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15,733 results for “article”
data set related to article Longitudinal data of neuropsychological profile in a cohort of Duchenne muscular dystrophy boys without cognitive impairment
<p>This record contains raw data related to article Longitudinal data of neuropsychological profile in a cohort of Duchenne muscular dystrophy boys without cognitive impairment</p>
data set from the article Iacobellis G, Malavazos AE, Basilico S, Tresoldi S, Rinaldo RF, Dubini C, Capitanio G, Serpi F, Schiaffino S, Oliva OA, Cariati M, Morricone L, Centanni S, Sardanelli F, Carruba M, Corsi Romanelli MM, Secchi F. Epicardial fat inflammation response to COVID-19 therapies. Obesity (Silver Spring). 2021 Sep;29(9):1427-1433. doi: 10.1002/oby.23232. Epub 2021 Aug 3. PMID: 34028990; PMCID: PMC8242726.
<p>data set from the article Iacobellis G, Malavazos AE, Basilico S, Tresoldi S, Rinaldo RF, Dubini C, Capitanio G, Serpi F, Schiaffino S, Oliva OA, Cariati M, Morricone L, Centanni S, Sardanelli F, Carruba M, Corsi Romanelli MM, Secchi F. Epicardial fat inflammation response to COVID-19 therapies. Obesity (Silver Spring). 2021 Sep;29(9):1427-1433. doi: 10.1002/oby.23232. Epub 2021 Aug 3. PMID: 34028990; PMCID: PMC8242726.</p> <p> </p> <p>Abstract:</p> <p><strong>Objective: </strong>Adipose tissue plays a role in the novel coronavirus disease 2019 (COVID-19). Epicardial adipose tissue (EAT), a unique visceral fat, presents with a high degree of inflammation in severe COVID-19. Whether and how adipose tissue may respond to the COVID-19 therapies is unknown.</p> <p><strong>Methods: </strong>The difference in computed tomography-measured EAT and subcutaneous (SAT) attenuation, defined as mean attenuation expressed in Hounsfield units (HU), was retrospectively analyzed in 72 patients (mean [SD] age was 59.6 [12.4] years, 50 patients [69%] were men) at the hospital admission for COVID-19 and 99 days (interquartile range = 71-129) after discharge.</p> <p><strong>Results: </strong>At the admission, EAT-HU was significantly correlated with blood glucose levels, interleukin 6, troponin T levels, and waist circumference. EAT-HU decreased from -87.21 (16.18) to -100.0 (11) (p < 0.001), whereas SAT-HU did not change (-110.21 [12.1] to -111.11 [27.82]; p = 0.78) after therapy. Changes in EAT-HU (expressed as ∆) significantly correlated with dexamethasone therapy (r = -0.46, p = 0.006) and when dexamethasone was combined with tocilizumab (r = -0.24, p = 0.04).</p> <p><strong>Conclusions: </strong>Dexamethasone therapy was associated with significant reduction of EAT inflammation in COVID-19 patients, whereas SAT showed no changes. Anti-inflammatory therapies targeting visceral fat may be helpful in COVID-19.</p>
Dataset related to article "Modifications to the framework regions eliminate chimeric antigen receptor tonic signaling"
<p>Dataset of raw data related to article mentioned at title </p>
Dataset related to article "Mannose binding lectin (MBL) genetics in COVID-19"
<p>This record contains data related to article "Mannose binding lectin (MBL) genetics in COVID-19"</p> <p> </p> <p>not abstract avaible</p> <p> </p>
Dataset related to article "Incidence and predictors of blood transfusions in one-stage bilateral total hip arthroplasty: a single center prospective cohort study"
<p>This record contains raw data related to article " Incidence and predictors of blood transfusions in one-stage bilateral total hip arthroplasty: a single center prospective cohort study".</p> <p>Introduction: The safety of performing one-stage bilateral total hip arthroplasty (THA) remains controversial among the orthopedic community. The aim of the present study was to determine the incidence and predictors of blood transfusions in one-stage bilateral THA performed in a high-volume single center. Patients and methods: Patients undergoing one-stage bilateral THA between 2015 and 2017 were included. The following data were collected from the hospital medical records: age, body mass index (BMI), American Society of Anaesthesiologists (ASA) score, smoking habit, comorbidities, preoperative serum creatinine, serum iron, ferritin, C-reactive protein (CRP), and hemoglobin (Hb). The Hb levels at postoperative day 1 and 3 were also collected. Results: A total of 367 patients with a mean age of 56.1 years (range, 32-79) were included. Forty-eight (13%) patients were transfused with a mean number of 1.6 