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Gong M, Zhang Y, Chen N, Ma LL, Feng XM, Yan YX. Proteomics in Cardiovascular disease. Clin Chim Acta 2024; 557:117877. [PMID: 38537675 DOI: 10.1016/j.cca.2024.117877] [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: 02/20/2024] [Revised: 03/14/2024] [Accepted: 03/14/2024] [Indexed: 04/13/2024]
Abstract
This study focuses on recent advances in proteomics and provides an up-to-date use of this technology in identifying cardiovascular disease (CVD) biomarkers. A total of eight electronic databases (PubMed, EMBASE, Web of Science, Cochrane Library, Wanfang, Vip, Sinomed, and CNKI) were searched and five were used for integrative analysis of sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic ratio (DOR) and 1 secondary indicator area under the curve (AUC). This systematic review and integrative analysis summarized potential biomarkers previously identified by proteomics. The integrative analysis suggested that proteomics technology had high clinical value in CVD diagnosis. The findings provided new possible directions for the prevention or diagnosis of CVD.
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Affiliation(s)
- Miao Gong
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China; Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yu Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China; Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Ning Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China; Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Lin-Lin Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China; Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Xu-Man Feng
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China; Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yu-Xiang Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China; Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
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2
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Sharma P, Roy A, Dhamija RK, Bhushan S, Baswal K, Kulandaisamy R, Yadav S, Kumar S, Inampudi KK. A comprehensive proteomic profiling of urinary exosomes and the identification of early non-invasive biomarker in patients with coronary artery disease. J Proteomics 2024; 293:105059. [PMID: 38151158 DOI: 10.1016/j.jprot.2023.105059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 12/04/2023] [Accepted: 12/14/2023] [Indexed: 12/29/2023]
Abstract
Urinary small extracellular vesicles or exosomes (uEVs) source could be an emerging trove of biomarkers in coronary artery disease (CAD). It is a chronic inflammatory disease having a long asymptomatic phase of fatty-fibrous development in arteries leading to angina, myocardial infarction, and death. Our study was aimed at identifying differential protein expression profiling of uEVs in CAD. We collected urine samples of CAD patients (n = 41) age 18-65 years and gender matched healthy controls (n = 41). We isolated uEVs using differential ultracentrifugation. Further, uEV samples were characterized by western blotting exosome markers (Flotillin, TSG, CD63, and CD9), nano tracking analysis, and transmission and scanning electron microscopy. A total of 508 proteins were identified by iTRAQ-based mass spectrometry. We observed protein expression levels of AZGP1, SEMG1/2, ORM1, IGL, SERPINA5, HSPG2, prosaposin, gelsolin, and CD59 were upregulated, and UMOD, KNG1, AMBP, prothrombin, and TF were downregulated. Protein-protein interactions, gene ontology and pathway analysis were performed to functionally annotate identified uEVs proteins. A novel uEVs differential protein signature is shown. On validating UMOD protein by ELISA in two clinically different CAD, stable-CAD patients had lower levels than healthy controls whereas recent myocardial infarction patients had lowest. Our findings suggest UMOD importance as early diagnostic biomarker. SIGNIFICANCE: Coronary artery disease is a chronic inflammatory disease caused by gradual deposition of cholesterol and fat along with other proteins to develop plaque inside arteries. This further leads to blockage of artery, heart attack and death. There are no identifiable early biomarkers to diagnose this. For the first time, we have identified the differentially expressed proteins isolated from non-invasive uEV of CAD patients compared to healthy controls by using MS Orbitrap and iTRAQ labelling of peptides. We have identified decreased levels of UMOD protein in CAD. These findings have been confirmed by ELISA. Furthermore, the levels of UMOD were observed as more highly decreased in recent myocardial infarction CAD patients, indicating the importance of this protein as an early diagnostic biomarker. Conclusively, our study represents a non-invasive urinary EVs trove of differentially expressed proteins in CAD. This will form a groundwork for understanding the pathophysiology of CAD and will help in future translational research utilizing uEVs.
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Affiliation(s)
- Pratibha Sharma
- Human Behaviour Department, Institute of Human Behaviour and Allied Sciences, Dilshad Garden, New Delhi, India; Department of Biophysics, All India Institute of Medical Sciences, New Delhi, India.
| | - Ambuj Roy
- Department of Cardiology, All India Institute of Medical Sciences, New Delhi, India
| | - Rajinder K Dhamija
- Human Behaviour Department, Institute of Human Behaviour and Allied Sciences, Dilshad Garden, New Delhi, India
| | - Sudha Bhushan
- Department of Cardiology, All India Institute of Medical Sciences, New Delhi, India
| | - Kamal Baswal
- Department of Biophysics, All India Institute of Medical Sciences, New Delhi, India
| | | | - Satyavir Yadav
- Department of Cardiology, All India Institute of Medical Sciences, New Delhi, India
| | - Saroj Kumar
- Department of Biophysics, All India Institute of Medical Sciences, New Delhi, India; Department of Health Education and Technology, Luleå University of Technology, Sweden
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Catanese L, Siwy J, Wendt R, Amann K, Beige J, Hendry B, Mischak H, Mullen W, Paterson I, Schiffer M, Wolf M, Rupprecht H. Differentiating primary and secondary FSGS using non-invasive urine biomarkers. Clin Kidney J 2024; 17:sfad296. [PMID: 38313685 PMCID: PMC10833144 DOI: 10.1093/ckj/sfad296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Indexed: 02/06/2024] Open
Abstract
Background Focal segmental glomerulosclerosis (FSGS) is divided into genetic, primary (p), uncertain cause, and secondary (s) forms. The subclasses differ in management and prognosis with differentiation often being challenging. We aimed to identify specific urine proteins/peptides discriminating between clinical and biopsy-proven pFSGS and sFSGS. Methods Sixty-three urine samples were collected in two different centers (19 pFSGS and 44 sFSGS) prior to biopsy. Samples were analysed using capillary electrophoresis-coupled mass spectrometry. For biomarker definition, datasets of age-/sex-matched normal controls (NC, n = 98) and patients with other chronic kidney diseases (CKDs, n = 100) were extracted from the urinary proteome database. Independent specificity assessment was performed in additional data of NC (n = 110) and CKD (n = 170). Results Proteomics data from patients with pFSGS were first compared to NC (n = 98). This resulted in 1179 biomarker (P < 0.05) candidates. Then, the pFSGS group was compared to sFSGS, and in a third step, pFSGS data were compared to data from different CKD etiologies (n = 100). Finally, 93 biomarkers were identified and combined in a classifier, pFSGS93. Total cross-validation of this classifier resulted in an area under the receiving operating curve of 0.95. The specificity investigated in an independent set of NC and CKD of other etiologies was 99.1% for NC and 94.7% for CKD, respectively. The defined biomarkers are largely fragments of different collagens (49%). Conclusion A urine peptide-based classifier that selectively detects pFSGS could be developed. Specificity of 95%-99% could be assessed in independent samples. Sensitivity must be confirmed in independent cohorts before routine clinical application.
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Affiliation(s)
- Lorenzo Catanese
- Department of Nephrology, Angiology and Rheumatology, Klinikum Bayreuth GmbH, Bayreuth, Germany
- Kuratorium for Dialysis and Transplantation (KfH) Bayreuth, Bayreuth, Germany
- Medizincampus Oberfranken, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
| | | | - Ralph Wendt
- Division of Nephrology, St. Georg Hospital Leipzig, Leipzig, Germany
| | - Kerstin Amann
- Department of Nephropathology, Institute of Pathology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Joachim Beige
- Kuratorium for Dialysis and Transplantation (KfH) Renal Unit, Leipzig, Germany
- Department of Internal Medicine II, Martin-Luther-University Halle/Wittenberg, Halle/Saale, Germany
| | | | | | - William Mullen
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | | | - Mario Schiffer
- Department of Nephrology and Hypertension, University Hospital Erlangen, Friedrich-Alexander University (FAU) Erlangen-Nürnberg, Erlangen, Germany
- Research Center on Rare Kidney Diseases (RECORD), University Hospital Erlangen, Erlangen, Germany
| | | | - Harald Rupprecht
- Department of Nephrology, Angiology and Rheumatology, Klinikum Bayreuth GmbH, Bayreuth, Germany
- Kuratorium for Dialysis and Transplantation (KfH) Bayreuth, Bayreuth, Germany
- Medizincampus Oberfranken, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
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Wahid M, Saqib F, Abbas G, Shah S, Alshammari A, Albekairi TH, Ali A, Khurm M, Mubarak MS. Cardioprotective and hypotensive mechanistic insights of hydroethanolic extract of Cucumis melo L. kernels in isoprenaline-induced cardiotoxicity based on metabolomics and in silico electrophysiological models. Front Pharmacol 2024; 14:1277594. [PMID: 38348351 PMCID: PMC10859416 DOI: 10.3389/fphar.2023.1277594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 12/26/2023] [Indexed: 02/15/2024] Open
Abstract
Background: Cardiovascular diseases (CVD) continue to threaten health worldwide, and account for a significant portion of deaths and illnesses. In both developing and industrialized nations, they challenge their health systems. There are several traditional uses of Cucurbitaceae seeds in Pakistan, India, Iran, and China, including treating cardiovascular, neurological, and urogenital diseases. Methods: In the present work, integrated techniques of metabolomics profiling and computational cardiomyocyte stimulation were used to investigate possible mechanisms of C. melo in isoprenaline (ISO)-induced myocardial infarction. In vitro, vasoconstrictions, paired atria, and in vivo invasive blood pressure measurement models were performed to explore the mechanism of action of C. melo hydroethanolic seed extract (Cm-EtOH). Results: Results showed that Cm-EtOH demonstrates NO-based endothelium-derived relaxing factor (EDRF) vasorelaxant response, negative chronotropic and inotropic response in the atrium, and hypotensive effects in normotensive rats. Results also revealed that Cm-EtOH decreases cardiomyocyte hypertrophy and reverts the altered gene expressions, biochemical, and metabolites in ISO-induced myocardial infarction (MI) rats. The extract additionally reversed ISO-induced MI-induced oxidative stress, energy consumption, and amino acid metabolism. Moreover, C. melo seeds increased EDRF function, energy production, and antioxidant capacity to treat myocardial and vascular disorders. In computational cardiomyocyte simulation, gallic acid reduced action potential duration, upstroke velocity (dV/dtmax), and effective refractory period. Conclusion: This study highlights the therapeutic potential of C. melo seeds to treat cardiovascular diseases and provides mechanistic insight into its antihypertensive and cardioprotective activities.
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Affiliation(s)
- Muqeet Wahid
- Department of Pharmacology, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, Pakistan
| | - Fatima Saqib
- Department of Pharmacology, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, Pakistan
| | - Ghulam Abbas
- Department of Pharmaceutics, Faculty of Pharmaceutical Sciences, Government College University Faisalabad, Faisalabad, Pakistan
| | - Shahid Shah
- Department of Pharmacy Practice, Faculty of Pharmaceutical Sciences, Government College University Faisalabad, Faisalabad, Pakistan
| | - Abdulrahman Alshammari
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Thamer H. Albekairi
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Anam Ali
- Department of Pharmacology, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, Pakistan
| | - Muhammad Khurm
- School of Pharmacy, Xi’an Jiaotong University, Xi’an, China
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Li Z, Zeng N, Zhao X, Chen X, Liang G, Liu H, Lin J, Zheng P, Lin X, Zhou H, Zheng D. Urinary peptidome analysis in CKD and IgA nephropathy. Clin Kidney J 2023; 16:1965-1973. [PMID: 37915931 PMCID: PMC10616486 DOI: 10.1093/ckj/sfad211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Indexed: 11/03/2023] Open
Abstract
Background Chronic kidney disease (CKD) has emerged as a significant challenge to human health and economic stability in aging societies worldwide. Current clinical practice strategies remain insufficient for the early identification of kidney dysfunction, and the differential diagnosis of immunoglobulin A nephropathy (IgAN) predominantly relies on invasive kidney biopsy procedures. Methods First, we assessed a case-control cohort to obtain urine samples from healthy controls and biopsy-confirmed CKD patients. Matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) was applied to detect urinary peptide and then these urinary peptide profiles were used to construct diagnostic models to distinguish CKD patients from controls and identify IgAN patients from other nephropathy patients. Furthermore, we assessed the robustness of the diagnostic models and their reproducibility by applying different algorithms. Results A rapid and accurate working platform for detecting CKD and its IgAN subtype based on urinary peptide pattern detected by MALDI-TOF MS was established. Naturally occurring urinary peptide profiles were used to construct a diagnostic model to distinguish CKD patients from controls and identify IgAN patients from other nephropathy patients. The performance of several algorithms was assessed and demonstrated that the robustness of the diagnostic models as well as their reproducibility were satisfactory. Conclusions The present findings suggest that the CKD-related and IgAN-specific urinary peptides discovered facilitate precise identification of CKD and its IgAN subtype, offering a dependable framework for screening conditions linked to renal dysfunction. This will aid in comprehending the pathogenesis of nephropathy and identifying potential protein targets for the clinical management of nephropathy.
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Affiliation(s)
- Zewen Li
- Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Nianyi Zeng
- Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Xin Zhao
- Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Xuedong Chen
- Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Guangqing Liang
- Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Haiyue Liu
- Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
- Division of Laboratory Medicine, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Jinyan Lin
- Department of Health Management, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Peizhuang Zheng
- Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xingtao Lin
- Department of Pathology, Guangdong Provincial People's Hospital, Guangzhou, China
| | - Hongwei Zhou
- Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Daowen Zheng
- Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
- Department of Gerontology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
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6
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Wei D, Melgarejo JD, Van Aelst L, Vanassche T, Verhamme P, Janssens S, Peter K, Zhang ZY. Prediction of coronary artery disease using urinary proteomics. Eur J Prev Cardiol 2023; 30:1537-1546. [PMID: 36943304 DOI: 10.1093/eurjpc/zwad087] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 03/13/2023] [Accepted: 03/20/2023] [Indexed: 03/23/2023]
Abstract
AIMS Coronary artery disease (CAD) is multifactorial, caused by complex pathophysiology, and contributes to a high burden of mortality worldwide. Urinary proteomic analyses may help to identify predictive biomarkers and provide insights into the pathogenesis of CAD. METHODS AND RESULTS Urinary proteome was analysed in 965 participants using capillary electrophoresis coupled with mass spectrometry. A proteomic classifier was developed in a discovery cohort with 36 individuals with CAD and 36 matched controls using the support vector machine. The classifier was tested in a validation cohort with 115 individuals who progressed to CAD and 778 controls and compared with two previously developed CAD-associated classifiers, CAD238 and ACSP75. The Framingham and SCORE2 risk scores were available in 737 participants. Bioinformatic analysis was performed based on the CAD-associated peptides. The novel proteomic classifier was comprised of 160 urinary peptides, mainly related to collagen turnover, lipid metabolism, and inflammation. In the validation cohort, the classifier provided an area under the receiver operating characteristic curve (AUC) of 0.82 [95% confidence interval (CI): 0.78-0.87] for the CAD prediction in 8 years, superior to CAD238 (AUC: 0.71, 95% CI: 0.66-0.77) and ACSP75 (AUC: 0.53 and 95% CI: 0.47-0.60). On top of CAD238 and ACSP75, the addition of the novel classifier improved the AUC to 0.84 (95% CI: 0.80-0.89). In a multivariable Cox model, a 1-SD increment in the novel classifier was associated with a higher risk of CAD (HR: 1.54, 95% CI: 1.26-1.89, P < 0.0001). The new classifier further improved the risk reclassification of CAD on top of the Framingham or SCORE2 risk scores (net reclassification index: 0.61, 95% CI: 0.25-0.95, P = 0.001; 0.64, 95% CI: 0.28-0.98, P = 0.001, correspondingly). CONCLUSION A novel urinary proteomic classifier related to collagen metabolism, lipids, and inflammation showed potential for the risk prediction of CAD. Urinary proteome provides an alternative approach to personalized prevention.
