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Zhai Y, Fu X, Xu W. Miniature mass spectrometers and their potential for clinical point-of-care analysis. MASS SPECTROMETRY REVIEWS 2024; 43:1172-1191. [PMID: 37610153 DOI: 10.1002/mas.21867] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 08/04/2023] [Accepted: 08/11/2023] [Indexed: 08/24/2023]
Abstract
Mass spectrometry (MS) has become a powerful technique for clinical applications with high sensitivity and specificity. Different from conventional MS diagnosis in laboratory, point-of-care (POC) analyses in clinics require mass spectrometers and analytical procedures to be friendly for novice users and applicable for on-site clinical diagnosis. The recent decades have seen the progress in the development of miniature mass spectrometers, providing a promising solution for clinical POC applications. In this review, we report recent advances of miniature mass spectrometers and their exploration in clinical applications, mainly including the rapid analysis of illegal drugs, on-site monitoring of therapeutic drugs, and detection of biomarkers. With improved analytical performance, miniature mass spectrometers are also expected to apply to more and more clinical applications. Some promising POC analyses that can be performed by miniature mass spectrometers in the future are discussed. Lastly, we also provide our perspectives on the challenges in technical development of miniature mass spectrometers for clinical POC analysis.
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Affiliation(s)
- Yanbing Zhai
- School of Medical Technology, Beijing Institute of Technology, Beijing, China
| | - Xinyan Fu
- School of Medical Technology, Beijing Institute of Technology, Beijing, China
| | - Wei Xu
- School of Medical Technology, Beijing Institute of Technology, Beijing, China
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2
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Hatchett CJ, Hall MK, Messer AR, Schwalbe RA. Lowered GnT-I Activity Decreases Complex-Type N-Glycan Amounts and Results in an Aberrant Primary Motor Neuron Structure in the Spinal Cord. J Dev Biol 2024; 12:21. [PMID: 39189261 PMCID: PMC11348029 DOI: 10.3390/jdb12030021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Revised: 07/19/2024] [Accepted: 08/14/2024] [Indexed: 08/28/2024] Open
Abstract
The attachment of sugar to proteins and lipids is a basic modification needed for organismal survival, and perturbations in glycosylation cause severe developmental and neurological difficulties. Here, we investigated the neurological consequences of N-glycan populations in the spinal cord of Wt AB and mgat1b mutant zebrafish. Mutant fish have reduced N-acetylglucosaminyltransferase-I (GnT-I) activity as mgat1a remains intact. GnT-I converts oligomannose N-glycans to hybrid N-glycans, which is needed for complex N-glycan production. MALDI-TOF MS profiles identified N-glycans in the spinal cord for the first time and revealed reduced amounts of complex N-glycans in mutant fish, supporting a lesion in mgat1b. Further lectin blotting showed that oligomannose N-glycans were more prevalent in the spinal cord, skeletal muscle, heart, swim bladder, skin, and testis in mutant fish relative to WT AB, supporting lowered GnT- I activity in a global manner. Developmental delays were noted in hatching and in the swim bladder. Microscopic images of caudal primary (CaP) motor neurons of the spinal cord transiently expressing EGFP in mutant fish were abnormal with significant reductions in collateral branches. Further motor coordination skills were impaired in mutant fish. We conclude that identifying the neurological consequences of aberrant N-glycan processing will enhance our understanding of the role of complex N-glycans in development and nervous system health.
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Affiliation(s)
| | | | | | - Ruth A. Schwalbe
- Department of Biochemistry and Molecular Biology, Brody School of Medicine, East Carolina University, Greenville, NC 27834, USA; (C.J.H.); (M.K.H.); (A.R.M.)
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3
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Zhang W, Chen T, Zhao H, Ren S. Glycosylation in aging and neurodegenerative diseases. Acta Biochim Biophys Sin (Shanghai) 2024; 56:1208-1220. [PMID: 39225075 DOI: 10.3724/abbs.2024136] [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] [Indexed: 09/04/2024] Open
Abstract
Aging, a complex biological process, involves the progressive decline of physiological functions across various systems, leading to increased susceptibility to neurodegenerative diseases. In society, demographic aging imposes significant economic and social burdens due to these conditions. This review specifically examines the association of protein glycosylation with aging and neurodegenerative diseases. Glycosylation, a critical post-translational modification, influences numerous aspects of protein function that are pivotal in aging and the pathophysiology of diseases such as Alzheimer's disease, Parkinson's disease, and other neurodegenerative conditions. We highlight the alterations in glycosylation patterns observed during aging, their implications in the onset and progression of neurodegenerative diseases, and the potential of glycosylation profiles as biomarkers for early detection, prognosis, and monitoring of these age-associated conditions, and delve into the mechanisms of glycosylation. Furthermore, this review explores their role in regulating protein function and mediating critical biological interactions in these diseases. By examining the changes in glycosylation profiles associated with each part, this review underscores the potential of glycosylation research as a tool to enhance our understanding of aging and its related diseases.
