Coupling of bone resorption and formation by RANKL reverse signalling.

Receptor activator of nuclear factor-kappa B (RANK) ligand (RANKL) binds RANK on the surface of osteoclast precursors to trigger osteoclastogenesis. Recent studies have indicated that osteocytic RANKL has an important role in osteoclastogenesis during bone remodelling; however, the role of osteoblastic RANKL remains unclear. Here we show that vesicular RANK, which is secreted from the maturing osteoclasts, binds osteoblastic RANKL and promotes bone formation by triggering RANKL reverse signalling, which activates Runt-related transcription factor 2 (Runx2). The proline-rich motif in the RANKL cytoplasmic tail is required for reverse signalling, and a RANKL(Pro29Ala) point mutation reduces activation of the reverse signalling pathway. The coupling of bone resorption and formation is disrupted in RANKL(Pro29Ala) mutant mice, indicating that osteoblastic RANKL functions as a coupling signal acceptor that recognizes vesicular RANK. RANKL reverse signalling is therefore a potential pharmacological target for avoiding the reduced bone formation associated with inhibition of osteoclastogenesis.

Utility of constraints reflecting system stability on analyses for biological models.

Simulating complex biological models consisting of multiple ordinary differential equations can aid in the prediction of the pharmacological/biological responses; however, they are often hampered by the availability of reliable kinetic parameters. In the present study, we aimed to discover the properties of behaviors without determining an optimal combination of kinetic parameter values (parameter set). The key idea was to collect as many parameter sets as possible. Given that many systems are biologically stable and resilient (BSR), we focused on the dynamics around the steady state and formulated objective functions for BSR by partial linear approximation of the focused region. Using the objective functions and modified global cluster Newton method, we developed an algorithm for a thorough exploration of the allowable parameter space for biological systems (TEAPS). We first applied TEAPS to the NF-κB signaling model. This system shows a damped oscillation after stimulation and seems to fit the BSR constraint. By applying TEAPS, we found several directions in parameter space which stringently determines the BSR property. In such directions, the experimentally fitted parameter values were included in the range of the obtained parameter sets. The arachidonic acid metabolic pathway model was used as a model related to pharmacological responses. The pharmacological effects of nonsteroidal anti-inflammatory drugs were simulated using the parameter sets obtained by TEAPS. The structural properties of the system were partly extracted by analyzing the distribution of the obtained parameter sets. In addition, the simulations showed inter-drug differences in prostacyclin to thromboxane A2 ratio such that aspirin treatment tends to increase the ratio, while rofecoxib treatment tends to decrease it. These trends are comparable to the clinical observations. These results on real biological models suggest that the parameter sets satisfying the BSR condition can help in finding biologically plausible parameter sets and understanding the properties of biological systems.

Establishment of optimized in vitro assay methods for evaluating osteocyte functions.

Recent studies have revealed that osteocytes play multiple important physiological roles. To analyze osteocyte functions in detail, an in vitro experimental system for primary osteocytes would be useful. Unfortunately, osteocytes tend to dedifferentiate and acquire osteoblast-like features even when the cells are cultured in three-dimensional (3D) collagen gel. Therefore, it is desirable to establish osteocyte culture conditions that prevent dedifferentiation over longer periods. In this study, we obtained systematic information about the influence of culture conditions on osteocyte differentiation states. Fetal bovine serum (FBS) concentrations from 0.1 to 0.5 % in 3D culture matrix did not significantly influence the expression of osteocyte markers. On the other hand, addition of Matrigel to the culture matrix significantly enhanced the expression of Rankl and late osteocyte markers such as Sost and Fgf23. Matrigel addition also inhibited upregulation of Opg and early osteocyte markers such as Dmp1 and Gp38. These effects on osteocyte properties were maximal at a Matrigel culture matrix content of 50 %. Matrigel addition to the matrix also increased dendritic process extension by osteocytes. In addition, Matrigel addition significantly stimulated tartrate-resistant acid phosphatase activity in co-culture with bone marrow macrophages. Among the conditions tested, 50 % Matrigel and 0.2 % FBS in type I collagen matrix were optimal for culture of primary osteocytes.

Regulatory mechanisms of RANKL presentation to osteoclast precursors.

It is important to understand the molecular mechanisms regulating osteoclast formation, as excess activation of osteoclasts is associated with various osteopenic disorders. Receptor activator of nuclear factor kappa B (RANKL) is a central player in osteoclastogenesis. Recent findings suggest that osteocytes are the major supplier of RANKL to osteoclast precursors. It has also been suggested that osteocyte cell death upregulates the RANKL/osteoprotegerin (OPG) ratio in viable osteocytes adjacent to apoptotic osteocytes in areas of bone microdamage, thus, contributing to localized osteoclast formation. Indeed, viable osteocytes can provide RANKL through direct interactions with osteoclast precursors at osteocyte dendritic processes. In addition, OPG tightly regulates RANKL cell surface presentation in osteocytes, which contributes to the inhibition of RANKL signaling, as well as the decoy receptor function of OPG. By contrast, the physiological role of RANKL in osteoblasts is yet to be clarified, although similar mechanisms of regulation are observed in both osteocytes and osteoblasts.

