Perfluorooctanesulfonic Acid and Perfluorooctanoic Acid Promote Migration of Three-Dimensional Colorectal Cancer Spheroids.

Perfluorooctanesulfonic acid (PFOS) and perfluorooctanoic acid (PFOA) are persistent environmental contaminants that are of increasing public concern worldwide. However, their relationship with colorectal cancer (CRC) is poorly understood. This study aims to comprehensively investigate the effect of PFOS and PFOA on the development and progression of CRC in vitro using a series of biological techniques and metabolic profiling. Herein, the migration of three-dimensional (3D) spheroids of two CRC cell lines, SW48 KRAS wide-type (WT) and SW48 KRAS G12A, were observed after exposure to PFOS and PFOA at 2 µM and 10 µM for 7 days. The time and dose-dependent migration phenotype induced by 10 µM PFOS and PFOA was further confirmed by wound healing and trans-well migration assays. To investigate the mechanism of action, derivatization-mass spectrometry-based metabolic profiles were examined from 3D spheroids of SW48 cell lines exposed to PFOS and PFOA (2 µM and 10 µM). Our findings revealed this exposure altered epithelial-mesenchymal transition related metabolic pathways, including fatty acid ß-oxidation and synthesis of proteins, nucleotides, and lipids. Furthermore, this phenotype was confirmed by the downregulation of E-cadherin and upregulation of N-cadherin and vimentin. These findings show novel insight into the relationship between PFOS, PFOA, and CRC.

ALKBH5 modulates hematopoietic stem and progenitor cell energy metabolism through m6A modification-mediated RNA stability control.

N6-methyladenosine (m6A) RNA modification controls numerous cellular processes. To what extent these post-transcriptional regulatory mechanisms play a role in hematopoiesis has not been fully elucidated. We here show that the m6A demethylase alkB homolog 5 (ALKBH5) controls mitochondrial ATP production and modulates hematopoietic stem and progenitor cell (HSPC) fitness in an m6A-dependent manner. Loss of ALKBH5 results in increased RNA methylation and instability of oxoglutarate-dehydrogenase (Ogdh) messenger RNA and reduction of OGDH protein levels. Limited OGDH availability slows the tricarboxylic acid (TCA) cycle with accumulation of α-ketoglutarate (α-KG) and conversion of α-KG into L-2-hydroxyglutarate (L-2-HG). L-2-HG inhibits energy production in both murine and human hematopoietic cells in vitro. Impaired mitochondrial energy production confers competitive disadvantage to HSPCs and limits clonogenicity of Mll-AF9-induced leukemia. Our study uncovers a mechanism whereby the RNA m6A demethylase ALKBH5 regulates the stability of metabolic enzyme transcripts, thereby controlling energy metabolism in hematopoiesis and leukemia.

Trackable and scalable LC-MS metabolomics data processing using asari.

Significant challenges remain in the computational processing of data from liquid chomratography-mass spectrometry (LC-MS)-based metabolomic experiments into metabolite features. In this study, we examine the issues of provenance and reproducibility using the current software tools. Inconsistency among the tools examined is attributed to the deficiencies of mass alignment and controls of feature quality. To address these issues, we develop the open-source software tool asari for LC-MS metabolomics data processing. Asari is designed with a set of specific algorithmic framework and data structures, and all steps are explicitly trackable. Asari compares favorably to other tools in feature detection and quantification. It offers substantial improvement in computational performance over current tools, and it is highly scalable.

Generalized Tree Structure to Annotate Untargeted Metabolomics and Stable Isotope Tracing Data.

In untargeted metabolomics, multiple ions are often measured for each original metabolite, including isotopic forms and in-source modifications, such as adducts and fragments. Without prior knowledge of the chemical identity or formula, computational organization and interpretation of these ions is challenging, which is the deficit of previous software tools that perform the task using network algorithms. We propose here a generalized tree structure to annotate ions in relationships to the original compound and infer neutral mass. An algorithm is presented to convert mass distance networks to this tree structure with high fidelity. This method is useful for both regular untargeted metabolomics and stable isotope tracing experiments. It is implemented as a Python package (khipu) and provides a JSON format for easy data exchange and software interoperability. By generalized preannotation, khipu makes it feasible to connect metabolomics data with common data science tools and supports flexible experimental designs.

