Supercritical fluid extraction as a preparation method for mass spectrometry of dried blood spots.

The potential of supercritical fluid extraction (SFE) as a preparation method for mass spectrometry of dried blood spots (DBS) was examined. SFE is generally used for the extraction of hydrophobic compounds, but hydrophilic metabolites such as amino acids, amines, and nucleic-acid-related metabolites could be extracted by adding a low level of methanol as a modifier. Under the optimized conditions, over 200 metabolites were detected from a dried serum spot, of which over 160 metabolites could be analyzed stably (RSD <20%). These results show that SFE is an effective extraction method of metabolites with a wide range of polarity in DBS.

Metabolomics for biomarker discovery in gastroenterological cancer.

The study of the omics cascade, which involves comprehensive investigations based on genomics, transcriptomics, proteomics, metabolomics, etc., has developed rapidly and now plays an important role in life science research. Among such analyses, metabolome analysis, in which the concentrations of low molecular weight metabolites are comprehensively analyzed, has rapidly developed along with improvements in analytical technology, and hence, has been applied to a variety of research fields including the clinical, cell biology, and plant/food science fields. The metabolome represents the endpoint of the omics cascade and is also the closest point in the cascade to the phenotype. Moreover, it is affected by variations in not only the expression but also the enzymatic activity of several proteins. Therefore, metabolome analysis can be a useful approach for finding effective diagnostic markers and examining unknown pathological conditions. The number of studies involving metabolome analysis has recently been increasing year-on-year. Here, we describe the findings of studies that used metabolome analysis to attempt to discover biomarker candidates for gastroenterological cancer and discuss metabolome analysis-based disease diagnosis.

A novel gas chromatography mass spectrometry-based serum diagnostic and assessment approach to ulcerative colitis.

BACKGROUND & AIMS: To improve the clinical course of ulcerative colitis (UC), more accurate serum diagnostic and assessment methods are required. We used serum metabolomics to develop diagnostic and assessment methods for UC. METHODS: Sera from UC patients, Crohn's disease (CD) patients, and healthy volunteers (HV) were collected at multiple institutions. The UC and HV were randomly allocated to the training or validation set, and their serum metabolites were analyzed by gas chromatography mass spectrometry (GC/MS). Using the training set, diagnostic and assessment models for UC were established by multiple logistic regression analysis. Then, the models were assessed using the validation set. Additionally, to establish a diagnostic model for discriminating UC from CD, the CD patients' data were used. RESULTS: The diagnostic model for discriminating UC from HV demonstrated an AUC of 0.988, 93.33% sensitivity, and 95.00% specificity in the training set and 95.00% sensitivity and 98.33% specificity in the validation set. Another model for discriminating UC from CD exhibited an AUC of 0.965, 85.00% sensitivity, and 97.44% specificity in the training set and 83.33% sensitivity in the validation set. The model for assessing UC showed an AUC of 0.967, 84.62% sensitivity, and 88.23% specificity in the training set and 84.62% sensitivity, 91.18% specificity, and a significant correlation with the clinical activity index (rs=0.7371, P<0.0001) in the validation set. CONCLUSIONS: Our models demonstrated high performance and might lead to the development of a novel treatment selection method based on UC condition.

Metabolome analysis for discovering biomarkers of gastroenterological cancer.

Improvements in analytical technologies have made it possible to rapidly determine the concentrations of thousands of metabolites in any biological sample, which has resulted in metabolome analysis being applied to various types of research, such as clinical, cell biology, and plant/food science studies. The metabolome represents all of the end products and by-products of the numerous complex metabolic pathways operating in a biological system. Thus, metabolome analysis allows one to survey the global changes in an organism's metabolic profile and gain a holistic understanding of the changes that occur in organisms during various biological processes, e.g., during disease development. In clinical metabolomic studies, there is a strong possibility that differences in the metabolic profiles of human specimens reflect disease-specific states. Recently, metabolome analysis of biofluids, e.g., blood, urine, or saliva, has been increasingly used for biomarker discovery and disease diagnosis. Mass spectrometry-based techniques have been extensively used for metabolome analysis because they exhibit high selectivity and sensitivity during the identification and quantification of metabolites. Here, we describe metabolome analysis using liquid chromatography-mass spectrometry, gas chromatography-mass spectrometry, and capillary electrophoresis-mass spectrometry. Furthermore, the findings of studies that attempted to discover biomarkers of gastroenterological cancer are also outlined. Finally, we discuss metabolome analysis-based disease diagnosis.

