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Dojcsák D, Farkas F, Farkas T, Papp J, Garami A, Viskolcz B, Váradi C. The Impact of Protein Glycosylation on the Identification of Patients with Pediatric Appendicitis. Int J Mol Sci 2024; 25:6432. [PMID: 38928139 PMCID: PMC11204372 DOI: 10.3390/ijms25126432] [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: 05/03/2024] [Revised: 06/05/2024] [Accepted: 06/08/2024] [Indexed: 06/28/2024] Open
Abstract
The identification of pediatric appendicitis is challenging due to the lack of specific markers thereby several factors are included in the diagnostic process such as abdominal pain, ultrasonography and altered laboratory parameters (C reactive protein, absolute neutrophil cell number and white blood cell number). The glycosylation pattern of serum N-glycome was analyzed in this study of 38 controls and 40 patients with pediatric appendicitis. The glycans were released by enzymatic deglycosylation followed by fluorescent labeling and solid-phase extraction. The prepared samples were analyzed by hydrophilic interaction liquid chromatography with fluorescence and mass-spectrometric detection. The generated data were analyzed by multiple statistical tests involving the most important laboratory parameters as well. Significant differences associated with the examined patient groups were revealed suggesting the potential use of glycosylation analysis supporting the detection of pediatric appendicitis.
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Affiliation(s)
- Dalma Dojcsák
- Advanced Materials and Intelligent Technologies Higher Education and Industrial Cooperation Centre, University of Miskolc, 3515 Miskolc, Hungary; (D.D.); (B.V.)
| | - Flóra Farkas
- Borsod-Abaúj-Zemplén County Center Hospital and University Teaching Hospital, 3526 Miskolc, Hungary; (F.F.); (T.F.); (J.P.)
| | - Tamás Farkas
- Borsod-Abaúj-Zemplén County Center Hospital and University Teaching Hospital, 3526 Miskolc, Hungary; (F.F.); (T.F.); (J.P.)
| | - János Papp
- Borsod-Abaúj-Zemplén County Center Hospital and University Teaching Hospital, 3526 Miskolc, Hungary; (F.F.); (T.F.); (J.P.)
| | - Attila Garami
- Institute of Energy, Ceramic and Polymer Technology, University of Miskolc, 3515 Miskolc, Hungary;
| | - Béla Viskolcz
- Advanced Materials and Intelligent Technologies Higher Education and Industrial Cooperation Centre, University of Miskolc, 3515 Miskolc, Hungary; (D.D.); (B.V.)
- Institute of Chemistry, Faculty of Materials Science and Engineering, University of Miskolc, 3515 Miskolc, Hungary
| | - Csaba Váradi
- Institute of Chemistry, Faculty of Materials Science and Engineering, University of Miskolc, 3515 Miskolc, Hungary
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2
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Pongracz T, Biewenga M, Stoelinga AEC, Bladergroen MR, Nicolardi S, Trouw LA, Wuhrer M, de Haan N, van Hoek B. Autoimmune hepatitis displays distinctively high multi-antennary sialylation on plasma N-glycans compared to other liver diseases. J Transl Med 2024; 22:456. [PMID: 38745252 PMCID: PMC11092172 DOI: 10.1186/s12967-024-05173-z] [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: 11/03/2023] [Accepted: 04/05/2024] [Indexed: 05/16/2024] Open
Abstract
BACKGROUND Changes in plasma protein glycosylation are known to functionally affect proteins and to associate with liver diseases, including cirrhosis and hepatocellular carcinoma. Autoimmune hepatitis (AIH) is a liver disease characterized by liver inflammation and raised serum levels of IgG, and is difficult to distinguish from other liver diseases. The aim of this study was to examine plasma and IgG-specific N-glycosylation in AIH and compare it with healthy controls and other liver diseases. METHODS In this cross-sectional cohort study, total plasma N-glycosylation and IgG Fc glycosylation analysis was performed by mass spectrometry for 66 AIH patients, 60 age- and sex-matched healthy controls, 31 primary biliary cholangitis patients, 10 primary sclerosing cholangitis patients, 30 non-alcoholic fatty liver disease patients and 74 patients with viral or alcoholic hepatitis. A total of 121 glycans were quantified per individual. Associations between glycosylation traits and AIH were investigated as compared to healthy controls and other liver diseases. RESULTS Glycan traits bisection (OR: 3.78 [1.88-9.35], p-value: 5.88 × 10- 3), tetraantennary sialylation per galactose (A4GS) (OR: 2.88 [1.75-5.16], p-value: 1.63 × 10- 3), IgG1 galactosylation (OR: 0.35 [0.2-0.58], p-value: 3.47 × 10- 5) and hybrid type glycans (OR: 2.73 [1.67-4.89], p-value: 2.31 × 10- 3) were found as discriminators between AIH and healthy controls. High A4GS differentiated AIH from other liver diseases, while bisection associated with cirrhosis severity. CONCLUSIONS Compared to other liver diseases, AIH shows distinctively high A4GS levels in plasma, with potential implications on glycoprotein function and clearance. Plasma-derived glycosylation has potential to be used as a diagnostic marker for AIH in the future. This may alleviate the need for a liver biopsy at diagnosis. Glycosidic changes should be investigated further in longitudinal studies and may be used for diagnostic and monitoring purposes in the future.
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Affiliation(s)
- Tamas Pongracz
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333 ZA, The Netherlands
| | - Maaike Biewenga
- Department of Gastroenterology and Hepatology, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333 ZA, The Netherlands
| | - Anna Eva Charlotte Stoelinga
- Department of Gastroenterology and Hepatology, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333 ZA, The Netherlands
| | - Marco René Bladergroen
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333 ZA, The Netherlands
| | - Simone Nicolardi
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333 ZA, The Netherlands
| | - Leendert Adrianus Trouw
- Department Immunology, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333 ZA, The Netherlands
| | - Manfred Wuhrer
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333 ZA, The Netherlands
| | - Noortje de Haan
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333 ZA, The Netherlands.
| | - Bart van Hoek
- Department of Gastroenterology and Hepatology, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333 ZA, The Netherlands
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Burel JG, Wang W, Wuhrer M, Dedicoat M, Fletcher TE, Cunningham AF, O'Shea MK. IgG glycosylation associates with risk of progression from latent to active tuberculosis. J Infect 2024; 88:106115. [PMID: 38309308 DOI: 10.1016/j.jinf.2024.01.014] [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: 10/13/2023] [Revised: 01/23/2024] [Accepted: 01/28/2024] [Indexed: 02/05/2024]
Abstract
OBJECTIVES Glycosylation motifs shape antibody structure, stability and antigen affinity and play an important role in antibody localization and function. Serum IgG glycosylation profiles are significantly altered in infectious diseases, including tuberculosis (TB), but have not been studied in the context of progression from latent to active TB. METHODS We performed a longitudinal study of paired bulk IgG glycosylation and transcriptomic profiling in blood from individuals with active TB (ATB) or latent TB infection (LTBI) before and after treatment. RESULTS We identified that a combination of two IgG1 glycosylation traits were sufficient to distinguish ATB from LTBI with high specificity and sensitivity, prior to, and after treatment. Importantly, these two features positively correlated with previously defined cellular and RNA signatures of ATB risk in LTBI, namely monocyte to lymphocyte ratio and the expression of interferon (IFN)-associated gene signature of progression (IFN-risk signature) in blood prior to treatment. Additional glycosylation features at higher prevalence in LTBI individuals with high expression of the IFN-risk signature prior to treatment included fucosylation on IgG1, IgG2 and IgG3. CONCLUSIONS Together, our results demonstrate that bulk IgG glycosylation features could be useful in stratifying the risk of LTBI reactivation and progression to ATB.
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Affiliation(s)
- Julie G Burel
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, USA
| | - Wenjun Wang
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, the Netherlands
| | - Manfred Wuhrer
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, the Netherlands
| | - Martin Dedicoat
- Department of Infection, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Thomas E Fletcher
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK; Academic Department of Military Medicine, Royal Centre for Defence Medicine, Birmingham, UK
| | - Adam F Cunningham
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK
| | - Matthew K O'Shea
- Department of Infection, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK; Academic Department of Military Medicine, Royal Centre for Defence Medicine, Birmingham, UK; Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, UK.
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4
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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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Liu C, Zhou YP, Lian TY, Li RN, Ma JS, Yang YJ, Zhang SJ, Li XM, Qiu LH, Qiu BC, Ren LY, Wang J, Han ZY, Li JH, Wang L, Xu XQ, Sun K, Chen LF, Cheng CY, Zhang ZJ, Jing ZC. Clonal Hematopoiesis of Indeterminate Potential in Chronic Thromboembolic Pulmonary Hypertension: A Multicenter Study. Hypertension 2024; 81:372-382. [PMID: 38116660 DOI: 10.1161/hypertensionaha.123.22274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Accepted: 12/05/2023] [Indexed: 12/21/2023]
Abstract
BACKGROUND The pathogenesis of chronic thromboembolic pulmonary hypertension (CTEPH) is multifactorial and growing evidence has indicated that hematological disorders are involved. Clonal hematopoiesis of indeterminate potential (CHIP) has recently been associated with an increased risk of both hematological malignancies and cardiovascular diseases. However, the prevalence and clinical relevance of CHIP in patients with CTEPH remains unclear. METHODS Using stepwise calling on next-generation sequencing data from 499 patients with CTEPH referred to 3 centers between October 2006 and December 2021, CHIP mutations were identified. We associated CHIP with all-cause mortality in patients with CTEPH. To provide insights into potential mechanisms, the associations between CHIP and inflammatory markers were also determined. RESULTS In total, 47 (9.4%) patients with CTEPH carried at least 1 CHIP mutation at a variant allele frequency of ≥2%. The most common mutations were in DNMT3A, TET2, RUNX1, and ASXL1. During follow-up (mean, 55 months), deaths occurred in 22 (46.8%) and 104 (23.0%) patients in the CHIP and non-CHIP groups, respectively (P<0.001, log-rank test). The association of CHIP with mortality remained robust in the fully adjusted model (hazard ratio, 2.190 [95% CI, 1.257-3.816]; P=0.006). Moreover, patients with CHIP mutations showed higher circulating interleukin-1β and interleukin-6 and lower interleukin-4 and IgG galactosylation levels. CONCLUSIONS This is the first study to show that CHIP mutations occurred in 9.4% of patients with CTEPH are associated with a severe inflammatory state and confer a poorer prognosis in long-term follow-up.
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Affiliation(s)
- Chao Liu
- Department of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital (C.L., Y.-P.Z., X.-M.L., L.-H.Q., B.-C.Q., L.-Y.R., X.-Q.X., L.-F.C.), Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yu-Ping Zhou
- Department of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital (C.L., Y.-P.Z., X.-M.L., L.-H.Q., B.-C.Q., L.-Y.R., X.-Q.X., L.-F.C.), Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Tian-Yu Lian
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China (T.-Y.L., S.-J.Z., C.-Y.C., Z.-C.J)
| | - Ruo-Nan Li
- School of Pharmacy, Henan University, Zhengzhou, China (R.-N.L., J.-S.M.)
| | - Jing-Si Ma
- School of Pharmacy, Henan University, Zhengzhou, China (R.-N.L., J.-S.M.)
| | - Yin-Jian Yang
- State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital (Y.-J.Y., K.S., Z.-J.Z.), Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Si-Jin Zhang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China (T.-Y.L., S.-J.Z., C.-Y.C., Z.-C.J)
| | - Xian-Mei Li
- Department of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital (C.L., Y.-P.Z., X.-M.L., L.-H.Q., B.-C.Q., L.-Y.R., X.-Q.X., L.-F.C.), Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lu-Hong Qiu
- Department of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital (C.L., Y.-P.Z., X.-M.L., L.-H.Q., B.-C.Q., L.-Y.R., X.-Q.X., L.-F.C.), Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bao-Chen Qiu
- Department of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital (C.L., Y.-P.Z., X.-M.L., L.-H.Q., B.-C.Q., L.-Y.R., X.-Q.X., L.-F.C.), Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Li-Yan Ren
- Department of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital (C.L., Y.-P.Z., X.-M.L., L.-H.Q., B.-C.Q., L.-Y.R., X.-Q.X., L.-F.C.), Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jia Wang
- Department of Medical Laboratory, Weifang Medical University, China (J.W.)
| | - Zhi-Yan Han
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital (Z.-Y.H., J.-H.L.), Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jing-Hui Li
- State Key Laboratory of Cardiovascular Disease, FuWai Hospital (Z.-Y.H., J.-H.L.), Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lan Wang
- Department of Cardio-Pulmonary Circulation, Shanghai Pulmonary Hospital, Tongji University, China (L.W.)
| | - Xi-Qi Xu
- Department of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital (C.L., Y.-P.Z., X.-M.L., L.-H.Q., B.-C.Q., L.-Y.R., X.-Q.X., L.-F.C.), Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Kai Sun
- State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital (Y.-J.Y., K.S., Z.-J.Z.), Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lian-Feng Chen
- Department of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital (C.L., Y.-P.Z., X.-M.L., L.-H.Q., B.-C.Q., L.-Y.R., X.-Q.X., L.-F.C.), Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Chun-Yan Cheng
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China (T.-Y.L., S.-J.Z., C.-Y.C., Z.-C.J)
| | - Ze-Jian Zhang
- State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital (Y.-J.Y., K.S., Z.-J.Z.), Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhi-Cheng Jing
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China (T.-Y.L., S.-J.Z., C.-Y.C., Z.-C.J)
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Melo-Braga MN, Carvalho MB, Ferreira MCE, Lavinder J, Abbasi A, Palmisano G, Thaysen-Andersen M, Sajadi MM, Ippolito GC, Felicori LF. Unveiling the multifaceted landscape of N-glycosylation in antibody variable domains: Insights and implications. Int J Biol Macromol 2024; 257:128362. [PMID: 38029898 PMCID: PMC11003471 DOI: 10.1016/j.ijbiomac.2023.128362] [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: 09/08/2023] [Revised: 11/02/2023] [Accepted: 11/21/2023] [Indexed: 12/01/2023]
Abstract
N-glycosylation at the antibody variable domain has emerged as an important modification influencing antibody function. Despite its significance, information regarding its role and regulation remains limited. To address this gap, we comprehensively explored antibody structures housing N-glycosylation within the Protein Data Bank, yielding fresh insights into this intricate landscape. Our findings revealed that among 208 structures, N-glycosylation was more prevalent in human and mouse antibodies containing IGHV1-8 and IGHV2-2 germline genes, respectively. Moreover, our research highlights the potential for somatic hypermutation to introduce N-glycosylation sites by substituting polar residues (Ser or Thr) in germline variable genes with asparagine. Notably, our study underscores the prevalence of N-glycosylation in antiviral antibodies, especially anti-HIV. Besides antigen-antibody interaction, our findings suggest that N-glycosylation may impact antibody specificity, affinity, and avidity by influencing Fab dimer formation and complementary-determining region orientation. We also identified different glycan structures in HIV and SARS-CoV-2 antibody proteomic datasets, highlighting disparities from the N-glycan structures between PDB antibodies and biological repertoires further highlighting the complexity of N-glycosylation patterns. Our findings significantly enrich our understanding of the N-glycosylation's multifaceted characteristics within the antibody variable domain. Additionally, they underscore the pressing imperative for a more comprehensive characterization of its impact on antibody function.
