1
|
Joshi N, Garapati K, Ghose V, Kandasamy RK, Pandey A. Recent progress in mass spectrometry-based urinary proteomics. Clin Proteomics 2024; 21:14. [PMID: 38389064 PMCID: PMC10885485 DOI: 10.1186/s12014-024-09462-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 02/12/2024] [Indexed: 02/24/2024] Open
Abstract
Serum or plasma is frequently utilized in biomedical research; however, its application is impeded by the requirement for invasive sample collection. The non-invasive nature of urine collection makes it an attractive alternative for disease characterization and biomarker discovery. Mass spectrometry-based protein profiling of urine has led to the discovery of several disease-associated biomarkers. Proteomic analysis of urine has not only been applied to disorders of the kidney and urinary bladder but also to conditions affecting distant organs because proteins excreted in the urine originate from multiple organs. This review provides a progress update on urinary proteomics carried out over the past decade. Studies summarized in this review have expanded the catalog of proteins detected in the urine in a variety of clinical conditions. The wide range of applications of urine analysis-from characterizing diseases to discovering predictive, diagnostic and prognostic markers-continues to drive investigations of the urinary proteome.
Collapse
Affiliation(s)
- Neha Joshi
- Manipal Academy of Higher Education (MAHE), Manipal, 576104, India
- Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Kishore Garapati
- Manipal Academy of Higher Education (MAHE), Manipal, 576104, India
- Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Vivek Ghose
- Manipal Academy of Higher Education (MAHE), Manipal, 576104, India
- Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India
| | - Richard K Kandasamy
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, 55905, USA
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, 55905, USA
| | - Akhilesh Pandey
- Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India.
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, 55905, USA.
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, 55905, USA.
| |
Collapse
|
2
|
Garcia-Marques F, Fuller K, Bermudez A, Shamsher N, Zhao H, Brooks JD, Flory MR, Pitteri SJ. Identification and characterization of intact glycopeptides in human urine. Sci Rep 2024; 14:3716. [PMID: 38355753 PMCID: PMC10866872 DOI: 10.1038/s41598-024-53299-3] [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: 05/31/2023] [Accepted: 01/30/2024] [Indexed: 02/16/2024] Open
Abstract
Glycoproteins in urine have the potential to provide a rich class of informative molecules for studying human health and disease. Despite this promise, the urine glycoproteome has been largely uncharacterized. Here, we present the analysis of glycoproteins in human urine using LC-MS/MS-based intact glycopeptide analysis, providing both the identification of protein glycosites and characterization of the glycan composition at specific glycosites. Gene enrichment analysis reveals differences in biological processes, cellular components, and molecular functions in the urine glycoproteome versus the urine proteome, as well as differences based on the major glycan class observed on proteins. Meta-heterogeneity of glycosylation is examined on proteins to determine the variation in glycosylation across multiple sites of a given protein with specific examples of individual sites differing from the glycosylation trends in the overall protein. Taken together, this dataset represents a potentially valuable resource as a baseline characterization of glycoproteins in human urine for future urine glycoproteomics studies.
Collapse
Affiliation(s)
- Fernando Garcia-Marques
- Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, 3155 Porter Drive MC5483, Palo Alto, CA, 94304, USA
| | - Keely Fuller
- Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, 3155 Porter Drive MC5483, Palo Alto, CA, 94304, USA
| | - Abel Bermudez
- Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, 3155 Porter Drive MC5483, Palo Alto, CA, 94304, USA
| | - Nikhiya Shamsher
- Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, 3155 Porter Drive MC5483, Palo Alto, CA, 94304, USA
| | - Hongjuan Zhao
- Department of Urology, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - James D Brooks
- Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, 3155 Porter Drive MC5483, Palo Alto, CA, 94304, USA
- Department of Urology, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Mark R Flory
- Cancer Early Detection Advanced Research (CEDAR) Center, Knight Cancer Institute, Oregon Health & Science University, Portland, OR, 97239-3098, USA
| | - Sharon J Pitteri
- Canary Center at Stanford for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, 3155 Porter Drive MC5483, Palo Alto, CA, 94304, USA.