A novel serum metabolomics-based diagnostic approach to pancreatic cancer.

BACKGROUND: To improve the prognosis of patients with pancreatic cancer, more accurate serum diagnostic methods are required. We used serum metabolomics as a diagnostic method for pancreatic cancer. METHODS: Sera from patients with pancreatic cancer, healthy volunteers, and chronic pancreatitis were collected at multiple institutions. The pancreatic cancer and healthy volunteers were randomly allocated to the training or the validation set. All of the chronic pancreatitis cases were included in the validation set. In each study, the subjects' serum metabolites were analyzed by gas chromatography mass spectrometry (GC/MS) and a data processing system using an in-house library. The diagnostic model constructed via multiple logistic regression analysis in the training set study was evaluated on the basis of its sensitivity and specificity, and the results were confirmed by the validation set study. RESULTS: In the training set study, which included 43 patients with pancreatic cancer and 42 healthy volunteers, the model possessed high sensitivity (86.0%) and specificity (88.1%) for pancreatic cancer. The use of the model was confirmed in the validation set study, which included 42 pancreatic cancer, 41 healthy volunteers, and 23 chronic pancreatitis; that is, it displayed high sensitivity (71.4%) and specificity (78.1%); and furthermore, it displayed higher sensitivity (77.8%) in resectable pancreatic cancer and lower false-positive rate (17.4%) in chronic pancreatitis than conventional markers. CONCLUSIONS: Our model possessed higher accuracy than conventional tumor markers at detecting the resectable patients with pancreatic cancer in cohort including patients with chronic pancreatitis. IMPACT: It is a promising method for improving the prognosis of pancreatic cancer via its early detection and accurate discrimination from chronic pancreatitis.

Current metabolomics: practical applications.

The field of metabolomics continues to grow rapidly over the last decade and has been proven to be a powerful technology in predicting and explaining complex phenotypes in diverse biological systems. Metabolomics complements other omics, such as transcriptomics and proteomics and since it is a 'downstream' result of gene expression, changes in the metabolome is considered to best reflect the activities of the cell at a functional level. Thus far, metabolomics might be the sole technology capable of detecting complex, biologically essential changes. As one of the omics technology, metabolomics has exciting applications in varied fields, including medical science, synthetic biology, medicine, and predictive modeling of plant, animal and microbial systems. In addition, integrated applications with genomics, transcriptomics, and proteomics provide greater understanding of global system biology. In this review, we discuss recent applications of metabolomics in microbiology, plant, animal, food, and medical science.

High-throughput simultaneous analysis of pesticides by supercritical fluid chromatography/tandem mass spectrometry.

Combination techniques such as gas chromatography/mass spectrometry (GC/MS) and liquid chromatography/mass spectrometry (LC/MS) are commonly used for pesticide residue analysis, but there is no reported method for the simultaneous analysis of multiple pesticides in a sample using a single instrument. Supercritical fluid chromatography (SFC) offers high resolution at high flow rates and various separation modes and hence may aid the rapid simultaneous analysis of pesticide. We developed an SFC/MS/MS method and analyzed 17 pesticides with a wide range of polarities (logP(ow)=-4.6 to 7.05) and molecular weights (112.1-888.6) within 11min using a polar-embedded reversed-phase column. To the best of our knowledge, there is no previous report on the SFC analysis of a wide variety of compounds, including highly hydrophilic ones. By SFC, diquat dibromide (logP(ow)=-4.6), together with cypermethrin (logP(ow)=6.6) and tralomethrin (logP(ow)=5.05), could be detected in the presence of various other pesticides using a single mobile phase. SFC/MS allows for the rapid and simultaneous analysis of low concentrations (ng/L levels) of pesticides that typically need to be analyzed by GC/MS and LC/MS separately.

High-throughput phospholipid profiling system based on supercritical fluid extraction-supercritical fluid chromatography/mass spectrometry for dried plasma spot analysis.