Generalized tree structure to annotate untargeted metabolomics and stable isotope tracing data.

In untargeted metabolomics, multiple ions are often measured for each original metabolite, including isotopic forms and in-source modifications, such as adducts and fragments. Without prior knowledge of the chemical identity or formula, computational organization and interpretation of these ions is challenging, which is the deficit of previous software tools that perform the task using network algorithms. We propose here a generalized tree structure to annotate ions to relationships to the original compound and infer neutral mass. An algorithm is presented to convert mass distance networks to this tree structure with high fidelity. This method is useful for both regular untargeted metabolomics and stable isotope tracing experiments. It is implemented as a Python package (khipu), and provides a JSON format for easy data exchange and software interoperability. By generalized pre-annotation, khipu makes it feasible to connect metabolomics data with common data science tools, and supports flexible experimental designs.

Mapping subcellular localizations of unannotated microproteins and alternative proteins with MicroID.

Proteogenomic identification of translated small open reading frames has revealed thousands of previously unannotated, largely uncharacterized microproteins, or polypeptides of less than 100 amino acids, and alternative proteins (alt-proteins) that are co-encoded with canonical proteins and are often larger. The subcellular localizations of microproteins and alt-proteins are generally unknown but can have significant implications for their functions. Proximity biotinylation is an attractive approach to define the protein composition of subcellular compartments in cells and in animals. Here, we developed a high-throughput technology to map unannotated microproteins and alt-proteins to subcellular localizations by proximity biotinylation with TurboID (MicroID). More than 150 microproteins and alt-proteins are associated with subnuclear organelles. One alt-protein, alt-LAMA3, localizes to the nucleolus and functions in pre-rRNA transcription. We applied MicroID in a mouse model, validating expression of a conserved nuclear microprotein, and establishing MicroID for discovery of microproteins and alt-proteins in vivo.

Nascent alt-protein chemoproteomics reveals a pre-60S assembly checkpoint inhibitor.

Many unannotated microproteins and alternative proteins (alt-proteins) are coencoded with canonical proteins, but few of their functions are known. Motivated by the hypothesis that alt-proteins undergoing regulated synthesis could play important cellular roles, we developed a chemoproteomic pipeline to identify nascent alt-proteins in human cells. We identified 22 actively translated alt-proteins or N-terminal extensions, one of which is post-transcriptionally upregulated by DNA damage stress. We further defined a nucleolar, cell-cycle-regulated alt-protein that negatively regulates assembly of the pre-60S ribosomal subunit (MINAS-60). Depletion of MINAS-60 increases the amount of cytoplasmic 60S ribosomal subunit, upregulating global protein synthesis and cell proliferation. Mechanistically, MINAS-60 represses the rate of late-stage pre-60S assembly and export to the cytoplasm. Together, these results implicate MINAS-60 as a potential checkpoint inhibitor of pre-60S assembly and demonstrate that chemoproteomics enables hypothesis generation for uncharacterized alt-proteins.

High Coverage Profiling of Carboxylated Metabolites in HepG2 Cells Using Secondary Amine-Assisted Ultrahigh-Performance Liquid Chromatography Coupled to High-Resolution Mass Spectrometry.

Carboxylic metabolites are an important class of metabolites, which widely exist in mammals with various types. Chemical isotope labeling liquid chromatography-mass spectrometry (CIL-LC-MS) has been widely used for the detection of carboxylated metabolites. However, high coverage analysis of carboxylated metabolites in biological samples is still challenging due to improper reactivity and selectivity of labeling reagents to carboxylated metabolites. In this study, we used N-methylphenylethylamine (MPEA) to label various types of carboxylated metabolites including short-chain fatty acids (SCFAs), medium-chain fatty acids (MCFAs), long-chain fatty acids (LCFAs), polycarboxylic acids (polyCAs), amino acids (AAs), and aromatic acids. Additionally, metabolites containing other functional groups, such as phenol, sulfhydryl, and phosphate groups, could not be labeled under the conditions of MPEA labeling. After MPEA labeling, the detection sensitivity of carboxylic acids was increased by 1-2 orders of magnitude, and their chromatographic retention on a reversed-phase (RP) column was enhanced (RT > 3 min). Under optimized labeling conditions, we used MPEA and d3-N-methylphenylethylamine (d3-MPEA) for high coverage screening of carboxylated metabolites in HepG2 cells by ultrahigh-performance liquid chromatography coupled to high-resolution mass spectrometry (UHPLC-HRMS). As a result, a total of 403 potential carboxylated metabolites were obtained of which 68 were confirmed based on our established in-house chemically labeled metabolite database (CLMD). SCFAs, MCFAs, LCFAs, polyCAs, AAs, and aromatic acids were all detected in HepG2 cell extracts. Due to the successful identification of AAs, the current method increased the coverage of carboxylated metabolites compared with our previous work. Moreover, 133 and 109 carboxylated metabolites with changed contents were obtained in HepG2 cells incubated with curcumin and R-3-hydroxybutyric acid, respectively. In general, our established method realized high coverage analysis of carboxylated metabolites in HepG2 cells.

