1
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Deng W, Ye C, Wang W, Huang R, Guo C, Pan Y, Sun C. LC-MS analysis of chiral amino acids in human urine reveals D-amino acids as potential biomarkers for colorectal cancer. J Chromatogr B Analyt Technol Biomed Life Sci 2024; 1245:124270. [PMID: 39121519 DOI: 10.1016/j.jchromb.2024.124270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Revised: 07/27/2024] [Accepted: 08/04/2024] [Indexed: 08/12/2024]
Abstract
Colorectal cancer (CRC) is a common malignant tumor in the gastrointestinal tract. Changes in amino acid metabolites have been implicated in tumorigenesis and disease progression. Biomarkers on the basis of chiral amino acids, especially D-amino acids, have not been established for early diagnosis of CRC. Quantification of chiral amino acids, especially very low concentrations of endogenous D-amino acids, is technically challenging. We report here the quantification of L- and D-amino acids in urine samples collected from 115 CRC patients and 155 healthy volunteers, using an improved method. The method of chiral labeling, liquid chromatography, and tandem mass spectrometry enabled separation and detection of 28 amino acids (14 L-amino acids, 13 D-amino acids and Gly). Orthogonal partial least squares discriminant analysis identified 14 targeted variables among these chiral amino acids that distinguished the CRC from the healthy controls. Binary logistic regression analysis revealed that D-α-aminobutyric acid (D-AABA), L-alanine (L-Ala), D-alanine (D-Ala), D-glutamine (D-Gln) and D-serine (D-Ser) could be potential biomarkers for CRC. A receiver operating characteristic curve analysis of combined multi-variables contributed to an area under the curve (AUC) of 0.995 with 98.3 % sensitivity and 96.8 % specificity. A model constructed with D-AABA, D-Ala, D-Gln, and D-Ser achieved an AUC of 0.988, indicating important contributions of D-amino acids to the association with CRC. Further analysis also demonstrated that the metabolic aberration was associated with age and the development of CRC, D-methionine (D-Met) was decreased in CRC patients with age over 50, and D/L-Gln in patients at stage IV was higher than patients at stage I. This study provides the signature of D-amino acids in urine samples and offers a promising strategy for developing non-invasive diagnosis of CRC.
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Affiliation(s)
- Wenchan Deng
- State Key Laboratory of Advanced Drug Delivery and Release Systems, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Chundan Ye
- State Key Laboratory of Advanced Drug Delivery and Release Systems, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Wei Wang
- The Second Affiliated Hospital, Zhejiang University School of Medicine, Zijingang Campus of Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Rongrong Huang
- State Key Laboratory of Advanced Drug Delivery and Release Systems, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, Zhejiang, China
| | - Cheng Guo
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310009, Zhejiang, China.
| | - Yuanjiang Pan
- Department of Chemistry, Zhejiang University, Hangzhou, Zhejiang 310027, China.
| | - Cuirong Sun
- State Key Laboratory of Advanced Drug Delivery and Release Systems, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, Zhejiang, China.
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2
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Zhang G, Ma C, He Q, Dong H, Cui L, Li L, Li L, Wang Y, Wang X. An efficient Pt@MXene platform for the analysis of small-molecule natural products. iScience 2023; 26:106622. [PMID: 37250310 PMCID: PMC10214401 DOI: 10.1016/j.isci.2023.106622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Revised: 02/01/2023] [Accepted: 03/31/2023] [Indexed: 05/31/2023] Open
Abstract
Small-molecule (m/z<500) natural products have rich biological activity and significant application value thus need to be effectively detected. Surface-assisted laser desorption/ionization mass spectrometry (SALDI MS) has become a powerful detection tool for small-molecule analysis. However, more efficient substrates need to be developed to improve the efficiency of SALDI MS. Thus, platinum nanoparticle-decorated Ti3C2 MXene (Pt@MXene) was synthesized in this study as an ideal substrate for SALDI MS in positive ion mode and exhibited excellent performance for the high-throughput detection of small molecules. Compared with using MXene, GO, and CHCA matrix, a stronger signal peak intensity and wider molecular coverage was obtained using Pt@MXene in the detection of small-molecule natural products, with a lower background, excellent salt and protein tolerance, good repeatability, and high detection sensitivity. The Pt@MXene substrate was also successfully used to quantify target molecules in medicinal plants. The proposed method has potentially wide application.
