scholarly journals Can muscle protein metabolism be specifically targeted by nutritional support and exercise training in chronic obstructive pulmonary disease?

2018 ◽  
Vol 10 (S12) ◽  
pp. S1377-S1389 ◽  
Author(s):  
Ramzi Lakhdar ◽  
Roberto A. Rabinovich
2020 ◽  
Vol 26 (4) ◽  
pp. 3184-3200
Author(s):  
Pernilla Sönnerfors ◽  
Karin Wadell ◽  
Ing-Mari Dohrn ◽  
André Nyberg ◽  
Michael Runold ◽  
...  

Technology developments and demand for flexibility in health care and in contact with the health care system are two factors leading to increased use of eHealth solutions. The use of eHealth has been shown to have positive effects in people with chronic obstructive pulmonary disease, but the full potential for this group needs to be explored. Therefore, the aim was to evaluate the feasibility of an eHealth tool used for exercise training and online contacts for people with severe chronic obstructive pulmonary disease. The 10-week intervention included an eHealth tool for exercise training in home environment and regular online contacts, as well as weekly e-rounds for health care professionals. Seven of the nine participants completed the study. The eHealth tool was found to be feasible for e-rounds, exercise training and online contacts. Participants could manage the tool and adhere to training; positive effects were shown, and no adverse events occurred. Technical functions need to be improved.


2013 ◽  
Vol 115 (12) ◽  
pp. 1796-1805 ◽  
Author(s):  
Fares Gouzi ◽  
Aldjia Abdellaoui ◽  
Nicolas Molinari ◽  
Edith Pinot ◽  
Bronia Ayoub ◽  
...  

Peripheral muscle dysfunction, associated with reductions in fiber cross-sectional area (CSA) and in type I fibers, is a key outcome in chronic obstructive pulmonary disease (COPD). However, COPD peripheral muscle function and structure show great heterogeneity, overlapping those in sedentary healthy subjects (SHS). While discrepancies in the link between muscle structure and phenotype remain unexplained, we tested whether the fiber CSA and the type I fiber reductions were the attributes of different phenotypes of the disease, using unsupervised clustering method and post hoc validation. Principal component analysis performed on functional and histomorphological parameters in 64 COPD patients {forced expiratory volume in 1 s (FEV1) = 42.0 [30.0–58.5]% predicted} and 27 SHS (FEV1 = 105.0 [95.0–114.0]% predicted) revealed two COPD clusters with distinct peripheral muscle dysfunctions. These two clusters had different type I fiber proportion (26.0 ± 14.0% vs. 39.8 ± 12.6%; P < 0.05), and fiber CSA (3,731 ± 1,233 vs. 5,657 ± 1,098 μm2; P < 0.05). The “atrophic” cluster showed an increase in muscle protein carbonylation (131.5 [83.6–200.3] vs. 83.0 [68.3–105.1]; P < 0.05). Then, COPD patients underwent pulmonary rehabilitation. If the higher risk of exacerbations in the “atrophic” cluster did not reach statistical significance after adjustment for FEV1 (hazard ratio: 2.43; P = 0.11, n = 54), the improvement of VO2sl after training was greater than in the nonatrophic cluster (+24 ± 16% vs. +6 ± 13%; P < 0.01). Last, their age was similar (60.4 ± 8.8 vs. 60.8 ± 9.0 yr; P = 0.87), suggesting a different time course of the disease. We identified and validated two phenotypes of COPD patients showing different muscle histomorphology and level of oxidative stress. Thus our study demonstrates that the muscle heterogeneity is the translation of different phenotypes of the disease.


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