Schistosoma mansoni vaccine candidates identified by unbiased phage display screening in self-cured rhesus macaques

Woellner-Santos, Daisy; Tahira, Ana C.; Malvezzi, João V. M.; Mesel, Vinicius; Morales-Vicente, David A.; Trentini, Monalisa M.; Marques-Neto, Lázaro M.; Matos, Isaac A.; Kanno, Alex I.; Pereira, Adriana S. A.; Teixeira, André A. R.; Giordano, Ricardo J.; Leite, Luciana C. C.; Pereira, Carlos A. B.; DeMarco, Ricardo; Amaral, Murilo S.; Verjovski-Almeida, Sergio

doi:10.1038/s41541-023-00803-x

Download PDF

Article
Open access
Published: 04 January 2024

Schistosoma mansoni vaccine candidates identified by unbiased phage display screening in self-cured rhesus macaques

Daisy Woellner-Santos ORCID: orcid.org/0009-0001-9758-1504^1,2,
Ana C. Tahira ORCID: orcid.org/0000-0002-7036-7305¹,
João V. M. Malvezzi ORCID: orcid.org/0000-0001-9345-6338^1,3,
Vinicius Mesel¹,
David A. Morales-Vicente^1,2,
Monalisa M. Trentini⁴,
Lázaro M. Marques-Neto⁴,
Isaac A. Matos²,
Alex I. Kanno⁴,
Adriana S. A. Pereira^1,2,
André A. R. Teixeira²^nAff6,
Ricardo J. Giordano ORCID: orcid.org/0000-0001-8116-6771²,
Luciana C. C. Leite⁴,
Carlos A. B. Pereira³,
Ricardo DeMarco⁵,
Murilo S. Amaral ORCID: orcid.org/0000-0003-4999-5099¹ &
…
Sergio Verjovski-Almeida ORCID: orcid.org/0000-0002-6356-2401^1,2

npj Vaccines volume 9, Article number: 5 (2024) Cite this article

1977 Accesses
1 Citations
83 Altmetric
Metrics details

Subjects

Abstract

Schistosomiasis, a challenging neglected tropical disease, affects millions of people worldwide. Developing a prophylactic vaccine against Schistosoma mansoni has been hindered by the parasite’s biological complexity. In this study, we utilized the innovative phage-display immunoprecipitation followed by a sequencing approach (PhIP-Seq) to screen the immune response of 10 infected rhesus macaques during self-cure and challenge-resistant phases, identifying vaccine candidates. Our high-throughput S. mansoni synthetic DNA phage-display library encoded 99.6% of 119,747 58-mer peptides, providing comprehensive coverage of the parasite’s proteome. Library screening with rhesus macaques’ antibodies, from the early phase of establishment of parasite infection, identified significantly enriched epitopes of parasite extracellular proteins known to be expressed in the digestive tract, shifting towards intracellular proteins during the late phase of parasite clearance. Immunization of mice with a selected pool of PhIP-Seq-enriched phage-displayed peptides from MEG proteins, cathepsins B, and asparaginyl endopeptidase significantly reduced worm burden in a vaccination assay. These findings enhance our understanding of parasite-host immune responses and provide promising prospects for developing an effective schistosomiasis vaccine.

Profiling the antibody response of humans protected by immunization with Plasmodium vivax radiation-attenuated sporozoites

Article Open access 02 February 2024

Broad specificity of immune helminth scFv library to identify monoclonal antibodies targeting Strongyloides

Article Open access 28 January 2021

Rhesus macaques self-curing from a schistosome infection can display complete immunity to challenge

Article Open access 26 October 2021

Introduction

Schistosomiasis is a neglected tropical disease that poses a significant public health threat worldwide, particularly in low- and middle-income countries¹. Despite four decades of control strategies, this disease afflicts over 600 million people in 78 countries with substantial morbidity and mortality^1,2. While chemotherapy with praziquantel is the primary treatment for schistosomiasis, there are concerns about drug resistance and the limited availability and accessibility of treatment in many affected areas³. Developing a vaccine would be a game-changer in mitigating the sorrow of millions of people and effectively eliminating and controlling schistosomiasis⁴.

Vaccine-promising strategies include radiation-attenuated cercariae and recombinant subunit vaccines^5,6,7. Although the complexity of orchestrating a protective immune response against this large multicellular organism, irradiated cercariae immunization opened a window for optimism, reaching high levels of partial protection in mice^5,8 and primates^9,10. Subunit vaccines have been used to test over one hundred potential antigens⁶, such as Sm-p80, Sm-TSP-2, and Sm14¹¹. While Sm-p80 conferred partial protection in mice and non-human primates^12,13,14, Sm-TSP-2 demonstrated efficacy in mice¹⁵ and has been shown to be safe in a Phase 1 trial¹⁶ and in a Phase 1b clinical trial in a region of Brazil with ongoing S. mansoni transmission, eliciting significant IgG responses against the vaccine antigen¹⁷. Protein Sm14 did protect vaccinated mice against S. mansoni¹⁸, and Sm14 vaccination in a Phase 1a trial of adult, male volunteers¹⁹ and in a Phase1b trial of adult females²⁰ from a non-endemic area for schistosomiasis showed tolerability and specific IgG immune responses. Despite promising preclinical results, most recombinant protein-based vaccines fail at different clinical stages to elicit a robust immune response or protection, as reviewed by Panzner et al. ¹¹; this was the case of S. haematobium Sh28GST/Alhydrogel (Bilharvax), which remains as the only vaccine candidate to complete clinical phase III trial, in which a sufficient efficacy was not reached²¹.

To address this challenge, we employed rhesus macaques (Macaca mulatta) as a non-permissive host for S. mansoni infection, a unique and valuable model for studying the immune response and development of vaccines against schistosomiasis^22,23,24. In a previous study, we found that rhesus macaques infected and challenged with S. mansoni (see Methods) did reduce the longevity of adult worms in primary infections and developed robust resistance to a challenge²³. These processes were attributed to the disruption of the parasite homeostasis and nutrient uptake through antibody-mediated mechanisms²³.

Furthering our understanding of the humoral response against specific targets that impair the parasite’s life cycle within the rhesus macaques blood vessels, we constructed a large-scale synthetic DNA phage-display library, encompassing 58-mer-long peptides, for the first time covering the sequences of all known S. mansoni proteins (Fig. 1). This ground-breaking approach addresses the challenges of unbiased screening of the vast Schistosoma proteome by combining phage-display technology with high-throughput DNA synthesis^25,26,27. This comprehensive peptide library was screened against plasma samples from rhesus macaques collected in a previous study from our group²³ during the self-cure and challenge-resistant phases. Screening the library against serum samples from infected hamsters (see Methods) was employed as a permissive control²³. Phages captured by antibodies in the plasma/serum from both infection models were immunoprecipitated (IP), PCR amplified, and deep-sequenced using the recently developed PhIP-Seq technique^25,26,27 (Fig. 1).

**Fig. 1: Phage Immunoprecipitation-Sequencing (PhIP-Seq) approach for screening of *S. mansoni* vaccine candidates.**

PhIP-Seq enriched sequences were selected based on macaques’ immune response over time and curated with information on the previously known parasite’s life-stage expression and the known localization at the host-parasite interface. The most promising candidates were tested with a pilot vaccination assay in mice (see Methods) using peptide phage-based immunization²⁸. Here, we used a peptide microarray to confirm the PhIP-Seq-identified vaccine candidates and to map and compare the epitopes recognized by rhesus macaques with the antibody responses from permissive controls. Our approach offers valuable insights that could lead to identifying new therapeutic strategies and developing a multi-antigen and effective vaccine against this debilitating disease.

Results

A synthetic phage-display library provides unbiased coverage of the S. mansoni proteome

We constructed a comprehensive phage-display library comprising 119,747 sequences encoding 112,396 distinct peptides. Redundant peptide sequences can be distinguished in the sequencing data by different codon usage resulting from separate codon optimization. Remarkably, by combining the oligos sequenced in the input samples with those identified in the immunoprecipitated samples from rhesus macaques’ plasma, hamsters’ serum, and negative controls, a total of 99.6% (119,218/119,747) of the peptides encoded in the synthetic oligonucleotide library were detected (Fig. 2a, b). Supplementary Table 1 (in Supplementary Information) shows the PhIP-seq counts obtained for each peptide at the 167 processed samples.

**Fig. 2: PhIP-Seq provides exceptional coverage of the *S. mansoni* proteome.**

Out of the total peptides encoded in the synthetic oligonucleotide library, only 0.4% (529 peptides) were not detected in any sequenced sample (Fig. 2b) (see Supplementary Information, Supplementary Table 1). Among these undetected peptides, seven proteins were missing (non-represented), accounting for 0.06% (7/11,641proteins) of the encoded proteome (Fig. 2b).

Bayesian statistical analysis determined significantly enriched S. mansoni peptides captured by rhesus macaques’ antibodies

The PhIP-Seq data were subjected to Bayesian statistical analyses (see Methods) to determine significantly enriched peptides captured by antibodies from 10 rhesus macaques at each sequenced time point: wk0 (before infection), wk8, wk10, and wk12 post-infection, as well as wk1 and wk4 post-challenge (Supplementary Information, Supplementary Table 2). Samples from 2 macaques determined to be outliers²³, namely Rh1 and Rh10 (see Methods), were excluded from these enrichment analyses. Enrichment results obtained with the Bayesian statistical analysis were compared with the two well-established PhIP-Seq statistical methods described in Supplementary Information. The comparisons revealed that the Bayesian analysis was more suitable for handling group comparison statistics in the present study. In contrast, the other statistical methods proved too restrictive in identifying enriched peptides captured by plasma samples from ten rhesus macaques at each time point.

The first PhIP-Seq samples analyzed were from rhesus macaques’ plasma collected at week 8 post-infection (wk8pi), the earliest time point at which eggs and circulating anodic antigens (CAA) reached a peak and before parasites started dying²³. Bayesian statistical analyses showed significant enrichment of 141 peptides (Fig. 3a). At week 10 post-infection (wk10pi), the time point when parasites started dying²³, a marked increase to 1672 enriched peptides was observed, the highest number in the series (Fig. 3a). Samples from wk12pi, at the beginning of the phase of parasite clearance²³, showed 1525 enriched peptides (Fig. 3a).

Fig. 3: Enriched phage-displayed peptides captured by antibodies from rhesus macaques self-cured from *S. mansoni* infection and resistant to challenge compared with hamsters’ permissive control response.

Rhesus macaques’ self-cure phase was followed up to wk42pi, at which point the macaques were challenged with 700 cercariae, the same number used at infection²³. PhIP-Seq samples incubated with plasma from rhesus macaques collected at week one and week four post-challenge (wk1pc and wk4pc) showed 1209 and 1172 enriched peptides (Fig. 3a). Among these, 37 sequences from MEG-4.1 (as detailed below) were consistently detected across all sequenced time points, demonstrating their presence throughout the self-cure and resistance to challenge phases (Fig. 3b). Interestingly, only two distinct enriched peptides from wk8pi, namely from a cathepsin B (SmCatB) paralog (Smp_158420.1|307) and from an asparaginyl endopeptidase (SmAE) (Smp_075800.1|766) showed overlap exclusively with the post-challenge weeks (Fig. 3b, white numbers).