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Affiliation(s)
- Marcella Nunes Melo-Braga
- Departamento de Bioquímica e Imunologia, Instituto de Ciências Biológicas da Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
| | - Milene Barbosa Carvalho
- Departamento de Ciência da Computação da Universidade Federal de São João Del Rei, São João Del Rei, MG, Brazil
| | - Manuela Cristina Emiliano Ferreira
- Departamento de Bioquímica e Imunologia, Instituto de Ciências Biológicas da Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | - Jason Lavinder
- Department of Molecular Biosciences, University of Texas, Austin, TX, USA
| | - Abdolrahim Abbasi
- Division of Clinical Care and Research, Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Giuseppe Palmisano
- Department of Parasitology, Institute of Biomedical Sciences, University of Sao Paulo, Sao Paulo, Brazil; School of Natural Sciences, Macquarie University, Sydney, Australia
| | - Morten Thaysen-Andersen
- School of Natural Sciences, Macquarie University, Sydney, Australia; Institute for Glyco-core Research (iGCORE), Nagoya University, Nagoya, Japan
| | - Mohammad M Sajadi
- Division of Clinical Care and Research, Institute of Human Virology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Gregory C Ippolito
- Department of Molecular Biosciences, University of Texas, Austin, TX, USA
| | - Liza F Felicori
- Departamento de Bioquímica e Imunologia, Instituto de Ciências Biológicas da Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
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Demicheva E, Dordiuk V, Polanco Espino F, Ushenin K, Aboushanab S, Shevyrin V, Buhler A, Mukhlynina E, Solovyova O, Danilova I, Kovaleva E. Advances in Mass Spectrometry-Based Blood Metabolomics Profiling for Non-Cancer Diseases: A Comprehensive Review. Metabolites 2024; 14:54. [PMID: 38248857 PMCID: PMC10820779 DOI: 10.3390/metabo14010054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 01/05/2024] [Accepted: 01/12/2024] [Indexed: 01/23/2024] Open
Abstract
Blood metabolomics profiling using mass spectrometry has emerged as a powerful approach for investigating non-cancer diseases and understanding their underlying metabolic alterations. Blood, as a readily accessible physiological fluid, contains a diverse repertoire of metabolites derived from various physiological systems. Mass spectrometry offers a universal and precise analytical platform for the comprehensive analysis of blood metabolites, encompassing proteins, lipids, peptides, glycans, and immunoglobulins. In this comprehensive review, we present an overview of the research landscape in mass spectrometry-based blood metabolomics profiling. While the field of metabolomics research is primarily focused on cancer, this review specifically highlights studies related to non-cancer diseases, aiming to bring attention to valuable research that often remains overshadowed. Employing natural language processing methods, we processed 507 articles to provide insights into the application of metabolomic studies for specific diseases and physiological systems. The review encompasses a wide range of non-cancer diseases, with emphasis on cardiovascular disease, reproductive disease, diabetes, inflammation, and immunodeficiency states. By analyzing blood samples, researchers gain valuable insights into the metabolic perturbations associated with these diseases, potentially leading to the identification of novel biomarkers and the development of personalized therapeutic approaches. Furthermore, we provide a comprehensive overview of various mass spectrometry approaches utilized in blood metabolomics research, including GC-MS, LC-MS, and others discussing their advantages and limitations. To enhance the scope, we propose including recent review articles supporting the applicability of GC×GC-MS for metabolomics-based studies. This addition will contribute to a more exhaustive understanding of the available analytical techniques. The Integration of mass spectrometry-based blood profiling into clinical practice holds promise for improving disease diagnosis, treatment monitoring, and patient outcomes. By unraveling the complex metabolic alterations associated with non-cancer diseases, researchers and healthcare professionals can pave the way for precision medicine and personalized therapeutic interventions. Continuous advancements in mass spectrometry technology and data analysis methods will further enhance the potential of blood metabolomics profiling in non-cancer diseases, facilitating its translation from the laboratory to routine clinical application.
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Affiliation(s)
- Ekaterina Demicheva
- Institute of Natural Sciences and Mathematics, Ural Federal University, Ekaterinburg 620075, Russia; (V.D.); (F.P.E.); (K.U.); (A.B.); (E.M.); (O.S.); (I.D.)
- Institute of Immunology and Physiology of the Ural Branch of the Russian Academy of Sciences, Ekaterinburg 620049, Russia
| | - Vladislav Dordiuk
- Institute of Natural Sciences and Mathematics, Ural Federal University, Ekaterinburg 620075, Russia; (V.D.); (F.P.E.); (K.U.); (A.B.); (E.M.); (O.S.); (I.D.)
| | - Fernando Polanco Espino
- Institute of Natural Sciences and Mathematics, Ural Federal University, Ekaterinburg 620075, Russia; (V.D.); (F.P.E.); (K.U.); (A.B.); (E.M.); (O.S.); (I.D.)
| | - Konstantin Ushenin
- Institute of Natural Sciences and Mathematics, Ural Federal University, Ekaterinburg 620075, Russia; (V.D.); (F.P.E.); (K.U.); (A.B.); (E.M.); (O.S.); (I.D.)
- Autonomous Non-Profit Organization Artificial Intelligence Research Institute (AIRI), Moscow 105064, Russia
| | - Saied Aboushanab
- Institute of Chemical Engineering, Ural Federal University, Ekaterinburg 620002, Russia; (S.A.); (V.S.); (E.K.)
| | - Vadim Shevyrin
- Institute of Chemical Engineering, Ural Federal University, Ekaterinburg 620002, Russia; (S.A.); (V.S.); (E.K.)
| | - Aleksey Buhler
- Institute of Natural Sciences and Mathematics, Ural Federal University, Ekaterinburg 620075, Russia; (V.D.); (F.P.E.); (K.U.); (A.B.); (E.M.); (O.S.); (I.D.)
| | - Elena Mukhlynina
- Institute of Natural Sciences and Mathematics, Ural Federal University, Ekaterinburg 620075, Russia; (V.D.); (F.P.E.); (K.U.); (A.B.); (E.M.); (O.S.); (I.D.)
- Institute of Immunology and Physiology of the Ural Branch of the Russian Academy of Sciences, Ekaterinburg 620049, Russia
| | - Olga Solovyova
- Institute of Natural Sciences and Mathematics, Ural Federal University, Ekaterinburg 620075, Russia; (V.D.); (F.P.E.); (K.U.); (A.B.); (E.M.); (O.S.); (I.D.)
- Institute of Immunology and Physiology of the Ural Branch of the Russian Academy of Sciences, Ekaterinburg 620049, Russia
| | - Irina Danilova
- Institute of Natural Sciences and Mathematics, Ural Federal University, Ekaterinburg 620075, Russia; (V.D.); (F.P.E.); (K.U.); (A.B.); (E.M.); (O.S.); (I.D.)
- Institute of Immunology and Physiology of the Ural Branch of the Russian Academy of Sciences, Ekaterinburg 620049, Russia
| | - Elena Kovaleva
- Institute of Chemical Engineering, Ural Federal University, Ekaterinburg 620002, Russia; (S.A.); (V.S.); (E.K.)
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8
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Kanto N, Ohkawa Y, Kitano M, Maeda K, Shiida M, Ono T, Ota F, Kizuka Y, Kunimasa K, Nishino K, Mukai M, Seike M, Azuma A, Harada Y, Fukuda T, Gu J, Taniguchi N. A highly specific antibody against the core fucose of the N-glycan in IgG identifies the pulmonary diseases and its regulation by CCL2. J Biol Chem 2023; 299:105365. [PMID: 37865317 PMCID: PMC10663832 DOI: 10.1016/j.jbc.2023.105365] [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: 07/29/2023] [Revised: 10/01/2023] [Accepted: 10/09/2023] [Indexed: 10/23/2023] Open
Abstract
Glycan structure is often modulated in disease or predisease states, suggesting that such changes might serve as biomarkers. Here, we generated a monoclonal antibody (mAb) against the core fucose of the N-glycan in human IgG. Notably, this mAb can be used in Western blotting and ELISA. ELISA using this mAb revealed a low level of the core fucose of the N-glycan in IgG, suggesting that the level of acore fucosylated (noncore fucosylated) IgG was increased in the sera of the patients with lung cancer, chronic obstructive pulmonary disease, and interstitial pneumonia compared to healthy subjects. In a coculture analysis using human lung adenocarcinoma A549 cells and antibody-secreting B cells, the downregulation of the FUT8 (α1,6 fucosyltransferase) gene and a low level of core fucose of the N-glycan in IgG in antibody-secreting B cells were observed after coculture. A dramatic alteration in gene expression profiles for cytokines, chemokines, and their receptors were also observed after coculturing, and we found that the identified C-C motif chemokine 2 was partially involved in the downregulation of the FUT8 gene and the low level of core fucose of the N-glycan in IgG in antibody-secreting B cells. We also developed a latex turbidimetric immunoassay using this mAb. These results suggest that communication with C-C motif chemokine 2 between lung cells and antibody-secreting B cells downregulate the level of core fucose of the N-glycan in IgG, i.e., the increased level of acore fucosylated (noncore fucosylated) IgG, which would be a novel biomarker for the diagnosis of patients with pulmonary diseases.
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Affiliation(s)
- Noriko Kanto
- Depertment of Glyco-Oncology and Medical Biochemistry, Osaka International Cancer Institute, Osaka, Japan
| | - Yuki Ohkawa
- Depertment of Glyco-Oncology and Medical Biochemistry, Osaka International Cancer Institute, Osaka, Japan
| | - Masato Kitano
- Depertment of Glyco-Oncology and Medical Biochemistry, Osaka International Cancer Institute, Osaka, Japan; Department of Molecular Biochemistry and Clinical Investigation, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Kento Maeda
- Depertment of Glyco-Oncology and Medical Biochemistry, Osaka International Cancer Institute, Osaka, Japan
| | - Masafumi Shiida
- Research and Development Division, Minaris Medical Co, Ltd, Shizuoka, Japan
| | - Tatsuya Ono
- Research and Development Division, Minaris Medical Co, Ltd, Shizuoka, Japan
| | - Fumi Ota
- Disease Glycomics Team, Global Research Cluster, RIKEN, Saitama, Japan
| | - Yasuhiko Kizuka
- Institute for Glyco-core Research, Gifu University, Gifu, Japan
| | - Kei Kunimasa
- Department of Thoracic Oncology, Osaka International Cancer Institute, Osaka, Japan
| | - Kazumi Nishino
- Department of Thoracic Oncology, Osaka International Cancer Institute, Osaka, Japan
| | - Mikio Mukai
- Deparetment of Medical Check-up, Osaka International Cancer Institute, Osaka, Japan
| | - Masahiro Seike
- Department of Pulmonary Medicine and Oncology, Graduate School of Medicine, Nippon Medical School, Tokyo, Japan
| | - Arata Azuma
- Department of Pulmonary Medicine and Oncology, Graduate School of Medicine, Nippon Medical School, Tokyo, Japan
| | - Yoichiro Harada
- Depertment of Glyco-Oncology and Medical Biochemistry, Osaka International Cancer Institute, Osaka, Japan
| | - Tomohiko Fukuda
- Division of Regulatory Glycobiology, Institute of Molecular Biomembrane and Glycobiology, Tohoku Medical and Pharmaceutical University, Sendai, Miyagi, Japan
| | - Jianguo Gu
- Division of Regulatory Glycobiology, Institute of Molecular Biomembrane and Glycobiology, Tohoku Medical and Pharmaceutical University, Sendai, Miyagi, Japan
| | - Naoyuki Taniguchi
- Depertment of Glyco-Oncology and Medical Biochemistry, Osaka International Cancer Institute, Osaka, Japan.
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9
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Clerc F, Reiding KR, de Haan N, Koeleman CAM, Hipgrave Ederveen AL, Manetti N, Dotz V, Annese V, Wuhrer M. Immunoglobulin A Glycosylation Differs between Crohn's Disease and Ulcerative Colitis. J Proteome Res 2023; 22:3213-3224. [PMID: 37641533 PMCID: PMC10563165 DOI: 10.1021/acs.jproteome.3c00260] [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: 05/01/2023] [Indexed: 08/31/2023]
Abstract
Inflammatory bowel diseases (IBD), such as Crohn's disease (CD) and ulcerative colitis (UC), are chronic and relapsing inflammations of the digestive tract with increasing prevalence, yet they have unknown origins or cure. CD and UC have similar symptoms but respond differently to surgery and medication. Current diagnostic tools often involve invasive procedures, while laboratory markers for patient stratification are lacking. Large glycomic studies of immunoglobulin G and total plasma glycosylation have shown biomarker potential in IBD and could help determine disease mechanisms and therapeutic treatment choice. Hitherto, the glycosylation signatures of plasma immunoglobulin A, an important immunoglobulin secreted into the intestinal mucin, have remained undetermined in the context of IBD. Our study investigated the associations of immunoglobulin A1 and A2 glycosylation with IBD in 442 IBD cases (188 CD and 254 UC) and 120 healthy controls by reversed-phase liquid chromatography electrospray-ionization mass spectrometry of tryptic glycopeptides. Differences of IgA O- and N-glycosylation (including galactosylation, bisection, sialylation, and antennarity) between patient groups were associated with the diseases, and these findings led to the construction of a statistical model to predict the disease group of the patients without the need of invasive procedures. This study expands the current knowledge about CD and UC and could help in the development of noninvasive biomarkers and better patient care.
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Affiliation(s)
- Florent Clerc
- Center
for Proteomics and Metabolomics, Leiden
University Medical Center (LUMC), Postbus 9600, Leiden 2300 RC, The Netherlands
| | - Karli R. Reiding
- Center
for Proteomics and Metabolomics, Leiden
University Medical Center (LUMC), Postbus 9600, Leiden 2300 RC, The Netherlands
- Biomolecular
Mass Spectrometry and Proteomics, Bijvoet
Center for Biomolecular Research and Utrecht Institute for Pharmaceutical
Sciences, University of Utrecht, Padualaan 8, Utrecht 3584 CH, The Netherlands
- Netherlands
Proteomics Center, Padualaan
8, Utrecht 3584 CH, The Netherlands
| | - Noortje de Haan
- Center
for Proteomics and Metabolomics, Leiden
University Medical Center (LUMC), Postbus 9600, Leiden 2300 RC, The Netherlands
| | - Carolien A. M. Koeleman
- Center
for Proteomics and Metabolomics, Leiden
University Medical Center (LUMC), Postbus 9600, Leiden 2300 RC, The Netherlands
| | - Agnes L. Hipgrave Ederveen
- Center
for Proteomics and Metabolomics, Leiden
University Medical Center (LUMC), Postbus 9600, Leiden 2300 RC, The Netherlands
| | - Natalia Manetti
- Unit
of Gastroenterology SOD2 (Strutture Organizzative Dipartimentali), Azienda Ospedaliero Universitaria (AOU) Careggi, Florence 50134, Italy
- Gastroenterology
Unit, San Jacopo Hospital, Pistoia 51100, Italy
| | - IBD-BIOM Consortium
- Center
for Proteomics and Metabolomics, Leiden
University Medical Center (LUMC), Postbus 9600, Leiden 2300 RC, The Netherlands
- Biomolecular
Mass Spectrometry and Proteomics, Bijvoet
Center for Biomolecular Research and Utrecht Institute for Pharmaceutical
Sciences, University of Utrecht, Padualaan 8, Utrecht 3584 CH, The Netherlands
- Netherlands
Proteomics Center, Padualaan
8, Utrecht 3584 CH, The Netherlands
- Unit
of Gastroenterology SOD2 (Strutture Organizzative Dipartimentali), Azienda Ospedaliero Universitaria (AOU) Careggi, Florence 50134, Italy
- Gastroenterology
Unit, San Jacopo Hospital, Pistoia 51100, Italy
- Unit of Gastroenterology, IRCCS
(Istituto di Ricovero e Cura a Carattere Scientifico−Casa
Sollievo della Sofferenza) Hospital, San Giovanni Rotondo 71013, Italy
- Vita-Salute
San Raffaele University Faculty of Medicine and Surgery, Milano 20132, Italy
- IRCCS
Policlinico San Danato, San Donato
Milanese 20097, Italy
| | - Viktoria Dotz
- Center
for Proteomics and Metabolomics, Leiden
University Medical Center (LUMC), Postbus 9600, Leiden 2300 RC, The Netherlands
| | - Vito Annese
- Unit
of Gastroenterology SOD2 (Strutture Organizzative Dipartimentali), Azienda Ospedaliero Universitaria (AOU) Careggi, Florence 50134, Italy
- Unit of Gastroenterology, IRCCS
(Istituto di Ricovero e Cura a Carattere Scientifico−Casa
Sollievo della Sofferenza) Hospital, San Giovanni Rotondo 71013, Italy
- Vita-Salute
San Raffaele University Faculty of Medicine and Surgery, Milano 20132, Italy
- IRCCS
Policlinico San Danato, San Donato
Milanese 20097, Italy
| | - Manfred Wuhrer
- Center
for Proteomics and Metabolomics, Leiden
University Medical Center (LUMC), Postbus 9600, Leiden 2300 RC, The Netherlands
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10
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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: 15] [Impact Index Per Article: 15.0] [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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11
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Zhang ZJ, Wang HF, Lian TY, Zhou YP, Xu XQ, Guo F, Wei YP, Li JY, Sun K, Liu C, Pan LR, Ren M, Nie L, Dai HL, Jing ZC. Human Plasma IgG N-Glycome Profiles Reveal a Proinflammatory Phenotype in Chronic Thromboembolic Pulmonary Hypertension. Hypertension 2023; 80:1929-1939. [PMID: 37449418 DOI: 10.1161/hypertensionaha.123.21408] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 06/29/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND The pathological mechanism of chronic thromboembolic pulmonary hypertension (CTEPH) is not fully understood, and inflammation has been reported to be one of its etiological factors. IgG regulates systemic inflammatory homeostasis, primarily through its N-glycans. Little is known about IgG N-glycosylation in CTEPH. We aimed to map the IgG N-glycome of CTEPH to provide new insights into its pathogenesis and discover novel markers and therapies. METHODS We characterized the plasma IgG N-glycome of patients with CTEPH in a discovery cohort and validated our results in an independent validation cohort using matrix-assisted laser desorption/ionization time of flight mass spectrometry. Thereafter, we correlated IgG N-glycans with clinical parameters and circulating inflammatory cytokines in patients with CTEPH. Furthermore, we determined IgG N-glycan quantitative trait loci in CTEPH to reveal partial mechanisms underlying glycan changes. RESULTS Decreased IgG galactosylation representing a proinflammatory phenotype was found in CTEPH. The distribution of IgG galactosylation showed a strong association with NT-proBNP (N-terminal pro-B-type natriuretic peptide) in CTEPH. In line with the glycomic findings, IgG pro-/anti-inflammatory N-glycans correlated well with a series of inflammatory markers and gene loci that have been reported to be involved in the regulation of these glycans or inflammatory immune responses. CONCLUSIONS This is the first study to reveal the full signature of the IgG N-glycome of a proinflammatory phenotype and the genes involved in its regulation in CTEPH. Plasma IgG galactosylation may be useful for evaluating the inflammatory state in patients with CTEPH; however, this requires further validation. This study improves our understanding of the mechanisms underlying CTEPH inflammation from the perspective of glycomics.
