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Guida G, Bagnasco D, Carriero V, Bertolini F, Ricciardolo FLM, Nicola S, Brussino L, Nappi E, Paoletti G, Canonica GW, Heffler E. Critical evaluation of asthma biomarkers in clinical practice. Front Med (Lausanne) 2022; 9:969243. [PMID: 36300189 PMCID: PMC9588982 DOI: 10.3389/fmed.2022.969243] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 08/29/2022] [Indexed: 11/13/2022] Open
Abstract
The advent of personalized medicine has revolutionized the whole approach to the management of asthma, representing the essential basis for future developments. The cornerstones of personalized medicine are the highest precision in diagnosis, individualized prediction of disease evolution, and patient-tailored treatment. To this aim, enormous efforts have been established to discover biomarkers able to predict patients' phenotypes according to clinical, functional, and bio-humoral traits. Biomarkers are objectively measured characteristics used as indicators of biological or pathogenic processes or clinical responses to specific therapeutic interventions. The diagnosis of type-2 asthma, prediction of response to type-2 targeted treatments, and evaluation of the risk of exacerbation and lung function impairment have been associated with biomarkers detectable either in peripheral blood or in airway samples. The surrogate nature of serum biomarkers, set up to be less invasive than sputum analysis or bronchial biopsies, has shown several limits concerning their clinical applicability. Routinely used biomarkers, like peripheral eosinophilia, total IgE, or exhaled nitric oxide, result, even when combined, to be not completely satisfactory in segregating different type-2 asthma phenotypes, particularly in the context of severe asthma where the choice among different biologics is compelling. Moreover, the type-2 low fraction of patients is not only an orphan of biological treatments but is at risk of being misdiagnosed due to the low negative predictive value of type-2 high biomarkers. Sputum inflammatory cell analysis, considered the highest specific biomarker in discriminating eosinophilic inflammation in asthma, and therefore elected as the gold standard in clinical trials and research models, demonstrated many limits in clinical applicability. Many factors may influence the measure of these biomarkers, such as corticosteroid intake, comorbidities, and environmental exposures or habits. Not least, biomarkers variability over time is a confounding factor leading to wrong clinical choices. In this narrative review, we try to explore many aspects concerning the role of routinely used biomarkers in asthma, applying a critical view over the "state of the art" and contemporarily offering an overview of the most recent evidence in this field.
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Affiliation(s)
- Giuseppe Guida
- Severe Asthma and Rare Lung Disease Unit, Department of Clinical and Biological Sciences, San Luigi Gonzaga University Hospital, University of Torino, Turin, Italy
| | - Diego Bagnasco
- Allergy and Respiratory Diseases, IRCCS Policlinico San Martino, Department of Internal Medicine (DIMI), University of Genoa, Genoa, Italy
| | - Vitina Carriero
- Severe Asthma and Rare Lung Disease Unit, Department of Clinical and Biological Sciences, San Luigi Gonzaga University Hospital, University of Torino, Turin, Italy
| | - Francesca Bertolini
- Severe Asthma and Rare Lung Disease Unit, Department of Clinical and Biological Sciences, San Luigi Gonzaga University Hospital, University of Torino, Turin, Italy
| | - Fabio Luigi Massimo Ricciardolo
- Severe Asthma and Rare Lung Disease Unit, Department of Clinical and Biological Sciences, San Luigi Gonzaga University Hospital, University of Torino, Turin, Italy
| | - Stefania Nicola
- Allergy and Immunology, AO Mauriziano Hospital, University of Turin, Turin, Italy
| | - Luisa Brussino
- Allergy and Immunology, AO Mauriziano Hospital, University of Turin, Turin, Italy
| | - Emanuele Nappi
- IRCCS Humanitas Research Hospital, Milan, Italy
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
| | - Giovanni Paoletti
- IRCCS Humanitas Research Hospital, Milan, Italy
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
| | - Giorgio Walter Canonica
- IRCCS Humanitas Research Hospital, Milan, Italy
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
| | - Enrico Heffler
- IRCCS Humanitas Research Hospital, Milan, Italy
