Percolation-induced gel-gel phase separation in a dilute polymer network.

Cosmic large-scale structures, animal flocks and living tissues can be considered non-equilibrium organized systems created by dissipative processes. Replicating such properties in artificial systems is still difficult. Herein we report a dissipative network formation process in a dilute polymer-water mixture that leads to percolation-induced gel-gel phase separation. The dilute system, which forms a monophase structure at the percolation threshold, spontaneously separates into two co-continuous gel phases with a submillimetre scale (a dilute-percolated gel) during the deswelling process after the completion of the gelation reaction. The dilute-percolated gel, which contains 99% water, exhibits unexpected hydrophobicity and induces the development of adipose-like tissues in subcutaneous tissues. These findings support the development of dissipative structures with advanced functionalities for distinct applications, ranging from physical chemistry to tissue engineering.

Practical Compass of Single-Cell RNA-Seq Analysis.

PURPOSE OF REVIEW: This review paper provides step-by-step instructions on the fundamental process, from handling fastq datasets to illustrating plots and drawing trajectories. RECENT FINDINGS: The number of studies using single-cell RNA-seq (scRNA-seq) is increasing. scRNA-seq revealed the heterogeneity or diversity of the cellular populations. scRNA-seq also provides insight into the interactions between different cell types. User-friendly scRNA-seq packages for ligand-receptor interactions and trajectory analyses are available. In skeletal biology, osteoclast differentiation, fracture healing, ectopic ossification, human bone development, and the bone marrow niche have been examined using scRNA-seq. scRNA-seq data analysis tools are still being developed, even at the fundamental step of dataset integration. However, updating the latest information is difficult for many researchers. Investigators and reviewers must share their knowledge of in silico scRNA-seq for better biological interpretation. This review article aims to provide a useful guide for complex analytical processes in single-cell RNA-seq data analysis.

Temperature Dependence of Polymer Network Diffusion.

The swelling dynamics of polymer gels are characterized by the (collective) diffusion coefficient D of the polymer network. Here, we measure the temperature dependence of D of polymer gels with controlled homogeneous network structures using dynamic light scattering. An evaluation of the diffusion coefficient at the gelation point D_{gel} and the increase therein as the gelation proceeds ΔD≡D-D_{gel} indicates that ΔD is a linear function of the absolute temperature with a significantly large negative constant term. This feature is formally identical to the recently discovered "negative energy elasticity" [Y. Yoshikawa et al. Phys. Rev. X 11, 011045 (2021)PRXHAE2160-330810.1103/PhysRevX.11.011045], demonstrating a nontrivial similarity between the statics and dynamics of polymer networks.

Heart Rate Modeling and Prediction Using Autoregressive Models and Deep Learning.

Physiological time series are affected by many factors, making them highly nonlinear and nonstationary. As a consequence, heart rate time series are often considered difficult to predict and handle. However, heart rate behavior can indicate underlying cardiovascular and respiratory diseases as well as mood disorders. Given the importance of accurate modeling and reliable predictions of heart rate fluctuations for the prevention and control of certain diseases, it is paramount to identify models with the best performance in such tasks. The objectives of this study were to compare the results of three different forecasting models (Autoregressive Model, Long Short-Term Memory Network, and Convolutional Long Short-Term Memory Network) trained and tested on heart rate beats per minute data obtained from twelve heterogeneous participants and to identify the architecture with the best performance in terms of modeling and forecasting heart rate behavior. Heart rate beats per minute data were collected using a wearable device over a period of 10 days from twelve different participants who were heterogeneous in age, sex, medical history, and lifestyle behaviors. The goodness of the results produced by the models was measured using both the mean absolute error and the root mean square error as error metrics. Despite the three models showing similar performance, the Autoregressive Model gave the best results in all settings examined. For example, considering one of the participants, the Autoregressive Model gave a mean absolute error of 2.069 (compared to 2.173 of the Long Short-Term Memory Network and 2.138 of the Convolutional Long Short-Term Memory Network), achieving an improvement of 5.027% and 3.335%, respectively. Similar results can be observed for the other participants. The findings of the study suggest that regardless of an individual's age, sex, and lifestyle behaviors, their heart rate largely depends on the pattern observed in the previous few minutes, suggesting that heart rate can be reasonably regarded as an autoregressive process. The findings also suggest that minute-by-minute heart rate prediction can be accurately performed using a linear model, at least in individuals without pathologies that cause heartbeat irregularities. The findings also suggest many possible applications for the Autoregressive Model, in principle in any context where minute-by-minute heart rate prediction is required (arrhythmia detection and analysis of the response to training, among others).

