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Azeze GG, Wu L, Alemu BK, Lee WF, Fung LWY, Cheung ECW, Zhang T, Wang CC. Proteomics approach to discovering non-invasive diagnostic biomarkers and understanding the pathogenesis of endometriosis: a systematic review and meta-analysis. J Transl Med 2024; 22:685. [PMID: 39061077 PMCID: PMC11282838 DOI: 10.1186/s12967-024-05474-3] [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: 04/12/2024] [Accepted: 07/03/2024] [Indexed: 07/28/2024] Open
Abstract
BACKGROUND Endometriosis is one of the most common gynaecological diseases, yet it lacks efficient biomarkers for early detection and unravels disease mechanisms. Proteomic profiling has revealed diverse patterns of protein changes in various clinical samples. Integrating and systematically analysing proteomics data can facilitate the development of biomarkers, expediting diagnosis and providing insights for potential clinical and therapeutic applications. Hence, this systematic review and meta-analysis aimed to explore potential non-invasive diagnostic biomarkers in various biological samples and therapeutic targets for endometriosis. METHODS Online databases, including Scopus, PubMed, Web of Science, MEDLINE, Embase via Ovid, and Google Scholar, were searched using MeSH terms. Two independent authors screened the articles, extracted the data, and assessed the methodological quality of the included studies. GO and KEGG analyses were performed to identify the pathways that were significantly enriched. Protein‑protein interaction and hub gene selection analyses were also conducted to identify biomarker networks for endometriosis. RESULTS Twenty-six observational studies with a total of 2,486 participants were included. A total of 644 differentially expressed proteins (180 upregulated and 464 downregulated) were identified from 9 studies. Proteins in peripheral blood exhibited a sensitivity and specificity of 38-100% and 59-99%, respectively, for detecting endometriosis, while proteins in urine had a sensitivity of 58-91% and specificity of 76-93%. Alpha-1-antitrypsin, albumin, and vitamin D binding proteins were significantly DEPs in both serum and urine. Complement C3 is commonly expressed in serum, menstrual blood, and cervical mucus. Additionally, S100-A8 is commonly expressed in both menstrual blood and cervical mucus. Haptoglobin is commonly detected in both serum and plasma, whereas cathepsin G is found in urine, serum, and plasma. GO and KEGG enrichment analyses revealed that proteoglycans in cancer pathways, which regulate cell-to-cell interactions, modulate the extracellular matrix, and promote the proliferation and invasion of endometrial cells, are commonly enriched in serum and urine. CONCLUSION This comprehensive study revealed potential proteomes that were significantly differentially expressed in women with endometriosis utilizing various non-invasive clinical samples. Exploring common differentially expressed proteins in various biological samples provides insights into the diagnosis and pathophysiology of endometriosis, as well as potential clinical and therapeutic applications.
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Affiliation(s)
- Getnet Gedefaw Azeze
- Department of Obstetrics and Gynaecology, Faculty of Medicine, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR
- Department of Midwifery, College of Medicine and Health Sciences, Injibara University, Injibara, Ethiopia
| | - Ling Wu
- Department of Obstetrics and Gynaecology, Faculty of Medicine, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR
| | - Bekalu Kassie Alemu
- Department of Obstetrics and Gynaecology, Faculty of Medicine, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR
- Department of Midwifery, College of Medicine and Health Sciences, Debre Markos University, Debre Markos, Ethiopia
| | - Wing Fong Lee
- Department of Obstetrics and Gynaecology, Faculty of Medicine, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR
| | - Linda Wen Ying Fung
- Department of Obstetrics and Gynaecology, Faculty of Medicine, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR
| | - Eva Chun Wai Cheung
- Department of Obstetrics and Gynaecology, Faculty of Medicine, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR
| | - Tao Zhang
- Department of Obstetrics and Gynaecology, Faculty of Medicine, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR.
| | - Chi Chiu Wang
- Department of Obstetrics and Gynaecology, Faculty of Medicine, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong SAR.
- School of Biomedical Sciences; Li Ka Shing Institute of Health Sciences; Chinese University of Hong Kong - Sichuan University Joint Laboratory in Reproductive Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR.
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Elguoshy A, Yamamoto K, Hirao Y, Uchimoto T, Yanagita K, Yamamoto T. Investigating and Annotating the Human Peptidome Profile from Urine under Normal Physiological Conditions. Proteomes 2024; 12:18. [PMID: 39051237 PMCID: PMC11270373 DOI: 10.3390/proteomes12030018] [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: 05/11/2024] [Revised: 06/10/2024] [Accepted: 06/21/2024] [Indexed: 07/27/2024] Open
Abstract
Examining the composition of the typical urinary peptidome and identifying the enzymes responsible for its formation holds significant importance, as it mirrors the normal physiological state of the human body. Any deviation from this normal profile could serve as an indicator of pathological processes occurring in vivo. Consequently, this study focuses on characterizing the normal urinary peptidome and investigating the various catalytic enzymes that are involved in generating these native peptides in urine. Our findings reveal that 1503 endogenous peptides, corresponding to 436 precursor proteins, were consistently identified robustly in at least 10 samples out of a total of 19 samples. Notably, the liver and kidneys exhibited the highest number of tissue-enriched or enhanced genes in the analyzed urinary peptidome. Furthermore, among the catalytic types, CTSD (cathepsin D) and MMP2 (matrix metalloproteinase-2) emerged as the most prominent peptidases in the aspartic and metallopeptidases categories, respectively. A comparison of our dataset with two of the most comprehensive urine peptidome datasets to date indicates a consistent relative abundance of core endogenous peptides for different proteins across all three datasets. These findings can serve as a foundational reference for the discovery of biomarkers in various human diseases.
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Affiliation(s)
- Amr Elguoshy
- Biofluid and Biomarker Center, Kidney Research Center, Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-2181, Japan; (A.E.); (K.Y.); (Y.H.); (T.U.); (K.Y.)
- Department of Biotechnology, Faculty of Agriculture, Al-Azhar University, Cairo 11651, Egypt
| | - Keiko Yamamoto
- Biofluid and Biomarker Center, Kidney Research Center, Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-2181, Japan; (A.E.); (K.Y.); (Y.H.); (T.U.); (K.Y.)
| | - Yoshitoshi Hirao
- Biofluid and Biomarker Center, Kidney Research Center, Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-2181, Japan; (A.E.); (K.Y.); (Y.H.); (T.U.); (K.Y.)
| | - Tomohiro Uchimoto
- Biofluid and Biomarker Center, Kidney Research Center, Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-2181, Japan; (A.E.); (K.Y.); (Y.H.); (T.U.); (K.Y.)
| | - Kengo Yanagita
- Biofluid and Biomarker Center, Kidney Research Center, Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-2181, Japan; (A.E.); (K.Y.); (Y.H.); (T.U.); (K.Y.)
| | - Tadashi Yamamoto
- Biofluid and Biomarker Center, Kidney Research Center, Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-2181, Japan; (A.E.); (K.Y.); (Y.H.); (T.U.); (K.Y.)
- Department of Clinical Laboratory, Shinrakuen Hospital, Niigata 950-2087, Japan
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Brasileiro-Martins LM, Cavalcante SA, Nascimento TP, Silva-Neto AV, Mariano Santos MD, Camillo-Andrade AC, da Gama Fischer JDS, Ferreira CC, Oliveira LB, Sartim MA, Costa AG, Pucca MB, Wen FH, Moura-da-Silva AM, Sachett J, Carvalho PC, de Aquino PF, Monteiro WM. Urinary proteomics reveals biological processes related to acute kidney injury in Bothrops atrox envenomings. PLoS Negl Trop Dis 2024; 18:e0012072. [PMID: 38536893 PMCID: PMC11020875 DOI: 10.1371/journal.pntd.0012072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 04/16/2024] [Accepted: 03/14/2024] [Indexed: 04/18/2024] Open
Abstract
Acute kidney injury (AKI) is a critical systemic complication caused by Bothrops envenoming, a neglected health problem in the Brazilian Amazon. Understanding the underlying mechanisms leading to AKI is crucial for effectively mitigating the burden of this complication. This study aimed to characterize the urinary protein profile of Bothrops atrox snakebite victims who developed AKI. We analyzed three groups of samples collected on admission: healthy subjects (controls, n = 10), snakebite victims who developed AKI (AKI, n = 10), and those who did not evolve to AKI (No-AKI, n = 10). Using liquid-chromatography tandem mass spectrometry, we identified and quantified (label-free) 1190 proteins. A panel of 65 proteins was identified exclusively in the urine of snakebite victims, with 32 exclusives to the AKI condition. Proteins more abundant or exclusive in AKI's urine were associated with acute phase response, endopeptidase inhibition, complement cascade, and inflammation. Notable proteins include serotransferrin, SERPINA-1, alpha-1B-glycoprotein, and NHL repeat-containing protein 3. Furthermore, evaluating previously reported biomarkers candidates for AKI and renal injury, we found retinol-binding protein, beta-2-microglobulin, cystatin-C, and hepcidin to be significant in cases of AKI induced by Bothrops envenoming. This work sheds light on physiological disturbances caused by Bothrops envenoming, highlighting potential biological processes contributing to AKI. Such insights may aid in better understanding and managing this life-threatening complication.
