Human Breathomics Database

Kuo, Tsun-Cheng; Tan, Cheng En; Wang, San-Yuan; Lin, Olivia A.; Su, Bo; Hsu, Ming-Tsung; Lin, Jessica; Cheng, Yu; Chen, Ciao Sin; Yu, Yang; Chen, Kuo Hsing; Lin, Shu; Ho, Chao‐Chi; Kuo, Ching‐Hua; Tseng, Yufeng J.

doi:10.1093/database/baz139

Cited by 53 publications

(47 citation statements)

References 48 publications

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“…However, cases of oral lichen planus and lichenoid inflammatory reaction to epithelial changes also have been reported [43]. Rarely, anomalies of bone marrow may appear before the typical mucocutaneous presentations, with the marrow abnormalities manifesting at age 4-5 years, which is proposed to be the most severe phenotype of the disease [25,45,[47][48][49][50]. In our case, no marrow abnormalities have been reported suggesting that this case may represent an incomplete expression (forme fruste) phenotype of this condition that had been reported by Bryan & Nixon, 1965 [51].…”

Section: Discussionmentioning

confidence: 99%

Dyskeratosis Congenita: Squamous Cell Carcinoma of the Buccal Mucosa on a Background of Lichen Planus – A Case Report During COVID-19 Pandemic

Salah¹,

Emaetig²,

Mahjoubi³

et al. 2021

COR

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Dyskeratosis Congenita is a severe disorder that involves several systems in the human body and is well-known for its transmission hereditarily through generations. The triad of a) reticular atrophy of the skin with pigmentation b) dystrophy of the nails c) leukoplakia of the oral mucosa characterises this uncommon disorder, which most commonly affects men. One of the key reasons for premature death in this disease is malignant transformation within areas of mucosal hyperkeratosis. In Dyskeratosis Congenita, the simultaneous existence of squamous cell carcinoma (SCC) with lichen planus and or lichenoid reactions in the mucosa of the oral cavity is a rare, stated condition. This report discusses a case of a Libyan male patient affected by Dyskeratosis Congenita that ended with buccal mucosal squamous cell carcinoma developed on a lichen planus background after thirty years of suffering at the age of 64.

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Section: Discussionmentioning

confidence: 99%

Dyskeratosis Congenita: Squamous Cell Carcinoma of the Buccal Mucosa on a Background of Lichen Planus – A Case Report During COVID-19 Pandemic

Salah¹,

Emaetig²,

Mahjoubi³

et al. 2021

COR

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“…Furthermore, specific reporitories such as Human Breathomics Database can also be used for data/study deposition. [11] Multivariate data analysis…”

Section: Numerical and Informatics Methods In Metabolomics Researchmentioning

confidence: 99%

“…Breathomics research is accelerating especially by introduction of databases such as Human Breathomics Database (HBDB), [11] METLIN [105] and MassBank. [106] HBDB for example contains a total of 913 VOCs in relation to human exhaled breath researches reported in 2,766 publications.…”

Section: The Great Impact Of Databases On Breathomics Researchmentioning

confidence: 99%

“…Lourenço and Turner [10] reviewed methodological considerations for analysis of volatile organic compounds (VOCs) in breath samples. Kuo et al [11] introduced the human breathomics database (HBDB) by gathering available information on VOCs of healthy people and patients in a number of diseases. HBDB provides a useful resource for identifying potential biomarkers from breath of the patients in order to conduct complementary investigations.…”

Section: Introductionmentioning

confidence: 99%

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Breathomics: Review of Sample Collection and Analysis, Data Modeling and Clinical Applications

Khoubnasabjafari

Mogaddam

Rahimpour

et al. 2021

Critical Reviews in Analytical Chemistry

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Metabolomics research is rapidly gaining momentum in disease diagnosis, on top of other Omics technologies. Breathomics, as a branch of metabolomics is developing in various frontiers, for early and noninvasive monitoring of disease. This review starts with a brief introduction to metabolomics and breathomics. A number of important technical issues in exhaled breath collection and factors affecting the sampling procedures are presented. We review the recent progress in metabolomics approaches and a summary of their applications on the respiratory and non-respiratory diseases investigated by breath analysis. Recent reports on breathomics studies retrieved from Scopus and Pubmed were reviewed in this work. We conclude that analyzing breath metabolites (both volatile and nonvolatile) is valuable in disease diagnoses, and therefore believe that breathomics will turn into a promising noninvasive discipline in biomarker discovery and early disease detection in personalized medicine. The problem of wide variations in the reported metabolite concentrations from breathomics studies should be tackled by developing more accurate analytical methods and sophisticated numerical analytical alogorithms.

