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Sections: Correlations,
Clinical Trials, and HPO
Navigate: Clinical Trials and HPO
| Name (Synonyms) | Correlation | |
|---|---|---|
| drug709 | CLBS119 Wiki | 0.45 |
| drug2145 | Liquid Model Wiki | 0.45 |
| drug919 | Chronic Hypersensitivity Pneumonitis Health Related Quality of Life Survey Instrument Wiki | 0.45 |
| Name (Synonyms) | Correlation | |
|---|---|---|
| drug2146 | Liquid Peanut Extract Wiki | 0.45 |
| drug4645 | performance evaluation study of RealDetect RT-PCR Kit for COVID-19 detection Wiki | 0.45 |
| drug2940 | Placebo Glycerin SLIT Wiki | 0.45 |
| drug3968 | Tezepelumab Wiki | 0.32 |
| drug470 | BIIB091 Wiki | 0.32 |
| drug3252 | Rabeprazole Wiki | 0.32 |
| drug2028 | Itraconazole Wiki | 0.26 |
| drug2916 | Placebo Wiki | 0.02 |
| Name (Synonyms) | Correlation | |
|---|---|---|
| D000542 | Alveolitis, Extrinsic Allergic NIH | 0.45 |
| D001982 | Bronchial Diseases NIH | 0.45 |
| D005512 | Food Hypersensitivity NIH | 0.45 |
| Name (Synonyms) | Correlation | |
|---|---|---|
| D006969 | Hypersensitivity, Immediate NIH | 0.45 |
| D012130 | Respiratory Hypersensitivity NIH | 0.45 |
| D021183 | Peanut Hypersensitivity NIH | 0.45 |
| D007154 | Immune System Diseases NIH | 0.18 |
| D008171 | Lung Diseases, NIH | 0.18 |
| D001249 | Asthma NIH | 0.12 |
| D017563 | Lung Diseases, Interstitial NIH | 0.12 |
| D008173 | Lung Diseases, Obstructive NIH | 0.12 |
| D012140 | Respiratory Tract Diseases NIH | 0.09 |
| D007249 | Inflammation NIH | 0.08 |
| D011014 | Pneumonia NIH | 0.02 |
| Name (Synonyms) | Correlation | |
|---|---|---|
| HP:0012393 | Allergy HPO | 1.00 |
| HP:0006516 | Hypersensitivity pneumonitis HPO | 0.45 |
| HP:0002088 | Abnormal lung morphology HPO | 0.18 |
| Name (Synonyms) | Correlation | |
|---|---|---|
| HP:0002099 | Asthma HPO | 0.12 |
| HP:0006515 | Interstitial pneumonitis HPO | 0.12 |
| HP:0006536 | Pulmonary obstruction HPO | 0.12 |
| HP:0002090 | Pneumonia HPO | 0.02 |
Navigate: Correlations HPO
There are 5 clinical trials
Primary Objective: To determine if 36 months of peanut SLIT as an early intervention in subjects ages 1 to 4 years induces clinical desensitization. The primary outcome of this objective will be a statistically significant difference in challenge scores between the treatment group versus the placebo group during DBPCFC (Double blind placebo controlled food challenge) performed after 36 months of peanut SLIT (desensitization). Challenge scores are measured by the amount of peanut protein participants are able to ingest successfully without symptoms of an allergic reaction. [Time Frame: Baseline, 36 months] Secondary Objectives: A secondary outcome of this objective will be a statistically significant difference in the challenge score of the treatment group versus the placebo group during the DBPCFC performed 3 months after discontinuing therapy (tolerance). To examine the change in immune parameters associated with peanut SLIT and the development of clinical tolerance. Through this objective, the investigators will seek to understand the molecular processes by which SLIT affects the immune system through evaluation of immune mechanisms in relationship to clinical findings of desensitization and tolerance. The investigators will delineate the impact of peanut SLIT on the subsequent cellular and humoral responses to peanut protein: 1) peanut specific IgE, IgG, and IgG4 response, 2) peanut specific basophil activation, 3) mast cell responses through skin prick testing, and 4) specific T-cell cytokine responses and T regulatory cell (TReg) activation. The investigators anticipate that the effect of peanut SLIT will occur by induction of TRegs, conversion of T cells from an allergic (TH2) to a non-allergic (TH1) lymphocyte response (measured by cytokines, antibody levels, and skin prick test size), a change in peanut-specific basophil activation, or through a combination of the above. [Time Frame: Baseline, 39 months]
Description: The primary outcome is to detect a statistically significant difference in reaction thresholds to peanut between the treatment group versus the placebo group during DBPCFC (Double blind placebo controlled food challenge) performed after 36 months of peanut SLIT (desensitization). Challenge scores are measured by the amount of peanut protein participants are able to ingest successfully without symptoms of an allergic reaction. The difference is measured through utilization of an extreme value hazard function.
