Peptidomic analysis of the host-defense peptides in skin secretions of the Trinidadian leaf frog Phyllomedusa trinitatis (Phyllomedusidae)

Network Science and Group Fusion Similarity-Based Searching to Explore the Chemical Space of Antiparasitic Peptides

Antimicrobial peptides (AMPs) have appeared as promising compounds to treat a wide range of diseases. Their clinical potentialities reside in the wide range of mechanisms they can use for both killing microbes and modulating immune responses. However, the hugeness of the AMPs' chemical space (AMPCS), represented by more than 1065 unique sequences, has represented a big challenge for the discovery of new promising therapeutic peptides and for the identification of common structural motifs. Here, we introduce network science and a similarity searching approach to discover new promising AMPs, specifically antiparasitic peptides (APPs). We exploited the network-based representation of APPs' chemical space (APPCS) to retrieve valuable information by using three network types: chemical space (CSN), half-space proximal (HSPN), and metadata (METN). Some centrality measures were applied to identify in each network the most important and nonredundant peptides. Then, these central peptides were considered as queries (Qs) in group fusion similarity-based searches against a comprehensive collection of known AMPs, stored in the graph database StarPepDB, to propose new potential APPs. The performance of the resulting multiquery similarity-based search models (mQSSMs) was evaluated in five benchmarking data sets of APP/non-APPs. The predictions performed by the best mQSSM showed a strong-to-very-strong performance since their external Matthews correlation coefficient (MCC) values ranged from 0.834 to 0.965. Outstanding MCC values (>0.85) were attained by the mQSSM with 219 Qs from both networks CSN and HSPN with 0.5 as similarity threshold in external data sets. Then, the performance of our best mQSSM was compared with the APPs prediction servers AMPDiscover and AMPFun. The proposed model showed its relevance by outperforming state-of-the-art machine learning models to predict APPs. After applying the best mQSSM and additional filters on the non-APP space from StarPepDB, 95 AMPs were repurposed as potential APP hits. Due to the high sequence diversity of these peptides, different computational approaches were applied to identify relevant motifs for searching and designing new APPs. Lastly, we identified 11 promising APP lead candidates by using our best mQSSMs together with diversity-based network analyses, and 24 web servers for activity/toxicity and drug-like properties. These results support that network-based similarity searches can be an effective and reliable strategy to identify APPs. The proposed models and pipeline are freely available through the StarPep toolbox software at http://mobiosd-hub.com/starpep.

Cruzioseptins, antibacterial peptides from Cruziohyla calcarifer skin, as promising leishmanicidal agents

Screenings of natural products have significantly contributed to the discovery of novel leishmanicidal agents. In this study, three known cruzioseptins-antibacterial peptides from Cruziohyla calcarifer skin-were synthesized and evaluated against promastigotes and amastigotes stages of Leishmania (L.) amazonensis and L. (V.) braziliensis. EC50 ranged from 9.17 to 74.82 μM, being cruzioseptin-1 the most active and selective compound, with selectivity index > 10 for both promastigotes and amastigotes of L. (V.) braziliensis. In vitro infections incubated with cruzioseptins at 50 μM showed up to ∼86% reduction in the amastigote number. Cruzioseptins were able to destabilize the parasite's cell membrane, allowing the incorporation of a DNA-fluorescent dye. Our data also demonstrated that hydrophobicity and charge appear to be advantageous features for enhancing parasiticidal activity. Antimicrobial cruzioseptins are suitable candidates and alternative molecules that deserve further in vivo investigation focusing on the development of novel antileishmanial therapies.

In vitro activities of a novel antimicrobial peptide isolated from phyllomedusa tomopterna

Because of the abuse of antibiotics, clinical strains began to become more drug-resistant. Their evolution has long surpassed the speed of us looking for a new generation of antibacterial drugs. Therefore, it is urgent to discover a new antimicrobial substance to alleviate the pressure on conventional antibiotics. Antimicrobial peptides (AMP) are known for their significant activity towards a broad spectrum of bacteria, protozoa, yeasts, filamentous fungi. Here, we report a novel AMP named Dermaseptin-TO. Results demonstrate that Dermaseptin-TO can quickly exhibit antimicrobial activity to bacteria and yeast in a dose-related way. The highest minimum inhibit concentration (MIC) was observed in the E.faecalis group (128 μM). Also, haemolytic outcomes showed no more than 10.65% of red blood cells were affected when in the same concentrations or below. Besides, Dermaseptin-TO also showed anticancer activity at a higher concentration. From the above, evidence proved that Phyllomedusine frog skin secretion is still a rich source that contains novel AMP and Dermaseptin-TO is competent to become an antimicrobial agent, its anticancer activity may broaden the way in basic cancer research. Also, following the same templates in molecular cloning may acquire new AMP classes with potent antimicrobial effects that could widen drug design in new anti-infective drugs.

