Notes

Appendage pathologies recognized post-mortem in patients receiving opioid agonist answer to opioid use problem: any across the country 2-year cross-sectional research.
The here shown data support the article "The Sand Equation and its Enormous Practical Relevance for Solid-State Lithium Metal Batteries". [1] In this data set, all cells include the poly (ethylene oxide)-based solid polymer electrolyte (PEO-based SPE). The behaviour in symmetric Li||Li cells are provided in a three-electrode cell setup, thus with the use of a reference electrode. Moreover, the Sand behaviour is reported for varied negative electrodes with the focus on polarization onset, defined as transition time. The data of the electrochemical response after the variation of additional parameter, i.e. SPE thicknesses, are shown, as well. The theoretical Sand equation is linked with practically obtained values also for varied Li salt concentration. Finally, the discharge behaviour is provided including further charge/discharge cycles with the use of LiNi0.6Mn0.2Co0.2O2 (NMC622) as active material for positive electrodes.This data article is related to the publication 'DNA polymerase ι interacts with both the TRAF-like and UBL1-2 domains of USP7' [1]. Ubiquitin-specific protease 7 (USP7) is an essential deubiquitinating enzyme with characterized substrates in many cellular pathways. Established USP7 substrates interact with one of two major binding sites, located on the N-terminal TRAF-like (TRAF) domain and the first and second UBL domains (UBL1-2) within the C-terminal tail. In this article, we present complete nuclear magnetic resonance (NMR) spectroscopy data used to characterize direct interactions between USP7 and its novel substrate DNA polymerase iota (Pol ι), that binds both TRAF and UBL1-2 domains. read more The detailed description of the NMR data, and the methodology used for processing and analysis, will add to the reproducibility and transparency of the companion research article, as well as aid in the reuse of these data.This article introduces the first dataset of 1H- nuclear magnetic resonance - based metabolomic spectroscopy of saliva samples from women with temporomandibular disorders (TMD) of muscular origin. link2 Our data generated a metabolomic profile for TMD of muscular origin. The samples were separated in two groups Experimental Group (EG) represented by women with TMD who were submitted to a conservative treatment compared with a Control group (CG) of women without TMD. These data also include information about time of onset the pain, measures of pain obtained before and after the treatment by the visual analogic scale. Information about some psychological instruments as pain catrastophizing scale, hospital anxiety and depression, and oral health impact profile-14 were also obtained in the CG and in the EG before submitted to the conservative treatment (EG-pre) and at the end of the treatment (EG-post). Those instruments help differentiate the groups, due to the psychosocial impact that TMD has on their lives perpetuating the physiological imbalance of the stomatognathic system. Raw data are available at https//data.mendeley.com/datasets/wys5xd2vfg/1. It's published on mendeley, the DOI is DOI10.17632/wys5xd2vfg.1. The data presented in this article are related to the research article entitled "1H-NMR-Based salivary metabolomics from female with temporomandibular disorders - a pilot study" (Lalue Sanches et al. 2020, https//doi.org/10.1016/j.cca.2020.08.006).Significance To expand our understanding of the roles of astrocytes in neural circuits, there is a need to develop optical tools tailored specifically to capture their complex spatiotemporal Ca 2 + dynamics. This interest is not limited to 2D, but to multiple depths. link3 Aim The focus of our work was to design and evaluate the optical performance of an enhanced version of a two-photon (2P) microscope with the addition of a deformable mirror (DM)-based axial scanning system for live mammalian brain imaging. Approach We used a DM to manipulate the beam wavefront by applying different defocus terms to cause a controlled axial shift of the image plane. The optical design and performance were evaluated by an analysis of the optical model, followed by an experimental characterization of the implemented instrument. Results Key questions related to this instrument were addressed, including impact of the DM curvature change on vignetting, field of view size, image plane flatness, wavefront error, and point spread function. The instrument was used for imaging several neurobiological samples at different depths, including fixed brain slices and in vivo mouse cerebral cortex. Conclusions Our implemented instrument was capable of recording z -stacks of 53    μ m in depth with a fine step size, parameters that make it useful for astrocyte biology research. Future work includes adaptive optics and intensity normalization.Significance Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) are both commonly used methodologies for neuronal source reconstruction. While EEG has high temporal resolution (millisecond-scale), its spatial resolution is on the order of centimeters. On the other hand, in comparison to EEG, fNIRS, or diffuse optical tomography (DOT), when used for source reconstruction, can achieve relatively high spatial resolution (millimeter-scale), but its temporal resolution is poor because the hemodynamics that it measures evolve on the order of several seconds. This has important neuroscientific implications e.g., if two spatially close neuronal sources are activated sequentially with only a small temporal separation, single-modal measurements using either EEG or DOT alone would fail to resolve them correctly. Aim We attempt to address this issue by performing joint EEG and DOT neuronal source reconstruction. Approach We propose an algorithm that utilizes DOT reconstruction as the spatial prior of EEG reconstruction, and demonstrate