5‑Diethylamino-naphthalene-1-sulfonyl Chloride (DensCl): A Novel Triplex Isotope Labeling Reagent for Quantitative Metabolome Analysis by Liquid Chromatography Mass Spectrometry

We describe a new set of isotope reagents, ¹²C₄-, ¹²C₂¹³C₂-, and ¹³C₄-5-diethylamino-naphthalene-1-sulfonyl chloride (DensCl), in combination with liquid chromatography Fourier-transform ion cyclotron resonance mass spectrometry (LC-FTICR-MS), for improved analysis of the amine- and phenol-containing submetabolome. The synthesis of the reagents is reported, and an optimized derivatization protocol for labeling amines and phenols is described. To demonstrate the utility of the triplex reagents for metabolome profiling of biological samples, urine samples collected daily from a healthy volunteer over a period of 14 days were analyzed. The overall workflow is straightforward, including differential isotope labeling of individual samples and a pooled sample that serves a global internal standard, mixing of the isotope differentially labeled samples and LC-MS analysis for relative metabolome quantification. Comparing to the dansyl chloride (DnsCl) duplex isotope reagents, the new triplex DensCl reagents offer the advantages of improved metabolite detectability due to enhanced sensitivity (i.e., about 1000 peak pairs detected by DensCl labeling vs about 600 peak pairs detected by DnsCl labeling) and analysis speed (i.e., simultaneous analysis of two comparative samples by DensCl vs only one comparative sample analyzed by DnsCl)

5‑Diethylamino-naphthalene-1-sulfonyl Chloride (DensCl): A Novel Triplex Isotope Labeling Reagent for Quantitative Metabolome Analysis by Liquid Chromatography Mass Spectrometry

We describe a new set of isotope reagents, ¹²C₄-, ¹²C₂¹³C₂-, and ¹³C₄-5-diethylamino-naphthalene-1-sulfonyl chloride (DensCl), in combination with liquid chromatography Fourier-transform ion cyclotron resonance mass spectrometry (LC-FTICR-MS), for improved analysis of the amine- and phenol-containing submetabolome. The synthesis of the reagents is reported, and an optimized derivatization protocol for labeling amines and phenols is described. To demonstrate the utility of the triplex reagents for metabolome profiling of biological samples, urine samples collected daily from a healthy volunteer over a period of 14 days were analyzed. The overall workflow is straightforward, including differential isotope labeling of individual samples and a pooled sample that serves a global internal standard, mixing of the isotope differentially labeled samples and LC-MS analysis for relative metabolome quantification. Comparing to the dansyl chloride (DnsCl) duplex isotope reagents, the new triplex DensCl reagents offer the advantages of improved metabolite detectability due to enhanced sensitivity (i.e., about 1000 peak pairs detected by DensCl labeling vs about 600 peak pairs detected by DnsCl labeling) and analysis speed (i.e., simultaneous analysis of two comparative samples by DensCl vs only one comparative sample analyzed by DnsCl)

5‑Diethylamino-naphthalene-1-sulfonyl Chloride (DensCl): A Novel Triplex Isotope Labeling Reagent for Quantitative Metabolome Analysis by Liquid Chromatography Mass Spectrometry

We describe a new set of isotope reagents, ¹²C₄-, ¹²C₂¹³C₂-, and ¹³C₄-5-diethylamino-naphthalene-1-sulfonyl chloride (DensCl), in combination with liquid chromatography Fourier-transform ion cyclotron resonance mass spectrometry (LC-FTICR-MS), for improved analysis of the amine- and phenol-containing submetabolome. The synthesis of the reagents is reported, and an optimized derivatization protocol for labeling amines and phenols is described. To demonstrate the utility of the triplex reagents for metabolome profiling of biological samples, urine samples collected daily from a healthy volunteer over a period of 14 days were analyzed. The overall workflow is straightforward, including differential isotope labeling of individual samples and a pooled sample that serves a global internal standard, mixing of the isotope differentially labeled samples and LC-MS analysis for relative metabolome quantification. Comparing to the dansyl chloride (DnsCl) duplex isotope reagents, the new triplex DensCl reagents offer the advantages of improved metabolite detectability due to enhanced sensitivity (i.e., about 1000 peak pairs detected by DensCl labeling vs about 600 peak pairs detected by DnsCl labeling) and analysis speed (i.e., simultaneous analysis of two comparative samples by DensCl vs only one comparative sample analyzed by DnsCl)