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Affiliation(s)
- Ze-Jian Zhang
- Department of Cardiology (Z.-J.Z., T.-Y.L., Y.-P.Z., X.-Q.X., F.G., Y.-P.W., J.-Y.L., K.S., C.L., Z.-C.J.), 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
- Medical Research Center (Z.-J.Z., T.-Y.L., K.S.), 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
| | - Hui-Fang Wang
- Department of Biochemistry and Molecular Biology, the School of Basic Medicine Sciences, Hebei Medical University, Shijiazhuang, China (H.-F.W., L.N.)
| | - Tian-Yu Lian
- Department of Cardiology (Z.-J.Z., T.-Y.L., Y.-P.Z., X.-Q.X., F.G., Y.-P.W., J.-Y.L., K.S., C.L., Z.-C.J.), 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
- Medical Research Center (Z.-J.Z., T.-Y.L., K.S.), 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
| | - Yu-Ping Zhou
- Department of Cardiology (Z.-J.Z., T.-Y.L., Y.-P.Z., X.-Q.X., F.G., Y.-P.W., J.-Y.L., K.S., C.L., Z.-C.J.), 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
| | - Xi-Qi Xu
- Department of Cardiology (Z.-J.Z., T.-Y.L., Y.-P.Z., X.-Q.X., F.G., Y.-P.W., J.-Y.L., K.S., C.L., Z.-C.J.), 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
| | - Fan Guo
- Department of Cardiology (Z.-J.Z., T.-Y.L., Y.-P.Z., X.-Q.X., F.G., Y.-P.W., J.-Y.L., K.S., C.L., Z.-C.J.), 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
| | - Yun-Peng Wei
- Department of Cardiology (Z.-J.Z., T.-Y.L., Y.-P.Z., X.-Q.X., F.G., Y.-P.W., J.-Y.L., K.S., C.L., Z.-C.J.), 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
| | - Jing-Yi Li
- Department of Cardiology (Z.-J.Z., T.-Y.L., Y.-P.Z., X.-Q.X., F.G., Y.-P.W., J.-Y.L., K.S., C.L., Z.-C.J.), 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
| | - Kai Sun
- Department of Cardiology (Z.-J.Z., T.-Y.L., Y.-P.Z., X.-Q.X., F.G., Y.-P.W., J.-Y.L., K.S., C.L., Z.-C.J.), 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
- Medical Research Center (Z.-J.Z., T.-Y.L., K.S.), 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
| | - Chao Liu
- Department of Cardiology (Z.-J.Z., T.-Y.L., Y.-P.Z., X.-Q.X., F.G., Y.-P.W., J.-Y.L., K.S., C.L., Z.-C.J.), 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
| | - Lu-Rong Pan
- Global Health Drug Discovery Institute, Beijing, China (L.-R.P.)
| | - Ming Ren
- Department of Cardiology, Affiliated Hospital of Qinghai University, Xining, China (M.R.)
| | - Lei Nie
- Department of Biochemistry and Molecular Biology, the School of Basic Medicine Sciences, Hebei Medical University, Shijiazhuang, China (H.-F.W., L.N.)
| | - Hai-Long Dai
- Department of Cardiology, Key Laboratory of Cardiovascular Disease of Yunnan Province, Yan'an Affiliated Hospital of Kunming Medical University, China (H.-L.D.)
| | - Zhi-Cheng Jing
- Department of Cardiology (Z.-J.Z., T.-Y.L., Y.-P.Z., X.-Q.X., F.G., Y.-P.W., J.-Y.L., K.S., C.L., Z.-C.J.), 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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12
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Nimmerjahn F, Vidarsson G, Cragg MS. Effect of posttranslational modifications and subclass on IgG activity: from immunity to immunotherapy. Nat Immunol 2023; 24:1244-1255. [PMID: 37414906 DOI: 10.1038/s41590-023-01544-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 05/15/2023] [Indexed: 07/08/2023]
Abstract
Humoral immune responses are characterized by complex mixtures of polyclonal antibody species varying in their isotype, target epitope specificity and affinity. Posttranslational modifications occurring during antibody production in both the antibody variable and constant domain create further complexity and can modulate antigen specificity and antibody Fc-dependent effector functions, respectively. Finally, modifications of the antibody backbone after secretion may further impact antibody activity. An in-depth understanding of how these posttranslational modifications impact antibody function, especially in the context of individual antibody isotypes and subclasses, is only starting to emerge. Indeed, only a minute proportion of this natural variability in the humoral immune response is currently reflected in therapeutic antibody preparations. In this Review, we summarize recent insights into how IgG subclass and posttranslational modifications impact IgG activity and discuss how these insights may be used to optimize therapeutic antibody development.
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Affiliation(s)
- Falk Nimmerjahn
- Division of Genetics, Friedrich Alexander University Erlangen-Nürnberg, Erlangen, Germany.
| | - Gestur Vidarsson
- Immunoglobulin Research Laboratory, Department of Experimental Immunohematology, Sanquin Research, Amsterdam, the Netherlands
- Department of Biomolecular Mass Spectrometry and Proteomics, Utrecht Institute for Pharmaceutical Sciences and Bijvoet Center for Biomolecular Research, Utrecht University, Utrecht, the Netherlands
| | - Mark S Cragg
- Antibody and Vaccine Group, Centre for Cancer Immunology, School of Cancer Sciences, University of Southampton Faculty of Medicine, Southampton, UK
- Institute for Life Sciences, University of Southampton, Southampton, UK
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13
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Sun W, Zhang Q, Zhang X, Tran NH, Ziaur Rahman M, Chen Z, Peng C, Ma J, Li M, Xin L, Shan B. Glycopeptide database search and de novo sequencing with PEAKS GlycanFinder enable highly sensitive glycoproteomics. Nat Commun 2023; 14:4046. [PMID: 37422459 PMCID: PMC10329677 DOI: 10.1038/s41467-023-39699-5] [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: 09/26/2022] [Accepted: 06/19/2023] [Indexed: 07/10/2023] Open
Abstract
Here we present GlycanFinder, a database search and de novo sequencing tool for the analysis of intact glycopeptides from mass spectrometry data. GlycanFinder integrates peptide-based and glycan-based search strategies to address the challenge of complex fragmentation of glycopeptides. A deep learning model is designed to capture glycan tree structures and their fragment ions for de novo sequencing of glycans that do not exist in the database. We performed extensive analyses to validate the false discovery rates (FDRs) at both peptide and glycan levels and to evaluate GlycanFinder based on comprehensive benchmarks from previous community-based studies. Our results show that GlycanFinder achieved comparable performance to other leading glycoproteomics softwares in terms of both FDR control and the number of identifications. Moreover, GlycanFinder was also able to identify glycopeptides not found in existing databases. Finally, we conducted a mass spectrometry experiment for antibody N-linked glycosylation profiling that could distinguish isomeric peptides and glycans in four immunoglobulin G subclasses, which had been a challenging problem to previous studies.
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Affiliation(s)
- Weiping Sun
- Bioinformatics Solutions Inc., Waterloo, Ontario, Canada
| | - Qianqiu Zhang
- David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, Ontario, Canada
| | - Xiyue Zhang
- Bioinformatics Solutions Inc., Waterloo, Ontario, Canada
| | - Ngoc Hieu Tran
- Bioinformatics Solutions Inc., Waterloo, Ontario, Canada
- David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, Ontario, Canada
| | - M Ziaur Rahman
- Bioinformatics Solutions Inc., Waterloo, Ontario, Canada
| | - Zheng Chen
- Bioinformatics Solutions Inc., Waterloo, Ontario, Canada
| | - Chao Peng
- BaizhenBio Inc., Wuhan, China
- Wuhan BioBank, Wuhan, China
| | - Jun Ma
- Bioinformatics Solutions Inc., Waterloo, Ontario, Canada
| | - Ming Li
- David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, Ontario, Canada.
- Henan Academy of Sciences, Zhengzhou, Henan, China.
| | - Lei Xin
- Bioinformatics Solutions Inc., Waterloo, Ontario, Canada.
| | - Baozhen Shan
- Bioinformatics Solutions Inc., Waterloo, Ontario, Canada.
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14
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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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15
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Ford EE, Tieri D, Rodriguez OL, Francoeur NJ, Soto J, Kos JT, Peres A, Gibson WS, Silver CA, Deikus G, Hudson E, Woolley CR, Beckmann N, Charney A, Mitchell TC, Yaari G, Sebra RP, Watson CT, Smith ML. FLAIRR-Seq: A Method for Single-Molecule Resolution of Near Full-Length Antibody H Chain Repertoires. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2023; 210:1607-1619. [PMID: 37027017 PMCID: PMC10152037 DOI: 10.4049/jimmunol.2200825] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 03/14/2023] [Indexed: 04/08/2023]
Abstract
Current Adaptive Immune Receptor Repertoire sequencing (AIRR-seq) using short-read sequencing strategies resolve expressed Ab transcripts with limited resolution of the C region. In this article, we present the near-full-length AIRR-seq (FLAIRR-seq) method that uses targeted amplification by 5' RACE, combined with single-molecule, real-time sequencing to generate highly accurate (99.99%) human Ab H chain transcripts. FLAIRR-seq was benchmarked by comparing H chain V (IGHV), D (IGHD), and J (IGHJ) gene usage, complementarity-determining region 3 length, and somatic hypermutation to matched datasets generated with standard 5' RACE AIRR-seq using short-read sequencing and full-length isoform sequencing. Together, these data demonstrate robust FLAIRR-seq performance using RNA samples derived from PBMCs, purified B cells, and whole blood, which recapitulated results generated by commonly used methods, while additionally resolving H chain gene features not documented in IMGT at the time of submission. FLAIRR-seq data provide, for the first time, to our knowledge, simultaneous single-molecule characterization of IGHV, IGHD, IGHJ, and IGHC region genes and alleles, allele-resolved subisotype definition, and high-resolution identification of class switch recombination within a clonal lineage. In conjunction with genomic sequencing and genotyping of IGHC genes, FLAIRR-seq of the IgM and IgG repertoires from 10 individuals resulted in the identification of 32 unique IGHC alleles, 28 (87%) of which were previously uncharacterized. Together, these data demonstrate the capabilities of FLAIRR-seq to characterize IGHV, IGHD, IGHJ, and IGHC gene diversity for the most comprehensive view of bulk-expressed Ab repertoires to date.
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Affiliation(s)
- Easton E. Ford
- Department of Microbiology and Immunology, University of Louisville School of Medicine, Louisville, KY
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY
| | - David Tieri
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY
| | - Oscar L. Rodriguez
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY
| | - Nancy J. Francoeur
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY
| | - Juan Soto
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY
| | - Justin T. Kos
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY
| | - Ayelet Peres
- Faculty of Engineering, Bar Ilan University, Ramat Gan, Israel
- Bar Ilan Institute of Nanotechnology and Advanced Materials, Bar Ilan University, Ramat Gan, Israel
| | - William S. Gibson
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY
| | - Catherine A. Silver
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY
| | - Gintaras Deikus
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY
| | - Elizabeth Hudson
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY
| | - Cassandra R. Woolley
- Department of Microbiology and Immunology, University of Louisville School of Medicine, Louisville, KY
| | - Noam Beckmann
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY
| | - Alexander Charney
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY
| | - Thomas C. Mitchell
- Department of Microbiology and Immunology, University of Louisville School of Medicine, Louisville, KY
| | - Gur Yaari
- Faculty of Engineering, Bar Ilan University, Ramat Gan, Israel
- Bar Ilan Institute of Nanotechnology and Advanced Materials, Bar Ilan University, Ramat Gan, Israel
| | - Robert P. Sebra
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, NY
| | - Corey T. Watson
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY
| | - Melissa L. Smith
- Department of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY
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16
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Šimunić-Briški N, Zekić R, Dukarić V, Očić M, Frkatović-Hodžić A, Deriš H, Lauc G, Knjaz D. Physical Exercise Induces Significant Changes in Immunoglobulin G N-Glycan Composition in a Previously Inactive, Overweight Population. Biomolecules 2023; 13:biom13050762. [PMID: 37238633 DOI: 10.3390/biom13050762] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 04/21/2023] [Accepted: 04/25/2023] [Indexed: 05/28/2023] Open
Abstract
Regular exercise improves health, modulating the immune system and impacting inflammatory status. Immunoglobulin G (IgG) N-glycosylation reflects changes in inflammatory status; thus, we investigated the impact of regular exercise on overall inflammatory status by monitoring IgG N-glycosylation in a previously inactive, middle-aged, overweight and obese population (50.30 ± 9.23 years, BMI 30.57 ± 4.81). Study participants (N = 397) underwent one of three different exercise programs lasting three months with blood samples collected at baseline and at the end of intervention. After chromatographically profiling IgG N-glycans, linear mixed models with age and sex adjustment were used to investigate exercise effects on IgG glycosylation. Exercise intervention induced significant changes in IgG N-glycome composition. We observed an increase in agalactosylated, monogalctosylated, asialylated and core-fucosylated N-glycans (padj = 1.00 × 10-4, 2.41 × 10-25, 1.51 × 10-21 and 3.38 × 10-30, respectively) and a decrease in digalactosylated, mono- and di-sialylated N-glycans (padj = 4.93 × 10-12, 7.61 × 10-9 and 1.09 × 10-28, respectively). We also observed a significant increase in GP9 (glycan structure FA2[3]G1, β = 0.126, padj = 2.05 × 10-16), previously reported to have a protective cardiovascular role in women, highlighting the importance of regular exercise for cardiovascular health. Other alterations in IgG N-glycosylation reflect an increased pro-inflammatory IgG potential, expected in a previously inactive and overweight population, where metabolic remodeling is in the early stages due to exercise introduction.