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
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2
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Eckel SP, Garcia E, Gilliland FD. Predicting asthma exacerbations: is there utility in noninvasive assessment of distal airway inflammation using multiple flow FENO? Eur Respir J 2022. [DOI: 10.1183/13993003.00802-2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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3
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Kim GE, Park MR, Jung JH, Kim SY, Kim MJ, Kim YH, Kim KW, Sohn MH. Usefulness of extended nitric oxide analysis in children with allergic rhinitis. J Asthma 2020; 59:739-745. [PMID: 33210567 DOI: 10.1080/02770903.2020.1845724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
OBJECTIVE Evaluation of airway inflammation and dysfunction is important in management of allergic rhinitis (AR) since AR is a risk factor for developing asthma. Theoretical nonlinear modeling of exhaled nitric oxide (NO) has revealed extended flow-independent NO parameters that could explain where or how NO metabolism was altered. We aimed to evaluate the association between extended NO parameters and bronchial hyperresponsiveness (BHR) in children with AR. METHODS Exhaled NO was measured in 74 children with AR on the same day they underwent the provocholine challenge test (PCT). Extended NO was measured in three different exhaled flow rates (30, 100, 200 mL/s) and calculated using the Högman-Meriläinen model. We compared the extended NO parameters including bronchial NO (JawNO), airway tissue NO (CawNO), alveolar tissue NO (CaNO), and diffusing capacity of NO (DawNO) between AR with and without BHR groups, and analyzed the correlation between extended NO parameters and the response-dose ratio (RDR) of the PCT. We additionally evaluated 49 respiratory healthy controls. RESULTS Among the 74 children with AR, nine showed BHR. JawNO increased more in children with AR than the control group. In children with AR, JawNO was higher in the AR with BHR than without BHR group, and was correlated positively with log RDR (r = 0.373, p = .001). CONCLUSIONS Extended NO analysis including JawNO can be a useful tool for assessing BHR in AR.
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Affiliation(s)
- Ga Eun Kim
- Department of Pediatrics, Institute of Allergy, Institute for Immunology and Immunological Diseases, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea.,Severance Hospital, Seoul, Korea
| | - Mi Reu Park
- Department of Pediatrics, Institute of Allergy, Institute for Immunology and Immunological Diseases, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea.,Severance Hospital, Seoul, Korea
| | - Jae Hwa Jung
- Department of Pediatrics, Institute of Allergy, Institute for Immunology and Immunological Diseases, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea.,Severance Hospital, Seoul, Korea
| | - Soo Yeon Kim
- Department of Pediatrics, Institute of Allergy, Institute for Immunology and Immunological Diseases, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea.,Severance Hospital, Seoul, Korea
| | - Min Jung Kim
- Department of Pediatrics, Institute of Allergy, Institute for Immunology and Immunological Diseases, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea.,Severance Hospital, Seoul, Korea
| | - Yoon Hee Kim
- Department of Pediatrics, Institute of Allergy, Institute for Immunology and Immunological Diseases, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea.,Gangnam Severance Hospital, Seoul, Korea
| | - Kyung Won Kim
- Department of Pediatrics, Institute of Allergy, Institute for Immunology and Immunological Diseases, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea.,Severance Hospital, Seoul, Korea
| | - Myung Hyun Sohn
- Department of Pediatrics, Institute of Allergy, Institute for Immunology and Immunological Diseases, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea.,Severance Hospital, Seoul, Korea
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4
