1
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Vallamkonda B, Sethi S, Satti P, Das DK, Yadav S, Vashistha VK. Enantiomeric Analysis of Chiral Drugs Using Mass Spectrometric Methods: A Comprehensive Review. Chirality 2024; 36:e23705. [PMID: 39105272 DOI: 10.1002/chir.23705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2024] [Revised: 07/03/2024] [Accepted: 07/09/2024] [Indexed: 08/07/2024]
Abstract
Chirality plays a crucial role in the drug development process, influencing fundamental chemical and biochemical processes and significantly affecting our daily lives. This review provides a comprehensive examination of mass spectrometric (MS) methods for the enantiomeric analysis of chiral drugs. It thoroughly investigates MS-hyphenated techniques, emphasizing their critical role in achieving enantioselective analysis. Furthermore, it delves into the intricate chiral recognition mechanisms inherent in MS, elucidating the fundamental principles that govern successful chiral separations. By critically assessing the obstacles and potential benefits associated with each MS-based method, this review offers valuable insights for researchers navigating the complexities of chiral analysis. Both qualitative and quantitative approaches are explored, presenting a comparative analysis of their strengths and limitations. This review is aimed at significantly enhancing the understanding of chiral MS methods, serving as a crucial resource for researchers and practitioners engaged in enantioselective studies.
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Affiliation(s)
- Bhaskar Vallamkonda
- Department of Pharmaceutical Science, VIGNAN'S Foundation for Science, Technology & Research, Guntur, Andhra Pradesh, India
| | - Sonika Sethi
- Department of Chemistry, GD Goenka University, Gurugram, Haryana, India
| | - PhanikumarReddy Satti
- Department of Chemistry, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India
| | | | - Suman Yadav
- Department of Chemistry, Swami Shraddhanand College, University of Delhi, Delhi, India
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2
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Chalet C, Rathahao-Paris E, Alves S. Single ion mobility monitoring (SIM 2) stitching method for high-throughput and high ion mobility resolution chiral analysis. Anal Bioanal Chem 2024; 416:4581-4589. [PMID: 38935145 PMCID: PMC11294385 DOI: 10.1007/s00216-024-05399-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 05/30/2024] [Accepted: 06/06/2024] [Indexed: 06/28/2024]
Abstract
Chiral analysis is of high interest in many fields such as chemistry, pharmaceuticals and metabolomics. Mass spectrometry and ion mobility spectrometry are useful analytical tools, although they cannot be used as stand-alone methods. Here, we propose an efficient strategy for the enantiomer characterization of amino acids (AAs) using non-covalent copper complexes. A single ion mobility monitoring (SIM2) method was applied on a TIMS-ToF mass spectrometer to maximize the detection and mobility separation of isomers. Almost all of the 19 pairs of proteinogenic AA enantiomers could be separated with at least one combination with the chiral references L-Phe and L-Pro. Furthermore, we extended the targeted SIM2 method by stitching several mobility ranges, in order to be able to analyze complex mixtures in a single acquisition while maintaining high mobility resolution. Most of the enantiomeric pairs of AAs separated with the SIM2 method were also detected with this approach. The SIM2 stitching method thus opens the way to a more comprehensive chiral analysis with TIMS-ToF instruments.
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Affiliation(s)
- Clément Chalet
- Sorbonne Université, Faculté des Sciences et de l'Ingénierie, Institut Parisien de Chimie Moléculaire (IPCM), Paris, France
| | - Estelle Rathahao-Paris
- Sorbonne Université, Faculté des Sciences et de l'Ingénierie, Institut Parisien de Chimie Moléculaire (IPCM), Paris, France.
- Université Paris-Saclay, CEA, INRAE, Médicaments et Technologies pour la Santé (MTS), Gif-sur-Yvette, France.
| | - Sandra Alves
- Sorbonne Université, Faculté des Sciences et de l'Ingénierie, Institut Parisien de Chimie Moléculaire (IPCM), Paris, France.
