Article
Biochemistry & Molecular Biology
Elina M. Gashimova, Azamat Z. Temerdashev, Dmitry V. Perunov, Vladimir A. Porkhanov, Igor S. Polyakov, Ekaterina V. Dmitrieva
Summary: Lung cancer is a major cause of death worldwide, and early diagnosis is difficult. In this study, the variability of exhaled breath samples among patients with lung cancer and other types of cancer was investigated. Two classification models were created to separate lung cancer patients from patients with cancer in other locations and to classify different types of cancer. The models showed moderate sensitivity and specificity in distinguishing lung cancer from other types of cancer, but poor accuracy in classifying different types of cancer.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Oncology
Eline Janssens, Eline Schillebeeckx, Kathleen Zwijsen, Jo Raskin, Joris Van Cleemput, Veerle F. Surmont, Kristiaan Nackaerts, Elly Marcq, Jan P. van Meerbeeck, Kevin Lamote
Summary: This study investigated the potential of volatile organic compounds (VOCs) as biomarkers for malignant pleural mesothelioma (MPM) and performed external validation of a VOC-based prediction model for MPM. The initial validation showed poor performance, but subsequent updates improved the model's performance, demonstrating potential for screening.
Article
Chemistry, Analytical
Zhenzhen Xie, James D. Morris, Stephanie J. Mattingly, Saurin R. Sutaria, Jiapeng Huang, Michael H. Nantz, Xiao-An Fu
Summary: Analysis of volatile organic compounds (VOCs) in exhaled breath has great potential for disease detection, but the analysis of metabolic VOCs is still challenging. This study presents a method combining ultrahigh-performance liquid chromatography with high-resolution mass spectrometry for analyzing carbonyl metabolites in breath. A silicon microreactor was used to capture carbonyl compounds in exhaled breath, and six subgroups of carbonyl compounds were identified. This method may provide a quantitative approach for identifying disease markers in exhaled breath.
ANALYTICAL CHEMISTRY
(2023)
Review
Medical Laboratory Technology
Amalia Z. Berna, Audrey R. Odom John
Summary: Breath analysis shows potential as a diagnostic method for infectious diseases by detecting volatile organic compounds in exhaled breath. It is noninvasive, safe, and easy to perform. However, challenges such as poor standardization of breath collection and analysis, as well as a lack of validation studies, need to be addressed.
CLINICAL CHEMISTRY
(2022)
Review
Engineering, Electrical & Electronic
Avik Sett, Tanisha Rana, Umamaheswari Rajaji, Rinky Sha, Ting-Yu Liu, Tarun Kanti Bhattacharyya
Summary: This review paper discusses the potential of using 2D nanomaterials-based gas sensors in non-invasive disease detection. These sensors, by identifying biomarkers in human breath, can distinguish between healthy patients and those with diseases. The paper explores the characteristics of 2D nanomaterials, their sensing mechanism, and methods used in the selective detection of biomarker molecules, while also providing insights on future developments.
SENSORS AND ACTUATORS A-PHYSICAL
(2022)
Article
Engineering, Electrical & Electronic
Akhilesh Kumar Pathak, Charusluk Viphavakit
Summary: This study discusses a sensor for detecting isopropanol in exhaled breath, which is a biomarker for diabetes. The design of the sensor is based on wavelength modulation technique, utilizing a porous TiO2 layer as sensing material for high sensitivity detection.
IEEE SENSORS JOURNAL
(2021)
Review
Biochemistry & Molecular Biology
Y. Lan Pham, Jonathan Beauchamp
Summary: The detection of chemical compounds in exhaled breath presents an opportunity to determine physiological state, diagnose disease or assess environmental exposure. Despite some challenges, exhaled breath is desirable for metabolomics applications due to its non-invasiveness, convenience, and practical availability. Tests targeting endogenous or exogenous gas-phase compounds in breath are currently established for practical and clinical use.
Review
Biochemistry & Molecular Biology
Valentina Vassilenko, Pedro Catalao Moura, Maria Raposo
Summary: The assessment of volatile breath biomarkers has gained significant attention in the scientific and medical communities for its potential in accurately diagnosing diseases in a painless and non-invasive manner. This paper reviews relevant literature sources and identifies volatile organic compounds (VOCs) that have been identified as potential cancer biomarkers. It also discusses future trends in using volatile breath biomarkers for the detection of other forms of cancer. The future of this diagnostic tool relies on the development of more advanced collection and analysis techniques, as well as certification for its utilization in real clinical settings.