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Muchmore P, Xu S, Marjoram P, Rappaport EB, Weng J, Molshatzki N, Eckel SP. Impact of different fixed flow sampling protocols on flow-independent exhaled nitric oxide parameter estimates using the Bayesian dynamic two-compartment model. Physiol Rep 2020; 8:e14336. [PMID: 31960619 PMCID: PMC6971414 DOI: 10.14814/phy2.14336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Exhaled nitric oxide (FeNO) is an established respiratory biomarker with clinical applications in the diagnosis and management of asthma. Because FeNO depends strongly on the flow (exhalation) rate, early protocols specified that measurements should be taken when subjects exhaled at a fixed rate of 50 ml/s. Subsequently, multiple flow (or "extended") protocols were introduced which measure FeNO across a range of fixed flow rates, allowing estimation of parameters including Caw NO and CA NO which partition the physiological sources of NO into proximal airway wall tissue and distal alveolar regions (respectively). A recently developed dynamic model of FeNO uses flow-concentration data from the entire exhalation maneuver rather than plateau means, permitting estimation of Caw NO and CA NO from a wide variety of protocols. In this paper, we use a simulation study to compare Caw NO and CA NO estimation from a variety of fixed flow protocols, including: single maneuvers (30, 50,100, or 300 ml/s) and three established multiple maneuver protocols. We quantify the improved precision with multiple maneuvers and the importance of low flow maneuvers in estimating Caw NO. We conclude by applying the dynamic model to FeNO data from 100 participants of the Southern California Children's Health Study, establishing the feasibility of using the dynamic method to reanalyze archived online FeNO data and extract new information on Caw NO and CA NO in situations where these estimates would have been impossible to obtain using traditional steady-state two compartment model estimation methods.
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Affiliation(s)
- Patrick Muchmore
- Department of Preventive MedicineUniversity of Southern CaliforniaLos AngelesCAUSA
| | - Shujing Xu
- Department of Preventive MedicineUniversity of Southern CaliforniaLos AngelesCAUSA
| | - Paul Marjoram
- Department of Preventive MedicineUniversity of Southern CaliforniaLos AngelesCAUSA
| | - Edward B. Rappaport
- Department of Preventive MedicineUniversity of Southern CaliforniaLos AngelesCAUSA
| | - Jingying Weng
- Department of Preventive MedicineUniversity of Southern CaliforniaLos AngelesCAUSA
| | - Noa Molshatzki
- Department of Preventive MedicineUniversity of Southern CaliforniaLos AngelesCAUSA
| | - Sandrah P. Eckel
- Department of Preventive MedicineUniversity of Southern CaliforniaLos AngelesCAUSA
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5
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Alcázar-Navarrete B, Castellano Miñán F, Santiago Díaz P, Ruiz Rodríguez O, Romero Palacios PJ. Alveolar and Bronchial Nitric Oxide in Chronic Obstructive Pulmonary Disease and Asthma–COPD Overlap. ACTA ACUST UNITED AC 2018. [DOI: 10.1016/j.arbr.2018.06.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
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6
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Alveolar and Bronchial Nitric Oxide in Chronic Obstructive Pulmonary Disease and Asthma-COPD Overlap. Arch Bronconeumol 2018; 54:414-419. [PMID: 29627118 DOI: 10.1016/j.arbres.2018.02.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2017] [Revised: 01/30/2018] [Accepted: 02/01/2018] [Indexed: 12/31/2022]
Abstract
INTRODUCTION Exhaled nitric oxide (FENO) measurements differentiate COPD phenotypes from asthma-COPD overlap (ACO). To date, no study has been conducted to determine whether alveolar and bronchial components differ in this group of patients. METHODS This was an observational cross-sectional study recruiting ambulatory COPD patients. FENO was measured, differentiating alveolar (CANO) from bronchial (JawNO) components using a multiple-flow technique. CANO and JawNO values were compared between eosinophilic COPD patients (defined as ≥ 300 eosinophils/μL in peripheral blood test, or ≥ 2% eosinophils or ≥ 3% eosinophils), and a linear regression analysis was performed to determine clinical and biological variables related to these measurements. RESULTS 73 COPD patients were included in the study. Eosinophil counts were associated with increased values of CANO and JawNO (for the latter only the association with ≥ 300 or ≥ 3% eosinophils was significant). CANO was also associated with CRP, and JawNO with smoking. CONCLUSIONS Patients with COPD and ACO characteristics show increased inflammation in the large and small airways. CANO and JawNO are associated with clinical and biological variables.