| |
Collapse
|
3
|
Pejchinovski I, Turkkan S, Pejchinovski M. Recent Advances of Proteomics in Management of Acute Kidney Injury. Diagnostics (Basel) 2023; 13:2648. [PMID: 37627907 PMCID: PMC10453063 DOI: 10.3390/diagnostics13162648] [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: 06/28/2023] [Revised: 07/31/2023] [Accepted: 08/03/2023] [Indexed: 08/27/2023] Open
Abstract
Acute Kidney Injury (AKI) is currently recognized as a life-threatening disease, leading to an exponential increase in morbidity and mortality worldwide. At present, AKI is characterized by a significant increase in serum creatinine (SCr) levels, typically followed by a sudden drop in glomerulus filtration rate (GFR). Changes in urine output are usually associated with the renal inability to excrete urea and other nitrogenous waste products, causing extracellular volume and electrolyte imbalances. Several molecular mechanisms were proposed to be affiliated with AKI development and progression, ultimately involving renal epithelium tubular cell-cycle arrest, inflammation, mitochondrial dysfunction, the inability to recover and regenerate proximal tubules, and impaired endothelial function. Diagnosis and prognosis using state-of-the-art clinical markers are often late and provide poor outcomes at disease onset. Inappropriate clinical assessment is a strong disease contributor, actively driving progression towards end stage renal disease (ESRD). Proteins, as the main functional and structural unit of the cell, provide the opportunity to monitor the disease on a molecular level. Changes in the proteomic profiles are pivotal for the expression of molecular pathways and disease pathogenesis. Introduction of highly-sensitive and innovative technology enabled the discovery of novel biomarkers for improved risk stratification, better and more cost-effective medical care for the ill patients and advanced personalized medicine. In line with those strategies, this review provides and discusses the latest findings of proteomic-based biomarkers and their prospective clinical application for AKI management.
Collapse
Affiliation(s)
- Ilinka Pejchinovski
- Department of Quality Assurance, Nikkiso Europe GmbH, 30885 Langenhagen, Germany; (I.P.); (S.T.)
| | - Sibel Turkkan
- Department of Quality Assurance, Nikkiso Europe GmbH, 30885 Langenhagen, Germany; (I.P.); (S.T.)
| | - Martin Pejchinovski
- Department of Analytical Instruments Group, Thermo Fisher Scientific, 82110 Germering, Germany
| |
Collapse
|
4
|
Lohia S, Latosinska A, Zoidakis J, Makridakis M, Mischak H, Glorieux G, Vlahou A, Jankowski V. Glycosylation Analysis of Urinary Peptidome Highlights IGF2 Glycopeptides in Association with CKD. Int J Mol Sci 2023; 24:ijms24065402. [PMID: 36982475 PMCID: PMC10048973 DOI: 10.3390/ijms24065402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 02/26/2023] [Accepted: 03/08/2023] [Indexed: 03/14/2023] Open
Abstract
Chronic kidney disease (CKD) is prevalent in 10% of world’s adult population. The role of protein glycosylation in causal mechanisms of CKD progression is largely unknown. The aim of this study was to identify urinary O-linked glycopeptides in association to CKD for better characterization of CKD molecular manifestations. Urine samples from eight CKD and two healthy subjects were analyzed by CE-MS/MS and glycopeptides were identified by a specific software followed by manual inspection of the spectra. Distribution of the identified glycopeptides and their correlation with Age, eGFR and Albuminuria were evaluated in 3810 existing datasets. In total, 17 O-linked glycopeptides from 7 different proteins were identified, derived primarily from Insulin-like growth factor-II (IGF2). Glycosylation occurred at the surface exposed IGF2 Threonine 96 position. Three glycopeptides (DVStPPTVLPDNFPRYPVGKF, DVStPPTVLPDNFPRYPVG and DVStPPTVLPDNFPRYP) exhibited positive correlation with Age. The IGF2 glycopeptide (tPPTVLPDNFPRYP) showed a strong negative association with eGFR. These results suggest that with aging and deteriorating kidney function, alterations in IGF2 proteoforms take place, which may reflect changes in mature IGF2 protein. Further experiments corroborated this hypothesis as IGF2 increased plasma levels were observed in CKD patients. Protease predictions, considering also available transcriptomics data, suggest activation of cathepsin S with CKD, meriting further investigation.
