the key to success when it comes to controlling the spread of infections, as well as limiting the detrimental health effect of diseases [90,91]. While the last century has shown that vaccines can eradicate disease such as smallpox and polio, and the recent Covid-19 pandemic has shown how vaccines can reduce disease-associated death and morbidity, successful examples are mostly related to fighting viral and bacterial infections [92]. In contrast, when it comes to vaccine efficacy against parasites, progress has been slow or unsuccessful. While a popular notion could exist that the latter is due to lack of funding and/or scientific interest, the reality is different. Indeed, when dealing with parasites, one must consider that these organisms have adapted to live within the defense environment of their host. For parasites to be able to do so, they must be perfectly adapted to overcome all the defense systems of the innate and adaptive immunity, as their ultimate goal is to cause long persistent infections without necessarily causing harm to their host. In the end, there appears to be no evolutionary advantage for a parasite to kill its host through excessive pathology.
Within the group of mammalian parasites, salivarian trypanosomes must be considered as rather unique, as they have adopted all necessary means to survive in plain sight of the host immune system [24]. They are extracellular single-cell organisms that should in principle be easily targeted by the phagocytic as well as the antibody-mediated immune system, yet they thrive in the blood and lymphatics of their host, and cause infections that can perpetuate for years. Trypanotolerant animals, such as N’Dama cattle and West African dwarf goats and sheep, can indeed serve as transmission hosts for both HAT and AT, without suffering from severe infection-associated pathology themselves. Interestingly, trypanosomes have always been at the forefront of medical science, ever since Paul Ehrlich conceptualized the idea chemotherapy, by using the cellular dyes trypan red and trypan blue as trypanotoxins [93]. Much later, trypanosome immunology was part of the discovery of cytokine function, with the study of T. b. brucei-induced inflammation and AT-associated wasting disease being at the cradle of the identification of cachectin/TNF [94,95]. Finally, in the field of molecular biology and antigenic variation, trypanosomes have offered a unique research model since the discovery of the VSG coat in 1975 [96,97,98]. Unfortunately, it was also the discovery of VSG switching which led Cornelissen et al. to conclude in 1985 that the prospect for the development of a successful field applicable anti-trypanosome vaccines was “not good” [99], a statement that still stands today. With the additional discovery that trypanosomes adopt a very active strategy of B cell and memory destruction, the situation looks even more complicated [41]. Obviously, the latter strategy prevents attack by cross-reacting antibodies, or the T-cell mediated recognition of conserved VSG epitopes, when different but similar VSG are being used in successive parasitemia waves. The latter has been shown to occur, even across trypanosome species [100]. Unfortunately, the infection-induced B cell destruction also causes collateral damage, as it results in the abrogation of immunization efficacy of non-related vaccines in trypanosome-infected animals, and possibly humans [101].
In recent years, at least 15 publications have shown ‘promising’ vaccine results in various trypanosome models, albeit most of them under laboratory conditions [101]. Unfortunately, virtually none of them addressed the immunological aspect of memory recall activation [102]. Strategies included intracellular targets inaccessible to antibody attack (such as tubulin) and implemented most often extremely short waiting periods between boost and challenge, making it hard to grasp which immunological principle would have been triggered to provide protection. A recent study on the use of the T. evansi paraflagellar rod proteins PFR1 and PFR2, in which the infection challenge was performed only 7 days after the last vaccine boost, showed that the presence of high anti-target IgG titers at the moment of parasite challenge could delay the onset of parasitemia, but in the end failed to provide any sterile protection [103]. Most recently, it was shown that an anti-T. vivax vaccine using the ectodomain of the invariant cell-surface flagellum antigen IFX conferred protection against a subsequent T. vivax challenge in 10/15 mice, and that protection was observed even when parasite challenges were performed repeatedly over a 100-day period following the last vaccine boost. Unfortunately, also here, preliminary results showed that the protective effect observed in mice could not be translated to a goat model, possibly because mice were challenged with a rather low dose of parasites [104].
The trypanosomal flagellar pocket (a membrane invagination concentrating ISGs, including ISG75, and other receptors), appeared at one stage to be a good lead to build an anti-trypanosome vaccine approach. Anti-FP vaccination provided partial protection against both heterologous experimental infections in mice, as well as natural challenges in cattle [75,105]. Importantly, the controlled laboratory setup showed that the infectious dose was crucial, and that protection was only observed with a low-dose challenge, i.e., 500 parasites. Considering that a tsetse fly bite is believed to contain up to 40.000 metacyclic trypomastigotes [106], this could explain why translation of laboratory anti-trypanosome vaccination results to field settings have not been successful so far. Hence, in the study performed here, mice were challenged with 5000 parasites (a standard dose in mouse T. b. brucei research [68]) to potentially avoid inserting a favorable bias towards the outcome in the experimental design. In addition, the time between the last vaccine boost and parasite challenged was chosen to be extended up to 12 weeks. The rationale here was to test vaccine memory, rather than the immediate effect of high titers of vaccine-induced antibodies. During this ‘waiting’ period, mice did not receive additional exposure boosts with parasite material, as was done in the T. vivax vaccination approach referred to above [104], since this would have biased the immune system to maintaining increased anti-target antibody titers. Hence, using our approach, we have shown that the recombinantly obtained TbENO and TbgISG75 are highly immunogenic molecules, capable of inducing extremely high IgG antibody titers in a CFA/IFA vaccination protocol. Despite a strong humoral response, these immunogens were unable to confer protection against either T. b. brucei or T. evansi in a proper memory recall/challenge experiment. The stringent quality control imposed on our recombinant protein batches ensure that they are of high purity and quality and eliminate the possibility that vaccine failure was the result of poorly folded, low-quality, low-purity immunogens. Instead, the obtained results most likely once more point to the fact that a molecular arms race starts as soon as trypanosomes are exposed to the immune system. On one hand, the parasite needs to undermine the specific antibody production capacity by the host, while on the other, the host immune system aims to kill the parasite before successful VSG switching starts to take place. In the case of T. b. brucei, it has been described that the detrimental effect on the B cell compartment is initiated 6 days post infection [41], and the results outlined here confirm that such destructing takes place, also during T. evansi infections. Hence, these data show that trypanosomes win the arms race, as the host simply seems incapable of turning any B cell memory into a fully activated plasma cell antibody production compartment within the first 3–4 days of infection. The mammalian immune system simply needs more time, and the trypanosome apparently has adapted to the timing constraints of the mammalian immune system. Secondly, it is well possible that the mechanisms of antibody-VSG ‘sailing’ that have been described as an immune-evasion mechanism to clear host antibodies from the surface, also reduce surface anti-ISG75 levels below a critical threshold level [30,31,107]. As for the lack of vaccine effect in the ENO setup, it is possible that the enzyme plays a role in natural transmission cycle of infection (which was not addressed here) or that the released form of the enzyme plays a biological role in the host, in a location where it is inaccessible to vaccine-induced antibodies (for example, inside host cells).