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7
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Villaseñor A, Rosace D, Obeso D, Pérez-Gordo M, Chivato T, Barbas C, Barber D, Escribese MM. Allergic asthma: an overview of metabolomic strategies leading to the identification of biomarkers in the field. Clin Exp Allergy 2017; 47:442-456. [PMID: 28160515 DOI: 10.1111/cea.12902] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Allergic asthma is a prominent disease especially during childhood. Indoor allergens, in general, and particularly house dust mites (HDM) are the most prevalent sensitizers associated with allergic asthma. Available data show that 65-130 million people are mite-sensitized world-wide and as many as 50% of these are asthmatic. In fact, sensitization to HDM in the first years of life can produce devastating effects on pulmonary function leading to asthmatic syndromes that can be fatal. To date, there has been considerable research into the pathological pathways and structural changes associated with allergic asthma. However, limitations related to the disease heterogeneity and a lack of knowledge into its pathophysiology have impeded the generation of valuable data needed to appropriately phenotype patients and, subsequently, treat this disease. Here, we report a systematic and integral analysis of the disease, from airway remodelling to the immune response taking place throughout the disease stages. We present an overview of metabolomics, the management of complex multifactorial diseases through the analysis of all possible metabolites in a biological sample, obtaining a global interpretation of biological systems. Special interest is placed on the challenges to obtain biological samples and the methodological aspects to acquire relevant information, focusing on the identification of novel biomarkers associated with specific phenotypes of allergic asthma. We also present an overview of the metabolites cited in the literature, which have been related to inflammation and immune response in asthma and other allergy-related diseases.
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Affiliation(s)
- A Villaseñor
- Faculty of Medicine, Institute of Applied Molecular Medicine (IMMA), CEU San Pablo University, Boadilla del Monte, Madrid, Spain
| | - D Rosace
- Faculty of Medicine, Institute of Applied Molecular Medicine (IMMA), CEU San Pablo University, Boadilla del Monte, Madrid, Spain
| | - D Obeso
- Faculty of Medicine, Institute of Applied Molecular Medicine (IMMA), CEU San Pablo University, Boadilla del Monte, Madrid, Spain.,Faculty of Pharmacy, Centre for Metabolomics and Bioanalysis (CEMBIO), CEU San Pablo University, Boadilla del Monte, Madrid, Spain
| | - M Pérez-Gordo
- Faculty of Pharmacy, Centre for Metabolomics and Bioanalysis (CEMBIO), CEU San Pablo University, Boadilla del Monte, Madrid, Spain.,Basic Medical Sciences Department, Faculty of Medicine, CEU San Pablo University, Boadilla del Monte, Madrid, Spain
| | - T Chivato
- Basic Medical Sciences Department, Faculty of Medicine, CEU San Pablo University, Boadilla del Monte, Madrid, Spain
| | - C Barbas
- Faculty of Pharmacy, Centre for Metabolomics and Bioanalysis (CEMBIO), CEU San Pablo University, Boadilla del Monte, Madrid, Spain
| | - D Barber
- Faculty of Medicine, Institute of Applied Molecular Medicine (IMMA), CEU San Pablo University, Boadilla del Monte, Madrid, Spain
| | - M M Escribese
- Faculty of Medicine, Institute of Applied Molecular Medicine (IMMA), CEU San Pablo University, Boadilla del Monte, Madrid, Spain.,Basic Medical Sciences Department, Faculty of Medicine, CEU San Pablo University, Boadilla del Monte, Madrid, Spain
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8
