Miracle-dz/UniFAR-FTUs huggingface dataset:
Hyponatremia at discharge is associated with adverse prognosis in acute heart failure syndromes with preserved ejection fraction: a report from the JASPER registry

Introduction: Hyponatremia predicts adverse prognosis in patients with heart failure in particular with reduced ejection fraction. In contrast, it has recently been reported that hyponatremia on admission is not a predictor of post-discharge mortality in patients with heart failure with preserved ejection fraction. We investigated the prognostic impact of hyponatremia at discharge in patients with heart failure with preserved ejection fraction and its clinical characteristics. Methods and results: The Japanese Heart Failure Syndrome with Preserved Ejection Fraction (JASPER) registry is a nationwide, observational, prospective registration of consecutive Japanese patients hospitalised with heart failure with preserved ejection fraction and left ventricular ejection fraction of 50% or greater. Five hundred consecutive patients were enrolled in this analysis. We divided the patients into two groups based on their sodium serum levels at discharge: hyponatremia group (sodium <135 mEq/L, n=50, 10.0%) and control group (sodium ⩾135 mEq/L, n=450, 90.0%). This present analysis had two primary endpoints: all-cause death and all-cause death or rehospitalisation for heart failure. At discharge, the hyponatremia group had lower systolic blood pressure (110.0 mmHg vs. 114.5 mmHg, P=0.014) and higher levels of urea nitrogen (31.9 mg/dL vs. 24.2 mg/dL, P=0.032). In the Kaplan–Meier analysis, more patients in the hyponatremia group reached the primary endpoints than those in the control group (log rank <0.01, respectively). In the Cox proportional hazard analysis, hyponatremia at discharge was a predictor of the two endpoints (all-cause death, hazard ratio 2.708, 95% confidence interval 1.557–4.708, P<0.001; all-cause death or rehospitalisation for heart failure, hazard ratio 1.829, 95% confidence interval 1.203–2.780, P=0.005). Conclusions: Hyponatremia at discharge is associated with adverse prognosis in hospitalised patients with heart failure with preserved ejection fraction.
Rising Cancer Incidence and Role of the Evolving Diet in Kenya

Abstract Kenya has experienced an increase in the incidence of various types of cancers in the last few decades. This article highlights dietary factors as major contributors to this rising trend of cancer incidence in Kenya at the backdrop of an evolving diet. Literature search revealed that diet plays a major role in the etiology of various cancers with highest incidence rates in various categories of people in Kenya. Other than among children (≤15 years) and HIV/AIDs patients, diet-related cancers such as esophageal, colorectal, stomach, prostate and breast appear to predominate among Kenyans in various categories, i.e., young people (15 ≤ 30 years), adults (31 ≤ 65 years), and older people (>65 years). In the past few decades, Kenya has been undergoing nutritional transition characterized by departure from potentially cancer-protective traditional diets (mostly rich in dietary fiber, fruits, and vegetables) to “western diet” (rich in charred red/organ meats, fat, cholesterol, sugar, and salt) that poses elevated cancer risks. Other potentially carcinogenic factors that characterize the evolving Kenyan diet include; drinking of illicit and/or excess alcohol, traditional soot-laced sour milk, reuse of frying fats/oils, kerosene-laced meals, aflatoxin and agrochemical contaminated foods. The various plausible mechanisms of carcinogenesis of these dietary factors are discussed.
Smart platform for the analysis of cupula deformation caused by otoconia presence within SCCs

Abstract In this paper, we first briefly describe the mechanical model of cupula deformation with the appropriate analytical solution. Then, we present the numerical solution of the same problem and compare it with the analytical one. Besides, we provide another numerical solution based on the Finite Element Method procedure, in an effort to encompass a more realistic approach to the problem such as considering the real geometry of the SCCs and the obstruction of the fluid flow during head movement due to the presence of otoconia. As a result, we obtain fifty solutions for a head rotation angle in a range from 0° to 120°, taking into account that such a manoeuvre lasts exactly 3 seconds. In the end, we present a mobile client–server application for visualising the finite element solutions in a way that is convenient for the clinical practice.
Dual RXR motifs regulate nerve growth factor–mediated intracellular retention of the delta opioid receptor

The delta opioid receptor (DOR), a physiologically relevant prototype for G protein–coupled receptors, is retained in intracellular compartments in neuronal cells. This retention is mediated by a nerve growth factor (NGF)-regulated checkpoint that delays the export of DOR from the trans-Golgi network. How DOR is selectively retained in the Golgi, in the midst of dynamic membrane transport and cargo export, is a fundamental unanswered question. Here we address this by investigating sequence elements on DOR that regulate DOR surface delivery, focusing on the C-terminal tail of DOR that is sufficient for NGF-mediated regulation. By systematic mutational analysis, we define conserved dual bi-arginine (RXR) motifs that are required for NGF- and phosphoinositide-regulated DOR export from intracellular compartments in neuroendocrine cells. These motifs were required to bind the coatomer protein I (COPI) complex, a vesicle coat complex that mediates primarily retrograde cargo traffic in the Golgi. Our results suggest that interactions of DOR with COPI, via atypical COPI motifs on the C-terminal tail, retain DOR in the Golgi. These interactions could provide a point of regulation of DOR export and delivery by extracellular signaling pathways.
Patient perspectives in gout: a review