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3
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Zhang H, Lu KH, Ebbini M, Huang P, Lu H, Li L. Mass spectrometry imaging for spatially resolved multi-omics molecular mapping. NPJ IMAGING 2024; 2:20. [PMID: 39036554 PMCID: PMC11254763 DOI: 10.1038/s44303-024-00025-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 06/21/2024] [Indexed: 07/23/2024]
Abstract
The recent upswing in the integration of spatial multi-omics for conducting multidimensional information measurements is opening a new chapter in biological research. Mapping the landscape of various biomolecules including metabolites, proteins, nucleic acids, etc., and even deciphering their functional interactions and pathways is believed to provide a more holistic and nuanced exploration of the molecular intricacies within living systems. Mass spectrometry imaging (MSI) stands as a forefront technique for spatially mapping the metabolome, lipidome, and proteome within diverse tissue and cell samples. In this review, we offer a systematic survey delineating different MSI techniques for spatially resolved multi-omics analysis, elucidating their principles, capabilities, and limitations. Particularly, we focus on the advancements in methodologies aimed at augmenting the molecular sensitivity and specificity of MSI; and depict the burgeoning integration of MSI-based spatial metabolomics, lipidomics, and proteomics, encompassing the synergy with other imaging modalities. Furthermore, we offer speculative insights into the potential trajectory of MSI technology in the future.
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Affiliation(s)
- Hua Zhang
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI 53705 USA
| | - Kelly H. Lu
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53706 USA
| | - Malik Ebbini
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI 53705 USA
| | - Penghsuan Huang
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53706 USA
| | - Haiyan Lu
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI 53705 USA
| | - Lingjun Li
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI 53705 USA
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53706 USA
- Lachman Institute for Pharmaceutical Development, School of Pharmacy, University of Wisconsin-Madison, Madison, WI 53705 USA
- Wisconsin Center for NanoBioSystems, School of Pharmacy, University of Wisconsin-Madison, Madison, WI 53705 USA
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4
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Guo L, Xie C, Miao R, Xu J, Xu X, Fang J, Wang X, Liu W, Liao X, Wang J, Dong J, Cai Z. DeepION: A Deep Learning-Based Low-Dimensional Representation Model of Ion Images for Mass Spectrometry Imaging. Anal Chem 2024; 96:3829-3836. [PMID: 38377545 PMCID: PMC10918617 DOI: 10.1021/acs.analchem.3c05002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 01/27/2024] [Accepted: 02/03/2024] [Indexed: 02/22/2024]
Abstract
Mass spectrometry imaging (MSI) is a high-throughput imaging technique capable of the qualitative and quantitative in situ detection of thousands of ions in biological samples. Ion image representation is a technique that produces a low-dimensional vector embedded with significant spectral and spatial information on an ion image, which further facilitates the distance-based similarity measurement for the identification of colocalized ions. However, given the low signal-to-noise ratios inherent in MSI data coupled with the scarcity of annotated data sets, achieving an effective ion image representation for each ion image remains a challenge. In this study, we propose DeepION, a novel deep learning-based method designed specifically for ion image representation, which is applied to the identification of colocalized ions and isotope ions. In DeepION, contrastive learning is introduced to ensure that the model can generate the ion image representation in a self-supervised manner without manual annotation. Since data augmentation is a crucial step in contrastive learning, a unique data augmentation strategy is designed by considering the characteristics of MSI data, such as the Poisson distribution of ion abundance and a random pattern of missing values, to generate plentiful ion image pairs for DeepION model training. Experimental results of rat brain tissue MSI show that DeepION outperforms other methods for both colocalized ion and isotope ion identification, demonstrating the effectiveness of ion image representation. The proposed model could serve as a crucial tool in the biomarker discovery and drug development of the MSI technique.
