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15,733 results for “article”
Daset related to article:"Trends in survival of ALS from a population-based registry"
<p>Database including all raw data related to the publication entitled "Trends in survival of ALS from a population-based registry"</p>
Dataset related to article "A 'Multiomic' Approach of Saliva Metabolomics, Microbiota, and Serum Biomarkers to Assess the Need of Hospitalization in COVID-19"
<p>*These authors contributed equally to the work<sup> #</sup>Corresponding author</p> <p>This record contains raw data related to article “A ‘Multiomic’ Approach of Saliva Metabolomics, Microbiota, and Serum Biomarkers to Assess the Need of Hospitalization in COVID-19"</p> <p>Abstract:</p> <p>The SARS-CoV-2 pandemic has overwhelmed the treatment capacity of the healthcare systems during the highest viral diffusion rate. Patients reaching the emergency department had to be either hospitalized or discharged. Still, the decision was taken based on the individual assessment of the actual clinical condition, without specific biomarkers to predict future improvement or deterioration. Often discharged patients returned to the hospital for aggravation of their condition. Here we have developed a new combined approach of omics to identify factors that could distinguish COVID-19 inpatients from outpatients. We tested the metabolome in the saliva and identified nine metabolites that separated the inpatient from the outpatient population, but not completely. When combined with serum biomarkers, just two salivary metabolites (myo-inositol and 2-pyrollidine acetic acid) and one serum protein, Chitinase 3-like-1(CHI3L1) were sufficient to separate the two groups completely. These metabolites positively or negatively correlated with four modulated microbiota taxa. This is a proof-of-concept that a combined omic analysis can be used to stratify patients.</p>
Dataset related to the article " Automated Left and Right Ventricular Chamber Segmentation in Cardiac Magnetic Resonance Images Using Dense Fully Convolutional Neural Network"
<p>This record contains raw data related to the article " Automated left and right ventricular chamber segmentation in cardiac magnetic resonance images using dense fully convolutional neural network"</p> <p><br> Background and objective: Segmentation of the left ventricular (LV) myocardium (Myo) and RV endocardium on cine cardiac magnetic resonance (CMR) images represents an essential step for cardiacfunction evaluation and diagnosis. In order to have a common reference for comparing segmentation algorithms, several CMR image datasets were made available, but in general they do not include the most apical and basal slices, and/or gold standard tracing is limited to only one of the two ventricles, thus not fully corresponding to real clinical practice. Our aim was to develop a deep learning (DL) approach for automated segmentation of both RV and LV chambers from short-axis (SAX) CMR images, reporting separately the performance for basal slices, together with the applied criterion of choice.<br> Method: A retrospectively selected database (DB1) of 210 cine sequences (3 pathology groups) was considered: images (GE, 1.5 T) were acquired at Centro Cardiologico Monzino (Milan, Italy), and end-diastolic (ED) and end-systolic frames (ES) were manually segmented (gold standard, GS). Automatic ED and ES RV and LV segmentation were performed with a U-Net inspired architecture, where skip connections were redesigned introducing dense blocks to alleviate the semantic gap between the U-Net encoder and decoder. The proposed architecture was trained including: A) the basal slices where the Myo surrounded<br> the LV for at least the 50% and all the other slice; B) all the slices where the Myo completely surrounded the LV. To evaluate the clinical relevance of the proposed architecture in a practical use case scenario, a graphical user interface was developed to allow clinicians to revise, and correct when needed, the automatic segmentation. Additionally, to assess generalizability, analysis of CMR images obtained in 12 healthy volunteers (DB2) with different equipment (Siemens, 3T) and settings was performed.