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Affiliation(s)
- Lisele Maria Brasileiro-Martins
- Department of Research, Dr. Heitor Vieira Dourado Tropical Medicine Foundation, Manaus, Brazil
- School of Health Sciences, Amazonas State University, Manaus, Brazil
| | | | - Thaís Pinto Nascimento
- Department of Research, Dr. Heitor Vieira Dourado Tropical Medicine Foundation, Manaus, Brazil
- School of Health Sciences, Amazonas State University, Manaus, Brazil
- Leonidas and Maria Deane Institute, Oswaldo Cruz Foundation, Manaus, Brazil
| | - Alexandre Vilhena Silva-Neto
- Department of Research, Dr. Heitor Vieira Dourado Tropical Medicine Foundation, Manaus, Brazil
- School of Health Sciences, Amazonas State University, Manaus, Brazil
| | - Marlon Dias Mariano Santos
- Structural and Computational Proteomics Laboratory, Carlos Chagas Institute, Oswaldo Cruz Foundation, Curitiba, Brazil
| | - Amanda C. Camillo-Andrade
- Structural and Computational Proteomics Laboratory, Carlos Chagas Institute, Oswaldo Cruz Foundation, Curitiba, Brazil
| | | | | | | | - Marco Aurelio Sartim
- Department of Research, Dr. Heitor Vieira Dourado Tropical Medicine Foundation, Manaus, Brazil
- School of Health Sciences, Amazonas State University, Manaus, Brazil
- Department of Research, Nilton Lins University, Manaus, Brazil
| | - Allyson Guimarães Costa
- Department of Research, Dr. Heitor Vieira Dourado Tropical Medicine Foundation, Manaus, Brazil
- School of Health Sciences, Amazonas State University, Manaus, Brazil
- Nursing School, Amazonas Federal University, Manaus, Brazil
| | - Manuela B. Pucca
- Department of Clinical Analysis, School of Pharmaceutical Sciences, São Paulo State University, Araraquara, Brazil
| | - Fan Hui Wen
- Immunopathology Laboratory, Butantan Institute, São Paulo, Brazil
| | | | - Jacqueline Sachett
- Department of Research, Dr. Heitor Vieira Dourado Tropical Medicine Foundation, Manaus, Brazil
- Immunopathology Laboratory, Butantan Institute, São Paulo, Brazil
| | - Paulo Costa Carvalho
- Structural and Computational Proteomics Laboratory, Carlos Chagas Institute, Oswaldo Cruz Foundation, Curitiba, Brazil
| | | | - Wuelton M. Monteiro
- Department of Research, Dr. Heitor Vieira Dourado Tropical Medicine Foundation, Manaus, Brazil
- School of Health Sciences, Amazonas State University, Manaus, Brazil
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Farkona S, Pastrello C, Konvalinka A. Proteomics: Its Promise and Pitfalls in Shaping Precision Medicine in Solid Organ Transplantation. Transplantation 2023; 107:2126-2142. [PMID: 36808112 DOI: 10.1097/tp.0000000000004539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/22/2023]
Abstract
Solid organ transplantation is an established treatment of choice for end-stage organ failure. However, all transplant patients are at risk of developing complications, including allograft rejection and death. Histological analysis of graft biopsy is still the gold standard for evaluation of allograft injury, but it is an invasive procedure and prone to sampling errors. The past decade has seen an increased number of efforts to develop minimally invasive procedures for monitoring allograft injury. Despite the recent progress, limitations such as the complexity of proteomics-based technology, the lack of standardization, and the heterogeneity of populations that have been included in different studies have hindered proteomic tools from reaching clinical transplantation. This review focuses on the role of proteomics-based platforms in biomarker discovery and validation in solid organ transplantation. We also emphasize the value of biomarkers that provide potential mechanistic insights into the pathophysiology of allograft injury, dysfunction, or rejection. Additionally, we forecast that the growth of publicly available data sets, combined with computational methods that effectively integrate them, will facilitate a generation of more informed hypotheses for potential subsequent evaluation in preclinical and clinical studies. Finally, we illustrate the value of combining data sets through the integration of 2 independent data sets that pinpointed hub proteins in antibody-mediated rejection.
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Affiliation(s)
- Sofia Farkona
- Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada
- Soham and Shaila Ajmera Family Transplant Centre, University Health Network, Toronto, ON, Canada
| | - Chiara Pastrello
- Osteoarthritis Research Program, Division of Orthopedic Surgery, Schroeder Arthritis Institute University Health Network, Toronto, ON, Canada
- Data Science Discovery Centre for Chronic Diseases, Krembil Research Institute, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
| | - Ana Konvalinka
- Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada
- Soham and Shaila Ajmera Family Transplant Centre, University Health Network, Toronto, ON, Canada
- Department of Medicine, Division of Nephrology, University Health Network, Toronto, ON, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Canadian Donation and Transplantation Research Program, Edmonton, AB, Canada
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5
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Zhang T, Duran V, Vanarsa K, Mohan C. Targeted urine proteomics in lupus nephritis - a meta-analysis. Expert Rev Proteomics 2021; 17:767-776. [PMID: 33423575 DOI: 10.1080/14789450.2020.1874356] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
BACKGROUND Proteomic approaches are central in biomarker discovery. While mass-spectrometry-based techniques are widely used, novel targeted proteomic platforms have enabled the high-throughput detection of low-abundance proteins in an affinity-based manner. Urine has gained growing attention as an ideal biofluid for monitoring renal disease including lupus nephritis (LN). METHODS Pubmed was screened for targeted proteomic studies of LN urine interrogating ≥1000 proteins. Data from the primary studies were combined and a meta-analysis was performed. Shared proteins elevated in active LN across studies were identified, and relevant pathways were elucidated using ingenuity pathway and gene ontology analysis. Urine proteomic data was cross-referenced against renal single-cell RNAseq data from LN kidneys. RESULTS Two high-throughput targeted proteomic platforms with capacity to interrogate ≥1000 proteins have been used to investigate LN urine. Twenty-three urine proteins were significantly elevated in both studies, including 10 chemokines, and proteins implicated in angiogenesis, and extracellular matrix turnover. Of these, Cathepsin S, CXCL10, FasL, ferritin, macrophage migration inhibitory factor (MIF), and resistin were also significantly elevated within LN kidneys. CONCLUSION Targeted urinary proteomics have uncovered multiple novel biomarkers for LN. Further validation in prospective cohorts and mechanistic studies are warranted to establish their clinical utility.