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Affiliation(s)
- Lei Guo
- Interdisciplinary
Institute of Medical Engineering, Fuzhou
University, Fuzhou 350108, China
| | - Chengyi Xie
- State
Key Laboratory of Environmental and Biological Analysis, Hong Kong Baptist University, Hong Kong SAR 999077, China
- Department
of Chemistry, Hong Kong Baptist University, Hong Kong SAR 999077, China
| | - Rui Miao
- Department
of Electronic Science, National Institute for Data Science in Health
and Medicine, Xiamen University, Xiamen 361005, China
| | - Jingjing Xu
- Department
of Electronic Science, National Institute for Data Science in Health
and Medicine, Xiamen University, Xiamen 361005, China
| | - Xiangnan Xu
- School
of Business and Economics, Humboldt-Universitat
zu Berlin, Berlin 10099, Germany
| | - Jiacheng Fang
- State
Key Laboratory of Environmental and Biological Analysis, Hong Kong Baptist University, Hong Kong SAR 999077, China
| | - Xiaoxiao Wang
- State
Key Laboratory of Environmental and Biological Analysis, Hong Kong Baptist University, Hong Kong SAR 999077, China
| | - Wuping Liu
- International
Joint Research Center for Medical Metabolomics, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha 410008, China
| | - Xiangwen Liao
- Interdisciplinary
Institute of Medical Engineering, Fuzhou
University, Fuzhou 350108, China
| | - Jianing Wang
- State
Key Laboratory of Environmental and Biological Analysis, Hong Kong Baptist University, Hong Kong SAR 999077, China
| | - Jiyang Dong
- Department
of Electronic Science, National Institute for Data Science in Health
and Medicine, Xiamen University, Xiamen 361005, China
| | - Zongwei Cai
- State
Key Laboratory of Environmental and Biological Analysis, Hong Kong Baptist University, Hong Kong SAR 999077, China
- Department
of Chemistry, Hong Kong Baptist University, Hong Kong SAR 999077, China
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5
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Jaag S, Valadbeigi Y, Causon T, Gross H, Lämmerhofer M. Three-Minute Enantioselective Amino Acid Analysis by Ultra-High-Performance Liquid Chromatography Drift Tube Ion Mobility-Mass Spectrometry Using a Chiral Core-Shell Tandem Column Approach. Anal Chem 2024; 96:2666-2675. [PMID: 38297457 PMCID: PMC10867800 DOI: 10.1021/acs.analchem.3c05426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 01/17/2024] [Accepted: 01/19/2024] [Indexed: 02/02/2024]
Abstract
Fast liquid chromatography (LC) amino acid enantiomer separation of 6-aminoquinolyl-N-hydroxysuccinimidyl carbamate (AQC) derivatives using a chiral core-shell particle tandem column with weak anion exchange and zwitterionic-type quinine carbamate selectors in less than 3 min was achieved. Enantiomers of all AQC-derivatized proteinogenic amino acids and some isomeric ones (24 in total plus achiral glycine) were baseline separated (Rs > 1.5 except for glutamic acid with Rs = 1.3), while peaks of distinct amino acids and structural isomers (constitutional isomers and diastereomers of leucine and threonine) of the same configuration overlapped to various degrees. For this reason, drift tube ion mobility-mass spectrometry was added (i.e., LC-IM-MS) as an additional selectivity filter without extending run time. The IM separation dimension in combination with high-resolution demultiplexing enabled confirmation of threonine isomers (threonine, allo-threonine, homoserine), while leucine, isoleucine, and allo-isoleucine have almost identical collisional cross-section (DTCCSN2) values and added no selectivity to the partial LC separation. Density functional theory (DFT) calculations show that IM separation of threonine isomers was possible due to conformational stabilization by hydrogen bond formation between the hydroxyl side chain and the urea group. Generally, the CCSN2 of protonated ions increased uniformly with addition of the AQC label, while outliers could be explained by consideration of intramolecular interactions and additional structural analysis. Preliminary validation of the enantioselective LC-IM-MS method for quantitative analysis showed compliance of accuracy and precision with common limits in bioanalytical methods, and applicability to a natural lipopeptide and a therapeutic synthetic peptide could be demonstrated.