With the recent success in the control of HAT [108], one might wonder whether there is still a need for continuing anti-trypanosome vaccine research. However, the final battle against HAT cannot be won without remembering (i) that the vast wildlife animal reservoir cannot be controlled by active case detection and treatment, and (ii) that farm animals function as intermediate hosts for HAT transmission. Hence, anti-trypanosome vaccination of livestock is the only viable approach to the sustainable control of trypanosomosis, preventing re-emergence of HAT, and eliminating the economic hardship created by AT for smallholder farming communities. Therefore, we would like to conclude that it is important to continue the research towards functional anti-trypanosome vaccines that will make a difference in the field. It could even be that in highly endemic areas, long-lasting immunological memory responses are less important, as regular natural exposers would possibly keep vaccine-induced IgG responses high enough to exert their critical function. With respect to the choice of antigens, maybe it is time to take a new approach. While deep-learning B cell epitope prediction certainly has its merits when it comes to diagnostic developments [109], the idea that this would lead the way into new vaccine developments [110] is however doubtful. This conclusion is based on the fact that (at least in the case of trypanosomosis) the problem at hand seems to be unrelated to the lack of immunogenicity of target molecules. Hence, the ‘alternative’ answer for future anti-trypanosome vaccine development should maybe be sought in looking for non-immunogenic proteins, such as the T. vivax IFX candidate [104]. This target, representing the ectodomain of a newly identified invariant cell-surface trypanosome protein did induce sterile protection against the experimental challenge with trypanosomes. Indeed, if there is one chance to catch trypanosomes ‘off guard’, it should most likely be done by providing a potential future host with the capacity to load the plasma with antibodies against conserved trypanosome targets prior to a first challenge. Such targets would obviously only be conserved when trypanosomes did not experience the evolutionary need to build in variation. Mounting an artificial IgG response prior to exposure hence would give the host a head start in the above-mentioned molecular arms race, beating the trypanosome in its race to destroy the host B cell immune response. Unfortunately, convincing granting agencies of the logic behind deliberately building a vaccine research program starting with non-immunogenic targets might prove to be difficult. The future will tell.

Author Contributions

Conceptualization, S.M.; methodology, S.M., S.Z. and Y.G.-J.S.; validation, S.M., Z.L., H.T.T.N., J.E.P.T., M.R., J.B., S.Z. and Y.G.-J.S.; formal analysis, S.M., Z.L., H.T.T.N., J.E.P.T., P.V.W., M.R., J.B., S.Z. and Y.G.-J.S.; investigation, S.M., Z.L., H.T.T.N., J.E.P.T., P.V.W., M.R., J.B., S.Z. and Y.G.-J.S.; resources, S.M., M.R., S.Z. and Y.G.-J.S.; data curation, S.M., Z.L., H.T.T.N., J.E.P.T., P.V.W., M.R., J.B., S.Z. and Y.G.-J.S.; writing—original draft preparation, S.M., S.Z. and Y.G.-J.S.; writing—review and editing, S.M., Z.L., H.T.T.N., J.E.P.T., P.V.W., M.R., J.B., S.Z. and Y.G.-J.S.; visualization, S.M., H.T.T.N., S.Z. and Y.G.-J.S.; supervision, S.M., Z.L., J.E.P.T., P.V.W., S.Z. and Y.G.-J.S.; project administration, S.M., S.Z. and Y.G.-J.S.; funding acquisition, S.M., S.Z. and Y.G.-J.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Foundation for Scientific Research/Fonds voor Wetenschappelijk Onderzoek–Vlaanderen (G013518N), a UGent BOF startkrediet (01N01518), the Strategic Research Program of the Vrije Universiteit Brussel (SRP63), a grant of the China Scholarship Council (CSC) and a research grant of the University of Antwerp (DOCPRO1, FFB190197). J.B. and S.Z. were funded by a junior group start-up grant provided by the Institute of Organic Chemistry and Biochemistry, CAS, CZ.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the GUGC Institutional Animal Care and Use Committee (IACUC) (protocol code #2019-026 approval date 15-11-2019).

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available upon request from the corresponding author.

Acknowledgments

We are grateful to Anton Popov at the ESRF (BioSAXS beamline BM29) for outstanding beamline support.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Mogk, S.; Boßelmann, C.M.; Mudogo, C.N.; Stein, J.; Wolburg, H.; Duszenko, M. African trypanosomes and brain infection—The unsolved question. Biol. Rev. 2017, 92, 1675–1687. [Google Scholar] [CrossRef]
  2. Kristensson, K.; Nygard, M.; Bertini, G.; Bentivoglio, M. African trypanosome infections of the nervous system: Parasite entry and effects on sleep and synaptic functions. Prog. Neurobiol. 2010, 91, 152–171. [Google Scholar] [CrossRef]
  3. Trindade, S.; Rijo-Ferreira, F.; Carvalho, T.; Pinto-Neves, D.; Guegan, F.; Aresta-Branco, F.; Bento, F.; Young, S.A.; Pinto, A.; Abbeele, J.V.D.; et al. Trypanosoma brucei Parasites Occupy and Functionally Adapt to the Adipose Tissue in Mice. Cell Host Microbe 2016, 19, 837–848. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Franco, J.R.; Simarro, P.P.; Diarra, A.; Jannin, J.G. Epidemiology of human African trypanosomiasis. Clin. Epidemiol. 2014, 6, 257–275. [Google Scholar] [CrossRef] [PubMed]
  5. Radwanska, M.; Vereecke, N.; Deleeuw, V.; Pinto, J.; Magez, S. Salivarian Trypanosomosis: A Review of Parasites Involved, Their Global Distribution and Their Interaction with the Innate and Adaptive Mammalian Host Immune System. Front. Immunol. 2018, 9, 2253. [Google Scholar] [CrossRef] [PubMed]
  6. Capewell, P.; Cooper, A.; Clucas, C.; Weir, W.; Macleod, A. A co-evolutionary arms race: Trypanosomes shaping the human genome, humans shaping the trypanosome genome. Parasitology 2015, 142, S108–S119. [Google Scholar] [CrossRef] [Green Version]
  7. Pays, E.; Vanhollebeke, B.; Uzureau, P.; Lecordier, L.; Pérez-Morga, D. The molecular arms race between African trypanosomes and humans. Nat. Rev. Microbiol. 2014, 12, 575–584. [Google Scholar] [CrossRef]
  8. Zoll, S.; Lane-Serff, H.; Mehmood, S.; Schneider, J.; Robinson, C.V.; Carrington, M.; Higgins, M.K. The structure of serum resistance-associated protein and its implications for human African trypanosomiasis. Nat. Microbiol. 2018, 17, 1–9. [Google Scholar] [CrossRef]
  9. Truc, P.; Büscher, P.; Cuny, G.; Gonzatti, M.I.; Jannin, J.; Joshi, P.; Juyal, P.; Lun, Z.-R.; Mattioli, R.; Pays, E.; et al. Atypical Human Infections by Animal Trypanosomes. PLoS Neglect. Trop. Dis. 2013, 7, e2256. [Google Scholar] [CrossRef] [Green Version]
