Metabolomics and Proteomics in Chronic Obstructive Pulmonary Disease (COPD)

A special issue of Cells (ISSN 2073-4409). This special issue belongs to the section "Cellular Metabolism".

Deadline for manuscript submissions: closed (1 May 2024) | Viewed by 5528

Special Issue Editor


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Guest Editor
Hospital del Mar–IMIM, Universitat Pompeu Fabra, Barcelona, Spain
Interests: COPD; respiratory and muscle physiology; biomarkers

Special Issue Information

Dear Colleagues,

Chronic Obstructive Pulmonary Disease (COPD) is mainly characterized by chronic airflow obstruction but shows very heterogeneous clinical presentations (called phenotypes or treatable traits). These phenotypes are believed to correspond to partially differentiated biological mechanisms (endotypes). This constitutes a difficulty for the practice of a more personalized medicine since it is necessary to obtain specific clinical and/or biological markers. The latter is linked to the above-mentioned phenotypes, whose search can be performed by either following specific hypotheses using conventional techniques or by using a broader approach such as that of omic sciences. Metabolomics and proteomics stand out among these as it allows the identification and quantification of metabolites and peptides/proteins, respectively, with subsequent deduction of the biological processes where these molecules are involved. To date, many metabolomic and proteomic studies have been carried out aimed at defining those changes typical when considering COPD as a whole entity and the more specific ones that are characteristic of its different phenotypes. Most of these studies have been done on blood samples due to the easy obtention and potential future clinical applicability. Some studies have also been carried out on samples from the respiratory system, and even in urine. In general, the different authors agree on the relevance of the changes observed in the metabolism of peptides/proteins and some lipids (mainly fatty acids and phospholipids) in patients with COPD, with direct implications in the pathways linked to inflammation and oxidative stress, as well as protein catabolism and energy production. Regarding the main COPD phenotypes, it seems that patients with emphysema exhibit an overproduction of free radicals, with abnormalities in the citric acid cycle, protein catabolism and oxidative phosphorylation. In turn, patients who suffer frequent exacerbations show dysregulation of the phospholipid, purine, amino acid, and ATP-binding cassette carrier (ABC) metabolism, while those patients characterized by showing a high number of blood eosinophils mostly exhibit changes in the metabolism of eicosanoids and certain cytokines, as well as a strong energy consumption. Moreover, specific metabolic changes linked to the age or the sex of COPD patients have also been described. However, the profiles and models that have already been proposed are not clearly defined and most still lack validation. For this reason, more studies should be carried out to allow the translation of the metabolomic results to the clinical management of COPD patients.

In this Special Issue, we aim to include studies that cover cell biology and physiology, molecular biology, and biophysics of Chronic Obstructive Pulmonary Disease.

Prof. Dr. Joaquim Gea Guiral
Guest Editor

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Keywords

  • COPD
  • phenotypes
  • metabolites
  • biomarkers
  • inflammation
  • energy production
  • protein catabolism
  • phospholipids
  • peptides

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Published Papers (3 papers)

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Research

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17 pages, 975 KiB  
Article
Proteomic Blood Profiles Obtained by Totally Blind Biological Clustering in Stable and Exacerbated COPD Patients
by Cesar Jessé Enríquez-Rodríguez, Sergi Pascual-Guardia, Carme Casadevall, Oswaldo Antonio Caguana-Vélez, Diego Rodríguez-Chiaradia, Esther Barreiro and Joaquim Gea
Cells 2024, 13(10), 866; https://doi.org/10.3390/cells13100866 - 17 May 2024
Cited by 1 | Viewed by 935
Abstract
Although Chronic Obstructive Pulmonary Disease (COPD) is highly prevalent, it is often underdiagnosed. One of the main characteristics of this heterogeneous disease is the presence of periods of acute clinical impairment (exacerbations). Obtaining blood biomarkers for either COPD as a chronic entity or [...] Read more.
Although Chronic Obstructive Pulmonary Disease (COPD) is highly prevalent, it is often underdiagnosed. One of the main characteristics of this heterogeneous disease is the presence of periods of acute clinical impairment (exacerbations). Obtaining blood biomarkers for either COPD as a chronic entity or its exacerbations (AECOPD) will be particularly useful for the clinical management of patients. However, most of the earlier studies have been characterized by potential biases derived from pre-existing hypotheses in one or more of their analysis steps: some studies have only targeted molecules already suggested by pre-existing knowledge, and others had initially carried out a blind search but later compared the detected biomarkers among well-predefined clinical groups. We hypothesized that a clinically blind cluster analysis on the results of a non-hypothesis-driven wide proteomic search would determine an unbiased grouping of patients, potentially reflecting their endotypes and/or clinical characteristics. To check this hypothesis, we included the plasma samples from 24 clinically stable COPD patients, 10 additional patients with AECOPD, and 10 healthy controls. The samples were analyzed through label-free liquid chromatography/tandem mass spectrometry. Subsequently, the Scikit-learn machine learning module and K-means were used for clustering the individuals based solely on their proteomic profiles. The obtained clusters were confronted with clinical groups only at the end of the entire procedure. Although our clusters were unable to differentiate stable COPD patients from healthy individuals, they segregated those patients with AECOPD from the patients in stable conditions (sensitivity 80%, specificity 79%, and global accuracy, 79.4%). Moreover, the proteins involved in the blind grouping process to identify AECOPD were associated with five biological processes: inflammation, humoral immune response, blood coagulation, modulation of lipid metabolism, and complement system pathways. Even though the present results merit an external validation, our results suggest that the present blinded approach may be useful to segregate AECOPD from stability in both the clinical setting and trials, favoring more personalized medicine and clinical research. Full article
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Review