Rhesus macaques’ antibodies from early phase infection recognized extracellular proteins highly expressed in early S. mansoni intra-mammalian life-stages

To gain insights into the subcellular location and life-cycle stage expression of proteins comprising the statistically enriched peptides, we annotated those proteins using available public data^29,30, which revealed that rhesus macaque’s antibodies from wk8pi recognized the largest numbers of motifs from extracellular proteins expressed in the larval somula stage and juvenile worms (Fig. 3c, red box). Notably, at this specific time point, peptides from extracellular proteins accounted for 70% of all enriched targets (Supplementary Information, Supplementary Fig. 4).

A remarkable shift in the immune response pattern was observed in samples incubated with plasma from wk10pi and wk12pi (Fig. 3c, black boxes). This transition was characterized by a decrease in the targeting of extracellular proteins, now accounting for only 10 and 20% of all enriched peptides from these time points (Supplementary Information, Supplementary Fig. 4). Concurrently, there was a notable redirection of the IgG response towards intracellular proteins, such as nuclear and cytoplasmic proteins expressed throughout various intra-mammalian life stages, with a particular emphasis on the juvenile form (Fig. 3c, black boxes), indicating a loss in the parasite’s cellular integrity. Interestingly, samples from the challenge-resistant phase showed a boost response against peptides from extracellular proteins (Fig. 3c, orange boxes), representing approximately 40% of all detected peptides at both wk1pc and wk4pc (Supplementary Information, Supplementary Fig. 4).

Interestingly, hamsters exhibited a robust response against a high number of peptides at the two infection time points studied, with 1745 enriched peptides at wk12pi and 1943 at wk22pi (Fig. 3d) and a significant overlap of 783 targets among the two (Fig. 3e). Notably, the cellular compartments of proteins recognized by the hamsters’ sera collected at wk12pi and wk22pi, namely nuclear and cytoplasmatic compartments (Fig. 3c, right, black boxes), were intriguingly similar to the compartments recognized by rhesus macaques’ antibodies collected at wk10pi and wk12pi (Fig. 3c, left, black boxes). However, the number of overall peptides detected in common between rhesus macaques’ and hamsters’ samples was minimal, accounting for only 10.1% (213/2112) of the targeted peptides in the rhesus macaque model and 7.4% (213/2895) in the hamster model (Fig. 3f). This observation raises the possibility that the hamster’s response, a permissive host, may be targeting antigens associated with spurious parasite death rather than being coordinated as in the self-cure response mounted by non-permissive rhesus macaques. Involvement of the humoral response mounted against extracellular proteins in the parasite death will be further explored below in both infection models and, additionally, in an infected mice model.

Comprehensive analysis of the detected S. mansoni enriched peptides from extracellular proteins

Here, we expanded our investigation to explore the diversity of extracellular proteins represented by the peptides captured by the total IgG antibody responses in the rhesus macaque model at the different assayed weeks. To accomplish this, we utilized available single-cell data³¹ to identify the organs where the genes encoding these various extracellular proteins are expressed.

Our analysis unveiled a notable primary immune response from rhesus macaques’ plasma collected at wk8pi, specifically targeting four different extracellular proteins expressed in the gut and three in the esophageal gland of S. mansoni (Fig. 4a). These organs, readily accessible to the host immune system, play a crucial role in the parasite nutrient uptake^32,33. The four gut proteins were three different SmCatB paralogs, each one represented by a different peptide (peptide IDs: Smp_067060.1|460, Smp_179950.1|307, and Smp_158420.1|307) (Fig. 4b), and one SmAE asparaginyl endopeptidase represented by two different peptides (peptide IDs: Smp_075800.1|613 and Smp_075800.1|766) (Fig. 4b), all of these peptides being predicted by homology modeling to reside at the exposed external surface of these proteins (Fig. 4c). Notably, SmAE peptide (ID: Smp_075800.1|766) is the single peptide from the gut detected at wk1pc (see Fig. 4a, and Supplementary Information, Supplementary Table 3) and also detected at wk4pc together with one SmCatB paralog (peptide ID: Smp_158420.1|307) (see Fig. 4a, and Supplementary Information, Supplementary Table 3).

**Fig. 4: Expression localization of *S. mansoni* extracellular proteins containing the peptides captured by antibodies from self-cured and challenge-resistant rhesus macaques.**

Compared with wk8pi, plasma collected at wk10pi and wk12pi showed a broader response, targeting six different esophageal gland proteins and displaying a robust immune response against proteins expressed throughout all the body cells (Fig. 4a). Interestingly, among these proteins expressed in all cells, plasma collected from wk10pi, wk12pi, as well as wk1pc, and wk4pc consistently captured motifs from seven extracellular proteins, of which three are predicted as located at the external surface of cell membranes, namely Protein sax-3, probable peptidylglycine alpha-hydroxylating monooxygenase one and AP-3 complex subunit beta-2 transport protein (Supplementary Information, Supplementary Table 3). Other proteins are a putative disintegrin and metalloproteinase (ADAM) secreted enzyme, a granulin protein, and two hypothetical membrane proteins (Supplementary Information, Supplementary Table 3). Additionally, a recently annotated transmembrane cell adhesion receptor mua-3 protein expressed in the tegument is one of the four proteins consistently recognized in the tegument by rhesus macaque’s response from wk10pi onwards (Fig. 4a, and Supplementary Information, Supplementary Table 3).

Although the response mounted against proteins widely expressed throughout the body cells and in the tegument may impair the parasite’s survival within the rhesus macaque host, it is noteworthy that antibodies from wk10pi and wk12pi also recognized proteins predicted to be expressed in cells from internal organs, such as muscle, parenchyma, vitellocytes, and neurons (Fig. 4a, and Supplementary Information, Supplementary Table 3). This recognition suggests a potential disruption in the overall body structure of the parasite, thus releasing internal proteins, which aligns with our findings on subcellular localization. Of note, hamsters’ PhIP-Seq samples’ overall results (combined results from wk12pi and wk22pi) showed that a few peptides from extracellular proteins were recognized in common with rhesus macaques’ response (Supplementary Information, Supplementary Table 3). Namely, one protein expressed in the gut was detected as enriched, SmCatB (peptide ID: Smp_067060.1|460), along with five proteins from the esophageal gland (as further described below), one from the parenchyma, and two from tegument (Supplementary Information, Supplementary Table 3).

Peptides from MEG proteins expressed in the esophageal gland of S. mansoni are enriched in the PhIP-Seq dataset

Enriched peptides from six different proteins expressed exclusively at the parasite’s esophageal gland (Fig. 4a) belonged to MEG families; MEGs are a large S. mansoni family of proteins encoded by genes comprised of several symmetrical micro-exons (3 to 36 bp long) distributed in tandem³⁴. We have included hundreds of different putative alternatively spliced MEG isoforms in the phage-display library, which were designed in silico, with the isoforms being annotated according to the family (Supplementary Information, Supplementary Table 4). For instance, for the MEG-4.1 family, the annotation of a phage-displayed peptide is MEG4.1901110|307, where the number following the name MEG4.1 is a code for a given isoform, and the number that follows the pipe symbol (|) indicates the start position of the oligonucleotide segment encoding that given peptide (Fig. 5a). Notably, we consistently detected many enriched peptides derived from MEGs across all tested weeks in rhesus macaques (Fig. 5b, and Supplementary Information, Supplementary Table 2). For each MEG gene, the set of enriched sequences consists of multiple peptides that share a similar or identical enriched motif, with splicing variations present in other regions of each different construct (see, for example, Fig. 5a, c).

**Fig. 5: Enrichment of multiple MEG peptides originated from putative in silico designed alternatively spliced MEG isoforms.**

At wk8pi, rhesus macaques’ plasma captured a few peptides from three distinct MEGs: MEG-4.1, MEG-8.1, and MEG-14 (Fig. 5b). Subsequently, starting from wk10pi onwards, the response expanded to include six different genes, namely MEG-3.1, MEG-4.1, MEG-4.2, MEG-8.1, MEG-14, and MEG-15, while excluding MEG-14 motifs at post-challenge weeks (Fig. 5b). Multiple alternatively spliced peptides were detected for each MEG gene in the sequenced samples. However, these peptides contained identical or highly similar reactive motifs (see, for example, Fig. 5c).

Interestingly, our analysis of enriched MEG-4.1 peptides across rhesus macaques’ sequenced samples revealed the presence of frequent canonical motifs (Fig. 5c). Notably, motif QINDGTSD was found in 87.70% (286/326) of the captured sequences. This motif is encoded within three copies at exons 10, 13, and 16 from Smp_307220.2 isoform (Fig. 5c).

Motif TSDTHTIKR was also notable, present in 70.60% (230/326) of the sequences (Fig. 5c). It is encoded within two copies at the exon junctions between exons 11 and 12 and between exons 14 and 15. Additionally, motif NKKDKHPT was identified in 66.90% (218/326) of the captured sequences and is encoded at exon 8 (Fig. 5c).

Therefore, variation in the number of captured peptides from a given MEG gene across different weeks (Fig. 5b) suggests a larger population of specific antibodies targeting multiple copies of the same antigen encoded in the phage-display library. A stronger response was observed at post-challenge weeks (wk1pc and wk4pc) when more peptides from MEG-4.1 and MEG-8.1 genes were captured compared to earlier time points (Fig. 5b, red boxes).

Notably, hamsters exhibited a comparatively lower response to these MEG genes, with only a limited number of sequences enriched from MEG-3.1, MEG-4.1, MEG-4.2, MEG-8.1, and MEG-15 (Fig. 5b). Comparison between MEG-4.1 reactive motifs between rhesus macaques and hamsters showed no overlap, as shown further below.

Validation of PhIP-Seq results with peptide microarrays

We designed and ordered a peptide microarray to map the reactive motifs within the PhIP-Seq enriched 58-aa peptides, which were recognized by antibodies against S. mansoni gut and esophageal gland proteins during self-cure and challenge-resistant phases. Each of the gut protein peptides (SmCatB Smp_158420.1|307, SmCatB Smp_179950.1|307, SmAE Smp_075800.1|613, and SmAE Smp_075800.1|766) and esophageal gland proteins (MEG-4.1, MEG-8.2, MEG-3.1, and MEG-15) were represented in the peptide microarray by a set of 15-mer peptides that covered with 2-amino acid offset the entire set of 58-amino acid sequences.

The peptide microarray was screened with rhesus macaques’ plasma samples from wk4pi, wk6pi, wk8pi, and wk10pi, as well as from wk42pi (challenge week), and wk1pc and wk4pc (Fig. 6a). The statistically significant signal intensities above the baseline response at wk0 (pre-infection) were computed using the pepStat analysis pipeline. The IgG median response intensities across all rhesus macaques each week are shown (Fig. 6a). We also compared the median intensity of the response obtained in the PhIP-Seq assay (wk8pi, wk10pi, wk1pc, and wk4 pc) (Fig. 6b).