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Affiliation(s)
- Simon
Jonas Jaag
- Pharmaceutical
(Bio-)Analysis, Institute of Pharmaceutical Sciences, University of Tuebingen, Auf der Morgenstelle 8, 72076 Tuebingen, Germany
| | - Younes Valadbeigi
- Department
of Chemistry, Faculty of Science, Imam Khomeini
International University, Nowrouzian, 3414896818 Qazvin, Iran
| | - Tim Causon
- University
of Natural Resources and Life Sciences, Vienna Department of Chemistry, Institute of Analytical Chemistry, Muthgasse 18, 1190 Vienna, Austria
| | - Harald Gross
- Pharmaceutical
Biology, Institute of Pharmaceutical Sciences, University of Tuebingen, Auf der Morgenstelle 8, 72076 Tuebingen, Germany
| | - Michael Lämmerhofer
- Pharmaceutical
(Bio-)Analysis, Institute of Pharmaceutical Sciences, University of Tuebingen, Auf der Morgenstelle 8, 72076 Tuebingen, Germany
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6
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Liu C, Wu Y, Li M, Liu F, Kong P, Yang H, Liu X. Enantiomer-Specific Colorimetric Tandem Assays for Salivary d-Alanine Associated with Gastric Cancer. Anal Chem 2024; 96:1906-1912. [PMID: 38251936 DOI: 10.1021/acs.analchem.3c04017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Abstract
Salivary d-alanine (d-Ala) and d-proline (d-Pro) are of concern for their potential in the noninvasive diagnosis of gastric cancer (GC). Most reports have succeeded in determining the total concentration of d-Ala and d-Pro. However, for personalized diagnosis and better elucidation of the underlying specific correlation of d-Ala (or d-Pro) with GC, it is desirable to determine the specific concentration of d-Ala or d-Pro. Herein, we propose an enantiomer-specific tandem assay of d-Ala based on the colorimetric reaction between 2,4-dinitrophenylhydrazine and pyruvic acid generated from the deamination of d-Ala catalyzed by d-amino acid oxidase, which is easily distinguished from l-form amino acids, d-Pro, and many other species. A linear concentration range is established from 20 to 400 μmol/L with a limit of detection of 1.01 μmol/L. Real saliva sample tests reveal that the levels of d-Ala in GC cases are remarkably higher than those in healthy individuals, which offers a simple and low-cost strategy for GC diagnosis. Simultaneously, the total concentrations of d-Ala and d-Pro in saliva are determined. Hence, the concentration of d-Pro and the proportion of d-Ala could be calculated, which further provides more molecule- and individual-specific information. This research may offer a convenient method for noninvasive diagnosis of GC and pave a new route to explore the potentials of rare d-form amino acids in disease diagnosis and treatment.
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Affiliation(s)
- Chang Liu
- The Education Ministry Key Lab of Resource Chemistry, Shanghai Frontiers Science Center of Biomimetic Catalysis, College of Chemistry and Materials Science, Shanghai Normal University, Shanghai 200234, China
| | - Yanan Wu
- The Education Ministry Key Lab of Resource Chemistry, Shanghai Frontiers Science Center of Biomimetic Catalysis, College of Chemistry and Materials Science, Shanghai Normal University, Shanghai 200234, China
| | - Mengying Li
- The Education Ministry Key Lab of Resource Chemistry, Shanghai Frontiers Science Center of Biomimetic Catalysis, College of Chemistry and Materials Science, Shanghai Normal University, Shanghai 200234, China
| | - Fang Liu
- The Education Ministry Key Lab of Resource Chemistry, Shanghai Frontiers Science Center of Biomimetic Catalysis, College of Chemistry and Materials Science, Shanghai Normal University, Shanghai 200234, China
| | - Pengfei Kong
- Department of Gastric Surgery, Precision Cancer Medicine Center, Fudan University Shanghai Cancer Center, Shanghai 200032, China
| | - Haifeng Yang
- The Education Ministry Key Lab of Resource Chemistry, Shanghai Frontiers Science Center of Biomimetic Catalysis, College of Chemistry and Materials Science, Shanghai Normal University, Shanghai 200234, China
| | - Xinling Liu
- The Education Ministry Key Lab of Resource Chemistry, Shanghai Frontiers Science Center of Biomimetic Catalysis, College of Chemistry and Materials Science, Shanghai Normal University, Shanghai 200234, China
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7
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Zhu Z, Xu S, Wang Z, Delafield DG, Rigby MJ, Lu G, Gu TJ, Liu PK, Ma M, Puglielli L, Li L. CHRISTMAS: Chiral Pair Isobaric Labeling Strategy for Multiplexed Absolute Quantitation of Enantiomeric Amino Acids. Anal Chem 2023; 95:18504-18513. [PMID: 38033201 PMCID: PMC10872458 DOI: 10.1021/acs.analchem.3c03847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2023]
Abstract
Amino acids (AAs) in the d-form are involved in multiple pivotal neurological processes, although their l-enantiomers are most commonly found. Mass spectrometry-based analysis of low-abundance d-AAs has been hindered by challenging enantiomeric separation from l-AAs, low sensitivity for detection, and lack of suitable internal standards for accurate quantification. To address these critical gaps, N,N-dimethyl-l-leucine (l-DiLeu) tags are first validated as novel chiral derivatization reagents for chromatographic separation of 20 pairs of d/l-AAs, allowing the construction of a 4-plex isobaric labeling strategy for enantiomer-resolved quantification through single step tagging. Additionally, the creative design of N,N-dimethyl-d-leucine (d-DiLeu) reagents offers an alternative approach to generate analytically equivalent internal references of d-AAs using d-DiLeu-labeled l-AAs. By labeling cost-effective l-AA standards using paired d- and l-DiLeu, this approach not only enables absolute quantitation of both d-AAs and l-AAs from complex biological matrices with enhanced precision but also significantly boosts the combined signal intensities from all isobaric channels, greatly improving the detection and quantitation of low-abundance AAs, particularly d-AAs. We term this quantitative strategy CHRISTMAS, which stands for chiral pair isobaric labeling strategy for multiplexed absolute quantitation. Leveraging the ion mobility collision cross section (CCS) alignment, interferences from coeluting isomers/isobars are effectively filtered out to provide improved quantitative accuracy. From wild-type and Alzheimer's disease (AD) mouse brains, we successfully quantified 20 l-AAs and 5 d-AAs. The significant presence and differential trends of certain d-AAs compared to those of their l-counterparts provide valuable insights into the involvement of d-AAs in aging, AD progression, and neurodegeneration.
