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He M, Zhou X, Wang X. Glycosylation: mechanisms, biological functions and clinical implications. Signal Transduct Target Ther 2024; 9:194. [PMID: 39098853 PMCID: PMC11298558 DOI: 10.1038/s41392-024-01886-1] [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: 10/21/2023] [Revised: 05/25/2024] [Accepted: 06/07/2024] [Indexed: 08/06/2024] Open
Abstract
Protein post-translational modification (PTM) is a covalent process that occurs in proteins during or after translation through the addition or removal of one or more functional groups, and has a profound effect on protein function. Glycosylation is one of the most common PTMs, in which polysaccharides are transferred to specific amino acid residues in proteins by glycosyltransferases. A growing body of evidence suggests that glycosylation is essential for the unfolding of various functional activities in organisms, such as playing a key role in the regulation of protein function, cell adhesion and immune escape. Aberrant glycosylation is also closely associated with the development of various diseases. Abnormal glycosylation patterns are closely linked to the emergence of various health conditions, including cancer, inflammation, autoimmune disorders, and several other diseases. However, the underlying composition and structure of the glycosylated residues have not been determined. It is imperative to fully understand the internal structure and differential expression of glycosylation, and to incorporate advanced detection technologies to keep the knowledge advancing. Investigations on the clinical applications of glycosylation focused on sensitive and promising biomarkers, development of more effective small molecule targeted drugs and emerging vaccines. These studies provide a new area for novel therapeutic strategies based on glycosylation.
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Affiliation(s)
- Mengyuan He
- Department of Hematology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, China
| | - Xiangxiang Zhou
- Department of Hematology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China.
- National Clinical Research Center for Hematologic Diseases, the First Affiliated Hospital of Soochow University, Suzhou, 251006, China.
| | - Xin Wang
- Department of Hematology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, China.
- Department of Hematology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China.
- National Clinical Research Center for Hematologic Diseases, the First Affiliated Hospital of Soochow University, Suzhou, 251006, China.
- Taishan Scholars Program of Shandong Province, Jinan, Shandong, 250021, China.
- Branch of National Clinical Research Center for Hematologic Diseases, Jinan, Shandong, 250021, China.
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Hoseini SH, Enayati P, Nazari M, Babakhanzadeh E, Rastgoo M, Sohrabi NB. Biomarker Profile of Colorectal Cancer: Current Findings and Future Perspective. J Gastrointest Cancer 2024; 55:497-510. [PMID: 38168859 DOI: 10.1007/s12029-023-00990-9] [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] [Accepted: 11/19/2023] [Indexed: 01/05/2024]
Abstract
OBJECTIVE Breakthroughs in omics technology have led to a deeper understanding of the fundamental molecular changes that play a critical role in the development and progression of cancer. This review delves into the hidden molecular drivers of colorectal cancer (CRC), offering potential for clinical translation through novel biomarkers and personalized therapies. METHODS We summarizes recent studies utilizing various omics approaches, including genomics, transcriptomics, proteomics, epigenomics, metabolomics and data integration with computational algorithms, to investigate CRC. RESULTS Integrating multi-omics data in colorectal cancer research unlocks hidden biological insights, revealing new pathways and mechanisms. This powerful approach not only identifies potential biomarkers for personalized prognosis, diagnosis, and treatment, but also predicts patient response to specific therapies, while computational tools illuminate the landscape by deciphering complex datasets. CONCLUSIONS Future research should prioritize validating promising biomarkers and seamlessly translating them into clinical practice, ultimately propelling personalized CRC management to new heights.
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Affiliation(s)
| | - Parisa Enayati
- Biological Sciences Department, Northern Illinois University, DeKalb, IL, USA
| | - Majid Nazari
- Department of Medical Genetics, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
- , P.O. Box, Tehran, 64155-65117, Iran.
| | - Emad Babakhanzadeh
- Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam Rastgoo
- Department of Microbiology, Shiraz Islamic Azad University, Shiraz, Iran
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Zhao Y, Raidas S, Mao Y, Li N. High-Throughput Glycan Profiling of Human Serum IgG Subclasses Using Parallel Reaction Monitoring Peptide Bond Fragmentation of Glycopeptides and Microflow LC-MS. J Proteome Res 2024; 23:585-595. [PMID: 38231888 DOI: 10.1021/acs.jproteome.3c00311] [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: 01/19/2024]
Abstract
LC-MS-based N-glycosylation profiling in four human serum IgG subclasses (IgG1, IgG2, IgG3, and IgG4) often requires additional affinity-based enrichment of specific IgG subclasses, owing to the high amino acid sequence similarity of Fc glycopeptides among subclasses. Notably, for IgG4 and the major allotype of IgG3, the glycopeptide precursors share identical retention time and mass and therefore cannot be distinguished based on precursor or glycan fragmentation. Here, we developed a parallel reaction monitoring (PRM)-based method for quantifying Fc glycopeptides through combined transitions generated from both glycosidic and peptide bond fragmentation. The latter enables the subpopulation of IgG3 and IgG4 to be directly distinguished according to mass differences without requiring further enrichment of specific IgG subclasses. In addition, a multinozzle electrospray emitter coupled to a capillary flow liquid chromatograph was used to increase the robustness and detection sensitivity of the method for low-yield peptide backbone fragment ions. The gradient was optimized to decrease the overall run time and make the method compatible with high-throughput analysis. We demonstrated that this method can be used to effectively monitor the relative levels of 13 representative glycoforms, with a good limit of detection for individual IgG subclasses.
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Affiliation(s)
- Yunlong Zhao
- Analytical Chemistry, Regeneron Pharmaceuticals, Inc., 777 Old Saw Mill River Road, Tarrytown, New York 10591, United States
| | - Shivkumar Raidas
- Analytical Chemistry, Regeneron Pharmaceuticals, Inc., 777 Old Saw Mill River Road, Tarrytown, New York 10591, United States
| | - Yuan Mao
- Analytical Chemistry, Regeneron Pharmaceuticals, Inc., 777 Old Saw Mill River Road, Tarrytown, New York 10591, United States
| | - Ning Li
- Analytical Chemistry, Regeneron Pharmaceuticals, Inc., 777 Old Saw Mill River Road, Tarrytown, New York 10591, United States
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Shkunnikova S, Mijakovac A, Sironic L, Hanic M, Lauc G, Kavur MM. IgG glycans in health and disease: Prediction, intervention, prognosis, and therapy. Biotechnol Adv 2023; 67:108169. [PMID: 37207876 DOI: 10.1016/j.biotechadv.2023.108169] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 05/01/2023] [Accepted: 05/02/2023] [Indexed: 05/21/2023]
Abstract
Immunoglobulin (IgG) glycosylation is a complex enzymatically controlled process, essential for the structure and function of IgG. IgG glycome is relatively stable in the state of homeostasis, yet its alterations have been associated with aging, pollution and toxic exposure, as well as various diseases, including autoimmune and inflammatory diseases, cardiometabolic diseases, infectious diseases and cancer. IgG is also an effector molecule directly involved in the inflammation processes included in the pathogenesis of many diseases. Numerous recently published studies support the idea that IgG N-glycosylation fine-tunes the immune response and plays a significant role in chronic inflammation. This makes it a promising novel biomarker of biological age, and a prognostic, diagnostic and treatment evaluation tool. Here we provide an overview of the current state of knowledge regarding the IgG glycosylation in health and disease, and its potential applications in pro-active prevention and monitoring of various health interventions.
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Affiliation(s)
- Sofia Shkunnikova
- Genos Glycoscience Research Laboratory, Borongajska cesta 83H, Zagreb, Croatia
| | - Anika Mijakovac
- University of Zagreb, Faculty of Science, Department of Biology, Horvatovac 102a, Zagreb, Croatia
| | - Lucija Sironic
- Genos Glycoscience Research Laboratory, Borongajska cesta 83H, Zagreb, Croatia
| | - Maja Hanic
- Genos Glycoscience Research Laboratory, Borongajska cesta 83H, Zagreb, Croatia
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Borongajska cesta 83H, Zagreb, Croatia; University of Zagreb, Faculty of Pharmacy and Biochemistry, Ulica Ante Kovačića 1, Zagreb, Croatia
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Lu X, Wang L, Wang M, Li Y, Zhao Q, Shi Y, Zhang Y, Wang Y, Wang W, Ji L, Hou H, Li D. Association between immunoglobulin G N-glycosylation and lupus nephritis in female patients with systemic lupus erythematosus: a case-control study. Front Immunol 2023; 14:1257906. [PMID: 37809087 PMCID: PMC10552529 DOI: 10.3389/fimmu.2023.1257906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 09/06/2023] [Indexed: 10/10/2023] Open
Abstract
Background Lupus nephritis (LN) is a crucial complication of systemic lupus erythematosus (SLE) and has important clinical implications in guiding treatment. N-glycosylation of immunoglobulin G (IgG) plays a key role in the development of SLE by affecting the balance of anti-inflammatory and proinflammatory responses. This study aimed to evaluate the performance of IgG N-glycosylation for diagnosing LN in a sample of female SLE patients. Methods This case-control study recruited 188 women with SLE, including 94 patients with LN and 94 age-matched patients without LN. The profiles of plasma IgG N-glycans were detected by hydrophilic interaction chromatography with ultra-performance liquid chromatography (HILIC-UPLC). A multivariate logistic regression model was used to explore the associations between IgG N-glycans and LN. A diagnostic model was developed using the significant glycans as well as demographic factors. The performance of IgG N-glycans in the diagnosis of LN was evaluated by receiver operating characteristic (ROC) curve analysis, and the area under the curve (AUC) and its 95% confidence interval (CI) were calculated. Results There were significant differences in 9 initial glycans (GP2, GP4, GP6, GP8, GP10, GP14, GP16, GP18 and GP23) between women with SLE with and without LN (P < 0.05). The levels of sialylated, galactosylated and fucosylated glycans were significantly lower in the LN patients than in the control group, while bisected N-acetylglucosamine (GlcNAc) glycans were increased in LN patients (P < 0.05). GP8, GP10, GP18, and anemia were included in our diagnostic model, which performed well in differentiating female SLE patients with LN from those without LN (AUC = 0.792, 95% CI: 0.727 to 0.858). Conclusion Our findings indicate that decreased sialylation, galactosylation, and core fucosylation and increased bisecting GlcNAc might play a role in the development of LN by upregulating the proinflammatory response of IgG. IgG N-glycans can serve as potential biomarkers to differentiate individuals with LN among SLE patients.
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Affiliation(s)
- Xinxia Lu
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | - Liangao Wang
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | - Meng Wang
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
- Jinshan District Center for Disease Control and Prevention, Shanghai, China
| | - Yuejin Li
- Shandong Institute of Parasitic Diseases, Shandong First Medical University & Shandong Academy of Medical Sciences, Jining, China
| | - Qinqin Zhao
- Department of Geriatric Cognitive Medicine, The Affiliated Taian City Central Hospital of Qingdao University, Taian, China
| | - Yanjun Shi
- Department of Rheumatology and Immunology, Liaocheng People’s Hospital, Liao’cheng, China
| | - Yujing Zhang
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | - Yingjie Wang
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | - Wei Wang
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
- Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia
| | - Long Ji
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
- College of Sports Medicine and Rehabilitation, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai’an, China
| | - Haifeng Hou
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
- Department of Gastroenterology, The Second Affiliated Hospital of Shandong First Medical University, Tai’an, China
| | - Dong Li
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
- Clinical Research Center, The Second Affiliated Hospital of Shandong First Medical University, Tai’an, China
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Feng X, BaiMaYangJin, Mo X, Zhang F, Hu W, Feng Z, Zhang T, Wei L, Lu H. IgG glycomic profiling identifies potential biomarkers for diagnosis of echinococcosis. J Chromatogr B Analyt Technol Biomed Life Sci 2023; 1227:123838. [PMID: 37540936 DOI: 10.1016/j.jchromb.2023.123838] [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: 02/01/2023] [Revised: 06/25/2023] [Accepted: 07/18/2023] [Indexed: 08/06/2023]
Abstract
Echinococcosis caused by larval stage of the genus Echinococcus, is a serious and potentially fatal parasitic zoonosis distributed globally. The two types of the disease in human are cystic echinococcosis (CE) and alveolar echinococcosis (AE). As the biological and encysting characteristics of the parasite, early diagnosis remains to address. In the present study, we demonstrate the value of Immunoglobulin G (IgG) glycome as a potential diagnostic biomarker for echinococcosis. Serum IgG glycome profiles were analyzed by ultra-performance liquid chromatography in a cohort comprised of 127 echinococcosis patients, of them 98 were diagnosed as CE and 29 as AE. IgG N-glycome analysis in pretreatment serum of echinococcosis patients presents 25 glycans and 64 derived traits. Compared with IgG glycans of healthy control group, neutral glycans, fucosylation and agalactosylated N-glycans increased while sialylation and galactosylation decreased in echinococcosis patients. Combined with a machine-learning-based approach, we built three biomarker combinations to distinguish CE, AE and healthy controls. Meanwhile, galactosylation, sialylation and A2BG2S1 in IgG glycan profiles were evidently associated with different types of CE (from CE1 to CE5). Our findings suggest that the alterations in IgG N-glycome may be of value in CE and AE diagnosis and follow-up CE disease progress. The role of IgG N-glycans as diagnostic biomarker remains to be verified in future study.
