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Bertolone L, Castagna A, Manfredi M, De Santis D, Ambrosani F, Antinori E, Mulatero P, Danese E, Marengo E, Barberis E, Veneri M, Martinelli N, Friso S, Pizzolo F, Olivieri O. Proteomic analysis of urinary extracellular vesicles highlights specific signatures for patients with primary aldosteronism. Front Endocrinol (Lausanne) 2023; 14:1096441. [PMID: 37223008 PMCID: PMC10200877 DOI: 10.3389/fendo.2023.1096441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Accepted: 04/03/2023] [Indexed: 05/25/2023] Open
Abstract
Background Urinary extracellular vesicles (uEVs) can be released by different cell types facing the urogenital tract and are involved in cellular trafficking, differentiation and survival. UEVs can be easily detected in urine and provide pathophysiological information "in vivo" without the need of a biopsy. Based on these premises, we hypothesized that uEVs proteomic profile may serve as a valuable tool in the differential characterization between Essential Hypertension (EH) and primary aldosteronism (PA). Methods Patients with essential hypertension (EH) and PA were enrolled in the study (EH= 12, PA=24: 11 Bilateral Primary Aldosteronism subtype (BPA) and 13 Aldosterone Producing Adenoma (APA)). Clinical and biochemical parameters were available for all the subjects. UEVs were isolated from urine by ultracentrifugation and analysed by Transmission Electron Microscopy (TEM) and nanotrack particle analysis (NTA). UEVs protein content was investigated through an untargeted MS-based approach. Statistical and network analysis was performed to identify potential candidates for the identification and classification of PA. Results MS analysis provided more than 300 protein identifications. Exosomal markers CD9 and CD63 were detected in all samples. Several molecules characterizing EH vs PA patients as well as BPA and APA subtypes were identified after statistical elaboration and filtering of the results. In particular, some key proteins involved in water reabsorption mechanisms, such as AQP1 and AQP2, were among the best candidates for discriminating EH vs PA, as well as A1AG1 (AGP1). Conclusion Through this proteomic approach, we identified uEVs molecular indicators that can improve PA characterization and help in the gain of insights of the pathophysiological features of this disease. In particular, PA was characterized by a reduction of AQP1 and AQP2 expression as compared with EH.
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Affiliation(s)
- Lorenzo Bertolone
- Department of Medicine, Unit of Internal Medicine, University of Verona, Verona, Italy
| | - Annalisa Castagna
- Department of Medicine, Unit of Internal Medicine, University of Verona, Verona, Italy
| | - Marcello Manfredi
- Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy
- Center for Translational Research on Autoimmune and Allergic Diseases, University of Piemonte Orientale, Novara, Italy
| | - Domenica De Santis
- Department of Medicine, Unit of Internal Medicine, University of Verona, Verona, Italy
| | - Francesca Ambrosani
- Department of Medicine, Unit of Internal Medicine, University of Verona, Verona, Italy
| | - Elisa Antinori
- Department of Medicine, Unit of Internal Medicine, University of Verona, Verona, Italy
| | - Paolo Mulatero
- Department of Medical Sciences, Division of Internal Medicine and Hypertension University of Torino, Torino, Italy
| | - Elisa Danese
- Section of Clinical Biochemistry, University and Azienda Ospedaliera Universitaria Integrata of Verona, Verona, Italy
| | - Emilio Marengo
- Department of Sciences and Technological Innovation, University of Piemonte Orientale, Alessandria, Italy
| | - Elettra Barberis
- Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy
| | - Mariangela Veneri
- Department of Medicine, Unit of Internal Medicine, University of Verona, Verona, Italy
| | - Nicola Martinelli
- Department of Medicine, Unit of Internal Medicine, University of Verona, Verona, Italy
| | - Simonetta Friso
- Department of Medicine, Unit of Internal Medicine, University of Verona, Verona, Italy
| | - Francesca Pizzolo
- Department of Medicine, Unit of Internal Medicine, University of Verona, Verona, Italy
| | - Oliviero Olivieri
- Department of Medicine, Unit of Internal Medicine, University of Verona, Verona, Italy
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Shao C, Zhao M, Chen X, Sun H, Yang Y, Xiao X, Guo Z, Liu X, Lv Y, Chen X, Sun W, Wu D, Gao Y. Comprehensive Analysis of Individual Variation in the Urinary Proteome Revealed Significant Gender Differences. Mol Cell Proteomics 2019; 18:1110-1122. [PMID: 30894400 PMCID: PMC6553935 DOI: 10.1074/mcp.ra119.001343] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2019] [Revised: 03/15/2019] [Indexed: 12/15/2022] Open
Abstract
