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Czippelová B, Nováková S, Šarlinová M, Baranovičová E, Urbanová A, Turianiková Z, Krohová JČ, Halašová E, Škovierová H. Impact of breath sample collection method and length of storage of breath samples in Tedlar bags on the level of selected volatiles assessed using gas chromatography-ion mobility spectrometry (GC-IMS). J Breath Res 2024; 18:036004. [PMID: 38701772 DOI: 10.1088/1752-7163/ad4736] [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: 11/15/2023] [Accepted: 05/03/2024] [Indexed: 05/05/2024]
Abstract
The analysis of volatile organic compounds (VOCs) in exhaled air has attracted the interest of the scientific community because it provides the possibility of monitoring physiological and metabolic processes and non-invasive diagnostics of various diseases. However, this method remains underused in clinical practice as well as in research because of the lack of standardized procedures for the collection, storage and transport of breath samples, which would guarantee good reproducibility and comparability of results. The method of sampling, as well as the storage time of the breath samples in the polymer bags used for sample storage and transport, affect the composition and concentration of VOCs present in the breath samples. The aim of our study was to compare breath samples obtained using two methods with fully disposable equipment: a Haldane sampling tube intended for direct breath collection and breath samples exhaled into a transparent Tedlar bag. The second task was to monitor the stability of selected compounds of real breath samples stored in a Tedlar bag for 6 h. Gas chromatography coupled with ion mobility spectrometry (GC-IMS) implemented in the BreathSpec®device was used to analyse exhaled breath. Our results showed a significant difference in the signal intensity of some volatiles when taking a breath sample with a Haldane tube and a Tedlar bag. Due to its endogenous origin, acetone levels were significantly higher when the Haldane tube sampler was used while elevated levels of 2-propanol and unidentified VOC (designated as VOC 3) in the Tedlar bag samples likely originated from contamination of the Tedlar bags. The VOC stability study revealed compound-specific signal intensity changes of the selected VOCs with storage time in the Tedlar bags, with some volatiles showing increasing signal intensity during storage in Tedlar bags. This limits the use of Tedlar bags only for very limited time and carefully selected purpose. Our results highlight the importance of careful design and implementation of experiments and clinical protocols to obtain relevant and reliable results.
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Affiliation(s)
- Barbora Czippelová
- Comenius University in Bratislava, Jessenius Faculty of Medicine in Martin, Biomedical Centre Martin, Martin, Slovakia
| | - Slavomíra Nováková
- Comenius University in Bratislava, Jessenius Faculty of Medicine in Martin, Biomedical Centre Martin, Martin, Slovakia
| | - Miroslava Šarlinová
- Comenius University in Bratislava, Jessenius Faculty of Medicine in Martin, Biomedical Centre Martin, Martin, Slovakia
| | - Eva Baranovičová
- Comenius University in Bratislava, Jessenius Faculty of Medicine in Martin, Biomedical Centre Martin, Martin, Slovakia
| | | | - Zuzana Turianiková
- Comenius University in Bratislava, Jessenius Faculty of Medicine in Martin, Biomedical Centre Martin, Martin, Slovakia
| | - Jana Čerňanová Krohová
- Comenius University in Bratislava, Jessenius Faculty of Medicine in Martin, Biomedical Centre Martin, Martin, Slovakia
| | - Erika Halašová
- Comenius University in Bratislava, Jessenius Faculty of Medicine in Martin, Biomedical Centre Martin, Martin, Slovakia
| | - Henrieta Škovierová
- Comenius University in Bratislava, Jessenius Faculty of Medicine in Martin, Biomedical Centre Martin, Martin, Slovakia
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Gu SY, Lu HW, Bai JW, Yang JW, Mao B, Yu L, Xu JF. The role of volatile organic compounds for assessing characteristics and severity of non-cystic fibrosis bronchiectasis: an observational study. Front Med (Lausanne) 2024; 11:1345165. [PMID: 38633315 PMCID: PMC11022847 DOI: 10.3389/fmed.2024.1345165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 03/18/2024] [Indexed: 04/19/2024] Open
Abstract
Background Hypoxic conditions and Pseudomonas aeruginosa (P. aeruginosa) infection are significant factors influencing the prognosis and treatment of patients with bronchiectasis. This study aimed to explore the potential for breath analysis to detect hypoxic conditions and P. aeruginosa infection in bronchiectasis patients by analyzing of volatile organic compounds (VOCs) in exhaled breath condensate (EBC). Methods EBC samples were collected from stable bronchiectasis patients and analyzed using solid phase microextraction-gas chromatography-mass spectrometry (SPME-GCMS). The association of VOCs with bronchiectasis patients' phenotypes including hypoxic conditions and P. aeruginosa isolation was analyzed, which may relate to the severity of bronchiectasis disease. Results Levels of 10-heptadecenoic acid, heptadecanoic acid, longifolene, and decanol in the hypoxia group were higher compared to the normoxia group. Additionally, the levels of 13-octadecenoic acid, octadecenoic acid, phenol, pentadecanoic acid, and myristic acid were increased in P. aeruginosa (+) group compared to the P. aeruginosa (-) group. Subgroup analysis based on the bronchiectasis severity index (BSI)reveled that the levels of 10-heptadecenoic acid, heptadecanoic acid, decanol, 13-octadecenoic acid, myristic acid, and pentadecanoic acid were higher in the severe group compared to the moderate group. Multivariate linear regression showed that 10-heptadecenoic acid and age were independent prognostic factors for bronchiectasis patients with hypoxia. Furthermore, octadecenoic acid, phenol and gender were identified as independent prognostic factors for bronchiectasis patients with P. aeruginosa isolation. Conclusion The study provides evidence that specific VOCs in EBC are correlated with the severity of bronchiectasis, and 10-heptadecenoic acid is shown to be a predictive marker for hypoxia condition in bronchiectasis patients.
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Affiliation(s)
| | | | | | | | | | | | - Jin-Fu Xu
- Department of Respiratory and Critical Care Medicine, Institute of Respiratory Medicine, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
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Kuo PH, Jhong YC, Kuo TC, Hsu YT, Kuo CH, Tseng YJ. A Clinical Breathomics Dataset. Sci Data 2024; 11:203. [PMID: 38355591 PMCID: PMC10866892 DOI: 10.1038/s41597-024-03052-2] [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: 10/03/2023] [Accepted: 02/07/2024] [Indexed: 02/16/2024] Open
Abstract
This study entailed a comprehensive GC‒MS analysis conducted on 121 patient samples to generate a clinical breathomics dataset. Breath molecules, indicative of diverse conditions such as psychological and pathological states and the microbiome, were of particular interest due to their non-invasive nature. The highlighted noninvasive approach for detecting these breath molecules significantly enhances diagnostic and monitoring capacities. This dataset cataloged volatile organic compounds (VOCs) from the breath of individuals with asthma, bronchiectasis, and chronic obstructive pulmonary disease. Uniform and consistent sample collection protocols were strictly adhered to during the accumulation of this extensive dataset, ensuring its reliability. It encapsulates extensive human clinical breath molecule data pertinent to three specific diseases. This consequential clinical breathomics dataset is a crucial resource for researchers and clinicians in identifying and exploring important compounds within the patient's breath, thereby augmenting future diagnostic and therapeutic initiatives.
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Affiliation(s)
- Ping-Hung Kuo
- National Taiwan University Hospital, No. 1, Changde St., Zhongzheng Dist., Taipei City, 100229, Taiwan
| | - Yue-Chen Jhong
- Graduate Institute of Biomedical Electronics and Bioinformatics, College of Electrical Engineering and Computer Science, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, 10617, Taiwan
| | - Tien-Chueh Kuo
- Graduate Institute of Biomedical Electronics and Bioinformatics, College of Electrical Engineering and Computer Science, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, 10617, Taiwan
- The Metabolomics Core Laboratory, Center of Genomic Medicine, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, 10617, Taiwan
| | - Yu-Ting Hsu
- Graduate Institute of Biomedical Electronics and Bioinformatics, College of Electrical Engineering and Computer Science, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, 10617, Taiwan
| | - Ching-Hua Kuo
- The Metabolomics Core Laboratory, Center of Genomic Medicine, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, 10617, Taiwan
- Drug Research Center, College of Pharmacy, College of Medicine, National Taiwan University, No. 33, Linsen S. Road, Taipei, 10055, Taiwan
- Department of Pharmacy, School of Pharmacy, College of Medicine, National Taiwan University, No. 33, Linsen S. Road, Taipei, 10055, Taiwan
| | - Yufeng Jane Tseng
- Graduate Institute of Biomedical Electronics and Bioinformatics, College of Electrical Engineering and Computer Science, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, 10617, Taiwan.
- Department of Computer Science and Information Engineering, College of Electrical Engineering and Computer Science, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei, 10617, Taiwan.
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Sasiene ZJ, LeBrun ES, Schaller E, Mach PM, Taylor R, Candelaria L, Glaros TG, Baca J, McBride EM. Real-time breath analysis towards a healthy human breath profile. J Breath Res 2024; 18:026003. [PMID: 38198707 DOI: 10.1088/1752-7163/ad1cf1] [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: 05/25/2023] [Accepted: 01/10/2024] [Indexed: 01/12/2024]
Abstract
The direct analysis of molecules contained within human breath has had significant implications for clinical and diagnostic applications in recent decades. However, attempts to compare one study to another or to reproduce previous work are hampered by: variability between sampling methodologies, human phenotypic variability, complex interactions between compounds within breath, and confounding signals from comorbidities. Towards this end, we have endeavored to create an averaged healthy human 'profile' against which follow-on studies might be compared. Through the use of direct secondary electrospray ionization combined with a high-resolution mass spectrometry and in-house bioinformatics pipeline, we seek to curate an average healthy human profile for breath and use this model to distinguish differences inter- and intra-day for human volunteers. Breath samples were significantly different in PERMANOVA analysis and ANOSIM analysis based on Time of Day, Participant ID, Date of Sample, Sex of Participant, and Age of Participant (p< 0.001). Optimal binning analysis identify strong associations between specific features and variables. These include 227 breath features identified as unique identifiers for 28 of the 31 participants. Four signals were identified to be strongly associated with female participants and one with male participants. A total of 37 signals were identified to be strongly associated with the time-of-day samples were taken. Threshold indicator taxa analysis indicated a shift in significant breath features across the age gradient of participants with peak disruption of breath metabolites occurring at around age 32. Forty-eight features were identified after filtering from which a healthy human breath profile for all participants was created.
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Affiliation(s)
- Zachary Joseph Sasiene
- Biochemistry and Biotechnology Group, Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, United States of America
| | - Erick Scott LeBrun
- Biochemistry and Biotechnology Group, Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, United States of America
| | - Eric Schaller
- Department of Emergency Medicine, University of New Mexico, Albuquerque, NM 87131, United States of America
| | - Phillip Michael Mach
- Biochemistry and Biotechnology Group, Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, United States of America
| | - Robert Taylor
- Department of Emergency Medicine, University of New Mexico, Albuquerque, NM 87131, United States of America
| | - Lionel Candelaria
- Department of Emergency Medicine, University of New Mexico, Albuquerque, NM 87131, United States of America
| | - Trevor Griffiths Glaros
- Biochemistry and Biotechnology Group, Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, United States of America
| | - Justin Baca
- Department of Emergency Medicine, University of New Mexico, Albuquerque, NM 87131, United States of America
| | - Ethan Matthew McBride
- Biochemistry and Biotechnology Group, Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, United States of America
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Chaturvedi M, Patel M, Tiwari A, Dwivedi N, Mondal DP, Srivastava AK, Dhand C. An insight to the recent advancements in detection of Mycobacterium tuberculosis using biosensors: A systematic review. PROGRESS IN BIOPHYSICS AND MOLECULAR BIOLOGY 2024; 186:14-27. [PMID: 38052326 DOI: 10.1016/j.pbiomolbio.2023.10.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 07/31/2023] [Accepted: 10/01/2023] [Indexed: 12/07/2023]
Abstract
Since ancient times, Tuberculosis (TB) has been a severe invasive illness that has been prevalent for thousands of years and is also known as "consumption" or phthisis. TB is the most common chronic lung bacterial illness in the world, killing over 2 million people each year, caused by Mycobacterium tuberculosis (MTB). As per the reports of WHO, in spite of technology advancements, the average rate of decline in global TB infections from 2000-2018 was only 1.6% per year, and the worldwide reduction in TB deaths was only 11%. In addition, COVID-19 pandemic has reversed years of global progress in tackling TB with fewer diagnosed cases. The majority of undiagnosed patients of TB are found in low- and middle-income countries where the GeneXpert MTB/RIF assay and sputum smear microscopy have been approved by the WHO as reference procedures for quickly detecting TB. Biosensors, like other cutting-edge technologies, have piqued researchers' interest since they offer a quick and accurate way to identify MTB. Modern integrated technologies allow for the rapid, low-cost, and highly precise detection of analytes in extremely little amounts of sample by biosensors. Here in this review, we outlined the severity of tuberculosis (TB) and the most recent developments in the biosensors sector, as well as their various kinds and benefits for TB detection. The review also emphasizes how widespread TB is and how it needs accurate diagnosis and effective treatment.
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Affiliation(s)
- Mansi Chaturvedi
- CSIR-Advanced Materials and Processes Research Institute, Hoshangabad Road, Bhopal, 462026, India; School of Biomolecular Engineering & Biotechnology UTD RGPV, Bhopal, 462033, India
| | - Monika Patel
- CSIR-Advanced Materials and Processes Research Institute, Hoshangabad Road, Bhopal, 462026, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Archana Tiwari
- School of Biomolecular Engineering & Biotechnology UTD RGPV, Bhopal, 462033, India
| | - Neeraj Dwivedi
- CSIR-Advanced Materials and Processes Research Institute, Hoshangabad Road, Bhopal, 462026, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - D P Mondal
- CSIR-Advanced Materials and Processes Research Institute, Hoshangabad Road, Bhopal, 462026, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Avanish Kumar Srivastava
- CSIR-Advanced Materials and Processes Research Institute, Hoshangabad Road, Bhopal, 462026, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Chetna Dhand
- CSIR-Advanced Materials and Processes Research Institute, Hoshangabad Road, Bhopal, 462026, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.
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Fitzgerald S, Holland L, Ahmed W, Piechulla B, Fowler SJ, Morrin A. Volatilomes of human infection. Anal Bioanal Chem 2024; 416:37-53. [PMID: 37843549 PMCID: PMC10758372 DOI: 10.1007/s00216-023-04986-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 09/22/2023] [Accepted: 10/03/2023] [Indexed: 10/17/2023]
Abstract
The human volatilome comprises a vast mixture of volatile emissions produced by the human body and its microbiomes. Following infection, the human volatilome undergoes significant shifts, and presents a unique medium for non-invasive biomarker discovery. In this review, we examine how the onset of infection impacts the production of volatile metabolites that reflects dysbiosis by pathogenic microbes. We describe key analytical workflows applied across both microbial and clinical volatilomics and emphasize the value in linking microbial studies to clinical investigations to robustly elucidate the metabolic species and pathways leading to the observed volatile signatures. We review the current state of the art across microbial and clinical volatilomics, outlining common objectives and successes of microbial-clinical volatilomic workflows. Finally, we propose key challenges, as well as our perspectives on emerging opportunities for developing clinically useful and targeted workflows that could significantly enhance and expedite current practices in infection diagnosis and monitoring.