The dried blood spots (DBS) and dried plasma spots (DPS) analysis is available as a diagnostic tool for genetic diseases and is useful for the screening of biomarkers. In this study, a high-throughput analytical system based on supercritical fluid extraction-supercritical fluid chromatography with tandem mass spectrometry (SFE-SFC/MS/MS) was constructed for phospholipids profiling of DPS. This system is able to simultaneously perform extraction and separation, allowing phospholipids that have common polar head groups to be analyzed. Phospholipids in only 3 µl of plasma can be extracted in 5 min and analyzed within 15 min using this system. A total of 134 phospholipids, including phosphatidylcholine, lysophosphatidylcholine, sphingomyelin, phosphatidylethanolamine and lysophosphatidylethanolamine, were annotated, and 74 phospholipids were analyzed with good repeatability. The SFE-SFC/MS/MS, which is able to perform high-throughput lipid profiling analysis for clinical diagnosis and drug discovery, may also be suitable for the screening of biomarkers.

High-throughput and sensitive analysis of 3-monochloropropane-1,2-diol fatty acid esters in edible oils by supercritical fluid chromatography/tandem mass spectrometry.

We have established a high-throughput and sensitive analytical method based on supercritical fluid chromatography (SFC) coupled with triple quadrupole mass spectrometry (QqQ MS) for 3-monochloropropane-1,2-diol (3-MCPD) fatty acid esters in edible oils. All analytes were successfully separated within 9 min without sample purification. The system was precise and sensitive, with a limit of detection less than 0.063 mg/kg. The recovery rate of 3-MCPD fatty acid esters spiked into oil samples was in the range of 62.68-115.23%. Furthermore, several edible oils were tested for analyzing 3-MCPD fatty acid ester profiles. This is the first report on the analysis of 3-MCPD fatty acid esters by SFC/QqQ MS. The developed method will be a powerful tool for investigating 3-MCPD fatty acid esters in edible oils.

High-accuracy analysis system for the redox status of coenzyme Q10 by online supercritical fluid extraction-supercritical fluid chromatography/mass spectrometry.

The accurate profiling of oxidative stress markers is often disturbed by oxidation occurred during sample preparation. In this study, an online supercritical fluid extraction-supercritical fluid chromatography/mass spectrometry system was constructed utilizing supercritical fluid as an efficient solvent for extraction. A higher ratio of the reduced form of coenzyme Q(10) (CoQ(10)) was detected by online extraction, rather than by offline extraction using a conventional organic solvent. The results suggest that the profile of easily oxidized compounds can be acquired with high accuracy using this system because the oxidation of the target compounds during sample preparation can be avoided when using the online extraction.

Metabolic profiling of lipids by supercritical fluid chromatography/mass spectrometry.

This review describes the usefulness of supercritical fluid chromatography (SFC) for the metabolic profiling of lipids. First, non-targeted lipid profiling by SFC/MS is described. The use of SFC/MS allows for high-throughput, exhaustive analysis of diverse lipids, and hence, this technique finds potential applications in lipidomics. Development of a polar lipid profiling method with trimethylsilyl (TMS) derivatization widens the scope of applicability of SFC/MS. SFC is a high-resolution technique that is suitable for non-targeted profiling aimed at the simultaneous analysis of many components. Next, targeted lipid profiling by SFC/MS is described. SFC is useful for the separation of lipids, such as carotenoids and triacylglycerols, which have numerous analogs with similar structures. In addition, SFC/MS shows the maximum efficiency for the target analysis of lipids in a biological sample that includes many matrices. Finally, a high-resolution, high-throughput analytical system based on SFC/MS is stated to be suitable for lipidomics because it is useful not only for the screening of lipid mixtures (as a fingerprint method) but also for the detailed profiling of individual components.

Development of oxidized phosphatidylcholine isomer profiling method using supercritical fluid chromatography/tandem mass spectrometry.