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Affiliation(s)
- Ting Zhang
- Department of Biomedical Engineering, University of Houston , Houston, Texas, USA
| | - Valeria Duran
- Department of Biomedical Engineering, University of Houston , Houston, Texas, USA
| | - Kamala Vanarsa
- Department of Biomedical Engineering, University of Houston , Houston, Texas, USA
| | - Chandra Mohan
- Department of Biomedical Engineering, University of Houston , Houston, Texas, USA
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6
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Feldreich T, Nowak C, Carlsson AC, Östgren CJ, Nyström FH, Sundström J, Carrero-Roig JJ, Leppert J, Hedberg P, Giedraitis V, Lind L, Cordeiro A, Ärnlöv J. The association between plasma proteomics and incident cardiovascular disease identifies MMP-12 as a promising cardiovascular risk marker in patients with chronic kidney disease. Atherosclerosis 2020; 307:11-15. [PMID: 32702535 DOI: 10.1016/j.atherosclerosis.2020.06.013] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 05/19/2020] [Accepted: 06/18/2020] [Indexed: 12/24/2022]
Abstract
BACKGROUND AND AIMS Previous proteomics efforts in patients with chronic kidney disease (CKD) have predominantly evaluated urinary protein levels. Therefore, our aim was to investigate the association between plasma levels of 80 cardiovascular disease-related proteins and the risk of major adverse cardiovascular events (MACE) in patients with CKD. METHODS Individuals with CKD stages 3-5 (eGFR below 60 ml min-1 [1.73 m]-2) from three community-based cohorts (PIVUS, ULSAM, SAVA), one diabetes cohort (CARDIPP) and one cohort with peripheral artery disease patients (PADVA) with information on 80 plasma protein biomarkers, assessed with a proximity extension assay, and follow-up data on incident MACE, were used as discovery sample. To validate findings and to asses generalizability to patients with CKD in clinical practice, an outpatient CKD-cohort (Malnutrition, Inflammation and Vascular Calcification (MIVC)) was used as replication sample. RESULTS In the discovery sample (total n = 1316), 249 individuals experienced MACE during 7.0 ± 2.9 years (range 0.005-12.9) of follow-up, and in the replication sample, 71 MACE events in 283 individuals over a mean ± SD change of 2.9 ± 1.2 years (range 0.1-4.0) were documented. Applying Bonferroni correction, 18 proteins were significantly associated with risk of MACE in the discovery cohort, adjusting for age and sex in order of significance, GDF-15, FGF-23, REN, FABP4, IL6, TNF-R1, AGRP, MMP-12, AM, KIM-1, TRAILR2, TNFR2, CTSL1, CSF1, PlGF, CA-125, CCL20 and PAR-1 (p < 0.000625 for all). Only matrix metalloproteinase 12 (MMP-12) was significantly associated with an increased risk of MACE in the replication sample (hazard ratio (HR) per SD increase, 1.36, 95% CI (1.07-1.75), p = 0.013). CONCLUSIONS Our proteomics analyses identified plasma MMP-12 as a promising cardiovascular risk marker in patients with CKD.
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Affiliation(s)
- Tobias Feldreich
- Education, Health and Social Studies, Dalarna University, Falun, Sweden.
| | - Christoph Nowak
- Division of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet, Alfred Nobels Allé 23, SE 14183, Huddinge, Sweden
| | - Axel C Carlsson
- Division of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet, Alfred Nobels Allé 23, SE 14183, Huddinge, Sweden
| | - Carl-Johan Östgren
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Fredrik H Nyström
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Johan Sundström
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Juan-Jesus Carrero-Roig
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jerzy Leppert
- Centre for Clinical Research, Uppsala University, Västerås, Sweden
| | - Pär Hedberg
- Centre for Clinical Research, Uppsala University, Västerås, Sweden
| | - Vilmantas Giedraitis
- Department of Public Health and Caring Sciences, Geriatrics, Uppsala University, Uppsala, Sweden
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Antonio Cordeiro
- Department of Hypertension and Nephrology, Dante Pazzanese Institute of Cardiology, São Paulo, Brazil
| | - Johan Ärnlöv
- Education, Health and Social Studies, Dalarna University, Falun, Sweden; Division of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institutet, Alfred Nobels Allé 23, SE 14183, Huddinge, Sweden
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Lebkuchen A, Freitas LS, Cardozo KHM, Drager LF. Advances and challenges in pursuing biomarkers for obstructive sleep apnea: Implications for the cardiovascular risk. Trends Cardiovasc Med 2020; 31:242-249. [PMID: 32413393 DOI: 10.1016/j.tcm.2020.04.003] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Revised: 03/31/2020] [Accepted: 04/06/2020] [Indexed: 12/14/2022]
Abstract
Obstructive sleep apnea (OSA) is a common clinical condition associated with increased cardiovascular morbidity and mortality. Recent evidence from clinical studies and animal models suggest that OSA can promote cardiovascular disease by inducing autonomic, hemodynamic, inflammatory and metabolic dysregulation. However, most of the evidence addressing hard endpoints in humans is derived from observational studies. Several challenges have been noted in the pursuit of a comprehensive knowledge base about the impact of OSA including: 1) the precise mechanisms by which OSA causes metabolic and cardiovascular consequences are not clear, which limits our current ability to address potential targets in OSA; 2) several patients with OSA, even with severe forms, present with no or mild daytime symptoms. Beyond the obvious challenges for obtaining good adherence for conventional OSA treatments, there is evidence that symptomatic vs. asymptomatic patients with OSA do not necessarily have the same metabolic and cardiovascular outcomes; and 3) the cardiovascular response to OSA treatment may vary even in those patients with good adherence. In this scenario, there is an obvious need to develop biomarkers in the OSA research area. This review focuses on describing the advances that have occurred so far in exploring potential OSA biomarkers with clear emphasis for the cardiovascular risk. Particular attention will be devoted to discuss molecular biomarkers including the potential role of microRNAs, proteomics and metabolomics. We also discuss the major challenges and perspectives in this growing research field.
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Affiliation(s)
| | - Lunara S Freitas
- Hypertension Unit, Heart Institute (InCor), University of Sao Paulo Medical School
| | | | - Luciano F Drager
- Hypertension Unit, Heart Institute (InCor), University of Sao Paulo Medical School; Hypertension Unit, Renal Division, University of Sao Paulo Medical School.
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8
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Di Meo A, Batruch I, Brown MD, Yang C, Finelli A, Jewett MA, Diamandis EP, Yousef GM. Searching for prognostic biomarkers for small renal masses in the urinary proteome. Int J Cancer 2019; 146:2315-2325. [PMID: 31465112 DOI: 10.1002/ijc.32650] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Accepted: 08/05/2019] [Indexed: 12/20/2022]
Abstract
Renal cell carcinoma (RCC) is frequently diagnosed incidentally as an early-stage small renal mass (SRM; pT1a, ≤4 cm). Overtreatment of patients with benign or clinically indolent SRMs is increasingly common and has resulted in a recent shift in treatment recommendations. There are currently no available biomarkers that can accurately predict clinical behavior. Therefore, we set out to identify early biomarkers of RCC progression. We employed a quantitative label-free liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) proteomics approach and targeted parallel-reaction monitoring to identify and validate early, noninvasive urinary biomarkers for RCC-SRMs. In total, we evaluated 115 urine samples, including 33 renal oncocytoma (≤4 cm) cases, 30 progressive and 26 nonprogressive clear cell RCC (ccRCC)-SRM cases, in addition to 26 healthy controls. We identified six proteins, which displayed significantly elevated expression in clear cell RCC-SRMs (ccRCC-SRMs) relative to healthy controls. Proteins C12ORF49 and EHD4 showed significantly elevated expression in ccRCC-SRMs compared to renal oncocytoma (≤4 cm). Additionally, proteins EPS8L2, CHMP2A, PDCD6IP, CNDP2 and CEACAM1 displayed significantly elevated expression in progressive relative to nonprogressive ccRCC-SRMs. A two-protein signature (EPS8L2 and CCT6A) showed significant discriminatory ability (areas under the curve: 0.81, 95% CI: 0.70-0.93) in distinguishing progressive from nonprogressive ccRCC-SRMs. Patients (Stage I-IV) with EPS8L2 and CCT6A mRNA alterations showed significantly shorter overall survival (p = 1.407 × 10-6 ) compared to patients with no alterations. Our in-depth proteomic analysis identified novel biomarkers for early-stage RCC-SRMs. Pretreatment characterization of urinary proteins may provide insight into early RCC progression and could potentially help assign patients to appropriate management strategies.
