Gabriele Nasello

Local activation of regulatory T (T_reg) cells represents a promising strategy for wound repair and tissue regeneration. However, current T_reg-based therapies rely on adoptive cell transfer, which requires ex vivo expansion and reinfusion, posing challenges to donor variability and tissue specificity. Here we engineer a hydrogel-based system for in situ T_reg activation at injury sites through the controlled release of AS2863619 (AS), a cyclin-dependent kinase inhibitor. AS is incorporated into collagen hydrogels at concentrations exceeding its solubility limit, reducing burst release and extending the release half-life. This continuous exposure to T_reg-inducing agents stabilizes Foxp3 expression in CD4⁺ T cells, thereby enabling T_reg induction and stabilization. The incorporation of laponite nanoparticles further slows AS release and prolongs drug retention. In a calvarial bone-defect model, AS-loaded hydrogels induce dose-dependent T_reg cell activation, reduce pro-inflammatory macrophage responses and enhance bone regeneration. Notably, AS–laponite hydrogels achieve complete defect bridging in some cases. By providing spatiotemporal control over T_reg populations without the need for cell isolation and expansion, this approach offers a scalable alternative for immunomodulation and tissue repair.

Mechanical stability critically influences bone fracture healing, yet how the early mechanical environment directs the transition from inflammation to regeneration remains unclear. Using a murine femoral osteotomy model, we compared rigid, semirigid, and dynamically adjusted semirigid-to-rigid fixation. Semirigid fixation delayed healing on day 21, whereas a strategy of early compliance followed by increased stiffness after 7 days restored bridging and improved bone regeneration beyond constant rigid fixation, pointing to a critical early mechanosensitive window after fracture. Single-cell RNA sequencing across the first week, comparing semirigid with rigid fixation, showed that fixation stiffness altered intercellular signaling within one day of injury. Signaling among myeloid populations was more broadly increased under semirigid fixation, with monocytes the single exception, and signaling associated with resolution of inflammation was reduced. From day 5, periosteal and skeletal progenitor populations increasingly directed cartilage-associated matrix and growth factor signaling toward macrophages and chondrocytes, accompanied by increased Sox9 regulon activity and increased COL10+ hypertrophic cartilage matrix by day 7. Reduced fixation stiffness therefore promotes a chondrogenic trajectory of repair, but increasing stiffness is required to redirect this response toward bone formation. Piezo1 was expressed across the responding populations and shifted between compartments as healing progressed. PIEZO1 activation with Yoda1 under rigid fixation enhanced bone formation but provided no additional benefit under semirigid or dynamically adjusted fixation, whereas inhibition of mechanosensitive signaling with GsMTx4 impaired repair across all conditions. Together, these findings establish the early mechanical environment as a determinant of fracture-healing trajectory, shaping the transition from inflammation to regeneration, and show that successful repair depends not on maximal stability but on when stiffness is applied. Increasing either early mechanical stimulation or cellular mechanosensitivity enhanced regeneration, supporting mechanosensitive signaling as a key component of the early healing response.

Orthopedic implants can guide endogenous tissue regeneration, with outcomes shaped by early interactions between immune cells and tissue specific progenitors. While interest in the osteoimmunomodulatory function of 3D printed bone scaffolds is increasing, most studies focus on the effects of immune cells on bone forming cells, often overlooking the immunomodulatory role of skeletal progenitors. This study examines how 3D printed titanium scaffolds influence macrophage polarization mediated by skeletal progenitors and how the resulting macrophage response affects osteogenic differentiation of these progenitors. An indirect co culture system was used, with primary human macrophages seeded on titanium scaffolds and human periosteum derived cells cultured separately. After five days, conditioned media were exchanged. Titanium scaffolds promoted an inflammatory macrophage profile and limited the modulatory effect of skeletal progenitors under specific readouts. In turn, macrophage conditioned media from scaffold cultures selectively altered osteogenic gene expression in skeletal progenitors, with effects on SPP1 and COL1A1. These findings indicate that 3D printed titanium scaffolds influence macrophage-progenitor crosstalk that may affect regenerative signaling.