Disease biomarkers are the measurable changes associated with a pathophysiological process. Without homeostatic control, urine accumulates systematic changes in the body. Thus, urine is an attractive biological material for the discovery of disease biomarkers. One of the major bottlenecks in urinary biomarker discovery is that the concentration and composition of urinary proteins are influenced by many physiological factors. To elucidate the individual variation and related factors influencing the urinary proteome, we comprehensively analyzed the urine samples from healthy adult donors (aged 20-69 years). Co-expression network analysis revealed protein clusters representing the metabolic status, gender-related differences and age-related differences in urinary proteins. In particular, we demonstrated that gender is a crucial factor contributing to individual variation. Proteins that were increased in the male urine samples include prostate-secreted proteins and TIMP1, a protein whose abundance alters under various cancers and renal diseases; however, the proteins that were increased in the female urine samples have known functions in the immune system. Nine gender-related proteins were validated on 85 independent samples by multiple reaction monitoring. Five of these proteins were further used to build a model that could accurately distinguish male and female urine samples with an area under curve value of 0.94. Based on the above results, we strongly suggest that future biomarker investigations should consider gender as a crucial factor in experimental design and data analysis. Finally, reference intervals of each urinary protein were estimated, providing a baseline for the discovery of abnormalities.
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Affiliation(s)
- Chen Shao
- From the ‡Center for Bioinformatics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China
- §State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences(Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Mindi Zhao
- ¶Department of Laboratory Medicine, Beijing Hospital, National Center of Gerontology, Beijing, 100730, China
- ‖Department of Pathophysiology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College
| | - Xizhao Chen
- **Department of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing, China
| | - Haidan Sun
- ‡‡Core Facility of Instrument, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College
| | - Yehong Yang
- ‡‡Core Facility of Instrument, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College
| | - Xiaoping Xiao
- ‡‡Core Facility of Instrument, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College
- §§Cytology Lab, Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Peking Union Medical College, Beijing, China
| | - Zhengguang Guo
- ‡‡Core Facility of Instrument, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College
| | - Xiaoyan Liu
- ‡‡Core Facility of Instrument, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College
| | - Yang Lv
- **Department of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing, China
| | - Xiangmei Chen
- **Department of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing, China
| | - Wei Sun
- ‡‡Core Facility of Instrument, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College;
| | - Di Wu
- **Department of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing, China;
| | - Youhe Gao
- ¶¶Department of Biochemistry and Molecular Biology, Beijing Normal University, Gene Engineering Drug and Biotechnology Beijing Key Laboratory, Beijing, China
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Lana A, Alexander K, Castagna A, D'Alessandro A, Morandini F, Pizzolo F, Zorzi F, Mulatero P, Zolla L, Olivieri O. Urinary Metabolic Signature of Primary Aldosteronism: Gender and Subtype-Specific Alterations. Proteomics Clin Appl 2019; 13:e1800049. [PMID: 30580498 DOI: 10.1002/prca.201800049] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Revised: 12/03/2018] [Indexed: 12/19/2022]
Abstract
PURPOSE The current clinical investigation for primary aldosteronism (PA) diagnosis requires complex expensive tests from the initial suspicion to the final subtype classification, including invasive approaches; therefore, appropriate markers for subtype definition are greatly desirable. The present study performs a metabolomics analysis to further examine specific molecular signatures of PA urines EXPERIMENTAL DESIGN: The study considered PA subtype and gender-related differences using two orthogonal advanced UHPLC-MS metabolomics approaches. Patients with essential hypertension (n = 36) and PA (n = 50) who were referred to the outpatient hypertension clinic and matched healthy subjects (n = 10) are investigated. RESULTS Statistically significant changes (p < 0.05 ANOVA, Fc > 1.5) of metabolites involved in central carbon, energy, and nitrogen metabolism are identified, especially purine and pyrimidine nucleosides and precursors, and free amino acids. PLS-DA interpretation provides strong evidence of a disease-specific metabolic pattern with dAMP, diiodothyronine, and 5-methoxytryptophan as leading factors, and a sex-specific metabolic pattern associated with orotidine 5-phosphate, N-acetylalanine, hydroxyproline, and cysteine. The results are verified using an independent sample set, which confirms the identification of specific signatures. CONCLUSIONS AND CLINICAL RELEVANCE Metabolomics is used to identify low molecular weight molecular markers of PA, which paves the way for follow-up validation studies in larger cohorts.