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Affiliation(s)
- Shane Fitzgerald
- SFI Insight Centre for Data Analytics, School of Chemical Sciences, National Centre for Sensor Research, Dublin City University, Dublin, Ireland
| | - Linda Holland
- School of Biotechnology, Dublin City University, Dublin, Ireland
| | - Waqar Ahmed
- Division of Immunology, Immunity to Infection and Respiratory Medicine, School of Biological Sciences, The University of Manchester, Manchester, UK
| | - Birgit Piechulla
- Institute of Biological Sciences, University of Rostock, Rostock, Germany
| | - Stephen J Fowler
- Division of Immunology, Immunity to Infection and Respiratory Medicine, School of Biological Sciences, The University of Manchester, Manchester, UK
- Respiratory Medicine, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Aoife Morrin
- SFI Insight Centre for Data Analytics, School of Chemical Sciences, National Centre for Sensor Research, Dublin City University, Dublin, Ireland.
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7
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Makhubela PCK, Rohwer ER, Naudé Y. Detection of tuberculosis-associated compounds from human skin by GCxGC-TOFMS. J Chromatogr B Analyt Technol Biomed Life Sci 2023; 1231:123937. [PMID: 37995549 DOI: 10.1016/j.jchromb.2023.123937] [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: 07/07/2023] [Revised: 09/28/2023] [Accepted: 10/10/2023] [Indexed: 11/25/2023]
Abstract
Tuberculosis (TB) remains a global health concern. This study aimed to investigate the potential of human skin volatile organic compounds (VOCs) as prospective biomarkers for TB diagnosis. It employed a non-invasive approach using a wearable silicone rubber band for VOC sampling, comprehensive gas chromatography - time of flight mass spectrometry (GCxGC-TOFMS), and chemometric techniques. Both targeted and untargeted biochemical screening was utilized to explore biochemical differences between healthy individuals and those with TB infection. Results confirmed a correlation between compounds found in this study, and those reported for TB from other biofluids. In a comparison to known TB-associated compounds from other biofluids our analysis established the presence of 27 of these compounds emanating from human skin. Additionally, 16 previously unreported compounds were found as potential biomarkers. The diagnostic ability of the VOCs selected by statistical methods was investigated using predictive modelling techniques. Artificial neural network multi-layered perceptron (ANN) yielded two compounds, 1H-indene, 2,3 dihydro-1,1,3-trimethyl-3-phenyl; and heptane-3-ethyl-2-methyl, as the most discriminatory, and could differentiate between TB-positive (n = 15) and TB-negative (n = 23) individuals with an area under the receiver operating characteristic curve (AUROC) of 92 %, a sensitivity of 100 % and a specificity of 94 % for six targeted features. For untargeted analysis, ANN assigned 3-methylhexane as the most discriminatory between TB-positive and TB- negative individuals. An AUROC of 98.5 %, a sensitivity of 83 %, and a specificity of 88 % were obtained for 16 untargeted features as chosen by high performance variable selection. The obtained values compare highly favourable to alternative diagnostic methods such as breath analysis and GeneXpert. Consequently, human skin VOCs hold considerable potential as a TB diagnostic screening test.
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Affiliation(s)
- Portia C K Makhubela
- Department of Chemistry, University of Pretoria, Private Bag X20, Hatfield, 0028 Pretoria, South Africa
| | - Egmont R Rohwer
- Department of Chemistry, University of Pretoria, Private Bag X20, Hatfield, 0028 Pretoria, South Africa
| | - Yvette Naudé
- Department of Chemistry, University of Pretoria, Private Bag X20, Hatfield, 0028 Pretoria, South Africa.
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Brebu M, Simion VE, Andronie V, Jaimes-Mogollón AL, Beleño-Sáenz KDJ, Ionescu F, Welearegay TG, Suschinel R, de Lema JB, Ionescu R. Putative volatile biomarkers of bovine tuberculosis infection in breath, skin and feces of cattle. Mol Cell Biochem 2023; 478:2473-2480. [PMID: 36840799 DOI: 10.1007/s11010-023-04676-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 02/09/2023] [Indexed: 02/26/2023]
Abstract
Bovine tuberculosis (bTB) is an infectious disease with significant impact on animal health, public health and international trade. Standard bTB screening in live cattle consists in injecting tuberculin and measuring the swelling at the place of injection few days later. This procedure is expensive, time-consuming, logistically challenging, and is not conclusive before performing confirmatory tests and additional analysis. The analysis of the volatile organic compounds (VOCs) emitted by non-invasive biological samples can provide an alternative diagnostic approach suitable for bTB screening. In the present study, we analyzed VOC samples emitted through the breath, feces and skin of 18 cows diagnosed with bTB from three farms from Romania, as well as of 27 negative cows for bTB from the same farms. Analytical studies employing gas chromatography coupled to mass spectrometry revealed 80 VOCs emitted through the breath, 200 VOCs released by feces, and 80 VOCs emitted through the skin. Statistical analysis of these compounds allowed the identification of 3 tentative breath VOC biomarkers (acetone; 4-methyldecane; D-limonene), 9 tentative feces VOC biomarkers (toluene; [(1,1-dimethylethyl)thio]acetic acid; alpha-thujene; camphene; phenol; o-cymene; 3-(1,1-dimethylethyl)-2,2,4,4-tetramethyl-3-pentanol; 2,5-dimethylhexane-2,5-dihydroperoxide; 2,4-di-tert-butylphenol), and 3 tentative skin VOC biomarkers (ammonia; 1-methoxy-2-propanol; toluene). The possible pathway of these volatile biomarkers is discussed.
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Affiliation(s)
- Mihai Brebu
- "Petru Poni" Institute of Macromolecular Chemistry, Aleea Grigore Ghica Voda 41A, 700487, Iasi, Romania
| | - Violeta Elena Simion
- Faculty of Veterinary Medicine, Spiru Haret University, Bd. Basarabia 256, 030171, Bucharest, Romania
| | - Viorel Andronie
- Faculty of Veterinary Medicine, Spiru Haret University, Bd. Basarabia 256, 030171, Bucharest, Romania
| | - Aylen Lisset Jaimes-Mogollón
- GISM Group, Faculty of Engineering and Architecture, University of Pamplona, Ciudad Universitaria, Via Bucaramanga Km 1, 543050, Pamplona, Colombia
| | - Kelvin de Jesús Beleño-Sáenz
- GISM Group, Faculty of Engineering and Architecture, University of Pamplona, Ciudad Universitaria, Via Bucaramanga Km 1, 543050, Pamplona, Colombia
- Department of Mechatronics Engineering, Universidad Autónoma del Caribe, Calle 90 #46-112, 080020, Barranquilla, Colombia
| | - Florina Ionescu
- The Ångström Laboratory, Department of Materials Science and Engineering, Uppsala University, P.O. Box 35, 75103, Uppsala, Sweden
| | - Tesfalem Geremariam Welearegay
- The Ångström Laboratory, Department of Materials Science and Engineering, Uppsala University, P.O. Box 35, 75103, Uppsala, Sweden
| | - Raluca Suschinel
- Institute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, Kreutzwaldi 62, 51006, Tartu, Estonia
| | - Jose Bruno de Lema
- Institute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, Kreutzwaldi 62, 51006, Tartu, Estonia
- D Asociation, Paseo de la Montaña 14, 08402, Granollers, Barcelona, Spain
| | - Radu Ionescu
- D Asociation, Paseo de la Montaña 14, 08402, Granollers, Barcelona, Spain.
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Badola M, Agrawal A, Roy D, Sinha R, Goyal A, Jeet N. Volatile Organic Compound Identification-Based Tuberculosis Screening among TB Suspects: A Diagnostic Accuracy Study. Adv Respir Med 2023; 91:301-309. [PMID: 37489387 PMCID: PMC10366871 DOI: 10.3390/arm91040024] [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: 06/13/2023] [Revised: 07/03/2023] [Accepted: 07/06/2023] [Indexed: 07/26/2023]
Abstract
Tuberculosis (TB) affects a third of the global population, and a large population of infected individuals still remain undiagnosed-making the visible burden only the tip of the iceberg. The detection of tuberculosis in close-proximity patients is one of the key priorities for attaining the Sustainable Development Goals (SDG) of TB elimination by 2030. With the current battery of screening tests failing to cover this need, the authors of this paper examined a simple and inexpensive point-of-care breath analyzer (TSI-3000(I)), which is based on detecting the volatile organic compounds that are emitted from infected cells and released in exhaled breath as a screening tool for the detection of TB. A single-center pilot study for assessing the diagnostic accuracy of the point-of-care Tuberculosis Breath Analyzer was conducted, and it was compared against the WHO-recommended TrueNat assay, which is a rapid molecular test and was also treated as the reference standard in this study. Of the 334 enrolled participants with TB signs/symptoms, 42.51% were TrueNat positive for Mycobacterium tuberculosis. The sensitivity of the Tuberculosis Breath Analyzer was found to be 95.7%, with a specificity of 91.3% and a ROC area of 0.935. The test kit showed considerable/significant high sensitivity and specificity as reliability indicators. The performance of the Tuberculosis Breath Analyzer tested was found to be comparable in efficiency to that of the TrueNat assay. A large cohort-based multicentric study is feasibly required to further validate and extrapolate the results of the pilot study.
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Affiliation(s)
- Mayank Badola
- Department of Health and Family Welfare, Government of Uttarakhand, Dehradun 248001, India
| | - Anurag Agrawal
- Department of TB & Chest, Government Doon Medical College, Dehradun 248001, India
| | - Debabrata Roy
- Department of Community Medicine, Government Doon Medical College, Dehradun 248001, India
| | - Richa Sinha
- Department of Community Medicine, Government Doon Medical College, Dehradun 248001, India
| | - Avisham Goyal
- Department of TB & Chest, Government Doon Medical College, Dehradun 248001, India
| | - Narayan Jeet
- Department of General Medicine, Government Doon Medical College, Dehradun 248001, India
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Tognetti A, Williams MN, Lybert N, Lekander M, Axelsson J, Olsson MJ. Humans can detect axillary odor cues of an acute respiratory infection in others. Evol Med Public Health 2023; 11:219-228. [PMID: 37426329 PMCID: PMC10324639 DOI: 10.1093/emph/eoad016] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 05/05/2023] [Indexed: 07/11/2023] Open
Abstract
Background and objectives Body odor conveys information about health status to conspecifics and influences approach-avoidance behaviors in animals. Experiments that induce sickness in otherwise healthy individuals suggest that humans too can detect sensory cues to infection in others. Here, we investigated whether individuals could detect through smell a naturally occurring acute respiratory infection in others and whether sickness severity, measured via body temperature and sickness symptoms, was associated with the accuracy of detection. Methodology Body odor samples were collected from 20 donors, once while healthy and once while sick with an acute respiratory infection. Using a double-blind, two-alternative forced-choice method, 80 raters were instructed to identify the sick body odor from paired sick and healthy samples (i.e. 20 pairs). Results Sickness detection was significantly above chance, although the magnitude of the effect was low (56.7%). Raters' sex and disgust sensitivity were not associated with the accuracy of sickness detection. However, we find some indication that greater change in donor body temperature, but not sickness symptoms, between sick and healthy conditions improved sickness detection accuracy. Conclusion and implications Our findings suggest that humans can detect individuals with an acute respiratory infection through smell, albeit only slightly better than chance. Humans, similar to other animals, are likely able to use sickness odor cues to guide adaptive behaviors that decrease the risk of contagion, such as social avoidance. Further studies should determine how well humans can detect specific infections through body odor, such as Covid-19, and how multisensory cues to infection are used simultaneously.
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Affiliation(s)
- Arnaud Tognetti
- Corresponding author. Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Nobels väg 9, 171 77, Stockholm, Sweden; E-mail:
| | | | - Nathalie Lybert
- Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Mats Lekander
- Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Stress Research Institute, Department of Psychology, Stockholm University, Stockholm, Sweden
- Osher Center for Integrative Health, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - John Axelsson
- Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Stress Research Institute, Department of Psychology, Stockholm University, Stockholm, Sweden
| | - Mats J Olsson
- Division of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
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11
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Sharma A, Kumar R, Varadwaj P. Smelling the Disease: Diagnostic Potential of Breath Analysis. Mol Diagn Ther 2023; 27:321-347. [PMID: 36729362 PMCID: PMC9893210 DOI: 10.1007/s40291-023-00640-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/11/2023] [Indexed: 02/03/2023]
Abstract
Breath analysis is a relatively recent field of research with much promise in scientific and clinical studies. Breath contains endogenously produced volatile organic components (VOCs) resulting from metabolites of ingested precursors, gut and air-passage bacteria, environmental contacts, etc. Numerous recent studies have suggested changes in breath composition during the course of many diseases, and breath analysis may lead to the diagnosis of such diseases. Therefore, it is important to identify the disease-specific variations in the concentration of breath to diagnose the diseases. In this review, we explore methods that are used to detect VOCs in laboratory settings, VOC constituents in exhaled air and other body fluids (e.g., sweat, saliva, skin, urine, blood, fecal matter, vaginal secretions, etc.), VOC identification in various diseases, and recently developed electronic (E)-nose-based sensors to detect VOCs. Identifying such VOCs and applying them as disease-specific biomarkers to obtain accurate, reproducible, and fast disease diagnosis could serve as an alternative to traditional invasive diagnosis methods. However, the success of VOC-based identification of diseases is limited to laboratory settings. Large-scale clinical data are warranted for establishing the robustness of disease diagnosis. Also, to identify specific VOCs associated with illness states, extensive clinical trials must be performed using both analytical instruments and electronic noses equipped with stable and precise sensors.
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Affiliation(s)
- Anju Sharma
- Systems Biology Lab, Indian Institute of Information Technology, Allahabad, Uttar Pradesh, India
| | - Rajnish Kumar
- Amity Institute of Biotechnology, Amity University Uttar Pradesh, Uttar Pradesh, Lucknow Campus, Lucknow, India
| | - Pritish Varadwaj
- Systems Biology Lab, Indian Institute of Information Technology, Allahabad, Uttar Pradesh, India.
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12
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Fu L, Feng Y, Ren T, Yang M, Yang Q, Lin Y, Zeng H, Zhang J, Liu L, Li Q, He M, Zhang P, Chen H, Deng G. Detecting latent tuberculosis infection with a breath test using mass spectrometer: A pilot cross-sectional study. Biosci Trends 2023; 17:73-77. [PMID: 36596559 DOI: 10.5582/bst.2022.01476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Mycobacterium tuberculosis (M.tb) infects a quarter of the world's population and may progress to active tuberculosis (ATB). There is no gold standard for diagnosing latent tuberculosis infection (LTBI). Some immunodiagnostic tests are recommended to detect LTBI but can not distinguish ATB from LTBI. The breath test is useful for diagnosing ATB compared to healthy subjects but was never studied for LTBI. This proof-of-concept study (Chinese Clinical Trials Registry number: ChiCTR2200058346) was the first to explore a novel, rapid, and simple LTBI detection method via breath test on high-pressure photon ionization time-of-flight mass spectrometry (HPPI-TOFMS). The case group of LTBI subjects (n = 185) and the control group (n = 250), which included ATB subgroup (n = 121) and healthy control (HC) subgroup (n = 129), were enrolled. The LTBI detection model indicated that a breath test via HPPI-TOFMS could distinguish LTBI from the control with a sensitivity of 80.0% (95% CI: 67.6%, 92.4%) and a specificity of 80.8% (95% CI: 71.8%, 89.9%). Nevertheless, further intensive studies with a larger sample size are required for clinical application.