Background: The vertebral bony endplate (BEP) plays a role in regulating both mechanical load transfer and nutrient transport to the intervertebral disc, functions strongly influenced by its microstructural porosity. Variations in porosity impact bone strength, elasticity, and solute diffusion, affecting its overall mechanical competence. Methods: A semi‐automated modeling workflow was established to quantify pore geometry and connectivity of the BEP and relate them to zone‐specific mechanical and transport properties using relationships previously established in the literature. Six to eight BEPs from four bovine subjects were imaged using micro‐computed tomography. The central zone and two peripheral zones of each BEP were segmented, and their microstructural properties, including tortuosity, porosity, and pore radii, were quantified using the pipeline to assess BEP heterogeneity. These metrics were then used to infer the BEP's zone‐dependent density, Young's modulus, compressive strength, and shear modulus. Results: The BEPs showed spatial, intra‐subject, and inter‐subject morphological variability, which affected their predicted mechanical and transport properties. These findings highlight the limitations of purely idealized BEP representations in silico simulations and support the incorporation of uncertainty modeling strategies that account for physiologically relevant variations in the BEP. Conclusion: This semi‐automated modeling approach represents a tangible step toward more realistic in silico simulations of vertebral endplate function.

Automated technologies are attractive for enhancing the robust manufacturing of tissue-engineered products for clinical translation. In this work, we present an automation strategy using a robotics platform for media changes, and imaging of cartilaginous microtissues cultured in static microwell platforms. We use an automated image analysis pipeline to extract microtissue displacements and morphological features as noninvasive quality attributes. As a result, empty microwells were identified with a 96% accuracy, and dice coefficient of 0.84 for segmentation. Design of experiment are used for the optimization of liquid handling parameters to minimize empty microwells during long-term differentiation protocols. We found no significant effect of aspiration or dispension speeds at and beyond manual speed. Instead, repeated media changes and time in culture were the driving force or microtissue displacements. As the ovine model is the preclinical model of choice for large skeletal defects, we used ovine periosteum-derived cells to form cartilage-intermediate microtissues. Increased expression of COL2A1 confirms chondrogenic differentiation and RUNX2 shows no osteogenic specification. Histological analysis shows an increased secretion of cartilaginous extracellular matrix and glycosaminoglycans in larger microtissues. Furthermore, microtissue-based implants are capable of forming mineralized tissues and bone after 4 weeks of ectopic implantation in nude mice. We demonstrate the development of an integrated bioprocess for culturing and manipulation of cartilaginous microtissues and anticipate the progressive substitution of manual operations with automated solutions for the manufacturing of microtissue-based living implants.

Summary: Loss of muscle stem cell (MuSC) self-renewal with aging reflects a combination of influences from the intracellular (e.g., post-transcriptional modifications) and extracellular (e.g., matrix stiffness) environment. Whereas conventional single cell analyses have revealed valuable insights into factors contributing to impaired self-renewal with age, most are limited by static measurements that fail to capture nonlinear dynamics. Using bioengineered matrices mimicking the stiffness of young and old muscle, we showed that while young MuSCs were unaffected by aged matrices, old MuSCs were phenotypically rejuvenated by young matrices. Dynamical modeling of RNA velocity vector fields in silico revealed that soft matrices promoted a self-renewing state in old MuSCs by attenuating RNA decay. Vector field perturbations demonstrated that the effects of matrix stiffness on MuSC self-renewal could be circumvented by fine-tuning the expression of the RNA decay machinery. These results demonstrate that post-transcriptional dynamics dictate the negative effect of aged matrices on MuSC self-renewal. Graphical Graphical abstract description: The balance of self-renewal and differentiation in young muscle stem cells (MuSCs) is robust to perturbations of the biophysical microenvironment. In contrast, aged MuSCs are highly sensitive to extrinsic perturbations, and exposure to a youthful microenvironment rejuvenates the self-renewing potential of aged MuSCs by modulating post-transcriptional RNA dynamics.

Automated technologies are attractive for enhancing a robust manufacturing of tissue engineered products for clinical translation. In this work, we present an automation strategy using a robotics platform for media changes of cartilaginous microtissues cultured in static microwell platforms. We use an automated image analysis pipeline to extract microtissue displacements and morphological features, which serve as input for statistical factor analysis. To minimize microtissue displacement and suspension leading to uncontrolled fusion, we performed a mixed factorial DoE on liquid handling parameters for large and small microwell platforms. As a result, 144 images, with 51 471 spheroids could be processed automatically. The automated imaging workflow takes 2 minutes per image, and it can be implemented for on-line monitoring of microtissues, thus allowing informed decision making during manufacturing. We found that time in culture is the main factor for microtissue displacements, explaining 10 % of the displacements. Aspiration and dispension speed were not significant at manual speeds or beyond, with an effect size of 1 %. We defined optimal needle placement and depth for automated media changes and we suggest that robotic plate handling could improve the yield and homogeneity in size of microtissue cultures. After three weeks culture, increased expression of COL2A1 confirmed chondrogenic differentiation and RUNX2 shows no osteogenic specification. Histological analysis showed the secretion of cartilaginous extracellular matrix. Furthermore, microtissue-based implants were capable of forming mineralized tissues and bone after four weeks of ectopic implantation in nude mice. We demonstrate the development of an integrated bioprocess for culturing and manipulation of cartilaginous microtissues. We anticipate the progressive substitution of manual operations with automated solutions for manufacturing of microtissue-based living implants.