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Affiliation(s)
- Guanhua Zhang
- College of Traditional Chinese Medicine, Yunnan University of Chinese Medicine, Kunming, Yunnan 650500, China
- Key Laboratory for Applied Technology of Sophisticated Analytical Instruments of Shandong Province, Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, Shandong 250014, China
| | - Chunxia Ma
- Key Laboratory for Applied Technology of Sophisticated Analytical Instruments of Shandong Province, Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, Shandong 250014, China
| | - Qing He
- Collaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, Beijing 100083, China
| | - Hongjing Dong
- Key Laboratory for Applied Technology of Sophisticated Analytical Instruments of Shandong Province, Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, Shandong 250014, China
| | - Li Cui
- Key Laboratory for Applied Technology of Sophisticated Analytical Instruments of Shandong Province, Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, Shandong 250014, China
| | - Lili Li
- Key Laboratory for Applied Technology of Sophisticated Analytical Instruments of Shandong Province, Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, Shandong 250014, China
| | - Lingyu Li
- Key Laboratory of Food Processing Technology and Quality Control of Shandong Higher Education Institutes, College of Food Science and Engineering, Shandong Agricultural University, Taian, Shandong 271018, China
| | - Yan Wang
- College of Traditional Chinese Medicine, Yunnan University of Chinese Medicine, Kunming, Yunnan 650500, China
| | - Xiao Wang
- College of Traditional Chinese Medicine, Yunnan University of Chinese Medicine, Kunming, Yunnan 650500, China
- Key Laboratory for Applied Technology of Sophisticated Analytical Instruments of Shandong Province, Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, Shandong 250014, China
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3
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Gao S, Zhou X, Yue M, Zhu S, Liu Q, Zhao XE. Advances and perspectives in chemical isotope labeling-based mass spectrometry methods for metabolome and exposome analysis. Trends Analyt Chem 2023. [DOI: 10.1016/j.trac.2023.117022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
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4
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Meng X, Liu Y, Huo M, Yang S, Zhang X, Tian L, Li W, Wei J, Wang Z, Zhou Z, Chen Y, Wang Z, Abliz Z. Mapping of Fatty Aldehydes in the Diabetic Rat Brain Using On-Tissue Chemical Derivatization and Air-Flow-Assisted Desorption Electrospray Ionization-Mass Spectrometry Imaging. J Proteome Res 2023; 22:36-46. [PMID: 36564034 DOI: 10.1021/acs.jproteome.2c00445] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Fatty aldehydes (FALs) are involved in various biological processes, and their abnormal metabolism is related to the occurrence and development of neurological diseases. Because of their low ionization efficiency, methods for in situ detection and mass spectrometry imaging (MSI) analysis of FALs remain underreported. On-tissue chemical tagging of hardly ionizable target analytes with easily ionized moieties can improve ionization efficiency and detection sensitivity in MSI experiments. In this study, an on-tissue chemical derivatization-air-flow-assisted desorption electrospray ionization-MSI method was developed to visualize FALs in the rat brain. The method showed high sensitivity and specificity, allowing the use of in situ high-resolution MS3 to identify FALs. The methodology was applied to investigate the region-specific distribution of FALs in the brains of control and diabetic encephalopathy (DE) rats. In DE rats, FALs were found to be significantly enriched in various brain regions, especially in the cerebral cortex, hippocampus, and amygdala. Thus, increased FAL levels and oxidative stress occurred in a region-dependent manner, which may contribute to cognitive function deficits in DE. In summary, we provide a novel method for the in situ detection of FALs in biological tissues as well as new insights into the potential pathogenesis of DE.
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Affiliation(s)
- Xianyue Meng
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.,Center for Imaging and Systems Biology, College of Life and Environmental Sciences, Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081, China
| | - Yanhua Liu
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.,Center for Imaging and Systems Biology, College of Life and Environmental Sciences, Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081, China
| | - Meiling Huo
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.,Center for Imaging and Systems Biology, College of Life and Environmental Sciences, Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081, China
| | - Shu Yang
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.,Key Laboratory of Ethnomedicine of Ministry of Education, School of Pharmacy, Minzu University of China, Beijing 100081, P. R. China
| | - Xin Zhang
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.,Center for Imaging and Systems Biology, College of Life and Environmental Sciences, Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081, China
| | - Lu Tian
- New Drug Safety Evaluation Center, Chinese Academy of Medical Sciences, Beijing 100050, China
| | - Wanfang Li