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Kim YH, Sol IS, Yoon SH, Kim MJ, Kim KW, Sohn MH, Kim KE. Association of extended nitric oxide parameters with bronchial hyperresponsiveness and bronchodilator response in children with asthma. J Breath Res 2017; 11:046003. [PMID: 28656903 DOI: 10.1088/1752-7163/aa7c1f] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Theoretical non-linear modeling of exhaled nitric oxide has revealed extended flow-independent parameters that could explain where or how nitric oxide is produced in the lung and transferred to the airway gas stream. We aimed to evaluate the associations of bronchial hyperresponsiveness and bronchodilator response with extended flow-independent nitric oxide parameters. Nitric oxide (30, 50, 100, 200 ml s-1) was measured in 432 children with asthma on the same day with either a methacholine challenge test (n = 156) or spirometry with bronchodilator (n = 276; 96 previously diagnosed with asthma and treated with inhaled corticosteroid, 37 with acute exacerbation treated with systemic corticosteroid). We additionally included 107 healthy controls for evaluation of the suitability of the non-linear model of exhaled nitric oxide. In asthmatic children, the response-dose ratio of the methacholine challenge test was correlated positively with bronchial nitric oxide (JawNO) and airway tissue nitric oxide (CawNO) (r = 0.367 and r = 0.299, respectively; both p < 0.001), while the change in forced expiratory volume in 1 s, representing bronchodilator response, was associated positively with only JawNO (r = 0. 216, p < 0.001). On multiple regression, JawNO, CawNO, and the diffusing capacity of NO (DawNO) were significantly associated with the response-dose ratio. JawNO was significantly associated with change in forced expiratory volume in children with stable asthma but not those with acute exacerbation. Our findings suggest that bronchial hyperresponsiveness is associated with CawNO while factors other than airway tissue inflammation could affect bronchodilator response in children with mild asthma. Systemic corticosteroid use during asthma exacerbation could affect the association of bronchodilator response with extended nitric oxide parameters.
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Affiliation(s)
- Yoon Hee Kim
- Department of Pediatrics, Gangnam Severance Hospital, Institute of Allergy, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea
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9
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Horváth I, Barnes PJ, Loukides S, Sterk PJ, Högman M, Olin AC, Amann A, Antus B, Baraldi E, Bikov A, Boots AW, Bos LD, Brinkman P, Bucca C, Carpagnano GE, Corradi M, Cristescu S, de Jongste JC, Dinh-Xuan AT, Dompeling E, Fens N, Fowler S, Hohlfeld JM, Holz O, Jöbsis Q, Van De Kant K, Knobel HH, Kostikas K, Lehtimäki L, Lundberg J, Montuschi P, Van Muylem A, Pennazza G, Reinhold P, Ricciardolo FLM, Rosias P, Santonico M, van der Schee MP, van Schooten FJ, Spanevello A, Tonia T, Vink TJ. A European Respiratory Society technical standard: exhaled biomarkers in lung disease. Eur Respir J 2017; 49:49/4/1600965. [PMID: 28446552 DOI: 10.1183/13993003.00965-2016] [Citation(s) in RCA: 375] [Impact Index Per Article: 53.6] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2016] [Accepted: 01/09/2017] [Indexed: 12/19/2022]
Abstract
Breath tests cover the fraction of nitric oxide in expired gas (FeNO), volatile organic compounds (VOCs), variables in exhaled breath condensate (EBC) and other measurements. For EBC and for FeNO, official recommendations for standardised procedures are more than 10 years old and there is none for exhaled VOCs and particles. The aim of this document is to provide technical standards and recommendations for sample collection and analytic approaches and to highlight future research priorities in the field. For EBC and FeNO, new developments and advances in technology have been evaluated in the current document. This report is not intended to provide clinical guidance on disease diagnosis and management.Clinicians and researchers with expertise in exhaled biomarkers were invited to participate. Published studies regarding methodology of breath tests were selected, discussed and evaluated in a consensus-based manner by the Task Force members.Recommendations for standardisation of sampling, analysing and reporting of data and suggestions for research to cover gaps in the evidence have been created and summarised.Application of breath biomarker measurement in a standardised manner will provide comparable results, thereby facilitating the potential use of these biomarkers in clinical practice.