  10. Chau, N.V.V.; Chau, L.B.; Desquesnes, M.; Herder, S.; Lan, N.P.H.; Campbell, J.I.; Cuong, N.V.; Yimming, B.; Chalermwong, P.; Jittapalapong, S.; et al. A Clinical and Epidemiological Investigation of the First Reported Human Infection with the Zoonotic Parasite Trypanosoma evansi in Southeast Asia. Clin. Infect. Dis 2016, 62, 1002–1008. [Google Scholar] [CrossRef] [Green Version]
  11. Vanhollebeke, B.; Truc, P.; Poelvoorde, P.; Pays, A.; Joshi, P.P.; Katti, R.; Jannin, J.G.; Pays, E. Human Trypanosoma evansi Infection Linked to a Lack of Apolipoprotein L-I. N. Engl. J. Med. 2006, 355, 2752–2756. [Google Scholar] [CrossRef]
  12. Osório, A.L.A.R.; Madruga, C.R.; Desquesnes, M.; Soares, C.O.; Ribeiro, L.R.R.; Costa, S.C.G. da Trypanosoma (Duttonella) vivax: Its biology, epidemiology, pathogenesis, and introduction in the New World—A review. Memórias Inst. Oswaldo Cruz 2008, 103, 1–13. [Google Scholar] [CrossRef] [Green Version]
  13. Dyonisio, G.H.S.; Batista, H.R.; da Silva, R.E.; Azevedo, R.C.D.F.E.; Costa, J.D.O.J.; Manhes, I.B.D.O.; Tonhosolo, R.; Gennari, S.M.; Minervino, A.H.H.; Marcili, A. Molecular Diagnosis and Prevalence of Trypanosoma vivax (Trypanosomatida: Trypanosomatidae) in Buffaloes and Ectoparasites in the Brazilian Amazon Region. J. Med. Entomol. 2020, 58, 403–407. [Google Scholar] [CrossRef] [PubMed]
  14. Chávez-Larrea, M.A.; Medina-Pozo, M.L.; Cholota-Iza, C.E.; Jumbo-Moreira, J.R.; Saegerman, C.; Proaño-Pérez, F.; Ron-Román, J.; Reyna-Bello, A. First report and molecular identification of Trypanosoma (Duttonella) vivax outbreak in cattle population from Ecuador. Transbound. Emerg. Dis. 2020, 68, 2422–2428. [Google Scholar] [CrossRef] [PubMed]
  15. Desquesnes, M.; Holzmuller, P.; Lai, D.-H.; Dargantes, A.; Lun, Z.-R.; Jittaplapong, S. Trypanosoma evansi and Surra: A Review and Perspectives on Origin, History, Distribution, Taxonomy, Morphology, Hosts, and Pathogenic Effects. BioMed Res. Int. 2013, 2013, 1–22. [Google Scholar] [CrossRef] [Green Version]
  16. Desquesnes, M.; Dargantes, A.; Lai, D.-H.; Lun, Z.-R.; Holzmuller, P.; Jittapalapong, S. Trypanosoma evansiand Surra: A Review and Perspectives on Transmission, Epidemiology and Control, Impact, and Zoonotic Aspects. BioMed Res. Int. 2013, 2013, 1–20. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Gutierrez, C.; Desquesnes, M.; Touratier, L.; Büscher, P. Trypanosoma evansi: Recent outbreaks in Europe. Vet. Parasitol. 2010, 174, 26–29. [Google Scholar] [CrossRef] [PubMed]
  18. Tamarit, A.; Gutierrez, C.; Arroyo, R.; Jimenez, V.; Zagalá, G.; Bosch, I.; Sirvent, J.; Alberola, J.; Alonso, I.; Caballero, C. Trypanosoma evansi infection in mainland Spain. Vet. Parasitol. 2010, 167, 74–76. [Google Scholar] [CrossRef]
  19. Defontis, M.; Richartz, J.; Engelmann, N.; Bauer, C.; Schwierk, V.M.; Büscher, P.; Moritz, A. Canine Trypanosoma evansi infection introduced into Germany. Vet. Clin. Path. 2012, 41, 369–374. [Google Scholar] [CrossRef]
  20. Desquesnes, M.; Bossard, G.; Patrel, D.; Herder, S.; Patout, O.; Lepetitcolin, E.; Thevenon, S.; Berthier, D.; Pavlovic, D.; Brugidou, R.; et al. First outbreak of Trypanosoma evansi in camels in metropolitan France. Vet. Rec. 2008, 162, 750–752. [Google Scholar] [CrossRef]
  21. Rodríguez, N.F.; Tejedor-Junco, M.T.; González-Martín, M.; Gutierrez, C. Stomoxys calcitrans as possible vector of Trypanosoma evansi among camels in an affected area of the Canary Islands, Spain. Rev. Soc. Bras. Med. Trop. 2014, 47, 510–512. [Google Scholar] [CrossRef]
  22. Baldacchino, F.; Desquesnes, M.; Mihok, S.; Foil, L.D.; Duvallet, G.; Jittapalapong, S. Tabanids: Neglected subjects of research, but important vectors of disease agents! Infect. Genet. Evol. 2014, 28, 596–615. [Google Scholar] [CrossRef] [PubMed]
  23. Aregawi, W.G.; Agga, G.E.; Abdi, R.D.; Büscher, P. Systematic review and meta-analysis on the global distribution, host range, and prevalence of Trypanosoma evansi. Parasite Vector 2019, 12, 1–25. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Magez, S.; Torres, J.E.P.; Oh, S.; Radwanska, M. Salivarian Trypanosomes Have Adopted Intricate Host-Pathogen Interaction Mechanisms That Ensure Survival in Plain Sight of the Adaptive Immune System. Pathogens 2021, 10, 679. [Google Scholar] [CrossRef]
  25. Bangs, J.D. Evolution of Antigenic Variation in African Trypanosomes: Variant Surface Glycoprotein Expression, Structure, and Function. Bioessays 2018, 40, 1800181. [Google Scholar] [CrossRef] [PubMed]
  26. Schwede, A.; Macleod, O.J.S.; MacGregor, P.; Carrington, M. How Does the VSG Coat of Bloodstream Form African Trypanosomes Interact with External Proteins? PLoS Pathog. 2015, 11, e1005259. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Mugnier, M.R.; Cross, G.A.; Papavasiliou, N. The in vivo dynamics of antigenic variation in Trypanosoma brucei. Science 2015, 347, 1470–1473. [Google Scholar] [CrossRef] [Green Version]
  28. McCulloch, R.; Cobbold, C.A.; Figueiredo, L.; Jackson, A.; Morrison, L.J.; Mugnier, M.R.; Papavasiliou, N.; Schnaufer, A.; Matthews, K. Emerging challenges in understanding trypanosome antigenic variation. Emerg. Top. Life Sci. 2017, 1, 585–592. [Google Scholar] [CrossRef] [Green Version]
  29. Pinger, J.; Nešić, D.; Ali, L.; Aresta-Branco, F.; Lilic, M.; Chowdhury, S.; Kim, H.-S.; Verdi, J.; Raper, J.; Ferguson, M.A.J.; et al. African trypanosomes evade immune clearance by O-glycosylation of the VSG surface coat. Nat. Microbiol. 2018, 3, 932–938. [Google Scholar] [CrossRef]
  30. Engstler, M.; Pfohl, T.; Herminghaus, S.; Boshart, M.; Wiegertjes, G.; Heddergott, N.; Overath, P. Hydrodynamic Flow-Mediated Protein Sorting on the Cell Surface of Trypanosomes. Cell 2007, 131, 505–515. [Google Scholar] [CrossRef] [Green Version]
  31. Dean, S.D.; Matthews, K.R. Restless Gossamers: Antibody Clearance by Hydrodynamic Flow Forces Generated at the Surface of Motile Trypanosome Parasites. Cell Host Microbe 2007, 2, 279–281. [Google Scholar] [CrossRef] [Green Version]
  32. Devine, D.V.; Falk, R.J.; Balber, A.E. Restriction of the alternative pathway of human complement by intact Trypanosoma brucei subsp. gambiense. Infect. Immun. 1986, 52, 223–229. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Pinger, J.; Chowdhury, S.; Papavasiliou, F.N. Variant surface glycoprotein density defines an immune evasion threshold for African trypanosomes undergoing antigenic variation. Nat. Commun. 2017, 8, 1–9. [Google Scholar] [CrossRef] [PubMed]
  34. Pan, W.; Ogunremi, O.; Wei, G.; Shi, M.; Tabel, H. CR3 (CD11b/CD18) is the major macrophage receptor for IgM antibody-mediated phagocytosis of African trypanosomes: Diverse effect on subsequent synthesis of tumor necrosis factor α and nitric oxide. Microbes Infect. 2006, 8, 1209–1218. [Google Scholar] [CrossRef]
