Computational Drug Repurposing for All EBS Cases

NCT ID: NCT03269474

Last Updated: 2024-02-13

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

60 participants

Study Classification

OBSERVATIONAL

Study Start Date

2017-11-28

Study Completion Date

2024-12-31

Brief Summary

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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.

Detailed Description

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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.

Conditions

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Epidermolysis Bullosa Healthy Genetic Skin Disease Epidermolysis Bullosa Simplex Epidermolysis Bullosa, Junctional Epidermolysis Bullosa Dystrophica

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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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.

Experimental Group

Intervention Type PROCEDURE

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.

Experimental Group

Intervention Type PROCEDURE

Subjects with EB diagnosis

Interventions

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Experimental Group

Subjects with EB diagnosis

Intervention Type PROCEDURE

Eligibility Criteria

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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
Minimum Eligible Age

0 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Joyce Teng

OTHER

Sponsor Role lead

Responsible Party

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Joyce Teng

Director of Pediatric Dermatology

Responsibility Role SPONSOR_INVESTIGATOR

Principal Investigators

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Joyce M Teng, MD, PhD

Role: PRINCIPAL_INVESTIGATOR

Stanford University

Locations

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Pediatric Dermatology Clinic at Stanford Children's Hospital

Palo Alto, California, United States

Site Status RECRUITING

Countries

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United States

Central Contacts

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Monica Martin

Role: CONTACT

650-723-0636

Facility Contacts

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Monica Martin

Role: primary

650-723-0636

Elidia V Tafoya, MPH

Role: backup

650-724-1982

References

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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.

Reference Type BACKGROUND
PMID: 15358662 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 9384284 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 27043002 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 19910308 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 24203711 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 23060433 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 17644558 (View on PubMed)

Cohn HI, Teng JM. Advancement in management of epidermolysis bullosa. Curr Opin Pediatr. 2016 Aug;28(4):507-16. doi: 10.1097/MOP.0000000000000380.

Reference Type RESULT
PMID: 27386970 (View on PubMed)

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.

Reference Type RESULT
PMID: 26802230 (View on PubMed)

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.

Reference Type RESULT
PMID: 26194911 (View on PubMed)

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.

Reference Type RESULT
PMID: 23651789 (View on PubMed)

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.

Reference Type RESULT
PMID: 25832646 (View on PubMed)

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.

Reference Type RESULT
PMID: 27940607 (View on PubMed)

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.

Reference Type RESULT
PMID: 21877134 (View on PubMed)

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.

Reference Type RESULT
PMID: 19267394 (View on PubMed)

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.

Reference Type RESULT
PMID: 23483391 (View on PubMed)

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.

Reference Type RESULT
PMID: 25431026 (View on PubMed)

Other Identifiers

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41142

Identifier Type: -

Identifier Source: org_study_id

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