Collapse
Affiliation(s)
- Sonnal Lohia
- Center of Systems Biology, Biomedical Research Foundation of the Academy of Athens, 11527 Athens, Greece
- Institute for Molecular Cardiovascular Research, RWTH Aachen University Hospital, 52074 Aachen, Germany
| | | | - Jerome Zoidakis
- Center of Systems Biology, Biomedical Research Foundation of the Academy of Athens, 11527 Athens, Greece
| | - Manousos Makridakis
- Center of Systems Biology, Biomedical Research Foundation of the Academy of Athens, 11527 Athens, Greece
| | | | - Griet Glorieux
- Department of Internal Medicine and Pediatrics, Nephrology Division, Ghent University Hospital, 9000 Gent, Belgium
| | - Antonia Vlahou
- Center of Systems Biology, Biomedical Research Foundation of the Academy of Athens, 11527 Athens, Greece
| | - Vera Jankowski
- Institute for Molecular Cardiovascular Research, RWTH Aachen University Hospital, 52074 Aachen, Germany
- Correspondence: ; Tel.: +49-(0241)-80-80580
| |
Collapse
|
5
|
Liu Y, Pan X, Bao Y, Wei L, Gao Y. Many kinds of oxidized proteins are present more in the urine of the elderly. Clin Proteomics 2022; 19:22. [PMID: 35733114 PMCID: PMC9214981 DOI: 10.1186/s12014-022-09360-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Accepted: 06/08/2022] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Many studies have shown an association between aging and oxidation. To our knowledge, there have been no studies exploring aging-related urine proteome modifications. The purpose of this study was to explore differences in global chemical modifications of urinary protein at different ages. METHODS Discovery (n=38) cohort MS data including children, young and old groups were downloaded from three published studies, and this data was analyzed using open-pFind for identifying modifications. Verification cohort human samples (n=28) including young, middle-aged, and old groups, rat samples (n=7) at three-time points after birth, adulthood, and old age were collected and processed in the laboratory simultaneously based on label-free quantification combined with pFind. RESULTS Discovery cohort: there were 28 kinds of differential oxidations in the old group that were higher than those in the young or children group in. Verification cohort: there were 17 kinds of differential oxidations of 49 oxidized proteins in the middle and old groups, which were significantly higher than those in the young group. Both oxidations and oxidized proteins distinguished different age groups well. There were also 15 kinds of differential oxidations in old age higher than others in the rat cohort. The results showed that the validation experiment was basically consistent with the results of the discovery experiment, showing that the level of oxidized proteins in urine increased significantly with age. CONCLUSIONS Our study is the first to show that oxidative proteins occur in urine and that oxidations are higher in older than younger ages. Perhaps improving the degree of excretion of oxidative protein in vivo through the kidney is helpful for maintaining the homeostasis of the body's internal environment, delaying aging and the occurrence of senile diseases.
Collapse
Affiliation(s)
- Yongtao Liu
- Department of Biochemistry and Molecular Biology, Beijing Key Laboratory of Gene Engineering Drug and Biotechnology, Beijing Normal University, Beijing, 100875, China
| | - Xuanzhen Pan
- Department of Biochemistry and Molecular Biology, Beijing Key Laboratory of Gene Engineering Drug and Biotechnology, Beijing Normal University, Beijing, 100875, China
| | - Yijin Bao
- Department of Biochemistry and Molecular Biology, Beijing Key Laboratory of Gene Engineering Drug and Biotechnology, Beijing Normal University, Beijing, 100875, China
| | - Lilong Wei
- Clinical Laboratory, China-Japan Friendship Hospital, Beijing, 100029, China
| | - Youhe Gao
- Department of Biochemistry and Molecular Biology, Beijing Key Laboratory of Gene Engineering Drug and Biotechnology, Beijing Normal University, Beijing, 100875, China.