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Harvey DJ. Analysis of carbohydrates and glycoconjugates by matrix-assisted laser desorption/ionization mass spectrometry: An update for 2021-2022. MASS SPECTROMETRY REVIEWS 2024. [PMID: 38925550 DOI: 10.1002/mas.21873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 02/05/2024] [Accepted: 02/12/2024] [Indexed: 06/28/2024]
Abstract
The use of matrix-assisted laser desorption/ionization (MALDI) mass spectrometry for the analysis of carbohydrates and glycoconjugates is a well-established technique and this review is the 12th update of the original article published in 1999 and brings coverage of the literature to the end of 2022. As with previous review, this review also includes a few papers that describe methods appropriate to analysis by MALDI, such as sample preparation, even though the ionization method is not MALDI. The review follows the same format as previous reviews. It is divided into three sections: (1) general aspects such as theory of the MALDI process, matrices, derivatization, MALDI imaging, fragmentation, quantification and the use of computer software for structural identification. (2) Applications to various structural types such as oligo- and polysaccharides, glycoproteins, glycolipids, glycosides and biopharmaceuticals, and (3) other general areas such as medicine, industrial processes, natural products and glycan synthesis where MALDI is extensively used. Much of the material relating to applications is presented in tabular form. MALDI is still an ideal technique for carbohydrate analysis, particularly in its ability to produce single ions from each analyte and advancements in the technique and range of applications show little sign of diminishing.
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Wang Y, Liu Y, Liu S, Cheng L, Liu X. Recent advances in N-glycan biomarker discovery among human diseases. Acta Biochim Biophys Sin (Shanghai) 2024; 56:1156-1171. [PMID: 38910518 DOI: 10.3724/abbs.2024101] [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] [Indexed: 06/25/2024] Open
Abstract
N-glycans play important roles in a variety of biological processes. In recent years, analytical technologies with high resolution and sensitivity have advanced exponentially, enabling analysts to investigate N-glycomic changes in different states. Specific glycan and glycosylation signatures have been identified in multiple diseases, including cancer, autoimmune diseases, nervous system disorders, and metabolic and cardiovascular diseases. These glycans demonstrate comparable or superior indicating capability in disease diagnosis and prognosis over routine biomarkers. Moreover, synchronous glycan alterations concurrent with disease initiation and progression provide novel insights into pathogenetic mechanisms and potential treatment targets. This review elucidates the biological significance of N-glycans, compares the existing glycomic technologies, and delineates the clinical performance of N-glycans across a range of diseases.
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Affiliation(s)
- Yi Wang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yuanyuan Liu
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Si Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou 350122, China
| | - Liming Cheng
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xin Liu
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
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Chao X, Zhang B, Yang S, Liu X, Zhang J, Zang X, Chen L, Qi L, Wang X, Hu H. Enrichment methods of N-linked glycopeptides from human serum or plasma: A mini-review. Carbohydr Res 2024; 538:109094. [PMID: 38564900 DOI: 10.1016/j.carres.2024.109094] [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: 12/27/2023] [Revised: 03/08/2024] [Accepted: 03/14/2024] [Indexed: 04/04/2024]
Abstract
Human diseases often correlate with changes in protein glycosylation, which can be observed in serum or plasma samples. N-glycosylation, the most common form, can provide potential biomarkers for disease prognosis and diagnosis. However, glycoproteins constitute a relatively small proportion of the total proteins in human serum and plasma compared to the non-glycosylated protein albumin, which constitutes the majority. The detection of microheterogeneity and low glycan abundance presents a challenge. Mass spectrometry facilitates glycoproteomics research, yet it faces challenges due to interference from abundant plasma proteins. Therefore, methods have emerged to enrich N-glycans and N-linked glycopeptides using glycan affinity, chemical properties, stationary phase chemical coupling, bioorthogonal techniques, and other alternatives. This review focuses on N-glycans and N-glycopeptides enrichment in human serum or plasma, emphasizing methods and applications. Although not exhaustive, it aims to elucidate principles and showcase the utility and limitations of glycoproteome characterization.