- New Drug Safety Evaluation Center, Chinese Academy of Medical Sciences, Beijing 100050, China
| | - Jinfeng Wei
- New Drug Safety Evaluation Center, Chinese Academy of Medical Sciences, Beijing 100050, China
| | - Zhaoying Wang
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.,Center for Imaging and Systems Biology, College of Life and Environmental Sciences, Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081, China
| | - Zhi Zhou
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.,Center for Imaging and Systems Biology, College of Life and Environmental Sciences, Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081, China
| | - Yanhua Chen
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.,Center for Imaging and Systems Biology, College of Life and Environmental Sciences, Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081, China
| | - Zhonghua Wang
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.,Center for Imaging and Systems Biology, College of Life and Environmental Sciences, Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081, China
| | - Zeper Abliz
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.,Center for Imaging and Systems Biology, College of Life and Environmental Sciences, Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081, China.,Key Laboratory of Ethnomedicine of Ministry of Education, School of Pharmacy, Minzu University of China, Beijing 100081, P. R. China
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5
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Simultaneous Determination of Methylated Nucleosides by HILIC-MS/MS Revealed Their Alterations in Urine from Breast Cancer Patients. Metabolites 2022; 12:metabo12100973. [PMID: 36295875 PMCID: PMC9612034 DOI: 10.3390/metabo12100973] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 09/27/2022] [Accepted: 10/11/2022] [Indexed: 11/07/2022] Open
Abstract
RNA methylation plays a vital role in the pathogenesis of a variety of diseases including cancer, and aberrant levels of modified nucleosides in RNA were revealed to be related to cancer. Urine is a favored source for biomarker discovery due to the non-invasion to patients. Herein, we developed a sensitive hydrophilic interaction liquid chromatography tandem mass spectrometry (HILIC–MS/MS) method combined with stable isotope dilution for accurate quantification of methylated nucleosides in human urine. With this method, we successfully quantified ten methylated nucleosides in urine samples collected from healthy controls and breast cancer patients. We found N6-methyladenosine (m6A), 2′-O-methyladenosine (Am), N1-methyladenosine (m1A), N6,2′-O-dimethyladenosine (m6Am), N1-methylguanosine (m1G), 2′-O-methylguanosine (Gm), 5-methylcytidine (m5C) and 2′-O-methylcytidine (Cm) were all decreased in early-stage breast cancer patients, and a nomogram prediction model was constructed. Locally advanced breast cancer patients exhibited elevated levels of urinary 2′-O-methylated nucleosides in comparison to early-stage breast cancer patients. Together, we developed a robust method for the simultaneous determination of methylated nucleosides in human urine, and the results revealed an association between the contents of urinary methylated nucleosides and the occurrence of breast cancer, which may stimulate future studies about the regulatory roles of these methylated nucleosides in the initiation and progression of breast cancer.
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6
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Determination of adenosine and its modifications in urine and plasma from breast cancer patients by hydrophilic interaction liquid chromatography-tandem mass spectrometry. J Chromatogr B Analyt Technol Biomed Life Sci 2022; 1209:123428. [PMID: 36041348 DOI: 10.1016/j.jchromb.2022.123428] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 08/04/2022] [Accepted: 08/14/2022] [Indexed: 01/15/2023]
Abstract
RNA modifications have been revealed to be essential in many biological activities, and their disorders are associated with various human diseases, including cancers. 2'-O-methyladenosine (Am), N1-methyladenosine (m1A), N6-methyladenosine (m6A), N6,2'-O-dimethyladenosine (m6Am) and N6,N6-dimethyladenosine (m62A) are important adenosine (A) modifications. The noninvasive collection of urine samples and the diverse contents of metabolites in plasma make them favored biofluids for biomarkers discovery. In this work, we established a hydrophilic interaction liquid chromatography-tandem mass spectrometry (HILIC-MS/MS) method to quantify these six nucleosides in urine and plasma of healthy controls and breast cancer (BC) patients. The limit of detection (LOD) for A, Am, m1A, m6A, m6Am, and m62A were 0.0025, 0.01, 0.05, 0.005, 0.005, and 0.005 nM. The results showed that the concentrations of Am, m6A, and m6Am were increased, whereas m1A was decreased in the urine of BC patients compared with the healthy controls. We also found that the level ratios of m1A/A, m6A/A, and m6Am/A were all reduced in plasma from BC patients, compared with healthy controls. Interestingly, these ratios of methylated adenosine nucleosides to adenosine in plasma could better discriminate BC patients from healthy controls, compared to the levels of these nucleosides. The present study not only suggests these modified adenosines can act as noninvasive biomarkers of BC but also will contribute to investigating the impacts of RNA methylation on the occurrence and development of BC.