<br> Results: The proposed architecture outperformed the original U-Net. Comparing the performance on DB1 between the two criteria, no significant differences were measured when considering all slices together, but were present when only basal slices were examined. Automatic and manually-adjusted segmentation<br> performed similarly compared to the GS (bias±95%LoA): LVEDV -1±12 ml, LVESV -1±14 ml, RVEDV 6±12 ml, RVESV 6±14 ml, ED LV mass 6±26 g, ES LV mass 5±26 g). Also, generalizability showed very similar performance, with Dice scores of 0.944 (LV), 0.908 (RV) and 0.852 (Myo) on DB1, and 0.940 (LV), 0.880 (RV), and 0.856 (Myo) on DB2.<br> Conclusions: Our results support the potential of DL methods for accurate LV and RV contours segmentation and the advantages of dense skip connections in alleviating the semantic gap generated when high level features are concatenated with lower level feature. The evaluation on our dataset, considering separately the performance on basal and apical slices, reveals the potential of DL approaches for fast, accurate and reliable automated cardiac segmentation in a real clinical setting.<br> </p>
Dataset related to the article "Rest and exercise oxygen uptake and cardiac output changes 6 months after successful transcatheter mitral valve repair"
<p><strong>Aims: </strong>Changes in peak exercise oxygen uptake (VO<sub>2</sub> ) and cardiac output (CO) 6 months after successful percutaneous edge-to-edge mitral valve repair (pMVR) in severe primary (PMR) and functional mitral regurgitation (FMR) patients are unknown. The aim of the study was to assess the efficacy of pMVR at rest by echocardiography, VO<sub>2</sub> and CO (inert gas rebreathing) measurement and during cardiopulmonary exercise test with CO measurement.</p> <p><strong>Methods and results: </strong>We evaluated 145 and 115 patients at rest and 98 and 66 during exercise before and after pMVR, respectively. After successful pMVR, significant reductions in MR and NYHA class were observed in FMR and PMR patients. Cardiac ultrasound showed reverse remodelling (left ventricular end-diastolic volume from 158 ± 63 mL to 147 ± 64, P < 0.001; ejection fraction from 51 ± 15 to 48 ± 14, P < 0.001; pulmonary artery systolic pressure (PASP) from 43 ± 13 to 38 ± 8 mmHg, P < 0.001) in the entire population. These changes were significant in PMR (n = 62) and a trend in FMR (n = 53), except for PASP, which decreased in both groups. At rest, CO and stroke volume (SV) increased in FMR with a concomitant reduction in arteriovenous O<sub>2</sub> content difference [ΔC(a-v)O<sub>2</sub> ]. Peak exercise, CO and SV increased significantly in both groups (CO from 5.5 ± 1.4 L/min to 6.3 ± 1.5 and from 6.2 ± 2.4 to 6.7 ± 2.0, SV from 57 ± 19 mL to 66 ± 20 and from 62 ± 20 to 69 ± 20, in FMR and PMR, respectively), whereas peak VO<sub>2</sub> was unchanged and ΔC(a-v)O<sub>2</sub> decreased.</p> <p><strong>Conclusions: </strong>These data confirm pMVR-induced clinical improvement and reverse ventricular remodelling at a 6-month analysis and show, in spite of an increase in CO, an unchanged exercise performance, which is achieved through a 'more physiological' blood flow distribution and O<sub>2</sub> extraction behaviour. Direct rest and exercise CO should be measured to assess pMVR efficacy.</p> <p><strong>Keywords: </strong>Cardiac output; Exercise; Oxygen uptake; Percutaneous edge-to-edge mitral valve repair; Transcatheter mitral valve repair.</p>
Dataset related to article " Quantitative analysis of in-vivo microbubble distribution in the human brain"
<p>File video e immagini acquisizioni ecografiche</p>
Sonication data related to article " preclinical study of diffusion-weighted MRI contrast as an early indicator of thermal ablation"
<p>data analysis table and workflow</p> <p> </p>
dataset related to article "Comorbidities of primary headache disorders: a literature review with meta-analysis"
<p><strong>Raw data extracted from the different manuscripts included in the review with meta-analysis</strong></p> <p> </p>
datet related to article "The Pre-Lumbar puncture Intracranial Hypertension Scale (PLIHS): A practical scale to identify subjects with normal cerebrospinal fluid pressure in the management of idiopathic intracranial hypertension"
<p>The dataset contains the variables used to validata the PLIHS scale described in the manuscript.</p>
dataset related to article "The Lipid Asset Is Unbalanced in Peripheral Nerve Sheath Tumors"
<p><strong>Lipid species derived from analyses, anonymized sample series</strong></p>
Dataset related to article "The Role of Pathological Method and Clearance Definition for the Evaluation of Margin Status after Pancreatoduodenectomy for Periampullary Cancer. Results of a Multicenter Prospective Randomized Trial."