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Affiliation(s)
- Ashley Di Meo
- Department of Pediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, ON, Canada.,Department of Laboratory Medicine, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada.,Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.,Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, ON, Canada
| | - Ihor Batruch
- Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, ON, Canada
| | - Marshall D Brown
- Department of Biostatistics, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Chuance Yang
- Department of Urology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Antonio Finelli
- Department of Surgical Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Michael A Jewett
- Department of Surgical Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Eleftherios P Diamandis
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.,Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, ON, Canada
| | - George M Yousef
- Department of Pediatric Laboratory Medicine, The Hospital for Sick Children, Toronto, ON, Canada.,Department of Laboratory Medicine, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada.,Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
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Kalantari S, Nafar M. A comprehensive narrative review of diagnostic biomarkers in human primary membranous nephropathy. Biomark Med 2017; 11:781-797. [DOI: 10.2217/bmm-2017-0081] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Membranous nephropathy (MN) is relatively major cause of nephrotic syndrome in adults which is recognized as an organ-specific autoimmune disease. The etiology of most cases is idiopathic, whereas the secondary MN is caused by systemic autoimmune diseases, infections, medications and malignancies. The idiopathic disease is developed by the formation of sub-epithelial immune complex deposits most likely due to binding the circulating auto-antibodies to intrinsic antigen on podocytes. The major auto antibody is the anti-phospholipase A2 receptor (anti-PLA2R), however, it is not enough sensitive. Several attempts for diagnostic biomarker identification by modern analytical technologies have been devoted recently. This article reviews the biomarker candidates for primary type of MN that are detected by different approaches on human subjects.
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Affiliation(s)
- Shiva Kalantari
- Chronic Kidney Disease Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohsen Nafar
- Urology Nephrology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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10
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Urinary Lipidomics: evidence for multiple sources and sexual dimorphism in healthy individuals. THE PHARMACOGENOMICS JOURNAL 2017; 18:331-339. [PMID: 28607507 DOI: 10.1038/tpj.2017.24] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Revised: 04/21/2017] [Accepted: 05/10/2017] [Indexed: 12/11/2022]
Abstract
Urinary lipidomics may add new valuable biomarkers to the diagnostic armamentarium for early detection of metabolic and kidney diseases. Sources and composition of urinary lipids in healthy individuals, however, have not been investigated in detail. Shotgun lipidomics was used to quantify lipidomic profiles in native urine samples from 16 individuals (eight men, eight women) collected in five fractions over 24 h. All probands were comprehensively characterized by urinary and clinical indices. The mean total urinary lipid concentration per sample was 0.84 μM in men and 1.03 μM in women. We observed significant intra- and interindividual variations of lipid concentrations over time, but failed to detect a clear circadian pattern. Based on quantity and subclass composition it seems very unlikely that plasma serves as major source for the urinary lipidome. Considering lipid metabolites occurring in at least 20% of all samples 38 lipid species from 7 lipid classes were identified. Four phosphatidylserine and one phosphatidylethanolamine ether species (PE-O 36:5) were detectable in almost all urine samples. Sexual dimorphism has been found mainly for phosphatidylcholines and phosphatidylethanolamines. In men and in women urinary lipid species were highly correlated with urinary creatinine and albumin excretion, reflecting glomerular filtration and tubular transport processes. In women, however, lipid species deriving from urinary cells and cellular constituents of the lower genitourinary tract considerably contributed to the urinary lipidome. In conclusion, our study revealed the potential of urinary lipidomics but also the complexity of methodological challenges which have to be overcome for its implementation as a routine diagnostic tool for renal, urological and metabolic diseases.
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11
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Van JAD, Scholey JW, Konvalinka A. Insights into Diabetic Kidney Disease Using Urinary Proteomics and Bioinformatics. J Am Soc Nephrol 2017; 28:1050-1061. [PMID: 28159781 DOI: 10.1681/asn.2016091018] [Citation(s) in RCA: 82] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
A number of proteomic and peptidomic analyses of urine from diabetic subjects have been published in the quest for a biomarker that predicts progression of nephropathy. Less attention has been paid to the relationships between urinary proteins and the underlying biological processes revealed by the analyses. In this review, we focus on the biological processes identified by studying urinary proteins and protein-protein interactions at each stage of diabetic nephropathy to provide an overview of the events underlying progression of kidney disease reflected in the urine. In uncomplicated diabetes, proteomic/peptidomic analyses indicate that early activation of fibrotic pathways in the kidney occurs before the onset of microalbuminuria. In incipient nephropathy, when albumin excretion rates are abnormal, proteomic/peptidomic analyses suggest that changes in glomerular permselectivity and tubular reabsorption account, at least in part, for the proteins and peptides that appear in the urine. Finally, overt nephropathy is characterized by proteins involved in wound healing, ongoing fibrosis, and inflammation. These findings suggest that there is a spectrum of biological processes in the diabetic kidney and that assessing protein networks may be more informative than individual markers with respect to the stage of disease and the risk of progression.
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Affiliation(s)
- Julie A D Van
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; and
| | - James W Scholey
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; and.,Department of Medicine, Division of Nephrology, University Health Network, Toronto, Ontario, Canada
| | - Ana Konvalinka
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; and.,Department of Medicine, Division of Nephrology, University Health Network, Toronto, Ontario, Canada
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12
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Meo AD, Pasic MD, Yousef GM. Proteomics and peptidomics: moving toward precision medicine in urological malignancies. Oncotarget 2016; 7:52460-52474. [PMID: 27119500 PMCID: PMC5239567 DOI: 10.18632/oncotarget.8931] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2016] [Accepted: 04/16/2016] [Indexed: 12/31/2022] Open
Abstract
Urological malignancies are a major cause of morbidity and mortality worldwide. Advances in early detection, diagnosis, prognosis and prediction of treatment response can significantly improve patient care. Proteomic and peptidomic profiling studies are at the center of kidney, prostate and bladder cancer biomarker discovery and have shown great promise for improved clinical assessment. Mass spectrometry (MS) is the most widely employed method for proteomic and peptidomic analyses. A number of MS platforms have been developed to facilitate accurate identification of clinically relevant markers in various complex biological samples including tissue, urine and blood. Furthermore, protein profiling studies have been instrumental in the successful introduction of several diagnostic multimarker tests into the clinic. In this review, we will provide a brief overview of high-throughput technologies for protein and peptide based biomarker discovery. We will also examine the current state of kidney, prostate and bladder cancer biomarker research as well as review the journey toward successful clinical implementation.
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Affiliation(s)
- Ashley Di Meo
- Department of Laboratory Medicine, and The Keenan Research Centre for Biomedical Science at The Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Maria D. Pasic
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
- Department of Laboratory Medicine, St. Joseph's Health Centre, Toronto, Ontario, Canada
| | - George M. Yousef
- Department of Laboratory Medicine, and The Keenan Research Centre for Biomedical Science at The Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
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13
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Yerramilli M, Farace G, Quinn J, Yerramilli M. Kidney Disease and the Nexus of Chronic Kidney Disease and Acute Kidney Injury: The Role of Novel Biomarkers as Early and Accurate Diagnostics. Vet Clin North Am Small Anim Pract 2016; 46:961-93. [PMID: 27485279 DOI: 10.1016/j.cvsm.2016.06.011] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Chronic kidney disease (CKD) and acute kidney injury (AKI) are interconnected and the presence of one is a risk for the other. CKD is an important predictor of AKI after exposure to nephrotoxic drugs or major surgery, whereas persistent or repetitive injury could result in the progression of CKD. This brings new perspectives to the diagnosis and monitoring of kidney diseases highlighting the need for a panel of kidney-specific biomarkers that reflect functional as well as structural damage and recovery, predict potential risk and provide prognosis. This article discusses the kidney-specific biomarkers, symmetric dimethylarginine (SDMA), clusterin, cystatin B, and inosine.