| |
Collapse
|
6
|
Tabang DN, Ford M, Li L. Recent Advances in Mass Spectrometry-Based Glycomic and Glycoproteomic Studies of Pancreatic Diseases. Front Chem 2021; 9:707387. [PMID: 34368082 PMCID: PMC8342852 DOI: 10.3389/fchem.2021.707387] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 07/12/2021] [Indexed: 12/14/2022] Open
Abstract
Modification of proteins by glycans plays a crucial role in mediating biological functions in both healthy and diseased states. Mass spectrometry (MS) has emerged as the most powerful tool for glycomic and glycoproteomic analyses advancing knowledge of many diseases. Such diseases include those of the pancreas which affect millions of people each year. In this review, recent advances in pancreatic disease research facilitated by MS-based glycomic and glycoproteomic studies will be examined with a focus on diabetes and pancreatic cancer. The last decade, and especially the last five years, has witnessed developments in both discovering new glycan or glycoprotein biomarkers and analyzing the links between glycans and disease pathology through MS-based studies. The strength of MS lies in the specificity and sensitivity of liquid chromatography-electrospray ionization MS for measuring a wide range of biomolecules from limited sample amounts from many sample types, greatly enhancing and accelerating the biomarker discovery process. Furthermore, imaging MS of glycans enabled by matrix-assisted laser desorption/ionization has proven useful in complementing histology and immunohistochemistry to monitor pancreatic disease progression. Advances in biological understanding and analytical techniques, as well as challenges and future directions for the field, will be discussed.
Collapse
Affiliation(s)
- Dylan Nicholas Tabang
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, United States
| | - Megan Ford
- Department of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, WI, United States
| | - Lingjun Li
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, United States.,School of Pharmacy, University of Wisconsin-Madison, Madison, WI, United States
| |
Collapse
|
7
|
López-Cortés R, Gómez BB, Vázquez-Estévez S, Pérez-Fentes D, Núñez C. Blood-based protein biomarkers in bladder urothelial tumors. J Proteomics 2021; 247:104329. [PMID: 34298186 DOI: 10.1016/j.jprot.2021.104329] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Accepted: 07/15/2021] [Indexed: 12/16/2022]
Abstract
Bladder cancer (BC) is the fifth most common cancer with a high prevalence rate. It is classically classified in two groups, namely non-muscle invasive (NMIBC) and muscle invasive (MIBC). NMIBC accounts for 75% of cases and has a better prognosis than MIBC. However, 30-50% of the NMIBC patients will show recurrences throughout their lives, and about 10-20% of them will progress to MIBC, with frequent metastasis and a reduced survival rate. The diagnosis of bladder cancer is confirmed by direct visualization of the tumour and other mucosal abnormalities with endoscopic excision using cystoscopy and transurethral resection of the bladder (TURBT). An adequate TURBT requires complete resection of all visible tumour with appropriate sampling of the bladder to assess the depth of invasion. However, for many years, researchers have attempted to identify and utilise urinary markers for bladder cancer detection. Voided urine cytology has been the mainstay of urine-based diagnosis of bladder cancer since originally described by Papanicolau and Marshall. Nonetheless, urine cytology has several drawbacks, including a poor sensitivity for low-grade/stage tumours, a lack of interobserver consistency and a variable range of readings (e.g., atypical, atypical-suspicious, non-diagnostic). These shortcomings have inspired the search for more sensitive bladder cancer biomarkers. To bring precision medicine to genitourinary oncology, the analysis of the plasma/serum wide genome and proteome offers promising possibilities.
Collapse
Affiliation(s)
- Rubén López-Cortés
- Research Unit, Hospital Universitario Lucus Augusti (HULA), Servizo Galego de Saúde (SERGAS), ES27002 Lugo, Spain
| | - Benito Blanco Gómez
- Urology Division, Hospital Universitario Lucus Augusti (HULA), Servizo Galego de Saúde (SERGAS), ES27002, Lugo, Spain
| | - Sergio Vázquez-Estévez
- Oncology Division, Hospital Universitario Lucus Augusti (HULA), Servizo Galego de Saúde (SERGAS), ES27002 Lugo, Spain
| | - Daniel Pérez-Fentes
- Urology Division, Complejo Hospitalario Universitario de Santiago de Compostela (CHUS), Servizo Galego de Saúde (SERGAS), ES15706 Santiago de Compostela, Spain
| | - Cristina Núñez
- Research Unit, Hospital Universitario Lucus Augusti (HULA), Servizo Galego de Saúde (SERGAS), ES27002 Lugo, Spain.
