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Abstract: Self-assembling peptides (SAPs) are fully defined nanobiomaterials offering unprecedented opportunities to control nanostructure and chemical attributes to investigate and manipulate cellular signals. To investigate the influence of chemical and morphological characteristics on inflammatory signaling in native immunity, we designed five β-sheet SAPs: EFEFKFEFK (EF8), YEFEFKFEFK (YEF8), EFEFKFEFKY (EF8Y), YEFEFKFEFKY (YEF8Y), and EYEFKFEFK (EYF8) (F: phenylalanine; E: glutamic acid; K: lysine, Y: tyrosine). The position of tyrosine in the peptide sequence dictated the self-assembly into nanostructures, with all SAPs self-assembling into thin constituent nanofibers with d ≈ 3.8 ± 0.4 nm, and sequences YEF8 and EF8 showing a propensity for associative bundling. These distinct SAPs induced contrasting inflammatory responses of monocytic model THP-1 cells-derived macrophages (MΦs). Presence of soluble EF8 nanofibers (at 2 mM) induced an anti-inflammatory response and polarization toward an M2 state, whereas YEF8 (at 2 mM) displayed a tendency for inducing a pro-inflammatory response and polarization toward an M1 state. EF8Y, YEF8Y, and EYF8 SAPs did not induce an inflammatory response in our models. These results were validated using peripheral blood mononuclear cells (PBMCs)-derived MΦs from human donors, confirming the critical role of EF8 and YEF8 SAPs as possible orchestrators of the repair of tissues or inducers of pro-inflammatory state, respectively. The same MΦs polarization responses from THP-1-derived MΦs cultured on 20 mM hydrogels were obtained. These findings will facilitate the utilization of this family of SAPs as immunomodulatory nanobiomaterials potentially changing the course of inflammation during the progression of various diseases.

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Abstract: Self-assembling peptides remain persistently interesting objects for building nanostructures and further assemble into macroscopic structures, e.g. hydrogels, at sufficiently high concentrations. The modulation of self-assembling β-sheet-forming peptide sequences, with a selection from the full library of amino acids, offers unique possibility for rational tuning of the resulting nanostructured morphology and topology of the formed hydrogel networks. In the present work, we explored how a known β-sheet-disassembling amino acid, proline (P), affects the self-assembly and gelation properties of amphipathic peptides. For this purpose, we modified the backbone of a known β-sheet-forming peptide, FEFKFEFK (F8, F = phenylalanine, E = glutamic acid, and K = lysine), with P to form three sequences: FEFKPEFK (FP), FEFKPEFKF (KPE) and FEFEPKFKF (EPK). The replacement of F by P in the hydrophobic face resulted in the loss of the extended β-sheet conformation of the FP peptide and no gelation at concentration as high as 100 mg mL−1, compared to typical 5 mg mL−1 concentration corresponding to F8. However, by retaining four hydrophobic phenylalanine amino acids in the sequences, hydrogels containing a partial β-sheet structure were still formed at 30 mg mL−1 for KPE (pH 4–10) and EPK (pH 2–5). TEM, AFM, small-angle X-ray scattering (SAXS) and wide-angle X-ray scattering (WAXS) revealed that KPE and EPK peptides self-assemble into nanoribbons and twisted nanofibers, respectively. Molecular dynamics confirmed that the single amino acid replacement of F by P prevented the assembly of the FP peptide with respect to the stable β-sheet-forming F8 variant. Moreover, additional prolongation by F in the KPE variant and shuffling of the polar amino acid sequence in the EPK peptide supported aggregation capabilities of both variants in forming distinct shapes of individual aggregates. Although the overall number of amino acids is the same in both KPE and EPK, their shifted charge density (i.e., the chemical environment in which ionic groups reside) drives self-assembly into distinct nanostructures. The investigated structural changes can contribute to new material designs for biomedical applications and provide better understanding in the area of protein folding.

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Abstract: A library of composite polymer networks (CPNs) were formed by combining Pluronic F127, as the primary gelator, with a range of di-acrylate functionalised PEG polymers, which tune the rheological properties and provide UV crosslinkability. A coarse-grained sol–gel room temperature phase diagram was constructed for the CPN library, which identifies PEG-dependent disruption of micelles as leading to liquefication. Small angle X-ray scattering and rheological measurements provide detailed insight into; (i) micelle-micelle ordering; (ii) micelle-micelle disruption, and; (iii) acrylate-micelle disruption; with contributions that depend on composition, including weak PEG chain length and end group effects. The influence of composition on 3D extrusion printability through modulation of the cohesive/hydrophobic interactions was assessed. It was found that only micelle content provides consistent changes in printing fidelity, controlled largely by printing conditions (pressure and feed rate). Finally, the hydrogels were shown to be UV photo-crosslinkable, which further improves fidelity and structural integrity, and usefully reduces the mesh size. Our results provide a guide for design of 3D-printable CPN inks for future biomedical applications.

