A Systems Biology Approach Identifies Molecular Networks Defining Skeletal Muscle Abnormalities in Chronic Obstructive Pulmonary Disease
Open accessAbstract
Chronic Obstructive Pulmonary Disease (COPD) is an inflammatory process of the lung inducing persistent airflow limitation. Extensive systemic effects, such as skeletal muscle dysfunction, often characterize these patients and severely limit life expectancy. Despite considerable research efforts, the molecular basis of muscle degeneration in COPD is still a matter of intense debate. In this study, we have applied a network biology approach to model the relationship between muscle molecular and physiological response to training and systemic inflammatory mediators. Our model shows that failure to co-ordinately activate expression of several tissue remodelling and bioenergetics pathways is a specific landmark of COPD diseased muscles. Our findings also suggest that this phenomenon may be linked to an abnormal expression of a number of histone modifiers, which we discovered correlate with oxygen utilization. These observations raised the interesting possibility that cell hypoxia may be a key factor driving skeletal muscle degeneration in COPD patients.
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Hypoxia seems to play a prominent role in the skeletal muscle wasting of COPD patients, as suggested by transcriptomic studies evidencing upregulation of four histone deacetylases in the muscle of COPD patients compared to healthy subjects and correlated with oxygen availability.
“Hypoxia seems to play a prominent role in the skeletal muscle wasting of COPD patients, as suggested by a network-analysis transcriptomic studies evidencing upregulation of four histone deacetylase in the muscle of COPD patients (HDAC 9 and 4, SIRT 2 and 3) compared to that of healthy subjects and correlated with oxygen availability [66].”
From Main Pathogenic Mechanisms and Recent Advances in COPD Peripheral Skeletal Muscle Wasting (2023) · cites this paper as [66]
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Predictive medicine: outcomes, challenges and opportunities in the Synergy-COPD project
Miralles, F., Gómez-Cabrero, D., Lluch-Ariet, M., Tegnér, J., Cascante, M., Roca, J., & Synergy-Copd Consortium (2014) · Journal of Translational Medicine · doi:10.1186/1479-5876-12-s2-s12 · Cited by 17 · see citing works
“The main biomedical findings of the studies carried out in Synergy-COPD were: Abnormal regulation of relevant skeletal muscle biological pathways - Integrative multilevel analyses of skeletal muscle of healthy subjects and COPD patients [23-26] including different “omics” layers (transcriptomics, epigenetics, proteomi…”
BackgroundSelf-citationMolecular mechanisms underlying COPD-muscle dysfunction unveiled through a systems medicine approach
de Mas, I. M., Fanchon, É., Papp, B., Kalko, S. G., Roca, J., & Cascante, M. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw566 · Cited by 14 · see citing works
“…of examining the role of ROS in the activity state of the GRN in six different states: control group (12 individuals), COPD with normal BMI (13 patients) and COPD with low BMI (6 patients) (Rodriguez et al., 2011; Turan et al., 2011) before and after an 8-week training program (Sala et al., 1999).”
Self-citationWorkforce preparation: the Biohealth computing model for Master and PhD students
Cascante, M., de Atauri, P., Gómez-Cabrero, D., Wagner, P. D., Centelles, J. J., Marín, S., Cano, I., Velickovski, F., de Mas, I. M., Maier, D., et al. (2014) · Journal of Translational Medicine · doi:10.1186/1479-5876-12-s2-s11 · Cited by 14 · see citing works
“Environmental factors, unhealthy life-styles and increased life expectancy (ageing), intrinsic host responses, such as local and systemic inflammation [11], epigenetic changes [12] and decoupling of basic regulatory mechanisms with impact on bioenergetics, immune responses and remodeling [12] may play significant role…”
Self-citationCano, I., Selivanov, V., Gómez-Cabrero, D., Tegnér, J., Roca, J., Wagner, P., & Cascante, M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0111068 · Cited by 15 · see citing works
“Moreover, there is evidence [42–44] of the role of nitroso-redox disequilibrium explaining systemic effects in several chronic disorders such as COPD, chronic heart failure and type II diabetes.”
BackgroundInfluentialSelf-citationThe Proteome of a Healthy Human during Physical Activity under Extreme Conditions
Larina, I. M., Иванисенко, В. А., Николаев, Е. Н., & Григорьев, А. И. (2014) · Acta Naturae · doi:10.32607/20758251-2014-6-3-66-75 · Cited by 14 · see citing works
Lainščak, M., Gosker, H., & Schols, A. (2013) · Current opinion in clinical nutrition and metabolic care · doi:10.1097/mco.0b013e328360285d · Cited by 15 · see citing works
Barberan-Garcia, A., Muñoz, P., Gimeno-Santos, E., Burgos, F., Torralba, Y., Gistau, C., Roca, J., & Rodríguez, D. (2019) · Clinical Physiology and Functional Imaging · doi:10.1111/cpf.12572 · Cited by 14
“The current study was carried out as part of a broader protocol on the effects of exercise training on nitroso–redox equilibrium in COPD patients (Barreiro et al., 2009; Turan et al., 2011; Rodriguez et al., 2012).”