<p>This record contains data related to article "The Role of Pathological Method and Clearance Definition for the Evaluation of Margin Status after Pancreatoduodenectomy for Periampullary Cancer. Results of a Multicenter Prospective Randomized Trial."</p> <p>Background: There is extreme heterogeneity in the available literature on the determination of R1 resection rate after pancreatoduodenectomy (PD); consequently, its prognostic role is still debated. The aims of this multicenter randomized study were: to evaluate the effect of sampling and clearance definition in determining R1 rate after PD for periampullary cancer; to assess the prognostic role of R1 resection.</p> <p>Methods: PD specimens were randomized to Leeds Pathology Protocol (LEEPP) (group A) or conventional method adopted before the study (group B). R1 rate was determined adopting 0 and 1 mm clearance; the association between R1, local recurrence (LR) and overall survival (OS) was also evaluated.</p> <p>Results. One-hundred-sixty-eight PD specimens were included. With 0 mm clearance, R1 rate was 26.2% and 20.2% for groups A and B, respectively; with 1 mm, R1 rate was 60.7% and 57.1%, respectively (p > 0.05). Only in group A, R1 was found to be a significant prognostic factor: at 0 mm, median OS was 36 and 20 months for R0 and R1, respectively, while at 1 mm. median OS was not reached and 30 months. At multivariate analysis, R1 resection was found as a significant prognostic factor independent of clearance definition only in case of adoption of LEEPP.</p> <p>Conclusions. The 1 mm clearance is the most effective factor in determining R1 rate after PD. However, the pathological method is crucial to accurately evaluate its prognostic role: only R1 resections obtained with the adoption of LEEPP seem to significantly affect prognosis.</p>
Dataset related to article "Mitochondrial metabolic reprogramming controls the induction of immunogenic cell death and efficacy of chemotherapy in bladder cancer "
<p>This record contains raw data related to article “Mitochondrial metabolic reprogramming controls the induction of immunogenic cell death and efficacy of chemotherapy in bladder cancer"</p> <p>Although chemotherapeutic agents have been used for decades, the mechanisms of action, mechanisms of resistance, and the best treatment schedule remain elusive. Mitomycin C (MMC) is the gold standard treatment for non-muscle-invasive bladder cancer (NMIBC). However, it is effective only in a subset of patients, suggesting that, aside from cytotoxicity, other mechanisms could be involved in mediating the success of the treatment. Here, we showed that MMC promotes immunogenic cell death (ICD) and in vivo tumor protection. MMC-induced ICD relied on metabolic reprogramming of tumor cells toward increased oxidative phosphorylation. This favored increased mitochondrial permeability leading to the cytoplasmic release of mitochondrial DNA, which activated the inflammasome for efficient IL-1β (interleukin-1β) secretion that promoted dendritic cell maturation. Resistance to ICD was associated with mitochondrial dysfunction related to low abundance of complex I of the respiratory chain. Analysis of complex I in patient tumors indicated that low abundance of this mitochondrial complex was associated with recurrence incidence after chemotherapy in patients with NMIBC. The identification of mitochondria-mediated ICD as a mechanism of action of MMC offers opportunities to optimize bladder cancer management and provides potential markers of treatment efficacy that could be used for patient stratification.</p>
Dataset related to the article "Immature Circulating SP-B, Bound to HDL, Represents an early sign of Smoke-Induced Pathophysiological alterations"
<p>This record contains raw data related to the article "Immature Circulating SP-B, Bound to HDL, Represents an early sign of Smoke-Induced Pathophysiological alterations"</p> <p>Abstract</p> <p>Cigarette smoking is a major independent <em>risk factor</em> for cardiovascular diseases (CVD). The underlying mechanisms, however, are not clearly understood. Lungs are the primary route of exposure to smoke, with pulmonary cells and surfactant being the first structures directly exposed, resulting in the leakage of the immature proteoform of surfactant protein B (proSP-B). Herein, we evaluated whether proSP-B joins the cargo of HDL proteins in healthy young subjects (n=106) without any CVD risk factor other than smoking, and if HDL-associated proSP-B (HDL-SPB) correlated with pulmonary function