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Affiliation(s)
- Zhijun Zhu
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Shuling Xu
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Zicong Wang
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Daniel G. Delafield
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Michael J. Rigby
- Department of Medicine, University of Wisconsin-Madison, Madison, WI 53705, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA
- Neuroscience Training Program, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Gaoyuan Lu
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Ting-Jia Gu
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Peng-Kai Liu
- Biophysics Program, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Min Ma
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Luigi Puglielli
- Department of Medicine, University of Wisconsin-Madison, Madison, WI 53705, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA
- Geriatric Research Education Clinical Center, Veterans Affairs Medical Center, Madison, WI 53705, USA
| | - Lingjun Li
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI 53706, USA
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI 53705, USA
- Lachman Institute for Pharmaceutical Development, School of Pharmacy, University of Wisconsin-Madison, Madison, WI 53705, USA
- Wisconsin Center for NanoBioSystems, School of Pharmacy, University of Wisconsin-Madison, Madison, WI 53705, USA
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8
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Liu X, Wu Y, Guo L, Wang X, Shan C, Liu Y, An H, Kang X, Ding R, Cai Z, Dong J, Zhao Y, Gao X. Comprehensive Profiling of Amine-Containing Metabolite Isomers with Chiral Phosphorus Reagents. Anal Chem 2023; 95:16830-16839. [PMID: 37943818 DOI: 10.1021/acs.analchem.3c02325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2023]
Abstract
Metabolite isomers play diverse and crucial roles in various metabolic processes. However, in untargeted metabolomics analysis, it remains a great challenge to distinguish between the constitutional isomers and enantiomers of amine-containing metabolites due to their similar chemical structures and physicochemical properties. In this work, the triplex stable isotope N-phosphoryl amino acids labeling (SIPAL) is developed to identify and relatively quantify the amine-containing metabolites and their isomers by using chiral phosphorus reagents coupled with high-resolution tandem mass spectroscopy. The constitutional isomers could be effectively distinguished with stereo isomers by using the diagnosis ions in MS/MS spectra. The in-house software MS-Isomerism has been parallelly developed for high-throughput screening and quantification. The proposed strategy enables the unbiased detection and relative quantification of isomers of amine-containing metabolites. Based on the characteristic triplet peaks with SIPAL tags, a total of 854 feature peaks with 154 isomer groups are successfully recognized as amine-containing metabolites in liver cells, in which 37 amine-containing metabolites, including amino acids, polyamines, and small peptides, are found to be significantly different between liver cancer cells and normal cells. Notably, it is the first time to identify S-acetyl-glutathione as an endogenous metabolite in liver cells. The SIPAL strategy could provide spectacular insight into the chemical structures and biological functions of the fascinating amine-containing metabolite isomers. The feasibility of SIPAL in isomeric metabolomics analysis may reach a deeper understanding of the mirror-chemistry in life and further advance the discovery of novel biomarkers for disease diagnosis.