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Affiliation(s)
- Alessandro Lana
- Department of Ecological and Biological Sciences, Tuscia University, 01100, Viterbo, Italy
| | - Keisha Alexander
- Departments of Biochemistry and Molecular Genetics, University of Colorado Denver, Anschutz Medical Campus, 80045, Aurora, CO, USA
| | - Annalisa Castagna
- Department of Medicine, Unit of Internal Medicine, University of Verona, 37134, Verona, Italy
| | - Angelo D'Alessandro
- Departments of Biochemistry and Molecular Genetics, University of Colorado Denver, Anschutz Medical Campus, 80045, Aurora, CO, USA
| | - Francesca Morandini
- Department of Medicine, Unit of Internal Medicine, University of Verona, 37134, Verona, Italy
| | - Francesca Pizzolo
- Department of Medicine, Unit of Internal Medicine, University of Verona, 37134, Verona, Italy
| | - Francesco Zorzi
- Department of Medicine, Unit of Internal Medicine, University of Verona, 37134, Verona, Italy
| | - Paolo Mulatero
- Department of Medicine and Experimental Oncology, Division of Internal Medicine and Hypertension Unit, University of Turin, 10124, Turin, Italy
| | - Lello Zolla
- Department of Ecological and Biological Sciences, Tuscia University, 01100, Viterbo, Italy
| | - Oliviero Olivieri
- Department of Medicine, Unit of Internal Medicine, University of Verona, 37134, Verona, Italy
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Harpole M, Davis J, Espina V. Current state of the art for enhancing urine biomarker discovery. Expert Rev Proteomics 2017; 13:609-26. [PMID: 27232439 DOI: 10.1080/14789450.2016.1190651] [Citation(s) in RCA: 86] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
INTRODUCTION Urine is a highly desirable biospecimen for biomarker analysis because it can be collected recurrently by non-invasive techniques, in relatively large volumes. Urine contains cellular elements, biochemicals, and proteins derived from glomerular filtration of plasma, renal tubule excretion, and urogenital tract secretions that reflect, at a given time point, an individual's metabolic and pathophysiologic state. AREAS COVERED High-resolution mass spectrometry, coupled with state of the art fractionation systems are revealing the plethora of diagnostic/prognostic proteomic information existing within urinary exosomes, glycoproteins, and proteins. Affinity capture pre-processing techniques such as combinatorial peptide ligand libraries and biomarker harvesting hydrogel nanoparticles are enabling measurement/identification of previously undetectable urinary proteins. Expert commentary: Future challenges in the urinary proteomics field include a) defining either single or multiple, universally applicable data normalization methods for comparing results within and between individual patients/data sets, and b) defining expected urinary protein levels in healthy individuals.
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Affiliation(s)
- Michael Harpole
- a Center for Applied Proteomics and Molecular Medicine , George Mason University , Manassas , VA , USA
| | - Justin Davis
- b Department of Chemistry/Biochemistry , George Mason University , Manassas , VA , USA
| | - Virginia Espina
- a Center for Applied Proteomics and Molecular Medicine , George Mason University , Manassas , VA , USA
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Tamir A, Gangadharan A, Balwani S, Tanaka T, Patel U, Hassan A, Benke S, Agas A, D'Agostino J, Shin D, Yoon S, Goy A, Pecora A, Suh KS. The serine protease prostasin (PRSS8) is a potential biomarker for early detection of ovarian cancer. J Ovarian Res 2016; 9:20. [PMID: 27036110 PMCID: PMC4815131 DOI: 10.1186/s13048-016-0228-9] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2016] [Accepted: 03/17/2016] [Indexed: 12/19/2022] Open
Abstract
Background Ovarian cancer (OVC) is the deadliest of all gynecologic cancers, primarily as a consequence of asymptomatic progression. The complex nature of OVC creates challenges for early detection, and there is a lack of specific and sensitive biomarkers suitable for screening and detecting early stage OVC. Methods Potential OVC biomarkers were identified by bioinformatic analysis. Candidates were further screened for differential expression in a library of OVC cell lines. OVC-specific overexpression of a candidate gene, PRSS8, which encodes prostasin, was confirmed against 18 major human cancer types from 390 cancer samples by qRT-PCR. PRSS8 expression profiles stratified by OVC tumor stage-, grade- and subtype were generated using cDNA samples