- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03269474
Computational Drug Repurposing for All EBS Cases
February 11, 2024 updated by: Joyce Teng
Computational Drug Repurposing for All Epidermolysis Bullosa Simplex (EBS) Cases
The study will compare gene expression differences between blistered and non-blistered skin from individuals with all subtypes of EB, as well as normal skin from non-EB subjects.
State of the art computational analysis will be performed to help identify new drugs that might help all EB wound healing and reduce pain.
Researchers will focus on drugs that have already been approved for treatment of other dermatologic or non-dermatologic diseases, and therefore be repurposed for treatment of EB.
Drug development is a very expensive process taking decades for execution.
Drug repurposing on the other hand, significantly reduces the cost and shortens the amount of time that is needed to bring effective treatments to clinical use.
To date, there is no specific treatment targeting the physiology and immunologic response in EB patients during wound healing.
Market availability of repurposed medications will provide all EB patients rapid access to treatments, thus improving their quality of life.
Study Overview
Status
Recruiting
Conditions
Intervention / Treatment
Detailed Description
Although gene, cell, and protein-based therapies are in development for patients suffering from all subtypes of epidermolysis bullosa (EB), new pharmacological treatments are in dire need.
Characterizing molecular changes in EB, including gene expression, can identify new therapeutic targets and drugs that modulate those targets.
However, sifting through gene expression information to identify the most promising drug targets is a complex data challenge.
The goal of the study will identify a computational approach to evaluate and identify existing drugs approved for other diseases that can be repurposed for EB patients.
The study will perform an unprecedented characterization of gene expression changes in EB patients compared to healthy, non-EB individuals across multiple tissues.
Using a validated computational drug discovery platform, researchers will analyze gene expression and drug data using unique algorithms.
In the first year, a list of ten, safety drugs more probable to treat the EB disease state will be identified.
The most promising drugs discovered will then be tested in the clinic setting.
Study Type
Observational
Enrollment (Estimated)
60
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Monica Martin
- Phone Number: 650-723-0636
- Email: momartin@stanford.edu
Study Locations
-
-
California
-
Palo Alto, California, United States, 94304
- Recruiting
- Pediatric Dermatology Clinic at Stanford Children's Hospital
-
Principal Investigator:
- Joyce M Teng, MD, PhD
-
Contact:
- Monica Martin
- Phone Number: 650-723-0636
- Email: PediatricDermStudy@stanford.edu
-
Contact:
- Elidia V Tafoya, MPH
- Phone Number: 650-724-1982
- Email: PediatricDermStudy@stanford.edu
-
Sub-Investigator:
- Kavita Sarin, MD, PhD
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
1 year and older (Child, Adult, Older Adult)
Accepts Healthy Volunteers
Yes
Sampling Method
Probability Sample
Study Population
Subject of all ages with either 1) a diagnosis of EB subjects or 2) healthy, non-EB subjects
Description
Inclusion Criteria:
- Subjects of all ages
- Diagnosis of all subtypes of EB subjects
- Healthy, non-EB subjects
- Ability to complete study visit to collect tissue and blood specimen
Exclusion Criteria:
- Pregnancy, breast feeding
- Prior history of liver disease
- Serious known concurrent medical illness or infection, which could potentially present a safety risk and/or prevent tissue collection from subjects
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
Experimental Group
Blood and tissue specimen will be collected from subjects with an EB diagnosis.
Tissue specimen will be collected from blistered and nonblistered skin.
|
Subjects with EB diagnosis
|
Control Group
Blood and tissue specimen will be collected from healthy subjects with non-EB.
Tissue specimen will be collected from an inconspicuous skin area.
|
Subjects with EB diagnosis
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Characterize gene expression changes in EB using RNA sequencing (RNA-seq) and Computational Profiling Potential Drug Targets
Time Frame: Through the completion of study in 1 year.
|
Using bioinformatic algorithms to identify changes in gene expression and review of over 2000 FDA-approved drugs based on predicted modulation of gene expression changes using a computational evolutionary algorithm system.
|
Through the completion of study in 1 year.
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Principal Investigator: Joyce M Teng, MD, PhD, Stanford University
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- McLaren PJ, Mayne M, Rosser S, Moffatt T, Becker KG, Plummer FA, Fowke KR. Antigen-specific gene expression profiles of peripheral blood mononuclear cells do not reflect those of T-lymphocyte subsets. Clin Diagn Lab Immunol. 2004 Sep;11(5):977-82. doi: 10.1128/CDLI.11.5.977-982.2004.
- Sleasman JW, Leon BH, Aleixo LF, Rojas M, Goodenow MM. Immunomagnetic selection of purified monocyte and lymphocyte populations from peripheral blood mononuclear cells following cryopreservation. Clin Diagn Lab Immunol. 1997 Nov;4(6):653-8. doi: 10.1128/cdli.4.6.653-658.1997.
- Bray NL, Pimentel H, Melsted P, Pachter L. Near-optimal probabilistic RNA-seq quantification. Nat Biotechnol. 2016 May;34(5):525-7. doi: 10.1038/nbt.3519. Epub 2016 Apr 4. Erratum In: Nat Biotechnol. 2016 Aug 9;34(8):888.
- Robinson MD, McCarthy DJ, Smyth GK. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics. 2010 Jan 1;26(1):139-40. doi: 10.1093/bioinformatics/btp616. Epub 2009 Nov 11.
- Law V, Knox C, Djoumbou Y, Jewison T, Guo AC, Liu Y, Maciejewski A, Arndt D, Wilson M, Neveu V, Tang A, Gabriel G, Ly C, Adamjee S, Dame ZT, Han B, Zhou Y, Wishart DS. DrugBank 4.0: shedding new light on drug metabolism. Nucleic Acids Res. 2014 Jan;42(Database issue):D1091-7. doi: 10.1093/nar/gkt1068. Epub 2013 Nov 6.
- Sugaya N, Kanai S, Furuya T. Dr. PIAS 2.0: an update of a database of predicted druggable protein-protein interactions. Database (Oxford). 2012 Oct 10;2012:bas034. doi: 10.1093/database/bas034. Print 2012.
- Subramanian A, Kuehn H, Gould J, Tamayo P, Mesirov JP. GSEA-P: a desktop application for Gene Set Enrichment Analysis. Bioinformatics. 2007 Dec 1;23(23):3251-3. doi: 10.1093/bioinformatics/btm369. Epub 2007 Jul 20.
- Cohn HI, Teng JM. Advancement in management of epidermolysis bullosa. Curr Opin Pediatr. 2016 Aug;28(4):507-16. doi: 10.1097/MOP.0000000000000380.
- Uitto J, Bruckner-Tuderman L, Christiano AM, McGrath JA, Has C, South AP, Kopelan B, Robinson EC. Progress toward Treatment and Cure of Epidermolysis Bullosa: Summary of the DEBRA International Research Symposium EB2015. J Invest Dermatol. 2016 Feb;136(2):352-358. doi: 10.1016/j.jid.2015.10.050.
- Nystrom A, Thriene K, Mittapalli V, Kern JS, Kiritsi D, Dengjel J, Bruckner-Tuderman L. Losartan ameliorates dystrophic epidermolysis bullosa and uncovers new disease mechanisms. EMBO Mol Med. 2015 Sep;7(9):1211-28. doi: 10.15252/emmm.201505061.
- Wally V, Kitzmueller S, Lagler F, Moder A, Hitzl W, Wolkersdorfer M, Hofbauer P, Felder TK, Dornauer M, Diem A, Eiler N, Bauer JW. Topical diacerein for epidermolysis bullosa: a randomized controlled pilot study. Orphanet J Rare Dis. 2013 May 7;8:69. doi: 10.1186/1750-1172-8-69.
- Li J, Zheng S, Chen B, Butte AJ, Swamidass SJ, Lu Z. A survey of current trends in computational drug repositioning. Brief Bioinform. 2016 Jan;17(1):2-12. doi: 10.1093/bib/bbv020. Epub 2015 Mar 31.
- Low YS, Daugherty AC, Schroeder EA, Chen W, Seto T, Weber S, Lim M, Hastie T, Mathur M, Desai M, Farrington C, Radin AA, Sirota M, Kenkare P, Thompson CA, Yu PP, Gomez SL, Sledge GW Jr, Kurian AW, Shah NH. Synergistic drug combinations from electronic health records and gene expression. J Am Med Inform Assoc. 2017 May 1;24(3):565-576. doi: 10.1093/jamia/ocw161.
- Bchetnia M, Tremblay ML, Leclerc G, Duperee A, Powell J, McCuaig C, Morin C, Legendre-Guillemin V, Laprise C. Expression signature of epidermolysis bullosa simplex. Hum Genet. 2012 Mar;131(3):393-406. doi: 10.1007/s00439-011-1077-7. Epub 2011 Aug 30.
- Roth W, Reuter U, Wohlenberg C, Bruckner-Tuderman L, Magin TM. Cytokines as genetic modifiers in K5-/- mice and in human epidermolysis bullosa simplex. Hum Mutat. 2009 May;30(5):832-41. doi: 10.1002/humu.20981.
- Lee B, Geyfman M, Andersen B, Dai X. Analysis of gene expression in skin using laser capture microdissection. Methods Mol Biol. 2013;989:109-17. doi: 10.1007/978-1-62703-330-5_10.
- Lovendorf MB, Mitsui H, Zibert JR, Ropke MA, Hafner M, Dyring-Andersen B, Bonefeld CM, Krueger JG, Skov L. Laser capture microdissection followed by next-generation sequencing identifies disease-related microRNAs in psoriatic skin that reflect systemic microRNA changes in psoriasis. Exp Dermatol. 2015 Mar;24(3):187-93. doi: 10.1111/exd.12604.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
November 28, 2017
Primary Completion (Estimated)
December 30, 2024
Study Completion (Estimated)
December 31, 2024
Study Registration Dates
First Submitted
August 21, 2017
First Submitted That Met QC Criteria
August 30, 2017
First Posted (Actual)
August 31, 2017
Study Record Updates
Last Update Posted (Estimated)
February 13, 2024
Last Update Submitted That Met QC Criteria
February 11, 2024
Last Verified
February 1, 2024
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Congenital Abnormalities
- Genetic Diseases, Inborn
- Connective Tissue Diseases
- Skin Diseases, Vesiculobullous
- Skin Abnormalities
- Collagen Diseases
- Skin Diseases
- Skin Diseases, Genetic
- Epidermolysis Bullosa
- Epidermolysis Bullosa Dystrophica
- Epidermolysis Bullosa Simplex
- Epidermolysis Bullosa, Junctional
Other Study ID Numbers
- 41142
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
IPD Plan Description
As of now, there are no plans to share the data with other researchers.
Once the outcome measures have been accomplished, the research team will publish results for the entire clinicaltrials.gov
community and researchers for this vulnerable population study.
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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