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15,733 results for “article”
Link to dataset related to article "DNA Methylation Signature in Monozygotic Twins Discordant for Psoriatic Disease"
<p>The record contains raw data related to the article "DNA Methylation Signature in Monozygotic Twins Discordant for Psoriatic Disease".</p> <p><strong>Background:</strong> Psoriatic disease is a multifactorial inflammatory condition spanning from skin and nail psoriasis (Pso) to spine and joint involvement characterizing psoriatic arthritis (PsA). Monozygotic twins provide a model to investigate genetic, early life environmental exposure and stochastic influences to complex diseases, mainly mediated by epigenetics. <strong>Methods:</strong> We performed a genome-wide DNA methylation study on whole blood of monozygotic twins from 7 pairs discordant for Pso/PsA using the Infinium Methylation EPIC array (Illumina). MeDiP-qPCR was used to confirm specific signals. Data were replicated in an independent cohort of seven patients with Pso/PsA and 3 healthy controls. Transcriptomic profiling was performed by RNAsequence on the same 7 monozygotic twin pairs. <strong>Results:</strong> We identified 2,564 differentially methylated positions between psoriatic disease and controls, corresponding to 1,703 genes, 59% within gene bodies. There were 19 regions with at least two DMPs within 1 kb of distance and significant within-pair Δ<em>β</em>-values (<em>p</em> < 0.005), among them SNX25, BRG1 and SMAD3 genes, all involved in TGF-β signaling pathway, were identified. Co-expression analyses on transcriptome data identified IL-6/JAK/STAT3 and TNF-α pathways as important signaling axes involved in the disease, and they also suggested an altered glucose metabolism in patients' immune cells, characteristic of pro-inflammatory T lymphocytes. <strong>Conclusion:</strong> The study suggests the presence of an epigenetic signature in affected individuals, pointing to genes involved in immunological and inflammatory responses. This result is also supported by transcriptome data, that altogether suggest a higher activation state of the immune system, that could promote the disease status.</p>
Dataset related to article "Is Anti-Müllerian Hormone a Marker of Ovarian Reserve in Young Breast Cancer Patients Receiving a GnRH Analog during Chemotherapy?"
<p> This record contains raw data related to article “Is Anti-Müllerian Hormone a Marker of Ovarian Reserve in Young Breast Cancer Patients Receiving a GnRH Analog during Chemotherapy?"</p> <p><strong><em>Introduction:</em></strong> Anti-Müllerian hormone (AMH) is the most reliable biomarker of ovarian reserve; however, its role in predicting ovarian recovery after chemotherapy is unclear. Administration of a GnRH analog (GnRHa) during chemotherapy significantly reduces the ovarian failure rate and increases the pregnancy rate. The available data on the behavior of AMH during concurrent administration of chemotherapy and GnRHa are inconsistent. We investigated whether concurrent administration of triptorelin and adjuvant chemotherapy might reduce the expected drop of AMH. <strong><em>Methods:</em></strong> Eligible patients were premenopausal women aged <40 years, with a diagnosis of early breast cancer, and candidates to 4–8 cycles of adjuvant chemotherapy. Triptorelin (3.75 mg i.m.) was started before chemotherapy and administered every 4 weeks thereafter. The principal endpoint was the proportion of patients with an AMH percent change ≤50% between 12 months after chemotherapy and basal levels. The secondary endpoint was the proportion of patients achieving postchemotherapy AMH levels above the threshold of 0.2 ng/mL. <strong><em>Results:</em></strong> Fifty patients were enrolled, 31 of whom had blood samples available at baseline and 1 year after the end of chemotherapy. AMH decreased to nearly undetectable levels after chemotherapy and recovered after 12 months, but they did not exceed 1 tenth of the pretreatment levels. As for the secondary endpoint, 15 of the 31 patients recovered AMH levels above the threshold. <strong><em>Conclusions:</em></strong> This study did not reach its principal endpoint; however, the rate of 48% of patients who recovered AMH above threshold levels favorably compared with those in studies without concurrent GnRHa, supporting a better recovery of AMH with triptorelin.</p>