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Affiliation(s)
- Dongmei Wei
- Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Campus Sint Rafaël, Kapucijnenvoer 7, Box 7001, BE-3000 Leuven, Belgium
| | - Jesus D Melgarejo
- Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Campus Sint Rafaël, Kapucijnenvoer 7, Box 7001, BE-3000 Leuven, Belgium
| | - Lucas Van Aelst
- Division of Cardiology, University Hospitals Leuven, University of Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Thomas Vanassche
- Division of Cardiology, University Hospitals Leuven, University of Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Peter Verhamme
- Division of Cardiology, University Hospitals Leuven, University of Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Stefan Janssens
- Division of Cardiology, University Hospitals Leuven, University of Leuven, Herestraat 49, 3000 Leuven, Belgium
| | - Karlheinz Peter
- Baker Heart and Diabetes Institute, 75 Commercial Rd, Melbourne VIC 3004, Australia
- Department of Cardiology, The Alfred Hospital, 55 Commercial Rd, Melbourne VIC 3004, Australia
| | - Zhen-Yu Zhang
- Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Campus Sint Rafaël, Kapucijnenvoer 7, Box 7001, BE-3000 Leuven, Belgium
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7
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de Beer D, Mels CMC, Schutte AE, Delles C, Mary S, Mullen W, Mischak H, Kruger R. Urinary Peptidomics and Pulse Wave Velocity: The African-PREDICT Study. J Proteome Res 2023; 22:3282-3289. [PMID: 37688558 PMCID: PMC10563154 DOI: 10.1021/acs.jproteome.3c00347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Indexed: 09/11/2023]
Abstract
Increased arterial stiffness is related to early vascular aging and is an independent predictor for cardiovascular disease and mortality. Molecular mechanisms underlying increased arterial stiffness are largely unexplored, especially at the proteome level. We aimed to explore the relationship between pulse wave velocity and urinary proteomics. We included 919 apparently healthy (no chronic illnesses) Black and White men and women (equally distributed) between 20 and 30 years from the African-PREDICT study. Capillary electrophoresis time-of-flight mass spectrometry was used to analyze the urinary proteome. We measured the carotid-femoral pulse wave velocity to estimate arterial stiffness. In the total group, pulse wave velocity correlated positively with collagen-derived peptides including collagen types I, II, III, IV, V, and IX and inversely with collagen type XI (adjusted for mean arterial pressure). Regarding noncollagen-derived peptides, pulse wave velocity positively correlated with polymeric immunoglobulin receptor peptides (n = 2) (all q-value ≤0.05). In multivariable adjusted analyses, pulse wave velocity associated positively and independently with seven urinary peptides (collagen type I, n = 5) (all p-value ≤0.05). We found significant positive and independent associations between pulse wave velocity and the collagen type I-derived peptides, suggesting that dysregulation of collagen type I in the extracellular matrix scaffold could lead to early onset of increased arterial stiffness.
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Affiliation(s)
- Dalene de Beer
- Hypertension
in Africa Research Team (HART),North-West
University (Potchefstroom Campus), Potchefstroom 2531, South Africa
| | - Catharina MC Mels
- Hypertension
in Africa Research Team (HART),North-West
University (Potchefstroom Campus), Potchefstroom 2531, South Africa
- MRC
Research Unit for Hypertension and Cardiovascular Disease, North-West University, Potchefstroom 2520, South Africa
| | - Aletta E Schutte
- Hypertension
in Africa Research Team (HART),North-West
University (Potchefstroom Campus), Potchefstroom 2531, South Africa
- MRC
Research Unit for Hypertension and Cardiovascular Disease, North-West University, Potchefstroom 2520, South Africa
- School
of Population Health, The George Institute for Global Health, University of New South Wales, Sydney, NSW 2042, Australia
| | - Christian Delles
- School
of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow G12 8QQ, U.K.
| | - Sheon Mary
- School
of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow G12 8QQ, U.K.
| | - William Mullen
- School
of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow G12 8QQ, U.K.
| | | | - Ruan Kruger
- Hypertension
in Africa Research Team (HART),North-West
University (Potchefstroom Campus), Potchefstroom 2531, South Africa
- MRC
Research Unit for Hypertension and Cardiovascular Disease, North-West University, Potchefstroom 2520, South Africa
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8
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Jiang Y, Zhao Y, Li ZY, Chen S, Fang F, Cai JH. Potential roles of microRNAs and long noncoding RNAs as diagnostic, prognostic and therapeutic biomarkers in coronary artery disease. Int J Cardiol 2023:S0167-5273(23)00478-3. [PMID: 37019219 DOI: 10.1016/j.ijcard.2023.03.067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Revised: 02/27/2023] [Accepted: 03/31/2023] [Indexed: 04/07/2023]
Abstract
Coronary artery disease (CAD), which is mainly caused by atherosclerotic processes in coronary arteries, became a significant health issue. MicroRNAs (miRNAs), and long noncoding RNAs (lncRNAs), have been shown to be stable in plasma and could thereby be adopted as biomarkers for CAD diagnosis and treatment. MiRNAs can regulate CAD development through different pathways and mechanisms, including modulation of vascular smooth muscle cell (VSMC) activity, inflammatory responses, myocardial injury, angiogenesis, and leukocyte adhesion. Similarly, previously studies have indicated that the causal effects of lncRNAs in CAD pathogenesis and their utility in CAD diagnosis and treatment, has been found to lead to cell cycle transition, proliferation dysregulation, and migration in favour of CAD development. Differential expression of miRNAs and lncRNAs in CAD patients has been identified and served as diagnostic, prognostic and therapeutic biomarkers for the assessment of CAD patients. Thus, in the current review, we summarize the functions of miRNAs and lncRNAs, which aimed to identify novel targets for the CAD diagnosis, prognosis, and treatment.
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Affiliation(s)
- Yong Jiang
- Department of Laboratory Medicine, Jilin Medical University, No. 5 Jilin Street, Jilin 132013, China.
| | - Ying Zhao
- Department of Cardiology, Jilin Central Hospital, Jilin 132011, China
| | - Zheng-Yi Li
- Department of Laboratory Medicine, Jilin Medical University, No. 5 Jilin Street, Jilin 132013, China
| | - Shuang Chen
- Department of Laboratory Medicine, Jilin Medical University, No. 5 Jilin Street, Jilin 132013, China
| | - Fang Fang
- Department of Laboratory Medicine, Jilin Medical University, No. 5 Jilin Street, Jilin 132013, China.
| | - Jian-Hui Cai
- Department of Clinical Medicine, Jilin Medical University, Jilin 132013, China; Jilin Collaborative Innovation Center for Antibody Engineering, Jilin Medical University, Jilin 132013, China.
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9
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de Beer D, Mels CMC, Schutte AE, Delles C, Mary S, Mullen W, Mischak H, Kruger R. A urinary peptidomics approach for early stages of cardiovascular disease risk: The African-PREDICT study. Hypertens Res 2023; 46:485-494. [PMID: 36396816 DOI: 10.1038/s41440-022-01097-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 09/15/2022] [Accepted: 09/23/2022] [Indexed: 11/18/2022]
Abstract
Cardiovascular disease (CVD) affects individuals across the lifespan, with multiple cardiovascular (CV) risk factors increasingly present in young populations. The underlying mechanisms in early cardiovascular disease development are complex and still poorly understood. We therefore employed urinary proteomics as a novel approach to gain better insight into early CVD-related molecular pathways based on a CVD risk stratification approach. This study included 964 apparently healthy (no self-reported chronic illnesses, free from clinical symptoms of CVD) black and white men and women (aged 20-30 years old) from the African Prospective study on the Early Detection and Identification of Cardiovascular disease and Hypertension (African-PREDICT) study. Cardiovascular risk factors used for stratification included obesity, physical inactivity, tobacco use, high alcohol intake, hyperglycemia, dyslipidemia and hypertension. Participants were divided into low (0 risk factors), medium (1-2 risk factors) and high (≥3 risk factors) CV risk groups. We analyzed urinary peptidomics by capillary electrophoresis time-of-flight mass spectrometry. After adjusting for ethnicity, sex and age, 65 sequenced urinary peptides were differentially expressed between the CV risk groups (all q-values ≤ 0.01). These peptides included a lower abundance of collagen type I- and III-derived peptides in the high compared to the low CV risk group. With regard to noncollagen peptides, we found a lower abundance of alpha-1-antitrypsin fragments in the high compared to the low CV risk group (all q-values ≤ 0.01). Our findings indicate lower abundances of collagen types I and III in the high compared to the low CV risk group, suggesting potential early alterations in the CV extracellular matrix.
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Affiliation(s)
- Dalene de Beer
- Hypertension in Africa Research Team (HART), North-West University (Potchefstroom Campus), Potchefstroom, South Africa
| | - Catharina M C Mels
- Hypertension in Africa Research Team (HART), North-West University (Potchefstroom Campus), Potchefstroom, South Africa
- MRC Research Unit for Hypertension and Cardiovascular Disease, North-West University, Potchefstroom, South Africa
| | - Aletta E Schutte
- Hypertension in Africa Research Team (HART), North-West University (Potchefstroom Campus), Potchefstroom, South Africa
- MRC Research Unit for Hypertension and Cardiovascular Disease, North-West University, Potchefstroom, South Africa
- School of Population Health, University of New South Wales; The George Institute for Global Health, Sydney, NSW, Australia
| | - Christian Delles
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Sheon Mary
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - William Mullen
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | | | - Ruan Kruger
- Hypertension in Africa Research Team (HART), North-West University (Potchefstroom Campus), Potchefstroom, South Africa.
- MRC Research Unit for Hypertension and Cardiovascular Disease, North-West University, Potchefstroom, South Africa.
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Chang CC, Tsai IJ, Shen WC, Chen HY, Hsu PW, Lin CY. A Coronary Artery Disease Monitoring Model Built from Clinical Data and Alpha-1-Antichymotrypsin. Diagnostics (Basel) 2022; 12:diagnostics12061415. [PMID: 35741224 PMCID: PMC9222053 DOI: 10.3390/diagnostics12061415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 06/04/2022] [Accepted: 06/05/2022] [Indexed: 11/16/2022] Open
Abstract
Coronary artery disease (CAD) is one of the most common subtypes of cardiovascular disease. The progression of CAD initiates from the plaque of atherosclerosis and coronary artery stenosis, and eventually turns into acute myocardial infarction (AMI) or stable CAD. Alpha-1-antichymotrypsin (AACT) has been highly associated with cardiac events. In this study, we proposed incorporating clinical data on AACT levels to establish a model for estimating the severity of CAD. Thirty-six healthy controls (HCs) and 162 CAD patients with stenosis rates of <30%, 30−70%, and >70% were included in this study. Plasma concentration of AACT was determined by enzyme-linked immunosorbent assay (ELISA). The receiver operating characteristic (ROC) curve analysis and associations were conducted. Further, five machine learning models, including decision tree, random forest, support vector machine, XGBoost, and lightGBM were implemented. The lightGBM model obtained a sensitivity of 81.4%, a specificity of 67.3%, and an area under the curve (AUC) of 0.822 for identifying CAD patients with a stenosis rate of <30% versus >30%. In this study, we provided a demonstration of a monitoring model with clinical data and AACT.
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Affiliation(s)
- Chen-Chi Chang
- Department of Laboratory Medicine, Taipei City Hospital Heping-Fuyou Branch, Taipei 10027, Taiwan;
| | - I-Jung Tsai
- Ph.D. Program in Medical Biotechnology, College of Medical Science and Technology, Taipei Medical University, Taipei 11031, Taiwan;
| | - Wen-Chi Shen
- Institute of Biotechnology, National Tsing Hua University, Hsinchu 30013, Taiwan;
| | - Hung-Yi Chen
- Department of Cardiology, Taipei City Hospital Heping-Fuyou Branch, Taipei 10027, Taiwan;
| | - Po-Wen Hsu
- Preventive Medical Center, Lo-Hsu Medical Foundation Luodong Poh-Ai Hospital, Yilan 26546, Taiwan
- Correspondence: (P.-W.H.); (C.-Y.L.); Tel.: +886-3-9543131 (ext. 2162) (P.-W.H.); +886-2-27361661 (ext. 3326) (C.-Y.L.)
| | - Ching-Yu Lin
- Ph.D. Program in Medical Biotechnology, College of Medical Science and Technology, Taipei Medical University, Taipei 11031, Taiwan;
- School of Medical Laboratory Science and Biotechnology, College of Medical Science and Technology, Taipei Medical University, Taipei 11031, Taiwan
- Correspondence: (P.-W.H.); (C.-Y.L.); Tel.: +886-3-9543131 (ext. 2162) (P.-W.H.); +886-2-27361661 (ext. 3326) (C.-Y.L.)
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11
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Saqib F, Wahid M, Al-Huqail AA, Ahmedah HT, Bigiu N, Irimie M, Moga M, Marc Vlaic RA, Pop OL, Chicea LM. Metabolomics based mechanistic insights to vasorelaxant and cardioprotective effect of ethanolic extract of Citrullus lanatus (Thunb.) Matsum. & Nakai. seeds in isoproterenol induced myocardial infraction. PHYTOMEDICINE : INTERNATIONAL JOURNAL OF PHYTOTHERAPY AND PHYTOPHARMACOLOGY 2022; 100:154069. [PMID: 35364560 DOI: 10.1016/j.phymed.2022.154069] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Revised: 02/14/2022] [Accepted: 03/19/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Cardiovascular diseases (CVDs) are a significant cause of morbidity and death in the current world, posing a challenge to both developing and industrialized nation's health systems. Citrullus lanatus (Thunb.) Matsum. & Nakai. seeds have long been utilized to supplement and enhance health and treat cardiovascular illnesses. However, its treatments for CVDs are still unknown. More research is required to fully comprehend the impact of C. lanatus seeds on vasorelaxation and myocardial infractions. PURPOSE Therefore, an integrated metabolomics profiling technique was used to investigate possible pathways of C. lanatus in isoproterenol (ISO)-induced myocardial infarction (MI). Isoproterenol causes long-term cardiac hypertrophy by causing cardiomyocyte compensatory loss, eventually leading to heart failure. METHODS In vitro models of vasoconstriction, atrium, and in vivo models of invasive blood pressure measurement and isoproterenol (ISO) induced cardiac hypertrophy in rats were used to understand underlying mechanistic by LC-MS/MS based dynamic metabolomics analysis of the serum and heart samples to be investigated the effect of ethanolic extract of C. lanatus (Cl.EtOH). RESULTS Cl.EtOH exhibited vasorelaxant, negative chronotropic, and inotropic effects in in-vitro models whereas, a potent hypotensive effect was observed in normotensive rats. The Cl.EtOH protected the animals from ISO-induced myocardial infarction (MI) with therapeutic interventions in left ventricular thickness, cardiomyocyte hypertrophy, mRNA gene expression, biochemical assays, and metabolomic profiling of serum and heart tissues. CONCLUSIONS For the first time, our study confirmed that C. lanatus seeds (Cl.EtOH) possess significant antihypertensive and prevent ISO-induced myocardial infarction. These findings comprehensively demonstrated mechanistic insights of Cl.EtOH in vasorelaxation and myocardial infarction. The current study provides evidence for further mechanistic studies and the development of C. lanatus seeds as a potential therapeutic intervention for patients with cardiovascular disorders.
