1
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Capuano R, Ciotti M, Catini A, Bernardini S, Di Natale C. Clinical applications of volatilomic assays. Crit Rev Clin Lab Sci 2024:1-20. [PMID: 39129534 DOI: 10.1080/10408363.2024.2387038] [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: 03/14/2024] [Revised: 04/23/2024] [Accepted: 07/29/2024] [Indexed: 08/13/2024]
Abstract
The study of metabolomics is revealing immense potential for diagnosis, therapy monitoring, and understanding of pathogenesis processes. Volatilomics is a subcategory of metabolomics interested in the detection of molecules that are small enough to be released in the gas phase. Volatile compounds produced by cellular processes are released into the blood and lymph, and can reach the external environment through different pathways, such as the blood-air interface in the lung that are detected in breath, or the blood-water interface in the kidney that leads to volatile compounds detected in urine. Besides breath and urine, additional sources of volatile compounds such as saliva, blood, feces, and skin are available. Volatilomics traces its roots back over fifty years to the pioneering investigations in the 1970s. Despite extensive research, the field remains in its infancy, hindered by a lack of standardization despite ample experimental evidence. The proliferation of analytical instrumentations, sample preparations and methods of volatilome sampling still make it difficult to compare results from different studies and to establish a common standard approach to volatilomics. This review aims to provide an overview of volatilomics' diagnostic potential, focusing on two key technical aspects: sampling and analysis. Sampling poses a challenge due to the susceptibility of human samples to contamination and confounding factors from various sources like the environment and lifestyle. The discussion then delves into targeted and untargeted approaches in volatilomics. Some case studies are presented to exemplify the results obtained so far. Finally, the review concludes with a discussion on the necessary steps to fully integrate volatilomics into clinical practice.
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Affiliation(s)
- Rosamaria Capuano
- Department of Electronic Engineering, University of Rome Tor Vergata, Roma, Italy
- Interdepartmental Center for Volatilomics, "A. D'Amico", University of Rome Tor Vergata, Rome, Italy
| | - Marco Ciotti
- Department of Laboratory Medicine, University Hospital Tor Vergata, Rome, Italy
| | - Alexandro Catini
- Department of Electronic Engineering, University of Rome Tor Vergata, Roma, Italy
- Interdepartmental Center for Volatilomics, "A. D'Amico", University of Rome Tor Vergata, Rome, Italy
| | - Sergio Bernardini
- Interdepartmental Center for Volatilomics, "A. D'Amico", University of Rome Tor Vergata, Rome, Italy
- Department of Laboratory Medicine, University Hospital Tor Vergata, Rome, Italy
- Department of Experimental Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Corrado Di Natale
- Department of Electronic Engineering, University of Rome Tor Vergata, Roma, Italy
- Interdepartmental Center for Volatilomics, "A. D'Amico", University of Rome Tor Vergata, Rome, Italy
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2
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Zheng W, Pang K, Min Y, Wu D. Prospect and Challenges of Volatile Organic Compound Breath Testing in Non-Cancer Gastrointestinal Disorders. Biomedicines 2024; 12:1815. [PMID: 39200279 PMCID: PMC11351786 DOI: 10.3390/biomedicines12081815] [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: 06/16/2024] [Revised: 07/16/2024] [Accepted: 08/06/2024] [Indexed: 09/02/2024] Open
Abstract
Breath analysis, despite being an overlooked biomatrix, has a rich history in disease diagnosis. However, volatile organic compounds (VOCs) have yet to establish themselves as clinically validated biomarkers for specific diseases. As focusing solely on late-stage or malignant disease biomarkers may have limited relevance in clinical practice, the objective of this review is to explore the potential of VOC breath tests for the diagnosis of non-cancer diseases: (1) Precancerous conditions like gastro-esophageal reflux disease (GERD) and Barrett's esophagus (BE), where breath tests can complement endoscopic screening; (2) endoluminal diseases associated with autoinflammation and dysbiosis, such as inflammatory bowel disease (IBD), irritable bowel syndrome (IBS), and coeliac disease, which currently rely on biopsy and symptom-based diagnosis; (3) chronic liver diseases like cirrhosis, hepatic encephalopathy, and non-alcoholic fatty liver disease, which lack non-invasive diagnostic tools for disease progression monitoring and prognostic assessment. A literature search was conducted through EMBASE, MEDLINE, and Cochrane databases, leading to an overview of 24 studies. The characteristics of these studies, including analytical platforms, disorder type and stage, group size, and performance evaluation parameters for diagnostic tests are discussed. Furthermore, how VOCs can be utilized as non-invasive diagnostic tools to complement existing gold standards is explored. By refining study designs, sampling procedures, and comparing VOCs in urine and blood, we can gain a deeper understanding of the metabolic pathways underlying VOCs. This will establish breath analysis as an effective non-invasive method for differential diagnosis and disease monitoring.
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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;
| | - Ke Pang
- Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100006, China; (K.P.); (Y.M.)
| | - Yiyang Min
- Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100006, China; (K.P.); (Y.M.)
| | - Dong Wu
- Department of Gastroenterology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China;
- Clinical Epidemiology Unit, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
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3
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Yang K, Zhang X, Gui W, Zhen Q, Ban Y, Chen Y, Ma L, Pan S, Yan Y, Ding M. Alteration of Plasma Indoles in Polycystic Ovary Syndrome. Reprod Sci 2024; 31:764-772. [PMID: 37828362 DOI: 10.1007/s43032-023-01377-8] [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: 03/20/2023] [Accepted: 10/01/2023] [Indexed: 10/14/2023]
Abstract
Polycystic ovary syndrome (PCOS) is one of the most common endocrinopathies in reproductive-aged women. The occurrence of PCOS was reported to be associated with the alteration of gut microbiota. Microbiota-derived indoles may possibly play a key role in glycemic control. The purpose of this work is to reveal the alteration of plasma indoles in PCOS patients and to investigate the correlation between indoles levels and glucose metabolism. Sixty-five patients with PCOS and twenty-eight age-matched women were enrolled in this work. The concentrations of plasma indoles, including indoxyl sulfate (IS), indole-3-acetic acid (IAA), indole-3-propionate (IPA), indole (IND), and 3-methylindole (3-MI), were measured by HPLC with the fluorescence detection. The plasma levels of IS, IAA, and IND were significantly elevated in patients with PCOS compared to those in the control group (p < 0.05). Furthermore, the plasma levels of IS, IAA, and IND were positively correlated with fasting glucose, fasting insulin, and the homeostatic model of insulin resistance index (HOMA-IR) (p < 0.05). Besides, the 3-MI level in the plasma was positively correlated with the fasting glucose level, whereas plasma levels of IS, IAA, IND, and 3-MI were negatively correlated with glucagon-like peptide 1 (p < 0.05). Moreover, IS and IND were considered to be risk factors for PCOS after age, BMI, T, LH, and HOMA-IR adjustment. The area under the receiver-operating characteristic curve of the combined index of five indoles was 0.867 for PCOS diagnosis. Additionally, plasma indoles altered in PCOS, which was closely associated with the glucose metabolism.
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Affiliation(s)
- Ke Yang
- Key Laboratory of Laboratory Medical Diagnostics, Ministry of Education, School of Laboratory Medicine, Chongqing Medical University, Chongqing, China
| | - Xiaoqing Zhang
- Key Laboratory of Laboratory Medical Diagnostics, Ministry of Education, School of Laboratory Medicine, Chongqing Medical University, Chongqing, China
| | - Wenwu Gui
- Reproductive Medicine Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Qianna Zhen
- Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yanna Ban
- Reproductive Medicine Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Ying Chen
- Reproductive Medicine Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Li Ma
- Laboratory of Lipid &Glucose Metabolism, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Shengnan Pan
- Key Laboratory of Laboratory Medical Diagnostics, Ministry of Education, School of Laboratory Medicine, Chongqing Medical University, Chongqing, China
| | - Yutong Yan
- Key Laboratory of Laboratory Medical Diagnostics, Ministry of Education, School of Laboratory Medicine, Chongqing Medical University, Chongqing, China
| | - Min Ding
- Key Laboratory of Laboratory Medical Diagnostics, Ministry of Education, School of Laboratory Medicine, Chongqing Medical University, Chongqing, China.
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4
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Moura PC, Raposo M, Vassilenko V. Breath biomarkers in Non-Carcinogenic diseases. Clin Chim Acta 2024; 552:117692. [PMID: 38065379 DOI: 10.1016/j.cca.2023.117692] [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: 11/10/2023] [Revised: 12/02/2023] [Accepted: 12/03/2023] [Indexed: 12/19/2023]
Abstract
The analysis of volatile organic compounds (VOCs) from human matrices like breath, perspiration, and urine has received increasing attention from academic and medical researchers worldwide. These biological-borne VOCs molecules have characteristics that can be directly related to physiologic and pathophysiologic metabolic processes. In this work, gathers a total of 292 analytes that have been identified as potential biomarkers for the diagnosis of various non-carcinogenic diseases. Herein we review the advances in VOCs with a focus on breath biomarkers and their potential role as minimally invasive tools to improve diagnosis prognosis and therapeutic monitoring.
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Affiliation(s)
- Pedro Catalão Moura
- Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics (LIBPhys-UNL), Department of Physics, NOVA School of Science and Technology, NOVA University of Lisbon, Campus FCT-UNL, 2829-516, Caparica, Portugal.
| | - Maria Raposo
- Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics (LIBPhys-UNL), Department of Physics, NOVA School of Science and Technology, NOVA University of Lisbon, Campus FCT-UNL, 2829-516, Caparica, Portugal.
| | - Valentina Vassilenko
- Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics (LIBPhys-UNL), Department of Physics, NOVA School of Science and Technology, NOVA University of Lisbon, Campus FCT-UNL, 2829-516, Caparica, Portugal.
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5
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Ferrandino G, Ricciardi F, Murgia A, Banda I, Manhota M, Ahmed Y, Sweeney K, Nicholson-Scott L, McConville L, Gandelman O, Allsworth M, Boyle B, Smolinska A, Ginesta Frings CA, Contreras J, Asenjo-Lobos C, Barrientos V, Clavo N, Novoa A, Riviotta A, Jerez M, Méndez L. Exogenous Volatile Organic Compound (EVOC ®) Breath Testing Maximizes Classification Performance for Subjects with Cirrhosis and Reveals Signs of Portal Hypertension. Biomedicines 2023; 11:2957. [PMID: 38001958 PMCID: PMC10669625 DOI: 10.3390/biomedicines11112957] [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: 10/02/2023] [Revised: 10/20/2023] [Accepted: 10/23/2023] [Indexed: 11/26/2023] Open
Abstract
Background: Cirrhosis detection in primary care relies on low-performing biomarkers. Consequently, up to 75% of subjects with cirrhosis receive their first diagnosis with decompensation when causal treatments are less effective at preserving liver function. We investigated an unprecedented approach to cirrhosis detection based on dynamic breath testing. Methods: We enrolled 29 subjects with cirrhosis (Child-Pugh A and B), and 29 controls. All subjects fasted overnight. Breath samples were taken using Breath Biopsy® before and at different time points after the administration of 100 mg limonene. Absolute limonene breath levels were measured using gas chromatography-mass spectrometry. Results: All subjects showed a >100-fold limonene spike in breath after administration compared to baseline. Limonene breath kinetics showed first-order decay in >90% of the participants, with higher bioavailability in the cirrhosis group. At the Youden index, baseline limonene levels showed classification performance with an area under the roc curve (AUROC) of 0.83 ± 0.012, sensitivity of 0.66 ± 0.09, and specificity of 0.83 ± 0.07. The best performing timepoint post-administration was 60 min, with an AUROC of 0.91, sensitivity of 0.83 ± 0.07, and specificity of 0.9 ± 0.06. In the cirrhosis group, limonene bioavailability showed a correlation with MELD and fibrosis indicators, and was associated with signs of portal hypertension. Conclusions: Dynamic limonene breath testing enhances diagnostic performance for cirrhosis compared to static testing. The correlation with disease severity suggests potential for monitoring therapeutic interventions. Given the non-invasive nature of breath collection, a dynamic limonene breath test could be implemented in primary care.
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Affiliation(s)
- Giuseppe Ferrandino
- Owlstone Medical, 183 Cambridge Science Park, Milton Road, Cambridge CB4 0GJ, UK
| | - Federico Ricciardi
- Owlstone Medical, 183 Cambridge Science Park, Milton Road, Cambridge CB4 0GJ, UK
| | - Antonio Murgia
- Owlstone Medical, 183 Cambridge Science Park, Milton Road, Cambridge CB4 0GJ, UK
| | - Iris Banda
- Owlstone Medical, 183 Cambridge Science Park, Milton Road, Cambridge CB4 0GJ, UK
| | - Menisha Manhota
- Owlstone Medical, 183 Cambridge Science Park, Milton Road, Cambridge CB4 0GJ, UK
| | - Yusuf Ahmed
- Owlstone Medical, 183 Cambridge Science Park, Milton Road, Cambridge CB4 0GJ, UK
| | - Kelly Sweeney
- Owlstone Medical, 183 Cambridge Science Park, Milton Road, Cambridge CB4 0GJ, UK
| | | | - Lucinda McConville
- Owlstone Medical, 183 Cambridge Science Park, Milton Road, Cambridge CB4 0GJ, UK
| | - Olga Gandelman
- Owlstone Medical, 183 Cambridge Science Park, Milton Road, Cambridge CB4 0GJ, UK
| | - Max Allsworth
- Owlstone Medical, 183 Cambridge Science Park, Milton Road, Cambridge CB4 0GJ, UK
| | - Billy Boyle
- Owlstone Medical, 183 Cambridge Science Park, Milton Road, Cambridge CB4 0GJ, UK
| | - Agnieszka Smolinska
- Owlstone Medical, 183 Cambridge Science Park, Milton Road, Cambridge CB4 0GJ, UK
- Department of Pharmacology and Toxicology, School for Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands
| | - Carmen A. Ginesta Frings
- Unidad de Gastroenterología y Endoscopía, Clínica Alemana, Facultad de Medicina Clínica Alemana, Universidad de Desarrollo, Santiago 7650568, Chile
- Unidad de Endoscopia, Hospital Padre Hurtado, Santiago 8880465, Chile
| | - Jorge Contreras
- Unidad de Gastroenterología y Endoscopía, Clínica Alemana, Facultad de Medicina Clínica Alemana, Universidad de Desarrollo, Santiago 7650568, Chile
| | - Claudia Asenjo-Lobos
- Centro de Estudios Clínicos, Instituto de Ciencias e Innovación en Medicina (ICIM), Facultad de Medicina Clínica Alemana, Universidad del Desarrollo, Santiago 7610315, Chile
| | | | - Nataly Clavo
- Unidad de Endoscopia, Hospital Padre Hurtado, Santiago 8880465, Chile
| | - Angela Novoa
- Laboratorio de Fisiología Digestiva, Clínica Alemana, Santiago 7650568, Chile
| | - Amy Riviotta
- Centro de Estudios Clínicos, Instituto de Ciencias e Innovación en Medicina (ICIM), Facultad de Medicina Clínica Alemana, Universidad del Desarrollo, Santiago 7610315, Chile
| | - Melissa Jerez
- Nursing School, Universidad de Las Américas, Santiago 8242125, Chile
| | - Luis Méndez
- Unidad de Gastroenterología y Endoscopía, Clínica Alemana, Facultad de Medicina Clínica Alemana, Universidad de Desarrollo, Santiago 7650568, Chile
- Unidad de Endoscopia, Hospital Padre Hurtado, Santiago 8880465, Chile
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6
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Modak AS. Why have only a handful of breath tests made the transition from R&D to clinical practice? J Breath Res 2023; 18:012001. [PMID: 37850653 DOI: 10.1088/1752-7163/acff7d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 10/03/2023] [Indexed: 10/19/2023]
Affiliation(s)
- Anil S Modak
- Independent Researcher, Mebane, NC 27302, United States of America
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7
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Hershberger CE, Raj R, Mariam A, Aykun N, Allende DS, Brown M, Aucejo F, Rotroff DM. Characterization of Salivary and Plasma Metabolites as Biomarkers for HCC: A Pilot Study. Cancers (Basel) 2023; 15:4527. [PMID: 37760495 PMCID: PMC10527521 DOI: 10.3390/cancers15184527] [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: 06/30/2023] [Revised: 08/24/2023] [Accepted: 09/06/2023] [Indexed: 09/29/2023] Open
Abstract
(1) Background: The incidence of hepatocellular carcinoma (HCC) is rising, and current screening methods lack sensitivity. This study aimed to identify distinct and overlapping metabolites in saliva and plasma that are significantly associated with HCC. (2) Methods: Saliva samples were collected from 42 individuals (HCC = 16, cirrhosis = 12, healthy = 14), with plasma samples from 22 (HCC = 14, cirrhosis = 2, healthy = 6). We performed untargeted mass spectrometry on blood and plasma, tested metabolites for associations with HCC or cirrhosis using a logistic regression, and identified enriched pathways with Metaboanalyst. Pearson's correlation was employed to test for correlations between salivary and plasma metabolites. (3) Results: Six salivary metabolites (1-hexadecanol, isooctanol, malonic acid, N-acetyl-valine, octadecanol, and succinic acid) and ten plasma metabolites (glycine, 3-(4-hydroxyphenyl)propionic acid, aconitic acid, isocitric acid, tagatose, cellobiose, fucose, glyceric acid, isocitric acid, isothreonic acid, and phenylacetic acid) were associated with HCC. Malonic acid was correlated between the paired saliva and plasma samples. Pathway analysis highlighted deregulation of the 'The Citric Acid Cycle' in both biospecimens. (4) Conclusions: Our study suggests that salivary and plasma metabolites may serve as independent sources for HCC detection. Despite the lack of correlation between individual metabolites, they converge on 'The Citric Acid Cycle' pathway, implicated in HCC pathogenesis.