Phospholipids that contain polyunsaturated fatty acid are easily oxidized by free radicals or oxidants and can yield numerous oxidation species, including positional and structural isomers. However, it is difficult to separate these oxidation products for structural analysis. In this study, a high-resolution separation analytical system based on supercritical fluid chromatography with tandem mass spectrometry (SFC/MS/MS) was established for the separation and identification of oxidized phosphatidylcholine (PC) isomers derived from esterified linoleic acid or arachidonic acid. Separation of oxidatively modified PC containing hydroxy, epoxy and hydroperoxy groups was achieved by SFC. Positional isomers of hydroxides and epoxides were identified based on MS/MS fragment information. To investigate whether this method is applicable to biological samples, we then analyzed oxidized PC isomers from mouse liver. Oxidized isomers, such as hydroxides, hydroperoxides and epoxides, were simultaneously observed. This method may be a powerful tool for providing further insight into how oxidized phospholipids are produced and are correlated with various diseases.

Highly sensitive and rapid profiling method for carotenoids and their epoxidized products using supercritical fluid chromatography coupled with electrospray ionization-triple quadrupole mass spectrometry.

Epoxy carotenoids, which are products of carotenoid oxidation, are potential oxidative stress markers. However, it is difficult to profile epoxy carotenoids owing to their small amount and difficulty in their separation from hydroxy carotenoids. In this study, a high-performance analytical system based on supercritical fluid chromatography (SFC) coupled with tandem mass spectrometry (MS/MS) was developed for the simultaneous analysis of carotenoids and epoxy carotenoids. SFC is an effective separation technique for hydrophobic compounds, by which major carotenoids in human serum and their epoxidation products can be analyzed within 20 min. The use of MS/MS increased the sensitivity; the detection limit for each carotenoid was of the sub-fmol order. When the constructed method was applied to biological samples such as human serum and low-density lipoprotein (LDL), the precise detection of the target carotenoids was disturbed by several isomers. However, highly selective detection of epoxy carotenoids was performed by targeting product ions that were generated with a structure-specific neutral loss of 80Da. Furthermore, the sample volume needed for the analysis was only 0.1ml for the serum, indicating the efficiency of this system in performing small-scale analyses. Using the analytical system developed in this study, highly sensitive and selective analysis of epoxy carotenoids could be performed in a short time. These features show the usefulness of this system in application to screening analysis of carotenoid profiles that are easily modified by oxidative stress.

Application of supercritical fluid chromatography/mass spectrometry to lipid profiling of soybean.

A metabolomics technology for lipid profiling based on supercritical fluid chromatography (SFC) coupled with mass spectrometry (MS) was applied to analyze lipids of soybean. Principal component analysis (PCA) was used to discriminate twelve soybean cultivars according to their suitability for different processed foods such as natto, tofu, edamame, and nimame. By PCA assay, triacylglycerol (TAG) was found as the main variable for discrimination of soybean cultivars. Therefore, a high-throughput and high-resolution TAG profiling method by SFC/MS was developed to more effective discrimination. By investigating several columns, three Chromolith Performance RP-18e columns connected in series were chosen as the most effective column for TAG profiling. Diverse TAGs were separated effectively for 8 min without purification. Additionally, each TAG was identified successfully by the programmed cone voltage fragmentation even without MS/MS analysis and any standard sample.

Development of a polar lipid profiling method by supercritical fluid chromatography/mass spectrometry.

We established a high-throughput and high-resolution analytical method based on supercritical fluid chromatography (SFC) coupled with mass spectrometry (MS) for the simultaneous profiling of diverse polar lipids in a mixture. Trimethylsilyl (TMS) derivatization was used for the analysis of ten polar lipids: phosphatidylglycerol (PG), phosphatidic acid (PA), phosphatidylinositol (PI), lysophosphatidylcholine (LPC), lysophosphatidylethanolamine (LPE), lysophosphatidylglycerol (LPG), lysophosphatidic acid (LPA), lysophosphatidylinositol (LPI), sphingomyeline (SM), and sphingosine-1-phosphate (S1P). Using the developed method, the peak tailings of PA, PI, LPA, LPI, and S1P improved, and the limit of detection of PG, PI, LPA, LPI, and S1P was enhanced by 12-, 40-, 510-, 39-, and 1490-fold, respectively. Next, in the analysis of sheep plasma, 20 minor species of PI, LPC, LPE, and SM, and 7 molecular species of LPA, LPI, and S1P were additionally analyzed. The relative ratio of the molecular species in each polar lipid was also found by quantification. Finally, the simultaneous and detail profiling of ten polar lipids was successfully performed by SFC/MS applying TMS derivatization. This developed method is particularly applicable to metabolomics, especially for targeting polar lipids.