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Affiliation(s)
- Murthy Yerramilli
- IDEXX Laboratories, Research & Development, 1-IDEXX Drive, Westbrook, ME 04092, USA.
| | - Giosi Farace
- IDEXX Laboratories, Research & Development, 1-IDEXX Drive, Westbrook, ME 04092, USA
| | - John Quinn
- IDEXX Laboratories, Research & Development, 1-IDEXX Drive, Westbrook, ME 04092, USA
| | - Maha Yerramilli
- IDEXX Laboratories, Research & Development, 1-IDEXX Drive, Westbrook, ME 04092, USA
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14
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Urinary Kininogen-1 and Retinol binding protein-4 respond to Acute Kidney Injury: predictors of patient prognosis? Sci Rep 2016; 6:19667. [PMID: 26792617 PMCID: PMC4726181 DOI: 10.1038/srep19667] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2015] [Accepted: 12/02/2015] [Indexed: 01/09/2023] Open
Abstract
Implementation of therapy for acute kidney injury (AKI) depends on successful prediction of individual patient prognosis. Clinical markers as serum creatinine (sCr) have limitations in sensitivity and early response. The aim of the study was to identify novel molecules in urine which show altered levels in response to AKI and investigate their value as predictors of recovery. Changes in the urinary proteome were here investigated in a cohort of 88 subjects (55 AKI patients and 33 healthy donors) grouped in discovery and validation independent cohorts. Patients’ urine was collected at three time points: within the first 48 h after diagnosis(T1), at 7 days of follow-up(T2) and at discharge of Nephrology(T3). Differential gel electrophoresis was performed and data were confirmed by Western blot (WB), liquid chromatography/mass spectrometry (LC-MS/MS) and enzyme-linked immunosorbent assay (ELISA). Retinol binding protein 4 (RBP4) and kininogen-1 (KNG1) were found significantly altered following AKI. RBP4 increased at T1, and progressively decreased towards normalization. Maintained decrease was observed for KNG1 from T1. Individual patient response along time revealed RBP4 responds to recovery earlier than sCr. In conclusion, KNG1 and RBP4 respond to AKI. By monitoring RBP4, patient’s recovery can be anticipated pointing to a role of RBP4 in prognosis evaluation.
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Gonzalez-Calero L, Martin-Lorenzo M, de la Cuesta F, Maroto AS, Baldan-Martin M, Ruiz-Hurtado G, Pulido-Olmo H, Segura J, Barderas MG, Ruilope LM, Vivanco F, Alvarez-Llamas G. Urinary alpha-1 antitrypsin and CD59 glycoprotein predict albuminuria development in hypertensive patients under chronic renin-angiotensin system suppression. Cardiovasc Diabetol 2016; 15:8. [PMID: 26772976 PMCID: PMC4715311 DOI: 10.1186/s12933-016-0331-7] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2015] [Accepted: 01/08/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Hypertension is a multi-factorial disease of increasing prevalence and a major risk factor for cardiovascular mortality even in the presence of adequate treatment. Progression of cardiovascular disease (CVD) occurs frequently during chronic renin-angiotensin-system (RAS) suppression, and albuminuria is a marker of CV risk. High prevalence of albuminuria in treated hypertensive patients has been demonstrated, but there are no available markers able to predict evolution. The aim of this study was the identification of novel indicators of albuminuria progression measurable in urine of diabetic and non-diabetic patients. METHODS 1143 hypertensive patients under chronic treatment were followed for a minimum period of 3 years. Among them, 105 diabetic and non-diabetic patients were selected and classified in three groups according to albuminuria development during follow-up: (a) patients with persistent normoalbuminuria; (b) patients developing de novo albuminuria; (c) patients with maintained albuminuria. Differential urine analysis was performed by 2D gel electrophoresis (2D-DIGE) and further confirmed by liquid chromatography-mass spectrometry. Non-parametric statistical tests were applied. RESULTS CD59 glycoprotein and alpha-1 antitrypsin (AAT) resulted already altered in patients developing albuminuria de novo, with a similar response in those with maintained albuminuria. A prospective study in a sub-group of normoalbuminuric patients who were clinically followed up for at least 1 year from urine sampling, revealed CD59 and AAT proteins significantly varied in the urine collected from normoalbuminurics who will negatively progress, serving as predictors of future albuminuria development. CONCLUSIONS CD59 and AAT proteins are significantly altered in hypertensive patients developing albuminuria. Interestingly, CD59 and AAT are able to predict, in normoalbuminuric individuals, who will develop albuminuria in the future, being potential predictors of vascular damage and CV risk. These findings contribute to early identify patients at risk of developing albuminuria even when this classical predictor is still in the normal range, constituting a novel strategy towards a prompt and more efficient therapeutic intervention with better outcome.
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Affiliation(s)
- Laura Gonzalez-Calero
- Departamento de Inmunologia, Laboratorio de Inmunoalergia y Proteomica, IIS-Fundacion Jimenez Diaz, UAM, REDinREN, Avda Reyes Catolicos 2, 28040, Madrid, Spain.
| | - Marta Martin-Lorenzo
- Departamento de Inmunologia, Laboratorio de Inmunoalergia y Proteomica, IIS-Fundacion Jimenez Diaz, UAM, REDinREN, Avda Reyes Catolicos 2, 28040, Madrid, Spain.
| | - Fernando de la Cuesta
- Laboratorio de Fisiopatologia Vascular, Hospital Nacional de Paraplejicos SESCAM, Toledo, Spain.
| | - Aroa S Maroto
- Departamento de Inmunologia, Laboratorio de Inmunoalergia y Proteomica, IIS-Fundacion Jimenez Diaz, UAM, REDinREN, Avda Reyes Catolicos 2, 28040, Madrid, Spain.
| | - Montserrat Baldan-Martin
- Laboratorio de Fisiopatologia Vascular, Hospital Nacional de Paraplejicos SESCAM, Toledo, Spain.
| | - Gema Ruiz-Hurtado
- Unidad de Hipertension, Instituto de Investigacion i + 12, Hospital Universitario 12 de Octubre, Avenida de Córdoba s/n, 28041, Madrid, Spain.
- Instituto Pluridisciplinar, Universidad Complutense de Madrid, Madrid, Spain.
| | - Helena Pulido-Olmo
- Unidad de Hipertension, Instituto de Investigacion i + 12, Hospital Universitario 12 de Octubre, Avenida de Córdoba s/n, 28041, Madrid, Spain.
| | - Julian Segura
- Unidad de Hipertension, Instituto de Investigacion i + 12, Hospital Universitario 12 de Octubre, Avenida de Córdoba s/n, 28041, Madrid, Spain.
| | - Maria G Barderas
- Laboratorio de Fisiopatologia Vascular, Hospital Nacional de Paraplejicos SESCAM, Toledo, Spain.
| | - Luis M Ruilope
- Unidad de Hipertension, Instituto de Investigacion i + 12, Hospital Universitario 12 de Octubre, Avenida de Córdoba s/n, 28041, Madrid, Spain.
| | - Fernando Vivanco
- Departamento de Inmunologia, Laboratorio de Inmunoalergia y Proteomica, IIS-Fundacion Jimenez Diaz, UAM, REDinREN, Avda Reyes Catolicos 2, 28040, Madrid, Spain.
- Departamento de Bioquimica y Biologia Molecular I, Universidad Complutense de Madrid, Madrid, Spain.
| | - Gloria Alvarez-Llamas
- Departamento de Inmunologia, Laboratorio de Inmunoalergia y Proteomica, IIS-Fundacion Jimenez Diaz, UAM, REDinREN, Avda Reyes Catolicos 2, 28040, Madrid, Spain.
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16
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Craciun FL, Bijol V, Ajay AK, Rao P, Kumar RK, Hutchinson J, Hofmann O, Joshi N, Luyendyk JP, Kusebauch U, Moss CL, Srivastava A, Himmelfarb J, Waikar SS, Moritz RL, Vaidya VS. RNA Sequencing Identifies Novel Translational Biomarkers of Kidney Fibrosis. J Am Soc Nephrol 2015; 27:1702-13. [PMID: 26449608 DOI: 10.1681/asn.2015020225] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2015] [Accepted: 08/17/2015] [Indexed: 01/08/2023] Open
Abstract
CKD is the gradual, asymptomatic loss of kidney function, but current tests only identify CKD when significant loss has already happened. Several potential biomarkers of CKD have been reported, but none have been approved for preclinical or clinical use. Using RNA sequencing in a mouse model of folic acid-induced nephropathy, we identified ten genes that track kidney fibrosis development, the common pathologic finding in patients with CKD. The gene expression of all ten candidates was confirmed to be significantly higher (approximately ten- to 150-fold) in three well established, mechanistically distinct mouse models of kidney fibrosis than in models of nonfibrotic AKI. Protein expression of these genes was also high in the folic acid model and in patients with biopsy-proven kidney fibrosis. mRNA expression of the ten genes increased with increasing severity of kidney fibrosis, decreased in response to therapeutic intervention, and increased only modestly (approximately two- to five-fold) with liver fibrosis in mice and humans, demonstrating specificity for kidney fibrosis. Using targeted selected reaction monitoring mass spectrometry, we detected three of the ten candidates in human urine: cadherin 11 (CDH11), macrophage mannose receptor C1 (MRC1), and phospholipid transfer protein (PLTP). Furthermore, urinary levels of each of these three proteins distinguished patients with CKD (n=53) from healthy individuals (n=53; P<0.05). In summary, we report the identification of urinary CDH11, MRC1, and PLTP as novel noninvasive biomarkers of CKD.