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Affiliation(s)
- Xiaoxiao Feng
- The Fifth People's Hospital of Shanghai, Institutes of Biomedical Sciences, Shanghai Cancer Center, Department of Chemistry & NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai 200032, People's Republic of China
| | - BaiMaYangJin
- National Health Commission Key Laboratory of Echinococcosis Prevention and Control, Xizang Center for Disease Control and Prevention, Lhasa 850000, Tibet Autonomous Region, People's Republic of China
| | - Xiaojin Mo
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Center for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai 200025, People's Republic of China
| | - Fangyan Zhang
- Waters Technologies, Pudong New District, Shanghai 201203, People's Republic of China
| | - Wei Hu
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Center for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai 200025, People's Republic of China
| | - Zheng Feng
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Center for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai 200025, People's Republic of China
| | - Ting Zhang
- National Health Commission Key Laboratory of Echinococcosis Prevention and Control, Xizang Center for Disease Control and Prevention, Lhasa 850000, Tibet Autonomous Region, People's Republic of China; National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Center for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai 200025, People's Republic of China.
| | - Liming Wei
- The Fifth People's Hospital of Shanghai, Institutes of Biomedical Sciences, Shanghai Cancer Center, Department of Chemistry & NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai 200032, People's Republic of China.
| | - Haojie Lu
- The Fifth People's Hospital of Shanghai, Institutes of Biomedical Sciences, Shanghai Cancer Center, Department of Chemistry & NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai 200032, People's Republic of China.
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Purcell RA, Theisen RM, Arnold KB, Chung AW, Selva KJ. Polyfunctional antibodies: a path towards precision vaccines for vulnerable populations. Front Immunol 2023; 14:1183727. [PMID: 37600816 PMCID: PMC10433199 DOI: 10.3389/fimmu.2023.1183727] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 05/30/2023] [Indexed: 08/22/2023] Open
Abstract
Vaccine efficacy determined within the controlled environment of a clinical trial is usually substantially greater than real-world vaccine effectiveness. Typically, this results from reduced protection of immunologically vulnerable populations, such as children, elderly individuals and people with chronic comorbidities. Consequently, these high-risk groups are frequently recommended tailored immunisation schedules to boost responses. In addition, diverse groups of healthy adults may also be variably protected by the same vaccine regimen. Current population-based vaccination strategies that consider basic clinical parameters offer a glimpse into what may be achievable if more nuanced aspects of the immune response are considered in vaccine design. To date, vaccine development has been largely empirical. However, next-generation approaches require more rational strategies. We foresee a generation of precision vaccines that consider the mechanistic basis of vaccine response variations associated with both immunogenetic and baseline health differences. Recent efforts have highlighted the importance of balanced and diverse extra-neutralising antibody functions for vaccine-induced protection. However, in immunologically vulnerable populations, significant modulation of polyfunctional antibody responses that mediate both neutralisation and effector functions has been observed. Here, we review the current understanding of key genetic and inflammatory modulators of antibody polyfunctionality that affect vaccination outcomes and consider how this knowledge may be harnessed to tailor vaccine design for improved public health.
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Affiliation(s)
- Ruth A. Purcell
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Robert M. Theisen
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States
| | - Kelly B. Arnold
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States
| | - Amy W. Chung
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Kevin J. Selva
- Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
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Sharapov SZ, Timoshchuk AN, Aulchenko YS. Genetic control of N-glycosylation of human blood plasma proteins. Vavilovskii Zhurnal Genet Selektsii 2023; 27:224-239. [PMID: 37293449 PMCID: PMC10244589 DOI: 10.18699/vjgb-23-29] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 01/20/2023] [Accepted: 01/23/2022] [Indexed: 06/10/2023] Open
Abstract
Glycosylation is an important protein modification, which influences the physical and chemical properties as well as biological function of these proteins. Large-scale population studies have shown that the levels of various plasma protein N-glycans are associated with many multifactorial human diseases. Observed associations between protein glycosylation levels and human diseases have led to the conclusion that N-glycans can be considered a potential source of biomarkers and therapeutic targets. Although biochemical pathways of glycosylation are well studied, the understanding of the mechanisms underlying general and tissue-specific regulation of these biochemical reactions in vivo is limited. This complicates both the interpretation of the observed associations between protein glycosylation levels and human diseases, and the development of glycan-based biomarkers and therapeutics. By the beginning of the 2010s, high-throughput methods of N-glycome profiling had become available, allowing research into the genetic control of N-glycosylation using quantitative genetics methods, including genome-wide association studies (GWAS). Application of these methods has made it possible to find previously unknown regulators of N-glycosylation and expanded the understanding of the role of N-glycans in the control of multifactorial diseases and human complex traits. The present review considers the current knowledge of the genetic control of variability in the levels of N-glycosylation of plasma proteins in human populations. It briefly describes the most popular physical-chemical methods of N-glycome profiling and the databases that contain genes involved in the biosynthesis of N-glycans. It also reviews the results of studies of environmental and genetic factors contributing to the variability of N-glycans as well as the mapping results of the genomic loci of N-glycans by GWAS. The results of functional in vitro and in silico studies are described. The review summarizes the current progress in human glycogenomics and suggests possible directions for further research.
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Affiliation(s)
- S Zh Sharapov
- MSU Institute for Artificial Intelligence, Lomonosov Moscow State University, Moscow, Russia
| | - A N Timoshchuk
- MSU Institute for Artificial Intelligence, Lomonosov Moscow State University, Moscow, Russia
| | - Y S Aulchenko
- MSU Institute for Artificial Intelligence, Lomonosov Moscow State University, Moscow, Russia Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
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Plećaš D, Mraz N, Patanaude AM, Pribić T, Pavlinac Dodig I, Pecotić R, Lauc G, Polašek O, Đogaš Z. Not-So-Sweet Dreams: Plasma and IgG N-Glycome in the Severe Form of the Obstructive Sleep Apnea. Biomolecules 2023; 13:880. [PMID: 37371460 DOI: 10.3390/biom13060880] [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: 04/20/2023] [Revised: 05/14/2023] [Accepted: 05/22/2023] [Indexed: 06/29/2023] Open
Abstract
Obstructive sleep apnea (OSA) is a prevalent disease associated with increased risk for cardiovascular and metabolic diseases and shortened lifespan. The aim of this study was to explore the possibility of using N-glycome as a biomarker for the severe form of OSA. Seventy subjects who underwent a whole-night polysomnography/polygraphy and had apnea-hypopnea index (AHI) over 30 were compared to 23 controls (AHI under 5). Plasma samples were used to extract 39 glycan peaks using ultra-high-performance liquid chromatography (UPLC) and 27 IgG peaks using capillary gel electrophoresis (CGE). We also measured glycan age, a molecular proxy for biological aging. Three plasma and one IgG peaks were significant in a multivariate model controlling for the effects of age, sex, and body mass index. These included decreased GP24 (disialylated triantennary glycans as major structure) and GP28 (trigalactosylated, triantennary, disialylated, and trisialylated glycans), and increased GP32 (trisialylated triantennary glycan). Only one IgG glycan peak was significantly increased (P26), which contains biantennary digalactosylated glycans with core fucose. Patients with severe OSA exhibited accelerated biological aging, with a median of 6.9 years more than their chronological age (p < 0.001). Plasma N-glycome can be used as a biomarker for severe OSA.
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Affiliation(s)
- Doris Plećaš
- Mediterranean Institute for Life Sciences, 21000 Split, Croatia
| | - Nikol Mraz
- Genos Glycoscience Ltd., 10000 Zagreb, Croatia
| | | | - Tea Pribić
- Genos Glycoscience Ltd., 10000 Zagreb, Croatia
| | - Ivana Pavlinac Dodig
- Department for Neuroscience, School of Medicine, Sleep Medicine Center, University of Split, 21000 Split, Croatia
| | - Renata Pecotić
- Department for Neuroscience, School of Medicine, Sleep Medicine Center, University of Split, 21000 Split, Croatia
| | - Gordan Lauc
- Genos Glycoscience Ltd., 10000 Zagreb, Croatia
- Faculty of Pharmacy and Biochemistry, University of Zagreb, 10000 Zagreb, Croatia
| | - Ozren Polašek
- Department of Public Health, School of Medicine, University of Split, 21000 Split, Croatia
- Department of General Courses, Algebra University, 10000 Zagreb, Croatia
| | - Zoran Đogaš
- Department for Neuroscience, School of Medicine, Sleep Medicine Center, University of Split, 21000 Split, Croatia
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10
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Xiang T, Qiao M, Xie J, Li Z, Xie H. Emerging Roles of the Unique Molecular Chaperone Cosmc in the Regulation of Health and Disease. Biomolecules 2022; 12:biom12121732. [PMID: 36551160 PMCID: PMC9775496 DOI: 10.3390/biom12121732] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 11/12/2022] [Accepted: 11/13/2022] [Indexed: 11/25/2022] Open
Abstract
The core-1 β1-3galactosyltransferase-specific chaperone 1 (Cosmc) is a unique molecular chaperone of core-1 β1-3galactosyltransferase(C1GALT1), which typically functions inside the endoplasmic reticulum (ER). Cosmc helps C1GALT1 to fold correctly and maintain activity. It also participates in the synthesis of the T antigen, O-glycan, together with C1GALT1. Cosmc is a multifaceted molecule with a wide range of roles and functions. It involves platelet production and the regulation of immune cell function. Besides that, the loss of function of Cosmc also facilitates the development of several diseases, such as inflammation diseases, immune-mediated diseases, and cancer. It suggests that Cosmc is a critical control point in diseases and that it should be regarded as a potential target for oncotherapy. It is essential to fully comprehend Cosmc's roles, as they may provide critical information about its involvement in disease development and pathogenesis. In this review, we summarize the recent progress in understanding the role of Cosmc in normal development and diseases.
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Affiliation(s)
- Ting Xiang
- Hunan Province Key Laboratory of Tumor cellular Molecular Pathology, Cancer Research Institute, Heng yang School of Medicine, University of South China, Hengyang 421009, China
| | - Muchuan Qiao
- Hunan Province Key Laboratory of Tumor cellular Molecular Pathology, Cancer Research Institute, Heng yang School of Medicine, University of South China, Hengyang 421009, China
| | - Jiangbo Xie
- The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Hunan Cancer Hospital, Changsha 410013, China
| | - Zheng Li
- Laboratory for Functional Glycomics, College of Life Sciences, Northwest University, Xi’an 710069, China
- Correspondence: (Z.L.); (H.X.)
| | - Hailong Xie
- Hunan Province Key Laboratory of Tumor cellular Molecular Pathology, Cancer Research Institute, Heng yang School of Medicine, University of South China, Hengyang 421009, China
- Correspondence: (Z.L.); (H.X.)
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Li H, Chiang AWT, Lewis NE. Artificial intelligence in the analysis of glycosylation data. Biotechnol Adv 2022; 60:108008. [PMID: 35738510 PMCID: PMC11157671 DOI: 10.1016/j.biotechadv.2022.108008] [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: 01/08/2022] [Revised: 06/15/2022] [Accepted: 06/16/2022] [Indexed: 11/18/2022]
Abstract
Glycans are complex, yet ubiquitous across biological systems. They are involved in diverse essential organismal functions. Aberrant glycosylation may lead to disease development, such as cancer, autoimmune diseases, and inflammatory diseases. Glycans, both normal and aberrant, are synthesized using extensive glycosylation machinery, and understanding this machinery can provide invaluable insights for diagnosis, prognosis, and treatment of various diseases. Increasing amounts of glycomics data are being generated thanks to advances in glycoanalytics technologies, but to maximize the value of such data, innovations are needed for analyzing and interpreting large-scale glycomics data. Artificial intelligence (AI) provides a powerful analysis toolbox in many scientific fields, and here we review state-of-the-art AI approaches on glycosylation analysis. We further discuss how models can be analyzed to gain mechanistic insights into glycosylation machinery and how the machinery shapes glycans under different scenarios. Finally, we propose how to leverage the gained knowledge for developing predictive AI-based models of glycosylation. Thus, guiding future research of AI-based glycosylation model development will provide valuable insights into glycosylation and glycan machinery.
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Affiliation(s)
- Haining Li
- Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA
| | - Austin W T Chiang
- Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093, USA.
| | - Nathan E Lewis
- Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA; Department of Pediatrics, University of California, San Diego, La Jolla, CA 92093, USA.
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12
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Yang S, Cui M, Liu Q, Liao Q. Glycosylation of immunoglobin G in tumors: Function, regulation and clinical implications. Cancer Lett 2022; 549:215902. [PMID: 36096412 DOI: 10.1016/j.canlet.2022.215902] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 08/30/2022] [Accepted: 08/30/2022] [Indexed: 11/24/2022]
Abstract
Immunoglobulin G (IgG) is the predominant component in humoral immunity and the major effector of neutralizing heterogeneous antigens. Glycosylation, as excessive posttranscriptional modification, can modulate IgG immune function. Glycosylated IgG has been reported to correlate with tumor progression, presenting several characteristic modifications, including the core fucose, galactose, sialic acid, and the bisect N-acetylglucosamine (GlcNAc). Meanwhile, IgG glycosylation regulates tumor immunity involved in tumor progression and is thus a potential target. Herein, we summarized the research progression to provide novel insight into the application of IgG glycosylation in tumor diagnosis and treatment.
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Affiliation(s)
- Sen Yang
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ming Cui
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qiaofei Liu
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Quan Liao
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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13
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Zhang Z, Cao Z, Liu R, Li Z, Wu J, Liu X, Wu M, Xu X, Liu Z. Nomograms Based on Serum N-glycome for Diagnosis of Papillary Thyroid Microcarcinoma and Prediction of Lymph Node Metastasis. Curr Oncol 2022; 29:6018-6034. [PMID: 36135043 PMCID: PMC9497917 DOI: 10.3390/curroncol29090474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 08/10/2022] [Accepted: 08/20/2022] [Indexed: 11/16/2022] Open
Abstract
Non-invasive biomarkers for the diagnosis and prognosis of papillary thyroid microcarcinoma (PTMC) are still urgently needed. We aimed to characterize the N-glycome of PTMC, and establish nomograms for the diagnosis of PTMC and the prediction of lymph node metastasis (LNM). N-glycome of PTMC (LNM vs. non-LNM, capsular invasion (CI) vs. non-CI (NCI)) and matched healthy controls (HC) were quantitatively analyzed based on mass spectrometry. N-glycan traits associated with PTMC/LNM were used to create binomial logistic regression models and were visualized as nomograms. We found serum N-glycome differed between PTMC and HC in high-mannose, complexity, fucosylation, and bisection, of which, four N-glycan traits (TM, CA1, CA4, and A2Fa) were significantly associated with PTMC. The nomogram based on four traits achieved good performance for the identification of PTMC. Two N-glycan traits (CA4 and A2F0S0G) showed strong associations with LNM. The nomogram based on two traits showed relatively good performance in predicting LNM. We also found differences between CI and NCI in several N-glycan traits, which were not the same as that associated with LNM. This study reported serum N-glycosylation signatures of PTMC for the first time. Nomograms constructed from aberrant glycans could be useful tools for PTMC diagnosis and stratification.