**Fig. 6: Heatmap of significantly reactive 15-mer peptides recognized by antibodies in the plasma from rhesus macaques self-cured and challenge-resistant to *S. mansoni*.**

During the pre-patent period at wk4pi, migrating somula did not elicit a significant early IgG response against any of the selected peptides from gut and esophageal gland proteins (Fig. 6a). Of note, by wk6pi, when the expression of gut and esophageal gland proteins in juveniles had increased, the antibodies in rhesus macaques’ plasma recognized stretches from both SmCatB peptides (Smp_179950.1|307, and Smp_158420.1 | 307) and from SmAE asparaginyl endopeptidase (Smp_075800.1|613) screened on the array (Fig. 6a). In addition to these targets, plasma from wk8pi recognized MEG-4.1 epitopes (Fig. 6a), validating the PhIP-Seq analysis for these antigens at this specific time point (Fig. 6b). On the other hand, wk8pi plasma failed to recognize SmAE peptide Smp_075800.1|766 (Fig. 6a). However, its reactivity was confirmed through both PhIP-Seq (Fig. 6b) and Dot Blot assays (Supplementary Information, Supplementary Fig. 5).

By wk10pi, at the rhesus macaques-initiated parasite clearance phase²³, sustained antibody recognition of linear epitopes from SmCatBs (Smp_179950.1|307, and Smp_158420.1|307) and SmAE (Smp_075800.1|613) was observed (Fig. 6a). However, the PhIP-Seq data from this time point did not reveal a response against gut proteins (Fig. 6 b), pointing to a possible lack in sequencing depth after the exposure and capture of multiple antigens at this time point. Of note, only MEG-4.1 remained detected on the peptide microarray at wk10pi (Fig. 6a), showing concordance with PhIP-Seq (Fig. 6b). In contrast, the other MEGs detected by PhIP-seq at wk10pi were not reactive on the peptide microarray.

Notably, just before the challenge at wk42pi, a significant response against SmCatB Smp_158420.1|307, SmAE Smp_075800.1|613, and MEG-4.1 epitopes was observed (Fig. 6a). Epitopes from SmCatB Smp_158420.1|307 and MEG-4.1 remained significantly recognized at wk1pc and wk4pc (Fig. 6a), suggesting their potential role in blocking reinfection.

Rhesus macaques’ plasma from all assayed weeks were not reactive against MEG-3.1, MEG-8.1, and MEG-15 on the peptide microarray (Fig. 6a), being only identified using the PhIP-Seq method (Fig. 6b). It is worth noting that in the PhIP-Seq assay, a 58-mer peptide was displayed, and it is possible that these phage-displayed peptides assumed a conformational structure that was not captured by the linear peptides printed on the peptide microarray.

Interestingly, MEG-12 (MEG000012|1) had not been enriched in the PhIP-Seq assay, showing low read counts (Supplementary Information, Supplementary Table 1). Therefore, we included it in the peptide microarray as a putative negative control. Curiously, macaques’ plasma from wk10pi onwards strongly recognized MEG-12 (Fig. 6a). This unexpected finding suggests a potential false negative result in the PhIP-Seq analysis, possibly due to the low abundance in the input library of phages displaying this antigen and/or an unfavorable folding of the peptide in the fusion protein displayed by the phage.

These observations underscore the successful validation of the rhesus macaque’s antibody response against gut proteins and MEG-4.1, both during the self-cure and the challenge-resistant phases.

SmCatB and SmAE epitope mapping of rhesus macaques’ plasma reactivity and comparison with non-permissive hosts

Antibodies from all rhesus macaques strongly recognized epitopes from SmCatB paralogs (Smp_179950.1|307 and Smp_158420.1|307) at wk6pi (Fig. 7a, b). Smp_179950.1|307 was recognized at two distinct motifs: the 7-aa residues KSIATIR close to the N-terminal (wk6pi and wk8pi) (Fig. 7a, red color), and the 21-aa sequence KQNVELSAVDLEGIVTGSSKE close to the C-terminal (wk6pi, wk8pi, and wk10pi) (Fig. 7a, orange color). Among the SmCatB Smp_158420.1|307 epitopes, residues LAWDYWVKEGIVTGSSKE (18-aa) (Fig. 7b, blue color) showed the highest median signal reactivity during the initial self-cure weeks (Fig. 7 b, green, purple and orange curves), followed by a recall response at wk4pc (Fig. 7b, pink curve). Epitopes KQNVELSAVDL (11-aa) (Fig. 7a, b, orange) and EGIVTGSSKE (10-aa) (Fig. 7a. b, blue) were recognized in both paralogs, Smp_179950.1|307 and Smp_158420.1|307, but at different positions within these sequences (Fig. 7a, b). The EGIVTGSSKE motif is contained within the longer 18-aa epitope (Fig. 7b, blue color motif).

**Fig. 7: *S. mansoni* SmCatB paralogs (Smp_179950.1 and Smp_158420.1) and SmAE Asparaginyl endopeptidase (Smp_075800.1) epitope mapping with reactive plasma from rhesus macaques.**

The PhIP-Seq enriched peptide SmCatB Smp_067060.1|460 was not included in the peptide microarray, and it is interesting to note that it shares a very similar sequence with the 18-aa epitope of SmCatB Smp_158420.1|307, only differing by two amino acids (P and F) as marked in Fig. 7c.

We compared the antibody response of rhesus macaques with the response from two different permissive controls, infected hamsters, and mice. Interestingly, hamsters did not show IgG response against cathepsins (not shown). In contrast, sera from infected mice recognized a short 9-aa motif LAWDYWVKE (Fig. 7d, see blue-colored sequence), which is part of one of the motifs recognized by plasma from rhesus macaques (Fig. 7b, see the blue-underlined sequence), with the mouse response being triggered in 57.1% (4/7) to 85.7% (6/7) of the animals (Fig. 7d).

The PhIP-Seq enriched peptide Smp_075800.1|613 from SmAE asparaginyl endopeptidase protein, when tested in the peptide microarray, was recognized almost throughout all its sequence by plasma from at least 50% (4/8) of rhesus macaques, covering 42 amino acid residues (Fig. 7e, green sequence). A prominent 35-aa sequence was recognized by at least 62.5% (5/8) of the macaques, with the highest median signal observed at wk8pi (Fig. 7e, purple curve), followed by wk6pi and wk10pi, resulting in a response from all rhesus macaques against some of the residues. A lower signal was observed in 50% (4/8) of the macaques at wk1pc and wk4pc (Fig. 7e, blue and pink curves). When infected mice, the permissive host, was tested, a shorter reactive motif TCLADLYSYDWIVDSQT (17-aa) was detected (Fig. 7f, green sequence), with a response in 57.1 (4/7) to 85.7% (6/7) of the animals. This motif is part of the longer motif recognized by rhesus macaques’ plasma (Fig. 7e, see the green-underlined sequence).

Species-specific motifs identified in MEG-4.1 by epitope mapping

A robust immune response against MEG-4.1 peptides encoded by new exons of MEG-4.1 was detected with the peptide microarray, which was employed to investigate the antibody response of self-cured and challenge-resistant rhesus macaques and to compare it with the antigenic determinants recognized by infected permissive hosts. These new exons on MEG-4.1 Smp_163630 v5.2 gene, the version that was used for the phage-display library, were annotated using our in silico predicted alternatively spliced MEG library sequences and were confirmed with MEG-4.1 Smp_307220 sequence, on the updated S. mansoni transcriptome version 7. As the rhesus macaques’ antibodies captured over 300 MEG-4.1 58-mer PhIP-Seq enriched peptides, the peptide microarray was designed to cover the 52^nd to the 149^th amino acid positions from Smp_307220.2, plus non-canonical exon junctions, contemplating possible epitopes represented in the PhIP-Seq enriched peptides (Supplementary Information, Supplementary Table 6).

Rhesus macaques’ antibodies significantly recognized two canonical MEG-4.1 epitopes present in six sequences designed in the peptide microarray (Fig. 8a, and Supplementary Information, Supplementary Fig. 6). A critical response of 75% of the rhesus macaques against epitope KDKHPTQ was observed with plasma from post-challenge at wk1pc (Fig. 8a, left panels); the median signal response slightly decreased at wk4pc, and a higher number of animals (87.5%) had antibodies against this motif (Fig. 8a, left panels). Looking at other segments of MEG-4.1 represented in the MEG4.1901110|307 peptide, a broad response against a different epitope was detected at all time points from wk8pi onwards, namely epitope QINDGTSDK (9-aa) (Fig. 8a, right panels), which was duplicated in this peptide sequence. From the challenge (wk42pi) until wk4pc, slightly different segments of this epitope were recognized by 87.5% (7/8) to 100% (8/8) of rhesus macaques, with a median signal intensity higher than that of earlier weeks (Fig. 8a, right panels, and Supplementary Information, Supplementary Fig. 6). Noteworthy, from all 333 PhIP-Seq enriched MEG-4.1 peptide sequences in the rhesus macaques’ dataset, only seven peptides (2.1%) do not contain any of these two highly reactive epitopes.

**Fig. 8: *S. mansoni* MEG-4.1 epitope mapping with reactive plasma from rhesus macaques.**

Infected hamsters and mice, permissive hosts, were tested and we found that 60% of hamsters recognized the YIEDNKK sequence (Fig. 8b). In comparison, ≥57% of mice responded to the canonical epitope’s residues DTHTIKRTT (Fig. 8c). Most interestingly, both motifs differ from those recognized by rhesus macaques (Fig. 8a), as indicated by the animal silhouettes at the bottom of Fig. 8a–c. Of note, a response against non-annotated putative alternatively spliced exon junctions was not significantly detected.

MEG-12 epitopes mapping

MEG-12 is a pre-protein with 66-aa (Smp_152630), and the mature secreted sequence is only 42-aa long (Fig. 9a, bottom). The phage-display library contained 58-mer peptide inserts; consequently, the 42-aa long original MEG-12 sequence was designed on the library with an extended C-terminal sequence that included a duplicated N-terminal 16-aa sequence to make up for the 58-mer. The peptide microarray followed the same design and included the N-terminal duplicated sequence. Analysis of reactive epitopes within the MEG-12 protein on the peptide microarray revealed a strong median signal intensity of rhesus macaques’ antibodies against an N-terminal 12-aa motif GENYEQQLQQPK with rhesus macaques’ plasma from wk10pi onwards (Fig. 9a), showing slightly higher median intensities at wk1pc and wk4pc. Interestingly, a shorter epitope GENYEQQ was recognized by sera from mice in approximately 71.4% (5/7) of infected animals (Fig. 9b).