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Affiliation(s)
- Xuyuan Chao
- Phase I Clinical Trial Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, People's Republic of China
| | - Baoying Zhang
- Phase I Clinical Trial Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, People's Republic of China
| | - Shengjie Yang
- Phase I Clinical Trial Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, People's Republic of China
| | - Xizi Liu
- Institute of Apicultural Research/Key Laboratory of Pollinating Insect Biology, Ministry of Agriculture, Chinese Academy of Agricultural Sciences, No. 1 Beigou Xiangshan, Beijing, 100093, People's Republic of China
| | - Jingyi Zhang
- Phase I Clinical Trial Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, People's Republic of China
| | - Xin Zang
- Phase I Clinical Trial Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, People's Republic of China
| | - Lu Chen
- Phase I Clinical Trial Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, People's Republic of China
| | - Lu Qi
- Phase I Clinical Trial Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, People's Republic of China
| | - Xinghe Wang
- Phase I Clinical Trial Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, People's Republic of China.
| | - Han Hu
- Institute of Apicultural Research/Key Laboratory of Pollinating Insect Biology, Ministry of Agriculture, Chinese Academy of Agricultural Sciences, No. 1 Beigou Xiangshan, Beijing, 100093, People's Republic of China.
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Liu L, Liu L, Wang Y, Fang Z, Bian Y, Zhang W, Wang Z, Gao X, Zhao C, Tian M, Liu X, Qin H, Guo Z, Liang X, Dong M, Nie Y, Ye M. Robust Glycoproteomics Platform Reveals a Tetra-Antennary Site-Specific Glycan Capping with Sialyl-Lewis Antigen for Early Detection of Gastric Cancer. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2306955. [PMID: 38084450 PMCID: PMC10916543 DOI: 10.1002/advs.202306955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 11/16/2023] [Indexed: 03/07/2024]
Abstract
The lack of efficient biomarkers for the early detection of gastric cancer (GC) contributes to its high mortality rate, so it is crucial to discover novel diagnostic targets for GC. Recent studies have implicated the potential of site-specific glycans in cancer diagnosis, yet it is challenging to perform highly reproducible and sensitive glycoproteomics analysis on large cohorts of samples. Here, a highly robust N-glycoproteomics (HRN) platform comprising an automated enrichment method, a stable microflow LC-MS/MS system, and a sensitive glycopeptide-spectra-deciphering tool is developed for large-scale quantitative N-glycoproteome analysis. The HRN platform is applied to analyze serum N-glycoproteomes of 278 subjects from three cohorts to investigate glycosylation changes of GC. It identifies over 20 000 unique site-specific glycans from discovery and validation cohorts, and determines four site-specific glycans as biomarker candidates. One candidate has branched tetra-antennary structure capping with sialyl-Lewis antigen, and it significantly outperforms serum CEA with AUC values > 0.89 compared against < 0.67 for diagnosing early-stage GC. The four-marker panel can provide improved diagnostic performances. Besides, discrimination powers of four candidates are also testified with a verification cohort using PRM strategy. This findings highlight the value of this strong tool in analyzing aberrant site-specific glycans for cancer detection.
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Affiliation(s)
- Luyao Liu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian116023China
- University of Chinese Academy of SciencesBeijing101408China
| | - Lei Liu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian116023China
- University of Chinese Academy of SciencesBeijing101408China
| | - Yan Wang
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian116023China
| | - Zheng Fang
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian116023China
| | - Yangyang Bian
- The College of Life SciencesNorthwest UniversityXi'an710127China
| | - Wenyao Zhang
- State Key Laboratory of Cancer Biology, Xijing Hospital of Digestive DiseasesFourth Military Medical UniversityXi'an710068China
| | - Zhongyu Wang
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian116023China
| | - Xianchun Gao
- State Key Laboratory of Cancer Biology, Xijing Hospital of Digestive DiseasesFourth Military Medical UniversityXi'an710068China
| | - Changrui Zhao
- MOE Key Laboratory of Bio‐Intelligent Manufacturing, School of BioengineeringDalian University of TechnologyDalian116024China
| | - Miaomiao Tian
- State Key Laboratory of Cancer Biology, Xijing Hospital of Digestive DiseasesFourth Military Medical UniversityXi'an710068China
| | - Xiaoyan Liu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian116023China
| | - Hongqiang Qin
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian116023China
| | - Zhimou Guo
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian116023China
| | - Xinmiao Liang
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian116023China
| | - Mingming Dong
- MOE Key Laboratory of Bio‐Intelligent Manufacturing, School of BioengineeringDalian University of TechnologyDalian116024China
| | - Yongzhan Nie
- State Key Laboratory of Cancer Biology, Xijing Hospital of Digestive DiseasesFourth Military Medical UniversityXi'an710068China
| | - Mingliang Ye