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Affiliation(s)
- Zejian Zhang
- Medical Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Zhen Cao
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Rui Liu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Zepeng Li
- Department of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Jianqiang Wu
- Medical Research Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Xiaoli Liu
- Department of Hernia and Abdominal Wall Surgery, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100043, China
| | - Mengwei Wu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Xiequn Xu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
- Correspondence: (X.X.); (Z.L.); Tel.: +86-010-69152620 (X.X.); +86-010-69152620 (Z.L.)
| | - Ziwen Liu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
- Correspondence: (X.X.); (Z.L.); Tel.: +86-010-69152620 (X.X.); +86-010-69152620 (Z.L.)
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Alorda-Clara M, Torrens-Mas M, Morla-Barcelo PM, Martinez-Bernabe T, Sastre-Serra J, Roca P, Pons DG, Oliver J, Reyes J. Use of Omics Technologies for the Detection of Colorectal Cancer Biomarkers. Cancers (Basel) 2022; 14:817. [PMID: 35159084 PMCID: PMC8834235 DOI: 10.3390/cancers14030817] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 01/31/2022] [Accepted: 02/04/2022] [Indexed: 12/14/2022] Open
Abstract
Colorectal cancer (CRC) is one of the most frequently diagnosed cancers with high mortality rates, especially when detected at later stages. Early detection of CRC can substantially raise the 5-year survival rate of patients, and different efforts are being put into developing enhanced CRC screening programs. Currently, the faecal immunochemical test with a follow-up colonoscopy is being implemented for CRC screening. However, there is still a medical need to describe biomarkers that help with CRC detection and monitor CRC patients. The use of omics techniques holds promise to detect new biomarkers for CRC. In this review, we discuss the use of omics in different types of samples, including breath, urine, stool, blood, bowel lavage fluid, or tumour tissue, and highlight some of the biomarkers that have been recently described with omics data. Finally, we also review the use of extracellular vesicles as an improved and promising instrument for biomarker detection.
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Affiliation(s)
- Marina Alorda-Clara
- Grupo Multidisciplinar de Oncología Traslacional, Institut Universitari d’Investigació en Ciències de la Salut (IUNICS), Universitat de les Illes Balears, E-07122 Palma de Mallorca, Illes Balears, Spain; (M.A.-C.); (M.T.-M.); (P.M.M.-B.); (T.M.-B.); (J.S.-S.); (P.R.); (D.G.P.)
- Instituto de Investigación Sanitaria Illes Balears (IdISBa), Hospital Universitario Son Espases, Edificio S, E-07120 Palma de Mallorca, Illes Balears, Spain
| | - Margalida Torrens-Mas
- Grupo Multidisciplinar de Oncología Traslacional, Institut Universitari d’Investigació en Ciències de la Salut (IUNICS), Universitat de les Illes Balears, E-07122 Palma de Mallorca, Illes Balears, Spain; (M.A.-C.); (M.T.-M.); (P.M.M.-B.); (T.M.-B.); (J.S.-S.); (P.R.); (D.G.P.)
- Instituto de Investigación Sanitaria Illes Balears (IdISBa), Hospital Universitario Son Espases, Edificio S, E-07120 Palma de Mallorca, Illes Balears, Spain
- Translational Research in Aging and Longevity (TRIAL) Group, Instituto de Investigación Sanitaria Illes Balears (IdISBa), E-07120 Palma de Mallorca, Illes Balears, Spain
| | - Pere Miquel Morla-Barcelo
- Grupo Multidisciplinar de Oncología Traslacional, Institut Universitari d’Investigació en Ciències de la Salut (IUNICS), Universitat de les Illes Balears, E-07122 Palma de Mallorca, Illes Balears, Spain; (M.A.-C.); (M.T.-M.); (P.M.M.-B.); (T.M.-B.); (J.S.-S.); (P.R.); (D.G.P.)
| | - Toni Martinez-Bernabe
- Grupo Multidisciplinar de Oncología Traslacional, Institut Universitari d’Investigació en Ciències de la Salut (IUNICS), Universitat de les Illes Balears, E-07122 Palma de Mallorca, Illes Balears, Spain; (M.A.-C.); (M.T.-M.); (P.M.M.-B.); (T.M.-B.); (J.S.-S.); (P.R.); (D.G.P.)
- Instituto de Investigación Sanitaria Illes Balears (IdISBa), Hospital Universitario Son Espases, Edificio S, E-07120 Palma de Mallorca, Illes Balears, Spain
| | - Jorge Sastre-Serra
- Grupo Multidisciplinar de Oncología Traslacional, Institut Universitari d’Investigació en Ciències de la Salut (IUNICS), Universitat de les Illes Balears, E-07122 Palma de Mallorca, Illes Balears, Spain; (M.A.-C.); (M.T.-M.); (P.M.M.-B.); (T.M.-B.); (J.S.-S.); (P.R.); (D.G.P.)
- Instituto de Investigación Sanitaria Illes Balears (IdISBa), Hospital Universitario Son Espases, Edificio S, E-07120 Palma de Mallorca, Illes Balears, Spain
- Ciber Fisiopatología Obesidad y Nutrición (CB06/03) Instituto Salud Carlos III, E-28029 Madrid, Madrid, Spain
| | - Pilar Roca
- Grupo Multidisciplinar de Oncología Traslacional, Institut Universitari d’Investigació en Ciències de la Salut (IUNICS), Universitat de les Illes Balears, E-07122 Palma de Mallorca, Illes Balears, Spain; (M.A.-C.); (M.T.-M.); (P.M.M.-B.); (T.M.-B.); (J.S.-S.); (P.R.); (D.G.P.)
- Instituto de Investigación Sanitaria Illes Balears (IdISBa), Hospital Universitario Son Espases, Edificio S, E-07120 Palma de Mallorca, Illes Balears, Spain
- Ciber Fisiopatología Obesidad y Nutrición (CB06/03) Instituto Salud Carlos III, E-28029 Madrid, Madrid, Spain
| | - Daniel Gabriel Pons
- Grupo Multidisciplinar de Oncología Traslacional, Institut Universitari d’Investigació en Ciències de la Salut (IUNICS), Universitat de les Illes Balears, E-07122 Palma de Mallorca, Illes Balears, Spain; (M.A.-C.); (M.T.-M.); (P.M.M.-B.); (T.M.-B.); (J.S.-S.); (P.R.); (D.G.P.)
- Instituto de Investigación Sanitaria Illes Balears (IdISBa), Hospital Universitario Son Espases, Edificio S, E-07120 Palma de Mallorca, Illes Balears, Spain
| | - Jordi Oliver
- Grupo Multidisciplinar de Oncología Traslacional, Institut Universitari d’Investigació en Ciències de la Salut (IUNICS), Universitat de les Illes Balears, E-07122 Palma de Mallorca, Illes Balears, Spain; (M.A.-C.); (M.T.-M.); (P.M.M.-B.); (T.M.-B.); (J.S.-S.); (P.R.); (D.G.P.)
- Instituto de Investigación Sanitaria Illes Balears (IdISBa), Hospital Universitario Son Espases, Edificio S, E-07120 Palma de Mallorca, Illes Balears, Spain
- Ciber Fisiopatología Obesidad y Nutrición (CB06/03) Instituto Salud Carlos III, E-28029 Madrid, Madrid, Spain
| | - Jose Reyes
- Grupo Multidisciplinar de Oncología Traslacional, Institut Universitari d’Investigació en Ciències de la Salut (IUNICS), Universitat de les Illes Balears, E-07122 Palma de Mallorca, Illes Balears, Spain; (M.A.-C.); (M.T.-M.); (P.M.M.-B.); (T.M.-B.); (J.S.-S.); (P.R.); (D.G.P.)
- Instituto de Investigación Sanitaria Illes Balears (IdISBa), Hospital Universitario Son Espases, Edificio S, E-07120 Palma de Mallorca, Illes Balears, Spain
- Servicio Aparato Digestivo, Hospital Comarcal de Inca, E-07300 Inca, Illes Balears, Spain
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Xie Y, Butler M. Construction of InstantPC derivatized glycan GU database: A foundation work for high-throughput and high-sensitivity glycomic analysis. Glycobiology 2021; 32:289-303. [PMID: 34972858 DOI: 10.1093/glycob/cwab128] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 11/08/2021] [Accepted: 11/30/2021] [Indexed: 11/12/2022] Open
Abstract
Glycosylation is well-recognized as a critical quality attribute of biotherapeutics being routinely monitored to ensure desired product quality, safety, and efficacy. Additionally, as one of the most prominent and complex post-translational modifications, glycosylation plays a key role in disease manifestation. Changes in glycosylation may serve as a specific and sensitive biomarker for disease diagnostics and prognostics. However, the conventional 2-aminobenzamide based N-glycosylation analysis procedure is time-consuming and insensitive, with poor reproducibility. We have evaluated an innovative streamlined 96-well-plate-based platform utilizing InstantPC label for high-throughput, high-sensitivity glycan profiling, which is user-friendly, robust, and ready for automation. However, the limited availability of InstantPC labelled glycan standards has significantly hampered the applicability and transferability of this platform for expedited glycan structural profiling. To address this challenge, we have constructed a detailed InstantPC labelled glycan glucose unit database through analysis of human serum and a variety of other glycoproteins from various sources. Following preliminary hydrophilic interaction liquid chromatography with fluorescence detection separation and analysis, glycoproteins with complex glycan profiles were subjected to further fractionation by weak anion exchange hydrophilic interaction liquid chromatography and exoglycosidase sequential digestion for cross-validation of the glycan assignment. Hydrophilic interaction ultra-performance liquid chromatography coupled with electrospray ionization mass spectrometry was subsequently utilised for glycan fragmentation and accurate glycan mass confirmation. The constructed InstantPC glycan GU database is accurate and robust. It is believed that this database will enhance the application of the developed platform for high-throughput, high-sensitivity glycan profiling, and eventually advance glycan-based biopharmaceutical production and disease biomarker discovery.
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Affiliation(s)
- Yongjing Xie
- National Institute for Bioprocessing Research and Training, Foster Avenue, Mount Merrion, Blackrock, Co. Dublin, Ireland
| | - Michael Butler
- National Institute for Bioprocessing Research and Training, Foster Avenue, Mount Merrion, Blackrock, Co. Dublin, Ireland
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16
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Abstract
Glycosylation, one of the most common post-translational modifications in mammalian cells, impacts many biological processes such as cell adhesion, proliferation and differentiation. As the most abundant glycoprotein in human serum, immunoglobulin G (IgG) plays a vital role in immune response and protection. There is a growing body of evidence suggests that IgG structure and function are modulated by attached glycans, especially N-glycans, and aberrant glycosylation is associated with disease states. In this chapter, we review IgG glycan repertoire and function, strategies for profiling IgG N-glycome and recent studies. Mass spectrometry (MS) based techniques are the most powerful tools for profiling IgG glycome. IgG glycans can be divided into high-mannose, biantennary complex and hybrid types, modified with mannosylation, core-fucosylation, galactosylation, bisecting GlcNAcylation, or sialylation. Glycosylation of IgG affects antibody half-life and their affinity and avidity for antigens, regulates crystallizable fragment (Fc) structure and Fcγ receptor signaling, as well as antibody effector function. Because of their critical roles, IgG N-glycans appear to be promising biomarkers for various disease states. Specific IgG glycosylation can convert a pro-inflammatory response to an anti-inflammatory activity. Accordingly, IgG glycoengineering provides a powerful approach to potentially develop effective drugs and treat disease. Based on the understanding of the functional role of IgG glycans, the development of vaccines with enhanced capacity and long-term protection are possible in the near future.
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Peng Y, Gu B, Sun Z, Li Y, Zhang Y, Lu H. Linkage-selective derivatization for glycosylation site- and glycoform-specific characterization of sialic acid isomers using mass spectrometry. Chem Commun (Camb) 2021; 57:9590-9593. [PMID: 34546253 DOI: 10.1039/d1cc04142h] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Here, we developed a linkage-selective derivatization approach for the differentiation and relative quantification of α-2,3- and α-2,6-linked sialic acids in a site- and glycoform-specific manner. Linkage-selective derivatization with isotope molecules discriminates the isomeric glycopeptides easily using MS and provided a tool for biomarker discovery using the quantitative analysis of isomeric glycopeptides.
