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Highlights on Future Treatments of IPF: Clues and Pitfalls.

Alessandro LibraEnrico SciaccaGiuseppe MuscatoGianluca SambataroLucia SpicuzzaCarlo Vancheri
Published in: International journal of molecular sciences (2024)
Idiopathic pulmonary fibrosis (IPF) is an interstitial lung disease characterized by irreversible scarring of lung tissue, leading to death. Despite recent advancements in understanding its pathophysiology, IPF remains elusive, and therapeutic options are limited and non-curative. This review aims to synthesize the latest research developments, focusing on the molecular mechanisms driving the disease and on the related emerging treatments. Unfortunately, several phase 2 studies showing promising preliminary results did not meet the primary endpoints in the subsequent phase 3, underlying the complexity of the disease and the need for new integrated endpoints. IPF remains a challenging condition with a complex interplay of genetic, epigenetic, and pathophysiological factors. Ongoing research into the molecular keystones of IPF is critical for the development of targeted therapies that could potentially stop the progression of the disease. Future directions include personalized medicine approaches, artificial intelligence integration, growth in genetic insights, and novel drug targets.
Keyphrases
  • idiopathic pulmonary fibrosis
  • interstitial lung disease
  • artificial intelligence
  • machine learning
  • current status
  • genome wide
  • gene expression
  • dna methylation
  • deep learning
  • emergency department
  • adverse drug