Purpose of review Recent studies have produced evidence regarding the patient perspectives in gout including from disease experience to disease outcomes. Therefore, an overview on the topic can help improve our understanding of the patient experience. Recent findings This article explores several aspects of the patient perspective including the impact of gout on a patient's life, patient knowledge and beliefs regarding gout and its treatments, patient-perceived barriers to optimal medication adherence in gout and patient's perception of their gout. This article also summarizes any evidence of the association of patient perceptions to patient outcomes in gout. Summary A recognition of patient perspectives in gout has the potential to positively impact clinical care for gout. Discussion of disease impact, misperceptions about benefits/harms of urate-lowering therapy (ULT), and patient values/preferences regarding pharmacological and nonpharmacological treatments can lead to a better shared decision-making and improved outcomes in gout. These findings emphasize the importance of inclusion of patient perspective not only in clinical care and quality improvement and research initiatives but also in the design and implementation of the research agenda in gout. Inclusion of patient-reported outcomes in clinical research is likely to improve its relevance to patients with gout.
The cell biology of quiescent yeast – a diversity of individual scenarios

ABSTRACT Most cells, from unicellular to complex organisms, spend part of their life in quiescence, a temporary non-proliferating state. Although central for a variety of essential processes including tissue homeostasis, development and aging, quiescence is poorly understood. In fact, quiescence encompasses various cellular situations depending on the cell type and the environmental niche. Quiescent cell properties also evolve with time, adding another layer of complexity. Studying quiescence is, above all, limited by the fact that a quiescent cell can be recognized as such only after having proved that it is capable of re-proliferating. Recent cellular biology studies in yeast have reported the relocalization of hundreds of proteins and the reorganization of several cellular machineries upon proliferation cessation. These works have revealed that quiescent cells can display various properties, shedding light on a plethora of individual behaviors. The deciphering of the molecular mechanisms beyond these reorganizations, together with the understanding of their cellular functions, have begun to provide insights into the physiology of quiescent cells. In this Review, we discuss recent findings and emerging concepts in Saccharomyces cerevisiae quiescent cell biology. Summary: Quiescent yeast cells display a plethora of individual properties that evolve with time. Here, we discuss recent findings and emerging concepts in Saccharomyces cerevisiae quiescent cell biology.
Volumetric Medical Images Visualization on Mobile Devices

Volumetric medical images visualization is an important tool in the diagnosis and treatment of diseases. Through history, one of the most dificult tasks for Medicine Specialists has been the accurate location of broken bones and of the damaged tissues during Chemotherapy treatment, among other applications; like techniques used in Neurological Studies. Thus these situations enhance the need of visualization in Medicine. New technologies, the improvement and development of new hardware as well as software and the updating of old ones for graphic applications have resulted in specialized systems for medical visualization. However the use of these techniques in mobile devices has been poor due to its low performance. In our work, we propose a client-server scheme, where the model is compressed in the server side and is reconstructed in a nal thin-client device. The technique restricts the natural density values to achieve good bone visualization in medical models, transforming the rest of the data to zero. Our proposal uses a tridimensional Haar Wavelet Function locally applied inside units blocks of 16x16x16, similar to the Wavelet Based 3D Compression Scheme for Interactive Visualization of Very Large Volume Data approach. We also implement a quantization algorithm which handles error coeficients according to the frequency distributions of these coe cients. Finally, we made an evaluation of the volume visualization; on current mobile devices . We present the speci cations for the implementation of our technique in the Nokia n900 Mobile Phone.
Noninvasive Assessment of Hepatocellular Carcinoma Tumor Thrombus: Is It All in Vein?

The detection of portal vein tumor thrombus (PVTT) in patients with hepatocellular carcinoma (HCC) has important implications for prognosis and treatment. Liver transplantation (LT) is contraindicated due to high rates of recurrence, and the presence of PVTT also informs choice of locoregional therapy. PVTT and other forms of macrovascular invasion figure into most of the major staging systems for HCC. This article is protected by copyright. All rights reserved.
LONG-TERM OUTCOMES AND PROGNOSTIC FACTORS IN PATIENTS WITH DIFFERENTIATED THYROID CARCINOMA AND BONE METASTASES.