parameters, systemic inflammation, and oxidative stress. At univariable analysis, HDL-SPB resulted significantly higher in smokers (2.2-fold, p<0.001) than in non-smokers. No significant differences have been detected between smokers and non-smokers for inflammation, oxidation variables, and alveolar-capillary diffusion markers. In a multivariable model, HDL-SPB was independently associated to smoking. In conclusion, HDL-SPB is not only a precocious and sensitive index of the acute effects of smoke but it might be also a potential causal factor in the onset of the vascular damage induced by modified HDL. These findings contribute to the emerging concept that the quality of the HDL proteome, rather than the quantity of particles, plays a central role in CVD risk protection.</p>
Dataset related to the article "Neuropeptide Y promotes adipogenesis of human cardiac mesenchymal stromal cells in arrhythmogenic cardiomyopathy"
<p>This record contains raw data related to the article “Neuropeptide Y promotes adipogenesis of human cardiac mesenchymal stromal cells in arrhythmogenic cardiomyopathy"</p> <p><strong>Background: </strong>Arrhythmogenic Cardiomyopathy (AC) is a familial cardiac disease, mainly caused by mutations in desmosomal genes. AC hearts show fibro-fatty myocardial replacement, which favors stress-related life-threatening arrhythmias, predominantly in the young and athletes. AC lacks effective therapies, as its pathogenesis is poorly understood. Recently, we showed that cardiac Mesenchymal Stromal Cells (cMSCs) contribute to adipose tissue in human AC hearts, although the underlying mechanisms are still unclear.</p> <p><strong>Purpose: </strong>We hypothesize that the sympathetic neurotransmitter, Neuropeptide Y (NPY), participates to cMSC adipogenesis in human AC.</p> <p><strong>Methods: </strong>For translation of our findings, we combined in vitro cytochemical, molecular and pharmacologic assays on human cMSCs, from myocardial biopsies of healthy controls and AC patients, with the use of existing drugs to interfere with the predicted AC mechanisms. Sympathetic innervation was inspected in human autoptic heart samples, and NPY plasma levels measured in healthy and AC subjects.</p> <p><strong>Results: </strong>AC cMSCs expressed higher levels of pro-adipogenic isotypes of NPY-receptors (i.e. Y1-R, Y5-R). Consistently, NPY enhanced adipogenesis in AC cMSCs, which was blocked by FDA-approved Y1-R and Y5-R antagonists. AC-associated PKP2 reduction directly caused NPY-dependent adipogenesis in cMSCs. In support of the involvement of sympathetic neurons (SNs) and NPY in AC myocardial remodeling, patients had elevated NPY plasma levels and, in human AC hearts, SNs accumulated in fatty areas and were close to cMSCs.</p> <p><strong>Conclusions: </strong>Independently from the disease origin, AC causes in cMSCs a targetable gain of responsiveness to NPY, which leads to increased adipogenesis, thus playing a role in AC myocardial remodeling.</p>
Dataset related to the article "CarDiac magnEtic Resonance for prophylactic Implantable-cardioVerter defibrillAtor ThErapy in Non-Ischaemic dilated CardioMyopathy: an international Registry"
<p>This record contains raw data related to the article “CarDiac magnEtic Resonance for prophylactic Implantable-cardioVerter defibrillAtor ThErapy in Non-Ischaemic dilated CardioMyopathy: an international Registry” <br> </p> <p>Abstract</p> <p><strong>Aims: </strong>The aim of this registry was to evaluate the additional prognostic value of a composite cardiac magnetic resonance (CMR)-based risk score over standard-of-care (SOC) evaluation in a large cohort of consecutive unselected non-ischaemic cardiomyopathy (NICM) patients.</p> <p><strong>Methods and results: </strong>In the DERIVATE registry (www.clinicaltrials.gov/registration: RCT<a href="http://clinicaltrials.gov/show/NCT03352648">#NCT03352648</a>), 1000 (derivation cohort) and 508 (validation cohort) NICM patients with chronic heart failure (HF) and left ventricular ejection fraction <50% were included. All-cause mortality and major adverse arrhythmic cardiac events (MAACE) were the primary and secondary endpoints, respectively. During a median follow-up of 959 days, all-cause mortality and MAACE occurred in 72 (7%) and 93 (9%) patients, respectively. Age and >3 segments with midwall fibrosis on late gadolinium enhancement (LGE) were the only independent predictors of all-cause mortality (HR: 1.036, 95% CI: 1.0117-1.056, P < 0.001 and HR: 2.077, 95% CI: 1.211-3.562, P = 0.008, respectively). For MAACE, the independent predictors were male gender, left ventricular end-diastolic volume index by CMR (CMR-LVEDVi), and >3 segments with midwall fibrosis on LGE (HR: 2.131, 95% CI: 1.231-3.690, P = 0.007; HR: 3.161, 95% CI: 1.750-5.709, P < 0.001; and HR: 1.693, 95% CI: 1.084-2.644, P = 0.021, respectively). A composite clinical and CMR-based risk score provided a net reclassification improvement of 63.7% (P < 0.001) for MAACE occurrence when added to the model based on SOC evaluation. These findings were confirmed in the validation cohort.