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Affiliation(s)
| | - Vanesa Bijol
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | | | | | | | | | | | - Nikita Joshi
- Department of Pathology and Diagnostic Investigation, Michigan State University, East Lansing, Michigan
| | - James P Luyendyk
- Department of Pathology and Diagnostic Investigation, Michigan State University, East Lansing, Michigan
| | | | | | | | - Jonathan Himmelfarb
- Kidney Research Institute, University of Washington, Seattle, Washington; and
| | | | | | - Vishal S Vaidya
- Renal Division, Department of Medicine and Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Harvard Program in Therapeutic Sciences, Harvard Medical School, Boston, Massachusetts
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17
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Xu H, Zheng X, Jia W, Yin S. Chromatography/Mass Spectrometry-Based Biomarkers in the Field of Obstructive Sleep Apnea. Medicine (Baltimore) 2015; 94:e1541. [PMID: 26448002 PMCID: PMC4616745 DOI: 10.1097/md.0000000000001541] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Biomarker assessment is based on quantifying several proteins and metabolites. Recent developments in proteomics and metabolomics have enabled detection of these small molecules in biological samples and exploration of the underlying disease mechanisms in obstructive sleep apnea (OSA). This systemic review was performed to identify biomarkers, which were only detected by chromatography and/or mass spectrometry (MS) and to discuss the role of these biomarkers in the field of OSA. We systemically reviewed relevant articles from PubMed and EMBASE referring to proteins and metabolite profiles of biological samples in patients with OSA. The analytical platforms in this review were focused on chromatography and/or MS. In total, 30 studies evaluating biomarkers in patients with OSA using chromatography and/or MS methods were included. Numerous proteins and metabolites, including lipid profiles, adrenergic/dopaminergic biomarkers and derivatives, amino acids, oxidative stress biomarkers, and other micromolecules were identified in patients with OSA. Applying chromatography and/or MS methods to detect biomarkers helps develop an understanding of OSA mechanisms. More proteomic and metabolomic studies are warranted to develop potential diagnostic and clinical monitoring methods for OSA.
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Affiliation(s)
- Huajun Xu
- From the Department of Otolaryngology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, China (HX, XZ, SY); and Center for Translational Medicine, and Shanghai Key Laboratory of Diabetes Mellitus, Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China (HX, XZ, WJ)
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18
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Hepburn S, Cairns DA, Jackson D, Craven RA, Riley B, Hutchinson M, Wood S, Smith MW, Thompson D, Banks RE. An analysis of the impact of pre-analytical factors on the urine proteome: Sample processing time, temperature, and proteolysis. Proteomics Clin Appl 2015; 9:507-21. [PMID: 25400092 PMCID: PMC4964914 DOI: 10.1002/prca.201400079] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2014] [Revised: 09/20/2014] [Accepted: 11/10/2014] [Indexed: 11/24/2022]
Abstract
Purpose We have examined the impact of sample processing time delay, temperature, and the addition of protease inhibitors (PIs) on the urinary proteome and peptidome, an important aspect of biomarker studies. Experimental design Ten urine samples from patients with varying pathologies were each divided and PIs added to one‐half, with aliquots of each then processed and frozen immediately, or after a delay of 6 h at 4°C or room temperature (20–22°C), effectively yielding 60 samples in total. Samples were then analyzed by 2D‐PAGE, SELDI‐TOF‐MS, and immunoassay. Results Interindividual variability in profiles was the dominant feature in all analyses. Minimal changes were observed by 2D‐PAGE as a result of delay in processing, temperature, or PIs and no changes were seen in IgG, albumin, β2‐microglobulin, or α1‐microglobulin measured by immunoassay. Analysis of peptides showed clustering of some samples by presence/absence of PIs but the extent was very patient‐dependent with most samples showing minimal effects. Conclusions and clinical relevance The extent of processing‐induced changes and the benefit of PI addition are patient‐ and sample‐dependent. A consistent processing methodology is essential within a study to avoid any confounding of the results.
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Affiliation(s)
- Sophie Hepburn
- Clinical and Biomedical Proteomics Group, Leeds Institute of Cancer and Pathology, St James's University Hospital, Leeds, UK.,Department of Blood Sciences, The General Infirmary, Leeds, UK
| | - David A Cairns
- Clinical and Biomedical Proteomics Group, Leeds Institute of Cancer and Pathology, St James's University Hospital, Leeds, UK
| | | | - Rachel A Craven
- Clinical and Biomedical Proteomics Group, Leeds Institute of Cancer and Pathology, St James's University Hospital, Leeds, UK
| | - Beverley Riley
- Clinical and Biomedical Proteomics Group, Leeds Institute of Cancer and Pathology, St James's University Hospital, Leeds, UK
| | - Michelle Hutchinson
- Clinical and Biomedical Proteomics Group, Leeds Institute of Cancer and Pathology, St James's University Hospital, Leeds, UK
| | - Steven Wood
- Clinical and Biomedical Proteomics Group, Leeds Institute of Cancer and Pathology, St James's University Hospital, Leeds, UK
| | - Matthew Welberry Smith
- Clinical and Biomedical Proteomics Group, Leeds Institute of Cancer and Pathology, St James's University Hospital, Leeds, UK.,Department of Renal Medicine, St James's University Hospital, Leeds, UK
| | - Douglas Thompson
- Clinical and Biomedical Proteomics Group, Leeds Institute of Cancer and Pathology, St James's University Hospital, Leeds, UK.,Department of Blood Sciences, The General Infirmary, Leeds, UK
| | - Rosamonde E Banks
- Clinical and Biomedical Proteomics Group, Leeds Institute of Cancer and Pathology, St James's University Hospital, Leeds, UK
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Drabovich AP, Martínez-Morillo E, Diamandis EP. Toward an integrated pipeline for protein biomarker development. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2014; 1854:677-86. [PMID: 25218201 DOI: 10.1016/j.bbapap.2014.09.006] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2014] [Revised: 08/08/2014] [Accepted: 09/04/2014] [Indexed: 01/06/2023]
Abstract
Protein biomarker development is a multidisciplinary task involving basic, translational and clinical research. Integration of multidisciplinary efforts in a single pipeline is challenging, but crucial to facilitate rational discovery of protein biomarkers and alleviate existing disappointments in the field. In this review, we discuss in detail individual phases of biomarker development pipeline, such as biomarker candidate identification, verification and validation. We focus on mass spectrometry as a principal technique for protein identification and quantification, and discuss complementary -omics approaches for selection of biomarker candidates. Proteomic samples, protein-based clinical laboratory tests and limitations of biomarker development are reviewed in detail, and critical assessment of all phases of biomarker development pipeline is provided. This article is part of a Special Issue entitled: Medical Proteomics.
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Affiliation(s)
- Andrei P Drabovich
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.
| | | | - Eleftherios P Diamandis
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada; Department of Clinical Biochemistry, University Health Network, Toronto, ON, Canada; Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, ON, Canada
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20
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Bauça JM, Martínez-Morillo E, Diamandis EP. Peptidomics of Urine and Other Biofluids for Cancer Diagnostics. Clin Chem 2014; 60:1052-61. [DOI: 10.1373/clinchem.2013.211714] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Abstract
BACKGROUND
Cancer is a leading cause of death worldwide. The low diagnostic sensitivity and specificity of most current cancer biomarkers make early cancer diagnosis a challenging task. The comprehensive study of peptides and small proteins in a living system, known as “peptidomics,” represents an alternative technological approach to the discovery of potential biomarkers for the assessment of a wide variety of pathologies. This review examines the current status of peptidomics for several body fluids, with a focus on urine, for cancer diagnostics applications.
CONTENT
Several studies have used high-throughput technologies to characterize the peptide content of different body fluids. Because of its noninvasive collection and high stability, urine is a valuable source of candidate cancer biomarkers. A wide variety of preanalytical issues concerning patient selection and sample handling need to be considered, because not doing so can affect the quality of the results by introducing bias and artifacts. Optimization of both the analytical strategies and the processing of bioinformatics data is also essential to minimize the false-discovery rate.