The recent growth of single-cell transcriptomics has turned single-cell RNA sequencing (scRNA-seq) into a near-routine experiment. Breakthroughs in improving scalability have led to the creation of organism-wide transcriptomic datasets, aiming to comprehensively profile the cell types and states within an organism throughout its lifecycle. To date, however, the skeleton remains a majorly underrepresented organ system in organism-wide atlases. Considering how the skeleton not only serves as the central framework of the vertebrate body but is also the home of the hematopoietic niche and a central player in major metabolic and homeostatic processes, this presents a major deficit in current reference atlas projects. To address this issue, we integrated ten separate scRNA-seq datasets containing limb skeletal cells and their developmental precursors, generating an atlas of 133 332 cells. This limb skeletal cell atlas describes cells across the mesenchymal lineage from the induction of the limb to the adult bone and encompasses 39 different cell states. Furthermore, expanding the repertoire of available time points and cell types within a single dataset allowed for more complete analyses of cell-cell communication or in silico perturbation studies. Taken together, we present a missing piece in the current atlas mapping efforts, which will be of value to researchers in the fields of skeletal biology, hematopoiesis, metabolism and regenerative medicine.

The recent development of bone-on-chips (BOCs) holds the main advantage of requiring a low quantity of cells and material, compared to traditional In Vitro models. By incorporating hydrogels within BOCs, the culture system moved to a three dimensional culture environment for cells which is more representative of bone tissue matrix and function. The fundamental components of hydrogel-based BOCs, namely the cellular sources, the hydrogel and the culture chamber, have been tuned to mimic the hematopoietic niche in the bone aspirate marrow, cancer bone metastasis and osteo/chondrogenic differentiation. In this review, we examine the entire process of developing hydrogel-based BOCs to model In Vitro a patient specific situation. First, we provide bone biological understanding for BOCs design and then how hydrogel structural and mechanical properties can be tuned to meet those requirements. This is followed by a review on hydrogel-based BOCs, developed in the last 10 years, in terms of culture chamber design, hydrogel and cell source used. Finally, we provide guidelines for the definition of personalized pathological and physiological bone microenvironments. This review covers the information on bone, hydrogel and BOC that are required to develop personalized therapies for bone disease, by recreating clinically relevant scenarii in miniaturized devices.

Physical cues are decisive factors in extracellular matrix (ECM) formation and elaboration. Their transduction across scale lengths is an inherently symbiotic phenomenon that while influencing ECM fate is also mediated by the ECM structure itself. This study investigates the possibility of enhancing ECM elaboration by topological cues that, while not modifying the substrate macro scale mechanics, can affect the meso-scale strain range acting on cells incorporated within the scaffold. Vascular smooth muscle cell micro-integrated, electrospun scaffolds were fabricated with comparable macroscopic biaxial mechanical response, but different meso-scale topology. Seeded scaffolds were conditioned on a stretch bioreactor and exposed to large strain deformations. Samples were processed to evaluate ECM quantity and quality via: biochemical assay, qualitative and quantitative histological assessment and multi-photon analysis. Experimental evaluation was coupled to a numerical model that elucidated the relationship between the scaffold micro-architecture and the strain acting on the cells. Results showed an higher amount of ECM formation for the scaffold type characterized by lowest fiber intersection density. The numerical model simulations associated this result with the differences found for the change in cell nuclear aspect ratio and showed that given comparable macro scale mechanics, a difference in material topology created significant differences in cell–scaffold meso-scale deformations. These findings reaffirmed the role of cell shape in ECM formation and introduced a novel notion for the engineering of cardiac tissue where biomaterial structure can be designed to both mimick the organ level mechanics of a specific tissue of interest and elicit a desirable cellular response.