IsoMS: Automated Processing of LC-MS Data Generated by a Chemical Isotope Labeling Metabolomics Platform

A chemical isotope labeling or isotope coded derivatization (ICD) metabolomics platform uses a chemical derivatization method to introduce a mass tag to all of the metabolites having a common functional group (e.g., amine), followed by LC-MS analysis of the labeled metabolites. To apply this platform to metabolomics studies involving quantitative analysis of different groups of samples, automated data processing is required. Herein, we report a data processing method based on the use of a mass spectral feature unique to the chemical labeling approach, i.e., any differential-isotope-labeled metabolites are detected as peak pairs with a fixed mass difference in a mass spectrum. A software tool, IsoMS, has been developed to process the raw data generated from one or multiple LC-MS runs by peak picking, peak pairing, peak-pair filtering, and peak-pair intensity ratio calculation. The same peak pairs detected from multiple samples are then aligned to produce a CSV file that contains the metabolite information and peak ratios relative to a control (e.g., a pooled sample). This file can be readily exported for further data and statistical analysis, which is illustrated in an example of comparing the metabolomes of human urine samples collected before and after drinking coffee. To demonstrate that this method is reliable for data processing, five ¹³C₂-/¹²C₂-dansyl labeled metabolite standards were analyzed by LC-MS. IsoMS was able to detect these metabolites correctly. In addition, in the analysis of a ¹³C₂-/¹²C₂-dansyl labeled human urine, IsoMS detected 2044 peak pairs, and manual inspection of these peak pairs found 90 false peak pairs, representing a false positive rate of 4.4%. IsoMS for Windows running R is freely available for noncommercial use from www.mycompoundid.org/IsoMS

Development of High-Performance Chemical Isotope Labeling LC–MS for Profiling the Human Fecal Metabolome

Human fecal samples contain endogenous human metabolites, gut microbiota metabolites, and other compounds. Profiling the fecal metabolome can produce metabolic information that may be used not only for disease biomarker discovery, but also for providing an insight about the relationship of the gut microbiome and human health. In this work, we report a chemical isotope labeling liquid chromatography–mass spectrometry (LC–MS) method for comprehensive and quantitative analysis of the amine- and phenol-containing metabolites in fecal samples. Differential ¹³C₂/¹²C₂-dansyl labeling of the amines and phenols was used to improve LC separation efficiency and MS detection sensitivity. Water, methanol, and acetonitrile were examined as an extraction solvent, and a sequential water–acetonitrile extraction method was found to be optimal. A step-gradient LC–UV setup and a fast LC–MS method were evaluated for measuring the total concentration of dansyl labeled metabolites that could be used for normalizing the sample amounts of individual samples for quantitative metabolomics. Knowing the total concentration was also useful for optimizing the sample injection amount into LC–MS to maximize the number of metabolites detectable while avoiding sample overloading. For the first time, dansylation isotope labeling LC–MS was performed in a simple time-of-flight mass spectrometer, instead of high-end equipment, demonstrating the feasibility of using a low-cost instrument for chemical isotope labeling metabolomics. The developed method was applied for profiling the amine/phenol submetabolome of fecal samples collected from three families. An average of 1785 peak pairs or putative metabolites were found from a 30 min LC–MS run. From 243 LC–MS runs of all the fecal samples, a total of 6200 peak pairs were detected. Among them, 67 could be positively identified based on the mass and retention time match to a dansyl standard library, while 581 and 3197 peak pairs could be putatively identified based on mass match using MyCompoundID against a Human Metabolome Database and an Evidence-based Metabolome Library, respectively. This represents the most comprehensive profile of the amine/phenol submetabolome ever detected in human fecal samples. The quantitative metabolome profiles of individual samples were shown to be useful to separate different groups of samples, illustrating the possibility of using this method for fecal metabolomics studies