Review
Biochemistry & Molecular Biology
Pedro Catala Moura, Moura Maria Raposo, Valentina Vassilenko
Summary: The normal and abnormal/pathological status of physiological processes in the human organism can be characterized through Volatile Organic Compounds (VOCs) emitted in breath. These compounds have been recognized as valuable biomarkers for the rapid, accurate, non-invasive, and painless diagnosis of various diseases and health conditions. This study reviews the most promising results in the field of breath biomarkers and the common methods of detecting VOCs, while also providing a database of compounds for 16 different pathologies.
BIOMEDICAL JOURNAL
(2023)
Article
Respiratory System
Michael Westhoff, Maren Friedrich, Jorg Baumbach
Summary: The high sensitivity of breath analysis methods poses a risk of detecting non-endogenous substances. This study aimed to standardize sampling procedures by simultaneously measuring inhaled air and exhaled breath, and identified 35 volatile organic compounds for further analysis.
Article
Oncology
Eline Janssens, Zoe Mol, Lore Vandermeersch, Sabrina Lagniau, Karim Y. Vermaelen, Jan P. Van Meerbeeck, Christophe Walgraeve, Elly Marcq, Kevin Lamote
Summary: This study investigated the characteristics of volatile organic compounds (VOCs) in the breath of malignant pleural mesothelioma (MPM) and lung cancer cells using an in vitro model. The results showed that VOC profiles could accurately distinguish MPM and lung cancer cells, but there were discrepancies with clinical findings, highlighting the need for further research for validation.
FRONTIERS IN ONCOLOGY
(2022)
Article
Cell Biology
Wadah Ibrahim, Michael J. Wilde, Rebecca L. Cordell, Matthew Richardson, Dahlia Salman, Robert C. Free, Bo Zhao, Amisha Singapuri, Beverley Hargadon, Erol A. Gaillard, Toru Suzuki, Leong L. Ng, Tim Coats, Paul Thomas, Paul S. Monks, Christopher E. Brightling, Neil J. Greening, Salman Siddiqui, EMBER Consortium
Summary: Acute cardiorespiratory breathlessness is a significant cause of emergency hospitalizations. This study identified breath volatile organic compound biomarkers that can diagnose acute cardiorespiratory disease and investigated the metabolic enrichment patterns in acute disease. The findings demonstrate that the multibiomarker score can effectively differentiate acute disease from health and different subtypes of acute cardiorespiratory exacerbation. Furthermore, the study revealed specific enrichment patterns in different subgroups of acute disease.
SCIENCE TRANSLATIONAL MEDICINE
(2022)
Review
Medical Laboratory Technology
Ting Chen, Tiannan Liu, Ting Li, Hang Zhao, Qianming Chen
Summary: The review introduces the conventional and emerging methods for breath analysis in diagnosing and monitoring various diseases. It discusses the correlation between breath components and specific diseases, as well as unique ideas and devices for the diagnosis of common diseases through exhaled breath analysis. The potential application of exhaled breath analysis for diagnosing and screening different diseases is briefly introduced, offering a new avenue for non-invasive disease detection.
CLINICA CHIMICA ACTA
(2021)
Article
Chemistry, Multidisciplinary
Elina Gashimova, Azamat Temerdashev, Vladimir Porkhanov, Igor Polyakov, Dmitry Perunov, Ekaterina Dmitrieva
Summary: Development of simple, fast, and non-invasive tests for lung cancer diagnostics is crucial in clinical practice. This paper explores the use of exhaled breath and skin as potential objects for diagnosing lung cancer, and develops diagnostic models using machine learning algorithms. The results show that artificial neural networks perform well in classifying lung cancer patients and healthy individuals. Additionally, the study identifies significant differences in parameters in exhaled breath samples of lung cancer patients and evaluates the potential of skin analysis for lung cancer diagnosis.
Article
Multidisciplinary Sciences
Waqar Ahmed, Iain R. White, Maxim Wilkinson, Craig F. Johnson, Nicholas Rattray, Amit K. Kishore, Royston Goodacre, Craig J. Smith, Stephen J. Fowler
Summary: This study found that exhaled decanal correlates with post-stroke levels of CRP and IL-6, and tracks metabolic pathways associated with post-stroke inflammation. The measurement of breath and blood metabolites could potentially aid in the development of novel therapeutic and diagnostic strategies.
SCIENTIFIC REPORTS
(2021)