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Affiliation(s)
| | - Robert Zekić
- Faculty of Kinesiology, University of Zagreb, 10000 Zagreb, Croatia
| | - Vedran Dukarić
- Faculty of Kinesiology, University of Zagreb, 10000 Zagreb, Croatia
| | - Mateja Očić
- Faculty of Kinesiology, University of Zagreb, 10000 Zagreb, Croatia
| | | | | | - Gordan Lauc
- Genos Ltd., 10000 Zagreb, Croatia
- Faculty of Pharmacy and Biochemistry, University of Zagreb, 10000 Zagreb, Croatia
| | - Damir Knjaz
- Faculty of Kinesiology, University of Zagreb, 10000 Zagreb, Croatia
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17
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Cain P, Huang L, Tang Y, Anguiano V, Feng Y. Impact of IgG subclass on monoclonal antibody developability. MAbs 2023; 15:2191302. [PMID: 36945111 PMCID: PMC10038059 DOI: 10.1080/19420862.2023.2191302] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2023] Open
Abstract
IgG-based monoclonal antibody therapeutics, which are mainly IgG1, IgG2, and IgG4 subclasses or related variants, have dominated the biotherapeutics field for decades. Multiple laboratories have reported that the IgG subclasses possess different molecular characteristics that can affect their developability. For example, IgG1, the most popular IgG subclass for therapeutics, is known to have a characteristic degradation pathway related to its hinge fragility. However, there remains a paucity of studies that systematically evaluate the IgG subclasses on manufacturability and long-term stability. We thus conducted a systematic study of 12 mAbs derived from three sets of unrelated variable regions, each cloned into IgG1, an IgG1 variant with diminished effector functions, IgG2, and a stabilized IgG4 variant with further reduced FcγR interaction, to evaluate the impact of IgG subclass on manufacturability and high concentration stability in a common formulation buffer matrix. Our evaluation included Chinese hamster ovary cell productivity, host cell protein removal efficiency, N-linked glycan structure at the conserved N297 Fc position, solution appearance at high concentration, and aggregate growth, fragmentation, charge variant profile change, and post-translational modification upon thermal stress conditions or long-term storage at refrigerated temperature. Our results elucidated molecular attributes that are common to all IgG subclasses, as well as those that are unique to certain Fc domains, providing new insight into the effects of IgG subclass on antibody manufacturability and stability. These learnings can be used to enable a balanced decision on IgG subclass selection for therapeutic antibodies and aid in acceleration of their product development process.
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Affiliation(s)
- Paul Cain
- Biotechnology Discovery Research, Lilly Research Laboratories, Lilly Technology Center North, Indianapolis, IN, USA
| | - Lihua Huang
- Bioproduct Research & Development, Lilly Research Laboratories, Lilly Technology Center North, Indianapolis, IN, USA
| | - Yu Tang
- Pharmaceutical Development and Manufacturing, Syndax Pharmaceuticals, Waltham, MA, USA
| | - Victor Anguiano
- Bioproduct Research & Development, Lilly Research Laboratories, Lilly Technology Center North, Indianapolis, IN, USA
| | - Yiqing Feng
- Biotechnology Discovery Research, Lilly Research Laboratories, Lilly Technology Center North, Indianapolis, IN, USA
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18
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Wang B, Liu D, Song M, Wang W, Guo B, Wang Y. Immunoglobulin G N-glycan, inflammation and type 2 diabetes in East Asian and European populations: a Mendelian randomization study. Mol Med 2022; 28:114. [PMID: 36104772 PMCID: PMC9476573 DOI: 10.1186/s10020-022-00543-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 09/07/2022] [Indexed: 12/08/2022] Open
Abstract
Background Immunoglobulin G (IgG) N-glycans have been shown to be associated with the risk of type 2 diabetes (T2D) and its risk factors. However, whether these associations reflect causal effects remain unclear. Furthermore, the associations of IgG N-glycans and inflammation are not fully understood. Methods We examined the causal associations of IgG N-glycans with inflammation (C-reactive protein (CRP) and fibrinogen) and T2D using two-sample Mendelian randomization (MR) analysis in East Asian and European populations. Genetic variants from IgG N-glycan quantitative trait loci (QTL) data were used as instrumental variables. Two-sample MR was conducted for IgG N-glycans with inflammation (75,391 and 18,348 participants of CRP and fibrinogen in the East Asian population, 204,402 participants of CRP in the European population) and T2D risk (77,418 cases and 356,122 controls of East Asian ancestry, 81,412 cases and 370,832 controls of European ancestry). Results After correcting for multiple testing, in the East Asian population, genetically determined IgG N-glycans were associated with a higher risk of T2D, the odds ratios (ORs) were 1.009 for T2D per 1- standard deviation (SD) higher GP5, 95% CI = 1.003–1.015; P = 0.0019; and 1.013 for T2D per 1-SD higher GP13, 95% CI = 1.006–1.021; P = 0.0005. In the European population, genetically determined decreased GP9 was associated with T2D (OR = 0.899 per 1-SD lower GP9, 95% CI: 0.845–0.957). In addition, there was suggestive evidence that genetically determined IgG N-glycans were associated with CRP in both East Asian and European populations after correcting for multiple testing, but no associations were found between IgG N-glycans and fibrinogen. There was limited evidence of heterogeneity and pleiotropy bias. Conclusions Our results provided novel genetic evidence that IgG N-glycans are causally associated with T2D. Supplementary Information The online version contains supplementary material available at 10.1186/s10020-022-00543-z.
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19
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Aloor A, Aradhya R, Venugopal P, Gopalakrishnan Nair B, Suravajhala R. Glycosylation in SARS-CoV-2 variants: A path to infection and recovery. Biochem Pharmacol 2022; 206:115335. [PMID: 36328134 PMCID: PMC9621623 DOI: 10.1016/j.bcp.2022.115335] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 10/25/2022] [Accepted: 10/25/2022] [Indexed: 11/05/2022]
Abstract
Glycan is an essential molecule that controls and drives life in a precise direction. The paucity of research in glycobiology may impede the significance of its role in the pandemic guidelines. The SARS-CoV-2 spike protein is heavily glycosylated, with 22 putative N-glycosylation sites and 17 potential O-glycosylation sites discovered thus far. It is the anchor point to the host cell ACE2 receptor, TMPRSS2, and many other host proteins that can be recognized by their immune system; hence, glycosylation is considered the primary target of vaccine development. Therefore, it is essential to know how this surface glycan plays a role in viral entry, infection, transmission, antigen, antibody responses, and disease progression. Although the vaccines are developed and applied against COVID-19, the proficiency of the immunizations is not accomplished with the current mutant variations. The role of glycosylation in SARS-CoV-2 and its receptor ACE2 with respect to other putative cell glycan receptors and the significance of glycan in host cell immunity in COVID-19 are discussed in this paper. Hence, the molecular signature of the glycan in the coronavirus infection can be incorporated into the mainstream therapeutic process.
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Affiliation(s)
- Arya Aloor
- School of Biotechnology, Amrita Vishwa Vidyapeetham, Amritapuri, Clappana 690525, Kerala, India.
| | - Rajaguru Aradhya
- School of Biotechnology, Amrita Vishwa Vidyapeetham, Amritapuri, Clappana 690525, Kerala, India.
| | - Parvathy Venugopal
- School of Biotechnology, Amrita Vishwa Vidyapeetham, Amritapuri, Clappana 690525, Kerala, India.
| | | | - Renuka Suravajhala
- School of Biotechnology, Amrita Vishwa Vidyapeetham, Amritapuri, Clappana 690525, Kerala, India.
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20
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Bharadwaj P, Shrestha S, Pongracz T, Concetta C, Sharma S, Le Moine A, de Haan N, Murakami N, Riella LV, Holovska V, Wuhrer M, Marchant A, Ackerman ME. Afucosylation of HLA-specific IgG1 as a potential predictor of antibody pathogenicity in kidney transplantation. Cell Rep Med 2022; 3:100818. [PMID: 36384101 PMCID: PMC9729883 DOI: 10.1016/j.xcrm.2022.100818] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 08/23/2022] [Accepted: 10/17/2022] [Indexed: 11/17/2022]
Abstract
Antibody-mediated rejection (AMR) is the leading cause of graft failure. While donor-specific antibodies (DSAs) are associated with a higher risk of AMR, not all patients with DSAs develop rejection, suggesting that the characteristics of alloantibodies determining their pathogenicity remain undefined. Using human leukocyte antigen (HLA)-A2-specific antibodies as a model, we apply systems serology tools to investigate qualitative features of immunoglobulin G (IgG) alloantibodies including Fc-glycosylation patterns and FcγR-binding properties. Levels of afucosylated anti-A2 antibodies are elevated in seropositive patients, especially those with AMR, suggesting potential cytotoxicity via FcγRIII-mediated mechanisms. Afucosylation of both glycoengineered monoclonal and naturally glycovariant polyclonal serum IgG specific to HLA-A2 drives potentiated binding to, slower dissociation from, and enhanced signaling through FcγRIII, a receptor widely expressed on innate effector cells, and greater cytotoxicity against HLA-A2+ cells mediated by natural killer (NK) cells. Collectively, these results suggest that afucosylated DSA may be a biomarker of AMR and contribute to pathogenesis.
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Affiliation(s)
- Pranay Bharadwaj
- Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Dartmouth College, Hanover, NH 03755, USA
| | - Sweta Shrestha
- Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Dartmouth College, Hanover, NH 03755, USA
| | - Tamas Pongracz
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, the Netherlands
| | - Catalano Concetta
- Institute for Medical Immunology, Université Libre de Bruxelles, Charleroi, Belgium; Department of Nephrology, Dialysis and Renal Transplantation, Hôpital Erasme, Université libre de Bruxelles, Bruxelles, Belgium
| | - Shilpee Sharma
- Institute for Medical Immunology, Université Libre de Bruxelles, Charleroi, Belgium
| | - Alain Le Moine
- Department of Nephrology, Dialysis and Renal Transplantation, Hôpital Erasme, Université libre de Bruxelles, Bruxelles, Belgium
| | - Noortje de Haan
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, the Netherlands
| | - Naoka Murakami
- Renal Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Leonardo V Riella
- Division of Nephrology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Center for Transplantation Sciences, Department of Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Vanda Holovska
- HLA Laboratory, Laboratoire Hospitalier Universitaire de Bruxelles (LHUB), Hôpital Erasme ULB, Brussels, Belgium
| | - Manfred Wuhrer
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, the Netherlands
| | - Arnaud Marchant
- Institute for Medical Immunology, Université Libre de Bruxelles, Charleroi, Belgium
| | - Margaret E Ackerman
- Department of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Dartmouth College, Hanover, NH 03755, USA; Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA.
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21
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Chang D, Zaia J. Methods to improve quantitative glycoprotein coverage from bottom-up LC-MS data. MASS SPECTROMETRY REVIEWS 2022; 41:922-937. [PMID: 33764573 DOI: 10.1002/mas.21692] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 12/24/2020] [Accepted: 03/11/2021] [Indexed: 05/18/2023]
Abstract
Advances in mass spectrometry instrumentation, methods development, and bioinformatics have greatly improved the ease and accuracy of site-specific, quantitative glycoproteomics analysis. Data-dependent acquisition is the most popular method for identification and quantification of glycopeptides; however, complete coverage of glycosylation site glycoforms remains elusive with this method. Targeted acquisition methods improve the precision and accuracy of quantification, but at the cost of throughput and discoverability. Data-independent acquisition (DIA) holds great promise for more complete and highly quantitative site-specific glycoproteomics analysis, while maintaining the ability to discover novel glycopeptides without prior knowledge. We review additional features that can be used to increase selectivity and coverage to the DIA workflow: retention time modeling, which would simplify the interpretation of complex tandem mass spectra, and ion mobility separation, which would maximize the sampling of all precursors at a giving chromatographic retention time. The instrumentation and bioinformatics to incorporate these features into glycoproteomics analysis exist. These improvements in quantitative, site-specific analysis will enable researchers to assess glycosylation similarity in related biological systems, answering new questions about the interplay between glycosylation state and biological function.
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Affiliation(s)
- Deborah Chang
- Department of Biochemistry, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Joseph Zaia
- Department of Biochemistry, Boston University School of Medicine, Boston, Massachusetts, USA
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22
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Zhang Z, Xu H, Tian Z. Exploration of quantitative site-specific serum O-glycoproteomics with isobaric labeling for the discovery of putative O-glycoprotein biomarkers. Proteomics Clin Appl 2022; 16:e2100095. [PMID: 35507764 DOI: 10.1002/prca.202100095] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Revised: 04/25/2022] [Accepted: 05/02/2022] [Indexed: 12/30/2022]
Abstract
PURPOSE Exploration study of site-specific isobaric-TMT-labeling quantitative serum O-glycoproteomics for the discovery of putative O-glycoprotein cancer biomarkers. EXPERIMENTAL DESIGN Sera of 10 breast cancer patients was used as the exploration cohort. More abundant N-glycosylation was first removed with PNGase F. After tryptic digestion of de-N-glycosylated serum proteome, the TMT-labeled O-glycopeptides mixture was prepared and analyzed with RPLC-MS/MS. Site-specific qualitative and quantitative database search of O-glycopeptides was carried out with pGlyco 3.0. The same raw datasets were also searched with intact N-glycopeptide search engine GPSeeker to exclude possible interference of N-glycosylation. The final IDs were checked manually with GlcNAc-containing glycosite-determining fragment ions for confirmation. RESULTS With the control of spectrum-level FDR ≤ 1% and manual validation, 299 O-glycopeptides corresponding to 83 O-glycosites and 66 O-glycoproteins were identified, and 13 O-glycopeptides were found differentially expressed. Most interestingly, differential O-glycosylation was observed for IgG1 and IgG3, which is an interesting putative biomarker panel. CONCLUSION AND CLINICAL RELEVANCE Isobaric-labeling site-specific quantitative O-glycoproteomics is currently a state-of-the-art instrumental platform for discovery of putative seral cancer biomarkers. Differential seral O-glycosylation was observed in the IgG1 and IgG3.
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Affiliation(s)
- Zihan Zhang
- School of Chemical Science & Engineering, Shanghai Key Laboratory of Chemical Assessment and Sustainability, Tongji University, Shanghai, China
| | - Hua Xu
- Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhixin Tian
- School of Chemical Science & Engineering, Shanghai Key Laboratory of Chemical Assessment and Sustainability, Tongji University, Shanghai, China
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23
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Birukov A, Plavša B, Eichelmann F, Kuxhaus O, Hoshi RA, Rudman N, Štambuk T, Trbojević-Akmačić I, Schiborn C, Morze J, Mihelčić M, Cindrić A, Liu Y, Demler O, Perola M, Mora S, Schulze MB, Lauc G, Wittenbecher C. Immunoglobulin G N-Glycosylation Signatures in Incident Type 2 Diabetes and Cardiovascular Disease. Diabetes Care 2022; 45:2729-2736. [PMID: 36174116 PMCID: PMC9679264 DOI: 10.2337/dc22-0833] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 08/20/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE N-glycosylation is a functional posttranslational modification of immunoglobulins (Igs). We hypothesized that specific IgG N-glycans are associated with incident type 2 diabetes and cardiovascular disease (CVD). RESEARCH DESIGN AND METHODS We performed case-cohort studies within the population-based European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam cohort (2,127 in the type 2 diabetes subcohort [741 incident cases]; 2,175 in the CVD subcohort [417 myocardial infarction and stroke cases]). Relative abundances of 24 IgG N-glycan peaks (IgG-GPs) were measured by ultraperformance liquid chromatography, and eight glycosylation traits were derived based on structural similarity. End point-associated IgG-GPs were preselected with fractional polynomials, and prospective associations were estimated in confounder-adjusted Cox models. Diabetes risk associations were validated in three independent studies. RESULTS After adjustment for confounders and multiple testing correction, IgG-GP7, IgG-GP8, IgG-GP9, IgG-GP11, and IgG-GP19 were associated with type 2 diabetes risk. A score based on these IgG-GPs was associated with a higher diabetes risk in EPIC-Potsdam and independent validation studies (843 total cases, 3,149 total non-cases, pooled estimate per SD increase 1.50 [95% CI 1.37-1.64]). Associations of IgG-GPs with CVD risk differed between men and women. In women, IgG-GP9 was inversely associated with CVD risk (hazard ratio [HR] per SD 0.80 [95% CI 0.65-0.98]). In men, a weighted score based on IgG-GP19 and IgG-GP23 was associated with higher CVD risk (HR per SD 1.47 [95% CI 1.20-1.80]). In addition, several derived traits were associated with cardiometabolic disease incidence. CONCLUSIONS Selected IgG N-glycans are associated with cardiometabolic risk beyond classic risk factors, including clinical biomarkers.