Measure: Percentage of participants desensitized to peanut using peanut SLIT as an early intervention in subjects ages 1 to 4 years Time: From baseline to 36 monthsDescription: Detect a statistically significant difference between reaction thresholds to peanut of the treatment group versus the placebo group during the DBPCFC performed 3 months after discontinuing therapy (tolerance).
Measure: Statistically significant difference in the challenge scores of the treatment group versus the placebo group during the DBPCFC performed 3 months after discontinuing therapy (tolerance) Time: From baseline to 39 monthsDescription: To examine the change in immune parameters associated with peanut SLIT and the development of clinical tolerance. Through this objective, the investigators will seek to understand the molecular processes by which SLIT affects the immune system through evaluation of immune mechanisms in relationship to clinical findings of desensitization and tolerance. The investigators will delineate the impact of peanut SLIT on the subsequent cellular and humoral responses to peanut protein. Detection of statistically significant differences will be measured through a two-sample t-test.
Measure: The change in peanut specific IgE levels Time: From baseline to 39 monthsDescription: To examine the change in immune parameters associated with peanut SLIT and the development of clinical tolerance. Through this objective, the investigators will seek to understand the molecular processes by which SLIT affects the immune system through evaluation of immune mechanisms in relationship to clinical findings of desensitization and tolerance. The investigators will delineate the impact of peanut SLIT on the subsequent cellular and humoral responses to peanut protein. Detection of statistically significant differences will be measured through a two-sample t-test.
Measure: The change in peanut specific IgG levels Time: From baseline to 39 monthsDescription: To examine the change in immune parameters associated with peanut SLIT and the development of clinical tolerance. Through this objective, the investigators will seek to understand the molecular processes by which SLIT affects the immune system through evaluation of immune mechanisms in relationship to clinical findings of desensitization and tolerance. The investigators will delineate the impact of peanut SLIT on the subsequent cellular and humoral responses to peanut protein. Detection of statistically significant differences will be measured through a two-sample t-test.
Measure: The change in peanut specific IgG4 levels Time: From baseline to 39 monthsDescription: To examine the change in immune parameters associated with peanut SLIT and the development of clinical tolerance. Through this objective, the investigators will seek to understand the molecular processes by which SLIT affects the immune system through evaluation of immune mechanisms in relationship to clinical findings of desensitization and tolerance. The investigators will delineate the impact of peanut SLIT on the subsequent cellular and humoral responses to peanut protein. Detection of statistically significant differences will be measured through a two-sample t-test.
Measure: The change in peanut specific basophil activation Time: From baseline to 39 monthsDescription: To examine the change in immune parameters associated with peanut SLIT and the development of clinical tolerance. Through this objective, the investigators will seek to understand the molecular processes by which SLIT affects the immune system through evaluation of immune mechanisms in relationship to clinical findings of desensitization and tolerance. The investigators will delineate the impact of peanut SLIT on the subsequent cellular and humoral responses to peanut protein. Detection of statistically significant differences will be measured through a two-sample t-test.
Measure: The change in responses of mast cell as measured by prick skin testing to peanut Time: From baseline to 39 monthsDescription: To examine the change in immune parameters associated with peanut SLIT and the development of clinical tolerance. Through this objective, the investigators will seek to understand the molecular processes by which SLIT affects the immune system through evaluation of immune mechanisms in relationship to clinical findings of desensitization and tolerance. The investigators will delineate the impact of peanut SLIT on the subsequent cellular and humoral responses to peanut protein. Detection of statistically significant differences will be measured through a two-sample t-test.
Measure: The change in specific T-cell cytokine responses Time: From baseline to 39 monthsDescription: To examine the change in immune parameters associated with peanut SLIT and the development of clinical tolerance. Through this objective, the investigators will seek to understand the molecular processes by which SLIT affects the immune system through evaluation of immune mechanisms in relationship to clinical findings of desensitization and tolerance. The investigators will delineate the impact of peanut SLIT on the subsequent cellular and humoral responses to peanut protein. Detection of statistically significant differences will be measured through a two-sample t-test.
Measure: The change in T regulatory cell activation Time: From baseline to 39 monthsDescription: Incidence of all serious adverse events during the study
Measure: Incidence of all serious adverse events during the study Time: From baseline to 39 monthsA phase 2, multicentre, randomized, double-blind, placebo-controlled, parallel group study to evaluate the effect of tezepelumab on airway inflammation in adults with inadequately controlled asthma.
Description: The change from baseline in number of airway submucosal inflammatory cells/mm2 of bronchoscopic biopsies.