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Affiliation(s)
- Liang Fu
- Division Two of Pulmonary Diseases Department, The Third People's Hospital of Shenzhen, National clinical research center for infectious disease, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Yong Feng
- Breax Laboratory, PCAB Research Center of Breath and Metabolism, Beijing, China
| | - Tantan Ren
- Division Two of Pulmonary Diseases Department, The Third People's Hospital of Shenzhen, National clinical research center for infectious disease, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Min Yang
- Division Two of Pulmonary Diseases Department, The Third People's Hospital of Shenzhen, National clinical research center for infectious disease, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Qianting Yang
- Guangdong Key Lab for Diagnosis & Treatment of Emerging Infectious Disease, The Third People's Hospital of Shenzhen, National clinical research center for infectious disease, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Yi Lin
- Division Two of Pulmonary Diseases Department, The Third People's Hospital of Shenzhen, National clinical research center for infectious disease, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Hui Zeng
- Medical Examination Department, The Third People's Hospital of Shenzhen, National clinical research center for infectious disease, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Jiaohong Zhang
- Pulmonary Diseases Out-patient Department, The Third People's Hospital of Shenzhen, National clinical research center for infectious disease, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Lei Liu
- Division Two of Pulmonary Diseases Department, The Third People's Hospital of Shenzhen, National clinical research center for infectious disease, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Qingyun Li
- Breax Laboratory, PCAB Research Center of Breath and Metabolism, Beijing, China
| | - Mengqi He
- Breax Laboratory, PCAB Research Center of Breath and Metabolism, Beijing, China
| | - Peize Zhang
- Division Two of Pulmonary Diseases Department, The Third People's Hospital of Shenzhen, National clinical research center for infectious disease, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Haibin Chen
- Breax Laboratory, PCAB Research Center of Breath and Metabolism, Beijing, China
| | - Guofang Deng
- Division Two of Pulmonary Diseases Department, The Third People's Hospital of Shenzhen, National clinical research center for infectious disease, Southern University of Science and Technology, Shenzhen, Guangdong, China
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13
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Fu L, Wang L, Wang H, Yang M, Yang Q, Lin Y, Guan S, Deng Y, Liu L, Li Q, He M, Zhang P, Chen H, Deng G. A cross-sectional study: a breathomics based pulmonary tuberculosis detection method. BMC Infect Dis 2023; 23:148. [PMID: 36899314 PMCID: PMC9999612 DOI: 10.1186/s12879-023-08112-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 02/22/2023] [Indexed: 03/12/2023] Open
Abstract
BACKGROUND Diagnostics for pulmonary tuberculosis (PTB) are usually inaccurate, expensive, or complicated. The breathomics-based method may be an attractive option for fast and noninvasive PTB detection. METHOD Exhaled breath samples were collected from 518 PTB patients and 887 controls and tested on the real-time high-pressure photon ionization time-of-flight mass spectrometer. Machine learning algorithms were employed for breathomics analysis and PTB detection mode, whose performance was evaluated in 430 blinded clinical patients. RESULTS The breathomics-based PTB detection model achieved an accuracy of 92.6%, a sensitivity of 91.7%, a specificity of 93.0%, and an AUC of 0.975 in the blinded test set (n = 430). Age, sex, and anti-tuberculosis treatment does not significantly impact PTB detection performance. In distinguishing PTB from other pulmonary diseases (n = 182), the VOC modes also achieve good performance with an accuracy of 91.2%, a sensitivity of 91.7%, a specificity of 88.0%, and an AUC of 0.961. CONCLUSIONS The simple and noninvasive breathomics-based PTB detection method was demonstrated with high sensitivity and specificity, potentially valuable for clinical PTB screening and diagnosis.
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Affiliation(s)
- Liang Fu
- Division Two of the Pulmonary Diseases Department, The Third People's Hospital of Shenzhen, National Clinical Research Center for Infectious Disease, Southern University of Science and Technology, Shenzhen, 518112, China
| | - Lei Wang
- Breax Laboratory, PCAB Research Center of Breath and Metabolism, Beijing, 100074, China
| | - Haibo Wang
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing, 100000, China
| | - Min Yang
- Division Two of the Pulmonary Diseases Department, The Third People's Hospital of Shenzhen, National Clinical Research Center for Infectious Disease, Southern University of Science and Technology, Shenzhen, 518112, China
| | - Qianting Yang
- Institute for Hepatology, The Third People's Hospital of Shenzhen, National Clinical Research Center for Infectious Disease, Southern University of Science and Technology, Shenzhen, 518112, China
| | - Yi Lin
- Division Two of the Pulmonary Diseases Department, The Third People's Hospital of Shenzhen, National Clinical Research Center for Infectious Disease, Southern University of Science and Technology, Shenzhen, 518112, China
| | - Shanyi Guan
- Medical Examination Department, The Third People's Hospital of Shenzhen, National Clinical Research Center for Infectious Disease, Southern University of Science and Technology, Shenzhen, 518112, China
| | - Yongcong Deng
- Pulmonary Diseases Out-Patient Department, The Third People's Hospital of Shenzhen, National Clinical Research Center for Infectious Disease, Southern University of Science and Technology, Shenzhen, 518112, China
| | - Lei Liu
- Division Two of the Pulmonary Diseases Department, The Third People's Hospital of Shenzhen, National Clinical Research Center for Infectious Disease, Southern University of Science and Technology, Shenzhen, 518112, China
| | - Qingyun Li
- Breax Laboratory, PCAB Research Center of Breath and Metabolism, Beijing, 100074, China
| | - Mengqi He
- Breax Laboratory, PCAB Research Center of Breath and Metabolism, Beijing, 100074, China
| | - Peize Zhang
- Division Two of the Pulmonary Diseases Department, The Third People's Hospital of Shenzhen, National Clinical Research Center for Infectious Disease, Southern University of Science and Technology, Shenzhen, 518112, China.
| | - Haibin Chen
- Breax Laboratory, PCAB Research Center of Breath and Metabolism, Beijing, 100074, China.
| | - Guofang Deng
- Division Two of the Pulmonary Diseases Department, The Third People's Hospital of Shenzhen, National Clinical Research Center for Infectious Disease, Southern University of Science and Technology, Shenzhen, 518112, China.
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14
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Kia P, Ruman U, Pratiwi AR, Hussein MZ. Innovative Therapeutic Approaches Based on Nanotechnology for the Treatment and Management of Tuberculosis. Int J Nanomedicine 2023; 18:1159-1191. [PMID: 36919095 PMCID: PMC10008450 DOI: 10.2147/ijn.s364634] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Accepted: 02/06/2023] [Indexed: 03/11/2023] Open
Abstract
Tuberculosis (TB), derived from bacterium named Mycobacterium tuberculosis, has become one of the worst infectious and contagious illnesses in the world after HIV/AIDS. Long-term therapy, a high pill burden, lack of compliance, and strict management regimens are disadvantages which resulted in the extensively drug-resistant (XDR) along with multidrug-resistant (MDR) in the treatment of TB. One of the main thrust areas for the current scenario is the development of innovative intervention tools for early diagnosis and therapeutics towards Mycobacterium tuberculosis (MTB). This review discusses various nanotherapeutic agents that have been developed for MTB diagnostics, anti-TB drugs and vaccine. Undoubtedly, the concept of employing nanoparticles (NPs) has strong potential in this therapy and offers impressive outcomes to conquer the disease. Nanocarriers with different types were designed for drug delivery applications via various administration methods. Controlling and maintaining the drug release might be an example of the benefits of utilizing a drug-loaded NP in TB therapy over conventional drug therapy. Furthermore, the drug-encapsulated NP is able to lessen dosage regimen and can resolve the problems of insufficient compliance. Over the past decade, NPs were developed in both diagnostic and therapeutic methods, while on the other hand, the therapeutic system has increased. These "theranostic" NPs were designed for nuclear imaging, optical imaging, ultrasound, imaging with magnetic resonance and the computed tomography, which includes both single-photon computed tomography and positron emission tomography. More specifically, the current manuscript focuses on the status of therapeutic and diagnostic approaches in the treatment of TB.
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Affiliation(s)
- Pooneh Kia
- Institute of Bioscience, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
| | - Umme Ruman
- Nanomaterials Synthesis and Characterization Laboratory (NSCL), Institute of Nanoscience and Nanotechnology (ION2), Universiti Putra Malaysia, UPM Serdang, Selangor, Malaysia
| | - Ariyati Retno Pratiwi
- Department of Oral Biology, Faculty of Dentistry, Universitas Brawijaya, Malang, Indonesia
| | - Mohd Zobir Hussein
- Nanomaterials Synthesis and Characterization Laboratory (NSCL), Institute of Nanoscience and Nanotechnology (ION2), Universiti Putra Malaysia, UPM Serdang, Selangor, Malaysia
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15
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Ataabadi MS, Bahmanpour S, Yousefinejad S, Alaee S. Blood volatile organic compounds as potential biomarkers for poly cystic ovarian syndrome (PCOS): An animal study in the PCOS rat model. J Steroid Biochem Mol Biol 2023; 226:106215. [PMID: 36332782 DOI: 10.1016/j.jsbmb.2022.106215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 10/28/2022] [Accepted: 10/30/2022] [Indexed: 11/06/2022]
Abstract
Polycystic ovary syndrome (PCOS) as a common metabolic and endocrinological disorder can affect the metabolic profile in biological fluids. We studied the profile of blood volatile organic compounds (VOCs) in rats with PCOS and controls to identify potential specific biomarkers of blood VOCs in PCOS rats. For this purpose, 30 female adult Wistar rats were assigned to two groups: control and PCOS groups. PCOS model was induced using letrozole gavage (1 mg/kg) for 21 days. The rats in the control group received water of the same volume for 21 days. During treatment, a collection of vaginal smears was done every day for estrus cycle determination and weight was measured weekly. On the day after the last administration of letrozole, the rats were killed and their blood and ovaries were collected. Testosterone levels and histologic changes in ovaries were examined. Also, headspace-solid phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) analyzed the VOCs in the blood of PCOS and control rats. Multivariate and univariate statistical analyses were used to find the potential biomarkers for a rat model of PCOS. Weight gain, ovarian and vaginal pathological alteration, as well as hyperandrogenemia, confirmed the successful induction of the PCOS in rats. The results of blood VOCs analysis showed that nine VOCs were significantly elevated and one VOC decreased in the PCOS group than the control group (P < 0/05). The partial least-squares discriminant analysis (PLS-DA) and principal component analysis (PCA) showed good separation of VOCs between the PCOS rats and the control group. The 4-ethylphenol and capric (decanoic) acid were selected as the potential biomarkers for PCOS diagnosis in the blood of the PCOS rats. The blood of PCOS rats had a specific profile of VOCs, which could be detected by GC-MS analysis. These findings can pave the way for further studies towards developing a new screening method for PCOS detection and studying their pathology, based on VOCs analysis.
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Affiliation(s)
- Mahmoud Sadeghi Ataabadi
- Department of Reproductive Biology, School of Advanced Medical Sciences and Technologies, Shiraz Univcersity of Medical Sciences, Shiraz, Iran
| | - Soghra Bahmanpour
- Department of Anatomy, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Saeed Yousefinejad
- Research Center for Health Sciences, Institute of Health, Department of Occupational Health Engineering, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
| | - Sanaz Alaee
- Department of Reproductive Biology, School of Advanced Medical Sciences and Technologies, Shiraz Univcersity of Medical Sciences, Shiraz, Iran
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16
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Zhang P, Ren T, Chen H, Li Q, He M, Feng Y, Wang L, Huang T, Yuan J, Deng G, Lu H. A feasibility study of COVID-19 detection using breath analysis by high-pressure photon ionization time-of-flight mass spectrometry. J Breath Res 2022; 16. [PMID: 36052728 DOI: 10.1088/1752-7163/ac8ea1] [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: 03/03/2022] [Accepted: 08/11/2022] [Indexed: 11/11/2022]
Abstract
BACKGROUND SARS-CoV-2 has caused a tremendous threat to global health. PCR and antigen testing have played a prominent role in the detection of SARS-CoV-2-infected individuals and disease control. An efficient, reliable detection tool is still urgently needed to halt the global COVID-19 pandemic. Recently, FDA emergency approved VOC as an alternative test for COVID-19 detection. METHODS AND MATERIALS In this case-control study, we prospectively and consecutively recruited 95 confirmed COVID-19 patients and 106 healthy controls in the designated hospital for treatment of COVID-19 patients in Shenzhen, China. Exhaled breath samples were collected and stored in customized bags and then detected by HPPI-TOFMS for volatile organic components (VOCs). Machine learning (ML) algorithms were employed for COVID-19 detection model construction. Participants were randomly assigned in a 5:2:3 ratio to the training, validation, and blinded test sets. The sensitivity (SEN), specificity (SPE), and other general metrics were employed for the VOCs based COVID-19 detection model performance evaluation. RESULTS The VOCs based COVID-19 detection model achieved good performance, with a SEN of 92.2% (95% CI: 83.8%, 95.6%), a SPE of 86.1% (95% CI: 74.8%, 97.4%) on blinded test set. Five potential VOC ions related to COVID-19 infection were discovered, which are significantly different between COVID-19 infected patients and controls. CONCLUSIONS This study evaluated a simple, fast, non-invasive VOCs-based COVID-19 detection method and demonstrated that it has good sensitivity and specificity in distinguishing COVID-19 infected patients from controls. It has great potential for fast and accurate COVID-19 detection.
