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Lv W, Shi W, Zhang Z, Ru L, Feng W, Tang H, Wang X. Identification of volatile biomarkers for lung cancer from different histological sources: A comprehensive study. Anal Biochem 2024; 690:115527. [PMID: 38565333 DOI: 10.1016/j.ab.2024.115527] [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: 12/25/2023] [Revised: 03/21/2024] [Accepted: 03/27/2024] [Indexed: 04/04/2024]
Abstract
The identification of noninvasive volatile biomarkers for lung cancer is a significant clinical challenge. Through in vitro studies, the recognition of altered metabolism in cell volatile organic compound (VOC) emitting profile, along with the occurrence of oncogenesis, provides insight into the biochemical pathways involved in the production and metabolism of lung cancer volatile biomarkers. In this research, for the first time, a comprehensive comparative analysis of the volatile metabolites in NSCLS cells (A549), SCLC cells (H446), lung normal cells (BEAS-2B), as well as metabolites in both the oxidative stress (OS) group and control group. Specifically, the combination of eleven VOCs, including n-dodecane, acetaldehyde, isopropylbenzene, p-ethyltoluene and cis-1,3-dichloropropene, exhibited potential as volatile biomarkers for lung cancer originating from two different histological sources. Furthermore, the screening process in A549 cell lines resulted in the identification of three exclusive biomarkers, isopropylbenzene, formaldehyde and bromoform. Similarly, the exclusive biomarkers 1,2,4-trimethylbenzene, p-ethyltoluene, and cis-1,3-dichloropropene were present in the H446 cell line. Additionally, significant changes in trans-2-pentene, acetaldehyde, 1,2,4-trimethylbenzene, and bromoform were observed, indicating a strong association with OS. These findings highlight the potential of volatile biomarkers profiling as a means of noninvasive identification for lung cancer diagnosis.
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Affiliation(s)
- Wei Lv
- College of Pharmacy, Henan University of Chinese Medicine, Zhengzhou, 450046, China
| | - Wenmin Shi
- College of Pharmacy, Henan University of Chinese Medicine, Zhengzhou, 450046, China
| | - Zhijuan Zhang
- College of Pharmacy, Henan University of Chinese Medicine, Zhengzhou, 450046, China; Institute of Mass Spectrometer and Atmospheric Environment, Jinan University, Guangzhou, 510632, China.
| | - Lihua Ru
- College of Pharmacy, Henan University of Chinese Medicine, Zhengzhou, 450046, China
| | - Weisheng Feng
- College of Pharmacy, Henan University of Chinese Medicine, Zhengzhou, 450046, China
| | - Hanxiao Tang
- College of Chinese Medical Sciences, Henan University of Chinese Medicine, Zhengzhou, 450046, China
| | - Xiangqi Wang
- The Third Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, 450046, China
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2
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Liu J, Qin M, Shi Y, Jiang R, Wang Z, Zhang L, Zhao Y, Gao H, Li M, Huang C. Volatile carbonyl metabolites analysis of nanoparticle exposed lung cells in an organ-on-a-chip system. Talanta 2024; 274:126066. [PMID: 38599125 DOI: 10.1016/j.talanta.2024.126066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 03/29/2024] [Accepted: 04/05/2024] [Indexed: 04/12/2024]
Abstract
The evaluation of nanoparticles (NPs) cytotoxicity is crucial for advancing nanotechnology and assessing environmental pollution. However, existing methods for NPs cytotoxicity evaluation suffer from limited accuracy and inadequate information content. In the study, we developed a novel detection platform that enables the identification of cellular carbonyl metabolites at the organ level. The platform is integrated with a cell co-culture lung organ chip (LOC) and a micropillar concentrator. Notably, our work represents the successful measurement of the amounts of cellular metabolites on LOC system. The volatile carbonyl metabolites (VCMs) generated by cells exposure to various types of NPs with different concentrations were captured and detected by high-resolution mass spectrometry (MS). Compared with conventional cell viability and reactive oxygen species (ROS) analysis, our method discerns the toxicological impact of NPs at low concentrations by analyzed VCM at levels as low as ppb level. The LOC system based metabolic gas detection confirmed that low concentrations of NPs have a toxic effect on the cell model, which was not reflected in the fluorescence detection, and the effect of NP material is more significant than the size effect. Furthermore, this method can distinguish different NPs acting on cell models through cluster analysis of multiple VCMs.