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Affiliation(s)
- Courtney E Hershberger
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
- Center for Quantitative Metabolic Research, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Roma Raj
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
- Center for Quantitative Metabolic Research, Cleveland Clinic, Cleveland, OH 44195, USA
- Digestive Disease and Surgery Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Arshiya Mariam
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
- Center for Quantitative Metabolic Research, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Nihal Aykun
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
- Center for Quantitative Metabolic Research, Cleveland Clinic, Cleveland, OH 44195, USA
- Digestive Disease and Surgery Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Daniela S Allende
- Digestive Disease and Surgery Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Mark Brown
- Department of Cancer Biology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
- Center for Microbiome and Human Health, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Federico Aucejo
- Digestive Disease and Surgery Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Daniel M Rotroff
- Department of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
- Center for Quantitative Metabolic Research, Cleveland Clinic, Cleveland, OH 44195, USA
- Endocrinology and Metabolism Institute, Cleveland Clinic, Cleveland, OH 44195, USA
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8
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Ferrandino G, De Palo G, Murgia A, Birch O, Tawfike A, Smith R, Debiram-Beecham I, Gandelman O, Kibble G, Lydon AM, Groves A, Smolinska A, Allsworth M, Boyle B, van der Schee MP, Allison M, Fitzgerald RC, Hoare M, Snowdon VK. Breath Biopsy ® to Identify Exhaled Volatile Organic Compounds Biomarkers for Liver Cirrhosis Detection. J Clin Transl Hepatol 2023; 11:638-648. [PMID: 36969895 PMCID: PMC10037526 DOI: 10.14218/jcth.2022.00309] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 09/30/2022] [Accepted: 11/01/2022] [Indexed: 03/29/2023] Open
Abstract
Background and Aims The prevalence of chronic liver disease in adults exceeds 30% in some countries and there is significant interest in developing tests and treatments to help control disease progression and reduce healthcare burden. Breath is a rich sampling matrix that offers non-invasive solutions suitable for early-stage detection and disease monitoring. Having previously investigated targeted analysis of a single biomarker, here we investigated a multiparametric approach to breath testing that would provide more robust and reliable results for clinical use. Methods To identify candidate biomarkers we compared 46 breath samples from cirrhosis patients and 42 from controls. Collection and analysis used Breath Biopsy OMNI™, maximizing signal and contrast to background to provide high confidence biomarker detection based upon gas chromatography mass spectrometry (GC-MS). Blank samples were also analyzed to provide detailed information on background volatile organic compounds (VOCs) levels. Results A set of 29 breath VOCs differed significantly between cirrhosis and controls. A classification model based on these VOCs had an area under the curve (AUC) of 0.95±0.04 in cross-validated test sets. The seven best performing VOCs were sufficient to maximize classification performance. A subset of 11 VOCs was correlated with blood metrics of liver function (bilirubin, albumin, prothrombin time) and separated patients by cirrhosis severity using principal component analysis. Conclusions A set of seven VOCs consisting of previously reported and novel candidates show promise as a panel for liver disease detection and monitoring, showing correlation to disease severity and serum biomarkers at late stage.
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Affiliation(s)
| | | | | | | | | | | | - Irene Debiram-Beecham
- Department of Oncology, University of Cambridge, Hutchison/MRC Research Centre, Cambridge, UK
| | | | - Graham Kibble
- Department of Oncology, University of Cambridge, Hutchison/MRC Research Centre, Cambridge, UK
| | - Anne Marie Lydon
- Department of Oncology, University of Cambridge, Hutchison/MRC Research Centre, Cambridge, UK
| | - Alice Groves
- Department of Oncology, University of Cambridge, Hutchison/MRC Research Centre, Cambridge, UK
| | - Agnieszka Smolinska
- Owlstone Medical, Cambridge, UK
- Department of Pharmacology and Toxicology, School for Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Center, the Netherlands
| | | | | | | | - Michael Allison
- Department of Medicine, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
- Addenbrookes Hepatology and Liver Transplantation Unit, Addenbrookes Hospital, Cambridge, UK
| | - Rebecca C. Fitzgerald
- MRC Cancer Unit, Hutchison/MRC Research Centre, University of Cambridge, Cambridge, UK
| | - Matthew Hoare
- Department of Medicine, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
- Addenbrookes Hepatology and Liver Transplantation Unit, Addenbrookes Hospital, Cambridge, UK
- CRUK Cambridge Institute, Cambridge, UK
| | - Victoria K. Snowdon
- Addenbrookes Hepatology and Liver Transplantation Unit, Addenbrookes Hospital, Cambridge, UK
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9
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Zhang C, Wang J, Zhang Z, Gong J, Wang H. An ultrasensitive isoprene gas sensor based on the In 2O 3/MoS 2 nanocomposite prepared by hydrothermal synthesis. RSC Adv 2023; 13:15826-15832. [PMID: 37250212 PMCID: PMC10209628 DOI: 10.1039/d3ra00608e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Accepted: 05/18/2023] [Indexed: 05/31/2023] Open
Abstract
Isoprene is one of the specific biomarkers of liver disease in human exhaled gas, which should be detected with a high response at an order of ppb in actual application. In this paper, the heterojunction between n-type In2O3 and MoS2 was proposed to improve the isoprene sensing properties. Both In2O3 and MoS2 were prepared by a hydrothermal method, and nanostructured In2O3 flowers and solid micro irregular MoS2 particles were mixed into the In2O3/MoS2 composite with a mol ratio of 6 : 4. The composite was characterized by EDS and XRD to confirm the element types and crystal types. The isoprene sensor was prepared by dipping the composite suspension on a ceramic substrate integrated with a sensing electrode and heating unit. The testing results of the sensor showed the highest response value of 1.8 to 100 ppb isoprene at 200 °C. Besides, the low detecting limit (less than 5 ppb isoprene) and excellent selectivity are also revealed, showing that the composite can be a good candidate sensing material for isoprene for application in breath analysis.
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Affiliation(s)
- Cheng Zhang
- State Key Laboratory for Manufacturing Systems Engineering China
- School of Mechanical Engineering Xi'an Jiaotong University Xi'an 710049 China
| | - Jiuhong Wang
- State Key Laboratory for Manufacturing Systems Engineering China
- School of Mechanical Engineering Xi'an Jiaotong University Xi'an 710049 China
| | - Ze Zhang
- State Key Laboratory for Manufacturing Systems Engineering China
- School of Mechanical Engineering Xi'an Jiaotong University Xi'an 710049 China
| | - Jin Gong
- State Key Laboratory for Manufacturing Systems Engineering China
- School of Mechanical Engineering Xi'an Jiaotong University Xi'an 710049 China
| | - Hairong Wang
- State Key Laboratory for Manufacturing Systems Engineering China
- School of Mechanical Engineering Xi'an Jiaotong University Xi'an 710049 China
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10
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P H, Rangarajan M, Pandya HJ. Breath VOC analysis and machine learning approaches for disease screening: a review. J Breath Res 2023; 17. [PMID: 36634360 DOI: 10.1088/1752-7163/acb283] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 01/12/2023] [Indexed: 01/14/2023]
Abstract
Early disease detection is often correlated with a reduction in mortality rate and improved prognosis. Currently, techniques like biopsy and imaging that are used to screen chronic diseases are invasive, costly or inaccessible to a large population. Thus, a non-invasive disease screening technology is the need of the hour. Existing non-invasive methods like gas chromatography-mass spectrometry, selected-ion flow-tube mass spectrometry, and proton transfer reaction-mass-spectrometry are expensive. These techniques necessitate experienced operators, making them unsuitable for a large population. Various non-invasive sources are available for disease detection, of which exhaled breath is preferred as it contains different volatile organic compounds (VOCs) that reflect the biochemical reactions in the human body. Disease screening by exhaled breath VOC analysis can revolutionize the healthcare industry. This review focuses on exhaled breath VOC biomarkers for screening various diseases with a particular emphasis on liver diseases and head and neck cancer as examples of diseases related to metabolic disorders and diseases unrelated to metabolic disorders, respectively. Single sensor and sensor array-based (Electronic Nose) approaches for exhaled breath VOC detection are briefly described, along with the machine learning techniques used for pattern recognition.
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Affiliation(s)
- Haripriya P
- Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore 560012, India
| | - Madhavan Rangarajan
- Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore 560012, India
| | - Hardik J Pandya
- Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore 560012, India.,Centre for Product Design and Manufacturing, Indian Institute of Science, Bangalore 560012, India
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11
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Westphal K, Dudzik D, Waszczuk-Jankowska M, Graff B, Narkiewicz K, Markuszewski MJ. Common Strategies and Factors Affecting Off-Line Breath Sampling and Volatile Organic Compounds Analysis Using Thermal Desorption-Gas Chromatography-Mass Spectrometry (TD-GC-MS). Metabolites 2022; 13:metabo13010008. [PMID: 36676933 PMCID: PMC9866406 DOI: 10.3390/metabo13010008] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 12/14/2022] [Accepted: 12/16/2022] [Indexed: 12/24/2022] Open
Abstract
An analysis of exhaled breath enables specialists to noninvasively monitor biochemical processes and to determine any pathological state in the human body. Breath analysis holds the greatest potential to remold and personalize diagnostics; however, it requires a multidisciplinary approach and collaboration of many specialists. Despite the fact that breath is considered to be a less complex matrix than blood, it is not commonly used as a diagnostic and prognostic tool for early detection of disordered conditions due to its problematic sampling, analysis, and storage. This review is intended to determine, standardize, and marshal experimental strategies for successful, reliable, and especially, reproducible breath analysis.
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Affiliation(s)
- Kinga Westphal
- Department of Hypertension and Diabetology, Medical University of Gdansk, 80-214 Gdansk, Poland
| | - Danuta Dudzik
- Department of Biopharmaceutics and Pharmacodynamics, Faculty of Pharmacy, Medical University of Gdansk, 80-416 Gdansk, Poland
- Correspondence: (D.D.); (M.J.M.); Tel.: +48-58-349-1493 (D.D.)
| | - Małgorzata Waszczuk-Jankowska
- Department of Biopharmaceutics and Pharmacodynamics, Faculty of Pharmacy, Medical University of Gdansk, 80-416 Gdansk, Poland
| | - Beata Graff
- Department of Hypertension and Diabetology, Medical University of Gdansk, 80-214 Gdansk, Poland
| | - Krzysztof Narkiewicz
- Department of Hypertension and Diabetology, Medical University of Gdansk, 80-214 Gdansk, Poland
| | - Michał Jan Markuszewski
- Department of Biopharmaceutics and Pharmacodynamics, Faculty of Pharmacy, Medical University of Gdansk, 80-416 Gdansk, Poland
- Correspondence: (D.D.); (M.J.M.); Tel.: +48-58-349-1493 (D.D.)
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12
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Wieczorek M, Weston A, Ledenko M, Thomas JN, Carter R, Patel T. A deep learning approach for detecting liver cirrhosis from volatolomic analysis of exhaled breath. Front Med (Lausanne) 2022; 9:992703. [PMID: 36250077 PMCID: PMC9556819 DOI: 10.3389/fmed.2022.992703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 09/08/2022] [Indexed: 11/21/2022] Open
Abstract
Liver disease such as cirrhosis is known to cause changes in the composition of volatile organic compounds (VOC) present in patient breath samples. Previous studies have demonstrated the diagnosis of liver cirrhosis from these breath samples, but studies are limited to a handful of discrete, well-characterized compounds. We utilized VOC profiles from breath samples from 46 individuals, 35 with cirrhosis and 11 healthy controls. A deep-neural network was optimized to discriminate between healthy controls and individuals with cirrhosis. A 1D convolutional neural network (CNN) was accurate in predicting which patients had cirrhosis with an AUC of 0.90 (95% CI: 0.75, 0.99). Shapley Additive Explanations characterized the presence of discrete, observable peaks which were implicated in prediction, and the top peaks (based on the average SHAP profiles on the test dataset) were noted. CNNs demonstrate the ability to predict the presence of cirrhosis based on a full volatolomics profile of patient breath samples. SHAP values indicate the presence of discrete, detectable peaks in the VOC signal.