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Affiliation(s)
- Fatima Saqib
- Department of Pharmacology, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, Pakistan
| | - Muqeet Wahid
- Department of Pharmacology, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, Pakistan
| | - Arwa Abdulkreem Al-Huqail
- Department of Biology, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
| | - Hanadi Talal Ahmedah
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Rabigh 25732, Saudi Arabia
| | - Nicusor Bigiu
- Faculty of Medicine, Transilvania University of Brasov, 500019 Brasov.
| | - Marius Irimie
- Faculty of Medicine, Transilvania University of Brasov, 500019 Brasov
| | - Marius Moga
- Faculty of Medicine, Transilvania University of Brasov, 500019 Brasov
| | - Romina Alina Marc Vlaic
- Food Engineering Department, Faculty of Food Science and Technology, University of Agricultural Sciences and Veterinary Medicine, 400372 Cluj-Napoca, Romania.
| | - Oana Lelia Pop
- Department of Food Science, University of Agricultural Science and Veterinary Medicine, 400372 Cluj-Napoca, Romania
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12
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Wahid M, Saqib F, Chicea L, Ahmedah HT, Sajer BH, Marc Vlaic RA, Pop OL, Moga M, Gavris C. Metabolomics analysis delineates the therapeutic effects of hydroethanolic extract of Cucumis sativus L. seeds on hypertension and isoproterenol-induced myocardial infarction. Biomed Pharmacother 2022; 148:112704. [PMID: 35180666 DOI: 10.1016/j.biopha.2022.112704] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 01/31/2022] [Accepted: 02/04/2022] [Indexed: 02/08/2023] Open
Abstract
Cucumis sativus L., widely cultivated as an edible vegetable. Its seeds are well reputed for cardiovascular preventive properties. However, the mechanisms underlying for cardiovascular protection of C. sativus are still unidentified. Therefore, this study utilized a metabolomics approach to investigate putative mechanisms of C. sativus seeds in myocardial infarction (MI) and in vitro models of vasoconstriction, atrium, and invasive blood pressure measurement. Results showed that Cu.EtOH extract showed a vasorelaxant response with potent hypotensive effect in normotensive rats and L-NAME induced hypertension. Cu.EtOH caused a negative inotropic and positive chronotropic effect on the atrium. Cu.EtOH protected the animals from ISO-induced myocardial infarction (MI) interventions in left ventricular thickness, cardiomyocyte hypertrophy, mRNA gene expression, and biochemical assays. The metabolomics data suggested that Cu.EtOH mainly affected amino acid metabolism, BCAA degradation, ketone bodies degradation, and oxidative stress. Our study showed that Cu.EtOH suppressed inflammation with a strong anti-myocardial infarction impact. Additionally, our findings indicated Cu.EtOH reverted the amino acid metabolism, BCAA, and ketone bodies degradation. The findings show the antihypertensive mechanism of Cu.EtOH may include the modulation of endothelium-derived relaxing factor (EDRF) produced from nitric oxide (NO) and is connected with vascular endothelial function. C. sativus seeds, in particular, played a pivotal role in the treatment of myocardial and vascular disorders by enhancing the EDRF mechanism, energy generation, and antioxidant capacity. In summary, our findings showed the mechanistic insights on the therapeutic potential of C. sativus seeds for cardiovascular disorders.
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Affiliation(s)
- Muqeet Wahid
- Department of Pharmacology, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, Pakistan.
| | - Fatima Saqib
- Department of Pharmacology, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, Pakistan.
| | - Liana Chicea
- Faculty of Medicine, Lucian Blaga University of Sibiu, 2A Lucian Blaga Str., 550169 Sibiu, Romania.
| | - Hanadi Talal Ahmedah
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Rabigh 25732, Saudi Arabia.
| | - Bayan Hussein Sajer
- Department of Biological Sciences, King Abdulaziz University, Jeddah 80200, Saudi Arabia.
| | - Romina Alina Marc Vlaic
- Departament of Food Engineering, Faculty of Food Science and Technology, University of Agricultural Sciences and Veterinary Medicine, 400372 Cluj-Napoca, Romania.
| | - Oana Lelia Pop
- Department of Food Science, Faculty of Food Science and Technology, University of Agricultural Science and Veterinary Medicine, 400372 Cluj-Napoca, Romania.
| | - Marius Moga
- Faculty of Medicine, Transilvania University of Brasov, Romania.
| | - Claudia Gavris
- Faculty of Medicine, Transilvania University of Brasov, Romania.
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13
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Score and Correlation Coefficient-Based Feature Selection for Predicting Heart Failure Diagnosis by Using Machine Learning Algorithms. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2021; 2021:8500314. [PMID: 34966445 PMCID: PMC8712170 DOI: 10.1155/2021/8500314] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Revised: 11/20/2021] [Accepted: 12/03/2021] [Indexed: 11/23/2022]
Abstract
Cardiovascular disease (CVD) is one of the most common causes of death that kills approximately 17 million people annually. The main reasons behind CVD are myocardial infarction and the failure of the heart to pump blood normally. Doctors could diagnose heart failure (HF) through electronic medical records on the basis of patient's symptoms and clinical laboratory investigations. However, accurate diagnosis of HF requires medical resources and expert practitioners that are not always available, thus making the diagnosing challengeable. Therefore, predicting the patients' condition by using machine learning algorithms is a necessity to save time and efforts. This paper proposed a machine-learning-based approach that distinguishes the most important correlated features amongst patients' electronic clinical records. The SelectKBest function was applied with chi-squared statistical method to determine the most important features, and then feature engineering method has been applied to create new features correlated strongly in order to train machine learning models and obtain promising results. Optimised hyperparameter classification algorithms SVM, KNN, Decision Tree, Random Forest, and Logistic Regression were used to train two different datasets. The first dataset, called Cleveland, consisted of 303 records. The second dataset, which was used for predicting HF, consisted of 299 records. Experimental results showed that the Random Forest algorithm achieved accuracy, precision, recall, and F1 scores of 95%, 97.62%, 95.35%, and 96.47%, respectively, during the test phase for the second dataset. The same algorithm achieved accuracy scores of 100% for the first dataset and 97.68% for the second dataset, while 100% precision, recall, and F1 scores were reached for both datasets.
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14
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Rudnicki M, Siwy J, Wendt R, Lipphardt M, Koziolek MJ, Maixnerova D, Peters B, Kerschbaum J, Leierer J, Neprasova M, Banasik M, Sanz AB, Perez-Gomez MV, Ortiz A, Stegmayr B, Tesar V, Mischak H, Beige J, Reich HN. Urine proteomics for prediction of disease progression in patients with IgA nephropathy. Nephrol Dial Transplant 2021; 37:42-52. [PMID: 33313853 PMCID: PMC8719618 DOI: 10.1093/ndt/gfaa307] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Risk of kidney function decline in immunoglobulin A (IgA) nephropathy (IgAN) is significant and may not be predicted by available clinical and histological tools. To serve this unmet need, we aimed at developing a urinary biomarker-based algorithm that predicts rapid disease progression in IgAN, thus enabling a personalized risk stratification. METHODS In this multicentre study, urine samples were collected in 209 patients with biopsy-proven IgAN. Progression was defined by tertiles of the annual change of estimated glomerular filtration rate (eGFR) during follow-up. Urine samples were analysed using capillary electrophoresis coupled mass spectrometry. The area under the receiver operating characteristic curve (AUC) was used to evaluate the risk prediction models. RESULTS Of the 209 patients, 64% were male. Mean age was 42 years, mean eGFR was 63 mL/min/1.73 m2 and median proteinuria was 1.2 g/day. We identified 237 urine peptides showing significant difference in abundance according to the tertile of eGFR change. These included fragments of apolipoprotein C-III, alpha-1 antitrypsin, different collagens, fibrinogen alpha and beta, titin, haemoglobin subunits, sodium/potassium-transporting ATPase subunit gamma, uromodulin, mucin-2, fractalkine, polymeric Ig receptor and insulin. An algorithm based on these protein fragments (IgAN237) showed a significant added value for the prediction of IgAN progression [AUC 0.89; 95% confidence interval (CI) 0.83-0.95], as compared with the clinical parameters (age, gender, proteinuria, eGFR and mean arterial pressure) alone (0.72; 95% CI 0.64-0.81). CONCLUSIONS A urinary peptide classifier predicts progressive loss of kidney function in patients with IgAN significantly better than clinical parameters alone.
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Affiliation(s)
- Michael Rudnicki
- Department of Internal Medicine IV, Nephrology and Hypertension, Medical University Innsbruck, Innsbruck, Austria
| | | | - Ralph Wendt
- Division of Nephrology and KfH Renal Unit, Hospital St Georg, Leipzig, Germany
| | - Mark Lipphardt
- Department of Nephrology and Rheumatology, University Medical Centre Göttingen, Göttingen, Germany
| | - Michael J Koziolek
- Department of Nephrology and Rheumatology, University Medical Centre Göttingen, Göttingen, Germany
| | - Dita Maixnerova
- Department of Nephrology, 1st School of Medicine and General University Hospital, Charles University, Prague, Czech Republic
| | - Björn Peters
- Department of Nephrology, Skaraborg Hospital, Skövde, Sweden
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Julia Kerschbaum
- Department of Internal Medicine IV, Nephrology and Hypertension, Medical University Innsbruck, Innsbruck, Austria
| | - Johannes Leierer
- Department of Internal Medicine IV, Nephrology and Hypertension, Medical University Innsbruck, Innsbruck, Austria
| | - Michaela Neprasova
- Department of Nephrology, 1st School of Medicine and General University Hospital, Charles University, Prague, Czech Republic
| | - Miroslaw Banasik
- Department of Nephrology and Transplantation Medicine, Wroclaw Medical University, Wroclaw, Poland
| | - Ana Belen Sanz
- Research Health Institute, Fundación Jiménez Díaz University, Madrid, Spain
| | | | - Alberto Ortiz
- Research Health Institute, Fundación Jiménez Díaz University, Madrid, Spain
| | - Bernd Stegmayr
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Vladimir Tesar
- Department of Nephrology, 1st School of Medicine and General University Hospital, Charles University, Prague, Czech Republic
| | | | - Joachim Beige
- Division of Nephrology and KfH Renal Unit, Hospital St Georg, Leipzig, Germany
- Martin-Luther-University Halle/Wittenberg, Halle/Saale, Germany
| | - Heather N Reich
- Department of Medicine, Division of Nephrology, University Health Network, University of Toronto, Toronto, Canada
- Nephrology Research, University of Toronto, Toronto, Ontario, Canada
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15
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Urinary Protein and Peptide Markers in Chronic Kidney Disease. Int J Mol Sci 2021; 22:ijms222212123. [PMID: 34830001 PMCID: PMC8625140 DOI: 10.3390/ijms222212123] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 10/28/2021] [Accepted: 11/03/2021] [Indexed: 12/21/2022] Open
Abstract
Chronic kidney disease (CKD) is a non-specific type of kidney disease that causes a gradual decline in kidney function (from months to years). CKD is a significant risk factor for death, cardiovascular disease, and end-stage renal disease. CKDs of different origins may have the same clinical and laboratory manifestations but different progression rates, which requires early diagnosis to determine. This review focuses on protein/peptide biomarkers of the leading causes of CKD: diabetic nephropathy, IgA nephropathy, lupus nephritis, focal segmental glomerulosclerosis, and membranous nephropathy. Mass spectrometry (MS) approaches provided the most information about urinary peptide and protein contents in different nephropathies. New analytical approaches allow urinary proteomic-peptide profiles to be used as early non-invasive diagnostic tools for specific morphological forms of kidney disease and may become a safe alternative to renal biopsy. MS studies of the key pathogenetic mechanisms of renal disease progression may also contribute to developing new approaches for targeted therapy.
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16
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Abstract
Peptides play a crucial role in many vitally important functions of living organisms. The goal of peptidomics is the identification of the "peptidome," the whole peptide content of a cell, organ, tissue, body fluid, or organism. In peptidomic or proteomic studies, capillary electrophoresis (CE) is an alternative technique for liquid chromatography. It is a highly efficient and fast separation method requiring extremely low amounts of sample. In peptidomic approaches, CE is commonly combined with mass spectrometric (MS) detection. Most often, CE is coupled with electrospray ionization MS and less frequently with matrix-assisted laser desorption/ionization MS. CE-MS has been employed in numerous studies dealing with determination of peptide biomarkers in different body fluids for various diseases, or in food peptidomic research for the analysis and identification of peptides with special biological activities. In addition to the above topics, sample preparation techniques commonly applied in peptidomics before CE separation and possibilities for peptide identification and quantification by CE-MS or CE-MS/MS methods are discussed in this chapter.
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17
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Doran S, Arif M, Lam S, Bayraktar A, Turkez H, Uhlen M, Boren J, Mardinoglu A. Multi-omics approaches for revealing the complexity of cardiovascular disease. Brief Bioinform 2021; 22:bbab061. [PMID: 33725119 PMCID: PMC8425417 DOI: 10.1093/bib/bbab061] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 01/20/2021] [Accepted: 02/05/2021] [Indexed: 02/06/2023] Open
Abstract
The development and progression of cardiovascular disease (CVD) can mainly be attributed to the narrowing of blood vessels caused by atherosclerosis and thrombosis, which induces organ damage that will result in end-organ dysfunction characterized by events such as myocardial infarction or stroke. It is also essential to consider other contributory factors to CVD, including cardiac remodelling caused by cardiomyopathies and co-morbidities with other diseases such as chronic kidney disease. Besides, there is a growing amount of evidence linking the gut microbiota to CVD through several metabolic pathways. Hence, it is of utmost importance to decipher the underlying molecular mechanisms associated with these disease states to elucidate the development and progression of CVD. A wide array of systems biology approaches incorporating multi-omics data have emerged as an invaluable tool in establishing alterations in specific cell types and identifying modifications in signalling events that promote disease development. Here, we review recent studies that apply multi-omics approaches to further understand the underlying causes of CVD and provide possible treatment strategies by identifying novel drug targets and biomarkers. We also discuss very recent advances in gut microbiota research with an emphasis on how diet and microbial composition can impact the development of CVD. Finally, we present various biological network analyses and other independent studies that have been employed for providing mechanistic explanation and developing treatment strategies for end-stage CVD, namely myocardial infarction and stroke.
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Affiliation(s)
- Stephen Doran
- Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, SE1 9RT, United Kingdom
| | - Muhammad Arif
- Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Simon Lam
- Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, SE1 9RT, United Kingdom
| | - Abdulahad Bayraktar
- Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, SE1 9RT, United Kingdom
| | - Hasan Turkez
- Department of Medical Biology, Faculty of Medicine, Atatürk University, Erzurum, Turkey
| | - Mathias Uhlen
- Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden
| | - Jan Boren
- Institute of Medicine, Department of Molecular and Clinical Medicine, University of Gothenburg and Sahlgrenska University Hospital Gothenburg, Sweden
| | - Adil Mardinoglu
- Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, SE1 9RT, United Kingdom
- Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden
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18
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Huo S, Wang H, Yan M, Xu P, Song T, Li C, Tian R, Chen X, Bao K, Xie Y, Xu P, Zhu W, Liu F, Mao W, Shao C. Urinary Proteomic Characteristics of Hyperuricemia and Their Possible Links with the Occurrence of Its Concomitant Diseases. ACS OMEGA 2021; 6:9500-9508. [PMID: 33869930 PMCID: PMC8047722 DOI: 10.1021/acsomega.0c06229] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 02/24/2021] [Indexed: 06/12/2023]
Abstract
Hyperuricemia (HUA), a chronic disease caused by metabolic disorders of purine, is often accompanied by other diseases such as gout, type 2 diabetes mellitus (T2DM), and hyperlipidemia. However, little is known about the relationship between HUA and these diseases on the protein level. We performed label-free liquid chromatography MS/MS spectrometry analysis of urine samples from 26 HUA patients and 25 healthy controls, attempting to establish the possible protein links between HUA and these diseases by profiling urine proteome. A total of 2119 proteins were characterized in sample proteomes. Among them, 11 were found decreased and 2 were found increased in HUA samples. Plausible pathways found by enrichment analysis of these differentially expressed proteins (DEPs) include the processes for insulin receptor recycling and lipid metabolism, suggesting potential links between HUA and T2DM and hyperlipidemia. The abundance changes of three key proteins (VATB1, CFAD, and APOC3) involved in these processes were validated by enzyme-linked immunosorbent assay (ELISA). In conclusion, our result provides proteomic evidence, for the first time, that the aberrant pathways enriched by described key DEPs are closely related to the incidence of HUA and its concomitant diseases.