**Fig. 9: *S. mansoni* MEG-12 epitope mapping with reactive plasma from rhesus macaques.**

Immunization of mice with peptides from S. mansoni blood-feeding and nutrient uptake proteins reduces female worm burden in a protection assay

Based on the PhIP-Seq analysis, a set of peptides was selected as potential vaccine candidates, expressed individually in phages, and evaluated as a mixed pool in mice. Specifically, our selected pool included peptides from SmAE asparaginyl endopeptidase protein, SmCatB paralogs, MEG-3.1, MEG-4.1, MEG-8.1, and MEG-15. Seven mice were immunized with three doses of the pool of phage-displayed peptides that were intra-peritoneally inoculated at intervals of 15 days between doses. Immunized animals were infected with 120 cercariae per animal 30 days after the last dose and were perfused 42 days after infection (Fig. 10a). The results indicated that mice immunized with S. mansoni peptides had a significantly lower burden of adult worms than the wild-type (WT) control group (Fig. 10b). The worm burden reduction was 22% in the immunized group (Fig. 10b), with a marked decrease in the number of retrieved female worms (Fig. 10c). A non-significant reduction in male worms (Fig. 10d) and in the number of eggs in the liver (Fig. 10e) were seen. Additionally, there was no significant change in weight between the control and immunized mice groups (Fig. 10f).

**Fig. 10: Protection assay with a pool of *S. mansoni* peptides from blood-feeding and nutrient uptake proteins.**

Most interestingly, the peptide microarray screening with sera collected on the 58th day from 4 of the 7 animals revealed that the vaccination protocol did generate specific antibodies against two of the selected antigens (Supplementary Information, Supplementary Fig. 7), namely epitope FPALAWDYV from SmCatB Smp_158420|307 and LADLYSYDWIVDSQT from SmAE asparaginyl endopeptidase Smp_075800.1|613, which are epitopes similar to those recognized by self-cured rhesus macaques and infected mice; these were recognized by serum from ≥50% of vaccinated mice (Supplementary Information, Supplementary Fig. 7).

Discussion

In the present study, we tracked the unique rhesus macaques IgG response against S. mansoni during the self-cure and challenge-resistant phases using a large synthetic DNA phage-display library that permitted an unbiased screening of an impressive 99.6% of all proteins known to be expressed across all parasite life-cycle stages. Previous works have successfully identified several potentially protective and safe schistosomiasis vaccine antigens by screening of sera from naturally resistant human individuals, using a protein array comprised of 217 selected, mostly surface-derived S. mansoni proteins³⁵; in addition, two mimic antigenic epitopes have been identified by screening of sera from rats resistant to S. japonicum infection, using a phage-display 12-mer random peptide library³⁶. The novel PhIP-Seq technique^25,26,27 used here represents a significant improvement over previous approaches, which were limited to covering a small fraction of antigens rationally selected using recombinant protein expression^{6,35,37,38,39} or peptide microarrays^8,40. Phage-displayed S. mansoni antigens screening employed here aligns with successful applications of phage-display libraries in identifying crucial vaccine candidates for diverse pathogens, including Trypanosoma cruzi^41,42, SARS-CoV-2⁴³, and Leptospira spp⁴⁴.

Our findings reveal an earlier timeline for rhesus macaques’ immune defenses against S. mansoni than previously reported^22,23,24, accompanied by significant changes in the antibody response along the self-cure phase. Thus, as early as the beginning of egg deposition (wk6pi)²³, we observed a notable increase in antibodies targeting SmCatB, SmAE, and MEGs, essential proteins involved in parasite nutrient uptake^45,46. Subsequently, from wk10pi onwards, there was a distinct shift in the antibody response towards intracellular antigens, probably coinciding with the loss of parasite integrity within its cells and tissues. This transition suggested a progression towards parasite clearance as antigens became exposed beyond the host-parasite interface³². Indeed, the lack of hemozoin pigment in the gut of damaged parasites recovered from self-cured rhesus macaques highlights the disruption of digestive functions along the entire Schistosoma digestive tract within this non-permissive host^23,24.

In this study, we observed a significant immune response simultaneously developing at wk6pi against similar motifs among SmCatB paralogs, which are crucial proteins for hemoglobin digestion, and against SmAE, a proteolytic asparaginyl endopeptidase enzyme involved in activating cathepsins⁴⁶. The rhesus macaques’ immune response strongly correlated with the juvenile blood-feeding stage (wk6pi), indicating the importance of simultaneously targeting these proteins during this critical early phase of parasite development.

Besides gut proteins, a robust immune response targeting the parasite esophageal gland was observed, specifically directed towards MEG proteins. In rhesus macaques, S. mansoni MEG proteins elicit a robust IgG immune response, which is believed to be a primary mechanism hindering parasite survival^22,24,32,40. Notably, MEG-4 has been shown to be crucial in allowing the parasite to evade the susceptible host immune system successfully⁴⁷. Here, rhesus macaques’ antibodies were shown to consistently recognize MEG epitopes throughout self-cure and challenge-resistant phases, demonstrating their immunogenicity. Interestingly, the discordant species-specific recognition of MEG-4.1 epitopes in rhesus macaques, mice, and hamsters identified here suggests potential variations in the host immune systems or possible differences in genetic backgrounds between permissive and non-permissive hosts⁴⁸.

Remarkably, MEG-12, initially classified as a PhIP-Seq negative sequence, displayed a reactive epitope recognized by both rhesus macaques’ plasma and mice sera in the peptide microarrays. The epitope is identical to that recognized by infected children from an endemic area in Ethiopia⁴⁹, and by mice immunized with attenuated cercariae⁸. This finding highlights MEG-12 as a well-established antigenic target⁴⁹ and underscores a limitation of the PhIP-Seq technique in detecting low-copy antigens in the phage-display library.

Encouragingly, immunization with selected antigens expressed in phage has generated antibodies against SmCatB and SmAE in mice, causing a significant reduction in total worm burden by 22% and in females worm burden by 25%. Reduction in worm burden aligns with previous research with S. mansoni, where immunization of mice with full length rSmCatB and rSmCatL alone or combined have elicited a 54-65% worm burden reduction^50,51,52, immunization with multi-antigenic-peptide constructs comprising two epitopes from CatB and CatL elicited significant 39% reduction in challenge worm burden with an opposite effect of 64% increase in liver eggs⁵³, while immunization with full length rSmCatB led to an impressive >80% reduction in worm burden in mice^54,55; of note, immunization of mice with rSmAE resulted in a 37% decrease in egg-laying⁵⁶. Generating an effective vaccine against S. mansoni has been challenging. Nevertheless, introducing new schistosomiasis vaccines will become an essential component for disease elimination⁵⁷. Eventually, more encouraging results could be reached with S. haematobium, for which an immunization of mice with CatB plus CatL adjuvanted with GAPDH caused a highly significant reduction of 72% in challenge worm burden and no eggs present in liver⁵⁸, thus exhibiting a more successful protection than with S. mansoni, that showed 69% reduction in worm burden and only a reduction of 73% in liver eggs⁵².

Although low titers of specific antibodies were detected in phage-immunized mice in the present pilot vaccine trial, the phage-based vaccine has been proven a good antigen delivery system for S. japonicum²⁸ and, more recently, for SARS-CoV-2⁵⁹. We suggest that optimization of multi-antigen formulations, including SmCatB and SmAE peptide epitopes, other delivery systems, and adjuvants, is warranted. Additionally, MEGs are known to possess intrinsically disordered domains⁶⁰ and should be further investigated, given that intrinsically disordered proteins with tandem repeat sequences have been shown to induce neutralizing antibodies against Plasmodium falciparum⁶¹.

In conclusion, our unbiased approach significantly contributed to a more holistic perspective on the intricate relationship between the parasite and the non-permissive rhesus macaque host immune response during the self-cure and resistance to challenge processes. By employing multiple immunomics techniques, these findings strongly support the potential of a combination of epitopes from a selected set of secreted-feeding proteins as highly promising vaccine candidates for schistosomiasis.

Methods

Ethics statement

Housing conditions of the rhesus macaques and experimental protocols used in the study were in strict accordance with the Ethical Principles in Animal Research adopted by the Conselho Nacional de Controle de Experimentação Animal (CONCEA) and were approved by the Institutional Animal Care and Use Committee of Instituto Butantan (CEUAIB 1388/ 15). The study was carried out in compliance with the ARRIVE guidelines. The design and execution of the study complied with the recommendations of the Weatherall report (2006) “The use of non-human primates in research”, in which there are sections dealing with the continued need for primates in schistosomiasis research, particularly in vaccine development. The study also complied with principles set out in the UK NC3Rs Guidelines Primate accommodation, care and use (revised version, October 2017) (http://www.nc3rs.org.uk/primatesguidelines). Twelve adult female rhesus macaques (Macaca mulatta) from the captive-breeding colony at the Central Animal Facility at Butantan Institute were group-housed for the whole experiment, permitting social interactions, continuous socialization and colony welfare, as detailed in our previous study²³. Animal ages ranged from 7 to 16 years-old and the animals underwent hematological, parasitological, and clinical tests before the beginning of experiments²³. The facility is accredited by Conselho Nacional de Controle de Experimentação Animal (CONCEA).

For permissive hosts, housing conditions of the Syrian hamsters (Mesocricetus auratus) and experimental procedures used in this study were also in strict accordance with the Ethical Principles in Animal Research adopted by the CONCEA and the animals’ colony was submitted before the experiment to microbiological, serological and parasitological (search for protozoan, ectoparasites and endoparasites) tests, which confirmed the absence of pathogens, according to the Federation of European Laboratory Animal Science Associations (FELASA) guidelines on health monitoring; the experimental protocol was approved by the Ethics Committee for Animal Experimentation of Butantan Institute (CEUAIB n° 9416110219/ID 001708).

Housing conditions and experimentation with mice (Mus musculus) were also in strict accordance with the Ethical Principles in Animal Research adopted by the CONCEA and the animals’ colony was submitted before the experiment to microbiological, serological and parasitological (search for protozoan, ectoparasites and endoparasites) tests, which confirmed the absence of pathogens, according to the FELASA guidelines on health monitoring; the experimental protocol was approved by the Ethics Committee for Animal Experimentation of Butantan Institute (CEUAIB n° 9667040520).

Permissive and non-permissive hosts for schistosomiasis – parasite exposure and sampling regimen

S. mansoni cercariae from a BH isolate (Parasitology Laboratory, Butantan Institute, Brazil) maintained by passage through golden hamsters (Mesocricetus auratus) and Biomphalaria glabrata snails were used for all infection and challenge experiments described here.

In our previous study²³, 12 female rhesus macaques were exposed percutaneously to 700 cercariae on day zero and challenged with the same number of cercariae on the 42^nd week post-first infection. Plasma samples were collected from pre-infection, infection, and post-challenge at several weeks²³ and were used in the present work. The selected time points and animals’ samples utilized in the present work will be described in the appropriate sections below. For macaques’ infection and for plasma collections, the macaques were anesthetized with xylazine (5 mg/kg body weight) and ketamine hydrochloride (10 mg/kg body weight). The experiment was terminated at week 20 post-challenge, the same time window as that when the macaques had eliminated the parasites from the primary infection phase²³, by euthanizing the macaques with xylazine (5 mg/kg body weight) and ketamine hydrochloride (10 mg/kg body weight) sedation followed by a lethal dose of sodium thiopental (21 mg/kg body weight) and ketamine hydrochloride (36 mg/kg body weight).

