Prueba de paternidad también en nematodos: otro viajero inesperado / Proof of paternity also nematodes: another unexpected traveller

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La RACVE, una academia hermana / RACVE, a fellow Academy

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A Fasciola hepatica-derived fatty acid binding protein induces protection against schistosomiasis caused by Schistosoma bovis using the adjuvant adaptation (ADAD) vaccination system.

Several efforts have been made to identify anti-schistosomiasis vaccine candidates and new vaccination systems. The fatty acid binding protein (FAPB) has been shown to induce a high level of protection in trematode infection. The adjuvant adaptation (ADAD) vaccination system was used in this study, including recombinant FABP, a natural immunomodulator and saponins. Mice immunised with the ADAD system were able to up-regulate proinflammatory cytokines (IL-1 and IL-6) and induce high IgG2a levels. Moreover, there was a significant reduction in worm burden, egg liver and hepatic lesion in vaccinated mice in two independent experiments involving Schistosoma bovis infected mice. The foregoing data shows that ADAD system using FABP provide a good alternative for triggering an effective immune response against animal schistosomiasis.

Antiprotozoan lead discovery by aligning dry and wet screening: prediction, synthesis, and biological assay of novel quinoxalinones.

Protozoan parasites have been one of the most significant public health problems for centuries and several human infections caused by them have massive global impact. Most of the current drugs used to treat these illnesses have been used for decades and have many limitations such as the emergence of drug resistance, severe side-effects, low-to-medium drug efficacy, administration routes, cost, etc. These drugs have been largely neglected as models for drug development because they are majorly used in countries with limited resources and as a consequence with scarce marketing possibilities. Nowadays, there is a pressing need to identify and develop new drug-based antiprotozoan therapies. In an effort to overcome this problem, the main purpose of this study is to develop a QSARs-based ensemble classifier for antiprotozoan drug-like entities from a heterogeneous compounds collection. Here, we use some of the TOMOCOMD-CARDD molecular descriptors and linear discriminant analysis (LDA) to derive individual linear classification functions in order to discriminate between antiprotozoan and non-antiprotozoan compounds as a way to enable the computational screening of virtual combinatorial datasets and/or drugs already approved. Firstly, we construct a wide-spectrum benchmark database comprising of 680 organic chemicals with great structural variability (254 of them antiprotozoan agents and 426 to drugs having other clinical uses). This series of compounds was processed by a k-means cluster analysis in order to design training and predicting sets. In total, seven discriminant functions were obtained, by using the whole set of atom-based linear indices. All the LDA-based QSAR models show accuracies above 85% in the training set and values of Matthews correlation coefficients (C) vary from 0.70 to 0.86. The external validation set shows rather-good global classifications of around 80% (92.05% for best equation). Later, we developed a multi-agent QSAR classification system, in which the individual QSAR outputs are the inputs of the aforementioned fusion approach. Finally, the fusion model was used for the identification of a novel generation of lead-like antiprotozoan compounds by using ligand-based virtual screening of 'available' small molecules (with synthetic feasibility) in our 'in-house' library. A new molecular subsystem (quinoxalinones) was then theoretically selected as a promising lead series, and its derivatives subsequently synthesized, structurally characterized, and experimentally assayed by using in vitro screening that took into consideration a battery of five parasite-based assays. The chemicals 11(12) and 16 are the most active (hits) against apicomplexa (sporozoa) and mastigophora (flagellata) subphylum parasites, respectively. Both compounds depicted good activity in every protozoan in vitro panel and they did not show unspecific cytotoxicity on the host cells. The described technical framework seems to be a promising QSAR-classifier tool for the molecular discovery and development of novel classes of broad-antiprotozoan-spectrum drugs, which may meet the dual challenges posed by drug-resistant parasites and the rapid progression of protozoan illnesses.

Adaptive immune stimulation is required to obtain high protection with fatty acid binding protein vaccine candidate against Fasciola hepatica in Balb/C mice.