Dataset related to article "Role of 11C Methionine Positron Emission Tomography (11CMETPET) for Surgery and Radiation Therapy Planning in Newly Diagnosed Glioblastoma Patients Enrolled into a Phase II Clinical Study "
<p>This record contains raw data related to article “Role of 11C Methionine Positron Emission Tomography (11CMETPET) for Surgery and Radiation Therapy Planning in Newly Diagnosed Glioblastoma Patients Enrolled into a Phase II Clinical Study "</p> <p>( 1) Background: We investigated the role of [11C]-methionine PET in a cohort of newly diagnosed glioblastoma multiforme (GBM) patients to evaluate whether it could modify the extent of surgical resection and improve radiation therapy volume delineation. (2) Methods: Newly diagnosed GBM patients, ages 18-70, with a Karnofsky performance scale (KPS) ≥ 70 with available MRI and [11C]-methionine PET were included. Patients were treated with different amounts of surgical resection followed by radio-chemotherapy. The role of [11C]-methionine PET in surgical and RT planning was analyzed. A threshold of SUVmax was searched. (3) Results: From August 2013 to April 2016, 93 patients were treated and included in this analysis. Residual tumor volume was detected in 63 cases on MRI and in 78 on [11C]-methionine PET, including 15 receiving gross total resection. The location of uptake was mainly observed in FLAIR abnormalities. [11C]-methionine uptake changed RT volume in 11% of patients. The presence of [11C]-methionine uptake in patients receiving GTR proved to influence survival (<em>p</em> = 0.029). The threshold of the SUVmax conditioning outcome was five. (4) Conclusions: [11C]-methionine PET allowed to detect areas at higher risk of recurrence located in FLAIR abnormalities in patients affected by GBM. A challenging issue is represented by integrating morphological and functional imaging to better define the extent of surgical resection to perform.</p>
Dataset related to article "Ipsilateral Breast Cancer Recurrence: Characteristics, Treatment, and Long-Term Oncologic Results at a High-Volume Center "
<p>This record contains raw data related to article “Ipsilateral Breast Cancer Recurrence: Characteristics, Treatment, and Long-Term Oncologic Results at a High-Volume Center"</p> <p><strong>Introduction: </strong> Salvage mastectomy is considered the treatment of choice for ipsilateral breast cancer recurrence (IBCR), even if a second breast-conserving surgery (BCS) is feasible. The purpose of this study was to describe the characteristics of IBCR patients, to compare the 2 therapeutic options in terms of long-term outcomes, and to identify independent factors that may predict the type of treatment.</p> <p><strong>Patients and methods: </strong> A total of 309 IBCR patients who underwent either repeat BCS or mastectomy were identified. All the analyzed patients with IBCR had true recurrence.</p> <p><strong>Results: </strong> Repeat BCS and salvage mastectomy were performed in 143 and 166 patients, respectively. Age < 65 years (59.6% vs 37.1% if age ≥ 65 years; odds ratio, 2.374; 95% confidence interval, 0.92-5.24; P = .018) and disease-free interval < 24 months (15.7% vs 10.5% if disease-free interval ≥ 24 months; odds ratio, 2.705; 95% confidence interval, 1.42-5.97; P = .007) were found to significantly increase the probability of receipt of mastectomy. Disease-free survival rates at 3, 5, and 10 years were 79.2%, 68.2%, and 36.9%; and 77.2%, 65.9%, and 55.3% in patients receiving repeat BCS or mastectomy, respectively (P = .842). Overall survival rates at 3, 5, and 10 years were 95.4%, 91.4%, and 68.5%; and 87.3%, 69.3%, and 57.9%, respectively, in patients receiving repeat BCS or mastectomy (P = .018).</p> <p><strong>Conclusion: </strong> Salvage mastectomy should not be considered the only treatment option for IBCR. A second BCS can still be evaluated and proposed to IBCR patients, with acceptable locoregional control and survival. The risk of poor long-term prognosis after mastectomy should be shared with the patient.</p>
Dataset related to article "Prognostic Value of Metabolic Imaging Data of 11 C-choline PET/CT in Patients Undergoing Hepatectomy for Hepatocellular Carcinoma "
