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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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Butaye E, Somers N, Grossar L, Pauwels N, Lefere S, Devisscher L, Raevens S, Geerts A, Meuris L, Callewaert N, Van Vlierberghe H, Verhelst X. Systematic review: Glycomics as diagnostic markers for hepatocellular carcinoma. Aliment Pharmacol Ther 2024; 59:23-38. [PMID: 37877758 DOI: 10.1111/apt.17748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 09/19/2023] [Accepted: 09/23/2023] [Indexed: 10/26/2023]
Abstract
BACKGROUND Hepatocellular carcinoma (HCC) is the most prevalent primary liver cancer with one of the highest cancer-related mortality rates worldwide. Early diagnosis is crucial for improving the therapeutic options and reducing the disease-related mortality. AIM To investigate serum N-glycomics as diagnostic markers for HCC. METHODS We performed a comprehensive search in PubMed, EMBASE, Web of Science and Scopus through August 17, 2023. Eligible studies assessed the potential use of serum N-glycomics as diagnostic biomarkers for HCC. Study selection, data extraction and quality assessment were performed by two independent reviewers. RESULTS Of the 48 articles included, 11 evaluated the utility of N-glycomics for the diagnosis of HCC in whole serum while the remaining articles focused on specific protein glycoforms or protein levels. Of these specific proteins, haptoglobin, alpha-fetoprotein (AFP), kininogen (Kin), α-1-antitrypsin and Golgi protein 73 (GP73) were the most frequently studied. Increased levels of fucosylation and branching presented as the most prevalent post-translational modifications of glycoproteins in patients with HCC compared to controls. Notably, glycomics-based biomarkers may provide a clinical benefit for the diagnosis of early HCC, as several algorithms achieved AUCs between 0.92-0.97. However, these were based on single studies with limited sample sizes and should therefore be validated. CONCLUSIONS Alterations in serum N-glycomics, characterised by increased levels of fucosylation and branching, have potential as diagnostic biomarkers for HCC. Optimisation of study design, patient selection and analysing techniques are needed before clinical implementation will be possible.
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Affiliation(s)
- Emma Butaye
- Hepatology Research Unit, Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium
- Liver Research Center Ghent, Ghent University, Ghent University Hospital, Ghent, Belgium
| | - Nicky Somers
- Hepatology Research Unit, Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium
- Liver Research Center Ghent, Ghent University, Ghent University Hospital, Ghent, Belgium
| | - Lorenz Grossar
- Hepatology Research Unit, Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium
- Liver Research Center Ghent, Ghent University, Ghent University Hospital, Ghent, Belgium
| | - Nele Pauwels
- Knowledge Center for Health Ghent, Ghent University Hospital, Ghent University, Ghent, Belgium
| | - Sander Lefere
- Hepatology Research Unit, Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium
- Liver Research Center Ghent, Ghent University, Ghent University Hospital, Ghent, Belgium
| | - Lindsey Devisscher
- Liver Research Center Ghent, Ghent University, Ghent University Hospital, Ghent, Belgium
- Gut-Liver Immunopharmacology Unit, Department of Basic and Applied Medical Sciences, Ghent University, Ghent, Belgium
| | - Sarah Raevens
- Liver Research Center Ghent, Ghent University, Ghent University Hospital, Ghent, Belgium
- Department of Gastroenterology and Hepatology, Ghent University Hospital, Ghent, Belgium
| | - Anja Geerts
- Liver Research Center Ghent, Ghent University, Ghent University Hospital, Ghent, Belgium
- Department of Gastroenterology and Hepatology, Ghent University Hospital, Ghent, Belgium
| | - Leander Meuris
- Department of Biochemistry and Microbiology, VIB-UGent Center for Medical Biotechnology, Ghent, Belgium
- Department of Biochemistry and Microbiology, Ghent University, Ghent, Belgium
| | - Nico Callewaert
- Department of Biochemistry and Microbiology, VIB-UGent Center for Medical Biotechnology, Ghent, Belgium
- Department of Biochemistry and Microbiology, Ghent University, Ghent, Belgium
| | - Hans Van Vlierberghe
- Liver Research Center Ghent, Ghent University, Ghent University Hospital, Ghent, Belgium
- Department of Gastroenterology and Hepatology, Ghent University Hospital, Ghent, Belgium
| | - Xavier Verhelst
- Liver Research Center Ghent, Ghent University, Ghent University Hospital, Ghent, Belgium
- Department of Gastroenterology and Hepatology, Ghent University Hospital, Ghent, Belgium
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Mechref Y, Peng W, Gautam S, Ahmadi P, Lin Y, Zhu J, Zhang J, Liu S, Singal AG, Parikh ND, Lubman DM. Mass spectrometry based biomarkers for early detection of HCC using a glycoproteomic approach. Adv Cancer Res 2022; 157:23-56. [PMID: 36725111 PMCID: PMC10014290 DOI: 10.1016/bs.acr.2022.07.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Hepatocellular carcinoma (HCC) is the fourth most common cause of cancer-related mortality worldwide and 80%-90% of HCC develops in patients that have underlying cirrhosis. Better methods of surveillance are needed to increase early detection of HCC and the proportion of patients that can be offered curative therapies. Recent work in novel mass spec-based methods for glycomic and glycopeptide analysis for discovery and confirmation of markers for early detection of HCC versus cirrhosis is reviewed in this chapter. Results from recent work in these fields by several groups and the progress made in developing markers of early HCC which can outperform the current serum-based markers are described and discussed. Also, recent developments in isoform analysis of glycans and glycopeptides and in various mass spec fragmentation methods will be described and discussed.
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Affiliation(s)
- Yehia Mechref
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, United States.
| | - Wenjing Peng
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, United States
| | - Sakshi Gautam
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, United States
| | - Parisa Ahmadi
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX, United States
| | - Yu Lin
- Department of Surgery, University of Michigan Medical Center, Ann Arbor, MI, United States
| | - Jianhui Zhu
- Department of Surgery, University of Michigan Medical Center, Ann Arbor, MI, United States
| | - Jie Zhang
- Department of Surgery, University of Michigan Medical Center, Ann Arbor, MI, United States
| | - Suyu Liu
- Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Amit G Singal
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Neehar D Parikh
- Division of Gastroenterology and Hepatology, University of Michigan Medical Center, Ann Arbor, MI, United States
| | - David M Lubman
- Department of Surgery, University of Michigan Medical Center, Ann Arbor, MI, United States.
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