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Affiliation(s)
- Ye Peng
- Shanghai Cancer Center and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China. .,Department of Chemistry and NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai 200032, China
| | - Bing Gu
- Laboratory Medicine of Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, Guangdo 510000, China.
| | - Zhenyu Sun
- Shanghai Cancer Center and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China.
| | - Yueyue Li
- Shanghai Cancer Center and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China.
| | - Ying Zhang
- Shanghai Cancer Center and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China. .,Department of Chemistry and NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai 200032, China
| | - Haojie Lu
- Shanghai Cancer Center and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China. .,Department of Chemistry and NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai 200032, China
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18
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Tikhonov A, Smoldovskaya O, Feyzkhanova G, Kushlinskii N, Rubina A. Glycan-specific antibodies as potential cancer biomarkers: a focus on microarray applications. Clin Chem Lab Med 2021; 58:1611-1622. [PMID: 32324152 DOI: 10.1515/cclm-2019-1161] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2019] [Accepted: 03/10/2020] [Indexed: 02/06/2023]
Abstract
Glycosylation is one of the most common posttranslational modifications of proteins and lipids. In the case of tumors, cell transformation accompanied by aberrant glycosylation results in the expression of tumor-associated glycans that promote tumor invasion. As part of the innate immunity, anti-glycan antibodies recognize tumor-associated glycans, and these antibodies can be present in the bloodstream in the early stages of cancer. Recently, anti-glycan antibody profiles have been of interest in various cancer studies. Novel advantages in the field of analytical techniques have simplified the analysis of anti-glycan antibodies and made it easier to have more comprehensive knowledge about their functions. One of the robust approaches for studying anti-glycan antibodies engages in microarray technology. The analysis of glycan microarrays can provide more expanded information to simultaneously specify or suggest the role of antibodies to a wide variety of glycans in the progression of different diseases, therefore making it possible to identify new biomarkers for diagnosing cancer and/or the state of the disease. Thus, in this review, we discuss antibodies to various glycans, their application for diagnosing cancer and one of the most promising tools for the investigation of these molecules, microarrays.
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Affiliation(s)
- Aleksei Tikhonov
- Laboratory of Biological Microchips, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Olga Smoldovskaya
- Laboratory of Biological Microchips, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Guzel Feyzkhanova
- Laboratory of Biological Microchips, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Nikolay Kushlinskii
- Laboratory of Clinical Biochemistry, Federal State Budgetary Institution «N.N. Blokhin National Medical Research Center of Oncology» оf the Ministry of Health of the Russian Federation, Moscow, Russia
| | - Alla Rubina
- Laboratory of Biological Microchips, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
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Grace PS, Dolatshahi S, Lu LL, Cain A, Palmieri F, Petrone L, Fortune SM, Ottenhoff THM, Lauffenburger DA, Goletti D, Joosten SA, Alter G. Antibody Subclass and Glycosylation Shift Following Effective TB Treatment. Front Immunol 2021; 12:679973. [PMID: 34290702 PMCID: PMC8287567 DOI: 10.3389/fimmu.2021.679973] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Accepted: 06/07/2021] [Indexed: 11/13/2022] Open
Abstract
With an estimated 25% of the global population infected with Mycobacterium tuberculosis (Mtb), tuberculosis (TB) remains a leading cause of death by infectious diseases. Humoral immunity following TB treatment is largely uncharacterized, and antibody profiling could provide insights into disease resolution. Here we focused on the distinctive TB-specific serum antibody features in active TB disease (ATB) and compared them with latent TB infection (LTBI) or treated ATB (txATB). As expected, di-galactosylated glycan structures (lacking sialic acid) found on IgG-Fc differentiated LTBI from ATB, but also discriminated txATB from ATB. Moreover, TB-specific IgG4 emerged as a novel antibody feature that correlated with active disease, elevated in ATB, but significantly diminished after therapy. These findings highlight 2 novel TB-specific antibody changes that track with the resolution of TB and may provide key insights to guide TB therapy.
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Affiliation(s)
- Patricia S. Grace
- Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University, Cambridge, MA, United States
- Department of Immunology and Infectious Disease, Harvard School of Public Health, Boston, MA, United States
| | - Sepideh Dolatshahi
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, United States
| | - Lenette L. Lu
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Adam Cain
- Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University, Cambridge, MA, United States
| | - Fabrizio Palmieri
- Clinical Department, National Institute for Infectious Diseases (INMI), IRCCS L. Spallanzani, Rome, Italy
| | - Linda Petrone
- Department of Epidemiology and Preclinical Research, National Institute for Infectious Diseases IRCCS (INMI) L. Spallanzani, Rome, Italy
| | - Sarah M. Fortune
- Department of Immunology and Infectious Disease, Harvard School of Public Health, Boston, MA, United States
| | - Tom H. M. Ottenhoff
- Department of Infectious Disease, Leiden University Medical Center, Leiden, Netherlands
| | - Douglas A. Lauffenburger
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Delia Goletti
- Department of Epidemiology and Preclinical Research, National Institute for Infectious Diseases IRCCS (INMI) L. Spallanzani, Rome, Italy
| | - Simone A. Joosten
- Department of Infectious Disease, Leiden University Medical Center, Leiden, Netherlands
| | - Galit Alter
- Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University, Cambridge, MA, United States
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Sun X, Zhan M, Sun X, Liu W, Meng X. C1GALT1 in health and disease. Oncol Lett 2021; 22:589. [PMID: 34149900 PMCID: PMC8200938 DOI: 10.3892/ol.2021.12850] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 05/18/2021] [Indexed: 12/20/2022] Open
Abstract
O-linked glycosylation (O-glycosylation) and N-linked glycosylation (N-glycosylation) are the two most important forms of protein glycosylation, which is an important post-translational modification. The regulation of protein function involves numerous mechanisms, among which protein glycosylation is one of the most important. Core 1 synthase glycoprotein-N-acetylgalactosamine 3-β-galactosyltransferase 1 (C1GALT1) serves an important role in the regulation of O-glycosylation and is an essential enzyme for synthesizing the core 1 structure of mucin-type O-glycans. Furthermore, C1GALT1 serves a vital role in a number of biological functions, such as angiogenesis, platelet production and kidney development. Impaired C1GALT1 expression activity has been associated with different types of human diseases, including inflammatory or immune-mediated diseases, and cancer. O-glycosylation exists in normal tissues, as well as in tumor tissues. Previous studies have revealed that changes in the level of glycosyltransferase in different types of cancer may be used as potential therapeutic targets. Currently, numerous studies have reported the dual role of C1GALT1 in tumors (carcinogenesis and cancer suppression). The present review reports the role of C1GALT1 in normal development and human diseases. Since the mechanism and regulation of C1GALT1 and O-glycosylation remain elusive, further studies are required to elucidate their effects on development and disease.
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Affiliation(s)
- Xiaojie Sun
- Department of Gastroenterology, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China
| | - Mengru Zhan
- Department of Hepatobiliary and Pancreatic Medicine, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China
| | - Xun Sun
- Department of Pathology, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China
| | - Wanqi Liu
- Department of Gastroenterology, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China
| | - Xiangwei Meng
- Department of Gastroenterology, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China
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21
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Liu S, Yu Y, Liu Y, Lin J, Fu Y, Cheng L, Liu X. Revealing the changes of IgG subclass-specific N-glycosylation in colorectal cancer progression by high-throughput assay. Proteomics Clin Appl 2021; 15:e2000022. [PMID: 33599092 DOI: 10.1002/prca.202000022] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 10/26/2020] [Accepted: 12/17/2020] [Indexed: 12/16/2022]
Abstract
PURPOSE The changes of glycosylation of different IgG subclass in colorectal cancer (CRC) were rarely investigated. The authors aimed to use a simple and high-throughput analytical method to explore the changes of subclass-specific IgG glycosylation in CRC, and to find the specific glyco-biomarkers for early detection of this disease. EXPERIMENTAL DESIGN Serum samples from 71 cancer patients and 22 benign patients with 50 age- and sex-matched healthy controls were collected from two independent cohorts. Subclass-specific IgG glycosylation was profiled by MALDI-MS followed by the structural identification through MALDI-MS/MS. The exported MS data was automatically and rapidly processed by the self-developed MATLAB code. RESULTS Statistical analysis suggested the significantly decreased galactosylation and remarkably increased agalactosylation of IgG1 or IgG2 in the malignant transformation of CRC, which enables the differentiation between cancer patients and healthy controls. The changes of glycan features were elucidated by the exploration of individual glycopeptides, showing the biantennary fucosylated glycan without galactose (H3N4F1) or with two galactose (H5N4F1) of IgG1 and IgG2 could distinguish cancer group from both benign and control groups. CONCLUSIONS AND CLINICAL RELEVANCE Through the simple and high-throughput procedures, this study revealed the important role of IgG glycopeptides in the premature pathology of CRC.
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Affiliation(s)
- Si 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, China
| | - Yuting Yu
- Wuhan Institute of Biological products, Wuhan, 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, China
| | - Jiajing Lin
- 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, China
| | - Yang Fu
- 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, China
| | - Liming Cheng
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 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, China
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22
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Amez Martín M, Wuhrer M, Falck D. Serum and Plasma Immunoglobulin G Fc N-Glycosylation Is Stable during Storage. J Proteome Res 2021; 20:2935-2941. [PMID: 33909442 PMCID: PMC8155565 DOI: 10.1021/acs.jproteome.1c00148] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
![]()
Immunoglobulin G
(IgG) glycosylation is studied in biological samples
to develop clinical markers for precision medicine, for example, in
autoimmune diseases and oncology. Inappropriate storage of proteins,
lipids, or metabolites can lead to degradation or modification of
biomolecular features, which can have a strong negative impact on
accuracy and precision of clinical omics studies. Regarding the preservation
of IgG glycosylation, the range of appropriate storage conditions
and time frame is understudied. Therefore, we investigated the effect
of storage on IgG Fc N-glycosylation in the commonly analyzed biofluids,
serum and plasma. Short-term storage and accelerated storage stability
were tested by incubating samples from three healthy donors under
stress conditions of up to 50 °C for 2 weeks using −80
°C for 2 weeks as the reference condition. All tested IgG glycosylation
features—sialylation, galactosylation, bisection, and fucosylation—remained
unchanged up to room temperature as well as during multiple freeze–thaw
cycles and exposure to light. Only when subjected to 37 °C or
50 °C for 2 weeks, galactosylation and sialylation subtly changed.
Therefore, clinical IgG glycosylation analysis does not rely as heavily
on mild serum and plasma storage conditions and timely analysis as
many other omics analyses.
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Affiliation(s)
- Manuela Amez Martín
- Center of Proteomics and Metabolomics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Manfred Wuhrer
- Center of Proteomics and Metabolomics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - David Falck
- Center of Proteomics and Metabolomics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
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23
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Coura MDM, Barbosa EA, Brand GD, Bloch C, de Sousa JB. Identification of Differential N-Glycan Compositions in the Serum and Tissue of Colon Cancer Patients by Mass Spectrometry. BIOLOGY 2021; 10:biology10040343. [PMID: 33923867 PMCID: PMC8074232 DOI: 10.3390/biology10040343] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 03/29/2021] [Accepted: 04/06/2021] [Indexed: 01/08/2023]
Abstract
Simple Summary Incidence of colorectal cancer (CRC) has been rising in Brazil. To date, no reliable biomarker has been described in CRC for diagnosis and prognosis. Modifications in the N-glycosylation profile are usually associated with many cancers, as CRC. In turn, mass spectrometry (MS)-based methods are the most accurate technology in quantification of N-glycans. Therefore, we described a unique pattern of compositions altered in serum and tissues of stages II and III colon cancer patients, identified by MALDI-TOF/MS and LC-MS technology. N-glycans were mostly found decreased in serum whilst oligomannosidic, hypogalactosylated, and tetra-antennary forms were overexpressed in tumor tissues. Total N-glycome in serum of cancer patients was different from the profile found in serum of healthy individuals. Strikingly, no correlation between tissue N-glycosylation profile and serum profile was observed in cancer patients, posing the question where these compositions are originated from. Abstract Colorectal cancer (CRC) ranks second as the leading cause of cancer-related deaths worldwide. N-glycosylation is one of the most common posttranslational protein modifications. Therefore, we studied the total serum N-glycome (TSNG) of 13 colon cancer patients compared to healthy controls using MALDI-TOF/MS and LC-MS. N-glycosylation of cancer tumor samples from the same cohort were further quantified using a similar methodology. In total, 23 N-glycan compositions were down-regulated in the serum of colon cancer patients, mostly galactosylated forms whilst the mannose-rich HexNAc2Hex7, the fucosylated bi-antennary glycan HexNAc4Hex5Fuc1NeuAc2, and the tetra-antennary HexNAc6Hex7NeuAc3 were up-regulated in serum. Hierarchical clustering analysis of TSNG correctly singled out 85% of the patients from controls. Albeit heterogenous, N-glycosylation of tumor samples showed overrepresented oligomannosidic, bi-antennary hypogalactosylated, and branched compositions related to normal colonic tissue, in both MALDI-TOF/MS and LC-MS analysis. Moreover, compositions found upregulated in tumor tissue were mostly uncorrelated to compositions in serum of cancer patients. Mass spectrometry-based N-glycan profiling in serum shows potential in the discrimination of patients from healthy controls. However, the compositions profile in serum showed no parallel with N-glycans in tumor microenvironment, which suggests a different origin of compositions found in serum of cancer patients.
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Affiliation(s)
- Marcelo de M.A. Coura
- Division of Colorectal Surgery, University Hospital of Brasilia, School of Medicine, University of Brasilia, SGAN 605, Brasilia-DF 70840-901, Brazil;
- Correspondence:
| | - Eder A. Barbosa
- Laboratory of Mass Spectrometry, EMBRAPA Genetic Resources and Biotechnology, Parque Estação Biológica, PqEB, Av. W5 Norte, Brasilia-DF 70770-917, Brazil; (E.A.B.); (C.B.J.)
