Simultaneous quantification of energetically important metabolites in various cell types by CZE

A new CZE method was developed for the determination of 12 purine and pyrimidine nucleotides, two adenine coenzymes and their reduced forms, and acetyl coenzyme A in various cell extracts. As the concentration levels of these metabolites in living cells are low; CZE was combined with field‐enhanced sample stacking. As a result, the separation conditions were optimised to achieve a suitable resolution at the relatively high sample volume provided by this on‐line pre‐concentration technique. The optimum BGE was 150 mM glycine buffer (pH 9.5). Samples were introduced hydrodynamically using a pressure of 35 mbar (3.5 kPa) for 25 s, and data were collected at a detection wavelength of 260 nm. An applied voltage of 30 kV (positive polarity) and capillary temperature of 25°C gave the best separation of these compounds. The optimised method was validated by determining the linearity, sensitivity and repeatability and it was successfully applied for the analysis of extracts from Paracoccus denitrificans bacteria and from stem cells.     

色谱研究最新进展

色谱作为一种强大的分离分析手段,为推动生物医学和人类健康、环境监测与保护、食品安全与质检等领域的发展提供着解决问题的关键技术。最近几年来,我国色谱学科经历了全面快速发展,取得了令人瞩目的成绩,研究水平和国际地位得到巨大提升,色谱相关SCI论文发表数量居世界第一位。色谱应用领域也在不断扩大,尤其在蛋白质组学、代谢组学等新兴领域,以及药物、环境、食品分析等传统领域发挥越来越重要的作用。本文对近年来色谱学科(重点是我国色谱学科)在色谱技术、色谱填料和色谱柱、样品前处理方法、应用领域等方面的进展情况进行介绍。共引用109篇参考文献。     

Rapid LC‐MS‐based metabolomics method to study the Fusarium infection of barley

Ultra high performance liquid chromatography with quadrupole/time‐of‐flight mass spectrometry was applied to evaluate the potential of nontarget metabolomic fingerprinting in order to distinguish Fusarium‐infected and control barley samples. First, the sample extraction and instrumental conditions were optimized to obtain the broadest possible representation of polar/medium‐polar compounds occurring in extracts obtained from barley grain samples. Next, metabolomic fingerprints of extracts obtained from nine barley varieties were acquired under ESI conditions in both positive and negative mode. Each variety of barley was tested in two variants: artificially infected by Fusarium culmorum at the beginning of heading and a control group (no infection). In addition, the dynamics of barley infection development was monitored using this approach. The experimental data were statistically evaluated by principal component analysis, hierarchical clustering analysis, and orthogonal partial least‐squares discriminant analysis. The differentiation of barley in response to F. culmorum infection was feasible using this metabolomics‐based method. Analysis in positive mode provided a higher number of molecular features as compared to that performed under negative mode setting. However, the analysis in negative mode permitted the detection of deoxynivalenol and deoxynivalenol‐3‐glucoside considered as resistance‐indicator metabolites in barley.     

Multi-response optimization of the extraction and derivatization protocol of selected polar metabolites from apple fruit tissue for GC–MS analysis

Given the complexity of the plant metabolome exhibiting a wide spectrum of physico-chemical properties, finding the best compromise for GC–MS analysis is a challenging exercise. In this study, the GC–MS protocol for extracting and analyzing polar metabolites from apple tissue is optimized. We found pure methanol extraction to be slightly better as compared to the two phase methanol/chloroform/water extraction in terms of introducing less degradation of the extracted metabolites while being comparable in extraction efficiency and repeatability. The methanol extraction was superior to the single phase methanol/chloroform/water extraction in all performance measures. A multi-response optimization based on a desirability function was applied to optimize the derivatization. This procedure allows searching for optimal parameters while simultaneously considering overall detection enhancement of metabolites from various metabolic classes. A short oximation at a high temperature in combination with a low silylation temperature gave results similar to a longer oximation at low temperature in combination with a high silylation temperature. Increasing silylation time from 0.5 h to 2 h resulted in an improvement of the silylation reaction.     