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Affiliation(s)
- Mikolaj Wieczorek
- Digital Innovation Lab, Mayo Clinic, Jacksonville, FL, United States
| | - Alexander Weston
- Digital Innovation Lab, Mayo Clinic, Jacksonville, FL, United States
| | - Matthew Ledenko
- Department of Transplant, Mayo Clinic, Jacksonville, FL, United States
| | | | - Rickey Carter
- Digital Innovation Lab, Mayo Clinic, Jacksonville, FL, United States
| | - Tushar Patel
- Department of Transplant, Mayo Clinic, Jacksonville, FL, United States
- *Correspondence: Tushar Patel,
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13
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Krasnodębski M, Morawski M, Borkowski J, Grąt K, Stypułkowski J, Skalski M, Zhylko A, Krawczyk M, Grąt M. Skin Autofluorescence Measurement as Initial Assessment of Hepatic Parenchyma Quality in Patients Undergoing Liver Resection. J Clin Med 2022; 11:jcm11185341. [PMID: 36142988 PMCID: PMC9503381 DOI: 10.3390/jcm11185341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 09/01/2022] [Accepted: 09/09/2022] [Indexed: 11/16/2022] Open
Abstract
Skin autofluorescence (SAF) can detect advanced glycation end products (AGEs) that accumulate in tissues over time. AGEs reflect patients’ general health, and their pathological accumulation has been associated with various diseases. This study aimed to determine whether its measurements can correlate with the liver parenchyma quality. This prospective study included 186 patients who underwent liver resections. Liver fibrosis and/or steatosis > 10% were found in almost 30% of the patients. ROC analysis for SAF revealed the optimal cutoff point of 2.4 AU as an independent predictor for macrovesicular steatosis ≥ 10% with an AUC of 0.629 (95% CI 0.538−0.721, p = 0.006), 59.9% sensitivity, 62.4% specificity, and positive (PPV) and negative (NPV) predictive values of 45.7% and 74.1%, respectively. The optimal cutoff point for liver fibrosis was 2.3 AU with an AUC of 0.613 (95% CI 0.519−0.708, p = 0.018), 67.3% sensitivity, 55.2% specificity, and PPV and NPV of 37.1% and 81.2%, respectively. In the multivariable logistic regression model, SAF ≥ 2.4 AU (OR 2.16; 95% CI 1.05−4.43; p = 0.036) and BMI (OR 1.21; 95% CI 1.10−1.33, p < 0.001) were independent predictors of macrovesicular steatosis ≥ 10%. SAF may enhance the available non-invasive methods of detecting hepatic steatosis and fibrosis in patients prior to liver resection.
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Affiliation(s)
- Maciej Krasnodębski
- Department of General, Transplant, and Liver Surgery, Medical University of Warsaw, 02-097 Warsaw, Poland
- Correspondence: ; Tel.: +48-22-599-25-45
| | - Marcin Morawski
- Department of General, Transplant, and Liver Surgery, Medical University of Warsaw, 02-097 Warsaw, Poland
| | - Jan Borkowski
- Department of General, Transplant, and Liver Surgery, Medical University of Warsaw, 02-097 Warsaw, Poland
| | - Karolina Grąt
- Second Department of Clinical Radiology, Medical University of Warsaw, 02-097 Warsaw, Poland
| | - Jan Stypułkowski
- Department of General, Transplant, and Liver Surgery, Medical University of Warsaw, 02-097 Warsaw, Poland
| | - Michał Skalski
- Department of General, Transplant, and Liver Surgery, Medical University of Warsaw, 02-097 Warsaw, Poland
| | - Andriy Zhylko
- Department of General, Transplant, and Liver Surgery, Medical University of Warsaw, 02-097 Warsaw, Poland
| | - Marek Krawczyk
- Department of General, Transplant, and Liver Surgery, Medical University of Warsaw, 02-097 Warsaw, Poland
| | - Michał Grąt
- Department of General, Transplant, and Liver Surgery, Medical University of Warsaw, 02-097 Warsaw, Poland
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14
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Ogbodo JO, Arazu AV, Iguh TC, Onwodi NJ, Ezike TC. Volatile organic compounds: A proinflammatory activator in autoimmune diseases. Front Immunol 2022; 13:928379. [PMID: 35967306 PMCID: PMC9373925 DOI: 10.3389/fimmu.2022.928379] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 06/30/2022] [Indexed: 11/13/2022] Open
Abstract
The etiopathogenesis of inflammatory and autoimmune diseases, including pulmonary disease, atherosclerosis, and rheumatoid arthritis, has been linked to human exposure to volatile organic compounds (VOC) present in the environment. Chronic inflammation due to immune breakdown and malfunctioning of the immune system has been projected to play a major role in the initiation and progression of autoimmune disorders. Macrophages, major phagocytes involved in the regulation of chronic inflammation, are a major target of VOC. Excessive and prolonged activation of immune cells (T and B lymphocytes) and overexpression of the master pro-inflammatory constituents [cytokine and tumor necrosis factor-alpha, together with other mediators (interleukin-6, interleukin-1, and interferon-gamma)] have been shown to play a central role in the pathogenesis of autoimmune inflammatory responses. The function and efficiency of the immune system resulting in immunostimulation and immunosuppression are a result of exogenous and endogenous factors. An autoimmune disorder is a by-product of the overproduction of these inflammatory mediators. Additionally, an excess of these toxicants helps in promoting autoimmunity through alterations in DNA methylation in CD4 T cells. The purpose of this review is to shed light on the possible role of VOC exposure in the onset and progression of autoimmune diseases.
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Affiliation(s)
- John Onyebuchi Ogbodo
- Department of Science Laboratory Technology, University of Nigeria, Nsukkagu, Enugu State, Nigeria
| | - Amarachukwu Vivan Arazu
- Department of Science Laboratory Technology, University of Nigeria, Nsukkagu, Enugu State, Nigeria
| | - Tochukwu Chisom Iguh
- Department of Plant Science and Biotechnology, University of Nigeria, Nsukka, Enugu State, Nigeria
| | - Ngozichukwuka Julie Onwodi
- Department of Pharmaceutical Technology and Industrial Pharmacy, University of Nigeria, Nsukka, Enugu State, Nigeria
| | - Tobechukwu Christian Ezike
- Department of Biochemistry, University of Nigeria, Nsukka, Enugu State, Nigeria
- *Correspondence: Tobechukwu Christian Ezike,
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15
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Tian H, Chen S, Li D, Lou X, Chen C, Yu H. Simultaneous detection for adulterations of maltodextrin, sodium carbonate, and whey in raw milk using Raman spectroscopy and chemometrics. J Dairy Sci 2022; 105:7242-7252. [PMID: 35863924 DOI: 10.3168/jds.2021-21082] [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: 07/29/2021] [Accepted: 04/04/2022] [Indexed: 11/19/2022]
Abstract
To achieve rapid on-site identification of raw milk adulteration and simultaneously quantify the levels of various adulterants, we combined Raman spectroscopy with chemometrics to detect 3 of the most common adulterants. Raw milk was artificially adulterated with maltodextrin (0.5-15.0%; wt/wt), sodium carbonate (10-100 mg/kg), or whey (1.0-20.0%; wt/wt). Partial least square discriminant analysis (PLS-DA) classification and a partial least square (PLS) regression model were established using Raman spectra of 144 samples, among which 108 samples were used for training and 36 were used for validation. A model with excellent performance was obtained by spectral preprocessing with first derivative, and variable selection optimization with variable importance in the projection. The classification accuracy of the PLS-DA model was 95.83% for maltodextrin, 100% for sodium carbonate, 95.84% for whey, and 92.25% for pure raw milk. The PLS model had a detection limit of 1.46% for maltodextrin, 4.38 mg/kg for sodium carbonate, and 2.64% for whey. These results suggested that Raman spectroscopy combined with PLS-DA and PLS model can rapidly and efficiently detect adulterants of maltodextrin, sodium carbonate, and whey in raw milk.
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Affiliation(s)
- Huaixiang Tian
- School of Perfume and Aroma Technology, Shanghai Institute of Technology, Shanghai 201418, P.R. China
| | - Shuang Chen
- School of Perfume and Aroma Technology, Shanghai Institute of Technology, Shanghai 201418, P.R. China
| | - Dan Li
- School of Perfume and Aroma Technology, Shanghai Institute of Technology, Shanghai 201418, P.R. China
| | - Xinman Lou
- School of Perfume and Aroma Technology, Shanghai Institute of Technology, Shanghai 201418, P.R. China
| | - Chen Chen
- School of Perfume and Aroma Technology, Shanghai Institute of Technology, Shanghai 201418, P.R. China
| | - Haiyan Yu
- School of Perfume and Aroma Technology, Shanghai Institute of Technology, Shanghai 201418, P.R. China.
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16
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Holz O, van Vorstenbosch R, Günther F, Schuchardt S, Trinkmann F, van Schooten FJ, Smolinska A, Hohlfeld J. Changes of breath volatile organic compounds in healthy volunteers following segmental and inhalation endotoxin challenge. J Breath Res 2022; 16. [PMID: 35366648 DOI: 10.1088/1752-7163/ac6359] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 04/01/2022] [Indexed: 11/11/2022]
Abstract
Background It is still unclear how airway inflammation affects the breath volatile organic compounds (VOC) profile in exhaled air. We therefore analyzed breath following well-defined pulmonary endotoxin (lipopolysaccharide, LPS) challenges. Methods Breath was collected from 10 healthy non-smoking subjects at eight time points before and after segmental and whole lung LPS inhalation challenge. Four Tenax-TA® adsorption tubes were simultaneously loaded from an aluminum reservoir cylinder and independently analyzed by two research groups using gas chromatography - mass spectrometry. Airway inflammation was assessed in bronchoalveolar lavage (BAL) and in sputum after segmental and inhaled LPS challenge, respectively. Results Segmental LPS challenge significantly increased the median (interquartile range, IQR) percentage of neutrophils in BAL from 3.0 (4.2) % to 64.0 (7.3) %. The inhalation challenge increased sputum neutrophils from 33.9 (26.8) % to 78.3 (13.5) %. We observed increases in breath aldehydes at both time points after segmental and inhaled LPS challenge. These results were confirmed by an independent laboratory. The longitudinal breath analysis also revealed distinct VOC patterns related to environmental exposures, clinical procedures, and to metabolic changes after food intake. Conclusions Changes in breath aldehydes suggest a relationship to LPS induced inflammation compatible with lipid peroxidation processes within the lung. Findings from our longitudinal data highlight the need for future studies to better consider the potential impact of the multiple VOCs from detergents, hygiene or lifestyle products a subject is continuously exposed to. We suspect that this very individual "owncloud" exposure is contributing to an increased variability of breath aldehydes, which might limit a use as inflammatory markers in daily clinical practice.
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Affiliation(s)
- Olaf Holz
- Clinical Airway Research, Fraunhofer Institute for Toxicology and Experimental Medicine ITEM, Feodor-Lynen-Str. 15, Hannover, 30625, GERMANY
| | | | - Frank Günther
- Bio- and Environmental Analytics, Fraunhofer Institute for Toxicology and Experimental Medicine ITEM, Feodor-Lynen-Str. 15, Hannover, 30625, GERMANY
| | - Sven Schuchardt
- Bio- and Environmental Analytics, Fraunhofer-Institut fur Toxikologie und Experimentelle Medizin, Feodor-Lynen-Str. 15, Hannover, Niedersachsen, 30625, GERMANY
| | - Frederik Trinkmann
- Pneumology and Critical Care Medicine, Thoraxklinik at University Hospital Heidelberg, Röntgenstraße 1, Heidelberg, 69126, GERMANY
| | - Frederik Jan van Schooten
- Department of Toxicology, University of Maastricht, Universiteitssingel 50, THE NETHERLANDS, Maastricht, 6229 ER, NETHERLANDS
| | - Agnieszka Smolinska
- Toxicology Department, Maastricht University, Universiteitssingel 50, Maastricht, 6229 ER, NETHERLANDS
| | - Jens Hohlfeld
- ITEM, Fraunhofer Institute for Toxicology and Experimental Medicine, Nikolai-Fuchs-Str. 1, Hannover, 30625, GERMANY
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pyAIR-A New Software Tool for Breathomics Applications-Searching for Markers in TD-GC-HRMS Analysis. Molecules 2022; 27:molecules27072063. [PMID: 35408461 PMCID: PMC9000534 DOI: 10.3390/molecules27072063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 03/16/2022] [Accepted: 03/17/2022] [Indexed: 11/16/2022] Open
Abstract
Volatile metabolites in exhaled air have promising potential as diagnostic biomarkers. However, the combination of low mass, similar chemical composition, and low concentrations introduces the challenge of sorting the data to identify markers of value. In this paper, we report the development of pyAIR, a software tool for searching for volatile organic compounds (VOCs) markers in multi-group datasets, tailored for Thermal-Desorption Gas-Chromatography High Resolution Mass-Spectrometry (TD-GC-HRMS) output. pyAIR aligns the compounds between samples by spectral similarity coupled with retention times (RT), and statistically compares the groups for compounds that differ by intensity. This workflow was successfully tested and evaluated on gaseous samples spiked with 27 model VOCs at six concentrations, divided into three groups, down to 0.3 nL/L. All analytes were correctly detected and aligned. More than 80% were found to be significant markers with a p-value < 0.05; several were classified as possibly significant markers (p-value < 0.1), while a few were removed due to background level. In all group comparisons, low rates of false markers were found. These results showed the potential of pyAIR in the field of trace-level breathomics, with the capability to differentially examine several groups, such as stages of illness.
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18
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Bax C, Robbiani S, Zannin E, Capelli L, Ratti C, Bonetti S, Novelli L, Raimondi F, Di Marco F, Dellacà RL. An Experimental Apparatus for E-Nose Breath Analysis in Respiratory Failure Patients. Diagnostics (Basel) 2022; 12:776. [PMID: 35453824 PMCID: PMC9026987 DOI: 10.3390/diagnostics12040776] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Revised: 03/18/2022] [Accepted: 03/19/2022] [Indexed: 02/01/2023] Open
Abstract
Background: Non-invasive, bedside diagnostic tools are extremely important for tailo ring the management of respiratory failure patients. The use of electronic noses (ENs) for exhaled breath analysis has the potential to provide useful information for phenotyping different respiratory disorders and improving diagnosis, but their application in respiratory failure patients remains a challenge. We developed a novel measurement apparatus for analysing exhaled breath in such patients. Methods: The breath sampling apparatus uses hospital medical air and oxygen pipeline systems to control the fraction of inspired oxygen and prevent contamination of exhaled gas from ambient Volatile Organic Compounds (VOCs) It is designed to minimise the dead space and respiratory load imposed on patients. Breath odour fingerprints were assessed using a commercial EN with custom MOX sensors. We carried out a feasibility study on 33 SARS-CoV-2 patients (25 with respiratory failure and 8 asymptomatic) and 22 controls to gather data on tolerability and for a preliminary assessment of sensitivity and specificity. The most significant features for the discrimination between breath-odour fingerprints from respiratory failure patients and controls were identified using the Boruta algorithm and then implemented in the development of a support vector machine (SVM) classification model. Results: The novel sampling system was well-tolerated by all patients. The SVM differentiated between respiratory failure patients and controls with an accuracy of 0.81 (area under the ROC curve) and a sensitivity and specificity of 0.920 and 0.682, respectively. The selected features were significantly different in SARS-CoV-2 patients with respiratory failure versus controls and asymptomatic SARS-CoV-2 patients (p < 0.001 and 0.046, respectively). Conclusions: the developed system is suitable for the collection of exhaled breath samples from respiratory failure patients. Our preliminary results suggest that breath-odour fingerprints may be sensitive markers of lung disease severity and aetiology.
