search
Back to results

Biomarker(s) for Glucocorticoids (BIOCORT)

Primary Purpose

Addison Disease

Status
Completed
Phase
Not Applicable
Locations
Sweden
Study Type
Interventional
Intervention
Hydrocortisone
Placebo
Sponsored by
Vastra Gotaland Region
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional treatment trial for Addison Disease focused on measuring Biomarker, Glucocorticoids, Metabolism, Pharmacology, Metabolomics

Eligibility Criteria

20 Years - 60 Years (Adult)All SexesDoes not accept healthy volunteers

Inclusion Criteria:

  • Primary adrenal insufficiency under stable glucocorticoid replacement therapy (15-30 mg of Hydrocortisone stable dose the last 3 months) due to autoimmune adrenalitis (disease diagnosed at least 12 months before inclusion), age 20-60 years, BMI 20-30 kg/m2, and ability to comply with the protocol procedures.

Exclusion Criteria:

  • Glucocorticoid replacement therapy for indication other than primary adrenal treatment, any treatment with sex hormones inclusive contraceptive drugs, treatment with levothyroxine, diabetes mellitus, renal or liver failure, significant and symptomatic cardiovascular disease.

Sites / Locations

  • Sahlgrenska University Hospital

Arms of the Study

Arm 1

Arm 2

Arm Type

Active Comparator

Placebo Comparator

Arm Label

Hydrocortisone

Placebo

Arm Description

Near-physiologic doses of Hydrocortisone are being given to subjects. The first day between 09.00 and 12.00 0,024 mg Hydrocortisone/kg per hour. The first day between 12.00 and 20.00 0,012 mg Hydrocortisone/kg per hour. The first day between 20.00 and 24.00 0,008 mg Hydrocortisone/kg per hour. The second day between 00.00 and 11.00 0,030 mg Hydrocortisone/kg per hour. Hydrocortisone infusion: 0,4 ml Solu Cortef 100 mg (50 mg/ml) added in 999,6 ml sodium chloride 0,9% solution (1 mg Solu Cortef/ 50 ml total solution volume).

The same volume of sodium chloride 0,9% as in the other arm where Hydrocortisone is given in saline 0,9% solution. The given volume of sodium chloride will variate chronically as in Hydrocortisone arm.

Outcomes

Primary Outcome Measures

Protein profile changes between a state of GC starvation and near physiological 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.
Metabolite profile changes between a state of GC starvation and near physiological 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 Outcome Measures

mRNA/miRNA profile changes between a state of GC starvation and near physiological 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.

Full Information

First Posted
May 12, 2014
Last Updated
April 7, 2021
Sponsor
Vastra Gotaland Region
search

1. Study Identification

Unique Protocol Identification Number
NCT02152553
Brief Title
Biomarker(s) for Glucocorticoids
Acronym
BIOCORT
Official Title
Protein/Metabolite Biomarker(s) for Glucocorticoid Action; an Experimental Trial in Patients With Adrenal Insufficiency
Study Type
Interventional

2. Study Status

Record Verification Date
April 2021
Overall Recruitment Status
Completed
Study Start Date
May 2014 (undefined)
Primary Completion Date
December 2016 (Actual)
Study Completion Date
December 2016 (Actual)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Sponsor
Name of the Sponsor
Vastra Gotaland Region

4. Oversight

Data Monitoring Committee
No

5. Study Description

Brief Summary
The investigators have shown that patients with adrenal insufficiency (Addison's disease), a rare disorder, have doubled the expected mortality rate in Sweden despite Standard of Care glucocorticoid (GC) replacement. One % of the Swedish population are, however, receiving GCs for inflammatory diseases, but management is empirical and adjusted to underlying disease activity. The desired anti-inflammatory therapeutic effects cannot be differentiated from the adverse metabolic (osteoporosis, obesity, diabetes mellitus) and immunosuppressive side effects of GC. This frequently results in suboptimal GC therapy with adverse effects due to over-dosing or poor efficacy due to under-dosing. The primary aim is to identify a biomarker for the metabolic effects of GCs. Patients with Addison's disease completely lack endogenous GCs and can therefore be considered a human GC knock-out model. They can therefore be studied during near-physiological exposure and during GC starvation. This will uniquely allow a very clean biomarker identification model (using transcriptomics, proteomics and metabolomics). The secondary aim is to validate candidate biomarker(s) in a dose-response study using the same patient population. A biomarker of GC actions will make it possible to individualised therapy during pharmacological GC treatment. It would allow GC replacement to be monitored in Addison's disease and could become a specific diagnostic tool in patients with GC deficiency and excess (Cushings syndrome).