- Laboratory for the Synthesis and Analysis of Biomolecules, Institute of Chemistry, Campus Universitario Darcy Ribeiro, University of Brasilia, Brasilia-DF 70910-900, Brazil;
| | - Guilherme D. Brand
- Laboratory for the Synthesis and Analysis of Biomolecules, Institute of Chemistry, Campus Universitario Darcy Ribeiro, University of Brasilia, Brasilia-DF 70910-900, Brazil;
| | - Carlos Bloch
- Laboratory of Mass Spectrometry, EMBRAPA Genetic Resources and Biotechnology, Parque Estação Biológica, PqEB, Av. W5 Norte, Brasilia-DF 70770-917, Brazil; (E.A.B.); (C.B.J.)
| | - Joao B. de Sousa
- Division of Colorectal Surgery, University Hospital of Brasilia, School of Medicine, University of Brasilia, SGAN 605, Brasilia-DF 70840-901, Brazil;
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24
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Chen S, Qin R, Mahal LK. Sweet systems: technologies for glycomic analysis and their integration into systems biology. Crit Rev Biochem Mol Biol 2021; 56:301-320. [PMID: 33820453 DOI: 10.1080/10409238.2021.1908953] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Found in virtually every organism, glycans are essential molecules that play important roles in almost every aspect of biology. The composition of glycome, the repertoire of glycans in an organism or a biological sample, is often found altered in many diseases, including cancer, infectious diseases, metabolic and developmental disorders. Understanding how glycosylation and glycomic changes enriches our knowledge of the mechanisms of disease progression and sheds light on the development of novel therapeutics. However, the inherent diversity of glycan structures imposes challenges on the experimental characterization of glycomes. Advances in high-throughput glycomic technologies enable glycomic analysis in a rapid and comprehensive manner. In this review, we discuss the analytical methods currently used in high-throughput glycomics, including mass spectrometry, liquid chromatography and lectin microarray. Concomitant with the technical advances is the integration of glycomics into systems biology in the recent years. Herein we elaborate on some representative works from this recent trend to underline the important role of glycomics in such integrated approaches to disease.
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Affiliation(s)
- Shuhui Chen
- Department of Chemistry, New York University, New York City, NY, USA
| | - Rui Qin
- Department of Chemistry, University of Alberta, Edmonton, AB, Canada
| | - Lara K Mahal
- Department of Chemistry, New York University, New York City, NY, USA.,Department of Chemistry, University of Alberta, Edmonton, AB, Canada
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25
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Li Y, Zhao C, Zhao K, Yu N, Li Y, Yu Y, Zhang Y, Song Z, Huang Y, Lu G, Gao Y, Zhang J, Guo X. Glycosylation of Anti-Thyroglobulin IgG1 and IgG4 Subclasses in Thyroid Diseases. Eur Thyroid J 2021; 10:114-124. [PMID: 33981616 PMCID: PMC8077608 DOI: 10.1159/000507699] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Accepted: 03/30/2020] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE Thyroglobulin antibodies (TgAb), principally comprising immunoglobulin G (IgG), are frequently found in healthy individuals. Previously, we showed that the glycosylation levels of TgAb IgG differed across various thyroid diseases, suggesting an important role of glycosylation on antibodies in the pathogenesis of thyroid diseases. Since IgG1 and IgG4 are the primary TgAb IgG subclasses, this study aimed to investigate the glycosylation of TgAb IgG1 and IgG4 subclasses in thyroid diseases. METHODS TgAb IgG was purified by affinity chromatography from the serum of patients with Hashimoto's thyroiditis (HT) (n = 16), Graves' disease (GD) (n = 8), papillary thyroid carcinoma (PTC) (n = 6), and PTC with histological lymphocytic thyroiditis (PTC-T) (n = 9) as well as healthy donors (n = 10). TgAb IgG1 and IgG4 concentrations were determined by enzyme-linked immunosorbent assay, and a lectin microassay was used to assess TgAb IgG1 and IgG4 glycosylation. RESULTS Significantly elevated mannose, sialic acid, and galactose levels on TgAb IgG1 were found in HT and PTC patients compared to GD patients and healthy controls (all p < 0.05). The mannose, sialic acid, and core fucose levels on TgAb IgG1 in PTC-T patients were higher than in healthy controls (all p < 0.05). Additionally, TgAb IgG1 from PTC-T patients exhibited lower sialylation than that from patients with PTC and higher fucosylation than that from patients with HT (both p < 0.05). However, TgAb IgG4 glycosylation did not differ among the five groups (p < 0.05). CONCLUSION Our study describes different distributions of TgAb IgG1 glycosylation in various thyroid diseases. The aberrantly increased glycosylation levels of TgAb IgG1 observed in HT, PTC, and PTC-T might be indicative of immune disorders and participate in the pathogenesis of these diseases.
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Affiliation(s)
- Yuan Li
- Department of Endocrinology, Peking University First Hospital, Beijing, China
| | - Chenxu Zhao
- Department of Endocrinology, Peking University First Hospital, Beijing, China
- Department of Endocrinology, The First Hospital of Hebei Medical University, Shijiazhuang, China
| | - Keli Zhao
- Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- College of Life Science, University of the Chinese Academy of Sciences, Beijing, China
| | - Nan Yu
- Department of Endocrinology, Peking University First Hospital, Beijing, China
| | - Yan Li
- Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- College of Life Science, University of the Chinese Academy of Sciences, Beijing, China
| | - Yang Yu
- Department of Endocrinology, Peking University First Hospital, Beijing, China
| | - Yang Zhang
- Department of Endocrinology, Peking University First Hospital, Beijing, China
| | - Zhijing Song
- Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- College of Life Science, University of the Chinese Academy of Sciences, Beijing, China
| | - Youyuan Huang
- Department of Endocrinology, Peking University First Hospital, Beijing, China
| | - Guizhi Lu
- Department of Endocrinology, Peking University First Hospital, Beijing, China
| | - Ying Gao
- Department of Endocrinology, Peking University First Hospital, Beijing, China
- *Ying Gao, Department of Endocrinology, Peking University First Hospital, No. 8 Xishiku Street, Xicheng District, Beijing 100034 (China),
| | - Junqing Zhang
- Department of Endocrinology, Peking University First Hospital, Beijing, China
| | - Xiaohui Guo
- Department of Endocrinology, Peking University First Hospital, Beijing, China
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26
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Wang J, Huang C, Zhou J, Zhao K, Li Y. Causal link between immunoglobulin G glycosylation and cancer: A potential glycobiomarker for early tumor detection. Cell Immunol 2021; 361:104282. [PMID: 33453507 DOI: 10.1016/j.cellimm.2021.104282] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 12/31/2020] [Accepted: 01/02/2021] [Indexed: 12/20/2022]
Abstract
Changes in immunoglobulin G (IgG) glycan structures are currently believed to closely related to the emergence of cancer. In this review, we summarize the current body of evidence suggesting that differences in serum IgG glycosylation patterns correspond to changes in multiple types of cancer. Modifications include IgG terminal N-link galactosylation, IgG core fucosylation, IgG terminal sialylation, and IgG terminal bisecting N-acetylglucosamine. IgG N-glycomic alterations represent promising novel biomarkers for non-invasive-cancer diagnosis, prognosis, and progression monitoring; they are characterized by high sensitivity and specificity, compensating for previously identified glycobiomarkers.
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Affiliation(s)
- Junyan Wang
- Key Laboratory of Interdisciplinary Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chuncui Huang
- Key Laboratory of Interdisciplinary Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Jinyu Zhou
- Key Laboratory of Interdisciplinary Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Keli Zhao
- Key Laboratory of Interdisciplinary Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yan Li
- Key Laboratory of Interdisciplinary Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
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27
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Choo J, Heo G, Pothoulakis C, Im E. Posttranslational modifications as therapeutic targets for intestinal disorders. Pharmacol Res 2021; 165:105412. [PMID: 33412276 DOI: 10.1016/j.phrs.2020.105412] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 12/14/2020] [Accepted: 12/22/2020] [Indexed: 02/08/2023]
Abstract
A variety of biological processes are regulated by posttranslational modifications. Posttranslational modifications including phosphorylation, ubiquitination, glycosylation, and proteolytic cleavage, control diverse physiological functions in the gastrointestinal tract. Therefore, a better understanding of their implications in intestinal diseases, including inflammatory bowel disease, irritable bowel syndrome, celiac disease, and colorectal cancer would provide a basis for the identification of novel biomarkers as well as attractive therapeutic targets. Posttranslational modifications can be common denominators, as well as distinct biomarkers, characterizing pathological differences of various intestinal diseases. This review provides experimental evidence that identifies changes in posttranslational modifications from patient samples, primary cells, or cell lines in intestinal disorders, and a summary of carefully selected information on the use of pharmacological modulators of protein modifications as therapeutic options.
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Affiliation(s)
- Jieun Choo
- College of Pharmacy, Pusan National University, Busan, 46241, Republic of Korea
| | - Gwangbeom Heo
- College of Pharmacy, Pusan National University, Busan, 46241, Republic of Korea
| | - Charalabos Pothoulakis
- Section of Inflammatory Bowel Disease & Inflammatory Bowel Disease Center, Division of Digestive Diseases, David Geffen School of Medicine, UCLA, Los Angeles, CA, 90095, USA
| | - Eunok Im
- College of Pharmacy, Pusan National University, Busan, 46241, Republic of Korea.
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28
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Abstract
Changes in immunoglobulin G (IgG) glycosylation pattern have been observed in a vast array of auto- and alloimmune, infectious, cardiometabolic, malignant, and other diseases. This chapter contains an updated catalog of over 140 studies within which IgG glycosylation analysis was performed in a disease setting. Since the composition of IgG glycans is known to modulate its effector functions, it is suggested that a changed IgG glycosylation pattern in patients might be involved in disease development and progression, representing a predisposition and/or a functional effector in disease pathology. In contrast to the glycopattern of bulk serum IgG, which likely relates to the systemic inflammatory background, the glycosylation profile of antigen-specific IgG probably plays a direct role in disease pathology in several infectious and allo- and autoimmune antibody-dependent diseases. Depending on the specifics of any given disease, IgG glycosylation read-out might therefore in the future be developed into a useful clinical biomarker or a supplementary to currently used biomarkers.
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Affiliation(s)
- Marija Pezer
- Glycoscience Research Laboratory, Genos Ltd., Zagreb, Croatia.
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29
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Petrović T, Trbojević-Akmačić I. Lectin and Liquid Chromatography-Based Methods for Immunoglobulin (G) Glycosylation Analysis. EXPERIENTIA SUPPLEMENTUM (2012) 2021; 112:29-72. [PMID: 34687007 DOI: 10.1007/978-3-030-76912-3_2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Immunoglobulin (Ig) glycosylation has been shown to dramatically affect its structure and effector functions. Ig glycosylation changes have been associated with different diseases and show a promising biomarker potential for diagnosis and prognosis of disease advancement. On the other hand, therapeutic biomolecules based on structural and functional features of Igs demand stringent quality control during the production process to ensure their safety and efficacy. Liquid chromatography (LC) and lectin-based methods are routinely used in Ig glycosylation analysis complementary to other analytical methods, e.g., mass spectrometry and capillary electrophoresis. This chapter covers analytical approaches based on LC and lectins used in low- and high-throughput N- and O-glycosylation analysis of Igs, with the focus on immunoglobulin G (IgG) applications. General principles and practical examples of the most often used LC methods for Ig purification are described, together with typical workflows for N- and O-glycan analysis on the level of free glycans, glycopeptides, subunits, or intact Igs. Lectin chromatography is a historical approach for the analysis of lectin-carbohydrate interactions and glycoprotein purification but is still being used as a valuable tool in Igs purification and glycan analysis. On the other hand, lectin microarrays have found their application in the rapid screening of glycan profiles on intact proteins.
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Affiliation(s)
- Tea Petrović
- Glycoscience Research Laboratory, Genos Ltd., Zagreb, Croatia
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30
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HIV Antibody Fc N-Linked Glycosylation Is Associated with Viral Rebound. Cell Rep 2020; 33:108502. [PMID: 33326789 DOI: 10.1016/j.celrep.2020.108502] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 07/22/2020] [Accepted: 11/18/2020] [Indexed: 01/01/2023] Open
Abstract
Changes in antibody glycosylation are linked to inflammation across several diseases. Alterations in bulk antibody galactosylation can predict rheumatic flares, act as a sensor for immune activation, predict gastric cancer relapse, track with biological age, shift with vaccination, change with HIV reservoir size on therapy, and decrease in HIV and HCV infections. However, whether changes in antibody Fc biology also track with reservoir rebound time remains unclear. The identification of a biomarker that could forecast viral rebound time could significantly accelerate the downselection and iterative improvement of promising HIV viral eradication strategies. Using a comprehensive antibody Fc-profiling approach, the level of HIV-specific antibody Fc N-galactosylation is significantly associated with time to rebound after treatment discontinuation across three independent cohorts. Thus virus-specific antibody glycosylation may represent a promising, simply measured marker to track reservoir reactivation.
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31
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Higashi M, Yoshimura T, Usui N, Kano Y, Deguchi A, Tanabe K, Uchimura Y, Kuriyama S, Suzuki Y, Masaki T, Ikenaka K. A Potential Serum N-glycan Biomarker for Hepatitis C Virus-Related Early-Stage Hepatocellular Carcinoma with Liver Cirrhosis. Int J Mol Sci 2020; 21:ijms21238913. [PMID: 33255418 PMCID: PMC7727814 DOI: 10.3390/ijms21238913] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 11/20/2020] [Accepted: 11/21/2020] [Indexed: 02/07/2023] Open
Abstract
Detection of early-stage hepatocellular carcinoma (HCC) is beneficial for prolonging patient survival. However, the serum markers currently used show limited ability to identify early-stage HCC. In this study, we explored human serum N-glycans as sensitive markers to diagnose HCC in patients with cirrhosis. Using a simplified fluorescence-labeled N-glycan preparation method, we examined non-sialylated and sialylated N-glycan profiles from 71 healthy controls and 111 patients with hepatitis and/or liver cirrhosis (LC) with or without HCC. We found that the level of serum N-glycan A2G1(6)FB, a biantennary N-glycan containing core fucose and bisecting GlcNAc residues, was significantly higher in hepatitis C virus (HCV)-infected cirrhotic patients with HCC than in those without HCC. In addition, A2G1(6)FB was detectable in HCV-infected patients with early-stage HCC and could be a more accurate marker than alpha-fetoprotein (AFP) or protein induced by vitamin K absence or antagonists-II (PIVKA-II). Moreover, there was no apparent correlation between the levels of A2G1(6)FB and those of AFP or PIVKA-II. Thus, simultaneous use of A2G1(6)FB and traditional biomarkers could improve the accuracy of HCC diagnosis in HCV-infected patients with LC, suggesting that A2G1(6)FB may be a reliable biomarker for early-stage HCC patients.