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Affiliation(s)
- Jinlong Liu
- Institute of Microelectronics of the Chinese Academy of Sciences, China; University of Chinese Academy of Science, China
| | - Meiyan Qin
- Institute of Microelectronics of the Chinese Academy of Sciences, China; University of Chinese Academy of Science, China
| | - Yimin Shi
- Institute of Microelectronics of the Chinese Academy of Sciences, China; University of Chinese Academy of Science, China
| | - Rui Jiang
- Institute of Microelectronics of the Chinese Academy of Sciences, China; University of Chinese Academy of Science, China
| | - Zizhen Wang
- Institute of Microelectronics of the Chinese Academy of Sciences, China; University of Chinese Academy of Science, China
| | - Lingqian Zhang
- Institute of Microelectronics of the Chinese Academy of Sciences, China
| | - Yang Zhao
- Institute of Microelectronics of the Chinese Academy of Sciences, China
| | - Hang Gao
- Institute of Microelectronics of the Chinese Academy of Sciences, China
| | - Mingxiao Li
- Institute of Microelectronics of the Chinese Academy of Sciences, China.
| | - Chengjun Huang
- Institute of Microelectronics of the Chinese Academy of Sciences, China; University of Chinese Academy of Science, China
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3
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John TM, Shrestha NK, Hasan L, Pappan K, Birch O, Grove D, Boyle B, Allsworth M, Shrestha P, Procop GW, Dweik RA. Detection of Clostridioides difficileinfection by assessment of exhaled breath volatile organic compounds. J Breath Res 2024; 18:026011. [PMID: 38502958 DOI: 10.1088/1752-7163/ad3572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 03/19/2024] [Indexed: 03/21/2024]
Abstract
Clostridioides difficileinfection (CDI) is the leading cause of hospital-acquired infective diarrhea. Current methods for diagnosing CDI have limitations; enzyme immunoassays for toxin have low sensitivity andClostridioides difficilepolymerase chain reaction cannot differentiate infection from colonization. An ideal diagnostic test that incorporates microbial factors, host factors, and host-microbe interaction might characterize true infection. Assessing volatile organic compounds (VOCs) in exhaled breath may be a useful test for identifying CDI. To identify a wide selection of VOCs in exhaled breath, we used thermal desorption-gas chromatography-mass spectrometry to study breath samples from 17 patients with CDI. Age- and sex-matched patients with diarrhea and negativeC.difficiletesting (no CDI) were used as controls. Of the 65 VOCs tested, 9 were used to build a quadratic discriminant model that showed a final cross-validated accuracy of 74%, a sensitivity of 71%, a specificity of 76%, and a receiver operating characteristic area under the curve of 0.72. If these findings are proven by larger studies, breath VOC analysis may be a helpful adjunctive diagnostic test for CDI.
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Affiliation(s)
- Teny M John
- Department of Infectious Diseases, The University of Texas MD Anderson Cancer Center, Houston, TX, United States of America
- Department of Infectious Diseases, Respiratory Institute, Cleveland Clinic, Cleveland, OH, United States of America
| | - Nabin K Shrestha
- Department of Infectious Diseases, Respiratory Institute, Cleveland Clinic, Cleveland, OH, United States of America
| | - Leen Hasan
- Department of Internal Medicine, University of Connecticut, Farmington, CT, United States of America
| | - Kirk Pappan
- Owlstone Medical Ltd, Cambridge, United Kingdom
| | - Owen Birch
- Owlstone Medical Ltd, Cambridge, United Kingdom
| | - David Grove
- Department of Pulmonary Medicine and Critical Care, Respiratory Institute, Cleveland Clinic, Cleveland, OH, United States of America
| | - Billy Boyle
- Owlstone Medical Ltd, Cambridge, United Kingdom
| | | | - Priyanka Shrestha
- Department of Computer Science, Stanford University, Stanford, CA, United States of America
| | - Gary W Procop
- American Board of Pathology, Farmington, United States of America
| | - Raed A Dweik
- Department of Pulmonary Medicine and Critical Care, Respiratory Institute, Cleveland Clinic, Cleveland, OH, United States of America
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Fitzgerald S, Holland L, Ahmed W, Piechulla B, Fowler SJ, Morrin A. Volatilomes of human infection. Anal Bioanal Chem 2024; 416:37-53. [PMID: 37843549 PMCID: PMC10758372 DOI: 10.1007/s00216-023-04986-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 09/22/2023] [Accepted: 10/03/2023] [Indexed: 10/17/2023]
Abstract
The human volatilome comprises a vast mixture of volatile emissions produced by the human body and its microbiomes. Following infection, the human volatilome undergoes significant shifts, and presents a unique medium for non-invasive biomarker discovery. In this review, we examine how the onset of infection impacts the production of volatile metabolites that reflects dysbiosis by pathogenic microbes. We describe key analytical workflows applied across both microbial and clinical volatilomics and emphasize the value in linking microbial studies to clinical investigations to robustly elucidate the metabolic species and pathways leading to the observed volatile signatures. We review the current state of the art across microbial and clinical volatilomics, outlining common objectives and successes of microbial-clinical volatilomic workflows. Finally, we propose key challenges, as well as our perspectives on emerging opportunities for developing clinically useful and targeted workflows that could significantly enhance and expedite current practices in infection diagnosis and monitoring.
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Affiliation(s)
- Shane Fitzgerald
- SFI Insight Centre for Data Analytics, School of Chemical Sciences, National Centre for Sensor Research, Dublin City University, Dublin, Ireland
| | - Linda Holland
- School of Biotechnology, Dublin City University, Dublin, Ireland
| | - Waqar Ahmed
- Division of Immunology, Immunity to Infection and Respiratory Medicine, School of Biological Sciences, The University of Manchester, Manchester, UK
| | - Birgit Piechulla
- Institute of Biological Sciences, University of Rostock, Rostock, Germany
| | - Stephen J Fowler
- Division of Immunology, Immunity to Infection and Respiratory Medicine, School of Biological Sciences, The University of Manchester, Manchester, UK
- Respiratory Medicine, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Aoife Morrin
- SFI Insight Centre for Data Analytics, School of Chemical Sciences, National Centre for Sensor Research, Dublin City University, Dublin, Ireland.
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5
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Ibrahim W, Wilde MJ, Cordell RL, Richardson M, Salman D, Free RC, Zhao B, Singapuri A, Hargadon B, Gaillard EA, Suzuki T, Ng LL, Coats T, Thomas P, Monks PS, Brightling CE, Greening NJ, Siddiqui S. Visualization of exhaled breath metabolites reveals distinct diagnostic signatures for acute cardiorespiratory breathlessness. Sci Transl Med 2022; 14:eabl5849. [PMID: 36383685 PMCID: PMC7613858 DOI: 10.1126/scitranslmed.abl5849] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Acute cardiorespiratory breathlessness accounts for one in eight of all emergency hospitalizations. Early, noninvasive diagnostic testing is a clinical priority that allows rapid triage and treatment. Here, we sought to find and replicate diagnostic breath volatile organic compound (VOC) biomarkers of acute cardiorespiratory disease and understand breath metabolite network enrichment in acute disease, with a view to gaining mechanistic insight of breath biochemical derangements. We collected and analyzed exhaled breath samples from 277 participants presenting acute cardiorespiratory exacerbations and aged-matched healthy volunteers. Topological data analysis phenotypes differentiated acute disease from health and acute cardiorespiratory exacerbation subtypes (acute heart failure, acute asthma, acute chronic obstructive pulmonary disease, and community-acquired pneumonia). A multibiomarker score (101 breath biomarkers) demonstrated good diagnostic sensitivity and specificity (≥80%) in both discovery and replication sets and was associated with all-cause mortality at 2 years. In addition, VOC biomarker scores differentiated metabolic subgroups of cardiorespiratory exacerbation. Louvain clustering of VOCs coupled with metabolite enrichment and similarity assessment revealed highly specific enrichment patterns in all acute disease subgroups, for example, selective enrichment of correlated C5-7 hydrocarbons and C3-5 carbonyls in heart failure and selective depletion of correlated aldehydes in acute asthma. This study identified breath VOCs that differentiate acute cardiorespiratory exacerbations and associated subtypes and metabolic clusters of disease-associated VOCs.
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Affiliation(s)
- Wadah Ibrahim
- Department of Respiratory Sciences, University of Leicester, Leicester, LE1 7RH UK
- Institute for Lung Health, NIHR Leicester Biomedical Research Centre (Respiratory theme), Glenfield Hospital, Groby Road, Leicester LE3 9QP
| | - Michael J. Wilde
- School of Chemistry, University of Leicester, Leicester, LE1 7RH UK
- School of Geography, Earth and Environmental Sciences, University of Plymouth, Plymouth, PL4 8AA, UK
- joint corresponding authorship. (M.J.W.); (S.S.)
| | | | - Matthew Richardson
- Department of Respiratory Sciences, University of Leicester, Leicester, LE1 7RH UK
- Institute for Lung Health, NIHR Leicester Biomedical Research Centre (Respiratory theme), Glenfield Hospital, Groby Road, Leicester LE3 9QP
| | - Dahlia Salman
- Department of Chemistry, Loughborough University, Loughborough, LE11 3TT UK
| | - Robert C. Free
- Department of Respiratory Sciences, University of Leicester, Leicester, LE1 7RH UK
- Institute for Lung Health, NIHR Leicester Biomedical Research Centre (Respiratory theme), Glenfield Hospital, Groby Road, Leicester LE3 9QP
| | - Bo Zhao
- Leverhulme Centre for Demographic Science, University of Oxford, Oxford, OX1 1JD United Kingdom
- Nuffield College, University of Oxford, Oxford, OX1 1NF United Kingdom
| | - Amisha Singapuri
- Department of Respiratory Sciences, University of Leicester, Leicester, LE1 7RH UK
- Institute for Lung Health, NIHR Leicester Biomedical Research Centre (Respiratory theme), Glenfield Hospital, Groby Road, Leicester LE3 9QP
| | - Beverley Hargadon
- Department of Respiratory Sciences, University of Leicester, Leicester, LE1 7RH UK
- Institute for Lung Health, NIHR Leicester Biomedical Research Centre (Respiratory theme), Glenfield Hospital, Groby Road, Leicester LE3 9QP
| | - Erol A. Gaillard
- Department of Respiratory Sciences, University of Leicester, Leicester, LE1 7RH UK
- Institute for Lung Health, NIHR Leicester Biomedical Research Centre (Respiratory theme), Glenfield Hospital, Groby Road, Leicester LE3 9QP
| | - Toru Suzuki
- Department of Cardiovascular Sciences, University of Leicester, Cardiovascular Research Centre, Glenfield General Hospital, Leicester, LE3 9QP UK
- Leicester NIHR Biomedical Research Centre (Cardiovascular theme), Glenfield Hospital, Groby Road, Leicester LE3 9QP
- The Institute of Medical Science, The University of Tokyo Shirokane-dai, Minato-ku 4-6-1, 108-8639 Tokyo, Japan
| | - Leong L. Ng
- Department of Cardiovascular Sciences, University of Leicester, Cardiovascular Research Centre, Glenfield General Hospital, Leicester, LE3 9QP UK
- Leicester NIHR Biomedical Research Centre (Cardiovascular theme), Glenfield Hospital, Groby Road, Leicester LE3 9QP
| | - Tim Coats
- Emergency Medicine Academic Group, Department of Cardiovascular Sciences, University of Leicester, University Road, Leicester LE1 7RH, UK
| | - Paul Thomas
- Department of Chemistry, Loughborough University, Loughborough, LE11 3TT UK
| | - Paul S. Monks
- School of Chemistry, University of Leicester, Leicester, LE1 7RH UK
| | - Christopher E. Brightling
- Department of Respiratory Sciences, University of Leicester, Leicester, LE1 7RH UK
- Institute for Lung Health, NIHR Leicester Biomedical Research Centre (Respiratory theme), Glenfield Hospital, Groby Road, Leicester LE3 9QP
| | - Neil J. Greening
- Department of Respiratory Sciences, University of Leicester, Leicester, LE1 7RH UK
- Institute for Lung Health, NIHR Leicester Biomedical Research Centre (Respiratory theme), Glenfield Hospital, Groby Road, Leicester LE3 9QP
| | - Salman Siddiqui
- Department of Respiratory Sciences, University of Leicester, Leicester, LE1 7RH UK
- Institute for Lung Health, NIHR Leicester Biomedical Research Centre (Respiratory theme), Glenfield Hospital, Groby Road, Leicester LE3 9QP
- National Heart and Lung Institute, Imperial College, London, SW3 6LY UK
- joint corresponding authorship. (M.J.W.); (S.S.)
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Zanella D, Henin A, Mascrez S, Stefanuto P, Franchina FA, Focant J, Purcaro G. Comprehensive two-dimensional gas chromatographic platforms comparison for exhaled breath metabolites analysis. J Sep Sci 2022; 45:3542-3555. [PMID: 35853166 PMCID: PMC9804543 DOI: 10.1002/jssc.202200164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 07/13/2022] [Accepted: 07/13/2022] [Indexed: 01/05/2023]
Abstract
The high potential of exhaled breath for disease diagnosis has been highlighted in numerous studies. However, exhaled breath analysis is suffering from a lack of standardized sampling and analysis procedures, impacting the robustness of inter-laboratory results, and thus hampering proper external validation. The aim of this work was to verify compliance and validate the performance of two different comprehensive two-dimensional gas chromatography coupled to mass spectrometry platforms in different laboratories by monitoring probe metabolites in exhaled breath following the Peppermint Initiative guidelines. An initial assessment of the exhaled breath sampling conditions was performed, selecting the most suitable sampling bag material and volume. Then, a single sampling was performed using Tedlar bags, followed by the trapping of the volatile organic compounds into thermal desorption tubes for the subsequent analysis using two different analytical platforms. The thermal desorption tubes were first analyzed by a (cryogenically modulated) comprehensive two-dimensional gas chromatography system coupled to high-resolution time-of-flight mass spectrometry. The desorption was performed in split mode and the split part was recollected in the same tube and further analyzed by a different (flow modulated) comprehensive two-dimensional gas chromatography system with a parallel detection, specifically using a quadrupole mass spectrometer and a vacuum ultraviolet detector. Both the comprehensive two-dimensional gas chromatography platforms enabled the longitudinal tracking of the peppermint oil metabolites in exhaled breath. The increased sensitivity of comprehensive two-dimensional gas chromatography enabled to successfully monitor over a 6.5 h period a total of 10 target compounds, namely α-pinene, camphene, β-pinene, limonene, cymene, eucalyptol, menthofuran, menthone, isomenthone, and neomenthol.
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Affiliation(s)
- Delphine Zanella
- Molecular System, Organic & Biological Analytical Chemistry GroupUniversity of LiègeLiègeBelgium
| | - Adèle Henin
- Molecular System, Organic & Biological Analytical Chemistry GroupUniversity of LiègeLiègeBelgium
| | - Steven Mascrez
- Gembloux Agro‐Bio TechUniversity of LiègeGemblouxBelgium
| | - Pierre‐Hugues Stefanuto
- Molecular System, Organic & Biological Analytical Chemistry GroupUniversity of LiègeLiègeBelgium
| | - Flavio Antonio Franchina
- Department of Chemistry, Pharmaceutical, and Agricultural SciencesUniversity of FerraraFerraraItaly
| | - Jean‐François Focant
- Molecular System, Organic & Biological Analytical Chemistry GroupUniversity of LiègeLiègeBelgium
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Stefanuto PH, Romano R, Rees CA, Nasir M, Thakuria L, Simon A, Reed AK, Marczin N, Hill JE. Volatile organic compound profiling to explore primary graft dysfunction after lung transplantation. Sci Rep 2022; 12:2053. [PMID: 35136125 PMCID: PMC8827074 DOI: 10.1038/s41598-022-05994-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Accepted: 11/29/2021] [Indexed: 01/07/2023] Open
Abstract
Primary graft dysfunction (PGD) is a major determinant of morbidity and mortality following lung transplantation. Delineating basic mechanisms and molecular signatures of PGD remain a fundamental challenge. This pilot study examines if the pulmonary volatile organic compound (VOC) spectrum relate to PGD and postoperative outcomes. The VOC profiles of 58 bronchoalveolar lavage fluid (BALF) and blind bronchial aspirate samples from 35 transplant patients were extracted using solid-phase-microextraction and analyzed with comprehensive two-dimensional gas chromatography coupled to time-of-flight mass spectrometry. The support vector machine algorithm was used to identify VOCs that could differentiate patients with severe from lower grade PGD. Using 20 statistically significant VOCs from the sample headspace collected immediately after transplantation (< 6 h), severe PGD was differentiable from low PGD with an AUROC of 0.90 and an accuracy of 0.83 on test set samples. The model was somewhat effective for later time points with an AUROC of 0.80. Three major chemical classes in the model were dominated by alkylated hydrocarbons, linear hydrocarbons, and aldehydes in severe PGD samples. These VOCs may have important clinical and mechanistic implications, therefore large-scale study and potential translation to breath analysis is recommended.
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Affiliation(s)
- Pierre-Hugues Stefanuto
- Thayer School of Engineering, Dartmouth College, Hanover, NH, USA.,Organic and Biological Analytical Chemistry Group, Liège University, Liège, Belgium
| | - Rosalba Romano
- Department of Surgery and Cancer, Section of Anaesthetics, Imperial College of London, London, UK.,Harefield Hospital, Royal Brompton and Harefield NHS Foundation Trust, Harefield, UK
| | | | - Mavra Nasir
- Geisel School of Medicine, Dartmouth College, Hanover, NH, USA
| | - Louit Thakuria
- Harefield Hospital, Royal Brompton and Harefield NHS Foundation Trust, Harefield, UK
| | - Andre Simon
- Harefield Hospital, Royal Brompton and Harefield NHS Foundation Trust, Harefield, UK
| | - Anna K Reed
- Harefield Hospital, Royal Brompton and Harefield NHS Foundation Trust, Harefield, UK
| | - Nandor Marczin
- Department of Surgery and Cancer, Section of Anaesthetics, Imperial College of London, London, UK.,Harefield Hospital, Royal Brompton and Harefield NHS Foundation Trust, Harefield, UK.,Department of Anesthesia and Intensive Care, Semmelweis University, Budapest, Hungary
| | - Jane E Hill
- Thayer School of Engineering, Dartmouth College, Hanover, NH, USA. .,Geisel School of Medicine, Dartmouth College, Hanover, NH, USA. .,Department of Chemical and Biological Engineering, University of British Columbia, Vancouver, Canada.
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Zaid A, Khan MS, Yan D, Marriott PJ, Wong YF. Comprehensive two-dimensional gas chromatography with mass spectrometry: an advanced bioanalytical technique for clinical metabolomics studies. Analyst 2022; 147:3974-3992. [DOI: 10.1039/d2an00584k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
This review highlights the current state of knowledge in the development of GC × GC-MS for the analysis of clinical metabolites. Selected applications are described as well as our perspectives on current challenges and potential future directions.
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Affiliation(s)
- Atiqah Zaid
- Centre for Research on Multidimensional Separation Science, School of Chemical Sciences, Universiti Sains Malaysia, 11800 Penang, Malaysia
| | - Mohammad Sharif Khan
- Cargill Research and Development Center, Cargill, 14800 28th Ave N, Plymouth, MN 55447, USA
| | - Dandan Yan
- Centre for Drug Candidate Optimisation, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, VIC 3052, Australia
| | - Philip J. Marriott
- Australian Centre for Research on Separation Science, School of Chemistry, Monash University, Wellington Road, Clayton, VIC 3800, Australia
| | - Yong Foo Wong
- Centre for Research on Multidimensional Separation Science, School of Chemical Sciences, Universiti Sains Malaysia, 11800 Penang, Malaysia
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van der Kamp MR, Driessen JMM, van der Schee MP, Thio BJ, de Jongh FHC. Volatile organic breath components and exercise induced bronchoconstriction in asthmatic children. ALLERGY, ASTHMA, AND CLINICAL IMMUNOLOGY : OFFICIAL JOURNAL OF THE CANADIAN SOCIETY OF ALLERGY AND CLINICAL IMMUNOLOGY 2021; 17:121. [PMID: 34838143 PMCID: PMC8626878 DOI: 10.1186/s13223-021-00622-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 11/01/2021] [Indexed: 11/10/2022]
Abstract
INTRODUCTION Asthma is one of the most common chronic diseases in childhood and is generally characterized by exercise induced bronchoconstriction (EIB). Assessing EIB is time consuming and expensive as it requires a fully equipped pulmonary function laboratory. Analysis of volatile organic compounds (VOCs) in breath is a novel technique for examining biomarkers which may associate with asthma features. The aim of this pilot study was to identify potential markers in the relationship between EIB and VOCs. METHODS Children between four and 14 years old were asked to provide a breath sample prior to undergoing an exercise challenge test to assess for EIB. RESULTS Breath samples were collected and analyzed in 46 asthmatic children, 21 with EIB and 25 without EIB (NO-EIB). Molecular features (MFs) were not significantly different between EIB and NO-EIB controls. 29 of the 46 children were corticosteroid naïve, 10 with EIB and 13 without. In the corticosteroid naïve group EIB was associated with increased MF23 and MF14 in the lower breath sample (p-value < 0.05). CONCLUSION This pilot study shows that EIB was related to an increased MF14 and MF23 in corticosteroid naïve children. The tentative identities of these compounds are octanal and dodecane/tetradecane respectively. These candidate biomarkers have a potential to enable non-invasive diagnosis of EIB in steroid-naïve children. Trial registration This study is registered in the Netherlands trial register (trial no. NL6087) at 14 February 2017.
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Affiliation(s)
- M R van der Kamp
- Department of Paediatrics, Medisch Spectrum Twente, Koningsplein 1, 7512 KZ, Enschede, Netherlands.
- Department of Biomedical Signals and Systems, University of Twente, Enschede, Netherlands.
| | - J M M Driessen
- Department of Paediatrics, Medisch Spectrum Twente, Koningsplein 1, 7512 KZ, Enschede, Netherlands
| | | | - B J Thio
- Department of Paediatrics, Medisch Spectrum Twente, Koningsplein 1, 7512 KZ, Enschede, Netherlands
| | - F H C de Jongh
- Department of Pulmonology, Medisch Spectrum Twente, Enschede, Netherlands
- Department of Engineering Fluid Dynamics, University of Twente, Enschede, Netherlands
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Application of Thin-Film Microextraction to Analyze Volatile Metabolites in A549 Cancer Cells. Metabolites 2021; 11:metabo11100704. [PMID: 34677419 PMCID: PMC8541397 DOI: 10.3390/metabo11100704] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 10/12/2021] [Indexed: 12/25/2022] Open
Abstract
Volatile organic compounds (VOCs) have been proposed in the last two decades as biomarkers for disease detection and therapeutic monitoring. Model in vitro experiments with established cell lines are fundamental to clarify whether given VOCs originate from normal human cells or pathogens, including transformed cancer cells. Due to the trace concentrations of target metabolites, adsorptive enrichment is needed before gas chromatography-mass spectrometry (GC-MS) analysis, with solid-phase microextraction (SPME) being perfectly suited for this purpose. Here, a modification of SPME, the thin-film microextraction (TFME) technique, is proposed for analysis of cellular VOCs, which utilizes a planar mesh coated with stationary phase to increase the extraction phase volume and active surface area. In this study, four different adsorbents were compared: carboxen, divinylbenzene, hydrophobic−lipophilic balanced and polydimethylsiloxane. Amongst them, HLB sheets using poly(divinylbenzene-co-N-vinyl-pyrrolidone) skeleton structure proved to be the most versatile, enabling the most sensitive analysis of VOCs with a broad polarity and volatility. For HLB, sampling type (internal static headspace, external bi-directional headspace), extraction temperature and extraction time were also examined. An established method was successfully applied to analyze metabolites produced by A549 cells revealing five volatiles at significantly higher (additionally benzaldehyde at lower) levels in cell culture medium compared to the cell-free reference medium headspace.
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11
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Zanella D, Guiot J, Stefanuto PH, Giltay L, Henket M, Guissard F, André B, Malaise M, Potjewijd J, Schleich F, Louis R, Focant JF. Breathomics to diagnose systemic sclerosis using thermal desorption and comprehensive two-dimensional gas chromatography high-resolution time-of-flight mass spectrometry. Anal Bioanal Chem 2021; 413:3813-3822. [PMID: 33903944 DOI: 10.1007/s00216-021-03333-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 03/11/2021] [Accepted: 04/08/2021] [Indexed: 11/29/2022]
Abstract
Systemic sclerosis is a rare autoimmune disease associated with rapidly evolving interstitial lung disease, responsible for the disease severity and mortality. Specific biomarkers enabling the early diagnosis and prognosis associated with the disease progression are highly needed. Volatile organic compounds in exhaled breath are widely available and non-invasive and have the potential to reflect metabolic processes occurring within the body. Comprehensive two-dimensional gas chromatography coupled to high-resolution mass spectrometry was used to investigate the potential of exhaled breath to diagnose systemic sclerosis. The exhaled breath of 32 patients and 30 healthy subjects was analyzed. The high resolving power of this approach enabled the detection of 356 compounds in the breath of systemic sclerosis patients, which was characterized by an increase of mainly terpenoids and hydrocarbons. In addition, the use of 4 complementary statistical approaches (two-tailed equal variance t-test, fold change, partial least squares discriminant analysis, and random forest) resulted in the identification of 16 compounds that can be used to discriminate systemic sclerosis patients from healthy subjects. Receiver operating curves were generated that provided an accuracy of 90%, a sensitivity of 92%, and a specificity of 89%. The chemical identification of eight compounds predictive of systemic sclerosis was validated using commercially available standards. The analytical variations together with the volatile composition of room air were carefully monitored during the timeframe of the study to ensure the robustness of the technique. This study represents the first reported evaluation of exhaled breath analysis for systemic sclerosis diagnosis and provides surrogate markers for such disease.
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Affiliation(s)
- Delphine Zanella
- Molecular System, Organic & Biological Analytical Chemistry Group, University of Liege, 11 Allee du Six Aout, 4000, Liege, Belgium.
| | - Julien Guiot
- Respiratory Medicine, GIGA I3, CHU Liege, 4000, Liege, Belgium
| | - Pierre-Hugues Stefanuto
- Molecular System, Organic & Biological Analytical Chemistry Group, University of Liege, 11 Allee du Six Aout, 4000, Liege, Belgium
| | - Laurie Giltay
- Respiratory Medicine, GIGA I3, CHU Liege, 4000, Liege, Belgium
| | - Monique Henket
- Respiratory Medicine, GIGA I3, CHU Liege, 4000, Liege, Belgium
| | | | - Béatrice André
- Rheumatology Department, CHU Liege, 4000, Liege, Belgium
| | - Michel Malaise
- Rheumatology Department, CHU Liege, 4000, Liege, Belgium
| | - Judith Potjewijd
- Department of Internal Medicine, Division of Clinical and Experimental Immunology, Maastricht University Medical Center, 6229 HX, Maastricht, The Netherlands
| | | | - Renaud Louis
- Respiratory Medicine, GIGA I3, CHU Liege, 4000, Liege, Belgium
| | - Jean-François Focant
- Molecular System, Organic & Biological Analytical Chemistry Group, University of Liege, 11 Allee du Six Aout, 4000, Liege, Belgium
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Zanella D, Focant J, Franchina FA. 30 th Anniversary of comprehensive two-dimensional gas chromatography: Latest advances. ANALYTICAL SCIENCE ADVANCES 2021; 2:213-224. [PMID: 38716448 PMCID: PMC10989587 DOI: 10.1002/ansa.202000142] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 11/27/2020] [Accepted: 11/30/2020] [Indexed: 08/31/2024]
Abstract
In this review, we report on the latest (2020-Early 2021) instrumental advances and applications of comprehensive two-dimensional gas chromatography (GC×GC), including its hyphenation with novel upstream or downstream processes (sample preparation approaches or detection technologies). We also discuss software and analysis workflow developments necessary to elaborate the dense chemical information obtained. Thirty years after its inception, the use of GC×GC, as the main analytical tool or as a complementary platform, is undoubtedly shifting toward more applied challenges in a vast breadth of applications. Therefore, we consider the major fields (energy, fuel, foodstuff, plant, biological, and environmental) in which GC×GC has been successfully used, discussing some of the recent innovative research works.
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Affiliation(s)
- Delphine Zanella
- Molecular System, Organic & Biological Analytical Chemistry GroupUniversity of LiègeLiègeBelgium
| | - Jean‐François Focant
- Molecular System, Organic & Biological Analytical Chemistry GroupUniversity of LiègeLiègeBelgium
| | - Flavio A. Franchina
- Molecular System, Organic & Biological Analytical Chemistry GroupUniversity of LiègeLiègeBelgium
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Franchina FA, Zanella D, Dubois LM, Focant J. The role of sample preparation in multidimensional gas chromatographic separations for non‐targeted analysis with the focus on recent biomedical, food, and plant applications. J Sep Sci 2020; 44:188-210. [DOI: 10.1002/jssc.202000855] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 10/22/2020] [Accepted: 10/23/2020] [Indexed: 12/11/2022]
Affiliation(s)
- Flavio A. Franchina
- Molecular System Organic & Biological Analytical Chemistry Group University of Liège Liège Belgium
| | - Delphine Zanella
- Molecular System Organic & Biological Analytical Chemistry Group University of Liège Liège Belgium
| | - Lena M. Dubois
- Molecular System Organic & Biological Analytical Chemistry Group University of Liège Liège Belgium
| | - Jean‐François Focant
- Molecular System Organic & Biological Analytical Chemistry Group University of Liège Liège Belgium
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Franchina FA, Zanella D, Dejong T, Focant JF. Impact of the adsorbent material on volatile metabolites during in vitro and in vivo bio-sampling. Talanta 2020; 222:121569. [PMID: 33167263 DOI: 10.1016/j.talanta.2020.121569] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 08/10/2020] [Accepted: 08/11/2020] [Indexed: 12/16/2022]
Abstract
The increased attraction of biological volatile compounds has opened the route to a wide variety of sampling techniques, amongst which trap tubes packed with adsorbent materials are commonly used. Many types of adsorbent materials are available and the choice of the adsorbent can impact the obtained results in untargeted analysis. Therefore, a proper combination of the adsorbent material and the sample is necessary to increase the robustness and reproducibility of biological studies. In this study, the sampling performance of thermal desorption tubes with six common adsorbent material combinations, i.e., Tenax® TA, Tenax® TA/Carbopack™ B, Tenax® TA/Sulficarb, Tenax® TA/Carbograph™ 5TD, Tenax® TA/Carbograph™ 1TD/Carboxen® 1003, and Carboxen® 1016/Carbograph™ 5TD, was evaluated in two different setups: in vitro and in vivo sampling. The in vitro setup consisted of the headspace dynamic extraction of spiked serum, and a mixture of 19 standards was evaluated in terms of response and reproducibility. The in vivo setup consisted into two parts: the first one was based the evaluation of the standard mixture, which was flash-vaporised into Tedlar® bags containing exhaled breath; the second part was based on the longitudinal monitoring of breath metabolites originating from a beverage intake (i.e., brewed coffee), over a 90 min time period. The tubes were all desorbed and analysed in a comprehensive two-dimensional gas chromatography system coupled to a high-resolution time-of-flight mass spectrometer (GC × GC-HR ToF MS). In both sampling setups, the widest analytes coverage and the overall best extraction yield on the selected compounds were obtained using Tenax® TA, followed by Tenax® TA/Carbopack™ B. Tenax® TA provided the highest sampling reproducibility with 12 %RSD, 10 %RSD and <5 %RSD of the response during the experiments using the in vitro setup, the in vivo setup, and during the longitudinal tracking, respectively.
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Affiliation(s)
- Flavio A Franchina
- Molecular System, Organic & Biological Analytical Chemistry Group, University of Liège, Liège, Belgium.
| | - Delphine Zanella
- Molecular System, Organic & Biological Analytical Chemistry Group, University of Liège, Liège, Belgium
| | - Thibaut Dejong
- Molecular System, Organic & Biological Analytical Chemistry Group, University of Liège, Liège, Belgium
| | - Jean-François Focant
- Molecular System, Organic & Biological Analytical Chemistry Group, University of Liège, Liège, Belgium
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