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Affiliation(s)
- Peize Zhang
- Department of Pulmonary medicine and Tuberculosis, Shenzhen Third People's Hospital, No. 29, Bulan Road, Longgang District, Shenzhen, 518112, CHINA
| | - Tantan Ren
- Department of Pulmonary medicine and Tuberculosis, Shenzhen Third People's Hospital, No. 29, Bulan Road, Longgang District, Shenzhen, 518112, CHINA
| | - Haibin Chen
- Breax Laboratory, PCAB Research Center of Breath and Metabolism, 3rd Gangnanli, Fengtai Distinct, Beijing, 100071, CHINA
| | - Qingyun Li
- Breax Laboratory, PCAB Research Center of Breath and Metabolism, 3rd Gangnanli, Fengtai Distinct, Beijing, 100071, CHINA
| | - Mengqi He
- Breax Laboratory, PCAB Research Center of Breath and Metabolism, 3rd Gangnanli, Fengtai Distinct, Beijing, 100071, CHINA
| | - Yong Feng
- Breax Laboratory, PCAB Research Center of Breath and Metabolism,, 3rd Gangnanli, Fengtai Distinct, Beijing, 100071, CHINA
| | - Lei Wang
- Breax Laboratory, PCAB Research Center of Breath and Metabolism, 3rd Gangnanli, Fengtai Distinct, Beijing, 100071, CHINA
| | - Ting Huang
- Department of Disease Control, Shenzhen Third People's Hospital, No. 29, Bulan Road, Longgang District, Beijing, 100071, CHINA
| | - Jing Yuan
- Department of Infectious Disease, Shenzhen Third People's Hospital, No. 29, Bulan Road, Longgang District, Shenzhen, 518112, CHINA
| | - Guofang Deng
- Department of Pulmonary medicine and Tuberculosis,, Shenzhen Third People's Hospital, No. 29, Bulan Road, Longgang District, Shenzhen, Shenzhen, 518112, CHINA
| | - Hongzhou Lu
- Department of Infectious Disease, Shenzhen Third People's Hospital, No. 29, Bulan Road, Longgang District, Shenzhen, 518112, CHINA
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17
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Getahun MN, Ngiela J, Makwatta JO, Ahuya P, Simon TK, Kamau SK, Torto B, Masiga D. Metabolites From Trypanosome-Infected Cattle as Sensitive Biomarkers for Animal Trypanosomosis. Front Microbiol 2022; 13:922760. [PMID: 35910617 PMCID: PMC9329068 DOI: 10.3389/fmicb.2022.922760] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 06/16/2022] [Indexed: 11/13/2022] Open
Abstract
Trypanosomes are important global livestock and human pathogens of public health importance. Elucidating the chemical mechanisms of trypanosome-relevant host interactions can enhance the design and development of a novel, next-generation trypanosomosis diagnostics. However, it is unknown how trypanosome infection affects livestock volatile odors. Here, we show that Trypanosoma congolense and Trypanosoma vivax infections induced dihydro-β- ionone and junenol, while abundance of dihydro-α-ionone, phenolics, p-cresol, and 3-propylphenol significantly elevated in cow urine. These biomarkers of trypanosome infection are conserved in cow breath and the urine metabolites of naturally infected cows, regardless of population, diet, or environment differences. Furthermore, treating trypanosome-infected cows reduced the levels of these indicators back to the pre-infection levels. Finally, we demonstrated that the potential of some specific biomarkers of phenolic origin may be used to detect active trypanosome infections, including low-level infections that are not detectable by microscopy. The sensitivity and specificity of biomarkers detection are suited for rapid, robust, and non-invasive trypanosomosis diagnosis under field conditions.
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Affiliation(s)
- Merid N. Getahun
- International Centre of Insect Physiology and Ecology, Nairobi, Kenya
- *Correspondence: Merid N. Getahun,
| | - John Ngiela
- International Centre of Insect Physiology and Ecology, Nairobi, Kenya
| | | | - Peter Ahuya
- International Centre of Insect Physiology and Ecology, Nairobi, Kenya
| | - Tawich K. Simon
- International Centre of Insect Physiology and Ecology, Nairobi, Kenya
| | | | - Baldwyn Torto
- International Centre of Insect Physiology and Ecology, Nairobi, Kenya
| | - Daniel Masiga
- International Centre of Insect Physiology and Ecology, Nairobi, Kenya
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18
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Mani-Varnosfaderani A, Gao A, Poch KR, Caceres SM, Nick JA, Hill JE. Breath biomarkers associated with nontuberculosis mycobacteriadisease status in persons with cystic fibrosis: a pilot study. J Breath Res 2022; 16:031001. [PMID: 35487186 DOI: 10.1088/1752-7163/ac6bb6] [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: 12/07/2021] [Accepted: 04/29/2022] [Indexed: 11/11/2022]
Abstract
Pulmonary infections caused by mycobacteria cause significant mortality and morbidity in the human population. Diagnosing mycobacterial infections is challenging. An infection can lead to active disease or remain indolent with little clinical consequence. In patients with pulmonarynontuberculosis mycobacteria(PNTM) identification of infection and diagnosis of disease can take months to years. Our previous studies showed the potential diagnostic power of volatile molecules in the exhaled breath samples to detect active pulmonaryM. tuberculosisinfection. Herein, we demonstrate the ability to detect the disease status of PNTM in the breath of persons with cystic fibrosis (PwCF). We putatively identified 17 volatile molecules that could discriminate between active-NTM disease (n= 6), indolent patients (n= 3), and those patients who have never cultured an NTM (n= 2). The results suggest that further confirmation of the breath biomarkers as a non-invasive and culture-independent tool for diagnosis of NTM disease in a larger cohort of PwCF is warranted.
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Affiliation(s)
- Ahmad Mani-Varnosfaderani
- Department of Chemical and Biological Engineering, School of Biomedical Engineering, The University of British Columbia, Vancouver, Canada
| | - Antao Gao
- Department of Chemical and Biological Engineering, School of Biomedical Engineering, The University of British Columbia, Vancouver, Canada
| | - Katie R Poch
- Department of Medicine, National Jewish Health, Denver, CO, United States of America
| | - Silvia M Caceres
- Department of Medicine, National Jewish Health, Denver, CO, United States of America
| | - Jerry A Nick
- Department of Medicine, National Jewish Health, Denver, CO, United States of America
| | - Jane E Hill
- Department of Chemical and Biological Engineering, School of Biomedical Engineering, The University of British Columbia, Vancouver, Canada
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19
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Kochevalina MY, Bukharina AB, Trunov VG, Pento AV, Morozova OV, Kogun' GA, Simanovsky YO, Nikiforov SM, Rodionova EI. Changes in the urine volatile metabolome throughout growth of transplanted hepatocarcinoma. Sci Rep 2022; 12:7774. [PMID: 35546342 PMCID: PMC9095867 DOI: 10.1038/s41598-022-11818-0] [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: 08/19/2021] [Accepted: 04/27/2022] [Indexed: 11/26/2022] Open
Abstract
Trained detection dogs distinguish between urine samples from healthy organisms and organisms with malignant tumors, suggesting that the volatile urine metabolome contains information about tumor progression. The aim of this study was to determine whether the stage of tumor growth affects the chemical differences in the urine of mice and to what extent the "olfactory image of disease" perceived by dogs coincides with the "image of disease" recorded by the mass spectrometer. We used a novel laser ionization mass spectrometry method and propose a mass spectrometric analysis without detailed interpretation of the spectrum of volatile metabolomes in urine. The mass spectrometer we use works without sample preparation and registers volatile organic compounds in air at room temperature without changing the pH of the sample, i.e. under conditions similar to those in which dogs solve the same problem. The experimental cancer models were male BDF-f1 hybrid mice transplanted with hepatocarcinoma tissue, and similar mice transplanted with healthy liver tissue were used as controls. Our data show that both dogs and our proposed laser mass spectrometry method are able to detect both the entire spectrum of volatile organic compounds associated with the disease and minor changes in this spectrum during its course.
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Affiliation(s)
- M Yu Kochevalina
- Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russia
| | - A B Bukharina
- Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia
| | - V G Trunov
- Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russia
| | - A V Pento
- Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia
| | - O V Morozova
- N.N. Blokhin National Medical Research Center of Oncology, Ministry of Health of the Russian Federation, Moscow, Russia
| | - G A Kogun'
- Cynological Division of Aviation Security Service, Aeroflot, Russian Airlines, Moscow, Russia
| | - Ya O Simanovsky
- Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia
| | - S M Nikiforov
- Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia
| | - E I Rodionova
- Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russia.
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20
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Woollam M, Siegel A, Grocki P, Saunders JL, Sanders DB, Agarwal M, Davis MD. Preliminary method for profiling volatile organic compounds in breath that correlate with pulmonary function and other clinical traits of subjects diagnosed with cystic fibrosis: a pilot study. J Breath Res 2022; 16. [PMID: 35120338 DOI: 10.1088/1752-7163/ac522f] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 02/04/2022] [Indexed: 11/12/2022]
Abstract
Cystic fibrosis (CF) is characterized by chronic respiratory infections which progressively decrease lung function over time. Affected individuals experience episodes of intensified respiratory symptoms called pulmonary exacerbations (PEx) which accelerate pulmonary function decline and decrease survival. There is no standard classification for PEx, which results in treatments that are heterogeneous. Improving PEx classification and management is a significant priority for people with CF. Previous studies have shown volatile organic compounds (VOCs) in exhaled breath can be used as biomarkers because they are products of metabolic pathways dysregulated by different diseases. To provide insights on PEx classification and other clinical factors, exhaled breath was collected from subjects with CF, with some experiencing PEx and others at baseline. Exhaled breath was collected in Tedlar bags during tidal breathing for VOC analysis by solid phase microextraction coupled to gas chromatography-mass spectrometry. Statistical significance testing between quantitative and categorical clinical variables displayed percent-predicted forced expiratory volume in one second (FEV1pp) was decreased in subjects experiencing PEx. VOCs correlating with other clinical variables (body mass index, age, use of highly effective modulator therapies, and need for antibiotics) were also explored. VOCs correlating to potential confounding variables were removed and analyzed by regression for correlations with FEV1pp measurements. The VOC with the highest correlation with FEV1pp (3,7-dimethyldecane) also gave the lowest p-value when comparing subjects at baseline and during PEx. Receiver operator characteristic curves showed 3,7-dimethyldecane had a higher ability to classify PEx (area under the curve (AUC) = 0.91) relative to FEV1pp values at collection (AUC = 0.83). However, normalized ΔFEV1pp values had the highest capability to distinguish PEx (AUC = 0.93). These results show that exhaled VOCs may be a source of biomarkers for various clinical traits of CF, including PEx, that should be explored in larger sample cohorts and validation studies.
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Affiliation(s)
- Mark Woollam
- Chemistry and Chemical Biology, Indiana University - Purdue University at Indianapolis, 755 West Michigan Street 1140, Indianapolis, Indiana, 46202, UNITED STATES
| | - Amanda Siegel
- Department of Chemistry and Chemical Biology, Indiana University Purdue University Indianapolis, 402 N Blackford St., LD326, Indianapolis, Indiana, 46202, UNITED STATES
| | - Paul Grocki
- Chemistry and Chemical Biology, Indiana University - Purdue University at Indianapolis, 755 West Michigan Street 1140, Indianapolis, Indiana, 46202, UNITED STATES
| | - Jessica L Saunders
- Pulmonology, Allergy, and Sleep Medicine, Riley Hospital for Children, 705 Riley Hospital Drive, Indianapolis, Indiana, 46202, UNITED STATES
| | - Don B Sanders
- Pulmonology, Allergy, and Sleep Medicine, Riley Hospital for Children, 705 Riley Hospital Drive, Indianapolis, Indiana, 46202, UNITED STATES
| | - Mangilal Agarwal
- Mechanical and Energy Engineering, Indiana University - Purdue University at Indianapolis, 755 West Michigan Street 1140, Indianapolis, Indiana, 46202, UNITED STATES
| | - Michael D Davis
- Pulmonary Medicine, Herman B Wells Center for Pediatric Research, 1044 W. Walnut St., Indianapolis, Indiana, 46202, UNITED STATES
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21
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Issitt T, Wiggins L, Veysey M, Sweeney S, Brackenbury W, Redeker K. Volatile compounds in human breath: critical review and meta-analysis. J Breath Res 2022; 16. [PMID: 35120340 DOI: 10.1088/1752-7163/ac5230] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 02/04/2022] [Indexed: 11/12/2022]
Abstract
Volatile compounds contained in human breath reflect the inner workings of the body. A large number of studies have been published that link individual components of breath to disease, but diagnostic applications remain limited, in part due to inconsistent and conflicting identification of breath biomarkers. New approaches are therefore required to identify effective biomarker targets. Here, volatile organic compounds have been identified in the literature from four metabolically and physiologically distinct diseases and grouped into chemical functional groups (e.g. - methylated hydrocarbons or aldehydes; based on known metabolic and enzymatic pathways) to support biomarker discovery and provide new insight on existing data. Using this functional grouping approach, principal component analysis doubled explanatory capacity from 19.1% to 38% relative to single individual compound approaches. Random forest and linear discriminant analysis reveal 93% classification accuracy for cancer. This review and meta-analysis provides insight for future research design by identifying volatile functional groups associated with disease. By incorporating our understanding of the complexities of the human body, along with accounting for variability in methodological and analytical approaches, this work demonstrates that a suite of targeted, functional volatile biomarkers, rather than individual biomarker compounds, will improve accuracy and success in diagnostic research and application.
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Affiliation(s)
- Theo Issitt
- Biology, University of York, University of York, York, York, YO10 5DD, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Laura Wiggins
- Biology, University of York, University of York, York, York, YO10 5DD, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Martin Veysey
- The University of Newcastle, School of Medicine & Public Health, Callaghan, New South Wales, 2308, AUSTRALIA
| | - Sean Sweeney
- Biology, University of York, University of York, York, York, YO10 5DD, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - William Brackenbury
- Biology, University of York, University of York, York, York, YO10 5DD, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Kelly Redeker
- Biology, University of York, Biology Dept. University of York, York, York, North Yorkshire, YO10 5DD, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
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22
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Plantier L, Smolinska A, Fijten R, Flamant M, Dallinga J, Mercadier JJ, Pachen D, d'Ortho MP, van Schooten FJ, Crestani B, Boots AW. The use of exhaled air analysis in discriminating interstitial lung diseases: a pilot study. Respir Res 2022; 23:12. [PMID: 35057817 PMCID: PMC8772159 DOI: 10.1186/s12931-021-01923-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 12/29/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Fibrotic Interstitial lung diseases (ILD) are a heterogeneous group of chronic lung diseases characterized by diverse degrees of lung inflammation and remodeling. They include idiopathic ILD such as idiopathic pulmonary fibrosis (IPF), and ILD secondary to chronic inflammatory diseases such as connective tissue disease (CTD). Precise differential diagnosis of ILD is critical since anti-inflammatory and immunosuppressive drugs, which are beneficial in inflammatory ILD, are detrimental in IPF. However, differential diagnosis of ILD is still difficult and often requires an invasive lung biopsy. The primary aim of this study is to identify volatile organic compounds (VOCs) patterns in exhaled air to non-invasively discriminate IPF and CTD-ILD. As secondary aim, the association between the IPF and CTD-ILD discriminating VOC patterns and functional impairment is investigated. METHODS Fifty-three IPF patients, 53 CTD-ILD patients and 51 controls donated exhaled air, which was analyzed for its VOC content using gas chromatograph- time of flight- mass spectrometry. RESULTS By applying multivariate analysis, a discriminative profile of 34 VOCs was observed to discriminate between IPF patients and healthy controls whereas 11 VOCs were able to distinguish between CTD-ILD patients and healthy controls. The separation between IPF and CTD-ILD could be made using 16 discriminating VOCs, that also displayed a significant correlation with total lung capacity and the 6 min' walk distance. CONCLUSIONS This study reports for the first time that specific VOC profiles can be found to differentiate IPF and CTD-ILD from both healthy controls and each other. Moreover, an ILD-specific VOC profile was strongly correlated with functional parameters. Future research applying larger cohorts of patients suffering from a larger variety of ILDs should confirm the potential use of breathomics to facilitate fast, non-invasive and proper differential diagnosis of specific ILDs in the future as first step towards personalized medicine for these complex diseases.
