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Growth factors can stimulate tissue regeneration, but the side effects and low effectiveness associated with suboptimal delivery systems have impeded their use in translational regenerative medicine. Physiologically, growth factor interactions with the extracellular matrix control their bioavailability and spatiotemporal cellular signalling. Growth factor signalling is also controlled at the cell surface level via binding to heparan sulfate proteoglycans, such as syndecans. Here we show that vascular endothelial growth factor-A (VEGF-A) and platelet-derived growth factor-BB (PDGF-BB) that were engineered to have a syndecan-binding sequence trigger sustained low-intensity signalling (tonic signalling) and reduce the desensitization of growth factor receptors. We also show in mouse models that tonic signalling leads to superior morphogenetic activity, with syndecan-binding growth factors inducing greater bone regeneration and wound repair than wild-type growth factors, as well as reduced tumour growth (associated with PDGF-BB delivery) and vascular permeability (triggered by VEGF-A). Tonic signalling via syndecan binding may also enhance the regenerative capacity of other growth factors. Attaching a syndecan-binding domain to vascular endothelial and platelet-derived growth factor variants enhances their binding to syndecans and triggers tonic signalling for enhanced bone regeneration and wound repair in mice.

A previously reported ion-exchange/extraction chromatographic scheme for the recovery of radiostrontium from urine for subsequent determination is systematically optimized to minimize reagent consu...

Numerous chemical substances are used in the semiconductor manufacturing process, and homogeneity and quality control of surface treatment are performed through precise control of chemical substances in the process. The repeatability and reproducibility of each process is a fab’s greatest concern, and even a slight deviation from specifications can lead to expensive equipment contamination and wafer scrap. In this study, we propose a real-time big data analysis system that integrates and manages the state of substances being measured at numerous points in a factory, and monitors them in real time, and delivers an alarm message to the manager when the preset upper/lower limit is exceeded. In addition, we propose an artificial intelligence prediction model that predicts the state of matter by using accumulated data as learning datasets. The data analysis and monitoring system and AI prediction model are designed to continuously improve accuracy through additional learning of related datasets in the future.

A novel engineered form of interleukin-1 receptor antagonist augments the regenerative activity of recombinant growth factors., Although growth factors (GFs) are key molecules for regenerative medicine, their use has been limited by issues associated with suboptimal delivery systems and incomplete understanding of their signaling dynamics. Here, we explored how proinflammatory signals affect GF regenerative potential. Using bone regeneration in mouse, we found that the regenerative capacity of two clinically relevant GFs (BMP-2 and PDGF-BB) is impaired by interleukin-1 receptor (IL-1R1). Mechanistically, IL-1R1 activation in bone-forming cells desensitizes them to GFs and accelerates senescence. Moreover, administration of the GFs triggers IL-1 release by macrophages. To provide localized and sustained IL-1R1 inhibition, we engineered IL-1R antagonist (IL-1Ra) to bind the extracellular matrix (ECM) very strongly and demonstrate that codelivering GFs with ECM-binding IL-1Ra induces superior regeneration. Thus, we highlight that GF regenerative activity is hindered by proinflammatory signals, and GF-based therapies should integrate immunomodulation. Particularly, ECM-binding IL-1Ra holds clinical translational potential by enhancing efficacy of GF therapies.

This chapter compares the performances of multiple Big Data techniques applied for time series forecasting and traditional time series models on three Big Data sets. The traditional time series models, Autoregressive Integrated Moving Average (ARIMA), and exponential smoothing models are used as the baseline models against Big Data analysis methods in the machine learning. These Big Data techniques include regression trees, Support Vector Machines (SVM), Multilayer Perceptrons (MLP), Recurrent Neural Networks (RNN), and long short-term memory neural networks (LSTM). Across three time series data sets used (unemployment rate, bike rentals, and transportation), this study finds that LSTM neural networks performed the best. In conclusion, this study points out that Big Data machine learning algorithms applied in time series can outperform traditional time series models. The computations in this work are done by Python, one of the most popular open-sourced platforms for data science and Big Data analysis.