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Affiliation(s)
- Shuai Huo
- State
Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University
of Chinese Medicine, Guangzhou 510120, China
- The
Second Clinical Medical College, Guangzhou
University of Chinese Medicine,Guangzhou 510405, China
- Department
of Nephrology, Henan Provincial People’s
Hospital, Department of Nephrology of Central China Fuwai Hospital, Zhengzhou, Henan 450003, China
| | - Hongxin Wang
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Center for Protein Sciences (Beijing), Beijing
Institute of Lifeomics, Beijing 102206, China
- Key
Laboratory of Zoological Systematics and Application of Hebei Province,
College of Life Sciences, Hebei University, Baoding 071002, China
| | - Meixia Yan
- State
Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University
of Chinese Medicine, Guangzhou 510120, China
- The
Second Clinical Medical College, Guangzhou
University of Chinese Medicine,Guangzhou 510405, China
| | - Peng Xu
- State
Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University
of Chinese Medicine, Guangzhou 510120, China
- The
Second Clinical Medical College, Guangzhou
University of Chinese Medicine,Guangzhou 510405, China
- Department
of Nephrology, Guangdong Provincial Hospital
of Chinese Medicine, Guangzhou 510120, China
- Guangdong
Provincial Academy of Chinese Medical Sciences, Guangzhou 510006, China
- Guangdong
Provincial Key Laboratory of Chinese Medicine for Prevention and Treatment
of Refractory Chronic Diseases, Department of Pediatrics, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou 510120, China
| | - Tingting Song
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Center for Protein Sciences (Beijing), Beijing
Institute of Lifeomics, Beijing 102206, China
| | - Chuang Li
- State
Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University
of Chinese Medicine, Guangzhou 510120, China
- The
Second Clinical Medical College, Guangzhou
University of Chinese Medicine,Guangzhou 510405, China
- Department
of Nephrology, Guangdong Provincial Hospital
of Chinese Medicine, Guangzhou 510120, China
- Guangdong
Provincial Academy of Chinese Medical Sciences, Guangzhou 510006, China
- Guangdong
Provincial Key Laboratory of Chinese Medicine for Prevention and Treatment
of Refractory Chronic Diseases, Department of Pediatrics, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou 510120, China
| | - Ruimin Tian
- State
Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University
of Chinese Medicine, Guangzhou 510120, China
- The
Second Clinical Medical College, Guangzhou
University of Chinese Medicine,Guangzhou 510405, China
- Department
of Nephrology, Guangdong Provincial Hospital
of Chinese Medicine, Guangzhou 510120, China
- Guangdong
Provincial Academy of Chinese Medical Sciences, Guangzhou 510006, China
- Guangdong
Provincial Key Laboratory of Chinese Medicine for Prevention and Treatment
of Refractory Chronic Diseases, Department of Pediatrics, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou 510120, China
| | - Xiaoling Chen
- State
Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University
of Chinese Medicine, Guangzhou 510120, China
- The
Second Clinical Medical College, Guangzhou
University of Chinese Medicine,Guangzhou 510405, China
| | - Kun Bao
- State
Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University
of Chinese Medicine, Guangzhou 510120, China
- The
Second Clinical Medical College, Guangzhou
University of Chinese Medicine,Guangzhou 510405, China
- Department
of Nephrology, Guangdong Provincial Hospital
of Chinese Medicine, Guangzhou 510120, China
- Guangdong
Provincial Academy of Chinese Medical Sciences, Guangzhou 510006, China
- Guangdong
Provincial Key Laboratory of Chinese Medicine for Prevention and Treatment
of Refractory Chronic Diseases, Department of Pediatrics, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou 510120, China
| | - Ying Xie
- State
Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau (SAR) 999078, China
| | - Ping Xu
- The
Second Clinical Medical College, Guangzhou
University of Chinese Medicine,Guangzhou 510405, China
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Center for Protein Sciences (Beijing), Beijing
Institute of Lifeomics, Beijing 102206, China
- Key
Laboratory of Zoological Systematics and Application of Hebei Province,
College of Life Sciences, Hebei University, Baoding 071002, China
| | - Weimin Zhu
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Center for Protein Sciences (Beijing), Beijing
Institute of Lifeomics, Beijing 102206, China
| | - Fengsong Liu
- Key
Laboratory of Zoological Systematics and Application of Hebei Province,
College of Life Sciences, Hebei University, Baoding 071002, China
| | - Wei Mao
- State
Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University
of Chinese Medicine, Guangzhou 510120, China
- The
Second Clinical Medical College, Guangzhou
University of Chinese Medicine,Guangzhou 510405, China
- Department
of Nephrology, Guangdong Provincial Hospital
of Chinese Medicine, Guangzhou 510120, China
- Guangdong
Provincial Academy of Chinese Medical Sciences, Guangzhou 510006, China
| | - Chen Shao
- State
Key Laboratory of Proteomics, Beijing Proteome Research Center, National
Center for Protein Sciences (Beijing), Beijing
Institute of Lifeomics, Beijing 102206, China
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19
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António M, Vitorino R, Daniel-da-Silva AL. Gold nanoparticles-based assays for biodetection in urine. Talanta 2021; 230:122345. [PMID: 33934794 DOI: 10.1016/j.talanta.2021.122345] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Revised: 03/16/2021] [Accepted: 03/18/2021] [Indexed: 12/24/2022]
Abstract
Urine is a biofluid easy to collect through a non-invasive technique that allows collecting a large volume of sample. The use of urine for disease diagnosis is not yet well explored. However, it has gained attention over the last three years. It has been applied in the diagnosis of several illnesses such as kidney disease, bladder cancer, prostate cancer and cardiovascular diseases. In the last decade, gold nanoparticles (Au NPs) have attracted attention in biosensors' development for the diagnosis of diseases due to their electrical and optical properties, ability to conjugate with biomolecules, high sensitivity, and selectivity. Therefore, this article aims to present a comprehensive view of state of the art on the advances made in the quantification of analytes in urinary samples using AuNPs based assays, with a focus on protein analysis. The type of diagnosis methods, the Au NPs synthesis approaches and the strategies for surface modification aiming at selectivity towards the different targets are highlighted.
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Affiliation(s)
- Maria António
- CICECO-Aveiro Institute of Materials, Chemistry Department, University of Aveiro, 3810-193, Aveiro, Portugal
| | - Rui Vitorino
- iBiMED-Institute of Biomedicine, Department of Medical Sciences, University of Aveiro, Aveiro, 3810-193, Portugal; Department of Surgery and Physiology, Cardiovascular R&D Center, Faculty of Medicine of the University of Porto, Alameda Professor Hernâni Monteiro, 4200-319, Porto, Portugal; LAQV-REQUIMTE, Chemistry Department, University of Aveiro, Aveiro, Portugal.
| | - Ana L Daniel-da-Silva
- CICECO-Aveiro Institute of Materials, Chemistry Department, University of Aveiro, 3810-193, Aveiro, Portugal.
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20
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Virreira Winter S, Karayel O, Strauss MT, Padmanabhan S, Surface M, Merchant K, Alcalay RN, Mann M. Urinary proteome profiling for stratifying patients with familial Parkinson's disease. EMBO Mol Med 2021; 13:e13257. [PMID: 33481347 PMCID: PMC7933820 DOI: 10.15252/emmm.202013257] [Citation(s) in RCA: 62] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2020] [Revised: 11/30/2020] [Accepted: 12/10/2020] [Indexed: 12/13/2022] Open
Abstract
The prevalence of Parkinson's disease (PD) is increasing but the development of novel treatment strategies and therapeutics altering the course of the disease would benefit from specific, sensitive, and non-invasive biomarkers to detect PD early. Here, we describe a scalable and sensitive mass spectrometry (MS)-based proteomic workflow for urinary proteome profiling. Our workflow enabled the reproducible quantification of more than 2,000 proteins in more than 200 urine samples using minimal volumes from two independent patient cohorts. The urinary proteome was significantly different between PD patients and healthy controls, as well as between LRRK2 G2019S carriers and non-carriers in both cohorts. Interestingly, our data revealed lysosomal dysregulation in individuals with the LRRK2 G2019S mutation. When combined with machine learning, the urinary proteome data alone were sufficient to classify mutation status and disease manifestation in mutation carriers remarkably well, identifying VGF, ENPEP, and other PD-associated proteins as the most discriminating features. Taken together, our results validate urinary proteomics as a valuable strategy for biomarker discovery and patient stratification in PD.
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Affiliation(s)
- Sebastian Virreira Winter
- Department of Proteomics and Signal TransductionMax Planck Institute of BiochemistryMartinsriedGermany
- Present address:
OmicEra Diagnostics GmbHPlaneggGermany
| | - Ozge Karayel
- Department of Proteomics and Signal TransductionMax Planck Institute of BiochemistryMartinsriedGermany
| | - Maximilian T Strauss
- Department of Proteomics and Signal TransductionMax Planck Institute of BiochemistryMartinsriedGermany
| | | | | | | | - Roy N Alcalay
- Department of NeurologyColumbia UniversityNew YorkNYUSA
| | - Matthias Mann
- Department of Proteomics and Signal TransductionMax Planck Institute of BiochemistryMartinsriedGermany
- Novo Nordisk Foundation Center for Protein ResearchFaculty of Health SciencesUniversity of CopenhagenCopenhagenDenmark
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21
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Aitekenov S, Gaipov A, Bukasov R. Review: Detection and quantification of proteins in human urine. Talanta 2021; 223:121718. [PMID: 33303164 PMCID: PMC7554478 DOI: 10.1016/j.talanta.2020.121718] [Citation(s) in RCA: 66] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 09/23/2020] [Accepted: 09/26/2020] [Indexed: 12/31/2022]
Abstract
Extensive medical research showed that patients, with high protein concentration in urine, have various kinds of kidney diseases, referred to as proteinuria. Urinary protein biomarkers are useful for diagnosis of many health conditions - kidney and cardio vascular diseases, cancers, diabetes, infections. This review focuses on the instrumental quantification (electrophoresis, chromatography, immunoassays, mass spectrometry, fluorescence spectroscopy, the infrared spectroscopy, and Raman spectroscopy) of proteins (the most of all albumin) in human urine matrix. Different techniques provide unique information on what constituents of the urine are. Due to complex nature of urine, a separation step by electrophoresis or chromatography are often used for proteomics study of urine. Mass spectrometry is a powerful tool for the discovery and the analysis of biomarkers in urine, however, costs of the analysis are high, especially for quantitative analysis. Immunoassays, which often come with fluorescence detection, are major qualitative and quantitative tools in clinical analysis. While Infrared and Raman spectroscopies do not give extensive information about urine, they could become important tools for the routine clinical diagnostics of kidney problems, due to rapidness and low-cost. Thus, it is important to review all the applicable techniques and methods related to urine analysis. In this review, a brief overview of each technique's principle is introduced. Where applicable, research papers about protein determination in urine are summarized with the main figures of merits, such as the limit of detection, the detectable range, recovery and accuracy, when available.
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Affiliation(s)
- Sultan Aitekenov
- School of Sciences and Humanities, Department of Chemistry, Nazarbaev University, Nur-Sultan, Kazakhstan
| | - Abduzhappar Gaipov
- School of Medicine, Department of Clinical Sciences, Nazarbaev University, Nur-Sultan, Kazakhstan
| | - Rostislav Bukasov
- School of Sciences and Humanities, Department of Chemistry, Nazarbaev University, Nur-Sultan, Kazakhstan.
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22
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Masood A, Benabdelkamel H, Jammah AA, Ekhzaimy AA, Alfadda AA. Identification of Protein Changes in the Urine of Hypothyroid Patients Treated with Thyroxine Using Proteomics Approach. ACS OMEGA 2021; 6:2367-2378. [PMID: 33521475 PMCID: PMC7841925 DOI: 10.1021/acsomega.0c05686] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 01/04/2021] [Indexed: 05/14/2023]
Abstract
The thyroid gland and thyroid hormones control a multitude of homeostatic functions including maintenance of fluid and electrolyte balance and normal functioning of the kidneys. Thyroid dysfunction alters the sytemic hemodynamic and metabolic balance, thereby affecting the kidney. In this study, we aimed to identify and characterize the urinary proteome of the patients with hypothyroidism. An untargeted proteomic approach with network analysis was used to identify changes in total urinary proteome in patients with newly diagnosed overt hypothyroidism. Urine samples were collected from nine age-matched patients' before and after l-thyroxine treatment. Differences in the abundance of urinary proteins between hypothyroid and euthyroid states were determined using a two-dimensional difference in gel electrophoresis (2D-DIGE) coupled to matrix-assisted laser desorption and ionization time-of-flight (MALDI TOF) mass spectrometry. Alterations in the abundance of urinary proteins, analyzed by Progenesis software, revealed statistically significant differential abundance in a total of 49 spots corresponding to 42 proteins, 28 up and 14 down (≥1.5-fold change, analysis of variance (ANOVA), p ≤ 0.05). The proteins identified in the study are known to regulate processes related to transport, acute phase response, oxidative stress, generation of reactive oxygen species, cellular proliferation, and endocytosis. Bioinformatic analysis using Ingenuity Pathway Analysis (IPA) identified dysregulation of pathways related to amino acid metabolism, molecular transport, and small-molecule biochemistry and involved the MAPK kinase, vascular endothelial growth factor (VEGF), PI3 kinase/Akt, protein kinase C (PKC), signaling pathways. The identified proteins were involved in the regulation of thyroglobulin (Tg) and thyrotropin (TSH) metabolism. Alterations in their levels indicate the presence of a compensatory mechanism aimed at increasing the regulation of Tg in the hypothyroid state.
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Affiliation(s)
- Afshan Masood
- Proteomics
Resource Unit, Obesity Research Center, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia
| | - Hicham Benabdelkamel
- Proteomics
Resource Unit, Obesity Research Center, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia
| | - Anwar A. Jammah
- Department
of Medicine, College of Medicine and King Saud Medical City, King Saud University, Riyadh 12372, Saudi Arabia
| | - Aishah A. Ekhzaimy
- Department
of Medicine, College of Medicine and King Saud Medical City, King Saud University, Riyadh 12372, Saudi Arabia
| | - Assim A. Alfadda
- Proteomics
Resource Unit, Obesity Research Center, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia
- Department
of Medicine, College of Medicine and King Saud Medical City, King Saud University, Riyadh 12372, Saudi Arabia
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23
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Fazmin IT, Achercouk Z, Edling CE, Said A, Jeevaratnam K. Circulating microRNA as a Biomarker for Coronary Artery Disease. Biomolecules 2020; 10:E1354. [PMID: 32977454 PMCID: PMC7598281 DOI: 10.3390/biom10101354] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 09/15/2020] [Accepted: 09/19/2020] [Indexed: 12/14/2022] Open
Abstract
Coronary artery disease (CAD) is the leading cause of sudden cardiac death in adults, and new methods of predicting disease and risk-stratifying patients will help guide intervention in order to reduce this burden. Current CAD detection involves multiple modalities, but the consideration of other biomarkers will help improve reliability. The aim of this narrative review is to help researchers and clinicians appreciate the growing relevance of miRNA in CAD and its potential as a biomarker, and also to suggest useful miRNA that may be targets for future study. We sourced information from several databases, namely PubMed, Scopus, and Google Scholar, when collating evidentiary information. MicroRNAs (miRNA) are short, noncoding RNAs that are relevant in cardiovascular physiology and pathophysiology, playing roles in cardiac hypertrophy, maintenance of vascular tone, and responses to vascular injury. CAD is associated with changes in miRNA expression profiles, and so are its risk factors, such as abnormal lipid metabolism and inflammation. Thus, they may potentially be biomarkers of CAD. Nevertheless, there are limitations in using miRNA. These include cost and the presence of several confounding factors that may affect miRNA profiles. Furthermore, there is difficulty in the normalisation of miRNA values between published studies, due to pre-analytical variations in samples.
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Affiliation(s)
- Ibrahim T. Fazmin
- Faculty of Health and Medical Science, University of Surrey, Guildford GU2 7AL, UK; (I.T.F.); (Z.A.); (C.E.E.)
- School of Clinical Medicine, University of Cambridge, Cambridge CB2 1TN, UK
| | - Zakaria Achercouk
- Faculty of Health and Medical Science, University of Surrey, Guildford GU2 7AL, UK; (I.T.F.); (Z.A.); (C.E.E.)
| | - Charlotte E. Edling
- Faculty of Health and Medical Science, University of Surrey, Guildford GU2 7AL, UK; (I.T.F.); (Z.A.); (C.E.E.)
| | - Asri Said
- School of Medicine, University Malaysia Sarawak, Kota Samarahan 94300, Sarawak, Malaysia;
| | - Kamalan Jeevaratnam
- Faculty of Health and Medical Science, University of Surrey, Guildford GU2 7AL, UK; (I.T.F.); (Z.A.); (C.E.E.)