Hydrogen-Deuterium Scrambling Based on Chemical Isotope Labeling Coupled with LC-MS: Application to Amine Metabolite Identification in Untargeted Metabolomics.

Identification of metabolites at the trace level in complex samples is still one of the major challenges in untargeted metabolomics. One formula in the metabolomic database is always corresponding to more than one candidate, which increases the difficulty and cost in the subsequent process of standard compound matching. In this study, we developed an effective method for amine metabolite identification by hydrogen-deuterium scrambling (HDS) based on chemical isotope labeling coupled with liquid chromatography-mass spectrometry (HDS-CIL-LC-MS). After d4-4-(N,N-dimethylamino)phenyl isothiocyanate (d4-DMAP) labeling, the labeled amine metabolites can produce HDS under collision-induced dissociation (CID). The HDS can effectively reflect the number of labile hydrogen atoms in amine metabolites and thus distinguish amine isomers with different functional groups. The developed HDS-CIL-LC-MS method was applied to the determination of amine metabolites in mice feces, in which the amine candidates obtained by the database based on chemical formula searching were reduced by 64% on average, which greatly reduces the cost of standard compound matching. Taken together, the developed HDS-CIL-LC-MS analysis was demonstrated to be a promising method for untargeted metabolomics and a novel strategy for deciphering tandem mass spectrometry (MS2) spectra.

Simultaneous quantitative analysis of multiple sphingoid bases by stable isotope labeling assisted liquid chromatography-mass spectrometry.

Sphingoid bases (SBs) are one of important components of cell membranes, playing important roles in cellular biology. Meanwhile, SBs are associated with various metabolic diseases such as Type 2 Diabetes mellitus (T2DM). Therefore, simultaneous quantitation of multiple SBs in biological samples could provide crucial information for uncovering underlying mechanisms of SBs related functions and diseases. However, existing methods are difficult to achieve simultaneous quantitation for multiple SBs due to the lack of isotope internal standards (ISs) of corresponding SBs. In the current study, we developed a highly sensitive method for the simultaneous detection of 26 SBs in biological samples by stable isotope labeling coupled with ultra-high performance liquid chromatography tandem mass spectrometry (SIL-UHPLC-MS/MS) analysis. In this respect, a pair of isotope labeling reagents, 3-(N, N-dimethylamino)propyl isothiocyanate (DMPI) and d4-3-(N, N-dimethylamino)propyl isothiocyanate (d4-DMPI), were synthesized and utilized to label SBs in biological samples and SB standards, respectively. The d4-DMPI labeled SB standards were used as ISs to calibrate quantitation deviation in MS analysis from the biological matrix. Using the developed method, we successfully quantitated 19 SBs in cells, 20 SBs in mice feces and 18 SBs in human serum samples. Three C17-SBs used as ISs in many reported works were even found in all prepared samples. In summary, the developed SIL-UHPLC-MS/MS analysis was demonstrated to be a promising method for the simultaneous determination of multiple SBs, which could facilitate the investigation of cellular function of SBs and pathogenesis of related diseases.

4-Plex Chemical Labeling Strategy Based on Cinchona Alkaloid-Derived Primary Amines for the Analysis of Chiral Carboxylic Acids by Liquid Chromatography-Mass Spectrometry.