The posterior nucleus of thalamus (PO) is a higher-order nucleus involved in sensorimotor processing, including nociception. An important characteristic of PO is its wide range of activity profiles that vary across states of arousal, thought to underlie differences in somatosensory perception subject to attention and degree of consciousness. Furthermore, PO loses the ability to downregulate its activity level in some forms of chronic pain, suggesting that regulatory mechanisms underlying the normal modulation of PO activity may be pathologically altered. However, the mechanisms responsible for regulating such a wide dynamic range of activity are unknown. Here, we test a series of hypotheses regarding the function of several presynaptic receptors on both GABAergic and glutamatergic afferents targeting PO in mouse, using acute slice electrophysiology. We found that presynaptic GABAB receptors are present on both GABAergic and glutamatergic terminals in PO, but only those on GABAergic terminals are tonically active. We also found that release from GABAergic terminals, but not glutamatergic terminals, is suppressed by cholinergic activation and that a subpopulation of GABAergic terminals is regulated by cannabinoids. Finally, we discovered the presence of tonic currents mediated by extrasynaptic GABAA receptors in PO that are heterogeneously distributed across the nucleus. Thus we demonstrate that multiple regulatory mechanisms concurrently exist in PO, and we propose that regulation of inhibition, rather than excitation, is the more consequential mechanism by which PO activity can be regulated. NEW & NOTEWORTHY The posterior nucleus of thalamus (PO) is a key sensorimotor structure, whose activity is tightly regulated by inhibition from several nuclei. Maladaptive plasticity in this inhibition leads to severe pathologies, including chronic pain. We reveal here, for the first time in PO, multiple regulatory mechanisms that modulate synaptic transmission within PO. These findings may lead to targeted therapies for chronic pain and other disorders.

Damage to the enteric nervous system (ENS) associated with intestinal inflammation may underlie persistent alterations to gut functions, suggesting that enteric neurons are viable targets for novel therapies. Mesenchymal stem cells (MSCs) offer therapeutic benefits for attenuation of neurodegenerative diseases by homing to areas of inflammation and exhibiting neuroprotective, anti-inflammatory, and immunomodulatory properties. In culture, MSCs release soluble bioactive factors promoting neuronal survival and suppressing inflammation suggesting that MSC-conditioned medium (CM) provides essential factors to repair damaged tissues. We investigated whether MSC and CM treatments administered by enema attenuate 2,4,6-trinitrobenzene-sulfonic acid (TNBS)-induced enteric neuropathy and motility dysfunction in the guinea pig colon. Guinea pigs were randomly assigned to experimental groups and received a single application of TNBS (30 mg/kg) followed by 1 × 106 human bone marrow-derived MSCs, 300 μl CM, or 300 μl unconditioned medium 3 h later. After 7 days, the effect of these treatments on enteric neurons was assessed by histological, immunohistochemical, and motility analyses. MSC and CM treatments prevented inflammation-associated weight loss and gross morphological damage in the colon; decreased the quantity of immune infiltrate in the colonic wall ( P < 0.01) and at the level of the myenteric ganglia ( P < 0.001); prevented loss of myenteric neurons ( P < 0.05) and damage to nerve processes, changes in ChAT, and nNOS immunoreactivity ( P < 0.05); and alleviated inflammation-induced colonic dysmotility (contraction speed; P < 0.001, contractions/min; P < 0.05). These results provide strong evidence that both MSC and CM treatments can effectively prevent damage to the ENS and alleviate gut dysfunction caused by TNBS-induced colitis.

Securities regulators in the world do not actively regulate cryptocurrency yet. For an effective, active securities regulation, I introduce four novel propositions for the regulators. First, the cryptocurrency technology and its peer-to-peer network are meaningless without the activities of the involved people. Second, the private key of cryptocurrency should be utilized as an identification tool. Third, the active regulation should include a mandatory reporting provision of cryptocurrency transactions and balance. Fourth, the transaction size and ledger length of cryptocurrency should be used as regulatory risk measures. My propositions are founded on a combined analysis of law, finance, math, and technology. Then, I discuss a possible unification of currencies across the globe, with the potential to establish an international cryptocurrency authority.