Metabolic profiling of ß-cryptoxanthin and its fatty acid esters by supercritical fluid chromatography coupled with triple quadrupole mass spectrometry.

In this study, a high-throughput and high-sensitivity profiling system for ß-cryptoxanthin (ßCX) and ß-cryptoxanthin fatty acid ester (ßCXFA) was constructed by supercritical fluid chromatography (SFC) coupled with triple quadrupole mass spectrometry (QqQMS). ßCX and nine ßCXFAs were successfully separated within 20 min using a column packed with octadecylsilyl-bonded silica particles. The limit of detection was 540 fmol for the free form and 32-130 fmol for the esterified forms. These results demonstrate that both the throughput and the sensitivity of this SFC-QqQMS system are considerably higher than those of conventional methods. When this system was applied for the analysis of Citrus unshiu, ßCX and five ßCXFAs were directly detected with much simpler sample pre-preparation. The analysis of other citrus fruits indicated that the ßCXFA profiles varied with their breed variety. Furthermore, gas chromatography-mass spectrometry was used to analyze total fatty acid profiles in C. unshiu, and the results revealed that the profiles of fatty acids located in ßCXFA were distinct. This is the first report on the analysis of ßCX and its fatty acid derivatives by SFC-QqQMS. The profiling system developed in this study will be a powerful tool for investigating xanthophyll fatty acid esters.

Metabolite analysis by supercritical fluid chromatography.

Owing to its favorable properties, such as low viscosity and high diffusivity, a supercritical fluid can be used as the mobile phase in chromatography. Supercritical fluid chromatography (SFC) can provide high-speed and high-resolution separation. Since supercritical carbon dioxide (SCCO(2)), which is generally used as the mobile phase in SFC, is automatically emitted at room temperature, SFC is most commonly used as a preparative method. However, SFC can also be used to perform high-precision biomolecular analysis, especially for hydrophobic metabolites, because of the low polarity of SCCO(2). The use of a mass spectrometer with SFC can widen the scope of application of SFC to bioanalysis. In this review, we summarize practical application of SFC as a tool for the analysis of metabolites in real biological samples.

Highly sensitive and accurate profiling of carotenoids by supercritical fluid chromatography coupled with mass spectrometry.

We attempted to establish a high-speed and high-resolution profiling method for a carotenoid mixture as a highly selective and highly sensitive detection method; the analysis was carried out by supercritical fluid chromatography (SFC) coupled with mass spectrometry (MS). When an octadecyl-bonded silica (ODS) particle-packed column was used for separation, seven carotenoids including structural isomers were successfully separated within 15 min. This result indicated not only improved separation but also improved throughput compared to the separation and throughput in RP-HPLC. The use of a monolithic ODS column resulted in additional improvement in both the resolution and the throughput; the analysis time was reduced to 4 min by increasing the flow rate. Furthermore, carotenoids in biological samples containing the complex matrices were separated effectively by using several monolithic columns whose back pressure was very low. The mass spectrometer allowed us to perform a more sensitive analysis than UV detection; the detection limit of each carotenoid was 50 pg or below. This is the first report of carotenoid analysis carried out by SFC-MS. The profiling method developed in this study will be a powerful tool for carrying out accurate profiling of biological samples.

High throughput and exhaustive analysis of diverse lipids by using supercritical fluid chromatography-mass spectrometry for metabolomics.

We have developed an analytical system that enables the simultaneous rapid analysis of lipids with varied structures and polarities through the use of supercritical fluid chromatography-mass spectrometry (SFC-MS). The separation conditions for SFC (column, modifier, back pressure, etc.) and the detection conditions for mass spectrometry (ionization method, parameters, etc.) were investigated to develop a simultaneous analytical method for lipid mixtures that included phospholipids, glycolipids, neutral lipids, and sphingolipids. When cyanopropylated silica gel-packed column was used for the separation, all lipids were successfully detected and the analysis time was less than 15 min. The use of an octadecylsilylated column resulted in separation, which was dependent on the differences in the unsaturation of the fatty acid side chains and isomer separation. This system is a powerful tool for studies on lipid metabolomics because it is useful not only as a fingerprinting method for the screening of diverse lipids but also for the detailed profiling of individual components.