  35. Liu, G.; Fu, Y.; Yosri, M.; Chen, Y.; Sun, P.; Xu, J.; Zhang, M.; Sun, D.; Strickland, A.B.; Mackey, Z.B.; et al. CRIg plays an essential role in intravascular clearance of bloodborne parasites by interacting with complement. Proc. Natl. Acad. Sci. USA 2019, 116, 24214–24220. [Google Scholar] [CrossRef]
  36. Dagenais, T.R.; Demick, K.P.; Bangs, J.D.; Forest, K.T.; Paulnock, D.M.; Mansfield, J.M. T-Cell Responses to the Trypanosome Variant Surface Glycoprotein Are Not Limited to Hypervariable Subregions. Infect. Immun. 2009, 77, 141–151. [Google Scholar] [CrossRef] [Green Version]
  37. Frenkel, D.; Zhang, F.; Guirnalda, P.; Haynes, C.; Bockstal, V.; Radwanska, M.; Magez, S.; Black, S.J. Trypanosoma brucei Co-opts NK Cells to Kill Splenic B2 B Cells. PLoS Pathog. 2016, 12, e1005733. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  38. Bockstal, V.; Guirnalda, P.; Caljon, G.; Goenka, R.; Telfer, J.C.; Frenkel, D.; Radwanska, M.; Magez, S.; Black, S.J. T. brucei Infection Reduces B Lymphopoiesis in Bone Marrow and Truncates Compensatory Splenic Lymphopoiesis through Transitional B-Cell Apoptosis. PLoS Pathog. 2011, 7, e1002089. [Google Scholar] [CrossRef] [Green Version]
  39. Obishakin, E.; Trez, C.; Magez, S. Chronic Trypanosoma congolense infections in mice cause a sustained disruption of the B-cell homeostasis in the bone marrow and spleen. Parasite Immunol. 2014, 36, 187–198. [Google Scholar] [CrossRef] [PubMed]
  40. Blom-Potar, M.C.; Chamond, N.; Cosson, A.; Jouvion, G.; Droin-Bergère, S.; Huerre, M.; Minoprio, P. Trypanosoma vivax Infections: Pushing Ahead with Mouse Models for the Study of Nagana. II. Immunobiological Dysfunctions. PLoS Neglect. Trop. Dis. 2010, 4, e793. [Google Scholar] [CrossRef] [Green Version]
  41. Radwanska, M.; Guirnalda, P.; Trez, C.D.; Ryffel, B.; Black, S.; Magez, S. Trypanosomiasis-induced B cell apoptosis results in loss of protective anti-parasite antibody responses and abolishment of vaccine-induced memory responses. PLoS Pathog. 2008, 4, e1000078. [Google Scholar] [CrossRef] [Green Version]
  42. Magez, S.; Schwegmann, A.; Atkinson, R.; Claes, F.; Drennan, M.; Baetselier, P.D.; Brombacher, F. The Role of B-cells and IgM Antibodies in Parasitemia, Anemia, and VSG Switching in Trypanosoma brucei–Infected Mice. PLoS Pathog. 2008, 4, e1000122. [Google Scholar] [CrossRef] [Green Version]
  43. McNae, I.W.; Kinkead, J.; Malik, D.; Yen, L.-H.; Walker, M.K.; Swain, C.; Webster, S.P.; Gray, N.; Fernandes, P.M.; Myburgh, E.; et al. Fast acting allosteric phosphofructokinase inhibitors block trypanosome glycolysis and cure acute African trypanosomiasis in mice. Nat. Commun. 2021, 12, 1–10. [Google Scholar] [CrossRef]
  44. Opperdoes, F.R.; Borst, P. Localization of nine glycolytic enzymes in a microbody-like organelle in Trypanosoma brucei: The glycosome. Febs Lett. 1977, 80, 360–364. [Google Scholar] [CrossRef] [Green Version]
  45. Visser, N.; Opperdoes, F.R. Glycolysis in Trypanosoma brucei. Eur. J. Biochem. 1980, 103, 623–632. [Google Scholar] [CrossRef]
  46. Szöör, B.; Haanstra, J.R.; Gualdrón-López, M.; Michels, P.A. Evolution, dynamics and specialized functions of glycosomes in metabolism and development of trypanosomatids. Curr. Opin. Microbiol. 2014, 22, 79–87. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Haanstra, J.R.; González-Marcano, E.B.; Gualdrón-López, M.; Michels, P.A. Biogenesis, maintenance and dynamics of glycosomes in trypanosomatid parasites. Biochim. Biophys. Acta 2016, 1863, 1038–1048. [Google Scholar] [CrossRef] [PubMed]
  48. Richardson, J.B.; Lee, K.-Y.; Mireji, P.; Enyaru, J.; Sistrom, M.; Aksoy, S.; Zhao, H.; Caccone, A. Genomic analyses of African Trypanozoon strains to assess evolutionary relationships and identify markers for strain identification. PLoS Neglect. Trop. Dis. 2017, 11, e0005949. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  49. Moreno, S.A.; Nava, M. Trypanosoma evansi is alike to Trypanosoma brucei brucei in the subcellular localisation of glycolytic enzymes. Memórias Inst. Oswaldo Cruz 2015, 110, 468–475. [Google Scholar] [CrossRef] [Green Version]
  50. Rivero, L.A.; Concepción, J.L.; Quintero-Troconis, E.; Quiñones, W.; Michels, P.A.M.; Acosta, H. Trypanosoma evansi contains two auxiliary enzymes of glycolytic metabolism: Phosphoenolpyruvate carboxykinase and pyruvate phosphate dikinase. Exp. Parasitol. 2016, 165, 7–15. [Google Scholar] [CrossRef]
  51. Hannaert, V.; Albert, M.-A.; Rigden, D.J.; Giotto, M.T.D.S.; Thiemann, O.; Garratt, R.C.; Roy, J.V.; Opperdoes, F.R.; Michels, P.A. Kinetic characterization, structure modelling studies and crystallization of Trypanosoma brucei enolase. Eur. J. Biochem. 2003, 270, 3205–3213. [Google Scholar] [CrossRef]
  52. Giotto, M.T.D.S.; Hannaert, V.; Vertommen, D.; Navarro, M.V.D.A.S.; Rider, M.H.; Michels, P.A.; Garratt, R.C.; Rigden, D.J. The Crystal Structure of Trypanosoma brucei Enolase: Visualisation of the Inhibitory Metal Binding Site III and Potential as Target for Selective, Irreversible Inhibition. J. Mol. Biol. 2003, 331, 653–665. [Google Scholar] [CrossRef]
  53. Navarro, M.V.D.A.S.; Dias, S.M.G.; Mello, L.V.; Giotto, M.T.D.S.; Gavalda, S.; Blonski, C.; Garratt, R.C.; Rigden, D.J. Structural flexibility in Trypanosoma brucei enolase revealed by X-ray crystallography and molecular dynamics. FEBS J. 2007, 274, 5077–5089. [Google Scholar] [CrossRef] [PubMed]
  54. Grébaut, P.; Chuchana, P.; Brizard, J.-P.; Demettre, E.; Seveno, M.; Bossard, G.; Jouin, P.; Vincendeau, P.; Bengaly, Z.; Boulangé, A.; et al. Identification of total and differentially expressed excreted–secreted proteins from Trypanosoma congolense strains exhibiting different virulence and pathogenicity. Int. J. Parasitol. 2009, 39, 1137–1150. [Google Scholar] [CrossRef] [PubMed]
  55. Geiger, A.; Hirtz, C.; Bécue, T.; Bellard, E.; Centeno, D.; Gargani, D.; Rossignol, M.; Cuny, G.; Peltier, J.-B. Exocytosis and protein secretion in Trypanosoma. BMC Microbiol. 2010, 10, 1–17. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Nten, C.M.A.; Sommerer, N.; Rofidal, V.; Hirtz, C.; Rossignol, M.; Cuny, G.; Peltier, J.-B.; Geiger, A. Excreted/Secreted Proteins from Trypanosome Procyclic Strains. J. Biomed. Biotechnol. 2010, 2010, 212817. [Google Scholar] [CrossRef] [Green Version]
  57. Szempruch, A.J.; Sykes, S.E.; Kieft, R.; Dennison, L.; Becker, A.C.; Gartrell, A.; Martin, W.J.; Nakayasu, E.S.; Almeida, I.C.; Hajduk, S.L.; et al. Extracellular Vesicles from Trypanosoma brucei Mediate Virulence Factor Transfer and Cause Host Anemia. Cell 2016, 164, 246–257. [Google Scholar] [CrossRef] [Green Version]