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Addison Disease
Keywords
Biomarker, Glucocorticoids, Metabolism, Pharmacology, Metabolomics

7. Study Design

Primary Purpose
Treatment
Study Phase
Not Applicable
Interventional Study Model
Crossover Assignment
Masking
Participant
Allocation
Randomized
Enrollment
11 (Actual)

8. Arms, Groups, and Interventions

Arm Title
Hydrocortisone
Arm Type
Active Comparator
Arm Description
Near-physiologic doses of Hydrocortisone are being given to subjects. The first day between 09.00 and 12.00 0,024 mg Hydrocortisone/kg per hour. The first day between 12.00 and 20.00 0,012 mg Hydrocortisone/kg per hour. The first day between 20.00 and 24.00 0,008 mg Hydrocortisone/kg per hour. The second day between 00.00 and 11.00 0,030 mg Hydrocortisone/kg per hour. Hydrocortisone infusion: 0,4 ml Solu Cortef 100 mg (50 mg/ml) added in 999,6 ml sodium chloride 0,9% solution (1 mg Solu Cortef/ 50 ml total solution volume).
Arm Title
Placebo
Arm Type
Placebo Comparator
Arm Description
The same volume of sodium chloride 0,9% as in the other arm where Hydrocortisone is given in saline 0,9% solution. The given volume of sodium chloride will variate chronically as in Hydrocortisone arm.
Intervention Type
Drug
Intervention Name(s)
Hydrocortisone
Other Intervention Name(s)
SoluCortef®
Intervention Type
Drug
Intervention Name(s)
Placebo
Other Intervention Name(s)
Sodium chloride 0,9%
Primary Outcome Measure Information:
Title
Protein profile changes between a state of GC starvation and near physiological GC exposure.
Description
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.
Time Frame
Changes in proteome (g/dl or umol/l) during 24 hours under two different states of GC exposure.
Title
Metabolite profile changes between a state of GC starvation and near physiological GC exposure.
Description
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.
Time Frame
Changes in metabolome (units depending on the kind of metabolome) during 24 hours under two different states of GC exposure.
Secondary Outcome Measure Information:
Title
mRNA/miRNA profile changes between a state of GC starvation and near physiological GC exposure.
Description
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.
Time Frame
Changes in mRNA/miRNA (Svedberg Unit, S) during 24 hours under two different states of GC exposure.

10. Eligibility

Sex
All
Minimum Age & Unit of Time
20 Years
Maximum Age & Unit of Time
60 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion Criteria: Primary adrenal insufficiency under stable glucocorticoid replacement therapy (15-30 mg of Hydrocortisone stable dose the last 3 months) due to autoimmune adrenalitis (disease diagnosed at least 12 months before inclusion), age 20-60 years, BMI 20-30 kg/m2, and ability to comply with the protocol procedures. Exclusion Criteria: Glucocorticoid replacement therapy for indication other than primary adrenal treatment, any treatment with sex hormones inclusive contraceptive drugs, treatment with levothyroxine, diabetes mellitus, renal or liver failure, significant and symptomatic cardiovascular disease.
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Gudmundur Johannsson, Professor
Organizational Affiliation
Vastra Gotaland Region, Sahlgrenska University Hospital
Official's Role
Principal Investigator
Facility Information:
Facility Name
Sahlgrenska University Hospital
City
Gothenburg
State/Province
Vastra Gotaland Region
ZIP/Postal Code
413 45
Country
Sweden

12. IPD Sharing Statement

Plan to Share IPD
Undecided
Citations:
PubMed Identifier
33821793
Citation
Chantzichristos D, Svensson PA, Garner T, Glad CA, Walker BR, Bergthorsdottir R, Ragnarsson O, Trimpou P, Stimson RH, Borresen SW, Feldt-Rasmussen U, Jansson PA, Skrtic S, Stevens A, Johannsson G. Identification of human glucocorticoid response markers using integrated multi-omic analysis from a randomized crossover trial. Elife. 2021 Apr 6;10:e62236. doi: 10.7554/eLife.62236.
Results Reference
result
PubMed Identifier
31853550
Citation
Melvin A, Chantzichristos D, Kyle CJ, Mackenzie SD, Walker BR, Johannsson G, Stimson RH, O'Rahilly S. GDF15 Is Elevated in Conditions of Glucocorticoid Deficiency and Is Modulated by Glucocorticoid Replacement. J Clin Endocrinol Metab. 2020 May 1;105(5):1427-34. doi: 10.1210/clinem/dgz277.
Results Reference
result

Learn more about this trial

Biomarker(s) for Glucocorticoids

We'll reach out to this number within 24 hrs