Igor Marín de Mas1,2,3, Eric Fanchon4, Balázs Papp3, Susana Kalko5, Josep Roca2,6, Marta Cascante1,2. 1. Department of Biochemistry and Molecular Biology, Faculty of Biology, Institute of Biomedicine of University of Barcelona (IBUB) and IDIBAPS, Diagonal 645, Barcelona 08028, Spain. 2. Institut d' Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Barcelona 08028, Spain. 3. Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Center of the Hungarian Academy of Sciences, Temesvári krt. 62, Szeged H-6726, Hungary. 4. Université Grenoble Alpes-CNRS, TIMC-IMAG UMR 5525, Faculté de Médecine, Grenoble 38041, France. 5. Bioinformatics Core Facility, IDIBAPS-CEK, Hospital Clínic, University de Barcelona, Barcelona 08036, Spain. 6. Department of Pulmonary Medicine, Hospital Clínic, IDIBAPS, CIBERES, Universitat de Barcelona, Barcelona 08036, Spain.
Abstract
MOTIVATION: Skeletal muscle dysfunction is a systemic effect in one-third of patients with chronic obstructive pulmonary disease (COPD), characterized by high reactive-oxygen-species (ROS) production and abnormal endurance training-induced adaptive changes. However, the role of ROS in COPD remains unclear, not least because of the lack of appropriate tools to study multifactorial diseases. RESULTS: We describe a discrete model-driven method combining mechanistic and probabilistic approaches to decipher the role of ROS on the activity state of skeletal muscle regulatory network, assessed before and after an 8-week endurance training program in COPD patients and healthy subjects. In COPD, our computational analysis indicates abnormal training-induced regulatory responses leading to defective tissue remodeling and abnormal energy metabolism. Moreover, we identified tnf, insr, inha and myc as key regulators of abnormal training-induced adaptations in COPD. The tnf-insr pair was identified as a promising target for therapeutic interventions. Our work sheds new light on skeletal muscle dysfunction in COPD, opening new avenues for cost-effective therapies. It overcomes limitations of previous computational approaches showing high potential for the study of other multi-factorial diseases such as diabetes or cancer. CONTACT: jroca@clinic.ub.es or martacascante@ub.eduSupplementary information: Supplementary data are available at Bioinformatics online.
MOTIVATION: Skeletal muscle dysfunction is a systemic effect in one-third of patients with chronic obstructive pulmonary disease (COPD), characterized by high reactive-oxygen-species (ROS) production and abnormal endurance training-induced adaptive changes. However, the role of ROS in COPD remains unclear, not least because of the lack of appropriate tools to study multifactorial diseases. RESULTS: We describe a discrete model-driven method combining mechanistic and probabilistic approaches to decipher the role of ROS on the activity state of skeletal muscle regulatory network, assessed before and after an 8-week endurance training program in COPDpatients and healthy subjects. In COPD, our computational analysis indicates abnormal training-induced regulatory responses leading to defective tissue remodeling and abnormal energy metabolism. Moreover, we identified tnf, insr, inha and myc as key regulators of abnormal training-induced adaptations in COPD. The tnf-insr pair was identified as a promising target for therapeutic interventions. Our work sheds new light on skeletal muscle dysfunction in COPD, opening new avenues for cost-effective therapies. It overcomes limitations of previous computational approaches showing high potential for the study of other multi-factorial diseases such as diabetes or cancer. CONTACT: jroca@clinic.ub.es or martacascante@ub.eduSupplementary information: Supplementary data are available at Bioinformatics online.
Authors: E Sala; J Roca; R M Marrades; J Alonso; J M Gonzalez De Suso; A Moreno; J A Barberá; J Nadal; L de Jover; R Rodriguez-Roisin; P D Wagner Journal: Am J Respir Crit Care Med Date: 1999-06 Impact factor: 21.405
Authors: R A Rabinovich; R Bastos; E Ardite; L Llinàs; M Orozco-Levi; J Gea; J Vilaró; J A Barberà; R Rodríguez-Roisin; J C Fernández-Checa; J Roca Journal: Eur Respir J Date: 2006-12-20 Impact factor: 16.671
Authors: R A Rabinovich; E Ardite; T Troosters; N Carbó; J Alonso; J M Gonzalez de Suso; J Vilaró; J A Barberà; M F Polo; J M Argilés; J C Fernandez-Checa; J Roca Journal: Am J Respir Crit Care Med Date: 2001-10-01 Impact factor: 21.405
Authors: Kalevi Pyörälä; Christie M Ballantyne; Barry Gumbiner; Michael W Lee; Arvind Shah; Michael J Davies; Yale B Mitchel; Terje R Pedersen; John Kjekshus Journal: Diabetes Care Date: 2004-07 Impact factor: 19.112
Authors: Joseph Balnis; Tanner C Korponay; Catherine E Vincent; Diane V Singer; Alejandro P Adam; David Lacomis; Chun Geun Lee; Jack A Elias; Harold A Singer; Ariel Jaitovich Journal: J Appl Physiol (1985) Date: 2019-11-27
Authors: Ákos Tényi; Isaac Cano; Francesco Marabita; Narsis Kiani; Susana G Kalko; Esther Barreiro; Pedro de Atauri; Marta Cascante; David Gomez-Cabrero; Josep Roca Journal: J Transl Med Date: 2018-02-20 Impact factor: 5.531
Authors: Anita E M Kneppers; Roy A M Haast; Ramon C J Langen; Lex B Verdijk; Pieter A Leermakers; Harry R Gosker; Luc J C van Loon; Mitja Lainscak; Annemie M W J Schols Journal: J Cachexia Sarcopenia Muscle Date: 2019-01-18 Impact factor: 12.910
Authors: Frits Me Franssen; Peter Alter; Nadav Bar; Birke J Benedikter; Stella Iurato; Dieter Maier; Michael Maxheim; Fabienne K Roessler; Martijn A Spruit; Claus F Vogelmeier; Emiel Fm Wouters; Bernd Schmeck Journal: Int J Chron Obstruct Pulmon Dis Date: 2019-07-09