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24
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Dratwa-Chałupnik A, Wojdyła K, Ożgo M, Lepczyński A, Michałek K, Herosimczyk A, Rogowska-Wrzesińska A. Urinary Proteome of Newborn Calves-New Potential in Non-Invasive Neonatal Diagnostic. Animals (Basel) 2020; 10:E1257. [PMID: 32722141 PMCID: PMC7459841 DOI: 10.3390/ani10081257] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 07/18/2020] [Accepted: 07/22/2020] [Indexed: 11/16/2022] Open
Abstract
Urine is a biological diagnostic material suitable not only for the analysis of kidney and urinary tract functions but also the function of other tissues and organs. The urine proteome of adult mammals differs from the urine proteome of neonatal ones. The establishment of urinary protein maps of healthy newborn calves is important for diagnosing and monitoring the progression of various diseases. The experiment was carried out on a Polish-Friesian var. of Black-and-White male calves in the sixth day of postnatal life. The two proteomics approaches used for separation and identification of urinary proteins were: 2-DE with MALDI-TOF-TOF-MS/MS and 1-DE with LC-MS/MS. This resulted in the identification of 692 urinary proteins. The majority of them were classified as extracellular proteins (40.32%), as well as proteins involved in regulation of major cellular processes (31.07%). We have observed the presence of unique proteins associated with embryonic (ameloblastin, alpha-fetoprotein, Delta-like protein, embryo-specific fibronectin 1 transcript variant, Indian hedgehog homolog) and kidney development (angiotensin-converting enzyme, angiotensinogen, aquaporin-1, calbindin, glypican 3, nidogen 1, pro-cathepsin H). Additionally, proteins involved in the renal regulation of water and electrolyte balance (angiotensinogen, angiotensin-converting enzyme, aquaporin-1, ezrin, uromodulin) were detected. Presented in the current study 1-D and 2-D urinary proteomic maps are the basis for the identification and detection of prognostic biomarkers important for defining a calf's health status.
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Affiliation(s)
- Alicja Dratwa-Chałupnik
- Department of Physiology, Cytobiology and Proteomics, Faculty of Biotechnology and Animal Husbandry, West Pomeranian University of Technology Szczecin, Klemensa Janickiego 29, 71-270 Szczecin, Poland; (M.O.); (A.L.); (K.M.); (A.H.)
| | - Katarzyna Wojdyła
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Campusvej 55, M-DK-5230 Odense, Denmark; (K.W.); (A.R.-W.)
| | - Małgorzata Ożgo
- Department of Physiology, Cytobiology and Proteomics, Faculty of Biotechnology and Animal Husbandry, West Pomeranian University of Technology Szczecin, Klemensa Janickiego 29, 71-270 Szczecin, Poland; (M.O.); (A.L.); (K.M.); (A.H.)
| | - Adam Lepczyński
- Department of Physiology, Cytobiology and Proteomics, Faculty of Biotechnology and Animal Husbandry, West Pomeranian University of Technology Szczecin, Klemensa Janickiego 29, 71-270 Szczecin, Poland; (M.O.); (A.L.); (K.M.); (A.H.)
| | - Katarzyna Michałek
- Department of Physiology, Cytobiology and Proteomics, Faculty of Biotechnology and Animal Husbandry, West Pomeranian University of Technology Szczecin, Klemensa Janickiego 29, 71-270 Szczecin, Poland; (M.O.); (A.L.); (K.M.); (A.H.)
| | - Agnieszka Herosimczyk
- Department of Physiology, Cytobiology and Proteomics, Faculty of Biotechnology and Animal Husbandry, West Pomeranian University of Technology Szczecin, Klemensa Janickiego 29, 71-270 Szczecin, Poland; (M.O.); (A.L.); (K.M.); (A.H.)
| | - Adelina Rogowska-Wrzesińska
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Campusvej 55, M-DK-5230 Odense, Denmark; (K.W.); (A.R.-W.)
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25
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Verbeke F, Siwy J, Van Biesen W, Mischak H, Pletinck A, Schepers E, Neirynck N, Magalhães P, Pejchinovski M, Pontillo C, Lichtinghagen R, Brand K, Vlahou A, De Bacquer D, Glorieux G. The urinary proteomics classifier chronic kidney disease 273 predicts cardiovascular outcome in patients with chronic kidney disease. Nephrol Dial Transplant 2019; 36:811-818. [DOI: 10.1093/ndt/gfz242] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Indexed: 12/11/2022] Open
Abstract
Abstract
Background
The urinary proteomic classifier chronic kidney disease 273 (CKD273) is predictive for the development and progression of chronic kidney disease (CKD) and/or albuminuria in type 2 diabetes. This study evaluates its role in the prediction of cardiovascular (CV) events in patients with CKD Stages G1–G5.
Methods
We applied the CKD273 classifier in a cohort of 451 patients with CKD Stages G1–G5 followed prospectively for a median of 5.5 years. Primary endpoints were all-cause mortality, CV mortality and the composite of non-fatal and fatal CV events (CVEs).
Results
In multivariate Cox regression models adjusting for age, sex, prevalent diabetes and CV history, the CKD273 classifier at baseline was significantly associated with total mortality and time to fatal or non-fatal CVE, but not CV mortality. Because of a significant interaction between CKD273 and CV history (P = 0.018) and CKD stages (P = 0.002), a stratified analysis was performed. In the fully adjusted models, CKD273 classifier was a strong and independent predictor of fatal or non-fatal CVE only in the subgroup of patients with CKD Stages G1–G3b and without a history of CV disease. In those patients, the highest tertile of CKD273 was associated with a >10-fold increased risk as compared with the lowest tertile.
Conclusions
The urinary CKD273 classifier provides additional independent information regarding the CV risk in patients with early CKD stage and a blank CV history. Determination of CKD273 scores on a random urine sample may improve the efficacy of intensified surveillance and preventive strategies by selecting patients who potentially will benefit most from early risk management.
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Affiliation(s)
- Francis Verbeke
- Department of Internal Medicine and Pediatrics, Nephrology Section, Ghent University Hospital, Ghent, Belgium
| | | | - Wim Van Biesen
- Department of Internal Medicine and Pediatrics, Nephrology Section, Ghent University Hospital, Ghent, Belgium
| | | | - Anneleen Pletinck
- Department of Internal Medicine and Pediatrics, Nephrology Section, Ghent University Hospital, Ghent, Belgium
| | - Eva Schepers
- Department of Internal Medicine and Pediatrics, Nephrology Section, Ghent University Hospital, Ghent, Belgium
| | - Nathalie Neirynck
- Department of Internal Medicine and Pediatrics, Nephrology Section, Ghent University Hospital, Ghent, Belgium
| | | | | | | | - Ralf Lichtinghagen
- Institute of Clinical Chemistry, Hannover Medical School, Hannover, Germany
| | - Korbinian Brand
- Institute of Clinical Chemistry, Hannover Medical School, Hannover, Germany
| | - Antonia Vlahou
- Biotechnology Division, Biomedical Research Foundation, Academy of Athens, Athens, Greece
| | - Dirk De Bacquer
- Department of Public Health and Primary Care, Ghent University, Ghent, Belgium
| | - Griet Glorieux
- Department of Internal Medicine and Pediatrics, Nephrology Section, Ghent University Hospital, Ghent, Belgium
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26
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Duangkumpha K, Stoll T, Phetcharaburanin J, Yongvanit P, Thanan R, Techasen A, Namwat N, Khuntikeo N, Chamadol N, Roytrakul S, Mulvenna J, Mohamed A, Shah AK, Hill MM, Loilome W. Urine proteomics study reveals potential biomarkers for the differential diagnosis of cholangiocarcinoma and periductal fibrosis. PLoS One 2019; 14:e0221024. [PMID: 31425520 PMCID: PMC6699711 DOI: 10.1371/journal.pone.0221024] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Accepted: 07/30/2019] [Indexed: 12/15/2022] Open
Abstract
Cholangiocarcinoma (CCA) is a primary malignant tumor of the epithelial lining of biliary track associated with endemic Opisthorchis viverrini (Ov) infection in northeastern Thailand. Ov-associated periductal fibrosis (PDF) is the precancerous lesion for CCA, and can be detected by ultrasonography (US) to facilitate early detection. However, US cannot be used to distinguish PDF from cancer. Therefore, the objective of this study was to discover and qualify potential urine biomarkers for CCA detection in at-risk population. Biomarker discovery was conducted on pooled urine samples, 42 patients per group, with PDF or normal bile duct confirmed by ultrasound. After depletion of high abundance proteins, 338 urinary proteins were identified from the 3 samples (normal-US, PDF-US, CCA). Based on fold change and literature review, 70 candidate proteins were selected for qualification by multiple reaction monitoring mass spectrometry (MRM-MS) in 90 individual urine samples, 30 per group. An orthogonal signal correction projection to latent structures discriminant analysis (O-PLS-DA) multivariate model constructed from the 70 candidate biomarkers significantly discriminated CCA from normal and PDF groups (P = 0.003). As an independent validation, the expression of 3 candidate proteins was confirmed by immunohistochemistry in CCA tissues: Lysosome associated membrane glycoprotein 1 (LAMP1), lysosome associated membrane glycoprotein 2 (LAMP2) and cadherin-related family member 2 (CDHR2). Further evaluation of these candidate biomarkers in a larger cohort is needed to support their applicability in a clinical setting for screening and monitoring early CCA and for CCA surveillance.
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Affiliation(s)
- Kassaporn Duangkumpha
- Department of Biochemistry, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.,Cholangiocarcinoma Research Institute, Khon Kaen University, Khon Kaen, Thailand
| | - Thomas Stoll
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Jutarop Phetcharaburanin
- Department of Biochemistry, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.,Cholangiocarcinoma Research Institute, Khon Kaen University, Khon Kaen, Thailand
| | - Puangrat Yongvanit
- Cholangiocarcinoma Research Institute, Khon Kaen University, Khon Kaen, Thailand
| | - Raynoo Thanan
- Department of Biochemistry, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Anchalee Techasen
- Cholangiocarcinoma Research Institute, Khon Kaen University, Khon Kaen, Thailand.,Faculty of Associated Medical Sciences, Khon Kaen University, Khon Kaen, Thailand
| | - Nisana Namwat
- Department of Biochemistry, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.,Cholangiocarcinoma Research Institute, Khon Kaen University, Khon Kaen, Thailand
| | - Narong Khuntikeo
- Cholangiocarcinoma Research Institute, Khon Kaen University, Khon Kaen, Thailand.,Department of Surgery, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Nittaya Chamadol
- Cholangiocarcinoma Research Institute, Khon Kaen University, Khon Kaen, Thailand.,Department of Radiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Sittiruk Roytrakul
- Proteomics Research Laboratory, Genome Institute, National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, Pathum Thani, Thailand
| | - Jason Mulvenna
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Ahmed Mohamed
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Alok K Shah
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Michelle M Hill
- QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Watcharin Loilome
- Department of Biochemistry, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.,Cholangiocarcinoma Research Institute, Khon Kaen University, Khon Kaen, Thailand
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27
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Ji X, Tang Z, Shuai W, Zhang Z, Li J, Chen L, Cao J, Yin W. Endogenous peptide LYENRL prevents the activation of hypertrophic scar-derived fibroblasts by inhibiting the TGF-β1/Smad pathway. Life Sci 2019; 231:116674. [DOI: 10.1016/j.lfs.2019.116674] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Revised: 07/19/2019] [Accepted: 07/19/2019] [Indexed: 12/16/2022]
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28
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Latosinska A, Siwy J, Mischak H, Frantzi M. Peptidomics and proteomics based on CE‐MS as a robust tool in clinical application: The past, the present, and the future. Electrophoresis 2019; 40:2294-2308. [DOI: 10.1002/elps.201900091] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Revised: 04/16/2019] [Accepted: 04/16/2019] [Indexed: 12/23/2022]
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29
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Zou L, Wang X, Guo Z, Sun H, Shao C, Yang Y, Sun W. Differential urinary proteomics analysis of myocardial infarction using iTRAQ quantification. Mol Med Rep 2019; 19:3972-3988. [PMID: 30942401 PMCID: PMC6471447 DOI: 10.3892/mmr.2019.10088] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2018] [Accepted: 02/06/2019] [Indexed: 11/06/2022] Open
Abstract
Myocardial infarction (MI) is a disease characterized by high morbidity and mortality rates. MI biomarkers are frequently used in clinical diagnosis; however, their specificity and sensitivity remain unsatisfactory. Urinary proteome is an easy, efficient and noninvasive source to examine biomarkers associated with various diseases. The present study, to the best of the authors' knowledge, is the first to examine the urinary proteome using the isobaric tags for relative and absolute quantitation (iTRAQ) technology to identify potential diagnostic biomarkers of MI. The urinary proteome was analyzed within 12 h following the first symptoms of early‑onset MI and at day 7 following percutaneous coronary intervention via iTRAQ labeling and two‑dimensional liquid chromatography‑tandem mass spectrometry. Candidate biomarkers were validated by multiple reaction monitoring (MRM) analysis. A total of 233 urinary proteins were differentially expressed. Gene enrichment analysis identified that the urinary proteome in patients with MI was associated with atherosclerosis, abnormal coagulation and abnormal cell metabolism. In total, 12 differentially expressed urinary proteins were validated by MRM analysis, five of which were associated with MI for the first time in the present study. Binary logistic regression analysis suggested that the combination of five urinary proteins (antithrombin‑III, complement C3, α‑1‑acid glycoprotein 1, serotransferrin and cathepsin Z) may be used to diagnose MI with 94% sensitivity and 93% specificity. In addition, the protein expression levels of three proteins were significantly restored to normal levels following surgical treatment. The verified candidate biomarkers may be used for the diagnosis of MI, and for monitoring the disease status and the effects of treatments for MI. The present results may facilitate future clinical applications of the urinary proteome to diagnose MI.
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Affiliation(s)
- Lili Zou
- Core Instrument Facility, Institute of Basic Medical Sciences, Chinese Academy of Medical Science and School of Basic Medicine, Peking Union Medical College, Beijing 100005, P.R. China
| | - Xubo Wang
- Department of Cardiology, The Fourth Hospital of Jilin University, Changchun, Jilin 130011, P.R. China
| | - Zhengguang Guo
- Core Instrument Facility, Institute of Basic Medical Sciences, Chinese Academy of Medical Science and School of Basic Medicine, Peking Union Medical College, Beijing 100005, P.R. China
| | - Haidan Sun
- Core Instrument Facility, Institute of Basic Medical Sciences, Chinese Academy of Medical Science and School of Basic Medicine, Peking Union Medical College, Beijing 100005, P.R. China
| | - Chen Shao
- National Key Laboratory of Medical Molecular Biology, Department of Physiology and Pathophysiology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing 100005, P.R. China
| | - Yehong Yang
- Core Instrument Facility, Institute of Basic Medical Sciences, Chinese Academy of Medical Science and School of Basic Medicine, Peking Union Medical College, Beijing 100005, P.R. China
| | - Wei Sun
- Core Instrument Facility, Institute of Basic Medical Sciences, Chinese Academy of Medical Science and School of Basic Medicine, Peking Union Medical College, Beijing 100005, P.R. China
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30
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Sun H, Wang D, Liu D, Guo Z, Shao C, Sun W, Zeng Y. Differential urinary proteins to diagnose coronary heart disease based on iTRAQ quantitative proteomics. Anal Bioanal Chem 2019; 411:2273-2282. [PMID: 30806752 DOI: 10.1007/s00216-019-01668-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Revised: 01/28/2019] [Accepted: 02/04/2019] [Indexed: 01/08/2023]
Abstract
Coronary artery disease (CAD) is a manifestation of systemic atherosclerotic disease. It is assessed by intervention or traditional scoring risk factors. Diagnosis is limited by inaccurate and invasive methods. Developing noninvasive methods to screen for the risk of CAD is a major challenge. We aimed to identify urinary proteins associated with CAD. We utilized iTRAQ labeling followed by 2D LC-MS/MS to compare the urinary proteome of CAD patients to healthy cohorts. The multiple reaction monitoring (MRM) was used to verify the differential proteins. ROC analysis based on MRM data was used to evaluate the diagnostic application. A total of 876 proteins were quantified, and 100 differential proteins were found. Functional analysis revealed that the differential proteins were mainly associated with Liver X Receptor/Retinoid X Receptor (LXR/RXR) pathway activation, atherosclerosis signaling, production of nitric oxide and reactive oxygen species, and the top upstream regulator of the differential proteins by IPA analysis indicated to the APOE. Nineteen differential proteins were verified by MRM analysis. ROC based on MRM data revealed that the combination of two proteins (APOD and TFF1) could diagnose CAD with 85% sensitivity and 99% specificity (AUC 0.95). The urinary proteome might reflect the pathophysiological changes in CAD and be used for the clinical study of CAD.