[Challenges in Understanding the Biological and Pharmacological Responses Based on Emergent Complexity in Biological Systems: From Bone Metabolism to General Physiology].

Biological systems are complex, and although researchers strive to understand them, the accumulated knowledge often complicates integrative comprehension. Consolidating this knowledge can provide insights into the landscape of specific biological events. Our study on bone metabolism, focusing on the behavior of the receptor activator of nuclear factor kappa B (RANK) and its ligand (RANKL) highlighted the challenges in understanding its role across different cell types. At the same time, the study underscores the importance of exploring interactions between various players (cell types and genes/proteins) in complex systems, which is a core focus of systems biology. Analysis by mathematical models is a potentially powerful tool for describing the dynamic behavior of components in the interaction networks. However, such model-based analyses are limited by parameter availability and reliability. To address this, we proposed two approaches, i.e., sequential simulation and system-wide behavior constraints. Sequential simulation of small dynamic models offers potential in reproducing behavior in larger networks, as seen in toxicity analysis of sunitinib-related adverse effects. System-wide constraints derived from "homeostasis" help reduce the parameter search space in large-scale models, as demonstrated in model-based analysis of the effects of non-steroidal anti-inflammatory drugs (NSAIDs) on the arachidonic acid pathway. These analytical approaches offer insights into biological system dynamics and can enhance our understanding of pharmacological effects that result from perturbations in complexities of biological systems.

Applications of model simulation in pharmacological fields and the problems of theoretical reliability.

The use of mathematical models has become increasingly prevalent in pharmacological fields, particularly in drug development processes. These models are instrumental in tasks such as designing clinical trials and assessing factors like efficacy, toxicity, and clinical practice. Various types of models have been developed and documented. Nevertheless, emphasizing the reliability of parameter values is crucial, as they play a pivotal role in shaping the behavior of the system. In some instances, parameter values reported previously are treated as fixed values, which can lead to convergence towards values that deviate substantially from those found in actual biological systems. This is especially true when parameter values are determined through fitting to limited observations. To mitigate this risk, the reuse of parameter values from previous reports should be approached with a critical evaluation of their validity. Currently, there is a proposal for a simultaneous search for plausible values for all parameters using comprehensive search algorithms in both pharmacokinetic and pharmacodynamic or systems pharmacological models. Implementing these methodologies can help address issues related to parameter determination. Furthermore, integrating these approaches with methods developed in the field of machine-learning field has the potential to enhance the reliability of parameter values and the resulting model outputs.

Systems-based understanding of pharmacological responses with combinations of multidisciplinary methodologies.

The importance of systems-based pharmacological approaches to drug discovery and development has increasingly been recognized. This reviews summarizes recent advances in the development of systems pharmacology and introduces the methods used for analysis. To understand the cellular response at the molecular level, pathway maps must be prepared to show how the function of the constituent molecules within cells are linked and integrated to form molecular networks. First, the methods used to prepare these pathway maps, such as databases, knowledge bases and software platforms, are introduced. Then the mathematical theories used to analyse the behavior of molecular networks are summarized. To quantitatively predict cellular responses, simulations are performed that are based on the rate equations for each reaction within the pathway map. If the number of reactions described in the pathway map is small, and if the parameter values for the rate constants are available, it is possible accurately to simulate the behavior of the molecular networks. However, to analyse complex maps, mathematical abstraction is required. Such abstraction methods are important to integrate cellular responses and to understand tissue/organ and in vivo pharmacological/toxicological responses. The scope and limitations of the methods are also discussed.

Integrative and theoretical research on the architecture of a biological system and its disorder.

An organism stems from assemblies of a variety of cells and proteins. This complex system serves as a unit, and it exhibits highly sophisticated functions in response to exogenous stimuli that change over time. The complete sequencing of the entire human genome has allowed researchers to address the enigmas of life and disease at the gene- or molecular-based level. The consequence of such studies is the rapid accumulation of a multitude of data at multiple levels, ranging from molecules to the whole body, that has necessitated the development of entirely new concepts, tools, and methodologies to analyze and integrate these data. This necessity has given birth to systems biology, an advanced theoretical and practical research framework that has totally changed the directions of not only basic life science but also medicine. During the symposium of the 95th Annual Meeting of The Physiological Society of Japan 2018, five researchers reported on their respective studies on systems biology. The topics included reactions of drugs, ion-transport architecture in an epithelial system, multi-omics in renal disease, cardiac electrophysiological systems, and a software platform for computer simulation. In this review article these authors have summarized recent achievements in the field and discuss next-generation studies on health and disease.