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Affiliation(s)
- L Plantier
- Department of Pulmonology and Lung Function Testing, CHRU, Tours, France
- Université de Tours, Tours, France
- Centre d'Etude des Pathologies Respiratoires, INSERM UMR1100, Tours, France
| | - A Smolinska
- Department of Pharmacology and Toxicology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
| | - R Fijten
- Department of Pharmacology and Toxicology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
- Department of Radiation Oncology (Maastro) GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre, 6229 ET, Maastricht, The Netherlands
| | - M Flamant
- Service de Physiologie - Explorations Fonctionnelle, Assistance Publique-Hôpitaux de Paris, Hôpital Bichat, Paris, France
| | - J Dallinga
- Department of Pharmacology and Toxicology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
| | - J J Mercadier
- Service de Physiologie - Explorations Fonctionnelle, Assistance Publique-Hôpitaux de Paris, Hôpital Bichat, Paris, France
| | - D Pachen
- Department of Pharmacology and Toxicology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
| | - M P d'Ortho
- Service de Physiologie - Explorations Fonctionnelle, Assistance Publique-Hôpitaux de Paris, Hôpital Bichat, Paris, France
- Université de Paris, INSERM UMR 1141, NeuroDiderot, France
| | - F J van Schooten
- Department of Pharmacology and Toxicology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
| | - B Crestani
- Service de Pneumologie A, DHU FIRE, Assistance Publique-Hôpitaux de Paris, Hôpital Bichat, Paris, France
- Université Paris Diderot, PRES Sorbonne Paris Cité, Paris, France
- INSERM UMR1152, Labex Inflamex, Paris, France
| | - A W Boots
- Department of Pharmacology and Toxicology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands.
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23
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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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24
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Abstract
BACKGROUND Starkly highlighted by the current COVID-19 pandemic, infectious diseases continue to have an outsized impact on human health worldwide. Diagnostic testing for infection can be challenging due to resource limitations, time constraints, or shortcomings in the accuracy of existing diagnostics. Rapid, simple diagnostics are highly desirable. There is increasing interest in the development of diagnostics that use exhaled breath analysis as a convenient and safe diagnostic method, as breath sampling is noninvasive, secure, and easy to perform. Volatile organic compounds (VOCs) present in exhaled breath reflect the fingerprint of the underlying metabolic and biophysical processes during disease. CONTENT In this review, we overview the major biomarkers present in exhaled breath in infectious diseases. We outline the promising recent advances in breath-based diagnosis of respiratory infections, including those caused by influenza virus, SARS-CoV-2, Mycobacterium tuberculosis, Pseudomonas aeruginosa, and Aspergillus fumigatus. In addition, we review the current landscape of diagnosis of 2 other globally important infections: Helicobacter pylori gastrointestinal infection and malaria. SUMMARY Characteristic and reproducible breath VOCs are associated with several infectious diseases, suggesting breath analysis as a promising strategy for diagnostic development. Ongoing challenges include poor standardization of breath collection and analysis and lack of validation studies. Further research is required to expand the applicability of breath analysis to clinical settings.
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Affiliation(s)
- Amalia Z Berna
- Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Audrey R Odom John
- Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, PA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
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25
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Gong W, Wu X. Differential Diagnosis of Latent Tuberculosis Infection and Active Tuberculosis: A Key to a Successful Tuberculosis Control Strategy. Front Microbiol 2021; 12:745592. [PMID: 34745048 PMCID: PMC8570039 DOI: 10.3389/fmicb.2021.745592] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 09/24/2021] [Indexed: 12/16/2022] Open
Abstract
As an ancient infectious disease, tuberculosis (TB) is still the leading cause of death from a single infectious agent worldwide. Latent TB infection (LTBI) has been recognized as the largest source of new TB cases and is one of the biggest obstacles to achieving the aim of the End TB Strategy. The latest data indicate that a considerable percentage of the population with LTBI and the lack of differential diagnosis between LTBI and active TB (aTB) may be potential reasons for the high TB morbidity and mortality in countries with high TB burdens. The tuberculin skin test (TST) has been used to diagnose TB for > 100 years, but it fails to distinguish patients with LTBI from those with aTB and people who have received Bacillus Calmette–Guérin vaccination. To overcome the limitations of TST, several new skin tests and interferon-gamma release assays have been developed, such as the Diaskintest, C-Tb skin test, EC-Test, and T-cell spot of the TB assay, QuantiFERON-TB Gold In-Tube, QuantiFERON-TB Gold-Plus, LIAISON QuantiFERON-TB Gold Plus test, and LIOFeron TB/LTBI. However, these methods cannot distinguish LTBI from aTB. To investigate the reasons why all these methods cannot distinguish LTBI from aTB, we have explained the concept and definition of LTBI and expounded on the immunological mechanism of LTBI in this review. In addition, we have outlined the research status, future directions, and challenges of LTBI differential diagnosis, including novel biomarkers derived from Mycobacterium tuberculosis and hosts, new models and algorithms, omics technologies, and microbiota.
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Affiliation(s)
- Wenping Gong
- Tuberculosis Prevention and Control Key Laboratory/Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, The 8th Medical Center of PLA General Hospital, Beijing, China
| | - Xueqiong Wu
- Tuberculosis Prevention and Control Key Laboratory/Beijing Key Laboratory of New Techniques of Tuberculosis Diagnosis and Treatment, Senior Department of Tuberculosis, The 8th Medical Center of PLA General Hospital, Beijing, China
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26
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Li ZT, Zeng PY, Chen ZM, Guan WJ, Wang T, Lin Y, Li SQ, Zhang ZJ, Zhan YQ, Wang MD, Tan GB, Li X, Ye F. Exhaled Volatile Organic Compounds for Identifying Patients With Chronic Pulmonary Aspergillosis. Front Med (Lausanne) 2021; 8:720119. [PMID: 34631744 PMCID: PMC8495266 DOI: 10.3389/fmed.2021.720119] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 08/31/2021] [Indexed: 12/20/2022] Open
Abstract
Background: Diagnosing chronic pulmonary aspergillosis is a major challenge in clinical practice. The development and validation of a novel, sensitive and specific assay for diagnosing chronic pulmonary aspergillosis is urgently needed. Methods: From April 2018 to June 2019, 53 patients with chronic pulmonary aspergillosis (CPA), 32 patients with community-acquired pneumonia (CAP) and 48 healthy controls were recruited from the First Affiliated Hospital of Guangzhou Medical University. Clinical characteristics and samples were collected at enrollment. All exhaled breath samples were analyzed offline using thermal desorption single-photon ionization time-of-flight mass spectrometry; to analyze the metabolic pathways of the characteristic volatile organic compounds, serum samples were subjected to ultrahigh-performance liquid chromatography. Results: We identified characteristic volatile organic compounds in patients with chronic pulmonary aspergillosis, which mainly consisted of phenol, neopentyl alcohol, toluene, limonene and ethylbenzene. These compounds were assessed using a logistic regression model. The sensitivity and specificity were 95.8 and 96.9% for discriminating patients in the CPA group from those in the CAP group and 95.8 and 97.9% for discriminating patients in the CPA group from healthy controls, respectively. The concentration of limonene (m/z 136) correlated significantly positively with anti-Aspergillus fumigatus IgG antibody titers (r = 0.420, P < 0.01). After antifungal treatment, serum IgG and the concentration of limonene (m/z 136) decreased in the subgroup of patients with chronic pulmonary aspergillosis. Conclusions: We identified VOCs that can be used as biomarkers for differential diagnosis and therapeutic response prediction in patients with chronic pulmonary aspergillosis.
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Affiliation(s)
- Zheng-Tu Li
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Pei-Ying Zeng
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhao-Ming Chen
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wei-Jie Guan
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,Department of Thoracic Surgery, Guangzhou Institute for Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Tong Wang
- Institute of Mass Spectrometry and Atmospheric Environment, Jinan University, Guangzhou, China.,Guangdong Provincial Engineering Research Center for On-Line Source Apportionment System of Air Pollution, Guangzhou, China
| | - Ye Lin
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Shao-Qiang Li
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhi-Juan Zhang
- Institute of Mass Spectrometry and Atmospheric Environment, Jinan University, Guangzhou, China.,Guangdong Provincial Engineering Research Center for On-Line Source Apportionment System of Air Pollution, Guangzhou, China.,College of Pharmacy, Hena University of Chinese Medicine, Zhengzhou, China
| | - Yang-Qing Zhan
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ming-Die Wang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Guo-Bin Tan
- Institute of Mass Spectrometry and Atmospheric Environment, Jinan University, Guangzhou, China.,Guangdong Provincial Engineering Research Center for On-Line Source Apportionment System of Air Pollution, Guangzhou, China.,Guangzhou Hexin Instrument Co., Ltd., Guangzhou, China
| | - Xue Li
- Institute of Mass Spectrometry and Atmospheric Environment, Jinan University, Guangzhou, China.,Guangdong Provincial Engineering Research Center for On-Line Source Apportionment System of Air Pollution, Guangzhou, China
| | - Feng Ye
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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27
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Rodríguez-Hernández P, Rodríguez-Estévez V, Arce L, Gómez-Laguna J. Application of Volatilome Analysis to the Diagnosis of Mycobacteria Infection in Livestock. Front Vet Sci 2021; 8:635155. [PMID: 34109231 PMCID: PMC8180594 DOI: 10.3389/fvets.2021.635155] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Accepted: 04/08/2021] [Indexed: 01/22/2023] Open
Abstract
Volatile organic compounds (VOCs) are small molecular mass metabolites which compose the volatilome, whose analysis has been widely employed in different areas. This innovative approach has emerged in research as a diagnostic alternative to different diseases in human and veterinary medicine, which still present constraints regarding analytical and diagnostic sensitivity. Such is the case of the infection by mycobacteria responsible for tuberculosis and paratuberculosis in livestock. Although eradication and control programs have been partly managed with success in many countries worldwide, the often low sensitivity of the current diagnostic techniques against Mycobacterium bovis (as well as other mycobacteria from Mycobacterium tuberculosis complex) and Mycobacterium avium subsp. paratuberculosis together with other hurdles such as low mycobacteria loads in samples, a tedious process of microbiological culture, inhibition by many variables, or intermittent shedding of the mycobacteria highlight the importance of evaluating new techniques that open different options and complement the diagnostic paradigm. In this sense, volatilome analysis stands as a potential option because it fulfills part of the mycobacterial diagnosis requirements. The aim of the present review is to compile the information related to the diagnosis of tuberculosis and paratuberculosis in livestock through the analysis of VOCs by using different biological matrices. The analytical techniques used for the evaluation of VOCs are discussed focusing on the advantages and drawbacks offered compared with the routine diagnostic tools. In addition, the differences described in the literature among in vivo and in vitro assays, natural and experimental infections, and the use of specific VOCs (targeted analysis) and complete VOC pattern (non-targeted analysis) are highlighted. This review emphasizes how this methodology could be useful in the problematic diagnosis of tuberculosis and paratuberculosis in livestock and poses challenges to be addressed in future research.
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Affiliation(s)
- Pablo Rodríguez-Hernández
- Department of Animal Production, International Agrifood Campus of Excellence (ceiA3), University of Córdoba, Córdoba, Spain
| | - Vicente Rodríguez-Estévez
- Department of Animal Production, International Agrifood Campus of Excellence (ceiA3), University of Córdoba, Córdoba, Spain
| | - Lourdes Arce
- Department of Analytical Chemistry, Inst Univ Invest Quim Fina and Nanoquim Inst Univ Invest Quim Fina and Nanoquim (IUNAN), International Agrifood Campus of Excellence (ceiA3), University of Córdoba, Córdoba, Spain
| | - Jaime Gómez-Laguna
- Department of Anatomy and Comparative Pathology and Toxicology, International Agrifood Campus of Excellence (ceiA3), University of Córdoba, Córdoba, Spain
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28
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Saktiawati AMI, Triyana K, Wahyuningtias SD, Dwihardiani B, Julian T, Hidayat SN, Ahmad RA, Probandari A, Mahendradhata Y. eNose-TB: A trial study protocol of electronic nose for tuberculosis screening in Indonesia. PLoS One 2021; 16:e0249689. [PMID: 33882070 PMCID: PMC8059810 DOI: 10.1371/journal.pone.0249689] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 03/16/2021] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Even though conceptually, Tuberculosis (TB) is almost always curable, it is currently the world's leading infectious killer. Patients with pulmonary TB are the source of transmission. Approximately 23% of the world's population is believed to be latently infected with TB bacteria, and 5-15% of them will progress at any point in time to develop the disease. There was a global diagnostic gap of 2.9 million between notifications of new cases and the estimated number of incident cases, and Indonesia carries the third-highest of this gap. Therefore, screening TB among the community is of great importance to prevent further transmission and infection. The electronic nose for screening TB (eNose-TB) project is initiated in Yogyakarta, Indonesia, to screen TB by breath test with an electronic-nose that is easy-to-use, point-of-care, does not expose patients to radiation, and can be produced at low cost. METHODS/DESIGN The objectives of the two-phase planned project are to: 1) investigate the potential of an eNose-TB as a screening tool in Indonesia, in comparison with screening with clinical symptoms and chest radiology, which are currently used as a standard, and 2) analyze the time and cost of a screening algorithm with eNose-TB to obtain additional case detection. A cross-sectional study will be conducted in the first phase to validate the eNose-TB. The validation phase will involve 395 presumptive TB patients in the Surakarta General Hospital, Central Java. In the second phase, a cross-sectional research will be conducted, involving 1,383 adults and children in the municipality of Yogyakarta and Kulon Progo district of Yogyakarta Province. DISCUSSION The findings will provide data concerning the sensitivity and specificity of the eNose-TB as a screening tool for tuberculosis, and the time and cost analysis of a screening algorithm with the eNose. TRIAL REGISTRATION NCT04567498; https://clinicaltrials.gov/.
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Affiliation(s)
| | - Kuwat Triyana
- Faculty of Mathematics and Natural Sciences, Department of Physics, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Siska Dian Wahyuningtias
- Faculty of Medicine, Public Health and Nursing, Center for Tropical Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Bintari Dwihardiani
- Faculty of Medicine, Public Health and Nursing, Center for Tropical Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Trisna Julian
- Faculty of Mathematics and Natural Sciences, Department of Physics, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Shidiq Nur Hidayat
- Faculty of Mathematics and Natural Sciences, Department of Physics, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Riris Andono Ahmad
- Faculty of Medicine, Public Health and Nursing, Center for Tropical Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia
- Faculty of Medicine, Public Health and Nursing, Department of Biostatistics, Epidemiology, and Population Health, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Ari Probandari
- Faculty of Medicine, Public Health and Nursing, Center for Tropical Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia
- Faculty of Medicine, Department of Public Health, Universitas Sebelas Maret, Surakarta, Indonesia
| | - Yodi Mahendradhata
- Faculty of Medicine, Public Health and Nursing, Center for Tropical Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia
- Faculty of Medicine, Public Health and Nursing, Department of Health Policy and Management, Universitas Gadjah Mada, Yogyakarta, Indonesia
- * E-mail:
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Bobak CA, Kang L, Workman L, Bateman L, Khan MS, Prins M, May L, Franchina FA, Baard C, Nicol MP, Zar HJ, Hill JE. Breath can discriminate tuberculosis from other lower respiratory illness in children. Sci Rep 2021; 11:2704. [PMID: 33526828 PMCID: PMC7851130 DOI: 10.1038/s41598-021-80970-w] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 12/28/2020] [Indexed: 01/30/2023] Open
Abstract
Pediatric tuberculosis (TB) remains a global health crisis. Despite progress, pediatric patients remain difficult to diagnose, with approximately half of all childhood TB patients lacking bacterial confirmation. In this pilot study (n = 31), we identify a 4-compound breathprint and subsequent machine learning model that accurately classifies children with confirmed TB (n = 10) from children with another lower respiratory tract infection (LRTI) (n = 10) with a sensitivity of 80% and specificity of 100% observed across cross validation folds. Importantly, we demonstrate that the breathprint identified an additional nine of eleven patients who had unconfirmed clinical TB and whose symptoms improved while treated for TB. While more work is necessary to validate the utility of using patient breath to diagnose pediatric TB, it shows promise as a triage instrument or paired as part of an aggregate diagnostic scheme.