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Affiliation(s)
- Xingxing Liu
- Department of Electronic Science, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen 361005, China
- State Key Laboratory of Cellular Stress Biology, School of Pharmaceutical Sciences, Xiamen University, Xiamen 361102, China
| | - Yifan Wu
- State Key Laboratory of Cellular Stress Biology, School of Pharmaceutical Sciences, Xiamen University, Xiamen 361102, China
| | - Lei Guo
- Department of Electronic Science, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen 361005, China
| | - Xiaoyu Wang
- State Key Laboratory of Cellular Stress Biology, School of Pharmaceutical Sciences, Xiamen University, Xiamen 361102, China
- Department of Chemistry, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Changkai Shan
- Department of Chemistry, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
| | - Yaru Liu
- Department of Electronic Science, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen 361005, China
| | - Hanxiang An
- Xiang'an Hospital of Xiamen University, Xiamen University, Xiamen 361102, China
| | - Xinmei Kang
- Xiang'an Hospital of Xiamen University, Xiamen University, Xiamen 361102, China
| | - Rong Ding
- State Key Laboratory of Cellular Stress Biology, School of Pharmaceutical Sciences, Xiamen University, Xiamen 361102, China
| | - Zongwei Cai
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong, SAR 999077, China
| | - Jiyang Dong
- Department of Electronic Science, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen 361005, China
| | - Yufen Zhao
- Department of Chemistry, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China
- Institute of Drug Discovery Technology, Ningbo University, Ningbo 315221, China
| | - Xiang Gao
- State Key Laboratory of Cellular Stress Biology, School of Pharmaceutical Sciences, Xiamen University, Xiamen 361102, China
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9
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Sugiyama E, Nishiya Y, Yamashita K, Hirokawa R, Iinuma Y, Nirasawa T, Mizuno H, Hamashima Y, Todoroki K. Charged chiral derivatization for enantioselective imaging of D-,L-2-hydroxyglutaric acid using ion mobility spectrometry/mass spectrometry. Chem Commun (Camb) 2023; 59:10916-10919. [PMID: 37606059 DOI: 10.1039/d3cc01963b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/23/2023]
Abstract
A newly synthesized charged chiral tag-enabled enantioselective imaging of D-,L-2-hydroxyglutaric acid, which are independently associated with the regulation of DNA methylation. The tag-conjugated diastereomers were ionized efficiently through MALDI, separated by ion mobility spectrometry, and further separated from other molecules in mass spectrometry. On-tissue chiral derivatization using the tag facilitated the visualization of different distributions of the two isomers in the mouse testis.
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Affiliation(s)
- Eiji Sugiyama
- School of Pharmaceutical Sciences, University of Shizuoka, 52-1 Yada, Suruga-ku, Shizuoka, 422-8526, Japan.
| | - Yuki Nishiya
- School of Pharmaceutical Sciences, University of Shizuoka, 52-1 Yada, Suruga-ku, Shizuoka, 422-8526, Japan.
| | - Kenji Yamashita
- School of Pharmaceutical Sciences, University of Shizuoka, 52-1 Yada, Suruga-ku, Shizuoka, 422-8526, Japan.
| | - Ryo Hirokawa
- School of Pharmaceutical Sciences, University of Shizuoka, 52-1 Yada, Suruga-ku, Shizuoka, 422-8526, Japan.
| | - Yoshiteru Iinuma
- Okinawa Institute of Science and Technology Graduate University, 1919-1 Tancha, Onna-son, Kunigami-gun, Okinawa, 904-0495, Japan
| | - Takashi Nirasawa
- Daltonics Division, Bruker Japan K.K., Moriyacho Kanagawa-ku, Yokohama-shi, Kanagawa 221-0022, Japan
| | - Hajime Mizuno
- School of Pharmaceutical Sciences, University of Shizuoka, 52-1 Yada, Suruga-ku, Shizuoka, 422-8526, Japan.
- Laboratory of Analytical Chemistry, Faculty of Pharmacy, Meijo University, 150 Yagotoyama, Tempaku, Nagoya, 468-8503, Japan
| | - Yoshitaka Hamashima
- School of Pharmaceutical Sciences, University of Shizuoka, 52-1 Yada, Suruga-ku, Shizuoka, 422-8526, Japan.
| | - Kenichiro Todoroki
- School of Pharmaceutical Sciences, University of Shizuoka, 52-1 Yada, Suruga-ku, Shizuoka, 422-8526, Japan.
