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Tirelli C, Mira S, Belmonte LA, De Filippi F, De Grassi M, Italia M, Maggioni S, Guido G, Mondoni M, Canonica GW, Centanni S. Exploring the Potential Role of Metabolomics in COPD: A Concise Review. Cells 2024; 13:475. [PMID: 38534319 DOI: 10.3390/cells13060475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 02/23/2024] [Accepted: 03/05/2024] [Indexed: 03/28/2024] Open
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 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.
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Affiliation(s)
- Claudio Tirelli
- Respiratory Unit, ASST Santi Paolo e Carlo, Department of Health Sciences, University of Milan, 20142 Milan, Italy
| | - Sabrina Mira
- Respiratory Unit, ASST Santi Paolo e Carlo, Department of Health Sciences, University of Milan, 20142 Milan, Italy
| | - Luca Alessandro Belmonte
- Respiratory Unit, ASST Santi Paolo e Carlo, Department of Health Sciences, University of Milan, 20142 Milan, Italy
| | - Federica De Filippi
- Respiratory Unit, ASST Santi Paolo e Carlo, Department of Health Sciences, University of Milan, 20142 Milan, Italy
| | - Mauro De Grassi
- Respiratory Unit, ASST Santi Paolo e Carlo, Department of Health Sciences, University of Milan, 20142 Milan, Italy
| | - Marta Italia
- Respiratory Unit, ASST Santi Paolo e Carlo, Department of Health Sciences, University of Milan, 20142 Milan, Italy
| | - Sara Maggioni
- Respiratory Unit, ASST Santi Paolo e Carlo, Department of Health Sciences, University of Milan, 20142 Milan, Italy
| | - Gabriele Guido
- Respiratory Unit, ASST Santi Paolo e Carlo, Department of Health Sciences, University of Milan, 20142 Milan, Italy
| | - Michele Mondoni
- Respiratory Unit, ASST Santi Paolo e Carlo, Department of Health Sciences, University of Milan, 20142 Milan, Italy
| | - Giorgio Walter Canonica
- Personalized Medicine, Asthma and Allergy, IRCCS Humanitas Clinical and Research Center, 20089 Rozzano, Italy
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy
| | - Stefano Centanni
- Respiratory Unit, ASST Santi Paolo e Carlo, Department of Health Sciences, University of Milan, 20142 Milan, Italy
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Paris D, Palomba L, Tramice A, Motta L, Fuschillo S, Maniscalco M, Motta A. Identification of biomarkers in COPD by metabolomics of exhaled breath condensate and serum/plasma. Minerva Med 2022; 113:424-435. [PMID: 35191295 DOI: 10.23736/s0026-4806.22.07957-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Chronic obstructive pulmonary disease (COPD) is the third cause of death worldwide, presenting poor long-term outcomes and chronic disability. COPD is a condition with a wide spectrum of clinical presentations because its pathophysiological determinants relate to tobacco smoke, genetic factors, alteration of several metabolic pathways, and oxidative stress. As a consequence, patients present different phenotypes even with comparable degrees of airflow limitation. Because of the increasing social and economic costs of COPD, a growing attention is currently payed to "omics" techniques for more personalized treatments and patient-tailored rehabilitation programs. In this regard, the systematic investigation of the metabolome (i.e., the whole set of endogenous molecules) in biomatrices, namely metabolomics, has become indispensable for phenotyping respiratory diseases. The metabolomic profiling of biological samples contains the small molecules produced during biological processes and their identification and quantification help in the diagnosis, comprehension of disease outcome and treatment response. Exhaled breath condensate (EBC), plasma and serum are biofluids readily available, with negligible invasiveness, and, therefore, suitable for metabolomics investigations. In this paper, we describe the latest advances on metabolomic profiling of EBC, plasma and serum in COPD patients.