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16 pages, 741 KiB  
Review
Exploring the Potential Role of Metabolomics in COPD: A Concise Review
by Claudio Tirelli, Sabrina Mira, Luca Alessandro Belmonte, Federica De Filippi, Mauro De Grassi, Marta Italia, Sara Maggioni, Gabriele Guido, Michele Mondoni, Giorgio Walter Canonica and Stefano Centanni
Cells 2024, 13(6), 475; https://doi.org/10.3390/cells13060475 - 7 Mar 2024
Cited by 1 | Viewed by 1608
Abstract
Chronic Obstructive Pulmonary Disease (COPD) is a pathological condition of the respiratory system characterized by chronic airflow obstruction, associated with changes in the lung parenchyma (pulmonary emphysema), bronchi (chronic bronchitis) and bronchioles (small airways disease). In the last years, the importance of phenotyping [...] Read more.
Chronic Obstructive Pulmonary Disease (COPD) is a pathological condition of the respiratory system characterized by chronic airflow obstruction, associated with changes in the lung parenchyma (pulmonary emphysema), bronchi (chronic bronchitis) and bronchioles (small airways disease). In the last years, the importance of phenotyping and endotyping COPD patients has strongly emerged. Metabolomics refers to the study of metabolites (both intermediate or final products) and their biological processes in biomatrices. The application of metabolomics to respiratory diseases and, particularly, to COPD started more than one decade ago and since then the number of scientific publications on the topic has constantly grown. In respiratory diseases, metabolomic studies have focused on the detection of metabolites derived from biomatrices such as exhaled breath condensate, bronchoalveolar lavage, and also plasma, serum and urine. Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy are powerful tools in the precise identification of potentially prognostic and treatment response biomarkers. The aim of this article was to comprehensively review the relevant literature regarding the applications of metabolomics in COPD, clarifying the potential clinical utility of the metabolomic profile from several biologic matrices in detecting biomarkers of disease and prognosis for COPD. Meanwhile, a complete description of the technological instruments and techniques currently adopted in the metabolomics research will be described. Full article
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Other

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25 pages, 16017 KiB  
Systematic Review
Arginine, Transsulfuration, and Folic Acid Pathway Metabolomics in Chronic Obstructive Pulmonary Disease: A Systematic Review and Meta-Analysis
by Angelo Zinellu and Arduino A. Mangoni
Cells 2023, 12(17), 2180; https://doi.org/10.3390/cells12172180 - 30 Aug 2023
Cited by 4 | Viewed by 1853
Abstract
There is an increasing interest in biomarkers of nitric oxide dysregulation and oxidative stress to guide management and identify new therapeutic targets in patients with chronic obstructive pulmonary disease (COPD). We conducted a systematic review and meta-analysis of the association between circulating metabolites [...] Read more.
There is an increasing interest in biomarkers of nitric oxide dysregulation and oxidative stress to guide management and identify new therapeutic targets in patients with chronic obstructive pulmonary disease (COPD). We conducted a systematic review and meta-analysis of the association between circulating metabolites within the arginine (arginine, citrulline, ornithine, asymmetric, ADMA, and symmetric, SDMA dimethylarginine), transsulfuration (methionine, homocysteine, and cysteine) and folic acid (folic acid, vitamin B6, and vitamin B12) metabolic pathways and COPD. We searched electronic databases from inception to 30 June 2023 and assessed the risk of bias and the certainty of evidence. In 21 eligible studies, compared to healthy controls, patients with stable COPD had significantly lower methionine (standardized mean difference, SMD = −0.50, 95% CI −0.95 to −0.05, p = 0.029) and folic acid (SMD = −0.37, 95% CI −0.65 to −0.09, p = 0.009), and higher homocysteine (SMD = 0.78, 95% CI 0.48 to 1.07, p < 0.001) and cysteine concentrations (SMD = 0.34, 95% CI 0.02 to 0.66, p = 0.038). Additionally, COPD was associated with significantly higher ADMA (SMD = 1.27, 95% CI 0.08 to 2.46, p = 0.037), SDMA (SMD = 3.94, 95% CI 0.79 to 7.08, p = 0.014), and ornithine concentrations (SMD = 0.67, 95% CI 0.13 to 1.22, p = 0.015). In subgroup analysis, the SMD of homocysteine was significantly associated with the biological matrix assessed and the forced expiratory volume in the first second to forced vital capacity ratio, but not with age, study location, or analytical method used. Our study suggests that the presence of significant alterations in metabolites within the arginine, transsulfuration, and folic acid pathways can be useful for assessing nitric oxide dysregulation and oxidative stress and identifying novel treatment targets in COPD. (PROSPERO registration number: CRD42023448036.) Full article
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