<p>This record contains raw data related to article “Prognostic Value of Metabolic Imaging Data of <sup>11</sup> C-choline PET/CT in Patients Undergoing Hepatectomy for Hepatocellular Carcinoma"</p> <p><sup>11</sup>C-choline positron emission tomography/computed tomography (PET/CT) has been used for patients with some types of tumors, but few data are available for hepatocellular carcinoma (HCC). We queried our prospective database for patients with HCC staged with <sup>11</sup>C-choline PET/CT to assess the clinical impact of this imaging modality. Seven parameters were recorded: maximum standardized uptake value (SUVmax), mean standardized uptake value (SUVmean), liver standardized uptake value (SUVliver), metabolic tumor volume (MTV), photopenic area, metabolic tumor burden (MTB = MTVxSUVmean), and SUVratio (SUVmax/SUVliver). Analysis was performed to identify parameters that could be predictors of overall survival (OS). Sixty patients were analyzed: fourteen (23%) were in stage 0-A, 37 (62%) in stage B, and 9 (15%) in stage C of the Barcelona classification. The Cox regression for OS showed that Barcelona stages (HR = 2.94; 95%CI = 1.41-4.51; <em>p</em> = 0.003) and MTV (HR = 2.11; 95%CI = 1.51-3.45; <em>p</em> = 0.026) were the only factors independently associated with OS. Receiver operating characteristics curve analysis revealed MTV ability in discriminating survival (area under the curve (AUC) = 0.77; 95%CI = 0.57-097; <em>p</em> < 0.001: patients with MTV ≥ 380 had worse OS (<em>p</em> = 0.015)). The use of <sup>11</sup>C-choline PET/CT allows for better prognostic refinement in patients undergoing hepatectomy for HCC. Incorporation of such modality into HCC staging system should be considered.</p>
Dataset related to article "Apremilast for the treatment of palmo-plantar non-pustular psoriasis: A real-life single-center retrospective study"
<p>This record contains raw data related to article “Apremilast for the treatment of palmo-plantar non-pustular psoriasis: A real-life single-center retrospective study"</p> <p>Palmoplantar psoriasis (PP) is a type of psoriasis that involves the skin of the palms and soles and can present as hyperkeratotic, similar to the vulgaris psoriasis of the body. Apremilast, as an oral inhibitor of phosphodiesterase 4 (PDE4), is currently approved for the treatment of psoriatic arthritis and for moderate-to-severe psoriasis in adult patients who have not responded or have contraindications or do not tolerate other systemic treatments. We evaluated the efficacy and safety of apremilast in the treatment of non-pustular palmo-plantar psoriasis in a cohort of 12 patients. We found a clinical response of clear/almost clear palmoplantar psoriasis (PPPGA score 0/1) in 83.33% of our patients, at week 16. No significant safety issues were reported and none of our patients had to discontinue the drug.</p> <p> </p> <p> </p>
Dataset related to article "Intratumoral combination therapy with poly(I:C) and resiquimod synergistically triggers tumor-associated macrophages for effective systemic antitumoral immunity "
<p>This record contains raw data related to article “Intratumoral combination therapy with poly(I:C) and resiquimod synergistically triggers tumor-associated macrophages for effective systemic antitumoral immunity"</p> <p><strong>Background: </strong> Tumor-associated macrophages (TAMs) play a key immunosuppressive role that limits the ability of the immune system to fight cancer and hinder the antitumoral efficacy of most treatments currently applied in the clinic. Previous studies have evaluated the antitumoral immune response triggered by (TLR) agonists, such as poly(I:C), imiquimod (R837) or resiquimod (R848) as monotherapies; however, their combination for the treatment of cancer has not been explored. This study investigates the antitumoral efficacy and the macrophage reprogramming triggered by poly(I:C) combined with R848 or with R837, versus single treatments.</p> <p><strong>Methods: </strong> TLR agonist treatments were evaluated in vitro for toxicity and immunostimulatory activity by Alamar Blue, ELISA and flow cytometry using primary human and murine M-CSF-differentiated macrophages. Cytotoxic activity of TLR-treated macrophages toward cancer cells was evaluated with an in vitro functional assay by flow cytometry. For in vivo experiments, the CMT167 lung cancer model and the MN/MCA1 fibrosarcoma model metastasizing to lungs were used; tumor-infiltrating leukocytes were evaluated by flow cytometry, RT-qPCR, multispectral immunophenotyping, quantitative proteomic experiments, and protein-protein interaction analysis.