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian116023China
- University of Chinese Academy of SciencesBeijing101408China
- State Key Laboratory of Medical ProteomicsBeijing102206China
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8
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Daramola O, Gutierrez Reyes CD, Chávez-Reyes J, Marichal-Cancino BA, Nwaiwu J, Onigbinde S, Adeniyi M, Solomon J, Bhuiyan MMAA, Mechref Y. Metabolomic Changes in Rat Serum after Chronic Exposure to Glyphosate-Based Herbicide. Metabolites 2024; 14:50. [PMID: 38248853 PMCID: PMC10819816 DOI: 10.3390/metabo14010050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 01/09/2024] [Accepted: 01/11/2024] [Indexed: 01/23/2024] Open
Abstract
Glyphosate-based herbicides (GBHs) have gained extensive popularity in recent decades. For many years, glyphosate has been regarded as harmless or minimally toxic to mammals due to the absence of its primary target, the shikimic acid pathway in humans. Nonetheless, mounting evidence suggests that glyphosate may cause adverse health effects in humans via other mechanisms. In this study, we described the metabolomic changes in the serum of experimental rats exposed to chronic GBH using the highly sensitive LC-MS/MS technique. We investigated the possible relationship between chronic exposure to GBH and neurological disorders. Our findings suggest that chronic exposure to GBH can alter spatial learning memory and the expression of some important metabolites that are linked to neurophysiological disorders in young rats, with the female rats showing higher susceptibility compared to the males. This indicates that female rats are more likely to show early symptoms of the disorder on exposure to chronic GBH compared to male rats. We observed that four important metabolites (paraxanthine, epinephrine, L-(+)-arginine, and D-arginine) showed significant changes and involvement in neurological changes as suggested by ingenuity pathway analysis. In conclusion, our results indicate that chronic exposure to GBH can increase the risk of developing neurological disorders.
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Affiliation(s)
- Oluwatosin Daramola
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX 79409, USA; (O.D.); (C.D.G.R.); (J.N.); (S.O.); (M.A.); (J.S.); (M.M.A.A.B.)
| | - Cristian D. Gutierrez Reyes
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX 79409, USA; (O.D.); (C.D.G.R.); (J.N.); (S.O.); (M.A.); (J.S.); (M.M.A.A.B.)
| | - Jesús Chávez-Reyes
- Center of Basic Sciences, Department of Physiology and Pharmacology, Universidad Autónoma de Aguascalientes, Ags, CP 20131, Mexico; (J.C.-R.); (B.A.M.-C.)
| | - Bruno A. Marichal-Cancino
- Center of Basic Sciences, Department of Physiology and Pharmacology, Universidad Autónoma de Aguascalientes, Ags, CP 20131, Mexico; (J.C.-R.); (B.A.M.-C.)
| | - Judith Nwaiwu
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX 79409, USA; (O.D.); (C.D.G.R.); (J.N.); (S.O.); (M.A.); (J.S.); (M.M.A.A.B.)
| | - Sherifdeen Onigbinde
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX 79409, USA; (O.D.); (C.D.G.R.); (J.N.); (S.O.); (M.A.); (J.S.); (M.M.A.A.B.)
| | - Moyinoluwa Adeniyi
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX 79409, USA; (O.D.); (C.D.G.R.); (J.N.); (S.O.); (M.A.); (J.S.); (M.M.A.A.B.)
| | - Joy Solomon
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX 79409, USA; (O.D.); (C.D.G.R.); (J.N.); (S.O.); (M.A.); (J.S.); (M.M.A.A.B.)
| | - Md Mostofa Al Amin Bhuiyan
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX 79409, USA; (O.D.); (C.D.G.R.); (J.N.); (S.O.); (M.A.); (J.S.); (M.M.A.A.B.)
| | - Yehia Mechref
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX 79409, USA; (O.D.); (C.D.G.R.); (J.N.); (S.O.); (M.A.); (J.S.); (M.M.A.A.B.)
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Hu W, Ge W, Xia P, Chen Y, Du J, Hu G, Wu Z, Zhang X, Yang C, Jiang J, Yang S, Xia J. Diagnostic Potential of Serum Glycome Analysis in Lung Cancer: A Glycopattern Study. J Proteome Res 2024; 23:500-509. [PMID: 38097511 DOI: 10.1021/acs.jproteome.3c00645] [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] [Indexed: 01/06/2024]
Abstract
Lung cancer is the leading cause of cancer-related death, with high morbidity and mortality rates due to the lack of reliable methods for diagnosing lung cancer at an early stage. Low-dose computed tomography can help detect abnormal areas in the lungs, but only 16% of cases are diagnosed early. Tests for lung cancer markers are often employed to determine genetic expression or mutations in lung carcinogenesis. Serum glycome analysis is a promising new method for early lung cancer diagnosis as glycopatterns exhibit significant differences in lung cancer patients. In this study, we employed a solid-phase chemoenzymatic method to systematically compare glycopatterns in benign cases, adenocarcinoma before and after surgery, and advanced stages of adenocarcinoma. Our findings indicate that serum high-mannose levels are elevated in both benign cases and adenocarcinoma, while complex N-glycans, including fucose and 2,6-linked sialic acid, are downregulated in the serum. Subsequently, we developed an algorithm that utilizes 16 altered N-glycans, 7 upregulated and 9 downregulated, to generate a score based on their intensity. This score can predict the stages of cancer progression in patients through glycan characterization. This methodology offers a potential means of diagnosing lung cancer through serum glycome analysis.