Self-citationRoca, J., Cano, I., Gómez-Cabrero, D., & Tegner, J. N. (2015) · Methods in molecular biology · doi:10.1007/978-1-4939-3283-2_13 · Cited by 13 · see citing works
Self-citationZhang, Z.-Y., & Li, Y.-H. (2024) · Annals medicus · doi:10.1080/07853890.2024.2392022 · Cited by 13 · see citing works
“…and cardiac insufficiency. among these factors, skeletal muscle dysfunction is considered to be the primary cause of exercise limitation. this dysfunction is primarily characterized by a decrease in muscle strength and endurance [4]. the reasons behind this decrease can be analyzed as follows: 1.”
BackgroundDavidsen, P. K., Turan, N., Egginton, S., & Falciani, F. (2016) · Journal of applied physiology · doi:10.1152/japplphysiol.01110.2014 · Cited by 13 · see citing works
Self-citationBiological Networks and Drug Discovery—Where Do We Stand?
Geppert, T., & Koeppen, H. (2014) · Drug Development Research · doi:10.1002/ddr.21207 · Cited by 14 · see citing works
Reibe, S., Hjorth, M., Febbraio, M., & Whitham, M. (2018) · Physiological Genomics · doi:10.1152/physiolgenomics.00127.2017 · Cited by 11 · see citing works
Neunhäuserer, D., Hudelmaier, M., Niederseer, D., Vecchiato, M., Wirth, W., Steidle-Kloc, E., Kaiser, B., Lamprecht, B., Ermolao, A., Studnicka, M., et al. (2023) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000003268 · Cited by 10 · see citing works
“…standard pulmonary rehabilitation programs, it was shown that hypoxia can be a key factor driving changes in limb muscle tissue, affecting muscle weakness, dysfunction, and atrophy through altered signalization in the HIF/von Hippel – Lindau pathway as well as by epigenetic mechanisms (8,14,40).”
BackgroundIdentification of potential COPD genes based on multi-omics data at the functional level
Liu, Z., Wan, L., Lv, J., Xie, R., Huang, H., Li, Y., He, Y., Jiang, J., Chen, B., Guo, S., et al. (2015) · Molecular BioSystems · doi:10.1039/c5mb00577a · Cited by 11 · see citing works
Global DNA Methylation, miRNA, and mRNA Profiles in Sheep Skeletal Muscle Promoted by Hybridization.
Chen, B.-W., Yue, Y., Li, J.-Y., Yuan, C., Guo, T., Zhang, D., Liu, J.-B., Yang, B.-H., & Lu, Z.-K. (2023) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.3c02173 · Cited by 6
Applying Systems Medicine in the clinic
Maier, D. (2017) · Current Opinion in Systems Biology · doi:10.1016/j.coisb.2017.04.014 · Cited by 5 · see citing works
Chabert, C., Khochbin, S., Rousseaux, S., Furze, R., Smithers, N., Prinjha, R., Schlattner, U., Pison, C., & Dubouchaud, H. (2017) · Scientific Reports · doi:10.1038/s41598-017-12112-0 · Cited by 5 · see citing works
Treviño, V., Cassese, A., Nagy, Z., Zhuang, X., Herbert, J. M., Antzack, P., Clarke, K., Davies, N., Rahman, A., Campbell, M., et al. (2016) · PLoS Comput. Biol. · doi:10.1371/journal.pcbi.1004884 · Cited by 4 · see citing works
“In such scenarios, different computational methodologies may be used to reverse engineer underlying gene regulatory networks [38].”
BackgroundSelf-citationAutism cornered: network analyses reveal mechanisms of autism spectrum disorders
Auffray, C. (2014) · Molecular Systems Biology · doi:10.15252/msb.20145937 · Cited by 4 · see citing works
“This follows a trend that was initiated in the field of cancer over the past decade (Chuang et al, 2007) and is now being implemented in other biomedical fields such as respiratory medicine (Turan et al, 2011; Gustafsson et al, 2014).”
BackgroundWalsh, C., Batt, J., Herridge, M., Mathur, S., Bader, G. D., Hu, P., Khatri, P., & dos Santos, C. D. (2022) · Scientific Reports · doi:10.1038/s41598-022-15003-1 · Cited by 3 · see citing works
Bokov, R. O., & Викторович, П. Д. (2022) · Human Physiology · doi:10.1134/s0362119722030033 · Cited by 4 · see citing works
Activité physique, nutrition, et insuffisance cardiaque chronique
Thibault, R., Meyer, P., & Cano, N. (2014) · Nutrition Clinique et Métabolisme · doi:10.1016/j.nupar.2014.10.005 · Cited by 1 · see citing works
“[77] Turan N, Kalko S, Stincone A, Clarke K, Sabah A, Howlett K, et al.”