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Affiliation(s)
- Carmen Bax
- Department of Chemistry, Materials and Chemical Engineering “Giulio Natta” (DCMC), Politecnico di Milano, 20133 Milano, Italy; (C.B.); (C.R.)
| | - Stefano Robbiani
- TechRes Lab, Department of Electronics Information and Bioengineering (DEIB), Politecnico di Milano, 20133 Milano, Italy; (S.R.); (E.Z.); (R.L.D.)
| | - Emanuela Zannin
- TechRes Lab, Department of Electronics Information and Bioengineering (DEIB), Politecnico di Milano, 20133 Milano, Italy; (S.R.); (E.Z.); (R.L.D.)
| | - Laura Capelli
- Department of Chemistry, Materials and Chemical Engineering “Giulio Natta” (DCMC), Politecnico di Milano, 20133 Milano, Italy; (C.B.); (C.R.)
| | - Christian Ratti
- Department of Chemistry, Materials and Chemical Engineering “Giulio Natta” (DCMC), Politecnico di Milano, 20133 Milano, Italy; (C.B.); (C.R.)
| | - Simone Bonetti
- Unit of Pneumology, Azienda Ospedaliera Socio Sanitaria Territoriale Papa Giovanni XXIII, 24127 Bergamo, Italy; (S.B.); (L.N.); (F.R.); (F.D.M.)
- Department of Health Sciences, Università degli Studi di Milano, 20142 Milano, Italy
| | - Luca Novelli
- Unit of Pneumology, Azienda Ospedaliera Socio Sanitaria Territoriale Papa Giovanni XXIII, 24127 Bergamo, Italy; (S.B.); (L.N.); (F.R.); (F.D.M.)
| | - Federico Raimondi
- Unit of Pneumology, Azienda Ospedaliera Socio Sanitaria Territoriale Papa Giovanni XXIII, 24127 Bergamo, Italy; (S.B.); (L.N.); (F.R.); (F.D.M.)
| | - Fabiano Di Marco
- Unit of Pneumology, Azienda Ospedaliera Socio Sanitaria Territoriale Papa Giovanni XXIII, 24127 Bergamo, Italy; (S.B.); (L.N.); (F.R.); (F.D.M.)
- Department of Health Sciences, Università degli Studi di Milano, 20142 Milano, Italy
| | - Raffaele L. Dellacà
- TechRes Lab, Department of Electronics Information and Bioengineering (DEIB), Politecnico di Milano, 20133 Milano, Italy; (S.R.); (E.Z.); (R.L.D.)
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19
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Haworth JJ, Pitcher CK, Ferrandino G, Hobson AR, Pappan KL, Lawson JLD. Breathing new life into clinical testing and diagnostics: perspectives on volatile biomarkers from breath. Crit Rev Clin Lab Sci 2022; 59:353-372. [PMID: 35188863 DOI: 10.1080/10408363.2022.2038075] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Human breath offers several benefits for diagnostic applications, including simple, noninvasive collection. Breath is a rich source of clinically-relevant biological information; this includes a volatile fraction, where greater than 1,000 volatile organic compounds (VOCs) have been described so far, and breath aerosols that carry nucleic acids, proteins, signaling molecules, and pathogens. Many of these factors, especially VOCs, are delivered to the lung by the systemic circulation, and diffusion of candidate biomarkers from blood into breath allows systematic profiling of organismal health. Biomarkers on breath offer the capability to advance early detection and precision medicine in areas of global clinical need. Breath tests are noninvasive and can be performed at home or in a primary care setting, which makes them well-suited for the kind of public screening program that could dramatically improve the early detection of conditions such as lung cancer. Since measurements of VOCs on breath largely report on metabolic changes, this too aids in the early detection of a broader range of illnesses and can be used to detect metabolic shifts that could be targeted through precision medicine. Furthermore, the ability to perform frequent sampling has envisioned applications in monitoring treatment responses. Breath has been investigated in respiratory, liver, gut, and neurological diseases and in contexts as diverse as infectious diseases and cancer. Preclinical research studies using breath have been ongoing for some time, yet only a few breath-based diagnostics tests are currently available and in widespread clinical use. Most recently, tests assessing the gut microbiome using hydrogen and methane on breath, in addition to tests using urea to detect Helicobacter pylori infections have been released, yet there are many more applications of breath tests still to be realized. Here, we discuss the strengths of breath as a clinical sampling matrix and the technical challenges to be addressed in developing it for clinical use. Historically, a lack of standardized methodologies has delayed the discovery and validation of biomarker candidates, resulting in a proliferation of early-stage pilot studies. We will explore how advancements in breath collection and analysis are in the process of driving renewed progress in the field, particularly in the context of gastrointestinal and chronic liver disease. Finally, we will provide a forward-looking outlook for developing the next generation of clinically relevant breath tests and how they may emerge into clinical practice.
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20
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Nazir N, Abbas S, Nasir H, Hussain I. Electrochemical sensing of limonene using thiol capped gold nanoparticles and its detection in the real breath sample of a cirrhotic patient. J Electroanal Chem (Lausanne) 2022. [DOI: 10.1016/j.jelechem.2021.115977] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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21
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Hu W, Wu W, Jian Y, Haick H, Zhang G, Qian Y, Yuan M, Yao M. Volatolomics in healthcare and its advanced detection technology. NANO RESEARCH 2022; 15:8185-8213. [PMID: 35789633 PMCID: PMC9243817 DOI: 10.1007/s12274-022-4459-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 04/18/2022] [Accepted: 04/20/2022] [Indexed: 05/21/2023]
Abstract
Various diseases increasingly challenge the health status and life quality of human beings. Volatolome emitted from patients has been considered as a potential family of markers, volatolomics, for diagnosis/screening. There are two fundamental issues of volatolomics in healthcare. On one hand, the solid relationship between the volatolome and specific diseases needs to be clarified and verified. On the other hand, effective methods should be explored for the precise detection of volatolome. Several comprehensive review articles had been published in this field. However, a timely and systematical summary and elaboration is still desired. In this review article, the research methodology of volatolomics in healthcare is critically considered and given out, at first. Then, the sets of volatolome according to specific diseases through different body sources and the analytical instruments for their identifications are systematically summarized. Thirdly, the advanced electronic nose and photonic nose technologies for volatile organic compounds (VOCs) detection are well introduced. The existed obstacles and future perspectives are deeply thought and discussed. This article could give a good guidance to researchers in this interdisciplinary field, not only understanding the cutting-edge detection technologies for doctors (medicinal background), but also making reference to clarify the choice of aimed VOCs during the sensor research for chemists, materials scientists, electronics engineers, etc.
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Affiliation(s)
- Wenwen Hu
- School of Aerospace Science and Technology, Xidian University, Xi’an, 730107 China
| | - Weiwei Wu
- Interdisciplinary Research Center of Smart Sensors, School of Advanced Materials and Nanotechnology, Xidian University, Xi’an, 730107 China
| | - Yingying Jian
- Interdisciplinary Research Center of Smart Sensors, School of Advanced Materials and Nanotechnology, Xidian University, Xi’an, 730107 China
| | - Hossam Haick
- Faculty of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion-Israel Institute of Technology, Haifa, 3200002 Israel
| | - Guangjian Zhang
- Department of Thoracic Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, 710061 China
| | - Yun Qian
- Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Clinical Research Center for Oral Diseases of Zhejiang Province Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Hangzhou, 310006 China
| | - Miaomiao Yuan
- The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518033 China
| | - Mingshui Yao
- State Key Laboratory of Multi-phase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 310006 China
- Institute for Integrated Cell-Material Sciences, Kyoto University Institute for Advanced Study, Kyoto University, Kyoto, 606-8501 Japan
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22
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Thomas JN, Roopkumar J, Patel T. Machine learning analysis of volatolomic profiles in breath can identify non-invasive biomarkers of liver disease: A pilot study. PLoS One 2021; 16:e0260098. [PMID: 34847181 PMCID: PMC8631657 DOI: 10.1371/journal.pone.0260098] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Accepted: 11/02/2021] [Indexed: 11/18/2022] Open
Abstract
Disease-related effects on hepatic metabolism can alter the composition of chemicals in the circulation and subsequently in breath. The presence of disease related alterations in exhaled volatile organic compounds could therefore provide a basis for non-invasive biomarkers of hepatic disease. This study examined the feasibility of using global volatolomic profiles from breath analysis in combination with supervised machine learning to develop signature pattern-based biomarkers for cirrhosis. Breath samples were analyzed using thermal desorption-gas chromatography-field asymmetric ion mobility spectroscopy to generate breathomic profiles. A standardized collection protocol and analysis pipeline was used to collect samples from 35 persons with cirrhosis, 4 with non-cirrhotic portal hypertension, and 11 healthy participants. Molecular features of interest were identified to determine their ability to classify cirrhosis or portal hypertension. A molecular feature score was derived that increased with the stage of cirrhosis and had an AUC of 0.78 for detection. Chromatographic breath profiles were utilized to generate machine learning-based classifiers. Algorithmic models could discriminate presence or stage of cirrhosis with a sensitivity of 88–92% and specificity of 75%. These results demonstrate the feasibility of volatolomic profiling to classify clinical phenotypes using global breath output. These studies will pave the way for the development of non-invasive biomarkers of liver disease based on volatolomic signatures found in breath.
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Affiliation(s)
- Jonathan N Thomas
- Department of Transplantation, Division of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, Florida, United States of America
| | - Joanna Roopkumar
- Department of Transplantation, Division of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, Florida, United States of America
| | - Tushar Patel
- Department of Transplantation, Division of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, Florida, United States of America
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Gould O, Drabińska N, Ratcliffe N, de Lacy Costello B. Hyphenated Mass Spectrometry versus Real-Time Mass Spectrometry Techniques for the Detection of Volatile Compounds from the Human Body. Molecules 2021; 26:molecules26237185. [PMID: 34885767 PMCID: PMC8659178 DOI: 10.3390/molecules26237185] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 11/22/2021] [Accepted: 11/23/2021] [Indexed: 01/16/2023] Open
Abstract
Mass spectrometry (MS) is an analytical technique that can be used for various applications in a number of scientific areas including environmental, security, forensic science, space exploration, agri-food, and numerous others. MS is also continuing to offer new insights into the proteomic and metabolomic fields. MS techniques are frequently used for the analysis of volatile compounds (VCs). The detection of VCs from human samples has the potential to aid in the diagnosis of diseases, in monitoring drug metabolites, and in providing insight into metabolic processes. The broad usage of MS has resulted in numerous variations of the technique being developed over the years, which can be divided into hyphenated and real-time MS techniques. Hyphenated chromatographic techniques coupled with MS offer unparalleled qualitative analysis and high accuracy and sensitivity, even when analysing complex matrices (breath, urine, stool, etc.). However, these benefits are traded for a significantly longer analysis time and a greater need for sample preparation and method development. On the other hand, real-time MS techniques offer highly sensitive quantitative data. Additionally, real-time techniques can provide results in a matter of minutes or even seconds, without altering the sample in any way. However, real-time MS can only offer tentative qualitative data and suffers from molecular weight overlap in complex matrices. This review compares hyphenated and real-time MS methods and provides examples of applications for each technique for the detection of VCs from humans.
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Affiliation(s)
- Oliver Gould
- Centre for Research in Biosciences, Frenchay Campus, University of the West of England, Coldharbour Lane, Bristol BS16 1QY, UK; (N.R.); (B.d.L.C.)
- Correspondence: (O.G.); (N.D.)
| | - Natalia Drabińska
- Department of Chemistry and Biodynamics of Food, Institute of Animal Reproduction and Food Research, Polish Academy of Sciences, 10-748 Olsztyn, Poland
- Food Volatilomics and Sensomics Group, Faculty of Food Science and Nutrition, Poznan University of Life Sciences, 60-637 Poznan, Poland
- Correspondence: (O.G.); (N.D.)
| | - Norman Ratcliffe
- Centre for Research in Biosciences, Frenchay Campus, University of the West of England, Coldharbour Lane, Bristol BS16 1QY, UK; (N.R.); (B.d.L.C.)
| | - Ben de Lacy Costello
- Centre for Research in Biosciences, Frenchay Campus, University of the West of England, Coldharbour Lane, Bristol BS16 1QY, UK; (N.R.); (B.d.L.C.)
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24
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Comparative analysis of volatile organic compounds of breath and urine for distinguishing patients with liver cirrhosis from healthy controls by using electronic nose and voltammetric electronic tongue. Anal Chim Acta 2021; 1184:339028. [PMID: 34625262 DOI: 10.1016/j.aca.2021.339028] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 08/30/2021] [Accepted: 09/01/2021] [Indexed: 11/22/2022]
Abstract
Advanced stage detection of liver cirrhosis (LCi) would lead to high mortality rates in patients. Therefore, accurate and non-invasive tools for its early detection are highly needed using human emanations that may reflect this disease. Human breath, along with urine and blood, has long been one of the three main biological media for assessing human health and environmental exposure. The primary objective of this study was to explore the potential of using volatile organic compounds (VOCs) assay of exhaled breath and urine samples for the diagnosis of patients with LCi and healthy controls (HC). For this purpose, we used a hybrid electronic nose (E-nose) combining two sensor families, consisting of an array of five commercial chemical gas sensors and six interdigitated chemical gas sensors based on pristine or metal-doped WO3 nanowires for sensing volatile gases in exhaled breath. A voltammetric electronic tongue (VE-tongue), composed of five working electrodes, was dedicated to the analysis of urinary VOCs using cyclic voltammetry as a measurement technique. 54 patients were recruited for this study, comprising 22 patients with LCi, and 32 HC. The two-sensing systems coupled with pattern recognition methods, namely Principal Component Analysis (PCA) and Discriminant Function Analysis (DFA), were trained to classify data clusters associated with the health status of the two groups. The diagnostic performances of the E-nose and VE-tongue systems were studied by using the receiver operating characteristic (ROC) method. The use of the E-nose or the VE-tongue separately, trained with these appropriate classifiers, showed a slight overlap indicating no clear discrimination between LCi patients and HC. To improve the performance of both electronic sensing devices, an emerging strategy, namely a multi-sensor data fusion technique, was proposed as a second aim to overcome this shortcoming. The data fusion approach of the two systems, at a medium level of abstraction, has demonstrated the ability to assess human health and disease status using non-invasive screening tools based on exhaled breath and urinary VOC analysis. This suggests that exhaled breath as well as urinary VOCs are specific to a disease state and could potentially be used as diagnostic methods.
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25
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Breath-Taking Perspectives and Preliminary Data toward Early Detection of Chronic Liver Diseases. Biomedicines 2021; 9:biomedicines9111563. [PMID: 34829792 PMCID: PMC8615034 DOI: 10.3390/biomedicines9111563] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 10/20/2021] [Accepted: 10/22/2021] [Indexed: 12/17/2022] Open
Abstract
The gold standard method for chronic liver diseases diagnosis and staging remains liver biopsy, despite the spread of less invasive surrogate modalities based on imaging and blood biomarkers. Still, more than 50% of chronic liver disease cases are detected at later stages when patients exhibit episodes of liver decompensation. Breath analysis represents an attractive means for the development of non-invasive tests for several pathologies, including chronic liver diseases. In this perspective review, we summarize the main findings of studies that compared the breath of patients with chronic liver diseases against that of control subjects and found candidate biomarkers for a potential breath test. Interestingly, identified compounds with best classification performance are of exogenous origin and used as flavoring agents in food. Therefore, random dietary exposure of the general population to these compounds prevents the establishment of threshold levels for the identification of disease subjects. To overcome this limitation, we propose the exogenous volatile organic compounds (EVOCs) probe approach, where one or multiple of these flavoring agent(s) are administered at a standard dose and liver dysfunction associated with chronic liver diseases is evaluated as a washout of ingested compound(s). We report preliminary results in healthy subjects in support of the potential of the EVOC Probe approach.