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Affiliation(s)
- Debora Paris
- Institute of Biomolecular Chemistry, National Research Council, Pozzuoli, Napoli, Italy
| | - Letizia Palomba
- Department of Biomolecular Sciences, University Carlo Bo, Urbino, Italy
| | - Annabella Tramice
- Institute of Biomolecular Chemistry, National Research Council, Pozzuoli, Napoli, Italy
| | - Lorenzo Motta
- Section of Radiology, Department of Morphology, Surgery and Experimental Medicine, University of Ferrara, Ferrara, Italy
| | - Salvatore Fuschillo
- Pulmonary Rehabilitation Division of the Telese Terme Institute, Istituti Clinici Scientifici Maugeri IRCCS, Telese Terme, Benevento, Italy
| | - Mauro Maniscalco
- Pulmonary Rehabilitation Division of the Telese Terme Institute, Istituti Clinici Scientifici Maugeri IRCCS, Telese Terme, Benevento, Italy
| | - Andrea Motta
- Institute of Biomolecular Chemistry, National Research Council, Pozzuoli, Napoli, Italy -
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Metabolomics of COPD Pulmonary Rehabilitation Outcomes via Exhaled Breath Condensate. Cells 2022; 11:cells11030344. [PMID: 35159156 PMCID: PMC8834302 DOI: 10.3390/cells11030344] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Revised: 01/16/2022] [Accepted: 01/17/2022] [Indexed: 01/02/2023] Open
Abstract
Chronic obstructive pulmonary disease (COPD) is characterized by different phenotypes and clinical presentations. Therefore, a single strategy of pulmonary rehabilitation (PR) does not always yield the expected clinical outcomes as some individuals respond excellently, others discreetly, or do not respond at all. Fifty consecutive COPD patients were enrolled. Of them, 35 starting a 5-week PR program were sampled at admission (T0), after 2 (T2W) and 5 (T5W) weeks, while 15 controls not yet on PR were tested at T0 and T5W. Nuclear magnetic resonance (NMR) profiling of exhaled breath condensate (EBC) and multivariate statistical analysis were applied to investigate the relationship between biomarkers and clinical parameters. The model including the three classes correctly located T2W between T0 and T5W, but 38.71% of samples partially overlapped with T0 and 32.26% with T5W, suggesting that for some patients PR is already beneficial at T2W (32.26% overlapping with T5W), while for others (38.71% overlapping with T0) more time is required. Rehabilitated patients presented several altered biomarkers. In particular, methanol from T0 to T5W decreased in parallel with dyspnea and fatigue, while the walk distance increased. Methanol could be ascribed to lung inflammation. We demonstrated that the metabolic COPD phenotype clearly evolves during PR, with a strict relationship between clinical and molecular parameters. Methanol, correlating with clinical parameters, represents a useful biomarker for monitoring personalized outcomes and establishing more targeted protocols.
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Metabolomics Diagnosis of COVID-19 from Exhaled Breath Condensate. Metabolites 2021; 11:metabo11120847. [PMID: 34940605 PMCID: PMC8708149 DOI: 10.3390/metabo11120847] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 11/30/2021] [Accepted: 12/01/2021] [Indexed: 12/14/2022] Open
Abstract
Infection from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can lead to severe respiratory tract damage and acute lung injury. Therefore, it is crucial to study breath-associated biofluids not only to investigate the breath's biochemical changes caused by SARS-CoV-2 infection, but also to discover potential biomarkers for the development of new diagnostic tools. In the present study, we performed an untargeted metabolomics approach using a bidimensional gas chromatography mass spectrometer (GCxGC-TOFMS) on exhaled breath condensate (EBC) from COVID-19 patients and negative healthy subjects to identify new potential biomarkers for the noninvasive diagnosis and monitoring of the COVID-19 disease. The EBC analysis was further performed in patients with acute or acute-on-chronic cardiopulmonary edema (CPE) to assess the reliability of the identified biomarkers. Our findings demonstrated that an abundance of EBC fatty acids can be used to discriminate COVID-19 patients and that they may have a protective effect, thus suggesting their potential use as a preventive strategy against the infection.