| |
Collapse
|
8
|
Hatakeyama S, Yoneyama T, Tobisawa Y, Yamamoto H, Ohyama C. Narrative review of urinary glycan biomarkers in prostate cancer. Transl Androl Urol 2021; 10:1850-1864. [PMID: 33968674 PMCID: PMC8100853 DOI: 10.21037/tau-20-964] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Prostate cancer (PC) is the second most common cancer in men worldwide. The application of the prostate-specific antigen (PSA) test has improved the diagnosis and treatment of PC. However, the PSA test has become associated with overdiagnosis and overtreatment. Therefore, there is an unmet need for novel diagnostic, prognostic, and predictive biomarkers of PC. Urinary glycoproteins and exosomes are a potential source of PC glycan biomarkers. Urinary glycan profiling can provide noninvasive monitoring of tumor heterogeneity and aggressiveness throughout a treatment course. However, urinary glycan profiling is not popular due to technical disadvantages, such as complicated structural analysis that requires specialized expertise. The technological development of glycan analysis is a rapidly advancing field. A lectin-based microarray can detect aberrant glycoproteins in urine, including PSA glycoforms and exosomes. Glycan enrichment beads can enrich the concentration of N-linked glycans specifically. Capillary electrophoresis, liquid chromatography-tandem mass spectrometry, and matrix-assisted laser desorption/ionization-time of flight mass spectrometry can detect glycans directory. Many studies suggest potential of urinary glycoproteins, exosomes, and glycosyltransferases as a biomarker of PC. Although further technological challenges remain, urinary glycan analysis is one of the promising approaches for cancer biomarker discovery.
Collapse
Affiliation(s)
- Shingo Hatakeyama
- Department of Advanced Blood Purification Therapy, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | - Tohru Yoneyama
- Department of Glycotechnology, Center for Advanced Medical Research, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | - Yuki Tobisawa
- Department of Urology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | - Hayato Yamamoto
- Department of Urology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | - Chikara Ohyama
- Department of Advanced Blood Purification Therapy, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.,Department of Glycotechnology, Center for Advanced Medical Research, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.,Department of Urology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| |
Collapse
|
9
|
Shen Y, Xiao K, Tian Z. Site- and structure-specific characterization of the human urinary N-glycoproteome with site-determining and structure-diagnostic product ions. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2021; 35:e8952. [PMID: 32965048 DOI: 10.1002/rcm.8952] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 09/14/2020] [Accepted: 09/15/2020] [Indexed: 06/11/2023]
Abstract
RATIONALE N-glycosylation is one of the most common protein post-translational modifications; it is extremely complex with multiple glycoforms from different monosaccharide compositions, sequences, glycosidic linkages, and anomeric positions. Each glycoform functions with a particular site- and structure-specific N-glycan that can be fully characterized using state-of-the-art tandem mass spectrometry (MS/MS) and the intact N-glycopeptide database search engine GPSeeker that we recently developed. Urine has recently gained increasing attention as a non-invasive source for disease marker discovery. In this study, we report our structure-specific N-glycoproteomics study of human urine. METHODS We performed trypsin digestion, Zwitterionic Hydrophilic Interaction chromatography (ZIC-HILIC) enrichment, C18-RPLC/nano-ESI-MS/MS using HCD with stepped normalized collisional energies, and GPSeeker database search for a comprehensive site- and structure-specific N-glycoproteomics characterization of the human urinary N-glycoproteome at the intact N-glycopeptide level. For this, we used b/y product ion pairs from the GlcNAc-containing site-determining peptide backbone and structure-diagnostic product ions from the N-glycan moieties, respectively. RESULTS We identified 2986 intact N-glycopeptides with comprehensive site and structure information for the peptide backbones (amino acid sequences and N-glycosites) and the N-glycan moieties (monosaccharide compositions, sequences/linkages). The 2986 intact N-glycopeptide IDs corresponded to 754 putative N-glycan linkage structures on 419 N-glycosites of 450 peptide backbones from 327 intact N-glycoproteins. Next, 146 linkage structures and 200 N-glycosites were confirmed with structure-diagnostic and GlcNAc-containing site-determining product ions, respectively. CONCLUSIONS We found 106 new N-glycosites not annotated in the current UniProt database. The elution-abundance patterns of urinary intact N-glycopeptide oxonium ions (m/z 138 and 204) of the same subject were temporally stable during the day and over 6 months. These patterns are rather different among different subjects. The results implied an interesting possibility that glycopeptide oxonium ion patterns could serve as distinguishing markers between individuals and/or between physiological and pathological states.