blood units per patient. In non-transfused patients, the average Hb drop was 3.6 (SD ±1) g/dL and 4.9 g/dL (SD ±1.3) at postoperative day 1 and day 3, respectively. The average preoperative Hb level was 14.64 (SD ±1.21) g/dL. In the univariate logistic regression, the following variables were predictive factors for transfusions: male gender (OR 0.447; P=0.01), preoperative hemoglobin level (OR 0.622; P=0.001), preoperative ferritin level (OR 0.995; P=0.016), BMI (OR 0.837; P=0.001), cardiopathy (OR 3.534; P=0.046), preoperative anaemia (OR 10.54; P=0.011). In the multivariate logistic regression only preoperative hemoglobin level (OR 0.666; P=0.01), and BMI (OR 0.868; P=0.007) were statistically significant.</p> <p>Conclusions: The incidence of blood transfusions after one-stage bilateral THA is low in non-anemic patients operated on at a high-volume arthroplasty center. The main predictors of blood transfusions are preoperative Hb level and BMI.</p>
pain - burden - submitted article
<p>xls files reporting raw data from next generation sequencing experiments</p>
Dataset related to article "A Target Animal Effectiveness Study on Adjuvant Peptide-Based Vaccination in Dogs with Non-Metastatic Appendicular Osteosarcoma Undergoing Amputation and Chemotherapy "
<p>This record contains raw data related to article “A Target Animal Effectiveness Study on Adjuvant Peptide-Based Vaccination in Dogs with Non-Metastatic Appendicular Osteosarcoma Undergoing Amputation and Chemotherapy"</p> <p>Despite efforts to develop novel treatment strategies, human and canine osteosarcomas continue to have poor prognosis and limited overall survival. The aim of this clinical trial was to test the antitumor effect and safety of multiple dermal administrations of a peptide-based anticancer vaccine in dogs with non-metastatic appendicular osteosarcoma undergoing standard of care (SOC), consisting of limb amputation and adjuvant chemotherapy. Salmonella-infected canine osteosarcoma cells were induced to release immunogenic peptides in the extracellular space via Cx43 hemichannels opening; the secretome was collected and constituted the vaccine. Dogs with non-metastatic appendicular osteosarcoma were eligible for recruitment. Following limb amputation and adjuvant carboplatin, dogs were vaccinated on a monthly basis for six times and followed up with serial thoracic radiographs. A population of dogs undergoing SOC treatment (amputation and adjuvant carboplatin) before the vaccine was available served as controls. Primary endpoints were time to metastasis (TTM) and tumor-specific survival (TSS). Secondary endpoints were feasibility, toxicity, T-cell and humoral immune responses. A total of 20 dogs were vaccinated along with SOC and 34 received SOC only. Vaccine-specific humoral and T-cell responses were observed; their amplitude correlated with TSS. Vaccine-associated toxicity was not recorded. TTM and TSS were significantly longer in vaccinated versus unvaccinated dogs (TTM: 308 vs. 240 days, respectively; <em>p</em> = 0.010; TSS: 621 vs. 278 days, respectively; <em>p</em> = 0.002). In dogs with non-metastatic osteosarcoma undergoing SOC, the addition of a bacteria-based vaccination strategy increased TTM, thereby prolonging survival, while maintaining a safe profile. Additionally, vaccinated dogs developed a long-term tumor-specific response, as documented by the immunomonitoring of these patients over time. These results hold promise for future management of canine osteosarcoma</p>
Raw Data supporting the article "EPILEPTIC SYNDROME WITH MYOCLONUS AS MANIFESTATION OF ADULT‑ONSET CBLC DEFICIENCY"
<p>.pptx file containing EEG recording</p>
Dataset related to the article "Looking back to look forward: what to expect in a REDO surgery for a bioprosthesis replacement"