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Fuschillo S, Paris D, Tramice A, Ambrosino P, Palomba L, Maniscalco M, Motta A. Metabolomic profiling of exhaled breath condensate and plasma/serum in chronic obstructive pulmonary disease. Curr Med Chem 2021; 29:2385-2398. [PMID: 34375174 DOI: 10.2174/0929867328666210810122350] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 06/13/2021] [Accepted: 06/17/2021] [Indexed: 11/22/2022]
Abstract
Chronic obstructive pulmonary disease (COPD) is an increasing cause of global morbidity and mortality, with poor long-term outcomes and chronic disability. COPD is a condition with a wide spectrum of clinical presentations, with different phenotypes being identified even among patients with comparable degrees of airflow limitation. Considering the burden of COPD in terms of social and economic costs, in recent years a growing attention has been given to the need of more personalized approaches and patient-tailored rehabilitation programs. In this regard, the systematic analysis of metabolites in biological matrices, namely metabolomics, may become an essential tool in phenotyping diseases. Through the identification and quantification of the small molecules produced during biological processes, metabolomic profiling of biological samples has thus been proposed as an opportunity to identify novel biomarkers of disease outcome and treatment response. Exhaled breath condensate (EBC) and plasma/serum are fluid pools, which can be easily extracted and analyzed. In this review, we discuss the potential clinical applications of the metabolomic profiling of EBC and plasma/serum in COPD.
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Affiliation(s)
- Salvatore Fuschillo
- Institute Clinici Scientifici Maugeri IRCCS, Pulmonary Rehabilitation Division of the Telese Terme Institute, 82037 Telese Terme (BN), Italy
| | - Debora Paris
- Institute of Biomolecular Chemistry, National Research Council, 80078 Pozzuoli (NA), Italy
| | - Annabella Tramice
- Institute of Biomolecular Chemistry, National Research Council, 80078 Pozzuoli (NA), Italy
| | - Pasquale Ambrosino
- Institute Clinici Scientifici Maugeri IRCCS, Pulmonary Rehabilitation Division of the Telese Terme Institute, 82037 Telese Terme (BN), Italy
| | - Letizia Palomba
- Department of Biomolecular Sciences, University "Carlo Bo", 61029 Urbino, Italy
| | - Mauro Maniscalco
- Institute Clinici Scientifici Maugeri IRCCS, Pulmonary Rehabilitation Division of the Telese Terme Institute, 82037 Telese Terme (BN), Italy
| | - Andrea Motta
- Institute of Biomolecular Chemistry, National Research Council, 80078 Pozzuoli (NA), Italy
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Połomska J, Bar K, Sozańska B. Exhaled Breath Condensate-A Non-Invasive Approach for Diagnostic Methods in Asthma. J Clin Med 2021; 10:jcm10122697. [PMID: 34207327 PMCID: PMC8235112 DOI: 10.3390/jcm10122697] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 06/04/2021] [Accepted: 06/15/2021] [Indexed: 01/08/2023] Open
Abstract
The pathophysiology of asthma has been intensively studied, but its underlying mechanisms such as airway inflammation, control of airway tone, and bronchial reactivity are still not completely explained. There is an urgent need to implement novel, non-invasive diagnostic tools that can help to investigate local airway inflammation and connect the molecular pathways with the broad spectrum of clinical manifestations of asthma. The new biomarkers of different asthma endotypes could be used to confirm diagnosis, predict asthma exacerbations, or evaluate treatment response. In this paper, we briefly describe the characteristics of exhaled breath condensate (EBC) that is considered to be an interesting source of biomarkers of lung disorders. We look at the composition of EBC, some aspects of the collection procedure, the proposed biomarkers for asthma, and its clinical implications. We also indicate the limitations of the method and potential strategies to standardize the procedure of EBC collection and analytical methods.