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Affiliation(s)
- Mikito Higashi
- Division of Neurobiology and Bioinformatics, National Institute for Physiological Sciences, National Institutes of Natural Sciences, Okazaki, Aichi 444-8787, Japan; (M.H.); (Y.K.)
- Mitsubishi Chemical Group Science and Technology Research Center, Yokohama, Kanagawa 227-8502, Japan;
| | - Takeshi Yoshimura
- Division of Neurobiology and Bioinformatics, National Institute for Physiological Sciences, National Institutes of Natural Sciences, Okazaki, Aichi 444-8787, Japan; (M.H.); (Y.K.)
- Department of Physiological Sciences, School of Life Sciences, SOKENDAI (The Graduate University for Advanced Studies), Hayama, Kanagawa 240-0193, Japan
- Department of Child Development and Molecular Brain Science, United Graduate School of Child Development, Osaka University, Suita, Osaka 565-0871, Japan
- Correspondence:
| | - Noriyoshi Usui
- Department of Neuroscience and Cell Biology, Graduate School of Medicine, Osaka University, Suita, Osaka 565-0871, Japan;
- Addiction Research Unit, Osaka Psychiatric Research Center, Osaka Psychiatric Medical Center, Osaka 541-8567, Japan
| | - Yuichiro Kano
- Division of Neurobiology and Bioinformatics, National Institute for Physiological Sciences, National Institutes of Natural Sciences, Okazaki, Aichi 444-8787, Japan; (M.H.); (Y.K.)
| | - Akihiro Deguchi
- Department of Gastroenterology and Neurology, Faculty of Medicine, Kagawa University, Kita-gun, Kagawa 761-0793, Japan; (A.D.); (T.M.)
| | - Kazuhiro Tanabe
- Mitsubishi Chemical Group Science and Technology Research Center, Yokohama, Kanagawa 227-8502, Japan;
| | - Youichi Uchimura
- Mitsubishi Chemical Group Science and Technology Research Center, Yokohama, Kanagawa 227-8502, Japan;
| | - Shigeki Kuriyama
- Department of Gastroenterology and Neurology, Faculty of Medicine, Kagawa University, Kita-gun, Kagawa 761-0793, Japan; (A.D.); (T.M.)
| | - Yasuyuki Suzuki
- Department of Gastroenterological Surgery, Faculty of Medicine, Kagawa University, Kita-gun, Kagawa 761-0793, Japan;
| | - Tsutomu Masaki
- Department of Gastroenterology and Neurology, Faculty of Medicine, Kagawa University, Kita-gun, Kagawa 761-0793, Japan; (A.D.); (T.M.)
| | - Kazuhiro Ikenaka
- Division of Neurobiology and Bioinformatics, National Institute for Physiological Sciences, National Institutes of Natural Sciences, Okazaki, Aichi 444-8787, Japan; (M.H.); (Y.K.)
- Department of Physiological Sciences, School of Life Sciences, SOKENDAI (The Graduate University for Advanced Studies), Hayama, Kanagawa 240-0193, Japan
- Correspondence:
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32
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Black AP, Angel PM, Drake RR, Mehta AS. Antibody Panel Based N-Glycan Imaging for N-Glycoprotein Biomarker Discovery. ACTA ACUST UNITED AC 2020; 98:e99. [PMID: 31721442 DOI: 10.1002/cpps.99] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Antibody panel based N-glycan imaging is a novel platform for N-glycan analysis of immunocaptured proteins. N-glycosylation is a post-translational modification of pathophysiological importance and is often studied in the context of disease biomarkers. Determination of protein-specific N-glycosylation changes in patient samples has traditionally been laborious or limited to study of a single protein per analysis. This novel technique allows for the multiplexed analysis of N-glycoproteins from biofluids. Briefly, this platform consists of antibodies spotted in an array panel to a microscope slide, specific capture of glycoproteins from a biological sample, and then enzymatic release of N-glycans for analysis by matrix-assisted laser desorption/ionization (MALDI) mass spectrometry (MS). N-glycans are detected at each individual spot, allowing N-glycan information to easily be linked back to its protein carrier. Using this protocol, multiplexed analysis of N-glycosylation on serum glycoproteins can be performed. Human serum is discussed here, but this method has potential to be applied to other biofluids and to any glycoprotein that can be captured by a validated antibody. © 2019 by John Wiley & Sons, Inc. Basic Protocol: Antibody panel based N-glycan imaging by MALDI MS Support Protocol: Confirmation of antibody capture by IR-labeled proteins.
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Affiliation(s)
- Alyson P Black
- Department of Cell and Molecular Pharmacology, Medical University of South Carolina, Charleston, South Carolina
| | - Peggi M Angel
- Department of Cell and Molecular Pharmacology, Medical University of South Carolina, Charleston, South Carolina
| | - Richard R Drake
- Department of Cell and Molecular Pharmacology, Medical University of South Carolina, Charleston, South Carolina
| | - Anand S Mehta
- Department of Cell and Molecular Pharmacology, Medical University of South Carolina, Charleston, South Carolina
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33
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Sha S, Handelman G, Liu N, Xie D, Yoon S. At-line N-linked glycan profiling for monoclonal antibodies with advanced sample preparation and high-performance liquid chromatography. J Biosci Bioeng 2020; 130:327-333. [DOI: 10.1016/j.jbiosc.2020.04.009] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2019] [Revised: 04/02/2020] [Accepted: 04/23/2020] [Indexed: 12/17/2022]
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Affiliation(s)
- Khara Lucius
- Khara Lucius, ND, FABNO, is a naturopathic doctor at the Center for Integrative Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
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35
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Lin S, Wang Y, Wang X, Yan B, Lou W, Di W. Serum immunoglobulin G N-glycome: a potential biomarker in endometrial cancer. ANNALS OF TRANSLATIONAL MEDICINE 2020; 8:748. [PMID: 32647673 PMCID: PMC7333120 DOI: 10.21037/atm-20-3504] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Background With the increase in incidence and mortality of endometrial cancer (EC), there is an urgent need to explore non-invasive strategies for identifying EC patients and facilitating risk stratification. The alteration of immunoglobulin G (IgG) N-glycome has been indicated in autoimmune diseases and several cancer types, demonstrating a significant association with disease pathogenesis and progression. However, little has been investigated in the IgG N-glycome of EC patients. Methods A total of 94 EC patients and 112 healthy females were recruited and sorted into an EC cohort and a control cohort. Serum samples were obtained from every participant, and IgG N-glycome profiling was conducted using ultra-performance liquid chromatography (UPLC). Results A total of 24 directly measured N-glycans and 11 derived traits based on the shared glycan structures were analyzed in the EC and control cohorts. We detected a significant downregulation of galactosylation and sialylation in the EC cohort compared with the control cohort, while glycans with bisecting N-acetylglucosamine (GlcNAc) were elevated in EC patients. Receiver operating characteristic (ROC) analysis based on glycan traits showed good diagnostic performance of IgG N-glycans for EC. Furthermore, by exploring the association of IgG N-glycome with prognostic risk factors in EC, we observed that lower levels of galactosylation and sialylation were correlated with high-risk factors including older age, non-endometrioid histologic subtypes, advanced stage, poor differentiation of tumor, and >50% myometrial invasion (MI). Conclusions Our results suggest that the IgG N-glycome profile could be a potential biomarker for EC diagnosis and a promising indicator for prognostic risk factors, and thus may facilitate the early detection of EC and the identification of high-risk patients.
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Affiliation(s)
- Sihan Lin
- Department of Obstetrics and Gynecology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, China.,State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - You Wang
- Department of Obstetrics and Gynecology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, China.,State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xinran Wang
- Department of Obstetrics and Gynecology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, China.,State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Bin Yan
- Department of Obstetrics and Gynecology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, China.,State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Weihua Lou
- Department of Obstetrics and Gynecology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, China.,State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Wen Di
- Department of Obstetrics and Gynecology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.,Shanghai Key Laboratory of Gynecologic Oncology, Shanghai, China.,State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
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36
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Wieczorek M, Braicu EI, Oliveira-Ferrer L, Sehouli J, Blanchard V. Immunoglobulin G Subclass-Specific Glycosylation Changes in Primary Epithelial Ovarian Cancer. Front Immunol 2020; 11:654. [PMID: 32477323 PMCID: PMC7242562 DOI: 10.3389/fimmu.2020.00654] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Accepted: 03/23/2020] [Indexed: 12/18/2022] Open
Abstract
Epithelial ovarian cancer (EOC) was previously shown to be associated with glycosylation changes of total serum and total IgG proteins. However, as a majority of previous studies analyzed released glycan profiles, still little is known about IgG subclass-specific alterations in ovarian cancer. Hence, in this study, we investigated EOC-related glycosylation changes of the three most abundant IgG subclasses, namely, IgG1, IgG2 and IgG3 isolated from sera of 87 EOC patients and 74 age-matched healthy controls. In order to separate IgG2 and IgG3, we performed a two-step affinity purification employing Protein A and Protein G Sepharose. After tryptic digestion, IgG glycopeptides were enriched and measured by MALDI-TOF-MS. Finally, EOC-related glycosylation changes were monitored at the level of total agalactosylation, monogalactosylation, digalactosylation, sialylation, bisection and fucosylation, which were calculated separately for each IgG subclass. Interestingly, aside from an EOC-related increase in agalactosylation/decrease in monogalactosylation and digalactosylation observed in all IgG subclasses, some subclass-specific trends were detected. Glycosylation of IgG1 was found to be most strongly affected in EOC, as it exhibited the highest number of significant differences between healthy controls and EOC patients. Specifically, IgG1 was the only subclass that showed a significant decrease in sialylation and a significant increase in fucosylation in EOC patients. Interestingly, IgG2 and IgG3 that were often investigated collectively in previous studies, were found to have distinct glycosylation patterns. IgG3 displayed stronger EOC-related increase in agalactosylation/decrease in digalactosylation and was characterized by notably higher sialylation, which consequently decreased in EOC patients. In conclusion, our study indicates that IgG subclasses exhibit subtly distinct glycosylation patterns of EOC-related alterations and that IgG1 and IgG3 agalactosylation show the strongest association with CA125, the routine diagnostic marker. Additionally, our results show that simultaneous analyses of IgG2 and IgG3 might lead to wrong conclusions as these two subclasses exhibit noticeably different glycosylation phenotypes.
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Affiliation(s)
- Marta Wieczorek
- Institute of Laboratory Medicine, Clinical Chemistry and Pathobiochemistry, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.,Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin, Berlin, Germany
| | - Elena Ioana Braicu
- Department of Gynecology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, NOGGO Group, Berlin, Germany
| | | | - Jahid Sehouli
- Department of Gynecology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, NOGGO Group, Berlin, Germany
| | - Véronique Blanchard
- Institute of Laboratory Medicine, Clinical Chemistry and Pathobiochemistry, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
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37
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Profiling of isomer-specific IgG N-glycosylation in cohort of Chinese colorectal cancer patients. Biochim Biophys Acta Gen Subj 2020; 1864:129510. [DOI: 10.1016/j.bbagen.2019.129510] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Revised: 11/19/2019] [Accepted: 12/24/2019] [Indexed: 12/24/2022]
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Qin R, Yang Y, Chen H, Qin W, Han J, Gu Y, Pan Y, Cheng X, Zhao J, Wang X, Ren S, Sun Y, Gu J. Prediction of neoadjuvant chemotherapeutic efficacy in patients with locally advanced gastric cancer by serum IgG glycomics profiling. Clin Proteomics 2020; 17:4. [PMID: 32042279 PMCID: PMC7003487 DOI: 10.1186/s12014-020-9267-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2018] [Accepted: 01/25/2020] [Indexed: 12/12/2022] Open
Abstract
Background Neoadjuvant chemotherapy (NACT) could improve prognosis and survival quality of patients with local advanced gastric cancer (LAGC) by providing an opportunity of radical operation for them. However, no effective method could predict the efficacy of NACT before surgery to avoid the potential toxicity, time-consuming and economic burden of ineffective chemotherapy. Some research has been investigated about the correlation between serum IgG glycosylation and gastric cancer, but the question of whether IgG glycome can reflect the tumor response to NACT is still unanswered. Method Serum IgG glycome profiles were analyzed by Ultra Performance Liquid Chromatography in a cohort comprised of 49 LAGC patients of which 25 were categorized as belonging to the NACT response group and 24 patients were assigned to the non-response group. A logistic regression model was constructed to predict the response rate incorporating clinical features and differential N-glycans, while the precision of model was assessed by receiver operating characteristic (ROC) analysis. Results IgG N-glycome analysis in pretreatment serum of LAGC patients comprises 24 directly detected glycans and 17 summarized traits. Compared with IgG glycans of non-response group, agalactosylated N-glycans increased while monosialylated N-glycans and digalactosylated N-glycans decreased in the response group. We constructed a model combining patients' age, histology, chemotherapy regimen, GP4(H3N4F1), GP6(H3N5F1), and GP18(H5N4F1S1), and ROC analysis showed this model has an accurate prediction of NACT response (AUC = 0.840) with the sensitivity of 64.00% and the specificity of 100%. Conclusion We here firstly present the profiling of IgG N-glycans in pretreatment serum of LAGC. The alterations in IgG N-glycome may be personalized biomarkers to predict the response to NACT in LAGC and help to illustrate the relationship between immunity and effect of NACT.