The Progress of Stem Cell Technology for Skeletal Regeneration.

Skeletal disorders, such as osteoarthritis and bone fractures, are among the major conditions that can compromise the quality of daily life of elderly individuals. To treat them, regenerative therapies using skeletal cells have been an attractive choice for patients with unmet clinical needs. Currently, there are two major strategies to prepare the cell sources. The first is to use induced pluripotent stem cells (iPSCs) or embryonic stem cells (ESCs), which can recapitulate the skeletal developmental process and differentiate into various skeletal cells. Skeletal tissues are derived from three distinct origins: the neural crest, paraxial mesoderm, and lateral plate mesoderm. Thus, various protocols have been proposed to recapitulate the sequential process of skeletal development. The second strategy is to extract stem cells from skeletal tissues. In addition to mesenchymal stem/stromal cells (MSCs), multiple cell types have been identified as alternative cell sources. These cells have distinct multipotent properties allowing them to differentiate into skeletal cells and various potential applications for skeletal regeneration. In this review, we summarize state-of-the-art research in stem cell differentiation based on the understanding of embryogenic skeletal development and stem cells existing in skeletal tissues. We then discuss the potential applications of these cell types for regenerative medicine.

Universal Equation of State Describes Osmotic Pressure throughout Gelation Process.

The equation of state of the osmotic pressure for linear-polymer solutions in good solvents is universally described by a scaling function. We experimentally measure the osmotic pressure of the gelation process via osmotic deswelling. We find that the same scaling function for linear-polymer solutions also describes the osmotic pressure throughout the gelation process involving both the sol and gel states. Furthermore, we reveal that the osmotic pressure of polymer gels is universally governed by the semidilute scaling law of linear-polymer solutions.

Connectivity dependence of gelation and elasticity in AB-type polymerization: an experimental comparison of the dynamic process and stoichiometrically imbalanced mixing.

To control various physical properties of polymer gels, it is important to control the connection probability between functional groups of network structures (connectivity). In this study, we compare two methodologies tuning the connectivity in AB-type polymerization: one is stopping the reaction intentionally at a certain conversion, and the other is mixing two prepolymers in a stoichiometrically imbalanced ratio. By experimentally examining the relationships between elastic modulus and connectivity, we find that the relationships are almost the same for these two methodologies. However, the critical connectivity for gelation is different. These results are well reproduced by a kind of phantom network model whose structural parameters are estimated by using a mean-field approximation.

Structure-property relationship of a model network containing solvent.

For the application of polymer gels, it is necessary to control independently and precisely their various physical properties. However, the heterogeneity of polymer gels hinders the precise control over the structure, as well as the verification of theories. To understand the structure-property relationship of polymer gels, many researchers have tried to develop a homogeneous model network. Most of the model networks were made from polymer melts that did not have a solvent and had many entanglements in the structure. Because the contribution of entanglements is much larger than that of chemical crosslinking, it was difficult to focus on the crosslinking structure, which is the structure considered in conventional theories. To overcome such a situation, we have developed a new model network system that contains much solvent. Specifically, we fabricated the polymer gel (Tetra-PEG gel) by mixing two types of solutions of tetra-armed poly(ethylene glycol) (Tetra-PEG) with mutually reactive end groups (amine (-PA) and activated ester (-HS)). Because the existence of a solvent strongly reduces the effect of entanglements, the effect of the crosslinking structure on the physical properties can be extracted. In this review, we present the structure-property relationship of Tetra-PEG gel. First, we show the structural homogeneity of Tetra-PEG gels. Then, we explain gelation reaction, elastic modulus, fracture energy and kinetics of swelling and shrinking of Tetra-PEG gels by comparing the theories and experimental results.

Transcription factor Hes1 modulates osteoarthritis development in cooperation with calcium/calmodulin-dependent protein kinase 2.