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Affiliation(s)
- Anna Birukov
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Branimir Plavša
- University of Zagreb Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
| | - Fabian Eichelmann
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Olga Kuxhaus
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Rosangela Akemi Hoshi
- Center for Lipid Metabolomics, Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Najda Rudman
- University of Zagreb Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
| | | | | | - Catarina Schiborn
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Jakub Morze
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Cardiology and Internal Medicine, University of Warmia and Mazury, Olsztyn, Poland
| | | | - Ana Cindrić
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Yanyan Liu
- Center for Lipid Metabolomics, Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Olga Demler
- Center for Lipid Metabolomics, Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Computer Science Department, ETH Zurich, Zurich, Switzerland
| | - Markus Perola
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Samia Mora
- Center for Lipid Metabolomics, Division of Preventive Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Gordan Lauc
- University of Zagreb Faculty of Pharmacy and Biochemistry, Zagreb, Croatia
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Clemens Wittenbecher
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- SciLifeLab, Division of Food Science and Nutrition, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
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24
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Trbojević-Akmačić I, Lageveen-Kammeijer GSM, Heijs B, Petrović T, Deriš H, Wuhrer M, Lauc G. High-Throughput Glycomic Methods. Chem Rev 2022; 122:15865-15913. [PMID: 35797639 PMCID: PMC9614987 DOI: 10.1021/acs.chemrev.1c01031] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Glycomics aims to identify the structure and function of the glycome, the complete set of oligosaccharides (glycans), produced in a given cell or organism, as well as to identify genes and other factors that govern glycosylation. This challenging endeavor requires highly robust, sensitive, and potentially automatable analytical technologies for the analysis of hundreds or thousands of glycomes in a timely manner (termed high-throughput glycomics). This review provides a historic overview as well as highlights recent developments and challenges of glycomic profiling by the most prominent high-throughput glycomic approaches, with N-glycosylation analysis as the focal point. It describes the current state-of-the-art regarding levels of characterization and most widely used technologies, selected applications of high-throughput glycomics in deciphering glycosylation process in healthy and disease states, as well as future perspectives.
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Affiliation(s)
| | | | - Bram Heijs
- Center
for Proteomics and Metabolomics, Leiden
University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands
| | - Tea Petrović
- Genos,
Glycoscience Research Laboratory, Borongajska cesta 83H, 10 000 Zagreb, Croatia
| | - Helena Deriš
- Genos,
Glycoscience Research Laboratory, Borongajska cesta 83H, 10 000 Zagreb, Croatia
| | - Manfred Wuhrer
- Center
for Proteomics and Metabolomics, Leiden
University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands
| | - Gordan Lauc
- Genos,
Glycoscience Research Laboratory, Borongajska cesta 83H, 10 000 Zagreb, Croatia
- Faculty
of Pharmacy and Biochemistry, University
of Zagreb, A. Kovačića 1, 10 000 Zagreb, Croatia
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25
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Krištić J, Lauc G, Pezer M. Immunoglobulin G glycans - Biomarkers and molecular effectors of aging. Clin Chim Acta 2022; 535:30-45. [PMID: 35970404 DOI: 10.1016/j.cca.2022.08.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 08/04/2022] [Accepted: 08/04/2022] [Indexed: 11/28/2022]
Abstract
Immunoglobulin G (IgG) antibodies are post-translationally modified by the addition of complex carbohydrate molecules - glycans, which have profound effects on the IgG function, most significantly as modulators of its inflammatory capacity. Therefore, it is not surprising that the changes in IgG glycosylation pattern are associated with various physiological states and diseases, including aging and age-related diseases. Importantly, within the inflammaging concept, IgG glycans are considered not only biomarkers but one of the molecular effectors of the aging process. The exact mechanism by which they exert their function, however, remains unknown. In this review, we list and comment on, to our knowledge, all studies that examined changes in IgG glycosylation during aging in humans. We focus on the information obtained from studies on general population, but we also cover the insights obtained from studies of long-lived individuals and people with age-related diseases. We summarize the current knowledge on how levels of different IgG glycans change with age (i.e., the extent and direction of the change with age) and discuss the potential mechanisms and possible functional roles of changes in IgG glycopattern that accompany aging.
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Affiliation(s)
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb, Croatia; Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Marija Pezer
- Genos Glycoscience Research Laboratory, Zagreb, Croatia.
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Deriš H, Tominac P, Vučković F, Briški N, Astrup A, Blaak EE, Lauc G, Gudelj I. Effects of low-calorie and different weight-maintenance diets on IgG glycome composition. Front Immunol 2022; 13:995186. [PMID: 36211377 PMCID: PMC9535357 DOI: 10.3389/fimmu.2022.995186] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 08/31/2022] [Indexed: 11/20/2022] Open
Abstract
Obesity-induced inflammation activates the adaptive immune system by altering immunoglobulin G (IgG) glycosylation in a way to produce more proinflammatory antibodies. The IgG glycome has already been well studied, and its alterations are correlated with a high body mass index (BMI) and central adiposity. Still, the IgG N-glycome susceptibility to different dietary regimes for weight control after the initial weight loss has not been studied. To explore changes in IgG glycosylation induced by weight loss and subsequent weight-maintenance diets, we analyzed 1,850 IgG glycomes from subjects in a dietary intervention Diogenes study. In this study, participants followed a low-calorie diet (LCD) providing 800 kcal/d for 8 weeks, followed by one of five weight-maintenance diets over a 6-month period. The most significant alteration of the IgG N-glycome was present 8 weeks after the subjects underwent an LCD, a statistically significant decrease of agalactosylated and the increase of sialylated N glycans. In the follow-up period, the increase in glycans with bisecting GlcNAc and the decrease in sialylated glycans were observed. Those changes were present regardless of the diet type, and we did not observe significant changes between different diets. However, it should be noted that in all five diet groups, there were individuals who prominently altered their IgG glycome composition in either proinflammatory or anti-inflammatory directions.
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Affiliation(s)
- Helena Deriš
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Petra Tominac
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | | | - Nina Briški
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Arne Astrup
- Centre for Healthy Weigh, The Novo Nordisk Foundation, Hellerup, Denmark
| | - Ellen E. Blaak
- Department of Human Biology, NUTRIM, School for Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, Netherlands
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
- *Correspondence: Gordan Lauc, ; Ivan Gudelj,
| | - Ivan Gudelj
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
- Department of Biotechnology, University of Rijeka, Rijeka, Croatia
- *Correspondence: Gordan Lauc, ; Ivan Gudelj,
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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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Sénard T, Flouri I, Vučković F, Papadaki G, Goutakoli P, Banos A, Pučić-Baković M, Pezer M, Bertsias G, Lauc G, Sidiropoulos P. Baseline IgG-Fc N-glycosylation profile is associated with long-term outcome in a cohort of early inflammatory arthritis patients. Arthritis Res Ther 2022; 24:206. [PMID: 36008868 PMCID: PMC9404591 DOI: 10.1186/s13075-022-02897-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 07/24/2022] [Indexed: 12/28/2022] Open
Abstract
Background Rheumatoid arthritis (RA) is a chronic autoimmune disease for which prediction of long-term prognosis from disease’s outset is not clinically feasible. The importance of immunoglobulin G (IgG) and its Fc N-glycosylation in inflammation is well-known and studies described its relevance for several autoimmune diseases, including RA. Herein we assessed the association between IgG N-glycoforms and disease prognosis at 2 years in an early inflammatory arthritis cohort. Methods Sera from 118 patients with early inflammatory arthritis naïve to treatment sampled at baseline were used to obtain IgG Fc glycopeptides, which were then analyzed in a subclass-specific manner by liquid chromatography coupled to mass spectrometry (LC-MS). Patients were prospectively followed and a favorable prognosis at 2 years was assessed by a combined index as remission or low disease activity (DAS28 < 3.2) and normal functionality (HAQ ≤ 0.25) while on treatment with conventional synthetic DMARDs and never used biologic DMARDs. Results We observed a significant association between high levels of IgG2/3 Fc galactosylation (effect 0.627 and adjusted p value 0.036 for the fully galactosylated glycoform H5N4F1; effect −0.551 and adjusted p value 0.04963 for the agalactosylated H3N4F1) and favorable outcome after 2 years of treatment. The inclusion of IgG glycoprofiling in a multivariate analysis to predict the outcome (with HAQ, DAS28, RF, and ACPA included in the model) did not improve the prognostic performance of the model. Conclusion Pending confirmation of these findings in larger cohorts, IgG glycosylation levels could be used as a prognostic marker in early arthritis, to overcome the limitations of the current prognostic tools. Supplementary Information The online version contains supplementary material available at 10.1186/s13075-022-02897-5.
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Affiliation(s)
- Thomas Sénard
- Center for Proteomics and Metabolomics, Leiden University Medical Center, 2300 RC, Leiden, The Netherlands
| | - Irini Flouri
- Rheumatology and Clinical Immunology, University Hospital of Heraklion, 71003, Heraklion, Greece
| | | | - Garyfalia Papadaki
- Laboratory of Rheumatology, Autoimmunity and Inflammation, Medical School, University of Crete, 71305, Heraklion, Greece
| | - Panagiota Goutakoli
- Laboratory of Rheumatology, Autoimmunity and Inflammation, Medical School, University of Crete, 71305, Heraklion, Greece
| | - Aggelos Banos
- Laboratory of Inflammation and Autoimmunity, Biomedical Research Foundation of the Academy of Athens, 11527, Athens, Greece
| | | | - Marija Pezer
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - George Bertsias
- Rheumatology and Clinical Immunology, University Hospital of Heraklion, 71003, Heraklion, Greece.,Laboratory of Rheumatology, Autoimmunity and Inflammation, Medical School, University of Crete, 71305, Heraklion, Greece
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb, Croatia. .,Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia.
| | - Prodromos Sidiropoulos
- Rheumatology and Clinical Immunology, University Hospital of Heraklion, 71003, Heraklion, Greece.,Laboratory of Rheumatology, Autoimmunity and Inflammation, Medical School, University of Crete, 71305, Heraklion, Greece
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Zhang X, Cong R, Geng T, Zhang J, Liu D, Tian Q, Meng X, Song M, Wu L, Zheng D, Wang W, Wang B, Wang Y. Assessment of the Causal Effects of IgG N-Glycosylation Level on Risk of Dementia: A 2-Sample Mendelian Randomization Study. J Alzheimers Dis 2022; 88:1435-1441. [DOI: 10.3233/jad-220074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Previous prospective studies highlighted aberrant immunoglobulin G (IgG) N-glycosylation as a risk factor for dementia [such as Alzheimer’s disease (AD) and vascular dementia (VaD)]. It is unclear whether this association is causal or explained by confounding or reverse causation. Objective: The aim is to examine the association of genetically predicted IgG N-glycosylation with dementia using 2-sample Mendelian randomization (MR). Methods: Independent genetic variants for IgG N-glycosylation traits were selected as instrument variables from published genome-wide association studies (GWAS) among individuals of European ancestry. We extracted their corresponding summary statistics from large-scale clinically diagnosed AD GWAS dataset and FinnGen biobank VaD GWAS dataset. The inverse variance weighted (IVW) was performed to calculate the effect estimates. Meanwhile, multiple sensitivity analyses were used to assess horizontal pleiotropy and outliers. Results: There were no associations of genetically predicted IgG N-glycosylation traits with the risk of AD and VaD using the IVW method (all p > 0.0013). These estimates of four additional sensitivity analyses methods were consistent with the IVW estimates in terms of direction and magnitude. Additionally, the MR-PRESSO global test and the intercept of MR-Egger regression indicated no evidence of horizontal pleiotropy. Meanwhile, the heterogeneity test showed no significant heterogeneity using the Cochran Q statistic. The leave-one-out sensitivity analyses also did not detect any significant change. Conclusion: Our MR study did not support evidence for the hypothesis that IgG N-glycosylation level may be causally associated with the risk of dementia.
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Affiliation(s)
- Xiaoyu Zhang
- Department of Anesthesiology, Sanbo Brain Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Ruyi Cong
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai’an, China
| | - Tao Geng
- Geriatric Department, Emergency General Hospital, Beijing, China
- Department of Medicine & Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong
| | - Jinxia Zhang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Di Liu
- Centre for Biomedical Information Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Qiuyue Tian
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Xiaoni Meng
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Manshu Song
- School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
| | - Lijuan Wu
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Deqiang Zheng
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
| | - Wei Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
- Centre for Precision Health, Edith Cowan University, Perth, Australia
| | - Baoguo Wang
- Department of Anesthesiology, Sanbo Brain Hospital, Capital Medical University, Beijing, China
| | - Youxin Wang
- Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, China
- School of Medical and Health Sciences, Edith Cowan University, Perth, Australia
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Golay J, Andrea AE, Cattaneo I. Role of Fc Core Fucosylation in the Effector Function of IgG1 Antibodies. Front Immunol 2022; 13:929895. [PMID: 35844552 PMCID: PMC9279668 DOI: 10.3389/fimmu.2022.929895] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 06/03/2022] [Indexed: 11/13/2022] Open
Abstract
The presence of fucose on IgG1 Asn-297 N-linked glycan is the modification of the human IgG1 Fc structure with the most significant impact on FcɣRIII affinity. It also significantly enhances the efficacy of antibody dependent cellular cytotoxicity (ADCC) by natural killer (NK) cells in vitro, induced by IgG1 therapeutic monoclonal antibodies (mAbs). The effect of afucosylation on ADCC or antibody dependent phagocytosis (ADCP) mediated by macrophages or polymorphonuclear neutrophils (PMN) is less clear. Evidence for enhanced efficacy of afucosylated therapeutic mAbs in vivo has also been reported. This has led to the development of several therapeutic antibodies with low Fc core fucose to treat cancer and inflammatory diseases, seven of which have already been approved for clinical use. More recently, the regulation of IgG Fc core fucosylation has been shown to take place naturally during the B-cell immune response: A decrease in α-1,6 fucose has been observed in polyclonal, antigen-specific IgG1 antibodies which are generated during alloimmunization of pregnant women by fetal erythrocyte or platelet antigens and following infection by some enveloped viruses and parasites. Low IgG1 Fc core fucose on antigen-specific polyclonal IgG1 has been linked to disease severity in several cases, such as SARS-CoV 2 and Dengue virus infection and during alloimmunization, highlighting the in vivo significance of this phenomenon. This review aims to summarize the current knowledge about human IgG1 Fc core fucosylation and its regulation and function in vivo, in the context of both therapeutic antibodies and the natural immune response. The parallels in these two areas are informative about the mechanisms and in vivo effects of Fc core fucosylation, and may allow to further exploit the desired properties of this modification in different clinical contexts.
