Trial · NCT02152553
Biomarker(s) for Glucocorticoids
NCT02152553, Not applicable, Completed, Vastra Gotaland Region
3 sourcestrials-2026-11-12-0.5.0
Cite this record
ConductScience Library. Biomarker(s) for Glucocorticoids. Trials, record NCT02152553. Release trials-2026-11-12-0.5.0, 12 Nov 2026. https://conductscience.org/library/trials/NCT02152553
On this page
Trial
As registered on ClinicalTrials.gov, in the graph's capture of the registry.
- Title
- Biomarker(s) for Glucocorticoids
- NCT number
- NCT02152553
- Status
- Completed
- Phases
- Not applicable
- Enrollment
- 11 participants, actual
- Lead sponsor
- Vastra Gotaland Region
- Conditions
- Addison Disease
- Interventions
- Hydrocortisone, Placebo
- First posted
- 2014-06-02
- Last updated
- 2021-04-12
Source ClinicalTrials.gov
Registered outcomes3
Each outcome the trial registered, primary first, in ClinicalTrials.gov's words.
| List | Outcome | Time frame | Description |
|---|---|---|---|
| Primary | Protein profile changes between a state of GC starvation and near physiological GC exposure. | Changes in proteome (g/dl or umol/l) during 24 hours under two different states of GC exposure. | Using mass spectrometry, protein profile changes in blood, urine and adipose tissue are going to be identified between four points of time during two states: morning and midnight during near physiological GC exposure (sampling 1 and 2), morning and midnight during GC starvation (sampling 3 and 4). Quantitative measurements of all proteins will be used in the bioinformatic analysis. The bioinformatics strategic consists of a stepwise approach based on random forest analysis. Key features in the analysis include finding candidate markers that are increased during normal GC exposure (sampling 1 and 2), reduced during GC starvation (sampling 3 and 4) and exclusion of factors with high variability within normal subjects. Putative biomarkers will go through two levels of internal cross-validation. The investigators would like that this part of the project is not going to be public. |
| Primary | Metabolite profile changes between a state of GC starvation and near physiological GC exposure. | Changes in metabolome (units depending on the kind of metabolome) during 24 hours under two different states of GC exposure. | Using mass spectrometry, metabolite profile changes in blood, urine and adipose tissue are going to be identified between four points of time during two states: morning and midnight during near physiological GC exposure (sampling 1 and 2), morning and midnight during GC starvation (sampling 3 and 4). Quantitative measurements of all metabolites will be used in the bioinformatic analysis. The bioinformatics strategic consists of a stepwise approach based on random forest analysis. Key features in the analysis include finding candidate markers that are increased during normal GC exposure (sampling 1 and 2), reduced during GC starvation (sampling 3 and 4) and exclusion of factors with high variability within normal subjects. Putative biomarkers will go through two levels of internal cross-validation. The investigators would like that this part of the project is not going to be public. |
| Secondary | mRNA/miRNA profile changes between a state of GC starvation and near physiological GC exposure. | Changes in mRNA/miRNA (Svedberg Unit, S) during 24 hours under two different states of GC exposure. | Using array based transcriptomics (both mRNA \& miRNA), mRNA/miRNA profile changes in blood, urine and adipose tissue are going to be identified between four points of time during two states: morning and midnight during near physiological GC exposure (sampling 1 and 2), morning and midnight during GC starvation (sampling 3 and 4). Quantitative measurements of all mRNA/miRNA´s will be used in the bioinformatic analysis. The bioinformatics strategic consists of a stepwise approach based on random forest analysis. Key features in the analysis include finding candidate markers that are increased during normal GC exposure (sampling 1 and 2), reduced during GC starvation (sampling 3 and 4) and exclusion of factors with high variability within normal subjects. Putative biomarkers will go through two levels of internal cross-validation. The investigators would like that this part of the project is not going to be public. |
Source ClinicalTrials.gov
Outcomes0
Each outcome the trial posted results for, in ClinicalTrials.gov's words.
None in this release.
Results by group0
Each measurement the trial posted, group by group, in the words and numbers it posted.
None in this release.
Participant flow0
How many started, completed or left each group, period by period.
None in this release.
Adverse events0
Each adverse event the trial posted, group by group: the participants affected out of those at risk.
None in this release.
Adverse event totals0
The totals the trial posted for each group.
None in this release.
Papers2
The papers the trial lists on ClinicalTrials.gov.
Grants0
The grants NIH RePORTER links to the trial, newest funded first: NIH's, and some of AHRQ's, CDC's, FDA's and VA's. Each shows its title, principal investigators, organization and funder in its newest year.
None in this release.
Trial comparisons0
Comparisons of the trial's two groups, calculated by ConductScience from the counts it posted.
None in this release.
Tests0
The ConductCognition tests this trial's registered outcomes name, as ScienceGraph matched them in trial-tests-2026-11-12-0.2.1.
None in this release.
Data dates
The day each source was copied for this release.
Sources 3
- ClinicalTrials.gov's posted results, through CTTI's AACTFreely available. Acknowledgement requested
- ClinicalTrials.govNo license stated
- NIH RePORTER's clinical studies and project filesPublic domain
Each source's terms
- ClinicalTrials.gov's posted results, through CTTI's AACTClinicalTrials.gov data via Aggregate Analysis of ClinicalTrials.gov (AACT), CTTI. CTTI makes its materials freely available and requests acknowledgement. https://aact.ctti-clinicaltrials.org/documentation/299
- ClinicalTrials.govnone stated
- NIH RePORTER's clinical studies and project filesPublic domain (NIH RePORTER)
ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.
For software
Read this trial from software.
The record and each of its lists are JSON, twenty rows a page. No key.
GET https://conductscience.org/api/trials/v1/NCT02152553
GET https://conductscience.org/api/trials/v1/NCT02152553/registered