Fascioliasis is a parasitic disease that mainly affects cattle and sheep, causing significant economic losses with a great impact in developing countries. Human fascioliasis is becoming more important with the high endemicity in some countries of the world. Previous studies have shown the importance of Fasciola hepatica fatty acid binding proteins (FABP) as protective molecules against fascioliasis in various animal models including mice, rabbits, and sheep. Our studies have shown the protective efficacy of recombinant FABP (rFh15) when the protein is formulated in the adjuvant adaptation system (ADAD), using either natural or synthetic immunomodulators. The ADAD system is most effective when it is used 5 days before each dose of specific vaccine antigen. The results showed survival rates of up to 50% with less severe hepatic lesions and high levels of IgG2a or IFNγ in immunized mice, using the ADAD system, compared to survival rates of 13% with no hepatic lesion reduction and high levels of IgG1 and IL-4 in those mice immunized with the simplified mode (ADADs).

Synthesis and antimalarial activity of new heterocyclic hybrids based on chloroquine and thiazolidinone scaffolds.

A series of new 21 chloroquine heterocyclic hybrids containing either benzylamino fragment or N-(aminoalkyl)thiazolidin-4-one moiety were synthesized and screened for their antimalarial activity against chloroquine (CQ)-sensitive 3D7 and multidrug-resistance Dd2 strains of Plasmodium falciparum. Although no compounds more active than CQ against 3D7 was found; against Dd2 strain, six compounds, four of them with benzylamino fragment, showed an excellent activity, up to 3-fold more active than CQ. Non specific cytotoxicity on J774 macrophages was observed in some compounds whereas only two of them showed liver toxicity on HepG2 cells. In addition, all active compounds inhibited the ferriprotoporphyrin IX biocrystalization process in concentrations around to CQ. In vivo preliminary results have shown that at least two compounds are as active as CQ against Plasmodium berghei ANKA.

New 1-aryl-3-substituted propanol derivatives as antimalarial agents.

This paper describes the synthesis and in vitro antimalarial activity against a P. falciparum 3D7 strain of some new 1-aryl-3-substituted propanol derivatives. Twelve of the tested compounds showed an IC(50) lower than 1 microM. These compounds were also tested for cytotoxicity in murine J774 macrophages. The most active compounds were evaluated for in vivo activity against P. berghei in a 4-day suppressive test. Compound 12 inhibited more than 50% of parasite growth at a dose of 50 mg/kg/day. In addition, an FBIT test was performed to measure the ability to inhibit ferriprotoporphyrin biocrystallization. This data indicates that 1-aryl-3-substituted propanol derivatives hold promise as a new therapeutic option for the treatment of malaria.

Synthesis and evaluation of 1,1'-hydrocarbylenebis(indazol-3-ols) as potential antimalarial drugs.

Bis(indazol-3-ol) derivatives (5, 30-38) were prepared by alkylation of 3-alkoxyindazoles with alpha,omega-dibromides, followed by removal of the O-protecting groups. These compounds were subsequently evaluated as inhibitors of biocrystallization of ferriprotoporphyrin IX (heme) to hemozoin, a Plasmodium detoxification specific process. Most bis(5-nitroindazol-3-ols) were good inhibitors, however, a denitro analogue (38), the intermediate bis(3-alkoxyindazoles) (15-29) as well as bis(indazolin-3-ones) (39-42) were not active, showing the importance of the NO(2) and OH groups in the inhibition process.

Identification of Fasciola hepatica recombinant 15-kDa fatty acid-binding protein T-cell epitopes that protect against experimental fascioliasis in rabbits and mice.