A smartphone metabolomics platform and its application to the assessment of cisplatin-induced kidney toxicity

The application of smartphones to medical devices has been gaining attention in addressing accessibility and cost issues in healthcare, and the detection of medically relevant compounds has been demonstrated using customized smartphone hardware and/or software. Metabolomics, a newly rising omics field, has also spawned many medical applications but requires highly sophisticated and expensive equipment. Here, we describe a portable smartphone platform, built with readily available and affordable materials, that can perform all of the critical aspects of metabolomics. Excluding the smartphone itself, the total materials for the platform were obtained at less than US $20. For spectral data acquisition, the system utilized visible light (400–700 nm) and a built-in camera. All of the data processing, statistical analysis, and final-visualization components necessary for decision making were implemented in the smartphone platform. The platform is generally applicable as long as the analytes absorb visible light. We provide a proof-of-concept example wherein the metabolomics platform was applied to the assessment of cisplatin-induced kidney toxicity in a rat model, correctly predicting 7 out of 8 test samples.     

Effects of the application of different window functions and projection methods on processing of 1H J-resolved nuclear magnetic resonance spectra for metabolomics

Two dimensional (2D) homonuclear ¹H J-resolved (JRES) nuclear magnetic resonance spectroscopy is increasingly used in metabolomics. This approach visualises metabolite chemical shifts and scalar couplings along different spectral dimensions, thereby increasing peak dispersion and facilitating spectral assignments and accurate quantification. Here, we optimise the processing of 2D JRES spectra by evaluating different window functions, a traditional sine-bell (SINE) and a combined sine-bell-exponential (SEM) function. Furthermore, we evaluate different projection methods for generating 1D projected spectra (pJRES). Spectra were recorded from three disparate types of biological samples and evaluated in terms of sensitivity, reproducibility and resolution. Overall, the SEM window function yielded considerably higher sensitivity and comparable spectral reproducibility and resolution compared to SINE, for both 1D pJRES and 2D JRES datasets. Furthermore, for pJRES spectra, the highest spectral quality was obtained using SEM combined with skyline projection. These improvements lend further support to utilising 2D J-resolved spectroscopy in metabolomics.     

Anti-inflammatory effects of Scutellaria baicalensis water extract in LPS-induced THP-1 Macrophages through metabolomics study

(1) Background: Scutellaria baicalensis (Huang Qin) is a traditional Chinese Medicine possess beneficial effects of anti-inflammation in various diseases. In this study, we aimed to use untargeted metabolomics approach to investigate the possible underlying metabolic mechanisms of anti-inflammation effects of Scutellaria baicalensis in LPS-induced macrophages.; (2) Methods: Scutellaria baicalensis water extract (SBE) were applied to the THP-1 cells which were induced by phorbol 12-myristate 13-acetate (PMA) into macrophages under the LPS treated conditions. The cell lysate were collected and metabolites were extracted before characterizing by ultra-performance liquid chromatography (UPLC) combined with Q-Exactive mass/mass spectrometry (LC-MS/MS). The differential accumulated metabolites and related metabolism pathways affected by SBE in LPS-induced macrophages were identified. Further investigation of the secretion and expression of inflammatory cytokines IL-1β, TNF-ɑ and VEGFR were tested by real-time polymerase chain reaction (RT-PCR). (3) Results: The metabolome profile have indicated that retinol metabolism, arachidonic acid metabolism and linoleic acid metaoblism pathways were the most significantly enriched pathways response to SBE in LPS induced inflammatory model. Besides, SBE could inhibit the expression of the pro-inflammatory cytokines IL-1β and TNF-ɑ, and downregulation of the macrophage migration accelerator VEGFR1 in a dose dependent manner; (4) Conclusions: These findings indicated that SBE may exerted anti-inflammatory ability by regulating multiple fatty acids metabolism pathways as well as inhibiting the secretion of pro-inflammatory cytokines and VEGFR. This study provides evidences for Scutellaria baicalensis as the material for developing natural, effective anti-inflammatory products.     