Five golden Syrian hamsters (Mesocricetus auratus) aged 21 days-old were percutaneously infected with 100 cercariae, and serum samples were collected at weeks 0, 12, and 22 pi, as previously described²³. Essentially, for hamsters’ infection and for serum collections, the hamsters were anesthetized with ketamine hydrochloride (10 mg/kg body weight) and xylazine (0.5 mg/kg body weight). The experiments were terminated at week 22 pi, when the parasites reached full maturity, by euthanizing the hamsters with ketamine hydrochloride (300 mg/kg body weight) and xylazine (60 mg/kg body weight).

Seven Balb/c mice aged 95 days-old were infected with 120 cercariae using the above-mentioned percutaneous method. For mice infection, they were anesthetized with ketamine hydrochloride (10 mg/kg body weight) and xylazine (0.5 mg/kg body weight). Serum samples were collected at weeks 0 and 6 pi with retro-orbital bleeding, after local anesthesia with proxymetacaine hydrochloride (5 mg/ml). The experiments were terminated at week 6 pi, when the parasites reached full maturity, by euthanizing the mice with ketamine hydrochloride (300 mg/kg body weight) and xylazine (60 mg/kg body weight).

Design of the S. mansoni phage-displayed peptides library

A comprehensive synthetic DNA library with 119,747 sequences encoding 58-mer-long peptides was engineered by our group (Supplementary Information, Supplementary Table 4). The library covered all known 11,641 different S. mansoni proteins from V5.2 of the S. mansoni transcriptome expressed across the various parasite life-cycle stages. Each Open Reading Frame (ORF) was divided into 174-nt long fragments with a 21-nt overlap between consecutive segments, generating a total of 112,592 oligos, which were annotated with the respective Smp code, followed by a pipe symbol (|) and a three- to four-digit number (nnnn) representing the start nucleotide position of that given peptide within the full-length gene (ID: Smp_nnnnnn.n|nnnn). An additional 6497 putative alternatively spliced oligo sequences were designed in silico based on different combinations of short symmetric exon arrangements from 22 MEG family genes⁶² (ID: MEGnnnnnnnn|nnnn). In addition, 658 oligos encoding 255 newly identified genes⁶³ were included (with variable ID names). Stop codons were removed, and synonymous mutations were introduced to optimize phage expression in E. coli and to eliminate restriction sites NcoI, PstI, and EcoRV from the 174-nt long sequences. Note that the oligo encoding the C-terminal end of each protein may have an overlap longer than 21-nt with the second-to-last oligo, to keep the 174-nt long insert size of the library design. Two 17-nt-long adapter sequences were added to each oligo at the 3’ and 5’ extremities, resulting in a total length of 208 nt. All oligonucleotide sequences are shown in Supplementary Table 4 (in Supplementary Information). The oligonucleotides were synthesized in duplicate on a releasable DNA microarray^25,26 (Agilent Custom Oligo Library Synthesis OLS n° G7223A – 244k, 191-210 nt).

Cloning S. mansoni phage-display library

We PCR-amplified the synthetic DNA library in 11 independent pools using the following conditions: synthetic DNA library (200 pM), 0.5 µM of each primer complementary to the 17-nt adapter sequences, 0.2 mM dNTPs, and 0.5 µL DNA Polymerase Invitrogen Platinum™ superFi per 50 µL reaction.

Forward Primer: 5’-CTGACCATGGCATCCAG-3’

Reverse Primer: 5’-TCATGCTGCAGACGATG-3’

The reactions thermal profile was

The PCR products from the 11 pools were combined, purified with Wizard SV Gel kit and PCR Clean-Up System (Promega) and quantified using Nanodrop and Qubit fluorometer. Amplicons (~2000 ng) and pG8SAET phagemid vector⁶⁴ modified to include a PstI restriction site (~8000 ng) were separately digested with NcoI (High Fidelity version NcoI-HF) and PstI (High Fidelity version PstI-HF) restriction enzymes, following the manufacturer-suggested protocol. The resulting cohesive ends were ligated in 20 independent reactions at the inserts:vector proportion of 1:5 (NEB Instant Sticky-end Ligase Master Mix). The combined reactions were precipitated by adding 10% of 3 M sodium acetate (pH 5.2), 0.4% glycogen and 2.7-fold absolute ethanol. The mixture was incubated for 3 h at –80 °C. Subsequently, the tube was centrifuged at 12,000 x g at 4 °C for 30 min. The supernatant was discarded, and the tube was dried at 55°C. The resulting pellet was then resuspended in DEPC water.

A mass of 1000 ng from the resulting cloned library was amplified in E. coli TG1 strain and purified by QIAfilter Plasmid Purification Maxi kit (QIAGEN), using the manufacturer-suggested protocol. TG1 was electroporated with 5 µg of the plasmid library. The library at this step was titrated and presented ~800-fold representation. The library was amplified, packaged into pG8SAET bacteriophage by using helper phage M13KO7, and precipitated using the PEG/NaCl protocol, as described⁶⁴. The phage-display library was amplified only once and applied to all samples in the following PhIP-Seq steps.

Phage Immunoprecipitation-Sequencing (PhIP-Seq)

For this study, plasma samples from 10 rhesus macaques, which were not considered outliers in our previous analysis²³, were selected (Rh2, Rh3, Rh4, Rh5, Rh6, Rh7, Rh8, Rh9, Rh11, and Rh12). As previously reported²³, Rh1 was considered an outlier because an accidental leakage of liquid from the metal ring during infection resulted in this animal receiving a lower dose of cercariae at week 0; Rh10 was an outlier because this macaque became seriously unwell after Wk10 post-infection and had to be withdrawn from the study. Plasma collected after the S. mansoni infection at weeks 0, 8, 10, and 12 pi, and after the challenge at wk1pc and wk4pc were incubated with the phage-display library following the PhIP-Seq protocol as described^25,26, with some adaptations. The tubes were previously blocked with 3% bovine serum albumin (BSA) in saline Tris-buffer with 0.5% tween-20 (TBST). Rhesus macaques’ IgGs were quantified using Monkey IgG ELISA Kit (Abcam- ab190549) and added at a final concentration of 2 μg/ml in 1 ml of the phage library, containing ~2 × 10⁵ copies of each sequence (5 × 10¹⁰ [PFU]/ml), diluted in Phage extraction buffer (20 mM Tris-HCl, pH 8.0, 100 mM NaCl, 6 mM MgSO4). All samples in duplicates were placed under rotation overnight at 4 °C. Phages that bound to IgG antibodies during the screening were immunoprecipitated (IP) using 40 μl of a mix containing proteins A and G coupled to magnetic Dynabeads (Invitrogen, 10001D, and 10003D) in the proportion 1:1. Reaction tubes were rotated again at 4 °C for 4 h. The IP reactions were placed in a magnetic rack, and beads were washed three times with 500 µl of Immunoprecipitation wash buffer (150 mM NaCl, 50 mM Tris-HCl, 0.1% NP-40, pH 7.5). IPs were resuspended in 30 µl of water and denatured at 90 °C for 10 min.

Immunoprecipitated DNA inserts were amplified by two rounds of PCR using Platinum superFi PCR Master Mix. In the first round, 56 µL reactions had 30 µL of PhIP and 0.1 µM of the 5’-GCAACACGatgaccatggcatccag-3’ and 5’-GCACCGGGTacgtactgcagacgatg-3’ primers, which contain part of the vector sequences (capital letters) and part of the adapters (lower letters) that flank the DNA insert of the library. The thermal profile followed the manufacturer 2-step PCR suggestions, and the denaturation and extension steps were repeated in 35 cycles. This reaction was purified using 1.2 X Agencourt AMPure XP, as suggested by the manufacturer.

The second PCR was performed to add Illumina adapters with 4 ng of DNA from the first PCR and a final concentration of 0.25 µM of the 5’-TCGTCGGCAGCGTCAGATGTGTATAAGAGACAGGCAACACGatgaccatggcatccag-3’ and 5’-GTCTCGTGGGCTCGGAGATGTGTATAAGAGACAGCACCGGGtacgt

actgcagacgat-3’ primers.

PCR cycles were modified to enhance specificity:

Delta mode decreases 0.5 °C and enhances 1 s at each cycle (Veriti 96 wells Thermal Cycler, Applied Biosystems). The second PCR product was purified with 0.65X Agencourt AMPure XP and paired-end-sequenced with Illumina HiSeqXTen at BGI.

Two replicas of the total library without going through precipitation steps were sequenced as an input control (~30 million reads per replicate). From the IP samples, 120 rhesus macaques’ PhIP-Seq samples (10 animals, 6 time points, 2 replicates = 120 samples), and 15 hamsters’ PhIP-Seq samples (5 animals, 3 time points per animal = 15 samples) were sequenced (~4 million reads per sample). As negative controls 12 immunoprecipitated phage samples that were incubated only with Protein A / Protein G magnetic beads, without plasma were sequenced (~2 million reads per sample).

PhIP-Seq informatics and statistical analysis

The raw reads were processed using fastp (v 0.19.5)⁶⁵ for sequences quality control and filtering, using default parameters. For mapping, each of the 119,747 oligonucleotides in the library (in the 174-nt insert stretch) was given a unique index, and then the reads were mapped against the library using Bowtie2 (v 2.3.4.3)⁶⁶. Bowtie2 was used in no-mixed mode to disregard alignments in disagreement between paired-reads and very-sensitive mode, to increase alignment accuracy. As the DNA ORFs encoding the proteins were fragmented in silico into unique sequences in the library, there is no concern about splicing, and the sequencing reads must align completely with the sequence of one of the library fragments. Counting the number of reads mapped to each oligonucleotide in the library was done with Samtools (v 1.8)⁶⁷ and the counts are shown in Supplementary Table 1 (in Supplementary Information).

We developed a PhIP-seq Bayesian statistical analysis to calculate the enrichment of each peptide based on the logODDs ratio, following the Aitchison logistic normal model⁶⁸ (Supplementary Information). Our approach precludes the use of hard approximation (or convergence) methods such as the Markov Chain Monte Carlo (MCMC) algorithm. Instead, our sample is modelled as a large multinomial distribution, which gives as posterior a beta multivariate distribution with a known parameter, the sample frequency vector. The advantage is to use a log-odds transformation producing a multivariate normal distribution with digamma and trigamma functions as their means and variances – the Aitchison logistic normal distribution⁶⁸. This is an exact method, not an asymptotic procedure, which is summarized in the Supplementary Information. Essentially, we used the non-informative prior, the simple multivariate beta distribution with unity vector parameter. The large sample size implies that the posterior is not significantly influenced by the choice of standard priors. The posterior probability function in this case can be understood as the average of the likelihood functions. Finally, taking a weighted average of the densities of a group of individuals, the meta-distribution of the group is obtained (Supplementary Information).