Objective: This institutional study sought to retrospectively evaluate disease progression and survival of patients with differentiated thyroid cancer (DTC) and bone metastases (BM) and to investigate variables predictive of better long-term outcomes. Methods: The Rabin Medical Center Thyroid Cancer Registry was searched for patients with bone-metastatic DTC. Variables including a patient's gender and age, pathology of the thyroid tumor, and characteristics of BM were retrieved and analyzed in association with disease progression and mortality. Results: The cohort included 64 patients (48.4% female). Mean age at diagnosis was 62.1 ± 14.3 years; mean primary tumor size was 41 ± 30 mm. Overall, 60.4% had stage T3/T4 disease; 46.3% had extrathyroidal extension; 40% had lymph-node metastases. Histopathology yielded papillary and follicular DTC in 40.6% and 32.8% of patients, respectively, and poorly/intermediately differentiated carcinoma in 26.6%. BM were synchronous in 50%. Mean follow-up was 11 ± 9.6 years from DTC detection. The common first sites of BM detection were spine (46.9% of patients), pelvis (37.5%) and ribs (21.9%). Nineteen patients (29.7%) presented with multiple-site BM, of whom 15 (78.9%) had spinal metastases. After initial treatment, 62/64 patients had structural persistence, and at last follow-up, 57.8% had progressive disease. Overall, 54.7% of patients died, 71.4% of DTC. Improved long-term outcomes were associated with younger age, lower tumor stage, no extrathyroidal extension, bone-only metastases, and non-spinal BM. Younger age and non-spinal BM were the only independent predictors for improved survival. Conclusions: Selected patients with bone-metastatic DTC may achieve fair long-term outcomes. Spinal metastases are associated with disseminated skeletal spread and increased mortality. Abbreviations: BM = bone metastases; COX = multivariate analyses; DM = distant metastases; DSM = disease-specific mortality; DSS = disease-specific survival; DTC = differentiated thyroid carcinoma; ETE = extrathyroidal extension; LNM = lymph node metastases; OM = overall mortality; OS = overall survival; PTCFV = papillary thyroid carcinoma; RAI = radioactive iodine; SM = spinal metastases; SRE = skeletal-related event; txWBS = whole-body scan after RAI therapy.
Deep image reconstruction from human brain activity

Machine learning-based analysis of human functional magnetic resonance imaging (fMRI) patterns has enabled the visualization of perceptual content. However, it has been limited to the reconstruction with low-level image bases (Miyawaki et al., 2008; Wen et al., 2016) or to the matching to exemplars (Naselaris et al., 2009; Nishimoto et al., 2011). Recent work showed that visual cortical activity can be decoded (translated) into hierarchical features of a deep neural network (DNN) for the same input image, providing a way to make use of the information from hierarchical visual features (Horikawa & Kamitani, 2017). Here, we present a novel image reconstruction method, in which the pixel values of an image are optimized to make its DNN features similar to those decoded from human brain activity at multiple layers. We found that the generated images resembled the stimulus images (both natural images and artificial shapes) and the subjective visual content during imagery. While our model was solely trained with natural images, our method successfully generalized the reconstruction to artificial shapes, indicating that our model indeed ‘reconstructs’ or ‘generates’ images from brain activity, not simply matches to exemplars. A natural image prior introduced by another deep neural network effectively rendered semantically meaningful details to reconstructions by constraining reconstructed images to be similar to natural images. Furthermore, human judgment of reconstructions suggests the effectiveness of combining multiple DNN layers to enhance visual quality of generated images. The results suggest that hierarchical visual information in the brain can be effectively combined to reconstruct perceptual and subjective images.
RUNX1-ETO: Attacking the Epigenome for Genomic Instable Leukemia

Oncogenic fusion protein RUNX1-ETO is the product of the t(8;21) translocation, responsible for the most common cytogenetic subtype of acute myeloid leukemia. RUNX1, a critical transcription factor in hematopoietic development, is fused with almost the entire ETO sequence with the ability to recruit a wide range of repressors. Past efforts in providing a comprehensive picture of the genome-wide localization and the target genes of RUNX1-ETO have been inconclusive in understanding the underlying mechanism by which it deregulates native RUNX1. In this review; we dissect the current data on the epigenetic impact of RUNX1 and RUNX1-ETO. Both share similarities however, in recent years, research focused on epigenetic factors to explain their differences. RUNX1-ETO impairs DNA repair mechanisms which compromises genomic stability and favors a mutator phenotype. Among an increasing pool of mutated factors, regulators of DNA methylation are frequently found in t(8;21) AML. Together with the alteration of both, histone markers and distal enhancer regulation, RUNX1-ETO might specifically disrupt normal chromatin structure. Epigenetic studies on the fusion protein uncovered new mechanisms contributing to leukemogenesis and hopefully will translate into clinical applications.
Obesity, depression and hip pain