Vaccination with fatty acid-binding proteins (FABPs) from Fasciola hepatica has been shown to confer significant levels of protection against challenge infection in mice, rabbits, and sheep. A recombinant 15-kDa FABP (rFh15) has been purified and also shown to be an immunoprotective molecule. From the rFh15 molecule sequence 2, 12- and 10-mer putative T-cell epitopes were identified, the first an Fh15Ta of amino acid sequence IKMVSSLKTKIT, and the second an Fh15Tb of amino acid sequence VKAVTTLLKA. The synthesized oligonucleotides were cloned individually into a pGEX-2TK expression vector. The overexpressed fusion protein was affinity purified using glutathione S-transferase (GST) by competitive elution with excess reduced glutathione. These GST fusion proteins were emulsified in Freund adjuvant for rabbit immunizations or further purified as peptides after digestion with thrombin. The purified 12- and 10-mer peptides were either emulsified in Freund adjuvant for immunizations in rabbits or used in an adjuvant-adaptation (ADAD) system, followed by challenge infection with F. hepatica metacercariae in mice and rabbits. In vaccinated-challenged rabbits, the highest levels of protection were found in those treated with GST-epitopes (Fh15Ta 48.2% and Fh15Tb 59.1% reduction, respectively), as compared to GST-immunized controls. Moreover, those immunized with Fh15Ta had higher (84%) numbers of immature flukes as compared with Fh15Tb (41%) or GST alone (64%). The rabbits immunized with the putative T-cell epitopes in adjuvant had a 13% reduction in flukes in those with Fh15Ta and also were highest with immature flukes (46%). In vaccinated mice challenged with a lethal number of metacercariae, both CD-1 and BALB/c mice treated with complete ADAD-GST-Ta had the highest (40%) survival rates of all groups by 47 days postinfection. Thus the Fh15Ta and Fh15Tb polypeptide epitopes warrant further study as a potential vaccine against F. hepatica. Antibody isotype studies in mice revealed a mixed Thl/Th2 response to vaccination.

Immunomodulation of the response to excretory/secretory antigens of Fasciola hepatica by Anapsos in Balb/C mice and rat alveolar macrophages.

It is known that excretory/secretory antigens of Fasciola hepatica (ESFh) trigger a Th2-like immune response. Anapsos (A) is an aqueous hydrosoluble extract obtained from the rhizomes of the fern Polypodium leucotomos that has shown immunomodulator effects in some parasitic infections and immunological disorders. In this work we assess the effect of Anapsos and ESFh and Quillaja saponaria extract (Qs) on BALB/c mice and rat alveolar macrophages. Anapsos modulates the response of mice immunized with ESFh, decreasing IgG antibodies in A+ESFh- and A+Qs+ESFh-treated mice and triggering high levels of gammaIFN in spleen cell culture in comparison with ESFh- and Qs + ESFh--treated groups. Moreover, Anapsos showed statistically significant inhibitory effects on the nitrite production by rat alveolar macrophages prestimulated with lipopolysaccharide (LPS) as well as ESFh antigen in comparison with macrophages stimulated only with LPS. The application of ESFh and Anapsos combined avoids this inhibitory effect. Thus, Anapsos modulates the immune response against ESFh in naive mice and on the nitrite production in prestimulated rat aveolar macrophages.

Trichinella: differing effects of antigens from encapsulated and non-encapsulated species on in vitro nitric oxide production.

Trichinellosis is a cosmopolitan zoonotic disease affecting a wide variety of animals, including man. Non-encapsulated and encapsulated species diverge with respect to their developmental strategies. Little is known at the molecular level about parasite-derived mediators responsible for host muscle cell transformation occurring during trichinellosis. In this context, host-parasite relationships in Trichinella-infected animals could be related to different host-immune and cell mediators, e.g. nitric oxide (NO). Here, we investigate the stimulatory/inhibitory role of L1 antigens from four encapsulated (T. spiralis, T. britovi, T. nelsoni and T. nativa) and one non-encapsulated (T. pseudospiralis) Trichinella species on NO production from rat macrophages in vitro. Our results demonstrate that encapsulated and non-encapsulated Trichinella species differ in their capacity to stimulate the secretion of NO from host macrophages. Biological significance of these differences should be further assessed in the available experimental models.

Synthesis and evaluation of some lipidic aminoalcohols and diamines as immunomodulators.

Lymphoproliferation inhibition and cytotoxicity of a number of lipidic aminoacids, aminoalcohols and diamines were evaluated as a preliminary screening to select potential immunomodulators. The four most potent/less toxic compounds were submitted to delayed hypersensibility (DTH) assays to define the best to be evaluated further Graft-vs-Host, NO production and other immunoevaluation (CD4(+), CD45, CD8, CD11b, I-Ek, and NK cells) assays, to establish their immunomodulation potential for being further considered as auxiliary agents for vaccination against some parasitic infections. Compounds 5d, 6d, 6f, 7a, and 9a, fairly inhibited the lymphoproliferation (71.6-79.5%, at 3.2-2.4 nM), while the aminoalcohol derivative 6f and the diamine 7a gave the most promising results in the DTH assays. Diamine derivative 8b induced nitrite production on normal macrophages, whereas compounds 6f and 7a induced nitrite production on LPS pre-stimulated macrophages. These two last compounds have been selected to follow in vivo vaccination assays.