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Affiliation(s)
- Ruihuan Qin
- 1NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032 China.,Chinese Institute for Brain Research, Beijing, 102206 China
| | - Yupeng Yang
- 3Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032 China
| | - Hao Chen
- 3Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032 China
| | - Wenjun Qin
- 1NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032 China
| | - Jing Han
- 1NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032 China
| | - Yong Gu
- 1NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032 China
| | - Yiqing Pan
- 1NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032 China
| | - Xi Cheng
- 4Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, 200032 China
| | - Junjie Zhao
- 3Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032 China
| | - Xuefei Wang
- 3Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032 China
| | - Shifang Ren
- 1NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032 China
| | - Yihong Sun
- 3Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032 China
| | - Jianxin Gu
- 1NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032 China
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Zou Y, Hu J, Jie J, Lai J, Li M, Liu Z, Zou X. Comprehensive analysis of human IgG Fc N-glycopeptides and construction of a screening model for colorectal cancer. J Proteomics 2020; 213:103616. [DOI: 10.1016/j.jprot.2019.103616] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Revised: 12/07/2019] [Accepted: 12/13/2019] [Indexed: 01/19/2023]
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40
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Yehuda S, Padler-Karavani V. Glycosylated Biotherapeutics: Immunological Effects of N-Glycolylneuraminic Acid. Front Immunol 2020; 11:21. [PMID: 32038661 PMCID: PMC6989436 DOI: 10.3389/fimmu.2020.00021] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2019] [Accepted: 01/07/2020] [Indexed: 12/14/2022] Open
Abstract
The emerging field of biotherapeutics provides successful treatments for various diseases, yet immunogenicity and limited efficacy remain major concerns for many products. Glycosylation is a key factor determining the pharmacological properties of biotherapeutics, including their stability, solubility, bioavailability, pharmacokinetics, and immunogenicity. Hence, an increased attention is directed at optimizing the glycosylation properties of biotherapeutics. Currently, most biotherapeutics are produced in non-human mammalian cells in light of their ability to produce human-like glycosylation. However, most mammals produce the sialic acid N-glycolylneuraminic acid (Neu5Gc), while humans cannot due to a specific genetic defect. Humans consume Neu5Gc in their diet from mammalian derived foods (red meat and dairy) and produce polyclonal antibodies against diverse Neu5Gc-glycans. Moreover, Neu5Gc can metabolically incorporate into human cells and become presented on surface or secreted glycans, glycoproteins, and glycolipids. Several studies in mice suggested that the combination of Neu5Gc-containing epitopes and anti-Neu5Gc antibodies could contribute to exacerbation of chronic inflammation-mediated diseases (e.g., cancer, cardiovascular diseases, and autoimmunity). This could potentially become complicated with exposure to Neu5Gc-containing biotherapeutics, bio-devices or xenografts. Indeed, Neu5Gc can be found on various approved and marketed biotherapeutics. Here, we provide a perspective review on the possible consequences of Neu5Gc glycosylation of therapeutic protein drugs due to the limited published evidence of Neu5Gc glycosylation on marketed biotherapeutics and studies on their putative effects on immunogenicity, drug efficacy, and safety.
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Affiliation(s)
- Sharon Yehuda
- Department of Cell Research and Immunology, The George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Vered Padler-Karavani
- Department of Cell Research and Immunology, The George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel
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41
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Hwang H, Jeong HK, Lee HK, Park GW, Lee JY, Lee SY, Kang YM, An HJ, Kang JG, Ko JH, Kim JY, Yoo JS. Machine Learning Classifies Core and Outer Fucosylation of N-Glycoproteins Using Mass Spectrometry. Sci Rep 2020; 10:318. [PMID: 31941975 PMCID: PMC6962204 DOI: 10.1038/s41598-019-57274-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Accepted: 12/27/2019] [Indexed: 12/14/2022] Open
Abstract
Protein glycosylation is known to be involved in biological progresses such as cell recognition, growth, differentiation, and apoptosis. Fucosylation of glycoproteins plays an important role for structural stability and function of N-linked glycoproteins. Although many of biological and clinical studies of protein fucosylation by fucosyltransferases has been reported, structural classification of fucosylated N-glycoproteins such as core or outer isoforms remains a challenge. Here, we report for the first time the classification of N-glycopeptides as core- and outer-fucosylated types using tandem mass spectrometry (MS/MS) and machine learning algorithms such as the deep neural network (DNN) and support vector machine (SVM). Training and test sets of more than 800 MS/MS spectra of N-glycopeptides from the immunoglobulin gamma and alpha 1-acid-glycoprotein standards were selected for classification of the fucosylation types using supervised learning models. The best-performing model had an accuracy of more than 99% against manual characterization and area under the curve values greater than 0.99, which were calculated by probability scores from target and decoy datasets. Finally, this model was applied to classify fucosylated N-glycoproteins from human plasma. A total of 82N-glycopeptides, with 54 core-, 24 outer-, and 4 dual-fucosylation types derived from 54 glycoproteins, were commonly classified as the same type in both the DNN and SVM. Specifically, outer fucosylation was dominant in tri- and tetra-antennary N-glycopeptides, while core fucosylation was dominant in the mono-, bi-antennary and hybrid types of N-glycoproteins in human plasma. Thus, the machine learning methods can be combined with MS/MS to distinguish between different isoforms of fucosylated N-glycopeptides.
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Affiliation(s)
- Heeyoun Hwang
- Research Center for Bioconvergence Analysis, Korea Basic Science Institute, Cheongju, 28119, Republic of Korea
| | - Hoi Keun Jeong
- Research Center for Bioconvergence Analysis, Korea Basic Science Institute, Cheongju, 28119, Republic of Korea.,Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon, 34134, Republic of Korea
| | - Hyun Kyoung Lee
- Research Center for Bioconvergence Analysis, Korea Basic Science Institute, Cheongju, 28119, Republic of Korea.,Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon, 34134, Republic of Korea
| | - Gun Wook Park
- Research Center for Bioconvergence Analysis, Korea Basic Science Institute, Cheongju, 28119, Republic of Korea
| | - Ju Yeon Lee
- Research Center for Bioconvergence Analysis, Korea Basic Science Institute, Cheongju, 28119, Republic of Korea
| | - Soo Youn Lee
- Research Center for Bioconvergence Analysis, Korea Basic Science Institute, Cheongju, 28119, Republic of Korea
| | - Young-Mook Kang
- Drug Information Platform Center, Korea Research Institute of Chemical Technology, Daejeon, 34114, Korea
| | - Hyun Joo An
- Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon, 34134, Republic of Korea.,Asia Glycomics Reference Site, Chungnam National University, Daejeon, 34134, Republic of Korea
| | - Jeong Gu Kang
- Genome Editing Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, 34141, Republic of Korea
| | - Jeong-Heon Ko
- Genome Editing Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, 34141, Republic of Korea.,Department of Biomolecular Science, Korea University of Science and Technology (UST), Daejeon, 34113, Republic of Korea
| | - Jin Young Kim
- Research Center for Bioconvergence Analysis, Korea Basic Science Institute, Cheongju, 28119, Republic of Korea.
| | - Jong Shin Yoo
- Research Center for Bioconvergence Analysis, Korea Basic Science Institute, Cheongju, 28119, Republic of Korea. .,Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon, 34134, Republic of Korea.
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42
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Liu S, Fu Y, Huang Z, Liu Y, Liu BF, Cheng L, Liu X. A comprehensive analysis of subclass-specific IgG glycosylation in colorectal cancer progression by nanoLC-MS/MS. Analyst 2020; 145:3136-3147. [DOI: 10.1039/d0an00369g] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Colorectal cancer is associated with changed IgG glycosylation, but the alteration in specific subclasses of IgG is unknown.
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Affiliation(s)
- Si Liu
- Britton Chance Center for Biomedical Photonics 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
| | - Yang Fu
- Britton Chance Center for Biomedical Photonics 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
| | - Zhiwen Huang
- Britton Chance Center for Biomedical Photonics 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
| | - Yuanyuan Liu
- Britton Chance Center for Biomedical Photonics 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
| | - Bi-Feng Liu
- Britton Chance Center for Biomedical Photonics 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
| | - Liming Cheng
- Department of Laboratory Medicine
- Tongji Hospital
- Tongji Medical College
- Huzhong University of Science and Technology
- China
| | - Xin Liu
- Britton Chance Center for Biomedical Photonics 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
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Adua E, Memarian E, Russell A, Trbojević-Akmačić I, Gudelj I, Jurić J, Roberts P, Lauc G, Wang W. Utilization of N-glycosylation profiles as risk stratification biomarkers for suboptimal health status and metabolic syndrome in a Ghanaian population. Biomark Med 2019; 13:1273-1287. [DOI: 10.2217/bmm-2019-0005] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Aim: The study sought to apply N-glycosylation profiles to understand the interplay between suboptimal health status (SHS) and metabolic syndrome (MetS). Materials & methods: In this study, 262 Ghanaians were recruited from May to July 2016. After completing a health survey, plasma samples were collected for clinical assessments while ultra performance liquid chromatography was used to measure plasma N-glycans. Results: Four glycan peaks were found to predict case status (MetS and SHS) using a step-wise Akaike’s information criterion logistic regression model selection. This model yielded an area under the curve of MetS: 83.1% (95% CI: 78.0–88.1%) and SHS: 67.1% (60.6–73.7%). Conclusion: Our results show that SHS is a significant, albeit modest, risk factor for MetS and N-glycan complexity was associated with MetS.
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Affiliation(s)
- Eric Adua
- School of Medical & Health Sciences, Edith Cowan University, WA 6027, Australia
| | - Elham Memarian
- Genos Glycoscience Research Laboratory, Zagreb 10000, Croatia
| | - Alyce Russell
- School of Medical & Health Sciences, Edith Cowan University, WA 6027, Australia
| | | | - Ivan Gudelj
- Genos Glycoscience Research Laboratory, Zagreb 10000, Croatia
| | - Julija Jurić
- Genos Glycoscience Research Laboratory, Zagreb 10000, Croatia
| | - Peter Roberts
- School of Medical & Health Sciences, Edith Cowan University, WA 6027, Australia
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb 10000, Croatia
- University of Zagreb, Faculty of Pharmacy & Biochemistry, Zagreb 10000, Croatia
| | - Wei Wang
- School of Medical & Health Sciences, Edith Cowan University, WA 6027, Australia
- School of Public Health, Taishan Medical University, Shandong, Taian 271000, PR China
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing 100069, PR China
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Axford J, Alavi A, Cummings R, Lauc G, Opdenakker G, Reis C, Rudd P. Translational glycobiology: from bench to bedside. J R Soc Med 2019; 112:424-427. [PMID: 31526214 DOI: 10.1177/0141076819865863] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
The importance of sugars to protein function is real and is of significant clinical relevance. Technology advances enable large population studies to be carried out, shedding light on individual sugar variation and variations with time. Three-dimensional mass spectroscopy on solid pathological specimens is going to open up a whole new world of pathology visualisation. The door is now open to exploit carbohydrate recognition in new therapeutics by identifying novel biomarkers in cancer to aid diagnosis, and also providing therapeutic targets for treatment. Glycan age correlates with biological age. This means we can map the reversal of biological age with exercise and diet.
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Affiliation(s)
- John Axford
- The Molecular and Clinical Sciences Research Institute, St George's University of London, London SW17 0RE, UK
| | - Azita Alavi
- The Molecular and Clinical Sciences Research Institute, St George's University of London, London SW17 0RE, UK
| | - Rick Cummings
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston 02115, USA
| | - Gordan Lauc
- Faculty of Pharmacy and Biochemistry, University of Zagreb, HR-10000 Zagreb, Croatia
| | - Ghislain Opdenakker
- Department of Microbiology and Immunology, University of Leuven, KU Leuven, BE-3000 Leuven, Belgium
| | - Celso Reis
- Institute of Molecular Pathology and Immunology, University of Porto, 4200-135 Porto, Portugal
| | - Pauline Rudd
- National Institute for Bioprocessing Research and Training, Dublin A94 X099, Ireland
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45
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Li F, Ding J. Sialylation is involved in cell fate decision during development, reprogramming and cancer progression. Protein Cell 2019; 10:550-565. [PMID: 30478534 PMCID: PMC6626595 DOI: 10.1007/s13238-018-0597-5] [Citation(s) in RCA: 105] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2018] [Accepted: 10/31/2018] [Indexed: 01/01/2023] Open
Abstract
Sialylation, or the covalent addition of sialic acid to the terminal end of glycoproteins, is a biologically important modification that is involved in embryonic development, neurodevelopment, reprogramming, oncogenesis and immune responses. In this review, we have given a comprehensive overview of the current literature on the involvement of sialylation in cell fate decision during development, reprogramming and cancer progression. Sialylation is essential for early embryonic development and the deletion of UDP-GlcNAc 2-epimerase, a rate-limiting enzyme in sialic acid biosynthesis, is embryonically lethal. Furthermore, the sialyltransferase ST6GAL1 is required for somatic cell reprogramming, and its downregulation is associated with decreased reprogramming efficiency. In addition, sialylation levels and patterns are altered during cancer progression, indicating the potential of sialylated molecules as cancer biomarkers. Taken together, the current evidences demonstrate that sialylation is involved in crucial cell fate decision.
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Affiliation(s)
- Fenjie Li
- Program in Stem Cell and Regenerative Medicine, The Third Affiliated Hospital of Sun Yat-Sen University, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Department of Cell Biology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China
| | - Junjun Ding
- Program in Stem Cell and Regenerative Medicine, The Third Affiliated Hospital of Sun Yat-Sen University, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Department of Cell Biology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China.