INTRODUCTION Up to 64% of the general population reports experiencing chronic pain, with the hip being one of the most frequent sites. An association has been shown between chronic back pain, obesity and depression. To date, a similar association has not been investigated with chronic hip pain. METHODS A total of 2,515 subjects were chosen as a representative cross-section of the German population. Each was provided with a questionnaire that included the Regional Pain Scale, European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30), Beck Depression Inventory-Primary Care and Winkler social class index. Participant height and weight values were obtained from self-reports. Using logistic regression methodology, we analysed the association between hip pain, obesity and increased depression scores. RESULTS A total of 124 (4.9%) subjects reported chronic hip pain and an additional 39 (1.5%) reported chronic hip pain that was disabling. Hip pain affected 1-5 sites (oligolocular) in 47% of cases, and was widespread (6-19 sites) in 50%. Obesity and increased values on the depression scale were associated with an increased likelihood of chronic hip pain (odds ratio [OR] 2.55 and 8.53, respectively) compared with subjects without pain. Increased values on the depression scale (OR 28.22) increased the likelihood of experiencing disabling chronic hip pain in comparison with pain free individuals. CONCLUSIONS Hip pain is rarely the sole site of pain. Obesity and increased values on the depression scale are associated with chronic hip pain. Increased values on the depression scale are associated with disabling chronic hip pain.
The “Quantifying Construct Validity” Procedure: Its Role, Value, Interpretations, and Computation

The current article enhances the test validation process by addressing important issues with the quantifying construct validity (QCV) procedure. The QCV procedure is intended to help researchers systematically and objectively evaluate the degree to which a pattern of convergent and discriminant validity correlations correspond to a priori hypotheses. Although the QCV procedure holds promise as a psychometric tool and has enjoyed some use, at least three factors have likely limited the frequency and accuracy of its use—questions regarding its role and utility in test validation, a lack of clarity about its key concepts, and a lack of integration with widely available statistical software. We address these important issues and provide psychometrically grounded recommendations for applying the QCV procedure. This work facilitates the understanding, computation, and useful application of the QCV procedure, and ultimately it is intended to enhance work in test validation.
Focal Boundary Guided Salient Object Detection

The performance of salient object segmentation has been significantly advanced by using the deep convolutional networks. However, these networks often produce blob-like saliency maps without accurate object boundaries. This is caused by the limited spatial resolution of their feature maps after multiple pooling operations and might hinder downstream applications that require precise object shapes. To address this issue, we propose a novel deep model—Focal Boundary Guided (Focal-BG) network. Our model is designed to jointly learn to segment salient object masks and detect salient object boundaries. Our key idea is that additional knowledge about object boundaries can help to precisely identify the shape of the object. Moreover, our model incorporates a refinement pathway to refine the mask prediction and makes use of the focal loss to facilitate the learning of the hard boundary pixels. To evaluate our model, we conduct extensive experiments. Our Focal-BG network consistently outperforms the state-of-the-art methods on five major benchmarks. We provide a detailed analysis of these results and demonstrate that our joint modeling of salient object boundary and mask helps to better capture the shape details, especially in the vicinity of object boundaries.
Development of novel real-time RT-qPCR methodologies for quantification of the COL11A1 mRNA general and C transcripts and evaluation in non-small cell lung cancer specimens.

PURPOSE The purpose of this study was the development of new quantitative methodologies for the general (total) COL11A1 gene and the C transcript (RT-qPCR methods for A and E transcripts have already been developed by our group previously), the quantification of all COL11A1 transcripts and the investigation for the first time of their potential association with histopathological prognostic factors in lung cancer. METHODS Real-time RT-qPCR methodologies with dual hybridization probes were developed on the Light Cycler 1.5 platform (Roche,Germany). All COL11A1 transcripts were measured in 27 cDNA lung tissue specimens in a blinded fashion (8 control and 19 non-small cell lung cancer (NSCLC) tissues with known histopathological data). Statistical analysis was performed with the IBM SPSS program. RESULTS The novel real-time RT-qPCR methodologies were appropriately validated. All 19 NSCLC samples were positive for the general COL11A1 transcript (range 11.2-1198.0 copies/μg total RNA, while 5 out of 8 control samples were negative: mean values were also statistically significantly different (p<0.001). In 4 tumor samples (21%), no specific COL11A1 transcript was detected. Transcript C was detected in only 3 tumor samples. Regarding transcripts A and E, 13 out of 19 tumor samples were positive for either one (68%) and 11 for both (58%). CONCLUSIONS No other statistically significant association of the specific transcripts with histopathological data was observed, most probably due to the limited number of samples. As the number of general COL11A1 transcripts/µg exceeds the sum of A+E+C transcripts in all samples, there is opportunity for discovery and identification of other transcripts as well.