Predicting antitrichomonal activity: a computational screening using atom-based bilinear indices and experimental proofs.

Existing Trichomonas vaginalis therapies are out of reach for most trichomoniasis people in developing countries and, where available, they are limited by their toxicity (mainly in pregnant women) and their cost. New antitrichomonal agents are needed to combat emerging metronidazole-resistant trichomoniasis and reduce the side effects associated with currently available drugs. Toward this end, atom-based bilinear indices, a new TOMOCOMD-CARDD molecular descriptor, and linear discriminant analysis (LDA) were used to discover novel, potent, and non-toxic lead trichomonacidal chemicals. Two discriminant functions were obtained with the use of non-stochastic and stochastic atom-type bilinear indices for heteroatoms and H-bonding of heteroatoms. These atomic-level molecular descriptors were calculated using a weighting scheme that includes four atomic labels, namely atomic masses, van der Waals volumes, atomic polarizabilities, and atomic electronegativities in Pauling scale. The obtained LDA-based QSAR models, using non-stochastic and stochastic indices, were able to classify correctly 94.51% (90.63%) and 93.41% (93.75%) of the chemicals in training (test) sets, respectively. They showed large Matthews' correlation coefficients (C); 0.89 (0.79) and 0.87 (0.85), for the training (test) sets, correspondingly. The result of predictions on the 15% full-out cross-validation test also evidenced the robustness and predictive power of the obtained models. In addition, canonical regression analyses corroborated the statistical quality of these models (R(can) of 0.749 and of 0.845, correspondingly); they were also used to compute biological activity canonical scores for each compound. On the other hand, a close inspection of the molecular descriptors included in both equations showed that several of these molecular fingerprints are strongly interrelated with each other. Therefore, these models were orthogonalized using the Randic orthogonalization procedure. These classification functions were then applied to find new lead antitrichomonal agents and six compounds were selected as possible active compounds by computational screening. The designed compounds were synthesized and tested for in vitro activity against T. vaginalis. Out of the six compounds that were designed, and synthesized, three molecules (chemicals VA5-5a, VA5-5c, and VA5-12b) showed high to moderate cytocidal activity at the concentration of 10 microg/ml, other two compounds (VA5-8pre and VA5-8) showed high cytocidal and cytostatic activity at the concentration of 100 microg/ml and 10 microg/ml, correspondingly, and the remaining chemical (compound VA5-5e) was inactive at these assayed concentrations. Nonetheless, these compounds possess structural features not seen in known trichomonacidal compounds and thus can serve as excellent leads for further optimization of antitrichomonal activity. The LDA-based QSAR models presented here can be considered as a computer-assisted system that could potentially significantly reduce the number of synthesized and tested compounds and increase the chance of finding new chemical entities with antitrichomonal activity.

Non-stochastic quadratic fingerprints and LDA-based QSAR models in hit and lead generation through virtual screening: theoretical and experimental assessment of a promising method for the discovery of new antimalarial compounds.

In order to explore the ability of non-stochastic quadratic indices to encode chemical information in antimalarials, four quantitative models for the discrimination of compounds having this property were generated and statistically compared. Accuracies of 90.2% and 83.3% for the training and test sets, respectively, were observed for the best of all the models, which included non-stochastic quadratic fingerprints weighted with Pauling electronegativities. With a comparative purpose and as a second validation experiment, an exercise of virtual screening of 65 already-reported antimalarials was carried out. Finally, 17 new compounds were classified as either active/inactive ones and experimentally evaluated for their potential antimalarial properties on the ferriprotoporphyrin (FP) IX biocrystallization inhibition test (FBIT). The theoretical predictions were in agreement with the experimental results. In the assayed test compound C5 resulted more active than chloroquine. The current result illustrates the usefulness of the TOMOCOMD-CARDD strategy in rational antimalarial-drug design, at the time that it introduces a new family of organic compounds as starting point for the development of promising antimalarials.