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Affiliation(s)
- Ildiko Horváth
- Dept of Pulmonology, National Korányi Institute of Pulmonology, Budapest, Hungary
| | - Peter J Barnes
- National Heart and Lung Institute, Imperial College London, Royal Brompton Hospital, London, UK
| | | | - Peter J Sterk
- Dept of Respiratory Medicine, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Marieann Högman
- Centre for Research & Development, Uppsala University/Gävleborg County Council, Gävle, Sweden
| | - Anna-Carin Olin
- Occupational and Environmental Medicine, Sahlgrenska Academy and University Hospital, Goteborg, Sweden
| | - Anton Amann
- Innsbruck Medical University, Innsbruck, Austria
| | - Balazs Antus
- Dept of Pathophysiology, National Korányi Institute of Pulmonology, Budapest, Hungary
| | | | - Andras Bikov
- Dept of Pulmonology, Semmelweis University, Budapest, Hungary
| | - Agnes W Boots
- Dept of Pharmacology and Toxicology, University of Maastricht, Maastricht, The Netherlands
| | - Lieuwe D Bos
- Intensive Care, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Paul Brinkman
- Dept of Respiratory Medicine, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Caterina Bucca
- Biomedical Sciences and Human Oncology, Universita' di Torino, Turin, Italy
| | | | | | - Simona Cristescu
- Dept of Molecular and Laser Physics, Institute for Molecules and Materials, Radboud University, Nijmegen, The Netherlands
| | - Johan C de Jongste
- Dept of Pediatrics/Respiratory Medicine, Erasmus MC-Sophia Childrens' Hospital, Rotterdam, The Netherlands
| | | | - Edward Dompeling
- Dept of Paediatrics/Family Medicine Research School CAPHRI, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Niki Fens
- Dept of Respiratory Medicine, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Stephen Fowler
- Respiratory Research Group, University of Manchester Wythenshawe Hospital, Manchester, UK
| | - Jens M Hohlfeld
- Clinical Airway Research, Fraunhofer Institute of Toxicology and Experimental Medicine (ITEM), Hannover, Germany.,Medizinische Hochschule Hannover, Hannover, Germany
| | - Olaf Holz
- Clinical Airway Research, Fraunhofer Institute of Toxicology and Experimental Medicine (ITEM), Hannover, Germany
| | - Quirijn Jöbsis
- Department of Paediatric Respiratory Medicine, Maastricht University Medical Centre (MUMC+), Maastricht, The Netherlands
| | - Kim Van De Kant
- Dept of Paediatrics/Family Medicine Research School CAPHRI, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Hugo H Knobel
- Philips Research, High Tech Campus 11, Eindhoven, The Netherlands
| | | | | | - Jon Lundberg
- Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Paolo Montuschi
- Pharmacology, Catholic University of the Sacred Heart, Rome, Italy
| | - Alain Van Muylem
- Hopital Erasme Cliniques Universitaires de Bruxelles, Bruxelles, Belgium
| | - Giorgio Pennazza
- Faculty of Engineering, University Campus Bio-Medico, Rome, Italy
| | - Petra Reinhold
- Institute of Molecular Pathogenesis, Friedrich Loeffler Institut, Jena, Germany
| | - Fabio L M Ricciardolo
- Clinic of Respiratory Disease, Dept of Clinical and Biological Sciences, University of Torino, Torino, Italy
| | - Philippe Rosias
- Dept of Paediatrics/Family Medicine Research School CAPHRI, Maastricht University Medical Centre, Maastricht, The Netherlands.,Dept of Pediatrics, Maasland Hospital, Sittard, The Netherlands
| | - Marco Santonico
- Faculty of Engineering, University Campus Bio-Medico, Rome, Italy
| | - Marc P van der Schee
- Dept of Respiratory Medicine, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | | | | | - Thomy Tonia
- European Respiratory Society, Lausanne, Switzerland
| | - Teunis J Vink
- Philips Research, High Tech Campus 11, Eindhoven, The Netherlands