</p> <p><strong>Results: </strong> Results demonstrated the higher efficacy of poly(I:C) combined with R848 versus single treatments or combined with R837 to polarize macrophages toward M1-like antitumor effectors in vitro. In vivo, the intratumoral synergistic combination of poly(I:C)+R848 significantly prevented tumor growth and metastasis in lung cancer and fibrosarcoma immunocompetent murine models. Regressing tumors showed increased infiltration of macrophages with a higher M1:M2 ratio, recruitment of CD4<sup>+</sup> and CD8<sup>+</sup> T cells, accompanied by a reduction of immunosuppressive CD206<sup>+</sup> TAMs and FOXP3<sup>+</sup>/CD4<sup>+</sup> T cells. The depletion of both CD4<sup>+</sup> and CD8<sup>+</sup> T cells resulted in complete loss of treatment efficacy. Treated mice acquired systemic antitumoral response and resistance to tumor rechallenge mediated by boosted macrophage cytotoxic activity and T-cell proliferation. Proteomic experiments validate the superior activation of innate immunity by poly(I:C)+R848 combination versus single treatments or poly(I:C)+R837, and protein-protein-interaction network analysis reveal the key activation of the STAT1 pathway.</p> <p><strong>Discussion: </strong> These findings demonstrate the antitumor immune responses mediated by macrophage activation on local administration of poly(I:C)+R848 combination and support the intratumoral application of this therapy to patients with solid tumors in the clinic.</p>
Dataset related to article: The role of diet on the risk of dementia in the oldest old: The Monzino 80-plus population-based study
<p>Pseudonimized single subject data relative to the results reported in the article, in .xlsx format</p>
Dataset related to article " Behavioural and cognitive phenotypes of patients with amyotrophic lateral sclerosis carrying SOD1 mutations" (manuscript submitted)
<p>Clinical and neuropsychological anonymized data of patients involved in the study presented in the submitted article mentioned at title </p>
Dataset for the paper: "Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims"
<p><strong>Overview</strong></p> <p>This dataset of medical misinformation was collected and is published by <a href="https://kinit.sk/">Kempelen Institute of Intelligent Technologies (KInIT)</a>. It consists of approx. 317k news articles and blog posts on medical topics published between January 1, 1998 and February 1, 2022 from a total of 207 reliable and unreliable sources. The dataset contains full-texts of the articles, their original source URL and other extracted metadata. If a source has a credibility score available (e.g., from Media Bias/Fact Check), it is also included in the form of annotation. Besides the articles, the dataset contains around 3.5k fact-checks and extracted verified medical claims with their unified veracity ratings published by fact-checking organisations such as Snopes or FullFact. Lastly and most importantly, the dataset contains 573 manually and more than 51k automatically labelled mappings between previously verified claims and the articles; mappings consist of two values: <em>claim presence </em>(i.e., whether a claim is contained in the given article) and <em>article stance </em>(i.e., whether the given article supports or rejects the claim or provides both sides of the argument).</p> <p>The dataset is primarily intended to be used as a training and evaluation set for machine learning methods for claim presence detection and article stance classification, but it enables a range of other misinformation related tasks, such as misinformation characterisation or analyses of misinformation spreading.</p> <p>Its novelty and our main contributions lie in (1) focus on medical news article and blog posts as opposed to social media posts or political discussions; (2) providing multiple modalities (beside full-texts of the articles, there are also images and videos), thus enabling research of multimodal approaches; (3) mapping of the articles to the fact-checked claims (with manual as well as predicted labels); (4) providing source credibility labels for 95% of all articles and other potential sources of weak labels that can be mined from the articles' content and metadata.