A novel non-stochastic quadratic fingerprints-based approach for the 'in silico' discovery of new antitrypanosomal compounds.

A non-stochastic quadratic fingerprints-based approach is introduced to classify and design, in a rational way, new antitrypanosomal compounds. A data set of 153 organic chemicals, 62 with antitrypanosomal activity and 91 having other clinical uses, was processed by a k-means cluster analysis to design training and predicting data sets. Afterwards, a linear classification function was derived allowing the discrimination between active and inactive compounds. The model classifies correctly more than 93% of chemicals in both training and external prediction groups. The predictability of this discriminant function was also assessed by a leave-group-out experiment, in which 10% of the compounds were removed at random at each time and their activity predicted a posteriori. In addition, a comparison with models generated using four well-known families of 2D molecular descriptors was carried out. As an experiment of virtual lead generation, the present TOMOCOMD approach was finally satisfactorily applied on the virtual evaluation of 10 already synthesized compounds. The in vitro antitrypanosomal activity of this series against epimastigotes forms of Trypanosomal cruzi was assayed. The model was able to predict correctly the behaviour of these compounds in 90% of the cases.

A linear discrimination analysis based virtual screening of trichomonacidal lead-like compounds: outcomes of in silico studies supported by experimental results.

A computational (virtual) screening test to identify potential trichomonacidals has been developed. Molecular structures of trichomonacidal and non-trichomonacidal drugs were represented using stochastic and non-stochastic atom-based quadratic indices and a linear discrimination analysis (LDA) was trained to classify molecules regarding their antiprotozoan activity. Validation tests revealed that our LDA-QSAR models recognize at least 88.24% of trichomonacidal lead-like compounds and suggest using this methodology in virtual screening protocols. These classification functions were then applied to find new lead antitrichomonal compounds. In this connection, the biological assays of eight compounds, selected by computational screening using the present models, give good results (87.50% of good classification). In general, most of the compounds showed high activity against Trichomonas vaginalis at the concentration of 100 microg/ml and low cytotoxicity to this concentration. In particular, two heterocyclic derivatives (VA7-67 and VA7-69) maintained their efficacy at 10 microg/ml with an important trichomonacidal activity (100.00% of reduction), but it is remarkable that the compound VA7-67 did not show cytotoxic effects in macrophage cultivations. This result opens a door to a virtual study considering a higher variability of the structural core already evaluated, as well as of other chemicals not included in this study.

A computer-based approach to the rational discovery of new trichomonacidal drugs by atom-type linear indices.

Computational approaches are developed to design or rationally select, from structural databases, new lead trichomonacidal compounds. First, a data set of 111 compounds was split (design) into training and predicting series using hierarchical and partitional cluster analyses. Later, two discriminant functions were derived with the use of non-stochastic and stochastic atom-type linear indices. The obtained LDA (linear discrimination analysis)-based QSAR (quantitative structure-activity relationship) models, using non-stochastic and stochastic descriptors were able to classify correctly 95.56% (90.48%) and 91.11% (85.71%) of the compounds in training (test) sets, respectively. The result of predictions on the 10% full-out cross-validation test also evidenced the quality (robustness, stability and predictive power) of the obtained models. These models were orthogonalized using the Randic orthogonalization procedure. Afterwards, a simulation experiment of virtual screening was conducted to test the possibilities of the classification models developed here in detecting antitrichomonal chemicals of diverse chemical structures. In this sense, the 100.00% and 77.77% of the screened compounds were detected by the LDA-based QSAR models (Eq. 13 and Eq. 14, correspondingly) as trichomonacidal. Finally, new lead trichomonacidals were discovered by prediction of their antirichomonal activity with obtained models. The most of tested chemicals exhibit the predicted antitrichomonal effect in the performed ligand-based virtual screening, yielding an accuracy of the 90.48% (19/21). These results support a role for TOMOCOMD-CARDD descriptors in the biosilico discovery of new compounds.