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Integrated bioinformatics analysis identifies established and novel TGFß1-regulated genes modulated by anti-fibrotic drugs.
Wilson, Ava C; Chiles, Joe; Ashish, Shah; Chanda, Diptiman; Kumar, Preeti L; Mobley, James A; Neptune, Enid R; Thannickal, Victor J; McDonald, Merry-Lynn N.
Afiliação
  • Wilson AC; Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Chiles J; Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Ashish S; Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Chanda D; Department of Orthopedic Surgery, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Kumar PL; Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Mobley JA; Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Neptune ER; Division of Molecular and Translational Biomedicine, Department of Anesthesiology and Perioperative Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Thannickal VJ; Department of Medicine, Johns Hopkins University, Baltimore, MD, USA.
  • McDonald MN; Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
Sci Rep ; 12(1): 3080, 2022 02 23.
Article em En | MEDLINE | ID: mdl-35197532
ABSTRACT
Fibrosis is a leading cause of morbidity and mortality worldwide. Although fibrosis may involve different organ systems, transforming growth factor-ß (TGFß) has been established as a master regulator of fibrosis across organs. Pirfenidone and Nintedanib are the only currently-approved drugs to treat fibrosis, specifically idiopathic pulmonary fibrosis, but their mechanisms of action remain poorly understood. To identify novel drug targets and uncover potential mechanisms by which these drugs attenuate fibrosis, we performed an integrative 'omics analysis of transcriptomic and proteomic responses to TGFß1-stimulated lung fibroblasts. Significant findings were annotated as associated with pirfenidone and nintedanib treatment in silico via Coremine. Integrative 'omics identified a co-expressed transcriptomic and proteomic module significantly correlated with TGFß1 treatment that was enriched (FDR-p = 0.04) with genes associated with pirfenidone and nintedanib treatment. While a subset of genes in this module have been implicated in fibrogenesis, several novel TGFß1 signaling targets were identified. Specifically, four genes (BASP1, HSD17B6, CDH11, and TNS1) have been associated with pirfenidone, while five genes (CLINT1, CADM1, MTDH, SYDE1, and MCTS1) have been associated with nintedanib, and MYDGF has been implicated with treatment using both drugs. Using the Clue Drug Repurposing Hub, succinic acid was highlighted as a metabolite regulated by the protein encoded by HSD17B6. This study provides new insights into the anti-fibrotic actions of pirfenidone and nintedanib and identifies novel targets for future mechanistic studies.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Piridonas / Regulação da Expressão Gênica / Proteínas da Matriz Extracelular / Fator de Crescimento Transformador beta / Biologia Computacional / Fibrose Pulmonar Idiopática / Antifibróticos / Indóis Tipo de estudo: Prognostic_studies Limite: Female / Humans / Male Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Piridonas / Regulação da Expressão Gênica / Proteínas da Matriz Extracelular / Fator de Crescimento Transformador beta / Biologia Computacional / Fibrose Pulmonar Idiopática / Antifibróticos / Indóis Tipo de estudo: Prognostic_studies Limite: Female / Humans / Male Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos