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Zheng W, Min Y, Pang K, Wu D. Sample Collection and Processing in Volatile Organic Compound Analysis for Gastrointestinal Cancers. Diagnostics (Basel) 2024; 14:1563. [PMID: 39061700 PMCID: PMC11276357 DOI: 10.3390/diagnostics14141563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2024] [Revised: 07/17/2024] [Accepted: 07/18/2024] [Indexed: 07/28/2024] Open
Abstract
Volatile organic compounds have drawn significant attention in recent years as a novel tool for non-invasive detection of a wide range of diseases, including gastrointestinal cancers, for which the need for effective, affordable, and non-invasive screening methods is substantial. Sample preparation is a fundamental step that greatly influences the quality of results and the feasibility of wide-range applications. This review summarizes sampling methods used in studies aiming at testing the diagnostic value of volatile organic compounds in gastrointestinal cancers, discussing in detail some of the recent advancements in automated sampling techniques. Finally, we propose some directions in which sample collection and processing can improve for VOC analysis to be popularized in clinical settings.
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Affiliation(s)
- Weiyang Zheng
- Department of Gastroenterology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Yiyang Min
- 8-yr M.D. Program, Peking Union Medical College, Beijing 100730, China
| | - Ke Pang
- 8-yr M.D. Program, Peking Union Medical College, Beijing 100730, China
| | - Dong Wu
- Department of Gastroenterology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
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2
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Belluomo I, Whitlock SE, Myridakis A, Parker AG, Converso V, Perkins MJ, Langford VS, Španěl P, Hanna GB. Combining Thermal Desorption with Selected Ion Flow Tube Mass Spectrometry for Analyses of Breath Volatile Organic Compounds. Anal Chem 2024; 96:1397-1401. [PMID: 38243802 PMCID: PMC10831795 DOI: 10.1021/acs.analchem.3c04286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 11/21/2023] [Accepted: 12/26/2023] [Indexed: 01/22/2024]
Abstract
An instrument integrating thermal desorption (TD) to selected ion flow tube mass spectrometry (SIFT-MS) is presented, and its application to analyze volatile organic compounds (VOCs) in human breath is demonstrated for the first time. The rationale behind this development is the need to analyze breath samples in large-scale multicenter clinical projects involving thousands of patients recruited in different hospitals. Following adapted guidelines for validating analytical techniques, we developed and validated a targeted analytical method for 21 compounds of diverse chemical class, chosen for their clinical and biological relevance. Validation has been carried out by two independent laboratories, using calibration standards and real breath samples from healthy volunteers. The merging of SIFT-MS and TD integrates the rapid analytical capabilities of SIFT-MS with the capacity to collect breath samples across multiple hospitals. Thanks to these features, the novel instrument has the potential to be easily employed in clinical practice.
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Affiliation(s)
- Ilaria Belluomo
- Department
of Surgery and Cancer, Imperial College
London, London W12 0HS, United
Kingdom
| | - Sophia E. Whitlock
- Syft
Technologies Limited, 68 St. Asaph Street, Christchurch 8011, New Zealand
| | - Antonis Myridakis
- Department
of Surgery and Cancer, Imperial College
London, London W12 0HS, United
Kingdom
| | - Aaron G. Parker
- Department
of Surgery and Cancer, Imperial College
London, London W12 0HS, United
Kingdom
| | - Valerio Converso
- Department
of Surgery and Cancer, Imperial College
London, London W12 0HS, United
Kingdom
| | - Mark J. Perkins
- Element
Lab Solutions, Wellbrook
Court, Girton Road, Cambridge CB3 0NA, United Kingdom
| | - Vaughan S. Langford
- Syft
Technologies Limited, 68 St. Asaph Street, Christchurch 8011, New Zealand
| | - Patrik Španěl
- Department
of Surgery and Cancer, Imperial College
London, London W12 0HS, United
Kingdom
- J.
Heyrovský Institute of Physical Chemistry of the Czech Academy
of Sciences, 182 23 Prague, Czechia
| | - George B. Hanna
- Department
of Surgery and Cancer, Imperial College
London, London W12 0HS, United
Kingdom
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3
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Gallos IK, Tryfonopoulos D, Shani G, Amditis A, Haick H, Dionysiou DD. Advancing Colorectal Cancer Diagnosis with AI-Powered Breathomics: Navigating Challenges and Future Directions. Diagnostics (Basel) 2023; 13:3673. [PMID: 38132257 PMCID: PMC10743128 DOI: 10.3390/diagnostics13243673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 12/12/2023] [Accepted: 12/13/2023] [Indexed: 12/23/2023] Open
Abstract
Early detection of colorectal cancer is crucial for improving outcomes and reducing mortality. While there is strong evidence of effectiveness, currently adopted screening methods present several shortcomings which negatively impact the detection of early stage carcinogenesis, including low uptake due to patient discomfort. As a result, developing novel, non-invasive alternatives is an important research priority. Recent advancements in the field of breathomics, the study of breath composition and analysis, have paved the way for new avenues for non-invasive cancer detection and effective monitoring. Harnessing the utility of Volatile Organic Compounds in exhaled breath, breathomics has the potential to disrupt colorectal cancer screening practices. Our goal is to outline key research efforts in this area focusing on machine learning methods used for the analysis of breathomics data, highlight challenges involved in artificial intelligence application in this context, and suggest possible future directions which are currently considered within the framework of the European project ONCOSCREEN.
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Affiliation(s)
- Ioannis K. Gallos
- Institute of Communication and Computer Systems, National Technical University of Athens, Zografos Campus, 15780 Athens, Greece; (D.T.); (A.A.)
| | - Dimitrios Tryfonopoulos
- Institute of Communication and Computer Systems, National Technical University of Athens, Zografos Campus, 15780 Athens, Greece; (D.T.); (A.A.)
| | - Gidi Shani
- Laboratory for Nanomaterial-Based Devices, Technion—Israel Institute of Technology, Haifa 3200003, Israel; (G.S.); (H.H.)
| | - Angelos Amditis
- Institute of Communication and Computer Systems, National Technical University of Athens, Zografos Campus, 15780 Athens, Greece; (D.T.); (A.A.)
| | - Hossam Haick
- Laboratory for Nanomaterial-Based Devices, Technion—Israel Institute of Technology, Haifa 3200003, Israel; (G.S.); (H.H.)
| | - Dimitra D. Dionysiou
- Institute of Communication and Computer Systems, National Technical University of Athens, Zografos Campus, 15780 Athens, Greece; (D.T.); (A.A.)
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4
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Myridakis A, Wen Q, Boshier PR, Parker AG, Belluomo I, Handakas E, Hanna GB. Global Urinary Volatolomics with (GC×)GC-TOF-MS. Anal Chem 2023; 95:17170-17176. [PMID: 37967208 PMCID: PMC10688225 DOI: 10.1021/acs.analchem.3c02523] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Revised: 10/04/2023] [Accepted: 10/30/2023] [Indexed: 11/17/2023]
Abstract
Urinary volatolomics offers a noninvasive approach for disease detection and monitoring. Herein we present an improved methodology for global volatolomic profiling. Wide coverage was achieved by utilizing a multiphase sorbent for volatile organic compound (VOC) extraction. A single, midpolar column gas chromatography (GC) assay yielded substantially higher numbers of monitored VOCs compared to our previously reported single-sorbent method. Multidimensional GC (GC×GC) enhanced further biomarker discovery while data analysis was simplified by using a tile-based approach. At the same time, the required urine volume was reduced 5-fold from 2 to 0.4 mL. The applicability of the methodology was demonstrated in a pancreatic ductal adenocarcinoma cohort where previous findings were confirmed while a series of additional VOCs with diagnostic potential were discovered.
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Affiliation(s)
- Antonis Myridakis
- Department
of Surgery and Cancer, Imperial College
London, London W12 0HS, United
Kingdom
- Centre
for Pollution Research & Policy, Environmental Sciences, Brunel University, London UB8 3PH, United Kingdom
| | - Qing Wen
- Department
of Surgery and Cancer, Imperial College
London, London W12 0HS, United
Kingdom
- Department
of Urology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310000, China
| | - Piers R. Boshier
- Department
of Surgery and Cancer, Imperial College
London, London W12 0HS, United
Kingdom
| | - Aaron G. Parker
- Department
of Surgery and Cancer, Imperial College
London, London W12 0HS, United
Kingdom
| | - Ilaria Belluomo
- Department
of Surgery and Cancer, Imperial College
London, London W12 0HS, United
Kingdom
| | - Evangelos Handakas
- Medical
Research Council Centre for Environment and Health, School of Public
Health, Imperial College London, London W12 0BZ, United Kingdom
| | - George B. Hanna
- Department
of Surgery and Cancer, Imperial College
London, London W12 0HS, United
Kingdom
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5
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Awchi M, Singh KD, Dill PE, Frey U, Datta AN, Sinues P. Prediction of systemic free and total valproic acid by off-line analysis of exhaled breath in epileptic children and adolescents. J Breath Res 2023; 17:046013. [PMID: 37678210 DOI: 10.1088/1752-7163/acf782] [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: 01/14/2023] [Accepted: 09/07/2023] [Indexed: 09/09/2023]
Abstract
Therapeutic drug monitoring (TDM) of medications with a narrow therapeutic window is a common clinical practice to minimize toxic effects and maximize clinical outcomes. Routine analyses rely on the quantification of systemic blood concentrations of drugs. Alternative matrices such as exhaled breath are appealing because of their inherent non-invasive nature. This is especially the case for pediatric patients. We have recently showcased the possibility of predicting systemic concentrations of valproic acid (VPA), an anti-seizure medication by real-time breath analysis in two real clinical settings. This approach, however, comes with the limitation of the patients having to physically exhale into the mass spectrometer. This restricts the possibility of sampling from patients not capable or available to exhale into the mass spectrometer located on the hospital premises. In this work, we developed an alternative method to overcome this limitation by collecting the breath samples in customized bags and subsequently analyzing them by secondary electrospray ionization coupled to high-resolution mass spectrometry (SESI-HRMS). A total ofn= 40 patients (mean ± SD, 11.5 ± 3.5 y.o.) diagnosed with epilepsy and taking VPA were included in this study. The patients underwent three measurements: (i) serum concentrations of total and free VPA, (ii) real-time breath analysis and (iii) off-line analysis of exhaled breath collected in bags. The agreement between the real-time and the off-line breath analysis methods was evaluated using Lin's concordance correlation coefficient (CCC). CCC was computed for ten mass spectral predictors of VPA concentrations. Lin's CCC was >0.6 for all VPA-associated features, except for two low-signal intensity isotopic peaks. Finally, free and total serum VPA concentrations were predicted by cross validating the off-line data set. Support vector machine algorithms provided the most accurate predictions with a root mean square error of cross validation of 29.0 ± 7.4 mg l-1and 3.9 ± 1.4 mg l-1for total and free VPA (mean ± SD), respectively. As a secondary analysis, we explored whether exhaled metabolites previously associated with side-effects and response to medication could be rendered by the off-line analysis method. We found that five features associated with side effects showed a CCC > 0.6, whereas none of the drug response-associated peaks reached this cut-off. We conclude that the clinically relevant free fraction of VPA can be predicted by this combination of off-line breath collection with rapid SESI-HRMS analysis. This opens new possibilities for breath based TDM in clinical settings.
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Affiliation(s)
- Mo Awchi
- University Children's Hospital Basel, Basel, Switzerland
- Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Kapil Dev Singh
- University Children's Hospital Basel, Basel, Switzerland
- Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | | | - Urs Frey
- University Children's Hospital Basel, Basel, Switzerland
| | | | - Pablo Sinues
- University Children's Hospital Basel, Basel, Switzerland
- Department of Biomedical Engineering, University of Basel, Basel, Switzerland
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6
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Katsaounou K, Yiannakou D, Nikolaou E, Brown C, Vogazianos P, Aristodimou A, Chi J, Costeas P, Agapiou A, Frangou E, Tsiaoussis G, Potamitis G, Antoniades A, Shammas C, Apidianakis Y. Fecal Microbiota and Associated Volatile Organic Compounds Distinguishing No-Adenoma from High-Risk Colon Adenoma Adults. Metabolites 2023; 13:819. [PMID: 37512526 PMCID: PMC10383435 DOI: 10.3390/metabo13070819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 06/26/2023] [Accepted: 06/29/2023] [Indexed: 07/30/2023] Open
Abstract
Microbiota and the metabolites they produce within the large intestine interact with the host epithelia under the influence of a range of host-derived metabolic, immune, and homeostatic factors. This complex host-microbe interaction affects intestinal tumorigenesis, but established microbial or metabolite profiles predicting colorectal cancer (CRC) risk are missing. Here, we aimed to identify fecal bacteria, volatile organic compounds (VOC), and their associations that distinguish healthy (non-adenoma, NA) from CRC prone (high-risk adenoma, HRA) individuals. Analyzing fecal samples obtained from 117 participants ≥15 days past routine colonoscopy, we highlight the higher abundance of Proteobacteria and Parabacteroides distasonis, and the lower abundance of Lachnospiraceae species, Roseburia faecis, Blautia luti, Fusicatenibacter saccharivorans, Eubacterium rectale, and Phascolarctobacterium faecium in the samples of HRA individuals. Volatolomic analysis of samples from 28 participants revealed a higher concentration of five compounds in the feces of HRA individuals, isobutyric acid, methyl butyrate, methyl propionate, 2-hexanone, and 2-pentanone. We used binomial logistic regression modeling, revealing 68 and 96 fecal bacteria-VOC associations at the family and genus level, respectively, that distinguish NA from HRA endpoints. For example, isobutyric acid associations with Lachnospiraceae incertae sedis and Bacteroides genera exhibit positive and negative regression lines for NA and HRA endpoints, respectively. However, the same chemical associates with Coprococcus and Colinsella genera exhibit the reverse regression line trends. Thus, fecal microbiota and VOC profiles and their associations in NA versus HRA individuals indicate the significance of multiple levels of analysis towards the identification of testable CRC risk biomarkers.
