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ShareScore release 0.9.0
Dataset results
278 results for “sarcoidosis”
Biomaterial Collection - and Analysis in Cardiac Sarcoidosis
ClinicalTrials.gov study NCT05793398. IPD Sharing: NO. Countries: 0. Publications: 0.
A Study of XTMAB-16 in Patients With Pulmonary Sarcoidosis
ClinicalTrials.gov study NCT05890729. IPD Sharing: Not stated. Countries: 6. Publications: 0.
18F-FDG PET Imaging in Cardiac Sarcoidosis
ClinicalTrials.gov study NCT01764191. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Phase 2 Study With CC-220 in Skin Sarcoidosis
ClinicalTrials.gov study NCT02192489. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Study to Determine the Efficacy of Adalimumab in the Treatment of Cutaneous Sarcoidosis
ClinicalTrials.gov study NCT00690911. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Comparison of Characteristics of Bronchoalveolar Lavage Dusting and of Specific Questionnary Data in Healthy Volunteers and Patients Suffering From Sarcoidosis
ClinicalTrials.gov study NCT02863406. IPD Sharing: NO. Countries: 0. Publications: 0.
Investigation of the Efficacy of Metformin Therapy on Pulmonary Sarcoidosis
ClinicalTrials.gov study NCT05910554. IPD Sharing: NO. Countries: 0. Publications: 0.
Single-cell and spatial architecture of human tissue granulomas reveals an aberrant immune-regulatory program underlying sarcoidosis
GEO Series GSE192461. Homo sapiens. 57 samples. Type: Expression profiling by high throughput sequencing.
Effects of azithromycin on blood inflammatory gene expression and cytokine production in sarcoidosis
GEO Series GSE274707. Homo sapiens. 32 samples. Type: Expression profiling by array.
RNA-seq of control and sarcoidosis human nasal airway epithelial cell cultures
GEO Series GSE252763. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
Spatial transcriptomic signatures of cardiac sarcoidosis
GEO Series GSE314910. Homo sapiens. 12 samples. Type: Other.
Single Cell Transcriptome Signatures of Sarcoidosis in Lung Immune Cell Populations
GEO Series GSE288459. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing.
Activity of the GHRH Antagonist MIA-602 and its Underlying Mechanisms of Action in sarcoidosis
GEO Series GSE156397. Mus musculus. 3 samples. Type: Expression profiling by high throughput sequencing.
Sarcoidosis miRNA Blood Profiles
GEO Series GSE26409. Homo sapiens. 100 samples. Type: Non-coding RNA profiling by array.
Trancriptional signatures of dexamethasone-treated sarcoidosis alveolar macrophages (AMs)
GEO Series GSE150842. Homo sapiens. 20 samples. Type: Expression profiling by high throughput sequencing.
Trancriptional signatures of dexamethasone-treated sarcoidosis monocytes.
GEO Series GSE150049. Homo sapiens. 20 samples. Type: Expression profiling by high throughput sequencing.
Serum metabolic disparity between pulmonary Sarcoidosis (SAR) and Tuberculosis (TB) revealed by NMR based metabolomics study
<p>Tuberculosis (TB) -a pulmonary granulomatous disease- is the leading cause of death worldwide from a single infectious disease agent especially in developing countries such as India. Current diagnostic methodologies often lack specificity and sensitivity; therefore, there is an immense clinical interest to investigate alternative biomarker signatures for obtaining a conclusive and suggestive diagnosis of TB. Particular challenge arises for treating physicians while differentiating TB from sarcoidosis (SAR) which is an uncommon granulomatous disease and shares the similar clinical, radiological and pathological features with TB. Symptoms common in TB such as cough, fever, fatigue, and weight-loss are often manifested in sarcoidosis as well. As India accounts for more than 26% of global burden of TB cases and epidemiological data about sarcoidosis is unknown, most of the sarcoidosis patients end up receiving anti tubercular therapy (ATT) erroneously, leading to delayed proper treatment and considerable risk of drug induced toxicity, whereas lung damage continues to progress in this backdrop. Therefore, there is an urgent unmet need to identify non-invasive biomarker(s) for differentiating sarcoidosis from TB. Metabolomics analysis of serum holds great potential to provide distinctive patterns of metabolic profiles relevant to underlying disease processes and thus may aid in rapid clinical diagnosis and guiding appropriate treatment.</p> <p>Starting our efforts in this direction, the serum metabolic profiles of sarcoidosis and active TB patients were measured using 800 MHz NMR Spectroscopy and compared using the multivariate and univariate statistical analysis tools. The partial least square discriminatory analysis (PLS-DA) revealed significant serum metabolic disparity between SAR and TB with respect to normal control subjects [1-5]. Compared to SAR, the sera of TB patients were characterized by (a) elevated levels of lactate, acetate, 3-hydroxybutyrate (3HB), glutamate and succinate (b) decreased levels of glucose, citrate, pyruvate, glutamine, and various lipid and membrane metabolites (such as very-low/low density lipoproteins (VLDL/LDL), polyunsaturated fatty acids, etc.).