the improvements using simulations based on the ICBM152 brain atlas. Results We show that neuronal sources can be reconstructed with higher spatiotemporal resolution using our algorithm than using either modality individually. Further, we study how the performance of the proposed algorithm can be affected by the locations of the neuronal sources, and how the performance can be enhanced by improving the placement of EEG electrodes and DOT optodes. Conclusions We demonstrate using simulations that two sources separated by 2.3-3.3 cm and 50 ms can be recovered accurately using the proposed algorithm by suitably combining EEG and DOT, but not by either in isolation. We also show that the performance can be enhanced by optimizing the electrode and optode placement according to the locations of the neuronal sources.Significance Contamination of diffuse correlation spectroscopy (DCS) measurements of cerebral blood flow (CBF) due to systemic physiology remains a significant challenge in the clinical translation of DCS for neuromonitoring. Tunable, multi-layer Monte Carlo-based (MC) light transport models have the potential to remove extracerebral flow cross-talk in cerebral blood flow index ( CBF i ) estimates. Aim We explore the effectiveness of MC DCS models in recovering accurate CBF i changes in the presence of strong systemic physiology variations during a hypercapnia maneuver. Approach Multi-layer slab and head-like realistic (curved) geometries were used to run MC simulations of photon propagation through the head. The simulation data were post-processed into models with variable extracerebral thicknesses and used to fit DCS multi-distance intensity autocorrelation measurements to estimate CBF i timecourses. The results of the MC CBF i values from a set of human subject hypercapnia sessions were compared with CBF i values estimated using a semi-infinite analytical model, as commonly used in the field. Results Group averages indicate a gradual systemic increase in blood flow following a different temporal profile versus the expected rapid CBF response. Optimized MC models, guided by several intrinsic criteria and a pressure modulation maneuver, were able to more effectively separate CBF i changes from scalp blood flow influence than the analytical fitting, which assumed a homogeneous medium. Three-layer models performed better than two-layer ones; slab and curved models achieved largely similar results, though curved geometries were closer to physiological layer thicknesses. Conclusion Three-layer, adjustable MC models can be useful in separating distinct changes in scalp and brain blood flow. Pressure modulation, along with reasonable estimates of physiological parameters, can help direct the choice of appropriate layer thicknesses in MC models.Multistability is a key property of dynamical systems modeling cellular regulatory networks implicated in cell fate decisions, where, different stable steady states usually represent distinct cell phenotypes. Monotone network motifs are highly represented in these regulatory networks. In this paper, we leverage the properties of monotone dynamical systems to provide theoretical results that guide the selection of inputs that trigger a transition, i.e., reprogram the network, to a desired stable steady state. We first show that monotone dynamical systems with bounded trajectories admit a minimum and a maximum stable steady state. Then, we provide input choices that are guaranteed to reprogram the system to these extreme steady states. For intermediate states, we provide an input space that is guaranteed to contain an input that reprograms the system to the desired state. We then provide implementation guidelines for finite-time procedures that search this space for such an input, along with rules to prune parts of the space during search. We demonstrate these results on simulations of two recurrent regulatory network motifs self-activation within mutual antagonism and self-activation within mutual cooperation. Our results depend uniquely on the structure of the network and are independent of specific parameter values.This is the first report of a complete remission in aggressive T-cell large granular lymphocytic (T-LGL) leukemia after treatment with pentostatin. The aggressive variant of the disease is rare, and traditional therapies include immunosuppressive agents, however, there is no standard consensus for treatment. Cytotoxic chemotherapy has led to remission in a few reported cases. We present this unique case as an alternative treatment for individuals refractory to chemotherapy. A 55-year-old African American male with hypertension, type II diabetes mellitus, hyperlipidemia, and gout presented with symptoms of multiple ecchymosis, fatigue, and weight loss. He was found to have splenomegaly (SM) and significant leukocytosis to 101 k/µL with 30% blasts on peripheral smear. Following bone marrow aspiration and biopsy with flow cytometry, he was diagnosed with aggressive T-LGL leukemia. The chemotherapy regimen hyper-CVAD (cyclophosphamide, vincristine, doxorubicin, and dexamethasone) was initially chosen based on his clinical presentation but was refractory to treatment. His therapy was changed to alemtuzumab; however, patient tolerated poorly and did not respond. Pentostatin was added to alemtuzumab with improvement in clinical symptoms and laboratory parameters. The patient was transitioned to pentostatin monotherapy and achieved complete remission after 1 month. This report provides support for pentostatin as an effective treatment for patients with aggressive T-cell malignancies refractory to cytotoxic chemotherapy. Pentostatin has previously been studied to treat T-cell prolymphocytic leukemia (T-PLL), hairy cell leukemia, and marginal zone lymphoma. This case suggests an alternative, well-tolerated option that could be considered for initial therapy of aggressive T-LGL leukemia.
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