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Affiliation(s)
- Haidan Sun
- Core facility of instrument, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China
| | - Danqi Wang
- Core facility of instrument, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China
| | - Dongfang Liu
- Department of Cardiology, Peking Union Medical College Hospital, Beijing, 100730, 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, Beijing, 100005, China
| | - Chen Shao
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, 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, Beijing, 100005, China.
| | - Yong Zeng
- Department of Cardiology, Peking Union Medical College Hospital, Beijing, 100730, China.
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Borowczyk K, Piechocka J, Głowacki R, Dhar I, Midtun Ø, Tell GS, Ueland PM, Nygård O, Jakubowski H. Urinary excretion of homocysteine thiolactone and the risk of acute myocardial infarction in coronary artery disease patients: the WENBIT trial. J Intern Med 2019; 285:232-244. [PMID: 30193001 PMCID: PMC6378604 DOI: 10.1111/joim.12834] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVES No individual homocysteine (Hcy) metabolite has been studied as a risk marker for coronary artery disease (CAD). Our objective was to examine Hcy-thiolactone, a chemically reactive metabolite generated by methionyl-tRNA synthetase and cleared by the kidney, as a risk predictor of incident acute myocardial infarction (AMI) in the Western Norway B-Vitamin Intervention Trial. DESIGN Single centre, prospective double-blind clinical intervention study, randomized in a 2 × 2 factorial design. SUBJECTS AND METHODS Patients with suspected CAD (n = 2049, 69.8% men; 61.2-year-old) were randomized to groups receiving daily (i) folic acid (0.8 mg)/vitamin B12 (0.4 mg)/vitamin B6 (40 mg); (ii) folic acid/vitamin B12 ; (iii) vitamin B6 or (iv) placebo. Urinary Hcy-thiolactone was quantified at baseline, 12 and 38 months. RESULTS Baseline urinary Hcy-thiolactone/creatinine was significantly associated with plasma tHcy, ApoA1, glomerular filtration rate, potassium and pyridoxal 5'-phosphate (positively) and with age, hypertension, smoking, urinary creatinine, plasma bilirubin and kynurenine (negatively). During median 4.7-years, 183 patients (8.9%) suffered an AMI. In Cox regression analysis, Hcy-thiolactone/creatinine was associated with AMI risk (hazard ratio = 1.58, 95% confidence interval = 1.10-2.26, P = 0.012 for trend; adjusted for age, gender, tHcy). This association was confined to patients with pyridoxic acid below median (adjusted HR = 2.72, 95% CI = 1.47-5.03, P = 0.0001; Pinteraction = 0.020). B-vitamin/folate treatments did not affect Hcy-thiolactone/creatinine and its AMI risk association. CONCLUSIONS Hcy-thiolactone/creatinine ratio is a novel AMI risk predictor in patients with suspected CAD, independent of traditional risk factors and tHcy, but modified by vitamin B6 catabolism. These findings lend a support to the hypothesis that Hcy-thiolactone is mechanistically involved in cardiovascular disease.
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Affiliation(s)
- K Borowczyk
- Department of Microbiology, Biochemistry and Molecular Genetics, Rutgers-New Jersey Medical School, International Center for Public Health, Newark, NJ, USA.,Department of Environmental Chemistry, Faculty of Chemistry, University of Łódź, Łódź, Poland
| | - J Piechocka
- Department of Environmental Chemistry, Faculty of Chemistry, University of Łódź, Łódź, Poland
| | - R Głowacki
- Department of Environmental Chemistry, Faculty of Chemistry, University of Łódź, Łódź, Poland
| | - I Dhar
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | | | - G S Tell
- Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.,Division of Mental and Physical Health, Norwegian Institute of Public Health, Bergen, Norway
| | - P M Ueland
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - O Nygård
- Department of Clinical Science, University of Bergen, Bergen, Norway.,Department of Heart Disease, Haukeland University Hospital, Institute of Medicine, University of Bergen, Bergen, Norway
| | - H Jakubowski
- Department of Microbiology, Biochemistry and Molecular Genetics, Rutgers-New Jersey Medical School, International Center for Public Health, Newark, NJ, USA.,Department of Biochemistry and Biotechnology, Poznań University of Life Sciences, Poznań, Poland
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1H NMR-based dynamic metabolomics delineates the therapeutic effects of Baoyuan decoction on isoproterenol-induced cardiac hypertrophy. J Pharm Biomed Anal 2019; 163:64-77. [DOI: 10.1016/j.jpba.2018.09.049] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2018] [Revised: 09/18/2018] [Accepted: 09/27/2018] [Indexed: 12/18/2022]
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33
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Lin L, Yu Q, Zheng J, Cai Z, Tian R. Fast quantitative urinary proteomic profiling workflow for biomarker discovery in kidney cancer. Clin Proteomics 2018; 15:42. [PMID: 30607141 PMCID: PMC6303996 DOI: 10.1186/s12014-018-9220-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2018] [Accepted: 12/14/2018] [Indexed: 12/31/2022] Open
Abstract
Background Urine has evolved as a promising body fluids in clinical proteomics because it can be easily and noninvasively obtained and can reflect physiological and pathological status of the human body. Many efforts have been made to characterize more urinary proteins in recent years, but few have focused on the analysis throughput and detection reproducibility. Increasing the urine proteomic profiling throughput and reproducibility is urgently needed for discovering potential biomarker in large cohorts. Methods In this study, we developed a fast and robust workflow for streamlined urinary proteome analysis. The workflow integrate highly efficient sample preparation technique and urinary specific data-independent acquisition (DIA) approach. The performance of the workflow was systematically evaluated and the workflow was subsequently applied in a proof-of-concept urine proteome study of 21 kidney cancer (KC) patients and 22 healthy controls. Results With this workflow, the entire sample preparation process takes less than 3 h and allows multiplexing on standard centrifuges. Without pre-fractionation, our newly developed DIA method allows quantitative analysis of ~ 1000 proteins within 80 min of MS time (~ 15 samples/day). The quantitation accuracy of the whole workflow was excellent with median CV of 9.1%. The preliminary study on KC identified 125 significantly changed proteins. Conclusions The result suggested the feasibility of applying the high throughput workflow in extensive urinary proteome profiling and clinical relevant biomarker discovery. Electronic supplementary material The online version of this article (10.1186/s12014-018-9220-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Lin Lin
- Materials Characterization and Preparation Center, Southern University of Science and Technology, Shenzhen, 518055 China
| | - Quan Yu
- 2Division of Advanced Manufacturing, Graduate School at Shenzhen, Tsinghua University, Shenzhen, 518055 China
| | - Jiaxin Zheng
- 3Department of Urology and Center of Urology, The First Affiliated Hospital of Xiamen University, Xiamen, 361003 China
| | - Zonglong Cai
- 3Department of Urology and Center of Urology, The First Affiliated Hospital of Xiamen University, Xiamen, 361003 China
| | - Ruijun Tian
- Department of Chemistry and Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Southern University of Science and Technology, Shenzhen, 518055 China
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34
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Monitoring urinary orosomucoid in patients undergoing cardiac surgery: A promising novel inflammatory marker. Clin Biochem 2017; 50:1002-1006. [DOI: 10.1016/j.clinbiochem.2017.07.010] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2017] [Revised: 07/03/2017] [Accepted: 07/19/2017] [Indexed: 02/04/2023]
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35
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Cherney D, Perkins BA, Lytvyn Y, Heerspink H, Rodríguez-Ortiz ME, Mischak H. The effect of sodium/glucose cotransporter 2 (SGLT2) inhibition on the urinary proteome. PLoS One 2017; 12:e0186910. [PMID: 29084249 PMCID: PMC5662219 DOI: 10.1371/journal.pone.0186910] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Accepted: 09/14/2017] [Indexed: 12/02/2022] Open
Abstract
Treatment with empagliflozin, an inhibitor of the sodium/glucose cotransporter 2 (SGLT2), is associated with slower progression of diabetic kidney disease. In this analysis, we explored the hypothesis that empagliflozin may have an impact on urinary peptides associated with chronic kidney disease (CKD). In this post-hoc, exploratory analysis, we investigated urine samples obtained from 40 patients with uncomplicated type 1 diabetes (T1D) before and after treatment with empagliflozin for 8 weeks to for significant post-therapy changes in urinary peptides. We further assessed the association of these changes with CKD in an independent cohort, and with a previously established urinary proteomic panel, termed CKD273. 107 individual peptides significantly changed after treatment. The majority of the empagliflozin-induced changes were in the direction of “CKD absent” when compare to patients with CKD and controls. A classifier consisting of these 107 peptides scored significantly different in controls, in comparison to CKD patients. However, empagliflozin did not impact the CKD273 classifier. Our data indicate that empagliflozin induces multiple significant changes in the urinary proteomic markers such as mucin and clusterin. The relationship between empagliflozin-induced proteomic changes and clinical outcomes merits further investigation.
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Affiliation(s)
- David Cherney
- Division of Nephrology, University Health Network, University of Toronto, Toronto, Canada
| | - Bruce A. Perkins
- Division of Endocrinology, University Health Network, University of Toronto, Toronto, Canada
| | - Yuliya Lytvyn
- Division of Nephrology, University Health Network, University of Toronto, Toronto, Canada
| | - Hiddo Heerspink
- Department of Clinical Pharmacology University Medical Center Groningen, Groningen, the Netherlands
| | - María E. Rodríguez-Ortiz
- Instituto de Investigación Sanitaria Fundación Jiménez Díaz. Fundación Renal Iñigo Álvarez de Toledo. Universidad Autónoma de Madrid. REDinREN, Madrid, Spain
| | - Harald Mischak
- Mosaiques diagnostics GmbH, Hanover, Germany
- BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom
- * E-mail:
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36
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Röthlisberger S, Pedroza-Diaz J. Urine protein biomarkers for detection of cardiovascular disease and their use for the clinic. Expert Rev Proteomics 2017; 14:1091-1103. [DOI: 10.1080/14789450.2017.1394188] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Sarah Röthlisberger
- Grupo de Investigación e Innovación Biomédica, Instituto Tecnológico Metropolitano, Medellín, Colombia
| | - Johanna Pedroza-Diaz
- Grupo de Investigación e Innovación Biomédica, Instituto Tecnológico Metropolitano, Medellín, Colombia
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37
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Parker BL, Burchfield JG, Clayton D, Geddes TA, Payne RJ, Kiens B, Wojtaszewski JFP, Richter EA, James DE. Multiplexed Temporal Quantification of the Exercise-regulated Plasma Peptidome. Mol Cell Proteomics 2017; 16:2055-2068. [PMID: 28982716 DOI: 10.1074/mcp.ra117.000020] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2017] [Indexed: 01/06/2023] Open
Abstract
Exercise is extremely beneficial to whole body health reducing the risk of a number of chronic human diseases. Some of these physiological benefits appear to be mediated via the secretion of peptide/protein hormones into the blood stream. The plasma peptidome contains the entire complement of low molecular weight endogenous peptides derived from secretion, protease activity and PTMs, and is a rich source of hormones. In the current study we have quantified the effects of intense exercise on the plasma peptidome to identify novel exercise regulated secretory factors in humans. We developed an optimized 2D-LC-MS/MS method and used multiple fragmentation methods including HCD and EThcD to analyze endogenous peptides. This resulted in quantification of 5,548 unique peptides during a time course of exercise and recovery. The plasma peptidome underwent dynamic and large changes during exercise on a time-scale of minutes with many rapidly reversible following exercise cessation. Among acutely regulated peptides, many were known hormones including insulin, glucagon, ghrelin, bradykinin, cholecystokinin and secretogranins validating the method. Prediction of bioactive peptides regulated with exercise identified C-terminal peptides from Transgelins, which were increased in plasma during exercise. In vitro experiments using synthetic peptides identified a role for transgelin peptides on the regulation of cell-cycle, extracellular matrix remodeling and cell migration. We investigated the effects of exercise on the regulation of PTMs and proteolytic processing by building a site-specific network of protease/substrate activity. Collectively, our deep peptidomic analysis of plasma revealed that exercise rapidly modulates the circulation of hundreds of bioactive peptides through a network of proteases and PTMs. These findings illustrate that peptidomics is an ideal method for quantifying changes in circulating factors on a global scale in response to physiological perturbations such as exercise. This will likely be a key method for pinpointing exercise regulated factors that generate health benefits.
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Affiliation(s)
- Benjamin L Parker
- From the ‡Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, NSW 2006, Australia
| | - James G Burchfield
- From the ‡Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, NSW 2006, Australia
| | - Daniel Clayton
- §School of Chemistry, University of Sydney, Sydney, NSW 2006, Australia
| | - Thomas A Geddes
- From the ‡Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, NSW 2006, Australia
| | - Richard J Payne
- §School of Chemistry, University of Sydney, Sydney, NSW 2006, Australia
| | - Bente Kiens
- ¶Department of Nutrition, Exercise and Sports, August Krogh Centre, University of Copenhagen, Copenhagen 2100, Denmark
| | - Jørgen F P Wojtaszewski
- ¶Department of Nutrition, Exercise and Sports, August Krogh Centre, University of Copenhagen, Copenhagen 2100, Denmark
| | - Erik A Richter
- ¶Department of Nutrition, Exercise and Sports, August Krogh Centre, University of Copenhagen, Copenhagen 2100, Denmark
| | - David E James
- From the ‡Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, NSW 2006, Australia; .,‖School of Medicine, University of Sydney, Sydney, NSW 2006, Australia
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38
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Zhang ZY, Ravassa S, Nkuipou-Kenfack E, Yang WY, Kerr SM, Koeck T, Campbell A, Kuznetsova T, Mischak H, Padmanabhan S, Dominiczak AF, Delles C, Staessen JA. Novel Urinary Peptidomic Classifier Predicts Incident Heart Failure. J Am Heart Assoc 2017; 6:e005432. [PMID: 28784649 PMCID: PMC5586413 DOI: 10.1161/jaha.116.005432] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2016] [Accepted: 06/05/2017] [Indexed: 12/31/2022]
Abstract
BACKGROUND Detection of preclinical cardiac dysfunction and prognosis of left ventricular heart failure (HF) would allow targeted intervention, and appears to be the most promising approach in its management. Novel biomarker panels may support this approach and provide new insights into the pathophysiology. METHODS AND RESULTS A retrospective comparison of urinary proteomic profiles generated by mass spectrometric analysis from 49 HF patients, 36 patients who progressed to HF within 2.6±1.6 years, and 192 sex- and age-matched controls who did not progress to HF enabled identification of 96 potentially HF-specific peptide biomarkers. Based on these 96 peptides, the classifier called Heart Failure Predictor (HFP) was established by support vector machine modeling. The incremental prognostic value of HFP was subsequently evaluated in urine samples from 175 individuals with asymptomatic diastolic dysfunction from an independent population cohort. Within 4.8 years, 17 of these individuals progressed to overt HF. The area under receiver-operating characteristic curve was 0.70 (95% CI, 0.56-0.82); P=0.0047 for HFP and 0.57 (0.42-0.72; P=0.62) for N-terminal pro b-type natriuretic peptide. Hazard ratios were 1.63 (CI, 1.04-2.55; P=0.032) per 1-SD increment in HFP and 0.70 (CI, 0.35-1.41; P=0.32) for a doubling of the logarithmically transformed N-terminal pro b-type natriuretic peptide. CONCLUSIONS HFP is a novel biomarker derived from the urinary proteome and might serve as a sensitive tool to improve risk stratification, patient management, and understanding of the pathophysiology of HF.