</p> <p>The altered circulatory levels of glucose (decreased) and lactate (increased) were found well consistent with previous report [6] demonstrating that infection with Mycobacterium tuberculosis (MTb) induces the Warburg effect in mouse lungs. A very recent study reported increased production of glutamate from mitochondrial glutaminolysis and pleiotropic roles of glutamine metabolism in the metabolic reprogramming of MTb infected M1-like macrophages [7]. A previous study published in Science [8] reported the suppression of oxidative stress by 3HB. Another study published in scientific report demonstrated that of <em>Mycobacterium tuberculosis</em> (MTb) secretory protein ESAT-induces GLUT-1 mediated enhanced glucose uptake by macrophages and increased fatty acid biosynthesis (to drive foamy macrophage differentiation) which in turn results in release of 3HB in the extracellular environment [9]. Based on previously reported metabolic derangements in MTb infected systems and our results derived from NMR-based serum metabolomics, the following remarks have been drawn:</p> <ul> <li><strong>Active TB infection </strong>induces Warburg effect as inferred from the decreased serum levels of glucose and elevated levels of lactate</li> <li><strong>Active TB infection </strong>causes increased biosynthesis of fatty acids as inferred from the decreased serum levels of citrate and increased levels of acetate and 3-Hydroxybutyrate (3-HB)</li> <li><strong>Active TB infection </strong>manipulates oxidative stress (OS) induced pathogen killing host-defense mechanism as inferred from decreased circulatory phenylalanine-to-tyrosine ratio (PTR) and 3HB (known to suppress OS)</li> <li><strong>Active TB infection </strong>induces augmented utilization of glutamine (an immunomodulatory nutrient) as inferred from the decreased serum levels of glutamine and increased serum levels of glutamate and succinate</li> <li><strong>Active TB infection </strong>induces dyslipidemia as inferred from the decreased NMR signals of very-low/low density lipoproteins (VLDL/LDL) and polyunsaturated fatty acids (PUFAs)</li> </ul> <p><strong>References:</strong></p> <ol> <li>Dinesh Kumar, Ritu Raj, Avinash Jain , Anupam Guleria, Umesh Kumar, Mohit K Rai, Harshit Singh, Saurabh Chaturvedi, Alok Nath, Durga P Misra and Vikas Agarwal, “Serum based metabolomics analysis revealed highly sensitive and specific panel of metabolic markers for differential diagnosis of Pulmonary Sarcoidosis and Tuberculosis” (Conference paper presented during IRACON-2018). F1000Research 2019, 8:304 (DOI: 10.7490/f1000research.1116481.1)</li> <li>Dinesh Kumar, Avinash Jain, Amit Kumar, Anupam Guleria, Ritu Raj, Harshit Singh, Mohit K Rai, Saurabh Chaturvedi, Alok Nath, Durga P Misra, and Vikas Agarwal, “Targeted nuclear magnetic resonance-based serum metabolomics analysis revealed significantly higher phenylalanine/tyrosine ratio in pulmonary sarcoidosis patients compared to tuberculosis patients”, (Conference Paper selected for Oral Presentation in IRACON 2018: OPC0034) Indian J Rheumatol (2018), vol 13 (Issue 6) Suppl S2:79-92 (DOI: 10.4103/0973-3698.247335)</li> <li>Avinash Jain, Amit Kumar, Harshit Singh, Mohit Kumar Rai, Saurabh Chaturvedi, Anupam Guleria, Alok Nath, Dinesh Kumar, Durga Prasanna Misra, and Vikas Agarwal, “Nuclear magnetic resonance (NMR) based Serum Metabolomics in Sarcoidosis and Tuberculosis – Search for a Biomarker”, (Received Best Oral Award) (Conference Paper selected for Oral Presentation in IRACON 2018: OPC0030) Indian J Rheumatol (2018), vol 13 (Issue 6) Suppl S2:79-92 (DOI: 10.4103/0973-3698.247335).</li> <li>Dinesh Kumar, Avinash Jain, Amit Kumar, Anupam Guleria, Alok Nath, Durga Prasanna Misra, Vikas Agarwal, “Diagnostic panel of biomarkers for the assessment of sarcoidosis and tuberculosis identified using NMR based serum metabolomics approach” (Poster Presented during BSRAC-2018) F1000Research (2018), 7:18 (doi: 10.7490/f1000research.1115194.1)</li> <li>Avinash Jain, Amit Kumar, Harshit Singh, Mohit K Rai, Saurabh Chaturvedi, Anupam Guleria, Alok Nath, Dinesh Kumar, Durga P Misra and Vikas Agarwal, “Nuclear magnetic resonance (NMR) based serum metabolomics in sarcoidosis and tuberculosis: search for a biomarker” (Poster Presentation during British Society for Rheumatology Annual Conference 2018 | BSRAC-2018) Rheumatology (April 2018), Vol 57, Issue suppl_3 (DOI: 10.1093/rheumatology/key075.338).</li> <li>Shi, L., Salamon, H., Eugenin, E.A., Pine, R., Cooper, A. and Gennaro, M.L., 2015. Infection with Mycobacterium tuberculosis induces the Warburg effect in mouse lungs. Scientific reports, 5(1), pp.1-13.</li> <li>Jiang, Qingkui, and Lanbo Shi. "Coordination of the uptake and metabolism of amino acids in Mycobacterium tuberculosis-infected macrophages." Frontiers in Immunology 12 (2021).</li> <li>Shimazu, T., Hirschey, M.D., Newman, J., He, W., Shirakawa, K., Le Moan, N., Grueter, C.A., Lim, H., Saunders, L.R., Stevens, R.D. and Newgard, C.B., 2013. Suppression of oxidative stress by β-hydroxybutyrate, an endogenous histone deacetylase inhibitor. <em>Science</em>, <em>339</em>(6116), pp.211-214.</li> <li>Singh, V., Kaur, C., Chaudhary, V.K., Rao, K.V. and Chatterjee, S., 2015. M. tuberculosis secretory protein ESAT-6 induces metabolic flux perturbations to drive foamy macrophage differentiation. <em>Scientific reports</em>, <em>5</em>(1), pp.1-12.</li> </ol>
Genetic characterization of bronchoalveolar lavage fluid cells from patients with IPF and sarcoidosis
GEO Series GSE121500. Homo sapiens. 21 samples. Type: Expression profiling by array.
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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.
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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.