  58. Li, Z.; Torres, J.E.P.; Goossens, J.; Vertommen, D.; Caljon, G.; Sterckx, Y.G.J.; Magez, S. An Unbiased Immunization Strategy Results in the Identification of Enolase as a Potential Marker for Nanobody-Based Detection of Trypanosoma evansi. Vaccines 2020, 8, 415. [Google Scholar] [CrossRef]
  59. Avilán, L.; Gualdrón-López, M.; Quiñones, W.; González-González, L.; Hannaert, V.; Michels, P.A.; Concepción, J.L. Enolase: A key player in the metabolism and a probable virulence factor of trypanosomatid parasites-perspectives for its use as a therapeutic target. Enzyme Res. 2011, 2011, 932549. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  60. Quiñones, W.; Peña, P.; Domingo-Sananes, M.; Cáceres, A.; Michels, P.A.M.; Avilan, L.; Concepción, J.L. Leishmania mexicana: Molecular cloning and characterization of enolase. Exp. Parasitol. 2007, 116, 241–251. [Google Scholar] [CrossRef] [PubMed]
  61. Vanegas, G.; Quiñones, W.; Carrasco-López, C.; Concepción, J.L.; Albericio, F.; Avilán, L. Enolase as a plasminogen binding protein in Leishmania mexicana. Parasitol. Res. 2007, 101, 1511–1516. [Google Scholar] [CrossRef] [PubMed]
  62. Alsford, S.; Eckert, S.; Baker, N.; Glover, L.; Sanchez-Flores, A.; Leung, K.F.; Turner, D.J.; Field, M.C.; Berriman, M.; Horn, D. High-throughput decoding of antitrypanosomal drug efficacy and resistance. Nature 2012, 482, 232–236. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Wiedemar, N.; Zwyer, M.; Zoltner, M.; Cal, M.; Field, M.C.; Mäser, P. Expression of a specific variant surface glycoprotein has a major impact on suramin sensitivity and endocytosis in Trypanosoma brucei. Faseb Bioadv. 2019, 1, 595–608. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Zoltner, M.; Campagnaro, G.D.; Taleva, G.; Burrell, A.; Cerone, M.; Leung, K.F.; Achcar, F.; Horn, D.; Vaughan, S.; Gadelha, C.; et al. Suramin exposure alters cellular metabolism and mitochondrial energy production in African trypanosomes. J. Biol. Chem. 2020, 295, 8331–8347. [Google Scholar] [CrossRef]
  65. Ziegelbauer, K.; Overath, P. Organization of two invariant surface glycoproteins in the surface coat of Trypanosoma brucei. Infect. Immun. 1993, 61, 4540–4545. [Google Scholar] [CrossRef] [Green Version]
  66. Ziegelbauer, K.; Overath, P. Identification of invariant surface glycoproteins in the bloodstream stage of Trypanosoma brucei. J. Biol. Chem. 1992, 267, 10791–10796. [Google Scholar] [CrossRef]
  67. Ziegelbauer, K.; Multhaup, G.; Overath, P. Molecular characterization of two invariant surface glycoproteins specific for the bloodstream stage of Trypanosoma brucei. J. Biol. Chem. 1992, 267, 10797–10803. [Google Scholar] [CrossRef]
  68. Radwanska, M.; Magez, S.; Michel, A.; Stijlemans, B.; Geuskens, M.; Pays, E. Comparative Analysis of Antibody Responses against HSP60, Invariant Surface Glycoprotein 70, and Variant Surface Glycoprotein Reveals a Complex Antigen-Specific Pattern of Immunoglobulin Isotype Switching during Infection by Trypanosoma brucei. Infect. Immun. 2000, 68, 848–860. [Google Scholar] [CrossRef] [Green Version]
  69. Sullivan, L.; Wall, S.J.; Carrington, M.; Ferguson, M.A.J. Proteomic Selection of Immunodiagnostic Antigens for Human African Trypanosomiasis and Generation of a Prototype Lateral Flow Immunodiagnostic Device. PLoS Neglect. Trop. Dis. 2013, 7, e2087. [Google Scholar] [CrossRef] [PubMed]
  70. Biéler, S.; Waltenberger, H.; Barrett, M.P.; McCulloch, R.; Mottram, J.C.; Carrington, M.; Schwaeble, W.; McKerrow, J.; Phillips, M.A.; Michels, P.A.; et al. Evaluation of Antigens for Development of a Serological Test for Human African Trypanosomiasis. PLoS ONE 2016, 11, e0168074. [Google Scholar] [CrossRef] [Green Version]
  71. Rudramurthy, G.R.; Sengupta, P.P.; Metilda, B.; Balamurugan, V.; Prabhudas, K.; Rahman, H. Development of an enzyme immunoassay using recombinant invariant surface glycoprotein (rISG) 75 for serodiagnosis of bovine trypanosomosis. Indian J. Exp. Biol. 2015, 53, 7–15. [Google Scholar]
  72. Rudramurthy, G.R.; Sengupta, P.P.; Ligi, M.; Rahman, H. An inhibition enzyme immuno assay exploring recombinant invariant surface glycoprotein and monoclonal antibodies for surveillance of surra in animals. Biologicals 2017, 46, 148–152. [Google Scholar] [CrossRef] [PubMed]
  73. Koumandou, V.L.; Boehm, C.; Horder, K.A.; Field, M.C. Evidence for Recycling of Invariant Surface Transmembrane Domain Proteins in African Trypanosomes. Eukaryot. Cell 2013, 12, 330–342. [Google Scholar] [CrossRef] [Green Version]
  74. Leung, K.F.; Riley, F.S.; Carrington, M.; Field, M.C. Ubiquitylation and Developmental Regulation of Invariant Surface Protein Expression in Trypanosomes. Eukaryot. Cell 2011, 10, 916–931. [Google Scholar] [CrossRef] [Green Version]
  75. Radwanska, M.; Magez, S.; Dumont, N.; Pays, A.; Nolan, D.; Pays, E. Antibodies raised against the flagellar pocket fraction of Trypanosoma brucei preferentially recognize HSP60 in cDNA expression library. Parasite Immunol. 2000, 22, 639–650. [Google Scholar] [CrossRef]
  76. Aricescu, A.R.; Lu, W.; Jones, E.Y. A time- and cost-efficient system for high-level protein production in mammalian cells. Acta Crystallogr. Sect. D Biol. Crystallogr. 2006, 62, 1243–1250. [Google Scholar] [CrossRef] [Green Version]
  77. Whitmore, L.; Wallace, B.A. Protein secondary structure analyses from circular dichroism spectroscopy: Methods and reference databases. Biopolymers 2008, 89, 392–400. [Google Scholar] [CrossRef]
  78. Manalastas-Cantos, K.; Konarev, P.V.; Hajizadeh, N.R.; Kikhney, A.G.; Petoukhov, M.V.; Molodenskiy, D.S.; Panjkovich, A.; Mertens, H.D.T.; Gruzinov, A.; Borges, C.; et al. ATSAS 3.0: Expanded functionality and new tools for small-angle scattering data analysis. J. Appl. Crystallogr. 2021, 54, 343–355. [Google Scholar] [CrossRef] [PubMed]
  79. Svergun, D.I. Determination of the regularization parameter in indirect-transform methods using perceptual criteria. J. Appl. Crystallogr. 1992, 25, 495–503. [Google Scholar] [CrossRef]
  80. Hajizadeh, N.R.; Franke, D.; Jeffries, C.M.; Svergun, D.I. Consensus Bayesian assessment of protein molecular mass from solution X-ray scattering data. Sci. Rep. 2018, 8, 1–13. [Google Scholar] [CrossRef]
  81. Franke, D.; Svergun, D.I. DAMMIF, a program for rapid ab-initio shape determination in small-angle scattering. J. Appl. Cryst. 2009, 42, 342–346. [Google Scholar] [CrossRef] [Green Version]
  82. Pettersen, E.F.; Goddard, T.D.; Huang, C.C.; Couch, G.S.; Greenblatt, D.M.; Meng, E.C.; Ferrin, T.E. UCSF Chimera—A visualization system for exploratory research and analysis. J. Comput. Chem. 2004, 25, 1605–1612. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  83. Pettersen, E.F.; Goddard, T.D.; Huang, C.C.; Meng, E.C.; Couch, G.S.; Croll, T.I.; Morris, J.H.; Ferrin, T.E. UCSF ChimeraX: Structure visualization for researchers, educators, and developers. Protein Sci. 2020, 30, 70–82. [Google Scholar] [CrossRef]