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Affiliation(s)
- Wenhua Hu
- Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu 215123, China
| | - Wei Ge
- Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu 215123, China
- Department of Respiratory Medicine, Dushu Lake Hospital Affiliated to Soochow University, Suzhou, Jiangsu 215123, China
| | - Peng Xia
- Laboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang 310014, China
| | - Yan Chen
- Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu 215123, China
| | - Jing Du
- Laboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang 310014, China
| | - Guangxu Hu
- State Key Laboratory of Genetic Engineering, Department of Biochemistry, School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Zhen Wu
- State Key Laboratory of Genetic Engineering, Department of Biochemistry, School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Xumin Zhang
- State Key Laboratory of Genetic Engineering, Department of Biochemistry, School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Chuanlai Yang
- Health Examination Center, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215004, China
| | - Junhong Jiang
- Department of Respiratory Medicine, Dushu Lake Hospital Affiliated to Soochow University, Suzhou, Jiangsu 215123, China
| | - Shuang Yang
- Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu 215123, China
- Health Examination Center, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215004, China
| | - Jun Xia
- Laboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang 310014, China
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10
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Xu M, Jin H, Ge W, Zhao L, Liu Z, Guo Z, Wu Z, Chen J, Mao C, Zhang X, Liu CF, Yang S. Mass Spectrometric Analysis of Urinary N-Glycosylation Changes in Patients with Parkinson's Disease. ACS Chem Neurosci 2023; 14:3507-3517. [PMID: 37677068 DOI: 10.1021/acschemneuro.3c00404] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/09/2023] Open
Abstract
Urine is thought to provide earlier and more sensitive molecular changes for biomarker discovery than blood. Numerous glycoproteins, peptides, and free glycans are present in urine through glomerular filtration of plasma, cell shedding, apoptosis, proteolytic cleavage, and exosome secretion. Urine biomarkers have enormous diagnostic potential, and the use of these biomarkers is a long-standing practice. The discovery of non-urological disease biomarkers from urine is also gaining attention due to its non-invasive sample collection and ease of analysis. Abnormal protein glycosylation in plasma or cerebrospinal fluid has been associated with Parkinson's disease, however, whether urine with Parkinson's disease has characteristic glycosylation remains to be explored. Here, we use mass spectrometry-based glycomics and glycoproteomics approaches to analyze urine samples for glycans, glycosites, and intact glycopeptides of urine samples. Reduced abundance of N-glycans was detected at the level of total glycans as well as specific glycosites of glycopeptides. The most abundant N-glycan in urine is S(6)1H5N4F1; S(6)2H5N4 and N4H4F1 are highly present in serum and urine, and 10 biantennary galactosylated N-glycans in the urine of PD patients were significantly decreased. The downregulation of sialylation may be due to the reduction of ST3GAL2. Site-specific N-glycosylation analysis revealed that AMBP, UMOD, and RNase1 have PD-specific N-glycosylation sites. GO and KEGG analysis revealed that N-glycosylation changes may provide clues to identify disease-specific glycosylation biomarkers in Parkinson's disease.