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Affiliation(s)
- Zhen-Yu Zhang
- Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium
| | - Susana Ravassa
- Program of Cardiovascular Diseases, Centre for Applied Medical Research, Navarra Institute for Health Research, University of Navarra, Pamplona, Spain
- CIBERCV Carlos III Institute of Health, Madrid, Spain
| | | | - Wen-Yi Yang
- Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium
| | - Shona M Kerr
- Generation Scotland, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, United Kingdom
| | - Thomas Koeck
- Mosaiques Diagnostics and Therapeutics AG, Hanover, Germany
| | - Archie Campbell
- Generation Scotland, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, United Kingdom
| | - Tatiana Kuznetsova
- Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium
| | - Harald Mischak
- Mosaiques Diagnostics and Therapeutics AG, Hanover, Germany
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, United Kingdom
| | - Sandosh Padmanabhan
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, United Kingdom
| | - Anna F Dominiczak
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, United Kingdom
| | - Christian Delles
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, United Kingdom
| | - Jan A Staessen
- Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Belgium
- R & D Group VitaK, Maastricht University, Maastricht, The Netherlands
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Rysz J, Gluba-Brzózka A, Franczyk B, Jabłonowski Z, Ciałkowska-Rysz A. Novel Biomarkers in the Diagnosis of Chronic Kidney Disease and the Prediction of Its Outcome. Int J Mol Sci 2017; 18:E1702. [PMID: 28777303 PMCID: PMC5578092 DOI: 10.3390/ijms18081702] [Citation(s) in RCA: 156] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2017] [Revised: 07/17/2017] [Accepted: 07/26/2017] [Indexed: 02/07/2023] Open
Abstract
In its early stages, symptoms of chronic kidney disease (CKD) are usually not apparent. Significant reduction of the kidney function is the first obvious sign of disease. If diagnosed early (stages 1 to 3), the progression of CKD can be altered and complications reduced. In stages 4 and 5 extensive kidney damage is observed, which usually results in end-stage renal failure. Currently, the diagnosis of CKD is made usually on the levels of blood urea and serum creatinine (sCr), however, sCr has been shown to be lacking high predictive value. Due to the development of genomics, epigenetics, transcriptomics, proteomics, and metabolomics, the introduction of novel techniques will allow for the identification of novel biomarkers in renal diseases. This review presents some new possible biomarkers in the diagnosis of CKD and in the prediction of outcome, including asymmetric dimethylarginine (ADMA), symmetric dimethylarginine (SDMA), uromodulin, kidney injury molecule-1 (KIM-1), neutrophil gelatinase-associated lipocalin (NGAL), miRNA, ncRNA, and lincRNA biomarkers and proteomic and metabolomic biomarkers. Complicated pathomechanisms of CKD development and progression require not a single marker but their combination in order to mirror all types of alterations occurring in the course of this disease. It seems that in the not so distant future, conventional markers may be exchanged for new ones, however, confirmation of their efficacy, sensitivity and specificity as well as the reduction of analysis costs are required.
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Affiliation(s)
- Jacek Rysz
- Department of Nephrology, Hypertension and Family Medicine, Medical University of Lodz, Zeromskiego 113, 90-549 Lodz, Poland.
| | - Anna Gluba-Brzózka
- Department of Nephrology, Hypertension and Family Medicine, WAM Teaching Hospital, Zeromskiego 113, 90-549 Lodz, Poland.
| | - Beata Franczyk
- Department of Nephrology, Hypertension and Family Medicine, Medical University of Lodz, Zeromskiego 113, 90-549 Lodz, Poland.
| | - Zbigniew Jabłonowski
- I Department of Urology, Medical University of Lodz, Zeromskiego 113, 90-549 Lodz, Poland.
| | - Aleksandra Ciałkowska-Rysz
- Palliative Medicine Unit, Chair of Oncology, Medical University of Lodz, Zeromskiego 113, 90-549 Lodz, Poland.
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Trindade F, Ferreira R, Magalhães B, Leite-Moreira A, Falcão-Pires I, Vitorino R. How to use and integrate bioinformatics tools to compare proteomic data from distinct conditions? A tutorial using the pathological similarities between Aortic Valve Stenosis and Coronary Artery Disease as a case-study. J Proteomics 2017; 171:37-52. [PMID: 28336332 DOI: 10.1016/j.jprot.2017.03.015] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2016] [Revised: 02/28/2017] [Accepted: 03/19/2017] [Indexed: 11/25/2022]
Abstract
Nowadays we are surrounded by a plethora of bioinformatics tools, powerful enough to deal with the large amounts of data arising from proteomic studies, but whose application is sometimes hard to find. Therefore, we used a specific clinical problem - to discriminate pathophysiology and potential biomarkers between two similar cardiovascular diseases, aortic valve stenosis (AVS) and coronary artery disease (CAD) - to make a step-by-step guide through four bioinformatics tools: STRING, DisGeNET, Cytoscape and ClueGO. Proteome data was collected from articles available on PubMed centered on proteomic studies enrolling subjects with AVS or CAD. Through the analysis of gene ontology provided by STRING and ClueGO we could find specific biological phenomena associated with AVS, such as down-regulation of elastic fiber assembly, and with CAD, such as up-regulation of plasminogen activation. Moreover, through Cytoscape and DisGeNET we could pinpoint surrogate markers either for AVS (e.g. popeye domain containing protein 2 and 28S ribosomal protein S36, mitochondrial) or for CAD (e.g. ankyrin repeat and SOCS box protein 7) which deserve future validation. Data recycling and integration as well as research orientation are among the main advantages of resorting to bioinformatics analysis, hence these tutorials can be of great convenience for proteomics investigators. BIOLOGICAL SIGNIFICANCE As we saw for aortic valve stenosis and coronary artery disease, it can be of great relevance to perform preliminary bioinformatics analysis with already published proteomics data. It not only saves us time in the lab (avoiding work duplication) as it points out new hypothesis to explain the phenotypical presentation of the diseases as well as new surrogate markers with clinical relevance, deserving future scrutiny. These essential steps can be easily overcome if one follows the steps proposed in our tutorial for STRING, DisGeNET, Cytoscape and ClueGO utilization.
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Affiliation(s)
- Fábio Trindade
- Institute of Biomedicine, Department of Medical Sciences, University of Aveiro, Aveiro, Portugal; Unidade de Investigação Cardiovascular, Departamento de Cirurgia e Fisiologia, Faculdade de Medicina, Universidade do Porto, Porto, Portugal.
| | - Rita Ferreira
- QOPNA, Mass Spectrometry Center, Department of Chemistry, University of Aveiro, Aveiro, Portugal
| | - Beatriz Magalhães
- Institute of Biomedicine, Department of Medical Sciences, University of Aveiro, Aveiro, Portugal
| | - Adelino Leite-Moreira
- Unidade de Investigação Cardiovascular, Departamento de Cirurgia e Fisiologia, Faculdade de Medicina, Universidade do Porto, Porto, Portugal
| | - Inês Falcão-Pires
- Unidade de Investigação Cardiovascular, Departamento de Cirurgia e Fisiologia, Faculdade de Medicina, Universidade do Porto, Porto, Portugal
| | - Rui Vitorino
- Institute of Biomedicine, Department of Medical Sciences, University of Aveiro, Aveiro, Portugal; Unidade de Investigação Cardiovascular, Departamento de Cirurgia e Fisiologia, Faculdade de Medicina, Universidade do Porto, Porto, Portugal
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Htun NM, Magliano DJ, Zhang ZY, Lyons J, Petit T, Nkuipou-Kenfack E, Ramirez-Torres A, von zur Muhlen C, Maahs D, Schanstra JP, Pontillo C, Pejchinovski M, Snell-Bergeon JK, Delles C, Mischak H, Staessen JA, Shaw JE, Koeck T, Peter K. Prediction of acute coronary syndromes by urinary proteome analysis. PLoS One 2017; 12:e0172036. [PMID: 28273075 PMCID: PMC5342174 DOI: 10.1371/journal.pone.0172036] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2016] [Accepted: 01/30/2017] [Indexed: 01/20/2023] Open
Abstract
Identification of individuals who are at risk of suffering from acute coronary syndromes (ACS) may allow to introduce preventative measures. We aimed to identify ACS-related urinary peptides, that combined as a pattern can be used as prognostic biomarker. Proteomic data of 252 individuals enrolled in four prospective studies from Australia, Europe and North America were analyzed. 126 of these had suffered from ACS within a period of up to 5 years post urine sampling (cases). Proteomic analysis of 84 cases and 84 matched controls resulted in the discovery of 75 ACS-related urinary peptides. Combining these to a peptide pattern, we established a prognostic biomarker named Acute Coronary Syndrome Predictor 75 (ACSP75). ACSP75 demonstrated reasonable prognostic discrimination (c-statistic = 0.664), which was similar to Framingham risk scoring (c-statistics = 0.644) in a validation cohort of 42 cases and 42 controls. However, generating by a composite algorithm named Acute Coronary Syndrome Composite Predictor (ACSCP), combining the biomarker pattern ACSP75 with the previously established urinary proteomic biomarker CAD238 characterizing coronary artery disease as the underlying aetiology, and age as a risk factor, further improved discrimination (c-statistic = 0.751) resulting in an added prognostic value over Framingham risk scoring expressed by an integrated discrimination improvement of 0.273 ± 0.048 (P < 0.0001) and net reclassification improvement of 0.405 ± 0.113 (P = 0.0007). In conclusion, we demonstrate that urinary peptide biomarkers have the potential to predict future ACS events in asymptomatic patients. Further large scale studies are warranted to determine the role of urinary biomarkers in clinical practice.
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Affiliation(s)
- Nay M. Htun
- Atherothrombosis and Vascular Biology, Baker IDI Heart and Diabetes Institute, Melbourne, Australia
- Department of Medicine, Monash University, Melbourne, Australia
| | - Dianna J. Magliano
- Clinical Diabetes and Epidemiology, Baker IDI Heart and Diabetes Institute, Melbourne, Australia
| | - Zhen-Yu Zhang
- Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium
| | - Jasmine Lyons
- Clinical Diabetes and Epidemiology, Baker IDI Heart and Diabetes Institute, Melbourne, Australia
| | - Thibault Petit
- Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium
| | | | - Adela Ramirez-Torres
- Mosaiques Diagnostics GmbH, Hanover, Germany
- Sanford Burnham Prebys Medical Discovery Institute, La Jolla, California, United States of America
| | | | - David Maahs
- Department of Paediatrics, Stanford School of Medicine, Stanford, California, United States of America
- Barbara Davis Centre for Diabetes, University of Colorado School of Medicine, Aurora, Colorado, United States of America
| | - Joost P. Schanstra
- Institut National de la Santé et de la Recherche Médicale (INSERM), U1048, Institut of Cardiovascular and Metabolic Disease, Toulouse, France
- Université Toulouse III Paul-Sabatier, Toulouse, France
| | | | | | - Janet K. Snell-Bergeon
- Barbara Davis Centre for Diabetes, University of Colorado School of Medicine, Aurora, Colorado, United States of America
| | - Christian Delles
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Harald Mischak
- Mosaiques Diagnostics GmbH, Hanover, Germany
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Jan A. Staessen
- Studies Coordinating Centre, Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium
- R&D VitaK Group, Maastricht University, Maastricht, Netherlands
| | - Jonathan E. Shaw
- Clinical Diabetes and Epidemiology, Baker IDI Heart and Diabetes Institute, Melbourne, Australia
| | | | - Karlheinz Peter
- Atherothrombosis and Vascular Biology, Baker IDI Heart and Diabetes Institute, Melbourne, Australia
- Department of Medicine, Monash University, Melbourne, Australia
- * E-mail:
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42
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Rasmussen DGK, Sand JMB, Karsdal MA, Genovese F. Development of a Novel Enzyme-Linked Immunosorbent Assay Targeting a Neo-Epitope Generated by Cathepsin-Mediated Turnover of Type III Collagen and Its Application in Chronic Obstructive Pulmonary Disease. PLoS One 2017; 12:e0170023. [PMID: 28076408 PMCID: PMC5226775 DOI: 10.1371/journal.pone.0170023] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2016] [Accepted: 12/25/2016] [Indexed: 11/29/2022] Open
Abstract
A high level of extracellular matrix (ECM) turnover characterizes several lung diseases with fibrotic features. Type III collagen is one of the most abundant collagens in lung parenchyma, and cathepsins play a role in lung pathology, being responsible for tissue remodeling. In this study, we explore the diagnostic features of neo-epitope fragments of type III collagen generated by cathepsins that could reflect the pathological tissue turnover in patients with different diseases. A novel enzyme-linked immunosorbent assay (ELISA) measuring cathepsins B, L, S and K -generated type III collagen fragments (C3C) was developed for assessment in serum and plasma. The assay was biologically validated in serum from patients with chronic obstructive pulmonary disease (COPD). Serological levels of C3C were significantly elevated in patients with COPD compared to healthy controls (p = 0.0006). Levels of C3C in serum and heparin plasma of COPD patients had a highly significant correlation (R2 = 0.86, p<0.0001). The data suggests that the C3C fragment is elevated in patients with COPD compared to healthy controls.
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Affiliation(s)
- Daniel Guldager Kring Rasmussen
- Nordic Bioscience, Biomarkers and Research, Herlev, Denmark
- University of Southern Denmark, Institute of Molecular Medicine, Cardiovascular and Renal Research, Institute of Clinical Research, Odense, Denmark
- * E-mail:
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43
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Sergeeva V, Muminova K, Starodubtseva N, Kononikhin A, Bugrova A, Indeykina M, Baibakova V, Khodzhaeva Z, Kan N, Frankevich V, Shmakov R, Nikolaev E, Sukhikh G. Features of the urine peptidome under the condition of hypertensive pathologies of pregnancy. ACTA ACUST UNITED AC 2017; 63:379-384. [DOI: 10.18097/pbmc20176305379] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
In order to find a peptide panel to differentiate close hypertensive conditions a case-control study was designed for 64 women from 4 groups: preeclampsia (PE), chronic hypertension superimposed with PE, chronic hypertension, and healthy individuals. Chromatography coupled with mass-spectrometry and subsequent bioinformatic analysis showed several patterns in the changes of the urine peptidome. There were 36 peptides common for four groups. Twenty two of them 22 belonged to alpha-1-chain of collagen I, nine peptides were from alpha-1-chain of collagen III, two from alpha-2-chain of collagen I, one from alpha-1/2-chain of collagen I, one from alpha-1-chain of collagen I/XVIII and one from uromodulin. Patients with hypertensive disorders had 34 common peptides: 12 from alpha-1-chain of collagen I, 10 from fibrinogen alpha-chain, eight from alpha-1-chain of collagen III, and 4 per other types of collagen. Comparative analysis revealed 12 peptides, which could be used as a diagnostic panel for confident discrimination of pregnant women with various hypertensive disorders.
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Affiliation(s)
- V.A. Sergeeva
- Moscow Institute of Physics and Technology, Moscow, Russia; Emanuel Institute for Biochemical Physics, Moscow, Russia
| | - K.T. Muminova
- Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Moscow, Russia
| | - N.L. Starodubtseva
- Moscow Institute of Physics and Technology, Moscow, Russia; Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Moscow, Russia
| | - A.S. Kononikhin
- Moscow Institute of Physics and Technology, Moscow, Russia; Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Moscow, Russia
| | - A.E. Bugrova
- Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Moscow, Russia; Emanuel Institute for Biochemical Physics, Moscow, Russia
| | - M.I. Indeykina
- Emanuel Institute for Biochemical Physics, Moscow, Russia; Talrose Institute for Energy Problems of Chemical Physics, Moscow, Russia
| | - V.V. Baibakova
- Moscow Institute of Physics and Technology, Moscow, Russia
| | - Z.S. Khodzhaeva
- Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Moscow, Russia
| | - N.E. Kan
- Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Moscow, Russia
| | - V.E. Frankevich
- Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Moscow, Russia
| | - R.G. Shmakov
- Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Moscow, Russia
| | - E.N. Nikolaev
- Moscow Institute of Physics and Technology, Moscow, Russia; Talrose Institute for Energy Problems of Chemical Physics, Moscow, Russia
| | - G.T. Sukhikh
- Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Moscow, Russia
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Abstract
Several protein biomarkers, including cardiac troponin T, cardiac troponin I, B-type natriuretic peptide, C-reactive protein and apolipoprotein A-I, are widely employed in the evaluation of cardiovascular disease. Several of such potential biomarkers, or their multiscores, have been assessed over the last years for the prediction of cardiovascular risk but only a few of them have been validated for clinical use. Substantial improvement in the cardiovascular risk prediction and reclassification relative to traditional models therefore remains a difficult task presently unresolved. Hence, a potential importance of alternative approaches which may rely on novel proteomic biomarkers among others. Plasma or serum concentrations of numerous proteins were measured using proteomic approaches to establish their relationships with cardiovascular disease; none of them was however evaluated for cardiovascular risk prediction and subject stratification in rigorous large-scale studies. Thus, further research is needed to identify novel candidates that can improve cardiovascular risk prediction, subject stratification and standard care. Proteomics will undoubtedly remain a key approach to address this major clinical and scientific challenge.
