Gas chromatography/mass spectrometry in metabolic profiling of biological fluids

Pasikanti, Kishore Kumar; Ho, Paul C.; Chan, Eric Chun Yong

doi:10.1016/j.jchromb.2008.04.033

Cited by 266 publications

(203 citation statements)

References 113 publications

(159 reference statements)

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“…Thousands of VOMs in trace amounts are present in human breath [12][13][14][15][16] and different studies have shown that the VOMs profile in patients with lung cancer can be discriminated from those of healthy subjects [12,17,18]. Urine has been the preferred biological fluid since compounds are concentrated by the kidney before excretion [19].…”

Section: Introductionmentioning

confidence: 99%

Solid phase microextraction, mass spectrometry and metabolomic approaches for detection of potential urinary cancer biomarkers—A powerful strategy for breast cancer diagnosis

Silva

Passos

Câmara

2012

Talanta

148

119

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a b s t r a c tA sensitive assay to identify volatile organic metabolites (VOMs) as biomarkers that can accurately diagnose the onset of breast cancer using non-invasively collected clinical specimens is ideal for early detection. Therefore the aim of this study was to establish the urinary metabolomic profile of breast cancer patients and healthy individuals (control group) and to explore the VOMs as potential biomarkers in breast cancer diagnosis at early stage. Solid-phase microextraction (SPME) using CAR/PDMS sorbent combined with gas chromatography-mass spectrometry was applied to obtain metabolomic information patterns of 26 breast cancer patients and 21 healthy individuals (controls). A total of seventy-nine VOMs, belonging to distinct chemical classes, were detected and identified in control and breast cancer groups. Ketones and sulfur compounds were the chemical classes with highest contribution for both groups. Results showed that excretion values of 6 VOMs among the total of 79 detected were found to be statistically different (p < 0.05). A significant increase in the peak area of (−)-4-carene, 3-heptanone, 1,2,4-trimethylbenzene, 2-methoxythiophene and phenol, in VOMs of cancer patients relatively to controls was observed. Statiscally significant lower abundances of dimethyl disulfide were found in cancer patients. Bioanalytical data were submitted to multivariate statistics [principal component analysis (PCA)], in order to visualize clusters of cases and to detect the VOMs that are able to differentiate cancer patients from healthy individuals. Very good discrimination within breast cancer and control groups was achieved. Nevertheless, a deep study using a larger number of patients must be carried out to confirm the results.

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Section: Introductionmentioning

confidence: 99%

Solid phase microextraction, mass spectrometry and metabolomic approaches for detection of potential urinary cancer biomarkers—A powerful strategy for breast cancer diagnosis

Silva

Passos

Câmara

2012

Talanta

148

119

View full text Add to dashboard Cite

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“…NMR has the advantage of requiring little sample preparation, and of producing datasets that are more easily mined [2][3][4], but cost and sensitivity are two of its major limitations. Gas chromatography-mass spectrometry (GC-MS) and liquid chromatography-mass spectrometry (LC-MS) are two additional techniques commonly used in metabolomic workflows [1,[5][6][7][8][9]. Despite being extremely comprehensive, GC-MS and LC-MS suffer from low analysis throughput and memory effects of the chromatographic supports, particularly when investigating metabolites in biological matrices such as serum.…”

mentioning

confidence: 99%

Optimization of a direct analysis in real time/time-of-flight mass spectrometry method for rapid serum metabolomic fingerprinting