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26
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Marder D, Tzanani N, Baratz A, Drug E, Prihed H, Weiss S, Ben-Chetrit E, Eichel R, Dagan S, Yishai Aviram L. A multiple-method comparative study using GC-MS, AMDIS and in-house-built software for the detection and identification of "unknown" volatile organic compounds in breath. JOURNAL OF MASS SPECTROMETRY : JMS 2021; 56:e4782. [PMID: 34523187 DOI: 10.1002/jms.4782] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Revised: 08/04/2021] [Accepted: 08/08/2021] [Indexed: 06/13/2023]
Abstract
The human respiratory system is a highly complex matrix that exhales many volatile organic compounds (VOCs). Breath-exhaled VOCs are often "unknowns" and possess low concentrations, which make their analysis, peak digging and data processing challenging. We report a new methodology, applied in a proof-of-concept experiment, for the detection of VOCs in breath. For this purpose, we developed and compared four complementary analysis methods based on solid-phase microextraction and thermal desorption (TD) tubes with two GC-mass spectrometer (MS) methods. Using eight model compounds, we obtained an LOD range of 0.02-20 ng/ml. We found that in breath analysis, sampling the exhausted air from Tedlar bags is better when TD tubes are used, not only because of the preconcentration but also due to the stability of analytes in the TD tubes. Data processing (peak picking) was based on two data retrieval approaches with an in-house script written for comparison and differentiation between two populations: sick and healthy. We found it best to use "raw" AMDIS deconvolution data (.ELU) rather than its NIST (.FIN) identification data for comparison between samples. A successful demonstration of this method was conducted in a pilot study (n = 21) that took place in a closed hospital ward (Covid-19 ward) with the discovery of four potential markers. These preliminary findings, at the molecular level, demonstrate the capabilities of our method and can be applied in larger and more comprehensive experiments in the omics world.
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Affiliation(s)
- Dana Marder
- Department of Analytical Chemistry, Israel Institute for Biological Research (IIBR), Ness Ziona, Israel
| | - Nitzan Tzanani
- Department of Analytical Chemistry, Israel Institute for Biological Research (IIBR), Ness Ziona, Israel
| | - Adva Baratz
- Department of Analytical Chemistry, Israel Institute for Biological Research (IIBR), Ness Ziona, Israel
| | - Eyal Drug
- Department of Analytical Chemistry, Israel Institute for Biological Research (IIBR), Ness Ziona, Israel
| | - Hagit Prihed
- Department of Analytical Chemistry, Israel Institute for Biological Research (IIBR), Ness Ziona, Israel
| | - Shay Weiss
- Department of Infectious Diseases, Israel Institute for Biological Research (IIBR), Ness Ziona, Israel
| | - Eli Ben-Chetrit
- Department of Infectious Diseases, Shaare Zedek Medical Center, Jerusalem, Israel
| | - Roni Eichel
- Stroke Unit/Neurological ICU, Shaare Zedek Medical Center, Jerusalem, Israel
| | - Shai Dagan
- Department of Analytical Chemistry, Israel Institute for Biological Research (IIBR), Ness Ziona, Israel
| | - Lilach Yishai Aviram
- Department of Analytical Chemistry, Israel Institute for Biological Research (IIBR), Ness Ziona, Israel
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27
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Liver Impairment-The Potential Application of Volatile Organic Compounds in Hepatology. Metabolites 2021; 11:metabo11090618. [PMID: 34564434 PMCID: PMC8471934 DOI: 10.3390/metabo11090618] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 09/08/2021] [Accepted: 09/09/2021] [Indexed: 12/20/2022] Open
Abstract
Liver diseases are currently diagnosed through liver biopsy. Its invasiveness, costs, and relatively low diagnostic accuracy require new techniques to be sought. Analysis of volatile organic compounds (VOCs) in human bio-matrices has received a lot of attention. It is known that a musty odour characterises liver impairment, resulting in the elucidation of volatile chemicals in the breath and other body fluids such as urine and stool, which may serve as biomarkers of a disease. Aims: This study aims to review all the studies found in the literature regarding VOCs in liver diseases, and to summarise all the identified compounds that could be used as diagnostic or prognostic biomarkers. The literature search was conducted on ScienceDirect and PubMed, and each eligible publication was qualitatively assessed by two independent evaluators using the SANRA critical appraisal tool. Results: In the search, 58 publications were found, and 28 were kept for inclusion: 23 were about VOCs in the breath, one in the bile, three in urine, and one in faeces. Each publication was graded from zero to ten. A graphical summary of the metabolic pathways showcasing the known liver disease-related VOCs and suggestions on how VOC analysis on liver impairment could be applied in clinical practice are given.
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28
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Wu X, Zhang J, Yan X, Zhu Y, Li W, Li P, Chen H, Zhang W, Cheng N, Xiang T. Characterization of Liver Failure by the Analysis of Exhaled Breath by Extractive Electrospray Ionization Mass Spectrometry (EESI-MS): A Pilot Study. ANAL LETT 2021. [DOI: 10.1080/00032719.2020.1793993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Affiliation(s)
- Xiaoping Wu
- Department of Infectious Disease, The First Affiliated Hospital of Nanchang University, Nanchang, China
- Jiangxi Key Laboratory of Liver Regeneration Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Jianguo Zhang
- Department of Infectious Disease, The First Affiliated Hospital of Nanchang University, Nanchang, China
- Jiangxi Key Laboratory of Liver Regeneration Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Xingyan Yan
- Department of Infectious Disease, The First Affiliated Hospital of Nanchang University, Nanchang, China
- Jiangxi Key Laboratory of Liver Regeneration Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Ying Zhu
- Department of Infectious Disease, The First Affiliated Hospital of Nanchang University, Nanchang, China
- Jiangxi Key Laboratory of Liver Regeneration Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Wei Li
- Department of Infectious Disease, The First Affiliated Hospital of Nanchang University, Nanchang, China
- Jiangxi Key Laboratory of Liver Regeneration Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Penghui Li
- Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang, China
| | - Huanwen Chen
- Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang, China
| | - Wei Zhang
- Department of Respiratory, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Na Cheng
- Department of Infectious Disease, The First Affiliated Hospital of Nanchang University, Nanchang, China
- Jiangxi Key Laboratory of Liver Regeneration Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Tianxin Xiang
- Department of Infectious Disease, The First Affiliated Hospital of Nanchang University, Nanchang, China
- Jiangxi Key Laboratory of Liver Regeneration Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, China
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29
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Ophelders DRMG, Boots AW, Hütten MC, Al-Nasiry S, Jellema RK, Spiller OB, van Schooten FJ, Smolinska A, Wolfs TGAM. Screening of Chorioamnionitis Using Volatile Organic Compound Detection in Exhaled Breath: A Pre-clinical Proof of Concept Study. Front Pediatr 2021; 9:617906. [PMID: 34123958 PMCID: PMC8187797 DOI: 10.3389/fped.2021.617906] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Accepted: 04/29/2021] [Indexed: 11/13/2022] Open
Abstract
Chorioamnionitis is a major risk factor for preterm birth and an independent risk factor for postnatal morbidity for which currently successful therapies are lacking. Emerging evidence indicates that the timing and duration of intra-amniotic infections are crucial determinants for the stage of developmental injury at birth. Insight into the dynamical changes of organ injury after the onset of chorioamnionitis revealed novel therapeutic windows of opportunity. Importantly, successful development and implementation of therapies in clinical care is currently impeded by a lack of diagnostic tools for early (prenatal) detection and surveillance of intra-amniotic infections. In the current study we questioned whether an intra-amniotic infection could be accurately diagnosed by a specific volatile organic compound (VOC) profile in exhaled breath of pregnant sheep. For this purpose pregnant Texel ewes were inoculated intra-amniotically with Ureaplasma parvum and serial collections of exhaled breath were performed for 6 days. Ureaplasma parvum infection induced a distinct VOC-signature in expired breath of pregnant sheep that was significantly different between day 0 and 1 vs. day 5 and 6. Based on a profile of only 15 discriminatory volatiles, animals could correctly be classified as either infected (day 5 and 6) or not (day 0 and 1) with a sensitivity of 83% and a specificity of 71% and an area under the curve of 0.93. Chemical identification of these distinct VOCs revealed the presence of a lipid peroxidation marker nonanal and various hydrocarbons including n-undecane and n-dodecane. These data indicate that intra-amniotic infections can be detected by VOC analyses of exhaled breath and might provide insight into temporal dynamics of intra-amniotic infection and its underlying pathways. In particular, several of these volatiles are associated with enhanced oxidative stress and undecane and dodecane have been reported as predictive biomarker of spontaneous preterm birth in humans. Applying VOC analysis for the early detection of intra-amniotic infections will lead to appropriate surveillance of these high-risk pregnancies, thereby facilitating appropriate clinical course of action including early treatment of preventative measures for pre-maturity-associated morbidities.
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Affiliation(s)
- Daan R M G Ophelders
- Department of Pediatrics, Maastricht University Medical Center+, Maastricht, Netherlands.,GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, Netherlands
| | - Agnes W Boots
- Department Pharmacology and Toxicology, Maastricht University, Maastricht, Netherlands.,NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, Netherlands
| | - Matthias C Hütten
- Department of Pediatrics, Maastricht University Medical Center+, Maastricht, Netherlands
| | - Salwan Al-Nasiry
- GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, Netherlands.,Department of Obstetrics and Gynecology, Maastricht University Medical Center+, Maastricht, Netherlands
| | - Reint K Jellema
- Department of Pediatrics, Maastricht University Medical Center+, Maastricht, Netherlands
| | - Owen B Spiller
- Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Frederik-Jan van Schooten
- Department Pharmacology and Toxicology, Maastricht University, Maastricht, Netherlands.,NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, Netherlands
| | - Agnieszka Smolinska
- Department Pharmacology and Toxicology, Maastricht University, Maastricht, Netherlands.,NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, Netherlands
| | - Tim G A M Wolfs
- Department of Pediatrics, Maastricht University Medical Center+, Maastricht, Netherlands.,GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, Netherlands
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30
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Ferrandino G, Orf I, Smith R, Calcagno M, Thind AK, Debiram-Beecham I, Williams M, Gandelman O, de Saedeleer A, Kibble G, Lydon AM, Mayhew CA, Allsworth M, Boyle B, van der Schee MP, Allison M, Hoare M, Snowdon VK. Breath Biopsy Assessment of Liver Disease Using an Exogenous Volatile Organic Compound-Toward Improved Detection of Liver Impairment. Clin Transl Gastroenterol 2020; 11:e00239. [PMID: 33094960 PMCID: PMC7498135 DOI: 10.14309/ctg.0000000000000239] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 07/21/2020] [Indexed: 12/29/2022] Open
Abstract
INTRODUCTION Liver cirrhosis and its complication - hepatocellular carcinoma (HCC) - have been associated with increased exhaled limonene. It is currently unclear whether this increase is more strongly associated with the presence of HCC or with the severity of liver dysfunction. METHODS We compared the exhaled breath of 40 controls, 32 cirrhotic patients, and 12 cirrhotic patients with HCC using the Breath Biopsy platform. Breath samples were analyzed by thermal desorption-gas chromatography-mass spectrometry. Limonene levels were compared between the groups and correlated to bilirubin, albumin, prothrombin time international normalized ratio, and alanine aminotransferase. RESULTS Breath limonene concentration was significantly elevated in subjects with cirrhosis-induced HCC (M: 82.1 ng/L, interquartile range [IQR]: 16.33-199.32 ng/L) and cirrhosis (M: 32.6 ng/L, IQR: 6.55-123.07 ng/L) compared with controls (M: 6.2 ng/L, IQR: 2.62-9.57 ng/L) (P value = 0.0005 and 0.0001, respectively) with no significant difference between 2 diseased groups (P value = 0.37). Levels of exhaled limonene correlated with serum bilirubin (R = 0.25, P value = 0.0016, r = 0.51), albumin (R = 0.58, P value = 5.3e-8, r = -0.76), and international normalized ratio (R = 0.29, P value = 0.0003, r = 0.51), but not with alanine aminotransferase (R = 0.01, P value = 0.36, r = 0.19). DISCUSSION Exhaled limonene levels are primarily affected by the presence of cirrhosis through reduced liver functional capacity, as indicated by limonene correlation with blood metrics of impaired hepatic clearance and protein synthesis capacity, without further alterations observed in subjects with HCC. This suggests that exhaled limonene is a potential non-invasive marker of liver metabolic capacity (see Visual abstract, Supplementary Digital Content 1, http://links.lww.com/CTG/A388).
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Affiliation(s)
| | - Isabel Orf
- Owlstone Medical, Cambridge, UK
- Current affiliation: Human Metabolome Technologies, Leiden, the Netherlands
| | | | | | | | - Irene Debiram-Beecham
- Department of Oncology, Hutchison/MRC Research Centre, University of Cambridge, Cambridge, UK
| | | | | | | | - Graham Kibble
- Department of Oncology, Hutchison/MRC Research Centre, University of Cambridge, Cambridge, UK
| | - Anne Marie Lydon
- Department of Oncology, Hutchison/MRC Research Centre, University of Cambridge, Cambridge, UK
| | - Chris A. Mayhew
- Institute for Breath Research, Leopold-Franzens-Universität Innsbruck, Dornbirn, Austria
- Molecular Physics Group, School of Physics and Astronomy, University of Birmingham, Birmingham, UK
| | | | | | | | - Michael Allison
- Department of Medicine, Cambridge Biomedical Research Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Addenbrooke's Hepatology and Liver Transplantation Unit, Addenbrooke's Hospital, Cambridge, UK
| | - Matthew Hoare
- Addenbrooke's Hepatology and Liver Transplantation Unit, Addenbrooke's Hospital, Cambridge, UK
- CRUK Cambridge Institute, Cambridge, UK
- Department of Medicine, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
| | - Victoria K. Snowdon
- Addenbrooke's Hepatology and Liver Transplantation Unit, Addenbrooke's Hospital, Cambridge, UK
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31
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Li S, Zhang Y, Mu S, Ma M, Liu X, Zhang H. Magnetic organic porous polymer as a solid-phase extraction adsorbent for enrichment and quantitation of gastric cancer biomarkers (P-cresol and 4-hydroxybenzoic acid) in urine samples by UPLC. Mikrochim Acta 2020; 187:388. [PMID: 32542460 DOI: 10.1007/s00604-020-04362-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Accepted: 05/31/2020] [Indexed: 01/15/2023]
Abstract
A novel magnetic organic porous polymer (denoted as Fe3O4@PC-POP) was developed for magnetic solid-phase extraction (MSPE) of two gastric cancer biomarkers (P-cresol and 4-hydroxybenzoic acid) from urine samples prior to high-performance liquid chromatographic analysis. The adsorbent was characterized by scanning electron microscope, transmission electron microscope, FTIR, powder X-ray diffraction, and other techniques. The result of dynamic light scattering shows that the particle size of the adsorbent is mainly distributed around 400 nm. Based on the design concept of the Fe3O4@PC-POP, the proposed material can effectively capture the target analytes through electrostatic and hydrophobic interaction mechanism. Furthermore, the enrichment conditions were optimized by the response surface method, and the method was utilized for the determination of P-cresol and 4-hydroxybenzoic acid in real urine samples from health and gastric cancer patients with high enrichment factors (34.8 times for P-cresol and 38.7 times for 4-hydroxybenzoic acid), low limit of detection (0.9-5.0 μg L-1), wide linear ranges (3.0-1000 μg L-1), satisfactory relative standard deviation (2.5%-8.5%), and apparent recoveries (85.3-112% for healthy people's and 86.0-112% for gastric cancer patients' urine samples). This study provides a guided principle for design of the versatile polymer with specific capturing of the target compounds from complex biological samples. Graphical abstract.