</p> <p>The dataset is associated with the research paper "Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims" accepted and presented at ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '22). </p> <p>The accompanying <a href="https://github.com/kinit-sk/medical-misinformation-dataset">Github repository</a> provides a small static sample of the dataset and the dataset's descriptive analysis in a form of Jupyter notebooks.</p> <p>In order to obtain an access to the full dataset (in the CSV format), please, request the access by following the instructions provided below.</p> <p> </p> <p><strong>Note: </strong>Please, check also our <a href="https://doi.org/10.5281/zenodo.7737982">MultiClaim Dataset</a> that provides a more recent, a larger, and a highly multilingual dataset of fact-checked claims, social media posts and relations between them.</p> <p> </p> <p><strong>References</strong></p> <p>If you use this dataset in any publication, project, tool or in any other form, please, cite the following papers:</p> <pre><code>@inproceedings{SrbaMonantPlatform, author = {Srba, Ivan and Moro, Robert and Simko, Jakub and Sevcech, Jakub and Chuda, Daniela and Navrat, Pavol and Bielikova, Maria}, booktitle = {Proceedings of Workshop on Reducing Online Misinformation Exposure (ROME 2019)}, pages = {1--7}, title = {Monant: Universal and Extensible Platform for Monitoring, Detection and Mitigation of Antisocial Behavior}, year = {2019} }</code></pre> <pre><code>@inproceedings{SrbaMonantMedicalDataset, author = {Srba, Ivan and Pecher, Branislav and Tomlein Matus and Moro, Robert and Stefancova, Elena and Simko, Jakub and Bielikova, Maria}, booktitle = {Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '22)}, numpages = {11}, title = {Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims}, year = {2022}, doi = {10.1145/3477495.3531726}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3477495.3531726}, } </code></pre> <p><br><strong>Dataset creation process</strong></p> <p>In order to create this dataset (and to continuously obtain new data), we used our research platform <a href="https://rome2019.github.io/papers/Srba_etal_ROME2019.pdf">Monant</a>. The Monant platform provides so called data providers to extract news articles/blogs from news/blog sites as well as fact-checking articles from fact-checking sites. General parsers (from RSS feeds, Wordpress sites, Google Fact Check Tool, etc.) as well as custom crawler and parsers were implemented (e.g., for fact checking site Snopes.com). All data is stored in the unified format in a central data storage.<br><strong> <br> <br>Ethical considerations</strong></p> <p>The dataset was collected and is published for research purposes only. We collected only publicly available content of news/blog articles. The dataset contains identities of authors of the articles if they were stated in the original source; we left this information, since the presence of an author's name can be a strong credibility indicator. However, we anonymised the identities of the authors of discussion posts included in the dataset. </p> <p>The main identified ethical issue related to the presented dataset lies in the risk of mislabelling of an article as supporting a false fact-checked claim and, to a lesser extent, in mislabelling an article as not containing a false claim or not supporting it when it actually does. To minimise these risks, we developed a labelling methodology and require an agreement of at least two independent annotators to assign a claim presence or article stance label to an article. It is also worth noting that we do not label an article as a whole as false or true. Nevertheless, we provide partial article-claim pair veracities based on the combination of claim presence and article stance labels.</p> <p>As to the veracity labels of the fact-checked claims and the credibility (reliability) labels of the articles' sources, we take these from the fact-checking sites and external listings such as Media Bias/Fact Check as they are and refer to their methodologies for more details on how they were established.