The posterior thalamic nucleus (PO) is a higher order nucleus heavily implicated in the processing of somatosensory information. We have previously shown in rodent models that activity in PO is tightly regulated by inhibitory inputs from a GABAergic nucleus known as the zona incerta (ZI). The level of incertal inhibition varies under both physiological and pathological conditions, leading to concomitant changes in PO activity. These changes are causally linked to variety of phenomena from altered sensory perception to pathological pain. ZI regulation of PO is mediated by GABAA and GABAB receptors (GABAAR and GABABR) that differ in their binding kinetics and their electrophysiological properties, suggesting that each may have distinct roles in incerto-thalamic regulation. We developed a computational model to test this hypothesis. We created a two-cell Hodgkin-Huxley model representing PO and ZI with kinetically realistic GABAAR- and GABABR-mediated synapses. We simulated spontaneous and evoked firing in PO and observed how these activities were affected by inhibition mediated by each receptor type. Our model predicts that spontaneous PO activity is preferentially regulated by GABABR-mediated mechanisms, while evoked activity is preferentially regulated by GABAAR. Our model also predicts that modulation of ZI firing rate and synaptic GABA concentrations is an effective means to regulate the incerto-thalamic circuit. The coupling of distinct functions to GABAAR and GABABR presents an opportunity for the development of therapeutics, as particular aspects of incerto-thalamic regulation can be targeted by manipulating the corresponding receptor class. Thus these findings may provide interventions for pathologies of sensory processing.

The immune system plays a central role in tissue repair and regeneration. Indeed, the immune response to tissue injury is crucial in determining the speed and the outcome of the healing process, including the extent of scarring and the restoration of organ function. Therefore, controlling immune components via biomaterials and drug delivery systems is becoming an attractive approach in regenerative medicine, since therapies based on stem cells and growth factors have not yet proven to be broadly effective in the clinic. To integrate the immune system into regenerative strategies, one of the first challenges is to understand the precise functions of the different immune components during the tissue healing process. While remarkable progress has been made, the immune mechanisms involved are still elusive, and there is indication for both negative and positive roles depending on the tissue type or organ and life stage. It is well recognized that the innate immune response comprising danger signals, neutrophils and macrophages modulates tissue healing. In addition, it is becoming evident that the adaptive immune response, in particular T cell subset activities, plays a critical role. In this review, we first present an overview of the basic immune mechanisms involved in tissue repair and regeneration. Then, we highlight various approaches based on biomaterials and drug delivery systems that aim at modulating these mechanisms to limit fibrosis and promote regeneration. We propose that the next generation of regenerative therapies may evolve from typical biomaterial-, stem cell-, or growth factor-centric approaches to an immune-centric approach. Statement of Significance Most regenerative strategies have not yet proven to be safe or reasonably efficient in the clinic. In addition to stem cells and growth factors, the immune system plays a crucial role in the tissue healing process. Here, we propose that controlling the immune-mediated mechanisms of tissue repair and regeneration may support existing regenerative strategies or could be an alternative to using stem cells and growth factors. The first part of this review we highlight key immune mechanisms involved in the tissue healing process and marks them as potential target for designing regenerative strategies. In the second part, we discuss various approaches using biomaterials and drug delivery systems that aim at modulating the components of the immune system to promote tissue regeneration.