SUMMARY
Peptidomics-based studies of urine and other body fluids have yielded a number of biomolecules and peptide panels with potential for diagnosing different types of cancer, especially of the ovary, prostate, and bladder. Large-scale studies are needed to validate these molecules as cancer biomarkers.
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Affiliation(s)
- Josep Miquel Bauça
- Servei d'Anàlisis Clíniques, Hospital Universitari Son Espases, Palma de Mallorca, Spain
| | - Eduardo Martínez-Morillo
- Samuel Lunenfeld Research Institute, Joseph and Wolf Lebovic Health Centre, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Eleftherios P Diamandis
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
- Department of Clinical Biochemistry, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
- Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, Ontario, Canada
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Konvalinka A. myo-Inositol Oxygenase: A Novel Kidney-Specific Biomarker of Acute Kidney Injury? Clin Chem 2014; 60:708-10. [DOI: 10.1373/clinchem.2014.221960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Ana Konvalinka
- Department of Medicine, Division of Nephrology, University Health Network, University of Toronto, Toronto, ON, Canada
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22
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Urine proteomics for acute kidney injury prognosis: another player and the long road ahead. Kidney Int 2014; 85:735-8. [DOI: 10.1038/ki.2013.421] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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23
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The novel diagnostic biomarkers for focal segmental glomerulosclerosis. Int J Nephrol 2014; 2014:574261. [PMID: 24790760 PMCID: PMC3984796 DOI: 10.1155/2014/574261] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2013] [Revised: 02/21/2014] [Accepted: 02/24/2014] [Indexed: 11/17/2022] Open
Abstract
Background. Focal segmental glomerulosclerosis (FSGS) is a glomerular injury with various pathogenic mechanisms. Urine proteome panel might help in noninvasive diagnosis and better understanding of pathogenesis of FSGS. Method. We have analyzed the urine sample of 11 biopsy-proven FSGS subjects, 8 healthy controls, and 6 patients with biopsy-proven IgA nephropathy (disease controls) by means of liquid chromatography tandem mass spectrometry (nLC-MS/MS). Multivariate analysis of quantified proteins was performed by principal component analysis (PCA) and partial least squares (PLS). Results. Of the total number of 389 proteins, after multivariate analysis and additional filter criterion and comparing FSGS versus IgA nephropathy and healthy subjects, 77 proteins were considered as putative biomarkers of FSGS. CD59, CD44, IBP7, Robo4, and DPEP1 were the most significant differentially expressed proteins. These proteins are involved in pathogenic pathways: complement pathway, sclerosis, cell proliferation, actin cytoskeleton remodeling, and activity of TRPC6.There was complete absence of DPEP1 in urine proteome of FSGS subjects compared with healthy and disease controls. DPEP1 acts via leukotrienes on TRPC6 and results in increased podocyte motility and proteinuria. Conclusion. The results suggest a panel of candidate biomarkers for noninvasive diagnosis of FSGS, while complete absence of DPEP1 might represent a novel marker of FSGS.
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24
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Garbis SD, Townsend PA. Proteomics of human prostate cancer biospecimens: the global, systems-wide perspective for Protein markers with potential clinical utility. Expert Rev Proteomics 2014; 10:337-54. [DOI: 10.1586/14789450.2013.827408] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
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Beretov J, Wasinger VC, Graham PH, Millar EK, Kearsley JH, Li Y. Proteomics for breast cancer urine biomarkers. Adv Clin Chem 2014; 63:123-67. [PMID: 24783353 DOI: 10.1016/b978-0-12-800094-6.00004-2] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Although the survival of breast cancer (BC) patients has increased over the last two decades due to improved screening programs and postoperative adjuvant systemic therapies, many patients die from metastatic relapse. Current biomarkers used in the clinic are not useful for the early detection of BC, or monitoring its progression, and have limited value in predicting response to treatment. The development of proteomic techniques has sparked new searches for novel protein markers for many diseases including BC. Proteomic techniques allow for a high-throughput analysis of samples with the visualization and quantification of thousands of potential protein and peptide markers. Human urine is one of the most interesting and useful biofluids for routine testing and provides an excellent resource for the discovery of novel biomarkers, with the advantage over tissue biopsy samples due to the ease and less invasive nature of collection. In this review, we summarize the results from studies where urine was used as a source for BC biomarker research and discuss urine sample preparation, its advantage, challenges, and limitation. We focus on the gel-based proteomic approaches as well as the recent development of quantitative techniques in BC urine biomarker detection. Finally, the future use of modern proteomic techniques in BC biomarker identification will be discussed.
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26
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Petriz BA, Franco OL. Application of Cutting-Edge Proteomics Technologies for Elucidating Host–Bacteria Interactions. ADVANCES IN PROTEIN CHEMISTRY AND STRUCTURAL BIOLOGY 2014; 95:1-24. [DOI: 10.1016/b978-0-12-800453-1.00001-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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27
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A compendium of urinary biomarkers indicative of glomerular podocytopathy. PATHOLOGY RESEARCH INTERNATIONAL 2013; 2013:782395. [PMID: 24327929 PMCID: PMC3845336 DOI: 10.1155/2013/782395] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/22/2013] [Accepted: 09/10/2013] [Indexed: 12/18/2022]
Abstract
It is well known that glomerular podocyte injury and loss are present in numerous nephropathies and that the pathophysiologic consecution of disease hinges upon the fate of the podocyte. While multiple factors play a hand in glomerulopathy progression, basic logic lends that if one monitors the podocyte's status, that may reflect the status of disease. Recent investigations have focused on what one can elucidate from the noninvasive collection of urine, and have proven that certain, specific biomarkers of podocytes can be readily identified via varying techniques. This paper has brought together all described urinary biomarkers of podocyte injury and is made to provide a concise summary of their utility and testing in laboratory and clinical theatres. While promising in the potential that they hold as tools for clinicians and investigators, the described biomarkers require further comprehensive vetting in the form of larger clinical trials and studies that would give their value true weight. These urinary biomarkers are put forth as novel indicators of glomerular disease presence, disease progression, and therapeutic efficacy that in some cases may be more advantageous than the established parameters/measures currently used in practice.
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Thurman JM, Serkova NJ. Nanosized contrast agents to noninvasively detect kidney inflammation by magnetic resonance imaging. Adv Chronic Kidney Dis 2013; 20:488-99. [PMID: 24206601 DOI: 10.1053/j.ackd.2013.06.001] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2013] [Revised: 06/02/2013] [Accepted: 06/03/2013] [Indexed: 12/15/2022]
Abstract
Several molecular imaging methods have been developed that use nanosized contrast agents to detect markers of inflammation within tissues. Kidney inflammation contributes to disease progression in a wide range of autoimmune and inflammatory diseases, and a biopsy is currently the only method of definitively diagnosing active kidney inflammation. However, the development of new molecular imaging methods that use contrast agents capable of detecting particular immune cells or protein biomarkers will allow clinicians to evaluate inflammation throughout the kidneys and to assess a patient's response to immunomodulatory drugs. These imaging tools will improve our ability to validate new therapies and to optimize the treatment of individual patients with existing therapies. This review describes the clinical need for new methods of monitoring kidney inflammation and recent advances in the development of nanosized contrast agents for the detection of inflammatory markers of kidney disease.
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Applicability of 2D gel electrophoresis and liquid chromatography in proteomic analysis of urine using mass spectrometry MALDI-TOF. Pol J Vet Sci 2013; 16:587-92. [DOI: 10.2478/pjvs-2013-0083] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
AbstractProteomics including the studies of the structure, function and dependences between proteins is more and more extensively applied in human medicine and veterinary medicine. The analysis of protein profiles of tissues and body fluid from healthy and ill individuals allows to identify diagnostic, prognostic and predictive markers in various pathological states in people and animals. This paper presents preparation of urine samples for analysis in the mass spectrometer MALDI-TOF (Ultraflextreme, Bruker, Bremen, Germany) by means of two methods: liquid chromatography based on the system Nano-LC (PROTEINER FC II, Bruker Daltonics, Bremen Germany). and two-direction electrophoresis 2DE (GE Healthcare, United Kingdom). Both methods enable separation of the mixture under consideration into individual fractions of high purity indispensable for obtaining readable mass spectra. The purpose of this paper is to determine applicability of these methods in analysis of protein composition of urine samples.