</p> <p>Lastly, the dataset also contains automatically predicted labels of claim presence and article stance using our baselines described in the next section. These methods have their limitations and work with certain accuracy as reported in this paper. This should be taken into account when interpreting them. <br><strong> <br> <br>Reporting mistakes in the dataset</strong><br>The mean to report considerable mistakes in raw collected data or in manual annotations is by creating a new issue in the accompanying <a href="https://github.com/kinit-sk/medical-misinformation-dataset">Github repository</a>. Alternately, general enquiries or requests can be sent at info [at] kinit.sk.</p> <p><br><strong>Dataset structure</strong></p> <p><em><strong>Raw data</strong></em></p> <p>At first, the dataset contains so called raw data (i.e., data extracted by the Web monitoring module of Monant platform and stored in exactly the same form as they appear at the original websites). Raw data consist of articles from news sites and blogs (e.g. naturalnews.com), discussions attached to such articles, fact-checking articles from fact-checking portals (e.g. snopes.com). In addition, the dataset contains feedback (number of likes, shares, comments) provided by user on social network Facebook which is regularly extracted for all news/blogs articles.</p> <p>Raw data are contained in these CSV files:</p> <ul> <li>sources.csv</li> <li>articles.csv</li> <li>article_media.csv</li> <li>article_authors.csv</li> <li>discussion_posts.csv</li> <li>discussion_post_authors.csv</li> <li>fact_checking_articles.csv</li> <li>fact_checking_article_media.csv</li> <li>claims.csv</li> <li>feedback_facebook.csv</li> </ul> <p><em>Note: Personal information about discussion posts' authors (name, website, gravatar) are anonymised.</em></p> <p><br><em><strong>Annotations</strong></em></p> <p>Secondly, the dataset contains so called annotations. Entity annotations describe the individual raw data entities (e.g., article, source). Relation annotations describe relation between two of such entities.</p> <p>Each annotation is described by the following attributes:</p> <ol> <li>category of annotation (`annotation_category`). Possible values: label (annotation corresponds to ground truth, determined by human experts) and prediction (annotation was created by means of AI method).</li> <li>type of annotation (`annotation_type_id`). Example values: Source reliability (binary), Claim presence. The list of possible values can be obtained from enumeration in annotation_types.csv.</li> <li>method which created annotation (`method_id`). Example values: Expert-based source reliability evaluation, Fact-checking article to claim transformation method. The list of possible values can be obtained from enumeration methods.csv.</li> <li>its value (`value`). The value is stored in JSON format and its structure differs according to particular annotation type.</li> </ol> <p><br>At the same time, annotations are associated with a particular object identified by:</p> <ol> <li>entity type (parameter `entity_type` in case of entity annotations, or `source_entity_type` and `target_entity_type` in case of relation annotations). Possible values: sources, articles, fact-checking-articles.</li> <li>entity id (parameter `entity_id` in case of entity annotations, or `source_entity_id` and `target_entity_id` in case of relation annotations).</li> </ol> <p><br>The dataset provides specifically these entity annotations:</p> <ul> <li>Source reliability (binary). Determines validity of source (website) at a binary scale with two options: reliable source and unreliable source.</li> <li>Article veracity. Aggregated information about veracity from article-claim pairs.</li> </ul> <p>The dataset provides specifically these relation annotations:</p> <ul> <li>Fact-checking article to claim mapping. Determines mapping between fact-checking article and claim.</li> <li>Claim presence. Determines presence of claim in article.</li> <li>Claim stance. Determines stance of an article to a claim. </li> </ul> <p><br>Annotations are contained in these CSV files:</p> <ul> <li>entity_annotations.csv</li> <li>relation_annotations.csv</li> </ul> <p><em>Note: Identification of human annotators authors (email provided in the annotation app) is anonymised.</em></p> <p> </p> <p><em><strong>Enumerations</strong></em></p> <p>Finally, the dataset provides additional CSV files with enumerations:</p> <ul> <li>media_types.csv</li> <li>source_types.csv</li> <li>annotation_types.csv</li> <li>methods.csv</li> </ul>