<p>This record contains raw data related to the article “Looking back to look forward: what to expect in a REDO surgery for a bioprosthesis replacement”</p> <p>REDO surgeries are becoming more common because an increased rate of bioprosthesis implantation. We performed Retrospective study on patients who underwent replacement of aortic and/or mitral bioprosthesis between 2005 and 2018 to evaluate intra-hospital mortality and morbidity. Univariate analysis is performed on the propensity score variables to determine predictors of mortality. A total of 180 patients were enrolled in the study: Group A (replacement of aortic bioprosthesis) with 136 patients (75.56%) and group B (replacement of mitral bioprosthesis ± aortic bioprosthesis) with 44 patients (24.44%). NYHA class≥3 and female sex were significantly more common in group B. Cardiopulmonary-bypass time and aortic cross-clamping time in group A and group B were, respectively, 154.95±74.35 and 190.25±77.44 (p=0.0005) and 115.99±53.54 and 144.91±52.53 (p=0.0004). Overall mortality was 8.89%. At propensity score adjustment, Group B was confirmed to have an increased risk of death (OR 3.32 CI 95% 1.02 – 10.88 p < 0.0001), gastro-intestinal complications (OR 7.784 CI 95% 1.005 – 60.282 p< 0.0002) and pulmonary complications ( OR 2.381 CI 95% 1.038 – 5.46 p < 0.0001). At the univariate analysis, endocarditis, cardiopulmonary-bypass and aortic cross clamping time, NYHA class≥3, urgency setting were significantly associated to death. Intra-hospital outcomes are acceptable regarding mortality and complications. Patients who need REDO surgery on mitral bioprosthesis have an increased risk of post operative pulmonary and gastro-intestinal complications and mortality. Therefore the choice of mitral bioprosthesis at time of first surgery should be carefully evaluated.</p>
Dataset related to article "Single-Cell and Single-Nucleus Multiomics Reveal Cardiac Endothelial Cell Heterogeneity and Novel Pathological Processes in Pressure Overload-Induced Hypertrophy"
<p>This record contains raw data related to article “<em><span>Single-Cell and Single-Nucleus Multiomics Reveal Cardiac Endothelial Cell Heterogeneity and Novel Pathological Processes in Pressure Overload-Induced Hypertrophy</span></em>"</p> <p>Endothelial cells, the most prevalent cellular population in the heart, line the internal walls of coronary and lymphatic vessels and form the endocardium and cardiac valves. The heterogeneity of cardiac endothelium poses a challenge in fully understanding endothelial states. However, to better grasp the plasticity of endothelial cell phenotypes, it's crucial to distinguish the varied responses of endothelial populations to physiological and pathological stimuli. Endothelial dysfunction plays a significant role in the development and progression of heart failure, a condition impacting millions globally. For the heart to sustain pressure-overload-induced remodelling, endothelial cells must proliferate and generate new blood vessels. When cardiomyocyte hypertrophy and angiogenesis become uncoupled, it leads to decompensated heart failure. Despite this, the molecular mechanisms governing cardiac vascularization during pathological hypertrophy remain unclear.</p> <p>Transcriptional phenotyping methods have been widely used to capture endothelial cell plasticity and heterogeneity. However, only single-cell profiling has effectively resolved distinct phenotypes. While single-cell RNA sequencing can create detailed cellular maps and cell-to-cell communication networks, it does not fully elucidate how gene regulatory programs are established or how cell states, functions, and responses are specified. To address these gaps, multimodal omics approaches have been developed, allowing for simultaneous profiling of chromatin accessibility and gene expression within the same cell.</p> <p>In our study, we aimed to characterize the transcriptional and epigenetic profiles of cardiac endothelial cells in a mouse model of pressure-overload-induced hypertrophy using multiomics bioinformatic approaches at single-cell resolution. This innovative technology enabled us to uncover the regulatory mechanisms that drive endothelial cell sub-population specifications following banding. Our resulting atlas is intended to serve as a valuable reference and resource for future studies and the development of therapeutic strategies targeting endothelial cells in cardiovascular diseases.</p>
Dataset related to article "The predictive role of radiomics in breast cancer patients im-aged by [18F]FDG PET: preliminary results from a prospective cohort"