Pain after spinal cord injury (SCI-Pain) is one of the most debilitating sequelae of spinal cord injury, characterized as relentless, excruciating pain that is largely refractory to treatments. Although it is generally agreed that SCI-Pain results from maladaptive plasticity in the pain processing pathway that includes the spinothalamic tract and somatosensory thalamus, the specific mechanisms underlying the development and maintenance of such pain are yet unclear. However, accumulating evidence suggests that SCI-Pain may be causally related to abnormal thalamic disinhibition, leading to hyperactivity in the posterior thalamic nucleus (PO), a higher-order nucleus involved in somatosensory and pain processing. We previously described several presynaptic mechanisms by which activity in PO is regulated, including the regulation of GABAergic as well as glutamatergic release by presynaptic metabotropic gamma-aminobutyric acid (GABAB) receptors. Using acute slices from a mouse model of SCI-Pain, we tested whether such mechanisms are affected by SCI-Pain. We reveal 2 abnormal changes in presynaptic signaling in the SCI-Pain condition. The substantial tonic activation of presynaptic GABAB receptors on GABAergic projections to PO—characteristic of normal animals—was absent in mice with SCI-Pain. Also absent in mice with SCI-Pain was the normal presynaptic regulation of glutamatergic projections to the PO by GABAB receptors. The loss of these regulatory presynaptic mechanisms in SCI-Pain may be an element of maladaptive plasticity leading to PO hyperexcitability and behavioral pain, and may suggest targets for development of novel treatments. Perspective This report presents synaptic mechanisms that may underlie the development and maintenance of SCI-Pain. Because of the difficulty in treating SCI-Pain, a better understanding of the underlying neurobiological mechanisms is critical, and may allow development of better treatment modalities.

We investigated the distribution of cannabinoid receptor subtypes 1 and 2 in the detrusor of different species and studied the effects of cannabinoid receptor 1 and 2 agonists on bladder function.Cannabinoid receptor 1 and 2 expression was studied with Western blot and immunohistochemistry in rat, monkey and human detrusors. Co-staining was done for markers of sensory nerves using calcitonin gene-related peptide (Euro-Diagnostica, Malmö, Sweden) and transient receptor potential vanilloid 1, and for cholinergic nerves using VAChT (Santa Cruz Biotechnology, Santa Cruz, California). Actions of the endogenous cannabinoid receptor-1 and 2 agonist anandamide (Sigma(R)), and the cannabinoid receptor 1 and 2 agonist CP55,940 (Sigma) on isolated detrusor and during cystometry in conscious rats were recorded.Higher expression of cannabinoid receptor 2 but not cannabinoid receptor 1 was noted in the mucosa than in the detrusor. Compared to the detrusor larger amounts of cannabinoid receptor 2 containing nerves that also expressed transient receptor potential vanilloid 1 or calcitonin gene-related peptide were observed in the suburothelium. Nerve fibers containing cannabinoid receptor 2 and VAChT were located in the detrusor. Neither anandamide nor CP55,940 affected isolated detrusor carbachol (Sigma) contractions. Nerve contractions were enhanced by 10 muM anandamide and decreased by 10 muM CP55,940 (p0.05). In vivo CP55,940 increased the micturition interval by 46% and threshold pressure by 124% (p0.05). Anandamide increased threshold pressure by 26% and decreased the micturition interval by 19% (p0.05 and0.01, respectively).The distribution of cannabinoid receptor 2 on sensory nerves and in the urothelium, and effects by CP55940 on the micturition interval and threshold pressure suggest a role for cannabinoid receptor 2 in bladder afferent signals. Co-expression of VAChT and cannabinoid receptor 2, and effects by CP55940 on nerve contractions suggest a cannabinoid receptor 2 mediated modulatory effect on cholinergic nerve activity. Anandamide may not be a good tool for cannabinoid receptor studies due to its activity at other receptors.

Horseshoe kidney (HSK) is the most common renal anomaly. Reports of the incidence of renal cell carcinoma (RCC) in HSK are conflicting. Very few cases of isthmus-located RCC have been reported in the literature. We report a unique case of an isthmus-located RCC. Proper vascular and tumor imaging prior to surgery is key to successful tumor removal.

