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.

Mechanisms of RANKL delivery to the osteoclast precursor cell surface.

RANKL is biosynthesized as a single-pass transmembrane protein, and soluble molecular species are produced by enzymatic cleavage at the cell surface. Recent studies have revealed that the transmembrane form of RANKL is a major contributor to the induction of mature osteoclasts under physiological conditions in vivo. In osteoblasts and osteocytes, most newly synthesized RANKL forms a protein complex with OPG and is selectively sorted to lysosomes. Only the small proportion of newly synthesized RANKL that does not form a complex with OPG is transported to the cell surface. Then, the transmembrane RANKL is delivered to the surface of osteoclast precursors to stimulate RANK, and induces the activation of a downstream signaling pathway. The ability of osteocytes to support the formation of mature osteoclasts appears to depend upon the amount of RANKL molecules present on their cell surfaces. However, the way in which osteocytes, which are embedded in the bone matrix, deliver transmembrane RANKL to the cell surfaces of osteoclast precursors, which are localized in the bone marrow cavity, remains to be elucidated. Further studies are needed to clarify the mechanisms underlying this process.

The induction of RANKL molecule clustering could stimulate early osteoblast differentiation.

We recently found that the membrane-bound receptor activator of NF-κB ligand (RANKL) on osteoblasts works as a receptor to stimulate osteoblast differentiation, however, the reason why the RANKL-binding molecules stimulate osteoblast differentiation has not been well clarified. Since the induction of cell-surface receptor clustering is known to lead to cell activation, we hypothesized that the induction of membrane-RANKL clustering on osteoblasts might stimulate osteoblast differentiation. Immunoblotting showed that the amount of RANKL on the membrane was increased by the RANKL-binding peptide OP3-4, but not by osteoprotegerin (OPG), the other RANKL-binding molecule, in Gfp-Rankl-transfected ST2 cells. Observation under a high-speed atomic force microscope (HS-AFM) revealed that RANKL molecules have the ability to form clusters. The induction of membrane-RANKL-OPG-Fc complex clustering by the addition of IgM in Gfp-Rankl-transfected ST2 cells could enhance the expression of early markers of osteoblast differentiation to the same extent as OP3-4, while OPG-Fc alone could not. These results suggest that the clustering-formation of membrane-RANKL on osteoblasts could stimulate early osteoblast differentiation.

Peptide drugs accelerate BMP-2-induced calvarial bone regeneration and stimulate osteoblast differentiation through mTORC1 signaling.

Both W9 and OP3-4 were known to bind the receptor activator of NF-κB ligand (RANKL), inhibiting osteoclastogenesis. Recently, both peptides were shown to stimulate osteoblast differentiation; however, the mechanism underlying the activity of these peptides remains to be clarified. A primary osteoblast culture showed that rapamycin, an mTORC1 inhibitor, which was recently demonstrated to be an important serine/threonine kinase for bone formation, inhibited the peptide-induced alkaline phosphatase activity. Furthermore, both peptides promoted the phosphorylation of Akt and S6K1, an upstream molecule of mTORC1 and the effector molecule of mTORC1, respectively. In the in vivo calvarial defect model, W9 and OP3-4 accelerated BMP-2-induced bone formation to a similar extent, which was confirmed by histomorphometric analyses using fluorescence images of undecalcified sections. Our data suggest that these RANKL-binding peptides could stimulate the mTORC1 activity, which might play a role in the acceleration of BMP-2-induced bone regeneration by the RANKL-binding peptides.

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.

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.

Metabolic profiling to identify potential serum biomarkers for gastric ulceration induced by nonsteroid anti-inflammatory drugs.

Nonsteroid anti-inflammatory drugs (NSAIDs) are among the most frequently prescribed drugs currently available. The most frequently reported serious side effects associated with NSAIDs are gastric mucosal ulceration and gastric hemorrhage. Presently, these side effects are only detectable by endoscopy, however, and no biomarkers have yet been identified. The ability to identify serum biomarkers would likely improve the safety of NSAID use. In this study we performed capillary electrophoresis-mass spectrometry (CE-MS)-based metabolomic profiling in stomach extract and serum from rats administered NSAIDs. Results showed drug-induced decreases in levels of citrate, cis-aconitate, succinate, 3-hydroxy butanoic acid, o-acetyl carnitine, proline, and hydroxyproline. We consider that these changes are due to NSAID-induced depression of mitochondrial function and activation of collagenase by lesions in the stomach. In addition, four of these changes in metabolite levels in the stomach were significantly correlated with changes in the serum. While further study is needed to clarify the mechanism of change in the level of these biomarkers, limitation of indications, and extrapolation to humans, these new serum biomarker candidates of gastric injury may be useful in the monitoring of NSAID-induced tissue damage.