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Affiliation(s)
- Shanshan Li
- State Key Laboratory of Applied Organic Chemistry, Key Laboratory of Nonferrous Metals Chemistry and Resources Utilization of Gansu Province and College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou, 730000, China
| | - Yintang Zhang
- Henan Key Laboratory of Biomolecular Recognition and Sensing, College of Chemistry and Chemical Engineering, Shangqiu Normal University, Shangqiu, 476000, China
| | - Shuai Mu
- State Key Laboratory of Applied Organic Chemistry, Key Laboratory of Nonferrous Metals Chemistry and Resources Utilization of Gansu Province and College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou, 730000, China
| | - Minrui Ma
- State Key Laboratory of Applied Organic Chemistry, Key Laboratory of Nonferrous Metals Chemistry and Resources Utilization of Gansu Province and College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou, 730000, China
| | - Xiaoyan Liu
- State Key Laboratory of Applied Organic Chemistry, Key Laboratory of Nonferrous Metals Chemistry and Resources Utilization of Gansu Province and College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou, 730000, China.
| | - Haixia Zhang
- State Key Laboratory of Applied Organic Chemistry, Key Laboratory of Nonferrous Metals Chemistry and Resources Utilization of Gansu Province and College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou, 730000, China
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32
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Stavropoulos G, Jonkers DMAE, Mujagic Z, Koek GH, Masclee AAM, Pierik MJ, Dallinga JW, Van Schooten FJ, Smolinska A. Implementation of quality controls is essential to prevent batch effects in breathomics data and allow for cross-study comparisons. J Breath Res 2020; 14:026012. [PMID: 32120348 DOI: 10.1088/1752-7163/ab7b8d] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Exhaled breath analysis has become a promising monitoring tool for various ailments by identifying volatile organic compounds (VOCs) as indicative biomarkers excreted in the human body. Throughout the process of sampling, measuring, and data processing, non-biological variations are introduced in the data leading to batch effects. Algorithmic approaches have been developed to cope with within-study batch effects. Batch differences, however, may occur among different studies too, and up-to-date, ways to correct for cross-study batch effects are lacking; ultimately, cross-study comparisons to verify the uniqueness of found VOC profiles for a specific disease may be challenging. This study applies within-study batch-effect-correction approaches to correct for cross-study batch effects; suggestions are made that may help prevent the introduction of cross-study variations. Three batch-effect-correction algorithms were investigated: zero-centering, combat, and the analysis of covariance framework. The breath samples were collected from inflammatory bowel disease ([Formula: see text]), chronic liver disease ([Formula: see text]), and irritable bowel syndrome ([Formula: see text]) patients at different periods, and they were analysed via gas chromatography-mass spectrometry. Multivariate statistics were used to visualise and verify the results. The visualisation of the data before any batch-effect-correction technique was applied showed a clear distinction due to probable batch effects among the datasets of the three cohorts. The visualisation of the three datasets after implementing all three correction techniques showed that the batch effects were still present in the data. Predictions made using partial least squares discriminant analysis and random forest confirmed this observation. The within-study batch-effect-correction approaches fail to correct for cross-study batch effects present in the data. The present study proposes a framework for systematically standardising future breathomics data by using internal standards or quality control samples at regular analysis intervals. Further knowledge regarding the nature of the unsolicited variations among cross-study batches must be obtained to move the field further.
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Affiliation(s)
- Georgios Stavropoulos
- Department of Pharmacology and Toxicology, NUTRIM School of Nutrition and Translational Research, Maastricht University, Maastricht, The Netherlands
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Hageman JHJ, Nieuwenhuizen AG, van Ruth SM, Hageman JA, Keijer J. Application of Volatile Organic Compound Analysis in a Nutritional Intervention Study: Differential Responses during Five Hours Following Consumption of a High- and a Low-Fat Dairy Drink. Mol Nutr Food Res 2019; 63:e1900189. [PMID: 31327167 PMCID: PMC6852046 DOI: 10.1002/mnfr.201900189] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Revised: 07/10/2019] [Indexed: 02/06/2023]
Abstract
SCOPE Exhaled volatile organic compounds (VOCs) are a possible relevant target for noninvasive assessment of metabolic responses. Using a breathomics approach, it is aimed to explore whether lipid intake influences VOC profiles in exhaled air, and to obtain insight in intra- and interindividual variations. METHODS AND RESULTS Three human interventions are performed. In the first, 12 males consume a high-fat drink on three study days. In the second, 12 males receive a high- and a low-fat drink on 6 days. In the third, three volunteers consume the high-fat drink again for tentative compound identification. Participants are asked to exhale, for 5 h postprandial with 15-20 min intervals, into a proton-transfer-reaction mass spectrometer, and VOCs in exhaled air are measured. Consumption of a drink alters the VOC profile, with considerable interindividual variation and quantitative intraindividual differences between days. Consumption of two different drinks results in a distinct VOC profile, caused by several specific m/z values. Most of these compounds are identified as being related to ketone body formation and lipid oxidation, showing an increase in high- versus low-fat drink. CONCLUSION Exhaled VOCs have the potential to assess differences in metabolic responses induced by nutrition, especially when day-to-day variation can be minimized.
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Affiliation(s)
- Jeske H. J. Hageman
- Human and Animal PhysiologyWageningen University6708 WDWageningenThe Netherlands
- FrieslandCampina3818 LEAmersfoortThe Netherlands
| | | | - Saskia M. van Ruth
- Food Quality and Design/RIKILTWageningen University and Research6700 AEWageningenThe Netherlands
| | - Jos A. Hageman
- BiometrisWageningen University and Research6700 AAWageningenThe Netherlands
| | - Jaap Keijer
- Human and Animal PhysiologyWageningen University6708 WDWageningenThe Netherlands
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Martins AMA, Garcia JHP, Eberlin MN. Mass Spectrometry as a Clinical Integrative Tool to Evaluate Hepatocellular Carcinoma: Moving to the Mainstream. Expert Rev Gastroenterol Hepatol 2019; 13:821-825. [PMID: 31382786 DOI: 10.1080/17474124.2019.1651643] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Introduction: Since the pioneering work of J. J. Thomson on magnetic deflection of charged particles, mass spectrometry (MS) has become the most progressive clinical tool by continuously providing new applications in medical research. In hepatocellular carcinoma (HCC), MS can be used from surveillance in early stages of the disease to constant evaluation of effective treatments. Areas covered: This Special Report highlights the groundbreaking possibilities of mass spectrometry clinical application in the mainstream to evaluate HCC development and progression. Expert opinon: MS has been employed to understand a myriad of liver diseases, such as the identification of early biomarkers in cirrhosis and HVB and HVC, as well as metabolic alterations of lipidic imbalance in HCC due to fatty liver disease. In an integrative point-of-view, researchers worldwide are looking for molecular signatures that may represent more faithfully the complex scenario of the onset and progression of HCC. Following the steps of MELD score (Model of End-stage Liver Disease), which evaluates biochemical dysfunction of end-stage liver diseases, the necessity to use innovative attempts to pursue a molecular-MEaLD (mMEaLD - molecular Model for Early Liver Disease), shifting MS to the upstream and from the lab facilities into the mainstream, inside the surgery room.
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Affiliation(s)
- Aline M A Martins
- Translational Medicine Molecular Pathology, Medicine College, Universidade de Brasilia , Brasilia , Brazil.,Department of Surgery, Universidade Federal do Ceara , Fortaleza , Brazil
| | - J Huygens P Garcia
- Department of Surgery, Universidade Federal do Ceara , Fortaleza , Brazil
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De Vincentis A, Vespasiani-Gentilucci U, Sabatini A, Antonelli-Incalzi R, Picardi A. Exhaled breath analysis in hepatology: State-of-the-art and perspectives. World J Gastroenterol 2019; 25:4043-4050. [PMID: 31435162 PMCID: PMC6700691 DOI: 10.3748/wjg.v25.i30.4043] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Revised: 06/11/2019] [Accepted: 06/26/2019] [Indexed: 02/06/2023] Open
Abstract
Liver disease is characterized by breath exhalation of peculiar volatile organic compounds (VOCs). Thanks to the availability of sensitive technologies for breath analysis, this empiric approach has recently gained increasing attention in the context of hepatology, following the good results obtained in other fields of medicine. After the first studies that led to the identification of selected VOCs for pathophysiological purposes, subsequent research has progressively turned towards the comprehensive assessment of exhaled breath for potential clinical application. Specific VOC patterns were found to discriminate subjects with liver cirrhosis, to rate disease severity, and, eventually, to forecast adverse clinical outcomes even beyond existing scores. Preliminary results suggest that breath analysis could be useful also for detecting and staging hepatic encephalopathy and for predicting steatohepatitis in patients with nonalcoholic fatty liver disease. However, clinical translation is still hampered by a number of methodological limitations, including the lack of standardization and the consequent poor comparability between studies and the absence of external validation of obtained results. Given the low-cost and easy execution at bedside of the new technologies (e-nose), larger and well-structured studies are expected in order to provide the adequate level of evidence to support VOC analysis in clinical practice.
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Affiliation(s)
- Antonio De Vincentis
- Unit of Clinical Medicine and Hepatology, Unit of Geriatrics, Department of Medicine, Campus Bio-Medico University Hospital, Rome 00128, Italy
| | - Umberto Vespasiani-Gentilucci
- Unit of Clinical Medicine and Hepatology, Unit of Geriatrics, Department of Medicine, Campus Bio-Medico University Hospital, Rome 00128, Italy
| | - Anna Sabatini
- Unit of Electronics for sensor systems, Department of Engineering, University Campus Bio-Medico of Rome, Rome 00128, Italy
| | - Raffaele Antonelli-Incalzi
- Unit of Clinical Medicine and Hepatology, Unit of Geriatrics, Department of Medicine, Campus Bio-Medico University Hospital, Rome 00128, Italy
| | - Antonio Picardi
- Unit of Clinical Medicine and Hepatology, Unit of Geriatrics, Department of Medicine, Campus Bio-Medico University Hospital, Rome 00128, Italy
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Tu B, Bi J, Wu D, Zhao P, Shi L, Xie Y, Zhang X, Xu Z, Liu S, Wang X, Li X, Wang F, Qin E. Bloodstream infection due to Escherichia coli in liver cirrhosis patients: clinical features and outcomes. Oncotarget 2018; 9:35780-35789. [PMID: 30515269 PMCID: PMC6254670 DOI: 10.18632/oncotarget.23200] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2017] [Accepted: 05/29/2017] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVES The study aimed to investigate the clinical characteristics and antibiotic management, as well as independent indicators for survival within 30 days for Escherichia coli bloodstream infection (BSI) in liver cirrhosis. RESULTS Hospital-acquired BSI accounted for 60.07%, with prolonged hospital stay (P = 0.000). The prevalence of Extended Spectrum Beta-Lactamases (ESBL) producing bacteria was 48.26%, which correlated with ICU admission (P = 0.015) and high model for end-stage liver disease (MELD) score at onset of BSI (P = 0.035). Moreover, ESBL producing pathogens showed a high resistant to the common antibiotic families and 27.5% pathogens were confirmed as multidrug-resistant (MDR). MDR infection was significantly correlated with ESBL production, ICU admission, inappropriate empiric therapy, resistance to firstly selected antibiotic, and infection duration (P < 0.05 for all). In addition, appropriate empiric therapy within 48 h (HR = 2.581, 95% CI = 1.166-5.715), ICU admission (HR = 4.434, 95% CI = 2.130-8.823), HE (HR = 2.379, 95% CI = 1.115-5.073) and final MELD (HR = 1.074, 95% CI = 1.044-1.106) were independent indicators for 30-day mortality. MATERIALS AND METHODS The clinical data were collected from 288 eligible patients, and compared according to survival status and sites of infection acquisition. Drug resistance was recorded according to ESBL. In addition, cox regression analysis model was applied to evaluate the risk factors for 30-day mortality. CONCLUSIONS ESBL production can promote resistance to antibiotics in Escherichia coli. Antibiotic regimens, ICU admission, HE and MELD score can help identify the risk individuals who will benefit from the improved therapeutic regimens.
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Affiliation(s)
- Bo Tu
- Center for Infectious Disease, Beijing 302 Hospital, Beijing 100039, China
| | - Jingfeng Bi
- Center for Clinical Research Management, Beijing 302 Hospital, Beijing 100039, China
| | - Dan Wu
- Center for Infectious Disease, Beijing 302 Hospital, Beijing 100039, China
| | - Peng Zhao
- Center for Infectious Disease, Beijing 302 Hospital, Beijing 100039, China
| | - Lei Shi
- Center for Infectious Disease, Beijing 302 Hospital, Beijing 100039, China
| | - Yangxin Xie
- Center for Infectious Disease, Beijing 302 Hospital, Beijing 100039, China
| | - Xin Zhang
- Center for Infectious Disease, Beijing 302 Hospital, Beijing 100039, China
| | - Zhe Xu
- Center for Infectious Disease, Beijing 302 Hospital, Beijing 100039, China
| | - Suxia Liu
- Center for Liver Failure, Beijing 302 Hospital, Beijing 100039, China
| | - Xinhua Wang
- Center for Obstetrics and Gynecology, Beijing 302 Hospital, Beijing 100039, China
| | - Xiaoxi Li
- Center for Clinical Laboratory, Beijing 302 Hospital, Beijing 100039, China
| | - Fusheng Wang
- Center for Infectious Disease, Beijing 302 Hospital, Beijing 100039, China
| | - Enqiang Qin
- Center for Infectious Disease, Beijing 302 Hospital, Beijing 100039, China
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López-López Á, López-Gonzálvez Á, Barker-Tejeda TC, Barbas C. A review of validated biomarkers obtained through metabolomics. Expert Rev Mol Diagn 2018; 18:557-575. [PMID: 29808702 DOI: 10.1080/14737159.2018.1481391] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
INTRODUCTION Studying changes in the whole set of small molecules, final products of biochemical reactions in living systems or metabolites, is extremely appealing because they represent the best approach to identifying what occurs in an organism when samples are collected. However, their usefulness as potential biomarkers is limited by discoveries obtained in small groups without proper validation or even confirmation of the chemical structure. Areas covered: During the past 5 years, more than 900 papers have been published on metabolomics for biomarker discovery, but the numbers are much lower when some criteria of validation are applied. In total, 102 papers have been included in this review. The most frequent disease areas in which these markers have been discovered include the following: cancer, diabetes, and related diseases and neurodegenerative, cardiovascular, autoimmune, liver, and kidney diseases. Expert commentary: Metabolomics has been demonstrated as rapidly growing due to the improvements in instrumentation, mainly mass spectrometry, and data mining software. For application in the clinic, the results should be validated in different stages, from analytical validation to validation in independent sets of samples, using thousands of samples from different sources.