For this analysis, samples from the 10 rhesus macaques that were not considered outliers in our previous study²³, were used (Rh2, Rh3, Rh4, Rh5, Rh6, Rh7, Rh8, Rh9, Rh11, and Rh12). The method of meta-analysis was used to compare groups, where each peptide represented a different meta-distribution, and the probability of the meta-distribution of one group being higher or lower compared with the other group was calculated to determine significant differences⁶⁹; samples were divided into 3 groups: (1) two input libraries, (2) PhIP-Seq samples, and (3) negative controls. PhIP-Seq samples from the 10 rhesus macaques were further divided into six groups: wk0, wk8pi, wk10pi, wk12pi, wk1pc, and wk4pc. Three comparisons were made to identify enriched peptides: post-infection or post-challenge samples vs input libraries, post-infection or post-challenge samples vs negative controls, and post-infection or post-challenge samples vs wk0. Hamster samples were also divided into three groups, and similar analyses were performed to identify enriched peptides. The probability distribution curve of the post-infection or post-challenge group compared with each of the other three groups should be greater than or equal to 0.85 for the peptide to be considered enriched at a given time point.

Analysis of proteins comprising enriched peptides

Genes encoding the proteins that comprise the enriched peptides were assigned to the different parasite life-cycle stages according to their published RNA-seq expression levels^29,30. Data was downloaded with fasterq-dump (v.3.0.2) from PRJEB44842 for 12 egg samples³⁰, integrity of data was checked using vdb-validate (v.3.0.2). Sequenced reads were filtered using fastp and aligned with STAR (v 2.7.3a) against the S. mansoni genome PRJEA36577 (v7) retrieved from WormBase (schistosoma_mansoni. PRJEA36577.WBPS14.genomicsoftmasked.fa). Read counting was performed with RSEM (v 1.3.1) using a previously published transcriptome annotation²⁹. Data from other stages were downloaded from http://verjolab.usp.br/public/schMan/schMan3/macielEtAl2019/files/TPM_final.tsv²⁹; only samples from whole worm were used, consisting of adult females (n = 37), adult males (n = 34), mixed adults (n = 20), juveniles (n = 9) and somula (n = 11). TPM values were used to calculate median values at each stage; each protein was assigned to the stage with the highest median expression (Supplementary Information, Supplementary Table 5). For each protein comprising an enriched peptide the subcellular location was predicted using the entire protein sequence and the Deeploc2 algorithm⁷⁰ (Supplementary Information, Supplementary Table 5).

Extracellular proteins analysis

Extracellular proteins assignment was done using single-cell data³¹, available online at http://verjolab.usp.br:8081/cluster-search/ (Supplementary Information, Supplementary Table 3).

SmAE protein was modeled using Mus musculus asparaginyl endopeptidase as a template (PDB 4NOK, 41.96% sequence identity), while SmCatB paralogs models were generated based on the crystal structure of S. mansoni cathepsin B1 (PDB 4I04) with sequence identities ranging from 85.71% to 95.60%. Homology models were generated using Swissmodel server (https://swissmodel.expasy.org/)^71,72,73,74.

Design and analysis of the peptide microarray

The peptide microarray was custom designed and ordered through PEPperPrint with 15-mer peptides printed on a glass slide in duplicate with a tiling offset of 2-aa, including a quality control HA tag (YPYDVPDYAG) (PEPperCHIP Custom Peptide Microarrays). Each array covered 23 peptide sequences from 7 different gut and esophageal gland proteins which were enriched in the rhesus macaques PhIP-Seq samples analysis (Supplementary Information, Supplementary Table 6). Four non-enriched sequences were added as negative controls (Supplementary Information, Supplementary Table 6). Rhesus macaques, hamsters and mice plasma/serum samples were individually screened with the microarrays using a 100-fold dilution following the manufacturer’s hybridization protocol. Secondary antibodies were 500-fold diluted (rhesus macaques – goat anti-Human IgG Fc Secondary Antibody, DyLight 650 (ThermoFisher); mice – Anti-Mouse IgG F(c), DyLight 649 conjugated (Rockland Immunochemicals); hamsters––Goat Anti-Syrian Hamster IgG H&L, DyLight 488 (ab102322)). The slides were scanned in the Agilent G2505C Sure-scan High-resolution technology scanner.

Sample selection: rhesus macaque (n = 8) plasma samples were collected at weeks 0 (pre-infection), 4, 6, 8, 10 post-infection (pi), 42 (challenge), weeks 1 and 4 post-challenge (wk1pc, and wk4pc). Here, we excluded samples from outliers (rhesus 1 and 10) and from medium responders to the infection (rhesus 7 and 12) based on a previous analysis²³. Hamsters and mice serum samples (n = 5 and n = 7, respectively) were collected at pre-infection (wk0) and at the perfusion (wk6 and wk22, respectively).

Data analysis: The peptide microarray data were analyzed using the pepStat package from the Bioconductor project⁷⁵. Innopsys MAPIX software outputs were stored in GPR file format and transformed into a log2 scale. A peptide z-scale was obtained to reduce batch/slide effects and nonspecific antibody binding signal. The slidingMean function was applied to check for neighboring peptides with 2-aa overlap sharing similar intensity values. Epitopes detected in at least 50% of samples with a normalized signal higher or equal to the median signal in the slide and FDR ≤ 1% were considered significantly reactive. Epitopes with 4-aa or longer were selected for further analyses.

Dot Blot validation

Phage inserts encoding peptides Smp_075800.1|766, MEG8.21200110|154, MEG3.1710010|154, and MEG151001110|307 were individually amplified (specific primers – Supplementary Information, Supplementary Table 7), digested and cloned into the pG8SAET modified phagemid vector, as described above. Sequences were confirmed by Sanger sequencing and expressed into pG8SAET phage⁶⁴. Additionally, pG8SAET without insert was used as WT negative control. Phages were titrated by plaque assay, and inserts were PCR confirmed. Dot blot was performed as described⁷⁶ with modifications. For nitrocellulose membrane preparation, 5 μg of each phage (Pierce BCA Protein Assays) was suspended in 5 μl of TBS and dot blotted on each of 16 membrane strips. Membranes were air-dried for 1 hour at room temperature. Then, they were blocked for 2 hours at room temperature, followed by three 5-minute washes. Rhesus macaques’ plasma from eight animals was diluted 1000-fold in 1% BSA in TBS-T for wk0 or wk10pi samples and incubated with each of the 16 strips overnight at 4 °C. Then, membranes were washed and incubated with a 5000-fold dilution of Anti-human IgG conjugated with HRP (Sigma-Aldrich A8667) for 1 hour, followed by other wash steps. The reaction was revealed using Amersham ECL Prime Western Blotting Detection Reagent. Quantification was performed by scanning developed films and analysing the .tiff file with ImageJ software.

Immunization of mice with S. mansoni phage-displayed peptides identified by rhesus macaque antibodies

Seven Balb/c female mice aged 35 days-old received an intraperitoneal immunization with a pool of 36 selected 58-mer peptides expressed as fusion proteins in the phage-capsid. We selected two different SmCatB peptides, two SmAE segments, 2 MEG-3.1 peptides, 14 MEG-4.1 peptides, 12 MEG-8.1 peptides, and 4 MEG-15 peptides (Supplementary Information, Supplementary Table 7). The DNA encoding each peptide was individually amplified under the specified conditions (Supplementary Information, Supplementary Table 7), cloned, checked by Sanger sequencing, and packaged into pG8SAET bacteriophage⁶⁴. Mice were divided into immunized and control groups with seven animals each. Both groups received three doses with 15-day intervals of either WT phage (no-insert) or the pool of recombinant peptide phages (5 × 10¹⁰PFU/dose), diluted in PBS⁷⁷. Serum was collected 28 days post-the-third immunization dose, and animals were infected 30 days after the last dose with 120 S. mansoni cercariae. At perfusion, wk6pi, adult worm load, eggs per mg of digested liver (5% KOH, at 37 °C, overnight), and weight were compared between the two groups. Sera from 28 days after the third dose from four immunized mice and WT control were selected based on the mean worm recovery per group to be screened in the peptide microarray and analyzed as described above.

Reporting summary

Further information on research design is available in the Nature Research Reporting Summary linked to this article.

Data availability

The PhIP-Seq data generated in this study have been deposited in the NCBI Sequence Read Archive (SRA) under Accession number PRJNA998398. All other data supporting the findings of this study are available within the article and its Supporting Information files.