Potential of monitoring isotopologues by quantitative gas chromatography with time‐of‐flight mass spectrometry for metabolomic assay

Because of the extreme complexity of metabolomic samples, the effectiveness of quantitative gas chromatography with time‐of‐flight mass spectrometry depends substantially on the expansion of the linear dynamic range. Facing the existence of numerous saturated detector signals, a data processing method based on monitoring isotopologues has been developed. The monoisotopic ion kept the high mass spectrometry sensitivity, and the less abundant isotopologue ions extended the linear dynamic range. This alternative method was proved to extend the linear dynamic range to five orders of magnitude successfully and overcome the quantitative problems induced by the ion detector saturation. Finally, to validate the applicability, the method was applied to a metabolomic assay of Alzheimer's disease. Comparing with the traditional monoisotopic method, the use of monitoring isotopologues helped us to discover an additional eight metabolites with significant difference and to conduct a more reliable principal component analysis as well. The results demonstrated that monitoring isotopologues in quantitative gas chromatography with time‐of‐flight mass spectrometry could improve the authenticity of metabolomic analysis.     

Metabolic fingerprinting of Schistosoma mansoni infection in mice urine with capillary electrophoresis

Schistosoma mansoni infection in mice has been fingerprinted using CE to study the capabilities of this technique as a diagnostic tool for this parasitic disease. Two modes of separation were used in generating the electrophoretic data, with each untreated urine sample the following methods were applied: (i) a fused-silica capillary, operating with an applied potential of 18 kV, in micellar EKC (MEKC) and (ii) a polyacrylamide-coated capillary, operating with an applied potential of -20 kV under zonal CZE conditions. By combining normal and reverse polarities in the data treatment we have extracted more information from the samples, which is a better approach for CE metabolomics. The traditional problems associated with variability in electrophoretic peak migration times for analytes were countered by using a dynamic programming algorithm for the electropherograms alignment. Principal component analyses of these aligned electropherograms and partial least square discriminant analysis (PLS-DA) data are shown to provide a valuable means of rapid and sample classification. This approach may become an important tool for the identification of biomarkers, diagnosis and disease surveillance.     

A quantitative liquid chromatography tandem mass spectrometry method for metabolomic analysis of Plasmodium falciparum lipid related metabolites

Plasmodium falciparum is the causative agent of malaria, a deadly infectious disease for which treatments are scarce and drug-resistant parasites are now increasingly found. A comprehensive method of identifying and quantifying metabolites of this intracellular parasite could expand the arsenal of tools to understand its biology, and be used to develop new treatments against the disease. Here, we present two methods based on liquid chromatography tandem mass spectrometry for reliable measurement of water-soluble metabolites involved in phospholipid biosynthesis, as well as several other metabolites that reflect the metabolic status of the parasite including amino acids, carboxylic acids, energy-related carbohydrates, and nucleotides. A total of 35 compounds was quantified. In the first method, polar compounds were retained by hydrophilic interaction chromatography (amino column) and detected in negative mode using succinic acid-¹³C₄ and fluorovaline as internal standards. In the second method, separations were carried out using reverse phase (C18) ion-pair liquid chromatography, with heptafluorobutyric acid as a volatile ion pairing reagent in positive detection mode, using d₉-choline and 4-aminobutanol as internal standards. Standard curves were performed in P. falciparum-infected and uninfected red blood cells using standard addition method (r² > 0.99). The intra- and inter-day accuracy and precision as well as the extraction recovery of each compound were determined. The lower limit of quantitation varied from 50 pmol to 100 fmol/3 × 10⁷ cells. These methods were validated and successfully applied to determine intracellular concentrations of metabolites from uninfected host RBCs and isolated Plasmodium parasites.