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Affiliation(s)
- Ángeles López-López
- a Centre for Metabolomics and Bioanalysis (CEMBIO), Facultad de Farmacia , Universidad CEU San Pablo , Madrid , Spain
| | - Ángeles López-Gonzálvez
- a Centre for Metabolomics and Bioanalysis (CEMBIO), Facultad de Farmacia , Universidad CEU San Pablo , Madrid , Spain
| | - Tomás Clive Barker-Tejeda
- a Centre for Metabolomics and Bioanalysis (CEMBIO), Facultad de Farmacia , Universidad CEU San Pablo , Madrid , Spain
| | - Coral Barbas
- a Centre for Metabolomics and Bioanalysis (CEMBIO), Facultad de Farmacia , Universidad CEU San Pablo , Madrid , Spain
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Tebani A, Afonso C, Bekri S. Advances in metabolome information retrieval: turning chemistry into biology. Part I: analytical chemistry of the metabolome. J Inherit Metab Dis 2018; 41:379-391. [PMID: 28840392 PMCID: PMC5959978 DOI: 10.1007/s10545-017-0074-y] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2017] [Revised: 06/28/2017] [Accepted: 07/14/2017] [Indexed: 12/20/2022]
Abstract
Metabolites are small molecules produced by enzymatic reactions in a given organism. Metabolomics or metabolic phenotyping is a well-established omics aimed at comprehensively assessing metabolites in biological systems. These comprehensive analyses use analytical platforms, mainly nuclear magnetic resonance spectroscopy and mass spectrometry, along with associated separation methods to gather qualitative and quantitative data. Metabolomics holistically evaluates biological systems in an unbiased, data-driven approach that may ultimately support generation of hypotheses. The approach inherently allows the molecular characterization of a biological sample with regard to both internal (genetics) and environmental (exosome, microbiome) influences. Metabolomics workflows are based on whether the investigator knows a priori what kind of metabolites to assess. Thus, a targeted metabolomics approach is defined as a quantitative analysis (absolute concentrations are determined) or a semiquantitative analysis (relative intensities are determined) of a set of metabolites that are possibly linked to common chemical classes or a selected metabolic pathway. An untargeted metabolomics approach is a semiquantitative analysis of the largest possible number of metabolites contained in a biological sample. This is part I of a review intending to give an overview of the state of the art of major metabolic phenotyping technologies. Furthermore, their inherent analytical advantages and limits regarding experimental design, sample handling, standardization and workflow challenges are discussed.
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Affiliation(s)
- Abdellah Tebani
- Department of Metabolic Biochemistry, Rouen University Hospital, 76000, Rouen, France
- Normandie Université, UNIROUEN, CHU Rouen, IRIB, INSERM U1245, 76000, Rouen, France
- Normandie Université, UNIROUEN, INSA Rouen, CNRS, COBRA, 76000, Rouen, France
| | - Carlos Afonso
- Normandie Université, UNIROUEN, INSA Rouen, CNRS, COBRA, 76000, Rouen, France
| | - Soumeya Bekri
- Department of Metabolic Biochemistry, Rouen University Hospital, 76000, Rouen, France.
- Normandie Université, UNIROUEN, CHU Rouen, IRIB, INSERM U1245, 76000, Rouen, France.
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Kitiyakara T, Redmond S, Unwanatham N, Rattanasiri S, Thakkinstian A, Tangtawee P, Mingphruedhi S, Sobhonslidsuk A, Intaraprasong P, Kositchaiwat C. The detection of hepatocellular carcinoma (HCC) from patients' breath using canine scent detection: a proof-of-concept study. J Breath Res 2017. [PMID: 28649095 DOI: 10.1088/1752-7163/aa7b8e] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Patients with hepatocellular carcinoma (HCC) have poor outcomes as a result of late detection of the disease. We investigated the possibility of using smell detection by dogs for detecting HCC from the breath of patients. Patients whose diagnosis of HCC was confirmed histologically or radiologically according to the American Association for the Study of Liver Diseases criteria had breaths collected using face masks and transported to the study test site. The numbering of the HCC samples was sent in a sealed envelope to blind the dog trainer during testing but allow for correct rewarding of the dog afterwards. One golden retriever was trained to detect HCC with positive feedback using known samples of HCC and healthy controls in a step-wise manner. The controls were selected from hospital staff and relatives of patients who were not involved in the study. They were questioned about the risks of their disease before selection. When the trainer was confident that the dog could recognize the HCC scent, blind testing was performed using 1 HCC : 3 healthy controls per test run. Once the dog signaled on a specimen, it was given a reward. The correct-detection rate was compared to the theoretical detection rate expected based on chance of 25% using the statistical one-sample test of proportions. Thirty-seven HCC patients were tested. The patients had a mean age of 58 years and 21/37 were male. Seventeen patients had hepatitis B and 14 patients had hepatitis C. Twenty-six patients had one HCC lesion; four patients had two lesions in the liver, whilst seven had many lesions. The number of patients in the very early, early, intermediate, advanced, and terminal stages of the Barcelona Clinic Liver Cancer classification was 5, 9, 21, 1, and 1, respectively. The dog detected correctly in 29 runs. The sensitivity for canine detection was 78% (95% CI: 62%-90%). Compared to the 25% correct indication expected based on chance, this was statistically significant (p < 0.001). CONCLUSION This is the first study to look at the possibility of detecting HCC from breath using canine olfaction. Our results show that this is possible with an accuracy of 78% (p < 0.001 when compared to chance alone), and are thus a proof of concept. Further refinement of the process of detection will be needed before clinical application.
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Affiliation(s)
- Taya Kitiyakara
- Division of Gastroenterology and Hepatology, Department of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
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Nakhleh MK, Quatredeniers M, Haick H. Detection of halitosis in breath: Between the past, present, and future. Oral Dis 2017. [DOI: 10.1111/odi.12699] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Affiliation(s)
- MK Nakhleh
- Univ Paris-Sud; Faculté de Médecine; Université Paris-Saclay; Le Kremlin Bicêtre France
- AP-HP; DHU TORINO; Service de Pneumologie; Hôpital Bicêtre; Le Kremlin Bicêtre France
- Inserm UMR_S 999; LabExLERMIT; Hôpital Marie Lannelongue; Le Plessis Robinson France
| | - M Quatredeniers
- Univ Paris-Sud; Faculté de Médecine; Université Paris-Saclay; Le Kremlin Bicêtre France
- AP-HP; DHU TORINO; Service de Pneumologie; Hôpital Bicêtre; Le Kremlin Bicêtre France
- Inserm UMR_S 999; LabExLERMIT; Hôpital Marie Lannelongue; Le Plessis Robinson France
| | - H Haick
- Department of Chemical Engineering and Russell Berrie Nanotechnology Institute; Technion-Israel Institute of Technology; Haifa Israel
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De Vincentis A, Pennazza G, Santonico M, Vespasiani-Gentilucci U, Galati G, Gallo P, Zompanti A, Pedone C, Antonelli Incalzi R, Picardi A. Breath-print analysis by e-nose may refine risk stratification for adverse outcomes in cirrhotic patients. Liver Int 2017; 37:242-250. [PMID: 27496750 DOI: 10.1111/liv.13214] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2016] [Accepted: 08/02/2016] [Indexed: 12/17/2022]
Abstract
BACKGROUND & AIMS The spectrum of volatile organic compounds in the exhaled breath (breath-print, BP) has been shown to characterize patients with cirrhosis and with worse hepatic function. However, the association of different BPs with clinically relevant outcomes has not been described yet. Hence, we aimed to evaluate the association between BPs, mortality and hospitalization in cirrhotic patients and to compare it with that of the "classical" prognostic indices (Child-Pugh Classification [CPC] and MELD). METHODS Eighty-nine cirrhotic patients (M/F 59/30, mean age 64.8 ± 11.3, CPC A/B/C 37/33/19) were recruited and followed up for a median time of 23 months. Clinical and biochemical data were collected. Breath collection and analysis were obtained through Pneumopipe® and BIONOTE e-nose respectively. RESULTS Four different BP clusters (A, B, C, D) were identified. BP clusters A and D were associated with a significantly increased risk of mortality (HR 2.9, 95% confidence intervals [CI] 1.5-5.6) and hospitalization (HR 2.6, 95% CI 1.4-4.6), even in multiple adjusted models including CPC and MELD score (adjusted [a]HR 2.8, 95% CI 1.1-7.0 for mortality and aHR 2.2, 95% CI 1.1-4.2 for hospitalization). CPC C maintained the strongest association with both mortality (aHR 17.6, 95% CI 1.8-174.0) and hospitalization (aHR 12.4, 95% CI 2.0-75.8). CONCLUSIONS This pilot study demonstrates that BP clusters are associated with significant clinical endpoints (mortality and hospitalization) even independently from "classical" prognostic indices. Even though further studies are warranted on this topic, our findings suggest that the e-nose may become an adjunctive aid to stratify the risk of adverse outcomes in cirrhotic patients.
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Affiliation(s)
- Antonio De Vincentis
- Clinical Medicine and Hepatology Department, Campus Bio-Medico University, Rome, Italy
| | - Giorgio Pennazza
- Center for Integrated Research - CIR, Unit of Electronics for Sensor Systems, Campus Bio-Medico University, Rome, Italy
| | - Marco Santonico
- Center for Integrated Research - CIR, Unit of Electronics for Sensor Systems, Campus Bio-Medico University, Rome, Italy
| | | | - Giovanni Galati
- Clinical Medicine and Hepatology Department, Campus Bio-Medico University, Rome, Italy
| | - Paolo Gallo
- Clinical Medicine and Hepatology Department, Campus Bio-Medico University, Rome, Italy
| | - Alessandro Zompanti
- Center for Integrated Research - CIR, Unit of Electronics for Sensor Systems, Campus Bio-Medico University, Rome, Italy
| | - Claudio Pedone
- Chair of Geriatrics, Unit of Respiratory Pathophysiology, Campus Bio-Medico University, Rome, Italy
| | - Raffaele Antonelli Incalzi
- Chair of Geriatrics, Unit of Respiratory Pathophysiology, Campus Bio-Medico University, Rome, Italy.,San Raffaele- Cittadella della Carità Foundation, Taranto, Italy
| | - Antonio Picardi
- Clinical Medicine and Hepatology Department, Campus Bio-Medico University, Rome, Italy
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Rees CA, Franchina FA, Nordick KV, Kim PJ, Hill JE. Expanding the Klebsiella pneumoniae volatile metabolome using advanced analytical instrumentation for the detection of novel metabolites. J Appl Microbiol 2017; 122:785-795. [PMID: 27930839 DOI: 10.1111/jam.13372] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2016] [Revised: 11/03/2016] [Accepted: 11/29/2016] [Indexed: 12/15/2022]
Abstract
AIMS The purpose of this study was to identify the volatile molecules produced by the pathogenic Gram-negative bacterium Klebsiella pneumoniae (ATCC 13883) during in vitro growth using comprehensive two-dimensional gas chromatography coupled to time-of-flight mass spectrometry (GC×GC-TOFMS). METHODS AND RESULTS Klebsiella pneumoniae ATCC 13883 was incubated in lysogeny broth to mid-exponential and stationary growth phases. Headspace volatile molecules from culture supernatants were concentrated using solid-phase microextraction (SPME) and analysed via GC×GC-TOFMS. Ninety-two K. pneumoniae-associated volatile molecules were detected, of which 78 (85%) were detected at both phases of growth and 14 (15%) were detected at either mid-exponential or stationary growth phases. CONCLUSIONS This study has increased the total number of reported K. pneumoniae-associated volatile molecules from 77 to 150, demonstrating the sensitivity and resolution achieved by employing GC×GC-TOFMS for the analysis of bacterial headspace volatiles. SIGNIFICANCE AND IMPACT OF THE STUDY This study represents an early-stage comprehensive volatile metabolomic analysis of an opportunistic bacterial pathogen. Characterizing the volatile molecules produced by K. pneumoniae during in vitro growth could provide us with a better understanding of this organisms' metabolism, an area that has not been extensively studied to date.
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Affiliation(s)
- C A Rees
- Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - F A Franchina
- Thayer School of Engineering at Dartmouth, Hanover, NH, USA
| | | | - P J Kim
- Dartmouth College, Hanover, NH, USA
| | - J E Hill
- Geisel School of Medicine at Dartmouth, Hanover, NH, USA.,Thayer School of Engineering at Dartmouth, Hanover, NH, USA
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Lawal O, Ahmed WM, Nijsen TME, Goodacre R, Fowler SJ. Exhaled breath analysis: a review of 'breath-taking' methods for off-line analysis. Metabolomics 2017; 13:110. [PMID: 28867989 PMCID: PMC5563344 DOI: 10.1007/s11306-017-1241-8] [Citation(s) in RCA: 134] [Impact Index Per Article: 19.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2017] [Accepted: 07/24/2017] [Indexed: 12/12/2022]
Abstract
BACKGROUND The potential of exhaled breath sampling and analysis has long attracted interest in the areas of medical diagnosis and disease monitoring. This interest is attributed to its non-invasive nature, access to an unlimited sample supply (i.e., breath), and the potential to facilitate a rapid at patient diagnosis. However, progress from laboratory setting to routine clinical practice has been slow. Different methodologies of breath sampling, and the consequent difficulty in comparing and combining data, are considered to be a major contributor to this. To fulfil the potential of breath analysis within clinical and pre-clinical medicine, standardisation of some approaches to breath sampling and analysis will be beneficial. OBJECTIVES The aim of this review is to investigate the heterogeneity of breath sampling methods by performing an in depth bibliometric search to identify the current state of art in the area. In addition, the review will discuss and critique various breath sampling methods for off-line breath analysis. METHODS Literature search was carried out in databases MEDLINE, BIOSIS, EMBASE, INSPEC, COMPENDEX, PQSCITECH, and SCISEARCH using the STN platform which delivers peer-reviewed articles. Keywords searched for include breath, sampling, collection, pre-concentration, volatile. Forward and reverse search was then performed on initially included articles. The breath collection methodologies of all included articles was subsequently reviewed. RESULTS Sampling methods differs between research groups, for example regarding the portion of breath being targeted. Definition of late expiratory breath varies between studies. CONCLUSIONS Breath analysis is an interdisciplinary field of study using clinical, analytical chemistry, data processing, and metabolomics expertise. A move towards standardisation in breath sampling is currently being promoted within the breath research community with a view to harmonising analysis and thereby increasing robustness and inter-laboratory comparisons.
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Affiliation(s)
- Oluwasola Lawal
- 0000000121662407grid.5379.8Division of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- 0000 0004 0398 9387grid.417284.cPhilips Research, Royal Philips B.V., Eindhoven, The Netherlands
- 0000000121662407grid.5379.8School of Chemistry, Manchester Institute of Biotechnology, The University of Manchester, Manchester, UK
| | - Waqar M. Ahmed
- 0000000121662407grid.5379.8Division of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- 0000 0004 0398 9387grid.417284.cPhilips Research, Royal Philips B.V., Eindhoven, The Netherlands
- 0000000121662407grid.5379.8School of Chemistry, Manchester Institute of Biotechnology, The University of Manchester, Manchester, UK
| | - Tamara M. E. Nijsen
- 0000 0004 0398 9387grid.417284.cPhilips Research, Royal Philips B.V., Eindhoven, The Netherlands
| | - Royston Goodacre
- 0000000121662407grid.5379.8School of Chemistry, Manchester Institute of Biotechnology, The University of Manchester, Manchester, UK
| | - Stephen J. Fowler
- 0000000121662407grid.5379.8Division of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- 0000 0004 0430 9363grid.5465.2Manchester Academic Health Science Centre, The University of Manchester and University Hospital of South Manchester NHS Foundation Trust, Manchester, UK
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Beale DJ, Jones OAH, Karpe AV, Dayalan S, Oh DY, Kouremenos KA, Ahmed W, Palombo EA. A Review of Analytical Techniques and Their Application in Disease Diagnosis in Breathomics and Salivaomics Research. Int J Mol Sci 2016; 18:E24. [PMID: 28025547 PMCID: PMC5297659 DOI: 10.3390/ijms18010024] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Revised: 12/12/2016] [Accepted: 12/16/2016] [Indexed: 12/14/2022] Open
Abstract
The application of metabolomics to biological samples has been a key focus in systems biology research, which is aimed at the development of rapid diagnostic methods and the creation of personalized medicine. More recently, there has been a strong focus towards this approach applied to non-invasively acquired samples, such as saliva and exhaled breath. The analysis of these biological samples, in conjunction with other sample types and traditional diagnostic tests, has resulted in faster and more reliable characterization of a range of health disorders and diseases. As the sampling process involved in collecting exhaled breath and saliva is non-intrusive as well as comparatively low-cost and uses a series of widely accepted methods, it provides researchers with easy access to the metabolites secreted by the human body. Owing to its accuracy and rapid nature, metabolomic analysis of saliva and breath (known as salivaomics and breathomics, respectively) is a rapidly growing field and has shown potential to be effective in detecting and diagnosing the early stages of numerous diseases and infections in preclinical studies. This review discusses the various collection and analyses methods currently applied in two of the least used non-invasive sample types in metabolomics, specifically their application in salivaomics and breathomics research. Some of the salient research completed in this field to date is also assessed and discussed in order to provide a basis to advocate their use and possible future scientific directions.