Data set related to the article: "BPIFB4 Circulating Levels and Its Prognostic Relevance in COVID-19 "
<p>This record contains raw data related to the article: "BPIFB4 Circulating Levels and Its Prognostic Relevance in COVID-19".</p> <p> </p> <p>Abstract</p> <p>Aging and comorbidities make individuals at greatest risk of COVID-19 serious illness and mortality due to senescence-related events and deleterious inflammation. Long-living individuals (LLIs) are less susceptible to inflammation and develop more resiliency to COVID-19. As demonstrated, LLIs are characterized by high circulating levels of BPIFB4, a protein involved in homeostatic response to inflammatory stimuli. Also, LLIs show enrichment of homozygous genotype for the minor alleles of a 4 missense single-nucleotide polymorphism haplotype (longevity-associated variant [LAV]) in BPIFB4, able to counteract progression of diseases in animal models. Thus, the present study was designed to assess the presence and significance of BPIFB4 level in COVID-19 patients and the potential therapeutic use of LAV-BPIFB4 in fighting COVID-19. BPIFB4 plasma concentration was found significantly higher in LLIs compared to old healthy controls while it significantly decreased in 64 COVID-19 patients. Further, the drop in BPIFB4 values correlated with disease severity. Accordingly to the LAV-BPIFB4 immunomodulatory role, while lysates of SARS-CoV-2-infected cells induced an inflammatory response in healthy peripheral blood mononuclear cells in vitro, the co-treatment with recombinant protein (rh) LAV-BPIFB4 resulted in a protective and self-limiting reaction, culminating in the downregulation of CD69 activating-marker for T cells (both TCD4+ and TCD8+) and in MCP-1 reduction. On the contrary, rhLAV-BPIFB4 induced a rapid increase in IL-18 and IL-1b levels, shown largely protective during the early stages of the virus infection. This evidence, along with the ability of rhLAV-BPIFB4 to counteract the cytotoxicity induced by SARS-CoV-2 lysate in selected target cell lines, corroborates BPIFB4 prognostic value and open new therapeutic possibilities in more vulnerable people.</p>
dataset related to article "Italian cohort of Lafora disease: Clinical features, disease evolution, and genotype-phenotype correlations"
<p>dataset relateto to article at title</p>
Dataset related to article "CDKL5 deficiency disorder in males: Five new variants and review of the literature"
<p>rawdata related to article at title</p>
Dataset related to article "Electroclinical features of MEF2C haploinsufficiency-related epilepsy: A multicenter European study"
<p>raw data related to article reported at title</p>
Dataset related to article "Early de-tethering: analysis of urological and clinical consequences in a series of 40 children"
<p>clinical dataset of raw data related to article at title</p>
dateset related to article: "SURGICAL TREATMENT AND CLINICAL OUTCOME OF LARGE PEDIATRIC INTERHEMISPHERIC CYSTS WITH CALLOSAL AGENESIS: A SYSTEMATIC LITERATURE REVIEW WITH FOUR ADDITIONAL PATIENTS "
<p>description of patient's charachteristics</p> <p> </p>
dataset related to article "INTRAOPERATIVE COMPOUND MUSCLE ACTION POTENTIALS (CMAPS) AMPLITUDE CHANGES AFTER DECOMPRESSION AND NEUROLYSIS OF PERIPHERAL NERVES IN UPPER LIMBS NEUROPATHIES: ELECTROPHYSIOLOGIAL CONSIDERATIONS AND RELATION WITH CLINICAL OUTCOME"
<p><strong>anonymised neurophysiological data of patiente involved in the study at title</strong></p>
datset related to article "Psychiatric autoimmune conditions in children and adolescents: Is catatonia a severity marker"
<p>xls dataset with clinical data of patient involved in the study at title</p>
data related to article "Myoclonic status epilepticus and cerebellar hypoplasia associated with a novel variant in the GRIA3 gene"
<p>Clinical data of patient followed in the study mentioned at title</p> <p> </p> <p> </p>
DATASET RELATED TO ARTICLE " Different circuitry dysfunction in drug-naive patients with juvenile myoclonic epilepsy and juvenile absence epilepsy"
<p>The dataset contains the connectivity data of patients involved in the study at title</p> <p> </p> <p> </p>
ScienceDex guides
Understand access before you commit
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.