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Affiliation(s)
- Josée Golay
- Center of Cellular Therapy "G. Lanzani", Division of Hematology, Azienda Socio Sanitaria Territoriale Papa Giovanni XXIII, Bergamo, Italy
- *Correspondence: Josée Golay,
| | - Alain E. Andrea
- Laboratoire de Biochimie et Thérapies Moléculaires, Faculté de Pharmacie, Université Saint Joseph de Beyrouth, Beirut, Lebanon
| | - Irene Cattaneo
- Center of Cellular Therapy "G. Lanzani", Division of Hematology, Azienda Socio Sanitaria Territoriale Papa Giovanni XXIII, Bergamo, Italy
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Radovani B, Gudelj I. N-Glycosylation and Inflammation; the Not-So-Sweet Relation. Front Immunol 2022; 13:893365. [PMID: 35833138 PMCID: PMC9272703 DOI: 10.3389/fimmu.2022.893365] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 05/30/2022] [Indexed: 12/28/2022] Open
Abstract
Chronic inflammation is the main feature of many long-term inflammatory diseases such as autoimmune diseases, metabolic disorders, and cancer. There is a growing number of studies in which alterations of N-glycosylation have been observed in many pathophysiological conditions, yet studies of the underlying mechanisms that precede N-glycome changes are still sparse. Proinflammatory cytokines have been shown to alter the substrate synthesis pathways as well as the expression of glycosyltransferases required for the biosynthesis of N-glycans. The resulting N-glycosylation changes can further contribute to disease pathogenesis through modulation of various aspects of immune cell processes, including those relevant to pathogen recognition and fine-tuning the inflammatory response. This review summarizes our current knowledge of inflammation-induced N-glycosylation changes, with a particular focus on specific subsets of immune cells of innate and adaptive immunity and how these changes affect their effector functions, cell interactions, and signal transduction.
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Affiliation(s)
- Barbara Radovani
- Department of Biotechnology, University of Rijeka, Rijeka, Croatia
| | - Ivan Gudelj
- Department of Biotechnology, University of Rijeka, Rijeka, Croatia
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
- *Correspondence: Ivan Gudelj,
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Xu J, Wang Y, Han Y, Liu N, Liu Z, Guo H, Zou X, Zhang J. A Preliminary Study on Change of Serum Immunoglobulin G Glycosylation in Patients With Migraine. Front Neurol 2022; 13:860555. [PMID: 35677339 PMCID: PMC9168990 DOI: 10.3389/fneur.2022.860555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Accepted: 04/20/2022] [Indexed: 11/13/2022] Open
Abstract
Background and ObjectiveMigraine is a common neurological disease, but its pathogenesis is still unclear. Previous studies suggested that migraine was related to immunoglobulin G (IgG). We intended to analyze the immune characteristics of migraine from the perspective of IgG glycosylation and provide theoretical assistance for exploring its pathogenesis.MethodsThe differences in the serum level of IgG glycosylation and glycopeptides between patients with episodic migraine and healthy controls were analyzed by applying the poly(glycerol methacrylate)@chitosan (PGMA@CS) nanomaterial in combination with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS). We constructed a binary classification model with a feedforward neural network using PyTorch 1.6.0 in Python 3.8.3 to classify the episodic migraine and healthy control groups.ResultsTwenty patients with migraine and 20 healthy controls were enrolled and the blood samples and clinical information were collected. Forty-nine IgG N-glycopeptides were detected in the serum of the subjects. The serum level of N-glycopeptide IgG1 G0-NF (p = 0.012) was increased in patients with migraine. The serum level of N-glycopeptide IgG3/4 G2FS (p = 0.041) was decreased in patients with migraine with family history of headache. It was found that the serum level of the IgG1 G1 (p = 0.004) and IgG2 G0 (p = 0.045) was increased in patients with migraine with aura, while the serum level of IgG2 G0N (p = 0.043) in patients with migraine with aura was significantly lower than that in patients with migraine without aura. In addition, a linear feedforward neural network (FFNN) was used to construct a binary classification model by detected IgG N-glycopeptides. The area under the curve (AUC) value of the binary classification model, which was constructed with 7 IgG N-glycopeptides, was 0.857, suggesting a good prediction performance. Among these IgG N-glycopeptides that were constructed the model, IgG1 G0-NF was overlapped with the differential IgG N-glycopeptide between patients with migraine and healthy controls detected with MALDI-TOF-MS.ConclusionOur results indicated that the serum level of N-glycopeptides IgG1 G0-NF might be one of the important biomarkers for the diagnosis of migraine. To the best of our knowledge, this is the first study about the changes of IgG N-glycosylation in patients with migraine by the method of MALDI-TOF-MS. The results indicated a relationship between the migraine and immune response.
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Affiliation(s)
- Jingwei Xu
- Department of Neurology, People's Hospital, Peking University, Beijing, China
- Department of Neurology, The First Medical Center of PLA General Hospital, Beijing, China
| | - Yuan Wang
- State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing, China
- Beijing Key Laboratory of Tumor Systems Biology, Medical and Healthy Analysis Center, Peking University, Beijing, China
| | - Yating Han
- Department of Neurology, People's Hospital, Peking University, Beijing, China
| | - Ningfeng Liu
- State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing, China
| | - Zhenming Liu
- State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, Beijing, China
| | - Huailian Guo
- Department of Neurology, People's Hospital, Peking University, Beijing, China
- Key Laboratory for Neuroscience, Ministry of Education, National Health and Family Planning Commission, Peking University, Beijing, China
- *Correspondence: Huailian Guo
| | - Xiajuan Zou
- Beijing Key Laboratory of Tumor Systems Biology, Medical and Healthy Analysis Center, Peking University, Beijing, China
- Xiajuan Zou
| | - Jun Zhang
- Department of Neurology, People's Hospital, Peking University, Beijing, China
- Jun Zhang
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Tena J, Tang X, Zhou Q, Harvey D, Barajas‐Mendoza M, Jin L, Maezawa I, Zivkovic AM, Lebrilla CB. Glycosylation alterations in serum of Alzheimer's disease patients show widespread changes in N-glycosylation of proteins related to immune function, inflammation, and lipoprotein metabolism. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2022; 14:e12309. [PMID: 35496372 PMCID: PMC9043904 DOI: 10.1002/dad2.12309] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 03/11/2022] [Accepted: 03/22/2022] [Indexed: 04/09/2023]
Abstract
Introduction There is an increased need for the development of novel blood-based biomarkers for early detection, prevention, or intervention in Alzheimer's disease (AD). This study sought to determine whether serum glycopeptide analysis holds potential for identifying novel diagnostics and prognostics of AD. Methods The study involved 195 participants, including 96 patients with an AD diagnosis and 99 controls with no cognitive deficit. Utilizing a validated analytical mass spectrometry method, we monitored the site-specific glycosylation of 52 serum glycoproteins. Results Partial least-squares discriminant analysis revealed that changes in overall sialylation and fucosylation of serum glycoproteins may be indicators of an AD disease state. Loss of fucosylation of immunoglobulin G1 (IgG1) and IgG2 was indicative of AD diagnosis. Individual glycopeptide analysis found separation between the AD patients and controls on complement proteins and apolipoprotein B. Discussion The results of this study suggest that serum glycoprofiling may be a promising approach for biomarker discovery.
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Affiliation(s)
- Jennyfer Tena
- Department of ChemistryUniversity of California, DavisDavisCaliforniaUSA
| | - Xinyu Tang
- Department of NutritionUniversity of California, DavisDavisCaliforniaUSA
| | - Qingwen Zhou
- Department of ChemistryUniversity of California, DavisDavisCaliforniaUSA
| | - Danielle Harvey
- Department of Pathology and Laboratory MedicineSchool of MedicineUniversity of California, DavisSacramentoCaliforniaUSA
| | | | - Lee‐Way Jin
- Department of Pathology and Laboratory MedicineSchool of MedicineUniversity of California, DavisSacramentoCaliforniaUSA
- UC Davis MIND InstituteSacramentoCaliforniaUSA
| | - Izumi Maezawa
- Department of Pathology and Laboratory MedicineSchool of MedicineUniversity of California, DavisSacramentoCaliforniaUSA
- UC Davis MIND InstituteSacramentoCaliforniaUSA
| | - Angela M. Zivkovic
- Department of NutritionUniversity of California, DavisDavisCaliforniaUSA
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Definition of IgG Subclass-Specific Glycopatterns in Idiopathic Membranous Nephropathy: Aberrant IgG Glycoforms in Blood. Int J Mol Sci 2022; 23:ijms23094664. [PMID: 35563055 PMCID: PMC9101794 DOI: 10.3390/ijms23094664] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 04/15/2022] [Accepted: 04/20/2022] [Indexed: 11/18/2022] Open
Abstract
The podocyte injury, and consequent proteinuria, that characterize the pathology of idiopathic membranous nephropathy (IMN) is mediated by an autoimmune reaction against podocyte antigens. In particular, the activation of pathways leading to abundant renal deposits of complement is likely to involve the binding of mannose-binding lectin (MBL) to aberrant glycans on immunoglobulins. To obtain a landscape of circulatory IgG Fc glycosylation characterizing this disease, we conducted a systematic N-glycan profiling study of IgG1, 2, and 4 by mass spectrometry. The cohort included 57 IMN patients, a pathological control group with nephrotic syndrome (PN) (n = 20), and 88 healthy control subjects. The effect of sex and age was assessed in all groups and controlled by rigorous matching. Several IgG Fc glycan traits were found to be associated with IMN. Interestingly, among them, only IgG4-related results were specific for IMN and not for PN. Hypo-galactosylation of IgG4, already shown for IMN, was observed to occur in the absence of core fucose, in line with a probable increase of pro-inflammatory IgG. In addition, elevated levels of fucosylated IgG4, along with low levels of hybrid-type glycans, were detected. Some of these IgG4 alterations are likely to be more pronounced in high PLA2R (phospholipase A2 receptor) patients. IgG Fc glycosylation patterns associated with IMN warrant further studies of their role in disease mechanisms and may eventually enrich the diagnostic spectrum regarding patient stratification.
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Wang T, Liu L, Voglmeir J. mAbs N-glycosylation: Implications for biotechnology and analytics. Carbohydr Res 2022; 514:108541. [DOI: 10.1016/j.carres.2022.108541] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Revised: 03/03/2022] [Accepted: 03/07/2022] [Indexed: 12/29/2022]
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Pernin V, Bec N, Beyze A, Bourgeois A, Szwarc I, Champion C, Chauvin A, Rene C, Mourad G, Merville P, Visentin J, Perrochia H, Couzi L, Larroque C, Le Quintrec M. IgG3 donor-specific antibodies with a proinflammatory glycosylation profile may be associated with the risk of antibody-mediated rejection after kidney transplantation. Am J Transplant 2022; 22:865-875. [PMID: 34863025 DOI: 10.1111/ajt.16904] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 11/21/2021] [Accepted: 11/21/2021] [Indexed: 01/25/2023]
Abstract
The pathogenicity of de novo donor-specific antibodies (dnDSA) varies according to their characteristics. While their MFI, complement-fixing ability, and IgG3 subclass are associated with ABMR occurrence and graft loss, they are not fully predictive of outcomes. We investigated the role of the Fc glycosylation of IgG3 dnDSA in ABMR occurrence using mass spectrometry after isolation by single HLA antigen beads. Between 2014 and 2018, we enrolled 54 patients who developed dnDSA (ABMR- n = 24; ABMR+ n = 30) in two French transplant centers. Fucosylation, galactosylation, GlcNAc bisection, and sialylation of IgG3 dnDSA were compared between ABMR+ and ABMR- patients. IgG3 dnDSA from ABMR+ patients exhibited significantly lower sialylation (7.5% vs. 10.5%, p < .001) and higher GlcNAc bisection (20.6% vs. 17.4%, p = .008). Fucosylation and galactosylation were similar in both groups. DSA glycosylation was not correlated with DSA MFI. In a multivariate analysis, low IgG3 sialylation, high IgG3%, time from transplantation to kidney biopsy, and tacrolimus-free regimen were independent predictive factors of ABMR. We conclude that a proinflammatory glycosylation profile of IgG3 dnDSA is associated with a risk of ABMR occurrence. Further studies are needed to confirm the clinical interest of DSA glycosylation and to clarify its role in determining the risk of ABMR and graft survival.
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Affiliation(s)
- Vincent Pernin
- Department of Nephrology, Dialysis and Transplantation, Montpellier University hospital, Montpellier, France.,IRMB, Univ Montpellier, INSERM, CHU Montpellier, Montpellier, France
| | - Nicole Bec
- IRMB, Univ Montpellier, INSERM, CHU Montpellier, Montpellier, France
| | - Anaïs Beyze
- Department of Nephrology, Dialysis and Transplantation, Montpellier University hospital, Montpellier, France.,IRMB, Univ Montpellier, INSERM, CHU Montpellier, Montpellier, France
| | - Alexis Bourgeois
- Department of Nephrology, Dialysis and Transplantation, Montpellier University hospital, Montpellier, France
| | - Ilan Szwarc
- Department of Nephrology, Dialysis and Transplantation, Montpellier University hospital, Montpellier, France
| | - Coralie Champion
- Department of Nephrology, Dialysis and Transplantation, Montpellier University hospital, Montpellier, France
| | - Anthony Chauvin
- IRMB, Univ Montpellier, INSERM, CHU Montpellier, Montpellier, France
| | - Céline Rene
- Department of immunology, CHU Montpellier, Montpellier, France
| | - Georges Mourad
- Department of Nephrology, Dialysis and Transplantation, Montpellier University hospital, Montpellier, France.,IRMB, Univ Montpellier, INSERM, CHU Montpellier, Montpellier, France
| | - Pierre Merville
- Department of Nephrology, Transplantation, Dialysis and Apheresis, Pellegrin University Hospital, Bordeaux, France.,ImmunoConcEpT, UMR CNRS 5164, Bordeaux, France.,Université de Bordeaux, Bordeaux, France
| | - Jonathan Visentin
- ImmunoConcEpT, UMR CNRS 5164, Bordeaux, France.,Université de Bordeaux, Bordeaux, France.,Department of Immunology and Immunogenetics, Pellegrin University Hospital, Bordeaux, France
| | - Helene Perrochia
- Department of Pathology, Montpellier University Hospital, Montpellier, France
| | - Lionel Couzi
- Department of Nephrology, Transplantation, Dialysis and Apheresis, Pellegrin University Hospital, Bordeaux, France.,ImmunoConcEpT, UMR CNRS 5164, Bordeaux, France.,Université de Bordeaux, Bordeaux, France
| | | | - Moglie Le Quintrec
- Department of Nephrology, Dialysis and Transplantation, Montpellier University hospital, Montpellier, France.,IRMB, Univ Montpellier, INSERM, CHU Montpellier, Montpellier, France
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37
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Fang P, Ji Y, Oellerich T, Urlaub H, Pan KT. Strategies for Proteome-Wide Quantification of Glycosylation Macro- and Micro-Heterogeneity. Int J Mol Sci 2022; 23:ijms23031609. [PMID: 35163546 PMCID: PMC8835892 DOI: 10.3390/ijms23031609] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 01/26/2022] [Accepted: 01/27/2022] [Indexed: 12/03/2022] Open
Abstract
Protein glycosylation governs key physiological and pathological processes in human cells. Aberrant glycosylation is thus closely associated with disease progression. Mass spectrometry (MS)-based glycoproteomics has emerged as an indispensable tool for investigating glycosylation changes in biological samples with high sensitivity. Following rapid improvements in methodologies for reliable intact glycopeptide identification, site-specific quantification of glycopeptide macro- and micro-heterogeneity at the proteome scale has become an urgent need for exploring glycosylation regulations. Here, we summarize recent advances in N- and O-linked glycoproteomic quantification strategies and discuss their limitations. We further describe a strategy to propagate MS data for multilayered glycopeptide quantification, enabling a more comprehensive examination of global and site-specific glycosylation changes. Altogether, we show how quantitative glycoproteomics methods explore glycosylation regulation in human diseases and promote the discovery of biomarkers and therapeutic targets.