References

World Health Organization (WHO). https://www.who.int/news-room/fact-sheets/detail/schistosomiasis (2023).
Molehin, A. J. Schistosomiasis vaccine development: update on human clinical trials. J. Biomed. Sci. 27, 28 (2020).
Article PubMed PubMed Central Google Scholar
Cioli, D., Pica-Mattoccia, L., Basso, A. & Guidi, A. Schistosomiasis control: Praziquantel forever? Mol. Biochem Parasitol. 195, 23–29 (2014).
Article CAS PubMed Google Scholar
Cohen, J. Unfilled Vials. Science (1979) 351, 16–19 (2016).
CAS Google Scholar
Wilson, R. A., Coulson, P. S. & Mountford, A. P. Immune responses to the radiation-attenuated schistosome vaccine: what can we learn from knock-out mice? Immunol. Lett. 65, 117–123 (1999).
Article CAS PubMed Google Scholar
Crosnier, C. et al. Systematic screening of 96 Schistosoma mansoni cell-surface and secreted antigens does not identify any strongly protective vaccine candidates in a mouse model of infection. Wellcome Open Res. 4, 159 (2019).
Article PubMed PubMed Central Google Scholar
Al-Naseri, A., Al-Absi, S., El Ridi, R. & Mahana, N. A comprehensive and critical overview of schistosomiasis vaccine candidates. J. Parasit. Dis. 45, 557–580 (2021).
Article PubMed PubMed Central Google Scholar
Farias, L. P. et al. Epitope mapping of exposed tegument and alimentary tract proteins identifies putative antigenic targets of the attenuated schistosome vaccine. Front Immunol. 11, 624613 (2021).
Article PubMed PubMed Central Google Scholar
Murrell, K. D., Clark, S. S., Dean, D. A. & Vannier, W. E. Schistosoma mansoni: Immunization of cynomolgus monkeys by injection of irradiated schistosomula. Exp. Parasitol. 48, 415–420 (1979).
Article CAS PubMed Google Scholar
Hsü, S. Y. L., Hsü, H. F., Penick, G. D., Lust, G. L. & Eveland, L. K. Schistosoma japonicum: highly irradiated cercariae as a test for specific immunity in rhesus monkeys. Exp. Parasitol. 43, 189–195 (1977).
Article PubMed Google Scholar
Panzner, U. et al. Recent advances and methodological considerations on vaccine candidates for human schistosomiasis. Front. Tropical Dis. 2, 719369 (2021).
Article Google Scholar
Zhang, W. et al. Longevity of Sm-p80-specific antibody responses following vaccination with Sm-p80 vaccine in mice and baboons and transplacental transfer of Sm-p80-specific antibodies in a baboon. Parasitol. Res 113, 2239–2250 (2014).
Article PubMed PubMed Central Google Scholar
Molehin, A. J. et al. Cross-species prophylactic efficacy of Sm-p80-based vaccine and intracellular localization of Sm-p80/Sm-p80 ortholog proteins during development in Schistosoma mansoni, Schistosoma japonicum, and Schistosoma haematobium. Parasitol. Res. 116, 3175–3188 (2017).
Article PubMed PubMed Central Google Scholar
Ahmad, G. et al. Preclinical prophylactic efficacy testing of Sm-p80–based vaccine in a nonhuman primate model of Schistosoma mansoni infection and Immunoglobulin G and E Responses to Sm-p80 in human serum samples from an area where Schistosomiasis is endemic. J. Infect. Dis. 204, 1437–1449 (2011).
Article CAS PubMed PubMed Central Google Scholar
Pearson, M. S. et al. Enhanced protective efficacy of a chimeric form of the Schistosomiasis vaccine antigen Sm-TSP-2. PLoS Negl. Trop. Dis. 6, e1564 (2012).
Article CAS PubMed PubMed Central Google Scholar
Keitel, W. A. et al. A phase 1 study of the safety, reactogenicity, and immunogenicity of a Schistosoma mansoni vaccine with or without glucopyranosyl lipid A aqueous formulation (GLA-AF) in healthy adults from a non-endemic area. Vaccine 37, 6500–6509 (2019).
Article CAS PubMed PubMed Central Google Scholar
Diemert, D. J. et al. A randomized, controlled Phase 1b trial of the Sm-TSP-2 vaccine for intestinal schistosomiasis in healthy Brazilian adults living in an endemic area. PLoS Negl. Trop. Dis. 17, e0011236 (2023).
Article CAS PubMed PubMed Central Google Scholar
Tendler, M. et al. A Schistosoma mansoni fatty acid-binding protein, Sm14, is the potential basis of a dual-purpose anti-helminth vaccine. Proc. Natl Acad. Sci. 93, 269–273 (1996).
Article CAS PubMed PubMed Central Google Scholar
Santini-Oliveira, M. et al. Schistosomiasis vaccine candidate Sm14/GLA-SE: Phase 1 safety and immunogenicity clinical trial in healthy, male adults. Vaccine 34, 586–594 (2016).
Article CAS PubMed Google Scholar
Santini-Oliveira, M. et al. Development of the Sm14/GLA-SE schistosomiasis vaccine candidate: An open, non-placebo-controlled, standardized-dose immunization phase Ib clinical trial targeting healthy young women. Vaccines 10, 1724 (2022).
Article CAS PubMed PubMed Central Google Scholar
Riveau, G. et al. Safety and efficacy of the rSh28GST urinary schistosomiasis vaccine: A phase 3 randomized, controlled trial in Senegalese children. PLoS Negl. Trop. Dis. 12, e0006968 (2018).
Article CAS PubMed PubMed Central Google Scholar
Li, X. H. et al. Evidence that rhesus macaques self-cure from a Schistosoma japonicum infection by disrupting worm esophageal function: A new route to an effective vaccine? PLoS Negl. Trop. Dis. 9, 1–26 (2015).
Article Google Scholar
Amaral, M. S. et al. Rhesus macaques self-curing from a schistosome infection can display complete immunity to challenge. Nat. Commun. 12, 6181 (2021).
Article PubMed PubMed Central Google Scholar
Wilson, R. A. et al. Elimination of Schistosoma mansoni adult worms by rhesus macaques: basis for a therapeutic vaccine? PLoS Negl. Trop. Dis. 2, e290 (2008).
Article PubMed PubMed Central Google Scholar
Xu, G. J. et al. Comprehensive serological profiling of human populations using a synthetic human virome. Science 348, aaa0698 (2015).
Article PubMed PubMed Central Google Scholar
Larman, H. B. et al. Autoantigen discovery with a synthetic human peptidome. Nat. Biotechnol. 29, 535–541 (2011).
Article CAS PubMed PubMed Central Google Scholar
Mohan, D. et al. PhIP-Seq characterization of serum antibodies using oligonucleotide-encoded peptidomes. Nat. Protoc. 13, 1958–1978 (2018).
Article CAS PubMed PubMed Central Google Scholar
Wu, H. W. et al. Protective immunity induced by phage displayed mitochondrial related peptides of Schistosoma japonicum. Acta Trop. 99, 200–207 (2006).
Article CAS PubMed Google Scholar
Maciel, L. F. et al. Weighted gene co-expression analyses point to long non-coding RNA hub genes at different Schistosoma mansoni life-cycle stages. Front Genet 10, 823 (2019).
Article CAS PubMed PubMed Central Google Scholar
Lu, Z. et al. The transcriptome of Schistosoma mansoni developing eggs reveals key mediators in pathogenesis and life cycle propagation. Front. Trop. Dis. 2, 713123 (2021).
Article PubMed PubMed Central Google Scholar
Morales-Vicente, D. A. et al. Single-cell RNA-seq analyses show that long non-coding RNAs are conspicuously expressed in Schistosoma mansoni gamete and tegument progenitor cell populations. Front. Genet. 13, 924877 (2022).
Article CAS PubMed PubMed Central Google Scholar
Figueiredo, B. C. P. et al. Kicking in the guts: Schistosoma mansoni digestive tract proteins are potential candidates for vaccine development. Front Immunol. 6, 22 (2015).
Article PubMed PubMed Central Google Scholar
Dalton, J. P., Skelly, P. & Halton, D. W. Role of the tegument and gut in nutrient uptake by parasitic platyhelminths. Can. J. Zool. 82, 211–232 (2004).
Article Google Scholar
DeMarco, R. et al. Protein variation in blood-dwelling schistosome worms generated by differential splicing of micro-exon gene transcripts. Genome Res. 20, 1112–1121 (2010).
Article CAS PubMed PubMed Central Google Scholar
Gaze, S. et al. An immunomics approach to Schistosome antigen discovery: antibody signatures of naturally resistant and chronically infected individuals from endemic areas. PLoS Pathog. 10, e1004033 (2014).
Article PubMed PubMed Central Google Scholar
Wang, M. et al. Phage displaying peptides mimic schistosoma antigenic epitopes selected by rat natural antibodies and protective immunity induced by their immunization in mice. World J. Gastroenterol 11, 2960–2966 (2005).
Article CAS PubMed PubMed Central Google Scholar
de Assis, R. R. et al. A next-generation proteome array for Schistosoma mansoni. Int J. Parasitol. 46, 411–415 (2016).
Article PubMed Google Scholar
Driguez, P., Doolan, D. L., Loukas, A., Felgner, P. L. & McManus, D. P. Schistosomiasis vaccine discovery using immunomics. Parasit. Vectors 3, 4 (2010).
Article PubMed PubMed Central Google Scholar
McWilliam, H. E., Driguez, P., Piedrafita, D., McManus, D. P. & Meeusen, E. N. Discovery of novel Schistosoma japonicum antigens using a targeted protein microarray approach. Parasit. Vectors 7, 1–11 (2014).
Article Google Scholar
Li, X.-H. et al. Mapping the epitopes of Schistosoma japonicum esophageal gland proteins for incorporation into vaccine constructs. PLoS One 15, e0229542 (2020).
Article CAS PubMed PubMed Central Google Scholar
Rodriguez Carnero, L. A. et al. Anti-Trypanosoma cruzi antibody profiling in patients with Chagas disease treated with benznidazole assessed by genome phage display. PLoS Negl. Trop. Dis. 17, e0011019 (2023).
Article CAS PubMed PubMed Central Google Scholar
Teixeira, A. A. R. et al. A refined genome phage display methodology delineates the human antibody response in patients with Chagas disease. iScience 24, 102540 (2021).
Article CAS PubMed PubMed Central Google Scholar
Pan, Y. et al. Screening of potent neutralizing antibodies against SARS-CoV-2 using convalescent patients-derived phage-display libraries. Cell Discov. 7, 57 (2021).
Article CAS PubMed PubMed Central Google Scholar
Ramli, S. R. et al. Discovery of Leptospira spp. seroreactive peptides using ORFeome phage display. PLoS Negl. Trop. Dis. 13, e0007131 (2019).
Article PubMed PubMed Central Google Scholar
Li, X.-H. et al. The schistosome oesophageal gland: initiator of blood processing. PLoS Negl. Trop. Dis. 7, e2337 (2013).
Article PubMed PubMed Central Google Scholar
Sajid, M. et al. Functional expression and characterization of Schistosoma mansoni cathepsin B and its trans-activation by an endogenous asparaginyl endopeptidase. Mol. Biochem. Parasitol. 131, 65–75 (2003).
Article CAS PubMed Google Scholar
Lee, J., Chong, T. & Newmark, P. A. The esophageal gland mediates host immune evasion by the human parasite Schistosoma mansoni. Proc. Natl Acad. Sci. 117, 19299–19309 (2020).
Article CAS PubMed PubMed Central Google Scholar
Bjornson-Hooper, Z. B. et al. A comprehensive atlas of immunological differences between humans, mice, and non-human primates. Front. Immunol. 13, 867015 (2022).
Article CAS PubMed PubMed Central Google Scholar
Vlaminck, J. et al. Identification of antigenic linear peptides in the soil-transmitted helminth and Schistosoma mansoni proteome. PLoS Negl. Trop. Dis. 15, e0009369 (2021).
Article CAS PubMed PubMed Central Google Scholar
El Ridi, R. et al. Cysteine Peptidases as Schistosomiasis vaccines with inbuilt adjuvanticity. PLoS One 9, e85401 (2014).
Article PubMed PubMed Central Google Scholar
Tallima, H. et al. Protective immune responses against Schistosoma mansoni infection by immunization with functionally active gut-derived cysteine peptidases alone and in combination with glyceraldehyde 3-phosphate dehydrogenase. PLoS Negl. Trop. Dis. 11, e0005443 (2017).
Article PubMed PubMed Central Google Scholar
El Ridi, R., Tallima, H., Dalton, J. P. & Donnelly, S. Induction of protective immune responses against schistosomiasis using functionally active cysteine peptidases. Front. Genet. 5, 119 (2014).
Article PubMed PubMed Central Google Scholar
Al-Naseri, A., Al-Absi, S., Mahana, N., Tallima, H., & El Ridi, R. Protective immune potential of multiple antigenic peptide (MAP) constructs comprising peptides that are shared by several cysteine peptidases against Schistosoma mansoni infection in mice. Mol. Biochem. Parasitol. 248, 111459 (2022).
Article CAS PubMed Google Scholar
Hassan, A. S. et al. Salmonella Typhimurium expressing chromosomally integrated Schistosoma mansoni Cathepsin B protects against schistosomiasis in mice. NPJ Vaccines 8, 27 (2023).
Article CAS PubMed PubMed Central Google Scholar
Perera, D. J. et al. Adjuvanted Schistosoma mansoni-Cathepsin B with sulfated lactosyl archaeol archaeosomes or AddaVax^TM provides protection in a pre-clinical Schistosomiasis Model. Front Immunol. 11, 605288 (2020).
Article CAS PubMed PubMed Central Google Scholar
Chlichlia, K., Bahgat, M., Ruppel, A. & Schirrmacher, V. DNA vaccination with asparaginyl endopeptidase (Sm32) from the parasite Schistosoma mansoni: anti-fecundity effect induced in mice. Vaccine 20, 439–447 (2001).
Article CAS PubMed Google Scholar
Hotez, P. J. & Bottazzi, M. E. Human Schistosomiasis vaccines as next generation control tools. Trop. Med Infect. Dis. 8, 170 (2023).
Article PubMed PubMed Central Google Scholar
Tallima, H., Dalton, J. P. & El Ridi, R. Induction of protective immune responses against Schistosomiasis haematobium in hamsters and mice using cysteine peptidase-based vaccine. Front Immunol. 6, 130 (2015).
Article PubMed PubMed Central Google Scholar
Davenport, B. J. et al. Phage-like particle vaccines are highly immunogenic and protect against pathogenic coronavirus infection and disease. NPJ Vaccines 7, 57 (2022).
Article CAS PubMed PubMed Central Google Scholar
Felizatti, A. P. et al. Interactions of amphipathic α-helical MEG proteins from Schistosoma mansoni with membranes. Biochimica et. Biophysica Acta (BBA) - Biomemb 1862, 183173 (2020).
Article Google Scholar
Oyen, D. et al. Cryo-EM structure of P. falciparum circumsporozoite protein with a vaccine-elicited antibody is stabilized by somatically mutated inter-Fab contacts. Sci. Adv. 4, eaau8529 (2018).
Article CAS PubMed PubMed Central Google Scholar
Wilson, R. A. et al. The Schistosome Esophagus is a ‘Hotspot’ for Microexon and Lysosomal Hydrolase gene expression: implications for blood processing. PLoS Negl. Trop. Dis. 9, e0004272 (2015).
Article PubMed PubMed Central Google Scholar
Anderson, L. et al. Schistosoma mansoni Egg, Adult male and female comparative gene expression analysis and identification of novel genes by RNA-Seq. PLoS Negl. Trop. Dis. 9, e0004334 (2015).
Article PubMed PubMed Central Google Scholar
Carnero, L. A. R. et al. Protocol for design, construction, and selection of genome phage (gPhage) display libraries. STAR Protoc. 2, 100936 (2021).
Article Google Scholar
Chen, S., Zhou, Y., Chen, Y. & Gu, J. fastp: an ultra-fast all-in-one FASTQ preprocessor. Bioinformatics 34, i884–i890 (2018).
Article PubMed PubMed Central Google Scholar
Langmead, B. Aligning short sequencing reads with bowtie. in Current Protocols in Bioinformatics https://doi.org/10.1002/0471250953.bi1107s32 (John Wiley & Sons, Inc., 2010).
Li, H. et al. The Sequence Alignment/Map format and SAMtools. Bioinformatics 25, 2078–2079 (2009).
Article PubMed PubMed Central Google Scholar
Aitchison, J. The statistical analysis of compositional data. J. R. Stat. Soc.: Ser. B (Methodol.) 44, 139–160 (1982).
Google Scholar
de Bragança Pereira, C. A. Meta-Análise caso a caso usando apenas funções de verossimilhança. Ciência e Natura 36, 52–57 (2014).
Almagro Armenteros, J. J., Sønderby, C. K., Sønderby, S. K., Nielsen, H. & Winther, O. DeepLoc: prediction of protein subcellular localization using deep learning. Bioinformatics 33, 3387–3395 (2017).
Article PubMed Google Scholar
Studer, G. et al. QMEANDisCo—distance constraints applied on model quality estimation. Bioinformatics 36, 1765–1771 (2020).
Article CAS PubMed Google Scholar
Bienert, S. et al. The SWISS-MODEL Repository—new features and functionality. Nucleic Acids Res. 45, D313–D319 (2017).
Article CAS PubMed Google Scholar
Bertoni, M., Kiefer, F., Biasini, M., Bordoli, L. & Schwede, T. Modeling protein quaternary structure of homo-and hetero-oligomers beyond binary interactions by homology. Sci. Rep. 7, 10480 (2017).
Article PubMed PubMed Central Google Scholar
Guex, N., Peitsch, M. C. & Schwede, T. Automated comparative protein structure modeling with SWISS‐MODEL and Swiss‐PdbViewer: A historical perspective. Electrophoresis 30, S162–S173 (2009).
Article PubMed Google Scholar
Imholte, G., Sauteraud, R. & Gottardo, R. Analyzing peptide microarray data with the R pepStat Package. Methods Mol. Biol. 1352, 127–142 (2016).
Article CAS PubMed Google Scholar
Milsted, C. et al. Genome-wide investigation of maize RAD51 binding affinity through phage display. BMC Genomics 23, 199 (2022).
Article CAS PubMed PubMed Central Google Scholar
Rhaiem, R. Ben & Houimel, M. Targeting Leishmania major parasite with peptides derived from a combinatorial phage display library. Acta Trop. 159, 11–19 (2016).
Article CAS PubMed Google Scholar

