Introduction to Oxidative Stress and Antioxidant Therapy in Respiratory Disorder

  • Francesco Galli
  • Massimo Conese
  • Luigi Maiuri
  • Roberto Gambari
  • Desirée Bartolini
  • Marta Piroddi
  • Silvia Ciffolilli
  • Giulio Cabrini
Part of the Oxidative Stress in Applied Basic Research and Clinical Practice book series (OXISTRESS)


Impairments of redox balance are presently known to be involved in many aspects of respiratory disorders. these are responsible for either acute or chronic events of damage in cells and tissues, thus leading to oxidative stress. The control of thiol redox in a number of signaling and transcriptional elements provides a fundamental regulatory role to cellular reactive oxygen species (ROS). These are for instance key players of the inflammatory signaling and participate in the remodeling of stressed tissues by differentiation, apoptosis, and autophagy of cellular components. New clues are also emerging on the role of ROS as pacesetters of metabolic pathways and aging of the entire organism. Besides the direct oxidant effects on cellular constituents, the alterations of these and other physiological roles of ROS can further contribute to develop oxidative stress. In this respect, the investigation of novel oxidative stress biomarkers may have translational impact on clinical monitoring of chronic respiratory diseases such as chronic obstructive pulmonary disease, bronchial asthma, and cystic fibrosis, also paving the way for the identification of innovative antioxidant therapies.

This introduction wishes to open the readers’ interest on these issues that are further expanded in the following chapters of this book dealing with oxidative stress mechanisms and remedies for specific respiratory diseases.


Reactive Oxygen Species Chronic Obstructive Pulmonary Disease Cystic Fibrosis Chronic Obstructive Pulmonary Disease Patient Idiopathic Pulmonary Fibrosis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The authors are grateful to the Italian Society for Cystic Fibrosis and the Italian Cystic Fibrosis Research Foundation for support, and all the other members of the Italian Working Group on Inflammation in Cystic Fibrosis (Alessandra Bragonzi, Elena Bravo, Salvatore Cuzzocrea, Maria Cristina Dechecchi, Alessandra De Alessandri, Virgilio Evangelista, Vincenzina Lucidi, Antonietta Lambiase, Antonio Manca, Paola Melotti, Laura Minicucci, Andrea Motta, Donatella Pietraforte, Alfonso Pompella, Serena Quattrucci, Roberta Rizzo, Roberto Rizzo, Mario Romano, Claudio Sorio, Riccardina Tesse) for helpful discussions.


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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Francesco Galli
    • 1
  • Massimo Conese
    • 2
  • Luigi Maiuri
    • 2
    • 3
  • Roberto Gambari
    • 4
  • Desirée Bartolini
    • 1
  • Marta Piroddi
    • 1
  • Silvia Ciffolilli
    • 1
  • Giulio Cabrini
    • 5
  1. 1.Department of Pharmaceutical SciencesUniversity of PerugiaPerugiaItaly
  2. 2.Department of Medical and Surgical SciencesUniversity of FoggiaFoggiaItaly
  3. 3.European Institute for Research in Cystic FibrosisMilanItaly
  4. 4.Department of Life Sciences and BiotechnologyUniversity of FerraraFerraraItaly
  5. 5.Department of Pathology and DiagnosticsUniversity Hospital of VeronaVeronaItaly

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