Normal Physiology
Conditions
Keywords
Methylprednisolone, Immunologic, Glucocorticoids, Functional genomics, RNA, Steroids
Brief summary
Background: The immune system defends the body against bacteria and other harmful invaders. But it can overact and attack healthy cells by mistake. The group of drugs called glucocorticoids (GCs) can calm down an overactive immune system. But they often cause negative side effects. Researchers want to learn how human genes respond to GCs. Genes live inside each cell of the body. They tell our cells how to function. Researchers hope the results of this study will show them how to develop better drugs that will have the benefits of GCs without the side effects. Objectives: To study how human genes respond to glucocorticoid drugs. Eligibility: Healthy adult volunteers ages 18-64. Design: Participants will be screened with a medical history and physical exam. They will have a heart test and blood tests. The study visit will last about 6 hours. Participants will have medical history, physical exam, and 3 blood draws. Participants will have a skin biopsy. An injection will numb the skin on one arm. Then a tool will remove a piece of skin about as big as a pencil eraser. A GC cream will be applied to the other arm. Participants will get the GC study drug for 30 minutes. It will be a liquid that will drip through a needle placed in an arm vein. Participants will have a skin biopsy of the arm that had the cream applied. Participants will have follow-up calls 1 and 4 days later. They will be asked about reactions or other health problems.
Detailed description
Glucocorticoids are among the most frequently prescribed immunosuppressive and anti-inflammatory medications worldwide. Long-term use, however, is complicated by serious non-immunologic side effects. Ongoing in vitro experiments with human primary cells in our laboratory suggest that there are indeed fundamental differences in the genomic response of immune and non-immune cells to glucocorticoids. These and other aspects of drug action at the genomic level have not been completely characterized. This study will attempt to generate a list of human genes and non-coding RNAs that are differentially expressed and regulated in response to glucocorticoids between immune and non-immune cells. These data will be used to identify transcripts, their corresponding proteins, and the molecular pathways that are best candidates for targeted intervention. Potential targets could be validated with small interfering RNA (siRNA) libraries, with the long-term goal of developing small-molecule or nanoparticle-facilitated RNA interference (RNAi) interventions that reproduce the therapeutic action of glucocorticoids in immune cells while avoiding their harmful side effects on other tissues. Healthy volunteers will undergo baseline blood collection prior to receiving a single intravenous dose of 250 milligrams of methylprednisolone sodium succinate. Blood will be collected in one of two regimens: 1 and 2 hours or 2 and 4 hours after the start of the infusion. A skin punch biopsy may be obtained before healthy volunteers receive IV methylprednisolone. If so, topical methylprednisolone will be applied to a limited area of skin, contralateral to the site of the baseline skin biopsy, and an additional skin biopsy will be obtained 4 hours after drug administration, from the area where topical methylprednisolone was applied. Follow-up phone calls 1 day and 1 week after discharge will document any adverse effects related to the drug or skin biopsy. Total length of individual study participation is 1-5 weeks. Blood samples will be processed for isolation of hematopoietic cell sub-population (neutrophils, B cells, CD4+ T cells, CD8+ T cells, monocytes, and natural killer \[NK\] cells). Laboratory studies will be performed in the purified cells, with the goal of understanding the human response to glucocorticoids in vivo at the level of RNA (e.g., RNA sequencing, small -RNA-sequencing, real-time PCR), DNA (e.g., ChIP-seq, methylation analysis, DNA sequencing, genotyping, and protein (e.g., flow cytometry, mass spectrometry). At each time point, serum methylprednisolone levels will be measured and flow cytometry for standard lineage markers will be performed. Skin biopsies will be subjected to RNA isolation for RNA sequencing and small-RNA sequencing. A fragment of each skin biopsy will undergo fibroblast isolation and culture for in vitro exposure to glucocorticoids and for the generation of induced pluripotent stem (iPS) cells.
Interventions
Methylprednisolone sodium succinate for injection, USP (SOLU-MEDROL sterile powder, Pfizer, Inc.) is an anti-inflammatory glucocorticoid which occurs as a white, or nearly white, odorless hygroscopic, amorphous solid. It is very soluble in water and in alcohol; it is insoluble in chloroform and is very slightly soluble in acetone. 125-milligram Act-O-Vial (AOV) System: Each 2 mL AOV (when mixed) contains methylprednisolone sodium succinate equivalent to 125 milligrams methylprednisolone; also 1.6 mg monobasic sodium phosphate anhydrous; and 17.4 mg dibasic sodium phosphate dried.
1 g Advantan emulsion 0.1% (Bayer) contains methylprednisolone aceponate (21-acetoxy-11beta-hydroxy-6alpha-methyl-17-propionyloxy-1,4-pregnadiene-3,20-dione) 1 mg, as the active ingredient. It is an oil-in-water emulsion containing medium chain triglycerides, caprylic-capric-stearic triglyceride, polyoxyethylene alcohol 2-stearyl ether, polyoxyethylene alcohol-21-stearyl ether, benzyl alcohol, disodium edetate, glycerol, and purified water.
Sponsors
Study design
Eligibility
Inclusion criteria
* INCLUSION CRITERIA: 1. Age 18 to 64 years 2. Willingness to have samples stored for future research 3. Willingness to undergo genetic testing
Exclusion criteria
1. Body Mass Index less than 18 or greater than 35 2. Difficult peripheral venous access (as determined by study staff at screening) 3. History of severe allergic reaction to glucocorticoids 4. History of autoimmune or autoinflammatory disease 5. Active solid or hematologic malignancy 6. History of a skin condition (such as psoriasis, pemphigus, or atopic dermatitis) that could affect the results of the transcriptional analysis of the skin biopsy samples 7. Diabetes mellitus 8. Cancer chemotherapy within the past 5 years 9. Surgery within the past 8 weeks 10. History of recent (within the past 30 days) infection 11. A positive test for human immunodeficiency virus, or hepatitis A, B or C virus infection (viral markers hepatitis screen, which includes HBsAg, anti-HCV IgG, anti-HAV IgM). 12. A positive or indeterminate test for latent tuberculosis (interferon gamma release assay) 13. History of parasitic, amebic, fungal or mycobacterial infections, or other possible latent infections 14. Coagulation test (PT and PTT) results outside of normal range 15. History of a bleeding disorder 16. Use of a glucocorticoid (including topical or inhaled), a nonsteroidal anti-inflammatory drug (including aspirin), an anti-epileptic drug, an anticoagulant, a statin, fluoxetine, diltiazem, amiodarone, clarithromycin, ketoconazole, or St. John s wort, within the past 30 days 17. Vaccination within the past 30 days 18. Receipt of an immunosuppressant or immunomodulatory drug within the past 30 days 19. Pregnancy, current or within the past 90 days, or trying to become pregnant during the study 20. Current breastfeeding 21. Complete blood count (CBC) and/or acute care panel values are both outside of the NIH Department of Laboratory Medicine normal reference range and deemed clinically significant by the principal investigator 22. Any Electrocardiogram (ECG) abnormality that is clinically significant 23. Any condition that, in the investigator s opinion, may put the participant at undue risk or compromise the study s scientific objectives 24. Participation in a clinical protocol which includes an intervention that, in the opinion of the investigator, may affect the results of the current study
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Number of Participants Sampled for RNA-seq Differential Expression Analysis (Biological Replicates) | Up to 2 or 4 hours post infusion depending on group | Number of participants (biological replicates) that were successfully sampled for RNA-seq differential gene expression analysis in glucocorticoid-treated immune cells. The analysis employed a cutoff value of \< 5% false-discovery rate (FDR) to select the transcripts that were considered differentially expressed at each time point. The resulting gene lists were contrasted to determine which genes were uniquely differentially expressed in different cell types. |
Countries
United States
Participant flow
Pre-assignment details
Of the 33 subjects who consented to the protocol, eight subjects were screen failure and 25 unique subjects participated in the study. One subject participated in both arms of the study
Participants by arm
| Arm | Count |
|---|---|
| Up to 2 Hours Post Infusion Healthy volunteers received a single intravenous dose of 250 mg of methylprednisolone and blood was collected between one to two hours after the start of the infusion. | 4 |
| Up to 4 Hours Post Infusion Healthy volunteers received a single intravenous dose of 250 mg of methylprednisolone and blood was collected between two hours to four hours after the start of the infusion. | 21 |
| Total | 25 |
Baseline characteristics
| Characteristic | Up to 2 Hours Post Infusion | Up to 4 Hours Post Infusion | Total |
|---|---|---|---|
| Age, Categorical <=18 years | 0 Participants | 0 Participants | 0 Participants |
| Age, Categorical >=65 years | 0 Participants | 0 Participants | 0 Participants |
| Age, Categorical Between 18 and 65 years | 4 Participants | 21 Participants | 25 Participants |
| Ethnicity (NIH/OMB) Hispanic or Latino | 0 Participants | 4 Participants | 4 Participants |
| Ethnicity (NIH/OMB) Not Hispanic or Latino | 3 Participants | 17 Participants | 20 Participants |
| Ethnicity (NIH/OMB) Unknown or Not Reported | 1 Participants | 0 Participants | 1 Participants |
| Race (NIH/OMB) American Indian or Alaska Native | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) Asian | 0 Participants | 1 Participants | 1 Participants |
| Race (NIH/OMB) Black or African American | 0 Participants | 4 Participants | 4 Participants |
| Race (NIH/OMB) More than one race | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) Native Hawaiian or Other Pacific Islander | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) Unknown or Not Reported | 1 Participants | 3 Participants | 4 Participants |
| Race (NIH/OMB) White | 3 Participants | 13 Participants | 16 Participants |
| Sex: Female, Male Female | 2 Participants | 10 Participants | 12 Participants |
| Sex: Female, Male Male | 2 Participants | 11 Participants | 13 Participants |
Adverse events
| Event type | EG000 affected / at risk | EG001 affected / at risk |
|---|---|---|
| deaths Total, all-cause mortality | 0 / 5 | 0 / 21 |
| other Total, other adverse events | 2 / 5 | 16 / 21 |
| serious Total, serious adverse events | 0 / 5 | 0 / 21 |
Outcome results
Number of Participants Sampled for RNA-seq Differential Expression Analysis (Biological Replicates)
Number of participants (biological replicates) that were successfully sampled for RNA-seq differential gene expression analysis in glucocorticoid-treated immune cells. The analysis employed a cutoff value of \< 5% false-discovery rate (FDR) to select the transcripts that were considered differentially expressed at each time point. The resulting gene lists were contrasted to determine which genes were uniquely differentially expressed in different cell types.
Time frame: Up to 2 or 4 hours post infusion depending on group
Population: Participants who completed the study
| Arm | Measure | Value (COUNT_OF_PARTICIPANTS) |
|---|---|---|
| Up to 2 Hours Post Infusion | Number of Participants Sampled for RNA-seq Differential Expression Analysis (Biological Replicates) | 5 Participants |
| Up to 4 Hours Post Infusion | Number of Participants Sampled for RNA-seq Differential Expression Analysis (Biological Replicates) | 20 Participants |