Collapse
Affiliation(s)
- Yun Shen
- School of Chemical Science and Engineering and Shanghai Key Laboratory of Chemical Assessment and Sustainability, Tongji University, Shanghai, 200092, China
| | - Kaijie Xiao
- School of Chemical Science and Engineering and Shanghai Key Laboratory of Chemical Assessment and Sustainability, Tongji University, Shanghai, 200092, China
| | - Zhixin Tian
- School of Chemical Science and Engineering and Shanghai Key Laboratory of Chemical Assessment and Sustainability, Tongji University, Shanghai, 200092, China
| |
Collapse
|
10
|
Bannaga AS, Metzger J, Kyrou I, Voigtländer T, Book T, Melgarejo J, Latosinska A, Pejchinovski M, Staessen JA, Mischak H, Manns MP, Arasaradnam RP. Discovery, validation and sequencing of urinary peptides for diagnosis of liver fibrosis-A multicentre study. EBioMedicine 2020; 62:103083. [PMID: 33160210 PMCID: PMC7648178 DOI: 10.1016/j.ebiom.2020.103083] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 09/23/2020] [Accepted: 10/07/2020] [Indexed: 12/11/2022] Open
Abstract
Background Liver fibrosis is a consequence of chronic inflammation and is associated with protein changes within the hepatocytes structure. In this study, we aimed to investigate if this is reflected by the urinary proteome and can be explored to diagnose liver fibrosis in patients with chronic liver disease. Methods In a multicentre combined cross-sectional and prospective diagnostic test validation study, 129 patients with varying degrees of liver fibrosis and 223 controls without liver fibrosis were recruited. Additionally, 41 patients with no liver, but kidney fibrosis were included to evaluate interference with expressions of kidney fibrosis. Urinary low molecular weight proteome was analysed by capillary electrophoresis coupled to mass spectrometry (CE-MS) and a support vector machine marker model was established by integration of peptide markers for liver fibrosis. Findings CE-MS enabled identification of 50 urinary peptides associated with liver fibrosis. When combined into a classifier, LivFib-50, it separated patients with liver fibrosis (N = 31) from non-liver disease controls (N = 123) in cross-sectional diagnostic phase II evaluation with an area under the curve (AUC) of 0.94 (95% confidence intervals (CI): 0.89–0.97, p<0.0001). When adjusted for age, LivFib-50 demonstrated an AUC of 0.94 (95% CI: 0.89–0.97, p<0.0001) in chronic liver disease patients with (N = 19) or without (N = 17) liver fibrosis progression. In this prospective diagnostic phase III validation set, age-adjusted LivFib-50 showed 84.2% sensitivity (95% CI: 60.4–96.6) and 82.4% specificity (95% CI: 56.6–96.2) for detection of liver fibrosis. The sequence-identified peptides are mainly fragments of collagen chains, uromodulin and Na/K-transporting ATPase subunit γ. We also identified ten putative proteolytic cleavage sites, eight were specific for matrix metallopeptidases and two for cathepsins. Interpretation In liver fibrosis, urinary peptides profiling offers potential diagnostic markers and leads to discovery of proteolytic sites that could be targets for developing anti-fibrotic therapy.
Collapse
Affiliation(s)
- Ayman S Bannaga
- Department of Gastroenterology and Hepatology, University Hospital Coventry and Warwickshire NHS Trust, Clifford Bridge Road, Coventry CV2 2DX, UK; Warwick Medical School, University of Warwick, Coventry CV4 7HL, UK.