Notch signaling modulates skeletal formation and pathogenesis of osteoarthritis (OA) through induction of catabolic factors. Here we examined roles of Hes1, a transcription factor and important target of Notch signaling, in these processes. SRY-box containing gene 9 (Sox9)-Cre mice were mated with Hes1(fl/fl) mice to generate tissue-specific deletion of Hes1 from chondroprogenitor cells; this deletion caused no obvious abnormality in the perinatal period. Notably, OA development was suppressed when Hes1 was deleted from articular cartilage after skeletal growth in type II collagen (Col2a1)-Cre(ERT);Hes1(fl/fl) mice. In cultured chondrocytes, Hes1 induced metallopeptidase with thrombospondin type 1 motif, 5 (Adamts5) and matrix metalloproteinase-13 (Mmp13), which are catabolic enzymes that break down cartilage matrix. ChIP-seq and luciferase assays identified Hes1-responsive regions in intronic sites of both genes; the region in the ADAMTS5 gene contained a typical consensus sequence for Hes1 binding, whereas that in the MMP13 gene did not. Additionally, microarray analysis, together with the ChIP-seq, revealed novel Hes1 target genes, including Il6 and Il1rl1, coding a receptor for IL-33. We further identified calcium/calmodulin-dependent protein kinase 2δ (CaMK2δ) as a cofactor of Hes1; CaMK2δ was activated during OA development, formed a protein complex with Hes1, and switched it from a transcriptional repressor to a transcriptional activator to induce cartilage catabolic factors. Therefore, Hes1 cooperated with CaMK2δ to modulate OA pathogenesis through induction of catabolic factors, including Adamts5, Mmp13, Il6, and Il1rl1. Our findings have contributed to further understanding of the molecular pathophysiology of OA, and may provide the basis for development of novel treatments for joint disorders.

Experimental Observation of Two Features Unexpected from the Classical Theories of Rubber Elasticity.

Although the elastic modulus of a Gaussian chain network is thought to be successfully described by classical theories of rubber elasticity, such as the affine and phantom models, verification experiments are largely lacking owing to difficulties in precisely controlling of the network structure. We prepared well-defined model polymer networks experimentally, and measured the elastic modulus G for a broad range of polymer concentrations and connectivity probabilities, p. In our experiment, we observed two features that were distinct from those predicted by classical theories. First, we observed the critical behavior G∼|p-p_{c}|^{1.95} near the sol-gel transition. This scaling law is different from the prediction of classical theories, but can be explained by analogy between the electric conductivity of resistor networks and the elasticity of polymer networks. Here, p_{c} is the sol-gel transition point. Furthermore, we found that the experimental G-p relations in the region above C^{*} did not follow the affine or phantom theories. Instead, all the G/G_{0}-p curves fell onto a single master curve when G was normalized by the elastic modulus at p=1, G_{0}. We show that the effective medium approximation for Gaussian chain networks explains this master curve.

Repair of segmental radial defects in dogs using tailor-made titanium mesh cages with plates combined with calcium phosphate granules and basic fibroblast growth factor-binding ion complex gel.

Repair of large segmental defects of long bones are a tremendous challenge that calls for a novel approach to supporting immediate weight bearing and bone regeneration. This study investigated the functional and biological characteristics of a combination of a tailor-made titanium mesh cage with a plate (tTMCP) with tetrapod-shaped alpha tricalcium phosphate granules (TB) and basic fibroblast growth factor (bFGF)-binding ion complex gel (f-IC gel) to repair 20-mm segmental radial defects in dogs. The defects were created surgically in 18 adult beagle dogs and treated by implantation of tTMCPs with TB with (TB-gel group) or without (TB group) f-IC gel. Each tTMCP fitted the defect well, and all dogs could bear weight on the affected limb immediately after surgery. Dogs were euthanized 4, 8 and 24 weeks after implantation. Histomorphometry showed greater infiltration of new vessels and higher bone union rate in the TB-gel group than in the TB group. The lamellar bone volume and mineral apposition rate did not differ significantly between the groups, indicating that neovascularization may be the primary effect of f-IC gel on bone regeneration. This combination method which is tTMCP combined with TB and f-IC gel, would be useful for the treatment of segmental long bone defects.

Local administration of a hedgehog agonist accelerates fracture healing in a mouse model.

