TY - JOUR
T1 - Network modules uncover mechanisms of skeletal muscle dysfunction in COPD patients
AU - Tényi, Ákos
AU - Cano, Isaac
AU - Marabita, Francesco
AU - Kiani, Narsis
AU - Kalko, Susana G.
AU - Barreiro, Esther
AU - Atauri, Pedro
AU - Cascante, Marta
AU - Gomez-Cabrero, David
AU - Roca, Josep
N1 - Generated from Scopus record by KAUST IRTS on 2021-02-16
PY - 2018/2/20
Y1 - 2018/2/20
N2 - Background: Chronic obstructive pulmonary disease (COPD) patients often show skeletal muscle dysfunction that has a prominent negative impact on prognosis. The study aims to further explore underlying mechanisms of skeletal muscle dysfunction as a characteristic systemic effect of COPD, potentially modifiable with preventive interventions (i.e. muscle training). The research analyzes network module associated pathways and evaluates the findings using independent measurements. Methods: We characterized the transcriptionally active network modules of interacting proteins in the vastus lateralis of COPD patients (n = 15, FEV 1 46 ± 12% pred, age 68 ± 7 years) and healthy sedentary controls (n = 12, age 65 ± 9 years), at rest and after an 8-week endurance training program. Network modules were functionally evaluated using experimental data derived from the same study groups. Results: At baseline, we identified four COPD specific network modules indicating abnormalities in creatinine metabolism, calcium homeostasis, oxidative stress and inflammatory responses, showing statistically significant associations with exercise capacity (VO 2 peak, Watts peak, BODE index and blood lactate levels) (P < 0.05 each), but not with lung function (FEV 1 ). Training-induced network modules displayed marked differences between COPD and controls. Healthy subjects specific training adaptations were significantly associated with cell bioenergetics (P < 0.05) which, in turn, showed strong relationships with training-induced plasma metabolomic changes; whereas, effects of training in COPD were constrained to muscle remodeling. Conclusion: In summary, altered muscle bioenergetics appears as the most striking finding, potentially driving other abnormal skeletal muscle responses.
AB - Background: Chronic obstructive pulmonary disease (COPD) patients often show skeletal muscle dysfunction that has a prominent negative impact on prognosis. The study aims to further explore underlying mechanisms of skeletal muscle dysfunction as a characteristic systemic effect of COPD, potentially modifiable with preventive interventions (i.e. muscle training). The research analyzes network module associated pathways and evaluates the findings using independent measurements. Methods: We characterized the transcriptionally active network modules of interacting proteins in the vastus lateralis of COPD patients (n = 15, FEV 1 46 ± 12% pred, age 68 ± 7 years) and healthy sedentary controls (n = 12, age 65 ± 9 years), at rest and after an 8-week endurance training program. Network modules were functionally evaluated using experimental data derived from the same study groups. Results: At baseline, we identified four COPD specific network modules indicating abnormalities in creatinine metabolism, calcium homeostasis, oxidative stress and inflammatory responses, showing statistically significant associations with exercise capacity (VO 2 peak, Watts peak, BODE index and blood lactate levels) (P < 0.05 each), but not with lung function (FEV 1 ). Training-induced network modules displayed marked differences between COPD and controls. Healthy subjects specific training adaptations were significantly associated with cell bioenergetics (P < 0.05) which, in turn, showed strong relationships with training-induced plasma metabolomic changes; whereas, effects of training in COPD were constrained to muscle remodeling. Conclusion: In summary, altered muscle bioenergetics appears as the most striking finding, potentially driving other abnormal skeletal muscle responses.
UR - https://translational-medicine.biomedcentral.com/articles/10.1186/s12967-018-1405-y
UR - http://www.scopus.com/inward/record.url?scp=85042549104&partnerID=8YFLogxK
U2 - 10.1186/s12967-018-1405-y
DO - 10.1186/s12967-018-1405-y
M3 - Article
SN - 1479-5876
VL - 16
JO - Journal of Translational Medicine
JF - Journal of Translational Medicine
IS - 1
ER -