Peptidomic Analysis of Skin Secretions of the Caribbean Frogs Leptodactylus insularum and Leptodactylus nesiotus (Leptodactylidae) Identifies an Ocellatin with Broad Spectrum Antimicrobial Activity

Ocellatins are peptides produced in the skins of frogs belonging to the genus Leptodactylus that generally display weak antimicrobial activity against Gram-negative bacteria only. Peptidomic analysis of norepinephrine-stimulated skin secretions from Leptodactylus insularum Barbour 1906 and Leptodactylus nesiotus Heyer 1994, collected in the Icacos Peninsula, Trinidad, led to the purification and structural characterization of five ocellatin-related peptides from L. insularum (ocellatin-1I together with its (1–16) fragment, ocellatin-2I and its (1–16) fragment, and ocellatin-3I) and four ocellatins from L. nesiotus (ocellatin-1N, -2N, -3N, and -4N). While ocellatins-1I, -2I, and -1N showed a typically low antimicrobial potency against Gram-negative bacteria, ocellatin-3N (GIFDVLKNLAKGVITSLAS.NH₂) was active against an antibiotic-resistant strain of Klebsiella pneumoniae and reference strains of Escherichia coli, K. pneumoniae, Pseudomonas aeruginosa, and Salmonella typhimurium (minimum inhibitory concentrations (MICs) in the range 31.25–62.5 μM), and was the only peptide active against Gram-positive Staphylococcus aureus (MIC = 31.25 μM) and Enterococcus faecium (MIC = 62.5 μM). The therapeutic potential of ocellatin-3N is limited by its moderate hemolytic activity (LC₅₀ = 98 μM) against mouse erythrocytes. The peptide represents a template for the design of long-acting, non-toxic, and broad-spectrum antimicrobial agents for targeting multidrug-resistant pathogens.

A Novel Dermaseptin Isolated from the Skin Secretion of Phyllomedusa tarsius and Its Cationicity-Enhanced Analogue Exhibiting Effective Antimicrobial and Anti-Proliferative Activities

A novel dermaseptin peptide, dermaseptin-PT9 (DPT9), was isolated and identified from Phyllomedusa tarsius by the combination of molecular cloning and LC-MS analysis. Chemically synthesised DPT9 was broadly effective against the tested microorganisms through the disruption of cell membranes and showed weak haemolytic activity towards horse erythrocytes. It also exhibited anti-proliferative effect against various human cancer cells. Moreover, an analogue with enhanced cationicity, K^{8, 23}-DPT9, in which Asp⁸ and Glu²³ were substituted by lysine residues, had a markedly increased antimicrobial effect against all tested microorganisms and disrupted microbial cell membranes. This analogue also showed no haemolysis at its effective antimicrobial concentrations. In addition, K^{8, 23}-DPT9 displayed an enhanced anti-proliferative effect against cancer cells, while displayed weak activity against the normal human cell line, HMEC-1.

Immunomodulatory, insulinotropic, and cytotoxic activities of phylloseptins and plasticin-TR from the Trinidanian leaf frog Phyllomedusa trinitatis

The aim of the study was to determine the in vitro immunomodulatory, cytotoxic, and insulin-releasing activities of seven phylloseptin-TR peptides and plasticin-TR, first isolated from the frog Phyllomedusa trinitatis. The most cationic peptides, phylloseptin-1.1TR and phylloseptin-3.1TR, showed greatest cytotoxic potency against A549, MDA-MB231, and HT-29 human tumor-derived cells and against mouse erythrocytes. Phylloseptin-4TR was the most hydrophobic and the most effective peptide at inhibiting production of the proinflammatory cytokines TNF-α and IL-1β by mouse peritoneal cells but was without effect on production of the antiinflammatory cytokine IL-10. Phylloseptin-2.1TR and phylloseptin-3.3TR were the most effective at stimulating the production of IL-10. The noncytotoxic peptide, plasticin-TR, inhibited production of TNF-α and IL-1β but was without effect on IL-10 production. The results of CD spectroscopy suggest that the different properties of plasticin-TR compared with the immunostimulatory activities of the previously characterized plasticin-L1 from Leptodactylus laticeps may arise from greater ability of plasticin-TR to oligomerize and adopt a stable helical conformation in a membrane-mimetic environment. All peptides stimulated release of insulin from BRIN-BD11 rat clonal β cells with phylloseptin-3.2TR being the most potent and effective and phylloseptin-2.1TR the least effective suggesting that insulinotropic potency correlates inversely with helicity. The study has provided insight into structure-activity relationships among the phylloseptins. The combination of immunomodulatory and insulinotropic activities together with low cytotoxicity suggests that phylloseptin-3.3TR and plasticin-TR may represent templates for the development of agents for use in antiinflammatory and type 2 diabetes therapies.