Measure: The change from baseline in number of airway submucosal inflammatory cells/mm2 of bronchoscopic biopsies. Time: Baseline, End of Treatment (EoT). The EoT will be performed at Week 28 for the majority of subjects but may be performed at later timepoints for some subjects (Week 32, etc.) due to up to 6 additional doses added during the Covid-19 pandemic.Description: The change in reticular basement membrane (RBM) thickness from baseline, determined by microscopic evaluation of bronchoscopic biopsies
Measure: The change in reticular basement membrane (RBM) thickness from baseline, determined by microscopic evaluation of bronchoscopic biopsies Time: Baseline, End of Treatment (EoT). The EoT will be performed at Week 28 for the majority of subjects but may be performed at later timepoints for some subjects (Week 32, etc.) due to up to 6 additional doses added during the Covid-19 pandemic.Description: The change in % airway epithelial integrity from baseline determined by microscopic evaluation of bronchoscopic biopsies
Measure: The change in % airway epithelial integrity from baseline determined by microscopic evaluation of bronchoscopic biopsies Time: Baseline, End of Treatment (EoT). The EoT will be performed at Week 28 for the majority of subjects but may be performed at later timepoints for some subjects (Week 32, etc.) due to up to 6 additional doses added during the Covid-19 pandemic.Description: The change in number of airway submucosal inflammatory cells per mm2 from baseline, across the spectrum of T2 status, determined by microscopic evaluation of bronchoscopic biopsies
Measure: The change in number of airway submucosal inflammatory cells per mm2 from baseline, across the spectrum of T2 status, determined by microscopic evaluation of bronchoscopic biopsies Time: Baseline, End of Treatment (EoT). The EoT will be performed at Week 28 for the majority of subjects but may be performed at later timepoints for some subjects (Week 32, etc.) due to up to 6 additional doses added during the Covid-19 pandemic.The objective of this study is to administer and validate a disease specific health related quality of life (HRQOL) survey for patients with Chronic Hypersensitivity Pneumonitis (CHP).
Description: The newly developed survey that is being validated consists of 42 items that assess the impact that Hypersensitivity Pneumonitis has on daily life for those who have the disease.
Measure: Validation of a health-related quality of life instrument for patients with Chronic Hypersensitivity Pneumonitis Time: Day 0Description: This survey will be used to assess the validity of the newly developed health-related quality of life instrument. This survey consists of 12 items. The average score for this survey has been calibrated to 50 with scores below 50 indicating a below average score and scores above 50 indicating an above average score.
Measure: Validation of a health-related quality of life instrument for patients with Chronic Hypersensitivity Pneumonitis by administering the Short Form (SF-12) Survey Time: Day 0Description: This survey will be used to assess the validity of the newly developed health-related quality of life instrument. This survey consists of 15 items and is scored from 0-100 with 100 indicating good health.
Measure: Validation of a health-related quality of life instrument for patients with Chronic Hypersensitivity Pneumonitis by administering the King's Brief Interstitial Lung Disease Questionnaire Time: Day 0Description: The newly developed survey will be administered again in 2 weeks following the first assessment.
Measure: Change in Health-related Quality of Life Assessment Score Time: 2 weeks following Day 0The novel Severe acute respiratory syndrome coronavirus 2 (SARS-C0V 2) originated in Wuhan, China in December 2019. As of April 15 2020, the virus has spread across 213 countries/territories with 1,914,916 cases and 123,010 deaths and a crude case fatality ratio (CFR) of 6.4%. In Bangladesh, the situation is also grave. As of May 14, 2020, there were 18,863 cases and 283 deaths. In order to suppress COVID-19 transmission, it is important to diagnose COVID-19 patients, which would help in the process of quarantine and isolation of the patients and also in contact tracing. COVID-19 testing can identify the SARS-CoV-2 virus and includes methods that detect the presence of virus itself such as real time reverse-transcription-polymerase chain reaction (RT-PCR), isothermal nucleic acid amplification, antigen) and those that detect antibodies produced in response to infection. Until now, RT-PCR has been known as the best approach for - detection. It would be very useful if Bangladesh had its own locally produced RT-PCR kits, provided that the kits are no less in quality than imported kits in terms of sensitivity, specificity, price etc. The present study aims to carry out the performance evaluation of RealDetect RT-PCR Kit for COVID-19 detection. The RealDetect™ COVID-19 RT-PCR diagnostic panel is a locally produced real-time RT-PCR test intended for the qualitative detection of nucleic acid from the SARS-CoV-2 in nasopharyngeal swab specimens collected