BackgroundLower-Limb Muscle Impairments in Patients with COPD: An Overview of the Past Decade
Brauwers, B., Spruit, M. A., Franssen, F. M. E., Vaes, A. W., & Machado, F. V. C. (2026) · Cells · doi:10.3390/cells15030220
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Activité physique et nutrition dans la broncho-pneumopathie chronique obstructive
Costes, F., & Pison, C. M. (2014) · Nutrition Clinique et Métabolisme · doi:10.1016/j.nupar.2014.10.004 · Cited by 2 · see citing works
Chronic Obstructive Pulmonary Disease (COPD): Neuromuscular Implications
Deluca, C., Buffone, E., Minguzzi, E., & Passarin, M. G. (2012) · Springer eBooks · doi:10.1007/978-88-470-2580-6_4 · Cited by 1 · see citing works
“A very recent study challenged this idea that muscle wasting in COPD is correlated to systemic inflammation [30].”
BackgroundSandira, M., Hasan, F., Shibaguchi, T., Idris, H., Mukhtar, M., & Masuda, K. (2026) · Physiological Reports · doi:10.14814/phy2.70874
“Our analysis was limited to twelve healthy volunteers by comparing pre-and post- 8-week training (sedentary healthy vs. trained healthy) (Turan et al., 2011).”
A review on use of computational biology in testing of skeletal muscle function in COPD patients
pattiwar, J., & Walke, R. (2022) · Journal of Pharmaceutical Negative Results · doi:10.47750/pnr.2022.13.s06.381
“These findings highlighted the intriguing hypothesis that cell hypoxia is a crucial contributor in COPD patients' skeletal muscle deterioration.(1)”
BackgroundUn patient emphysémateux dénutri
Pison, C., Crétier, P., Frumy, F., Danton, A., Vivodtzev, I., & Borel, J. (2012) · doi:10.1016/j.nupar.2012.06.002
- Authors
- Turan, N., Kalko, S., Stincone, A., Clarke, K., Sabah, A., Howlett, K., Curnow, S. J., Rodriguez, D. A., Cascante, M., O'Neill, L., Egginton, S., Roca, J., & Falciani, F.
- Affiliations
- University of Birmingham (GB)
- Hospital Clínic de Barcelona (ES)
- Institut de Biomedicina de la Universitat de Barcelona (ES)
- ORCID
- Venue
- PLoS Computational Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2011-09-01
- Volume
- 7
- Issue
- 9
- Pages
- e1002129
- ISSN
- 1553-734X (ISSN-L)
- 1553-7358
- PMC
- PMC3164707
- OpenAlex
- W2005659463
- Cited by
- 74
- References
- 66
- Citations by year
- 2026: 3 · 2024: 2 · 2023: 3 · 2022: 3 · 2021: 2 · 2020: 2 · 2019: 3 · 2018: 5 · 2017: 4 · 2016: 3 · 2015: 10 · 2014: 23 · 2013: 8 · 2012: 3
- FWCI
- 4.42
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS Computational Biology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona) (publishedVersion, cc-by)
- RECERCAT (Consorci de Serveis Universitaris de Catalunya) (publishedVersion, other-oa)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- University of Birmingham Research Portal (University of Birmingham) (submittedVersion, cc-by)
- University of Birmingham Research Portal (University of Birmingham) (submittedVersion, other-oa)
- Funders
- European Commission (RD06/0020)
- Generalitat de Catalunya (2009SGR1308, 2009SGR911, 2009-SGR-393)
- Ministerio de Ciencia e Innovación (SAF2008-00164)
- Instituto de Salud Carlos III (2009 SGR 911, RD06/0020, RD06/0020/0046, SAF2008-00164)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Muscle Physiology and Disorders
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Chronic Obstructive Pulmonary Disease (COPD) Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Keywords
- chronic obstructive pulmonary disease, skeletal muscle dysfunction, muscle degeneration, molecular networks, systemic inflammation, exercise training response, tissue remodeling, bioenergetics, histone modifiers, oxygen utilization, hypoxia, gene expression
- MeSH terms
- Aged, Animals, Energy Metabolism, Female, Histones, Humans, Male, Mice, Inbred C57BL, Middle Aged, Oxygen Consumption, RNA, Messenger, Cell Hypoxia, Up-Regulation, Cytokines, Muscle, Skeletal, Gene Expression Profiling, Pulmonary Disease, Chronic Obstructive, Systems Biology, Mice, Interleukin-1beta, Metabolic Networks and Pathways
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