Chiral carboxylic acids play important roles in energy metabolism and signal transduction in the human body. These enantiomers usually possess different bioactivities and are also associated with the development of some diseases. Therefore, simultaneous determination of multiple chiral carboxylic acids is vital for study of the pathogenesis of related diseases. However, it is still challenging to simultaneously detect the enantiomers of multiple chiral carboxylic acids in biological samples. Here, we developed a novel 4-plex chemical labeling strategy based on 4 analogues of cinchona alkaloid-derived primary amines (CAPAs) for simultaneous determination of 16 enantiomers of 8 chiral carboxylic acids by liquid chromatography-mass spectrometry (LC-MS). To achieve high-throughput analysis, one CAPA analogue was used to label chiral carboxylic acid standards and served as internal standards (ISs), while the other 3 CAPA analogues were used to label endogenous chiral carboxylic acids in 3 different biological samples. After CAPAs labeling, the 16 chiral carboxylic acid enantiomers could be detected by LC-MS, and their detection sensitivity was greatly enhanced by up to 3 orders of magnitude compared to intact analytes. Further, the developed method for the determination of 16 chiral carboxylic acid enantiomers was validated in human serums and mammalian cells. Finally, the proposed method was applied to the determination of chiral carboxylic acids in the serum samples from type 2 diabetes mellitus (T2DM) and colorectal cancer (CRC) patients. We found that 5 chiral carboxylic acid enantiomers in T2DM serum samples and 4 chiral carboxylic acid enantiomers in CRC serum samples exhibited significant change compared to the healthy control (HC).

Stable isotope labeling combined with liquid chromatography-tandem mass spectrometry for comprehensive analysis of short-chain fatty acids.

Short-chain fatty acids (SCFAs) are one class of bacterial metabolites mainly formed by gut microbiota from undigested fibers and proteins. These molecules are able to mediate signal conduction processes of cells, acting as G protein-coupled receptors (GPR) activators and histone deacetylases (HDAC) inhibitors. It was reported that SCFAs were closely associated with various human diseases. However, it is still challenging to analyze SCFAs because of their diverse structures and broad range of concentrations. In this study, we developed a highly sensitive method for simultaneous detection of 34 SCFAs by stable isotope labeling coupled with ultra-high performance liquid chromatography-electrospray ionization-mass spectrometry (UHPLC-ESI-MS/MS) analysis. In this respect, a pair of isotope labeling reagents, N-(4-(aminomethyl)benzyl)aniline (4-AMBA) and N-(4-(aminomethyl)benzyl)aniline-d5 (4-AMBA-d5), were synthesized to label SCFAs from the feces of mice and SCFA standards, respectively. The 4-AMBA-d5 labeled SCFAs were used as internal standards to compensate the ionization variances resulting from matrix effect and thus minimize quantitation deviation in MS detection. After 4-AMBA labeling, the retention of SCFAs on the reversed-phase column increased and the separation resolution of isomers were improved. In addition, the MS responses of most SCFAs were enhanced by up to three orders of magnitude compared to unlabeled SCFAs. The limits of detection (LODs) of SCFAs were as low as 0.005 ng/mL. Moreover, good linearity for 34 SCFAs was obtained with the coefficient of determination (R2) ranging from 0.9846 to 0.9999 and the intra- and inter-day relative standard deviations (RSDs) were <17.8% and 15.4%, respectively, indicating the acceptable reproducibility of the developed method. Using the developed method, we successfully quantified 21 SCFAs from the feces of mice. Partial least squares discriminant analysis (PLS-DA) and t-test analysis showed that the contents of 9 SCFAs were significantly different between Alzheimer's disease (AD) and wide type (WT) mice fecal samples. Compared to WT mice, the contents of propionic acid, isobutyric acid, 3-hydroxybutyric acid, and 3-hydroxyisocaleric acid were decreased in AD mice, while lactic acid, 2-hydroxybutyric acid, 2-hydroxyisobutyric acid, levulinic acid, and valpronic acid were increased in AD mice. These significantly changed SCFAs in the feces of AD mice may afford to a better understanding of the pathogenesis of AD. Taken together, the developed UHPLC-ESI-MS/MS method could be applied for the sensitive and comprehensive determination of SCFAs from complex biological samples.

Method to Calculate the Retention Index in Hydrophilic Interaction Liquid Chromatography Using Normal Fatty Acid Derivatives as Calibrants.