Contribution of protein binding, lipid partitioning, and asymmetrical transport to drug transfer into milk in mouse versus human.

PURPOSE: Drug transfer into milk is a general concern during lactation. Because data are limited in human subjects, particularly for new drugs, experimental animal models of lactational drug transfer are critical. This study analyzed drug transfer into milk in a mouse model, as well as the contribution of similar and dissimilar host factors. METHODS: Milk/plasma drug concentration ratios (M/P) in humans were obtained from the literature, while those in mice were determined experimentally after intraperitoneal implantation of osmotic pumps containing drugs of interest. Unbound drug fractions in plasma and milk were determined in vitro for both species. RESULTS: M/P values were determined for 27 drugs in mice and compared with those in human. These values were increased in mice for 21 drugs; the geometric mean ratio of M/P between mice and humans was 2.03 (95% CI, 1.42-2.89) for all 27 drugs. These results were reasonably explained by the relatively high protein and lipid content in mouse milk. Moreover, species-specific asymmetrical transport systems were suggested for 9 drugs. CONCLUSIONS: In addition to species-specific differences in milk protein and lipid content, variances in asymmetrical drug transport across the mammary epithelium may yield discordant M/P values in humans and mice.

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.

[The potential of RANKL reverse signaling as a novel pharmacological target].

RANKL is a bidirectional signaling molecule; activation of the RANKL reverse signaling is triggered by the cross-linking of multiple RANKL trimers to form a molecular cluster. In adults, RANKL is expressed primarily in bone tissue and the immune system. In bone tissue, the functions of RANKL forward and reverse signaling have been separately analyzed; the forward signaling is responsible for bone resorption by inducing the maturation of osteoclasts, while the reverse signaling is activated by vesicular RANK, one of the osteoclast-derived coupling factors, leading to the promotion of early osteoblast differentiation. In the immune system, RANKL is expressed on lymphocytes and the interaction with antigen-presenting cells such as RANK-expressing dendritic cells should result in the activation of both the forward and the reverse signaling, however, the discrimination of the function of each pathway has not been achieved yet. To activate RANKL reverse signaling, a multivalent protein construct of anti-RANKL single-chain Fv multimerized with peptide linkers would be effective, since this type of construct can induce cluster formation by cross-linking RANKL trimers. It was also found that the divalent construct with minimal molecular size can cross-link the RANKL trimer without affecting the forward signaling. On the other hand, the design of constructs to inhibit the activation of RANKL reverse signaling needs to be tested experimentally. Particularly, it may be necessary to obtain small molecules that act on the RANKL intracellular domain to achieve selective inhibition of the reverse signaling without affecting the forward signaling.

Study on Horizon Scanning with a Focus on the Development of AI-Based Medical Products: Citation Network Analysis.

Horizon scanning for innovative technologies that might be applied to medical products and requires new assessment approaches to prepare regulators, allowing earlier access to the product for patients and an improved benefit/risk ratio. The purpose of this study is to confirm that citation network analysis and text mining for bibliographic information analysis can be used for horizon scanning of the rapidly developing field of AI-based medical technologies and extract the latest research trend information from the field. We classified 119,553 publications obtained from SCI constructed with the keywords "conventional," "machine-learning," or "deep-learning" and grouped them into 36 clusters, which demonstrated the academic landscape of AI applications. We also confirmed that one or two close clusters included the key articles on AI-based medical image analysis, suggesting that clusters specific to the technology were appropriately formed. Significant research progress could be detected as a quick increase in constituent papers and the number of citations of hub papers in the cluster. Then we tracked recent research trends by re-analyzing "young" clusters based on the average publication year of the constituent papers of each cluster. The latest topics in AI-based medical technologies include electrocardiograms and electroencephalograms (ECG/EEG), human activity recognition, natural language processing of clinical records, and drug discovery. We could detect rapid increase in research activity of AI-based ECG/EEG a few years prior to the issuance of the draft guidance by US-FDA. Our study showed that a citation network analysis and text mining of scientific papers can be a useful objective tool for horizon scanning of rapidly developing AI-based medical technologies.

Study on Horizon Scanning by Citation Network Analysis and Text Mining: A Focus on Drug Development Related to T Cell Immune Response.