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Khoubnasabjafari M, Mogaddam MRA, Rahimpour E, Soleymani J, Saei AA, Jouyban A. Breathomics: Review of Sample Collection and Analysis, Data Modeling and Clinical Applications. Crit Rev Anal Chem 2021; 52:1461-1487. [PMID: 33691552 DOI: 10.1080/10408347.2021.1889961] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Metabolomics research is rapidly gaining momentum in disease diagnosis, on top of other Omics technologies. Breathomics, as a branch of metabolomics is developing in various frontiers, for early and noninvasive monitoring of disease. This review starts with a brief introduction to metabolomics and breathomics. A number of important technical issues in exhaled breath collection and factors affecting the sampling procedures are presented. We review the recent progress in metabolomics approaches and a summary of their applications on the respiratory and non-respiratory diseases investigated by breath analysis. Recent reports on breathomics studies retrieved from Scopus and Pubmed were reviewed in this work. We conclude that analyzing breath metabolites (both volatile and nonvolatile) is valuable in disease diagnoses, and therefore believe that breathomics will turn into a promising noninvasive discipline in biomarker discovery and early disease detection in personalized medicine. The problem of wide variations in the reported metabolite concentrations from breathomics studies should be tackled by developing more accurate analytical methods and sophisticated numerical analytical alogorithms.
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Affiliation(s)
- Maryam Khoubnasabjafari
- Tuberculosis and Lung Diseases Research Center and Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.,Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mohamad Reza Afshar Mogaddam
- Food and Drug Safety Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.,Pharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Elaheh Rahimpour
- Pharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran.,Biotechnology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Jafar Soleymani
- Pharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran.,Liver and Gastrointestinal Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Amir Ata Saei
- Department of Medical Biochemistry and Biophysics, Division of Physiological Chemistry I, Karolinska Institutet, Stockholm, Sweden
| | - Abolghasem Jouyban
- Food and Drug Safety Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.,School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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NMR Profiling of Exhaled Breath Condensate Defines Different Metabolic Phenotypes of Non-Cystic Fibrosis Bronchiectasis. Int J Mol Sci 2020; 21:ijms21228600. [PMID: 33202684 PMCID: PMC7698311 DOI: 10.3390/ijms21228600] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 11/06/2020] [Accepted: 11/10/2020] [Indexed: 12/16/2022] Open
Abstract
Nuclear-magnetic-resonance (NMR) profiling of exhaled breath condensate (EBC) provides insights into the pathophysiology of bronchiectasis by identifying specific biomarkers. We evaluated whether NMR-based metabolomics discriminates the EBC-derived metabolic phenotypes (“metabotypes”) of 41 patients with non-cystic fibrosis (nCF) bronchiectasis of various etiology [24 subjects with Primary Ciliary Dyskinesia (PCD); 17 patients with bronchiectasis not associated with PCD (nCF/nPCD)], who were compared to 17 healthy subjects (HS). NMR was used for EBC profiling, and Orthogonal Projections to Latent Structures with partial least-squares discriminant analysis (OPLS-DA) was used as a classifier. The results were validated by using the EBC from 17 PCD patients not included in the primary analysis. Different statistical models were built, which compared nCF/nPCD and HS, PCD and HS, all classes (nCF/nPCD-PCD-HS), and, finally, PCD and nCF/nPCD. In the PCD-nCF/nPCD model, four statistically significant metabolites were able to discriminate between the two groups, with only a minor reduction of the quality parameters. In particular, for nCF/nPCD, acetone/acetoin and methanol increased by 21% and 18%, respectively. In PCD patients, ethanol and lactate increased by 25% and 28%, respectively. They are all related to lung inflammation as methanol is found in the exhaled breath of lung cancer patients, acetone/acetoin produce toxic ROS that damage lung tissue in CF, and lactate is observed in acute inflammation. Interestingly, a high concentration of ethanol hampers cilia beating and can be associated with the genetic defect of PCD. Model validation with 17 PCD samples not included in the primary analysis correctly predicted all samples. Our results indicate that NMR of EBC discriminates nCF/nPCD and PCD bronchiectasis patients from HS, and patients with nCF/nPCD from those with PCD. The metabolites responsible for between-group separation identified specific metabotypes, which characterize bronchiectasis of a different etiology.