</p> <p><strong>Conclusion: </strong>In a large multicentre, multivendor cohort registry reflecting daily clinical practice in NICM work-up, a composite clinical and CMR-based risk score provides incremental prognostic value beyond SOC evaluation, which may have impact on the indication of implantable cardioverter-defibrillator implantation.</p>
Dataset related to the article "Feasibility of late gadolinium enhancement (LGE) in ischemic cardiomyopathy using 2D-multisegment LGE combined with artificial intelligence reconstruction deep learning noise reduction algorithm"
<p>This record contains raw data related to the article “Feasibility of late gadolinium enhancement (LGE) in ischemic cardiomyopathy using 2D-multisegment LGE combined with artificial intelligence reconstruction deep learning noise reduction algorithm”</p> <p>Abstract</p> <p><strong>Background: </strong>Despite the low spatial resolution of 2D-multisegment late gadolinium enhancement (2D-MSLGE) sequences, it may be useful in uncooperative patients instead of standard 2D single segmented inversion recovery gradient echo late gadolinium enhancement sequences (2D-SSLGE). The aim of the study is to assess the feasibility and comparison of 2D-MSLGE reconstructed with artificial intelligence reconstruction deep learning noise reduction (NR) algorithm compared to standard 2D-SSLGE in consecutive patients with ischemic cardiomyopathy (ICM).</p> <p><strong>Methods: </strong>Fifty-seven patients with known ICM referred for a clinically indicated CMR were enrolled in this study. 2D-MSLGE were reconstructed using a growing level of NR (0%,25%,50%,75%and 100%). Subjective image quality, signal to noise ratio (SNR) and contrast to noise ratio (CNR) were evaluated in each dataset and compared to standard 2D-SSLGE. Moreover, diagnostic accuracy, LGE mass and scan time were compared between 2D-MSLGE with NR and 2D-SSLGE.</p> <p><strong>Results: </strong>The application of NR reconstruction ≥50% to 2D-MSLGE provided better subjective image quality, CNR and SNR compared to 2D-SSLGE (p < 0.01). The best compromise in terms of subjective and objective image quality was observed for values of 2D-MSLGE 75%, while no differences were found in terms of LGE quantification between 2D-MSLGE versus 2D-SSLGE, regardless the NR applied. The sensitivity, specificity, negative predictive value, positive predictive value and accuracy of 2D-MSLGE NR 75% were 87.77%,96.27%,96.13%,88.16% and 94.22%, respectively. Time of acquisition of 2D-MSLGE was significantly shorter compared to 2D-SSLGE (p < 0.01).</p> <p><strong>Conclusion: </strong>When compared to standard 2D-SSLGE, the application of NR reconstruction to 2D-MSLGE provides superior image quality with similar diagnostic accuracy.</p>
Dataset related to the article "Feasibility and Accuracy of the Automated Software for Dynamic Quantification of Left Ventricular and Atrial Volumes and Function in a Large Unselected Population"
<p>This record contains raw data related to the article “Feasibility and Accuracy of the Automated Software for Dynamic Quantification of Left Ventricular and Atrial Volumes and Function in a Large Unselected Population”</p> <p>Abstract</p> <p>We aimed to evaluate the feasibility and accuracy of machine learning-based automated dynamic quantification of left ventricular (LV) and left atrial (LA) volumes in an unselected population. We enrolled 600 unselected patients (12% in atrial fibrillation) clinically referred for transthoracic echocardiography (2DTTE), who also underwent 3D echocardiography (3DE) imaging. LV ejection fraction (EF), LV, and LA volumes were obtained from 2D images; 3D images were analyzed using dynamic heart model (DHM) software (Philips) resulting in LV and LA volume-time curves. A subgroup of 140 patients also underwent cardiac magnetic resonance (CMR) imaging. Average time of analysis, feasibility, and image quality were recorded, and results were compared between 2DTTE, DHM, and