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Affiliation(s)
- Carly A. Bobak
- grid.254880.30000 0001 2179 2404Thayer School of Engineering, Dartmouth College, Hanover, NH USA ,grid.254880.30000 0001 2179 2404Geisel School of Medicine, Dartmouth College, Hanover, NH USA
| | - Lili Kang
- grid.254880.30000 0001 2179 2404Thayer School of Engineering, Dartmouth College, Hanover, NH USA
| | - Lesley Workman
- grid.415742.10000 0001 2296 3850Department of Pediatrics and Child Health, MRC Unit on Child and Adolescent Health, University of Cape Town and Red Cross War Memorial Children’s Hospital, Cape Town, South Africa
| | - Lindy Bateman
- grid.415742.10000 0001 2296 3850Department of Pediatrics and Child Health, MRC Unit on Child and Adolescent Health, University of Cape Town and Red Cross War Memorial Children’s Hospital, Cape Town, South Africa
| | - Mohammad S. Khan
- grid.254880.30000 0001 2179 2404Thayer School of Engineering, Dartmouth College, Hanover, NH USA
| | - Margaretha Prins
- grid.415742.10000 0001 2296 3850Department of Pediatrics and Child Health, MRC Unit on Child and Adolescent Health, University of Cape Town and Red Cross War Memorial Children’s Hospital, Cape Town, South Africa
| | - Lloyd May
- grid.254880.30000 0001 2179 2404Thayer School of Engineering, Dartmouth College, Hanover, NH USA
| | - Flavio A. Franchina
- grid.254880.30000 0001 2179 2404Thayer School of Engineering, Dartmouth College, Hanover, NH USA ,grid.4861.b0000 0001 0805 7253Molecular Systems, Organic and Biological Analytical Chemistry Group, University of Liège, Liège, Belgium
| | - Cynthia Baard
- grid.415742.10000 0001 2296 3850Department of Pediatrics and Child Health, MRC Unit on Child and Adolescent Health, University of Cape Town and Red Cross War Memorial Children’s Hospital, Cape Town, South Africa
| | - Mark P. Nicol
- grid.7836.a0000 0004 1937 1151Division of Medical Microbiology and Institute for Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, South Africa ,grid.1012.20000 0004 1936 7910School of Biomedical Sciences, University of Western Australia, Perth, Australia
| | - Heather J. Zar
- grid.415742.10000 0001 2296 3850Department of Pediatrics and Child Health, MRC Unit on Child and Adolescent Health, University of Cape Town and Red Cross War Memorial Children’s Hospital, Cape Town, South Africa
| | - Jane E. Hill
- grid.254880.30000 0001 2179 2404Thayer School of Engineering, Dartmouth College, Hanover, NH USA
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Kanaan R, Farkas N, Hegyi P, Soós A, Hegyi D, Németh K, Horváth O, Tenk J, Mikó A, Szentesi A, Balaskó M, Szakács Z, Vasas A, Csupor D, Gyöngyi Z. Rats sniff out pulmonary tuberculosis from sputum: a diagnostic accuracy meta-analysis. Sci Rep 2021; 11:1877. [PMID: 33479276 PMCID: PMC7820466 DOI: 10.1038/s41598-021-81086-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 12/29/2020] [Indexed: 01/29/2023] Open
Abstract
In Sub-Saharan Africa, African giant pouched rats (Cricetomys gambianus) are trained to identify TB patients by smelling sputum. We conducted a systematic review and meta-analysis of the data to see if this novel method is comparable to traditional laboratory screening and detection methods like Ziehl–Neelsen stain-based assays (ZN) and bacterial culture. The search and data processing strategy is registered at PROSPERO (CRD42019123629). Medline via PubMed, EMBASE, Web of Science, and Cochrane Library databases were systematically searched for the keywords “pouched rat” and “tuberculosis”. Data from 53,181 samples obtained from 24,600 patients were extracted from seven studies. Using sample-wise detection, the sensitivity of the studies was 86.7% [95% CI 80.4–91.2%], while the specificity was 88.4% [95% CI 79.7–93.7%]. For patient-wise detection, the sensitivity was 81.3% [95% CI 64.0–91.4%], while the specificity was 73.4% [95% CI 62.8–81.9%]. Good and excellent classification was assessed by hierarchical summary receiver-operating characteristic analysis for patient-wise and sample-wise detections, respectively. Our study is the first systematic review and meta-analysis of the above relatively inexpensive and rapid screening method. The results indicate that African giant pouched rats can discriminate healthy controls from TB individuals by sniffing sputum with even a higher accuracy than a single ZN screening.
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Affiliation(s)
- Reem Kanaan
- Department of Public Health Medicine, Medical School, University of Pécs, Szigeti út, 12, 7624, Pécs, Hungary
| | - Nelli Farkas
- Institute of Bioanalysis, Medical School, University of Pécs, Pécs, Hungary.,Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary
| | - Péter Hegyi
- Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.,First Department of Medicine, Medical School, University of Pécs, Pécs, Hungary.,János Szentágothai Research Centre, University of Pécs, Pécs, Hungary.,Momentum Gastroenterology Multidisciplinary Research Group, Hungarian Academy of Sciences, University of Szeged, Szeged, Hungary
| | - Alexandra Soós
- Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.,Doctoral School of Clinical Medicine, University of Szeged, Szeged, Hungary
| | - Dávid Hegyi
- Department of Public Health Medicine, Medical School, University of Pécs, Szigeti út, 12, 7624, Pécs, Hungary
| | - Katalin Németh
- Department of Public Health Medicine, Medical School, University of Pécs, Szigeti út, 12, 7624, Pécs, Hungary
| | - Orsolya Horváth
- Department of Public Health Medicine, Medical School, University of Pécs, Szigeti út, 12, 7624, Pécs, Hungary
| | - Judit Tenk
- Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary
| | - Alexandra Mikó
- Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary
| | - Andrea Szentesi
- Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.,Momentum Gastroenterology Multidisciplinary Research Group, Hungarian Academy of Sciences, University of Szeged, Szeged, Hungary
| | - Márta Balaskó
- Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary
| | - Zsolt Szakács
- Institute for Translational Medicine, Medical School, University of Pécs, Pécs, Hungary.,János Szentágothai Research Centre, University of Pécs, Pécs, Hungary
| | - Andrea Vasas
- Department of Pharmacognosy, Faculty of Pharmacy, University of Szeged, Szeged, Hungary.,Interdisciplinary Centre of Natural Products, University of Szeged, Szeged, Hungary
| | - Dezső Csupor
- Department of Pharmacognosy, Faculty of Pharmacy, University of Szeged, Szeged, Hungary.,Interdisciplinary Centre of Natural Products, University of Szeged, Szeged, Hungary
| | - Zoltán Gyöngyi
- Department of Public Health Medicine, Medical School, University of Pécs, Szigeti út, 12, 7624, Pécs, Hungary.
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Mule NM, Patil DD, Kaur M. A comprehensive survey on investigation techniques of exhaled breath (EB) for diagnosis of diseases in human body. INFORMATICS IN MEDICINE UNLOCKED 2021. [DOI: 10.1016/j.imu.2021.100715] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
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Yan WJ, Zhou HY, Yan H. Characterization of and advanced diagnostic methods for ocular tuberculosis and tuberculosis. Int J Ophthalmol 2020; 13:1820-1826. [PMID: 33215016 DOI: 10.18240/ijo.2020.11.21] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Accepted: 09/30/2020] [Indexed: 11/23/2022] Open
Abstract
Tuberculosis (TB) is an airborne infection caused by Mycobacterium tuberculosis that usually affects the lungs. Timely treatment of active TB, diagnosis and prevention of latent TB are very important. However, extrapulmonary TB affects almost any tissues around the eye and orbit, and it then requires a high degree of suspicion to accurately diagnose. Diagnostic delays are common and may lead to morbidity. For ophthalmologists and infectious disease specialists, it is important to work together to accurately diagnose and treat ocular tuberculosis (OTB) to prevent vision loss. This review reports the latest advanced diagnostic methods for active TB and latent TB as well as various known manifestations of OTB. Important elements of diagnosis and treatment are also reviewed.
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Affiliation(s)
- Wei-Jia Yan
- Xi'an People's Hospital (Xi'an Fourth Hospital), Affiliated Northwestern Polytechnical University, Shaanxi Eye Hospital, Xi'an 710004, Shaanxi Province, China.,Department of Infection, Immunity & Cardiovascular Disease, University of Sheffield, Medical School, Sheffield S10 2RX, UK
| | - Hai-Yan Zhou
- Department of Ophthalmology, Shaanxi Provincial People's Hospital, Xi'an 710068, Shaanxi Province, China
| | - Hong Yan
- Xi'an People's Hospital (Xi'an Fourth Hospital), Affiliated Northwestern Polytechnical University, Shaanxi Eye Hospital, Xi'an 710004, Shaanxi Province, China
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Kuo TC, Tan CE, Wang SY, Lin OA, Su BH, Hsu MT, Lin J, Cheng YY, Chen CS, Yang YC, Chen KH, Lin SW, Ho CC, Kuo CH, Tseng YJ. Human Breathomics Database. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION 2020; 2020:5682403. [PMID: 31976536 PMCID: PMC6978997 DOI: 10.1093/database/baz139] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Revised: 09/12/2019] [Accepted: 11/13/2019] [Indexed: 12/11/2022]
Abstract
Breathomics is a special branch of metabolomics that quantifies volatile organic compounds (VOCs) from collected exhaled breath samples. Understanding how breath molecules are related to diseases, mechanisms and pathways identified from experimental analytical measurements is challenging due to the lack of an organized resource describing breath molecules, related references and biomedical information embedded in the literature. To provide breath VOCs, related references and biomedical information, we aim to organize a database composed of manually curated information and automatically extracted biomedical information. First, VOCs-related disease information was manually organized from 207 literature linked to 99 VOCs and known Medical Subject Headings (MeSH) terms. Then an automated text mining algorithm was used to extract biomedical information from this literature. In the end, the manually curated information and auto-extracted biomedical information was combined to form a breath molecule database—the Human Breathomics Database (HBDB). We first manually curated and organized disease information including MeSH term from 207 literatures associated with 99 VOCs. Then, an automatic pipeline of text mining approach was used to collect 2766 literatures and extract biomedical information from breath researches. We combined curated information with automatically extracted biomedical information to assemble a breath molecule database, the HBDB. The HBDB is a database that includes references, VOCs and diseases associated with human breathomics. Most of these VOCs were detected in human breath samples or exhaled breath condensate samples. So far, the database contains a total of 913 VOCs in relation to human exhaled breath researches reported in 2766 publications. The HBDB is the most comprehensive HBDB of VOCs in human exhaled breath to date. It is a useful and organized resource for researchers and clinicians to identify and further investigate potential biomarkers from the breath of patients. Database URL: https://hbdb.cmdm.tw
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Affiliation(s)
- Tien-Chueh Kuo
- Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan.,The Metabolomics Core Laboratory, Centers of Genomic Medicine and Precision Medicine, National Taiwan University, No. 2, Syu-Jhou Road, Taipei 10055, Taiwan.,Drug Research Center, College of Pharmacy, College of Medicine, National Taiwan University, No. 33, Linsen S. Road, Taipei 10055, Taiwan
| | - Cheng-En Tan
- The Metabolomics Core Laboratory, Centers of Genomic Medicine and Precision Medicine, National Taiwan University, No. 2, Syu-Jhou Road, Taipei 10055, Taiwan.,Drug Research Center, College of Pharmacy, College of Medicine, National Taiwan University, No. 33, Linsen S. Road, Taipei 10055, Taiwan.,Department of Computer Science and Information Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan
| | - San-Yuan Wang
- The Metabolomics Core Laboratory, Centers of Genomic Medicine and Precision Medicine, National Taiwan University, No. 2, Syu-Jhou Road, Taipei 10055, Taiwan.,Department of Computer Science and Information Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan.,Master Program in Clinical Pharmacogenomics and Pharmacoproteomics, College of Pharmacy, Taipei Medical University, No. 250, Wu-Hsing St., Taipei 11031, Taiwan
| | - Olivia A Lin
- Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan
| | - Bo-Han Su
- Department of Computer Science and Information Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan
| | - Ming-Tsung Hsu
- Genome and Systems Biology Degree Program, National Taiwan University and Academia Sinica, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan
| | - Jessica Lin
- Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan
| | - Yu-Yen Cheng
- Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan.,The Metabolomics Core Laboratory, Centers of Genomic Medicine and Precision Medicine, National Taiwan University, No. 2, Syu-Jhou Road, Taipei 10055, Taiwan
| | - Ciao-Sin Chen
- Department of Pharmacy, School of Pharmacy, College of Medicine, National Taiwan University, No. 33, Linsen S. Road, Taipei 10055, Taiwan
| | - Yu-Chieh Yang
- Department of Obstetrics and Gynecology, National Taiwan University Hospital-Yunlin Branch, No. 579, Sec. 2, Yunlin Road, Douliu, Yunlin County 640, Taiwan
| | - Kuo-Hsing Chen
- Department of Oncology, National Taiwan University Hospital, National Taiwan University Cancer Center, No. 1, Sec. 4, Roosevelt Road, Taipei 10048, Taiwan
| | - Shu-Wen Lin
- Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, No. 33, Linsen S. Road, Taipei 10055, Taiwan
| | - Chao-Chi Ho
- Department of Internal Medicine, National Taiwan University Hospital, No. 7, Chung-Shan South Road, Taipei 10002, Taiwan
| | - Ching-Hua Kuo
- The Metabolomics Core Laboratory, Centers of Genomic Medicine and Precision Medicine, National Taiwan University, No. 2, Syu-Jhou Road, Taipei 10055, Taiwan.,Drug Research Center, College of Pharmacy, College of Medicine, National Taiwan University, No. 33, Linsen S. Road, Taipei 10055, Taiwan.,Department of Pharmacy, School of Pharmacy, College of Medicine, National Taiwan University, No. 33, Linsen S. Road, Taipei 10055, Taiwan
| | - Yufeng Jane Tseng
- Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan.,The Metabolomics Core Laboratory, Centers of Genomic Medicine and Precision Medicine, National Taiwan University, No. 2, Syu-Jhou Road, Taipei 10055, Taiwan.,Drug Research Center, College of Pharmacy, College of Medicine, National Taiwan University, No. 33, Linsen S. Road, Taipei 10055, Taiwan.,Department of Computer Science and Information Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan
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Kochevalina MY, Trunov VG, Morozova OV, Kogun GA, Rodionova EI. Change in Urine Odor of Mice in the Dynamics of Formation of a Transplanted Hepatocarcinoma H33 Tumor. BIOL BULL+ 2020. [DOI: 10.1134/s1062359020050052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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35
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Nol P, Ionescu R, Geremariam Welearegay T, Barasona JA, Vicente J, de Jesus Beleño-Sáenz K, Barrenetxea I, Jose Torres M, Ionescu F, Rhyan J. Evaluation of Volatile Organic Compounds Obtained from Breath and Feces to Detect Mycobacterium tuberculosis Complex in Wild Boar ( Sus scrofa) in Doñana National Park, Spain. Pathogens 2020; 9:pathogens9050346. [PMID: 32370281 PMCID: PMC7281121 DOI: 10.3390/pathogens9050346] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 04/20/2020] [Accepted: 04/26/2020] [Indexed: 12/03/2022] Open
Abstract
The presence of Mycobacterium tuberculosis complex (MTBC) in wild swine, such as in wild boar (Sus scrofa) in Eurasia, is cause for serious concern. Development of accurate, efficient, and noninvasive methods to detect MTBC in wild swine would be highly beneficial to surveillance and disease management efforts in affected populations. Here, we describe the first report of identification of volatile organic compounds (VOC) obtained from the breath and feces of wild boar to distinguish between MTBC-positive and MTBC-negative boar. We analyzed breath and fecal VOC collected from 15 MTBC-positive and 18 MTBC-negative wild boar in Donaña National Park in Southeast Spain. Analyses were divided into three age classes, namely, adults (>2 years), sub-adults (12–24 months), and juveniles (<12 months). We identified significant compounds by applying the two-tailed statistical t-test for two samples assuming unequal variance, with an α value of 0.05. One statistically significant VOC was identified in breath samples from adult wild boar and 14 were identified in breath samples from juvenile wild boar. One statistically significant VOC was identified in fecal samples collected from sub-adult wild boar and three were identified in fecal samples from juvenile wild boar. In addition, discriminant function analysis (DFA) was used to build classification models for MTBC prediction in juvenile animals. Using DFA, we were able to distinguish between MTBC-positive juvenile wild boar and MTBC-negative juvenile wild boar using breath VOC or fecal VOC. Based on our results, further research is warranted and should be performed using larger sample sizes, as well as wild boar from various geographic locations, to verify these compounds as biomarkers for MTBC infection in this species. This new approach to detect MTBC infection in free-ranging wild boar potentially comprises a reliable and efficient screening tool for surveillance in animal populations.