| | | | - Ioannis Kyrou
- Warwick Medical School, University of Warwick, Coventry CV4 7HL, UK; Aston Medical Research Institute, Aston Medical School, Aston University, Birmingham B4 7ET, UK; Warwickshire Institute for the Study of Diabetes, Endocrinology and Metabolism (WISDEM), University Hospital Coventry and Warwickshire NHS Trust, Coventry CV2 2DX, UK
| | - Torsten Voigtländer
- Department of Gastroenterology, Hepatology and Endocrinology, Hannover Medical School, Hannover, Germany
| | - Thorsten Book
- Department of Gastroenterology, Hepatology and Endocrinology, Hannover Medical School, Hannover, Germany
| | - Jesus Melgarejo
- Department of Cardiovascular Sciences, Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven, University of Leuven, Leuven, Belgium; Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands
| | | | | | - Jan A Staessen
- Department of Cardiovascular Sciences, Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven, University of Leuven, Leuven, Belgium; Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, the Netherlands
| | | | - Michael P Manns
- Department of Gastroenterology, Hepatology and Endocrinology, Hannover Medical School, Hannover, Germany
| | - Ramesh P Arasaradnam
- Department of Gastroenterology and Hepatology, University Hospital Coventry and Warwickshire NHS Trust, Clifford Bridge Road, Coventry CV2 2DX, UK; Warwick Medical School, University of Warwick, Coventry CV4 7HL, UK; Faculty of Health and Life Sciences, Coventry University, Priory St, Coventry CV1 5FB, UK; School of Biological Sciences, University of Leicester, University Road, Leicester LE1 7RH, UK
| |
Collapse
|
11
|
Clark DJ, Zhang H. Proteomic approaches for characterizing renal cell carcinoma. Clin Proteomics 2020; 17:28. [PMID: 32742246 PMCID: PMC7391522 DOI: 10.1186/s12014-020-09291-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Accepted: 05/15/2020] [Indexed: 12/24/2022] Open
Abstract
Renal cell carcinoma is among the top 15 most commonly diagnosed cancers worldwide, comprising multiple sub-histologies with distinct genomic, proteomic, and clinicopathological features. Proteomic methodologies enable the detection and quantitation of protein profiles associated with the disease state and have been explored to delineate the dysregulated cellular processes associated with renal cell carcinoma. In this review we highlight the reports that employed proteomic technologies to characterize tissue, blood, and urine samples obtained from renal cell carcinoma patients. We describe the proteomic approaches utilized and relate the results of studies in the larger context of renal cell carcinoma biology. Moreover, we discuss some unmet clinical needs and how emerging proteomic approaches can seek to address them. There has been significant progress to characterize the molecular features of renal cell carcinoma; however, despite the large-scale studies that have characterized the genomic and transcriptomic profiles, curative treatments are still elusive. Proteomics facilitates a direct evaluation of the functional modules that drive pathobiology, and the resulting protein profiles would have applications in diagnostics, patient stratification, and identification of novel therapeutic interventions.
Collapse
Affiliation(s)
- David J. Clark
- Department of Pathology, The Johns Hopkins University, Baltimore, MD 21231 USA
| | - Hui Zhang
- Department of Pathology, The Johns Hopkins University, Baltimore, MD 21231 USA
| |
Collapse
|
12
|
Affiliation(s)
| | | | - Ronghu Wu
- School of Chemistry and Biochemistry and the Parker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| |
Collapse
|
13
|
He Y, Mohamedali A, Huang C, Baker MS, Nice EC. Oncoproteomics: Current status and future opportunities. Clin Chim Acta 2019; 495:611-624. [PMID: 31176645 DOI: 10.1016/j.cca.2019.06.006] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Revised: 06/05/2019] [Accepted: 06/05/2019] [Indexed: 02/07/2023]
Abstract
Oncoproteomics is the systematic study of cancer samples using omics technologies to detect changes implicated in tumorigenesis. Recent progress in oncoproteomics is already opening new avenues for the identification of novel biomarkers for early clinical stage cancer detection, targeted molecular therapies, disease monitoring, and drug development. Such information will lead to new understandings of cancer biology and impact dramatically on the future care of cancer patients. In this review, we will summarize the advantages and limitations of the key technologies used in (onco)proteogenomics, (the Omics Pipeline), explain how they can assist us in understanding the biology behind the overarching "Hallmarks of Cancer", discuss how they can advance the development of precision/personalised medicine and the future directions in the field.
Collapse
Affiliation(s)
- Yujia He
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, PR China
| | - Abidali Mohamedali
- Department of Molecular Sciences, Faculty of Science and Engineering, Macquarie University, New South Wales 2109, Australia
| | - Canhua Huang
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, PR China
| | - Mark S Baker
- Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University, New South Wales 2109, Australia.
| | - Edouard C Nice
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, PR China; Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University, New South Wales 2109, Australia; Department of Biochemistry and Molecular Biology, Monash University, Clayton, Australia.
| |
Collapse
|