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Neerincx AH, Geurts BP, van Loon J, Tiemes V, Jansen JJ, Harren FJM, Kluijtmans LAJ, Merkus PJFM, Cristescu SM, Buydens LMC, Wevers RA. Detection of Staphylococcus aureus in cystic fibrosis patients using breath VOC profiles. J Breath Res 2016; 10:046014. [PMID: 27902490 DOI: 10.1088/1752-7155/10/4/046014] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Staphylococcus aureus (S. aureus) is a common bacterium infecting children with cystic fibrosis (CF). Since current detection methods are difficult to perform in children, there is need for an alternative. This proof of concept study investigates whether breath profiles can discriminate between S. aureus infected and non-infected CF patients based on volatile organic compounds (VOCs). We collected exhaled breath of CF patients with and without S. aureus airways infections in which VOCs were identified using gas chromatography-mass spectrometry. We classified these VOC profiles with sparse partial least squares discriminant analysis. Multivariate breath VOC profiles discriminated infected from non-infected CF patients with high sensitivity (100%) and specificity (80%). We identified the nine compounds most important for this discrimination. We successfully detected S. aureus infection in CF patients, using breath VOC profiles. Nine highlighted compounds can be used as a focus point in further biomarker identification research. The results show considerable potential for non-invasive diagnosis of airway infections.
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Affiliation(s)
- A H Neerincx
- Department of Molecular and Laser Physics, Institute for Molecules and Materials, Radboud University, Nijmegen, The Netherlands. Department of Paediatrics, Amalia Children's Hospital, Radboud University Medical Center, Nijmegen, The Netherlands. Authors contributed equally to this work
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11
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Zamuruyev KO, Aksenov AA, Baird M, Pasamontes A, Parry C, Foutouhi S, Venn-Watson S, Weimer BC, Delplanque JP, Davis CE. Enhanced non-invasive respiratory sampling from bottlenose dolphins for breath metabolomics measurements. J Breath Res 2016; 10:046005. [PMID: 27689905 DOI: 10.1088/1752-7155/10/4/046005] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Chemical analysis of exhaled breath metabolites is an emerging alternative to traditional clinical testing for many physiological conditions. The main advantage of breath analysis is its inherent non-invasive nature and ease of sample collection. Therefore, there exists a great interest in further development of this method for both humans and animals. The physiology of cetaceans is exceptionally well suited for breath analysis due to their explosive breathing behavior and respiratory tract morphology. At the present time, breath analysis in cetaceans has very limited practical applications, in large part due to lack of widely adopted sampling device(s) and methodologies that are well-standardized. Here, we present an optimized design and the operating principles of a portable apparatus for reproducible collection of exhaled breath condensate from small cetaceans, such as bottlenose dolphins (Tursiops truncatus). The device design is optimized to meet two criteria: standardized collection and preservation of information-rich metabolomic content of the biological sample, and animal comfort and ease of breath sample collection. The intent is to furnish a fully-benchmarked technology that can be widely adopted by researchers and conservationists to spur further developments of breath analysis applications for marine mammal health assessments.
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Affiliation(s)
- Konstantin O Zamuruyev
- Department of Mechanical and Aerospace Engineering, One Shields Avenue, University of California, Davis, Davis, CA 95616, USA
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12
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Neerincx AH, Linders YA, Vermeulen L, Belderbos RA, Mandon J, van Mastrigt E, Pijnenburg MW, van Ingen J, Mouton JW, Kluijtmans LA, Wevers R, Harren FJ, Cristescu SM, Merkus PJ. Hydrogen cyanide emission in the lung by Staphylococcus aureus. Eur Respir J 2016; 48:577-9. [DOI: 10.1183/13993003.02093-2015] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2015] [Accepted: 04/25/2016] [Indexed: 11/05/2022]
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