  84. Deleeuw, V.; Phạm, H.T.T.; Poorter, I.D.; Janssens, I.; Trez, C.D.; Radwanska, M.; Magez, S. Trypanosoma brucei brucei causes a rapid and persistent influx of neutrophils in the spleen of infected mice. Parasite Immunol. 2019, 41, e12664. [Google Scholar] [CrossRef] [Green Version]
  85. Higgins, M.K.; Carrington, M. Sequence variation and structural conservation allows development of novel function and immune evasion in parasite surface protein families. Protein Sci. 2014, 23, 354–365. [Google Scholar] [CrossRef]
  86. Blum, M.; Down, J.; Gurnett, A.; Carrington, M.; Turner, M.; Wiley, D. A structural motif in the variant surface glycoproteins of Trypanosoma brucei. Nature 1993, 362, 603–609. [Google Scholar] [CrossRef]
  87. Trevor, C.E.; Gonzalez-Munoz, A.L.; Macleod, O.J.S.; Woodcock, P.G.; Rust, S.; Vaughan, T.J.; Garman, E.F.; Minter, R.; Carrington, M.; Higgins, M.K. Structure of the trypanosome transferrin receptor reveals mechanisms of ligand recognition and immune evasion. Nat. Microbiol. 2019, 4, 2074–2081. [Google Scholar] [CrossRef]
  88. Bartossek, T.; Jones, N.G.; Schäfer, C.S.; Cvitković, M.C.; Glogger, M.; Mott, H.R.; Kuper, J.; Brennich, M.; Carrington, M.; Smith, A.-S.; et al. Structural basis for the shielding function of the dynamic trypanosome variant surface glycoprotein coat. Nat. Microbiol. 2017, 2, 1523–1532. [Google Scholar] [CrossRef] [Green Version]
  89. Higgins, M.K.; Tkachenko, O.; Brown, A.; Reed, J.; Raper, J.; Carrington, M. Structure of the trypanosome haptoglobin-hemoglobin receptor and implications for nutrient uptake and innate immunity. Proc. Natl. Acad. Sci. USA 2013, 110, 1905–1910. [Google Scholar] [CrossRef] [Green Version]
  90. Iwasaki, A.; Omer, S.B. Why and How Vaccines Work. Cell 2020, 183, 290–295. [Google Scholar] [CrossRef]
  91. Pollard, A.J.; Bijker, E.M. A guide to vaccinology: From basic principles to new developments. Nat. Rev. Immunol. 2021, 21, 83–100. [Google Scholar] [CrossRef] [PubMed]
  92. Lewnard, J.A.; Lo, N.C.; Arinaminpathy, N.; Frost, I.; Laxminarayan, R. Childhood vaccines and antibiotic use in low- and middle-income countries. Nature 2020, 581, 94–99. [Google Scholar] [CrossRef] [PubMed]
  93. Wainwright, M. Dyes, trypanosomiasis and DNA: A historical and critical review. Biotech. Histochem. 2010, 85, 341–354. [Google Scholar] [CrossRef]
  94. Rouzer, C.A.; Cerami, A. Hypertriglyceridemia associated with Trypanosoma brucei brucei infection in rabbits: Role of defective triglyceride removal. Mol. Biochem. Parasit. 1980, 2, 31–38. [Google Scholar] [CrossRef]
  95. Beutler, B.; Cerami, A. Cachectin and tumour necrosis factor as two sides of the same biological coin. Nature 1986, 320, 584–588. [Google Scholar] [CrossRef]
  96. Cross, G.A.M. Antigenic variation in trypanosomes. Proc. Royal. Soc. Lond. Ser. B Biol. Sci. 1978, 202, 55–72. [Google Scholar] [CrossRef] [PubMed]
  97. Cross, G.A.M. Identification, purification and properties of clone-specific glycoprotein antigens constituting the surface coat of Trypanosoma brucei. Parasitology 1975, 71, 393–417. [Google Scholar] [CrossRef]
  98. Vickerman, K. Antigenic variation in trypanosomes. Nature 1978, 273, 613–617. [Google Scholar] [CrossRef]
  99. Cornelissen, A.W.C.A.; Bakkeren, G.A.M.; Barry, J.D.; Michels, P.A.M.; Borst, P. Characteristics of trypanosome variant antigen genes active in the tsetse fly. Nucleic Acids Res. 1985, 13, 4661–4676. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  100. Uzcanga, G.L.; Perrone, T.; Noda, J.A.; Pérez-Pazos, J.; Medina, R.; Hoebeke, J.; Bubis, J. Variant Surface Glycoprotein from Trypanosoma evansi Is Partially Responsible for the Cross-Reaction between Trypanosoma evansi and Trypanosoma vivax. Biochemistry 2004, 43, 595–606. [Google Scholar] [CrossRef] [PubMed]
  101. Magez, S.; Torres, J.E.P.; Obishakin, E.; Radwanska, M. Infections with Extracellular Trypanosomes Require Control by Efficient Innate Immune Mechanisms and Can Result in the Destruction of the Mammalian Humoral Immune System. Front. Immunol. 2020, 11, 382. [Google Scholar] [CrossRef] [Green Version]
  102. Radwanska, M.; Nguyen, H.T.T.; Moon, S.; Obishakin, E.; Magez, S. Trypanosomatids, Methods and Protocols. Methods Mol. Biol. 2020, 2116, 721–738. [Google Scholar] [CrossRef] [PubMed]
  103. Maharana, B.R.; Sudhakar, N.R.; Jawalagatti, V.; Saravanan, B.C.; Blake, D.P.; Tewari, A.K. Evaluation of the Immunoprotective Potential of Recombinant Paraflagellar Rod Proteins of Trypanosoma evansi in Mice. Vaccines 2020, 8, 84. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  104. Autheman, D.; Crosnier, C.; Clare, S.; Goulding, D.A.; Brandt, C.; Harcourt, K.; Tolley, C.; Galaway, F.; Khushu, M.; Ong, H.; et al. An invariant Trypanosoma vivax vaccine antigen induces protective immunity. Nature 2021, 595, 1–5. [Google Scholar] [CrossRef] [PubMed]
  105. Mkunza, F.; Olaho, W.M.; Powell, C.N. Partial protection against natural trypanosomiasis after vaccination with a flagellar pocket antigen from Trypanosoma brucei rhodesiense. Vaccine 1995, 13, 151–154. [Google Scholar] [CrossRef]
  106. Southon, H.A.W.; Cunningham, M.P. Infectivity of Trypanosomes derived from Individual Glossina morsitans Westw. Nature 1966, 212, 1477–1478. [Google Scholar] [CrossRef]
  107. Russo, D.C.; Grab, D.J.; Lonsdale-Eccles, J.D.; Shaw, M.K.; Williams, D.J. Directional movement of variable surface glycoprotein-antibody complexes in Trypanosoma brucei. Eur. J. Cell Biol. 1993, 62, 432–441. [Google Scholar]
  108. Dickie, E.A.; Giordani, F.; Gould, M.K.; Mäser, P.; Burri, C.; Mottram, J.C.; Rao, S.P.S.; Barrett, M.P. New Drugs for Human African Trypanosomiasis: A Twenty First Century Success Story. Trop. Med. Infect. Dis. 2020, 5, 29. [Google Scholar] [CrossRef] [Green Version]
  109. Guedes, R.L.M.; Rodrigues, C.M.F.; Coatnoan, N.; Cosson, A.; Cadioli, F.A.; Garcia, H.A.; Gerber, A.L.; Machado, R.Z.; Minoprio, P.M.C.; Teixeira, M.M.G.; et al. A comparative in silico linear B-cell epitope prediction and characterization for South American and African Trypanosoma vivax strains. Genomics 2019, 111, 407–417. [Google Scholar] [CrossRef]
  110. Liu, T.; Shi, K.; Li, W. Deep learning methods improve linear B-cell epitope prediction. Biodata Min. 2020, 13, 1–3. [Google Scholar] [CrossRef]