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Affiliation(s)
- Pan Fang
- Department of Biochemistry and Molecular Biology, School of Biology & Basic Medical Sciences, Suzhou Medical College of Soochow University, Suzhou 215123, China;
| | - Yanlong Ji
- Bioanalytical Mass Spectrometry Group, Max Planck Institute for Multidisciplinary Sciences, 37077 Göttingen, Germany;
- Hematology/Oncology, Department of Medicine II, Johann Wolfgang Goethe University, 60590 Frankfurt am Main, Germany;
- Frankfurt Cancer Institute, Johann Wolfgang Goethe University, 60596 Frankfurt am Main, Germany
| | - Thomas Oellerich
- Hematology/Oncology, Department of Medicine II, Johann Wolfgang Goethe University, 60590 Frankfurt am Main, Germany;
- Frankfurt Cancer Institute, Johann Wolfgang Goethe University, 60596 Frankfurt am Main, Germany
- German Cancer Consortium (DKTK), Partner Site Frankfurt/Mainz, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Henning Urlaub
- Bioanalytical Mass Spectrometry Group, Max Planck Institute for Multidisciplinary Sciences, 37077 Göttingen, Germany;
- Institute of Clinical Chemistry, University Medical Center Göttingen, 37075 Göttingen, Germany
- Correspondence: (H.U.); (K.-T.P.)
| | - Kuan-Ting Pan
- Hematology/Oncology, Department of Medicine II, Johann Wolfgang Goethe University, 60590 Frankfurt am Main, Germany;
- Frankfurt Cancer Institute, Johann Wolfgang Goethe University, 60596 Frankfurt am Main, Germany
- Correspondence: (H.U.); (K.-T.P.)
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38
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Chen H, Maul‐Pavicic A, Holzer M, Huber M, Salzer U, Chevalier N, Voll RE, Hengel H, Kolb P. Detection and functional resolution of soluble immune complexes by an FcγR reporter cell panel. EMBO Mol Med 2022; 14:e14182. [PMID: 34842342 PMCID: PMC8749491 DOI: 10.15252/emmm.202114182] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 11/08/2021] [Accepted: 11/09/2021] [Indexed: 11/17/2022] Open
Abstract
Fc-gamma receptor (FcγR) activation by soluble IgG immune complexes (sICs) represents a major mechanism of inflammation in certain autoimmune diseases such as systemic lupus erythematosus (SLE). A robust and scalable test system allowing for the detection and quantification of sIC bioactivity is missing. We developed a comprehensive reporter cell panel detecting activation of FcγRs. The reporter cell lines were integrated into an assay that enables the quantification of sIC reactivity via ELISA or a faster detection using flow cytometry. This identified FcγRIIA(H) and FcγRIIIA as the most sIC-sensitive FcγRs in our test system. Reaching a detection limit in the very low nanomolar range, the assay proved also to be sensitive to sIC stoichiometry and size reproducing for the first time a complete Heidelberger-Kendall curve in terms of immune receptor activation. Analyzing sera from SLE patients and mouse models of lupus and arthritis proved that sIC-dependent FcγR activation has predictive capabilities regarding severity of SLE disease. The assay provides a sensitive and scalable tool to evaluate the size, amount, and bioactivity of sICs in all settings.
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Affiliation(s)
- Haizhang Chen
- Institute of VirologyUniversity Medical CenterAlbert‐Ludwigs‐University FreiburgFreiburgGermany
- Faculty of MedicineAlbert‐Ludwigs‐University FreiburgFreiburgGermany
| | - Andrea Maul‐Pavicic
- Department of Rheumatology and Clinical ImmunologyMedical Center – University of FreiburgFaculty of MedicineUniversity of FreiburgFreiburgGermany
- Center for Chronic Immunodeficiency (CCI)Medical Center‐University of FreiburgFaculty of MedicineUniversity of FreiburgFreiburgGermany
| | - Martin Holzer
- Institute for Pharmaceutical SciencesAlbert‐Ludwigs‐University FreiburgFreiburgGermany
| | - Magdalena Huber
- Institute of VirologyUniversity Medical CenterAlbert‐Ludwigs‐University FreiburgFreiburgGermany
- Faculty of MedicineAlbert‐Ludwigs‐University FreiburgFreiburgGermany
| | - Ulrich Salzer
- Department of Rheumatology and Clinical ImmunologyMedical Center – University of FreiburgFaculty of MedicineUniversity of FreiburgFreiburgGermany
| | - Nina Chevalier
- Department of Rheumatology and Clinical ImmunologyMedical Center – University of FreiburgFaculty of MedicineUniversity of FreiburgFreiburgGermany
| | - Reinhard E Voll
- Department of Rheumatology and Clinical ImmunologyMedical Center – University of FreiburgFaculty of MedicineUniversity of FreiburgFreiburgGermany
- Center for Chronic Immunodeficiency (CCI)Medical Center‐University of FreiburgFaculty of MedicineUniversity of FreiburgFreiburgGermany
| | - Hartmut Hengel
- Institute of VirologyUniversity Medical CenterAlbert‐Ludwigs‐University FreiburgFreiburgGermany
- Faculty of MedicineAlbert‐Ludwigs‐University FreiburgFreiburgGermany
| | - Philipp Kolb
- Institute of VirologyUniversity Medical CenterAlbert‐Ludwigs‐University FreiburgFreiburgGermany
- Faculty of MedicineAlbert‐Ludwigs‐University FreiburgFreiburgGermany
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39
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Treger RS, Fink SL. Beyond Titer: Expanding the Scope of Clinical Autoantibody Testing. J Appl Lab Med 2022; 7:99-113. [DOI: 10.1093/jalm/jfab123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 09/17/2021] [Indexed: 11/14/2022]
Abstract
Abstract
Background
Autoantibodies that bind self-antigens are a hallmark of autoimmune diseases, but can also be present in healthy individuals. Clinical assays that detect and titer antigen-specific autoantibodies are an important component of the diagnosis and monitoring of autoimmune diseases. Autoantibodies may contribute to disease pathogenesis via effector functions that are dictated by both the antigen-binding site and constant domain.
Content
In this review, we discuss features of antibodies, in addition to antigen-binding specificity, which determine effector function. These features include class, subclass, allotype, and glycosylation. We discuss emerging data indicating that analysis of these antibody features may be informative for diagnosis and monitoring of autoimmune diseases. We also consider methodologies to interrogate these features and consider how they could be implemented in the clinical laboratory.
Summary
Future autoantibody assays may incorporate assessment of additional antibody features that contribute to autoimmune disease pathogenesis and provide added clinical value.
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Affiliation(s)
- Rebecca S Treger
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Susan L Fink
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
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40
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OUP accepted manuscript. Glycobiology 2022; 32:380-390. [DOI: 10.1093/glycob/cwac003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 12/14/2021] [Accepted: 01/26/2022] [Indexed: 11/13/2022] Open
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41
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Sobia P, Pillay T, Liebenberg LJP, Sivro A, Mansoor LE, Osman F, Passmore JAS, Abdool Karim Q, Abdool Karim SS, Baxter C, McKinnon LR, Archary D. Higher mucosal antibody concentrations in women with genital tract inflammation. Sci Rep 2021; 11:23514. [PMID: 34873252 PMCID: PMC8648917 DOI: 10.1038/s41598-021-02954-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 11/18/2021] [Indexed: 11/08/2022] Open
Abstract
Inflammatory cytokines augment humoral responses by stimulating antibody production and inducing class-switching. In women, genital inflammation (GI) significantly modifies HIV risk. However, the impact of GI on mucosal antibodies remains undefined. We investigated the impact of GI, pre-HIV infection, on antibody isotypes and IgG subclasses in the female genital tract. Immunoglobulin (Ig) isotypes, IgG subclasses and 48 cytokines were measured prior to HIV infection in cervicovaginal lavages (CVL) from 66 HIV seroconverters (cases) and 66 matched HIV-uninfected women (controls) enrolled in the CAPRISA 004 and 008 1% tenofovir gel trials. Pre-HIV infection, cases had significantly higher genital IgM (4.13; IQR, 4.04-4.19) compared to controls (4.06; IQR, 3.90-4.20; p = 0.042). More than one-quarter of cases (27%) had GI compared to just over one-tenth (12%) in controls. Significantly higher IgG1, IgG3, IgG4 and IgM (all p < 0.05) were found in women stratified for GI compared to women without. Adjusted linear mixed models showed several pro-inflammatory, chemotactic, growth factors, and adaptive cytokines significantly correlated with higher titers of IgM, IgA and IgG subclasses (p < 0.05). The strong and significant positive correlations between mucosal antibodies and markers of GI suggest that GI may impact mucosal antibody profiles. These findings require further investigation to establish a plausible biological link between the local inflammatory milieu and its consequence on these genital antibodies.
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Affiliation(s)
- Parveen Sobia
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, 2nd Floor, Doris Duke Medical Research Institute, 719 Umbilo Road, Durban, 4041, South Africa
| | - Thevani Pillay
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, 2nd Floor, Doris Duke Medical Research Institute, 719 Umbilo Road, Durban, 4041, South Africa
| | - Lenine J P Liebenberg
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, 2nd Floor, Doris Duke Medical Research Institute, 719 Umbilo Road, Durban, 4041, South Africa
- Department of Medical Microbiology, University of Kwazulu-Natal, Durban, South Africa
| | - Aida Sivro
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, 2nd Floor, Doris Duke Medical Research Institute, 719 Umbilo Road, Durban, 4041, South Africa
- Department of Medical Microbiology, University of Kwazulu-Natal, Durban, South Africa
| | - Leila E Mansoor
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, 2nd Floor, Doris Duke Medical Research Institute, 719 Umbilo Road, Durban, 4041, South Africa
| | - Farzana Osman
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, 2nd Floor, Doris Duke Medical Research Institute, 719 Umbilo Road, Durban, 4041, South Africa
| | - Jo-Ann S Passmore
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, 2nd Floor, Doris Duke Medical Research Institute, 719 Umbilo Road, Durban, 4041, South Africa
- Institute of Infectious Diseases and Molecular Medicine (IDM), University of Cape Town, Cape Town, South Africa
| | - Quarraisha Abdool Karim
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, 2nd Floor, Doris Duke Medical Research Institute, 719 Umbilo Road, Durban, 4041, South Africa
- Department of Epidemiology, Columbia University, New York, NY, USA
| | - Salim S Abdool Karim
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, 2nd Floor, Doris Duke Medical Research Institute, 719 Umbilo Road, Durban, 4041, South Africa
- Department of Epidemiology, Columbia University, New York, NY, USA
| | - Cheryl Baxter
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, 2nd Floor, Doris Duke Medical Research Institute, 719 Umbilo Road, Durban, 4041, South Africa
| | - Lyle R McKinnon
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, 2nd Floor, Doris Duke Medical Research Institute, 719 Umbilo Road, Durban, 4041, South Africa
- Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, MB, Canada
- National HIV and Retrovirology Labs, JC Wilt Infectious Disease Research Centre, Public Health Agency of Canada, Winnipeg, MB, Canada
| | - Derseree Archary
- Centre for the AIDS Programme of Research in South Africa (CAPRISA), University of KwaZulu-Natal, 2nd Floor, Doris Duke Medical Research Institute, 719 Umbilo Road, Durban, 4041, South Africa.
- Department of Medical Microbiology, University of Kwazulu-Natal, Durban, South Africa.
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42
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Kifer D, Louca P, Cvetko A, Deriš H, Cindrić A, Grallert H, Peters A, Polašek O, Gornik O, Mangino M, Spector TD, Valdes AM, Padmanabhan S, Gieger C, Lauc G, Menni C. N-glycosylation of immunoglobulin G predicts incident hypertension. J Hypertens 2021; 39:2527-2533. [PMID: 34285147 PMCID: PMC7611954 DOI: 10.1097/hjh.0000000000002963] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES Glycosylation of immunoglobulin G (IgG) is an important regulator of the immune system and has been implicated in prevalent hypertension. The aim of this study is to investigate whether the IgG glycome begins to change prior to hypertension diagnosis by analysing the IgG glycome composition in a large population-based female cohort with two independent replication samples. METHODS We included 989 unrelated cases with incident hypertension and 1628 controls from the TwinsUK cohort (mean follow-up time of 6.3 years) with IgG measured at baseline by ultra-performance liquid chromatography and longitudinal BP measurement available. We replicated our findings in 106 individuals from the 10 001 Dalmatians and 729 from KORA S4. Cox regression mixed models were applied to identify changes in glycan traits preincident hypertension, after adjusting for age, mean arterial pressure, BMI, family relatedness and multiple testing (FDR < 0.1). Significant IgG-incident hypertension associations were replicated in the two independent cohorts by leveraging Cox regression mixed models in the 10 001 Dalmatians and logistic regression models in the KORA cohort. RESULTS We identified and replicated four glycan traits, incidence of bisecting GlcNAc, GP4, GP9 and GP21, that are predictive of incident hypertension after adjusting for confoundes and multiple testing [hazard ratio (95% CI) ranging from 0.45 (0.24-0.84) for GP21 to 2.9 (1.5-5.68) for GP4]. We then linearly combined the four replicated glycans and found that the glycan score correlated with incident hypertension, SBP and DBP. CONCLUSION Our results suggest that the IgG glycome changes prior to the development of hypertension.
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Affiliation(s)
- Domagoj Kifer
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Panayiotis Louca
- Department of Twin Research, Kings College London, London, England, United Kingdom
| | - Ana Cvetko
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Helena Deriš
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Ana Cindrić
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Harald Grallert
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Annette Peters
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München Research Center for Environmental Health, Neuherberg, Germany
- LMU Munich, IBE-Chair of Epidemiology, 85764 Neuherberg, Germany
| | - Ozren Polašek
- Department of Public Health, University of Split, School of Medicine, Split, Croatia
| | - Olga Gornik
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Massimo Mangino
- Department of Twin Research, Kings College London, London, England, United Kingdom
- NIHR Biomedical Research Centre at Guy’s and St Thomas’ Foundation Trust, London SE1 9RT, UK
| | - Tim D Spector
- Department of Twin Research, Kings College London, London, England, United Kingdom
| | - Ana M Valdes
- Department of Twin Research, Kings College London, London, England, United Kingdom
- Academic Rheumatology Clinical Sciences Building, Nottingham City Hospital, University of Nottingham, United Kingdom
| | | | - Christian Gieger
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Gordan Lauc
- Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Cristina Menni
- Department of Twin Research, Kings College London, London, England, United Kingdom
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43
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Helm J, Grünwald-Gruber C, Thader A, Urteil J, Führer J, Stenitzer D, Maresch D, Neumann L, Pabst M, Altmann F. Bisecting Lewis X in Hybrid-Type N-Glycans of Human Brain Revealed by Deep Structural Glycomics. Anal Chem 2021; 93:15175-15182. [PMID: 34723506 PMCID: PMC8600501 DOI: 10.1021/acs.analchem.1c03793] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
![]()
The importance of
protein glycosylation in the biomedical field
requires methods that not only quantitate structures by their monosaccharide
composition, but also resolve and identify the many isomers expressed
by mammalian cells. The art of unambiguous identification of isomeric
structures in complex mixtures, however, did not yet catch up with
the fast pace of advance of high-throughput glycomics. Here, we present
a strategy for deducing structures with the help of a deci-minute
accurate retention time library for porous graphitic carbon chromatography
with mass spectrometric detection. We implemented the concept for
the fundamental N-glycan type consisting of five
hexoses, four N-acetylhexosamines and one fucose
residue. Nearly all of the 40 biosynthetized isomers occupied unique
elution positions. This result demonstrates the unique isomer selectivity
of porous graphitic carbon. With the help of a rather tightly spaced
grid of isotope-labeled internal N-glycan, standard
retention times were transposed to a standard chromatogram. Application
of this approach to animal and human brain N-glycans
immediately identified the majority of structures as being of the
bisected type. Most notably, it exposed hybrid-type glycans with galactosylated
and even Lewis X containing bisected N-acetylglucosamine,
which have not yet been discovered in a natural source. Thus, the
time grid approach implemented herein facilitated discovery of the
still missing pieces of the N-glycome in our most
noble organ and suggests itself—in conjunction with collision
induced dissociation—as a starting point for the overdue development
of isomer-specific deep structural glycomics.