<p>This record contains raw data related to article “The predictive role of radiomics in breast cancer patients im-aged by [18F]FDG PET: preliminary results from a prospective cohort”</p> <p><strong><span>Abstract:</span></strong><span> Background: In the last decade, radiomics emerged as a source of image-derived biomarkers. However, existing data predominantly stem from retrospective analyses. We aimed to prospectively assess the predictive role of [<sup>18</sup>F]FDG PET radiomics in breast cancer (BC) patients. Methods: we prospectively enrolled stage I-III BC patients eligible for neoadjuvant chemotherapy (NAC), who underwent staging [18F]FDG PET/CT. All patients had data regarding pathological treatment response assessed in the post-NAC surgical specimen and were grouped in pathological complete responders (pCR) and pathological residual disease (non-pCR). Radiomic PET features were extracted from the volume of interest drawn on the primary breast lesion. The predictive role of clinical, histological, and radiomic data with respect to pCR was assessed. Univariate and multivariate statistics were used for inference; principal component analysis (PCA) was used for dimensionality reduction. Results: We analyzed 53 HER2+, and 40 triple-negative (TNBC) BC patients. pCR was obtained in 24/53(45%) HER2+ and 20/40(50%) TNBC patients. Age, molecular subtype, ki-67, and stage were not statistically different between classes and couldn’t predict pCR at multivariate analysis. At univariate analysis, 10 radiomic features resulted with a p < 0.1. 3/22 radiomic principal components (PC) were found to be discriminative for pCR. Using a cross-validation approach, the radiomic PC failed to discriminate pCR vs non-pCR groups but were able to predict the stage (mean accuracy = 0.79±0.08); Conclusions: These preliminary results demonstrate the potential of radiomic features extracted from PET for staging purposes in BC patients, while their possible role in predicting pCR to NAC needs to be further investigated.</span></p>
Dataset to the article "Probing Sodium Structures and Dynamics in Hard Carbon for Na-ion Batteries using 23Na Operando Solid-State NMR Spectroscopy" by M. Gabrijelčič et. al.
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Dataset raw data related to article "In-depth genetic and molecular characterization of Diaphanous Related Formin 2 (DIAPH2) and its role in the inner ear"
<p>This record contains the raw data (Exome sequencing) related to article "In-depth genetic and molecular characterization of DIAPH2 as a novel candidate gene for hearing loss"</p> <p><strong>ABSTRACT </strong></p> <p>Hereditary hearing loss is characterized by an extreme genetic heterogeneity. Nowadays, whole-exome sequencing represents a reasonably cost-effective approach for both mutational screening of known deafness genes and novel disease-gene identification. Here, we investigate the role of Diaphanous-related formin 2 (DIAPH2), coding for a protein involved in actin filament elongation, in nonsyndromic hearing loss. Using whole-exome sequencing, we found a predicted pathogenic missense variant at a conserved site in <em>DIAPH2</em>, which segregated with nonsyndromic X-linked hearing loss in an Italian family. Our immunohistochemical studies indicated that the mouse ortholog protein Diaph2 is expressed during development in the cochlea, specifically in the actin-rich stereocilia of the sensory outer hair cells. <em>In-vitro</em> studies showed a possible functional impairment of the mutant DIAPH2 protein upon RhoA-dependent activation. Finally, <em>Diaph2</em> knock-out and knock-in mice were generated by CRISPR/Cas9 technology and auditory brainstem response measurements performed at 4, 8 and 14 weeks. However, no hearing impairment was detected, possibly due to functional redundancy/compensation by other diaphanous proteins. Our findings indicate that <em>DIAPH2</em> may play a role in the inner ear; further studies are however needed to clarify the contribution of <em>DIAPH2</em> to deafness.</p> <p> </p>
PubMed Central Open Available Subset Simialr Articles (using BM25)
<p>PubMed Central Open Available Subset Simialr Articles (using BM25) </p>
Datase related to article "NOVEL DEEP INTRONIC MUTATION IN PLA2G6 CAUSING EARLY-ONSET PARKINSON'S DISEASE WITH BRAIN IRON ACCUMULATION THROUGH PSEUDO-EXON ACTIVATION"
<p>The database contains the sequencing data included in the article at title</p>
Dataset related to article "The antibody response to SARS-CoV-2 infection persists over at least 8 months in symptomatic patients"