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Affiliation(s)
- Kyriaki Katsaounou
- Department of Biological Sciences, University of Cyprus, Nicosia 2109, Cyprus
| | | | | | | | | | | | | | | | - Agapios Agapiou
- Department of Chemistry, University of Cyprus, Nicosia 2109, Cyprus
| | | | | | | | | | | | - Yiorgos Apidianakis
- Department of Biological Sciences, University of Cyprus, Nicosia 2109, Cyprus
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7
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Krishnamoorthy A, Chandrapalan S, Bosch S, Bannaga A, De Boer NK, De Meij TG, Leja M, Hanna GB, De Vietro N, Altomare D, Arasaradnam RP. The Influence of Mechanical Bowel Preparation on Volatile Organic Compounds for the Detection of Gastrointestinal Disease-A Systematic Review. SENSORS (BASEL, SWITZERLAND) 2023; 23:s23031377. [PMID: 36772415 PMCID: PMC9919600 DOI: 10.3390/s23031377] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 01/20/2023] [Accepted: 01/23/2023] [Indexed: 05/25/2023]
Abstract
(1) Background: Colorectal cancer is the second commonest cause of cancer deaths worldwide; recently, volatile organic compounds (VOCs) have been proposed as potential biomarkers of this disease. In this paper, we aim to identify and review the available literature on the influence of mechanical bowel preparation on VOC production and measurement. (2) Methods: A systematic search for studies was carried out for articles relevant to mechanical bowel preparation and its effects on volatile organic compounds. A total of 4 of 1349 papers initially derived from the search were selected. (3) Results: Two studies with a total of 134 patients found no difference in measured breath VOC profiles after bowel preparation; one other study found an increase in breath acetone in 61 patients after bowel preparation, but no other compounds were affected. Finally, the last study showed the alteration of urinary VOC profiles. (4) Conclusions: There is limited data on the effect of bowel preparation on VOC production in the body. As further studies of VOCs are conducted in patients with symptoms of gastrointestinal disease, the quantification of the effect of bowel preparation on their abundance is required.
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Affiliation(s)
- Ashwin Krishnamoorthy
- Department of Gastroenterology, University Hospital Coventry and Warwickshire, Coventry CV2 2DX, UK
| | - Subashini Chandrapalan
- Department of Gastroenterology, University Hospital Coventry and Warwickshire, Coventry CV2 2DX, UK
| | - Sofie Bosch
- Department of Gastroenterology and Hepatology, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam University Medical Centre, Vrije Universiteit Amsterdam, 1081 Amsterdam, The Netherlands
| | - Ayman Bannaga
- Department of Gastroenterology, University Hospital Coventry and Warwickshire, Coventry CV2 2DX, UK
| | - Nanne K.H. De Boer
- Department of Gastroenterology and Hepatology, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam University Medical Centre, Vrije Universiteit Amsterdam, 1081 Amsterdam, The Netherlands
| | - Tim G.J. De Meij
- Department of Pediatric Gastroenterology, Emma’s Children Hospital, Amsterdam UMC, 1105 Amsterdam, The Netherlands
| | - Marcis Leja
- Institute of Clinical and Preventative Medicine, University of Latvia, LV-1586 Riga, Latvia
| | - George B. Hanna
- Department of Surgery and Cancer, Imperial College London, London SW7 2AZ, UK
| | | | - Donato Altomare
- Department of Surgery, University of Bari Aldo Moro, 70121 Bari, Italy
| | - Ramesh P. Arasaradnam
- Department of Gastroenterology, University Hospital Coventry and Warwickshire, Coventry CV2 2DX, UK
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