Elucidation of the molecular mechanisms underlying adverse reactions associated with a kinase inhibitor using systems toxicology.

BACKGROUND/OBJECTIVES: Targeted kinase inhibitors are an important class of agents in anticancer therapeutics, but their limited tolerability hampers their clinical performance. Identification of the molecular mechanisms underlying the development of adverse reactions will be helpful in establishing a rational method for the management of clinically adverse reactions. Here, we selected sunitinib as a model and demonstrated that the molecular mechanisms underlying the adverse reactions associated with kinase inhibitors can efficiently be identified using a systems toxicological approach. METHODS: First, toxicological target candidates were short-listed by comparing the human kinase occupancy profiles of sunitinib and sorafenib, and the molecular mechanisms underlying adverse reactions were predicted by sequential simulations using publicly available mathematical models. Next, to evaluate the probability of these predictions, a clinical observation study was conducted in six patients treated with sunitinib. Finally, mouse experiments were performed for detailed confirmation of the hypothesized molecular mechanisms and to evaluate the efficacy of a proposed countermeasure against adverse reactions to sunitinib. RESULTS: In silico simulations indicated the possibility that sunitinib-mediated off-target inhibition of phosphorylase kinase leads to the generation of oxidative stress in various tissues. Clinical observations of patients and mouse experiments confirmed the validity of this prediction. The simulation further suggested that concomitant use of an antioxidant may prevent sunitinib-mediated adverse reactions, which was confirmed in mouse experiments. CONCLUSIONS: A systems toxicological approach successfully predicted the molecular mechanisms underlying clinically adverse reactions associated with sunitinib and was used to plan a rational method for the management of these adverse reactions.

RANKL subcellular trafficking and regulatory mechanisms in osteocytes.

The receptor activator of the NF-κB ligand (RANKL) is the central player in the regulation of osteoclastogenesis, and the quantity of RANKL presented to osteoclast precursors is an important factor determining the magnitude of osteoclast formation. Because osteoblastic cells are thought to be a major source of RANKL, the regulatory mechanisms of RANKL subcellular trafficking have been studied in osteoblastic cells. However, recent reports showed that osteocytes are a major source of RANKL presentation to osteoclast precursors, prompting a need to reinvestigate RANKL subcellular trafficking in osteocytes. Investigation of molecular mechanisms in detail needs well-designed in vitro experimental systems. Thus, we developed a novel co-culture system of osteoclast precursors and osteocytes embedded in collagen gel. Experiments using this model revealed that osteocytic RANKL is provided as a membrane-bound form to osteoclast precursors through osteocyte dendritic processes and that the contribution of soluble RANKL to the osteoclastogenesis supported by osteocytes is minor. Moreover, the regulation of RANKL subcellular trafficking, such as OPG-mediated transport of newly synthesized RANKL molecules to lysosomal storage compartments, and the release of RANKL to the cell surface upon stimulation with RANK are confirmed to be functional in osteocytes. These results provide a novel understanding of the regulation of osteoclastogenesis.

Rab27a and Rab27b are involved in stimulation-dependent RANKL release from secretory lysosomes in osteoblastic cells.

The quantity of the receptor activator of NF-κB ligand (RANKL) expressed at the cell surface of osteoblastic cells is an important factor regulating osteoclast activation. Previously, RANKL was found to be localized to secretory lysosomes in osteoblastic cells and to translocate to the cell surface in response to stimulation with RANK-Fc-conjugated beads. However, the in vivo significance of stimulation-dependent RANKL release has not been elucidated. In this study we show that small GTPases Rab27a and Rab27b are involved in the stimulation-dependent RANKL release pathway in osteoblastic cells. Suppression of either Rab27a or Rab27b resulted in a marked reduction in RANKL release after stimulation. Slp4-a, Slp5, and Munc13-4 acted as effector molecules that coordinated Rab27a/b activity in this pathway. Suppression of Rab27a/b or these effector molecules did not inhibit accumulation of RANKL in lysosomal vesicles around the stimulated sites but did inhibit the fusion of these vesicles to the plasma membrane. In osteoblastic cells, suppression of the effector molecules resulted in reduced osteoclastogenic ability. Furthermore, Jinx mice, which lack a functional Munc13-4 gene, exhibited a phenotype characterized by increased bone volume near the tibial metaphysis caused by low bone resorptive activity. In conclusion, stimulation-dependent RANKL release is mediated by Rab27a/b and their effector molecules, and this mechanism may be important for osteoclast activation in vivo.