CMR. The use of DHM was feasible in 522/600 cases (87%). When feasible, the boundary position was considered accurate in 335/522 patients (64%), while major (n = 38) or minor (n = 149) border corrections were needed. The overall time required for DHM datasets was approximately 40 seconds. As expected, DHM LV volumes were larger than 2D ones (end-diastolic volume: 173 ± 64 vs. 142 ± 58 mL, respectively), while no differences were found for LV EF and LA volumes (EF: 55% ± 12 vs. 56% ± 14; LA volume 89 ± 36 vs. 89 ± 38 mL, respectively). The comparison between DHM and CMR values showed a high correlation for LV volumes (r = 0.70 and r = 0.82, <em>p</em> < 0.001 for end-diastolic and end-systolic volume, respectively) and an excellent correlation for EF (r = 0.82, <em>p</em> < 0.001) and LA volumes. The DHM software is feasible, accurate, and quick in a large series of unselected patients, including those with suboptimal 2D images or in atrial fibrillation.</p>
Dataset related to the article: "Netrin-1 in Atherosclerosis: Relationship between Human Macrophage Intracellular Levels and In Vivo Plaque Morphology"
<p>This record contains raw data related to the article: "Netrin-1 in Atherosclerosis: Relationship between Human Macrophage Intracellular Levels and In Vivo Plaque Morphology"</p> <p>Abstract: Netrin-1 is a laminin-like protein that plays a pivotal role in cell migration and, according to the site of its release, exerts both pro and anti-atherosclerotic functions. Macrophages, key cells in atherosclerosis, are heterogeneous in morphology and function and different subpopulations may support plaque progression, stabilization, and/or regression. Netrin-1 was evaluated in plasma and, together with its receptor UNC5b, in both spindle and round monocyte-derived macrophages (MDMs) morphotypes from coronary artery disease (CAD) patients and control subjects. In CAD patients, plaque features were detected in vivo by optical coherence tomography. CAD patients had lower plasma Netrin-1 levels and a higher MDMs expression of both protein and its receptor compared to controls. Specifically, a progressive increase in Netrin-1 and UNC5b was evidenced going from controls to stable angina (SA) and acute myocardial infarction (AMI) patients. Of note, spindle MDMs of AMI showed a marked increase of both Netrin-1 and its receptor compared to spindle MDMs of controls. UNC5b expression is always higher in spindle compared to round MDMs, regardless of the subgroup. Finally, CAD patients with higher intracellular Netrin-1 levels showed greater intraplaque macrophage accumulation in vivo. Our findings support the role of Netrin-1 and UNC5b in the atherosclerotic process.</p>
Dataset related to the article "Persistent long-term platelet activation and endothelial perturbation in women with Takotsubo syndrome"
<p>This record contains raw data related to the article "Persistent long-term platelet activation and endothelial perturbation in women with Takotsubo syndrome"</p> <p><strong>Background: </strong>Takotsubo (TTS) syndrome is an acute cardiac condition characterized by transient and reversible left ventricle dysfunction that mainly affects postmenopausal women. Catecholamine burst is the most accredited mechanism underpinning TTS onset and leading to endothelial dysfunction and platelet activation. Even if the use of low dose acetylsalycilic acid (ASA) in this clinical setting is based on both clinical presentation and unfavorable long-term prognosis, its efficacy has been recently challenged.</p> <p><strong>Aim: </strong>This study was designed to assess endothelial function, residual thromboxane formation and platelet aggregation in TTS women on low-dose ASA treatment at long-term follow-up.</p> <p><strong>Methods: </strong>Twenty-eight females with previously diagnosis of TTS syndrome were enrolled. Data were compared to those obtained from 23 coronary artery disease (CAD) women with a history of acute myocardial infarction, and 26 control subjects with no TTS or clinically evident CAD. Psychological and clinical profile were assessed in all study groups at the enrollment. Main metabolites involved in L-arginine/nitric oxide pathway, urinary prostacyclin, serum and urine thromboxane metabolites were measured by LCMS/MS methods. Thrombomodulin levels were quantified using an ELISA kit, and platelet aggregation, carried out on platelet rich-plasma, was induced by ADP or by epinephrine (EPI), norepinephrine (NORE) and TRAP-6, alone or in association with ADP and evaluated by Born's method.