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Exhaled Breath Condensate (EBC): Is It a Viable Source of Biomarkers for Lung Diseases? ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2020; 1195:13-18. [PMID: 32468452 DOI: 10.1007/978-3-030-32633-3_2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The exhaled breath condensate is a source of biomarkers with many advantages and benefits compared to other traditional sampling techniques in respiratory medicine. It is a biological product that is formed by cooling the exhaled air via its guidance through a condenser. It is characterized as a cocktail of volatile and non-volatile compounds with water being the predominant constituent. Its composition presents a non-uniformed structure as the volatile and the non-volatile compounds vary in type and ratio. All these compounds originate from the whole respiratory tract. Some of them fulfil the criteria to be characterized as biomarkers since there is a similarity between the content of the exhaled breath condensate and the respiratory tract lining fluid. In addition, the potential biomarkers of the exhaled breath condensate and those from other biological fluids are equivalent.Advantages and Disadvantages Its place in the respiratory medicine as a matrix of biomarkers relies on its various strengths. Some of them are very important and make it exceptional regarding its application, such as its totally non-invasive character and its usage in all ages, while others present a more potential action regarding its purpose such as the categorization of respiratory diseases. However, there are limitations in its application due to the lack of standardization of its conduct which can be minimized by following the official recommendations. Additional studies are needed to develop said standardization.Aim The aim of this paper is to present a brief and comprehensive picture of the sampling technique of the exhaled breath condensate, as well as the criteria to make it a preferred choice as a source of biomarkers.
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Insights into glucocorticoid responses derived from omics studies. Pharmacol Ther 2020; 218:107674. [PMID: 32910934 DOI: 10.1016/j.pharmthera.2020.107674] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Accepted: 08/20/2020] [Indexed: 12/26/2022]
Abstract
Glucocorticoid drugs are commonly used in the treatment of several conditions, including autoimmune diseases, asthma and cancer. Despite their widespread use and knowledge of biological pathways via which they act, much remains to be learned about the cell type-specific mechanisms of glucocorticoid action and the reasons why patients respond differently to them. In recent years, human and in vitro studies have addressed these questions with genomics, transcriptomics and other omics approaches. Here, we summarize key insights derived from omics studies of glucocorticoid response, and we identify existing knowledge gaps related to mechanisms of glucocorticoid action that future studies can address.
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Maniscalco M, Cutignano A, Paris D, Melck DJ, Molino A, Fuschillo S, Motta A. Metabolomics of Exhaled Breath Condensate by Nuclear Magnetic Resonance Spectroscopy and Mass Spectrometry: A Methodological Approach. Curr Med Chem 2020; 27:2381-2399. [DOI: 10.2174/0929867325666181008122749] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Revised: 07/30/2018] [Accepted: 08/06/2018] [Indexed: 12/15/2022]
Abstract
:
Respiratory diseases present a very high prevalence in the general population, with an
increase in morbidity, mortality and health-care expenses worldwide. They are complex and heterogeneous
pathologies that may present different pathological facets in different subjects, often
with personal evolution. Therefore, there is a need to identify patients with similar characteristics,
prognosis or treatment, defining the so-called phenotype, but also to mark specific differences
within each phenotype, defining the endotypes.
:
Biomarkers are very useful to study respiratory phenotypes and endotypes. Metabolomics, one of
the recently introduced “omics”, is becoming a leading technique for biomarker discovery. For the
airways, metabolomics appears to be well suited as the respiratory tract offers a natural matrix, the
Exhaled Breath Condensate (EBC), in which several biomarkers can be measured. In this review,
we will discuss the main methodological issues related to the application of Nuclear Magnetic
Resonance (NMR) spectroscopy and Mass Spectrometry (MS) to EBC metabolomics for investigating
respiratory diseases.