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“…When analyzing breath biomarkers, we will mine the human breathomics database (HBDB) [59] general-purpose human metabolome database (HMDB) [60], microbial volatiles [61] database, and the EPA’s chemistry dashboard [62]. To map metabolic pathways, we will use the Kyoto Encyclopedia of Genes and Genomes (KEGG) database [63] and WikiPathways [64].…”

Section: Study Administrationmentioning

confidence: 99%

Effects of diet, activities, environmental exposures and trimethylamine metabolism on alveolar breath compounds: protocol for a retrospective case-cohort observational study

Gabashvili¹

2021

Preprint

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BackgroundExhaled breath contains thousands of volatile organic compounds (VOCs) that reflect on biochemical and biophysical activities both outside and within the human body. Breath analysis could provide non-invasive, cost-effective, real time early disease diagnosis and monitoring of therapeutic responses.ObjectivesThe primary objective of this study was to assess the effectiveness of alveolar breath testing in diagnosing idiopathic systemic body and breath odors. Key secondary objectives were to assess if breath tests can reliably differentiate subtypes of idiopathic malodor in different environments and dietary regimens, and to map metabolites to biomedical functions and pathways.Study DesignThe basic design was to measure a cohort of idiopathic odor in order to identify potential molecular correlates with genotypic and phenotypic variables. Participants were subdivided in several different ways allowing for different cases and controls within the cohort, using prior and later test results and observations. Thus, this study was an observational retrospective case-cohort/nested case-control study.Setting/ParticipantsParticipants were recruited online via MEBO and TMAU support groups and on site, during the 3rd Annual MEBO Research conference held at Miami South Beach on June 23, 2012 and local meetups of support groups (Miami, Florida; New York, New York; Chicago, Illinois, US and Birmingham, England). Study population is individuals self-reporting systemic idiopathic malodor production. Inclusion criteria were good general health, desire and ability to travel to one of the participating sites and pay the lab fee. Exclusion Criteria were medical conditions that could prevent participation and age under 18.Study Interventions and MeasuresThe main study procedure was the application of a rapid point-of-care breath testing system to collect and concentrate alveolar breath VOCs on a sorbent trap, using breath collection apparatus (BCA) 5.0. Samples were sent to central laboratory and analyzed with gas chromatography and mass spectroscopy. In addition, the participants filled out food frequency questionnaires and were offered to use Aurametrix, online software tool based on a participant-initiated ecological momentary assessment approach, allowing to recall the events at any time later. The tool analyzed dietary intakes, activities and environmental exposures for both individual and aggregate level data.The primary endpoint was the composition of VOCs in breath samples, while diet and activity data, and results of alternative testing assessments were secondary endpoints. The main study outcome measure is the diagnostic accuracy of alveolar breath test in differentiating profiles of two main pre-defined sub-cohorts. Index of concordance with accuracy, sensitivity, specificity, positive predictive value and negative predictive value will be reported. A number of factors was assessed for confounding.

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Human Breathomics Database

Cited by 53 publications

References 48 publications

Dyskeratosis Congenita: Squamous Cell Carcinoma of the Buccal Mucosa on a Background of Lichen Planus – A Case Report During COVID-19 Pandemic

Dyskeratosis Congenita: Squamous Cell Carcinoma of the Buccal Mucosa on a Background of Lichen Planus – A Case Report During COVID-19 Pandemic

Breathomics: Review of Sample Collection and Analysis, Data Modeling and Clinical Applications

Effects of diet, activities, environmental exposures and trimethylamine metabolism on alveolar breath compounds: protocol for a retrospective case-cohort observational study

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