from 159 OVC samples. Cell-specific expression and localization of prostasin was determined by immunohistological tissue array analysis of more than 500 normal, benign, and cancerous ovarian tissues. The presence of prostasin in normal, benign, and OVC serum samples was also determined. Results Gene expression analysis indicated that PRSS8 was expressed in OVC at levels more than 100 fold greater than found in normal or benign ovarian lesions. This overexpression signature was found in early stages of OVC and was maintained in higher stages and grades of OVC. The PRSS8 overexpression signature was specific for OVC and urinary bladder cancer among 18 human cancer types. The majority of ovarian cell lines overexpressed PRSS8. In situ hybridization and histopathology studies of OVC tissues indicated that overexpression of prostasin was largely localized to tumor epithelium and was absent in neighboring stroma. Significantly higher levels of prostasin were found in early stage OVC serum samples compared to benign ovarian and normal donor samples. Conclusions The abundant amounts of secreted prostasin found in sera of early stage OVC can potentially be used as a minimally invasive screening biomarker for early stage OVC. Overexpression of PRSS8 mRNA and high levels of prostasin in multiple subtypes of early stage ovarian tumors may provide clinical biomarkers for early detection of OVC, which can potentially be used with CA125 and HE4. Electronic supplementary material The online version of this article (doi:10.1186/s13048-016-0228-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Ayala Tamir
- The Genomics and Biomarkers Program, The John Theurer Cancer Center, Hackensack University Medical Center, D. Jurist Research Building, 40 Prospect Avenue, Hackensack, NJ, 07601, USA
| | - Anju Gangadharan
- The Genomics and Biomarkers Program, The John Theurer Cancer Center, Hackensack University Medical Center, D. Jurist Research Building, 40 Prospect Avenue, Hackensack, NJ, 07601, USA
| | - Sakshi Balwani
- The Genomics and Biomarkers Program, The John Theurer Cancer Center, Hackensack University Medical Center, D. Jurist Research Building, 40 Prospect Avenue, Hackensack, NJ, 07601, USA
| | - Takemi Tanaka
- Stephenson Cancer Center, University of Oklahoma Health Science Center, Oklahoma city, OK, 73104, USA
| | - Ushma Patel
- The Genomics and Biomarkers Program, The John Theurer Cancer Center, Hackensack University Medical Center, D. Jurist Research Building, 40 Prospect Avenue, Hackensack, NJ, 07601, USA
| | - Ahmed Hassan
- The Genomics and Biomarkers Program, The John Theurer Cancer Center, Hackensack University Medical Center, D. Jurist Research Building, 40 Prospect Avenue, Hackensack, NJ, 07601, USA
| | - Stephanie Benke
- The Genomics and Biomarkers Program, The John Theurer Cancer Center, Hackensack University Medical Center, D. Jurist Research Building, 40 Prospect Avenue, Hackensack, NJ, 07601, USA
| | - Agnieszka Agas
- The Genomics and Biomarkers Program, The John Theurer Cancer Center, Hackensack University Medical Center, D. Jurist Research Building, 40 Prospect Avenue, Hackensack, NJ, 07601, USA
| | - Joseph D'Agostino
- The Genomics and Biomarkers Program, The John Theurer Cancer Center, Hackensack University Medical Center, D. Jurist Research Building, 40 Prospect Avenue, Hackensack, NJ, 07601, USA
| | - Dayoung Shin
- The Genomics and Biomarkers Program, The John Theurer Cancer Center, Hackensack University Medical Center, D. Jurist Research Building, 40 Prospect Avenue, Hackensack, NJ, 07601, USA
| | - Sunghoon Yoon
- The Genomics and Biomarkers Program, The John Theurer Cancer Center, Hackensack University Medical Center, D. Jurist Research Building, 40 Prospect Avenue, Hackensack, NJ, 07601, USA
| | - Andre Goy
- Clinical Divisions, John Theurer Cancer Center, Hackensack University Medical Center, Hackensack, NJ, 07601, USA
| | - Andrew Pecora
- Clinical Divisions, John Theurer Cancer Center, Hackensack University Medical Center, Hackensack, NJ, 07601, USA
| | - K Stephen Suh
- The Genomics and Biomarkers Program, The John Theurer Cancer Center, Hackensack University Medical Center, D. Jurist Research Building, 40 Prospect Avenue, Hackensack, NJ, 07601, USA.
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Prostasin and matriptase (ST14) in placenta from preeclamptic and healthy pregnant women. J Hypertens 2016; 34:298-306. [DOI: 10.1097/hjh.0000000000000795] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
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