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Affiliation(s)
- Anatol Kontush
- National Institute for Health and Medical Research (INSERM), Research Unit 1166 ICAN, University of Pierre and Marie Curie - Paris 6, Pitié - Salpétrière University Hospital, 91, boulevard de l'Hôpital, 75013, Paris, France.
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45
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Magalhães P, Schanstra JP, Carrick E, Mischak H, Zürbig P. Urinary biomarkers for renal tract malformations. Expert Rev Proteomics 2016; 13:1121-1129. [PMID: 27791437 DOI: 10.1080/14789450.2016.1254555] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
INTRODUCTION Renal tract malformations (RTMs) are congenital anomalies of the kidneys and urinary tract, which are the major cause of end-stage renal disease in children. Using immunoassay-based approaches (ELISA, western blot), individual urinary proteins including transforming growth factor β, tumor necrosis factor and monocyte attractant proteins 1 were found to be associated to RTMs. However, only mass spectrometry (MS) based methods leading to the identification of panels of protein-based markers composed of fragments of the extracellular matrix allowed the prediction of progression of RTMs and its complications. Areas covered: In this review, we summarized relevant studies identified in "Pubmed" using the keywords "urinary biomarkers" and "proteomics" and "renal tract malformations" or "hydronephrosis" or "ureteropelvic junction obstruction" or "posterior urethral valves" or "vesicoureteral reflux". These publications represent studies on potential protein-based biomarkers, either individually or combined in panels, of RTMs in human and animal models. Expert commentary: Successful use in the clinic of these protein-based biomarkers will need to involve larger scale studies to reach sufficient power. Improved performance will potentially come from combining immunoassay- and MS-based markers.
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Affiliation(s)
- Pedro Magalhães
- a Mosaiques Diagnostics GmbH , Hannover , Germany.,b Department of Pediatric Nephrology, Hannover Medical School , Hannover , Germany
| | - Joost P Schanstra
- c Institut National de la Santé et de la Recherche Médicale (INSERM), U1048, Institute of Cardiovascular and Metabolic Disease , Toulouse , France.,d Université Toulouse III Paul-Sabatier , Toulouse , France
| | - Emma Carrick
- e BHF Glasgow Cardiovascular Research Centre , Institute of Cardiovascular and Medical Sciences, University of Glasgow , Glasgow , UK
| | - Harald Mischak
- a Mosaiques Diagnostics GmbH , Hannover , Germany.,e BHF Glasgow Cardiovascular Research Centre , Institute of Cardiovascular and Medical Sciences, University of Glasgow , Glasgow , UK
| | - Petra Zürbig
- a Mosaiques Diagnostics GmbH , Hannover , Germany
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46
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Urinary peptidomics provides a noninvasive humanized readout of diabetic nephropathy in mice. Kidney Int 2016; 90:1045-1055. [DOI: 10.1016/j.kint.2016.06.023] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2016] [Revised: 05/25/2016] [Accepted: 06/16/2016] [Indexed: 01/31/2023]
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47
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Dratwa-Chałupnik A, Ożgo M, Lepczyński A, Herosimczyk A, Michałek K. Excessive amount of lactose in the diet of two-week-old calves induces
urinary protein changes. Arch Anim Breed 2016. [DOI: 10.5194/aab-59-417-2016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
Abstract. The present paper was undertaken to analyse and identify urinary proteins that were significantly altered in urine of calves in response to short-term administration of milk replacer with lactose addition. We used 2-D electrophoresis combined with matrix-assisted laser desorption/ionisation and time-of-flight (MALDI-TOF) mass spectrometry. Of all spots analysed, four showed significantly decreased abundance: alpha-1-antiproteinase (A1AT), serotransferrin (TF), sex hormone-binding globulin (SHBG) and cytochrome P450 2E1 (CYP2E1). One displayed an increased abundance: adenosine triphosphate (ATP)-citrate synthase. The changes in abundance of SHBG and CYP2E1 proteins were caused by the direct effect of an oversupply of sugar, while A1AT, TF and ATP-citrate synthase showed altered abundance probably due to indirect effects. The results of this study confirmed that calves' urine is a very precious biological material to evaluate the renal function, and it may be valuable in veterinary and zootechnical diagnostics.
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48
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Boizard F, Brunchault V, Moulos P, Breuil B, Klein J, Lounis N, Caubet C, Tellier S, Bascands JL, Decramer S, Schanstra JP, Buffin-Meyer B. A capillary electrophoresis coupled to mass spectrometry pipeline for long term comparable assessment of the urinary metabolome. Sci Rep 2016; 6:34453. [PMID: 27694997 PMCID: PMC5046087 DOI: 10.1038/srep34453] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2016] [Accepted: 09/14/2016] [Indexed: 01/31/2023] Open
Abstract
Although capillary electrophoresis coupled to mass spectrometry (CE-MS) has potential application in the field of metabolite profiling, very few studies actually used CE-MS to identify clinically useful body fluid metabolites. Here we present an optimized CE-MS setup and analysis pipeline to reproducibly explore the metabolite content of urine. We show that the use of a beveled tip capillary improves the sensitivity of detection over a flat tip. We also present a novel normalization procedure based on the use of endogenous stable urinary metabolites identified in the combined metabolome of 75 different urine samples from healthy and diseased individuals. This method allows a highly reproducible comparison of the same sample analyzed nearly 130 times over a range of 4 years. To demonstrate the use of this pipeline in clinical research we compared the urinary metabolome of 34 newborns with ureteropelvic junction (UPJ) obstruction and 15 healthy newborns. We identified 32 features with differential urinary abundance. Combination of the 32 compounds in a SVM classifier predicted with 76% sensitivity and 86% specificity UPJ obstruction in a separate validation cohort of 24 individuals. Thus, this study demonstrates the feasibility to use CE-MS as a tool for the identification of clinically relevant urinary metabolites.
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Affiliation(s)
- Franck Boizard
- Institut National de la Santé et de la Recherche Médicale (INSERM), U1048, Institut of Cardiovascular and Metabolic Disease, Equipe 12, 1 avenue Jean Poulhès, BP 84225, 31432 Toulouse Cedex 4, France.,Université Toulouse III Paul-Sabatier Toulouse, France
| | - Valérie Brunchault
- Institut National de la Santé et de la Recherche Médicale (INSERM), U1048, Institut of Cardiovascular and Metabolic Disease, Equipe 12, 1 avenue Jean Poulhès, BP 84225, 31432 Toulouse Cedex 4, France.,Université Toulouse III Paul-Sabatier Toulouse, France
| | | | - Benjamin Breuil
- Institut National de la Santé et de la Recherche Médicale (INSERM), U1048, Institut of Cardiovascular and Metabolic Disease, Equipe 12, 1 avenue Jean Poulhès, BP 84225, 31432 Toulouse Cedex 4, France.,Université Toulouse III Paul-Sabatier Toulouse, France
| | - Julie Klein
- Institut National de la Santé et de la Recherche Médicale (INSERM), U1048, Institut of Cardiovascular and Metabolic Disease, Equipe 12, 1 avenue Jean Poulhès, BP 84225, 31432 Toulouse Cedex 4, France.,Université Toulouse III Paul-Sabatier Toulouse, France
| | - Nadia Lounis
- Unité de Recherche Clinique Pédiatrique, Module Plurithématique Pédiatrique, Centre d'Investigation Clinique - Hôpital des Enfants, Toulouse, France
| | - Cécile Caubet
- Institut National de la Santé et de la Recherche Médicale (INSERM), U1048, Institut of Cardiovascular and Metabolic Disease, Equipe 12, 1 avenue Jean Poulhès, BP 84225, 31432 Toulouse Cedex 4, France.,Université Toulouse III Paul-Sabatier Toulouse, France
| | - Stéphanie Tellier
- CHU Toulouse, Hôpital des Enfants, Service de Néphrologie - Médecine Interne - Hypertension Pédiatrique, Toulouse, France
| | - Jean-Loup Bascands
- Institut National de la Santé et de la Recherche Médicale (INSERM), U1048, Institut of Cardiovascular and Metabolic Disease, Equipe 12, 1 avenue Jean Poulhès, BP 84225, 31432 Toulouse Cedex 4, France.,Université Toulouse III Paul-Sabatier Toulouse, France
| | - Stéphane Decramer
- Institut National de la Santé et de la Recherche Médicale (INSERM), U1048, Institut of Cardiovascular and Metabolic Disease, Equipe 12, 1 avenue Jean Poulhès, BP 84225, 31432 Toulouse Cedex 4, France.,Université Toulouse III Paul-Sabatier Toulouse, France.,CHU Toulouse, Hôpital des Enfants, Service de Néphrologie - Médecine Interne - Hypertension Pédiatrique, Toulouse, France
| | - Joost P Schanstra
- Institut National de la Santé et de la Recherche Médicale (INSERM), U1048, Institut of Cardiovascular and Metabolic Disease, Equipe 12, 1 avenue Jean Poulhès, BP 84225, 31432 Toulouse Cedex 4, France.,Université Toulouse III Paul-Sabatier Toulouse, France
| | - Bénédicte Buffin-Meyer
- Institut National de la Santé et de la Recherche Médicale (INSERM), U1048, Institut of Cardiovascular and Metabolic Disease, Equipe 12, 1 avenue Jean Poulhès, BP 84225, 31432 Toulouse Cedex 4, France.,Université Toulouse III Paul-Sabatier Toulouse, France
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49
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Basak T, Tanwar VS, Bhardwaj G, Bhardwaj N, Ahmad S, Garg G, V S, Karthikeyan G, Seth S, Sengupta S. Plasma proteomic analysis of stable coronary artery disease indicates impairment of reverse cholesterol pathway. Sci Rep 2016; 6:28042. [PMID: 27350024 PMCID: PMC4923873 DOI: 10.1038/srep28042] [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: 10/16/2015] [Accepted: 05/26/2016] [Indexed: 11/19/2022] Open
Abstract
Coronary artery disease (CAD) is one of the largest causes of death worldwide yet the traditional risk factors, although useful in identifying people at high risk, lack the desired predictive accuracy. Techniques like quantitative plasma proteomics holds immense potential to identify newer markers and this study (conducted in three phases) was aimed to identify differentially expressed proteins in stable CAD patients. In the first (discovery) phase, plasma from CAD cases (angiographically proven) and controls were subjected to iTRAQ based proteomic analysis. Proteins found to be differentially expressed were then validated in the second and third (verification and validation) phases in larger number of (n = 546) samples. After multivariate logistic regression adjusting for confounding factors (age, diet, etc.), four proteins involved in the reverse cholesterol pathway (Apo A1, ApoA4, Apo C1 and albumin) along with diabetes and hypertension were found to be significantly associated with CAD and could account for approximately 88% of the cases as revealed by ROC analysis. The maximum odds ratio was found to be 6.70 for albumin (p < 0.0001), followed by Apo AI (5.07, p < 0.0001), Apo CI (4.03, p = 0.001), and Apo AIV (2.63, p = 0.003). Down-regulation of apolipoproteins and albumin implicates the impairment of reverse cholesterol pathway in CAD.
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Affiliation(s)
- Trayambak Basak
- Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi, India.,Academy of Scientific &Innovative Research, New Delhi, India
| | - Vinay Singh Tanwar
- Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi, India
| | - Gourav Bhardwaj
- Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi, India
| | - Nitin Bhardwaj
- Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi, India
| | - Shadab Ahmad
- Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi, India
| | - Gaurav Garg
- Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi, India
| | - Sreenivas V
- Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, India
| | - Ganesan Karthikeyan
- Department of Cardiology, All India Institute of Medical Sciences, New Delhi, India
| | - Sandeep Seth
- Department of Cardiology, All India Institute of Medical Sciences, New Delhi, India
| | - Shantanu Sengupta
- Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi, India.,Academy of Scientific &Innovative Research, New Delhi, India
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50
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Neisius U, Koeck T, Mischak H, Rossi SH, Olson E, Carty DM, Dymott JA, Dominiczak AF, Berry C, Oldroyd KG, Delles C. Urine proteomics in the diagnosis of stable angina. BMC Cardiovasc Disord 2016; 16:70. [PMID: 27095611 PMCID: PMC4837614 DOI: 10.1186/s12872-016-0246-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2015] [Accepted: 04/14/2016] [Indexed: 12/15/2022] Open
Abstract
Background We have previously described a panel of 238 urinary polypeptides specific for established severe coronary artery disease (CAD). Here we studied this polypeptide panel in patients with a wider range of CAD severity. Methods We recruited 60 patients who underwent elective coronary angiography for investigation of stable angina. Patients were selected for either having angiographic evidence of CAD or not (NCA) following coronary angiography (n = 30/30; age, 55 ± 6 vs. 56 ± 7 years, P = 0.539) to cover the extremes of the CAD spectrum. A further 66 patients with severe CAD (age, 64 ± 9 years) prior to surgical coronary revascularization were added for correlation studies. The Gensini score was calculated from coronary angiograms as a measure of CAD severity. Urinary proteomic analyses were performed using capillary electrophoresis coupled online to micro time-of-flight mass spectrometry. The urinary polypeptide pattern was classified using a predefined algorithm and resulting in the CAD238 score, which expresses the pattern quantitatively. Results In the whole cohort of patients with CAD (Gensini score 60 [40; 98]) we found a close correlation between Gensini scores and CAD238 (ρ = 0.465, P < 0.001). After adjustment for age (β = 0.144; P = 0.135) the CAD238 score remained a significant predictor of the Gensini score (β =0.418; P < 0.001). In those with less severe CAD (Gensini score 40 [25; 61]), however, we could not detect a difference in CAD238 compared to patients with NCA (−0.487 ± 0.341 vs. −0.612 ± 0.269, P = 0.119). Conclusions In conclusion the urinary polypeptide CAD238 score is associated with CAD burden and has potential as a new cardiovascular biomarker. Electronic supplementary material The online version of this article (doi:10.1186/s12872-016-0246-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Ulf Neisius
- BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, 126 University Place, Glasgow, G12 8TA, UK
| | - Thomas Koeck
- mosaiques diagnostics GmbH, Rotenburger Str. 20, 30659, Hannover, Germany
| | - Harald Mischak
- BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, 126 University Place, Glasgow, G12 8TA, UK.,mosaiques diagnostics GmbH, Rotenburger Str. 20, 30659, Hannover, Germany
| | - Sabrina H Rossi
- BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, 126 University Place, Glasgow, G12 8TA, UK
| | - Erin Olson
- BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, 126 University Place, Glasgow, G12 8TA, UK
| | - David M Carty
- BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, 126 University Place, Glasgow, G12 8TA, UK
| | - Jane A Dymott
- BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, 126 University Place, Glasgow, G12 8TA, UK
| | - Anna F Dominiczak
- BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, 126 University Place, Glasgow, G12 8TA, UK
| | - Colin Berry
- BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, 126 University Place, Glasgow, G12 8TA, UK.,Golden Jubilee National Hospital, Agamemnon Street, Clydebank, G81 4DY, UK
| | - Keith G Oldroyd
- BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, 126 University Place, Glasgow, G12 8TA, UK.,Golden Jubilee National Hospital, Agamemnon Street, Clydebank, G81 4DY, UK
| | - Christian Delles
- BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, 126 University Place, Glasgow, G12 8TA, UK.
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