Download references

Acknowledgements

We acknowledge Dr. Ricardo DeMarco (in memoriam) for invaluable insights and for important input in the PhIP-Seq library design. We thank Dr. R. Alan Wilson, University of York, for invaluable advice on the project. We thank Dr. Vânia G.M. Mattaraia and the technical and veterinary staff at the Central Animal Facility, Butantan Institute, for their expert and careful handling of the animals. We acknowledge Patricia Aoki Miyasato and Dr. Eliana Nakano, Laboratorio de Parasitologia, Instituto Butantan, for maintaining the S. mansoni life cycle. This work was supported by grants from Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) (Grant numbers 2015/06366-2 and 2020/01917-9 to S.V.-A.). D.W.S. received a fellowship from Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Brazil – Finance Code 001 and subsequently from FAPESP (2019/09404-3); D.A.M.-V. was a fellow of CAPES, Code 001; the following are fellows of FAPESP: J.V.M.M. (2018/18117-5), M.M.T. (2019/05464-0), L.M.M.N. (2019/02305-0), I.A.M. (2021/10124-5), and A.S.A.P. (2016/10046-6). S.V.-A. laboratory was also supported by institutional funds from Fundação Butantan; S.V.-A. received an established investigator fellowship award from Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq 306646/2019-6), Brasil. The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.

Author information

André A. R. Teixeira
Present address: Institute for Protein Innovation, Boston, MA, USA

Authors and Affiliations

Laboratório de Ciclo Celular, Instituto Butantan, São Paulo, SP, Brazil
Daisy Woellner-Santos, Ana C. Tahira, João V. M. Malvezzi, Vinicius Mesel, David A. Morales-Vicente, Adriana S. A. Pereira, Murilo S. Amaral & Sergio Verjovski-Almeida
Instituto de Química, Universidade de São Paulo, São Paulo, SP, Brazil
Daisy Woellner-Santos, David A. Morales-Vicente, Isaac A. Matos, Adriana S. A. Pereira, André A. R. Teixeira, Ricardo J. Giordano & Sergio Verjovski-Almeida
Instituto de Matemática e Estatística, Universidade de São Paulo, São Paulo, SP, Brazil
João V. M. Malvezzi & Carlos A. B. Pereira
Laboratório de Desenvolvimento de Vacinas, Instituto Butantan, São Paulo, SP, Brazil
Monalisa M. Trentini, Lázaro M. Marques-Neto, Alex I. Kanno & Luciana C. C. Leite
Instituto de Física de São Carlos, Universidade de São Paulo, São Carlos, SP, Brazil
Ricardo DeMarco

Authors

Daisy Woellner-Santos
View author publications
You can also search for this author in PubMed Google Scholar
Ana C. Tahira
View author publications
You can also search for this author in PubMed Google Scholar
João V. M. Malvezzi
View author publications
You can also search for this author in PubMed Google Scholar
Vinicius Mesel
View author publications
You can also search for this author in PubMed Google Scholar
David A. Morales-Vicente
View author publications
You can also search for this author in PubMed Google Scholar
Monalisa M. Trentini
View author publications
You can also search for this author in PubMed Google Scholar
Lázaro M. Marques-Neto
View author publications
You can also search for this author in PubMed Google Scholar
Isaac A. Matos
View author publications
You can also search for this author in PubMed Google Scholar
Alex I. Kanno
View author publications
You can also search for this author in PubMed Google Scholar
Adriana S. A. Pereira
View author publications
You can also search for this author in PubMed Google Scholar
André A. R. Teixeira
View author publications
You can also search for this author in PubMed Google Scholar
Ricardo J. Giordano
View author publications
You can also search for this author in PubMed Google Scholar
Luciana C. C. Leite
View author publications
You can also search for this author in PubMed Google Scholar
Carlos A. B. Pereira
View author publications
You can also search for this author in PubMed Google Scholar
Ricardo DeMarco
View author publications
You can also search for this author in PubMed Google Scholar
Murilo S. Amaral
View author publications
You can also search for this author in PubMed Google Scholar
Sergio Verjovski-Almeida
View author publications
You can also search for this author in PubMed Google Scholar

Contributions

M.S.A. and S.V.-A. conceived of the project. D.W.-S., L.C.C.L., M.S.A., and S.V.-A. conceived of the experiments. D.W.-S., V.M., R.DM., M.S.A., and S.V.-A. designed the experiments. D.W.-S., M.M.T., L.M.M.N., A.I.K., A.S.A.P., and M.S.A. conducted experiments. A.C.T. and C.A.B.P. designed data analysis. D.W.-S., A.C.T., J.V.M.M., D.A.M.-V., C.A.B.P., I.A.M., and S.V.-A. performed data analysis. R.J.G., A.A.R.T., L.C.C.L., R.DM., and S.V.-A. provided resources. D.W.-S., A.C.T. and S.V.-A. wrote the manuscript. A.A.R.T. provided substantive revisions. M.S.A., A.C.T., S.V.-A. revised and edited the manuscript. S.V.-A. coordinated the study. All authors approve of the submitted manuscript.

Corresponding author

Correspondence to Sergio Verjovski-Almeida.

Ethics declarations

Competing interests

D.W.-S., L.C.C.L., R.DM., M.S.A. and S.V.-A. have competing interests on a patent application that is pending.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplemental Material

Reporting Summary

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Cite this article

Woellner-Santos, D., Tahira, A.C., Malvezzi, J.V.M. et al. Schistosoma mansoni vaccine candidates identified by unbiased phage display screening in self-cured rhesus macaques. npj Vaccines 9, 5 (2024). https://doi.org/10.1038/s41541-023-00803-x

Download citation

Received: 03 August 2023
Accepted: 30 November 2023
Published: 04 January 2024
DOI: https://doi.org/10.1038/s41541-023-00803-x