Bone fracture healing is processed through multiple biological stages including the transition from cartilaginous callus to bony callus formation. Because of its specific, temporal and indispensable functions demonstrated by mouse genetic studies, Hedgehog (Hh) signaling is one of the most potent signaling pathways involved in these processes, but the effect of Hh-signaling activation by small compounds on the repair process had not yet been addressed. Here we examined therapeutic effects of local and one shot-administration of the Hh agonist known as smoothened agonist (SAG) on bone fracture healing in a mouse model. A quantitative analysis with three-dimensional micro-computed tomography showed that SAG administration increased the size of both the cartilaginous callus and bony callus at 14 days after the surgery. A histological analysis showed that SAG administration increased the number of cells expressing a proliferation marker and a chondrocyte marker in cartilaginous callus as well as the cells expressing an osteoblast marker in bony callus. These results indicate that the SAG administration resulted in an enhancement of callus formation during bone fracture healing, which is at least in part mediated by an increase in chondrocyte proliferation in cartilaginous callus and the promotion of bone formation in bony callus. Therapeutic strategies with a SAG-mediated protocol may thus be useful for the treatment of bone fractures.

Co-lyophilized Aspirin with Trehalose Causes Less Injury to Human Gastric Cells and Gastric Mucosa of Rats.

BACKGROUND: Aspirin is one of the most popular NSAIDs worldwide because of its anti-inflammatory and anticoagulant effects, and however, gastrointestinal injury remains a major complication. We previously reported co-lyophilized aspirin/trehalose (Lyo A/T) decreased the aspirin-induced gastric lesions in dogs. AIM: This study investigated the mechanism of gastroprotective effects of trehalose in vitro and in vivo. METHODS: The apoptotic assays were performed in a human gastric carcinoma cell line, which was treated with aspirin, mixed aspirin/trehalose (Mix A/T) or Lyo A/T. Gastric ulcer severity was examined after oral administration of drugs in rats. In addition, the mucosal tissue apoptotic status in drug-treated rats was evaluated. Molecular dynamics simulations and laser Raman spectroscopy were performed in order to examine the molecular properties of Lyo A/T. RESULTS: DNA fragmentation was detected in AGS cells that were treated with aspirin and Mix A/T, but not in the Lyo A/T-treated cells. There were fewer apoptotic cells in the Lyo A/T-treated cells than in the other cells. Gastric injury was reduced in rats that received oral Lyo A/T compared with the others, while PGE2 synthesis was equally decreased in all groups. TUNEL assay and immunohistochemistry of cleaved caspase-3 in the mucosal tissues also revealed that Lyo A/T treatment induced less apoptosis than the others. The Lyo A/T spectrum showed clear differences in several Raman bands compared with that of Mix A/T. CONCLUSIONS: Our data showed that co-lyophilization of aspirin with trehalose reduced gastric injury, potentially through suppression of aspirin-induced mucosal cell apoptosis while retaining its anti-inflammatory effects.

Targeted therapy of spontaneous murine pancreatic tumors by polymeric micelles prolongs survival and prevents peritoneal metastasis.

Nanoscaled drug-loaded carriers are of particular interest for efficient tumor therapy as numerous studies have shown improved targeting and efficacy. Nevertheless, most of these studies have been performed against allograft and xenograft tumor models, which have altered microenvironment features affecting the accumulation and penetration of nanocarriers. Conversely, the evaluation of nanocarriers on genetically engineered mice, which can gradually develop clinically relevant tumors, permits the validation of their design under normal processes of immunity, angiogenesis, and inflammation. Therefore, considering the poor prognosis of pancreatic cancer, we used the elastase 1-promoted luciferase and Simian virus 40 T and t antigens transgenic mice, which develop spontaneous bioluminescent pancreatic carcinoma, and showed that long circulating micellar nanocarriers, incorporating the parent complex of oxaliplatin, inhibited the tumor growth as a result of their efficient accumulation and penetration in the tumors. The reduction of the photon flux from the endogenous tumor by the micelles correlated with the decrease of serum carbohydrate-associated antigen 19-9 marker. Micelles also reduced the incidence of metastasis and ascites, extending the survival of the transgenic mice.

Notch signaling in chondrocytes modulates endochondral ossification and osteoarthritis development.