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10
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Xu L, Wang Q, Liu Y, Fu S, Zhao Y, Huang S, Huang B. 19F NMR enantiodiscrimination and diastereomeric purity determination of amino acids, dipeptides, and amines. Analyst 2023; 148:4548-4556. [PMID: 37594386 DOI: 10.1039/d3an00761h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/19/2023]
Abstract
Chiral amino-group compounds are of significance for human health, such as biogenic amino acids (AAs), dipeptides, and even various drugs. Enantiospecific discrimination of these chiral compounds is vital in diagnosing diseases, identifying pathological biomarkers and enhancing pharmaceutical chemistry research. Here, we report a simple and rapid 19F NMR-based strategy to differentiate chiral AAs, dipeptides, and amines, that were derivatized with (R)-2-(2-fluorophenyl)-2-hydroxyacetic acid ((R)-2FHA). As a result, 19 proteinogenic AAs (37 isomers) as well as Gly could be concurrently resolved. Moreover, various mirror-image dipeptides, such as Ser-His, Leu-Leu, and Ala-Ala, were commendably recognized. Intriguingly, we found that the absolute configuration of AAs in the N-terminus of dipeptides decided the relative 19F chemical shifts between two enantiomers. Besides, the ability of this method for enantiodiscrimination was further demonstrated by non-AA amines, including aromatic and aliphatic amines, and even amines having chiral centers several carbons away from the amino-group. The structurally similar antibiotics, amoxicillin and ampicillin, were well discriminated. Furthermore, this method accurately determines the de or dr values of non-racemic mixtures. Therefore, our strategy provides an effective approach for 19F NMR-based enantiodiscrimination and diastereomeric purity determination of amino-group compounds.
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Affiliation(s)
- Lihua Xu
- Institute of Drug Discovery Technology, Ningbo University, Ningbo, 315211, P.R. China.
| | - Qiong Wang
- College of Chemistry, Shandong Normal University, Jinan, 250014, P.R. China
| | - Yan Liu
- Department of Chemical Biology, College of Chemistry and Chemical Engineering, and the Key Laboratory for Chemical Biology of Fujian Province, Xiamen University, Xiamen, 361005, P.R. China
| | - Songsen Fu
- Institute of Drug Discovery Technology, Ningbo University, Ningbo, 315211, P.R. China.
| | - Yufen Zhao
- Institute of Drug Discovery Technology, Ningbo University, Ningbo, 315211, P.R. China.
- Department of Chemical Biology, College of Chemistry and Chemical Engineering, and the Key Laboratory for Chemical Biology of Fujian Province, Xiamen University, Xiamen, 361005, P.R. China
- Key Lab of Bioorganic Phosphorus Chemistry & Chemical Biology, Department of Chemistry, Tsinghua University, Beijing, 100084, P.R. China
| | - Shaohua Huang
- Institute of Drug Discovery Technology, Ningbo University, Ningbo, 315211, P.R. China.
| | - Biling Huang
- Institute of Drug Discovery Technology, Ningbo University, Ningbo, 315211, P.R. China.
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11
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Zhong Y, Chen Y, Chen L, Hu Y, Xiao X, Xia L, Li G. Chiral-Controlled Cyclic Chemiluminescence Reactions for the Analysis of Enantiomer Amino Acids. Anal Chem 2023; 95:6971-6979. [PMID: 37068187 DOI: 10.1021/acs.analchem.3c00362] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/19/2023]
Abstract
The similarity and complexity of chiral amino acids (AAs) in complex samples remain a significant challenge in their analysis. In this work, the chiral metal-organic framework (MOF)-controlled cyclic chemiluminescence (CCL) reaction is developed and utilized in the analysis of enantiomer AAs. The chiral MOF of d-Co0.75Zn0.25-MOF-74 is designed and prepared by modifying the Co0.75Zn0.25-MOF-74 with d-tartaric acid. The developed chiral bimetallic MOF can not only offer the chiral recognize sites but also act as the catalyst in the cyclic luminol-H2O2 reaction. Moreover, a distinguishable CCL signal can be obtained on enantiomer AAs via the luminol-H2O2 reaction with the control of d-Co0.75Zn0.25-MOF-74. The amplified difference of enantiomer AAs can be quantified by the decay coefficient (k-values) which are calculated from the exponential decay fitting of their obtained CCL signals. According to simulation results, the selective recognition of 19 pairs of AAs is controlled by the pore size of the MOF-74 and their hydrogen-bond interaction with d-tartaric acid on the chiral MOF. Furthermore, the k-values can also be used to estimate the change of chiral AAs in complex samples. Consequently, this chiral MOF-controlled CCL reaction is applied to differentiate enantiomer AAs involved in the quality monitoring of dairy products and auxiliary diagnosis, which provides a new approach for chiral studies and their potential applications.