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Bohra R, Klepacki J, Klawitter J, Klawitter J, Thurman J, Christians U. Proteomics and metabolomics in renal transplantation-quo vadis? Transpl Int 2013; 26:225-41. [PMID: 23350848 PMCID: PMC4006577 DOI: 10.1111/tri.12003] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2012] [Revised: 05/07/2012] [Accepted: 10/07/2012] [Indexed: 12/13/2022]
Abstract
The improvement of long-term transplant organ and patient survival remains a critical challenge following kidney transplantation. Proteomics and biochemical profiling (metabolomics) may allow for the detection of early changes in cell signal transduction regulation and biochemistry with high sensitivity and specificity. Hence, these analytical strategies hold the promise to detect and monitor disease processes and drug effects before histopathological and pathophysiological changes occur. In addition, they will identify enriched populations and enable individualized drug therapy. However, proteomics and metabolomics have not yet lived up to such high expectations. Renal transplant patients are highly complex, making it difficult to establish cause-effect relationships between surrogate markers and disease processes. Appropriate study design, adequate sample handling, storage and processing, quality and reproducibility of bioanalytical multi-analyte assays, data analysis and interpretation, mechanistic verification, and clinical qualification (=establishment of sensitivity and specificity in adequately powered prospective clinical trials) are important factors for the success of molecular marker discovery and development in renal transplantation. However, a newly developed and appropriately qualified molecular marker can only be successful if it is realistic that it can be implemented in a clinical setting. The development of combinatorial markers with supporting software tools is an attractive goal.
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Affiliation(s)
- Rahul Bohra
- iC42 Clinical Research & Development, Department of Anesthesiology, University of Colorado Denver, Aurora, Colorado, USA
| | - Jacek Klepacki
- iC42 Clinical Research & Development, Department of Anesthesiology, University of Colorado Denver, Aurora, Colorado, USA
| | - Jelena Klawitter
- iC42 Clinical Research & Development, Department of Anesthesiology, University of Colorado Denver, Aurora, Colorado, USA
- Renal Medicine, University of Colorado Denver, Aurora, USA
| | - Jost Klawitter
- iC42 Clinical Research & Development, Department of Anesthesiology, University of Colorado Denver, Aurora, Colorado, USA
| | - Joshua Thurman
- Renal Medicine, University of Colorado Denver, Aurora, USA
| | - Uwe Christians
- iC42 Clinical Research & Development, Department of Anesthesiology, University of Colorado Denver, Aurora, Colorado, USA
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31
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Current world literature. Curr Opin Organ Transplant 2013; 18:111-30. [PMID: 23299306 DOI: 10.1097/mot.0b013e32835daf68] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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32
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The Urine Proteome as a Radiation Biodosimeter. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2013; 990:87-100. [DOI: 10.1007/978-94-007-5896-4_5] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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33
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Pesce F, Pathan S, Schena FP. From -omics to personalized medicine in nephrology: integration is the key. Nephrol Dial Transplant 2012; 28:24-8. [PMID: 23229923 DOI: 10.1093/ndt/gfs483] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Large-scale gene, protein and metabolite measurements ('omics') have driven the resolution of biology to an unprecedented high definition. Passing from reductionism to a system-oriented perspective, medical research will take advantage of these high-throughput technologies unveiling their full potential. Integration is the key to decoding the underlying principles that govern the complex functions of living systems. Extensive computational support and statistical modelling is needed to manage and connect the -omic data sets but this, in turn, is speeding up the hypothesis generation in biology enormously and yielding a deep insight into the pathophysiology. This systems biology approach will transform diagnostic and therapeutic strategies with the discovery of novel biomarkers that will enable a predictive and preventive medicine leading to personalized medicine.
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Affiliation(s)
- Francesco Pesce
- Department of Genomics of Common Disease, School of Public Health, Imperial College London, London, UK.
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Soggiu A, Piras C, Bonizzi L, Hussein HA, Pisanu S, Roncada P. A discovery-phase urine proteomics investigation in type 1 diabetes. Acta Diabetol 2012; 49:453-64. [PMID: 22678621 DOI: 10.1007/s00592-012-0407-0] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2012] [Accepted: 05/22/2012] [Indexed: 01/15/2023]
Abstract
Diabetes is a chronic metabolic disease which can lead to serious health problems particularly in and to the development of cardiovascular and renal complications. The aim of this study is to possibly identify distinctive molecular features in urine samples which might correlate to the progression and complications of type 1 diabetes. Diabetic patients with normo- and micro-albuminuria have been analyzed and compared to a group of control subjects. Urine proteins of control and type 1 diabetes subjects were investigated in their proteome profiles, using high-resolution two-dimensional gel electrophoresis separation and protein identifications by MALDI-TOF-MS and LC-MS/MS analysis. Proteomics analysis highlighted differential expression of several proteins between control and type 1 diabetes subjects. In particular, five proteins were found to be down-regulated and four proteins up-regulated. Lower protein representations in diabetic subjects were associated with Tamm-Horsfall urinary glycoprotein, apolipoprotein A-I, apolipoprotein E, α2-thiol proteinase inhibitor, and human complement regulatory protein CD59, while higher protein representations were found for α-1-microglobulin, zinc-α2 glycoprotein, α-1B glycoprotein, and retinol-binding protein 4. These differences were maintained comparing control subjects with type 1 diabetes normo-albuminuric and micro-albuminuric subjects. Furthermore, these proteins are correlated to glycosylated hemoglobin and microalbuminuria, confirming their role in diabetic pathology. This study gives new insights on potential molecular mechanisms associated with the complications of type 1 diabetic disease providing evidences of urine proteins potentially exploitable as putative prognostic biomarkers.
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Affiliation(s)
- A Soggiu
- Dipartimento di Patologia Animale, Igiene e Sanità Pubblica Veterinaria, Facoltà di Medicina Veterinaria, Università Degli Studi di Milano, Milan, Italy
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35
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Current world literature. Curr Opin Organ Transplant 2012; 17:688-99. [PMID: 23147911 DOI: 10.1097/mot.0b013e32835af316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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36
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Murray GI. Has the proteome of formalin-fixed wax-embedded tissue been unlocked? Nephrol Dial Transplant 2012; 27:3395-8. [PMID: 22859788 DOI: 10.1093/ndt/gfs342] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
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37
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Komorowsky CV, Brosius FC, Pennathur S, Kretzler M. Perspectives on systems biology applications in diabetic kidney disease. J Cardiovasc Transl Res 2012; 5:491-508. [PMID: 22733404 PMCID: PMC3422674 DOI: 10.1007/s12265-012-9382-7] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2012] [Accepted: 05/22/2012] [Indexed: 12/18/2022]
Abstract
Diabetic kidney disease (DKD) is a microvascular complication of type 1 and 2 diabetes with a devastating impact on individuals with the disease, their families, and society as a whole. DKD is the single most frequent cause of incident chronic kidney disease cases and accounts for over 40% of the population with end-stage renal disease. Contributing factors for the high prevalence are the increase in obesity and subsequent diabetes combined with an improved long-term survival with diabetes. Environment and genetic variations contribute to DKD susceptibility and progressive loss of kidney function. How the molecular mechanisms of genetic and environmental exposures interact during DKD initiation and progression is the focus of ongoing research efforts. The development of standardized, unbiased high-throughput profiling technologies of human DKD samples opens new avenues in capturing the multiple layers of DKD pathobiology. These techniques routinely interrogate analytes on a genome-wide scale generating comprehensive DKD-associated fingerprints. Linking the molecular fingerprints to deep clinical phenotypes may ultimately elucidate the intricate molecular interplay in a disease stage and subtype-specific manner. This insight will form the basis for accurate prognosis and facilitate targeted therapeutic interventions. In this review, we present ongoing efforts from large-scale data integration translating "-omics" research efforts into improved and individualized health care in DKD.
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Affiliation(s)
- Claudiu V. Komorowsky
- Department of Internal Medicine, Division of Nephrology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Frank C. Brosius
- Department of Internal Medicine, Division of Nephrology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Subramaniam Pennathur
- Department of Internal Medicine, Division of Nephrology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Matthias Kretzler
- Department of Internal Medicine, Division of Nephrology, University of Michigan Medical School, Ann Arbor, MI, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA
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