Certain innovative technologies applied to medical product development require novel evaluation approaches and/or regulations. Horizon scanning for such technologies will help regulators prepare, allowing earlier access to the product for patients and an improved benefit/risk ratio. This study investigates whether citation network analysis and text mining of scientific papers could be a tool for horizon scanning in the field of immunology, which has developed over a long period, and attempts to grasp the latest research trends. As the result of the analysis, the academic landscape of the immunology field was identified by classifying 90,450 papers (obtained from PubMED) containing the keyword "immune* and t lymph*" into 38 clusters. The clustering was indicative of the research landscape of the immunology field. To confirm this, immune checkpoint inhibitors were used as a retrospective test topic of therapeutics with new mechanisms of action. Retrospective clustering around immune checkpoint inhibitors was found, supporting this approach. The analysis of the research trends over the last 3 to 5 years in this field revealed several candidate topics, including ARID1A gene mutation, CD300e, and tissue resident memory T cells, which shows notable progress and should be monitored for future possible product development. Our results have demonstrated the possibility that citation network analysis and text mining of scientific papers can be a useful objective tool for horizon scanning of life science fields such as immunology.

Off-target serine/threonine kinase 10 inhibition by erlotinib enhances lymphocytic activity leading to severe skin disorders.

Skin disorders are among the most common adverse events related to treatment with epidermal growth factor receptor (EGFR) kinase inhibitors, and of these, erlotinib is known to cause more frequent and severe skin disease than other agents in this class. Although previous reports have shown that cutaneous manifestations are triggered by the inhibition of multiple EGFR-related homeostatic functions of the skin, this mechanism alone cannot explain the differences in frequency and severity of skin disorders caused by different kinase inhibitors. In this study, we focused on the relationship between the off-target kinase inhibition and aggravation of skin disorders. Based on calculations using reported K(d) values and plasma drug concentrations, serine/threonine kinase 10 (STK10) and Ste20-like kinase (SLK) were selected as candidates preferentially inhibited by erlotinib over gefitinib. In vitro experiments confirmed that STK10 and SLK kinase activity are inhibited by erlotinib at clinical concentrations, whereas only STK10 is slightly inhibited by gefitinib. It was also shown that erlotinib up-regulated lymphocytic responses such as interleukin (IL)-2 secretion and cell migration at clinical concentrations, whereas gefitinib did not affect lymphocyte activity. Moreover, small interfering RNA experiments revealed that STK10 plays a major role in up-regulation of the lymphocytic responses induced by erlotinib treatment. Finally, the role of erlotinib-induced lymphocyte activation was assessed in vivo using irritant hypersensitivity models. The results indicated that erlotinib aggravates cutaneous inflammatory reactions through the activation of lymphocytic responses such as IL-2 secretion and cell migration. These results demonstrated that off-target inhibition of STK10 by erlotinib enhances lymphocytic responses, which lead to the aggravation of skin inflammation.

Serum metabolomics reveals γ-glutamyl dipeptides as biomarkers for discrimination among different forms of liver disease.

BACKGROUND & AIMS: We applied a metabolome profiling approach to serum samples obtained from patients with different liver diseases, to discover noninvasive and reliable biomarkers for rapid-screening diagnosis of liver diseases. METHODS: Using capillary electrophoresis and liquid chromatography mass spectrometry, we analyzed low molecular weight metabolites in a total of 248 serum samples obtained from patients with nine types of liver disease and healthy controls. RESULTS: We found that γ-glutamyl dipeptides, which were biosynthesized through a reaction with γ-glutamylcysteine synthetase, were indicative of the production of reduced glutathione, and that measurement of their levels could distinguish among different liver diseases. Multiple logistic regression models facilitated the discrimination between specific and other liver diseases and yielded high areas under receiver-operating characteristic curves. The area under the curve values in training and independent validation data were 0.952 and 0.967 in healthy controls, 0.817 and 0.849 in drug-induced liver injury, 0.754 and 0.763 in asymptomatic hepatitis B virus infection, 0.820 and 0.762 in chronic hepatitis B, 0.972 and 0.895 in hepatitis C with persistently normal alanine transaminase, 0.917 and 0.707 in chronic hepatitis C, 0.803 and 0.993 in cirrhosis type C, and 0.762 and 0.803 in hepatocellular carcinoma, respectively. Several γ-glutamyl dipeptides also manifested potential for differentiating between nonalcoholic steatohepatitis and simple steatosis. CONCLUSIONS: γ-Glutamyl dipeptides are novel biomarkers for liver diseases, and varying levels of individual or groups of these peptides have the power to discriminate among different forms of hepatic disease.

Analysis and prediction of drug transfer into human milk taking into consideration secretion and reuptake clearances across the mammary epithelia.