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Affiliation(s)
- Johannes Helm
- Department of Chemistry, University of Natural Resources and Life Sciences Vienna, Muthgasse 18, 1190 Vienna, Austria
| | - Clemens Grünwald-Gruber
- Department of Chemistry, University of Natural Resources and Life Sciences Vienna, Muthgasse 18, 1190 Vienna, Austria
| | - Andreas Thader
- Department of Chemistry, University of Natural Resources and Life Sciences Vienna, Muthgasse 18, 1190 Vienna, Austria
| | - Jonathan Urteil
- Department of Chemistry, University of Natural Resources and Life Sciences Vienna, Muthgasse 18, 1190 Vienna, Austria
| | - Johannes Führer
- Department of Chemistry, University of Natural Resources and Life Sciences Vienna, Muthgasse 18, 1190 Vienna, Austria
| | - David Stenitzer
- Department of Chemistry, University of Natural Resources and Life Sciences Vienna, Muthgasse 18, 1190 Vienna, Austria
| | - Daniel Maresch
- Department of Chemistry, University of Natural Resources and Life Sciences Vienna, Muthgasse 18, 1190 Vienna, Austria
| | - Laura Neumann
- Department of Chemistry, University of Natural Resources and Life Sciences Vienna, Muthgasse 18, 1190 Vienna, Austria
| | - Martin Pabst
- Department of Chemistry, University of Natural Resources and Life Sciences Vienna, Muthgasse 18, 1190 Vienna, Austria
| | - Friedrich Altmann
- Department of Chemistry, University of Natural Resources and Life Sciences Vienna, Muthgasse 18, 1190 Vienna, Austria
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44
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Bordt EA, Shook LL, Atyeo C, Pullen KM, De Guzman RM, Meinsohn MC, Chauvin M, Fischinger S, Yockey LJ, James K, Lima R, Yonker LM, Fasano A, Brigida S, Bebell LM, Roberts DJ, Pépin D, Huh JR, Bilbo SD, Li JZ, Kaimal A, Schust DJ, Gray KJ, Lauffenburger D, Alter G, Edlow AG. Maternal SARS-CoV-2 infection elicits sexually dimorphic placental immune responses. Sci Transl Med 2021; 13:eabi7428. [PMID: 34664987 PMCID: PMC8784281 DOI: 10.1126/scitranslmed.abi7428] [Citation(s) in RCA: 69] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
There is a persistent bias toward higher prevalence and increased severity of coronavirus disease 2019 (COVID-19) in males. Underlying mechanisms accounting for this sex difference remain incompletely understood. Interferon responses have been implicated as a modulator of COVID-19 disease in adults and play a key role in the placental antiviral response. Moreover, the interferon response has been shown to alter Fc receptor expression and therefore may affect placental antibody transfer. Here, we examined the intersection of maternal-fetal antibody transfer, viral-induced placental interferon responses, and fetal sex in pregnant women infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Placental Fc receptor abundance, interferon-stimulated gene (ISG) expression, and SARS-CoV-2 antibody transfer were interrogated in 68 human pregnancies. Sexually dimorphic expression of placental Fc receptors, ISGs and proteins, and interleukin-10 was observed after maternal SARS-CoV-2 infection, with up-regulation of these features in placental tissue of pregnant individuals with male fetuses. Reduced maternal SARS-CoV-2–specific antibody titers and impaired placental antibody transfer were also observed in pregnancies with a male fetus. These results demonstrate fetal sex-specific maternal and placental adaptive and innate immune responses to SARS-CoV-2.
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Affiliation(s)
- Evan A. Bordt
- Department of Pediatrics, Lurie Center for Autism, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA
| | - Lydia L. Shook
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
- Vincent Center for Reproductive Biology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Caroline Atyeo
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA 02139, USA
- PhD Program in Virology, Division of Medical Sciences, Harvard University, Boston, MA 02115, USA
| | - Krista M. Pullen
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | - Rose M. De Guzman
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
- Vincent Center for Reproductive Biology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Marie-Charlotte Meinsohn
- Pediatric Surgical Research Laboratories, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Maeva Chauvin
- Pediatric Surgical Research Laboratories, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | | | - Laura J. Yockey
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Kaitlyn James
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Rosiane Lima
- Mucosal Immunology and Biology Research Center, Department of Pediatrics, Massachusetts General Hospital, Boston, MA 02129, USA
| | - Lael M. Yonker
- Mucosal Immunology and Biology Research Center, Department of Pediatrics, Massachusetts General Hospital, Boston, MA 02129, USA
| | - Alessio Fasano
- Mucosal Immunology and Biology Research Center, Department of Pediatrics, Massachusetts General Hospital, Boston, MA 02129, USA
- European Biomedical Research Institute of Salerno (EBRIS), Salerno, Italy
| | - Sara Brigida
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
- Vincent Center for Reproductive Biology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Lisa M. Bebell
- Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Drucilla J. Roberts
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - David Pépin
- Pediatric Surgical Research Laboratories, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Jun R. Huh
- Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA
- Evergrande Center for Immunologic Diseases, Harvard Medical School and Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Staci D. Bilbo
- Department of Pediatrics, Lurie Center for Autism, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708, USA
| | - Jonathan Z. Li
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Anjali Kaimal
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Danny J. Schust
- Department of Obstetrics, Gynecology, and Women’s Health, University of Missouri, Columbia, MO 65201, USA
| | - Kathryn J. Gray
- Department of Obstetrics and Gynecology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Douglas Lauffenburger
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | - Galit Alter
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA 02139, USA
| | - Andrea G. Edlow
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
- Vincent Center for Reproductive Biology, Massachusetts General Hospital, Boston, MA 02114, USA
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45
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Russell A, Wang W. The Rapidly Expanding Nexus of Immunoglobulin G N-Glycomics, Suboptimal Health Status, and Precision Medicine. EXPERIENTIA. SUPPLEMENTUM 2021; 112:545-564. [PMID: 34687022 DOI: 10.1007/978-3-030-76912-3_17] [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: 03/14/2023]
Abstract
Immunoglobulin G is a prevalent glycoprotein, whose downstream immune responses are partially mediated by the N-glycans within the fragment crystallisable domain. Collectively termed the N-glycome, it is considered a complex intermediate phenotype: an amalgamation of genetic predisposition, environmental exposure, and health behaviours over the life-course. Thus, the immunoglobulin G N-glycome may provide an indication of health status on the spectrum from health to disease and infirmary. Although variability exists within and between populations, composition of the immunoglobulin G N-glycome remains stable over short periods of time. This underscores the potential of harnessing the immunoglobulin G N-glycome as an ideal tool for preclinical disease risk prediction, stratification, and prognosis through the development of precise dynamic biomarkers.
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Affiliation(s)
- Alyce Russell
- Centre for Precision Health, Edith Cowan University, Joondalup, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
| | - Wei Wang
- Centre for Precision Health, Edith Cowan University, Joondalup, Australia.
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia.
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46
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Bright F, Katzeff JS, Hodges JR, Piguet O, Kril JJ, Halliday GM, Kim WS. Glycoprotein Pathways Altered in Frontotemporal Dementia With Autoimmune Disease. Front Immunol 2021; 12:736260. [PMID: 34539672 PMCID: PMC8440893 DOI: 10.3389/fimmu.2021.736260] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 08/16/2021] [Indexed: 12/02/2022] Open
Abstract
Behavioral variant frontotemporal dementia (bvFTD) is a younger onset form of neurodegeneration initiated in the frontal and/or temporal lobes with a slow clinical onset but rapid progression. bvFTD is highly complex biologically with different pathological signatures and genetic variants that can exhibit a spectrum of overlapping clinical manifestations. Although the role of innate immunity has been extensively investigated in bvFTD, the involvement of adaptive immunity in bvFTD pathogenesis is poorly understood. We analyzed blood serum proteomics to identify proteins that are associated with autoimmune disease in bvFTD. Eleven proteins (increased: ATP5B, CALML5, COLEC11, FCGBP, PLEK, PLXND1; decreased: APOB, ATP8B1, FAM20C, LOXL3, TIMD4) were significantly altered in bvFTD with autoimmune disease compared to those without autoimmune disease. The majority of these proteins were enriched for glycoprotein-associated proteins and pathways, suggesting that the glycome is targeted in bvFTD with autoimmune disease.
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Affiliation(s)
- Fiona Bright
- School of Medical Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Jared S Katzeff
- School of Medical Sciences, The University of Sydney, Sydney, NSW, Australia.,Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - John R Hodges
- School of Medical Sciences, The University of Sydney, Sydney, NSW, Australia.,Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Olivier Piguet
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.,School of Psychology, The University of Sydney, Sydney, NSW, Australia
| | - Jillian J Kril
- School of Medical Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Glenda M Halliday
- School of Medical Sciences, The University of Sydney, Sydney, NSW, Australia.,Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Woojin Scott Kim
- School of Medical Sciences, The University of Sydney, Sydney, NSW, Australia.,Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
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47
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Glycosylation and Cardiovascular Diseases. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1325:307-319. [PMID: 34495542 DOI: 10.1007/978-3-030-70115-4_15] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Cardiovascular disease (CVD) is the leading cause of death worldwide, accounting for approximately 18 million deaths in 2017. Coronary artery disease is the predominant cause of death from CVD, followed by stroke. Owing to recent technological advancements, glycans and glycosylation patterns of proteins have been investigated in association with CVD risk factors and clinical events. These studies have found significant associations of glycans as biomarkers of systemic inflammation and major CVD risk factors and events. While more limited, studies have also shown that glycans may be useful for monitoring response to anti-inflammatory therapies and may be responsive to changes in lifestyle, particularly in patients with chronic inflammatory diseases. Glycans capture summative risk information related to inflammatory, immune, and signaling pathways and are promising biomarkers for CVD risk prediction and therapeutic monitoring.
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48
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Zhang Z, Wu J, Liu P, Kang L, Xu X. Diagnostic Potential of Plasma IgG N-glycans in Discriminating Thyroid Cancer from Benign Thyroid Nodules and Healthy Controls. Front Oncol 2021; 11:658223. [PMID: 34476207 PMCID: PMC8406750 DOI: 10.3389/fonc.2021.658223] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 07/27/2021] [Indexed: 12/16/2022] Open
Abstract
Background Novel biomarkers are urgently needed to distinguish between benign and malignant thyroid nodules and detect thyroid cancer in the early stage. The associations between serum IgG N-glycosylation and thyroid cancer risk have been revealed. We aimed to explore the potential of IgG N-glycan traits as biomarkers in the differential diagnosis of thyroid cancer. Methods Plasma IgG N-glycome analysis was applied to a discovery cohort followed by independent validation. IgG N-glycan profiles were obtained using a robust quantitative strategy based on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. IgG N-glycans were relatively quantified, and classification performance was evaluated based on directly detected and derived glycan traits. Results Four directly detected glycans were significantly changed in thyroid cancer patients compared to that in non-cancer controls. Derived glycan traits and a classification glycol-panel were generated based on the directly detected glycan traits. In the discovery cohort, derived trait BN (bisecting type neutral N-glycans) and the glyco-panel showed potential in distinguishing between thyroid cancer and non-cancer controls with AUCs of 0.920 and 0.917, respectively. The diagnostic potential was further validated. Derived trait BN and the glycol-panel displayed “accurate” performance (AUC>0.8) in discriminating thyroid cancer from benign thyroid nodules and healthy controls in the validation cohort. Meanwhile, derived trait BN and the glycol-panel also showed diagnostic potential in detecting early-stage thyroid cancer. Conclusions IgG N-glycome analysis revealed N-glycomic differences that allow classification of thyroid cancer from non-cancer controls. Our results suggested that derived trait BN and the classification glyco-panel rather than single N-glycans may serve as candidate biomarkers for further validation.
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Affiliation(s)
- Zejian Zhang
- Department of Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.,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
| | - Jianqiang Wu
- Department of Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.,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
| | - Peng Liu
- Department of Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.,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
| | - Lin Kang
- Department of Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.,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
| | - Xiequn Xu
- 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.,Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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49
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McQuiston A, Emtiazjoo A, Angel P, Machuca T, Christie J, Atkinson C. Set Up for Failure: Pre-Existing Autoantibodies in Lung Transplant. Front Immunol 2021; 12:711102. [PMID: 34456920 PMCID: PMC8385565 DOI: 10.3389/fimmu.2021.711102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 07/12/2021] [Indexed: 11/17/2022] Open
Abstract
Lung transplant patients have the lowest long-term survival rates compared to other solid organ transplants. The complications after lung transplantation such as primary graft dysfunction (PGD) and ultimately chronic lung allograft dysfunction (CLAD) are the main reasons for this limited survival. In recent years, lung-specific autoantibodies that recognize non-HLA antigens have been hypothesized to contribute to graft injury and have been correlated with PGD, CLAD, and survival. Mounting evidence suggests that autoantibodies can develop during pulmonary disease progression before lung transplant, termed pre-existing autoantibodies, and may participate in allograft injury after transplantation. In this review, we summarize what is known about pulmonary disease autoantibodies, the relationship between pre-existing autoantibodies and lung transplantation, and potential mechanisms through which pre-existing autoantibodies contribute to graft injury and rejection.
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Affiliation(s)
- Alexander McQuiston
- Department of Microbiology and Immunology, Medical University of South Carolina, Charleston, SC, United States.,Division of Pulmonary, Critical Care and Sleep Medicine, University of Florida, Gainesville, FL, United States
| | - Amir Emtiazjoo
- Division of Pulmonary, Critical Care and Sleep Medicine, University of Florida, Gainesville, FL, United States
| | - Peggi Angel
- Department of Cell and Molecular Pharmacology and Experimental Therapeutics, Medical University of South Carolina, Charleston, SC, United States
| | - Tiago Machuca
- Department of Surgery, University of Florida, Gainesville, FL, United States
| | - Jason Christie
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Carl Atkinson
- Division of Pulmonary, Critical Care and Sleep Medicine, University of Florida, Gainesville, FL, United States
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50
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Noborn F, Nikpour M, Persson A, Nilsson J, Larson G. Expanding the Chondroitin Sulfate Glycoproteome - But How Far? Front Cell Dev Biol 2021; 9:695970. [PMID: 34490248 PMCID: PMC8418075 DOI: 10.3389/fcell.2021.695970] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 07/27/2021] [Indexed: 12/15/2022] Open
Abstract
Chondroitin sulfate proteoglycans (CSPGs) are found at cell surfaces and in connective tissues, where they interact with a multitude of proteins involved in various pathophysiological processes. From a methodological perspective, the identification of CSPGs is challenging, as the identification requires the combined sequencing of specific core proteins, together with the characterization of the CS polysaccharide modification(s). According to the current notion of CSPGs, they are often considered in relation to a functional role in which a given proteoglycan regulates a specific function in cellular physiology. Recent advances in glycoproteomic methods have, however, enabled the identification of numerous novel chondroitin sulfate core proteins, and their glycosaminoglycan attachment sites, in humans and in various animal models. In addition, these methods have revealed unexpected structural complexity even in the linkage regions. These findings indicate that the number and structural complexity of CSPGs are much greater than previously perceived. In light of these findings, the prospect of finding additional CSPGs, using improved methods for structural and functional characterizations, and studying novel sample matrices in humans and in animal models is discussed. Further, as many of the novel CSPGs are found in low abundance and with not yet assigned functions, these findings may challenge the traditional notion of defining proteoglycans. Therefore, the concept of proteoglycans is considered, discussing whether "a proteoglycan" should be defined mainly on the basis of an assigned function or on the structural evidence of its existence.
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Affiliation(s)
- Fredrik Noborn
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Mahnaz Nikpour
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Andrea Persson
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Jonas Nilsson
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
- Proteomics Core Facility, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Göran Larson
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
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