Hydrophilic interaction liquid chromatography-mass spectrometry (HILIC-MS) is a complementary technique to reversed-phase liquid chromatography-mass spectrometry (RPLC-MS) and has been widely used to expand the coverage of the metabolome in MS-based metabolomics. However, the use of HILIC retention time (HILIC RT) in metabolites annotation is quite limited because of its poor reproducibility. Here, we developed a method to calculate the retention index in HILIC (HILIC RI) for calibration of HILIC RT. In this method, a mixture of 2-dimethylaminoethylamine (DMED)-labeled fatty acid standards with carbon chain length from C2 to C22 were selected as calibrants to establish a linear calibration equation between HILIC RT and carbon number for the calculation of HILIC RI. The calculated HILIC RIs based on a regression equation could efficiently calibrate the retention time shifts for 28 DMED-labeled carboxyl standards and DMED-labeled carboxyl metabolites in rat urine, serum and feces on a HILIC column with different gradient elution conditions. Furthermore, the developed HILIC RI strategy was applied to RT calibration of screened metabolites, the annotation of isomers in HILIC-MS-based metabolomics analysis for real samples, and the correction of isotope effects in chemical isotope labeling HILIC-MS analysis. Taken together, the resulting HILIC RI strategy is a promising analytical technique to improve the accuracy of metabolite annotation; it would be widely used in HILIC-MS-based metabolome analysis.

Metabolic analysis of the melatonin biosynthesis pathway using chemical labeling coupled with liquid chromatography-mass spectrometry.

Characterization of the melatonin (MLT) biosynthesis pathway in plants is still limited. Additionally, a metabolomic analysis of MLT biosynthesis in plants is still a challenge due to analyte structural and chemical diversity, low analyte abundances, and plant matrix complexities. Herein, a sensitive liquid chromatography-mass spectrometry (LC-MS) method enabling the simultaneous determination of seven plant MLT biosynthetic metabolites was developed. In the proposed strategy, the targeted metabolites, which included tryptophan (Trp), tryptamine (TAM), 5-hydroxytryptophan (5HTP), serotonin (5HT), N-acetylserotonin (NAS), 5-methoxytryptamine (5MT), and MLT, were purified from plant extracts using a one-step dispersive solid-phase extraction (DSPE). The samples were then chemically labeled with dansyl chloride (DNS-Cl), followed by analysis using LC-MS. The limit of detection (LOD) values ranged from 0.03 to 1.36 pg/mL and presented a 22- to 469-fold decrease when compared to the unlabeled metabolites. Due to the high sensitivity of the proposed method, the consumption of plant materials was reduced to 10 mg FW. Ultimately, the established method was utilized to examine the distributions of MLT and its intermediates in rice shoots and roots with or without cadmium (Cd) stress. The results suggested that under normal condition, MLT may also be generated via a Trp/TAM/5HT/5MT/MLT path (Pathway II) in addition to the previously reported Trp/TAM/5HT/NAS/MLT path (Pathway I), although Pathway I was shown to be dominant. During Cd stress, MLT was also shown to be produced through these two pathways, with Pathway II shown to be dominant in rice shoots and roots.

Cognitive impairment correlates with serum carbonyl compound profiles in subclinical carotid atherosclerosis.

Current evidence indicates that carotid atherosclerosis is an independent risk factor for cognitive impairment. Serum metabolomic analysis holds significant promise for uncovering the relationship between carotid atherosclerosis and cognitive impairment. In this study, we aimed to evaluate the profiling of serum carbonyl compounds in subclinical carotid atherosclerosis (SCA) patients and to explore the relationship between serum carbonyl compounds and cognitive performance. We enrolled 51 SCA patients and 45 healthy control individuals using carotid ultrasound assessment. All the participants were subjected to a neuropsychological assessment and their fasting serum samples were collected for untargeted stable isotope-labeling strategy combined with liquid chromatography-double precursor ion scan-mass spectrometry analysis. Compared with the control, the SCA group showed lower scores in global cognition, immediate memory, verbal fluency, executive function, and visual attention. For the isotope-labeling strategy combined with liquid chromatography-double precursor ion scan-mass spectrometry analysis, 149 potential carbonyl candidates were discovered in the pooled serum. In the SCA serum, 41 carbonyl compounds showed significantly increased levels and 14 carbonyl compounds showed significantly decreased levels. In addition, six carbonyl compounds involved in the oxidation of polyunsaturated fatty acids and vitamin E were correlated with cognitive performance. A negative correlation was observed between cognitive performance and the levels of octanal, nonanal, α-tocopherolquinone, and heptanal, respectively. A positive correlation was observed between cognitive performance and the levels of acetophenone and 1-(3-aminopropyl)-4-aminobutanal, respectively. In summary, the SCA individuals have poor cognitive performance, which may be reflected by aberrant serum carbonyl compound profiles.