<p>This set of data is related to article "The antibody response to SARS-CoV-2 infection persists over at least 8 months in symptomatic patients"</p> <p>Abstract</p> <p>The factors involved in the persistence of antibodies to SARS-CoV-2 are unknown. We evaluated the antibody response to SARS-CoV-2 in personnel from 10 healthcare facilities and its association with individuals’ characteristics and COVID-19 symptoms in an observational study. We enrolled 4735 subjects (corresponding to 80% of all personnel) over a period of 5 months when the spreading of the virus was drastically reduced. For each participant, we determined the rate of antibody increase or decrease over time in relation to 93 features analyzed in univariate and multivariate analyses through a machine learning approach. In individuals positive for IgG ( ≥ 12 AU/mL) at the beginning of th study, we found an increase [p= 0.0002] in antibody response in symptomatic subjects, particularly with anosmia/dysgeusia (OR 2.75, 95% CI 1.753 – 4.301), in a multivariate logistic regression analysis. This may be linked to the persistence of SARS-CoV-2 in the olfactory bulb.</p>
Dataset related to article: "Machine learning to predict mortality after rehabilitation among patients with severe stroke"
<p>We provide the raw data used for the following article:</p> <ul> <li>Scrutinio D, Ricciardi C, Donisi L, Losavio E, Battista P, Guida P, Cesarelli M, Pagano G, D'Addio G.<br> <em>Machine learning to predict mortality after rehabilitation among patients with severe stroke.</em> "Sci Rep." 2020 Nov 18;10(1):20127.<br> doi: 10.1038/s41598-020-77243-3. PMID: 33208913; PMCID: PMC7674405.</li> </ul> <p> </p> <p><strong>Abstract:</strong> Stroke is among the leading causes of death and disability worldwide. Approximately 20–25% of stroke survivors present severe disability, which is associated with increased mortality risk. Prognostication is inherent in the process of clinical decision-making. Machine learning (ML) methods have gained increasing popularity in the setting of biomedical research. The aim of this study was twofold: assessing the performance of ML tree-based algorithms for predicting three-year mortality model in 1207 stroke patients with severe disability who completed rehabilitation and comparing the performance of ML algorithms to that of a standard logistic regression. The logistic regression model achieved an area under the Receiver Operating Characteristics curve (AUC) of 0.745 and was well calibrated. At the optimal risk threshold, the model had an accuracy of 75.7%, a positive predictive value (PPV) of 33.9%, and a negative predictive value (NPV) of 91.0%. The ML algorithm outperformed the logistic regression model through the implementation of synthetic minority oversampling technique and the Random Forests, achieving an AUC of 0.928 and an accuracy of 86.3%. The PPV was 84.6% and the NPV 87.5%. This study introduced a step forward in the creation of standardisable tools for predicting health outcomes in individuals affected by stroke.</p>
Source data for the article of AFM-based multifaceted mechanoproperty characterisation of cancer cells with a fluid-containing porous medium model
<p>Source data for the article of AFM-based multifaceted mechanoproperty characterisation of cancer cells with a fluid-containing porous medium model</p>
Data sets of the article Sexual Risk Behaviour, Sexism and Prejudices Towards Sexual Openness, Homosexuality and Trans individuals amongst young people from Spain and the UK: Analysis of Related Variables.
<p>Data set of the article Evaluation of Sexual Risk Behaviour, Sexism and Prejudices Towards Sexual Openness, Homosexuality and Trans individuals amongst young people from Spain and the United Kingdom Analysis of Related Variables.</p> <p>Data set and SPSS Chart Making Template for doing the Confidence Interval of rho by country between the criterion variables and the scales.</p>
Canine distemper orginal research article dataset
<p>This original article research data set contain <strong>data regarding canine distemper virus that is isolated from clinical domestic dogs in Addis Ababa pet clinics, Ethiopia, and the work </strong>has been done by different professionals considering the worldwide occurrence of the disease. Thus, the previous underreporting of the cases in the study area is the reason that initiates do the work. All the respective collected samples from suggestive domestic clinical dogs were shipped to the national animal health diagnostic and investigation center, sebeta, in order to undertake the respective laboratory procedure (cell culture). Finally, the required data were collected and used for statistical analysis to write the original article.</p> <p> </p> <p> </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.