Figure 1. Recombinant TbENO and TbgISG75 are properly folded immunogens. (A) Schematic representation of the flowchart for recombinant protein production and purification. Typical gel filtration profiles are shown for both proteins (performed on S200 16/60 and S200 10/30 columns for TbENO and TbgISG75, respectively). The inset represents an SDS-PAGE analysis of the fractions collected for the elution peak (indicated by ‘*’). Lane M, molecular weight marker. (B) CD spectra of TbENO collected at different temperatures. The gray arrow represents the effect of the increasing temperature on the mean residue ellipticity measured at 222 nm, plotted in the inset (filled circles and dashed line represent the experimental data points and fit, respectively). Below 50 °C, spectra show features that are typical for proteins containing α-helices and β-sheets. The secondary structure content calculated based on the experimental data is also shown for convenience. (C) ITC measurements at 25 °C for the binding of sdAb11 and sdAb77 to TbENO. The top panels represent the thermograms in which the black lines depict the raw data. The bottom panels show the isotherms. The black dots display the experimental data points, and the red traces show the fit. The experimentally determined thermodynamic parameters related to the binding events are shown. (D) CD spectra of TbgISG75 collected at different temperatures. The gray arrow represents the effect of the increasing temperature on the mean residue ellipticity measured at 222 nm, plotted in the inset (filled circles and dashed line represent the experimental data points and fit, respectively). Below 40 °C, spectra show minima at 208 and 222 nm that are characteristic for α-helical proteins. The secondary structure content calculated based on the experimental data is also shown for convenience. (E) TbgISG75 SAXS data and analysis. The first panel represents the TbgISG75 scattering curve (experimental data in black, experimental error in gray). The inset shows the pair distribution function, in which the maximum dimension (Dmax) is the largest non-negative value that supports a smooth distribution function, an ab initio bead model of TbgISG75, and the SAXS-derived structural parameters (aradius of gyration calculated using Guinier approximation, bradius of gyration calculated using indirect Fourier transformation, cPorod volume calculated using Guinier approximation, dMolecular mass estimation, which corresponds well to the eexpected molecular mass of 49.6 kDa according to the amino acid sequence without the predicted glycosylation site). The second panel shows a normalized Kratky plot, which suggests that the particle is folded and contains flexible linkers. For comparison, an intrinsically disordered standard (Tau protein) and a globular standard (bovine serum albumin) are also shown.
Figure 1. Recombinant TbENO and TbgISG75 are properly folded immunogens. (A) Schematic representation of the flowchart for recombinant protein production and purification. Typical gel filtration profiles are shown for both proteins (performed on S200 16/60 and S200 10/30 columns for TbENO and TbgISG75, respectively). The inset represents an SDS-PAGE analysis of the fractions collected for the elution peak (indicated by ‘*’). Lane M, molecular weight marker. (B) CD spectra of TbENO collected at different temperatures. The gray arrow represents the effect of the increasing temperature on the mean residue ellipticity measured at 222 nm, plotted in the inset (filled circles and dashed line represent the experimental data points and fit, respectively). Below 50 °C, spectra show features that are typical for proteins containing α-helices and β-sheets. The secondary structure content calculated based on the experimental data is also shown for convenience. (C) ITC measurements at 25 °C for the binding of sdAb11 and sdAb77 to TbENO. The top panels represent the thermograms in which the black lines depict the raw data. The bottom panels show the isotherms. The black dots display the experimental data points, and the red traces show the fit. The experimentally determined thermodynamic parameters related to the binding events are shown. (D) CD spectra of TbgISG75 collected at different temperatures. The gray arrow represents the effect of the increasing temperature on the mean residue ellipticity measured at 222 nm, plotted in the inset (filled circles and dashed line represent the experimental data points and fit, respectively). Below 40 °C, spectra show minima at 208 and 222 nm that are characteristic for α-helical proteins. The secondary structure content calculated based on the experimental data is also shown for convenience. (E) TbgISG75 SAXS data and analysis. The first panel represents the TbgISG75 scattering curve (experimental data in black, experimental error in gray). The inset shows the pair distribution function, in which the maximum dimension (Dmax) is the largest non-negative value that supports a smooth distribution function, an ab initio bead model of TbgISG75, and the SAXS-derived structural parameters (aradius of gyration calculated using Guinier approximation, bradius of gyration calculated using indirect Fourier transformation, cPorod volume calculated using Guinier approximation, dMolecular mass estimation, which corresponds well to the eexpected molecular mass of 49.6 kDa according to the amino acid sequence without the predicted glycosylation site). The second panel shows a normalized Kratky plot, which suggests that the particle is folded and contains flexible linkers. For comparison, an intrinsically disordered standard (Tau protein) and a globular standard (bovine serum albumin) are also shown.
Pathogens 10 01050 g001
Figure 2. TbENO vaccinations induce high titers of circulating IgG1, IgG2b, IgG2c and IgG3 antibody titers. (A) Schematic overview of the employed vaccination schema. Plasma samples were collected 3 weeks after the third vaccine boost, and (B) specific anti-TbENO antibody titers were measured using antigen coated ELISA plates and 1/3 serial dilutions of plasma samples, starting at a concentration of 1/200 (closed circles: vaccinated, open circles: non-vaccinated, open triangles: mock vaccinated). Values are represented as the mean ± SD of four individual mice per timepoint. Endpoint titers were determined as the last dilution with an ELISA OD significantly higher than the background values (red box). Endpoint titers (EPT) that are visualized on the dilution curve plots of the samples obtained 3 weeks after the third boost are also represented in the bar-graph plot (bottom panel left). The same calculation method was used to determine endpoint titers 12 weeks after the third boost, just prior to the parasite challenge (bottom panel middle), and at 14 dpi, in both a T. brucei and T. evansi challenge setting (bottom panel right).