Changes in Nutrient Profile and Antioxidant Activities of Different Fish Soups, Before and After Simulated Gastrointestinal Digestion.

Different kinds of freshwater fish soups show a diverse range of health functions, due to their different nutritional substances and corresponding bioactivities. In the current study, in order to learn the theoretical basis of the potential role fish soup plays in diet therapy functions, the changes of nutrient profiles and antioxidant activities in crucian carp soup and snakehead soup (before and after simulated gastrointestinal digestion) were investigated, such as chemical composition, free amino acids, mineral and fatty acid contents, DPPH radical scavenging activity, ferrous ion chelating activity, hydroxyl radical-scavenging activity and the reducing power effect. Results show that the content of mineral elements in snakehead fish soup was significantly higher than that of crucian carp soup, especially for the contents of Ca, Zn, Fe. The content of total amino acid (TAA) of crucian carp soup (82.51 mg/100 mL) was much higher than that of snakehead fish soup (47.54 mg/100 mL) (p < 0.05). Furthermore, the antioxidant capacity of crucian carp soup was stronger than that of snakehead soup. The intensive profiles of nutritional composition and antioxidant activities of these two kinds of fish soups were expected to partly provide the theoretical basis of therapeutic effects.

Establishment of Liquid Chromatography Retention Index Based on Chemical Labeling for Metabolomic Analysis.

Chemical labeling (CL) in combination with liquid chromatography-mass spectrometry (LC-MS) analysis has been demonstrated to be a promising technology in metabolomic analysis. However, identification of chemically labeled metabolites remains to be challenging. Retention time (RT) is one of the most important parameters for the identification of metabolites, but it could vary greatly in LC-MS analysis. In this work, we developed a chemical labeling-based HPLC retention index (CL-HPLC RI) strategy to facilitate the identification of metabolites. In this CL-HPLC RI strategy, a series of 2-dimethylaminoethylamine (DMED)-labeled fatty acids were used as calibrants to establish RIs for DMED-labeled carboxylated compounds and a series of 4-( N, N-dimethylamino)phenyl isothiocyanate (DMAP)-labeled fatty amines were used as calibrants for DMAP-labeled amine compunds. To calculate the RIs, the whole LC chromatogram was divided into 24 time intervals by 23 DMED-labeled fatty acid standards or 15 time intervals by 14 DMAP-labeled fatty amine standards. Then, we established the RIs of 854 detected DMED-labeled carboxylated metabolites and 1057 DMAP-labeled amine metabolites in fecal samples and demonstrated that RIs were highly reproducible under different elution gradients, columns, and instrument systems. Finally, we applied this strategy to the identification of metabolites in human serum. Using RIs, 267 DMED-labeled carboxylated metabolites and 273 DMAP-labeled amine metabolites in human serum matched well with the fecal metabolome database. Taken together, the developed CL-HPLC RI strategy was demonstrated to be a promising method to facilitate the identification of metabolites in metabolomic analysis.

Stable isotope labeling - dispersive solid phase extraction - liquid chromatography - tandem mass spectrometry for quantitative analysis of transsulfuration pathway thiols in human serum.