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Affiliation(s)
- Mingming Xu
- Center for Clinical Mass Spectrometry, School of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu 215123, China
- Wisdom Lake Academy of Pharmacy, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China
| | - Hong Jin
- Department of Neurology and Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - Wei Ge
- Center for Clinical Mass Spectrometry, School of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu 215123, China
| | - Lingbo Zhao
- Center for Clinical Mass Spectrometry, School of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu 215123, China
| | - Zhaoliang Liu
- Center for Clinical Mass Spectrometry, School of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu 215123, China
| | - Zeyu Guo
- Center for Clinical Mass Spectrometry, School of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu 215123, China
| | - Zhen Wu
- State Key Laboratory of Genetic Engineering, Department of Biochemistry, School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Jing Chen
- Department of Neurology and Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - Chengjie Mao
- Department of Neurology and Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - Xumin Zhang
- State Key Laboratory of Genetic Engineering, Department of Biochemistry, School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Chun-Feng Liu
- Department of Neurology and Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou 215004, China
| | - Shuang Yang
- Center for Clinical Mass Spectrometry, School of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu 215123, China
- Health Examination Center, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215004, China
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11
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Shama A, Soni T, Jawanda IK, Upadhyay G, Sharma A, Prabha V. The Latest Developments in Using Proteomic Biomarkers from Urine and Serum for Non-Invasive Disease Diagnosis and Prognosis. Biomark Insights 2023; 18:11772719231190218. [PMID: 37528936 PMCID: PMC10387783 DOI: 10.1177/11772719231190218] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 07/10/2023] [Indexed: 08/03/2023] Open
Abstract
Due to diagnostic improvements, medical diagnostics is demanding non-invasive or minimally invasive methods. Non-invasively obtained body fluids (eg., Urine, serum) can replace cerebral fluid, amniotic fluid, synovial fluid, bronchoalveolar lavage fluid, and others for diagnostic reasons. Many illnesses are induced by perturbations of cellular signaling pathways and associated pathway networks as a result of genetic abnormalities. These disturbances are represented by a shift in the protein composition of the fluids surrounding the tissues and organs that is, tissue interstitial fluid (TIF). These variant proteins may serve as diagnostic "signatures" for a variety of disorders. This review provides a concise summary of urine and serum biomarkers that may be used for the diagnosis and prognosis of a variety of disorders, including cancer, brain diseases, kidney diseases, and other system diseases. The studies reviewed in this article suggest that serum and urine biomarkers of various illnesses may be therapeutically useful for future diagnostics. Correct illness management is crucial for disease prognosis, hence non-invasive serum and urine biomarkers have been extensively studied for diagnosis, subclassification, monitoring disease activity, and predicting treatment results and consequences.
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Affiliation(s)
- Anurag Shama
- Department of Microbiology, Panjab University, Chandigarh, India
| | - Thomson Soni
- Department of Microbiology, Panjab University, Chandigarh, India
| | | | - Garima Upadhyay
- Department of Microbiology, Panjab University, Chandigarh, India
| | - Anshika Sharma
- Department of Microbiology, Panjab University, Chandigarh, India
| | - Vijay Prabha
- Department of Microbiology, Panjab University, Chandigarh, India
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12
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Pradeep P, Kang H, Lee B. Glycosylation and behavioral symptoms in neurological disorders. Transl Psychiatry 2023; 13:154. [PMID: 37156804 PMCID: PMC10167254 DOI: 10.1038/s41398-023-02446-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 04/19/2023] [Accepted: 04/24/2023] [Indexed: 05/10/2023] Open
Abstract
Glycosylation, the addition of glycans or carbohydrates to proteins, lipids, or other glycans, is a complex post-translational modification that plays a crucial role in cellular function. It is estimated that at least half of all mammalian proteins undergo glycosylation, underscoring its importance in the functioning of cells. This is reflected in the fact that a significant portion of the human genome, around 2%, is devoted to encoding enzymes involved in glycosylation. Changes in glycosylation have been linked to various neurological disorders, including Alzheimer's disease, Parkinson's disease, autism spectrum disorder, and schizophrenia. Despite its widespread occurrence, the role of glycosylation in the central nervous system remains largely unknown, particularly with regard to its impact on behavioral abnormalities in brain diseases. This review focuses on examining the role of three types of glycosylation: N-glycosylation, O-glycosylation, and O-GlcNAcylation, in the manifestation of behavioral and neurological symptoms in neurodevelopmental, neurodegenerative, and neuropsychiatric disorders.
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Affiliation(s)
- Prajitha Pradeep
- Center for Cognition and Sociality, Institute for Basic Science, Daejeon, 34126, South Korea
- IBS School, University of Science and Technology (UST), Daejeon, 34113, South Korea
| | - Hyeyeon Kang
- Center for Cognition and Sociality, Institute for Basic Science, Daejeon, 34126, South Korea
- Department of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, South Korea
| | - Boyoung Lee
- Center for Cognition and Sociality, Institute for Basic Science, Daejeon, 34126, South Korea.
- IBS School, University of Science and Technology (UST), Daejeon, 34113, South Korea.
- Department of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, South Korea.