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Affiliation(s)
- Mauro Maniscalco
- Pulmonary Rehabilitation Unit, ICS Maugeri SpA IRCCS, Via Bagni Vecchi 1, 82037 Telese Terme (Benevento), Italy
| | - Adele Cutignano
- Institute of Biomolecular Chemistry, National Research Council, Via Campi Flegrei 34, Comprensorio Olivetti Edificio A, 80078 Pozzuoli (Naples), Italy
| | - Debora Paris
- Institute of Biomolecular Chemistry, National Research Council, Via Campi Flegrei 34, Comprensorio Olivetti Edificio A, 80078 Pozzuoli (Naples), Italy
| | - Dominique J. Melck
- Institute of Biomolecular Chemistry, National Research Council, Via Campi Flegrei 34, Comprensorio Olivetti Edificio A, 80078 Pozzuoli (Naples), Italy
| | - Antonio Molino
- Department of Respiratory Medicine, University Federico II, 80131 Naples, Italy
| | - Salvatore Fuschillo
- Pulmonary Rehabilitation Unit, ICS Maugeri SpA IRCCS, Via Bagni Vecchi 1, 82037 Telese Terme (Benevento), Italy
| | - Andrea Motta
- Institute of Biomolecular Chemistry, National Research Council, Via Campi Flegrei 34, Comprensorio Olivetti Edificio A, 80078 Pozzuoli (Naples), Italy
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Sauvain JJ, Edmé JL, Wild P, Suarez G, Bezerra OMPA, Talvani A, Algranti E, Carneiro APS, Chérot-Kornobis N, Sobaszek A, Hulo S. Does exposure to inflammatory particles modify the pattern of anion in exhaled breath condensate? J Breath Res 2020; 14:026005. [PMID: 31783386 DOI: 10.1088/1752-7163/ab5d88] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Exposure to environmental and occupational particulate matter (PM) induces health effects on the cardio-pulmonary system. In addition, associations between exposure to PM and metabolic syndromes like diabetes mellitus or obesity are now emerging in the literature. Collection of exhaled breath condensate (EBC) is an appealing non-invasive technique to sample pulmonary fluids. This hypothesis-generating study aims to (1) validate an ion chromatography method allowing the robust determination of different metabolism-related molecules (lactate, formate, acetate, propionate, butyrate, pyruvate, nitrite, nitrate) in EBC; (2) apply this method to EBC samples collected from workers exposed to quartz (a known inflammatory particle), to soapstone (a less inflammatory particle than quartz), as well as to controls. A multi-compound standard solution was used to determine the linearity range, detection limit, repeatability and bias from spiked EBC. The biological samples were injected without further treatment into an ion chromatograph with a conductivity detector. RTube® were used for field collection of EBC from 11 controls, 55 workers exposed to soapstone and 12 volunteers exposed to quartz dust. The analytical method used proved to be adequate for quantifying eight anions in EBC samples. Its sub-micromolar detection limits and repeatability, combined with a very simple sample preparation, allowed an easy and fast quantification of different glycolysis or nitrosative stress metabolites. Using multivariate discriminant analysis to maximize differences between groups, we observed a different pattern of anions with a higher formate/acetate ratio in the EBC samples for quartz exposed workers compared to the two other groups. We hypothesize that a modification of the metabolic signature could be induced by exposure to inflammatory particles like quartz and might be observed in the EBC via a change in the formate/acetate ratio.
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Affiliation(s)
- J-J Sauvain
- Center for Primary Care and Public Health (Unisanté), Department of Occupational and Environmental Health, University of Lausanne, Switzerland
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Biomonitoring of workers using nuclear magnetic resonance-based metabolomics of exhaled breath condensate: A pilot study. Toxicol Lett 2018; 298:4-12. [DOI: 10.1016/j.toxlet.2018.10.018] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Revised: 09/27/2018] [Accepted: 10/16/2018] [Indexed: 12/17/2022]
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Clinical metabolomics of exhaled breath condensate in chronic respiratory diseases. Adv Clin Chem 2018; 88:121-149. [PMID: 30612604 DOI: 10.1016/bs.acc.2018.10.002] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Chronic respiratory diseases (CRDs) are complex multifactorial disorders involving the airways and other lung structures. The development of reliable markers for an early and accurate diagnosis, including disease phenotype, and prediction of the response and/or adherence to treatment prescribed are essential points for the correct management of CRDs. Beside the traditional techniques to detect biomarkers, "omics" sciences have stimulated interest in clinical field as they could potentially improve the study of disease phenotype. Perturbations in a variety of metabolic and signaling pathways could contribute an understanding of CRDs pathogenesis. In particular, metabolomics provides powerful tools to map biological perturbations and their relationship with disease pathogenesis. The exhaled breath condensate (EBC) is a natural matrix of the respiratory tract, and is well suited for metabolomics studies. In this article, we review the current state of metabolomics methodology applied to EBC in the study of CRDs.
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