Low-molecular-weight thiols play important roles in a variety of pathological processes and are closely associated with a wide range of diseases. In this study, a selective and sensitive method was developed for the simultaneous determination of all the 7 thiols occurring in the transsulfuration pathway (Cysteine (Cys), homocysteine (Hcys), glutathione (GSH), N-acetylcysteine (Nac), cysteinylglycine (CysGly), glutamylcysteine (GluCys) and cysteamine (CA)) in human serum by in-vitro stable isotope labeling - dispersive solid phase extraction - liquid chromatography - tandem mass spectrometry analysis (IL-DSPE-LC-MS/MS). In the proposed method, a pair of stable isotope-labeling reagents, BQB (ω-bromoacetonylquinolinium bromide) and BQB-D7, were utilized to label thiols in human serum samples and thiol standards, respectively. The BQB labeled thiols which carry a positive charge were extracted and purified with C8-SO3H-based DSPE followed by LC-MS/MS analysis. Good linearities for 7 thiols occurring in the transsulfuration pathway were obtained with the coefficient of determination (R2) >0.9901. The limits of detection (LODs) were in the range of 0.7-6.0 nmol/L. The method was further applied to investigate the contents change of 7 thiols in human serum samples of type 2 diabetes mellitus (T2DM) patients and breast cancer (BC) patients. The results showed that the contents of these thiols occurring in the transsulfuration pathway significantly changed and were highly diseases-related. In addition, partial least squares discriminant analysis (PLS-DA) suggested excellent classification performance between patients and healthy controls. The findings indicated that these significantly changed thiols occurring in the transsulfuration pathway in T2DM patients and BC patients might serve as the indicator for the diagnosis of T2DM and BC. Taken together, the developed IL-DSPE-LC-MS/MS method provides a promising tool for the sensitive analysis of thiols from complex biological samples, which may promote the in-depth investigation of the functions of thiols.

Comprehensive Profiling of Fecal Metabolome of Mice by Integrated Chemical Isotope Labeling-Mass Spectrometry Analysis.

Gut microbiota plays important roles in the host health. The host and symbiotic gut microbiota coproduce a large number of metabolites during the metabolism of food and xenobiotics. The analysis of fecal metabolites can provide a noninvasive manner to study the outcome of the host-gut microbiota interaction. Herein, we reported the comprehensive profiling of fecal metabolome of mice by an integrated chemical isotope labeling combined with liquid chromatography-mass spectrometry (CIL-LC-MS) analysis. The metabolites are categorized into several submetabolomes based on the functional moieties (i.e., carboxyl, carbonyl, amine, and thiol) and then analysis of the individual submetabolome was performed. The combined data from the submetabolome form the metabolome with relatively high coverage. To this end, we synthesized stable isotope labeling reagents to label metabolites with different groups, including carboxyl, carbonyl, amine, and thiol groups. We detected 2302 potential metabolites, among which, 1388 could be positively or putatively identified in feces of mice. We then further confirmed 308 metabolites based on our established library of chemically labeled standards and tandem mass spectrometry analysis. With the identified metabolites in feces of mice, we established mice fecal metabolome database, which can be used to readily identify metabolites from feces of mice. Furthermore, we discovered 211 fecal metabolites exhibited significant difference between Alzheimer's disease (AD) model mice and wild type (WT) mice, which suggests the close correlation between the fecal metabolites and AD pathology and provides new potential biomarkers for the diagnosis of AD.

Stable isotope labeling-solid phase extraction-mass spectrometry analysis for profiling of thiols and aldehydes in beer.

In this study, we developed a strategy for profiling of thiols and aldehydes in beer samples by stable isotope labeling-solid phase extraction-liquid chromatography-double precursor ion scan/double neutral loss scan-mass spectrometry analysis (SIL-SPE-LC-DPIS/DNLS-MS). A pair of isotope reagents (ω-bromoacetonylquinolinium bromide, BQB; ω-bromoacetonylquinolinium-d7 bromide, BQB-d7) were used to label thiols; while for the aldehydes, a pair of isotope reagents (4-(2-(trimethylammonio) ethoxy) benzenaminium halide, 4-APC; 4-(2-(trimethylammonio) ethoxy) benzenaminium halide-d4, 4-APC-d4) were used. The labeled thiols and aldehydes were extracted and purified with solid-phase extraction, respectively, followed by LC-MS analysis. Using the proposed SIL-SPE-LC-DPIS/DNLS-MS methods, 76 thiol and 25 aldehyde candidates were found in beer. Furthermore, we established SIL-SPE-LC-MRM-MS methods for the relative quantitation of thiols and aldehydes in different beer samples. The results showed that the contents of thiols and aldehydes are closely related to the brands and origins of beers.