Medication use during lactation is a matter of concern due to unnecessary exposure of infants to drugs. Although some studies have predicted the extent of drug transfer into milk from physicochemical parameters, drug concentration-time profiles in milk have not been predicted or even analyzed yet. In the present study, a drug transfer model was constructed by defining secretion and reuptake clearances (CL(sec) and CL(re), respectively) between milk and plasma based on unbound drug concentrations. Through the use of this model, drug concentration-time profiles were analyzed in human milk and plasma based on data collected from the literature. CL(sec) and CL(re) values were obtained successfully for 49 drugs. Because the CL(sec) and CL(re) values were in general similar for each drug, transport across the mammary epithelia was mediated by passive diffusion in most cases. This study demonstrated that the logarithmically transformed values of CL(sec) and CL(re) can be predicted from physicochemical parameters with adjusted R(2) values of 0.705 and 0.472, respectively. Moreover, 66.7 and 77.8% of predicted CL(sec) and CL(re) values were within 3-fold error ranges of the observed values for 45 and 27 drugs, respectively. Finally, time profiles of drug concentrations in milk were simulated from physicochemical parameters. The milk-to-plasma area under the concentration-time curve ratios also were predicted successfully within 3-fold error ranges of the observed values for 71.9% of the drugs analyzed. The method described herein therefore may be useful in predicting drug concentration-time profiles in human milk for newly developed drugs.

RANKL as a key figure in bridging between the bone and immune system: Its physiological functions and potential as a pharmacological target.

RANKL is a key molecule that bridges the bone and immune systems. RANKL stimulation activates a signaling pathway downstream of RANK, thereby determining the extent of bone resorption by inducing osteoclast maturation. The signaling pathway also regulates the development of different lymphoid organs, including the thymus, lymph nodes, and Peyer's patches, and plays an essential role in the establishment of immune tolerance. Such characteristics have continued to attract the attention of many researchers, even though it is now more than 20 years since RANKL was identified as a novel member of the TNF superfamily. Recently, we found that RANKL can function not only as a signal input molecule but also as a signal receptor to activate the RANKL reverse signaling pathway, which mediates the coupling between bone resorption and formation. This new finding may provide an important basis for elucidating the complex physiological roles played by RANKL.

Characterization of inhibitory effect of carbapenem antibiotics on the deconjugation of valproic acid glucuronide.

Serum concentrations of valproic acid (VPA) are markedly decreased by coadministration of carbapenem antibiotics (CBPMs). Although inhibition of deconjugation of VPA-glucuronide (VPA-G) to VPA by CBPMs has been proposed as one of the mechanisms to account for this drug-drug interaction, little information is available on the mode of inhibition. In the present study, we characterized the enzyme involved in the deconjugation of VPA-G by using human and rat liver cytosol. It is suggested that 1) deconjugation activity inhibited by CBPMs may be selective for VPA-G, 2) deconjugation of VPA-G may be mediated by enzyme(s) other than ß-glucuronidase, and 3) the irreversible inactivation may be responsible for the inhibition of deconjugation of VPA-G by CBPMs. Finally, the kinetic parameters for inactivation (K'(app) and k(inact)) were determined for four CBPMs of diverse structure from in vitro experiments. Based on the results of simulation analyses with these parameters and the degradation rate constant of the putative VPA-G deconjugation enzyme obtained from experiments using rats, it is probable that the deconjugation enzyme for VPA-G in the liver is rapidly and mostly inactivated by these CBPMs under clinical situations.

Quantitative prediction of in vivo profiles of CYP3A4 induction in humans from in vitro results with a reporter gene assay.

Although primary human hepatocytes are commonly used for induction studies, the evaluation method is associated with several problems. More recently, a reporter gene assay has been suggested to be an alternative, although the contribution of only transfected nuclear receptors can be evaluated. The aim of the present study was to establish a method by which the extent of in vivo CYP3A4 induction in humans can be quantitatively predicted based on in vitro results with a reporter gene assay. From previous reports, we calculated in vivo induction ratios (R(in vivo)) caused by prototypical inducers based on the alterations in the hepatic intrinsic clearance of probe drugs. Next, we derived equations by which these R(in vivo) values can be predicted from the results of a reporter gene assay. To use the data obtained from a reporter gene assay, rifampicin was used as a reference drug. The correction coefficient (CC), which is used to quantitatively correlate the activity of inducers between in vitro and in vivo situations, was calculated by comparing the predicted data with the observed R(in vivo) values for rifampicin. With the calculated CC value, good correlations were found between the predicted and observed R(in vivo) values for other inducers such as phenobarbital, phenytoin, and omeprazole. Taken together, with the equations derived in the present study, we have been able to predict the extent of in vivo induction of human CYP3A4 by inducers in a time-dependent and quantitative manner from in vitro data.