Figure 2. TbENO vaccinations induce high titers of circulating IgG1, IgG2b, IgG2c and IgG3 antibody titers. (A) Schematic overview of the employed vaccination schema. Plasma samples were collected 3 weeks after the third vaccine boost, and (B) specific anti-TbENO antibody titers were measured using antigen coated ELISA plates and 1/3 serial dilutions of plasma samples, starting at a concentration of 1/200 (closed circles: vaccinated, open circles: non-vaccinated, open triangles: mock vaccinated). Values are represented as the mean ± SD of four individual mice per timepoint. Endpoint titers were determined as the last dilution with an ELISA OD significantly higher than the background values (red box). Endpoint titers (EPT) that are visualized on the dilution curve plots of the samples obtained 3 weeks after the third boost are also represented in the bar-graph plot (bottom panel left). The same calculation method was used to determine endpoint titers 12 weeks after the third boost, just prior to the parasite challenge (bottom panel middle), and at 14 dpi, in both a T. brucei and T. evansi challenge setting (bottom panel right).
Pathogens 10 01050 g002
Figure 3. TbgISG75-vaccination induces high titers of circulating IgG1, IgG2b, IgG2c and IgG3 antibody titers. Plasma samples were collected 3 weeks after the third vaccine boost, and specific anti-TbgISG75 antibody titers were measured. Values are represented as the mean ± SD of four individual mice per timepoint (closed circles: vaccinated, open circles: non-vaccinated, open triangles: mock vaccinated). Endpoint titers (EPT) were determined as the last dilution with an ELISA OD significantly higher than the background values (red box). Endpoint titers are also represented in the bar-graph plot for the time points 3 weeks after the third boost (bottom panel left), 12 weeks after the third boost, just prior to the parasite challenge (bottom panel middle), and at 14 dpi in both a T. brucei and T. evansi infection setting (bottom panels right).
Figure 3. TbgISG75-vaccination induces high titers of circulating IgG1, IgG2b, IgG2c and IgG3 antibody titers. Plasma samples were collected 3 weeks after the third vaccine boost, and specific anti-TbgISG75 antibody titers were measured. Values are represented as the mean ± SD of four individual mice per timepoint (closed circles: vaccinated, open circles: non-vaccinated, open triangles: mock vaccinated). Endpoint titers (EPT) were determined as the last dilution with an ELISA OD significantly higher than the background values (red box). Endpoint titers are also represented in the bar-graph plot for the time points 3 weeks after the third boost (bottom panel left), 12 weeks after the third boost, just prior to the parasite challenge (bottom panel middle), and at 14 dpi in both a T. brucei and T. evansi infection setting (bottom panels right).
Pathogens 10 01050 g003
Figure 4. TbENO and TbgISG75 vaccination do not affect experimental trypanosomosis. Vaccinated and control mice were infected with trypanosomes through i.p. administration of 5000 T. b. brucei Anat1.1 parasites (A) or 200 T. evansi ‘Colombia’ parasites (B). Parasitemia was monitored at 2-day intervals and presented as mean ± SD of 10 mice and survival was monitored for all experimental groups, showing an overall lack of impact of either vaccination strategy.
Figure 4. TbENO and TbgISG75 vaccination do not affect experimental trypanosomosis. Vaccinated and control mice were infected with trypanosomes through i.p. administration of 5000 T. b. brucei Anat1.1 parasites (A) or 200 T. evansi ‘Colombia’ parasites (B). Parasitemia was monitored at 2-day intervals and presented as mean ± SD of 10 mice and survival was monitored for all experimental groups, showing an overall lack of impact of either vaccination strategy.
Pathogens 10 01050 g004
Figure 5. Flow cytometry analysis shows that neither TbENO nor TbgISG75 vaccination can prevent trypanosomosis-associated immunopathology. Spleens of naïve and vaccinated mice, as well as 14 dpi infected and vaccinated infected mice were analyzed using a set of B-cell markers as well as markers for monocytes and granulocytes. While the B220+CD1+CD93-CD138-MZB populations have been virtually obliterated at 14 dpi, the B220+CD1d-CD93-CD138-FoB population shows a marked size reduction upon infection, in both the non-vaccinated and the TbENO and TbgISG75 vaccinated groups (left panels). In contrast, B220+CD138+ PCs significantly increased in population size, both in vaccinated and non-vaccinated infected mice (middle-left panels). The same infection-induced increase in cell populations was found for the CD11b+Ly6CHigh monocytes (Mono, middle-right panels) and Ly6C+Ly6GHigh granulocytes (Gra, right panels).
Figure 5. Flow cytometry analysis shows that neither TbENO nor TbgISG75 vaccination can prevent trypanosomosis-associated immunopathology. Spleens of naïve and vaccinated mice, as well as 14 dpi infected and vaccinated infected mice were analyzed using a set of B-cell markers as well as markers for monocytes and granulocytes. While the B220+CD1+CD93-CD138-MZB populations have been virtually obliterated at 14 dpi, the B220+CD1d-CD93-CD138-FoB population shows a marked size reduction upon infection, in both the non-vaccinated and the TbENO and TbgISG75 vaccinated groups (left panels). In contrast, B220+CD138+ PCs significantly increased in population size, both in vaccinated and non-vaccinated infected mice (middle-left panels). The same infection-induced increase in cell populations was found for the CD11b+Ly6CHigh monocytes (Mono, middle-right panels) and Ly6C+Ly6GHigh granulocytes (Gra, right panels).
Pathogens 10 01050 g005
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Magez, S.; Li, Z.; Nguyen, H.T.T.; Pinto Torres, J.E.; Van Wielendaele, P.; Radwanska, M.; Began, J.; Zoll, S.; Sterckx, Y.G.-J. The History of Anti-Trypanosome Vaccine Development Shows That Highly Immunogenic and Exposed Pathogen-Derived Antigens Are Not Necessarily Good Target Candidates: Enolase and ISG75 as Examples. Pathogens 2021, 10, 1050. https://doi.org/10.3390/pathogens10081050

AMA Style

Magez S, Li Z, Nguyen HTT, Pinto Torres JE, Van Wielendaele P, Radwanska M, Began J, Zoll S, Sterckx YG-J. The History of Anti-Trypanosome Vaccine Development Shows That Highly Immunogenic and Exposed Pathogen-Derived Antigens Are Not Necessarily Good Target Candidates: Enolase and ISG75 as Examples. Pathogens. 2021; 10(8):1050. https://doi.org/10.3390/pathogens10081050

Chicago/Turabian Style

Magez, Stefan, Zeng Li, Hang Thi Thu Nguyen, Joar Esteban Pinto Torres, Pieter Van Wielendaele, Magdalena Radwanska, Jakub Began, Sebastian Zoll, and Yann G.-J. Sterckx. 2021. "The History of Anti-Trypanosome Vaccine Development Shows That Highly Immunogenic and Exposed Pathogen-Derived Antigens Are Not Necessarily Good Target Candidates: Enolase and ISG75 as Examples" Pathogens 10, no. 8: 1050. https://doi.org/10.3390/pathogens10081050

APA Style

Magez, S., Li, Z., Nguyen, H. T. T., Pinto Torres, J. E., Van Wielendaele, P., Radwanska, M., Began, J., Zoll, S., & Sterckx, Y. G. -J. (2021). The History of Anti-Trypanosome Vaccine Development Shows That Highly Immunogenic and Exposed Pathogen-Derived Antigens Are Not Necessarily Good Target Candidates: Enolase and ISG75 as Examples. Pathogens, 10(8), 1050. https://doi.org/10.3390/pathogens10081050

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop