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Predicted regulatory SNPs reveal potential drug targets and novel companion diagnostics in psoriasis

Psoriasis is an autoimmune disease associated with interleukins, their receptors, key transcription factors and more recently, antimicrobial peptides (AMPs). Cathelicidin LL-37 is an AMP proposed to play a fundamental role in psoriasis etiology. With our proprietary software SNPClinic v.1.0, we anal...

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Autores principales: Ruiz Ramírez, Andrea Virginia, Flores-Saiffe Farías, Adolfo, Chávez Álvarez, Rocío del Carmen, Prado Montes de Oca, Ernesto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8060581/
https://www.ncbi.nlm.nih.gov/pubmed/33898962
http://dx.doi.org/10.1016/j.jtauto.2021.100096
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author Ruiz Ramírez, Andrea Virginia
Flores-Saiffe Farías, Adolfo
Chávez Álvarez, Rocío del Carmen
Prado Montes de Oca, Ernesto
author_facet Ruiz Ramírez, Andrea Virginia
Flores-Saiffe Farías, Adolfo
Chávez Álvarez, Rocío del Carmen
Prado Montes de Oca, Ernesto
author_sort Ruiz Ramírez, Andrea Virginia
collection PubMed
description Psoriasis is an autoimmune disease associated with interleukins, their receptors, key transcription factors and more recently, antimicrobial peptides (AMPs). Cathelicidin LL-37 is an AMP proposed to play a fundamental role in psoriasis etiology. With our proprietary software SNPClinic v.1.0, we analyzed 203 common SNPs (MAF frequency ​> ​1%) in proximal promoters of 22 genes associated with psoriasis. These include nine genes which protein products are classic drug targets for psoriasis (TNF, IL17A, IL17B, IL17C, IL17F, IL17RA, IL12A, IL12B and IL23A). SNPClinic predictions were run with DNAseI-HUP chromatin accessibility data in eight psoriasis/epithelia-relevant cell lines from ENCODE including keratinocytes (NHEK), T(H)1 and T(H)17 lymphocytes. Results were ranked quantitatively by transcriptional relevance according to our novel Functional Impact Factor (FIF) parameter. We found six rSNPs in five genes (CAMP/cathelicidin, S100A7/psoriasin, IL17C, IL17RA and TNF) and each was confirmed as true rSNP in at least one public eQTL database including GTEx portal and ENCODE (Phase 3). Predicted regulatory SNPs in cathelicidin, IL17C and IL17RA genes may explain hyperproliferation of keratinocytes. Predicted rSNPs in psoriasin, IL17C and cathelicidin may contribute to activation and polarization of lymphocytes. Predicted rSNPs in TNF gene are concordant with the epithelium-mesenchymal transition. In spite that these results must be validated in vitro and in vivo with a functional genomics approach, we propose FOXP2, RUNX2, NR2F1, ELF1 and HESX1 transcription factors (those with the highest FIF on each gene) as novel drug targets for psoriasis. Furthermore, four out of six rSNPs uncovered by SNPClinic v.1.0 software, could also be validated in the clinic as companion diagnostics/pharmacogenetics assays for psoriasis prescribed drugs that block TNF-α (e.g. Etanercept), IL-17 (e.g. Secukinumab) and IL-17 receptor (Brodalumab).
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spelling pubmed-80605812021-04-23 Predicted regulatory SNPs reveal potential drug targets and novel companion diagnostics in psoriasis Ruiz Ramírez, Andrea Virginia Flores-Saiffe Farías, Adolfo Chávez Álvarez, Rocío del Carmen Prado Montes de Oca, Ernesto J Transl Autoimmun Research paper Psoriasis is an autoimmune disease associated with interleukins, their receptors, key transcription factors and more recently, antimicrobial peptides (AMPs). Cathelicidin LL-37 is an AMP proposed to play a fundamental role in psoriasis etiology. With our proprietary software SNPClinic v.1.0, we analyzed 203 common SNPs (MAF frequency ​> ​1%) in proximal promoters of 22 genes associated with psoriasis. These include nine genes which protein products are classic drug targets for psoriasis (TNF, IL17A, IL17B, IL17C, IL17F, IL17RA, IL12A, IL12B and IL23A). SNPClinic predictions were run with DNAseI-HUP chromatin accessibility data in eight psoriasis/epithelia-relevant cell lines from ENCODE including keratinocytes (NHEK), T(H)1 and T(H)17 lymphocytes. Results were ranked quantitatively by transcriptional relevance according to our novel Functional Impact Factor (FIF) parameter. We found six rSNPs in five genes (CAMP/cathelicidin, S100A7/psoriasin, IL17C, IL17RA and TNF) and each was confirmed as true rSNP in at least one public eQTL database including GTEx portal and ENCODE (Phase 3). Predicted regulatory SNPs in cathelicidin, IL17C and IL17RA genes may explain hyperproliferation of keratinocytes. Predicted rSNPs in psoriasin, IL17C and cathelicidin may contribute to activation and polarization of lymphocytes. Predicted rSNPs in TNF gene are concordant with the epithelium-mesenchymal transition. In spite that these results must be validated in vitro and in vivo with a functional genomics approach, we propose FOXP2, RUNX2, NR2F1, ELF1 and HESX1 transcription factors (those with the highest FIF on each gene) as novel drug targets for psoriasis. Furthermore, four out of six rSNPs uncovered by SNPClinic v.1.0 software, could also be validated in the clinic as companion diagnostics/pharmacogenetics assays for psoriasis prescribed drugs that block TNF-α (e.g. Etanercept), IL-17 (e.g. Secukinumab) and IL-17 receptor (Brodalumab). Elsevier 2021-04-05 /pmc/articles/PMC8060581/ /pubmed/33898962 http://dx.doi.org/10.1016/j.jtauto.2021.100096 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research paper
Ruiz Ramírez, Andrea Virginia
Flores-Saiffe Farías, Adolfo
Chávez Álvarez, Rocío del Carmen
Prado Montes de Oca, Ernesto
Predicted regulatory SNPs reveal potential drug targets and novel companion diagnostics in psoriasis
title Predicted regulatory SNPs reveal potential drug targets and novel companion diagnostics in psoriasis
title_full Predicted regulatory SNPs reveal potential drug targets and novel companion diagnostics in psoriasis
title_fullStr Predicted regulatory SNPs reveal potential drug targets and novel companion diagnostics in psoriasis
title_full_unstemmed Predicted regulatory SNPs reveal potential drug targets and novel companion diagnostics in psoriasis
title_short Predicted regulatory SNPs reveal potential drug targets and novel companion diagnostics in psoriasis
title_sort predicted regulatory snps reveal potential drug targets and novel companion diagnostics in psoriasis
topic Research paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8060581/
https://www.ncbi.nlm.nih.gov/pubmed/33898962
http://dx.doi.org/10.1016/j.jtauto.2021.100096
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