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Affiliation(s)
- Pauline Nol
- Centers for Epidemiology and Animal Health, Veterinary Services, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, CO 80526, USA
- Correspondence: ; Tel.: +1-970-218-1418
| | - Radu Ionescu
- Department of Electronics, Electrical and Automatic Engineering, Rovira i Virgili University, 43007 Tarragona, Spain; (R.I.); (I.B.); (F.I.)
- The Ångström Laboratory, Division of Solid State Physics, Department of Materials Science and Engineering Sciences, Uppsala University, 75121 Uppsala, Sweden;
| | - Tesfalem Geremariam Welearegay
- The Ångström Laboratory, Division of Solid State Physics, Department of Materials Science and Engineering Sciences, Uppsala University, 75121 Uppsala, Sweden;
| | - Jose Angel Barasona
- VISAVET Health Surveillance Centre, Animal Health Department, Faculty of Veterinary Medicine, Complutense University of Madrid, 28040 Madrid, Spain;
| | - Joaquin Vicente
- SaBio Instituto de Investigación en Recursos Cinegéticos IREC, ETSIA Ciudad Real, University Castilla La Mancha & CSIC, 13003 Ciudad Real, Spain;
| | - Kelvin de Jesus Beleño-Sáenz
- Faculty of Engineering, Universidad Autónoma del Caribe, Barranquilla 080020, Colombia;
- Department of Chemical Engineering, Complutense University of Madrid, 28040 Madrid, Spain
| | - Irati Barrenetxea
- Department of Electronics, Electrical and Automatic Engineering, Rovira i Virgili University, 43007 Tarragona, Spain; (R.I.); (I.B.); (F.I.)
| | - Maria Jose Torres
- Biomedical Institute of Sevilla (IBiS), University of Seville, University Hospital Virgen del Rocío/CSIC, 41071 Seville, Spain;
| | - Florina Ionescu
- Department of Electronics, Electrical and Automatic Engineering, Rovira i Virgili University, 43007 Tarragona, Spain; (R.I.); (I.B.); (F.I.)
| | - Jack Rhyan
- National Veterinary Services Laboratory, Veterinary Services, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, Colorado, Fort Collins, CO 80521 USA;
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Elmassry MM, Piechulla B. Volatilomes of Bacterial Infections in Humans. Front Neurosci 2020; 14:257. [PMID: 32269511 PMCID: PMC7111428 DOI: 10.3389/fnins.2020.00257] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Accepted: 03/09/2020] [Indexed: 02/06/2023] Open
Abstract
Sense of smell in humans has the capacity to detect certain volatiles from bacterial infections. Our olfactory senses were used in ancient medicine to diagnose diseases in patients. As humans are considered holobionts, each person's unique odor consists of volatile organic compounds (VOCs, volatilome) produced not only by the humans themselves but also by their beneficial and pathogenic micro-habitants. In the past decade it has been well documented that microorganisms (fungi and bacteria) are able to emit a broad range of olfactory active VOCs [summarized in the mVOC database (http://bioinformatics.charite.de/mvoc/)]. During microbial infection, the equilibrium between the human and its microbiome is altered, followed by a change in the volatilome. For several decades, physicians have been trying to utilize these changes in smell composition to develop fast and efficient diagnostic tools, particularly because volatiles detection is non-invasive and non-destructive, which would be a breakthrough in many therapies. Within this review, we discuss bacterial infections including gastrointestinal, respiratory or lung, and blood infections, focusing on the pathogens and their known corresponding volatile biomarkers. Furthermore, we cover the potential role of the human microbiota and their volatilome in certain diseases such as neurodegenerative diseases. We also report on discrete mVOCs that affect humans.
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Affiliation(s)
- Moamen M. Elmassry
- Department of Biological Sciences, Texas Tech University, Lubbock, TX, United States
| | - Birgit Piechulla
- Institute for Biological Sciences, University of Rostock, Rostock, Germany
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Larsen MH, Lacourciere K, Parker TM, Kraigsley A, Achkar JM, Adams LB, Dupnik KM, Hall-Stoodley L, Hartman T, Kanipe C, Kurtz SL, Miller MA, Salvador LCM, Spencer JS, Robinson RT. The Many Hosts of Mycobacteria 8 (MHM8): A conference report. Tuberculosis (Edinb) 2020; 121:101914. [PMID: 32279870 PMCID: PMC7428850 DOI: 10.1016/j.tube.2020.101914] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Revised: 02/07/2020] [Accepted: 02/09/2020] [Indexed: 12/18/2022]
Abstract
Mycobacteria are important causes of disease in human and animal hosts. Diseases caused by mycobacteria include leprosy, tuberculosis (TB), nontuberculous mycobacteria (NTM) infections and Buruli Ulcer. To better understand and treat mycobacterial disease, clinicians, veterinarians and scientists use a range of discipline-specific approaches to conduct basic and applied research, including conducting epidemiological surveys, patient studies, wildlife sampling, animal models, genetic studies and computational simulations. To foster the exchange of knowledge and collaboration across disciplines, the Many Hosts of Mycobacteria (MHM) conference series brings together clinical, veterinary and basic scientists who are dedicated to advancing mycobacterial disease research. Started in 2007, the MHM series recently held its 8th conference at the Albert Einstein College of Medicine (Bronx, NY). Here, we review the diseases discussed at MHM8 and summarize the presentations on research advances in leprosy, NTM and Buruli Ulcer, human and animal TB, mycobacterial disease comorbidities, mycobacterial genetics and 'omics, and animal models. A mouse models workshop, which was held immediately after MHM8, is also summarized. In addition to being a resource for those who were unable to attend MHM8, we anticipate this review will provide a benchmark to gauge the progress of future research concerning mycobacteria and their many hosts.
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Affiliation(s)
- Michelle H Larsen
- Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Karen Lacourciere
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD 20892, USA
| | - Tina M Parker
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD 20892, USA
| | - Alison Kraigsley
- Center for Infectious Disease Research and Policy, University of Minnesota, Minneapolis, MN, USA
| | - Jacqueline M Achkar
- Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY, USA; Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Linda B Adams
- Department of Health and Human Services, Health Resources and Services Administration, Healthcare Systems Bureau, National Hansen's Disease Programs, Baton Rouge, LA, USA
| | - Kathryn M Dupnik
- Center for Global Health, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Luanne Hall-Stoodley
- Department of Microbial Infection and Immunity, The Ohio State University, Columbus, OH, USA
| | - Travis Hartman
- Center for Global Health, Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Carly Kanipe
- Department of Immunobiology, Iowa State University, Ames, IA, USA; Oak Ridge Institute for Science and Education, Oak Ridge, TN, USA; Bacterial Diseases of Livestock Research Unit, National Animal Disease Center, Agricultural Research Service, United States Department of Agriculture, Ames, IA, USA
| | - Sherry L Kurtz
- Laboratory of Mucosal Pathogens and Cellular Immunology, Division of Bacterial, Parasitic and Allergenic Products, Center for Biologics Evaluation and Research, Food and Drug Administration, Washington, DC, USA
| | - Michele A Miller
- DST-NRF Centre of Excellence for Biomedical Tuberculosis Research, South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Liliana C M Salvador
- Department of Infectious Diseases, University of Georgia, Athens, GA, USA; Institute of Bioinformatics, University of Georgia, Athens, GA, USA; Center for the Ecology of Infectious Diseases, University of Georgia, Athens, GA, USA
| | - John S Spencer
- Department of Microbiology, Immunology, and Pathology, Mycobacteria Research Laboratories, Colorado State University, Fort Collins, CO, USA
| | - Richard T Robinson
- Department of Microbial Infection and Immunity, The Ohio State University, Columbus, OH, USA.
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38
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Yagubov AI, Naseri S, Agayeva ZR, Imanova NA, Haciyeva Kİ, Gasanova NH. Study of Quantitative Structure Equilibrating Interaction of Retention Indices of Monomethylalkanes in Fossil Fuels by Multiple Linear Regression and Vector. THEORETICAL FOUNDATIONS OF CHEMICAL ENGINEERING 2019. [DOI: 10.1134/s0040579519060150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Souza RT, McKenzie EJ, Jones B, de Seymour JV, Thomas MM, Zarate E, Han TL, McCowan L, Sulek K, Villas-Boas S, Kenny LC, Cecatti JG, Baker PN. Trace biomarkers associated with spontaneous preterm birth from the maternal serum metabolome of asymptomatic nulliparous women - parallel case-control studies from the SCOPE cohort. Sci Rep 2019; 9:13701. [PMID: 31548567 PMCID: PMC6757051 DOI: 10.1038/s41598-019-50252-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Accepted: 09/09/2019] [Indexed: 02/07/2023] Open
Abstract
Prediction of spontaneous preterm birth (sPTB) in asymptomatic women remains a great challenge; accurate and reproducible screening tools are still not available in clinical practice. We aimed to investigate whether the maternal serum metabolome together with clinical factors could be used to identify asymptomatic women at risk of sPTB. We conducted two case-control studies using gas chromatography-mass spectrometry to analyse maternal serum samples collected at 15- and 20-weeks' gestation from 164 nulliparous women from Cork, and 157 from Auckland. Smoking and vaginal bleeding before 15 weeks were the only significant clinical predictors of sPTB for Auckland and Cork subsets, respectively. Decane, undecane, and dodecane were significantly associated with sPTB (FDR < 0.05) in the Cork subset. An odds ratio of 1.9 was associated with a one standard deviation increase in log (undecane) in a multiple logistic regression which also included vaginal bleeding as a predictor. In summary, elevated serum levels of the alkanes decane, undecane, and dodecane were associated with sPTB in asymptomatic nulliparous women from Cork, but not in the Auckland cohort. The association is not strong enough to be a useful clinical predictor, but suggests that further investigation of the association between oxidative stress processes and sPTB risk is warranted.
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Affiliation(s)
- Renato T Souza
- Department of Obstetrics and Gynecology, University of Campinas, Campinas, Brazil.
| | | | | | | | | | - Erica Zarate
- The University of Auckland, Auckland, New Zealand
| | - Ting Li Han
- The University of Auckland, Auckland, New Zealand
| | | | | | | | - Louise C Kenny
- The Department of Women's and Children's Health, Institute of Translational Medicine, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK
| | - José G Cecatti
- Department of Obstetrics and Gynecology, University of Campinas, Campinas, Brazil
| | - Philip N Baker
- The University of Auckland, Auckland, New Zealand
- College of Life Sciences, University of Leicester, Leicester, United Kingdom
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Lee JE, Lim HH, Shin HS. Simultaneous determination of 15 BTEX hydroxyl biomarkers in urine by headspace solid-phase microextraction gas chromatography–mass spectrometry. J Pharm Biomed Anal 2019; 174:115-122. [DOI: 10.1016/j.jpba.2019.05.033] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 04/19/2019] [Accepted: 05/18/2019] [Indexed: 01/23/2023]
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Maurer DL, Ellis CK, Thacker TC, Rice S, Koziel JA, Nol P, VerCauteren KC. Screening of Microbial Volatile Organic Compounds for Detection of Disease in Cattle: Development of Lab-scale Method. Sci Rep 2019; 9:12103. [PMID: 31431630 PMCID: PMC6702204 DOI: 10.1038/s41598-019-47907-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2016] [Accepted: 07/26/2019] [Indexed: 12/22/2022] Open
Abstract
The primary hurdle for diagnosis of some diseases is the long incubation required to culture and confirm the presence of bacteria. The concept of using microbial VOCs as "signature markers" could provide a faster and noninvasive diagnosis. Finding biomarkers is challenging due to the specificity required in complex matrices. The objectives of this study were to (1) build/test a lab-scale platform for screening of microbial VOCs and (2) apply it to Mycobacterium avium paratuberculosis; the vaccine strain of M. bovis Bacillus Calmette-Guérin; and M. kansasii to demonstrate detection times greater those typically required for culture. SPME-GC-MS was used for sampling, sample preparation, and analyses. For objective (1), a testing platform was built for headspace sampling of bacterial cultures grown in standard culture flasks via a biosecure closed-loop circulating airflow system. For (2), results show that the suites of VOCs produced by Mycobacteria ssp. change over time and that individual strains produce different VOCs. The developed method was successful in discriminating between strains using a pooled multi-group analysis, and in timepoint-specific multi- and pair-wise comparisons. The developed testing platform can be useful for minimally invasive and biosecure collection of biomarkers associated with human, wildlife and livestock diseases for development of diagnostic point-of-care and field surveillance.