from individuals who meet SARS-CoV-2 clinical criteria. The approach is based on the RT-PCR method which uses two (Nucleocapsid 1, Nucleocapsid 2) sets of gene-specific primers and corresponding fluorescent probes to detect two specific regions within the novel coronavirus (SARS-CoV-2) nucleocapsid protein Nucleocapsid gene. This RT-PCR panel detects SARS-CoV-2 Ribonucleic acid (RNA) specifically. The approach does not generate any false positives to other coronaviruses or human microflora. The kit also contains a primer-probe set which detects human housekeeping gene, ribonuclease Protein (RNase P). That is, the Ribonuclease Protein (RNase P) serves as an internal reference control to monitor sample collection, ribonucleic acid (RNA) extraction, and amplification. This is a case control study. The study will analyze 120 samples (60 COVID-19 positive and 60 COVID-19 negative both fresh and frozen) from Institute of Epidemiology, Disease Control and Research (IEDCR). These specimens will be blinded before handing over to Institute for Developing Science & Health Initiatives (ideSHi) for RealDetect Kit. All samples will be analyzed by Real Time PCR System. Necessary validation will also be carried out at the COVID-19 laboratory of the Dhaka Medical College Hospital and an external validation expert will be involved. The Principal Investigator (PI) will also receive the sample information regarding positive/negative status from Institute for Epidemiology, Disease Control and Research (IEDCR) and compare ideSHi and IEDCR data. Unpaired t-test, Wilcox's test, Rank test, Compare test, Mean test, Sensitivity/Specificity test, Regression analysis and Geometric mean with 95% Confidence Interval (CI) will be used to analyze the data. It needs to conduct a univariate analysis.
Description: Determine Performance evaluation of RealDetect™ COVID-19 RT-PCR kit for the detection of SARS-CoV-2 virus using nasopharyngeal swab specimens collected in the nationwide COVID-19 screening program. RNA extraction from fresh Nasopharyngeal Swab sample in Viral Transport Medium(VTM) of COVID-19 patients from IEDCR (30 positive & 30 negative) Analysis of COVID-19 RNA samples using RT-PCR
Measure: Performance evaluation of RealDetect™ COVID-19 RT-PCR kit Time: 2 monthsDescription: Supply locally manufacturer COVID-19 Reverse transcription polymerase chain reaction (RT-PCR) kit to govt. & private hospitals for diagnosis of COVID-19 patients. RNA extraction from frozen Nasopharyngeal Swab sample in Viral Transport Medium(VTM) of COVID-19 patients from IEDCR (30 positive & 30 negative) Analysis of COVID-19 RNA samples using Reverse transcription polymerase chain reaction (RT-PCR)
Measure: Reduce the price of RT-PCR based COVID-19 diagnostic test kits. Time: 1 monthBrief Summary: This study aims to investigate whether protein fortification of beverages causes mouthdrying and mucoadhesion and whether this is influenced by saliva flow.
Description: Following swallowing of different whey beverage samples (whey protein / whey permeate), volunteers will be asked either to rate samples for mouthdrying or to spit their saliva into a tube at specific timepoints (15s & 60s) with appropriate rest periods. The rating and spitting times will be set within a balanced order protocol.
Measure: Mucoadhesion and Mouthdrying Time: Saliva collection and mouthdrying scoring throughout visits, 2 daysDescription: Perceived mouth drying from whey beverages (whey permeate / whey protein) using data from sensory methods (rating drying as well as discrimination tests "which is the stronger in drying"). Scale for scoring is the gLMS scale (general linear magnitude scale); higher value is worse outcome.
Measure: Mouthdrying from whey beverages Time: 1 day (Sampled at study visit one)Description: Volunteers will be asked to manipulate their saliva flow and consume whey beverages (whey permeate / whey protein) and score perceived mouth drying (data will be collected from sensory methods (rating drying as well as discrimination tests "which is the stronger in drying")
Measure: Manipulating saliva flow and mouthdrying from whey beverages Time: 1 day (Sampled at study visit one)Description: Salivary flow rates from unstimulated and stimulated saliva samples.
Measure: Saliva collection Time: 1 day (Sampled at study visit two)Alphabetical listing of all HPO terms. Navigate: Correlations Clinical Trials
Data processed on September 26, 2020.
An HTML report was created for each of the unique drugs, MeSH, and HPO terms associated with COVID-19 clinical trials. Each report contains a list of either the drug, the MeSH terms, or the HPO terms. All of the terms in a category are displayed on the left-hand side of the report to enable easy navigation, and the reports contain a list of correlated drugs, MeSH, and HPO terms. Further, all reports contain the details of the clinical trials in which the term is referenced. Every clinical trial report shows the mapped HPO and MeSH terms, which are also hyperlinked. Related HPO terms, with their associated genes, protein mutations, and SNPs are also referenced in the report.
Drug Reports MeSH Reports HPO Reports