Here we examined the involvement of Notch signaling in the endochondral ossification process, which is crucial for osteoarthritis (OA) development. Intracellular domains of Notch1 and -2 were translocated into the nucleus of chondrocytes with their differentiation in mouse limb cartilage and in mouse and human OA articular cartilage. A tissue-specific inactivation of the Notch transcriptional effector recombination signal binding protein for Ig kappa J (RBPjκ) in chondroprogenitor cells of SRY-box containing gene 9 (Sox9)-Cre;Rbpj(fl/fl) mouse embryos caused an impaired terminal stage of endochondral ossification in the limb cartilage. The RBPjκ inactivation in adult articular cartilage after normal skeletal growth using type II collagen (Col2a1)-Cre(ERT);Rbpj(fl/fl) mice by tamoxifen injection caused resistance to OA development in the knee joint. Notch intracellular domain with the effector RBPjκ stimulated endochondral ossification through induction of the target gene Hes1 in chondrocytes. Among the Notch ligands, Jagged1 was strongly induced during OA development. Finally, intraarticular injection of N-[N-(3,5-diflurophenylacetate)-L-alanyl]-(S)-phenylglycine t-butyl ester (DAPT), a small compound Notch inhibitor, to the mouse knee joint prevented OA development. The RBPjκ-dependent Notch signaling in chondrocytes modulates the terminal stage of endochondral ossification and OA development, representing an extracellular therapeutic target of OA.

Non-Osmotic Hydrogels: A Rational Strategy for Safely Degradable Hydrogels.

Hydrogels are promising materials for biomedical applications, where timely degradation is often preferred. In the conventional design, however, the cleavage of polymer networks essentially causes considerable morphological changes (i.e., degradation-induced swelling), triggering various medical complications. Herein, we report a rational strategy to suppress the degradation-induced swelling based on the synthetic control of the polymer-solvent interaction parameter (χ) of constituent polymer networks. The resultant hydrogels with an optimal χ parameter (χ37 °C ≈0.53; non-osmostic hydrogels) displayed the capability to retain their original shape and degrade without generating significant swelling pressure under physiological conditions (Π37 °C <1 kPa). This concept of the safely degradable non-osmotic hydrogel is theoretically universal, and can be exploited for other types of synthetic hydrogels in various settings.

Identification of fibroblast growth factor-18 as a molecule to protect adult articular cartilage by gene expression profiling.

To identify genes that maintain the homeostasis of adult articular cartilage and regenerate its lesions, we initially compared four types of chondrocytes: articular (AA) versus growth plate (AG) cartilage chondrocytes in adult rats, and superficial layer (IS) versus deep layer (ID) chondrocytes of epiphyseal cartilage in infant rats. Microarray analyses revealed that 40 and 186 genes had ≥10-fold higher expression ratios of AA/AG and IS/ID, respectively, and 16 genes showed ≥10-fold of both AA/AG and IS/ID ratios. The results were validated by real-time RT-PCR analysis. Among them, Hoxd1, Fgf18, and Esm1 were expressed more strongly in AA than in IS. Fgf18 was the extracellular and secreted factor that decreased glycosaminoglycan release and depletion from the cartilage, and enhanced proliferation of articular chondrocytes. Fgf18 was strongly expressed in the articular cartilage chondrocytes of adult rats. In a surgical rat osteoarthritis model, a once-weekly injection of recombinant human FGF18 (rhFGF18) given 3 weeks after surgery prevented cartilage degeneration in a dose-dependent manner at 6 and 9 weeks after surgery, with significant effect at 10 µg/week of rhFGF18. As the underlying mechanism, rhFGF18 strongly up-regulated Timp1 expression in the cell and organ cultures, and inhibition of aggrecan release by rhFGF18 was restored by addition of an antibody to Timp1. In conclusion, we have identified Fgf18 as a molecule that protects articular cartilage by gene expression profiling, and the anticatabolic effects may at least partially be mediated by the Timp1 expression.

Haematopoietic stem cells depend on Galpha(s)-mediated signalling to engraft bone marrow.

Haematopoietic stem and progenitor cells (HSPCs) change location during development and circulate in mammals throughout life, moving into and out of the bloodstream to engage bone marrow niches in sequential steps of homing, engraftment and retention. Here we show that HSPC engraftment of bone marrow in fetal development is dependent on the guanine-nucleotide-binding protein stimulatory alpha subunit (Galpha(s)). HSPCs from adult mice deficient in Galpha(s) (Galpha(s)(-/-)) differentiate and undergo chemotaxis, but also do not home to or engraft in the bone marrow in adult mice and demonstrate a marked inability to engage the marrow microvasculature. If deleted after engraftment, Galpha(s) deficiency did not lead to lack of retention in the marrow, rather cytokine-induced mobilization into the blood was impaired. Testing whether activation of Galpha(s) affects HSPCs, pharmacological activators enhanced homing and engraftment in vivo. Galpha(s) governs specific aspects of HSPC localization under physiological conditions in vivo and may be pharmacologically targeted to improve transplantation efficiency.