Quantitative analysis of exhaled carbonyl compounds distinguishes benign from malignant pulmonary disease

Bousamra, Michael; Schumer, Erin M.; Li, Mingxiao; Knipp, Ralph J.; Nantz, Michael H.; Berkel, Victor van; Fu, Xiao An

doi:10.1016/j.jtcvs.2014.06.006

Cited by 53 publications

(44 citation statements)

References 32 publications

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“…Additional advantages of the current study include benchmarking of the simpler models with established statistical / machine-learning methods and optimization of cut-points for both individual VOCs and the number of elevated VOCs for determining whether a patient has lung cancer. It should also be noted that the carbonyl VOCs were equally effective in separating lung cancer cases from both smoking and non-smoking controls, in agreement with what we previously observed [24][25]. A limitation of the current work is that we selected the six VOCs for our simple model based on the best performing classifiers in the test data.…”

Section: Discussionsupporting

confidence: 81%

“…Our previous work identified four lung cancer markers C 4 H 8 O, 4-HHE, C 4 H 8 O 2 , and C 2 H 4 O 2 [24] and a diagnostic method based on counting the number of elevated these four markers was developed [25]. In this study, two additional markers 4-HNE and C 5 H 10 O were identified by the statistical classification models.…”

Section: Discussionmentioning

confidence: 95%

“…We have developed a technique utilizing quaternary aminooxy-coated silicon microreactors for selective capture and quantification of these ketones and aldehydes in air [21][22][23] and exhaled breath [24][25]. In this present work, a variety of statistical classification models were used to analyze how the measured concentrations of carbonyl compounds can be used to determine which compounds and models best differentiate between the patient sub-populations.…”

Section: Introductionmentioning

confidence: 99%

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Breath carbonyl compounds as biomarkers of lung cancer

Yang

Brock

et al. 2015

Lung Cancer

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Section: Discussionsupporting

confidence: 81%

Section: Discussionmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

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Breath carbonyl compounds as biomarkers of lung cancer

Yang

Brock

et al. 2015

Lung Cancer

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“…The assignment can be based on the functional group and the combined 1 H and 15 N chemical shifts [33,34]. Other CS probes have been developed by us that select for functional groups including thiols [35] and carbonyls (aldehydes and ketones) [36,37]. The resulting adducts in biological extracts are optimized for both MS analysis, and 15 N edited 1 H NMR analysis that makes use of long range 2 and 3-bond couplings [31].…”

Section: Nmr Is a Powerful Tool For Metabolite Identification And mentioning

confidence: 99%

Applications of NMR spectroscopy to systems biochemistry

Fan

Lane

2016

Progress in Nuclear Magnetic Resonance Spectroscopy

180

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The past decades of advancements in NMR have made it a very powerful tool for metabolic research. Despite its limitations in sensitivity relative to mass spectrometric techniques, NMR has a number of unparalleled advantages for metabolic studies, most notably the rigor and versatility in structure elucidation, isotope-filtered selection of molecules, and analysis of positional isotopomer distributions in complex mixtures afforded by multinuclear and multidimensional experiments. In addition, NMR has the capacity for spatially selective in vivo imaging and dynamical analysis of metabolism in tissues of living organisms. In conjunction with the use of stable isotope tracers, NMR is a method of choice for exploring the dynamics and compartmentation of metabolic pathways and networks, for which our current understanding is grossly insufficient. In this review, we describe how various direct and isotope-edited 1D and 2D NMR methods can be employed to profile metabolites and their isotopomer distributions by stable isotope-resolved metabolomic (SIRM) analysis. We also highlight the importance of sample preparation methods including rapid cryoquenching, efficient extraction, and chemoselective derivatization to facilitate robust and reproducible NMR-based metabolomic analysis. We further illustrate how NMR has been applied in vitro, ex vivo, or in vivo in various stable isotope tracer-based metabolic studies, to gain systematic and novel metabolic insights in different biological systems, including human subjects. The pathway and network knowledge generated from NMR- and MS-based tracing of isotopically enriched substrates will be invaluable for directing functional analysis of other ‘omics data to achieve understanding of regulation of biochemical systems, as demonstrated in a case study. Future developments in NMR technologies and reagents to enhance both detection sensitivity and resolution should further empower NMR in systems biochemical research.

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“…The stability of real breath VOCs adsorbed on sorbents (Tenax TA and carbograph) in tube samples has recently been studied. [132][133]135 The objective of this study is to investigate the stabilities of breath VOCs in Tedlar have been reported as lung cancer biomarkers in exhaled breath. 116-117, 134,136 In this work, a silicon microreactor approach was used to capture trace carbonyl compounds in exhaled…”

Section: Introductionmentioning

confidence: 99%

Characterization of microreactor and analysis of carbonyl compounds in exhaled breath.

Li¹

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McKenna at the University of Louisville for their knowledgeable experience in microfabrication and tremendous source of support. I am very grateful for the financial support from the Department of Chemical Engineering, the Shen's Scholarship from Speed School of Engineering and the dissertation completion award from the Graduate School at the University of Louisville. Finally, I would like to thank my parents for their encouragement and support, without which this dissertation and research would not have been possible.

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Quantitative analysis of exhaled carbonyl compounds distinguishes benign from malignant pulmonary disease

Abstract: Analysis of specific exhaled carbonyls can differentiate early lung cancer from benign pulmonary disease. Breath analysis was more specific than PET for a lung cancer diagnosis. Judicious use of these data may expedite the care of patients with lung cancer.

Cited by 53 publications

References 32 publications

Breath carbonyl compounds as biomarkers of lung cancer

Breath carbonyl compounds as biomarkers of lung cancer

Applications of NMR spectroscopy to systems biochemistry

Characterization of microreactor and analysis of carbonyl compounds in exhaled breath.

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