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Affiliation(s)
- Devin L Maurer
- Iowa State University, Dept. of Agricultural & Biosystems Engineering, Ames, IA, 50011, USA
| | - Christine K Ellis
- USDA-APHIS-WS-National Wildlife Research Center, Fort Collins, CO, 80521, USA
| | - Tyler C Thacker
- USDA-ARS, National Animal Disease Center, Mycobacterial Diseases, Ames, IA, 50010, USA
| | - Somchai Rice
- Iowa State University, Dept. of Agricultural & Biosystems Engineering, Ames, IA, 50011, USA
| | - Jacek A Koziel
- Iowa State University, Dept. of Agricultural & Biosystems Engineering, Ames, IA, 50011, USA.
| | - Pauline Nol
- USDA-APHIS-WS-Wildlife Livestock Disease Investigations Team, Fort Collins, CO, 80521, USA
| | - Kurt C VerCauteren
- USDA-APHIS-WS-National Wildlife Research Center, Fort Collins, CO, 80521, USA
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Saktiawati AMI, Putera DD, Setyawan A, Mahendradhata Y, van der Werf TS. Diagnosis of tuberculosis through breath test: A systematic review. EBioMedicine 2019; 46:202-214. [PMID: 31401197 PMCID: PMC6712009 DOI: 10.1016/j.ebiom.2019.07.056] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Revised: 07/20/2019] [Accepted: 07/22/2019] [Indexed: 12/28/2022] Open
Abstract
Background Breath tests may diagnose tuberculosis (TB) through detecting specific volatile organic compounds produced by Mycobacterium tuberculosis or the infected host. Methods To estimate the diagnostic accuracy of breath test with electronic-nose and other devices against culture or other tests for TB, we screened multiple databases until January 6, 2019. Findings We included fourteen studies, with 1715 subjects in the analysis. The pooled sensitivity and specificity of electronic-nose were 0.93 (95% CI 0.82–0.97) and 0.93 (95% CI 0.82–0.97), respectively, and no heterogeneity was found. The sensitivity and specificity of other breath test devices ranged from 0.62 to 1.00, and 0.11 to 0.84, respectively. Interpretation The low to moderate evidence of these studies shows that breath tests can diagnose TB accurately, however, to give a real-time test result, additional development is needed. Research should also focus on sputum smear negative TB, children, and the positioning of breath testing in the diagnostic work flow. Funding The authors received no specific funding for this work.
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Affiliation(s)
- Antonia M I Saktiawati
- Department of Internal Medicine, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia; University of Groningen, University Medical Centre Groningen, Department of Pulmonary Diseases and Tuberculosis, Groningen, the Netherlands; Center for Tropical Medicine, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | | | - Althaf Setyawan
- Department of Biostatistics, Epidemiology, and Population Health, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Yodi Mahendradhata
- Center for Tropical Medicine, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia; Department of Health Policy and Management, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Tjip S van der Werf
- University of Groningen, University Medical Centre Groningen, Department of Pulmonary Diseases and Tuberculosis, Groningen, the Netherlands; University of Groningen, University Medical Center Groningen, Department of Internal Medicine-Infectious Diseases, Groningen, the Netherlands.
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Hashoul D, Haick H. Sensors for detecting pulmonary diseases from exhaled breath. Eur Respir Rev 2019; 28:28/152/190011. [PMID: 31243097 PMCID: PMC9489036 DOI: 10.1183/16000617.0011-2019] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Accepted: 05/13/2019] [Indexed: 01/09/2023] Open
Abstract
This review presents and discusses a new frontier for fast, risk-free and potentially inexpensive diagnostics of respiratory diseases by detecting volatile organic compounds (VOCs) present in exhaled breath. One part of the review is a didactic presentation of the overlaying concept and the chemistry of exhaled breath. The other part discusses diverse sensors that have been developed and used for the detection of respiratory diseases (e.g. chronic obstructive pulmonary disease, asthma, lung cancer, pulmonary arterial hypertension, tuberculosis, cystic fibrosis, obstructive sleep apnoea syndrome and pneumoconiosis) by analysis of VOCs in exhaled breath. The strengths and pitfalls are discussed and criticised, particularly in the perspective in disseminating information regarding these advances. Ideas regarding the improvement of sensors, sensor arrays, sensing devices and the further planning of workflow are also discussed. Detection of volatile organic compounds from exhaled breath by nanomaterial-based sensors is a new diagnostics frontier in the screening of pulmonary diseases.http://bit.ly/2JoBKXn
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Affiliation(s)
- Dina Hashoul
- Dept of Chemical Engineering, Russell Berrie Nanotechnology Institute, and the Technion Integrated Cancer Center, Haifa, Israel
| | - Hossam Haick
- Dept of Chemical Engineering, Russell Berrie Nanotechnology Institute, and the Technion Integrated Cancer Center, Haifa, Israel
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Saktiawati AMI, Stienstra Y, Subronto YW, Rintiswati N, Sumardi, Gerritsen JW, Oord H, Akkerman OW, van der Werf TS. Sensitivity and specificity of an electronic nose in diagnosing pulmonary tuberculosis among patients with suspected tuberculosis. PLoS One 2019; 14:e0217963. [PMID: 31194793 PMCID: PMC6563983 DOI: 10.1371/journal.pone.0217963] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2019] [Accepted: 05/22/2019] [Indexed: 02/07/2023] Open
Abstract
OBJECTIVE To investigate the potency of a hand-held point-of-care electronic-nose to diagnose pulmonary tuberculosis (PTB) among those suspected of PTB. METHODS Setting: Lung clinics and Dr. Sardjito Hospital, Yogyakarta, Indonesia. Participants: patients with suspected PTB and healthy controls. Sampling: 5 minutes exhaled breath. Sputum-smear-microscopy, culture, chest-radiography, and follow-up for 1.5-2.5 years, were used to classify patients with suspected PTB as active PTB, probably active PTB, probably no PTB, and no PTB. After building a breath model based on active PTB, no PTB, and healthy controls (Calibration phase), we validated the model in all patients with suspected PTB (Validation phase). In each variable (sex, age, Body Mass Index, co-morbidities, smoking status, consumption of alcohol, use of antibiotics, flu symptoms, stress, food and drink intake), one stratum's Receiver Operating Characteristic (ROC)-curve indicating sensitivity and specificity of the breath test was compared with another stratum's ROC-curve. Differences between Area-under-the-Curve between strata (p<0.05) indicated an association between the variable and sensitivity-specificity of the breath test. Statistical analysis was performed using STATA/SE 15. RESULTS Of 400 enrolled participants, 73 were excluded due to extra-pulmonary TB, incomplete data, previous TB, and cancer. Calibration phase involved 182 subjects, and the result was validated in 287 subjects. Sensitivity was 85% (95%CI: 75-92%) and 78% (95%CI: 70-85%), specificity was 55% (95%CI: 44-65%) and 42% (95%CI: 34-50%), in calibration and validation phases, respectively. Test sensitivity and specificity were lower in men. CONCLUSION The electronic-nose showed modest sensitivity and low specificity among patients with suspected PTB. To improve the sensitivity, a larger calibration group needs to be involved. With its portable form, it could be used for TB screening in remote rural areas and health care settings.
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Affiliation(s)
- Antonia M. I. Saktiawati
- Department of Internal Medicine, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia
- University of Groningen, University Medical Center Groningen, Department of Pulmonary Diseases and Tuberculosis, Groningen, the Netherlands
- Center for Tropical Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Ymkje Stienstra
- University of Groningen, University Medical Center Groningen, Department of Internal Medicine—Infectious Diseases, Groningen, the Netherlands
| | - Yanri W. Subronto
- Department of Internal Medicine, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia
- Center for Tropical Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Ning Rintiswati
- Center for Tropical Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia
- Department of Microbiology, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | - Sumardi
- Department of Internal Medicine, Faculty of Medicine, Public Health and Nursing, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | | | - Henny Oord
- eNose B.V. (The eNose Company), Zutphen, The Netherlands
| | - Onno W. Akkerman
- University of Groningen, University Medical Center Groningen, Department of Pulmonary Diseases and Tuberculosis, Groningen, the Netherlands
- University of Groningen, University Medical Center Groningen, Tuberculosis Center Beatrixoord, Haren, the Netherlands
| | - Tjip S. van der Werf
- University of Groningen, University Medical Center Groningen, Department of Pulmonary Diseases and Tuberculosis, Groningen, the Netherlands
- University of Groningen, University Medical Center Groningen, Department of Internal Medicine—Infectious Diseases, Groningen, the Netherlands
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du Preez I, Luies L, Loots DT. The application of metabolomics toward pulmonary tuberculosis research. Tuberculosis (Edinb) 2019; 115:126-139. [PMID: 30948167 DOI: 10.1016/j.tube.2019.03.003] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Revised: 02/27/2019] [Accepted: 03/08/2019] [Indexed: 02/07/2023]
Abstract
In the quest to identify novel biomarkers for pulmonary tuberculosis (TB), high-throughput systems biology approaches such as metabolomics has become increasingly widespread. Such biomarkers have not only successfully been used for better disease characterization, but have also provided new insights toward the future development of improved diagnostic and therapeutic approaches. In this review, we give a summary of the metabolomics studies done to date, with a specific focus on those investigating various aspects of pulmonary TB, and the infectious agent responsible, Mycobacterium tuberculosis. These studies, done on a variety of sample matrices, including bacteriological culture, sputum, blood, urine, tissue, and breath, are discussed in terms of their intended research outcomes or future clinical applications. Additionally, a summary of the research model, sample cohort, analytical apparatus and statistical methods used for biomarker identification in each of these studies, is provided.
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Affiliation(s)
- Ilse du Preez
- Human Metabolomics, North-West University, Private Bag X6001, Box 269, Potchefstroom, 2531, South Africa.
| | - Laneke Luies
- Human Metabolomics, North-West University, Private Bag X6001, Box 269, Potchefstroom, 2531, South Africa.
| | - Du Toit Loots
- Human Metabolomics, North-West University, Private Bag X6001, Box 269, Potchefstroom, 2531, South Africa.
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46
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Identification of bovine tuberculosis biomarkers to detect tuberculin skin test and IFNγ release assay false negative cattle. Res Vet Sci 2019; 122:7-14. [DOI: 10.1016/j.rvsc.2018.10.016] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Revised: 10/04/2018] [Accepted: 10/29/2018] [Indexed: 12/18/2022]
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Safdel F, Safa F. Atom-Type-Based AI Topological Indices for Artificial Neural Network Modeling of Retention Indices of Monomethylalkanes. J Chromatogr Sci 2019; 57:1-8. [PMID: 30169788 DOI: 10.1093/chromsci/bmy081] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2017] [Indexed: 11/14/2022]
Abstract
In this work, a combination of Xu and atom-type-based AI topological indices (TIs) were employed for quantitative structure-retention relationship (QSRR) study of monomethylalkanes (MMAs). A total of 196 temperature-programmed gas chromatographic retention indices corresponding to all C4-C30 MMAs on OV-1 stationary phase have been used in QSRR modeling. Results of the study showed that an artificial neural network (ANN) with 4-9-1 topology and Levenberg-Marquardt training algorithm can predict the retention indices with high degree of accuracy. The statistics of root-mean-square error for the training, validation and test sets were 0.200, 0.316 and 0.215, respectively. The proposed model resulted in a maximum relative error of 0.24% suggesting the TIs as excellent alternative for estimating retention indices of MMAs. According to the obtained results, relative importance of the TIs decreased in the order of AI(-CH3)> AI(-CH2-)> AI(>CH-)> Xu showing significant role of molecular branching, steric factor and molecular size as effective structural features on retention indices of MMAs.
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Affiliation(s)
- Farah Safdel
- Department of Chemistry, Rasht Branch, Islamic Azad University, Rasht, I.R. Iran
| | - Fariba Safa
- Department of Chemistry, Rasht Branch, Islamic Azad University, Rasht, I.R. Iran
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Park CH, Schroeder V, Kim BJ, Swager TM. Ionic Liquid-Carbon Nanotube Sensor Arrays for Human Breath Related Volatile Organic Compounds. ACS Sens 2018; 3:2432-2437. [PMID: 30379539 DOI: 10.1021/acssensors.8b00987] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
High sensitivity, selectivity, and stability are key requirements for carbon nanotube (CNT)-based sensors to realize their full potential in applications ranging from chemical warfare agent detection to disease diagnostics. Herein we demonstrate the sensing of volatile organic compounds (VOCs) relevant to human diseases using an array of chemiresistive carbon nanotube (CNT)-based sensors functionalized with ionic liquids (ILs). The ILs are fluid at ambient temperature and were selected to produce a discriminating sensor array capable of the gas-phase detection of human disease-related VOCs. We find that sensor arrays consisting of imidazolium-based ILs with different substituents and counterions provide selective responses for known biomarkers of infectious diseases of the lungs. Specifically, the sensors discriminate the various volatile biomarkers for tuberculosis based on their polarity, solubility, and chemical affinities. In addition to selectivity, the sensors also show a high level of reversibility and promising long-term stability, which renders them to be suitable candidates for practical applications in breath analysis.
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Affiliation(s)
- Chan Ho Park
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
- Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141 Republic of Korea
| | - Vera Schroeder
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Bumjoon J. Kim
- Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141 Republic of Korea
| | - Timothy M. Swager
- Department of Chemistry, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
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Beccaria M, Bobak C, Maitshotlo B, Mellors TR, Purcaro G, Franchina FA, Rees CA, Nasir M, Black A, Hill JE. Exhaled human breath analysis in active pulmonary tuberculosis diagnostics by comprehensive gas chromatography-mass spectrometry and chemometric techniques. J Breath Res 2018; 13:016005. [PMID: 30394364 DOI: 10.1088/1752-7163/aae80e] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Tuberculosis (TB) is the deadliest infectious disease, and yet accurate diagnostics for the disease are unavailable for many subpopulations. In this study, we investigate the possibility of using human breath for the diagnosis of active TB among TB suspect patients, considering also several risk factors for TB for smokers and those with human immunodeficiency virus (HIV). The analysis of exhaled breath, as an alternative to sputum-dependent tests, has the potential to provide a simple, fast, non-invasive, and readily available diagnostic service that could positively change TB detection. A total of 50 individuals from a clinic in South Africa were included in this pilot study. Human breath has been investigated in the setting of active TB using the thermal desorption-comprehensive two-dimensional gas chromatography-time of flight mass spectrometry methodology and chemometric techniques. From the entire spectrum of volatile metabolites in breath, three machine learning algorithms (support vector machines, partial least squares discriminant analysis, and random forest) to select discriminatory volatile molecules that could potentially be useful for active TB diagnosis were employed. Random forest showed the best overall performance, with sensitivities of 0.82 and 1.00 and specificities of 0.92 and 0.60 in the training and test data respectively. Unsupervised analysis of the compounds implicated by these algorithms suggests that they provide important information to cluster active TB from other patients. These results suggest that developing a non-invasive diagnostic for active TB using patient breath is a potentially rich avenue of research, including among patients with HIV comorbidities.
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Affiliation(s)
- Marco Beccaria
- Thayer School of Engineering, Dartmouth College, Hanover, NH, 03755, United States of America. KU Leuven-University of Leuven, Department for Pharmaceutical and Pharmacological Sciences, Leuven, B-3000, Belgium
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Mellors TR, Nasir M, Franchina FA, Smolinska A, Blanchet L, Flynn JL, Tomko J, O’Malley M, Scanga CA, Lin PL, Wagner J, Hill JE. Identification of Mycobacterium tuberculosis using volatile biomarkers in culture and exhaled breath. J Breath Res 2018; 13:016004. [DOI: 10.1088/1752-7163/aacd18] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
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