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46
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Yau LF, Liu J, Jiang M, Bai G, Wang JR, Jiang ZH. An integrated approach for comprehensive profiling and quantitation of IgG-Fc glycopeptides with application to rheumatoid arthritis. J Chromatogr B Analyt Technol Biomed Life Sci 2019; 1122-1123:64-72. [DOI: 10.1016/j.jchromb.2019.05.027] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Revised: 05/22/2019] [Accepted: 05/26/2019] [Indexed: 11/29/2022]
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Sharapov SZ, Tsepilov YA, Klaric L, Mangino M, Thareja G, Shadrina AS, Simurina M, Dagostino C, Dmitrieva J, Vilaj M, Vuckovic F, Pavic T, Stambuk J, Trbojevic-Akmacic I, Kristic J, Simunovic J, Momcilovic A, Campbell H, Doherty M, Dunlop MG, Farrington SM, Pucic-Bakovic M, Gieger C, Allegri M, Louis E, Georges M, Suhre K, Spector T, Williams FMK, Lauc G, Aulchenko YS. Defining the genetic control of human blood plasma N-glycome using genome-wide association study. Hum Mol Genet 2019; 28:2062-2077. [PMID: 31163085 PMCID: PMC6664388 DOI: 10.1093/hmg/ddz054] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Revised: 03/01/2019] [Accepted: 03/06/2019] [Indexed: 01/10/2023] Open
Abstract
Glycosylation is a common post-translational modification of proteins. Glycosylation is associated with a number of human diseases. Defining genetic factors altering glycosylation may provide a basis for novel approaches to diagnostic and pharmaceutical applications. Here we report a genome-wide association study of the human blood plasma N-glycome composition in up to 3811 people measured by Ultra Performance Liquid Chromatography (UPLC) technology. Starting with the 36 original traits measured by UPLC, we computed an additional 77 derived traits leading to a total of 113 glycan traits. We studied associations between these traits and genetic polymorphisms located on human autosomes. We discovered and replicated 12 loci. This allowed us to demonstrate an overlap in genetic control between total plasma protein and IgG glycosylation. The majority of revealed loci contained genes that encode enzymes directly involved in glycosylation (FUT3/FUT6, FUT8, B3GAT1, ST6GAL1, B4GALT1, ST3GAL4, MGAT3 and MGAT5) and a known regulator of plasma protein fucosylation (HNF1A). However, we also found loci that could possibly reflect other more complex aspects of glycosylation process. Functional genomic annotation suggested the role of several genes including DERL3, CHCHD10, TMEM121, IGH and IKZF1. The hypotheses we generated may serve as a starting point for further functional studies in this research area.
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Affiliation(s)
- Sodbo Zh Sharapov
- Institute of Cytology and Genetics SB RAS, Prospekt Lavrentyeva 10, Novosibirsk, Russia
- Novosibirsk State University, 1, Pirogova str., Novosibirsk, Russia
| | - Yakov A Tsepilov
- Institute of Cytology and Genetics SB RAS, Prospekt Lavrentyeva 10, Novosibirsk, Russia
- Novosibirsk State University, 1, Pirogova str., Novosibirsk, Russia
| | - Lucija Klaric
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Crewe Road South, Edinburgh, UK
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, Zagreb, Croatia
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King’s College London, St Thomas’ Campus, London, UK
- NIHR Biomedical Research Centre at Guy’s and St Thomas’ Foundation Trust, London, UK
| | - Gaurav Thareja
- Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
| | | | - Mirna Simurina
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Ante Kovacica 1, Zagreb, Croatia
| | - Concetta Dagostino
- Department of Medicine and Surgery, University of Parma, Via Gramsci 14, Parma, Italy
| | - Julia Dmitrieva
- Unit of Animal Genomics, WELBIO, GIGA-R and Faculty of Veterinary Medicine, University of Liège, Liège, Belgium
| | - Marija Vilaj
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, Zagreb, Croatia
| | - Frano Vuckovic
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, Zagreb, Croatia
| | - Tamara Pavic
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Ante Kovacica 1, Zagreb, Croatia
| | - Jerko Stambuk
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, Zagreb, Croatia
| | | | - Jasminka Kristic
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, Zagreb, Croatia
| | - Jelena Simunovic
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, Zagreb, Croatia
| | - Ana Momcilovic
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, Zagreb, Croatia
| | - Harry Campbell
- Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UK
- Colon Cancer Genetics Group, MRC Human Genetics Unit, MRC Institute of Genetics & Molecular Medicine, Western General Hospital, The University of Edinburgh, Edinburgh, UK
| | - Margaret Doherty
- Institute of Technology Sligo, Department of Life Sciences, Sligo, Ireland
- National Institute for Bioprocessing Research & Training, Dublin, Ireland
| | - Malcolm G Dunlop
- Colon Cancer Genetics Group, MRC Human Genetics Unit, MRC Institute of Genetics & Molecular Medicine, Western General Hospital, The University of Edinburgh, Edinburgh, UK
| | - Susan M Farrington
- Colon Cancer Genetics Group, MRC Human Genetics Unit, MRC Institute of Genetics & Molecular Medicine, Western General Hospital, The University of Edinburgh, Edinburgh, UK
| | - Maja Pucic-Bakovic
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, Zagreb, Croatia
| | - Christian Gieger
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Centre Munich, German Research Center for Environmental Health, Ingolstädter Landstr. 1, Neuherberg, Germany
| | - Massimo Allegri
- Pain Therapy Department, Policlinico Monza Hospital, Monza, Italy
| | - Edouard Louis
- CHU-Liège and Unit of Gastroenterology, GIGA-R and Faculty of Medicine, University of Liège, 1 Avenue de l’Hôpital, Liège, Belgium
| | - Michel Georges
- Unit of Animal Genomics, WELBIO, GIGA-R and Faculty of Veterinary Medicine, University of Liège, Liège, Belgium
| | - Karsten Suhre
- Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
| | - Tim Spector
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King’s College London, St Thomas’ Campus, London, UK
| | - Frances M K Williams
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King’s College London, St Thomas’ Campus, London, UK
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Borongajska cesta 83h, Zagreb, Croatia
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Ante Kovacica 1, Zagreb, Croatia
| | - Yurii S Aulchenko
- Institute of Cytology and Genetics SB RAS, Prospekt Lavrentyeva 10, Novosibirsk, Russia
- Novosibirsk State University, 1, Pirogova str., Novosibirsk, Russia
- PolyOmica, Het Vlaggeschip 61, PA 's-Hertogenbosch, The Netherlands
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Complex N-glycan breakdown by gut Bacteroides involves an extensive enzymatic apparatus encoded by multiple co-regulated genetic loci. Nat Microbiol 2019; 4:1571-1581. [PMID: 31160824 DOI: 10.1038/s41564-019-0466-x] [Citation(s) in RCA: 98] [Impact Index Per Article: 19.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Accepted: 04/24/2019] [Indexed: 02/08/2023]
Abstract
Glycans are the major carbon sources available to the human colonic microbiota. Numerous N-glycosylated proteins are found in the human gut, from both dietary and host sources, including immunoglobulins such as IgA that are secreted into the intestine at high levels. Here, we show that many mutualistic gut Bacteroides spp. have the capacity to utilize complex N-glycans (CNGs) as nutrients, including those from immunoglobulins. Detailed mechanistic studies using transcriptomic, biochemical, structural and genetic techniques reveal the pathway employed by Bacteroides thetaiotaomicron (Bt) for CNG degradation. The breakdown process involves an extensive enzymatic apparatus encoded by multiple non-adjacent loci and comprises 19 different carbohydrate-active enzymes from different families, including a CNG-specific endo-glycosidase activity. Furthermore, CNG degradation involves the activity of carbohydrate-active enzymes that have previously been implicated in the degradation of other classes of glycan. This complex and diverse apparatus provides Bt with the capacity to access the myriad different structural variants of CNGs likely to be found in the intestinal niche.
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Qin R, Yang Y, Qin W, Han J, Chen H, Zhao J, Zhao R, Li C, Gu Y, Pan Y, Wang X, Ren S, Sun Y, Gu J. The Value of Serum Immunoglobulin G Glycome in the Preoperative Discrimination of Peritoneal Metastasis from Advanced Gastric Cancer. J Cancer 2019; 10:2811-2821. [PMID: 31258789 PMCID: PMC6584920 DOI: 10.7150/jca.31380] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2018] [Accepted: 05/08/2019] [Indexed: 12/16/2022] Open
Abstract
Background: Peritoneal metastasis, associated with poor prognosis in gastric cancer, is difficult to discriminate from advanced gastric cancer preoperatively. However, operative diagnosis could bring both mental and physical trauma and economic burden for patients. Consequently, a non-invasive biomarker is necessary to reduce the burden of operative diagnosis and improve survival quality of patients. This study aims to elucidate the correlation between Immunoglobulin G (IgG) N-glycome and peritoneal metastasis and find potential biomarkers in preoperative discrimination of peritoneal metastasis from advanced gastric cancer based on the comprehensive sample set. Methods: A total of 373 gastric cancer patients were enrolled and randomly sorted into training cohort (n=249) and validation cohort (n=124). The IgG N-glycome composition was analyzed by ultra-performance liquid chromatography. Results: Twenty-four glycan peaks were directly detected and 15 traits based on the same structures were evaluated between peritoneal metastasis group and advanced gastric cancer group. Several differences in IgG glycosylation were found: sialylation and fucosylation were increased in peritoneal metastasis, while neutral glycosylation, monogalacosylation and bisecting GlcNAc were decreased. Based on the significant glycomics profile, a glyco-model composed of five glycan peaks (GP6, GP9, GP11, GP21 and GP23) was established with area under the receiver operating characteristic curve (AUC) value of 0.80 (training cohort) and 0.77 (validation cohort), which showed good potential in discriminating peritoneal metastasis from advanced gastric cancer. The diagnostic performance of this model was further validated in a combined cohort (AUC=0.79). Two patients with gastric cancer were selected to perform and demonstrate the usage of the diagnostic workflow. Conclusions: Here we firstly present IgG glycome profiles in a large number of preoperative peritoneal metastasis serums. The IgG glycan was highly associated with peritoneal metastasis. These findings enhance the understanding of peritoneal metastasis. Besides, our results suggested that the newly established glyco-model could be a reliable predictor of the presence of peritoneal metastasis in patients with advanced gastric cancer.
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Affiliation(s)
- Ruihuan Qin
- NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Yupeng Yang
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Wenjun Qin
- NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Jing Han
- NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Hao Chen
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Junjie Zhao
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Ran Zhao
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai, China
| | - Can Li
- NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Yong Gu
- NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Yiqing Pan
- NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Xuefei Wang
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Shifang Ren
- NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Yihong Sun
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jianxin Gu
- NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, China
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Han J, Gong GZ, Lei JH, Qin WJ, Qin RH, Wang XY, Gu JX, Ren SF, Wen YM. Response to immune complex vaccine in chronic hepatitis B patients is associated with lower baseline level of serum IgG galactosylation. Medicine (Baltimore) 2019; 98:e16208. [PMID: 31261570 PMCID: PMC6617443 DOI: 10.1097/md.0000000000016208] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
The composition of glycan in immunoglobulin G (IgG) has shown to affect various diseases and can be regulated by drugs and preventive vaccination. A hepatitis B surface antigen (HBsAg)-hepatitis B immunoglobulin (HBIG) immune complex (YIC) therapeutic vaccine for chronic hepatitis B (CHB) patients has undergone clinical trials. To explore for markers of CHB, which could be associated with responsiveness to YIC therapeutic vaccine, serum IgG glycosylation in CHB patients was analyzed.Kinetic changes of serum galactosylated IgG in 53 hepatitis Be antigen (HBeAg)-positive CHB patients treated with YIC were monitored by matrix-assisted laser desorption/ionization (MALDI) mass spectrometry (MS) analysis. Whole blood cytokines were assayed by cytokine binding assay kits. All samples were back assayed before treatment, during therapy and follow-up for 6 months from a previous completed clinical trial.During YIC treatment, 26 patients with lower IgG galactosylation level at baseline [galactosylation level (Gal-ratio) = -0.29, 0.18 (mean, SD)] showed sustained increase of serum galactosylated IgG, and responded to YIC treatment by HBeAg seroconversion. While those who did not respond to YIC treatment [Gal-ratio = -0.40, 0.15 (mean, SD)] failed to show similar changes. Furthermore, this kinetic increase of galactosylated IgG correlated with marked up-regulated IL-2 level, confirming that effective cellular immune responses have participated in responsiveness.For HBeAg-positive CHB patients lower serum IgG galactosylation level may serve as an indicator for selecting a suitable subpopulation of candidates for YIC therapeutic vaccination.
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Affiliation(s)
- Jing Han
- Department of Biochemistry and Molecular Biology, NHC Key Laboratory of Glycoconjugates Research, School of Basic Medical Sciences, Shanghai Medical College, Fudan University
| | - Guo-Zhong Gong
- Department of Infectious Diseases, the Second Xiangya Hospital, Central South University, Changsha
| | - Jian-Hua Lei
- Department of Infectious Diseases, the Second Xiangya Hospital, Central South University, Changsha
| | - Wen-Jun Qin
- Department of Biochemistry and Molecular Biology, NHC Key Laboratory of Glycoconjugates Research, School of Basic Medical Sciences, Shanghai Medical College, Fudan University
| | - Rui-Huan Qin
- Department of Biochemistry and Molecular Biology, NHC Key Laboratory of Glycoconjugates Research, School of Basic Medical Sciences, Shanghai Medical College, Fudan University
| | - Xuan-Yi Wang
- Key Laboratory Medical Molecular Virology, Ministry of Education/Health, School of Basic Medical Sciences, Shanghai Medical College, Fudan University
- The Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, People's Republic of China
| | - Jian-Xin Gu
- Department of Biochemistry and Molecular Biology, NHC Key Laboratory of Glycoconjugates Research, School of Basic Medical Sciences, Shanghai Medical College, Fudan University
| | - Shi-Fang Ren
- Department of Biochemistry and Molecular Biology, NHC Key Laboratory of Glycoconjugates Research, School of Basic Medical Sciences, Shanghai Medical College, Fudan University
| | - Yu-Mei Wen
- Key Laboratory Medical Molecular Virology, Ministry of Education/Health, School of Basic Medical Sciences, Shanghai Medical College, Fudan University
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