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13
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Baerenfaenger M, Post MA, Langerhorst P, Huijben K, Zijlstra F, Jacobs JFM, Verbeek MM, Wessels HJCT, Lefeber DJ. Glycoproteomics in Cerebrospinal Fluid Reveals Brain-Specific Glycosylation Changes. Int J Mol Sci 2023; 24:1937. [PMID: 36768261 PMCID: PMC9916115 DOI: 10.3390/ijms24031937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Revised: 01/13/2023] [Accepted: 01/16/2023] [Indexed: 01/20/2023] Open
Abstract
The glycosylation of proteins plays an important role in neurological development and disease. Glycoproteomic studies on cerebrospinal fluid (CSF) are a valuable tool to gain insight into brain glycosylation and its changes in disease. However, it is important to consider that most proteins in CSFs originate from the blood and enter the CSF across the blood-CSF barrier, thus not reflecting the glycosylation status of the brain. Here, we apply a glycoproteomics method to human CSF, focusing on differences between brain- and blood-derived proteins. To facilitate the analysis of the glycan site occupancy, we refrain from glycopeptide enrichment. In healthy individuals, we describe the presence of heterogeneous brain-type N-glycans on prostaglandin H2-D isomerase alongside the dominant plasma-type N-glycans for proteins such as transferrin or haptoglobin, showing the tissue specificity of protein glycosylation. We apply our methodology to patients diagnosed with various genetic glycosylation disorders who have neurological impairments. In patients with severe glycosylation alterations, we observe that heavily truncated glycans and a complete loss of glycans are more pronounced in brain-derived proteins. We speculate that a similar effect can be observed in other neurological diseases where a focus on brain-derived proteins in the CSF could be similarly beneficial to gain insight into disease-related changes.
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Affiliation(s)
- Melissa Baerenfaenger
- Department of Neurology, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, 6525 AJ Nijmegen, The Netherlands
- Division of BioAnalytical Chemistry, AIMMS Amsterdam Institute of Molecular and Life Sciences, Vrije Universiteit Amsterdam, 1081 HZ Amsterdam, The Netherlands
| | - Merel A. Post
- Department of Neurology, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, 6525 AJ Nijmegen, The Netherlands
| | - Pieter Langerhorst
- Department of Laboratory Medicine, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Karin Huijben
- Department of Laboratory Medicine, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Fokje Zijlstra
- Department of Laboratory Medicine, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Joannes F. M. Jacobs
- Department of Laboratory Medicine, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Marcel M. Verbeek
- Department of Neurology, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, 6525 AJ Nijmegen, The Netherlands
- Department of Laboratory Medicine, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Hans J. C. T. Wessels
- Department of Laboratory Medicine, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
| | - Dirk J. Lefeber
- Department of Neurology, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, 6525 AJ Nijmegen, The Netherlands
- Department of Laboratory Medicine, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
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14
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Dunbar C, Kushnir MM, Yang YK. Glycosylation Profiling of the Neoplastic Biomarker Alpha Fetoprotein through Intact Mass Protein Analysis. J Proteome Res 2023; 22:226-234. [PMID: 36541409 PMCID: PMC9830635 DOI: 10.1021/acs.jproteome.2c00656] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Elevated serum alpha-fetoprotein (AFP) can be observed in liver cirrhosis and hepatocellular carcinoma (HCC). The glycosylation patterns of AFP have been shown to differentiate these conditions, with AFP glycoforms with core fucosylation (AFP-L3) serving as a malignancy risk predictor for HCC. We have developed a method to detect endogenously present AFP proteoforms and to quantify the relative abundance of AFP-L3 glycoforms (AFP-L3%) in serum samples. This method consists of immune enrichment of endogenous AFP, followed by liquid chromatography coupled with high-resolution mass spectrometry (LC-HRMS) intact protein analysis of AFP. Data are available via ProteomeXchange with identifier PXD038606. Based on the AFP profiles in authentic patient serum samples, we have identified that the frequently observed AFP glycoforms without core fucosylation (AFP-L1) are G2S2 and G2S1, and common AFP-L3 glycoforms are G2FS1 and G2FS2. The intensities of glycoforms in the deconvoluted spectrum are used to quantify AFP-L3% in each sample. The method evaluation included reproducibility, specificity, dilution integrity, and comparison of AFP-L3% with a lectin-binding gel shift electrophoresis (GSE) assay. The AFP-L1 and AFP-L3 proteoforms were reproducibly identified in multiple patient serum samples, resulting in reproducible AFP-L3% quantification. There was considerable agreement between the developed LC-HRMS and commercial GSE methods when quantifying AFP-L3% (Pearson r = 0.63) with a proportional bias.