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Affiliation(s)
- David J Beale
- Commonwealth Scientific & Industrial Research Organization (CSIRO), Land & Water, P.O. Box 2583, Brisbane, QLD 4001, Australia.
| | - Oliver A H Jones
- Australian Centre for Research on Separation Science, School of Science, RMIT University, P.O. Box 2547, Melbourne, VIC 3001, Australia.
| | - Avinash V Karpe
- Commonwealth Scientific & Industrial Research Organization (CSIRO), Land & Water, P.O. Box 2583, Brisbane, QLD 4001, Australia.
- Department of Chemistry and Biotechnology, Swinburne University of Technology, P.O. Box 218, Hawthorn, VIC 3122, Australia.
| | - Saravanan Dayalan
- Metabolomics Australia, Bio21 Molecular Science and Biotechnology Institute, University of Melbourne, 30 Flemington Road, Parkville, VIC 3010, Australia.
| | - Ding Yuan Oh
- WHO Collaborating Centre for Reference and Research on Influenza (VIDRL), Peter Doherty Institute for Infection and Immunity, 792 Elizabeth Street, Melbourne, VIC 3000, Australia.
- School of Applied and Biomedical Sciences, Federation University, Churchill, VIC 3350, Australia.
| | - Konstantinos A Kouremenos
- Metabolomics Australia, Bio21 Molecular Science and Biotechnology Institute, University of Melbourne, 30 Flemington Road, Parkville, VIC 3010, Australia.
| | - Warish Ahmed
- Commonwealth Scientific & Industrial Research Organization (CSIRO), Land & Water, P.O. Box 2583, Brisbane, QLD 4001, Australia.
| | - Enzo A Palombo
- Department of Chemistry and Biotechnology, Swinburne University of Technology, P.O. Box 218, Hawthorn, VIC 3122, Australia.
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45
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Bekri S. The role of metabolomics in precision medicine. EXPERT REVIEW OF PRECISION MEDICINE AND DRUG DEVELOPMENT 2016. [DOI: 10.1080/23808993.2016.1273067] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Affiliation(s)
- Soumeya Bekri
- Department of Metabolic Biochemistry, Rouen University Hospital, Rouen 76000, France
- Normandie Univ, UNIROUEN, INSERM, CHU Rouen, IRIB, INSERM U1245, Rouen 76000, France
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46
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Tebani A, Abily-Donval L, Afonso C, Marret S, Bekri S. Clinical Metabolomics: The New Metabolic Window for Inborn Errors of Metabolism Investigations in the Post-Genomic Era. Int J Mol Sci 2016; 17:ijms17071167. [PMID: 27447622 PMCID: PMC4964538 DOI: 10.3390/ijms17071167] [Citation(s) in RCA: 77] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2016] [Revised: 07/12/2016] [Accepted: 07/15/2016] [Indexed: 12/29/2022] Open
Abstract
Inborn errors of metabolism (IEM) represent a group of about 500 rare genetic diseases with an overall estimated incidence of 1/2500. The diversity of metabolic pathways involved explains the difficulties in establishing their diagnosis. However, early diagnosis is usually mandatory for successful treatment. Given the considerable clinical overlap between some inborn errors, biochemical and molecular tests are crucial in making a diagnosis. Conventional biological diagnosis procedures are based on a time-consuming series of sequential and segmented biochemical tests. The rise of “omic” technologies offers holistic views of the basic molecules that build a biological system at different levels. Metabolomics is the most recent “omic” technology based on biochemical characterization of metabolites and their changes related to genetic and environmental factors. This review addresses the principles underlying metabolomics technologies that allow them to comprehensively assess an individual biochemical profile and their reported applications for IEM investigations in the precision medicine era.
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Affiliation(s)
- Abdellah Tebani
- Department of Metabolic Biochemistry, Rouen University Hospital, Rouen 76031, France.
- Normandie Univ, UNIROUEN, INSERM, CHU Rouen, IRIB, Laboratoire NeoVasc ERI28, Rouen 76000, France.
- Normandie Univ, UNIROUEN, INSA Rouen, CNRS, COBRA, Rouen 76000, France.
| | - Lenaig Abily-Donval
- Normandie Univ, UNIROUEN, INSERM, CHU Rouen, IRIB, Laboratoire NeoVasc ERI28, Rouen 76000, France.
- Department of Neonatal Pediatrics and Intensive Care, Rouen University Hospital, Rouen 76031, France.
| | - Carlos Afonso
- Normandie Univ, UNIROUEN, INSA Rouen, CNRS, COBRA, Rouen 76000, France.
| | - Stéphane Marret
- Normandie Univ, UNIROUEN, INSERM, CHU Rouen, IRIB, Laboratoire NeoVasc ERI28, Rouen 76000, France.
- Department of Neonatal Pediatrics and Intensive Care, Rouen University Hospital, Rouen 76031, France.
| | - Soumeya Bekri
- Department of Metabolic Biochemistry, Rouen University Hospital, Rouen 76031, France.
- Normandie Univ, UNIROUEN, INSERM, CHU Rouen, IRIB, Laboratoire NeoVasc ERI28, Rouen 76000, France.
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47
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Baranska A, Mujagic Z, Smolinska A, Dallinga JW, Jonkers DMAE, Tigchelaar EF, Dekens J, Zhernakova A, Ludwig T, Masclee AAM, Wijmenga C, van Schooten FJ. Volatile organic compounds in breath as markers for irritable bowel syndrome: a metabolomic approach. Aliment Pharmacol Ther 2016; 44:45-56. [PMID: 27136066 DOI: 10.1111/apt.13654] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2015] [Revised: 12/30/2015] [Accepted: 04/17/2016] [Indexed: 12/11/2022]
Abstract
BACKGROUND The diagnosis of irritable bowel syndrome (IBS) is challenging because of its heterogeneity and multifactorial pathophysiology. No reliable biomarkers of IBS have been identified so far. AIMS In a case-control study, using a novel application of breath analysis to distinguish IBS patients from healthy controls based on the analysis of volatile organic compounds (VOCs). Subsequently, the diagnostic VOC-biomarker set was correlated with self-reported gastrointestinal (GI) symptoms of subjects of the Maastricht IBS clinical cohort and of a general population cohort, LifeLines DEEP. METHODS Breath samples were collected from 170 IBS patients and 153 healthy controls in the clinical cohort and from 1307 participants in general population cohort. Multivariate statistics were used to identify the most discriminatory set of VOCs in the clinical cohort, and to find associations between VOCs and GI symptoms in both cohorts. RESULTS A set of 16 VOCs correctly predicted 89.4% of the IBS patients and 73.3% of the healthy controls (AUC = 0.83). The VOC-biomarker set correlated moderately with a set of GI symptoms in the clinical (r = 0.55, P = 0.0003) and general population cohorts (r = 0.54, P = 0.0004). A Kruskal-Wallis test showed no influence from possible confounding factors in distinguishing IBS patients from healthy controls. CONCLUSIONS A set of 16 breath-based biomarkers that distinguishes IBS patients from healthy controls was identified. The VOC-biomarker set correlated significantly with GI symptoms in two independent cohorts. We demonstrate the potential use of breath analysis in the diagnosis and monitoring of IBS, and a possible application of VOC analyses in a general population cohort.
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Affiliation(s)
- A Baranska
- Top Institute Food and Nutrition, Wageningen, The Netherlands.,Department of Pharmacology and Toxicology, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre (MUMC+), Maastricht, The Netherlands
| | - Z Mujagic
- Top Institute Food and Nutrition, Wageningen, The Netherlands.,Division of Gastroenterology-Hepatology, Department of Internal Medicine, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - A Smolinska
- Top Institute Food and Nutrition, Wageningen, The Netherlands.,Department of Pharmacology and Toxicology, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre (MUMC+), Maastricht, The Netherlands
| | - J W Dallinga
- Department of Pharmacology and Toxicology, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre (MUMC+), Maastricht, The Netherlands
| | - D M A E Jonkers
- Division of Gastroenterology-Hepatology, Department of Internal Medicine, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - E F Tigchelaar
- Top Institute Food and Nutrition, Wageningen, The Netherlands.,Department of Genetics, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - J Dekens
- Top Institute Food and Nutrition, Wageningen, The Netherlands.,Department of Genetics, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - A Zhernakova
- Top Institute Food and Nutrition, Wageningen, The Netherlands.,Department of Genetics, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - T Ludwig
- Department of Developmental Physiology and Nutrition, Danone Nutricia Research, Utrecht, The Netherlands
| | - A A M Masclee
- Division of Gastroenterology-Hepatology, Department of Internal Medicine, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - C Wijmenga
- Top Institute Food and Nutrition, Wageningen, The Netherlands.,Department of Genetics, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - F J van Schooten
- Department of Pharmacology and Toxicology, School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Centre (MUMC+), Maastricht, The Netherlands
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Gardner JW, Vincent TA. Electronic Noses for Well-Being: Breath Analysis and Energy Expenditure. SENSORS 2016; 16:s16070947. [PMID: 27347946 PMCID: PMC4970001 DOI: 10.3390/s16070947] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/22/2016] [Revised: 06/07/2016] [Accepted: 06/17/2016] [Indexed: 01/04/2023]
Abstract
The wealth of information concealed in a single human breath has been of interest for many years, promising not only disease detection, but also the monitoring of our general well-being. Recent developments in the fields of nano-sensor arrays and MEMS have enabled once bulky artificial olfactory sensor systems, or so-called "electronic noses", to become smaller, lower power and portable devices. At the same time, wearable health monitoring devices are now available, although reliable breath sensing equipment is somewhat missing from the market of physical, rather than chemical sensor gadgets. In this article, we report on the unprecedented rise in healthcare problems caused by an increasingly overweight population. We first review recently-developed electronic noses for the detection of diseases by the analysis of basic volatile organic compounds (VOCs). Then, we discuss the primary cause of obesity from over eating and the high calorific content of food. We present the need to measure our individual energy expenditure from our exhaled breath. Finally, we consider the future for handheld or wearable devices to measure energy expenditure; and the potential of these devices to revolutionize healthcare, both at home and in hospitals.
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Affiliation(s)
- Julian W Gardner
- School of Engineering, University of Warwick, Coventry, CV4 7AL, UK.
| | - Timothy A Vincent
- School of Engineering, University of Warwick, Coventry, CV4 7AL, UK.
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49
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De Vincentis A, Pennazza G, Santonico M, Vespasiani-Gentilucci U, Galati G, Gallo P, Vernile C, Pedone C, Antonelli Incalzi R, Picardi A. Breath-print analysis by e-nose for classifying and monitoring chronic liver disease: a proof-of-concept study. Sci Rep 2016; 6:25337. [PMID: 27145718 PMCID: PMC4857073 DOI: 10.1038/srep25337] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2015] [Accepted: 04/06/2016] [Indexed: 12/19/2022] Open
Abstract
Since the liver plays a key metabolic role, volatile organic compounds in the exhaled breath might change with type and severity of chronic liver disease (CLD). In this study we analysed breath-prints (BPs) of 65 patients with liver cirrhosis (LC), 39 with non-cirrhotic CLD (NC-CLD) and 56 healthy controls by the e-nose. Distinctive BPs characterized LC, NC-CLD and healthy controls, and, among LC patients, the different Child-Pugh classes (sensitivity 86.2% and specificity 98.2% for CLD vs healthy controls, and 87.5% and 69.2% for LC vs NC-CLD). Moreover, the area under the BP profile, derived from radar-plot representation of BPs, showed an area under the ROC curve of 0.84 (95% CI 0.76–0.91) for CLD, of 0.76 (95% CI 0.66–0.85) for LC, and of 0.70 (95% CI 0.55–0.81) for decompensated LC. By applying the cut-off values of 862 and 812, LC and decompensated LC could be predicted with high accuracy (PPV 96.6% and 88.5%, respectively). These results are proof-of-concept that the e-nose could be a valid non-invasive instrument for characterizing CLD and monitoring hepatic function over time. The observed classificatory properties might be further improved by refining stage-specific breath-prints and considering the impact of comorbidities in a larger series of patients.
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Affiliation(s)
- Antonio De Vincentis
- Clinical Medicine and Hepatology Department, Campus Bio-Medico University, via Alvaro del Portillo 200, 00128 Rome, Italy
| | - Giorgio Pennazza
- Center for Integrated Research - CIR, Unit of Electronics for Sensor Systems, Campus Bio-Medico University, via Alvaro del Portillo 200, 00128 Rome, Italy
| | - Marco Santonico
- Center for Integrated Research - CIR, Unit of Electronics for Sensor Systems, Campus Bio-Medico University, via Alvaro del Portillo 200, 00128 Rome, Italy
| | - Umberto Vespasiani-Gentilucci
- Clinical Medicine and Hepatology Department, Campus Bio-Medico University, via Alvaro del Portillo 200, 00128 Rome, Italy
| | - Giovanni Galati
- Clinical Medicine and Hepatology Department, Campus Bio-Medico University, via Alvaro del Portillo 200, 00128 Rome, Italy
| | - Paolo Gallo
- Clinical Medicine and Hepatology Department, Campus Bio-Medico University, via Alvaro del Portillo 200, 00128 Rome, Italy
| | - Chiara Vernile
- Center for Integrated Research - CIR, Unit of Electronics for Sensor Systems, Campus Bio-Medico University, via Alvaro del Portillo 200, 00128 Rome, Italy
| | - Claudio Pedone
- Chair of Geriatrics, Unit of Respiratory Pathophysiology, Campus Bio-Medico University, via Alvaro del Portillo 200, 00128 Rome, Italy
| | - Raffaele Antonelli Incalzi
- Chair of Geriatrics, Unit of Respiratory Pathophysiology, Campus Bio-Medico University, via Alvaro del Portillo 200, 00128 Rome, Italy.,San Raffaele- Cittadella della Carità Foundation, Taranto, Italy
| | - Antonio Picardi
- Clinical Medicine and Hepatology Department, Campus Bio-Medico University, via Alvaro del Portillo 200, 00128 Rome, Italy
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