Rationale: Cardiac fibroblasts are critical to proper heart function through multiple interactions with the myocardial compartment, but appreciation of their contribution has suffered from incomplete characterization and lack of cell-specific markers. Objective: To generate an unbiased comparative gene expression profile of the cardiac fibroblast pool, identify and characterize the role of key genes in cardiac fibroblast function, and determine their contribution to myocardial development and regeneration. Methods and Results: High-throughput cell surface and intracellular profiling of cardiac and tail fibroblasts identified canonical mesenchymal stem cell and a surprising number of cardiogenic genes, some expressed at higher levels than in whole heart. While genetically marked fibroblasts contributed heterogeneously to interstitial but not cardiomyocyte compartments in infarcted hearts, fibroblast-restricted depletion of one highly expressed cardiogenic marker, T-box 20, caused marked myocardial dysmorphology and perturbations in scar formation on myocardial infarction. Conclusions: The surprising transcriptional identity of cardiac fibroblasts, the adoption of cardiogenic gene programs, and direct contribution to cardiac development and repair provoke alternative interpretations for studies on more specialized cardiac progenitors, offering a novel perspective for reinterpreting cardiac regenerative therapies.

Ovarian cancer is the leading cause of death from gynaecological malignancy. Despite improved detection and treatment options, relapse rates remain high. Combining immunotherapy with the current standard treatments may provide an improved prognosis, however, little is known about how standard chemotherapy affects immune potential (particularly T cells) over time, and hence, when to optimally combine it with immunotherapy (e.g., vaccines). Herein, we assess the frequency and ratio of CD8+ central memory and effector T cells as well as CD4+ effector and regulatory T cells (Tregs) during the first 18 weeks of standard chemotherapy for ovarian cancer patients. In this pilot study, we observed increased levels of recently activated Tregs with tumor migrating ability (CD4+CD25hiFoxp3+CD127−CCR4+CD38+ cells) in patients when compared to controls. Although frequency changes of Tregs as well as the ratio of effector T cells to Tregs were observed during treatment, the Tregs consistently returned to pre-chemotherapy levels at the end of treatment. These results indicate T cell subset distributions associated with recurrence may be largely resistant to being “re-set” to healthy control homeostatic levels following standard treatments. However, it may be possible to enhance T effector to Treg ratios transiently during chemotherapy. These results suggest personalized immune monitoring maybe beneficial when combining novel immuno-therapeutics with standard treatment for ovarian cancer patients.

Immunotherapy and preventative cancer vaccines offer the hope of controlling cancer in humans with few of the undesirable side effects associated with current chemotherapy-based methods. Particulate vaccines are effectively taken up by dendritic cells, inducing both T-cell and antibody responses. Virus-like particles (VLPs) have shown preventive efficacy against cervical cancer. Herein we review a range of leading particle-based vaccine approaches: VLPs, immunostimulating complexes, liposomes, synthetic nanoparticles and microparticles (both biocompatible and biodegradable, such as polylactide-co-glycolides and poly[D,L-lactic-co-glycolic] acid). Immune efficacy, regulatory and safety issues, as well the application of immunotherapeutics to immunosuppressed patients with high levels of Tregs are also discussed. We argue that developmental issues (cost and intellectual property lifespan) and the lack of reliable preclinical animal models, rather than the lack of innovative vaccine approaches, currently present a major obstacle to rapid and effective vaccine development.

Visual acuity measurement is a critical tool in the clinical assessment of visual function and in the identification of changes affecting the visual system. Traditionally, visual acuity is measured with letter charts with black letters presented in high contrast against a white background. While authoritative bodiesl.2 have made various recommendations about test chart design and calibration of optotypes, there is not a universally accepted standard. It has become common in clinical research to use charts which follow the design principles of Bailey and Lovie3 which ensure that the task is essentially the same at all size levels so that size remains the only significant variable. This requires that the chart has rows of optotypes descending in size in constant ratio steps, there should be the same number of optotypes at each size level, the spacing between adjacent optotypes and successive rows should be proportional to optotype size, and optotypes should have approximately equal legibility and they should be combined so that each row forms a set with equal difficulty. Spacing ratios can have a significant effect on the visual acuity scores4 of normally sighted subjects and in patients with amblyopia or with macular disorders, visual acuity performance can become substantially reduced when the task becomes more crowded and congested.5