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Affiliation(s)
- Yanhui Zhong
- School of Chemistry, Sun Yat-sen University, Guangzhou 510006, China
| | - Yanlong Chen
- School of Chemistry, Sun Yat-sen University, Guangzhou 510006, China
| | - Linyuan Chen
- School of Chemistry, Sun Yat-sen University, Guangzhou 510006, China
| | - Yufei Hu
- School of Chemistry, Sun Yat-sen University, Guangzhou 510006, China
| | - Xiaohua Xiao
- School of Chemistry, Sun Yat-sen University, Guangzhou 510006, China
| | - Ling Xia
- School of Chemistry, Sun Yat-sen University, Guangzhou 510006, China
| | - Gongke Li
- School of Chemistry, Sun Yat-sen University, Guangzhou 510006, China
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12
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Wang X, Sun X, Jin Y, Cheng S, Han Y, Zhang M, Zhang L, Li XL, Xu CY, Min JZ. Development and evaluation of a novel fluorescent chiral derivatization reagent DBD-S-M-Pro: first observation of four chiral amino acids in human hair. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 15:884-895. [PMID: 36723074 DOI: 10.1039/d2ay02111k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
This study reports a novel fluorescent chiral derivatization reagent, 4-(N,N-dmethylaminosulfonyl)-2,1,3-benzoxadiazole-(2-succinimidoxy)-trans-2-methyl-L-proline (DBD-S-M-Pro), with a benzoxadiazole structure containing an N-hydroxysuccinimide activation group. DBD-S-M-Pro targets chiral amino-functional compounds under alkaline conditions without a condensation agent. Gradient elution was performed on a BEH C18 (100 × 2.1 mm, 1.7 μm) column with a mobile phase of 0.05% formic acid (FA) in 10 mM ammonium acetate (CH3COONH4) and 0.1% FA in acetonitrile or methanol. The efficiency of the chiral resolution was evaluated under excitation and emission wavelengths of 450 nm and 560 nm, respectively. The 19 chiral amino acids were separated in the range of 1.45-14.84. The resolutions of almost all DL-amino acids exceeded 1.5; the exceptions were serine (Ser) and lysine (Lys), with resolutions of 1.45 and 1.46, respectively. In addition, a new approach was devised for the simultaneous analysis of four chiral amino acids (DL-Glu, DL-Ala, DL-Val, and DL-Phe) in human hair. These amino acids were analyzed in the range of 12.5-400 pmol, with R2 ≥ 0.9990, limits of detection (S/N = 3) of 4-10 pmol, and intraday and interday precisions of 0.57-6.23%. The average spikes in the hair recoveries were 89.76-111.54%, and the matrix effects were 92.47-102.40%. Next, the contents of free chiral amino acids in the hair samples of 10 healthy volunteers (five males and five females) were analyzed with this method, and the differences were compared. The developed DBD-S-M-Pro provides a novel strategy for the sensitive determination of free chiral amino acids in living organisms.
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Affiliation(s)
- Xin Wang
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Department of Pharmaceutical Analysis, College of Pharmacy, Yanbian University, Yanji 133002, Jilin Province, China.
| | - Xiaoqi Sun
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Department of Pharmaceutical Analysis, College of Pharmacy, Yanbian University, Yanji 133002, Jilin Province, China.
| | - Yueying Jin
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Department of Pharmaceutical Analysis, College of Pharmacy, Yanbian University, Yanji 133002, Jilin Province, China.
| | - Shengyu Cheng
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Department of Pharmaceutical Analysis, College of Pharmacy, Yanbian University, Yanji 133002, Jilin Province, China.
| | - Yu Han
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Department of Pharmaceutical Analysis, College of Pharmacy, Yanbian University, Yanji 133002, Jilin Province, China.
| | - Minghui Zhang
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Department of Pharmaceutical Analysis, College of Pharmacy, Yanbian University, Yanji 133002, Jilin Province, China.
| | - Lingli Zhang
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Department of Pharmaceutical Analysis, College of Pharmacy, Yanbian University, Yanji 133002, Jilin Province, China.
| | - Xi-Ling Li
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Department of Pharmaceutical Analysis, College of Pharmacy, Yanbian University, Yanji 133002, Jilin Province, China.
| | - Chun-Yan Xu
- Medical College, Dalian University, Dalian, Liaoning, China.
| | - Jun Zhe Min
- Key Laboratory of Natural Medicines of the Changbai Mountain, Ministry of Education, Department of Pharmaceutical Analysis, College of Pharmacy, Yanbian University, Yanji 133002, Jilin Province, China.
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