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Affiliation(s)
- Carmen Dunbar
- ARUP
Institute for Clinical and Experimental Pathology, Salt Lake City, Utah84108, United States
| | - Mark M. Kushnir
- ARUP
Institute for Clinical and Experimental Pathology, Salt Lake City, Utah84108, United States,Department
of Pathology, University of Utah, Salt Lake City, Utah84108, United States
| | - Yifei K. Yang
- ARUP
Institute for Clinical and Experimental Pathology, Salt Lake City, Utah84108, United States,Department
of Pathology, University of Utah, Salt Lake City, Utah84108, United States,
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15
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Zhang Y, Zeng W, Zhao Y, Yang H. Editorial: New methods, techniques and applications in clinical glycoproteomics. Front Mol Biosci 2023; 10:1170818. [PMID: 36936985 PMCID: PMC10020584 DOI: 10.3389/fmolb.2023.1170818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 02/28/2023] [Indexed: 03/06/2023] Open
Affiliation(s)
- Yong Zhang
- NHC Key Lab of Transplant Engineering and Immunology, Institutes for Systems Genetics, West China Hospital, Sichuan University, Chengdu, China
| | - Wenjuan Zeng
- NHC Key Lab of Transplant Engineering and Immunology, Institutes for Systems Genetics, West China Hospital, Sichuan University, Chengdu, China
| | - Yang Zhao
- Mass Spectrometry Engineering Technology Research Center, Center for Advanced Measurement Science, National Institute of Metrology, Beijing, China
| | - Hao Yang
- NHC Key Lab of Transplant Engineering and Immunology, Institutes for Systems Genetics, West China Hospital, Sichuan University, Chengdu, China
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16
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Guan B, Chai Y, Amantai X, Chen X, Cao X, Yue X. A new sight to explore site-specific N-glycosylation in donkey colostrum milk fat globule membrane proteins with glycoproteomics analysis. Food Res Int 2022; 162:111938. [DOI: 10.1016/j.foodres.2022.111938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 09/10/2022] [Accepted: 09/12/2022] [Indexed: 11/04/2022]
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17
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Li S, Qiao L, Liang C, Zhao L, Du K. Boronate-immobilized cellulose nanofiber-reinforced cellulose microspheres for pH-dependent adsorption of glycoproteins. Carbohydr Polym 2022; 298:120068. [DOI: 10.1016/j.carbpol.2022.120068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 08/29/2022] [Accepted: 08/31/2022] [Indexed: 11/02/2022]
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18
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Liu Z, Xu M, Zhang W, Miao X, Wang PG, Li S, Yang S. Recent development in hydrophilic interaction liquid chromatography stationary materials for glycopeptide analysis. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2022; 14:4437-4448. [PMID: 36300821 DOI: 10.1039/d2ay01369j] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Protein glycosylation is one of the most important post-translational modifications, and aberrant glycosylation is associated with the occurrence and development of diseases. Deciphering abnormal glycosylation changes can identify disease-specific signatures to facilitate the discovery of potential disease biomarkers. However, glycosylation analysis is challenging due to the diversity of glycans, heterogeneity of glycosites, and poor electrospray ionization of mass spectrometry. To overcome these obstacles, glycosylation is often elucidated using enriched glycopeptides by removing highly abundant non-glycopeptides. Hydrophilic interaction liquid chromatography (HILIC) is widely used for glycopeptide enrichment due to its excellent selectivity and specificity to hydrophilic glycans and compatibility with mass spectrometry. However, the development of HILIC has lagged far behind hydrophobic interaction chromatography, so efforts to further improve the performance of HILIC are beneficial for glycosylation analysis. This review discusses recent developments in HILIC materials and their advanced applications. Based on the physiochemical properties of glycopeptides, the use of amino acids or peptides as stationary phases showed improved enrichment and separation of glycopeptides. We can envision that the use of glycopeptides as stationary phases would definitely further improve the selectivity and specificity of HILIC for glycosylation analysis.
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Affiliation(s)
- Zhaoliang Liu
- Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University, Jiangsu, 215123, China.
| | - Mingming Xu
- Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University, Jiangsu, 215123, China.
| | - Wenqi Zhang
- Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University, Jiangsu, 215123, China.
- Nanjing Apollomics Biotech, Inc., Nanjing, Jiangsu 210033, China.
| | - Xinyu Miao
- Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University, Jiangsu, 215123, China.
- Nanjing Apollomics Biotech, Inc., Nanjing, Jiangsu 210033, China.
| | - Perry G Wang
- Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, MD 20740, USA
| | - Shuwei Li
- Nanjing Apollomics Biotech, Inc., Nanjing, Jiangsu 210033, China.
| | - Shuang Yang
- Center for Clinical Mass Spectrometry, College of Pharmaceutical Sciences, Soochow University, Jiangsu, 215123, China.
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19
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Guan B, Zhang Z, Chai Y, Amantai X, Chen X, Cao X, Yue X. N-glycosylation of milk proteins: A review spanning 2010–2022. Trends Food Sci Technol 2022. [DOI: 10.1016/j.tifs.2022.07.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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