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Abstract: Topographical cues on materials can manipulate cellular fate, particularly for neural cells that respond well to such cues. Utilizing biomaterial surfaces with topographical features can effectively influence neuronal differentiation and promote neurite outgrowth. This is crucial for improving the regeneration of damaged neural tissue after injury. Here, we utilized groove patterns to create neural conduits that promote neural differentiation and axonal growth. We investigated the differentiation of human neural stem cells (NSCs) on silicon dioxide groove patterns with varying height-to-width/spacing ratios. We hypothesize that NSCs can sense the microgrooves with nanoscale depth on different aspect ratio substrates and exhibit different morphologies and differentiation fate. A comprehensive approach was employed, analyzing cell morphology, neurite length, and cell-specific markers. These aspects provided insights into the behavior of the investigated NSCs and their response to the topographical cues. Three groove-pattern models were designed with varying height-to-width/spacing ratios of 80, 42, and 30 for groove pattern widths of 1 μm, 5 μm, and 10 μm and nanoheights of 80 nm, 210 nm, and 280 nm. Smaller groove patterns led to longer neurites and more effective differentiation towards neurons, whereas larger patterns promoted multidimensional differentiation towards both neurons and glia. We transferred these cues onto patterned polycaprolactone (PCL) and PCL-graphene oxide (PCL-GO) composite ‘stamps’ using simple soft lithography and reproducible extrusion 3D printing methods. The patterned scaffolds elicited a response from NSCs comparable to that of silicon dioxide groove patterns. The smallest pattern stimulated the highest neurite outgrowth, while the middle-sized grooves of PCL-GO induced effective synaptogenesis. We demonstrated the potential for such structures to be wrapped into tubes and used as grafts for peripheral nerve regeneration. Grooved PCL and PCL-GO conduits could be a promising alternative to nerve grafting.

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Abstract: Bioinspired de novo self-assembling peptides have been widely used for the development of soft biomaterials for a wide variety of biomedical and pharmaceutical applications, such as cell scaffolding for tissue engineering1, controlled and localised drug delivery2, biosensing3, and many others. The meticulous control of peptide-based nanomaterial properties over the length scale, by molecular design, remains the main challenge for tailoring biomaterials properties to meet the application needs. In our group, we have recently adopted a minimalistic molecular engineering approach for the development of Ultrashort Ionic-complementary Constrained Peptides (UICPs), which were rationally designed to self-assemble into amphiphilic β-sheet nanofibers with unique hydrogelation properties and surface activity.4 We have previously demonstrated the crucial role played by aromatic stacking for the formation and thermodynamic stabilisation of UICP β-sheet structures. Herein, we will show how charge interactions can be manipulated for fine tuning molecular self-assembly, morphology and size of nanofibrous structures formation and viscoelasticity of UICP hydrogels. A library of 18 peptide sequences (4-5 residues long) was developed to study the effect of the sequence net charge, charge density distribution, reversal of charge order and ionic self-complementarity on their propensity towards self-assembly and gelation. Interestingly, 12 of these peptides self-assembled into β-sheet nanofibrous structures forming hydrogels at pH 4.5-5, as confirmed by ATR-FTIR, SEM, TEM, SAXS and oscillatory rheology. Full control over β-sheet content (ranging from ~30-80%), fibre morphology (thin fibrils, thick straight fibre bundles, twisted helical nanofibres, flat nanoribbons and nanotubes) and sizes (~4-67 nm in diameter), as well as gelation (critical gelation concentrations ranging from <7.5 to >100 mM) and viscoelastic properties (storage moduli G’ ~0.1-100 KPa) was achieved by the careful positioning of both Glu and Lys residues at both C- and N-termini, in the sequence core and on both the hydrophilic and hydrophobic faces of the peptide chain. In essence, this design approach enabled/disabled lateral growth along the β-sheet ladder via electrostatic attraction (counter charge, anion-pi and cation-pi)/repulsion, hence controlling fibre thickness, morphology, entanglement, and the resulting viscoelasticity of the system. Our UICPs platform thus provides the flexibility in peptide molecular design for the manufacturing of soft biomaterials with versatile properties that can be in future tailored to the relevant biomedical application.