</p> <p><strong>Results: </strong>In TTS women an endothelial derangement, characterized by reduced citrulline production and increased thrombomodulin concentration, with no perturbation in prostacyclin levels, was evidenced. In addition, despite ASA treatment, TTS displayed a higher residual thromboxane formation, in parallel with an enhanced platelet response to compared to CAD.</p> <p><strong>Conclusions: </strong>Our study highlighted the presence of endothelial perturbation in TTS patients even at long-term from the index event. The residual thromboxane production and platelet aggregation still leave open the question about the use of low dose ASA in this clinical setting.</p>
Dataset related to the article "Red Blood Cell Morphodynamics: A New Potential Marker in High-Risk Patients"
<p>This record contains raw data related to the article "Red Blood Cell Morphodynamics: A New Potential Marker in High-Risk Patients"</p> <p>In the last years, a substantial contribution of red blood cells (RBCs) in cardiovascular homeostasis has been evidenced, as these cells are able to regulate cardiovascular function by the export of adenosine triphosphate and nitric oxide as well as to maintain redox balance through a well-developed antioxidant system. Recently a link between high-risk plaque (HRP) features and myocardial ischemia, in the absence of severe lumen stenosis, has been evidenced. Nonobstructive coronary artery disease (nonob CAD) has been associated in fact with a greater 1-year risk of myocardial infarction and all-cause mortality compared with no apparent CAD. This new evidence increases interest in searching new triggers to identify these high-risk patients, in the absence/or on top of traditional hazard markers. In this study, we investigated the existence of any association between RBC morphodynamics and HRP features in individuals with different grades of coronary stenosis detected by coronary computed tomography angiography (CCTA). Ninety-one consecutive individuals who underwent CCTA [33 no CAD; 26 nonobstructive (nonob), and 32 obstructive (ob) CAD] were enrolled. RBC morphodynamic features, i.e., RBC aggregability and deformability, were analyzed by means of Laser Assisted Optical Rotation Cell Analyzer (LoRRca MaxSis). The putative global RBC morphodynamic (RMD) score and the related risk chart, associating the extent of HRP (e.g., the non-calcified plaque volume) with both the RMD score and the max % stenosis were computed. In nonob CAD group only positive correlations between RBC rigidity, osmotic fragility or aggregability and HRP features (plaque necrotic core, fibro-fatty and fibro-fatty plus necrotic core plaque volumes) were highlighted. Interestingly, in this patient cohort three of these RBC morphodynamic features result to be independent predictors of the presence of non-calcified plaque volume in this patients group. The risk chart created shows that only in nonob CAD plaque vulnerability increases according to the score quartile. Findings of this work, by evidencing the association between erythrocyte morphodynamic characteristics assessed by LoRRca and plaque instability in a high-risk cohort of nonob CAD, suggest the use of these blood cell features in the identification of high-risk patients, in the absence of severe coronary stenosis.</p>
Dataset related to article "Biological Characteristics and Long-term Outcomes in Node-negative Breast Cancer"
<p>This record contains raw data related to article “Biological Characteristics and Long-term Outcomes in Node-negative Breast Cancer"</p> <p>Because the risk of relapse of node-negative breast cancer (BC) is largely varying, we evaluated the prognosis of a cohort of 1276 patients with this disease and the factors associated with increased risk of relapse. Overall, in nodenegative BC, age, hormonal receptor status, tumor size, and Ki67 were prognostic factors. The triple-negative BC subtype was not associated with a poorer prognosis compared with the human epidermal growth factor receptor 2-positive subtype, but showed a worse overall survival compared with luminal-like BC. Background: Because the risk of relapse of node-negative breast cancer (BC) is varying, we evaluated the prognosis of patients with this disease and the factors associated with increased risk of relapse. Patients and Methods: The clinical charts of patients with BC with evidence of negative nodes and with a potential 5-year follow-up were retrospectively reviewed</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.