Function of OPG as a traffic regulator for RANKL is crucial for controlled osteoclastogenesis.

The amount of the receptor activator of NF-κB ligand (RANKL) on the osteoblastic cell surface is considered to determine the magnitude of the signal input to osteoclast precursors and the degree of osteoclastogenesis. Previously, we have shown that RANKL is localized predominantly in lysosomal organelles, but little is found on the osteoblastic cell surface, and consequently, the regulated subcellular trafficking of RANKL in osteoblastic cells is important for controlled osteoclastogenesis. Here we have examined the involvement of osteoprotegerin (OPG), which is currently recognized as a decoy receptor for RANKL, in the regulation of RANKL behavior. It was suggested that OPG already makes a complex with RANKL in the Golgi apparatus and that the complex formation is necessary for RANKL sorting to the secretory lysosomes. It was also shown that each structural domain of OPG is indispensable for exerting OPG function as a traffic regulator. In particular, the latter domains of OPG, whose physiologic functions have been unclear, were indicated to sort RANKL molecules to lysosomes from the Golgi apparatus. In addition, the overexpression of RANK-OPG chimeric protein, which retained OPG function as a decoy receptor but lost the function as a traffic regulator, inhibited endogenous OPG function as a traffic regulator selectively in osteoblastic cells and resulted in the upregulation of osteoclastogenic ability despite the increased number of decoy receptor molecules. Conclusively, OPG function as a traffic regulator for RANKL is crucial for regulating osteoclastogenesis at least as well as that as a decoy receptor.

Vps33a mediates RANKL storage in secretory lysosomes in osteoblastic cells.

Previous studies have indicated that the amount of RANKL expressed on the cell surface of osteoblasts or bone marrow stromal cells (BMSCs) is considered an important factor determining the extent of osteoclast activation. However, subcellular trafficking of RANKL and its regulatory mechanisms in osteoblastic cells is still unclear. In this study, we showed that RANKL is predominantly localized in lysosomal organelles, but little is found on the cell surface of osteoblastic cells. We also showed that RANKL is relocated to the plasma membrane in response to stimulation with RANK-Fc-coated beads, indicating that the lysosomal organelles where RANKL is localized function as secretory lysosomes. In addition, using a protein pull-down method, we identified vacuolar protein sorting (Vps)33a as interacting with the cytoplasmic tail of RANKL. Furthermore, knockdown of Vps33a expression reduced the lysosomal storage of RANKL and caused the accumulation of newly synthesized RANKL in the Golgi apparatus, indicating that Vps33a is involved in transporting RANKL from the Golgi apparatus to secretory lysosomes. We also showed that suppression of Vps33a affects the cell surface expression level of RANKL and disrupts the regulated behavior of RANKL. These results suggest that RANKL storage in secretory lysosomes is important to control osteoclast activation and to maintain bone homeostasis.

LXR alpha transactivates mouse organic solute transporter alpha and beta via IR-1 elements shared with FXR.

PURPOSE: Recently identified organic solute transporter (Ost) alpha and beta are located on the basolateral membrane of enterocytes and may be responsible for the intestinal absorption of many substrates including bile acids. In the present study, the mechanism governing the transcriptional regulation of their expression was investigated. METHODS AND RESULTS: To clarify the transcriptional regulation of Osts, reporter gene assays were performed using mouse Ostalpha/beta promoter-luciferase reporter constructs. Co-transfection of the constructs with farnesoid X receptor (FXR) and retinoid X receptor alpha (RXRalpha) or liver X receptor alpha (LXRalpha) and RXRalpha into Caco-2 cells induced the transcriptional activities of both Ost alpha and beta and further increases were observed following treatment with each agonist. Sequence analyses indicated the presence of IR-1 regions in Ostalpha and Ostbeta promoters, which was confirmed by the finding that the deletion of IR-1 sequences abolished the response to FXR and LXRalpha. Furthermore, mutations in IR-1 reduced the FXR- and LXRalpha-dependent transactivation of Ostalpha/beta. Together with the detection of direct binding of FXR/RXRalpha and LXRalpha/RXRalpha to the IR-1 elements, the presence of functional FXRE/LXRE was revealed in the promoter region of both Ostalpha and Ostbeta. In addition, the stimulatory effect of FXR/RXRalpha and LXRalpha/RXRalpha on Ostalpha, but not on Ostbeta, was further enhanced by HNF-4alpha. CONCLUSIONS: It was concluded that LXRalpha/RXRalpha transcriptionally regulate mouse Ostalpha/beta via IR-1 elements shared with FXR/RXRalpha. Exposure to FXR/LXRalpha modulators may affect the disposition of Ostalpha/beta substrates.