Zhou

McDonald

Fernández

2010

J. Am. Soc. Mass Spectrom.

123

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Metabolomic fingerprinting of bodily fluids can reveal the underlying causes of metabolic disorders associated with many diseases, and has thus been recognized as a potential tool for disease diagnosis and prognosis following therapy. Here we report a rapid approach in which direct analysis in real time (DART) coupled with time-of-flight (TOF) mass spectrometry (MS) and hybrid quadrupole TOF (Q-TOF) MS is used as a means for metabolomic fingerprinting of human serum. In this approach, serum samples are first treated to precipitate proteins, and the volatility of the remaining metabolites increased by derivatization, followed by DART MS analysis. Maximum DART MS performance was obtained by optimizing instrumental parameters such as ionizing gas temperature and flow rate for the analysis of identical aliquots of a healthy human serum samples. These variables were observed to have a significant effect on the overall mass range of the metabolites detected as well as the signal-to-noise ratios in DART mass spectra. Each DART run requires only 1.2 min, during which more than 1500 different spectral features are observed in a time-dependent fashion. A repeatability of 4.1% to 4.5% was obtained for the total ion signal using a manual sampling arm. With the appealing features of high-throughput, lack of memory effects, and simplicity, DART MS has shown potential to become an invaluable tool for metabolomic fingerprinting. (J Am Soc Mass Spectrom 2010, 21, 68 -75) © 2010 American Society for Mass Spectrometry M etabolomic fingerprinting, an unbiased, global screening approach to classify samples based on metabolite patterns or "fingerprints", has been performed in a wide variety of biological sample types such as urine, plasma, serum, and tissues [1]. Nuclear magnetic resonance (NMR) and mass spectrometry are two widely used analytical platforms applied to metabolomic fingerprinting. NMR has the advantage of requiring little sample preparation, and of producing datasets that are more easily mined [2-4], but cost and sensitivity are two of its major limitations. Gas chromatography-mass spectrometry (GC-MS) and liquid chromatography-mass spectrometry (LC-MS) are two additional techniques commonly used in metabolomic workflows [1,[5][6][7][8][9]. Despite being extremely comprehensive, GC-MS and LC-MS suffer from low analysis throughput and memory effects of the chromatographic supports, particularly when investigating metabolites in biological matrices such as serum. To overcome the above described limitations, enabling technologies for the effective analysis of metabolomes are still rapidly evolving.Direct analysis in real time (DART) is a plasma-based ion generation technique that operates under ambient conditions. It belongs to a wider family of ambient plasma ionization techniques that includes direct atmospheric pressure photo-ionization (DAPPI) [10], direct analysis in real time (DART) [11], flowing atmospheric pressure afterglow (FAPA) [12], plasma-assisted desorption ionization (PADI) [13], desorption atmospheric pre...

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“…Thus, the expression, localization, interaction, structural domains and activity of these proteins, including splice isoforms and posttranslational modifications (PTMs), can be studied [7]. Metabolomics is the study of a complete metabolome or a single group of particular metabolites, which are small molecules that participate in general metabolic reactions and that are required for the maintenance, growth and normal function of a cell [8]. The study of healthy valves through proteomic and metabolomic approaches and the subsequent integration of data, can provide molecular level information of the metabolic pathways that are more active in that tissue and will help to understand the mechanisms of physiological/pathological processes in aortic stenosis valves.…”

Section: Proteomic and Metabolomic Study Of Healthy Valvesmentioning

confidence: 99%

“…Metabolomics is the study of the set of final products and by-products of many metabolic pathways, called metabolites, which exist in humans and other living systems [8]. In order to perform a descriptive analysis of healthy valves, an untargeted approach, not focused on a specific group of metabolites, is the most recommended methodology.…”

Section: Metabolomicsmentioning

confidence: 99%

Proteomics and Metabolomics in Aortic Stenosis: Studying Healthy Valves for a Better Understanding of the Disease

Mouriño-Álvarez¹,

Laborde²,

Barderas³

2013

Calcific Aortic Valve Disease

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Gas chromatography/mass spectrometry in metabolic profiling of biological fluids

Cited by 266 publications

References 113 publications

Solid phase microextraction, mass spectrometry and metabolomic approaches for detection of potential urinary cancer biomarkers—A powerful strategy for breast cancer diagnosis

Solid phase microextraction, mass spectrometry and metabolomic approaches for detection of potential urinary cancer biomarkers—A powerful strategy for breast cancer diagnosis

Optimization of a direct analysis in real time/time-of-flight mass spectrometry method for rapid serum metabolomic fingerprinting

Proteomics and Metabolomics in Aortic Stenosis: Studying Healthy Valves for a Better Understanding of the Disease

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