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7
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Wan Q, Chen M, Zhang Z, Yuan Y, Wang H, Hao Y, Nie W, Wu L, Chen S. Machine Learning of Serum Metabolic Patterns Encodes Asymptomatic SARS-CoV-2 Infection. Front Chem 2021; 9:746134. [PMID: 34660538 PMCID: PMC8517325 DOI: 10.3389/fchem.2021.746134] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 09/06/2021] [Indexed: 01/12/2023] Open
Abstract
Asymptomatic COVID-19 has become one of the biggest challenges for controlling the spread of the SARS-CoV-2. Diagnosis of asymptomatic COVID-19 mainly depends on quantitative reverse transcription PCR (qRT-PCR), which is typically time-consuming and requires expensive reagents. The application is limited in countries that lack sufficient resources to handle large-scale assay during the COVID-19 outbreak. Here, we demonstrated a new approach to detect the asymptomatic SARS-CoV-2 infection using serum metabolic patterns combined with ensemble learning. The direct patterns of metabolites and lipids were extracted by matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) within 1 s with simple sample preparation. A new ensemble learning model was developed using stacking strategy with a new voting algorithm. This approach was validated in a large cohort of 274 samples (92 asymptomatic COVID-19 and 182 healthy control), and provided the high accuracy of 93.4%, with only 5% false negative and 7% false positive rates. We also identified a biomarker panel of ten metabolites and lipids, as well as the altered metabolic pathways during asymptomatic SARS-CoV-2 Infection. The proposed rapid and low-cost approach holds promise to apply in the large-scale asymptomatic COVID-19 screening.
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Affiliation(s)
- Qiongqiong Wan
- The Institute for Advanced Studies, Wuhan University, Wuhan, China
| | - Moran Chen
- The Institute for Advanced Studies, Wuhan University, Wuhan, China
| | - Zheng Zhang
- School of Life Sciences, Central China Normal University, Wuhan, China
| | - Yu Yuan
- Hubei Key Laboratory of Environmental Health (Incubating), Department of Occupational and Environmental Health, Huazhong University of Science and Technology, Wuhan, China
| | - Hao Wang
- Hubei Key Laboratory of Environmental Health (Incubating), Department of Occupational and Environmental Health, Huazhong University of Science and Technology, Wuhan, China
| | - Yanhong Hao
- The Institute for Advanced Studies, Wuhan University, Wuhan, China
| | - Wenjing Nie
- The Institute for Advanced Studies, Wuhan University, Wuhan, China
| | - Liang Wu
- The Institute for Advanced Studies, Wuhan University, Wuhan, China
| | - Suming Chen
- The Institute for Advanced Studies, Wuhan University, Wuhan, China
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8
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Wang C, Deng Z, Zhang H, Liu R, Lv Y. Old commercialized magnetic particles new trick: Intrinsic internal standard. CHINESE CHEM LETT 2021. [DOI: 10.1016/j.cclet.2021.07.049] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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9
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Zheng J, Gong GG, Zheng SJ, Zhang Y, Feng YQ. High Coverage Profiling of Carboxylated Metabolites in HepG2 Cells Using Secondary Amine-Assisted Ultrahigh-Performance Liquid Chromatography Coupled to High-Resolution Mass Spectrometry. Anal Chem 2021; 93:1604-1611. [PMID: 33356171 DOI: 10.1021/acs.analchem.0c04048] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
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.
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Affiliation(s)
- Jie Zheng
- Department of Chemistry, Wuhan University, Wuhan 430072, P.R. China
| | - Ge-Ge Gong
- Department of Chemistry, Wuhan University, Wuhan 430072, P.R. China
| | - Shu-Jian Zheng
- Department of Chemistry, Wuhan University, Wuhan 430072, P.R. China
| | - Yu Zhang
- Department of Chemistry, Wuhan University, Wuhan 430072, P.R. China
| | - Yu-Qi Feng
- Department of Chemistry, Wuhan University, Wuhan 430072, P.R. China.,Frontier Science Center for Immunology and Metabolism, Wuhan University, Wuhan 430072, P.R. China
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David V, Moldoveanu SC, Galaon T. Derivatization procedures and their analytical performances for HPLC determination in bioanalysis. Biomed Chromatogr 2020; 35:e5008. [PMID: 33084080 DOI: 10.1002/bmc.5008] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2020] [Revised: 10/09/2020] [Accepted: 10/12/2020] [Indexed: 02/06/2023]
Abstract
Derivatization, or chemical structure modification, is often used in bioanalysis performed by liquid chromatography technique in order to enhance detectability or to improve the chromatographic performance for the target analytes. The derivatization process is discussed according to the analytical procedure used to achieve the reaction between the reagent and the target compounds (containing hydroxyl, thiol, amino, carbonyl and carboxyl as the main functional groups involved in derivatization). Important procedures for derivatization used in bioanalysis are in situ or based on extraction processes (liquid-liquid, solid-phase and related techniques) applied to the biomatrix. In the review, chiral, isotope-labeling, hydrophobicity-tailored and post-column derivatizations are also included, based on representative publications in the literature during the last two decades. Examples of derivatization reagents and brief reaction conditions are included, together with some bioanalytical applications and performances (chromatographic conditions, detection limit, stability and sample biomatrix).
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Affiliation(s)
- Victor David
- Faculty of Chemistry, Department of Analytical Chemistry, University of Bucharest, Bucharest, Romania
| | | | - Toma Galaon
- National Research and Development Institute for Industrial Ecology - ECOIND, Bucharest-6, Romania
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